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AI agent for product analysts

Product Analytics Event Contract Agent

Events that match the metric definitions exactly.

Quality controlProduct development
See how it worksGet access
Product Analytics Event Contract Agent: what goes in, what the agent does and what you get

What it does

Product analytics events drift away from the approved metric definitions, so dashboards quietly become wrong. After an anomaly or a release, this agent compares the events being sent with the event contract, which says what each event means and when it fires. It runs diagnostic test journeys to expose missing, extra or duplicate events. It prepares an instrumentation fix and reruns the same journey that exposed the problem. If the events still do not match the meaning in the contract, it revises the fix. The analytics lead approves tracking changes and anything touching consent rules. Edge case: a patch for a duplicate event suppresses both events, so the agent narrows it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Anomaly or release 2 USES A TOOL Compare events with the contract 3 USES A TOOL Run diagnostic journeys 4 DOES Prepare an instrumentation fix 5 USES A TOOL Rerun the same journey 6 CHECKS THE RESULT Do events now match semantics? If not: revise the fix. Back to step 4. 7 YOU APPROVE Analytics lead approves 8 RESULT Event alignment proposal
Read the steps as a list
  1. Anomaly or release
  2. Compare events with the contract
  3. Run diagnostic journeys
  4. Prepare an instrumentation fix
  5. Rerun the same journey
  6. Do events now match semantics?If not: revise the fix. Back to step 4.
  7. Analytics lead approvesThe agent waits here for your OK.
  8. Event alignment proposal

How it decides

It tests fixes with the journey that exposed the problem.

  • Preserve the meaning defined in the event contract.
  • Test each fix with the journey that exposed the problem.
  • No consent rule changes without approval.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Event contract source
  • Diagnostic journeys per key metric
  • Change size that triggers a run (default 20%)
  • Who approves tracking changes

What keeps you in control

It always asks you first

  • Tracking changes
  • Consent rules

Hard limits

  • Staging only.

It stops when

  • Done: journeys pass.

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensAfter the 8 July release, sign-ups on the dashboard jump 40%. The agent runs 10 sign-up journeys and finds the sign-up event fires twice. Its first fix suppresses both events; the rerun check fails with zero events. It narrows the fix to the second fire only. The rerun shows one event per sign-up, matching the contract. The analytics lead approves the change.

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