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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  1. Applying your Kano study results

Tracking the life cycle of customer attitudes and product features

Recognizing patterns in the evolution of customer attitudes to create better products

The categories of your product features will shift over time. The perceived value of a television remote has changed over the years as the product evolves. There are some known patterns in the evolution of perceived feature value. Detecting these patterns will help you make better decisions.

Perception of value is also related to the evolution of the customer relation with your product. A customer's perception of value changes over their own life-time too. New users look at your product differently than long-time users. It's important to understand where your customers are in their life-cycle to make the right decisions.

Tracking feature categories and customer satisfaction by their position in the customer lifecycle means you'll sometimes have to reach out to the same customers again (and again). My experience has shown that this works best if you do your surveys live. The connection you create with people through live interviews makes them more inclined to agree to later interview requests.

Last updated 9 months ago

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