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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Format: | Article |
Language: | English |
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Global Business Research Center
2023-12-01
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Series: | Annals of Business Administrative Science |
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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. |
first_indexed | 2024-03-08T09:31:27Z |
format | Article |
id | doaj.art-e598ddccb49a49b4973fff3a265fa93a |
institution | Directory Open Access Journal |
issn | 1347-4464 1347-4456 |
language | English |
last_indexed | 2024-03-08T09:31:27Z |
publishDate | 2023-12-01 |
publisher | Global Business Research Center |
record_format | Article |
series | Annals of Business Administrative Science |
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 |