> ## Documentation Index
> Fetch the complete documentation index at: https://docs.humanize.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Summary

> The report — what you learned, what it means, and what to do next.

The Summary is your report. It opens with what the study was about and who took part, then works through what you learned, what it means, and what to do about it.

## Why it matters

This is where you go first. Instead of reading through hours of transcripts, you get the findings written up — each one carrying the participant counts and quotes behind it, so you can see the evidence without digging for it.

## What's in it

The report runs top to bottom in this order. Sections that don't apply to your study are left out rather than shown empty.

* **Overview** — what the study set out to learn and who took part
* **Participants** — the audience that actually showed up, as chips drawn from your screener
* **Objectives** — each research objective from your guide with what the study found on it
* **Segments** — how your [segments](/study/segments-and-quotas) were defined and who fell into each
* **Bottom line** — the single most important thing the study surfaced
* **Emotional signal** — how participants felt across each part of the discussion, from [emotion analysis](/results/emotion-analysis)
* **Key findings** — the headline insights, each with participant counts, supporting quotes, and the theme's [supercut](/results/supercuts) playable inline where one backs the finding
* **Strategic implications** — what the findings mean for the decision you're making
* **Recommendations** — concrete next steps
* **Follow-up studies** — what to run next, and what each would resolve

Every finding is navigable from the table of contents, so you can jump straight to one and link a colleague to it.

## Counts, not percentages

Findings report how many participants expressed something ("7 of 12"), not percentages. Qualitative samples are small, and a percentage on twelve people implies a precision the sample doesn't have. Counts keep the size of the evidence visible.

<Tip>
  When a finding rests on two or three participants, treat it as a lead worth chasing rather than a conclusion. The count is right there so you can make that call yourself.
</Tip>

## How participants appear

Reports never show participant names. People appear as their segment and age ("Lapsed user, 38") when your study has segments, and as a stable number ("Participant #12") when it doesn't. The same number refers to the same person everywhere in the report, so you can follow one participant across findings without knowing who they are.

Names are available on the participant sidebar for the people on your team who need them.

## Sharing it

Use the **Export** menu at the top of the Summary to download a PDF, generate a slide deck, or create a link that shares the live report. [More on exporting](/results/exporting).