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How to Write a Research Paper: the LEAP approach (+cheat sheet)

In this article I will show you how to write a research paper using the four LEAP writing steps. The LEAP academic writing approach is a step-by-step method for turning research results into a published paper .

The LEAP writing approach has been the cornerstone of the 70 + research papers that I have authored and the 3700+ citations these paper have accumulated within 9 years since the completion of my PhD. I hope the LEAP approach will help you just as much as it has helped me to make an real, tangible impact with my research.

What is the LEAP research paper writing approach?

I designed the LEAP writing approach not only for merely writing the papers. My goal with the writing system was to show young scientists how to first think about research results and then how to efficiently write each section of the research paper.

In other words, you will see how to write a research paper by first analyzing the results and then building a logical, persuasive arguments. In this way, instead of being afraid of writing research paper, you will be able to rely on the paper writing process to help you with what is the most demanding task in getting published – thinking.

The four research paper writing steps according to the LEAP approach:

I will show each of these steps in detail. And you will be able to download the LEAP cheat sheet for using with every paper you write.

But before I tell you how to efficiently write a research paper, I want to show you what is the problem with the way scientists typically write a research paper and why the LEAP approach is more efficient.

How scientists typically write a research paper (and why it isn’t efficient)

Writing a research paper can be tough, especially for a young scientist. Your reasoning needs to be persuasive and thorough enough to convince readers of your arguments. The description has to be derived from research evidence, from prior art, and from your own judgment. This is a tough feat to accomplish.

The figure below shows the sequence of the different parts of a typical research paper. Depending on the scientific journal, some sections might be merged or nonexistent, but the general outline of a research paper will remain very similar.

Here is the problem: Most people make the mistake of writing in this same sequence.

While the structure of scientific articles is designed to help the reader follow the research, it does little to help the scientist write the paper. This is because the layout of research articles starts with the broad (introduction) and narrows down to the specifics (results). See in the figure below how the research paper is structured in terms of the breath of information that each section entails.

How to write a research paper according to the LEAP approach

For a scientist, it is much easier to start writing a research paper with laying out the facts in the narrow sections (i.e. results), step back to describe them (i.e. write the discussion), and step back again to explain the broader picture in the introduction.

For example, it might feel intimidating to start writing a research paper by explaining your research’s global significance in the introduction, while it is easy to plot the figures in the results. When plotting the results, there is not much room for wiggle: the results are what they are.

Starting to write a research papers from the results is also more fun because you finally get to see and understand the complete picture of the research that you have worked on.

Most importantly, following the LEAP approach will help you first make sense of the results yourself and then clearly communicate them to the readers. That is because the sequence of writing allows you to slowly understand the meaning of the results and then develop arguments for presenting to your readers.

I have personally been able to write and submit a research article in three short days using this method.

Step 1: Lay Out the Facts

You have worked long hours on a research project that has produced results and are no doubt curious to determine what they exactly mean. There is no better way to do this than by preparing figures, graphics and tables. This is what the first LEAP step is focused on – diving into the results.

How to p repare charts and tables for a research paper

Your first task is to try out different ways of visually demonstrating the research results. In many fields, the central items of a journal paper will be charts that are based on the data generated during research. In other fields, these might be conceptual diagrams, microscopy images, schematics and a number of other types of scientific graphics which should visually communicate the research study and its results to the readers. If you have reasonably small number of data points, data tables might be useful as well.

Tips for preparing charts and tables

• Try multiple chart types but in the finished paper only use the one that best conveys the message you want to present to the readers
• Follow the eight chart design progressions for selecting and refining a data chart for your paper: https://peerrecognized.com/chart-progressions
• Prepare scientific graphics and visualizations for your paper using the scientific graphic design cheat sheet: https://peerrecognized.com/tools-for-creating-scientific-illustrations/

How to describe the results of your research

Now that you have your data charts, graphics and tables laid out in front of you – describe what you see in them. Seek to answer the question: What have I found?  Your statements should progress in a logical sequence and be backed by the visual information. Since, at this point, you are simply explaining what everyone should be able to see for themselves, you can use a declarative tone: The figure X demonstrates that…

Tips for describing the research results :

• Answer the question: “ What have I found? “
• Use declarative tone since you are simply describing observations

Step 2: Explain the results

The core aspect of your research paper is not actually the results; it is the explanation of their meaning. In the second LEAP step, you will do some heavy lifting by guiding the readers through the results using logic backed by previous scientific research.

How to define the Message of a research paper

To define the central message of your research paper, imagine how you would explain your research to a colleague in 20 seconds . If you succeed in effectively communicating your paper’s message, a reader should be able to recount your findings in a similarly concise way even a year after reading it. This clarity will increase the chances that someone uses the knowledge you generated, which in turn raises the likelihood of citations to your research paper. 

Tips for defining the paper’s central message :

• Write the paper’s core message in a single sentence or two bullet points
• Write the core message in the header of the research paper manuscript

How to write the Discussion section of a research paper

In the discussion section you have to demonstrate why your research paper is worthy of publishing. In other words, you must now answer the all-important So what? question . How well you do so will ultimately define the success of your research paper.

Here are three steps to get started with writing the discussion section:

• Write bullet points of the things that convey the central message of the research article (these may evolve into subheadings later on).
• Make a list with the arguments or observations that support each idea.
• Finally, expand on each point to make full sentences and paragraphs.

Tips for writing the discussion section:

• What is the meaning of the results?
• Was the hypothesis confirmed?
• Write bullet points that support the core message
• List logical arguments for each bullet point, group them into sections
• Instead of repeating research timeline, use a presentation sequence that best supports your logic
• Convert arguments to full paragraphs; be confident but do not overhype
• Refer to both supportive and contradicting research papers for maximum credibility

How to write the Conclusions of a research paper

Since some readers might just skim through your research paper and turn directly to the conclusions, it is a good idea to make conclusion a standalone piece. In the first few sentences of the conclusions, briefly summarize the methodology and try to avoid using abbreviations (if you do, explain what they mean).

After this introduction, summarize the findings from the discussion section. Either paragraph style or bullet-point style conclusions can be used. I prefer the bullet-point style because it clearly separates the different conclusions and provides an easy-to-digest overview for the casual browser. It also forces me to be more succinct.

Tips for writing the conclusion section :

• Summarize the key findings, starting with the most important one
• Make conclusions standalone (short summary, avoid abbreviations)
• Add an optional take-home message and suggest future research in the last paragraph

How to refine the Objective of a research paper

The objective is a short, clear statement defining the paper’s research goals. It can be included either in the final paragraph of the introduction, or as a separate subsection after the introduction. Avoid writing long paragraphs with in-depth reasoning, references, and explanation of methodology since these belong in other sections. The paper’s objective can often be written in a single crisp sentence.

Tips for writing the objective section :

• The objective should ask the question that is answered by the central message of the research paper
• The research objective should be clear long before writing a paper. At this point, you are simply refining it to make sure it is addressed in the body of the paper.

How to write the Methodology section of your research paper

When writing the methodology section, aim for a depth of explanation that will allow readers to reproduce the study . This means that if you are using a novel method, you will have to describe it thoroughly. If, on the other hand, you applied a standardized method, or used an approach from another paper, it will be enough to briefly describe it with reference to the detailed original source.

Remember to also detail the research population, mention how you ensured representative sampling, and elaborate on what statistical methods you used to analyze the results.

Tips for writing the methodology section :

• Include enough detail to allow reproducing the research
• Provide references if the methods are known
• Create a methodology flow chart to add clarity
• Describe the research population, sampling methodology, statistical methods for result analysis
• Describe what methodology, test methods, materials, and sample groups were used in the research.

Step 3: Advertize the research

Step 3 of the LEAP writing approach is designed to entice the casual browser into reading your research paper. This advertising can be done with an informative title, an intriguing abstract, as well as a thorough explanation of the underlying need for doing the research within the introduction.

How to write the Introduction of a research paper

The introduction section should leave no doubt in the mind of the reader that what you are doing is important and that this work could push scientific knowledge forward. To do this convincingly, you will need to have a good knowledge of what is state-of-the-art in your field. You also need be able to see the bigger picture in order to demonstrate the potential impacts of your research work.

Think of the introduction as a funnel, going from wide to narrow, as shown in the figure below:

• Start with a brief context to explain what do we already know,
• Follow with the motivation for the research study and explain why should we care about it,
• Explain the research gap you are going to bridge within this research paper,
• Describe the approach you will take to solve the problem.

Tips for writing the introduction section :

• Follow the Context – Motivation – Research gap – Approach funnel for writing the introduction
• Explain how others tried and how you plan to solve the research problem
• Do a thorough literature review before writing the introduction
• Start writing the introduction by using your own words, then add references from the literature

How to prepare the Abstract of a research paper

The abstract acts as your paper’s elevator pitch and is therefore best written only after the main text is finished. In this one short paragraph you must convince someone to take on the time-consuming task of reading your whole research article. So, make the paper easy to read, intriguing, and self-explanatory; avoid jargon and abbreviations.

How to structure the abstract of a research paper:

• The abstract is a single paragraph that follows this structure:
• Problem: why did we research this
• Methodology: typically starts with the words “Here we…” that signal the start of own contribution.
• Results: what we found from the research.
• Conclusions: show why are the findings important

How to compose a research paper Title

The title is the ultimate summary of a research paper. It must therefore entice someone looking for information to click on a link to it and continue reading the article. A title is also used for indexing purposes in scientific databases, so a representative and optimized title will play large role in determining if your research paper appears in search results at all.

Tips for coming up with a research paper title:

• Capture curiosity of potential readers using a clear and descriptive title
• Include broad terms that are often searched
• Add details that uniquely identify the researched subject of your research paper
• Avoid jargon and abbreviations
• Use keywords as title extension (instead of duplicating the words) to increase the chance of appearing in search results

How to prepare Highlights and Graphical Abstract

Highlights are three to five short bullet-point style statements that convey the core findings of the research paper. Notice that the focus is on the findings, not on the process of getting there.

A graphical abstract placed next to the textual abstract visually summarizes the entire research paper in a single, easy-to-follow figure. I show how to create a graphical abstract in my book Research Data Visualization and Scientific Graphics.

