Find the signal
Discover
Reveal unmet needs, behavioural patterns, and opportunities for growth.
AI Product & Experience Strategist
Designing for people Thinking in data Building for AI
Everything I do begins with human behaviour: I use research and data science to shape product strategy and design human-centred AI solutions.
What I offer
What’s holding your next decision back?
Whether you need to understand your customers, prioritise your product or improve how your team works.
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Understand what drives customers
“We know what our customers do, but not why.”
Find the needs and motivations behind their behaviour.
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Decide what to prioritise
“We have plenty of ideas, but no clear way to decide what comes first.”
Identify which opportunities are worth pursuing, and why.
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Find where change will help
“We want to use AI, but don’t know where it would actually help.”
Understand where work gets stuck and where people and AI can work better together.
The data is there, the decision is not
How it works
Every engagement starts with Discover. I bring together your data and research to understand the problem, identify opportunities and recommend what to do next.
Gather the evidence
Start with your CRM data, enriched by research, feedback and process insights.
Find the patterns
Behavioural segments, what drives them, where work gets stuck. AI-assisted analysis, checked by people.
Size the opportunities
Where the value sits, ranked by impact, effort and risk.
Decide what comes next
A shortlist and a recommendation: act now, test it first, or change how the work runs.
The findings determine whether to act now, explore options through simulation, or redesign the workflow
Simulate
When a decision is expensive to get wrong
Explore how synthetic segments grounded in your data might respond to shortlisted options, and identify what to validate with real people.
Transform
When the evidence points to changing how work runs
Redesign the workflow with people and AI agents, then pilot it and measure the change.
What you have after Discover
- Behaviour map
Segments and their drivers, or where the work loses time
- Opportunity shortlist
Ranked by value, effort and risk
- Recommendation
What to do first, and why
What this looks like in practice
Automotive
Synthetic Users for GEO
Starting situation
People now ask language models which car to buy. Customer research was abundant, but not in a form an agentic framework could use.
Result
An agentic framework that turns qualitative research into brand-neutral synthetic personas and a prompt catalogue by journey phase, used to audit brand visibility across AI engines.
Explore caseRetail
Feedback Intelligence
Starting situation
Thousands of customer reviews with praise and problems in the same sentence. Sentiment analysis flattened them to "neutral", and the fixable issues stayed buried.
Result
A single-pass GenAI decision layer that says what to fix, how urgent it is and who should act, on the same day.
Explore case
AI Product & Experience Strategist
Caro Milkez
During eight years at Accenture Song, I led experience and transformation work across automotive and enterprise products, and initiated research into synthetic users and agentic workflows.
Based in Munich, working with European and global clients. Happiest in the mountains, or with an espresso on the rocks.
- Industry experienceAccenture Song, OgilvyOne, OgilvyHealth spanning automotive and enterprise
- CertifiedCSPO Product Owner and Salesforce Business Analyst
- 15+ yearsProduct, UX and Design Leadership
- Data ScienceCombining machine learning and statistical analysis. MIT Professional Education
Ready to decide what comes next?
Start with the evidence you already have. Identify the opportunities, set priorities and decide where AI can help.
We check together whether Discover makes sense for your organisation.