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Watsons are automated product analysts that replaces manual data pulls with AI-driven analysis. A PM selects from a catalog of 87 analyses across 13 categories (retention, monetization, engagement, etc.) and Watsons run them end to end: pulls the data, applies the right statistical methodology, generates charts, and surfaces a ranked feed of insights worth attention, not raw numbers. They also continuously monitor KPIs for anomalies and triggers qualitative research (competitor analysis, voice-of-customer, unmet-need discovery) when a quantitative finding warrants explanation. An Insight Engine scores, deduplicates, and ranks everything into one prioritized feed so a startup can open it Monday morning and immediately see what needs attention. A reinforcement learning loop captures PM feedback on every surfaced insight and continuously tunes the ranking weights so the system gets better at predicting what deserves attention over time.

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anshuldhawan

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