# Help Scout

You can connect Tability to Help Scout to automatically pull support metrics into your check-ins.

Once you add Help Scout as a data source for an outcome/Key Result, Tability can:

* Pull the latest metric value when you open the check-in form.
* Automatically sync your metric while the plan is active on Premium subscriptions.

{% hint style="info" %}
Available on Plus and Premium subscriptions
{% endhint %}

## How to enable the integration

### Step 1. Open the integrations page

Go to **Workspace Settings > Integrations**.

### Step 2. Connect Help Scout

1. Find **Help Scout** in the **Data connectors** section
2. Click **Connect to Help Scout**
3. Complete the Help Scout authorization flow

The workspace integration is installed once the OAuth connection succeeds.

## How to add a data source to an outcome/key result

### Step 1. Open the outcome or KPI editor

Open your outcome or KPI, then go to the **Data Source** tab.

### Step 2. Select Help Scout

Choose **Help Scout** from the list of available data sources.

### Step 3. Select the metric to track

Help Scout currently supports these metrics:

* Conversations created
* Conversations closed
* Unassigned conversations
* Customers helped
* Total replies

### Step 4. Save and preview

Click **Save & preview** to confirm the connection and load the latest value from Help Scout.

## How the data source is used in check-ins

Once the connector is saved, Tability will display the latest Help Scout value in the check-in form.

If auto-sync is enabled on a Premium subscription, Tability will also create synced check-ins automatically while the plan is active.


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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:

```
GET https://guides.tability.io/docs/become-a-tability-power-user/integrations/helpscout.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

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.