niopd-ur-kano

name	niopd-ur-kano
description	Applies Kano Model to categorize features based on customer satisfaction impact. Use for feature prioritization, customer satisfaction optimization, or product differentiation strategy.

Kano Model Analysis Skill

This skill applies the Kano Model to categorize features based on their relationship to customer satisfaction.

Theoretical Foundation

Origin

The Kano Model was developed by Professor Noriaki Kano (Tokyo University of Science) in 1984, providing a theory of customer satisfaction.

Feature Categories

quadrantChart
    title Kano Model
    x-axis Feature Absent --> Feature Present
    y-axis Dissatisfied --> Satisfied
    quadrant-1 Attractive
    quadrant-2 One-Dimensional
    quadrant-3 Must-Be
    quadrant-4 Indifferent

Category	Description	Effect
Must-Be	Expected, basic needs	Absence = Dissatisfaction, Presence = Neutral
One-Dimensional	Performance features	More = More Satisfaction
Attractive	Delighters, unexpected	Presence = Satisfaction, Absence = Neutral
Indifferent	Doesn't affect satisfaction	No impact either way
Reverse	Creates dissatisfaction	Presence = Dissatisfaction

Strategic Implications

• Must-Be: Must deliver, but don't over-invest
• One-Dimensional: Compete here, proportional returns
• Attractive: Differentiate here, high ROI

When to Use

• Feature prioritization
• Customer satisfaction strategy
• Product differentiation
• Competitive positioning
• Investment allocation

Instructions

Step 1: List Features to Evaluate

Gather features from:

• Backlog
• Competitor analysis
• Customer requests
• Team ideas

Step 2: Kano Questionnaire

For each feature, ask two questions:

Functional (presence): "If the product HAD this feature, how would you feel?" Dysfunctional (absence): "If the product DID NOT have this feature, how would you feel?"

Response Options:

1. I like it
2. I expect it
3. I'm neutral
4. I can tolerate it
5. I dislike it

Step 3: Classify Using Evaluation Table

Dysfunctional →	Like	Expect	Neutral	Tolerate	Dislike
Like	Q	A	A	A	O
Expect	R	I	I	I	M
Neutral	R	I	I	I	M
Tolerate	R	I	I	I	M
Dislike	R	R	R	R	Q

Legend: A=Attractive, O=One-Dimensional, M=Must-Be, I=Indifferent, R=Reverse, Q=Questionable

Step 4: Prioritize Based on Classification

Investment Strategy:

• Must-Be: Ensure complete coverage (baseline)
• One-Dimensional: Invest for competitive parity
• Attractive: Invest for differentiation

Step 5: Generate Report

File path: 02-reports/[YYYYMMDD]-kano-analysis-v0.md

Feature	Category	Priority	Rationale
[Feature]	Must-Be/One-Dim/Attractive/Indiff	High/Med/Low	[Reason]

Output Specifications

• File Naming: [YYYYMMDD]-kano-analysis-v0.md
• Location: 02-reports/
• Template: references/kano-template.md

Related Skills

• niopd-st-rice: Quantitative prioritization
• niopd-st-moscow: Scope prioritization
• niopd-ur-jtbd: Underlying jobs
• niopd-ur-satisfaction: Satisfaction measurement