The patterns of decentralized v centralized execution are on full display with Covid response but this happens all the time in product organizations.
When you want to scale and be predictable, centralized execution always wins when the degrees of freedom are known. 1/
When you want to scale and be predictable, centralized execution always wins when the degrees of freedom are known. 1/
2/ There’s a myth the governors are presenting just as we see with teams in a large organization. The idea that local information and conditions matter so much that centralized is inherently wrong.
3/ This only matters if the solution can be highly variable. In the case of covid there’s really only one set of tools to execute.
Just like if a broad product line wants a consistent interface or data collection, then centralizing those work best.
Just like if a broad product line wants a consistent interface or data collection, then centralizing those work best.
4/ If the solution is highly variable or unknown, the default to local execution sounds great on paper.
In practice, a usual outcome is just randomness because few things really have highly variable solutions. More decision makers do not converge naturally to a good solution.
In practice, a usual outcome is just randomness because few things really have highly variable solutions. More decision makers do not converge naturally to a good solution.
5/ In reality, the biggest variable is quality execution (or competence). No system works with poor quality execution.
yes it is also possible with stellar execution that anything can work.
This thread is about trying to be typically optimal w/o relying on outliers. // END
yes it is also possible with stellar execution that anything can work.
This thread is about trying to be typically optimal w/o relying on outliers. // END
