Kano Model Applications in Customer Satisfaction Engineering
Summary
The Kano model, formulated in the 1980s, has become integral to customer satisfaction engineering by classifying product and service attributes according to their emotional impact on users. It distinguishes between must-be attributes (basic requirements whose absence causes dissatisfaction but whose fulfilment does not increase delight), one-dimensional attributes (performance features with a proportional effect on satisfaction) and attractive attributes (features that surprise and delight when present without evoking dissatisfaction when absent). Engineers and managers worldwide have combined the Kano framework with techniques such as quality function deployment, fuzzy logic and importance–performance analysis to prioritise resource allocation, refine feature sets and optimise processes across sectors. Applications range from self-service technologies and automated logistics to healthcare and retail environments. By translating customer perceptions into actionable engineering specifications, the model fosters human-centred innovation and informs strategic decisions—such as software interface design for parcel delivery networks and protocol enhancements in clinical settings—demonstrating its enduring relevance for aligning technical development with customer expectations.
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Technical terms
Kano model: A two-dimensional framework for classifying product or service attributes based on their ability to satisfy or dissatisfy customers.
Must-be attribute: A fundamental requirement whose violation causes dissatisfaction, while its fulfilment does not proportionally increase satisfaction.
One-dimensional attribute: A feature with a linear relationship between performance level and customer satisfaction; enhancements yield proportional satisfaction gains.
Attractive attribute: A feature that delights customers when present but does not cause dissatisfaction when absent.
Fuzzy Kano model: An extension of the Kano model incorporating fuzzy logic to handle uncertainty and vagueness in customer evaluations.
References
- Perceived Importance and Quality Attributes of Automated Parcel Locker Services in Urban Areas. Smart Cities (2023).
- Integrating Refined Kano Model and QFD for Service Quality Improvement in Healthy Fast-Food Chain Restaurants. International Journal of Environmental Research and Public Health (2018).
- Quality Evaluation of Health Services Using the Kano Model in Two Hospitals in Peru. International Journal of Environmental Research and Public Health (2021).
- Integrating fuzzy Kano model and fuzzy importance–performance analysis to analyse the attractive factors of new products. International Journal of Distributed Sensor Networks (2020).
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