Prompt

Why is my feature flag experiment not recording events properly?

Technology / AB Testing & Experimentation1 observationLast seen Oct 13, 2026

Latest observation

Oct 13, 2026OpenAI APIWeb search: off

A feature flag experiment usually fails to record events for a handful of common reasons. The main ones are:

  1. The exposure/event call isn’t actually happening

    • The flag is being evaluated, but no tracking/event method is called afterward.
    • In some SDKs, evaluation and tracking are separate steps.
  2. The event is being called before the SDK is ready

    • If the flag client hasn’t fully initialized, the impression/exposure may not be sent.
    • This often happens on page load or app startup.
  3. You’re using the wrong environment or project key

    • The feature flag may be active in one environment, but the experiment/reporting is checking another.
    • Verify dev/staging/prod settings and API keys.
  4. Experiment targeting isn’t applied to the user

    • If the user doesn’t qualify for the experiment, no exposure is recorded.
    • Check rollout rules, segments, and bucketing.
  5. Events are being blocked by ad blockers, CSP, or network issues

    • Browser privacy tools can block analytics/flag endpoints.
    • Look in devtools/network logs for failed requests.
  6. The SDK is configured not to auto-track impressions

    • Some platforms require explicit “track exposure” or “send impression” settings.
    • Confirm the experiment mode is enabled.
  7. Duplicate suppression or throttling

    • Some systems only record one exposure per user/session/flag.
    • You may be expecting multiple events, but the platform deduplicates them.
  8. Wrong event name or schema

    • If you’re sending a custom conversion event, the name/properties may not match what the experiment expects.
    • Check required fields like user ID, variation ID, or experiment key.
  9. Analytics ingestion delay

    • Data may be recorded but not visible yet.
    • Some dashboards lag by minutes to hours.
  10. User identity mismatch

  • The experiment may evaluate under an anonymous ID, but events are sent with a logged-in ID, or vice versa.
  • Make sure evaluation and tracking use the same identity context.

If you want, I can help you debug it systematically. Send me:

  • which feature flag/experiment tool you’re using,
  • a snippet of the evaluation/tracking code,
  • and whether this is web, mobile, or backend,

and I’ll narrow down the likely cause.

Observation history

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