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QSO 645 Milestone Three: NFL Next Gen Stats Quality Control, Communication & Resource Management | Complete SNHU Submission | 2026

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QSO 645 Milestone Three: NFL Next Gen Stats Quality Control, Communication & Resource Management | Complete SNHU Submission | 2026

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QSO 645: Project Mgmt for PMP Certification

Southern New Hampshire University

May 29, 2026

, NFL Next Gen Stats: Quality Control, Communication, and Resource Management

Project Control Techniques

Quality Auditing

Quality assurance and quality control are distinct but complementary job functions. Quality

assurance is proactive and process-oriented. It’s focused on preventing defects by ensuring that

standards and methods are correctly defined before and during execution. Quality control is

reactive and output-oriented. It identifies defects in specific deliverables after they are produced.

For the NGS platform, quality assurance encompassed the calibration standards, latency

benchmarks, and RFID accuracy specifications established before stadium installations began.

Quality control encompassed the physical testing and inspection activities that verified each

stadium’s compliance against those standards. Combining the two leads to heavy investment in

inspection without addressing root-cause process failures, leading to repeated rework.

Several quality control techniques were executed during NGS control. Site validation audits at all

30 stadiums involved signal propagation testing, antenna coverage mapping, and latency

verification against the sub-100-millisecond delivery standard (Amazon Web Services, 2020).

Continuous data accuracy benchmarking compared RFID tracking output against video review

samples throughout deployment. It was a statistical process control approach that detects

assignable causes of variance before they compound across derived metrics like route grades and

win probability models (Larson and Gray, 2018). The 2014 preseason pilot served as a system-

level quality audit, validating the full end-to-end workflow under live-game conditions before

the league-wide rollout. This was consistent with a stage-gate model requiring deliverables to

clear quality thresholds before advancing (Larson and Gray, 2018). The primary quality

assurance gap was insufficient pre-deployment RF site modeling. Signal propagation issues at

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