App prototypes
Each team ended the sprint with a working prototype built with Claude, tested with real users.
A four-day design sprint inside the MSc in Management and Technological Change at King's Business School. Teams research a real problem, prototype a product with AI, test it with users, and present the result.
Research the problem and the competitors, build a user persona, and write a sharp problem statement.
Generate solutions, pick one, and build a clickable prototype with AI.
Put the prototype in front of users and capture what they do and say.
Turn feedback into changes, finish the product, and present it.

Each team ended the sprint with a working prototype built with Claude, tested with real users.
A problem statement, a competitor scan, and a user persona behind every prototype.
We run the same format for growth teams, on your own work and your own tools.
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