M35: Metrics for AI Chatbot

Instagram AI chats surge 50%. Human DMs plummet 25%. Why this signals transformation, not crisis.

Most product teams approach AI adoption by chasing vanity metrics and feature parity, leaving the deeper behavioral transformation underexplored. This analysis demonstrates systems-level strategic thinking through:

• Framework-Driven Decision Making: Applied VITAL methodology to eliminate bias and rank 5 competing NSMs with objective scoring, revealing why “time spent” beats “user count” for sustainable AI engagement

• Contradiction Navigation: Transformed alarming usage shifts (AI up 50%, human DMs down 25%) into diagnostic opportunities by generating testable hypotheses about user psychology and interface design

• Strategic Tradeoff Resolution: Chose depth over breadth (10 power users vs 100 casual users) and speed over accuracy through first-principles reasoning about network effects and engagement psychology

Key Insight: Elite product strategy means building conviction through structured analysis, not intuition—especially when data points in conflicting directions.

Metrics for Meta AI Chatbot