Central Question
Why do some organizations consistently achieve exceptional levels of performance despite operating in complex, uncertain, and resource-constrained environments?
This question applies equally to multinational corporations, military organizations, elite sports teams, hospitals, and social enterprises.
I. What Is Performance?
Scientific Perspective
Contemporary management research views performance as a multidimensional construct rather than a simple outcome. Since the work of Peter Drucker, Henry Mintzberg, and more recently Kaplan & Norton, scholars have argued that sustainable performance depends on an organization’s ability to align strategy, execution, and learning.
Performance is not simply about winning, earning more profit, or achieving a target.
It is about creating desired outcomes efficiently and sustainably.
The Three Dimensions of Performance
Effectiveness
Doing the right things.
An organization is effective when it achieves its objectives.
Example: Airbus delivers aircraft on schedule.
Efficiency
Doing things right.
An organization is efficient when it uses resources optimally.
Example: Toyota reduces waste while maintaining quality.
Sustainability
Maintaining superior performance over time.
Example: LVMH has outperformed many competitors for decades.
Drucker’s Two Fundamental Questions
Every organization must answer:
Are we doing the right things?
This is a strategic question.
Are we doing things right?
This is an operational question.
This distinction lays the foundation for understanding the complementary roles of KPI and OKR systems.
“The ultimate competitive advantage is an organization’s ability to learn faster than the competition.”
Arie de Geus, former Head of Strategic Planning at Royal Dutch Shell.
II. KPIs and OKRs: Two Complementary Logics
Key Performance Indicators (KPIs)
Scientific Perspective
KPIs emerged from management accounting and performance control systems. Their primary purpose is to reduce uncertainty through measurement and monitoring.
The underlying assumption is simple:
What gets measured gets managed.
Typical KPIs include:
- Revenue growth
- Profitability
- Net Promoter Score (NPS)
- Product quality
- Employee turnover
- Operational productivity
The Limitations of KPIs
Management scholars often refer to Campbell’s Law:
“When a measure becomes a target, it ceases to be a good measure.”
Examples include:
- Schools teaching exclusively to standardized tests
- Sales teams maximizing volume while destroying margins
- Hospitals focusing on throughput at the expense of care quality
KPIs are essential, but they are not sufficient.
Objectives and Key Results (OKRs)
Scientific Perspective
Developed by Andy Grove at Intel and popularized at Google, OKRs address a different challenge:
How can large organizations align thousands of individuals around a common ambition?
An OKR consists of:
Objective
A qualitative and inspiring destination.
Key Results
Observable and measurable indicators that define success.
Example
Objective
Become the preferred supplier in the European renewable energy market.
Key Results
- Increase market share from 12% to 18%
- Achieve customer satisfaction above 90%
- Secure 25 strategic accounts
Conclusion
KPIs help organizations monitor performance.
OKRs help organizations transform performance.
KPIs optimize the current system.
OKRs help create the future system.
III. Multinational Corporations: Performance Through Alignment
Scientific Perspective
Research in strategic management consistently demonstrates that long-term superior performance depends less on control and more on organizational alignment. High-performing firms connect corporate vision, operational execution, and performance measurement into a coherent system.
The challenge of high-performance organizations is not to measure more. It is to identify the few variables that truly drive success and to learn faster than their competitors, adversaries, or peers.
Happy CEO
Strategic Objective
Organize the world’s information and make it universally accessible.
Performance mechanisms:
- Weekly active usage rate
- Feature adoption after 30 days
- Experiment velocity (A/B tests launched)
- Mean Time to Recovery (MTTR)
- Customer friction points identified per sprint
- Deployment frequency
- User task completion rate
- Engineering lead time
Google evaluates not only results but also organizational learning and experimentation.
Management Lesson
Technology leaders optimize learning cycles rather than business outcomes alone.
Amazon
Jeff Bezos introduced an important distinction:
Input Metrics
Factors that create performance.
Examples:
- Order picking accuracy (%)
- Picking time per item
- Average warehouse travel distance per operator
- Dock-to-stock cycle time
- Same-day shipping rateInventory accuracy
- Robot utilization rate
- Packaging error frequency
Output Metrics
Observed business results.
Examples:
- Revenue
- Profit
- Market share
Amazon prioritizes input metrics because they are controllable drivers of future outcomes.
Management Lesson
Revenue is an output. Process reliability is the driver.
