Hey Design Sprint Masters, As facilitators, we all feel the pressure: workshops only matter if teams act on them. That led me to a basic rethink: what does a facilitator do in an AI-heavy organization? Over the past few months we’ve been shaping what we call the AI Facilitator—along with the tools and methods to help teams make AI decisions with a clear process. In Berlin this month, we’re sharing what came out of that work. It’s the biggest change we’ve made to the Design Sprint format. We’re not calling it a Design Sprint anymore. We call it the AI Workflow Sprint. Why? Because most organizations exploring AI aren’t trying to design new apps. They’re trying to redesign how work gets done: - Where AI should help or take over - Which use cases are worth building So the sprint starts with a real workflow, not a product idea. During the sprint, teams: 1. Map the current workflow 2. Spot where AI could change the process in a meaningful way 3. Redesign the workflow with people + AI together 4. Prototype the new experience 5. Test it with users We kept the core rhythm—diverge, then converge. But the thing you’re designing is the workflow, not just an interface. We’ll teach this for the first time in our AI Facilitator Training in Berlin this month. You should join: https://learn.designsprint.academy/AI-facilitator-training Unfortunately the early bird discount of €500 expires tonight. Until then you can still use code EARLYAI at checkout for €2,000 instead of €2,500.

Sometimes the best customer insights are hidden behind workarounds, hacks, substitute solutions. That’s why we created P.A.L.T. at Design Sprint Academy. It helps teams see the unseen — the less obvious problems — and explore territory where competitors aren’t. Proof: Claude Cowork Anthropic didn’t build Cowork because users requested it. They built it because they watched users hack Claude Code (a developer tool) to handle everyday tasks they couldn’t quite describe yet—like organizing files or planning trips. That’s a Painful + Latent sign. What P.A.L.T. stands for: P (Painful): → A problem that hurts, costs time, money, or trust. A (Aspirational): → A desire or wish that would feel good to achieve, but not critical. L (Latent): → A hidden issue or desire the user hasn’t yet recognized or can’t clearly express. T (Top of Mind): → Something the user is already aware of and actively thinking about (or actively looking for solutions). We use P.A.L.T. inside our AI Problem Framing workshop as a filter before teams commit to solutions. It helps them ignore, for a moment, the Top-of-Mind problems (where competitors also focus) and spend time where they can make a unique difference: Painful + Latent. I wrote a deeper breakdown of how Claude Cowork maps to P.A.L.T. (and how to replicate their way of thinking). https://www.designsprint.academy/blog/p-a-l-t---the-framework-anthropic-accidentally-proved-with-cowork Hope you'll find it helpful.

We have officially opened the agenda for next year's AI Facilitator Bootcamps. If you are ready to move to bridge the gap between AI ambition and execution—this is where it happens. We are keeping the cohorts small and the work hands-on. Join us in Berlin or New York: 👉 https://learn.designsprint.academy/AI-facilitator-training

I’m dropping this here before we blast it on social media because I want this community to see it first. We're launching the AI Problem Framing Facilitator Stack. It’s a complete kit to help you run the exact 1-day scoping workshops we run for our corporate clients. It is not a course, just the tools to get teams to clear, fundable AI use cases. What’s inside: - ✅ 150+ Slides (Editable) - ✅ Minute-by-minute Agenda - ✅ The Playbook & Scripts Grab it here: https://www.designsprint.academy/product/ai-problem-framing-facilitator-stack

If you want to master the art of aligning stakeholders and framing problems, this is the time to jump in. We’ve dropped the price of our full course from €1,499 to €299—but only for a few more hours. Get the full facilitation system here: 👉https://problem-framing.com