OMG, OMG ... the dawning realisation that I just held an event on mapping and over 400 people turned up (and we could have had more if we had planned for it) ... stunning.
Excited to be chairing @map_camp (https://t.co/iRELI17njO) again this year - working with @swardley and the #mapcamp team! Map camp is happening tomorrow, October 3rd. See you there!
I have 27 discounted tickets for Map Camp (price is £20 + VAT) in London, 3rd October - https://t.co/FpIPhfpuA4
Meet great speakers from @Rachel0404 to @JanetHughes to @MrsDHW to @yoditstanton.
This group of tickets is for women only. DM me (open) and I'll send you the URL
The trickiest bit with my maps is you need to give up on a natural inclination towards time and learn to cope with uncertainty, using weak signals and likelihoods - see "Uncertainty is the key" - https://t.co/DbDh51WtHX ... there is a reason for this ...
My comments
a) The Spotify model is far better than what most organisations have.
b) It still won't work over time as it fails to cope with evolution.
c) This is a solved problem for me, over a decade ago. I'll keep it short, you're fsck'd without maps. https://t.co/Ly2lTpN8gd
Wardley Mapping in a pill:
🕴️keep stakeholder needs above everything,
🎲 accept uncertainty,
📚 be explicit about your assumptions,
📊 design for constant evolution,
🔁 iterate and learn.
Everything else will come 💰🍾.
The map is never the territory, they are imperfect representations even geographical ones. But there's a reason why our modern society is built on maps (from supply chains to GPS to exploration) rather than stories (Vikings). Words are a very poor forms of navigation -> https://t.co/Sx1RbIxKy7
To prove a point, a rather messy map. You can use maps for ... well ... a lot. For communication and learning over culture, structure, purchasing, methods, deduplication, strategy, process flow, financial flow ... it's a very long list.
Asked about Chaos Engines. It's a term I used in 2011 to describe various systems from chaos monkey (Netflix, 2010) to the earlier master of disaster (Amazon, 2006) to even earlier use in manufacturing (1970s). It simply a means of introducing semi-random failure into a system.