Toyota
Toyota’s performance system is built on:
- Andon cord activations
- Time-to-root-cause identification
- Kaizen suggestions per employee
- Changeover time (SMED)
- First-pass yield
- Defects detected upstream
- Standard work adherence
- Problem-solving cycle duration
Toyota demonstrates that exceptional performance is often the consequence of continuous learning rather than exceptional planning.
Management Lesson
Toyota measures learning and process improvement more rigorously than financial outcomes.
Conclusion
World-class corporations do not merely manage financial results.
They build systems that align thousands of daily decisions with a shared strategic intent.
IV. The Military: Performance Under Extreme Uncertainty
Scientific Perspective
Military organizations provide one of the most important laboratories for studying performance under conditions of uncertainty, complexity, and time pressure.
Research in organizational resilience suggests that rigid control becomes increasingly ineffective as uncertainty increases.
Mission Command
Modern military doctrine relies on a concept known as Mission Command.
The principle is simple:
Senior leaders define the desired outcome.
Local units determine how to achieve it.
This approach creates:
- Agility
- Initiative
- Speed of adaptation
- Decentralized decision-making
The philosophy resembles modern OKR systems.
Military Performance Indicators
Typical indicators include:
- Troops deployable within 24h
- Equipment readiness rate
- Communication success rate during simulations
- Target identification time
- Decision-making speed under stress
- Mission rehearsal completion rate
- Training hours in realistic conditions
- Team cohesion score after exercises
Importantly, no single metric explains military effectiveness.
Performance is systemic.
Management Lesson
Military performance is measured before combat, not after combat.
Conclusion
The military illustrates a paradox of performance management:
In highly complex environments, clarity of intent often matters more than precision of control.
V. Elite Sports: The Science of Marginal Gains
Scientific Perspective
Elite sport represents one of the most advanced environments for measuring and optimizing human performance.
Developments in physiology, neuroscience, biomechanics, and data science have transformed how athletes prepare and compete.
Individual Performance: Teddy Riner
Objective:
Become Olympic Champion.
Performance indicators include:
- Heart Rate Variability (HRV)
- Neuromuscular fatigue index
- Sleep efficiency (%)
- Number of successful throws during randori
- Reaction time under fatigue
- Acute-to-Chronic Workload Ratio
- Blood lactate concentration
- Grip strength asymmetry
- Recovery score 24 hours post-training
Elite athletes monitor both outcomes and underlying drivers of performance.
Management Lesson
Champions do not manage victory. They manage the physiological and technical variables that make victory more likely.
Team Performance: Professional Rugby
Research in sports analytics consistently shows that match outcomes are better predicted by a handful of operational indicators than by historical win rates.
- Physical Performance
- Percentage of players available for selection
- Average recovery score 48 hours after matches
- High-speed running meters per player
- Collision load per training week
- Acute-to-Chronic Workload Ratio (ACWR)
- Technical Execution
- Lineout success rate
- Scrum retention rate
- Tackle completion rate
- Ruck retention rate
- Handling errors per match
- Tactical Dominance
- Gain-line success percentage
- Average ruck speed (< 3 seconds target)
- Entries into opposition 22-meter area
- Territory percentage
- Turnover differential
- Team Performance
- Penalties conceded per match
- Points conceded in the final 20 minutes
- Conversion rate of scoring opportunities
- Number of multi-phase attacking sequences (>8 phases)
Team performance depends on collective execution rather than individual excellence alone. Championships are rarely won because a team wanted to win more. They are won because a team consistently controlled the variables that make winning statistically more likely.
The INEOS Cycling Philosophy
The concept of Marginal Gains, popularized by Dave Brailsford, suggests:
Improving hundreds of small factors by 1% can generate a major competitive advantage.
The objective is not to win races directly. The objective is to systematically improve the factors that increase the probability of winning.
Examples include:
- Physiological Performance
- Functional Threshold Power (FTP)
- Watts/kg sustained for 20 minutes
- Power output at lactate threshold
- VO₂ Max
- Heart Rate Variability (HRV)
- Recovery heart rate after maximal efforts
- Training Quality
- Time spent in target power zones
- Training Stress Score (TSS)
- Acute Training Load (ATL)
- Chronic Training Load (CTL)
- Acute-to-Chronic Workload Ratio
- Recovery
- Sleep duration
- Sleep efficiency (%)
- Deep sleep duration
- Morning fatigue score
- Muscle soreness index
- Nutrition & Hydration
- Carbohydrate intake per hour during effort
- Hydration status
- Weight variation during stages
- Glycogen replenishment rate
- Blood glucose stability
- Race Execution
- Time spent in aerodynamic position
- Drafting efficiency
- Average power during decisive climbs
- Energy expenditure before final climb
- Team positioning in the peloton
Victory is an outcome. Performance is a system.
