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Articles
Stop Asking for Features: Start Hunting for Problems
Customers are terrible at suggesting features but brilliant at revealing problems. Product managers who don’t hear those problems firsthand—and instead outsource discovery to AI dashboards, surveys, or sales teams—are flying blind. Success comes from discovering friction in the real world, not just crunching secondary data.
3 min to read
Why I Hate User Stories (And You Should Too)
Customers Don’t Actually Know What They Want. One of the most important lessons in product management is this: customers don’t actually know their true problems—or the ideal solution. That’s your job. Your job is to discover the problem, not just write down what someone asked for.
4 min to read
Don’t Skip the Retro—Your Product Quad Has Work to Do
Most launch retrospectives are either skipped or sanitized into team therapy. But if you’re working with a Product Quad—product manager, engineering lead, UX designer, and product marketing manager—you’re sitting on a goldmine of insight.
2 min to read
When Everyone’s Right: Prioritization with the Product Quad
Product prioritization isn’t hard because people disagree—it’s hard because everyone’s right. The Product Quad—product manager, tech lead, UX designer, and product marketing manager—each brings a valid, but partial, view of the work.
3 min to read
Defining Your Product Vision
A well-defined product vision is the cornerstone of successful product management. It’s what separates products that merely ship features from those that create meaningful impact. Yet, despite its importance, product vision is often misunderstood or overlooked, leaving teams without a clear sense of purpose or direction.
5 min to read
Why AI Won’t Eat Product Management
In an era where artificial intelligence (AI) is reshaping industries, one question looms large: Will AI replace product managers? The answer lies in understanding the essence of product management itself—a discipline rooted in human connection and the nuanced ability to uncover unmet needs. While AI excels at processing data and automating tasks, it cannot replicate the profound human interactions that drive innovation.
5 min to read
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