FantaGoat
Fantagoat is a startup born by the encounter of ZonaFanta, an Italian community of 150k fantasy football lovers, and Wallabies, a company that works with football clubs - among which Serie A teams - to help them during the scouting, providing data based on Artificial Intelligence and Machine Learning. Together we started crowdfunding and raised around €135k, to create a platform that helps Italian fantasy football managers choose the right players to field each weekend, providing AI-based data.
Logo Design
The naming Fantagoat comes from the combination of 'Fanta' referring to fantasy football and 'Goat', a football term used to define 'Greatest Of All Time' footballers.
We focused on the double-meaning of Goat to come up with the logo and identity of the startup. Indeed, the creative process led us down the road to creating a mascot (a goat of course), with an ironic personality and with particular references to the world of football, such as the raised eyebrow, trademark of Carlo Ancelotti.
User Research
Before starting the creative process of UX design, I organized a design discovery session with some of Fantagoat's internal team members with different job positions, to understand what their application idea was and to define goals together.
The research session was divided into four different phases:
The first phase is the preliminary part, in which the team was asked questions to understand each other's ideas, limitations and goals.
During the second phase, we jointly created a map of the actors who might be interested in the app or who would be indirectly affected by it.
Taking a profile interested in the app as a reference, we created together a user persona by defining possible targets, needs, and pain points.
Analysing the user personas, we hypothesised together a possible customer journey by defining the key moments, needs and emotions of the person, before, during, and after the use of the platform in question.
As a last step, we hypothesised possible features that could solve the user's needs and then placed them within a table in order to define the value, both for the business and for the user.
User flow and MPV Wireframes
After having outlined the main features together with the team, I built a user flow on Figjam and subsequently expanded by building low-fidelity wireframes to evaluate and validate the interactions between pages.
