Most startups fail by prioritizing features over actual customer problems. User research focuses on two core activities: observing what people do and listening to what they say. Early-stage research can be scrappy and low-cost, using online communities to discover complaints and unmet needs. Practical techniques include silent observation, targeted interviews, and collecting raw, unfiltered feedback to inform decisions. Simple, iterative research uncovers product-market fit signals and guides feature prioritization. A phased approach—from discovery with zero users to continuous feedback during growth—reduces risk and accelerates learning toward viable solutions.
Let's be brutally honest: your brilliant SaaS idea is probably a fantasy. You've got a beautiful mockup, a clever name, and a Trello board full of features that you just know people will love. But here's the cold, hard truth that kills 9 out of 10 startups: 1 Nobody cares about your features. They care about their problems. And right now, you're just guessing what those problems are.
Forget all of that. For a startup, user research boils down to two things: Watching what people do. (The silent, creepy, but effective part) Listening to what people say. (The part where you actually talk to them) That's it. It's not about running a perfect, sterile experiment. It's about getting raw, unfiltered feedback so you can make smarter, faster decisions.
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