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

# Understanding Themes & Results

> Learn how themes are extracted from interviews and how to use them to improve your product.

Themes are patterns automatically extracted across multiple interviews. Rather than reviewing each interview individually, the results page surfaces what matters most in two views.

## When Themes Appear

Themes need enough data to identify patterns. **You need 3-5 completed interviews** before meaningful themes emerge.

Once you have enough interviews:

* Themes generate automatically
* They regenerate as new interviews come in
* No manual action needed on your part

<Note>
  If you're not seeing themes yet, check how many successful interviews you have. Interviews marked as [unsuccessful](/interviews/quality) don't count toward theme generation.
</Note>

## Results Page Layout

The results page header shows the total respondent count, an **Export interviews** button, and a **Translate all** toggle for multilingual studies.

Below the header, two tabs organize your results:

### Goals View (Default)

The Goals view displays your research goal at the top, followed by themes extracted across all interviews.

Each theme card includes:

* **Title** summarizing the theme
* **Sentiment** indicator (green for Positive, red for Negative, gray for Neutral)
* **Description** elaborating on the pattern
* **Interview count** with percentage showing how many unique interviews mentioned this theme
* **Citations** — expandable carousel of quote cards linking directly to the conversation history

<Tip>
  Click "Show citations" on any theme to expand a highlight reel of direct quotes. Each quote card links to the exact moment in the conversation, so you can hear the original audio.
</Tip>

### Questions View

The Questions view lets you drill into responses per question using a **question selector dropdown** (Question N of M).

For each question, you see:

* **Themes** specific to that question with sentiment and citation counts
* **Individual response cards** showing each participant's answer text
* A **translation indicator** on response cards from non-English interviews
* **Expandable transcript context** to see the full exchange around each answer

## Sentiment Reference

| Color | Sentiment | Meaning                                  |
| ----- | --------- | ---------------------------------------- |
| Green | Positive  | Users expressed satisfaction or praise   |
| Red   | Negative  | Users expressed frustration or criticism |
| Gray  | Neutral   | Observation without strong sentiment     |

## Sharing Results

You can share your results via public link at three levels of granularity:

<AccordionGroup>
  <Accordion title="Share entire results">
    Share a link to the full results page, including all themes and responses across both views.
  </Accordion>

  <Accordion title="Share a specific question">
    Share a link scoped to a single question's themes and responses.
  </Accordion>

  <Accordion title="Share a specific theme">
    Share a link to one theme, including its description, sentiment, and citations.
  </Accordion>
</AccordionGroup>

## Using Themes Effectively

**Prioritize by sentiment.** Red (negative) themes often point to friction worth fixing. Green (positive) themes show what to preserve — don't accidentally break what users love.

**Listen to the source.** Expand citations on any theme to see the exact moments users said something relevant. Click through to the conversation to hear the original audio and read the full transcript.

**Watch for patterns over time.** As more interviews complete, themes become more reliable. A theme mentioned by one user might be an outlier; the same theme from ten users is a signal.

<Tip>
  Share theme citations with your team by playing them in meetings. Hearing real users describe their experience is more compelling than summarizing it yourself.
</Tip>