The engagement in detail
One-Day AI Product Opportunity Sprint
Find the best AI product opportunity for your business and turn it into a testable concept, all in one focused day.
How it works
Before the sprint
Preparation for your specific business context
Quinn begins with a sponsor interview and a focused review of relevant materials: product strategy, customer research, current workflows, existing AI concepts, and known constraints. Up to four pre-sprint conversations with stakeholders are scheduled so the day is spent on a real opportunity.
PART 1 (3 HOURS)
Identify and prioritize
The team clarifies the customer problem, examines the current experience, generates potential AI interventions, and evaluates the most promising opportunities against customer value, strategic fit, feasibility, trust, and risk.
PART 2 (3 HOURS)
Define and make tangible
The strongest opportunity is developed into a clear product concept or experience prototype. The team names key assumptions and risks, and builds a plan for validating them.
After the sprint
Readout and next moves
Documented outputs are delivered to your team, followed by an executive readout with Quinn covering the recommendation, open risks, and the decisions needed next.
Who it's for
Built for the cross-functional table where AI decisions get made.
Across industries, this sprint is designed for these teams.
Digital Product Development
Product executives and managers, engineers, and technical leads who need to turn AI ambition into a shippable, testable plan.
- Feasibility and architecture reality
- Prioritization under resource constraints
- Clear concept and validation roadmap
Innovation & Transformation
Leaders accountable for what gets funded next: innovation officers, transformation leads, and executive sponsors.
- Strategic fit and portfolio clarity
- Executive-ready recommendation
- Defensible investment narrative
AI Experience Design
Teams shaping how AI is felt by customers: interaction patterns, trust signals, and the human-AI handoff.
- Interaction and conversation design
- Responsible-AI and accessibility review
- Prototype-to-experience validation
Bring six to twelve decision-makers.
The value compounds when product, design, engineering, and risk are in the same room for the full day.
Format and investment
- In person or virtually as one full-day working session
- Virtually across two focused half-days
The Progress Design Labs team is based in Amsterdam and available globally. In-person engagements in the UK and EU are offered regularly. A limited number of in-person US engagements are available each quarter, so please ask about availability.
$15,000