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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  • How many questions go in a survey?
  • Self-stated importance

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

More on questions

Last updated 9 months ago

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How many questions go in a survey?

The ideal number of questions in a Kano survey depends on various factors, such as the complexity of your product or service, the purpose of your survey, and the attention span and engagement level of the survey respondents.

This being said, a typical Kano survey contains anywhere from 15 to 30 questions, but shorter or longer surveys can be effective too. It very much depends on the context. Strike a balance between obtaining enough data for meaningful analysis and not overwhelming respondents with too many questions that may result in lower response rates.

The best way to find out is by before launching it. A small sample of respondents can help refine the survey and ensure it is well-received by the target audience.

Self-stated importance

To try and find out how important a feature is the customer, some Kano researchers add an extra question to each feature, like "How important is it or would it be if the car has good gas mileage?" (Berger, 1993). Surveyees can rate the question on a scale of 1 to 10. The researchers then use this as an extra weight in prioritising features.

Apart from the fact that "good gas mileage" is not precise and therefore not a very good question, it turns out that "Kano satisfaction scores are positively related or proportional to self-stated requirement importance (worth)" (Mkpojiogu, 2016).

We'll get to satisfaction scores when , but they are basically a way of reducing the results for a feature to a dissatisfaction index (a score between -1 and 0, indicating how dissatisfied a customer would be if a feature were not present) and a satisfaction index (a score between 0 and 1, indicating the satisfaction with the presence of a feature).

What Mkpojiogu's study shows is that the higher the satisfaction score or the lower the dissatisfaction score, the higher customers will rate that feature's importance.

That's why I generally don't recommend adding an extra question gauging for the self-stated importance to a survey. The less effort surveyees must spend, the better.

testing your survey
analysing survey results