Data-driven decision-making in product R&D

A. Fabijan; Helena Holmström Olsson; Jan Bosch

Data-driven decision-making in product R&D
Paper i 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

Författare

A. Fabijan

Malmö universitet

Helena Holmström Olsson

Malmö universitet

Jan Bosch

Chalmers, Data- och informationsteknik, Software Engineering

Forskning Andra publikationer

Lecture Notes in Business Information Processing

1865-1348 (ISSN)

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

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Programvaruteknik

ISBN

978-3-319-18611-5

Mer information

Senast uppdaterat

2018-02-22

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