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.
Speed & Validation
Compress months of work into 5 intensive days. Rapidly validate AI product concepts with real users.
AI-First Design
Adapts Google Design Sprint principles specifically for AI, LLMs, and human-centred AI product design.
Real-World Execution
No theory overload. Build working prototypes, test with real users, and leave with an execution roadmap.
Who is this SPRINT For?
This workshop is designed for teams and individuals ready to move fast and
build AI products that work.
Founders &
Startup Teams
Validate AI product ideas quickly and build launch-ready prototypes.
Product &
Design Leaders
Learn AI-first design thinking and bring new capabilities to your team.
Corporate
Innovation Teams
Accelerate AI initiatives and de-risk new product development.
Consultants &
Venture Builders
Master a repeatable framework for helping clients build AI products.
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.
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.
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.
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.
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.
Problem & AI Opportunity
Define your MVP, create an AI roadmap, and plan your launch. Leave with a clear 90-day execution plan.
Day 5 transforms validated prototypes into launch-ready plans. Teams define their AI MVP scope, build a phased product roadmap with clear technical milestones, and develop go-to-market strategies tailored to AI products. The sprint closes with team presentations to a panel of mentors, and every participant leaves with a concrete 90-day execution plan, defined KPIs, and a clear path from prototype to production.
How the
SPRINT WORKS
An intensive, hands-on workshop designed for maximum impact in minimum time.
In-Person, Facilitated
Fully immersive, in-person experience led by experienced facilitators.
Small Cohort, Team-Based
Work in small teams for focused collaboration and peer learning.
Hands-On Exercises
Practical worksheets, activities, and exercises throughout each day.
Real Tools & Templates
Access to proven AI design tools, templates, and frameworks.
