Design AI experiences

Validate ideas in weeks not months

identify and organise data card
undertake basic tasks
can read tasks
Have a conversion task

AI Design Sprint is a product innovation process built on top of Google Design Sprint principles to help ideate & design AI experiences.

AI design sprint requirements image

How it works

Problem framing image

1. Problem Framing

Identify the users, their needs, wants, desires and user journeys where there are opportunities to plug-in AI.

concept development image

2. Concept Development

Map-out the current process and use AI cards to generate divergent solutions and develop multiple AI concepts.

solution image

3. Solution

Evaluate multiple solutions, remodel the process using concepts and define possible value deliverable to users.

ethic check image

4. Ethics check

Checks AI concepts ethically using our AI Ethics Cards to take conscious design decisions aligned with principles of transparency and fairness to reduce risk.

After the
AI design sprint

Get your engineering team debriefed with us to assess
solutions from the technical perspective by identifying:

- Data owners, Data sources and its quality
- Tech feasibility and budgets
AI design sprint image

Key benefits

Develop AI solutions with all your decision-makers

Identify how AI can plug-in to your product

Align with all key stakeholders

Co-develop user-centric and ethical AI solutions

Get an understanding of what can be achieved with AI today

Speed up your AI projects through guided decision steps

Get buy-in from stakeholders and future users

Develop holistic AI solutions for your business

Want to run an AI Design Sprint 
with your team?

Choose which cookies we can use. You can change this any time from “Privacy choices” in the footer.