The Great Puzzle of Growing Organizations It turns out that, just as in computer science, it's impossible to simultaneously achieve the three main goals a productive organization might want: consistency (everyone has up-to-date information), availability (everyone is able to provide quick answers to everyone else), and partition tolerance (the organization can still run if one part of it stops working).Ĭheck out my exploration of this 'CAP Theorem' concept, and let me know what you think 👇 Why does that happen every single time? Why isn’t there a perfect model that actually scales every single time? Why haven’t we found that yet? It’s a classic conundrum that as any team grows, its processes and systems begin to break down, and the team is often forced to reorganize or see diminishing returns. With the plethora of new companies forming every year, one would expect us collectively to have gotten better at navigating these growing pains.

Yet, I’ve seen teams of all kinds go through growth periods like this and face the same challenges over and over. Surely every organization is different.” And in some ways, every organization is different. At the time, I remember thinking, “Well, that’s pretty arbitrary.

Someone once told me that the hardest transition a team or organization of any kind goes through is the growth from around 30 people to 60 people.

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