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KPI dashboards and anomaly alerts

Key numbers watched daily, with an alert when one moves outside its range.

How it works · KPI dashboards and anomaly alerts

In

  • BigQuery
  • Google Sheets
  • Stripe
  1. 1

    Measure

    Daily metrics computed

    12 metrics

  2. 2

    Compare

    Checked against normal ranges

    1 outlier

  3. 3

    Explain

    Likely drivers summarised

    Refunds up

  4. 4

    Alert

    Owner notified

    Alerted

    Human checkpoint

Out

  • Dashboard
  • Slack
  • Weekly summary
KPI dashboards and anomaly alerts. Inputs: BigQuery, Google Sheets, Stripe. Steps: Measure, Daily metrics computed; Compare, Checked against normal ranges; Explain, Likely drivers summarised; Alert, Owner notified. Outputs: Dashboard, Slack, Weekly summary.

How it works

01

The problem

Problems are found at month-end instead of the day they start.

Step by step

  1. 01Measure. Daily metrics computed.
  2. 02Compare. Checked against normal ranges.
  3. 03Explain. Likely drivers summarised.
  4. 04Alert. Owner notified.Human checkpoint

Tools and control

02

Connects

  • Looker Studio
  • BigQuery
  • Slack

Built on n8n. Equivalent tools can be swapped in.

Human control

A person stays in control at the "Alert" step. Everything else runs on rules you agree, with every run logged.

Next step

What would you like to improve?

Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.