Diagnosing Experiment Results

by PostHog469d1773e9cbNo licenseListed Oct 8, 2026Updated Oct 8, 2026

Diagnoses bias, anomalies, and strange results on a PostHog experiment. Covers 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure, uneven-split exclusion bias, significance traps (peeking, A/A, Bayesian vs Frequentist), PostHog-vs-SQL discrepancies, surprises after mid-run edits, and qualitative follow-up via a variant-split survey. TRIGGER when: user asks 'is my experiment biased?' or 'why 0 exposures?', references the bias banner, says a variant looks strange / wrong / off, sees significance flipping or A/A significance, finds PostHog numbers disagreeing with their SQL, reports surprises after mid-run edits, or wants qualitative feedback or a survey for 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).

Instructions only

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
references/bias-and-skew.md29 KBtext/markdown
references/diagnostic-snapshot.md7.9 KBtext/markdown
references/empty-experiment.md18.6 KBtext/markdown
references/interpretation.md15.4 KBtext/markdown
references/mid-run-changes.md17.1 KBtext/markdown
references/numbers-vs-sql.md17.3 KBtext/markdown
references/qualitative-feedback.md13.8 KBtext/markdown
SKILL.md15.7 KBtext/markdown

Source and attribution

Source:PostHog/ai-plugininskills/diagnosing-experiment-resultsat commit469d177

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

More from PostHog/ai-plugin

Writing Simplified Technical English

PostHog

Applies ASD-STE100 simplified technical English rules to make agent-written prose unambiguous and actionable.

Writing & ContentOct 8, 2026

Working With Task Comments

PostHog

Reads and interprets comments on PostHog tasks, artifacts, and canvases through the PostHog MCP exec dispatcher.

Productivity & WorkflowOct 8, 2026

Working With Skills

PostHog

Guides agents in using PostHog's skill-* MCP tools to discover, read, create, update, and refactor skills.

AI & AgentsOct 8, 2026

Working With Scouts

PostHog

Operating manual for delegating watching jobs to PostHog Signals scouts, acting on their reports, and steering the fleet over time.

AI & AgentsOct 8, 2026

Validating And Publishing Canvases

PostHog

Validate and publish a canvas source project safely: the source-project shape, declared capabilities, reading the current version pointer, iterating on validation diagnostics, guarded publishing with expected_current_version_id, staging a draft build and promoting it, waiting out the queued build, and recovering from a 409 version_conflict or a 429 capacity limit without overwriting concurrent work. Use whenever a canvas edit is ready to save, a draft build is wanted, a canvas publish or build returns diagnostics or a conflict, or a task needs to understand canvas version history.

Awaiting classificationOct 8, 2026

Understanding Billing Usage

PostHog

Explains PostHog billing usage and spend from the customer's visible Billing MCP tools. Use when the user asks why usage or spend is high, which product or project is driving usage, what a usage type means, how to reduce usage, what changed over time, why they got a usage change alert, or whether a spike/drop alert was real or noisy. Also use before product-specific analytics skills when the user names a billable PostHog product metric such as events, recordings, feature flag requests, exceptions, survey responses, synced rows, logs, AI events, AI credits, or Inbox credits. Starts from Billing usage/spend tools, then routes to customer-visible product MCP surfaces for deeper investigation.

Awaiting classificationOct 8, 2026