Tips for preparing highlights and graphical abstract:

• In highlights show core findings of the research paper (instead of what you did in the study).
• In graphical abstract show take-home message or methodology of the research paper. Learn more about creating a graphical abstract in this article.

Step 4: Prepare for submission

Sometimes it seems that nuclear fusion will stop on the star closest to us (read: the sun will stop to shine) before a submitted manuscript is published in a scientific journal. The publication process routinely takes a long time, and after submitting the manuscript you have very little control over what happens. To increase the chances of a quick publication, you must do your homework before submitting the manuscript. In the fourth LEAP step, you make sure that your research paper is published in the most appropriate journal as quickly and painlessly as possible.

How to select a scientific Journal for your research paper

The best way to find a journal for your research paper is it to review which journals you used while preparing your manuscript. This source listing should provide some assurance that your own research paper, once published, will be among similar articles and, thus, among your field’s trusted sources.

After this initial selection of hand-full of scientific journals, consider the following six parameters for selecting the most appropriate journal for your research paper (read this article to review each step in detail):

• Scope and publishing history
• Ranking and Recognition
• Publishing time
• Acceptance rate
• Content requirements
• Access and Fees

How to select a journal for your research paper:

• Use the six parameters to select the most appropriate scientific journal for your research paper
• Use the following tools for journal selection: https://peerrecognized.com/journals
• Follow the journal’s “Authors guide” formatting requirements

How to Edit you manuscript

No one can write a finished research paper on their first attempt. Before submitting, make sure to take a break from your work for a couple of days, or even weeks. Try not to think about the manuscript during this time. Once it has faded from your memory, it is time to return and edit. The pause will allow you to read the manuscript from a fresh perspective and make edits as necessary.

I have summarized the most useful research paper editing tools in this article.

Tips for editing a research paper:

• Take time away from the research paper to forget about it; then returning to edit,
• Start by editing the content: structure, headings, paragraphs, logic, figures
• Continue by editing the grammar and language; perform a thorough language check using academic writing tools
• Read the entire paper out loud and correct what sounds weird

How to write a compelling Cover Letter for your paper

Begin the cover letter by stating the paper’s title and the type of paper you are submitting (review paper, research paper, short communication). Next, concisely explain why your study was performed, what was done, and what the key findings are. State why the results are important and what impact they might have in the field. Make sure you mention how your approach and findings relate to the scope of the journal in order to show why the article would be of interest to the journal’s readers.

I wrote a separate article that explains what to include in a cover letter here. You can also download a cover letter template from the article.

Tips for writing a cover letter:

• Explain how the findings of your research relate to journal’s scope
• Tell what impact the research results will have
• Show why the research paper will interest the journal’s audience
• Add any legal statements as required in journal’s guide for authors

How to Answer the Reviewers

Reviewers will often ask for new experiments, extended discussion, additional details on the experimental setup, and so forth. In principle, your primary winning tactic will be to agree with the reviewers and follow their suggestions whenever possible. After all, you must earn their blessing in order to get your paper published.

Be sure to answer each review query and stick to the point. In the response to the reviewers document write exactly where in the paper you have made any changes. In the paper itself, highlight the changes using a different color. This way the reviewers are less likely to re-read the entire article and suggest new edits.

In cases when you don’t agree with the reviewers, it makes sense to answer more thoroughly. Reviewers are scientifically minded people and so, with enough logical and supported argument, they will eventually be willing to see things your way.

Tips for answering the reviewers:

• Agree with most review comments, but if you don’t, thoroughly explain why
• Highlight changes in the manuscript
• Do not take the comments personally and cool down before answering

The LEAP research paper writing cheat sheet

Imagine that you are back in grad school and preparing to take an exam on the topic: “How to write a research paper”. As an exemplary student, you would, most naturally, create a cheat sheet summarizing the subject… Well, I did it for you.

This one-page summary of the LEAP research paper writing technique will remind you of the key research paper writing steps. Print it out and stick it to a wall in your office so that you can review it whenever you are writing a new research paper.

Now that we have gone through the four LEAP research paper writing steps, I hope you have a good idea of how to write a research paper. It can be an enjoyable process and once you get the hang of it, the four LEAP writing steps should even help you think about and interpret the research results. This process should enable you to write a well-structured, concise, and compelling research paper.

Have fund with writing your next research paper. I hope it will turn out great!

Learn writing papers that get cited

The LEAP writing approach is a blueprint for writing research papers. But to be efficient and write papers that get cited, you need more than that.

My name is Martins Zaumanis and in my interactive course Research Paper Writing Masterclass I will show you how to  visualize  your research results,  frame a message  that convinces your readers, and write  each section  of the paper. Step-by-step.

And of course – you will learn to respond the infamous  Reviewer No.2.

Hey! My name is Martins Zaumanis and I am a materials scientist in Switzerland ( Google Scholar ). As the first person in my family with a PhD, I have first-hand experience of the challenges starting scientists face in academia. With this blog, I want to help young researchers succeed in academia. I call the blog “Peer Recognized”, because peer recognition is what lifts academic careers and pushes science forward.

Besides this blog, I have written the Peer Recognized book series and created the Peer Recognized Academy offering interactive online courses.

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What is an abstract?

The abstract is a brief summary of your dissertation to help a new reader understand the purpose and content of the document, in much the same way as you would read the abstract of a journal article to help decide whether it was relevant to your work. The function of the abstract is to describe and summarise the contents of the dissertation, rather than making critical or evaluative statements about the project.

When should I write the abstract?

The abstract should be the last section you write before submitting your final dissertation or extended project report, as the content will only be decided once the main document is complete. 

What should I include?

One of the best ways to find the right ‘voice’ for the abstract is to look at other examples, either from dissertations in your field or study, or from journal articles. Look out for examples that you feel communicate complex ideas in a simple and accessible way. Your abstract should be clear and understandable to a non-specialist, so avoid specialist vocabulary as far as possible, and use simple sentence structures over longer more complex constructions. You can find a list of phrases for abstract writing here .

Most abstracts are written in the present tense, but this may differ in some disciplines, so find examples to inform your decision on how to write. Avoid the future tense - ‘this dissertation will consider’ - as the research has already been completed by the time someone is reading the abstract! You can explore some key phrases to use in abstract writing here.

Examples of dissertation abstracts Dissertation abstracts, University of Leeds Overview of what to include in your abstract, University of Wisconsin - Madison Abstract structures from different disciplines, The Writing Center For examples from Sheffield Hallam University, use the 'Advanced Search' function in Library Search to access ‘Dissertations/Theses’.

What should the introduction include?

Your introduction should cover the following points:.

• Provide context and set the scene for your research project using literature where necessary.
• Explain the rationale and value of the project.
• Provide definitions and address general limitations in the literature that have influenced the topic or scope of your project.
• Present your research aims and objectives, which may also be phrased as the research ‘problem’ or questions.

Although it is important to draft your research aims and objectives early in the research process, the introduction will be one of the last sections you write. When deciding on how much context and which definitions to include in this section, remember to look back at your literature review to avoid any repetition. It may be that you can repurpose some of the early paragraphs in the literature review for the introduction.

What is the ‘research aim’?

The research aim is a mission statement, that states the main ambition of your project. in other words, what does your research project hope to achieve you may also express this as the ‘big questions’ that drives your project, or as the research problem that your dissertation will aim to address or solve..

You only need one research aim, and this is likely to change as your dissertation develops through the literature review. Keep returning to your research aim and your aspirations for the project regularly to help shape this statement.

What are the research objectives? How are they different from research questions?

Research objectives and questions are the same thing – the only difference is how they are written! The objectives are the specific tasks that you will need to complete – the stepping stones – that will enable you to achieve your overall research aim.

You will usually have 3-5 research objectives, and their order will hep the reader to understand how you will progress through your research project from start to finish. If you can achieve each objective, or answer each research question, you should meet your research aim! It is therefore important to be specific in your choice of language: verbs, such as ‘to investigate’, ‘to explore’, ‘to assess’ etc. will help your research appear “do-able” (Farrell, 2011).

Here’s an example of three research objectives, also phrased as research questions (this depends entirely on your preference):

For more ideas on how to write research objectives, take at look at this list of common academic verbs for creating specific, achievable research tasks and questions.

We have an  online study guide dedicated to planning and structuring your literature review.

What is the purpose of the methodology section?

The methodology outlines the procedure and process of your data collection. You should therefore provide enough detail so that a reader could replicate or adapt your methodology in their own research.

While the literature review focuses on the views and arguments of other authors, the methodology puts the spotlight on your project. Two of the key questions you should aim to answer in this section are:

• Why did you select the methods you used?
• How do these methods answer your research question(s)?

The methodology chapter should also justify and explain your choice of methodology and methods. At every point where you faced a decision, ask: Why did choose this approach? Why not something else? Why was this theory/method/tool the most relevant or suitable for my project? How did this decision contribute to answering my research questions?

Although most students write their methodology before carrying out their data collection, the methodology section should be written in the past tense, as if the research has already been completed.

What is the difference between my methodology and my methods?

There are three key aspects of any methodology section that you should aim to address:.

• Methodology: Your choice of methodology will be grounded in a discipline-specific theory about how research should proceed, such as quantitative or qualitative. This overarching decision will help to provide rationale for the specific methods you go on to use.  
• Research Design: An explanation of the approach that you have chosen, and the type of data you will collect. For example, case study or action research? Will the data you collect be quantitative, qualitative or a mix of both?  
• Methods: The concrete research tools used to collect and analyse data: questionnaires, in-person surveys, observations etc.

You may also need to include information on epistemology and your philosophical approach to research. You can find more information on this in our research planning guide.

What should I include in the methodology section?

Research paradigm: What is the underpinning philosophy of your research? How does this align with your research aim and objectives?

Methodology : Qualitative or quantitative? Mixed? What are the advantages of your chosen methodology, and why were the other options discounted?

• Research design : Show how your research design is influenced by other studies in your field and justify your choice of approach.  
• Methods : What methods did you use? Why? Do these naturally fit together or do you need to justify why you have used different methods in combination?  
• Participants/Data Sources: What were your sources/who were your participants? Which sampling approach did you use and why? How were they identified as a suitable group to research, and how were they recruited?  
• Procedure : What did you do to collect your data? Remember, a reader should be able to replicate or adapt your methodology in their own research from the information you provide here.  
• Limitations : What are the general limitations of your chosen method(s)? Don’t be specific here about your project (ie. what you could have done differently), but instead focus on what the literature outlines as the disadvantages of your methods.

