Kano Model

Overview

Framework for classifying product features by how they affect customer satisfaction. Developed by Noriaki Kano (1984). Core insight: not all features contribute equally — some are expected, some scale linearly, and some surprise and delight.

SATISFACTION
     ▲
     │                        ╭─── DELIGHT (Excitement)
     │                    ╭───╯
     │             ╭──────╯    ╭── PERFORMANCE (Linear)
     │         ╭───╯       ╭───╯
─────┼─────────────────────────────────► FEATURE PRESENT/ABSENT
     │   ╭─────╯   BASIC (Must-be)
     │╭──╯
     ▼
DISSATISFACTION

Feature Categories

Basic (Must-be / Threshold)

Expected by default. Absent = dissatisfied. Present = neutral. Customers never ask for these — they simply assume them.

• Example: Login works, data saves correctly, app does not crash on launch

Performance (One-dimensional / Linear)

Satisfaction scales directly with execution quality. More = better, less = worse. Customers benchmark these against competitors.

• Example: Page load speed, battery life, search accuracy, storage capacity

Delight (Excitement / Attractive)

Unexpected features that create positive surprise when present; no dissatisfaction when absent. High ROI until competitors copy them.

• Example: Proactive suggestions, smart defaults, surprising personalization, one-tap undo

Indifferent

Customers do not care either way. Common with internal engineering features accidentally exposed as UI.

Reverse

Presence actively annoys a segment of users. Often surfaces in power-user vs. casual-user splits (e.g., auto-play, onboarding modals).

How to Apply

Step 1 — List candidate features

Enumerate the features to evaluate: backlog items, proposed roadmap, or existing features under investment review.

Step 2 — Design the Kano survey

For each feature, ask exactly two questions:

• Functional: "How would you feel if this feature WERE present?"
• Dysfunctional: "How would you feel if this feature were NOT present?"

Answer options for both: Delighted / Expect it / Neutral / Can tolerate / Dislike

Step 3 — Classify using the evaluation table

Step 4 — Tally across respondents

Assign each feature its majority classification. When results split across segments, note the split — power users and new users frequently classify the same feature differently.

Step 5 — Make investment decisions

Output Format

╔══════════════════════════════════════════════════════════════════════════════════════════════╗
║  KANO ANALYSIS  ►  [product / feature set context]                                           ║
╠══════════════════════════════════════════════════════════════════════════════════════════════╣
║                                                                                              ║
║   SATISFACTION ▲                                                                             ║
║           HIGH │                                           ╭──── Delight                    ║
║                │                                    ╭─────╯                                  ║
║                │                             ╭──────╯      ╭─── Performance                 ║
║                │                      ╭──────╯         ╭───╯                                ║
║           ─────┼──────────────────────────────────────────────────► FEATURE absent → present║
║                │              ╭────────╯   Basic (floor)                                     ║
║           LOW  │╭─────────────╯                                                              ║
║   DISSATISF.   ▼                                                                             ║
║                                                                                              ║
╠══════════════════════════════════════════════════════════════════════════════════════════════╣
║                                                                                              ║
║  ┌────────────────────────────────────────────────────────────────────────────────────────┐  ║
║  │  ● BASIC   Must-have — ship without debate                                              │  ║
║  ├────────────────────────────────────────────────────────────────────────────────────────┤  ║
║  │  ▸ [feature]:  [why customers expect it]               RISK if absent: [dissatisf. vec]│  ║
║  │  ▸ [feature]:  ...                                                                      │  ║
║  └────────────────────────────────────────────────────────────────────────────────────────┘  ║
║                                                                                              ║
║  ┌────────────────────────────────────────────────────────────────────────────────────────┐  ║
║  │  ● PERFORMANCE   Linear — optimize to beat competitors                                  │  ║
║  ├────────────────────────────────────────────────────────────────────────────────────────┤  ║
║  │  ▸ [feature]:  current=[X], competitor benchmark=[Y]        TARGET: [goal + rationale] │  ║
║  │  ▸ [feature]:  ...                                                                      │  ║
║  └────────────────────────────────────────────────────────────────────────────────────────┘  ║
║                                                                                              ║
║  ┌────────────────────────────────────────────────────────────────────────────────────────┐  ║
║  │  ● DELIGHT   Excitement — differentiation window                                        │  ║
║  ├────────────────────────────────────────────────────────────────────────────────────────┤  ║
║  │  ▸ [feature]:  [why it surprises]                           SHELF LIFE: [time estimate]│  ║
║  │  ▸ [feature]:  ...                                                                      │  ║
║  └────────────────────────────────────────────────────────────────────────────────────────┘  ║
║                                                                                              ║
║  ┌──────────────────────────────────────────┐  ┌──────────────────────────────────────────┐  ║
║  │  ○ INDIFFERENT   Cut or deprioritize      │  │  ○ REVERSE   Segment risk                │  ║
║  ├──────────────────────────────────────────┤  ├──────────────────────────────────────────┤  ║
║  │  ▸ [feature]: [no satisfaction impact]   │  │  ▸ [feature]: [which segment dislikes]   │  ║
║  │                                          │  │     ACTION: [opt-in / remove / scope]    │  ║
║  └──────────────────────────────────────────┘  └──────────────────────────────────────────┘  ║
║                                                                                              ║
╠══════════════════════════════════════════════════════════════════════════════════════════════╣
║  PRIORITY RECOMMENDATION                                                                     ║
║  1. ► Protect basics:         [list]                                                         ║
║  2. ► Invest in performance:  [top 1-2 with metric target]                                   ║
║  3. ► Bet on delight:         [top 1 with rationale]                                         ║
╚══════════════════════════════════════════════════════════════════════════════════════════════╝

Filled circles (●) mark the three primary investment categories; open circles (○) mark categories to deprioritize or avoid. The satisfaction curve at top shows why Basic features only prevent dissatisfaction while Delight features create asymmetric upside — absence is forgiven, presence is rewarded.

Common Mistakes

• Treating all features as Performance. The default assumption that "more features = more satisfaction" ignores Basic expectations and Delight dynamics entirely.
• Classifying by instinct instead of data. Product teams systematically overestimate Delight and underestimate what customers consider Basic. Run the survey.
• Ignoring category drift. Delight becomes Performance, then Basic over time (e.g., dark mode, read receipts). Re-run Kano annually on mature features.
• Applying one Kano map to all segments. Enterprise and consumer users, or power users vs. new users, often classify the same feature in opposite categories.
• Using Basic classification to justify low priority. Basic means it must exist and must work. It is not low priority — it is table stakes.

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