The Experience
Algorithm.

During initial piloting with New Product Development, the algorithm successfully exposed critical validation gaps in multiple investment-stage products that human review had overlooked. However, the pilot revealed a critical organizational insight: the friction was not methodological, it was structural.

Product managers are intrinsically incentivized to advance through funding gates, creating a disincentive to self-report validation gaps or pause for research. It became evident that the strategic value of Experience Algorithm was not as a guidance tool for PMs, but as an automated diligence gate for the Investment Council.

A framework that predicts adoption failure before funding is approved is most valuable to those allocating the capital. While organizational restructuring paused full programmatic deployment, the architectural logic remains a viable, scalable mechanism to prevent the funding of unvalidated products. Identifying a single flawed PRD prior to engineering allocation represents hundreds of thousands of dollars in preserved capital and protected opportunity cost. This systemic approach continues to serve as the foundation for how I frame research investment and risk mitigation with executive leadership today.