Oddschecker
Optimising Odds Diffusion
Following a significant amount of complaints and user confusion about odds diffusion, Oddschecker wanted to optimise the odds diffusion feature and make the diffusion logic more clear for customers.
The study looked at two diffusion logics: diffusion based on 12am odds and diffusion based on preceding odds. The research goal was to obtain qualitative and quantitative data about how users understand odds diffusion and how the feature could be improved.
Platform
Oddschecker Android Mobile Application
Oddschecker iOS Mobile Application
Year
2019
Research Outline
Stakeholder Workshop
In-depth User Interviews
Usability Testing
Research Approach
Stakeholder Workshop
The research brief that I received had several knowledge gaps. Therefore, I conducted an internal stakeholder workshop in order to define research questions and hypothesis.
In-Depth User Interviews
The stakeholder workshop was followed by user interviews. We interviewed 10 individuals with some experience in betting. Some of the individuals were familiar with our product while other used other betting products such as SkyBet, William Hill and Bet365.
Usability Testing
I also ran two unmoderated remote user testing sessions with 10 individuals. Similar to the user interviews, the individuals were screened on their knowledge about betting and odds comprehension. The participants were invited to go through a series of tasks to find out how easily they could navigate around the new onboarding process. The usability testing sessions differ from one another simply on the odds behaviour.
