Warehouse Workflow LabDefine a warehouse metric clearlyPublished by Voodoo Robotics · workflows.voodoorobotics.comPerson responsible for this worksheetDateVersion01Metric identityWhat to do: Name the decision and owner.KPI nameUse a short, specific name for the metric.Example: Picking lines per direct labor-hourBusiness questionWrite the decision the trial must answer.Example: Should Zone A use eight-order carts?Process ownerName the person responsible for this decision, task, or approval.Example: A. Rivera — Operations ManagerData ownerName the person responsible for this decision, task, or approval.Example: A. Rivera — Operations ManagerReview cadenceEnter the exact date, due date, or review frequency.Example: July 22, 202602Exact definitionWhat to do: Remove denominator ambiguity.NumeratorWrite what gets counted on top of the formula.Example: 1,200 completed order linesDenominatorWrite what the counted result is divided by.Example: 8 direct picking labor-hoursClock startState the exact event that starts timing this metric.Example: Task first appears on the worker’s screenClock stopState the exact event that stops timing this metric.Example: Final quantity posts successfully to the WMSScopeState exactly which work, area, shift, or cases are inside and outside the worksheet.Example: Zone A day shift; oversize orders excludedInclusionsList work, records, shifts, and problem cases that are counted.Example: All released Zone A order lines, including ordinary shortagesExclusionsList work or records that are not counted and explain why.Example: Training orders and canceled orders reported separately03Data and qualityWhat to do: Make the number auditable.Source systemsName the exact software or record involved.Example: Acme WMSJoin keysList fields used to match related records from different systems.Example: order_id and task_idLate-event ruleState which reporting period receives a record that arrives after the normal cutoff.Example: Credit the completion to its actual event time; flag arrivals over 15 minutes lateMissing-data ruleState what happens when a required record or value is missing; do not silently treat it as zero.Example: Exclude the row, count it as missing, and investigate if more than 2% are missingValidation sampleEnter a measured count and the period or group it covers.Example: 1,200 order lines during the day shiftKnown biasDescribe a known weakness that may make the number misleading.Example: Oversize-item zone is not included04InterpretationWhat to do: Prevent gaming or false conclusions.Target / rangeUse a numeric limit that clearly means pass, pause, or fail.Example: At least 99.8% accuracyGuardrail metricUse a numeric limit that clearly means pass, pause, or fail.Example: At least 99.8% accuracyLikely confoundersList factors other than the workflow that can move this metric.Example: Order size, worker experience, refill delays, and equipment outagesActions this metric supportsName decisions this measure can reasonably help make when its guardrails are also reviewed.Example: Adjust staffing by hour or compare two tested picking methodsActions it must not drive aloneName decisions that require other measures or human review in addition to this metric.Example: Do not discipline a worker from lines/hour alone; also review order mix and accuracy
