• DocumentCode
    3298793
  • Title

    Analytics for Product Planning: In-Depth Interview Study with SaaS Product Managers

  • Author

    Fotrousi, Farnaz ; Izadyan, Katayoun ; Fricker, Samuel A.

  • Author_Institution
    Sch. of Comput., Blekinge Inst. of Technol., Karlskrona, Sweden
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    871
  • Lastpage
    879
  • Abstract
    SaaS cloud computing, in contrast to packaged products, enables permanent contact between users of a software product and the product-owning company. When planning the development and evolution of a software product, a product manager depends on reliable information about feature attractiveness. So far, planning decisions were based on stakeholder opinion and the customer´s willingness to buy. Whether or not a feature actually is used was out of consideration. Analytics that measure the interaction between users and the SaaS gives product managers unprecedented access to information about product usage. To understand whether and how SaaS analytics can be used for product planning decision, we performed 17 in-depth interviews with experienced managers of SaaS products and analyzed the results analyzed with a mixed-method strategy. The empirical results characterize the relevance of a broad range of analytics for product planning decisions, and the strengths and limitations of an analytics-based product planning approach.
  • Keywords
    DP industry; cloud computing; customer services; production planning; software management; software reliability; SaaS analytics; SaaS cloud computing; SaaS product managers; analytics-based product planning approach; customer willingness; mixed-method strategy; packaged products; product planning decision; product-owning company; reliable information; software product; Business; Interviews; Planning; Quality of service; Software as a service; Usability; SaaS; Software product management; analytics; decision-making; product planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5028-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2013.33
  • Filename
    6740237