A2 · Assessment · 1-Day Workshop
One problem
worth solving.
A structured one-day workshop where senior decision-makers move from a messy, complex challenge to a clear agreed Problem Statement — grounded in customer reality and business priorities. The foundation for everything that follows.
Book a 30-minute working sessionSolution Opportunity Tree
AI ideas linked to business strategy
Prioritised Segments
Minimum Viable Segment defined
4U Problem Analysis
Urgent, Underserved, Unworkable, Unavoidable
Executive AI Brief
Fundable. Ready for development.
Why teams get stuck
In love with solutions.
Not problems.
Teams jump to solutions while stakeholders are still describing the challenge in different ways. Designers build for one customer, engineers for another. Leadership pushes a direction nobody fully questioned.
The result: meetings that produce more questions than decisions. Roadmaps that change every quarter. Six months later, the work is done — and the problem is still there. Problem Framing stops that sequence before it starts.
Stakeholders describe the challenge differently — and no one has called that out
Leadership buy-in needed before anything moves forward
The team keeps circling symptoms without landing on a root cause
Every meeting ends with more questions — and pilots no one adopts
The Workshop
One day.
Four phases.
Created by Design Sprint Academy in 2018. Google was the first client.
Phase 01
Contextualize the Problem
The team surfaces internal realities — what's broken, what's been tried, what's actually working — alongside external forces: market shifts, competitor moves, changing customer behaviour. Information is unevenly distributed across organisations. This phase gets everyone on the same page before a single solution is discussed.
What happens
Phase 02
Justify the Business Need
The team aligns around four questions: what they want to achieve, how success gets measured, what's limiting them, and what the cost of inaction looks like. Stakeholders leave with a shared definition of what winning looks like — scored by impact and reversibility.
What happens
Phase 03
Understand the Customer
Stakeholders engage directly with the customer experience — working with real data, voting on pains and gains using the PALT framework, and asking the harder question: who does the customer need to become? The Minimum Viable Segment is defined here.
What happens
Phase 04
Problem Statements
Everything converges into a prioritised shortlist of well-defined Problem Statements — then refined into AI Opportunity Statements with GPT-powered assistance. The team prioritises based on two things: how painful the problem is for the customer, and how much it matters to the business.
What you leave with
Team Training Option
Build the method
into your team.
A rigorous one-day training for up to 24 people. Your AI team learns the full Problem Framing methodology — from solution-first habits to a structured problem-first process — and leaves with everything needed to run sessions independently.
Curriculum — 5 modules
Who should attend
For teams told to
"do something with AI."
Product Managers
Own the roadmap. Ensure you're building features that solve real user needs, not just tech demos.
Innovation Teams
Structure the chaos. Turn wild brainstorming sessions into fundable, strategic initiatives.
Data & AI Teams
Stop building models looking for a problem. Connect technical capability to business value.
Digital Transformation
Bridge the gap between executive mandates and operational reality.
Design & CX
Advocate for the user. Ensure AI interventions actually improve the human experience.
Consultants & Founders
Use a proven framework to guide clients or your own startup to product-market fit.
Led by experts
Practitioners,
not theorists.
Avinash Singh
Lead Instructor
Head of AI & Innovation at Fox IT. Deep expertise in AI strategy and Design Sprints. Helps organisations translate high-level intent into practical, scalable solutions.
John Vetan
Guest Expert
Co-founder, Design Sprint Academy. 20+ years simplifying innovation for enterprise teams. Created Problem Framing in 2018 — Google was the first client.
Stop building the wrong thing
Make your next AI move
with confidence.
One day of Problem Framing costs less than one quarter of solving the wrong problem.
Book a 30-minute working session35+ years · UK registered · India operations