Data-driven decision-making in product R&D

A. Fabijan; Helena Holmström Olsson; Jan Bosch

Data-driven decision-making in product R&D
Paper in proceeding, 2015

Software development companies experience the road mapping and requirements ranking process to be complex as product management (PdM) strives in getting timely and accurate feedback from the customers. Often, companies have insufficient knowledge about how their products are being used, what features the customers appreciate and which ones will generate revenue. To address this problem, this research aims at helping the companies in closing the ‘open’ feedback loop that exists between PdM and customers. Moreover, the research strives at exploring techniques that can be used to involve customers in continuous validation of software functionality in order to provide PdM with the evidence needed for accurate R&D investments.

The ‘open loop’ problem

Software functionality

Software design

Sales

Open-loop

Data driven decision

Feed-back loop

Economics

Software engineering

Product management

Decision making

Data collection

Ranking process

Customer feedback

Author

A. Fabijan

Malmo Hogskola

Helena Holmström Olsson

Malmo Hogskola

Jan Bosch

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Other publications Research

Lecture Notes in Business Information Processing

1865-1348 (ISSN)

Vol. 2012 350-351
978-3-319-18611-5 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories (SSIF 2011)

Software Engineering

ISBN

978-3-319-18611-5

More information

Created

10/7/2017

Data-driven decision-making in product R&D Paper in proceeding, 2015