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Measure · Tool guide 14 of 40

Data Collection Plan

A data collection plan coordinates the measures, definitions, sources, sampling, timing, responsibilities and quality checks needed to establish the baseline. It is the agreement about how collection will happen; the collected dataset is its output.

Expected output: An agreed and trialled collection plan with responsibilities and validation checks.

01 · Purpose

Why and when to use it

Use it before assigning observers or exporting records, especially when several measures and teams are involved.

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. State the measurement question and required output measures.
  2. Link each measure to an operational definition and source.
  3. Specify eligible cases, sampling, period and context fields.
  4. Assign collectors, validation responsibilities and review dates.
  5. Pilot the plan, resolve ambiguities and record any later changes.

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.

MeasureCollection arrangementQuality check
Late dispatch percentageAll eligible orders over four weeks; analyst extracts event recordsValidate timestamp meaning and missing cases
Packing durationRandom observations on both shifts; trained observersTrial start/end rules and observer agreement
Order accuracyIndependent audit sample; quality leadUse explicit defect definitions and record denominator

04 · Interpretation

What the result tells you

The plan connects “what we need to know” with “how we will know it”. Different measures can require different sources and sampling designs.

Completion check: An agreed and trialled collection plan with responsibilities and validation checks.

05 · Judgement

Mistakes and limitations

Avoid copying a plan from another process without testing definitions. A plan does not guarantee representativeness, access or measurement reliability; confirm these before execution.

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.