beliebig

Tim Herbig about Product Strategy - it needs to help say yes or now. Important reminder.

If anyone can build it is not about the build, it is about the test/learning loop - Dave Killeen

The rise of AI agents calls for some old managerial wisdom - don’t question and answer, set goals and expect results - Gobika Mohanan

Faith Forster - makersmanifesto.org/manifesto a new manifesto for the AI age - I especially like the „over“ wording, helping with decision making. @martinjordan.com this is inspiring to rework the delivery principles in order to make them more actionable!

Most of the world does not want to build software. They want to do the thing software does. - Martin Eriksson on Saas dying, or does it?

Another good one: Always have the first pen on the memo.

9/X “95% of GenAI Projects fail - Product Managers are there to design for the wanted friction.” (Study of MIT) So in the end - the tools we apply and mindset we strive for, we the PMs are here to stay - back to the beginning: m.youtube.com/watch?v=pXSZ...

8/X Beyond Function: The power of #Delight in tech products - Nesrine Changuel Categorize your features between low, surface, and deep delight by looking at emotional and functional aspects.

7/X - Use what works - spoiler, it is advanced NLP and light reasoning (Feasibility) - Solve the complicated problems (known unknowns), so focus on the right problem not on the simple ones, not on the chaotic, not on complex(Viability) And nice to see #Cynefin and #KANO Frameworks

AI in charge? Redefining the PM Role & Career (Panel) - 2 My thoughts: - rather focused on solution and building things, not about building the right thing?! - in what sectors can you shift to building in order to learn/test, what sectors can’t do that because of trust/number of interactions?

AI in charge? Redefining the PM Role & Career (Panel) - 1 - EU is still struggling with software companies, not even AI companies. - Future skill is curiosity and adaptability + prompt fluent, model literate, empathy towards tools and users + explain reasoning Learning cycle ie

Practicing the language of money - Rich Mirnov „Generic process discussions sound like excuses“ „Don’t bring a backlog to a gun fight“ Moneystory: Why? Simple SWAG? 2-3 Numbers most! ONLY multiply! Show and get gestimates (ranges)! Lead with the money story and only or choices in the and world!

5/X The rise of invisible products, interface zero - Michael Beyens „AI will remove the constraint of feasibility“

4/X The rise of invisible products, interface zero - Michael Beyens Skills, interfaces, patterns, designs all change as AI is becoming the consumer and agent and enables individualization. Implications that made me think: - Trust is changing hands - New generation is living with coexistence

3/X Build the builders - Create the product team your product deserves (Tania Nemes) Product Leaders = „Implement systems that survive you“ - What is your legacy? People or Product? Reminded me of the quote: The unit of delivery is the team.

2/X What does „Good“ look like with GenAI: PM meet Evals - FOMO vs. FOLC= Fear of loosing control - old world was deterministic, new world is open an chaos - Evals: 1. Prompt, 2. Dataset, 3. Evals - Check: Accuracy, Helpfulness, Safety and Fairness

1/X How to make decisions that stick - Samuel Braendle Leveraging a matrix of dimensions and options - Show your work, context matters - Don’t hide options - Update and acknowledge uncertainty „Every option has downsides and they will eventually appear“

What deserves human attention in times of AI? Leadership and importance of the human touch - Judith Pertl “We are not doing a good job at being humans right now.” - Brené Brown Takeaway of the group work: It is scary that only 2of20 have a positive outlook on the future of AI and the outcomes. 9/X

David Killeen: “If I hire for PMs, I hire for storytellers” My question at the end: Where is the collaboration with real humans, where is the human touch? If you get rid of the team through AI (10x the messages sent..) 7/X

Practical AI Use Cases for PMs 10x - David Killeen (Pendo) This should have been written by voice dictation. It wasn’t, yet. - Save time by voice input (120Wpm) - Protect the time by putting tasks in the calendar - Amplify impact by good prompts and value chains (automation) 6/X

PMing a LLM - Nick Jakobi (Cohere) - Thinking in pre training, post training, and launch overall - adding marketing and scientific questions to the product set = facilitate and listen - always think about specificity <-> general And in the end it is once again #ConwaysLaw and #AgilePlanning 4/X

Tony Beitramelli (Miro) AI accelerates innovation by: —> democratizes skills —> streamlines workflows —> Hallucinations are a feature here 3/X

Jon Alferness: The part between the silos is the interesting part for the users, hit home with the context of #GovTech

Jon Alferness: 1. Restraint reveals true strength 2. Discipline beats distraction every time (Focus on the core - don’t be another AI is the chatbot bolted on to the side) 3. Bet on people - give them a destination to work towards 4. Leadership is orchestration through quality & control 1/X