Dare Lawanson, a young entrepreneur from Nigeria envisioned to create a football prediction platform that would help user predict the upcoming match results. However, Lawanson wanted to launch the website ahead of FIFA world cup 2018. Our team readily took the challenge, since we had experience with Nigerian demographic ahead, in order to create a football prediction website . The fruits of our labour paid off when Refpredictor won the Best Startup Award in June 2018 in the region.
Can we launch this football prediction platform a month before FIFA 2018?
Our team was happy to receive extremely specific requirements from Mr. Lawanson and therefore was confident to meet the timeline. Though Mr. Lawanson had extremely specific and complicated logics for the prediction platform development, our team worked in perfect harmony with his team to make it happen.
We need a team that would understand Nigerian football fans in a way so as to incorporate their areas of interest in the application.
We have created apps for Nigerian market before and so we are well-versed with user preferences.
We want to launch the app ahead of FIFA World Cup. It’s already too late but we have to launch it before the world cup.
We can do football prediction app development within that timeframe and help you get initial users.
The application needs to be designed with my set of logics and specifications.
We will work like your own team and keep our communication channels always open. We are sure we can collaborate together as per your needs.
User can predict matches. It is as simple as that. We have implemented set of questions of each match, there are total 12 questions. For each correct answer user will get 1 one point till 11th question, for 12th question which is for final score of the match, user will get 4 points.
The admin can assign all the FIFAWC matches to a particular round. The Leader board is according to each round. For every round there is different leader board. There is one final leader board of the season.
There are more analytics tabs like Performance & Results, from where users can see their performance match wise and round wise.
The distribution system of prizes goes round wise and the grand prize is for the season. Te prize distribution is automated once the Admin marks the round as complete from back-end. Users can withdraw the amount by requesting the admin. Upon approval they will get the amount in their bank account.
I want to try out my luck in predicting the outcomes of FIFA World cup games.
I want to compete with other users in predicting the outcomes of World Cup FIFA matches.
Is there a way to earn money on a prediction platform where I can use my knowledge of FIFA to predict matches?
Team Vinfotech aimed at creating a rewarding and exciting FIFA-focused football prediction platform that would encourage Nigerian audiences to join and play.
We compared Nigerian demographics with traditional soccer demographics such as UK and Spain in order to compare interests. Then we studied the market for a football prediction platform in that region and validated the idea.
Our user demographic profiles spanned across Nigeria as we interacted with users through several online surveys to see what they prefer in predictions. We compared these with our older user demographic surveys just to see the changes in the patterns of preferences.
We then created an assessment document that we would use to refer and go back to whenever needed during the project cycle.
We had several calls and video conferences with the client in order to understand the various needs and requirements. Our teams interacted with him personally for better understanding.
Refpredictor was to be a prediction platform on FIFA World Cup. We had to keep the design simple yet appealing and easy to use. We presented a few fireframes that gave the client complete confidence in the app.
By now, our team was clear about the vision and the user demographic, so we set out to create designs. Our design process went on smoothly most of the time.
We conducted a thorough quality analysis for user experience along with working on various aspects of the prediction platform.
Our developers, as always, went back to user stories each time they felt stuck. They also interacted freely with the client through our project manager.
Soon the beta version was ready and our client felt we had met his expectations.
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