Gaming is more complex than ever — and the learning curve is silently turning players away. I designed GameUp+ to make informal learning visible inside the spaces people already inhabit: a personalized coaching companion that reads a gamer's real-time data and turns it into a clear path to growth, without the overwhelm. Most tutorials throw players into the deep end — information overloads, bot matches with no real context, and subjective opinions masquerading as strategy. GameUp+ fills that gap: a scalable companion platform that analyzes individual playstyles, assigns meaningful roles, and delivers curated guidance that grows with the player.
The process began with market and industry research — mapping the gaming landscape, demographic shifts, and the persistent gap between what stat trackers provide and what players actually need to improve. A competitive analysis of existing solutions (forums, YouTube guides, statistical trackers) confirmed that raw data alone doesn't close that gap. Three personas — Gemma, Tyler, and Chris — then anchored the design in distinct learner profiles spanning newcomers, self-taught competitors, and time-constrained players. Concept mapping on Miro bridged learning theory with information architecture: Vygotsky's Zone of Proximal Development shaped the scaffolding logic, Dervin's Sense-Making guided how insights are surfaced, and Bates' Berrypicking informed how scattered information gets centralized. Sketches evolved into a wireframed dashboard built around the Roles system — translating a player's own data into a personalized coaching path. This case took Call of Duty as an example to create a mockup guide — the platform does not limit itself to this game or genre. Rather, it is designed to scale, providing customized guides and companions for any game in the future.