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Document IDHWB-QMS-BB-003
Version2.0.0
Statusâ—Ź APPROVED
Clause7.5
Document Control
Document Title HWB-MOB-2026 Data Collection Plan
Document ID HWB-QMS-BB-003
Version 2.0.0
Status APPROVED
Author George (Systems Architect)
Approved By Humberto Dominguez, CEO
Date 09/21/2026

Data Collection Plan: HWB-MOB-2026 Mobile Execution Engine

1.0 Purpose

The purpose of this document is to define the methodology for collecting baseline (pre-intervention) data to establish the current Sigma level of cleaning operations and identify specific areas of "Payroll Mopping" waste.

2.0 Measurement Strategy

We will utilize a combination of legacy paper logs, CRM timestamps, and manual audits to benchmark the current process performance.

2.1 Key Performance Indicators (KPIs)

Metric Name Type Operational Definition Data Source
Cycle Time (CT) KPOV Total time from technician arrival to site departure. CRM Clock-in/Out Logs
Defect Rate (DR) KPOV Number of missed tasks found during a 20-point supervisor audit. Manual Audit Forms
Labor Utilization % KPIV (Actual cleaning hours / Paid payroll hours) * 100. QuickBooks vs. CRM
Sync Latency KPIV Time elapsed between task completion and visibility in CRM. Technician Self-Report

3.0 Sampling Plan

To ensure statistical significance (95% Confidence Level), the following sampling strategy will be employed: * Sample Size: Minimum 30 site visits across 5 different facility types (Daycare, Office, Medical, Industrial, Construction). * Timeframe: 14 consecutive days of legacy process tracking. * Method: Random selection of technicians and shifts to avoid bias.

4.0 Measurement System Analysis (MSA)

Before finalizing the baseline, we must verify the integrity of our data collection system: 1. Gage R&R (Attributes): Two supervisors will audit the same 5 sites independently to ensure consistency in "Defect" identification. 2. Accuracy Check: Compare CRM timestamps against physical security logs (where available) to verify clock-in accuracy.

5.0 Data Collection Template

Technicians and Supervisors will utilize the following data points during the 14-day baseline period: * site_id: Facility being serviced. * tech_id: Assigned technician. * scheduled_start: Planned arrival time. * actual_start: Verified arrival time. * actual_end: Verified departure time. * tasks_missed: Count of SOW items not performed. * photo_evidence_count: Number of tasks documented via mobile photo.


6.0 Approval & Sign-off

CEO/Operations Director: _______ Date: 2026-03-20


7.0 Revision History

Version Date Author Description
1.0 2026-03-20 George (MBB) Initial Data Collection Plan for Black Belt track.
2.0.0 09/21/2026 George (Systems Architect) Modernized and upgraded to post-May 1st, 2026 baseline. Standardized under HWB-QMS-1.0 v2.0 (Everyday Words) and approved by Humberto Dominguez, CEO.
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