US 12,067,532 B2
Adoption content propagation based on user collaboration data
Sanjay Hemmige Ramaswamy, Redmond, WA (US); Jagadeesh Virupaksha Huliyar, Redmond, WA (US); Sreeram Nivarthi, Redmond, WA (US); Ritu Lakhotia, Kolkata (IN); Vindana Madhuwantha, Bothell, WA (US); Apurva Bharatkumar Shah, Bengaluru (IN); Ganesh Jaiswal, Bhanpura (IN); Siddarth Rajendra Kumar, Bengaluru (IN); V. S. Srujana Oruganti, Bangalore (IN); Vishnu Gajendran, Tiruchirappalli (IN); Sai Sumana Pagidipalli, Bengaluru (IN); Sunil Kumar, Bangalore (IN); Nimesh Ravindra Desai, Bangalore (IN); Nishtha Mehrotra, Uttar Pradesh (IN); Diego Fernando Suarez Castillo, Seattle, WA (US); Neha Parikh Shah, New York, NY (US); Aaron James Harrison, Bellevue, WA (US); Tannaz Sattari Tabrizi, Bellevue, WA (US); Aleksey Y. Ashikhmin, Redmond, WA (US); Carlos Andres Morales Torrado, London (GB); Amit Prem Manghani, Alameda, CA (US); and Sida Peng, Chestnut Hill, MA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on May 21, 2020, as Appl. No. 16/880,441.
Claims priority of application No. 202041015737 (IN), filed on Apr. 10, 2020.
Prior Publication US 2021/0319402 A1, Oct. 14, 2021
Int. Cl. G06Q 10/10 (2023.01); G06F 16/176 (2019.01); H04L 12/18 (2006.01)
CPC G06Q 10/103 (2013.01) [G06F 16/176 (2019.01); H04L 12/1831 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
identifying user collaboration data of a plurality of users of an application, the user collaboration data indicating durations of collaborations between one or more users of the plurality of users using the application;
computing an influencer score of a first user of the plurality of users based on the duration of collaborations between the first user and the one or more users of the plurality of users;
determining that the influencer score of the first user exceeds an influencer score threshold;
identifying a cohort of the first user based on similar organizational attributes and behavioral characteristics from operation metadata of the application of the first user;
identifying a promoted operation feature of the application, the promoted operation feature indicating a promoted use of a new feature of the application;
communicating the promoted operation feature to the application of the cohort;
measuring a rate of adoption of the promoted operation feature by the cohort by measuring how often each user of the cohort operate the promoted operation feature in the application;
generating a configuration setting of the promoted operation feature of the application for the cohort based on the rate of adoption;
applying the configuration setting of the promoted operation feature to the application of the cohort;
measuring a rate of adoption of the promoted operation feature by other users interacting with one or more users of the cohort based on updated user collaboration data and application usage data; and
rendering a graphical user interface indicating the rate of adoption by the other users.