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dc.contributor.authorLatner, Avi
dc.contributor.authorValerdi, Ricardo
dc.date.accessioned2016-06-02T13:37:13Z
dc.date.available2016-06-02T13:37:13Z
dc.date.issued2011-03
dc.identifier.urihttp://hdl.handle.net/1721.1/102824
dc.description.abstractThis paper provides an industry case study for measuring the performance of software as a service (SaaS) product features in order to prioritize development efforts. The case is based on empirical data from HubSpot and it is generalized to provide a framework applicable to other companies with large scale software offerings and distributed development. Firstly, relative value is measured by the impact that each feature has on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into: most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on “lifesupport”, terminated or overhauled.en_US
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology. Engineering Systems Divisionen_US
dc.relation.ispartofseriesESD Working Papers;ESD-WP-2011-04
dc.titleFeature Performance Metrics for Software as a Service Offering: The Case of HubSpoten_US
dc.typeWorking Paperen_US


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