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  • April 2020
  • Case
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Ment.io: Knowledge Analytics for Team Decision Making

By: Yael Grushka-Cockayne, Jeffrey T. Polzer, Susie L. Ma and Shlomi Pasternak
  • Format:Print
  • | Language:English
  • | Pages:11 
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Abstract

Ment.io was a software platform that used proprietary data analytics technology to help organizations make informed and transparent decisions based on team input. Ment was born out of founder Joab Rosenberg’s frustration that, while organizations collected ever increasing amounts of data, the information gathering process did not capture human insights, which he viewed as critical to the use of the data. In early 2020, Rosenberg felt that the company he had started five years ago was taking off, but he wondered how to manage the team’s limited engineering resources to help Ment stand out in a crowded software market. Should the company improve Ment’s user interface, develop new features, or focus on its innovative algorithm?

Keywords

Decision Making; Technology; Knowledge; Knowledge Acquisition; Knowledge Management; Operations; Information Management; Product; Product Development; Entrepreneurship; Business Startups; Communications Industry; Information Industry; Information Technology Industry; Web Services Industry; Middle East; Israel

Citation

Grushka-Cockayne, Yael, Jeffrey T. Polzer, Susie L. Ma, and Shlomi Pasternak. "Ment.io: Knowledge Analytics for Team Decision Making." Harvard Business School Case 420-078, April 2020.
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About The Author

Jeffrey T. Polzer

Organizational Behavior
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