A sponsor who creates space
Someone senior who gives room, budget and cover. Seven people put this first. One added that sponsorship only works if there are consequences when big decisions skip the evidence.

A webinar for Product, Growth & CRO Leaders
Starting where you are
Healthy data-driven cultures with Experimentation don’t come
with a five-step instruction manual.
Learn how to put the right pieces together
to create growth.
With Ruben de Boer & Lucia van den Brink
Together built 100+ Experimentation Programs.
Not another framework
You’ve heard it on stages and read it in playbooks: do these five things, and you’ll build an experimentation culture.
But organisations aren’t identical. Neither are their people, priorities or starting points. A framework can tell you where you are. It can’t tell you exactly how to move forward.
“It’s not a ladder of steps.
It’s a jigsaw puzzle.”
You might start with the edges. Or build a small island in the middle. What matters is understanding which pieces you have, and which one to connect next.
The four cornerstones
Across our work and the experts we surveyed, these are the edge pieces we kept coming back to.
Someone senior who gives room, budget and cover. Seven people put this first. One added that sponsorship only works if there are consequences when big decisions skip the evidence.
A goal or problem that experimentation helps solve. Five people put it first. Tie your first tests to a business problem or debate that is already on the table.
A testing tool that works, tracking that has been checked, and metrics the business agrees with. Nobody ranked data low, and it was the pain people mentioned most.
A team with questions it really needs answered, and one person who knows the craft and can explain results in plain language. Ideally that person knows the organisation and who to call. “Start small” came up again and again.
What you’ll take away
A different lens on building experimentation in-house, and a clearer sense of where to focus next.
For Product, Growth and CRO Leaders building an experimentation programme, finding their footing, or wondering why their current approach has stalled.
Recognise the conditions, constraints and opportunities that shape experimentation in your organisation.
Use frameworks to diagnose where you are, rather than follow a sequence that ignores your context.
Bring leadership, people, goals and tools together to build a healthier data-driven culture.
Meet your hosts
Ruben and Lucia bring 25+ years of combined experience working with large brands. They’ve seen what works, what stalls, and what it takes to build experimentation into everyday decisions.

Ruben helps organisations build experimentation cultures and turn evidence into better decisions.
Experimentation culture · Evidence-based decisions

Founder of The Initial. Lucia helps brands bring experimentation in-house, connecting people, priorities and learning to build programmes that fit their organisation.
In-house experimentation · Data-driven growth
Your next piece starts here
Join The Initial for a webinar on building healthy data-driven cultures that create growth. Pick your date.
Monday · 15:00 / Amsterdam (CET)
Friday · 16:00 / Amsterdam (CET)
9 & 13 November 2026 · Online · For Product, Growth & CRO Leaders
A few things to know
No. The puzzle starts where you are. The webinar is relevant whether you’re exploring your first experiments or working through the challenges of an existing programme.
Both sessions are in Amsterdam time (CET, UTC+1): Monday 9 November 2026 at 15:00 and Friday 13 November 2026 at 16:00.
We would rather you know before you save a seat. This session is probably not for you if:
At that stage a handful of sharp, founder-led tests usually beats a programme. Come back when there are more people and more moving parts to align.
The puzzle is about making experimentation part of how decisions get made every day. If that isn’t the ambition, there is little here for you.
This is a thinking session on culture and context, not a hands-on clinic on tooling, test set-ups or statistical significance.