Most product decisions at startups are made from opinion and intuition; the good ones are made from opinion, intuition.
User research is the practice of systematically learning from the people who use (or don't use) your product. It ranges from a 30-minute customer interview to a formal usability study to longitudinal diary studies. For most startups the right dose is a small amount, done continuously — a few conversations every week, embedded in the product-development workflow — not a big study once a quarter. The goal is to reduce the risk of building the wrong thing, not to produce reports.
(1) Generative interviews — talk to users about their problem before building; used at the fuzzy front end. Aim for 5-8 conversations per user segment. (2) Concept tests — show a prototype or design; measure understanding and intent to use. (3) Usability tests — watch users attempt tasks in the product; measure success and friction. (4) Continuous discovery — a weekly cadence of user conversations tied to current product bets. Pick modes by question: exploring an unknown problem → generative; validating a specific design → concept or usability.
Prepare: 8-10 open-ended questions that surface behavior ('walk me through the last time you...') not opinion ('would you use...'). Recruit: 30-45 min blocks with a $50-100 incentive for consumer users; existing customers or prospects for B2B typically don't need cash. Structure: 5 min rapport + context, 25 min behavior probing, 5 min forward-looking. Record with permission, take live notes, transcribe with a tool (Notion AI, Grain, Dovetail). Never demo your product or pitch during a generative interview — you'll bias every subsequent answer. Save the pitch for a separate closing 5 minutes if the fit is real.
A moderated usability test with 5 users finds 80% of the top usability issues (Nielsen's classic finding). Setup: define 3-5 tasks the user should be able to complete unaided; provide a working prototype or the live product; give the user the task, then shut up and watch. Say only 'and what are you thinking now?' when they go silent. Record screen + audio. Tools: Maze (unmoderated at scale), UserTesting (recruited panel), or Zoom + a live user if you have direct access. Post-test: categorize each friction moment as (blocked / confused / slowed / preferred alternative) and prioritize fixes.
The Teresa Torres model: every week, someone from the product trio (PM + designer + engineer) talks to at least one customer. Interviews are tied to current opportunities on a shared opportunity solution tree. Findings feed into weekly team review. Over months the accumulated context is worth more than any single formal study. Blocker: recruitment. Solve it by building a research panel — existing customers who opted in to be contacted for interviews — and by routing 'I want to talk' signals from support and sales into a research queue.
After each round of interviews, cluster observations into themes on a shared board (Miro, FigJam, or a Notion database). Distinguish: what users DID vs. what they SAID they would do (trust behavior more). Distinguish: repeated patterns (heard from 3+ users) vs. one-off (heard from one). Publish a 1-page brief per study — problem addressed, method, top 5 findings with quotes, recommendations. Circulate to the team; review in the next planning cycle. Research that produces no visible product change is research that will not be resourced next quarter.
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