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Dodane do backlogu
13.08.2025 05:00

Special episode: Escaping Bullsh*t Product Management with David Pereira (CPO MailerLite, Author „Untrapping Product Teams")

In this episode we sit down with David Pereira – CPO at MailerLite, author, and one of the most outspoken voices in product management - to unpack the idea of Bullsh*t Product Management.

This conversation is both a reality check and a playbook for PMs who want to escape the feature factory trap and build products that truly matter.

We talk about:

What Bullsh*t Product Management is and how to recognise itWhy “being busy” doesn’t always equal creating value.How to identify wasteful product work and shift focus from feature delivery to value creationPractical ways to win stakeholder trust and influence change from withinFinding the balance between endless discovery and actually deliveringCreative approaches to customer research when access is limitedUsing AI as a partner in discovery, ideation, and experimentation

This episode id packed with stories from David’s career - including lessons learned at Booking.com and his work transforming teams.

📬 Subscribe to David’s newsletter: https://dpereira.substack.com/

📖 Check out David’s book Untrapping Product Teams: https://www.d-pereira.com/untrapping-product-teams

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Znaleziono 51 wyników dla "AI"

Naszym gościem jest David Pereira, główny oficer produktów w MailerLite.

And I said, what is the real name of that?

And it's the art of doing things that create no value, but drain your energy.

So you attend the meeting, you start moving in the chair.

I thought I'm nailing it.

I said, that's it.

And I said, I'm gonna change that.

Maybe I would like to follow up this, what you said, David.

Na przykład weźmy jedną z funkcji, które chcą tam zaimplementować,

And you interview customers and you see if they have the pain the feature aims to solve.

Customers don't have this pain or they have a different one.

I I really recommend to start with evaluation then you have something I call this method mirror method you will show ok so here we spent half of the quarter quarter of this work here is the results yeah and mainly if we started doing that we have very bad results and this could be the first you know step of showing that we need to change something yeah

Ale nie powinieneś dać opcji z poza racjonalnością, a nie z twoimi uczuciami, mówiąc, że wszyscy budują takie fajne rzeczy z AI, powinniśmy tylko budować to samo.

And that's not a situation that you can gain support.

A teraz wszystko dotyczy AI, więc musisz nauczyć się wszystkiego.

Jestem interentem CPO na MailerLite.

Może będziemy zainteresowani z perspektywy ze względu na to, jak pracujemy i co możemy zrobić inaczej.

And MailerLite is a fully remote organization and I was sincerely shocked on how fast things can change.

One of the first aspects I recommended, MailerLite had the roles of PO and PMs.

So I said, whoa, that's quite fast.

As far as I know, this checklist that you mentioned is available on your blog, in your newsletter.

Yeah, it's available.

But if you want to gain benefit from their fresh perspective,

Jak klienci zainteresowują się nim?

And I said, you can't talk to our customers.

Wait, in a place someone would get off the car and then say, hey, may I ask you a few questions?

So I came up with that and I presented to this automaker and said, hey, this is what I learned, what do you think about it?

I said, well, I talk to people who are on the street and I just ask them questions and here's what I learn.

And then went to Fiverr and checked who would use our product and so on and said, I'm going to hire three freelancers.

I I'm gonna talk to them and understand their pains.

And she presented problem and said, my level of confidence with this is 30%, with this one is more on the 50%, I would run some experiments and so on.

So you continuously discovery and you want to talk to customers and so on and gain evidence and more evidence and it is never enough data.

So do you have any thoughts on the usage, on AI usage when it comes to this learning slash discovery phase or any use case from your recent work?

And the same will go together with AI.

I don't recommend delegating everything to the AI.

When it comes to AI, what can help you with discovery?

You can ask AI to write you the problem statements and you can ask to do in a format you'd like to.

So you can ask AI to write to you, but now comes a trick.

If you need five problem statements, so to say, I ask AI to write twenty.

I wtedy odwiedzisz i myślisz, ok, może to zainteresuje Cię, a potem myślisz, o, może mogę zrobić to, to i to, bo chcesz zaamplifikować.

For example, when I started writing the book, I said I'm going to post on LinkedIn and I will see how the engagement goes.

So use AI to help you see possibilities in terms of experimentation and so on.

I następnie przychodzą te kodingowe, lovable, bolt i tak dalej, więc możesz ich używać, aby stworzyć pewne prototypy dla Ciebie i wtedy zainteresujesz się z klientami.

Użyłem tego w MailerLite.

Chciałbym też dodać na podstawie eksperymentacji, że czasami też jesteśmy zaindexowani eksperymentacją, niż po prostu skupieniem.

Cała ta idea, zwłaszcza teraz w świecie AI, jest łatwiejsza do skupienia, szybciej.

Chcę wrócić trochę do AI, ponieważ również zgodzę się z tym, że musimy użyć tego jako partnera.

Więc zastanawiam się, jak Ty, jako CPO, CPO MailerLite, używasz AI najczęściej w tej tygodniu?

So understanding the competitors and saying like how we can position ourselves that could help us differentiate from competition and also protect ourselves against disruption.

So use AI for this, like amplify, research and challenge my thinking and so on.

A trzecie jest używaj AI, kiedy możesz.