RafBet – workshop to refine the future of smart sports betting
RafBet, powered by Hedge AI, is a pioneering platform reshaping the landscape of sports betting. It leverages proprietary technology to guide users on strategic hedging, reducing the risk of losses. The driving force behind this innovative platform is RafBet, a company committed to revolutionizing the sports betting industry. Currently, we have entered the next phase of development.
Shaping RafBet’s smart sports betting platform
In the face of the challenge to create a platform appealing to both novice and experienced sports bettors, RafBet aspired to offer a unique service setting them apart from competitors and attracting investors. While possessing a conceptual vision, they sought professional support in refining it and preparing for the development phase. Subsequently, we conducted comprehensive product workshops to crystalize our client’s vision and create a cutting-edge prototype, laying the groundwork for a successful transition into the development phase.
Journey from Vision to Prototype
Our online product workshops were pivotal in translating RafBet’s vision into a cutting-edge prototype. Through an in-depth analysis of the product and its user base, Event Storming was employed to map critical processes within the platform. This encompassed aspects like visitor monitoring, account management, subscription handling, integration of third-party payment providers, user profile management, and user onboarding. On the other hand, Impact Mapping helped us to define the project goals. After the workshops, the client received a prototype, showing the whole logic of the solution, as well as a presentation for investors. The work record was captured on the Miro board, to which the client also received unlimited access.
Day 1 – Impact Mapping
On the inaugural day, we gathered initial project information and functionality requirements. We defined the company goals, reviewed actors in the processes, and cultivated an understanding of the impact each goal would have on the necessary functionalities.
Day 2 – Deep Dive into HedgeAI
The second day involved mapping the logic behind HedgeAI and other functionalities. This deep dive allowed us to comprehend the intricacies and refine the algorithm for the solution.
Day 3 – Process Mapping and Conclusion
The final day focused on mapping all unique processes within the application. This furthered our understanding of the application and its features, providing a comprehensive overview crucial for the subsequent development phases.