Should I reflect on my position as a researcher?

If you feel your position as a researcher has influenced your choice of methods or procedure in any way, the methodology is a good place to reflect on this. Positionality acknowledges that no researcher is entirely objective: we are all, to some extent, influenced by prior learning, experiences, knowledge, and personal biases. This is particularly true in qualitative research or practice-based research, where the student is acting as a researcher in their own workplace, where they are otherwise considered a practitioner/professional.

The following questions can help you to reflect on your positionality and gauge whether this is an important section to include in your dissertation (for some people, this section isn’t necessary or relevant):

• How might my personal history influence how I approach the topic?
• How am I positioned in relation to this knowledge? Am I being influenced by prior learning or knowledge from outside of this course?
• How does my gender/social class/ ethnicity/ culture influence my positioning in relation to this topic?
• Do I share any attributes with my participants? Are we part of a s hared community? How might this have influenced our relationship and my role in interviews/observations?
• Am I invested in the outcomes on a personal level? Who is this research for and who will feel the benefits?

Visit our detailed guides on qualitative and quantitative research for more information.

• Quantitative projects
• Qualitative projects

T he purpose of this section is to report the findings of your study. In quantitative research, the results section usually functions as a statement of your findings without discussion.

Results sections generally begin with descriptive statistics before moving on to further tests such as multiple linear regression, or inferential statistical tests such as ANOVA, and any associated Post-Hoc testing.

Here are some top tips for planning/writing your results section:

• Explain any treatments you have applied to your data.
• Present your findings in a logical order.
• Describe trends in the data/anomalous findings but don’t start to interpret them. Save that for your discussion section.
• Figures and tables are usually the clearest way to present information. It is important to remember to title and label any titles/diagrams to communicate their meaning to the reader and so that you can refer to them again later in the report (e.g. Table 1).
• Remember to be consistent with the rounding of figures. If you start by rounding to 2 decimal places, ensure that you do this for all data you report.
• Avoid repeating any information - if something appears in a table it does not need to appear again in the main body of the text.

Presenting qualitative data

In qualitative studies, your results are often presented alongside the discussion, as it is difficult to include this data in a meaningful way without explanation and interpretation. In the dsicussion section, aim to structure your work thematically, moving through the key concepts or ideas that have emerged from your qualitative data. Use extracts from your data collection - interviews, focus groups, observations - to illustrate where these themes are most prominent, and refer back to the sources from your literature review to help draw conclusions. 

Here's an example of how your data could be presented in paragraph format in this section:

Example from  'Reporting and discussing your findings ', Monash University .

What should I include in the discussion section?

The purpose of the discussion section is to interpret your findings and discuss these against the context of the wider literature. This section should also highlight how your research has contributed to the understanding of a phenomenon or problem: this can be achieved by responding to your research questions.

Though the structure of discussion sections can vary, a relatively common structure is offered below:

• State your major findings – this can be a brief opening paragraph that restates the research problem, the methods you used to attempt to address this, and the major findings of your research.
• Address your research questions - detail your findings in relation to each of your research questions to help demonstrate how you have attempted to address the research problem. Answer each research question in turn by interpreting the relevant results: this may involve highlighting patterns, relationships or statistically significant differences depending on the design of your research and how you analysed your data.
• Discuss your findings against the wider literature - this will involve comparing and contrasting your findings against those of others and using key literature to support the interpretation of your results; often, this will involve revisiting key studies from your literature review and discussing where your findings fit in the pre-existing literature. This process can help to highlight the importance of your research through demonstrating what is novel about your findings and how this contributes to the wider understanding of your research area.
• Address any unexpected findings in your study - begin with by stating the unexpected finding and then offer your interpretation as to why this might have occurred. You may relate unexpected findings to other research literature and you should also consider how any unexpected findings relate to your overall study – especially if you think this is significant in terms of what your findings contribute to the understanding of your research problem!
• Discuss alternative interpretations - it’s important to remember that in research we find evidence to support ideas, theories and understanding; nothing is ever proven. Consequently, you should discuss possible alternative interpretations of your data – not just those that neatly answer your research questions and confirm your hypotheses.
• Limitations/weaknesses of your research – acknowledge any factors that might have affected your findings and discuss how this relates to your interpretation of the data. This might include detailing problems with your data collection method, or unanticipated factors that you had not accounted for in your original research plan. Likewise, detail any questions that your findings could not answer and explain why this was the case.
• Future directions (this part of your discussion could also be included in your conclusion) – this section should address what questions remain unanswered about your research problem. For example, it may be that your findings have answered some questions but raised new ones; this can often occur as a result of unanticipated findings. Likewise, some of the limitations of your research may necessitate further work to address a methodological confound or weakness in a tool of measurement. Whatever these future directions are, remember you’re not writing a proposal for this further research; a brief suggestion of what the research should do and how this would address one of the new problems/limitations you have identified is enough.

Here are some final top tips for writing your discussion section:

• Don’t rewrite your results section – remember your goal is to interpret and explain how your findings address the research problem.
• Be clear about what you have found, how this has addressed a gap in the literature and how it changes our understanding of your research problem.
• Structure your discussion in a logical way that highlights your most important/interesting findings first.
• Be careful about how you interpret your data: be wary over-interpreting to confirm a hypothesis. Remember, we can still learn from non-significant research findings.
• Avoid being apologetic or too critical when discussing the limitations of your research. Be concise and analytical. 

How do I avoid repetition in the conclusion?

The conclusion is your opportunity to synthesise everything you have done/written as part of your research, in order to demonstrate your understanding.

A well-structured conclusion is likely to include the following:

• State your conclusions – in clear language, state the conclusions from your research. Crucially, this not just restating your results/findings: instead, this is a synthesis of the research problem, your research questions, your findings (and interpretation), and the relevant research literature. From your conclusions, it should be clear to your reader how our understanding of the research topic has changed.  
• Discuss wider significance – this is your opportunity to highlight (potential) wider implications of your conclusions. Depending on your discipline, this might include recommendations for policy, professional practice or a tentative speculation about how an academic theory might change given your findings. It is important not to over-generalise here; remember the limitations of your theoretical and methodological choices and what these mean for the applicability of your findings/conclusions. If your discipline encourages reflection, this can be a suitable place to include your thoughts about the research process, the choices you made and how your findings/conclusions might influence your professional outlook/practice going forwards.  
• Take home message – this should be a strong and clear final statement that draws the reader’s focus to the primary message of your study. Whilst it’s important to avoid being overly grandiose, this is your closing argument, and you should remind the reader of what your research has achieved.

Ultimately, your conclusion is your final word about the research problem you have investigated; don’t be afraid of emphasising your contribution to the understanding of that problem. Your conclusion should be clear, succinct and provide a summary of everything that has been learned as a result of your research project. 

What supervisors expect from their dissertation students:

• to determine the focus and direction of the dissertation, particularly in terms of identifying a topic of interest and research question.
• to work independently to explore literature and research in the chosen topic area.
• to be proactive in arranging supervision meetings, email draft work before meetings for feedback and prepare specific questions and issues to discuss in supervision time.
• to be honest and open about any challenges or difficulties that arise during the research or writing process.
• to bring a problem-solving approach to the dissertation (you are not expected to know all the answers but should show initiative in exploring possible solutions to any problems that might arise).

What you can expect from your supervisor:

• to offer guidance on the best way to structure and carry out a successful research project in the timescale for your dissertation, and to help you to set achievable and appropriate research objectives.
• ​ to act as an expert in your discipline and sounding board for your ideas, and to advise you on the literature search and theoretical background for your project.
• to serve as a 'lifeline' and point of support when the dissertation feels challenging.
• to read your drafts and give feedback in supervision meetings.
• to offer practical advice and strategies for managing your time, securing ethics approval, collecting data and common pitfalls to avoid during the research process.

Making the most of your supervision meetings

Meeting your supervisor can feel daunting at first but your supervision meetings offer a great opportunity to discuss your research ideas and get feedback on the direction of your project. Here are our top tips to getting the most out of time with your supervisor:  

• Y ou are in charge of the agenda. If you arrange a meeting with your supervisor, you call the shots! Here are a few tips on how to get the most out of the time with your supervisor.
• Send an email in advance of the meeting , with an overview of the key ideas you want to talk about. This can save time in the meeting and helps to give you some structure to follow. If this isn't possible, run through these points quickly when you first sit down as you introduce the meeting - "I wanted to focus on the literature review today, as I'm having some trouble deciding on the order my key themes and points should be introduced in."
• What do you want to get out of the meeting? Note down any questions you would like the answers to or identify what it is you will need from the meeting in order to make progress on the next stage of your dissertation. Supervision meetings offer the change to talk about your ideas for the project, but they can also be an opportunity to find out practical details and troubleshoot. Don't leave the meeting until you have addressed these and got answers/advice in each key area.
• Trust your supervisor. Your supervisor may not be an expert in your chosen subject, but they will have experience of writing up research projects and coaching other dissertation students. You are responsible for reading up on your subject and exploring the literature - your supervisor can't tell you what to read, but they can give you advice on how to read your sources and integrate them into your argument and writing.
• Choose a short section to discuss in the meeting for feedback - for example, if you're not sure on structure, pick a page or two that demonstrate this, or if you want advice on being critical, find an example from a previous essay where you think you did this well and ask your supervisor how to translate this into dissertation writing.
• Agree an action plan . Work with your supervisor to set a goal for your next meeting, or an objective that you will meet in the week following your supervision. Feeling accountable to someone can be a great motivator and also helps you to recognise where you are starting to fall behind the targets that you've set for yourself.
• Be open and honest . It can feel daunting meeting your supervisor, but supervision meetings aren't an interview where you have to prove everything is going well. Ask for help and advice where you need it, and be honest if you're finding things difficult. A supervisor is there to support you and help you to develop the skills and knowledge you need along the journey to submitting your dissertation.
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• Last Updated: Jun 20, 2024 7:55 PM
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How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

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Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications . If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

You Might Also Like:

Can you help me with a full paper template for this Abstract:

Background: Energy and sports drinks have gained popularity among diverse demographic groups, including adolescents, athletes, workers, and college students. While often used interchangeably, these beverages serve distinct purposes, with energy drinks aiming to boost energy and cognitive performance, and sports drinks designed to prevent dehydration and replenish electrolytes and carbohydrates lost during physical exertion.

