A good leader demonstrates great critical thinking skills to question normality, analyze the different conditions, clarify root causes from symptoms or the “we always do things like that” mentality.
However, management is a complex discipline with many pitfalls. For example, a “condition” in a decision rule ( if X then do Y, or if this KPI is met then automate) can be “wrong” in a few common circumstances:
When the condition is based on incomplete or biased information:
-Missing key variables (KPI looks good, but customer churn risk was rising due to an untracked segment).
-Sampling bias (data reflects only one region/team).
-Measurement bias (different teams define “success” differently).
When the condition is outdated
-Business conditions change (new competitors, regulation, pricing, product changes).
-Seasonality (a threshold that worked last quarter fails this quarter).
-Model/data drift (especially with AI-driven conditions).
When the condition has ambiguous meaning
-Poorly defined metrics (“urgent” isn’t the same as “high priority”).
Different interpretations across stakeholders (leadership assumes one meaning; ops measures -another).
When the condition has hidden dependencies: A KPI may depend on factors not included in the condition. Example: “low backlog” may be true because work was deprioritized—not because throughput improved.
When there are exceptions the rule doesn’t capture
-Edge cases (compliance-sensitive customers, unusual contract types).
-Rare events that leadership cares about, even if they’re low frequency.
When incentives cause gaming: Teams learn what the condition measures and optimize for it. Example: improving the metric by delaying work that later increases rework/cost.
When automation changes behavior: After agents automate actions, the system’s outputs can change (feedback cycle). Example: escalation rates rise because customers receive faster responses but fewer human checks.
When operational execution is inconsistent: The condition may be “true” in the data, but the process fails:
-wrong routing: integration issues
-tool permissions denied
-human override patterns differ by teams: When the condition assumes causality that isn’t guaranteed
-Correlation is mistaken for causation.
Leadership might act on “X predicts Y,” but the real cause is something else (or the relationship is non-stable).
In today's dynamic digital business environment with hyperconnectivity and interdependence, the traditional management based on linear thinking and reductionist logic is outdated, causes silo or frictions, and decelerates business speed. A good leader demonstrates great critical thinking skills to question normality, analyze the different conditions, clarify root causes from symptoms or challenge the “we always do things like that” mentality. They also rely on the skills and intelligence of the staff they lead so that they can focus on the bigger picture, develop a strong strategy and apply holistic digital management discipline to build the competitive advantage for their businesses.
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