Daliana's Game Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088
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Apr 8, 2024 Kristi Angel shares expertise on boosting experimentation velocity, designing impactful experiments, and building knowledge repos. Topics include choosing metrics, team structures, reducing noise with CUPED, future of A/B testing, and scaling experimentation programs.
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Structure Teams for Speed
- Build cross-functional squads with engineers, designers, PMs, and data scientists for deep domain knowledge and quicker moves.
- Centralize analytics with domain expertise and use a center of excellence for complex experimentation support.
Manage Up to Gain Support
- If you're the only data scientist with a non-technical manager, practice 'managing up' with diplomacy and clear communication.
- Build trust to expand your manager's domain expertise and get needed support.
Centralize Experiment Knowledge
- Build a centralized, searchable knowledge repo to store experiment learnings and institutional knowledge.
- This enables teams to build on past work and avoid repeating mistakes, empowering faster product development.