The UserInsight blog
Product analytics and user insights, made practical
Plain-language writing on understanding your users: what product analytics is and where it falls short, how to analyze customer feedback at scale, how to run a voice of customer program, how to reduce churn, and the metrics that actually matter. No jargon, just what helps you know your users.
Product Analytics, Explained: What It Is and Why It Is Not Enough on Its Own
Product analytics tells you what users do inside your product. Here is what it is, the metrics that matter, and why behavior alone never explains the why.
How to Analyze Customer Feedback: A Practical Framework for Product Teams
Customer feedback analysis turns scattered comments into decisions. Here is a step-by-step framework for collecting, coding, theming, and acting on feedback at scale.
Voice of Customer: What It Is and How to Operationalize a VoC Program
Voice of customer (VoC) captures what users actually want in their own words. Here is what VoC is, the data sources that feed it, and how to run it as a living program.
How to Reduce Churn: A Root-Cause Playbook for Product and Growth Teams
How to reduce churn starts with finding the real reason users leave. Here is a root-cause playbook that pairs retention curves with the qualitative why behind them.
Product Analytics Metrics That Actually Matter: Activation, Retention, Stickiness and More
The product analytics metrics that matter most: activation, retention, DAU/MAU stickiness, your North Star, and the qualitative context that makes them mean something.
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Usage, feedback, tickets, reviews & surveys, unified · Aggregate & consented · No PII