Systems Thinking vs. Local Optimization: Balancing Team and Organizational Goals
Recognize when team-level optimization conflicts with organizational goals and apply systems thinking to resolve the tension.
A common trap in scaled Agile is local optimization: each team maxes out its velocity and throughput, but the total system slows down. This happens because individual optimization creates bottlenecks elsewhere. For example, Team A finishes quickly but their work piles up waiting for Team B's integration capacity. Or each team builds the maximum features possible, creating bloat that slows product iterations. Systems thinking asks: what's the constraint on the total system? Remove that, not local constraints. This nugget covers identifying system constraints, how incentive structures drive local vs. system optimization, and how to align team metrics with organizational outcomes.…
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