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case study

Customer insights and MVPs

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.

Partner
King's Business School
Format
Four days
Who
MSc students
Course
Management and Technological Change
Students working in teams at King's Business School
in the room

Four days,
one prototype

1

Empathise and define

Research the problem and the competitors, build a user persona, and write a sharp problem statement.

2

Ideate and prototype

Generate solutions, pick one, and build a clickable prototype with AI.

3

Test

Put the prototype in front of users and capture what they do and say.

4

Refine and present

Turn feedback into changes, finish the product, and present it.

Teams building their prototypes
Teams building their prototypes
workflows taught

What the
room learned

  • AI-assisted problem and competitor research
  • User personas and problem statements
  • Prototyping an app with Claude
  • Landing pages and forms to test demand
  • Running user tests and reading the results
Perplexity ChatGPT Claude Framer Tally Canva
what people built

Built in
the session

App prototypes

Each team ended the sprint with a working prototype built with Claude, tested with real users.

Research and personas

A problem statement, a competitor scan, and a user persona behind every prototype.