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Why AI Productivity Is a Faulty Metric
Over the past year, I’ve noticed a question showing up in almost every conversation about AI. “How much more productive are we now?” It’s a reasonable question. Companies are investing heavily in AI. Leaders want to justify those investments. Product teams want to demonstrate impact. So we reach for the easiest number we can find.…
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Why Product Teams Should Care About RFM Analysis
For a long time, I looked at product analytics the same way many Product Managers do. I tracked daily active users, retention, feature adoption, and churn. The dashboards were full of numbers, yet I often felt like I was missing an important piece of the story. Two customers could have the same number of logins…
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The Best Products Don’t Start With Ideas. They Start With Problems.
One of the biggest mistakes I made early in my product career was getting excited about solutions too quickly. Someone would suggest a new feature, and within minutes we’d be discussing designs, timelines, and implementation. It felt productive. We were moving fast. But every now and then, after weeks of building, we’d launch the feature…
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Product-Market Fit in B2B Isn’t About One User Falling in Love With Your Product
When people talk about Product-Market Fit, the advice often sounds simple. Build something customers love. If people keep coming back, tell their friends, and are disappointed if your product disappears, you’ve probably found Product-Market Fit. It’s a great framework. But after working on B2B products, I realized the reality is a little more complicated. In…
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Customer Churn Rarely Happens Overnight. We Just Notice It Too Late.
Early in my career, I used to look at churn once a month. I’d open the dashboard, check the retention numbers, compare them with the previous month, and move on if everything looked stable. It felt like a healthy routine. But over time, I realized something I had completely overlooked. By the time churn appeared…