Blog Post

Data-Driven Growth for Early-Stage Startups

Define a north-star metric and 3–5 input metrics that ladder up to it. Align squads to inputs they can influence directly.

Set up clean event tracking early. Name events consistently, avoid over-tracking, and validate data before shipping experiments.

Prioritize experiments by expected impact and confidence. Keep cycles short; a medium-quality test this week beats a perfect test next month.

Build guardrails: monitor activation, retention, and support tickets during experiments to catch negative side effects quickly.

Operationalize learnings. Successful experiments become playbooks; failed ones feed a ‘what we learned’ archive to avoid repeat mistakes.

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