One problem worth solving.
One team behind it.
A one-day working session that turns a complex challenge into an agreed problem statement grounded in customer reality and business priorities.
Fox IT India / AI Problem FramingSolutions are easy to love before the problem is clear.
When stakeholders describe different challenges, teams can build a polished answer to the wrong question. Problem framing creates shared language, a priority segment and a brief worth acting on.
Make the next commitment with the evidence in view.
The workshop creates a decision boundary. The team agrees which customer or employee problem matters, why it matters to the business, and what AI could plausibly change. Ideas that cannot meet those tests are parked early; the surviving opportunity is clear enough for design or engineering to examine.
How the work actually happens.
The sequence is adapted to the challenge, while each decision and output remains visible to the people who will own the result.
Collect the ideas
Bring every current AI suggestion, mandate and pilot into view. The group first separates proposed solutions from the problems they claim to solve. This prevents the loudest idea from becoming the default simply because it arrived first.
Connect to business goals
For each problem, identify the business measure it could affect and who owns that measure. Ideas without a relevant goal can be parked. Ideas with a strong goal need a more precise view of the person experiencing the problem.
Choose the segment
Define the specific customer or employee group for the first test. Map the painful moments in their journey and check which problems are urgent enough to change behaviour.
Map the context
Look at the workflow, available data and decisions around the problem. The team writes opportunity statements before choosing a technology, keeping several possible responses open.
Stress-test the use case
Examine value, feasibility, data availability and the effort required to change the work. A surviving idea becomes a short use-case card with an owner, a measure of success and a clear next test.
Method lineage and further reading: view the source methodology ↗
A brief that can guide real work.
The result is a clearer decision and work your team can use after the engagement.
Problem statement
A concise, agreed description of the challenge and the people affected.
Opportunity tree
A visual link between business goals, needs and possible interventions.
Priority segment
A focused minimum viable segment for the next test.
Decision brief
A practical basis for investment, design or an intentional stop.
Documents and evidence that travel with the work.
Every deliverable has a purpose in the next decision. Fox IT will agree the exact format with your team before the engagement begins.
Problem statement
A precise description of who has the problem and why it matters.
Use-case cards
A short record of the proposed AI role, business goal, constraints and next test.
Parked ideas list
Ideas that did not pass the first decision, with the reason visible rather than forgotten.
Next test brief
The evidence needed before committing to a prototype or workflow sprint.
The right people need to shape the answer.
Sponsors and cross-functional teams told to move on AI but still debating what problem to solve.
- Business sponsor and decider
- Process or product owner
- Customer or employee representative
- Technology, data and risk partners
The strongest workshops start with a business goal, a list of live ideas and some evidence about the affected customer or employee. Fox IT can help gather the inputs and identify the people who need to make the decision in the room.
Choose the level of support the team needs.
Facilitated framing
Fox IT prepares the challenge and leads the working session with the decision makers.
Team enablement
A training format teaches internal facilitators to run the method and use the resulting briefs repeatedly.
Questions to settle before you begin.
Good work starts with clear expectations about scope, people, evidence and the decision at the end.
Do we need a finished AI strategy?
No. A clear business goal is enough to begin. The workshop is often the bridge between broad AI intent and a use case that can be tested.
What if several use cases survive?
The team can rank them by business importance, feasibility and the evidence still missing. The goal is a defensible shortlist, not an arbitrary single winner.
Is one day enough?
One day is enough for a focused decision when the right inputs and people are prepared. Research and stakeholder alignment before the session may require additional time.
How does this relate to Design Sprint Academy?
Fox IT's approach draws on established Problem Framing and AI Problem Framing practices from Design Sprint Academy, adapted to the client's context and the 4A path.
Ready to explore AI Problem Framing?
Talk through your challenge with a senior Fox IT consultant and choose the right next step.