John Cutler · 7 min read · Product Teams

TBM 421: Minimally Viable Consistency (Part 3)

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Explores minimally viable consistency and introduces three strategies—sharp consistency, flexible consistency, and legible variety—to balance standardization with local autonomy. It argues that the right level of consistency reduces coordination costs and accelerates learning, but too much or too little standardization incurs costs, so the optimal level depends on context and how AI can enhance or undermine alignment.

Key Takeaways

Excerpt

Almost ten years ago, Arlo Belshee used a line that stuck with me: “Org design is basically about solving the puzzle of what must be consistent, and what you’re willing to lose to keep it consistent.” I've written about consistency, and minimally viable consistency, before ( Part 1 , Part 2 ). In this post I want to explore what I've been calling sharp consistency, flexible consistency , and legible variety . You work with all three in your quest to find minimally viable consistency. Understanding this is also a big unlock for where and how AI can be valuable…

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