Objective: To assess the nutritional quality of energy and sports drinks in Egypt.

Material and Methods: A cross-sectional study assessed the nutrient contents, including energy, sugar, electrolytes, vitamins, and caffeine, of sports and energy drinks available in major supermarkets in Cairo, Alexandria, and Giza, Egypt. Data collection involved photographing all relevant product labels and recording nutritional information. Descriptive statistics and appropriate statistical tests were employed to analyze and compare the nutritional values of energy and sports drinks.

Results: The study analyzed 38 sports drinks and 42 energy drinks. Sports drinks were significantly more expensive than energy drinks, with higher net content and elevated magnesium, potassium, and vitamin C. Energy drinks contained higher concentrations of caffeine, sugars, and vitamins B2, B3, and B6.

Conclusion: Significant nutritional differences exist between sports and energy drinks, reflecting their intended uses. However, these beverages’ high sugar content and calorie loads raise health concerns. Proper labeling, public awareness, and responsible marketing are essential to guide safe consumption practices in Egypt.

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So now that you’ve completed the research project, what do you do? I know you won’t want to hear this, but your work is still far from done. In fact, this final stage – writing up your research – may be one of the most difficult. Developing a good, effective and concise report is an art form in itself. And, in many research projects you will need to write multiple reports that present the results at different levels of detail for different audiences.

There are several general considerations to keep in mind when generating a report:

Formatting Considerations

Are you writing a research report that you will submit for publication in a journal? If so, you should be aware that every journal requires articles that you follow specific formatting guidelines. Thinking of writing a book. Again, every publisher will require specific formatting. Writing a term paper? Most faculty will require that you follow specific guidelines. Doing your thesis or dissertation? Every university I know of has very strict policies about formatting and style. There are legendary stories that circulate among graduate students about the dissertation that was rejected because the page margins were a quarter inch off or the figures weren’t labeled correctly.

To illustrate what a set of research report specifications might include, I present in this section general guidelines for the formatting of a research write-up for a class term paper. These guidelines are very similar to the types of specifications you might be required to follow for a journal article. However, you need to check the specific formatting guidelines for the report you are writing – the ones presented here are likely to differ in some ways from any other guidelines that may be required in other contexts.

I’ve also included a sample research paper write-up that illustrates these guidelines. This sample paper is for a “make-believe” research project. But it illustrates how a final research report might look using the guidelines given here.

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• Knowledge Base
• Dissertation
• How to Write a Results Section | Tips & Examples

How to Write a Results Section | Tips & Examples

Published on August 30, 2022 by Tegan George . Revised on July 18, 2023.

A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation . You should report all relevant results concisely and objectively, in a logical order. Don’t include subjective interpretations of why you found these results or what they mean—any evaluation should be saved for the discussion section .

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Table of contents

How to write a results section, reporting quantitative research results, reporting qualitative research results, results vs. discussion vs. conclusion, checklist: research results, other interesting articles, frequently asked questions about results sections.

When conducting research, it’s important to report the results of your study prior to discussing your interpretations of it. This gives your reader a clear idea of exactly what you found and keeps the data itself separate from your subjective analysis.

Here are a few best practices:

• Your results should always be written in the past tense.
• While the length of this section depends on how much data you collected and analyzed, it should be written as concisely as possible.
• Only include results that are directly relevant to answering your research questions . Avoid speculative or interpretative words like “appears” or “implies.”
• If you have other results you’d like to include, consider adding them to an appendix or footnotes.
• Always start out with your broadest results first, and then flow into your more granular (but still relevant) ones. Think of it like a shoe store: first discuss the shoes as a whole, then the sneakers, boots, sandals, etc.

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If you conducted quantitative research , you’ll likely be working with the results of some sort of statistical analysis .

Your results section should report the results of any statistical tests you used to compare groups or assess relationships between variables . It should also state whether or not each hypothesis was supported.

The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, share:

• A reminder of the type of analysis you used (e.g., a two-sample t test or simple linear regression ). A more detailed description of your analysis should go in your methodology section.
• A concise summary of each relevant result, both positive and negative. This can include any relevant descriptive statistics (e.g., means and standard deviations ) as well as inferential statistics (e.g., t scores, degrees of freedom , and p values ). Remember, these numbers are often placed in parentheses.
• A brief statement of how each result relates to the question, or whether the hypothesis was supported. You can briefly mention any results that didn’t fit with your expectations and assumptions, but save any speculation on their meaning or consequences for your discussion  and conclusion.

A note on tables and figures

In quantitative research, it’s often helpful to include visual elements such as graphs, charts, and tables , but only if they are directly relevant to your results. Give these elements clear, descriptive titles and labels so that your reader can easily understand what is being shown. If you want to include any other visual elements that are more tangential in nature, consider adding a figure and table list .

As a rule of thumb:

• Tables are used to communicate exact values, giving a concise overview of various results
• Graphs and charts are used to visualize trends and relationships, giving an at-a-glance illustration of key findings

Don’t forget to also mention any tables and figures you used within the text of your results section. Summarize or elaborate on specific aspects you think your reader should know about rather than merely restating the same numbers already shown.

A two-sample t test was used to test the hypothesis that higher social distance from environmental problems would reduce the intent to donate to environmental organizations, with donation intention (recorded as a score from 1 to 10) as the outcome variable and social distance (categorized as either a low or high level of social distance) as the predictor variable.Social distance was found to be positively correlated with donation intention, t (98) = 12.19, p < .001, with the donation intention of the high social distance group 0.28 points higher, on average, than the low social distance group (see figure 1). This contradicts the initial hypothesis that social distance would decrease donation intention, and in fact suggests a small effect in the opposite direction.

Figure 1: Intention to donate to environmental organizations based on social distance from impact of environmental damage.

In qualitative research , your results might not all be directly related to specific hypotheses. In this case, you can structure your results section around key themes or topics that emerged from your analysis of the data.

For each theme, start with general observations about what the data showed. You can mention:

• Recurring points of agreement or disagreement
• Patterns and trends
• Particularly significant snippets from individual responses

Next, clarify and support these points with direct quotations. Be sure to report any relevant demographic information about participants. Further information (such as full transcripts , if appropriate) can be included in an appendix .

When asked about video games as a form of art, the respondents tended to believe that video games themselves are not an art form, but agreed that creativity is involved in their production. The criteria used to identify artistic video games included design, story, music, and creative teams.One respondent (male, 24) noted a difference in creativity between popular video game genres:

“I think that in role-playing games, there’s more attention to character design, to world design, because the whole story is important and more attention is paid to certain game elements […] so that perhaps you do need bigger teams of creative experts than in an average shooter or something.”

Responses suggest that video game consumers consider some types of games to have more artistic potential than others.

Your results section should objectively report your findings, presenting only brief observations in relation to each question, hypothesis, or theme.

It should not  speculate about the meaning of the results or attempt to answer your main research question . Detailed interpretation of your results is more suitable for your discussion section , while synthesis of your results into an overall answer to your main research question is best left for your conclusion .

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I have completed my data collection and analyzed the results.

I have included all results that are relevant to my research questions.

I have concisely and objectively reported each result, including relevant descriptive statistics and inferential statistics .

I have stated whether each hypothesis was supported or refuted.

I have used tables and figures to illustrate my results where appropriate.

All tables and figures are correctly labelled and referred to in the text.

There is no subjective interpretation or speculation on the meaning of the results.

You've finished writing up your results! Use the other checklists to further improve your thesis.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research , for each question or hypothesis , state:

• The type of analysis used
• Relevant results in the form of descriptive and inferential statistics
• Whether or not the alternative hypothesis was supported

In qualitative research , for each question or theme, describe:

• Recurring patterns
• Significant or representative individual responses
• Relevant quotations from the data

Don’t interpret or speculate in the results chapter.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

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• USC Libraries
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Organizing Your Social Sciences Research Paper

• 7. The Results
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
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• Qualitative Methods
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• Insiderness
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The results section is where you report the findings of your study based upon the methodology [or methodologies] you applied to gather information. The results section should state the findings of the research arranged in a logical sequence without bias or interpretation. A section describing results should be particularly detailed if your paper includes data generated from your own research.

Annesley, Thomas M. "Show Your Cards: The Results Section and the Poker Game." Clinical Chemistry 56 (July 2010): 1066-1070.

Importance of a Good Results Section

When formulating the results section, it's important to remember that the results of a study do not prove anything . Findings can only confirm or reject the hypothesis underpinning your study. However, the act of articulating the results helps you to understand the problem from within, to break it into pieces, and to view the research problem from various perspectives.

The page length of this section is set by the amount and types of data to be reported . Be concise. Use non-textual elements appropriately, such as figures and tables, to present findings more effectively. In deciding what data to describe in your results section, you must clearly distinguish information that would normally be included in a research paper from any raw data or other content that could be included as an appendix. In general, raw data that has not been summarized should not be included in the main text of your paper unless requested to do so by your professor.

Avoid providing data that is not critical to answering the research question . The background information you described in the introduction section should provide the reader with any additional context or explanation needed to understand the results. A good strategy is to always re-read the background section of your paper after you have written up your results to ensure that the reader has enough context to understand the results [and, later, how you interpreted the results in the discussion section of your paper that follows].

Bavdekar, Sandeep B. and Sneha Chandak. "Results: Unraveling the Findings." Journal of the Association of Physicians of India 63 (September 2015): 44-46; Brett, Paul. "A Genre Analysis of the Results Section of Sociology Articles." English for Specific Speakers 13 (1994): 47-59; Go to English for Specific Purposes on ScienceDirect;Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008; Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Kretchmer, Paul. Twelve Steps to Writing an Effective Results Section. San Francisco Edit; "Reporting Findings." In Making Sense of Social Research Malcolm Williams, editor. (London;: SAGE Publications, 2003) pp. 188-207.

