AI-Powered Micro Design Sprint: From Problem to Testable Concept

Kaiah Sherriff · 2026-08-24T02:52:23.677Z

This practical, hackathon-style workshop helps SMEs and teams use generative AI to explore a real business problem and rapidly turn it into a testable solution concept. Hosted by academyEX and facilitated by Felix Scholz, AI workshop facilitator and educator. Participants can work individually or in table groups. Using a guided prompt pack and AI Problem Framing Canvas, they will move through a practical 9-step micro design sprint. Generative AI tools are used throughout the process to help participants understand the problem, generate ideas, develop a solution and test it before sharing the outcome. The 9-step sprint process: Identify the problem: Choose one business problem, growth opportunity or customer pain point. Define users and needs: Identify the users, their pain points and the outcome they are looking for. Brainstorm solutions: Use generative AI to explore a range of possible solution concepts. Select a concept: Choose the idea that best addresses the problem and take it forward. Outline the features: Use AI to define the core features, process steps and interactions. Mock up the solution: Turn the concept into something tangible using AI tools, such as a visual mock-up, workflow or simple proof of concept. Test with synthetic users: Use synthetic personas to challenge the solution and identify gaps, objections and possible improvements. Define the value proposition: Capture the value of the solution in one clear sentence. Show and tell: Share the concept and prototype with the group as part of a short two-minute pitch. By the end of the sprint, participants will have moved from a real problem to a tangible and tested concept they can take back into their organisation and continue developing. 28 October | 3 - 6 PM | academyEX Grab tickets here

AI-Powered Micro Design Sprint: From Problem to Testable Concept

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AI-Powered Micro Design Sprint: From Problem to Testable Concept

AI-Powered Micro Design Sprint: From Problem to Testable Concept