Ask two paired Kano questions per feature to uncover what users love, what they expect by default, and what they simply don't care about.
Stars conflate enthusiasm with importance. Kano splits that apart by asking how users feel when a feature is present and when it's absent — the gap between the two answers is the signal.
Every feature is classified by how it influences user satisfaction — not by how many people clicked "like."
The output is a category — Attractive, Performance, Must-be, or Neutral — each with a confidence score. That tells you what to ship next, what to fix, and what to skip.
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Any research beats none — the cost of being wrong is almost always higher than the cost of checking. Start lightweight with RINSlab and avoid expensive mistakes.
Yes. Think of it like food: just because you can eat anything, in any quantity, doesn't mean you should. You'll probably end up feeling worse, not better.
The same applies to product development. AI has dramatically reduced the cost of building features, but it hasn't reduced the cost of making your product more complex. Every unnecessary feature adds cognitive load, increases maintenance, and can make the product harder to use.
User research helps you distinguish between features that create value and features that simply add noise. Building is cheaper than ever—but deciding what to build is just as important as before.
Star ratings tell you how much people like something — useful, but not actionable. The Kano paired question gives you a category (Attractive, Performance, Must-be, Neutral) that tells you what to do: ship it, hide it, fix it, or skip it. Same effort to collect, much better signal.
RINSlabshows a confidence score alongside every classification. Clear-cut features often stabilize after 10–20 responses, while borderline cases may need 30 or more before a consistent pattern emerges. As responses accumulate, you'll see the confidence indicator update in real time.
No. Each feature has a public share link (e.g. rins.app/p/abc123). Respondents open it, answer two short questions, done. Anonymous by default — no account, no email, no tracking beyond the response itself.
Absolutely. RINSlab's API enables external tools, dashboards, and AI agents to access your research results, helping teams keep feature feedback and Kano insights visible across their everyday tools.
If you close your account, you can export your workspace data first — the insights CSV on the account page captures everything you've built up.
