Band Hub Musician Matching
An early-stage concept for adult and senior hobbyist musicians who aren't looking to go pro but want to connect with other players for the joy of playing. Today they rely on open jams, open mics, Bandmix, and Facebook groups, which are noisy, unstructured, and highly manual — and finding a match means aligning genre, playing level, location, availability, personality fit, and goals. Its founder has validated demand and started matching musicians by hand, which doesn't scale. Delivering a platform concept and high-fidelity website and iPhone app prototypes.
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Translate a validated early concept into a clear digital platform that helps adult and senior amateur musicians create profiles, express preferences, discover compatible players, and form groups or jam sessions — with structured flows from onboarding to matching to group formation that can later support AI-enabled matching.
Analyzing the platform with the Business Model Canvas and a concise competitive scan of Facebook groups, classifieds, and informal networks, including value propositions and possible monetization such as premium features, events, or subscriptions. Personas — retirees, older adults, and adult amateur musicians — built from the founder's manual matching experience and stakeholder discussions, with empathy maps and a journey from discovery through sign-up, profile, preferences, and matching to forming a group or jam session. Experience design and UI/UX prototyping only; production software, AI model development, backend, and App Store deployment are excluded.
A user-centered website demonstrating basic onboarding, profile creation, and conceptual matchmaking, and a high-fidelity iPhone app prototype that looks close to a real app, built on matching inputs such as instrument, genre, skill level, availability, location, and collaboration goals. A concise documentation package covers personas, journeys, key features, assumptions, and a recommended roadmap, including how a future AI-powered matching engine could fit the designed flows.