Guide
6 Kano Model mistakes to avoid
Six common mistakes in Kano Model research and how to avoid each one. They cover segmenting by user type, re-running the survey as categories shift, wording questions around feelings, keeping the feature list short, filtering out questionable answers and pairing the survey with interviews that explain the results.
Where this appears
What's in this guide
- Not segmenting by user type: A feature that delights power users can be indifferent, or even unwelcome, for casual users.
- Treating categories as permanent: Categories shift as expectations change. Re-run every year or after a big competitor release.
- Asking about use, not feelings: Ask how they would feel if it were missing, not whether they would use it.
- Testing too many features: Beyond 25 to 30, fatigue pushes too many features toward Indifferent.
- Ignoring the Questionable category: Filter out answers that like a feature both present and absent. Don't reclassify them.
- Skipping the why: Pair the survey with follow-up interviews to learn why each feature lands where it does.
Use this image
Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:
html
<a href="https://www.koji.so/visuals/kano-model-mistakes-to-avoid"><img src="https://www.koji.so/visuals/kano-model-mistakes-to-avoid/kano-model-mistakes-to-avoid.png" alt="List of six Kano Model mistakes, from not segmenting users and treating categories as permanent to testing too many features and skipping the why." width="1080" height="1080" /></a>
<p>Source: <a href="https://www.koji.so/visuals/kano-model-mistakes-to-avoid">6 Kano Model mistakes to avoid</a>, Koji</p>
