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Feature testing (Kano) survey template

Collect paired reactions to the presence and absence of features, then explore use context and priorities.

10 questions · 4 pages · 3 answer formats · About 2 min

Time is estimated from all questions, including matrix rows. Branching can shorten a path; reading, consent and longer written answers can add time. Confirm it with a pilot.

See example results and what to do next

Free to use within your plan's response allowance. Edit the wording and options before publishing.

Use this template opens an editable draft after sign-in. Questions, answer options and configured logic carry over; nothing is published until you choose to publish.

Try the questionnaire

Answer it before you use it.

Try the actual questions, follow-ups and endings. Preview answers stay in this tab and disappear when you close or restart it. Nothing is submitted.

Who this is for

Product researchers studying how people react to the presence and absence of proposed features.

Before you send it

Describe Feature A and Feature B concretely. Keep both directions of each question pair and all five answer categories. Ask about functionality, not an appealing marketing name.

Questionnaire preview

These are the questions and answer options copied into your draft. Bracketed text is a prompt to customize. Matrix questions contain several statements, so allow time for each row.

Page 1

  1. 1. How would you feel if [Feature A] WERE available? (required)

    Choose one

    I would like itI expect itI am neutralI could tolerate itI would dislike it
  2. 2. How would you feel if [Feature A] were NOT available? (required)

    Choose one

    I would like itI expect itI am neutralI could tolerate itI would dislike it
  3. Page 2

  4. 3. How would you feel if [Feature B] WERE available? (required)

    Choose one

    I would like itI expect itI am neutralI could tolerate itI would dislike it
  5. 4. How would you feel if [Feature B] were NOT available? (required)

    Choose one

    I would like itI expect itI am neutralI could tolerate itI would dislike it
  6. Page 3

  7. 5. If we could only build one this quarter, which should it be?

    Choose one

    [Feature A][Feature B]Neither — something else
  8. 6. If neither, what should we build instead?

    Long text

  9. Page 4: Context and next steps

  10. 7. How often would you encounter the situation these features address?

    Choose one

    DailyWeeklyMonthlyLess oftenNever
  11. 8. How clearly did you understand the proposed features?

    1–7 scale (Not clearly → Very clearly)

  12. 9. What would a useful version of your preferred feature need to do?

    Long text

  13. 10. Which proposed feature would you test first?

    Choose one

    [Feature A][Feature B]Both equallyNeither
Use this template →

Use the builder link to retain logic, piping, consent, scoring, and randomization. Plain text copies wording only; piped answers become editable placeholders.

How to read the results

Results → Analysis classifies the configured Kano pairs, counts missing or invalid responses, and calculates satisfaction and dissatisfaction coefficients. Keep the saved answer order: Like, Expect, Neutral, Tolerate, Dislike. Do not treat these answers as a satisfaction average.

Preview your edited survey on desktop and mobile, run a small pilot, and review an export before inviting the full audience. Adding questions is optional: keep the ones that support your decision.

Example results · fictional data

See the reactions behind a feature request

40 fictional respondents answered both questions for each feature. Feature A represents saved views; Feature B represents scheduled exports.

Research results

The measures behind your study

Calculated from fictional answers for this example. Unweighted; missing or invalid inputs are excluded per measure.

Feature A

40 complete pairs · 0 incomplete or invalid

Most frequent: Attractive

Attractive
20
Performance
10
Must-have
6
Indifferent
4
Reverse
0
Questionable
0

Satisfaction coefficient: 0.75 · Dissatisfaction coefficient: -0.4. Coefficients exclude Reverse and Questionable pairs; 0 means no observed effect, +1 / −1 the strongest directional result.

Feature B

40 complete pairs · 0 incomplete or invalid

Most frequent: Must-have

Attractive
4
Performance
10
Must-have
22
Indifferent
4
Reverse
0
Questionable
0

Satisfaction coefficient: 0.35 · Dissatisfaction coefficient: -0.8. Coefficients exclude Reverse and Questionable pairs; 0 means no observed effect, +1 / −1 the strongest directional result.

Illustration only. Calculated from 40 invented answer sets using Plumeform's analysis code. Your results depend on the people you recruit and the answers they give.

What you can take from this

Feature A has more Attractive responses, while Feature B has more Must-have responses. Check the full distribution: a most-frequent category does not mean everyone agrees.

What to do next

Discuss the result alongside implementation cost and the needs of the audience you recruited. Keep Reverse and Questionable pairs visible when reviewing the questionnaire.

Keep building your study

Product-market fit

Learn which users would miss your product, what value they get from it, and what they would use instead.

Product feedback

Find the friction behind a product rating and identify the next experience improvement.

Usability benchmark (task-based)

Compare task success and difficulty across two tasks, then capture overall usability and improvement priorities.

Estimate participant time

Count the questions and reading load before confirming timing with a pilot.

Start

Start with this template.
Make it your own.

Free to use within your plan's response allowance. 100 responses a month on Free, and no credit card.