Structure and Writing Style

I.  Organization and Approach

For most research papers in the social and behavioral sciences, there are two possible ways of organizing the results . Both approaches are appropriate in how you report your findings, but use only one approach.

• Present a synopsis of the results followed by an explanation of key findings . This approach can be used to highlight important findings. For example, you may have noticed an unusual correlation between two variables during the analysis of your findings. It is appropriate to highlight this finding in the results section. However, speculating as to why this correlation exists and offering a hypothesis about what may be happening belongs in the discussion section of your paper.
• Present a result and then explain it, before presenting the next result then explaining it, and so on, then end with an overall synopsis . This is the preferred approach if you have multiple results of equal significance. It is more common in longer papers because it helps the reader to better understand each finding. In this model, it is helpful to provide a brief conclusion that ties each of the findings together and provides a narrative bridge to the discussion section of the your paper.

NOTE:   Just as the literature review should be arranged under conceptual categories rather than systematically describing each source, you should also organize your findings under key themes related to addressing the research problem. This can be done under either format noted above [i.e., a thorough explanation of the key results or a sequential, thematic description and explanation of each finding].

II.  Content

In general, the content of your results section should include the following:

• Introductory context for understanding the results by restating the research problem underpinning your study . This is useful in re-orientating the reader's focus back to the research problem after having read a review of the literature and your explanation of the methods used for gathering and analyzing information.
• Inclusion of non-textual elements, such as, figures, charts, photos, maps, tables, etc. to further illustrate key findings, if appropriate . Rather than relying entirely on descriptive text, consider how your findings can be presented visually. This is a helpful way of condensing a lot of data into one place that can then be referred to in the text. Consider referring to appendices if there is a lot of non-textual elements.
• A systematic description of your results, highlighting for the reader observations that are most relevant to the topic under investigation . Not all results that emerge from the methodology used to gather information may be related to answering the " So What? " question. Do not confuse observations with interpretations; observations in this context refers to highlighting important findings you discovered through a process of reviewing prior literature and gathering data.
• The page length of your results section is guided by the amount and types of data to be reported . However, focus on findings that are important and related to addressing the research problem. It is not uncommon to have unanticipated results that are not relevant to answering the research question. This is not to say that you don't acknowledge tangential findings and, in fact, can be referred to as areas for further research in the conclusion of your paper. However, spending time in the results section describing tangential findings clutters your overall results section and distracts the reader.
• A short paragraph that concludes the results section by synthesizing the key findings of the study . Highlight the most important findings you want readers to remember as they transition into the discussion section. This is particularly important if, for example, there are many results to report, the findings are complicated or unanticipated, or they are impactful or actionable in some way [i.e., able to be pursued in a feasible way applied to practice].

NOTE:   Always use the past tense when referring to your study's findings. Reference to findings should always be described as having already happened because the method used to gather the information has been completed.

III.  Problems to Avoid

When writing the results section, avoid doing the following :

• Discussing or interpreting your results . Save this for the discussion section of your paper, although where appropriate, you should compare or contrast specific results to those found in other studies [e.g., "Similar to the work of Smith [1990], one of the findings of this study is the strong correlation between motivation and academic achievement...."].
• Reporting background information or attempting to explain your findings. This should have been done in your introduction section, but don't panic! Often the results of a study point to the need for additional background information or to explain the topic further, so don't think you did something wrong. Writing up research is rarely a linear process. Always revise your introduction as needed.
• Ignoring negative results . A negative result generally refers to a finding that does not support the underlying assumptions of your study. Do not ignore them. Document these findings and then state in your discussion section why you believe a negative result emerged from your study. Note that negative results, and how you handle them, can give you an opportunity to write a more engaging discussion section, therefore, don't be hesitant to highlight them.
• Including raw data or intermediate calculations . Ask your professor if you need to include any raw data generated by your study, such as transcripts from interviews or data files. If raw data is to be included, place it in an appendix or set of appendices that are referred to in the text.
• Be as factual and concise as possible in reporting your findings . Do not use phrases that are vague or non-specific, such as, "appeared to be greater than other variables..." or "demonstrates promising trends that...." Subjective modifiers should be explained in the discussion section of the paper [i.e., why did one variable appear greater? Or, how does the finding demonstrate a promising trend?].
• Presenting the same data or repeating the same information more than once . If you want to highlight a particular finding, it is appropriate to do so in the results section. However, you should emphasize its significance in relation to addressing the research problem in the discussion section. Do not repeat it in your results section because you can do that in the conclusion of your paper.
• Confusing figures with tables . Be sure to properly label any non-textual elements in your paper. Don't call a chart an illustration or a figure a table. If you are not sure, go here .

Annesley, Thomas M. "Show Your Cards: The Results Section and the Poker Game." Clinical Chemistry 56 (July 2010): 1066-1070; Bavdekar, Sandeep B. and Sneha Chandak. "Results: Unraveling the Findings." Journal of the Association of Physicians of India 63 (September 2015): 44-46; Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008;  Caprette, David R. Writing Research Papers. Experimental Biosciences Resources. Rice University; Hancock, Dawson R. and Bob Algozzine. Doing Case Study Research: A Practical Guide for Beginning Researchers . 2nd ed. New York: Teachers College Press, 2011; Introduction to Nursing Research: Reporting Research Findings. Nursing Research: Open Access Nursing Research and Review Articles. (January 4, 2012); Kretchmer, Paul. Twelve Steps to Writing an Effective Results Section. San Francisco Edit ; Ng, K. H. and W. C. Peh. "Writing the Results." Singapore Medical Journal 49 (2008): 967-968; Reporting Research Findings. Wilder Research, in partnership with the Minnesota Department of Human Services. (February 2009); Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Schafer, Mickey S. Writing the Results. Thesis Writing in the Sciences. Course Syllabus. University of Florida.

Writing Tip

Why Don't I Just Combine the Results Section with the Discussion Section?

It's not unusual to find articles in scholarly social science journals where the author(s) have combined a description of the findings with a discussion about their significance and implications. You could do this. However, if you are inexperienced writing research papers, consider creating two distinct sections for each section in your paper as a way to better organize your thoughts and, by extension, your paper. Think of the results section as the place where you report what your study found; think of the discussion section as the place where you interpret the information and answer the "So What?" question. As you become more skilled writing research papers, you can consider melding the results of your study with a discussion of its implications.

Driscoll, Dana Lynn and Aleksandra Kasztalska. Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University.

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• URL: https://libguides.usc.edu/writingguide

• UNC Libraries
• HSL Subject Research
• Qualitative Research Resources
• Writing Up Your Research

Qualitative Research Resources: Writing Up Your Research

Created by health science librarians.

• What is Qualitative Research?
• Qualitative Research Basics
• Special Topics
• Training Opportunities: UNC & Beyond
• Help at UNC
• Qualitative Software for Coding/Analysis
• Software for Audio, Video, Online Surveys
• Finding Qualitative Studies
• Assessing Qualitative Research

About this Page

Writing conventions for qualitative research, sample size/sampling:.

• Integrating Qualitative Research into Systematic Reviews
• Publishing Qualitative Research
• Presenting Qualitative Research
• Qualitative & Libraries: a few gems
• Data Repositories

Why is this information important?

• The conventions of good writing and research reporting are different for qualitative and quantitative research.
• Your article will be more likely to be published if you make sure you follow appropriate conventions in your writing.

On this page you will find the following helpful resources:

• Articles with information on what journal editors look for in qualitative research articles.
• Articles and books on the craft of collating qualitative data into a research article.

These articles provide tips on what journal editors look for when they read qualitative research papers for potential publication.  Also see Assessing Qualitative Research tab in this guide for additional information that may be helpful to authors.

Belgrave, L., D. Zablotsky and M.A. Guadagno.(2002). How do we talk to each other? Writing qualitative research for quantitative readers . Qualitative Health Research , 12(10),1427-1439.

Hunt, Brandon. (2011) Publishing Qualitative Research in Counseling Journals . Journal of Counseling and Development 89(3):296-300.

Fetters, Michael and Dawn Freshwater. (2015). Publishing a Methodological Mixed Methods Research Article. Journal of Mixed Methods Research 9(3): 203-213.

Koch, Lynn C., Tricia Niesz, and Henry McCarthy. (2014). Understanding and Reporting Qualitative Research: An Analytic Review and Recommendations for Submitting Authors. Rehabilitation Counseling Bulletin 57(3):131-143.

Morrow, Susan L. (2005) Quality and Trustworthiness in Qualitative Research in Counseling Psychology ; Journal of Counseling Psychology 52(2):250-260.

Oliver, Deborah P. (2011) "Rigor in Qualitative Research." Research on Aging 33(4): 359-360.

Sandelowski, M., & Leeman, J. (2012). Writing usable qualitative health research findings . Qual Health Res, 22(10), 1404-1413.

Schoenberg, Nancy E., Miller, Edward A., and Pruchno, Rachel. (2011) The qualitative portfolio at The Gerontologist : strong and getting stronger. Gerontologist 51(3): 281-284.

Weaver-Hightower, M. B. (2019). How to write qualitative research . [e-book]

Sidhu, Kalwant, Roger Jones, and Fiona Stevenson (2017). Publishing qualitative research in medical journals. Br J Gen Pract ; 67 (658): 229-230. DOI: 10.3399/bjgp17X690821 PMID: 28450340

• This article is based on a workshop on publishing qualitative studies held at the Society for Academic Primary Care Annual Conference, Dublin, July 2016.

Smith, Mary Lee.(1987) Publishing Qualitative Research. American Educational Research Journal 24(2): 173-183.

Tong, Allison, Sainsbury, Peter, Craig, Jonathan ; Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups , International Journal for Quality in Health Care , Volume 19, Issue 6, 1 December 2007, Pages 349–357, https://doi.org/10.1093/intqhc/mzm042 .

Tracy, Sarah. (2010) Qualitative Quality: Eight 'Big-Tent' Criteria for Excellent Qualitative Research. Qualitative Inquiry 16(10):837-51.

Because reviewers are not always familiar with qualitative methods, they may ask for explanation or justification of your methods when you submit an article. Because different disciplines,different qualitative methods, and different contexts may dictate different approaches to this issue, you may want to consult articles in your field and in target journals for publication.  Additionally, here are some articles that may be helpful in thinking about this issue. 

