Workshop: Use Continuous Discovery to Drive Evidence-Led Decisions
The Problem Every PM Faces
Last week, your feature launched to 847 users. This week, 12 are still using it. Stakeholders start asking uncomfortable questions. You wonder: "How do we keep building things nobody actually needs?"
The answer isn't building faster. It's building smarter through product discovery.
And discovery is not a one-time task you complete, but rather a continuous process and mindset that helps you make smarter decisions based on evidence, decrease risk, optimise cost and delight your customers.
What you'll get:
In this hands-on workshop, we will work on case studies, taking them from value ideas to validated solutions. Our approach is built on three pillars:
De-risk assumptions
Deeply understanding customer and business problems we’re solving
Rapidly testing ideas to gather evidence
This is not about the theory, it is about practising the techniques, collaborating with peers and leaving with a toolkit that you can use from the next day.
Note: this workshop and the toolkit are based on the Opportunity Solution Tree framework developed by Teresa Torres.
This workshop is ideal for:
Early-to-mid-career PM (1-5 years) tired of the "feature factory" approach
Startup founder who wants to build products customers actually love
Designer ready to move beyond assumptions into evidence-driven decisions
Just bring your curiosity and real product challenges you're facing.
About the trainers:
Ady - 20+ years of international product experience (eBay, Orange, Just Eat Takeaway). Learned the hard way why discovery matters and now helps teams avoid those painful mistakes.
Tudor - Service design and innovation coach with 7+ years helping 40+ companies move from assumptions to impact. Your guide from ideas to evidence.
This is our way of giving back to the product community. Come learn, share, and help us make product discovery more accessible for everyone.
Limited to 16 participants for maximum interaction and feedback.
Join a community of product makers who choose evidence over opinions, learning over launching, and customer problems over cool features.