# Analyze heatmaps and session recordings to improve a web page

Turn click, scroll, and session-recording data into specific page fixes and tests that improve the user experience.

- Topic: SEO & Website
- Framework: RTF
- Level: Standard
- Tags: Analyze, Fill-in Template
- Source: https://www.thinkwithprompt.com/prompts/analyze-heatmaps-and-session-recordings-to-improve-a-web-page

## Prompt

```text
Help me turn heatmap and session-recording data into specific improvements for a web page.

**Page and its goal:** [URL or description; e.g. "pricing page: get free trial sign-ups"]
**Traffic context:** [visitors in the period, main sources, mobile vs. desktop split]
**Heatmap findings:** [describe or paste: click maps, scroll depth (% reaching each section), move/attention maps, rage clicks, dead clicks]
**Session recording notes:** [patterns from watched sessions: hesitations, back-and-forth, form errors, quick exits]
**Conversion data:** [rate and any funnel step drop-offs]

Analyze:
1. **Separate devices:** compare mobile and desktop; never combine them in one heatmap reading.
2. **Attention:** where most visitors stop scrolling and whether the key message and call to action appear before that point.
3. **Clicks:** clicks on non-clickable elements (expectation mismatches), rage clicks (broken or slow elements), and ignored calls to action.
4. **Friction:** form fields or steps where recordings show hesitation or errors.
5. **Sample size:** whether there's enough data to trust each finding, and which findings are only hypotheses.

Return a table: observation, likely cause, recommended change, expected impact, confidence (high/medium/low). Then the top 3 changes to try first, written as A/B test hypotheses ("If we ___, then ___, because ___"), and what to measure. Remind me to mask personal data in session recordings and respect consent settings.
```

## What to fill in

- rate and any funnel step drop-offs

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