> For the complete documentation index, see [llms.txt](https://docs.hackle.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hackle.io/en/ai/model-context-protocol/use-cases.md).

# Use Cases

{% hint style="info" %}
The charts and responses in the result links are examples; actual responses vary depending on your Workspace data and the point in time.
{% endhint %}

{% hint style="success" %}
**Start with a simple question, then go deeper with follow-ups.**

Rather than a long question that includes every condition up front, look at the result and ask follow-up questions like *"Why did it drop at this point?"*, *"Show me just this cohort"*, or *"Draw it as a chart"* — this leads to deeper analysis.
{% endhint %}

{% hint style="success" %}
**If you need a visualization, ask for it explicitly.**

If you ask something like *"Draw it as a chart"* or *"Analyze it with a visualization"*, an appropriate type of chart is generated.
{% endhint %}

See real examples of the kinds of analysis you can run with Hackle MCP.\
Each example includes the prompt used and a link to the result Claude generated.

<table data-view="cards"><thead><tr><th align="center"></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><strong>Daily Active Users</strong><br><strong>Visualization</strong></td><td>Track active user trends in a chart and<br>analyze the periods of change and their causes.</td><td><a href="https://claude.ai/public/artifacts/cb661fe3-8816-4c83-9ad6-5d1547e68ac1">https://claude.ai/public/artifacts/cb661fe3-8816-4c83-9ad6-5d1547e68ac1</a></td></tr><tr><td align="center"><strong>Weekly Retention Visualization</strong></td><td>Compare retention across cohorts to<br>examine where differences appear and hypotheses for their causes.</td><td><a href="https://claude.ai/public/artifacts/61051380-d824-4163-b3f9-c0eb2ff004c9">https://claude.ai/public/artifacts/61051380-d824-4163-b3f9-c0eb2ff004c9</a></td></tr><tr><td align="center"><strong>Active User Changes</strong><br><strong>Over the Past 3 Months</strong></td><td>Summarize user changes over a specific period and<br>identify the trend.</td><td><a href="https://claude.ai/share/e1e433c5-d88a-45ec-b2a9-d8e893f07b72">https://claude.ai/share/e1e433c5-d88a-45ec-b2a9-d8e893f07b72</a></td></tr><tr><td align="center"><strong>Conversion Rate Comparison</strong><br><strong>by User Path</strong></td><td>Compare conversion rates by path and<br>find the characteristics of paths that favor conversion.</td><td><a href="https://claude.ai/share/b31b7296-1a44-4e06-b6c7-1e9a0eb2c132">https://claude.ai/share/b31b7296-1a44-4e06-b6c7-1e9a0eb2c132</a></td></tr><tr><td align="center"><strong>Impact of a New Feature</strong><br><strong>on Stickiness</strong></td><td>Compare stickiness before and after a new feature to<br>examine its impact on user revisits.</td><td><a href="https://claude.ai/share/d0d78742-7807-4b92-9daf-79944d1f6ce2">https://claude.ai/share/d0d78742-7807-4b92-9daf-79944d1f6ce2</a></td></tr><tr><td align="center"><strong>Retention Changes</strong><br><strong>After a New Feature Launch</strong></td><td>Compare retention before and after launch to<br>see how the new feature affected retention.</td><td><a href="https://claude.ai/share/9b9aaf56-016b-4c59-8f85-7e30f45e50be">https://claude.ai/share/9b9aaf56-016b-4c59-8f85-7e30f45e50be</a></td></tr><tr><td align="center"><strong>Push Message Engagement Analysis</strong></td><td>Compare engagement rates across push campaigns and<br>find what high-performing messages have in common.</td><td><a href="https://claude.ai/share/302b1a85-b865-4252-b7c7-a63fca220218">https://claude.ai/share/302b1a85-b865-4252-b7c7-a63fca220218</a></td></tr><tr><td align="center"><strong>Effect of In-App Message Design Changes</strong></td><td>Compare click-through rates before and after the design change to<br>measure the effect of the change.</td><td><a href="https://claude.ai/share/22b502eb-32af-4e05-a2fd-e47690b5b0b6">https://claude.ai/share/22b502eb-32af-4e05-a2fd-e47690b5b0b6</a></td></tr></tbody></table>


---

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```

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