App analytics

Automation Cohort Review

Rebuild whether automations keep succeeding after launch week—or whether identity drift and schedule changes dressed failure as growth.

£7,400 · 3-week study

Code and data visualizations on dual screens

New automations look successful until someone asks about week-four success without human override. Warehouse clocks in UTC mixed with UK business calendars, bot identity resets, and schema migrations invent success lifts that never happened on the floor.

This review rebuilds success cohorts from raw history, checks identity continuity across triggers and downstream systems, and tests early automation touches against later stable outcomes. Sample limits stay visible—we refuse to dress pipeline artefacts as insights.

You leave with behaviours worth protecting, metrics to stop celebrating, and a cohort outline your analysts can maintain after we leave.

Typically included

  • Automation success cohort rebuild
  • Identity continuity checks across workflow surfaces
  • Behaviour shortlist for the next release
  • Analyst handoff outline

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