When Performance Drives the Cultural Narrative
The Three Anchors of Ethical Leadership: People, Purpose, Performance
SERIES 1 EPISODE 5
Great Leadership Brings Meaning to Performance
Strong cultures begin with meaning. Liberating leaders begin by naming what is happening inside the organization—and why conditions exist as they do. They explain trade-offs honestly, rejecting the immature belief that everything can be optimized simultaneously. They acknowledge constraint, uncertainty, and consequence. Data on dashboards STILL matters—but it follows sense-making; it does not replace it.
This sequencing matters because people do not act on data first. Decades of organizational research demonstrate that people act on interpretation, then use data to justify, test, or refine their actions. Cultures that lead first with language, context, and narrative use metrics as tools for learning.
When Dashboards Drive the Narrative
When performance metrics are allowed to speak for leadership instead of supporting leadership, several predictable patterns emerge:
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Lived experience is dismissed as anecdotal or emotional.
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Dissent appears unscientific, even when it signals legitimate risk.
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Variance is mistaken for failure rather than information.
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Measurement becomes confused with mastery.
In practice, this appears in familiar ways. Employees raise concerns about customer confusion, rising emotional labor, or growing workarounds—but leadership points to stable averages.
Teams feel pressure to “hit the number” rather than explain what the number may be hiding. Conversations narrow as teams chase the desired dashboard outcome instead of deepening their understanding of what is driving the variance.
How Metrics Quietly Reshape Behavior
Research on goal-setting and performance measurement consistently demonstrates that metrics do more than track behavior—they shape it, often in unintended ways.
Narrow Measures Encourage Gaming, Not Learning
Empirical studies show that when performance indicators are tightly linked to rewards or penalties, people optimize locally—even when doing so harms the broader system. For example, service teams may reduce handle time by shortening conversations or shifting complexity elsewhere, improving the metric while degrading the overall customer experience. What appears efficient on paper may create friction everywhere else.
Quantification Bias Distorts Leadership Judgment
Decision science research demonstrates that leaders often privilege quantitative data over qualitative judgment, even when qualitative information is more diagnostic. Signals such as fatigue, moral distress, burnout, and the erosion of trust rarely appear immediately on dashboards. By the time they emerge as attrition, customer dissatisfaction, or reputational harm, the damage is already well underway. Not everything meaningful can be measured easily, and not everything measurable is meaningful.
Critical Information Flow
Systems theory reinforces that organizations are perfectly designed to produce the outcomes they produce. If leaders reward speed, efficiency, and output without equal attention to impact, ethics, and method, the system will comply—even at a long-term cost. This is why performance can appear strong right up until trust collapses, customers disengage, or talent exits. By the time leaders recognize failure, the system has often been optimizing for the wrong definition of success for quite some time. Without understanding that systems are goal-seeking, organizations default to blame, and data unintentionally becomes ammunition instead of insight.
A Liberating Reframe: English Frames Math
Liberating leaders act more like organizational archaeologists, allowing language to frame the situation:
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What is happening?
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Who is impacted?
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What trade-offs are we making?
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When did purpose disappear from the narrative?
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What behaviors are our systems rewarding?
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What truths are people afraid to say out loud?
And then metrics sharpen understanding:
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What does the data confirm?
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What does it challenge?
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What complexities does it reveal?
Finally, judgment integrates people, purpose, and performance. Research on effective strategy demonstrates that performance metrics are most powerful when embedded within a clear theory of action rather than treated as objective truth.
Holding the Tension
Our organizations desperately need leaders who understand that people respond to the meaning found in the narrative: Why are we doing this, and how will my life—or my team’s—improve as a consequence? Leaders can then use data to justify, test, or refine that understanding.
When performance alone drives the narrative, culture becomes brittle. When people, meaning, and performance remain aligned, culture becomes resilient. This alignment requires leaders to deliberately hold all three in tension.
🎧 This essay is part of our quarterly conversation on Leadership That Liberates. Listen to the companion podcast episode at Change That Binds.
References
Edmondson, A. C. (2018). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Wiley.
Jackall, R. (1988). Moral mazes: The world of corporate managers. Oxford University Press.
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Kerr, S. (1975). On the folly of rewarding A while hoping for B. Academy of Management Journal, 18(4), 769–783.
Muller, J. Z. (2018). The tyranny of metrics. Princeton University Press.
Rumelt, R. P. (2011). Good strategy/bad strategy: The difference and why it matters. Crown Business.
Senge, P. M. (1990). The fifth discipline: The art and practice of the learning organization. Doubleday.
Weick, K. E. (1995). Sensemaking in organizations. Sage Publications.





