Home / DMAIC / Measure

Measure · Tool guide 01 of 40

Output measurement matrix

An output measurement matrix turns agreed customer and business requirements into a set of clearly defined process measures. It records what will be measured, why it matters, the unit, target, data source and owner. It describes outputs; it does not establish which inputs cause them.

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

01 · Purpose

Why and when to use it

Use it at the start of Measure to connect baseline collection to the project goal and avoid collecting data simply because it is available.

Who takes part?

The measurement owner works with people who understand the process and the recorded data. Statistical or measurement-system decisions should involve someone able to check the assumptions and study design.

02 · Application

How to apply it

Start with an agreed measurement purpose, explicit units and trustworthy observations. Identify missing cases and assumptions before calculating.

  1. List the output requirements established in Define.
  2. Select one or more measures that represent each requirement.
  3. Specify the unit, numerator, denominator, timing and exceptions.
  4. Record the target and whether it is agreed or provisional.
  5. Identify a source and owner, then test whether the measure is obtainable.

03 · Example

A worked measurement example

Original fictional teaching example. Small datasets illustrate the method; they are not proposed as sufficient study sizes. Supplied parameters are assumptions, not estimates from a real process.

RequirementMeasure definitionSource and owner
Dispatch reliabilityLate orders / eligible orders × 100; handover after promised dispatch dateOrder-level timestamps; operations owner
Picking accuracyIncorrect orders / inspected orders × 100; one classification per orderOrder audit; quality owner

04 · Interpretation

What the result tells you

The matrix is ready when two people can collect the same measure using the documented rules. An accessible data source is not evidence that its records match the required definition.

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

05 · Judgement

Mistakes and limitations

Avoid targets with no agreed basis, missing denominators and measures that reward speed while hiding accuracy losses. Validate the measurement process before trusting the baseline.

07 · Reading

Sources and further reading

The tool list follows the accepted LeanTrainingLab overview and its reference to Six Sigma+Lean Toolset, second edition (Lunau, editor; Springer, 2013). The book chapters were not available for direct review during this build. Explanations, examples and worksheets are original teaching material. Further reading supplies professional background; local conventions are stated explicitly.