How data-question prompts work
This page is for teams who answer questions from a data warehouse (the database where your analytics tables live, like BigQuery or Snowflake). These prompts turn a question asked in Slack into a query and a chart. Each prompt below is a Slack message. You paste it in the channel where the metrics get discussed, Claude queries the warehouse or reads the channel history and posts progress in that thread, and the result lands there too. The result is a chart with a short answer, returned once or on a schedule depending on the prompt.Check the channel’s connections
Check that the channel has the connections below. Ask@Claude what can you access from this channel? to check; an admin can add a connection the channel is missing.
| Connection | Examples | Why it matters here |
|---|---|---|
| Data warehouse | BigQuery, Snowflake | Required. Runs the queries behind each chart |
Prompts to paste
Chart a metric on demand
The thread is debating something a number would settle. Ask in the channel where the metrics get discussed.Schedule a recurring metrics report
When the team checks the same numbers every morning, schedule the post. One message sets up the recurring report.Chart from Slack alone
Charts don’t require a connection, because channel history is data. It can chart request volume in a triage channel, or how long requests waited for a first reply.Related resources
Watch monitors and alerts
When the question is about systems, not metrics
Set up routines
Recurring reports