Strategic Design Methods
Frameworks, canvases, discovery practices, and working methods for making strategy concrete.
Everybody's Smart
8 postsStand at the two ends of a decision
Every decision has two ends — starting something and signing off on the result. AI is good at the middle. The valuable place is at the ends, a seat creative work didn't always hold.
How to survive the chaos
Distributed building risks sprawl: unapproved apps wired into live data. The winners build the right tools, maintain them, and know when to stop building and buy.
So be the one who gets copied
Perfecting a copy of the current trend will not pay; the machine wears trends out fast. Make something new. Be the one who gets copied. Own the idea, borrow the execution.
Sweden already sold you this model
An H&M executive once asked me: is H&M your go-to store? That question explains a whole Swedish model of business, and why AI tools feel so familiar.
The canvas was a clever bet
For twenty years the canvas bet that knowledge lives in people's heads, and the workshop's job was to get it onto the wall. That bet rested on one limit — and the limit just changed.
The folder knows more than the room
Your organisation already holds far more than any meeting could, scattered across drives, CRM, and old research. AI can read all of it. So the source of truth moves from the room to the fold
Now the canvas arrives already full
The canvas is not dead. But it now arrives already full, drafted by AI from the folder. The room's job shifts from producing ideas to judging a finished draft.
The folder gets smarter each time
Each session's output now returns to the folder and feeds the next one. The work compounds. Your value moves from filling the blank space to finding what the data could not know.
Methodologies
5 postsSixty Years of Design: costs and trade-offs
From paste-up to prompt: what sixty years of compression tell us about where creative work still lives — and where it has already left.
Discovery as a continuous condition
The traditional discovery toolkit treated research as a phase. AI-native discovery treats it as a condition — a sensing layer that compounds. Here is what that shift looks like in practice,
The Three-Actor Canvas
The Value Proposition Canvas was built for two parties. AI-native concepts require three. Customer, Business, and Agent — each with their own profile, each with their own design problem.
The Shape of Work Has Changed
Six dimensions map what shifted in consulting, strategy, and design work — and where the value actually sits now.
Work anyway: a methodology for when the tech changes before you're done
Agile assumed the technology was stable at sprint start. That assumption is now false. Here is what replaces it.