Performance Targets vs Experimentation

Business Context

Performance targets provide clear expectations and make progress against benchmark gaps measurable. However, experimentation introduces uncertainty and may temporarily reduce productivity, quality, speed, or other measured outcomes while alternative methods are tested. Employees whose evaluation depends heavily on short-term targets may therefore avoid experiments even when experimentation could produce substantially better future performance.

Benchmarking TRIZ Resolution

Experimental performance should be evaluated differently from routine operating performance. Controlled experiments can have learning objectives, risk boundaries, hypotheses, and success criteria that include knowledge generated rather than only immediate output. Operational targets remain active outside the experimental boundary, preserving performance discipline while allowing selected areas to explore better mechanisms.

Applicable TRIZ Principles

Principle 1 – Segmentation separates experimental activity from routine target evaluation.

Principle 16 – Partial or Excessive Actions limits experimentation to controlled portions of the system.

Principle 23 – Feedback converts experimental results into improved operating methods and future targets.

Expected Outcome

Preserved performance discipline

Greater experimentation

Faster discovery of superior methods

Reduced risk from controlled trials

Decision Indicators

Early indicators include:

Teams reject experiments because temporary performance deterioration would affect targets.

Improvement portfolios contain only predictable initiatives.

Experiments are conducted informally to avoid performance reporting.

Targets remain unchanged after superior methods are discovered.

Managers evaluate exploratory work using the same criteria as mature operations.

Monitoring these indicators helps prevent performance targets from becoming barriers to discovering higher performance levels.