The Scenario
A global e-learning platform is planning its next product release cycle. The product backlog contains 10 diverse feature ideas (e.g., download certificates, offline video mode, dark mode, AI quiz generator, 2FA, dark mode interface). The Product Manager needs a structured prioritization model to separate "must-haves" from "delighters" and avoid feature bloat.
The Brief
Classify the 10 features into Kano categories (Must-Be, One-Dimensional, Attractive, Indifferent, Reverse) based on mock customer questionnaire feedback. Create a prioritization roadmap recommending which features to build first.
Deliverables
- Kano questionnaire mapping showing functional and dysfunctional question pairs for each feature.
- A Kano categorization matrix classifying all 10 features.
- A prioritized release plan outlining what features must go into the MVP, what will follow in the next release, and what should be deferred.
- A short analysis (max 200 words) on how Kano prioritization prevents gold-plating.
Submission Guidance
Present your classifications and roadmap using clear Markdown tables. Justify each classification with user behavior assumptions.
Submit Your Work
Your submission is graded against the rubric on the right. If you pass, you get a public Badge URL you can share on LinkedIn. There is no draft save, so work offline first and paste your finished response here.