Exceptional people in flawed systems will produce subpar results. Before focusing on individual performance, leaders must ensure the underlying systems are reliable and resilient. As shown by the Southwest Airlines software meltdown, blaming employees for systemic failures masks the root cause and prevents meaningful improvement.

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To prevent single points of failure, implement a "pilot/co-pilot" system. Regularly rotate employees, promoting the co-pilot to pilot and bringing in a new co-pilot. This develops well-rounded talent, breaks down knowledge silos, and makes the company anti-fragile, despite initial employee resistance to change.

Effective delegation of decision-making authority is impossible without first ensuring leaders are deeply aligned on organizational objectives. When individuals are empowered to make choices but pull in different directions, the result is a quagmire, not progress. Alignment must precede autonomy.

Under pressure, organizations tend to shut down external feedback loops for self-protection. This creates a "self-referencing" system that can't adapt. Effective leadership maintains permeable boundaries, allowing feedback to flow in and out for recalibration, which enables smarter, systems-aware decisions.

A 'blame and shame' culture develops when all bad outcomes are punished equally, chilling employee reporting. To foster psychological safety, leaders must distinguish between unintentional mistakes (errors) and conscious violations (choices). A just response to each builds a culture where people feel safe admitting failures.

Firing decisions should be a function of both incompetence and business constraint. Not all underperformers are equal priorities. Some are like a "trash can on fire in the driveway"—a problem, but not the company's main bottleneck. Focus firing efforts on roles that are the direct constraint to growth.

Focusing on "bad to great" is more effective than "good to great" when scaling. Bad behaviors and destructive norms are so corrosive that they make it impossible for excellence to take root. A leader's first job in a turnaround or scaling effort is to eliminate the bad—like dirty bathrooms or incompetent employees—before trying to implement the good.

The belief that people fail due to lack of will leads to blame. Shifting to 'people do well if they can' reframes failure as a skill gap, not a will gap. This moves your role from enforcer to helper, focusing you on identifying and building missing skills.

Pega's CTO warns leaders not to confuse managing AI with managing people. AI is software that is configured, coded, and tested. People require inspiration, development, and leadership. Treating AI like a human team member is a fundamental error that leads to poor management of both technology and people.

Before labeling a team as not resilient, leaders should first examine their own expectations. Often, what appears as a lack of resilience is a natural reaction to systemic issues like overwork, underpayment, and inadequate support, making it a leadership problem, not an employee one.

The biggest blind spot for new managers is the temptation to fix individual problems themselves (e.g., a piece of bad code). This doesn't scale. They must elevate their thinking to solve the system that creates the problems (e.g., why bad code is being written in the first place).

Fix System Flaws Before Blaming Human Error for Poor Performance | RiffOn