Service design second
Operating model third
Technology fourth
This order is still reversed way too often.
Service design second
Operating model third
Technology fourth
This order is still reversed way too often.
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...
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...
Categorize your features between low, surface, and deep delight by looking at emotional and functional aspects.
Categorize your features between low, surface, and deep delight by looking at emotional and functional aspects.
- 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
“It is easy to make a 💩 product with AI right now” - Overpromising and Tech over problem
Back to the three circles (finally!):
- Focus on what makes the beer better with AI not internal ops or product ops (Desirability)
“It is easy to make a 💩 product with AI right now” - Overpromising and Tech over problem
Back to the three circles (finally!):
- Focus on what makes the beer better with AI not internal ops or product ops (Desirability)
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?
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?
- 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
- 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
„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!
„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!
„AI will remove the constraint of feasibility“
„AI will remove the constraint of feasibility“
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
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
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.
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.
- 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
- 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
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“
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“
“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
“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
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
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
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
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
- 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
- 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
AI accelerates innovation by:
—> democratizes skills
—> streamlines workflows
—> Hallucinations are a feature here
3/X
AI accelerates innovation by:
—> democratizes skills
—> streamlines workflows
—> Hallucinations are a feature here
3/X
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
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