AI Design Sprint The sprint has not changed. The ceiling has.

Bigger bets, stronger prototypes and richer evidence for sharper decisions.

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The AI Design Sprint — Mosaic Innovation overview cover
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The original sprint was a shortcut to learning.
AI makes the learning richer.

A Design Sprint still answers a critical business question through focused making, testing and learning.
AI raises what the sprint can produce.

Sharper framing
Broader exploration
Stronger prototypes
Better user evidence
Sharper decisions
Clearer route to action
The goal is not a shorter sprint. It is a more ambitious decision with stronger evidence behind it.

Parallel by design

Prototyping used to force a single route. AI makes it practical to carry more than one far enough to test properly.

Classic sprintAI Design Sprint
Strategic routes
One route
Multiple strategic routes
Prototypes
One prototype
Multiple prototypes
Testing
Live user testing
Synthetic pre-screen + live user testing
Synthesis
Manual synthesis
AI-accelerated synthesis
More routes where they matter.
More fidelity where it counts.
Sharper evidence for what to back.

How the sprint works

Human judgement in the room. Real users at the point of truth.

MobiliseCore sprintActivate
Pre-sprint

Mobilise

Build the evidence base and decision frame.

Day 1

Understand

Lock onto the highest-value opportunity.

Day 2

Sketch

Human first. AI stretches the strongest routes.

Day 3

Decide

Stress-test the field and choose what to build.

Days 4–5

Prototype

Build decision-grade routes in parallel.

Day 6

Test

Real users decide. AI accelerates the read.

Post-sprint

Activate

Turn evidence into recommendation and roadmap.

AI is orchestrated, not unleashed.

A sprint runs on shared context, not a room full of private prompts.

Shared context

Evidence, prompts and outputs stay visible in the same workspace.

Human-first creativity

People make the first creative leap. AI stretches and challenges it.

Real users decide

Synthetic users can pre-screen. Final evidence comes from real target users.

How we prevent AI slop
More is cheap. Better is the method.

Humans commit first. AI challenges before it creates. Every expansion ends in a cut.

What you leave with

The evidence and assets needed to decide and build momentum.

Sharper opportunity

A focused view of the strongest opportunity areas and the assumptions that still need to be tested.

  • Evidence Atlas
  • Opportunity Map
  • Assumptions to test

Decision-grade routes

A small number of strong routes made tangible enough for customers and stakeholders to react to.

  • Testable concept routes
  • Decision-grade prototype package
  • Test questions

Evidence for action

A clear recommendation backed by real-user evidence, commercial hypotheses and a practical 30/60/90 plan.

  • User Evidence Readout
  • Decision Pack
  • 30/60/90 roadmap
A team seated around a boardroom table, each holding up their own hand-drawn sketch sheet

Sprints that moved decisions

Cyber Security Sprint

Everyone agreed it mattered. Nobody had clicked buy.

Cybersecurity for consumers is a category everyone rates as important and nobody acts on until it’s too late. We designed the trigger that closes that gap, a breach-notification email with one clear thing to do next, and swapped a trading-screen interface for something simpler, almost playful, that told people plainly when they were covered. We also found the opposite of what the internal team believed: VPN wasn’t a feature for enthusiasts, ordinary customers wanted it and couldn’t get it anywhere simple.

Ink Subscriptions Sprint

The barrier wasn’t the offer. It was being asked.

Retail customers buying ink in-store, on autopilot, rejected anything that asked them to make an active decision. A discount bundled with an unrelated reward only added confusion, and a plain discount got lost as clutter. What tested well was removing the decision altogether, reframing enrolment as something already in motion, “confirm the journey” rather than “sign up”, carried from the shelf through to the moment the new cartridge went in.

The AI Design Sprint — Mosaic Innovation overview cover

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