AI Trust & Failure Analysis — Independent Research
Independent research study testing ChatGPT, Claude, and Gemini across 5 real task types to document how and where AI products fail their users — delivered as an executive memo for a VP of Product audience.
Year
2026
Scope
AI Product Management
Client
Independent Research
Duration
2 weeks
Independent research study conducted to document how and where AI products fail users, and build a trust framework product teams can actually act on.
Challenge:
AI products are shipping faster than trust frameworks can keep up. There was no structured way to categorize how AI fails, only that it does.
Solution:
Defined a 5-type failure taxonomy, Confident Hallucination, Context Amnesia, Confidence Mismatch, and more, with real observed examples. Built a 3-stage Trust Recovery Framework and a metrics system with 5 custom KPIs including Silent Failure Rate and Trust Recovery Rate. Recommended UX-layer confidence signaling as the highest-leverage retention improvement over model accuracy upgrades.
