If yes, do you have any tips and tricks for AI Prototype Planning session or for guiding the team through the AI solution development? Thanks in advance for your advice.

Do you feel like your 🧠 brain turns to mush during a long workshop? Juggling new faces, complex problems, and tons of information can be overwhelming for a facilitator. Here's my new article for memory hacks. What do you think? Any memory hack you would like to add to the list? https://www.designsprint.academy/blog/remember-everything-memory-hacks-for-workshop-facilitators

Design Sprints - overrated for designers? We were just debating this at the Academy, and John Vetan wrote a whole article on why they might be failing the early adopters: Designers. What do you think? https://www.designsprint.academy/blog/design-sprints-exposed-why-they-are-failing-designers

Introducing a new framework inspired by the Product Market Fit Cycle - Carlos Eduardo Espinal, that focuses on creating customer-centric value propositions for Product Managers or Innovation Managers. Here's a breakdown of our framework: 🏁 Goal/Need: This initial step could be a specific business need, a broader north star goal, or even just an initial idea. 1. Product Hypothesis: Leveraging your understanding of the problem, business context, and past experiences, you develop a solution proposition – the hypothesis of what your product will be. 2. Ideal Target Segment: Here, data and analysis come into play. You refine your target customer segment to a specific group with the highest potential to benefit from your product hypothesis. 3. Problem Framing: This stage involves getting key stakeholders on board. Together, you define the specific problems your target segment faces, prioritize them, and identify the most crucial one your product will address. 4. Define the Value Proposition & Validate with Customers: This is where the Design Sprint happens. You rapidly create a prototype, present it to real users within your ideal target segment, and gather feedback. This stage validates whether your proposed solution (value proposition) actually solves their core problem effectively. 5. Analyze Results: You then assess the feedback from the design sprint. If there's early validation from customers – meaning they find your solution desirable and addresses their needs – you can move forward. ↗ Create Business Case: With positive validation, you can build a business case that justifies the resources needed to bring your product to market. ↘ Go Back & Iterate: With no customer validation, you'll investigate more about the root cause of the problem. Was you hypothesis wrong? Was your target customer segment wrong? or Both?

In this article , @John Vetan shared more about the 4U framework https://sprintforward.designsprint.academy/p/the-4u-framework But, what I'm very curious to know is if you have used it in a workshop with your clients? And if so, in what specific context? We are now rolling it out as part of our Innovation Hackathon formula, where we get together with key-stakeholders and prioritize challenges to address during the innovation days. What is your experience with it?