Knowledge centre · Measure

Measure tool guides

Forty guides for collecting trustworthy data, understanding variation and establishing current performance. Choose methods that fit the measurement question and assumptions.

Measure · 01

Output measurement matrix

A requirement-to-measure table with definitions, targets, sources and owners.

Measure · 02

Collect Data

A traceable dataset collected under agreed rules, with deviations and missingness recorded.

Measure · 03

Operational Definition

A tested instruction that enables consistent observation or calculation.

Measure · 04

Data Source

A documented source decision with field meanings, coverage and validation findings.

Measure · 05

Data Type

A data dictionary that identifies each variable’s meaning and type.

Measure · 06

Data Collection Forms

A tested recording form with clear instructions and exception handling.

Measure · 07

Sampling Strategy

A justified sampling design with coverage, size rationale and selection records.

Measure · 08

Measurement System Analysis (MSA)

Evidence about measurement suitability, with limitations and actions recorded.

Measure · 09

Gage R&R for discrete (binary) data

An attribute agreement assessment with error direction and study limitations.

Measure · 10

Measurement System Analysis Type I

A one-reference repeatability and bias assessment under documented conditions.

Measure · 11

Measurement System Analysis Type II

A documented continuous Gage R&R study with components, metric definitions and decisions.

Measure · 12

Linearity Study and Systematic Measurement Deviations

A bias-versus-reference assessment with uncertainty and corrective decisions.

Measure · 13

Test the Quality of Available Data

A data-quality report and reproducible cleaning record supporting the baseline.

Measure · 14

Data Collection Plan

An agreed and trialled collection plan with responsibilities and validation checks.

Measure · 15

Understanding Variation

A reasoned view of process variation with evidence-based investigation priorities.

Measure · 16

Pie Chart

A labelled composition chart with a valid total and stated denominator.

Measure · 17

Bar Chart

A labelled category comparison with an appropriate scale and denominator.

Measure · 18

Pareto Chart

A ranked burden view supporting a transparent investigation priority.

Measure · 19

Dot Plot

A display retaining each observation’s value and frequency.

Measure · 20

Histogram

A numerical distribution display with explicit interval rules and contextual interpretation.

Measure · 21

Box Plot

A labelled group distribution summary with stated quantile and whisker conventions.

Measure · 22

Run Chart

A time-ordered plot with contextual annotations and cautious pattern interpretation.

Measure · 23

Control Charts

An appropriate stability chart with documented baseline, assumptions and signal response.

Measure · 24

Scatter Plot

A paired-variable plot with a context-aware description of association.

Measure · 25

Probability Plot

A documented assessment of a candidate distribution’s plausibility.

Measure · 26

Location Parameter Mean Value

A correctly calculated mean with units, coverage and distribution context.

Measure · 27

Location Parameter Median

A median with clear data coverage and an appropriate interpretation.

Measure · 28

Spread Parameter Variance

A variance calculation with explicit convention and units.

Measure · 29

Spread Parameter Standard Deviation

A labelled spread estimate with units and intended use made clear.

Measure · 30

Spread Parameter Range

An observed range with coverage and limitations stated.

Measure · 31

Spread Parameter Span

A named quantile-spread measure with its exact definition.

Measure · 32

Process Performance

A trustworthy performance baseline with coverage, uncertainty and guardrails.

Measure · 33

Defects per Million Opportunities (DPMO)

An opportunity-based defect rate with a transparent denominator.

Measure · 34

Parts per Million (ppm)

A unit-level nonconformance rate with an explicit denominator.

Measure · 35

Defects per Unit (DPU)

A defect-per-unit measure with consistent counting rules.

Measure · 36

Yield

Clearly defined first-pass and final yield with rework made visible.

Measure · 37

Span, Percentile Distance

A named percentile distance with a reproducible calculation method.

Measure · 38

Data Transformation

A documented scale transformation with a justified analysis and interpretable results.

Measure · 39

Process Capability and Process Stability

A requirement comparison supported by explicit stability and model checks.

Measure · 40

Cp and Cpk values

A capability assessment with genuine specifications and documented assumptions.