Bonde, Donna. (2013). Qualitative Interviews: When Enough is Enough . Research by Design.

Guest, Greg, Arwen Bunce, and Laura Johnson. (2006) How Many Interviews are Enough?: An Experiment with Data Saturation and Variability. Field Methods 18(1): 59-82.

Morse, Janice M. (2015) "Data Were Saturated..." Qualitative Health Research 25(5): 587-88 . doi:10.1177/1049732315576699.

Nelson, J. (2016) "Using Conceptual Depth Criteria: Addressing the Challenge of Reaching Saturation in Qualitative Research." Qualitative Research, December. doi:10.1177/1468794116679873.

Patton, Michael Quinn. (2015) "Chapter 5: Designing Qualitative Studies, Module 30 Purposeful Sampling and Case Selection. In Qualitative Research & Evaluation Methods: Integrating Theory and Practice, Fourth edition, pp. 264-72. Thousand Oaks, California: SAGE Publications, Inc. ISBN: 978-1-4129-7212-3

Small, Mario Luis. (2009) 'How Many Cases Do I Need?': On Science and the Logic of Case-Based Selection in Field-Based Research. Ethnography 10(1): 538.

Search the UNC-CH catalog for books about qualitative writing . Selected general books from the catalog are listed below. If you are a researcher at another institution, ask your librarian for assistance locating similar books in your institution's catalog or ordering them via InterLibrary Loan.  

Oft quoted and food for thought

• Morse, J. M. (1997). " Perfectly healthy, but dead": the myth of inter-rater reliability. DOI:10.1177/104973239700700401 Editorial
• Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., ... & Carlsson, R. (2018). Many analysts, one data set: Making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychologi
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• Next: Integrating Qualitative Research into Systematic Reviews >>
• Last Updated: May 14, 2024 12:50 PM
• URL: https://guides.lib.unc.edu/qual

Purdue Online Writing Lab Purdue OWL® College of Liberal Arts

Writing a Research Paper

Welcome to the Purdue OWL

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Copyright ©1995-2018 by The Writing Lab & The OWL at Purdue and Purdue University. All rights reserved. This material may not be published, reproduced, broadcast, rewritten, or redistributed without permission. Use of this site constitutes acceptance of our terms and conditions of fair use.

The Research Paper

There will come a time in most students' careers when they are assigned a research paper. Such an assignment often creates a great deal of unneeded anxiety in the student, which may result in procrastination and a feeling of confusion and inadequacy. This anxiety frequently stems from the fact that many students are unfamiliar and inexperienced with this genre of writing. Never fear—inexperience and unfamiliarity are situations you can change through practice! Writing a research paper is an essential aspect of academics and should not be avoided on account of one's anxiety. In fact, the process of writing a research paper can be one of the more rewarding experiences one may encounter in academics. What is more, many students will continue to do research throughout their careers, which is one of the reasons this topic is so important.

Becoming an experienced researcher and writer in any field or discipline takes a great deal of practice. There are few individuals for whom this process comes naturally. Remember, even the most seasoned academic veterans have had to learn how to write a research paper at some point in their career. Therefore, with diligence, organization, practice, a willingness to learn (and to make mistakes!), and, perhaps most important of all, patience, students will find that they can achieve great things through their research and writing.

The pages in this section cover the following topic areas related to the process of writing a research paper:

• Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper.
• Choosing a Topic - This section will guide the student through the process of choosing topics, whether the topic be one that is assigned or one that the student chooses themselves.
• Identifying an Audience - This section will help the student understand the often times confusing topic of audience by offering some basic guidelines for the process.
• Where Do I Begin - This section concludes the handout by offering several links to resources at Purdue, and also provides an overview of the final stages of writing a research paper.

Writing up qualitative research

There are specific challenges to writing up research based on qualitative data: there is a lot of data to present, complex stories to tell and conclusions that took a long time to develop. But some simple guidelines can help structuring any kind of research output

Daniel Turner

There are specific challenges to writing up research based on qualitative data: there is a lot of data to present, complex stories to tell and conclusions that took a long time to develop. But some simple guidelines can help structuring any kind of research output based on qualitative methods, and help communicate the rich results that come from qualitative data.

There’s a very general statement whenever you are writing or speaking – consider your audience. Who is likely to read your research output? Usually, you would have several from a project, such as a summary for the participants or special interest groups, a research paper for the scientific community (and the journal reviewers) and a thesis which is written to demonstrate knowledge and research skills for an examining panel. Understanding who you are writing for should dictate much of the specifics below, especially how much you need to write to explain certain aspects. Will your readers understand qualitative methodologies? A challenge is often writing for reviewers (or supervisors) who don’t have a qualitative background and don’t understand the methods and small sampling approaches in qualitative research.

This guide is designed to be general enough to apply to a research article or thesis chapter, but note that each will have it’s own specific guidelines for structure and content that should be applied. Some research journals have very specific structures and formatting guidelines to follow, where others allow for more flexibility. Regardless, the key points below should give a general overview of ‘best practice’ in writing up qualitative research.

Theory and Methodology

If you are coming from quantitative disciplines, this is the first section that seems unusual when writing up a research project. Although not explicit, all research has a epistemological and theoretical background and set of assumptions that guide the collection methods and interpretation. However, qualitative research has a strong tradition of making those explicit and justified. The researcher(s) should state their philosophical beliefs on knowledge that have shaped the project.

Describing the epistemology in detail would entail writing about how the researchers see the notion of ‘truth’, positivity, and how much can be understood in the world. Usually this need go no further than adopt one an existing critique or interpretation, such as feminist research methods, or post-positivism. But it should also explain why the qualitative approach was appropriate for this research question, and thus what the appropriate methodology was.

While often connected most clearly to method, the methodology should also touch on the approach selected for analysis and interpretation, noting that adopting something common like grounded theory actually implies a whole series of theoretical and epistemological underpinnings. In a journal article, this will be short: typically only a few sentences, unless the paper is adopting or proposing a new or unusual take on some theoretical stance. But in a qualitative-based thesis, this could well be a chapter in it’s own right.

Finally, researchers should consider some sort of engagement with ‘reflexivity’ and explaining the role and influence of the researcher on the research project. I’ve got a whole article on this , but being open and explicit about the fact that research is not ‘value-free’ and that the background and positionality of the researcher influences the project is usually a key principle in qualitative research.

Methods and analysis

Qualitative methodologies have great variety in the type of methods that can be used, and subtleties as to how they are applied. Therefore it is probably more important to describe the method in detail than in quantitative based research projects, which often have very standard formula for applying tools and measurements. It’s rarely enough to say ‘We interviewed’ or ‘We ran focus groups ’ as these common methods can be applied in many different ways. So specify not just whether you used semi-structured or unstructured interviews, but consider describing the settings, interview guides, and any underlining theoretical or methodological stances.

As a reviewer, I also like to see details of both the sampling and recruitment categories – and as I’ve written before, I think these are distinct and important things. When using the small sample sizes that are hallmarks of most qualitative research, it is especially important to know who these people are, where they are from and how they were selected. Although we might get details about individual respondents lives and backgrounds later, its still important to give an overview of the people who make up the data – just remember it’s not always necessary to reduce these to statistical averages, such as the percentage of people in each age range.

It’s also very important to give a good level of detail about the analytical approach. I’ve written a LOT about this, but suffice it to say that just saying ‘We used grounded theory ’ or ‘We applied thematic analysis ’ is rarely specific enough – again due to the many different ways these terms are interpreted and enacted. Usually the qualitative analysis process is exploratory, non-linear and fraught with missteps and overlapping approaches, so is worthy of more detail. As qualitative research relies so much on the interpretation of the researcher, authors deserve some insight into the analytic process. If using coding, a list of codes, or illustration of some of the main ones can be insightful, even in an appendix.

Another pet hate or mine is papers that just refer to any qualitative analysis software as ‘We analysed the results in Quirkos/Nvivo’. Again, this tells the reader no more useful information than saying ‘We wrote the results using a blue pen’ – it’s not the tool, but how is is applied that affects and defines the analytic approach!

Quoting Data

In the results, findings and discussion sections, a lot of outputs based on qualitative research include extracts from the qualitative data: often from the transcripts from interviews, focus groups , diaries etc. Including quotes like this is a key feature in qualitative research outputs, they give the reader a chance to hear the participants in their own words, giving some validation of the researcher’s own interpretations. They also are effective at illustrating key points in the data and moving on the flow, and providing a framing device for discussing findings. Qualitative software like Quirkos can also help greatly at this stage, helping you keep track of quotes on particular topics, or organised by key quotes so you can quickly find them. However, there is the challenge of the ‘wall of text’.

There is a risk of the paper or chapter becoming over-run with quotations, which coming from different participants with different perspectives can become overwhelming for the reader. In general quotes should be used sparingly, for illustrative snapshots, or colourful instances where the quote says something better than the researcher can. In general, quotes from transcripts won’t be as short and generalisable as a sentence from the writer.

There’s also a temptation to use a quote to prove every conclusion or statement that the author wants to make, in the same way you would have a reference to back up each statement made in a literature review or introduction. But this is rarely necessary, as it will also break the flow of the writing and lead to issues with space and length. The writer should use just enough quotes to establish trust from the reader of their interpretations, saving quotes for when the author is making an important or surprising finding.

There is also the possibility of using two different types of quotes: short in-text quips, and longer multiple-sentence extractions. Shorter quotes are best for using just a few words, or a sentence at most that fits within the discussion. For example, one person may comment, ‘Time is always precious when you have children’. Here it’s not always necessary to attribute the quote to a particular individual (unless what they say is particular to their identity or case).

Longer quotes break the flow of the text, and should usually be formatted as an indented paragraph. These should almost always have a separate line after the quote giving the participant’s number, pseudonym and any relevant information about them, for example age, location or gender if it is relevant to understanding the context of the quote. Usually these should be kept as short as necessary, using … to truncate any sections of the quote that are not relevant. They also need to make sense alone, so any references to ‘it’ or ‘them’ or ‘that’ which are not obvious in the extract should be replaced with a definition in square brackets, for example [my feelings], [my husband] or [my car].

