Prioritizing features — sound familiar?
Kano classifies features by how they drive satisfaction — invest where it counts.
01 · CLASSIFICATION RESULTS
Six categories. One table.
M · O · A · I · R · Q — plus CS, DS, and Priority.
For each feature, Skari tallies votes across the six Kano response categories and picks the winning class. The bold count is the dominant vote — when the margin is thin, the label is marked as shaky. CS (Satisfaction) measures how much adding the feature lifts satisfaction; DS (Dissatisfaction) measures how much removing it angers people.
Kano Classification Results
n=30| Feature | M | O | A | I | R | Q | Class | CS | DS | Pri. |
|---|---|---|---|---|---|---|---|---|---|---|
| Fast loading | 4 | 3 | 1 | 9 | 10 | 3 | Reverse | 0.235 | -0.412 | 0.097 |
| Dark mode | 0 | 8 | 5 | 3 | 8 | 6 | One-dim. | 0.813 | -0.500 | 0.406 |
| Mobile app | 0 | 0 | 6 | 6 | 13 | 5 | Reverse | 0.500 | 0.000 | 0.000 |
Bold count = dominant vote. CS = satisfaction gain. DS = dissatisfaction risk.
Better-Worse Map
CS × |DS|
Attractive (Delighters)
High CS, Low |DS|
One-dimensional (Invest)
High CS, High |DS|
Indifferent
Low CS, Low |DS|
Must-be (Maintain)
Low CS, High |DS|
02 · BETTER-WORSE MAP
See where every feature lands.
Top-right = invest. Top-left = delight. Bottom-right = maintain.
The Better-Worse map plots every feature on a CS × |DS| scatter chart split into four quadrants. Top-right (One-dimensional) features should be invested in. Top-left (Attractive) features are potential delighters. Bottom-right (Must-be) are table stakes. Bottom-left (Indifferent) can be deprioritized.
03 · INVESTMENT PRIORITY & OPPORTUNITY SCORE
Two lenses on feature value.
Priority = CS × |DS|. Opportunity Score = CS + |DS|.
Investment Priority (CS × |DS|) scores high only when adding a feature clearly helps AND removing it clearly hurts — the strictest bar. Opportunity Score (CS + |DS|) is more forgiving when only one side is strong, making it useful when features are lopsided.
Investment Priority & Opportunity Score
Investment Priority (CS × |DS|)
Opportunity Score (CS + |DS|)
Kano Portfolio Matrix
CS × Priority · bubble = n
Top-right (high CS, high priority) = strongest investment candidates. Bubble size reflects respondents.
04 · KANO PORTFOLIO MATRIX
Where to place each feature.
Satisfaction × Priority — bubble size = respondents.
The Kano Portfolio Matrix plots every feature on a CS × Priority bubble chart. Features in the top-right are the strongest investment candidates — high satisfaction gain and high combined impact. Features in the bottom-left have limited impact and may be candidates for deprioritization.
05 · FEATURE ROADMAP
Recommended action per feature.
Maintain · Invest · Differentiate · Reconsider/Remove.
Based on the Kano classification, Skari maps each feature to one of four strategic actions: Maintain (keep it working), Invest (push performance), Differentiate (make it special), or Reconsider/Remove (stop spending here). Rows are sorted by value so you work top-down.
Feature Roadmap
Recommended action per feature
| Feature | Category | Strategy | Why |
|---|---|---|---|
| Dark mode | One-dimensional | Invest | More is better — direct ROI on satisfaction. |
| Fast loading | Reverse | Remove | Actively unwanted — drop or make optional. |
| Mobile app | Reverse | Remove | Actively unwanted — drop or make optional. |
Maintain = keep it working · Invest = push performance · Differentiate = make it special · Remove = stop spending here.
Migration Analysis
Kano lifecycle drift
A performance feature drifts toward a basic expectation over time. Keep it competitive; the upside shrinks.
Currently unwanted. Re-evaluate the concept or target a different segment.
Currently unwanted. Re-evaluate the concept or target a different segment.
Kano evolution: Attractive → One-dimensional → Must-be over time.
06 · MIGRATION ANALYSIS
How categories drift over time.
Attractive → One-dimensional → Must-be — the Kano lifecycle.
Kano categories are not static — features that delight today become table stakes tomorrow. Migration Analysis shows the likely lifecycle trajectory for each feature so you can anticipate when a delighter will stop paying off and when a must-be needs to be re-invested in.
IN THE REPORT
Everything the Kano Model delivers.
Classify, prioritize, and roadmap your features.
Classification results
Must-be, Performance, Attractive, Indifferent, Reverse.
Better-Worse map
CS / DS coefficients plotted for every feature.
Opportunity score
Investment priority by satisfaction potential.
Portfolio matrix
Position features on a priority quadrant.
Feature roadmap
Sequence what to build and when.
Migration analysis
How categories may shift over the lifecycle.
Segment view
Compare classifications across respondent groups.
Auto interpretation
Plain-language reading of the priorities.
ALSO IN SURVEY ANALYSIS
Explore more survey tools.
Each method answers a different question — same interface, different lens.
Build the features that delight.
Functional + dysfunctional questions in · CS/DS scores, portfolio matrix, roadmap, and lifecycle forecast out.