A research presentation should make the question, method, finding and limitation distinguishable. The audience needs to know what the evidence supports before considering a recommendation.
This fictional example summarizes six interviews about an onboarding process. It illustrates qualitative reporting and does not represent an actual study or a statistical estimate of all users.
Match the strength of the claim to the method.
Keep quotations, counts and interpretations distinct.
Put the limitation beside the finding it qualifies.
An eight-slide research presentation
The question in this example is where new users experience confusion during setup. Six interviews can reveal useful experiences, but they cannot establish the prevalence of every problem in the wider population.
| Slide | Purpose | Example content |
|---|---|---|
| 1 | Research question | Where do new users lose confidence during setup? |
| 2 | Context | The setup process and why the question matters |
| 3 | Method | Six interviews, recruitment approach and interview period |
| 4 | Finding A | Participants described uncertainty about the next step |
| 5 | Finding B | Terminology created different interpretations |
| 6 | Variation | An experience that did not fit the main pattern |
| 7 | Implication | Prototype clearer next-step guidance |
| 8 | Limitation and next study | Test the prototype; do not claim population-wide prevalence |
Write a finding at the right level of certainty
If four of the six fictional participants mention unclear next steps, say that four interview participants described the issue. Do not turn it into “67% of customers are confused.” The latter implies a population estimate the study design does not support.
A short participant quote can make an experience concrete when you have permission to use it and preserve its meaning. An invented quote should never be used to make a finding feel more authentic. Use a clearly labeled illustrative scenario instead.
Build a finding slide with three parts
Use a headline, a supporting excerpt or observation, and the implication for the next stage. The implication should remain visibly separate from the evidence. “Test clearer labels” is a proposed response, not a result of the interviews.
- Observation
Several participants paused at the same setup choice.
- Interpretation
The label may not communicate the distinction they need.
- Proposed next step
Test a revised label in a prototype.
- Boundary
The interviews do not establish how common the issue is across all users.
Include the evidence that complicates the story
A participant who completed setup easily may reveal a condition that explains the difficulty, such as prior experience. Do not remove that case merely because it weakens a simple narrative. It can improve the next research question.
Similarly, explain changes in the source material. If one interview was excluded or a question changed halfway through, preserve the relevant context. The audience should be able to distinguish a clean visual summary from an artificially clean evidence base.
A research-slide brief for AI
“Create an eight-slide presentation from these approved interview summaries. State the research question and method before the findings. Report participant counts without treating them as population estimates. Include one contrasting case, separate implications from observations and end with limitations and the next research question.”
Use Syaxis to arrange the presentation, then check each finding against the source notes. Ask for a revision if the model upgrades a tentative interpretation into a confirmed conclusion. The source-verification guide offers a practical claim ledger.
Adapt the structure to the study type
A quantitative experiment needs different detail: measures, sample, comparison groups and uncertainty around the result. A literature review needs the scope of the search and criteria for inclusion. Keep the question-method-finding relationship while changing the evidence slide to fit the actual study.
For the broader preparation process, see research to presentation. For academic source work, see AI tools for academic research.
Perguntas frequentes
Should limitations be saved for the final slide?
A final limitations slide can help, but important qualifications should also sit beside the findings they affect. Otherwise the audience may remember an overstated claim before reaching the caveat.
Can I use percentages for a small interview sample?
Counts are often clearer for this kind of example. If you use a percentage, state the sample and avoid implying it estimates the whole population.
Draft the key finding and its limitation together before choosing a presentation visual.
Um briefing mais claro. Uma apresentação mais forte.
Traga suas ideias para a Syaxis e dê a elas uma história, uma estrutura e slides que valem compartilhar.