A rider does not lose the Tour de France because he suddenly becomes weak on Stage 18.
Performance usually deteriorates gradually through:
- accumulated fatigue,
- inadequate recovery,
- poor energy management,
- declining physiological freshness.
The role of performance management is to detect these trends before they affect race results.
Conclusion
Performance excellence rarely results from a single breakthrough.
It emerges from the accumulation of numerous small improvements managed systematically over time.
VI. Hospitals: Managing Performance Paradoxes
Scientific Perspective
Healthcare organizations operate under multiple, often conflicting objectives. Scholars describe this challenge as managing organizational paradoxes.
Hospitals must simultaneously improve:
- Medical quality
- Patient safety
- Accessibility
- Financial sustainability
Hospital Performance Indicators
Examples include:
- Door-to-physician time
- Medication reconciliation accuracy
- Handover quality score
- ICU bed availability rate
- Diagnostic turnaround time
- Near-miss reporting frequency
- Protocol compliance rate
- Staff fatigue levels
Improving one dimension may sometimes negatively affect another.
Management Lesson
Healthcare excellence emerges from process reliability rather than individual heroics.
Conclusion
Hospital performance cannot be reduced to a single measure.
It requires balancing multiple dimensions of value simultaneously.
VII. Social Enterprises and the Performance of Impact
Scientific Perspective
Recent research in impact measurement challenges traditional views of organizational success.
The central question becomes:
How can organizations measure the value they create for society rather than only for shareholders?
Example: Emmaüs
Objectives focus on social transformation rather than financial gain.
Possible indicators include:
- Poor Indicators
- Number of meetings
- Number of beneficiaries contacted
- Number of workshops delivered
- Better Indicators
- Employment retention after 12 months
- Housing stability after 24 months
- Income progression of beneficiaries
- School attendance rates
- Reduction in social assistance dependency
- Long-term integration rate
Management Lesson
Impact should be measured through transformed lives, not organizational activity.
Advanced Impact Frameworks
Organizations increasingly use:
Theory of Change
Mapping how activities generate outcomes and impacts.
SROI (Social Return on Investment)
Estimating the social value created per euro invested.
ESG Metrics
Measuring environmental, social, and governance performance.
Conclusion
The best organizations do not manage results. They manage the conditions that make results inevitable.
The primary challenge for social organizations is distinguishing activity from impact.
This distinction strongly parallels the logic of OKRs, which focus on outcomes rather than outputs.
In summary
What Current Research Tells Us
Despite their apparent differences, Google, Toyota, NATO forces, Olympic athletes, hospitals, and social enterprises all face the same challenge:
How can a collective ambition be transformed into measurable and sustainable results?
Contemporary research converges around three key principles:
1. Performance Is Multidimensional
No single metric can capture organizational success.
2. Measurement Influences Behavior
The indicators organizations choose shape the actions people take.
3. Learning Is the Ultimate Competitive Advantage
The highest-performing organizations are not those that make the fewest mistakes.
They are those that learn, adapt, and improve faster than others.
Performance is not a result. Performance is a capability.
High-performing organizations do not focus exclusively on outcomes. They identify and continuously improve the underlying drivers that produce those outcomes.
They understand that:
- KPIs measure reality.
- OKRs shape attention.
- Learning accelerates adaptation.
- Adaptation sustains performance.
In a world characterized by uncertainty, technological disruption, and increasing complexity, sustainable excellence belongs not to the organizations that measure the most, but to those that learn the fastest from what they measure.
Performance is not about hitting a target once. It is about building a system capable of repeatedly achieving what others cannot.
Final Takeaway
KPIs answer: How are we performing?
OKRs answer: What are we trying to become?
The most successful organizations use both.
They do not measure performance merely to report it.
They measure performance in order to create it.
Go further
- Drucker, P. F. (1954). The Practice of Management.
- Kaplan, R. S., & Norton, D. P. (1992). The Balanced Scorecard: Measures that Drive Performance. Harvard Business Review.
- Grove, A. (1983). High Output Management.
- Doerr, J. (2018). Measure What Matters.
- Campbell, D. T. (1976). Assessing the Impact of Planned Social Change. (Campbell’s Law)
Et juste en dessous :
Additional examples and cases discussed in this lecture draw on public sources from Google, Amazon, Toyota, NATO, INEOS Grenadiers, World Rugby, Mayo Clinic and Social Value International.