Adjusting the ratio between idea-driven development and data-driven development in product updates

Data usage has a major impact on the corporate innovation process by providing more multifaceted and clarified customer insights than those that have been available before. However, data-driven development relies on objective data, and as a result of the constant pursuit of rationality, we are confr...

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Main Author: Wei Huang
Format: Article
Language:English
Published: Global Business Research Center 2023-12-01
Series:Annals of Business Administrative Science
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/abas/22/6/22_0231016a/_pdf/-char/en
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author Wei Huang
author_facet Wei Huang
author_sort Wei Huang
collection DOAJ
description Data usage has a major impact on the corporate innovation process by providing more multifaceted and clarified customer insights than those that have been available before. However, data-driven development relies on objective data, and as a result of the constant pursuit of rationality, we are confronted with the opposite constraint of user trends. Project L, as discussed in this paper, adopted data-driven development after its official release; however, as product updates were led by user data, the product tended to be updated conservatively and for the existing users, which resulted in a slowdown in the active user growth rate. Fortunately, the development team size was not reduced even after the product was released; hence, Project L was able to change into a development policy in which the ratio of idea-driven development and data-driven development could be adjusted based on user trends. The result revealed that they were equally successful in capturing new users and retaining existing ones.
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spelling doaj.art-e598ddccb49a49b4973fff3a265fa93a2024-01-31T03:08:19ZengGlobal Business Research CenterAnnals of Business Administrative Science1347-44641347-44562023-12-0122612113210.7880/abas.0231016aabasAdjusting the ratio between idea-driven development and data-driven development in product updatesWei Huang0Graduate School of Technology Management, Ritsumeikan UniversityData usage has a major impact on the corporate innovation process by providing more multifaceted and clarified customer insights than those that have been available before. However, data-driven development relies on objective data, and as a result of the constant pursuit of rationality, we are confronted with the opposite constraint of user trends. Project L, as discussed in this paper, adopted data-driven development after its official release; however, as product updates were led by user data, the product tended to be updated conservatively and for the existing users, which resulted in a slowdown in the active user growth rate. Fortunately, the development team size was not reduced even after the product was released; hence, Project L was able to change into a development policy in which the ratio of idea-driven development and data-driven development could be adjusted based on user trends. The result revealed that they were equally successful in capturing new users and retaining existing ones.https://www.jstage.jst.go.jp/article/abas/22/6/22_0231016a/_pdf/-char/enproduct operationdata analysisdata-driven development
spellingShingle Wei Huang
Adjusting the ratio between idea-driven development and data-driven development in product updates
Annals of Business Administrative Science
product operation
data analysis
data-driven development
title Adjusting the ratio between idea-driven development and data-driven development in product updates
title_full Adjusting the ratio between idea-driven development and data-driven development in product updates
title_fullStr Adjusting the ratio between idea-driven development and data-driven development in product updates
title_full_unstemmed Adjusting the ratio between idea-driven development and data-driven development in product updates
title_short Adjusting the ratio between idea-driven development and data-driven development in product updates
title_sort adjusting the ratio between idea driven development and data driven development in product updates
topic product operation
data analysis
data-driven development
url https://www.jstage.jst.go.jp/article/abas/22/6/22_0231016a/_pdf/-char/en
work_keys_str_mv AT weihuang adjustingtheratiobetweenideadrivendevelopmentanddatadrivendevelopmentinproductupdates