One of the first things I learned about experimentation was to wait for statistical significance. If an A/B test didn’t reach the magic threshold, the answer seemed simple: “The experiment didn’t work.” But product decisions rarely feel that simple. Sometimes an experiment shows a promising improvement but doesn’t have enough data yet. Sometimes the result…

Stop Asking What Customers Want. Ask What They’re Trying to Get Done. One of the biggest changes in how I approach product discovery came when I started looking beyond what customers were asking for. Earlier in my product career, I would often ask customers questions like: “What feature would you like us to build?” The…

I once had a customer tell me something that sounded almost too simple: “We don’t need the product to surprise us. We need it to work.” That sentence stayed with me. As Product Managers, we naturally spend a lot of time thinking about what’s next. New features, better experiences, AI capabilities, integrations, and ambitious roadmaps.…

One of the first product metrics I remember getting excited about was DAU/MAU. The number looked simple. Daily Active Users divided by Monthly Active Users. One percentage that seemed to answer a big question: “How often are people coming back to our product?” It is useful. But after working with product metrics for a while,…

One of the first product dashboards I built made me feel good. Daily active users were growing. Feature adoption was increasing. The latest release had performed well. Every metric suggested we were heading in the right direction. Then, six months later, reality caught up with us. Customers weren’t renewing at the rate we expected. Support…