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Crowdsourcing customer needs for product design using text analytics

Version 2 2024-06-06, 12:01
Version 1 2016-07-19, 18:55
conference contribution
posted on 2024-06-06, 12:01 authored by SR Palmer
In product design and engineering, identifying customer needs is the foundation for designing and producing a successful product. Traditionally, a range of techniques have been employed to elicit customer needs. A relatively new technique for identifying customer needs is ‘crowdsourcing’. An emerging area of research is the crowdsourcing of customer needs from online product review sites. This paper proposes a simple process for crowdsourcing customer needs for product design using text analytics. The analysis/visualization method is presented in detail. The text content of online customer reviews for a popular product is collected and processed using text analytics software. A published case study identifying expressed customer needs for the same generic product, collected via conventional means, is used to successfully validate the findings from the text analytics method.

History

Pagination

221-226

Location

London, England

Start date

2016-06-29

End date

2016-07-01

ISSN

2078-0958

eISSN

2078-0966

ISBN-13

9789881925305

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2016, International Association of Engineers

Editor/Contributor(s)

[Unknown]

Title of proceedings

WCE 2016 : Proceedings of the World Congress on Engineering

Event

World Congress on Engineering (2016 : London, England)

Publisher

International Association of Engineers

Place of publication

Hong Kong, China