is-is-not

**Is-Is-Not** is **a problem-definition technique comparing where, when, and how an issue occurs versus where it does not** - It sharpens problem boundaries and narrows plausible cause space. **What Is Is-Is-Not?** - **Definition**: a problem-definition technique comparing where, when, and how an issue occurs versus where it does not. - **Core Mechanism**: Contrasting occurrence and non-occurrence conditions highlights discriminating factors. - **Operational Scope**: It is applied in quality-and-reliability workflows to improve compliance confidence, risk control, and long-term performance outcomes. - **Failure Modes**: Incomplete is-is-not tables can overlook key boundary conditions. **Why Is-Is-Not Matters** - **Outcome Quality**: Better methods improve decision reliability, efficiency, and measurable impact. - **Risk Management**: Structured controls reduce instability, bias loops, and hidden failure modes. - **Operational Efficiency**: Well-calibrated methods lower rework and accelerate learning cycles. - **Strategic Alignment**: Clear metrics connect technical actions to business and sustainability goals. - **Scalable Deployment**: Robust approaches transfer effectively across domains and operating conditions. **How It Is Used in Practice** - **Method Selection**: Choose approaches by defect-escape risk, statistical confidence, and inspection-cost tradeoffs. - **Calibration**: Maintain disciplined fact-only entries and update as new evidence appears. - **Validation**: Track outgoing quality, false-accept risk, false-reject risk, and objective metrics through recurring controlled evaluations. Is-Is-Not is **a high-impact method for resilient quality-and-reliability execution** - It improves focus and speed in root-cause analysis.