This is even true of other data types, especially pictures. Although most research products like journal articles and theses unfortunately make it very difficult to include audio and video extracts, pictures are possible. Yet these also break the flow of text, and take up a lot of space. They should also be used sparingly, and be well integrated and illustrative of the argument being made.

There can also be additional confidentiality considerations including any multimedia extracts. Text quotations automatically remove the audible voice and face of participants, but this might have to be done manually for participants. Permission to share photos, especially those showing faces and other sensitive or personal situations should also be explicitly sought, ideally for each type of output that might be produced.

Finally, quotes can’t do everything, many important aspects of subtext, and the unspoken (whether non-verbal, or not willing to share) are important context to give the reader. It’s up to the writer to connect the dots, be the expert that was part of the whole process and summarise a huge amount of rich qualitative data into a coherent story.

Discussion and other considerations

Latterly, any output needs to summarise the data and process, and refer back to the research questions and the wider literature. There will often be new questions posed by the data, as well as any conclusions from the data. Finally, consider being honest about what went wrong in the project – either in the data collection stage, or the analysis when theories and assumptions were challenged and changed.

Remember, just as good qualitative research has a story at it’s centre, the same should be true of communicating the findings. Partly it’s a story of the research project (and the role of the researchers in it), but also the story of the respondents – their own journey, experiences and lives. That is why creating a single story that encapsulates a common and differing tales across many participants can be a challenge.

Quirkos is a unique tool for qualitative analysis that helps you explore, manage and discover stories in your qualitative data. We designed it to help us write up our own qualitative data easier and better, and you can try yourself for free right here ! There’s no registration needed for the offline version, and the cloud subscription service lets researchers, work, collaborate and share project data with ease.

Sign up for more like this.

• DOI: 10.2307/3587381
• Corpus ID: 143856305

Writing Up Research: Experimental Research Report Writing for Students of English

• S. Buker , Robert C. Weissberg
• Published 1 February 1990
• Education, Agricultural and Food Sciences, Computer Science

232 Citations

Basic english writing: a classroom experiment in student-oriented design and textbook.

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Developing an Instructional Model to Teach Thai Research Assistants to Write English Scientific Research Articles

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EFL Academic writing. What should Dutch business communication students learn

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The tenth year of English: Review of a project concerning second language learning at university level

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31 Writing Up Qualitative Research

Jane F. Gilgun, School of Social Work, University of Minnesota, Twin Cities

• Published: 04 August 2014
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This chapter provides guidelines for writing journal articles based on qualitative approaches. The guidelines are part of the tradition of the Chicago School of Sociology and the author’s experience as a writer and reviewer. The guidelines include understanding experiences in context, immersion, interpretations grounded in accounts of informants’ lived experiences, and research as action-oriented. The chapter also covers writing articles that report findings based on ethnographies, autoethnographies, performances, poetry, and photography and other graphic media.

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Postgraduate students, write your research up with ease!

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More From Forbes

7 chatgpt prompts to improve your writing.

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Photo by NICOLAS MAETERLINCK/BELGA MAG/AFP via Getty Images

On writing , author David Sedaris once said, “You need to do the best that you can do, and then you need to take the best that you can do and you need to rewrite it, and rewrite it, and rewrite it.” That’s the dynamic essence of the writing process. Writers refine their drafts, just like they continually refine their craft. I didn’t study writing or literature, so I was intimidated when I began contributing to major publications. But my confidence grew with each byline, and I began to find my voice.

While ChatGPT can be an impressive imitator, it can never generate your unique voice and perspective. It can, however, be a powerful tool for improving your writing, whether you’re penning business articles or important emails. It all starts with the right prompts.

Here are seven that you can use to level up your writing skills.

Automate Your Busywork

There are no shortcuts to becoming a better writer. The prolific author Stephen King once said, “If you want to be a writer, you must do two things above all others: read a lot and write a lot.” That said, you can use AI tools to eliminate some of the tedious tasks involved in writing and leave more time for honing your craft. Here are some prompts to delegate your writing “busywork” to ChatGPT.

1. Generating Ideas And Topics

AI shouldn’t do your writing for you. It lacks the necessary human context and isn’t immune to errors. But it can be a powerful writing partner. As Wharton professor Christian Terwiesch (who challenged ChatGPT to come up with product ideas and compared those ideas to student ideas —ChatGPT won), has said , “Everybody should be using ChatGPT to help them generate ideas.” At worst, you reject all of them. At best, you enrich your pool of ideas.

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Here is a prompt you can use to help get the idea wheels turning:

"I'm an [role/title] writing for [outlet description] targeting [target audience]. Can you suggest some fresh and engaging topics that would appeal to this audience?"

If you’d like ideas related to a certain topic or tailored to a specific style (e.g., a “hot take” versus a personal essay), remember: the more context you provide, the more concise the results.

2. Editing For Grammar And Style

Whether you’re sending an email or publishing an article on a high-traffic website, typos are an embarrassing—and avoidable—faux pas. In today’s world, where internet content exists in perpetuity, anything attached to your name should be error-free. ChatGPT can be a near-instantaneous proofreader. Test out the following prompt:

"Can you proofread this [content] for grammar, punctuation, and style consistency? The intended audience is [audience/recipient]. Please provide a list of any suggested improvements.”

3. Hitting The Right Tone

Spelling and grammar are a crucial part of editing, but they’re relatively objective. Perfecting the tone is more subjective and sometimes more challenging—but just as crucial.

The proper tone can ensure that your text is engaging. It can foster trust and understanding with colleagues and business partners. It can persuade your audience to get on board with your viewpoint. Writing that misses the mark on tone, however, can cause misunderstandings, hurt feelings, damage your credibility, and lose your reader’s interest.

With that in mind, here’s a prompt that can help you achieve the right tone in your writing:

"Can you help me rewrite this [content] for [audience], ensuring it maintains a [describe the desired tone]?

Add context to make ChatGPT’s reply more helpful. For example, if your content should show sensitivity to a certain issue or audience, add it to the prompt.

4. Adding Data And Research

One lesson I’ve learned from contributing to Forbes and other widely-read publications is that my word alone is rarely enough. I can share my personal experiences, but research and data can strengthen any piece of writing.

Instead of researching the traditional way—reviewing your writing and identifying facts that need outside sourcing, then Googling for relevant insight—ChatGPT can speed up the process, leaving you more time to polish those personal anecdotes. Try this prompt:

"I’m writing [describe the content and subject matter] for [target audience] and want to include relevant data and research. Can you review the following text and provide researched-backed statistics and insights on this topic?"

Importantly, always check the sources that ChatGPT generates. It will almost certainly come up with helpful results but they’re not always accurate—that’s where you, human editor, come into play.

Refine Your Craft

To continually improve your writing skills, you can take a page from the habits of professional writers. The following prompts can help you develop practices to become a stronger writer.

5. Daily Writing Prompts

I’ve written before about my morning pages . It’s a great way to clear my head before the day begins and to practice fluidly translating my thoughts into words on paper. If a blank page feels intimidating, writing prompts are a great way to get started. ChatGPT can generate writing prompts in an instant. You can keep it general:

“Can you suggest a couple of writing prompts that I can use to practice the craft of writing?”

Or, if you have a goal in mind, add more context. For example:

“I'm trying to improve engagement with my readers. Can you generate a couple of writing prompts to practice writing engaging content?”

6. Experiment With Different Styles And Voices

If you call your grandmother on the telephone, I’d bet your voice and speaking style sound vastly different from when you’re chatting with your best friend. Writing is the same.

ChatGPT can help you practice toggling between different styles and voices, and in doing so, help you find yours. You can ask ChatGPT for writing prompts to practice a certain style. For example:

“Can you generate three short exercises to help me practice writing in different voices and styles?”

ChatGPT will not only generate exercises, it will also break down the structure and elements of different writing styles and specify the tone.

Or, you can submit text to ChatGPT and ask it to analyze the style and voice. Try this prompt:

“Can you analyze the voice and style of the following text: [insert text].”

I used this prompt to assess the introduction to one of my recent Forbes stories, and ChatGPT said it was “Conversational and Relatable,” “Encouraging and Reassuring,” and “Informative and Practical”—encouraging feedback from my AI editor.

7. Rewrite, Rewrite, Rewrite

In A Moveable Feast , Ernest Hemingway wrote, “The only kind of writing is rewriting.”

If you want to become a writer, you have to embrace rewriting, whether you’re retyping every word or pouring over (and over) a Google Doc draft. Here are a couple of prompts you can use so that ChatGPT can assist in the rewriting process, one excerpt at a time:

“Rewrite this paragraph in the style of [Ernest Hemingway or any other author]."

“Rewrite this introduction so that it sounds like a story in [publication]”

“Rewrite this email so that it will resonate with [audience].”

“Rewrite this paragraph for clarity and concision.”

Importantly, ChatGPT only does part of the work. It falls to the writer to analyze the results, apply those lessons in future drafts, and, of course, to keep writing.

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World Leaders in Research-Based User Experience

Promptframes: evolving the wireframe for the age of ai.

May 17, 2024 2024-05-17

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In This Article:

The need for quality placeholder content, introducing promptframes, benefits of using promptframes, how to use promptframes in the design process, the potential of promptframes, a few precautions to consider, a good tactic for the 1-person ux team.

Using placeholder text or images early in your design workflow can help you explore possibilities and cope with evolving requirements.

However, placeholder content (especially the notorious lorem ipsum) can be a barrier to gathering insightful feedback from users and stakeholders. I have personally experienced derailed usability testing sessions because my placeholders provoked unintentional confusion and doubt in my participants. (And folks like Anna Kaley have previously highlighted the benefits of taking a content-focused approach in early design work.) In UX, remember that the content inspires feedback , not the container .

To enable a more efficient feedback loop, I propose a new design deliverable: the promptframe . Use promptframes to create realistic placeholder content faster using AI.

Promptframes unite the classic UX wireframe with prompt writing for generative AI.

A promptframe is a design deliverable that documents content goals and requirements for generative-AI prompts based on a wireframe’s layout and functionality.

Promptframes organize and document prompts locationally within an existing wireframe. UX designers can create promptframes early in the design process as they begin crafting interfaces to address requirements. Promptframes describe the goals, purpose, requirements, and other details of the content that goes within various design elements, so that AI can readily assist with content ideation and generation.

