# Example workflows

After [onboarding](/docs/getting-started.md), use these prompts to work with your data. The agent should inspect available schemas and confirm definitions before querying or creating outputs.

## Connect product usage to revenue

Use [Product Analytics](/docs/product-analytics.md) alongside a connected billing or customer catalog.

```text
Which product behaviors are associated with paying customers?
```

Check the join keys, the number of unmatched records, and whether each account appears at the intended grain. Continue with [SQL across catalogs](/docs/lakehouse/sql-engine.md#federated-queries).

## Investigate a customer error

Use [OpenTelemetry logs and traces](/docs/opentelemetry.md) with customer or product context.

```text
Help me investigate checkout errors affecting customers over the last 24 hours.
```

Verify the service, timestamps, and customer identifiers in the returned records. See [Query logs and traces](/docs/opentelemetry/query.md).

## Build a weekly review app

Use a [data app](/docs/data-apps/build.md) for a repeatable view of your metrics.

```text
Build a data app for our weekly business review. Show revenue, active customers, and product usage over time, with a date filter.
```

Compare displayed metrics with direct SQL results before [sharing the app](/docs/data-apps/share.md).

## Schedule a data check

Use [Automation](/docs/automation.md) when a question should run repeatedly.

```text
Check for missing or duplicate orders every morning and notify me when you find a problem.
```

Test the query or workflow against current data before scheduling it. See [Tasks](/docs/automation/tasks.md) and [Notifications](/docs/automation/notifications.md).