# Watsons

- **Event:** [Google I/O Hackathon](https://cerebralvalley.ai/e/google-io-hackathon)
- **When:** Sat, May 23 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Anshul Dhawan](https://cerebralvalley.ai/u/anshuldhawan)
- **GitHub:** https://github.com/anshuldhawan/watsonproductassistant
- **Demo video:** https://youtu.be/DrOzV2qU9yE
- **Gallery:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/34

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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Markdown version of https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/34. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt