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Learn to Win: An ROI clients will not regret!

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Four students pose in front of a bright orange wall

Team members
Ayman Babikir, Trey LaBounty, Kevin Longoria, Sergio Romero

Faculty mentors
Profs. Ramesh Johari and Riitta Katila

The organization
Learn to Win is an education technology (Ed-Tech) company founded by two Stanford MBA students in 2018. Learn to Win seeks to make training fast, easy, and effective for their clients, who are typically sports teams, by providing digitalized playbooks and lessons that can be accessed through a mobile device.

Learn to Win logo

Project description

We decided to highlight, both quantitatively and qualitatively, the return-on-investment (ROI) clients receive when partnering with Learn to Win. We chose this focus because many factors play a part in the success of a team, from training methods and tactics to the inherent talents and skills of its members. Learn to Win can find it difficult to isolate their impact amongst these factors and effectively communicate the value-add of their platform. Our project involved creating a case study of a football team's ROI using Learn to Win. It is important for Learn to Win to have this case study as an example because, if the platform's value is clearly communicated, clients will be more inclined to continue using Learn to Win.


In order to calculate Learn to Win’s ROI, we first had to quantify its impact on performance, which is where our statistical modeling was implemented. We ran a model where we compared users of Learn to Win against non-users by looking at key metrics of football performance. Beyond this quantitative approach, value can also be discovered through interviews with users, as their perspectives provide anecdotes about interactions with the product and can provide insight into the validity of our statistical findings. We recommended that Learn to Win increase their high school market share and expand their qualitative data metrics.

Techniques and models used

  • Diff in diff analysis with synthetic controls for post intervention of Learn to Win between power users and synthetic control.
  • Linear regression analysis for key metrics that have statistical significance with regards to win percentage.
  • UX research for understanding client usage of Learn to Win platform.

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2022 senior projects