5 days in person & online
Venture Sprint Design, Validate & Test AI Products
Expert‑led facilitation for cross‑functional teams ready to turn AI ambition into scalable solutions.
WHAT IS THE AI DESIGN SPRINT?
The AI Design Sprint is an intensive 5-day workshop that adapts the proven Google Design Sprint methodology for AI-first product development. Perfect for teams looking to design, prototype, and validate AI products rapidly—whether you’re building with LLMs, machine learning, or automation.
Who is this SPRINT For?
This workshop is designed for teams and individuals ready to move fast and
build AI products that work.
- Sprint Outcome
What You'll WALK AWAY WITH
Leave the sprint with tangible deliverables and a clear path to launching your AI product.
01
Validated AI Problem & Solution
A clearly defined problem statement and validated AI solution approach.
02
Tested AI Prototype
A working, user-tested prototype that demonstrates your AI product concept.
03
Prompt & System Logic
Refined prompts and AI interaction flows ready for development.
04
User Insights
Real feedback and usability data from live user testing sessions.
05
90-Day Execution Roadmap
A clear action plan with milestones to take your AI product to launch.
5-DAY SPRINT CURRICULUM
An intensive journey from problem to launch-ready AI product. Each day builds on the previous, with hands-on exercises and real deliverables.
- Day 1 / 5
Problem & AI Opportunity
Frame the right problem and identify high-leverage AI opportunities. Map users, understand pain points, and define where AI can create the most value.
Day 1 sets the foundation for the entire sprint. Teams align on the core challenge, map the end-to-end user journey, and conduct structured interviews to surface real pain points. Using AI opportunity scoring frameworks, participants identify where machine learning, natural language processing, or computer vision can deliver outsized impact — separating genuine AI use cases from hype.
- Problem framing
- User mapping
- AI use case identification
- Opportunity assessment
- Stakeholder alignment
- Pain point prioritisation
- Day 2 / 5
Ideation & AI System Design
Explore AI product patterns and sketch solutions. Design AI architecture with human-in-the-loop considerations for trust and usability.
Day 2 unleashes creative thinking within technical constraints. Teams explore proven AI product patterns — from recommendation engines to conversational agents — and sketch bold solutions using Crazy 8s and structured brainstorming. The afternoon shifts to system design: mapping data flows, choosing model architectures, and designing human-in-the-loop workflows that build user trust while maintaining AI accuracy.
- AI product patterns
- Solution sketching
- AI architecture
- Human-in-the-loop design
- Data flow mapping
- Model selection strategy
- Day 3 / 5
Prototype & Prompt Enginnering
Build a high-fidelity AI prototype. Master prompt design and create compelling AI interaction flows.
Day 3 is where ideas become tangible. Teams build high-fidelity AI prototypes using no-code tools. Participants master advanced prompt engineering techniques — including chain-of-thought reasoning, few-shot learning, and system prompt design — to create AI interactions that feel intelligent, reliable, and delightful. By end of day, every team has a working prototype ready for real user feedback.
- Prompt design
- AI interaction flow
- High-fidelity prototyping
- Understanding of LLM
- Chain-of-thought prompting
- No-code AI Tools
- Day 4 / 5
User Testing & Validation
Test your AI prototype with real users. Capture trust signals, usability insights, and iterate based on feedback.
Day 4 puts prototypes in front of real users. Teams conduct structured usability tests, measuring not just task completion but AI-specific signals: trust, transparency, perceived intelligence, and error recovery. Participants learn to distinguish between UX friction and AI model issues, synthesise qualitative feedback into actionable insights, and rapidly iterate their prototypes based on what they learn.
- Live user testing
- Trust & usability signals
- Insight synthesis
- Rapid iteration
- AI error handling
- Feedback capture grids
- Day 5 / 5
Go-to-Market & Execution plan
Test your AI prototype with real users. Capture trust signals, usability insights, and iterate based on feedback.
Day 4 puts prototypes in front of real users. Teams conduct structured usability tests, measuring not just task completion but AI-specific signals: trust, transparency, perceived intelligence, and error recovery. Participants learn to distinguish between UX friction and AI model issues, synthesise qualitative feedback into actionable insights, and rapidly iterate their prototypes based on what they learn.
- MVP definition
- AI roadmap
- Launch planning
- Scaling strategy
- 90-day execution plan
- Partnership & Investory readiness
How the SPRINT WORKS
An intensive, hands-on workshop designed for maximum impact in minimum time.
Accredited by CPD Standards
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Structured programmes aligned with CPD standards, focused on practical capability-building, professional growth, and measurable career progression.
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