Operational playbook · Commerce & conversion

Use AI to investigate conversion shifts, not to decide the cause for you

AI can organize traffic, checkout, and order signals, but conversion shifts usually have multiple causes. A safer pattern is to generate hypotheses and an investigation order, then verify data and change logs manually.

Editorial synthesisReviewed 2026-08-01Verify before action
DECISION BRIEF

Three points to take away

  1. 01

    Check instrumentation failures before business causes.

  2. 02

    Test one candidate explanation at a time.

  3. 03

    Save both conclusions and counter-evidence.

01

Investigation order

Check analytics, attribution, and payment callbacks first, then compare device, region, channel, and funnel stage. A model may rank clues but cannot repair missing data.

02

Create a testable finding

Write each diagnosis as observation, possible cause, required evidence, and reversible action. Do not turn correlation into causation.

VERIFY BEFORE ACTION

Verification checklist before action

  • Use historical incidents with known causes to check ranking, omissions, and false attribution.

  • Run a bounded trial with non-sensitive samples and retain successes, failures, and human corrections.

  • Before wider use, name an owner, data boundary, stop condition, and review date.

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