Measurement and Experimentation
Instrumentation turns growth from opinion into a learning system. Track the lifecycle, protect the integrity of experiments, and connect short-term movement to durable outcomes. Growth engineering is the discipline of using data, experimentation, and systematic optimization to drive user acquisition, activation, engagement, and retention. This lesson covers the technical infrastructure and analytical frameworks that enable growth at scale.
- Design an event taxonomy with useful properties
- Run an experiment with a primary metric and guardrails
- Avoid optimizing proxy metrics that damage retention or trust
Write the event spec for one activation flow. Include actor, action, object, context, properties, success event, lagging retention metric, and two guardrails.
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