Cohort
Google I/O HackathonCohort runs a cohort of distinct AI user personas — a confused First-Timer, an impatient Power User, and an Accessibility user — in parallel against any website. Each persona autonomously browses, narrates in character, and logs the friction they hit. A principal agent then reconciles their conflicting feedback into one prioritized, segment-aware report: ranked fixes, explicit tradeoffs where personas disagreed, and segments at risk of abandoning. The problem: a single automated test gives one perspective. A site can score perfectly for power users while silently losing first-timers and being unusable on a screen reader. Cohort makes those tradeoffs visible by running many simultaneous perspectives and synthesizing the conflicts.
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