Product insights, best practices, and stories from the world of user feedback.
The Scalability Problem in Research Traditional research is artisanal: Every interview has a custom guide Every survey is designed from scratch Every analysis uses a different framework Results can't be …
PM Roles Are Evolving, Not Disappearing "Will AI replace product managers?" is the wrong question. AI is changing what PMs do, not eliminating the need for them. The right question: …
What Is a Burning Issue? A burning issue is a customer problem that: Affects significant revenue or user base Causes measurable negative outcomes Persists despite workarounds Demands attention regardless of …
The Partnership That Makes or Breaks Products The PM-Designer relationship is the core of product development. When it works, products are both useful and usable. When it doesn't, you get …
The State of AI in Research (2026) AI capabilities in user research have advanced significantly. 88% of researchers now identify AI-assisted analysis as a major development. But adoption is uneven, …
The Broken Loop Most companies have a feedback loop that's actually a feedback line: Customer → Feedback → Analysis → ... → (silence) Customers give feedback. Teams analyze it. Decisions …
Two Ways to See Your Product Product teams need two distinct perspectives: The Customer Lens: How users experience the product The Product Lens: How the product is structured These aren't …
The Reactive Default Most product teams operate reactively: Customer complains → Team investigates Executive has idea → Feature gets prioritized Competitor launches → Panic ensues Churn spikes → Fire drill …
The Signal-to-Noise Problem Customer feedback is noisy. For every actionable insight, there are: One-off complaints from atypical users Feature requests that solve individual problems Feedback about things you can't change …