Abstract
Analysis of customer needs is a critical first step in successful product development. Customer needs analysis typically consists of interviewing potential customers to understand their needs, grouping similar needs to identify representative needs, and asking customers to evaluate relative importance of the representative needs. Using the importance data, customers may be grouped according to the priorities they place on representative needs. This article compares two approaches for identifying representative needs — affinity diagram (AD) and subjective clustering (SC) — and presents a use of SC to support grouping results obtained from AD. The application of both AD and SC in identifying representative needs is demonstrated using the customer need analysis of the next generation particle accelerator.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
