Runs diagnostics and a health check on a PostHog experiment whose results look wrong, biased, empty or stale. Covers 0 exposures, sample ratio mismatch, lost or uneven exposures, users in multiple variants, identity faults, significance traps (peeking, A/A, 'target reached', Bayesian vs Frequentist, sequential testing, CUPED), PostHog-vs-SQL or dashboard discrepancies, mid-run edits, pause and freeze, and qualitative follow-up via a survey.
TRIGGER when: user asks 'is my experiment healthy / biased?' or 'why 0 exposures?', mentions the bias or mismatch warning, an uneven split, a variant that looks wrong, significance that flips, numbers that disagree with their SQL or insight, results that changed after an edit, or wants user feedback on an experiment.
DO NOT TRIGGER when: creating an experiment (use creating-experiments), only configuring rollout (use configuring-experiment-rollout) or metrics (use configuring-experiment-analytics), or only asking lifecycle questions (use managing-experiment-lifecycle).