Great talk title from @scott_triglia: Making impossible decisions, one step at a time. Essentially reapplying concepts from Lean Startup to planning for complex uncertain undertakings.
Key principles:
- assume our plan will change
- prioritise getting to market
“Outcome of planning meeting: 1) Document problem space and any constraints 2) Name and empower a DRI (Directly Responsible Individual) 3) Select directional approach”
“Moonshots. We know this term right? It’s when you’re trying to do something big and hard, and for some reason we feel it most appropriate to compare delivery of our web app to humans landing on the moon for the first time” <laughter> @scott_triglia#LeadDevBerlin
“But when you look at the actual story of NASA in the 60s, they didn’t know how to get to the moon from the beginning. They got there in steps and stages. So start with a roofshot” @scott_triglia#LeadDevBerlin
“Impossible decisions, one step at a time:
- Think rigorously, but bias towards action
- Build guardrails to notice danger early and adjust
- Realign and readjust as you learn more about your challenge
- You don’t have to know it all ahead of time” @scott_triglia#LeadDevBerlin
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Latest in the “moving into tech leadership and/or management” subtheme here today at #LeadDevSanFrancisco is “Becoming a Manager Somewhere Else” from @mybluewristband
“Not all the advice provided in this talk will definitely work for you, as it’s my own story”
Jenn’s Career Trajectory:
- civil engineer
- mechanical engineer
- structural engineer
- customer support (to get foot in the door of tech)
- web developer (~5 years)
- software engineer (again. Another 3 yrs)
- moving towards management
“Three Things to Look for in the Person:
[0) Care about people (non-neg) ] 1) Doubts (filter out power hungry) 2) Growth mindset (highly competent at engineering —> highly incompetent at managing) 3) Courage to be disliked (recognition changes)
“Inclusion is a foundation for setting and creating a level playing field for people to be given opportunities to succeed. Inclusion has to presume competence.”
I love the @TheLeadDev crowd so much. They just gave @carlaprvieira applause and whooping for explaining it’s her first time in the US and her first international conference talk here at #LeadDevSanFrancisco 🥰🥰🥰💖💖💖
“Bias is like a virus that travels and is replicated by machine learning models.”
Potential Harms Caused by AI Systems: 1) Bias & discrimination 2) Denial of individual autonomic rights 3) Non-transparent, unexplainable or unjustifiable outcomes 4) Invasions of privacy 5) Unreliable, unsafe or poor quality outcomes