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"It really felt like you were going through a survey and reading real comments." Someone said that at Product Build Day Stockholm, after their team tested a prototype with synthetic users. More than 100 people ran synthetic tests in my rooms this year.
So can you trust synthetic users? There are two questions hiding in that one: can people use it, and do people want it? Synthetic users answer the first one at light speed, and that makes your time with real people worth more. Only real people can answer the second.
What you'll hear:
Try this week: test a website you often struggle with using synthetic users. Before you look at the results, write down where you expect them to get stuck.
I'm Marcin Klimaszewski and I run Product Build Day. Send me your question on LinkedIn, and it might become an episode.
Sources:
"Who produces better ideas: individuals or teams?" Stanford's d.school asks that in its online library of design questions.
The usual answer at work is to start together, all in one room. But in a study from Wharton and INSEAD, groups that spent the first ten minutes alone came up with about three times as many ideas in the same half hour, and their best ideas were better.
This episode is about why starting alone makes the whole team better, and how to run the part where the team decides together.
What you'll hear:
Try this week: pair up with a colleague, build against the same challenge separately, compare what you found, what you built and what you assumed, then build one thing together.
Next episode: Can you trust synthetic users?
I'm Marcin Klimaszewski and I run Product Build Day. Send me your question on LinkedIn, and it might become an episode.
Sources:
"Did you really throw everything away, or only the code?" Someone asked that on a French forum, under a post from a developer who vibe coded an app for a month, about 20,000 lines of code, and then threw it all away.
AI-built prototypes look finished, so the usual move is to call them version one and keep going. But in Veracode's 2026 report, AI-generated code had an average security pass rate of 56%. This episode is about what a prototype is actually for: learning what's worth building, before a development team builds it for real.
What you'll hear:
Try this week: before your next build, write the four-line contract: the test, the one path, what it must never hold, and the signal that ends it.
Next episode: Four people alone had twice the ideas of four together.
I'm Marcin Klimaszewski and I run Product Build Day. Send me your question on LinkedIn, and it might become an episode.
Sources:
Your boss is probably vibe coding more than you are. In a French survey of 1,031 people in product teams, 29% of CPOs said they use a vibe coding tool, against 12% of product owners.
So yes, learn it. The tools take one afternoon. The skill that takes practice is writing the challenge: one or two sentences that tell your team exactly what to vibe code, so you can test four assumptions in one day.
What you'll hear:
Try this week: write four challenges for your next idea, one or two sentences each, and vibe code against one of them.
Sources:
Next episode: A prototype is an instrument with an end date.
I'm Marcin Klimaszewski and I run Product Build Day. Send me your question on LinkedIn, and it might become an episode.
A startup founder told me they can vibe code faster than their dev team, and they still don't know what to ship. I hear the same question at every conference and in almost every conversation with product managers.
When anyone can build a working first version in about five minutes, "it works" stops telling you which idea is worth building. This episode is about finding the one belief your idea can't survive without, and testing it fast, before it costs you money and time.
What you'll hear:
Try this week: circle the belief that would kill your idea, and write a kill line before you test it.
Next episode: should product managers learn to vibe code?
I'm Marcin Klimaszewski and I run Product Build Day. Send me your question on LinkedIn, and it might become an episode.
Sources:
Building got cheap. Deciding got hard.
This year, over 120 people joined Product Build Day in six European cities to build an idea with AI and test it within one day. A working first version took minutes. The hard part came after: does anyone want this, and how do you find out before you spend a month on it?
I'm Marcin Klimaszewski. I run Product Build Day, and in this podcast I answer one question product people keep asking, in about ten minutes, every weekday.
In every episode:
Every number comes with a source in the show notes. Topics: product discovery, testing ideas before you build them, vibe coding and prototyping with AI, and getting to a clear decision.
Start with episode 1: You built it. Now try to kill it.
If there's a question you keep asking yourself, send it to me on LinkedIn. It might become an episode.
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