Q01
Message
All templatesMarket Research
Kano Model Feature Prioritization Survey
Classifies product features into Must-Be, Attractive, One-Dimensional, and Indifferent categories using the Kano model methodology. Designed for product teams seeking to prioritize their roadmap based on how features drive customer satisfaction.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
25 questions · ~11 min
Q02
Multiple Choice
How familiar are you with products in this category (e.g., [product type])?
- I currently use one or more
- I have used one in the past
- I am aware of them but have not used one
- I am not familiar with this type of product
Q03
Multiple Choice
If the product offered Fast Checkout, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q04
Multiple Choice
If the product offered Dark Mode, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q05
Multiple Choice
If the product offered Offline Access, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q06
Multiple Choice
If the product offered Advanced Search Filters, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q07
Multiple Choice
If the product offered Real-Time Notifications, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q08
Multiple Choice
If the product offered Export to CSV, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q09
AI Interview
We'd like to understand the reasoning behind some of your feature evaluations. An AI moderator will ask you a few follow-up questions about the features you feel most strongly about.
Q10
Ranking
Please rank these features by how important they are to you (drag to reorder, 1 = most important).
- Fast Checkout
- Dark Mode
- Offline Access
- Advanced Search Filters
- Real-Time Notifications
- Export to CSV
Drag to rank
Q11
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about these features or your overall product experience.
Q12
Multiple Choice
What best describes your primary role?
- Individual user
- Team member
- Team lead / Manager
- Executive / Decision-maker
- Consultant
- Other
Q13
Message
Thank you for completing this survey — your responses have been recorded and will help shape future product decisions. You may now close this window.
Q14
Multiple Choice
If the product did NOT offer Fast Checkout, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q15
Multiple Choice
If the product did NOT offer Dark Mode, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q16
Multiple Choice
If the product did NOT offer Offline Access, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q17
Multiple Choice
If the product did NOT offer Advanced Search Filters, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q18
Multiple Choice
If the product did NOT offer Real-Time Notifications, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q19
Multiple Choice
If the product did NOT offer Export to CSV, how would you feel?
- I like it that way
- It must be that way
- I am neutral
- I can live with it that way
- I dislike it that way
Q20
Opinion Scale
How important is it to you that new features are added to this product in general?
Scale: 1 – 7
Min:Not at all importantMax:Extremely important
Q21
Multiple Choice
How often do you use products like this?
- Never
- Rarely
- Sometimes
- Often
- Very often
Q22
Multiple Choice
How would you describe your experience level with similar products?
- Beginner
- Intermediate
- Advanced
- Expert
Q23
Multiple Choice
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Q24
Multiple Choice
In which region do you primarily live or work?
- North America
- Latin America
- Europe
- Africa
- Middle East
- Asia
- Oceania
- Prefer not to say
Q25
Dropdown
What industry do you primarily work in?
- Technology / Software
- Finance / Banking
- Healthcare / Pharmaceuticals
- Education
- Retail / E-commerce
- Manufacturing
- Media / Entertainment
- Government / Public Sector
- Consulting / Professional Services
- Nonprofit
- Other
- Prefer not to say
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Asks paired 'if offered / if not offered' Kano questions for each feature (Fast Checkout, Dark Mode, Offline Access, Advanced Search Filters, Real-Time Notifications, Export to CSV) to classify them as Must-Be, Attractive, One-Dimensional, or Indifferent
- Includes an AI follow-up interview that adaptively probes the reasoning behind a respondent's feature evaluations, going beyond static multiple-choice
- Adds a drag-and-drop ranking task and an open-text reflection question so quantitative Kano scoring is paired with qualitative context
- Captures role, usage frequency, experience level, and industry as segmentation variables, and auto-generates a report from the combined responses
SurveyMonkey
Product Feature Survey TemplateA ready-to-field template for gathering feedback on specific product features, which is the closest topical match to a feature-prioritization survey. It appears to use standard closed-ended question types rather than the paired satisfaction/dissatisfaction structure that Kano analysis requires. No indication it supports adaptive follow-up questioning.
What it does well
- Fielding-ready template specifically framed around product features
- Backed by SurveyMonkey's established survey distribution and analytics infrastructure
- Likely quick to deploy for teams already using the platform
Where it falls short
- No visible Kano-style paired functional/dysfunctional question format for classifying features
- Static question flow with no adaptive AI probing into why respondents feel a certain way
- No mention of voice AI interviews or automated per-response quality scoring
SurveySparrow
Product Satisfaction Survey TemplateThis is a general product satisfaction template rather than one built around feature-by-feature prioritization or Kano classification. It's useful for overall sentiment tracking but does not appear structured to distinguish must-be features from delighters. Treat it as a related but not directly equivalent offering.
What it does well
- Conversational chat-style survey format typical of SurveySparrow
- Fielding-ready and likely mobile-friendly out of the box
- Good for broad product satisfaction pulse-checks
Where it falls short
- No apparent Kano-model paired question logic for feature classification
- No adaptive AI or voice-based follow-up interviews to explore respondent reasoning
- No transparent prompt methodology or automated quality scoring described
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Market Research
JTBD Outcome-Driven Innovation Survey for Current Users
Maps unmet and over-served outcomes among current product users using Jobs-to-Be-Done methodology. Use it to calculate opportunity scores, prioritize features, and validate roadmap decisions.
View templateMarket Research
ICP Validation & Purchase-Readiness Survey
Validates ideal customer profile assumptions by mapping tool triggers, value drivers, and purchase signals across founder and operator segments. Designed for B2B startups refining go-to-market targeting.
View templateMarket Research
Early Adopter Identification & Trial Tolerance Assessment
Identifies early adopter segments by measuring problem severity, experimentation behavior, bug tolerance, and adoption influence. Use with prospective beta testers or tool evaluation panels to prioritize product roadmap and recruit champions.
View templateMarket Research
Pairwise Feature Trade-Off Preference Survey
Measures consumer feature preferences through forced-choice pairwise comparisons, attribute importance rankings, and purchase intent for portable consumer electronics. Designed for market researchers seeking to identify which product attributes most influence buying decisions.
View templateMarket Research
Category Entry Points & Brand Choice Survey
Measures when and why shoppers enter a product category, the decision drivers behind brand selection, and the path to purchase—providing actionable insights for brand positioning, retail activation, and category growth strategy.
View templateMarket Research
Brand Recall & Aided Recognition Survey
Measures unaided brand recall, aided recognition, and consideration-set drivers within a product category to benchmark brand awareness, track advertising impact, and inform campaign strategy.
View template