Data-driven decision-making in product R&D

Abstract

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

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