Blog/The Kano Model

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The Kano Model

Prioritize features by how they drive satisfaction

SK

Skari Team

Skari

July 2026·10 min read

Kano Model

How feature investment maps to satisfaction: must-be, performance, and delighter needs behave differently.

functionality →
Delighter Performance Must-be

Ask a product team which features to build next and you'll get a long list, all marked "high priority." But features don't affect customers equally. A working checkout is expected — nobody praises it, yet its absence is a disaster. A thoughtful surprise, on the other hand, can win loyalty even though no one asked for it.

The Kano model, developed by Noriaki Kano in the 1980s, captures exactly this asymmetry. It sorts features by the relationship between how present a feature is and how satisfied customers feel — and that relationship isn't the same for every feature.

Note

The key insight: satisfaction isn't linear. Some features only cause pain when absent, some scale steadily with quality, and some delight out of proportion to the effort. Treating them all the same wastes a roadmap.

The Five Categories

Kano places each feature into one of five categories based on how its presence and absence move satisfaction.

CategoryWhen presentWhen absent
Must-beNo extra satisfaction — expectedStrong dissatisfaction
One-dimensional (Performance)More is better, linearlyLess is worse, linearly
Attractive (Delighter)Delights — big upsideNo dissatisfaction — not missed
IndifferentNo effect either wayNo effect either way
ReverseSome customers dislike itPreferred without it

Must-be features are the price of entry. One-dimensional features are where you compete on quality. Attractive features are where you differentiate. Indifferent features are candidates to cut, and reverse features are warnings that a "feature" may be unwanted.

The Two-Question Method

Kano's cleverness is in how it measures this. For every feature, respondents answer two questions — a functional form and a dysfunctional form.

FormQuestion
FunctionalHow would you feel if this feature were present?
DysfunctionalHow would you feel if this feature were absent?

Each is answered on a five-point scale: I like it, I expect it, I'm neutral, I can tolerate it, I dislike it. The pair of answers is what classifies the feature. Someone who "likes" a feature when present but "expects" it when absent is describing a must-be; someone who "likes" it present and is "neutral" when absent is describing a delighter.

Tip

One question can't classify a feature — the magic is in the combination. Asking only "do you want this?" would make everything look attractive. Asking both directions reveals the true category.

Satisfaction Coefficients

Beyond the category, Kano yields two numbers per feature that quantify its leverage.

  • Satisfaction coefficient (CS+): how much satisfaction rises when the feature is present — closer to 1 means strong upside
  • Dissatisfaction coefficient (CS−): how much satisfaction falls when it's absent — closer to −1 means strong downside

A must-be feature has a strong CS− and a weak CS+; a delighter is the reverse. Plotting features on these two axes turns a wall of opinions into a map of where effort pays off.

Turning Categories into a Roadmap

Once every feature has a category and coefficients, the sequence writes itself:

  1. 1Secure every must-be first — these are non-negotiable; a gap here sinks satisfaction no matter what else you ship.
  2. 2Invest in the one-dimensional features where you want to win — this is where more quality directly buys more satisfaction.
  3. 3Add a few attractive features to differentiate — small, well-chosen delighters create loyalty out of proportion to their cost.
  4. 4Deprioritize indifferent features and review anything flagged reverse before it does harm.

Common Mistakes

  • Skipping the dysfunctional question — one direction can't classify anything
  • Testing too many features at once, doubling the question count and tiring respondents
  • Treating Kano categories as permanent — delighters decay into must-bes as they become standard
  • Reading a single respondent's answer as the verdict rather than the aggregate pattern

Watch out

Categories drift over time. Today's delighter — a feature no rival has — becomes tomorrow's must-be once everyone ships it. Re-run Kano periodically rather than trusting an old study.

Kano in the SKARI Survey Lab

SKARI's Survey Lab runs the full Kano workflow: it pairs the functional and dysfunctional questions, classifies each feature, and reads the result back in plain language rather than a raw category table.

  • Automatic functional/dysfunctional pairing for each feature
  • Classification into must-be, one-dimensional, attractive, indifferent, and reverse
  • Satisfaction coefficients (CS+ / CS−) per feature
  • A verdict that flags a weak must-be, highlights the top attractive feature, and names the highest-priority candidate

Takeaway

You don't just get a category per feature — SKARI surfaces the highest-priority candidate and warns when a must-be is underperforming, so the survey ends with a decision, not a spreadsheet.

Frequently Asked Questions

How many features can I test?

Because each feature needs two questions, keep it to a manageable set — often 8–15 — or respondents fatigue and the classifications get noisy.

What if a feature comes back "indifferent"?

That's a signal customers don't care — a strong candidate to deprioritize or cut, freeing effort for must-bes and delighters.

Kano or MaxDiff?

Kano classifies the type of need; MaxDiff ranks relative importance. They answer different questions and pair well together.

Key Takeaways

Must-be

Fix first

pain when absent

Performance

Compete

more is better

Attractive

Differentiate

delight

Indifferent

Cut

no impact

The Kano model replaces a flat priority list with a shape: secure the must-bes, invest in the performance features that set you apart, sprinkle in delighters, and stop spending on what customers don't notice.

Takeaway

Satisfaction isn't linear — so prioritize by category, not by a single "importance" score, and your roadmap spends effort exactly where customers feel it.

MaxDiff

Rank features by relative importance

Importance-Satisfaction (IPA)

Where you deliver vs where it matters

Conjoint Analysis

Quantify trade-offs and willingness to pay