# Smart suggestions

Sleuth automatically suggests automations designed to address your specific bottlenecks!

<figure><img src="/files/RVBOnNadZ1vn5kUpiiAs" alt=""><figcaption><p>Sleuth displays smart suggestions for metrics that have worsened by 30% or more since the prior period</p></figcaption></figure>

### Viewing smart suggestions

On the Project Metrics and Team Metrics dashboards, when a DORA metric or sub-metric has worsened by 30% or more compared to the prior period, Sleuth displays a suggestion prompt like the one in the screen shot above.

Click **View automations** to navigate to a pre-filtered view of the Automations Marketplace, where you easily view all available automations that are tagged with your ailing metric.

<figure><img src="/files/trxz8IONgyStonAEtEO7" alt=""><figcaption><p>Filtered view of the Automations Marketplace showing automations designed to improve <strong>Review time</strong></p></figcaption></figure>

When multiple metrics have worsened by 30% or more, the suggestion prompt will also include a **More suggestions** link. Click it to view the additional suggestions. Click the arrow next to any suggestion to view automations designed to help that specific metic.

<figure><img src="/files/5OSIdEq2mPkpyUuRbLgu" alt=""><figcaption></figcaption></figure>

### Dismissing smart suggestions

Click the **X** in the top-right corner of the suggestion banner to dismiss all smart suggestions for the remainder of your current Sleuth session.

Click **Don't show again for this metric** to more permanently dismiss suggestions for a specific metric. Suggestions for that metric will remain suppressed across all Projects and Teams for your Sleuth user. You can re-enable suggestions at any time by clearing your browser cache.

<figure><img src="/files/47NxGe6z5QeI2CQbtG9g" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.