Which metric is trending the wrong way?

Composite index of leading-indicator safety behaviors: psychological safety, leadership engagement, frontline ownership, near-miss reporting cadence. Distinct from incident-rate lagging indicators.

Elapsed time from a control-plan change request (often triggered by a CAPA or process change) to fully released and trained-out control plan.

Sum of preventative cost, appraisal cost, and failure cost (internal and external). Captures the total quality investment plus the cost of poor quality outcomes.

Number of ECOs raised per period, often normalized by part count or product line. Indicator of design-stability and change-control workload.

Rate of formal updates to work instructions. Too high suggests instability or unclear standards; too low suggests obsolescence or skipped updates.

Probability that a unit passes through every step of a multi-step process without rework or scrap. Product of FPY at each step. Surfaces multi-step yield loss that single-step FPY hides.

Investment in prevention and appraisal: training, control plans, audits, calibration, prevention engineering. The "good" portion of TCoQ that reduces failure cost.

Cumulative time temporary deviations or workarounds remained in production without formal MOC sign-off. Indicator of change-discipline drift.

Actual throughput as a percentage of theoretical maximum throughput or installed capacity. Distinct from Asset Utilization Rate, which measures asset-time use; Capacity Utilization measures output-rate use against engineered capacity.

Output rate measured in units per time period (units/hour, units/shift, units/day). Foundational measure of production pace. Distinct from OEE Performance Factor, which is a speed-loss ratio within available time, not an absolute output rate.

Total units produced per period (shift, day, week, month). The volume measure of output, complementing rate-based metrics. Used when reporting cumulative production rather than instantaneous pace.

The required production rate to meet customer demand: available production time divided by customer demand units. Takt sets the throughput target. Running faster than takt builds inventory; running slower creates backlog.

Period-over-period change in backlog. Bookings minus shipments. Positive means demand is outrunning capacity; negative means the order book is shrinking.

Absolute spend on expedited freight (air, expedited ground, premium ocean). Often categorized by root cause (forecast miss, supplier delay, internal capacity).

Output mass or count divided by input mass or count for a defined process step or value stream. The inverse view of Conversion Waste plus Scrap. World-class targets vary widely by process type (machining, casting, forming, assembly, food processing, etc.).

Average elapsed time from operational stakeholder request to finance-team response or analysis delivery. Indicator of finance-as-business-partner effectiveness.

Per-unit gross profit: selling price minus unit cost, evaluated per SKU or product family. Granular view of product-mix profitability that aggregate Profit Margin hides.

Days from period close to financial statements ready. Direct measure of finance-team execution speed and process automation maturity.

Percentage of finance-team hours spent on reactive (firefighting, ad-hoc data validation, manual reconciliation) versus proactive (analysis, planning, advisory) work.

Material lost as part of the conversion process by design: trim, swarf, runners, risers, edge waste, sprues, kerf. Distinct from Scrap Rate, which captures defect-driven loss. Reduced through process design, material specification, and nesting / sequencing changes.

Actual material consumption divided by BOM-theoretical material consumption, less one. Captures combined effect of conversion waste, defect-driven scrap, and unrecorded loss. Diagnostic tool when reconciling material accounting to physical reality.

The Performance factor of OEE. Ideal Cycle Time times Total Count divided by Operating Time. Measures speed loss from minor stops, idling, and reduced run rate.

The Quality factor of OEE. Good Count divided by Total Count. Measures yield loss from defects and rework, scoped to the equipment in question.

Percentage of scheduled tier huddles, gemba walks, and shift handoffs completed per defined routine. Operationalizes daily management as a measurable practice, not just an aspiration.

Percentage of frontline-submitted improvement ideas implemented within a defined window. Measures both engagement (submission) and the system's capacity to act on input.

Frequency, quality, and consistency of leader presence on the floor. Composite of go-and-see cadence, coaching interactions, and direct frontline contact.

Percentage of action items raised in tier meetings or audits closed by their commit date. Indicator of management-system credibility and follow-through discipline.

Annual workers' compensation insurance and claims cost divided by full-time-equivalent headcount. Trailing indicator of workplace-safety financial exposure.

Number of formal employee grievances per 100 employees per year. Indicator of workplace conditions and labor-relations health.

Composite risk score across labor compliance dimensions: wage and hour, classification, scheduling, mandated breaks, working time. Indicator of regulatory exposure on labor practices.

Composition of workforce across defined demographic dimensions (gender, ethnicity, age band, etc.) compared to relevant benchmarks (regional labor market, industry, or organizational target).

Elapsed time from a defined decision-required event to documented decision. Spans operational decisions (escalation response) through strategic decisions (capital allocation), measured separately by decision type.

Number of CI ideas or projects implemented per period, often normalized by site or team headcount. Throughput measure of the improvement engine.

Percentage of committed strategic initiatives completed on time at agreed scope and benefit. Trailing indicator of strategy-deployment effectiveness.

Time from problem identification to verified countermeasure implementation, scoped to PDCA / A3 / 8D problem-solving processes. Indicator of organizational learning velocity.

Percentage of organizational changes (technology, policy, structure) achieving stated outcomes within target time. Distinct from ECO Rate which counts engineering-only changes.

Average time to locate a needed document (procedure, drawing, COA, work instruction) at the point of use. Indicator of knowledge-management infrastructure quality.

Percentage of IT and OT systems with security patches current within target SLA. Leading indicator of cyber exposure on known vulnerabilities.

Severity score of cyber incidents over the reporting period, weighting by scope of compromise (assets affected, data exposed, downtime). More diagnostic than incident count alone.

Operator and supervisor minutes per shift spent on manual data entry that could be automated. Direct measure of digital-capture maturity.

Percentage of digital tools or automated processes that have reverted to manual workarounds. Inverse signal of digital adoption sustainment.