EVENTOS

Runroom Lab User-obsessed strategy in the age of AI

How to supercharge your product by anchoring innovation in real users' needs. With Caroline Wilcock, Tomaso Vido & Izak Nel from Monzo

Formato:: Hibrido
Horario:: 22th April 2026
Lugar:: Runroom (presencial + streaming)

Apuntarme

🇬🇧 This LAB will be held in English

In a context where artificial intelligence is redefining how we build products, the real competitive advantage still lies in deeply understanding people.

👉 In this Runroom LAB, we’ll explore how to combine research, data, and strategy to drive truly relevant products, together with Caroline Wilcock, Tomaso Vido, and Izak Nel, experts in research and data at Monzo.

The Monzo Online Banking Experience

The rise of AI is accelerating innovation, but it also amplifies a risk: building solutions disconnected from real user needs.

In this session, you’ll learn how leading teams are using research and data to:

Identify high-value opportunities
Make more confident strategic decisions
Design products focused on real problems, not technological hype
Build Synthetic Personas that act as dynamic and interactive repositories for your field research, making real user insights more accessible and actionable (not replacing them).

All of this through the experience of one of the most advanced teams in digital product: Monzo.

Who is this Runroom LAB for?

Ideal for teams that want to go beyond AI hype and build truly useful, relevant, and scalable products.

Product Managers & Product Leaders
UX Researchers & Designers
Data & Analytics Professionals
C-level & Digital Leaders (CPO, CTO, Head of Product, etc.)
Innovation & Strategy roles

Runroom LAB es un evento mensual presencial y gratuito.

Tienes que inscribirte para reservar tu plaza.

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Aprendizaje que crea impacto.
Formaciones creadas desde la experiencia y práctica real de Runroom, para impulsar tu negocio y elevar a tu equipo al siguiente nivel.

Aprendizajes clave

Key takeaways

How to translate user insights into strategic product decisions
How to combine qualitative research and data science in complex environments
How to overcome “AI solutionism”: Synthetic Personas as a powerful vehicle for real insights, not a replacement for them.
What frameworks leading teams use to prioritize opportunities
Real cases applied to digital banking and B2B products

We’ll close with an open discussion and networking.

Compartir:Linkedin/Bluesky

Ponentes

Caroline Wilcock

Senior Lead Researcher at Monzo

Caroline is a Senior Lead Researcher at Monzo, where she transforms complex and ambiguous problem spaces into actionable frameworks that drive strategic decisions. She works in business banking to help teams understand and empower small businesses. With 13 years in tech across finance, green energy, and media, she helps organisations identify high-value opportunities that solve real-world problems. Based in the UK, she holds an MSc in Human-Computer Interaction and is an active mentor in the research community. Outside of work, Caroline loves literature, board games, exploring new places with her dog Artie, and is currently learning to paint.

Tomaso Vido

Lead User Researcher at Monzo

Tomaso is a Lead User Researcher at Monzo with a background in Psychology and Human Communication, currently focusing on the Business Banking collective. He also collaborates with BAU and BTS in Barcelona as guest professor. Having previously worked as a Staff Researcher and Research Manager at industry leaders like Glovo and eDreams, he specializes in qualitative methodologies and eye-tracking technology—the study of human visual behavior. Originally from Milan, Tomaso has lived in Spain for a decade. When he’s not deciphering user insights, he’s usually outdoors enjoying sports or spending time with his two-year-old daughter.

Izak Nel

Lead Data Scientist at Monzo

Izak is a Lead Data Scientist at Monzo, where he works in small and medium sized business banking, working on customer understanding and monetisation initiatives. Based in London and originally from South Africa, he uses data, spanning product analytics, statistics, and machine learning, to guide product and business strategy. A recent convert to wider research methodology, he is particularly interested in combining quantitative and qualitative research methods to get deep understanding of the interaction between human behaviour and digital products. Outside of Monzo, he’s learning the ukulele, competes in amateur gymnastics competitions and spends as much time in nature as he can.