Operations

A data-backed KPI digest with trend alerts posted to #metrics every morning

A daily pipeline that pulls key metrics from your connected analytics tools — Stripe for revenue, PostHog for product usage, your database for operational data — and compiles them into a concise digest. An analyst agent computes day-over-day and week-over-week changes, flags any metric that crossed a threshold, and surfaces anomalies for investigation. The digest is posted to a metrics channel so the whole team starts the day on the same page.

How it works

TriggerRuns every weekday at 8:00 AM
  1. 01
    Job

    Pull metrics from connected data sources

    Query Stripe for MRR, new subscriptions, churn, and payment failures. Query PostHog for DAU, new signups, D1 retention, and feature usage. Query the database for workspace counts, active agents, and job executions.
  2. 02
    Agent

    Compute trends and detect anomalies

    For each metric, compute:
- Day-over-day change (absolute and %)
- Week-over-week change
- 7-day rolling average vs today

Flag any metric that moved more than 2 standard deviations from its 30-day mean. For flagged metrics, suggest a possible cause based on recent events (a deploy, a marketing campaign, a holiday).
  3. 03
    Agent

    Format the digest and highlight actions

    Compile a clean digest with:
- **Headline number**: the single most important metric shift today
- **Scorecard table**: each metric with current value, day change, week change, and status indicator
- **Anomalies**: any flagged metrics with suggested cause
- **Recommended actions**: one concrete thing to investigate or do today
  4. 04
    Tool

    Post digest to #metrics on Slack

    Post the formatted digest to #metrics. Use Slack blocks for a clean table layout. Pin any anomaly that needs team attention.
ResultA KPI digest with trend alerts and one recommended action posted to #metrics every weekday morning