Wireframes can sometimes create problems for UX designers:

• Reduced ideation . When designers rush ahead to make prototypes with high visual and interactive fidelity, they may spend less time exploring content. Most ideas are poor, and it's usually through evaluating many ideas (or combining several mediocre) that good designs emerge.
• Obscured requirements . Allowing placeholders to linger within designs can hurt the UX designer in the long run. Unknown requirements or technical constraints that the UX designer discovers too late may result in infeasible or misaligned designs that cannot be easily corrected in due time.
• Diminished feedback. Designs with poor content fidelity are too abstract for users to understand. For example, a data-intensive app with nonsensical charts and tables will be incomprehensible to a data-analyst accustomed to evaluating realistic data. Users may ignore these areas or ask questions about them in testing, consuming precious session time on what you (mistakenly) felt were unimportant details.

Promptframes address these issues in several ways:

• Efficient ideation . One of the superpowers of generative AI is providing multiple variations of an idea with minimal effort. Promptframes integrate this idea engine into the UX design workflow.
• Improved content fidelity . Specific, focused AI prompts can result in helpful content that, while not necessarily ideal for release, may be good enough for user testing and gathering feedback.
• Faster iteration . Writing prompts may initially require some upfront effort, but that effort is repaid with the ease of incorporating insights from testing and feedback. Content can be pivoted and improved rapidly by sharing those details in subsequent prompts.
• Better collaboration . Visuals are a great help when collaborating, as they build common ground with your team. Yet squiggly lines and lorem ipsum are often too abstract for nondesigners. AI-generated content, as well as the prompts generating it, can stimulate dialog and feedback from colleagues and may surface obscure requirements earlier in the design process.
• Greater focus on objectives . Promptframes ask UX designers to go beyond interface components and describe business and user goals. If the UX designer struggles to explain these goals to a generative AI tool, it calls into question the content's purpose.

Conduct your early-stage UX design process normally using sketches and simple wireframes . This work will serve as the foundation for your promptframes once it is digitized in your design tool.

To illustrate promptframes in the design process, we will use hypothetical examples based on a page from Blue Apron's website describing a special promotional offer for people in community-service roles.

1. Establish Context and Describe Users

Documenting and sharing context with the generative AI will improve its ability to assist with content creation. ChatGPT is particularly well suited for promptframes due to its support for various output types.

Consider including these important high-level details in your prompts.

Generative AI also needs user insights to be effective. Share written content from high-quality personas or archetypes  that mention user needs, behaviors, goals, pain points, as well as motivations for the product, service, or feature being designed.

All this specificity will give you better results than just using off-the-shelf AI agents that proclaim to fulfill similar content-generation roles. Although this looks like a lot of effort to write or compile, you need to do this only once and can reuse them throughout this project or others.

Remember to leverage AI-tool features that maintain this context. For example, ChatGPT offers a custom - GPT feature that conveniently persists these details. Other AI tools like Gemini or Claude currently don’t support easy reuse of context; for those tools, you will need to capture these details (perhaps in a text document) and feed them into your prompt before discussing project specifics.

2. Write and Document Prompts

With the context and users established with our AI tool, the next step is to document prompts that will direct the AI in content creation. Start by writing down the purpose of the various areas and elements in your design that will contain content.

Always include these details in your prompts:

• Objectives : Why is this piece of content present in the design? How does it benefit the business and the users? User stories and other requirements from a product-manager colleague can be an excellent reference here.
• Desired outcomes : What do you hope users will do or think because of this content?
• Examples : If available, include examples that could serve as inspiration when generating the content.

Here are additional aspects to consider for specific types of content:

• Message : What core message are you trying to convey in this copy? What facts and details must be included?
• Container : Where will the copy be seen (landing page, call-to-action button, error message, etc.)?
• Constraints : Are there word-count limits or other limitations required by the container?
• Tone of voice (conditional) : Should the default tone of voice be adjusted for this copy? For example, softening a typically humorous tone of voice for an error message likely to disappoint the user.
• Subject : Who or what elements should be depicted in the image?
• Actions : Are any actions happening with the subjects in the image?
• Background : Is the background relevant, or should it be plain for easy removal?
• Dimensions : What size should the image be to fit the interface? For example, if real images will be coming from another system, then this would be an excellent opportunity to start asking colleagues about expected dimensions of those real images and documenting that constraint in the prompt.
• Style : How should the image be presented? What illustrative techniques are being used, or should it be a photo?

Some generative AI systems are capable of photorealistic content, but some vendors prohibit its creation as a precaution against abuse and misinformation. Don't waste time trying to work around these prohibitions if your current AI tool won't comply. You may need to use a different AI tool or settle for less than true-to-life images.

Data Visualizations

• Type : Describe the specific visualization desired, such as a bar chart, line chart, or table.
• Data and outliers : Provide a spreadsheet of data or request AI to create synthetic data to illustrate a desirable visualization. For example, instead of handcrafting data, just describe that a specific product line should trend downward over time on a line chart if a downward trend would support a task in future usability testing.
• Columns and totals : Where applicable, describe table-column labels, desired totals, and reasonable upper and lower values. Again, consider what might be helpful to represent in future usability-testing tasks.
• Sorting : For tables, describe any default sorting of the data.
• Axes : Describe the components of chart axes, such as minimum and maximum values, data type, and label formatting.
• Style : Provide a color palette for charting elements, if relevant.
• Background : Describe the background fill and any usage of reference lines.
• Legend : Describe the content and placement of a legend, if relevant and desired.
• Labels : Consider data labels for specific data points or the label of the overall chart.
• Dimensions : For charts, describe what size and image format should be used.

3. Run Prompts in AI Tool and Populate Your Designs with Content

Copy and paste the prompts into your AI tool. Then integrate the generated content in the wireframe to start evolving it into a prototype. To keep your work organized, document links to separate AI-tool chats in the promptframe, as you will likely revisit them in future revisions.

When performing this step:

• Guard against perfectionism . Don’t be tempted to create production-ready content. You can inadvertently waste a lot of time trying to refine the AI tool’s output to be “just right” for only marginal improvements.
• Chunk your prompts . AI tools have token limits for prompts and the AI tool’s input and resulting output. For ChatGPT, that limit currently translates to about 2,000-2,500 words. You still need detailed prompts to be successful, though, so break very long prompts into chunks and run them separately so the AI tool can still provide a detailed response.

4. Refine Through Collaboration and Testing

As you conduct design critiques with your collaborators, review the AI-generated content or the prompts that were used. Parts may be added, revised, or dropped — which is normal — but you should always be progressing towards greater content fidelity in all aspects of the design.

Think of the AI-generated content as a provocation for your colleagues — is this content aligned with our project and user's goals? Why or why not? Capture that feedback by revising the prompts. If there's considerable disagreement, consider splitting the design into 2 prototypes for testing.

Remember, promptframing aims to quickly construct a testable design with meaningful content . Consider the tasks you want participants to perform with the proposed design and use them to influence your prompt writing and content-creation strategy.

5. Iterate Quickly

Following this process should buy you more time, and skilled UX professionals know to reinvest those time-dividends into iteration. Revise your prompts with your research insights and regenerate new content for future testing. Weaker parts should be scrapped or have their prompt revised before rerunning it in the generative AI tool.

6. Craft Quality Content

Once you have finished iteration, give your successful prototype the "human white-glove treatment" and elevate it with more content, visual, or interactive fidelity. Human effort will still be required to create the final design! However, you should have received a higher volume of richer feedback covering more design ideas, resulting in an overall more effective design. You can even share your prompts with other human collaborators to give them additional context on the prototype.

UX-design tools are currently exploring generative AI. Some vendors make bold claims, but their practical utility to UX professionals is not so bold (see our review of the current state of AI tools for UX design .) These tools may someday output robust experiences with basic prompting, but what's likely to happen currently is a mishmash of incoherent material derived from commonplace design patterns needing an excessive amount of rework to be useful.  Whether machine or human — garbage in is garbage out.

Promptframes acknowledge that current generative-AI technology can be practical and helpful in the UX-design workflow. But they nudge us to chunk content challenges into well-documented pieces and don't excuse us from thinking and deciding what is needed and why from a user perspective. Instead, they accelerate our ability to check our assumptions with content that users can meaningfully evaluate and give us feedback on.

Perhaps future UX-design tools will offer better support for documenting prompt inputs and their associated generated outputs to help designers create and refine promptframes efficiently within their project's context. Passing a designer’s prompt via an API call to a generative AI platform is simply not enough.

No single UX deliverable can do it all. There are a few precautions to consider specifically with promptframes.

Not for Executive Consumption

Promptframes, like their wireframe cousins, are not suitable for reviews with executives. People cognitively distant from a project typically need high visual and content fidelity to understand design deliverables. At a minimum, promptframes can convey some forward progress (you've been hard at work making something for this project) but don't expect early-stage promptframes to be particularly helpful in a design review with stakeholders deciding the project's direction or future investment.

Content Will Require Revision

Depending on the details provided in the prompts and the generative AI's robustness, the resulting AI-generated content will vary wildly in quality. Images may be inconsistently styled, and copy will undoubtedly need editing. Remember, the goal is not pixel-perfect, launch-ready content but to have sensible content faster so colleagues or testing participants might reasonably understand and share insightful feedback.

Respect Organizational AI Policies

Some organizations regulate the use of generative AI tools to protect their data. Be aware of and adhere to these before using promptframes.

Many UX professionals are a 1-person UX team or work in environments with low UX maturity , with few resources or specialized collaborators. These folks benefit from augmenting their workflow to accommodate an AI content assistant, particularly if writing or graphic design are not strong skills.

However, what if you can collaborate with a content strategist or UX writer? That’s wonderful! Think of promptframes as a collaborative deliverable with these roles, which are (unfortunately) often included very late in the design process. Use the same general workflow described above to get their feedback and suggestions into the design early so their contributions can be tested along with yours.

Promptframes combine our thinking of content containers with a greater emphasis on the content itself in a way that enables generative AI to accelerate our workflow for user testing and feedback. Lorem ipsum as a placeholder practice is as dead as Latin is as a spoken language. Leave Cicero to the philosophers and use promptframes to rapidly create content your users can understand.

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