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Keep your analytics honest. This scheduled automation runs every week, reviewing your Metabase dashboards for broken queries, anomalous metrics, and regression patterns — then publishes a structured health report to your analytics Slack channel with the top findings.

Use this template

Open Weekly Analytics Health Check in Devin and create the automation with the default configuration. You can customize it before saving.

What this automation does

Analytics dashboards rot silently. Queries break when tables change, metrics drift when upstream data shifts, and nobody notices until someone’s quarterly review goes sideways. The Metabase MCP lets Devin actually look at dashboards like a human analyst would — flagging issues before they become embarrassments.

How it works

Trigger: Schedule eventrecurring
  • Event: schedule:recurring
    • Conditions:
      • rrule matches FREQ=WEEKLY;BYDAY=MO;BYHOUR=9;BYMINUTE=0
What Devin does: Starts a session with full event context, executes the prompt below, and (optionally) notifies you on failure.

Prerequisites

Example prompt

The template ships with this prompt. You can edit it after clicking Use template, or leave it as-is.

Setting it up

  1. Open Automations → Templates in Devin.
  2. Click Weekly Analytics Health Check. The create page opens with this template pre-filled.
  3. Connect any required integrations and install MCP servers if you haven’t already.
  4. Replace any placeholder values in the trigger conditions (for example, swap your-org/your-repo for your actual repo).
  5. Review the prompt and adjust it for your team’s language, conventions, and guardrails.
  6. Click Create automation.
Most automation templates include suggested ACU and invocation limits to bound cost during early rollout. Keep them as-is until you’re confident in the automation’s behavior, then raise them to fit your workload.

When to use this template

  • Data and analytics teams maintaining high-visibility executive dashboards
  • Product teams tracking key metrics over time
  • Catching broken Metabase queries before a VP sees them
  • Building an ongoing narrative around metric trends

Customization ideas

  • Scope to specific dashboards, collections, or metric categories
  • Tune anomaly-detection thresholds per metric
  • Cross-reference with Daily Health Digest for operational metrics
  • Route output to email or Notion for structured archiving

See also