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Event Tracking Plan

Sidsaladi9bySidsaladi9
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6
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Analytics & Monitoring

Designs structured event tracking plans, naming taxonomies, and QA checklists to ensure reliable product analytics before shipping features.

Event Tracking Plan equips product managers and engineers with a disciplined framework to design analytics instrumentation before writing code or shipping features. Grounded in Lean Analytics and industry best practices from Segment and Amplitude, this skill translates critical business questions into user-intent events, property dimensions, and identity resolution rules. It prevents metric debt by enforcing consistent object-action naming conventions, defining what deliberately not to track, and generating QA checklists that catch silent failures and error-path events before they pollute production metrics.

Key Features

01Translates business questions into targeted event schemas, dimensions, and join keys
02Generates rigorous QA checklists covering staging validation, duplicate prevention, and negative test cases
03Standardizes event taxonomies with strict object_action naming and enum-based properties
04Configures user and B2B account identity mapping for seamless cross-platform attribution
05Maintains clear deprecation tables and explicit out-of-scope lists to avoid taxonomy bloat
066 GitHub stars

Use Cases

01Instrumenting new product features or onboarding funnels prior to production release
02Defining baseline metrics and variant tracking before launching A/B experiments
03Standardizing drifted analytics schemas across Amplitude, Mixpanel, GA4, and data warehouses