For heads of product, insight and CX
AI makes insights and prototypes faster to produce.
The value is still in knowing what to act on, and seeing it through.
Lead the function, get more from your AI, or decide where it fits. Start wherever you are, with clear outcomes agreed up front.
Deliver: seeing it through
Insight leadership,
by department or by project.
When the seat is empty, the function is new, or a decision is too important to get wrong. The Insight Architect joins your leadership team, runs the work and hands over a function your team can carry.
Outcome: decisions backed by evidence, and a function your team can run.
From scattered tools
to a return you can measure.
AI arrives one team at a time, and much of it never reaches the others. Usage data and conversations with those teams show what's in use, what's working and why, and how to make the best of it spread.
Outcome: spend moves to the AI uses that pay back, and the best work spreads.
Decide: knowing what to act on
Know where you stand
before you spend.
In-depth interviews with your leaders reveal how ready you are, from strategy and customer data to culture, and where AI could add most value.
Outcome: know where to invest first, before budget is committed.
From a long list of ideas
to business cases you can fund.
Your leaders' ideas meet the people who do the work. Their input shapes the solutions; the strongest become business cases, each with an owner.
Outcome: a roadmap your leadership has agreed and budgeted.
The Insight Architect Method
Leaders set the direction first, then the people who do the work help shape it.
1
Align
Sponsors set scope, AI risk limits and success measures, with governance in view from the start.
2
Listen
Leaders explore how work gets done, where it could work better, and their AI readiness.
3
Co-design
Teams name what matters most to them, then shape the solutions.
4
Decide
AI use cases, each with an owner, cost and return, go to a decision with clear go and stop points.
5
Land
Lead the work, track usage and return by team, and keep it moving.
From the client side
Twenty years leading insight client-side in media and e-commerce, connecting product, marketing, tech and the board.
The human factor in ROI
AI pays back when people and AI work well together, and your people want that too. Find out what makes it work, and how to strengthen it.
Governance built in
Regulation, data protection and customer trust are planned in from week one, alongside your legal teams.
Independent
No software to sell, no agency overhead. Advice that isn't tied to a tool.
“Her work helped de-risk development decisions and align teams around evidence-based priorities and growth opportunities.”
Urs Martini
CTO, STAGE+ (Universal Music)
Paramount
“Consistently delivering deep insights that shaped product strategies.”
Dr. Mark Specht
EVP GM Central Europe
Zalando
“With the results of this project, we were able to identify the biggest pain points on the user journey and prioritise the right items on our product roadmap.”
Sonja Meriläinen
Product Insights & Strategy
Universal Music
“She speaks the language of design, tech and business, making it possible to connect the different worlds seamlessly.”
Florian Knape
Digital Art & Product Design Director
Data and AI pay back when what you build, buy or roll out is shaped around the people who use it. AI can improve that or make it worse, depending on how it is introduced and supported.
Shaping it that way, and getting the most from AI, is a leadership job. I've done it for twenty years, mostly client-side in roles like yours, leading insight at Paramount, Universal Music Group and Penguin Random House. That work reset pricing, secured investment in analytics and reshaped product roadmaps.
I founded The Insight Architect to bring that leadership in where it is missing. Drawing on psychology, product management and AI, I show what drives people to use what you built, what to change, and where AI is worth the spend. The work is senior enough to see the whole system, and independent enough to reveal what internal teams often cannot.
The easiest place to start is a short conversation about your goals.
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