Overview
What this challenge is about.
Simulate queueing for a 40-person SaaS support team, run experiments to hit 95% tickets in 2 hours, and earn a verifiable certificate.
The scenario
CloudDesk has 40 employees, 2000+ enterprise customers, and a support team of 5 generalists. They are expanding to enterprise with stricter SLAs.
The Brief
What you'll do, and what you'll demonstrate.
Determine the optimal staffing levels for a two-tier support queue to meet enterprise SLA of 2-hour response time while minimizing labor cost.
Earning criteria — what you'll demonstrate
- Model a stochastic service system using queueing theory and simulation
- Calibrate simulation parameters from real-world data
- Design and analyze simulation experiments to support decisions
- Evaluate trade-offs between service level and cost
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Operations Analytics and Optimization
Master · Operations
Strong alignment
This challenge maps to Operations Analytics and Optimization at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Simulation
Apply simulation to solve real industry problems and demonstrate production-level capability.
- Queueing Theory
Apply queueing theory to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Statistical Analysis
Apply statistical analysis to solve real industry problems and demonstrate production-level capability.
- Cost Benefit Analysis
Apply cost benefit analysis to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: