The No-BS Guide to User Research for SaaS Startups
Briefly

The No-BS Guide to User Research for SaaS Startups
"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."
"User research is the cheat code. It's the process of getting out of your own head and into the messy, complicated, and brutally honest world of your customers. Image of looking at the sticky notes on a wall - AI Generated It's how you stop building a product for yourself and start building a solution for them. Forget the Lab Coats. This is What Research Actually Is."
"The big guys will tell you that user research involves "ethnographic studies," "contextual inquiries," and a bunch of other fancy terms that require a PhD and a truckload of cash. 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"
User research reveals actual customer problems and prevents building features based on assumptions. Startups can gather usable insights with low-cost, practical methods rather than academic studies. Effective research consists primarily of observing user behavior and listening to user statements to obtain raw, unfiltered feedback. Early-stage tactics include finding where potential users complain online, silently monitoring discussions, and engaging in direct conversations. The goal is to identify pain points, validate assumptions, and iterate quickly. A three-phase playbook structures research; the first phase, Scrappy Start, uses Reddit and niche communities to locate frustration and unmet needs for hypothesis generation.
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