Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis

With the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analy...

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Main Authors: Jian Chen, Zhihan Li, Weiwei Wang, Yi Wang, Zhaoxuan He
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/23/7854
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author Jian Chen
Zhihan Li
Weiwei Wang
Yi Wang
Zhaoxuan He
author_facet Jian Chen
Zhihan Li
Weiwei Wang
Yi Wang
Zhaoxuan He
author_sort Jian Chen
collection DOAJ
description With the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analyses, lacking a systematic approach. Consequently, they struggle to deliver solutions that align with user needs. This misalignment may result in issues such as increased cognitive load during product use, a diminished user experience, and lower evaluations of the product. In response, this paper proposes a service touchpoint design model, the “BEDFITA” model. It starts with user behavior and follows a structured, systematic process that includes understanding user behavior, recording user emotions, matching user needs, designing product functions, planning interaction experiences, designing service touchpoints, and analyzing failure risks. The Kano model is employed in the user requirement identification phase to provide more precise user requirement parameters, while FMEA is employed in the failure risk analysis phase to generate more accurate failure risk assessments. This ensures that the final service touchpoint design meets user needs and offers reliability and robustness. Finally, the feasibility and effectiveness of the proposed model are validated through a case study on the service touchpoint design of a smart desk.
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spelling doaj-art-df3a834081b54d71bd46923cc032d44b2025-08-20T02:38:42ZengMDPI AGSensors1424-82202024-12-012423785410.3390/s24237854Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects AnalysisJian Chen0Zhihan Li1Weiwei Wang2Yi Wang3Zhaoxuan He4School of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaWith the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analyses, lacking a systematic approach. Consequently, they struggle to deliver solutions that align with user needs. This misalignment may result in issues such as increased cognitive load during product use, a diminished user experience, and lower evaluations of the product. In response, this paper proposes a service touchpoint design model, the “BEDFITA” model. It starts with user behavior and follows a structured, systematic process that includes understanding user behavior, recording user emotions, matching user needs, designing product functions, planning interaction experiences, designing service touchpoints, and analyzing failure risks. The Kano model is employed in the user requirement identification phase to provide more precise user requirement parameters, while FMEA is employed in the failure risk analysis phase to generate more accurate failure risk assessments. This ensures that the final service touchpoint design meets user needs and offers reliability and robustness. Finally, the feasibility and effectiveness of the proposed model are validated through a case study on the service touchpoint design of a smart desk.https://www.mdpi.com/1424-8220/24/23/7854industrial designservice touchpointintelligent product developmentfailure analysisintelligent product design decision
spellingShingle Jian Chen
Zhihan Li
Weiwei Wang
Yi Wang
Zhaoxuan He
Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
Sensors
industrial design
service touchpoint
intelligent product development
failure analysis
intelligent product design decision
title Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
title_full Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
title_fullStr Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
title_full_unstemmed Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
title_short Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
title_sort research on a service touchpoint design model driven by smart technology based on kano failure modes and effects analysis
topic industrial design
service touchpoint
intelligent product development
failure analysis
intelligent product design decision
url https://www.mdpi.com/1424-8220/24/23/7854
work_keys_str_mv AT jianchen researchonaservicetouchpointdesignmodeldrivenbysmarttechnologybasedonkanofailuremodesandeffectsanalysis
AT zhihanli researchonaservicetouchpointdesignmodeldrivenbysmarttechnologybasedonkanofailuremodesandeffectsanalysis
AT weiweiwang researchonaservicetouchpointdesignmodeldrivenbysmarttechnologybasedonkanofailuremodesandeffectsanalysis
AT yiwang researchonaservicetouchpointdesignmodeldrivenbysmarttechnologybasedonkanofailuremodesandeffectsanalysis
AT zhaoxuanhe researchonaservicetouchpointdesignmodeldrivenbysmarttechnologybasedonkanofailuremodesandeffectsanalysis