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.

Product management

Sales

Software engineering

Feed-back loop

Data collection

Open-loop

Software functionality

Data driven decision

Economics

Decision making

The ‘open loop’ problem

Ranking process

Software design

Customer feedback

Author

A. Fabijan

Malmö university

Helena Holmström Olsson

Malmö university

Jan Bosch

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

Other publications Research

Lecture Notes in Business Information Processing

1865-1348 (ISSN) 18651356 (eISSN)

Vol. 212 350-351
978-3-319-18611-5 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Software Engineering

ISBN

978-3-319-18611-5

More information

Latest update

12/2/2024

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