The AI era requires a different kind of experimentation.

Traditional A/B testing playbooks are becoming obsolete in the AI era due to four major shifts: collapsing UI surfaces, accelerating product velocity, AI-driven personalization replacing manual tweaks, and rising per-usage costs from LLM tokens. The author argues teams should stop wasting engineering resources on minor UI optimizations, take bigger bets especially on monetization, and run experiments for 1-2 months rather than 2 weeks to capture long-term cohort effects. A contrarian point is also made: not everything needs to be tested — AI has already validated many best practices (like showing paid features to free users), so teams should adopt those as defaults and reserve experimentation for genuinely high-impact, system-level changes like freemium boundaries and credit systems.

Nguồn: https://www.elenaverna.com/p/the-ai-era-requires-a-different-kind. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.

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