All terms
Glossary · Prioritization

Kano Model

The Kano model sorts features into Basic (expected — their absence angers users), Performance (more is better), and Delighter (unexpected excitement) categories. It reminds teams that not all features move satisfaction the same way, and that today's delighters become tomorrow's basics. Surveys reveal which category a feature falls into for your users.

Related terms
RICE Scoring
A prioritization formula: Reach × Impact × Confidence ÷ Effort.
MoSCoW
Sorting requirements into Must, Should, Could, and Won't have.
Feature Adoption
The share of eligible users who discover and use a given feature.
Put the method into practice.
Prodstack is the AI product operating system that turns terms like this into shipped, evidence-backed work — from discovery to growth.
Start your 7 days free trial
// Newsletter
Field notes, in your inbox.

Evidence‑driven thinking on discovery, prioritization, specs, and shipping — plus new articles the moment they drop. No noise.