Shared method
Training
Your team learns how to use Pretotyping to turn ideas into hypotheses, set pass thresholds, and decide what evidence would change the decision.
1 day · on-site or remote
AI has made it easier to build. It has not made it easier to know what deserves your team's time. I help enterprise teams turn ideas into evidence before they commit people, budget and momentum.
The work usually starts with too many good ideas and not enough evidence. The aim is to create a clear path from "we think" to "we know enough to act".
ASX-listed enterprise group Regulated enterprise
A product and innovation team needed a way to test ideas safely in a regulated environment. Within 12 months, they had a cadence for live experiments, clearer investment decisions, and a system the team could keep running.
130+ live tests
8 days idea to data
8X program ROI
"The mindset did and I'll take that into every future role."
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PEXA Group FinTech · ASX
PEXA started small, built the rhythm, and then put experimentation onto the company scorecard. The result was a shared language for deciding which ideas deserved more investment.
50 pretotypes
300+ people
100 annual goal
"Saved our organisation $200,000 before lunchtime on day two."
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ANU Education · research
ANU used pretotyping to move from discussion to evidence. The team ran short experiments with students, learned quickly, and built confidence in the ideas worth taking forward.
45 experiments
12 wks pilot cycle
1 in 6 students used bot
"We can pick out ideas that we know have a better chance of success."
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Leslie Barry
Founder · CEO
AI has widened the possible. That makes choosing well more valuable, not less.
I work with teams who already have ideas, ambition and pace. My job is to help them get to customer evidence quickly enough that the good ideas can be backed with confidence.
The method is called pretotyping. Alberto Savoia created it at Google. Stanford teaches it. I've spent the last eight years turning it into something that works inside large companies, with procurement cycles, change-management problems and leaders who need a clear evidence trail.
Leslie Barry
Google-trained · Stanford lecturer · 50+ enterprise teams
The work is practical. We take real ideas from your backlog, turn them into testable hypotheses, run experiments with customers, and make the next decision visible. Most clients start with a sprint.
Shared method
Your team learns how to use Pretotyping to turn ideas into hypotheses, set pass thresholds, and decide what evidence would change the decision.
1 day · on-site or remote
Real backlog
We pick a small set of live ideas from your backlog and run experiments against actual customers. I'm in the room.
2 to 4 weeks · hands-on
Evidence trail
The tools keep the logic visible: the hypothesis, the experiment, the result, and what the team learned before the next decision.
Ongoing · per company
Operating rhythm
The work becomes a rhythm: design sessions, experiment check-ins, result reviews, and a clear path for the next idea.
Month 2 onward
Note May 2026
The hard part is no longer the building. It is still knowing whether any of it matters to the people using it.
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Note April 2026
20% of my operations are running through AI agents. What that taught me about the difference between building and choosing.
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Note March 2026
If AI can ship anything we ask for in a weekend, the bottleneck moves. The question becomes which experiments are worth running.
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Newsletter · fortnightly
Things I'm learning from inside the companies I work with. Short, honest, and never a pitch. About 1,200 readers.
In 20 minutes we can talk through the idea, the evidence you already have, and whether pretotyping is a useful next step. No pitch. Just a practical conversation.