Blog

Thoughts on product decision-making, customer signals, and building product memory.

Why Your Feature Prioritization Framework Ignores Half the Evidence

RICE scores and impact-effort matrices look rigorous. But they're usually filled with guesses, recency bias, and whoever lobbied hardest.

17 April 2026·10 min read·feature prioritizationRICE frameworkproduct managementevidence-based decisions

What Product Teams Can Learn From Intelligence Analysts About Connecting Signals

Intelligence analysts don't collect more data. They connect data that already exists. B2B product teams have the same problem and can steal the same playbook.

17 April 2026·11 min read·product intelligencesignal analysisproduct managementpattern recognition

The Real Cost of Losing Context Between Customer Calls

Within 48 hours of a customer call, most PMs have lost 60-70% of the nuance. The feature request is remembered. The reasoning is gone.

17 April 2026·9 min read·customer contextproduct managementB2B customer intelligencemeeting notes

Product Memory: Why B2B Product Teams Keep Making the Same Mistakes

Product teams lose critical context within 48 hours of every meeting. Product memory captures, connects, and scores the signals that drive better decisions.

17 April 2026·17 min read·product memoryproduct intelligenceB2B product managementproduct decisions

How to Capture Customer Signals Without Adding Another Tool to Your Stack

Product teams lose 70% of meeting insights within 24 hours. Here's a 3-step framework for capturing B2B customer signals using tools you already have.

15 April 2026·12 min read·product memorycustomer signalsB2B product managementtool sprawl