#15 The one about AI, users, experiments & better decisions

Hey folks!
We’d like to invite you to the #15 Product Peak meetup @ Ocado Technology!

Key event details:

• Date: Thursday, June 18th, starting at 18:00 (6:00 P.M.). Please arrive a bit earlier to grab your seat.
• Location: Ocado office, Szewska 8, Wrocław Old Town. The entrance is next to Green Caffè Nero.
• Venue: Dedicated event space, 4th floor.

*** AGENDA ***
18:00 - grab a drink and take a seat

18:10 - 18:40
Speaker: Radek Orszewski
Topic: Who needs User Research in the Age of AI?

Abstract:
AI makes us faster, more independent, and capable of building almost anything in record time. Great. But there’s still one uncomfortable question: who are we actually building for?

It’s one thing to vibe-code side projects for yourself. It’s another to accelerate delivery based only on assumptions no real user has ever confirmed. Tokens cost money, and building the wrong thing still costs time.

In this talk, Radek will introduce a simple but powerful approach: User Needs Mapping. You’ll learn how to better understand what matters, for whom, and how AI can actually support discovering meaningful user problems instead of just speeding up feature production.

If your dream is to build products that solve real pain points, this session is for you!

18:40 - 18:50 BREAK

18:50 - 19:20
Speakers: Marek Mysior
Topic: AI Agents in inventive problem solving

Abstract:
Large Language Models are great at generating and transforming content. But when it comes to solving complex engineering problems, prompting alone is rarely enough.

In this talk, Marek will show how AI agents can be augmented with dedicated tools that make them genuinely useful for inventive problem solving. Using a custom MCP server, he’ll demonstrate how structured tooling helps agents apply proven methods like TRIZ to real engineering challenges.

Expect practical examples, live demos, and a closer look at how AI can move beyond chat interfaces into real-world problem solving.

19:20 - 19:30 BREAK

19:30 - 20:00
Speakers: Kate Turnau
Topic: Experiments are for learning, not for releasing with the handbrake on.

Abstract:
Experimentation was created to help us learn.
Somewhere along the way, many product teams turned it into a release process or never ending
data pursuit.

In this talk, we'll explore how experimentation can drift from a decision-making tool into a safety
blanket. We'll look at experiments that generate real insight, experiments that can never
produce useful answers, and "experiments" that exist only because that's how features get
released.

Through real product examples, we'll discuss how to distinguish between learning, risk
mitigation, and decision avoidance, and how to know when to experiment, when to run a
controlled rollout, and when to simply ship.

Because the goal of experimentation isn't gradual release.
It's learning something that changes what you do next.

*** BIOs ***
Radosław Orszewski helps teams simplify complexity and improve the way they work — pragmatically, not dogmatically. Known for explaining difficult concepts in an approachable way, he has spent years working with Kanban, Team Topologies, and modern ways of building effective product organizations.
He runs LeanAgile.ninja and hosts the long-running podcast Kanban przy kawie, where he explores practical approaches to product development, agility, and teamwork.

Marek Mysior is an Assistant Professor at Wrocław University of Science and Technology, specializing in Inventive Design Methods and their intersection with modern AI. His research focuses on TRIZ, Design Thinking, and Inventive Engineering, combining rigorous methodology with hands-on development of tools that use machine learning, NLP, and Generative AI to solve real technical problems. Everything he builds, he tests himself, validating each tool against actual engineering challenges.

Kate Turnau I'm a Senior Product Manager at OLX, where I've spent the last several years building products across trust & safety, moderation, user reputation, monetization, and inventory management.
My product superpower has evolved from discovery to decision-making: generating fast, valuable insights, challenging assumptions, and knowing when to experiment, when to mitigate risk, and when to simply ship. Along the way, I've learned that the most expensive product
decision is often waiting for perfect certainty. Away from product, I'm a triathlete, marathoner, and climber, usually preparing for my next race,
mountain adventure, or an idea that begins with, "How hard can it be?"