> For the complete documentation index, see [llms.txt](https://evidano.gitbook.io/ailyze-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://evidano.gitbook.io/ailyze-docs/methods-and-best-practices/reporting-findings.md).

# Reporting Findings

How to turn your findings into a clear, honest report or summary that your audience will trust and act on.

This page shows you how to turn your analysis into a clear, credible report. Analysis only matters if people act on it — reporting is where research becomes impact.

## Match the format to the audience

| Audience                    | Format                             | Evidano feature                                                                                     |
| --------------------------- | ---------------------------------- | --------------------------------------------------------------------------------------------------- |
| Leadership / clients        | One-page executive summary         | [Create an executive summary](/ailyze-docs/create-deliverables/create-an-executive-summary.md)      |
| Stakeholders / teams        | Themed report with quotes & charts | [Generate a research report](/ailyze-docs/create-deliverables/generate-a-research-report.md) (DOCX) |
| Collaborators / interactive | Access to the live project         | [Add Collaborator](/ailyze-docs/create-deliverables/export-and-share-findings.md) *(Pro)*           |
| Analysts                    | Coded data                         | [CSV/XLSX export](/ailyze-docs/create-deliverables/export-and-share-findings.md)                    |
| Academic                    | Methods + themes + evidence        | [DOCX report](/ailyze-docs/create-deliverables/generate-a-research-report.md) + documented codebook |

## A structure that works

1. **Executive Summary** — the few things that matter, up front.
2. **Method** — data, sample size, and how the analysis was done (including how you used AI).
3. **Findings** — by [theme](/ailyze-docs/reference/glossary.md#theme) or question; each with a claim, a number, and a quote.
4. **Comparisons** — key segment differences.
5. **Recommendations** — prioritized and tied to findings.
6. **Limitations** — sampling, scope, confidence.
7. **Appendix** — codebook, full data export.

## Use evidence well

* **One verified quote per point** beats five unverified ones. Always check quotes against the source.
* **Quantify with denominators** ("47% of 320 responses"), using the [frequency](/ailyze-docs/reference/glossary.md#frequency) charts and coded tables.
* **Show the chart** that supports each major claim (export it as PNG or CSV).
* **Attribute carefully** and anonymize where required.

## Don't overclaim

* Qualitative themes describe **what people said**, not how common something is across the whole population (its prevalence) — so be precise about scope.
* AI assists the analysis, but **you are accountable** for the conclusions. State how AI was used and that you reviewed the output.
* Acknowledge **cases that don't fit** the pattern — it strengthens credibility.

## Let Chat draft, you edit

Use [Chat with your data](/ailyze-docs/analyze-data/chat-with-your-data.md) to draft sections fast (*"write the findings for theme 3 with one quote, about 120 words"*), then edit for voice, verify the evidence, and add your own judgment. The chatbot is for **summarizing** what's already there, not for inventing new analysis.

## Reporting checklist

* [ ] Right format for the audience
* [ ] Findings tied to evidence (quotes + numbers)
* [ ] Quotes verified against source
* [ ] Comparisons not over-interpreted
* [ ] Limitations and AI use stated
* [ ] Codebook and data included as an appendix

## Next steps

* [Generate a research report](/ailyze-docs/create-deliverables/generate-a-research-report.md)
* [Create an executive summary](/ailyze-docs/create-deliverables/create-an-executive-summary.md)
* [Qualitative research best practices](/ailyze-docs/methods-and-best-practices/qualitative-research-best-practices.md)