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Staffing Plan

Executive Summary

This staffing plan outlines the team composition, expertise requirements, and cost structure for developing the HYROX computer vision-based squat tracking system from September 1, 2025 to August 31, 2026. The project requires specialized expertise in real-time computer vision, edge computing, and sports technology integration.

Total Estimated Labor Cost: \$2,890,025
Project Duration: 52 weeks (12 months)

Team Composition by Phase

Comprehensive Staffing Matrix

PhaseRoleAllocationWeekly RatePhase Cost
ALPHASeptember 1 - November 7, 2025 (10 weeks)\$35,275/week\$352,750
Strategist100%\$9,500\$95,000
Delivery Manager100%\$8,000\$80,000
Technical Lead100%\$11,000\$110,000
Computer Vision Specialist100%\$10,000\$100,000
Machine Learning Engineer50%\$4,500\$45,000
Edge Computing Engineer50%\$4,250\$42,500
Designer50%\$3,750\$37,500
Data Engineer25%\$2,125\$21,250
BETANovember 8, 2025 - January 30, 2026 (12 weeks)\$66,125/week\$793,500
Strategist75%\$7,125\$85,500
Delivery Manager100%\$8,000\$96,000
Technical Lead100%\$11,000\$132,000
Computer Vision Specialist100%\$10,000\$120,000
Machine Learning Engineer100%\$9,000\$108,000
Edge Computing Engineer100%\$8,500\$102,000
Platform Engineer50%\$4,250\$51,000
Full Stack Software Engineer100%\$7,500\$90,000
Designer100%\$7,500\$90,000
QA Engineer50%\$3,500\$42,000
Data Engineer75%\$6,375\$76,500
GAMMAJanuary 31 - March 27, 2026 (8 weeks)\$83,375/week\$667,000
Strategic Product Strategist75%\$7,125\$57,000
Delivery Manager100%\$8,000\$64,000
Technical Lead75%\$8,250\$66,000
Computer Vision Specialist100%\$10,000\$80,000
Machine Learning Engineer100%\$9,000\$72,000
Edge Computing Engineer100%\$8,500\$68,000
Platform Engineer100%\$8,500\$68,000
Full Stack Software Engineer100%\$7,500\$60,000
Designer100%\$7,500\$60,000
Hardware Engineer75%\$6,375\$51,000
QA Engineer100%\$7,000\$56,000
Compliance Specialist40%\$3,200\$25,600
Data Engineer100%\$8,500\$68,000
DELTAMarch 28 - June 5, 2026 (10 weeks)\$74,125/week\$741,250
Strategist50%\$4,750\$47,500
Delivery Manager100%\$8,000\$80,000
Technical Lead50%\$5,500\$55,000
Computer Vision Specialist75%\$7,500\$75,000
Machine Learning Engineer75%\$6,750\$67,500
Edge Computing Engineer100%\$8,500\$85,000
Platform Engineer100%\$8,500\$85,000
Full Stack Software Engineer75%\$5,625\$56,250
Designer75%\$5,625\$56,250
Hardware Engineer100%\$8,500\$85,000
QA Engineer100%\$7,000\$70,000
Compliance Specialist25%\$2,000\$20,000
Data Engineer100%\$8,500\$85,000
FULL RELEASEJune 6 - August 31, 2026 (12 weeks)\$43,375/week\$520,500
Strategist25%\$2,375\$28,500
Delivery Manager50%\$4,000\$48,000
Technical Lead25%\$2,750\$33,000
Computer Vision Specialist40%\$4,000\$48,000
Machine Learning Engineer40%\$3,600\$43,200
Edge Computing Engineer50%\$4,250\$51,000
Platform Engineer75%\$6,375\$76,500
Full Stack Software Engineer50%\$3,750\$45,000
Designer50%\$3,750\$45,000
Hardware Engineer50%\$4,250\$51,000
QA Engineer50%\$3,500\$42,000
Data Engineer75%\$6,375\$76,500

Phase Summary Metrics

PhaseDurationWeekly CostTotal Cost
Alpha10 weeks\$35,275\$352,750
Beta12 weeks\$66,125\$793,500
Gamma8 weeks\$83,375\$667,000
Delta10 weeks\$74,125\$741,250
Full Release12 weeks\$43,375\$520,500
Total52 weeks-\$3,075,000

Project Phases

The development follows a structured five-phase approach over 52 weeks, with each phase building upon the previous. For detailed information about activities, deliverables, and success criteria for each phase, see the Project Phases section.

Phase Timeline & Investment

PhaseTimelineDurationWeekly CostTotal CostFocus
AlphaSep 1 - Nov 7, 202510 weeks\$35,275\$352,750Technical validation
BetaNov 8, 2025 - Jan 30, 202612 weeks\$66,125\$793,500Core development
GammaJan 31 - Mar 27, 20268 weeks\$83,375\$667,000Public testing
DeltaMar 28 - Jun 5, 202610 weeks\$74,125\$741,250Production validation
Full ReleaseJun 6 - Aug 31, 202612 weeks\$43,375\$520,500Global deployment

Cost Summary

PhaseDurationWeekly CostTotal Cost
Alpha10 weeks\$35,275\$352,750
Beta12 weeks\$66,125\$793,500
Gamma8 weeks\$83,375\$667,000
Delta10 weeks\$74,125\$741,250
Full Release12 weeks\$43,375\$520,500
Total52 weeks-\$3,075,000

Key Roles

Strategist

Defines product vision and roadmap, aligning technology with business objectives. Manages stakeholder expectations and drives innovation throughout the project lifecycle.

Delivery Manager

Ensures on-time delivery across all phases, removing blockers and facilitating cross-functional collaboration. Tracks metrics and manages risks to maintain project momentum.

Technical Lead

Provides overall system architecture and technical vision, ensuring all components integrate seamlessly to meet performance requirements.

Computer Vision Specialist

Drives development of pose estimation algorithms and real-time motion tracking systems critical for accurate squat detection.

Full Stack Software Engineer

Develops backend APIs and frontend interfaces, creating intuitive applications for judges and administrators.

Machine Learning Engineer

Focuses on model training, optimization, and deployment strategies for edge computing platforms.

Edge Computing Engineer

Specializes in deploying and optimizing the system on edge hardware while meeting sub-200ms latency requirements.

Platform Engineer

Builds infrastructure automation and manages deployments across distributed venues with high availability.

QA Engineer

Establishes testing strategies and validates accuracy, performance, and reliability across all components.

Hardware Engineer

Handles camera selection, mounting solutions, and field deployment procedures for varying venue conditions.

Compliance Specialist

Ensures GDPR compliance and navigates regulatory requirements across 60+ countries.

Designer

Creates intuitive judge interfaces and real-time data visualizations optimized for tablet usage.

Data Engineer

Designs scalable data pipelines for real-time processing and athlete performance analytics.

Budget Notes

  • Rates are based on specialized expertise requirements in computer vision, real-time systems, and sports technology
  • Includes contingency for knowledge transfer and documentation
  • Assumes remote work with periodic on-site requirements for testing
  • Does not include hardware, cloud infrastructure, or travel costs
  • Phase overlap allows for smooth transitions and knowledge transfer