How to use the AI Problem Framing Canvas

Do you have a backlog full of AI ideas but no clear way to decide which ones are worth building?

If you are an innovation leader, product leader, or an AI facilitator trying to help teams build smarter with AI, your problem isn’t generating ideas—it’s filtering them.

By now, you (or your clients) likely have an "AI Funnel" overflowing with hundreds of inputs: a mix of technical jargon, unfeasible moonshots, and vague suggestions.

You cannot prioritize what you cannot compare.

At Design Sprint Academy, we built the AI Problem Framing Canvas to solve this exact problem. It is a filtering mechanism designed to turn a messy list of 300+ use cases into standardized, decision-ready opportunities.

Join us in 2026 for this practical walkthrough. We will show you how to force every idea—no matter who pitched it—into a consistent format so you can compare "apples to apples" and prioritize effectively.

What we will cover:

• 🧩 The Framework: What is the AI Problem Framing Canvas?
• 👥 The Process: Who uses it, when, and how to deploy it asynchronously.
• 🛠️ Live Demo: A step-by-step Miro walkthrough of the critical flow: Idea → Current State → Gap.
• 🚀 The Facilitator’s Edge: How to use this tool to expose data gaps and risks early.

Stop drowning in ideas and start prioritizing value.

👇 Don't have the canvas yet? Download the free PDF & Miro template here so you can follow along: https://www.designsprint.academy/free-templates/the-ai-problem-framing-canvas

See you there!