Definition
The learning curve (or experience curve) describes the observed phenomenon that the cost, time, or error rate of performing a repeated task or producing a unit decreases by a roughly constant percentage each time the cumulative volume of experience doubles.
Why It Matters
Organizations and technologies that do not improve with repetition fall behind those that do. In capital-intensive or safety-critical domains (rockets, aircraft, chips, medicine), the slope of the learning curve determines whether a program is economically viable or will be overtaken. Ignoring the learning curve leads to chronically over-optimistic schedules and costs; harnessing it turns early failures into compounding advantage.
Core Concepts
- Cumulative Experience: Usually measured in total units produced, flights, trials, or person-hours, not calendar time.
- Percentage Improvement: Classic 80% curve: each doubling of cumulative output reduces unit cost to 80% of previous. Steeper (70%) is faster learning; flatter (90%) is slower.
- Drivers: Process standardization, tooling investment, worker skill, design simplification, supplier learning, and — crucially — deliberate post-action review and modification.
- Forgetting and Reset: When production is interrupted or teams are dispersed, the curve can reset or even worsen (loss of tacit knowledge).