audit-analytics

What problem does it solve?

It prevents silent under-tracking and event-taxonomy drift by auditing analytics instrumentation so user actions reliably produce the expected events and properties without accidentally shipping PII.

Core Features & Use Cases

• SDK + taxonomy detection: Detects common analytics SDKs (PostHog, Amplitude, Segment, Mixpanel, GA4, or wrapped SDKs) and uses an existing event catalog as the naming convention source when available.
• Surface audit for coverage gaps: Compares tracked vs untracked user actions within a route/feature/module and reports which actions are missing events (without auto-creating them).
• Drift + consistency checks: Flags naming-case, verb tense, prefix, and property-shape/type inconsistencies across sibling events.
• PII/secrets risk scanning: Detects likely sensitive properties (emails, names, passwords, tokens) in event payloads and escalates severity accordingly.
• Controlled reporting and optional apply: Produces a structured audit report and only offers safe, user-approved fixes for CRITICAL PII or MUST-track gaps; it explicitly avoids auto-renaming events.

Quick Start

Ask the AI to audit analytics for your target route or feature and report missing MUST/SHOULD events, taxonomy drift, and any PII/secrets found in event properties.