WeTest.Athens 2026

We've long had established methods for evaluating user behavior when it comes to practical, goal-oriented applications. But what happens when we go beyond that? When we attempt to build systems, environments or tools not meant for completing tasks, but for facilitating creativity or artistic self-expression? When AI makes it easier than ever for anyone to experiment with developing these types of experiences? How do we know if they're working well? And what does "working well" in that context even mean? Through an exploration of her past academic work, and how it relates to her current work in industry, Dalia will share practical lessons for anyone looking to design user experiences that push the bounds of what can readily be measured, all while touching on why doing so is especially crucial in the age of AI.

UX research often does its job too well. Teams understand the findings, presentations are well received, and there is broad agreement on the conclusions. Then the roadmap is finalised and the research quietly disappears.


This talk explores why strong research so often fails to influence prioritisation and delivery, and what researchers can do differently to change that outcome. Based on real project experience, it looks beyond research methods to the organisational realities that shape decision making, including planning cycles, ownership boundaries, delivery pressure, and competing incentives.


The session focuses on how research can be designed and positioned to support difficult trade offs rather than ideal outcomes. It examines the importance of timing, stakeholder involvement, and how findings are framed when teams are making commitments, not just seeking understanding. Particular attention is given to the moments where research either becomes a reference point for decisions or is set aside as background context.


Attendees will leave with practical approaches for shaping research so that it remains visible and relevant when priorities are negotiated, budgets are constrained, and delivery plans are locked in. The aim is not to make research louder, but to make it harder to ignore.

Measuring UX impact has traditionally relied on stable interfaces and clearly defined success metrics. But what happens when the experience itself changes every day?
In AI-powered recommendation systems, content is dynamic, personalized, and continuously evolving. Traditional UX evaluation approaches -often centered around a single “North Star” metric- quickly fall short in capturing relevance, engagement, and real user value.
This talk presents a real-world case from an AI-driven product, exploring how UX evaluation shifts when recommendations become a moving target. It introduces a layered approach to UX measurement, moving from isolated KPIs to a connected “metric story” that reflects user discovery, engagement, and progression over time.
Attendees will learn how to rethink UX success in AI-driven environments, how to structure meaningful metric hierarchies, and how to evaluate recommendation experiences beyond conversion alone - grounded in practical decisions, trade-offs, and lessons learned from production systems.

A quick-quide to how to create intelligent interfaces that user's actually like.

The great AI product interface regression is that we’ve returned to a command-line input style (prompting), and it’s the main reason for poor AI product experiences. It creates high cognitive load, often produces insufficient or flawed results, and leads to high frustration due to the lack of output control.
This session provides UX designers, product managers and Developers with practical human–AI design principles to create AI experiences that are not only functional but also user-centered, trustworthy, and engaging.

The classic Developer x Designer x PM trio is supposed to work like a well-oiled machine… but in reality it's often three people arguing over who broke the designs, who forgot the edge cases, and who keeps adding 'just one more feature' to the MVP. With budgets tightening and AI speeding everything up, those old role boundaries make even less sense today, yet the friction remains. How do we collaborate without stepping on each other's toes, or egos?

In this talk, we'll cut through the "AI builder" buzzword and focus on what can work inside established orgs. Morgane will share concrete examples and practical advice to help teams work together more smoothly and with less eye-rolling.