The complete guide to the Kano model
  • The complete guide to the Kano model
  • Why I wrote this guide
  • A short note on terms used
  • The value of the Kano model
  • The Kano model in a nutshell
  • Step-by-step guide to a Kano study
    • First rule of a Kano study
    • Gathering features
    • Designing your Kano survey
      • The art of formulating good questions
      • More on questions
      • Wording the answers
      • Test your survey
    • Administering your Kano survey
      • In person or online?
      • Selecting survey participants
      • Survey layout
    • Analysing the results of your Kano study
      • Classic Kano survey analysis
      • Continuous analysis
      • Validity and reliability
  • Applying your Kano study results
    • Prioritizing features
      • Prioritising by Kano category
      • Prioritising within categories
      • Prioritising by the value of a feature's presence and the cost of its absence
    • The product development lif
      • Understanding Kano categories to make the right decisions
      • Removing features
      • Identifying areas of improvement
      • The under-utilisation of the Reverse category
      • Disrupting conventions
    • Uncovering customer segments
    • Tracking the life cycle of customer attitudes and product features
      • The life cycle of successful product features
      • Other patterns
      • Customer satisfaction over time
    • Product communication
    • Organisational benefits
      • Objective decision making
      • Product process
      • Resource allocation
    • When not to use the Kano method
  • History of the Kano model
    • Genesis of the Kano model
    • Extensions to the Kano model
    • alternative-kano-methods
    • kano-model-critique
  • Appendices
    • appendix-i-answer-labels
    • appendix-ii-bibliography
  • Deleted
    • Preface
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On this page
  • Who to test with
  • What to test
  • The introduction
  • The questions

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  1. Step-by-step guide to a Kano study
  2. Designing your Kano survey

Test your survey

Last updated 9 months ago

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Never just start a survey without testing it first. Especially with online surveys you have limited opportunity for providing context and eliminate confusion.

Who to test with

Dry-run your questionnaire with a few people before you finalise it. Don't test your survey with random people. Use testers who are similar to your .

You don't need a large number of testers; from three people on you'll begin to what major issues your survey has, if any.

What to test

The introduction

Check whether people understand the context of the survey. You want them to have the same mental construct as you.

If your questions are about the different aspects of ordering movie tickets online, check whether they are seeing your questions in that . You don't want to be framing your questions in another context (like the movie theater programming, its location, ...). Define the context better if people see your questions in a broader (e.g. movie going in general) or stricter (e.g. only the online payment aspect) construct.

Not everyone immediately understands the format of a Kano survey. Test your explanation of the format. Check whether people understand the and that the . When you've found a good way of explaining how a Kano survey works, use that as an introduction to your final (online) survey.

The questions

Ask your testers to think aloud while completing your survey. Ask them to repeat the questions in their own words. You want to make sure they understand what you're asking, and that they understand the questions the way you intended.

You'll also get a feel of whether your survey is too long. You shouldn't ask more than 20 questions per survey, but even that could be too much, depending on the context of the survey or the complexity of the questions.

If you're doing an online survey, . Then follow-up with testers who did not complete all questions to find out why.

consider adding “Other” to the possible answers
meaning of the different answers
answers are not on a scale
hierarchical context
final group of participants