Success Stories
Scaling Quality with Confidence
How Canada Goose Built a Future-Ready QA Model with Charles Hudson
Overview
- Client: Canada Goose
- Industry: Luxury Retail & Apparel (Omnichannel)
- Engagement Focus: QA Managed Services
Background
Canada Goose is a global leader in luxury apparel, popular for their iconic extreme outerwear collection. As the brand expanded its global footprint and deepened omnichannel presence, their leadership saw Quality Assurance as a key driver of that vision.
The opportunity was clear: supporting complex platforms—from e-commerce and ERP to retail POS—required QA that was consistent, scalable, and cost-competitive. Rather than treating QA as a support function, Canada Goose made the intentional choice to grow it into a core capability that could drive speed, reliability, and business value.
To achieve this, they partnered with Charles Hudson Technology Solutions to design a managed QA services model—one that would bring structure, expand coverage, and lay the groundwork for long-term growth and measurable cost savings.
Engagement Scope
The engagement focused on:
- Improving Service Levels: Clear SLAs, reporting, and accountability frameworks.
- Increasing QA Maturity: Standardized test design, structured automation strategy, and end-to-end validation.
- Adopting a Scalable Cost Model: Shifting to a flexible resourcing model with predictable, lower costs.
Challenge
Prior to the transition, Canada Goose identified several key areas where QA could evolve to better support the company’s growth and customer experience goals:
- Expanding QA capabilities to match business momentum
With increasing complexity across e-commerce, ERP, and retail POS systems, there was a clear opportunity to enhance QA coverage and accelerate release cycles, Strengthening team capacity and modernizing architecture would unlock greater agility and confidence in delivery. - Building a scalable, cost-effective QA mode
As operations grew, so did the need for a more dynamic and efficient approach to QA resourcing. Canada Goose saw the potential to implement a flexible framework that could scale with demand while optimizing investment. - Positioning QA as a strategic driver of innovation
Leadership envisioned QA as more than a support function. It could become a catalyst for innovation. By standardizing processes, expanding automation, and improving efficiency, QA would play a central role in enabling faster, smarter decision-making. - Enhancing visibility and insight through reporting
Improved reporting would empower teams with sharper insights into quality health, giving leadership confidence for go/no-go decisions and helping ensure timely releases.
By leaning into these opportunities, Canada Goose set the stage for QA to become a strategic enabler of growth, resilience, and exceptional customer experiences.
At a Glance
Background
The opportunity was clear: supporting complex platforms from e-commerce and ERP to retail POS—required QA that was consistent, scalable, and cost-competitive. Rather than treating QA as a support function, Canada Goose made the intentional choice to grow it into a core capability that could drive speed, reliability, and business value.
Engagement Scope
The engagement focused on: Improving Service Levels Increasing QA Maturity Adopting a Scalable Cost Model
Challenge
Prior to the transition, Canada Goose identified several key areas where QA could evolve to better support the company’s growth and customer experience goals: Expanding QA capabilities to match business momentum Building a scalable, cost-effective QA mode Positioning QA as a strategic driver of innovation Enhancing visibility and insight through reporting
Results
Our cost-effective QA model enables smarter budget utilization by reallocating funds toward innovation, while maintaining a predictable and sustainable cost structure.
Finding the Right Solution
Charles Hudson addressed this with a phased, outcome-driven approach:
- Standardization & Maturity
- Introduced structured reporting and standardized QA metrics across PODs.
- Delivered a comprehensive automation framework covering ERP (D365), eCommerce, POS, and OMS systems.
- Agility & Scalability
- Reduced QA onboarding timelines for new projects from weeks to days.
- Shadow resource model ensured seamless continuity and zero delays.
- Automation at Scale
- Implemented RSAT automation for regression cycles, speeding up delivery timelines.
- Parameterized automation scripts, minimizing manual intervention and enhancing efficiency.
- Cost Optimization
- Negotiated steady-state cost model that delivered multi-million dollar savings
- Locked service rates with no COLA adjustments, ensuring long-term fiscal predictability.
Result
We enable reliable retail transformation through a scalable, cost-effective QA delivery model:
- Cost-effective QA model
- More efficient budget utilization with funds reallocated to innovation
- Predictable, sustainable QA cost model
- Expanded QA Coverage Across All Core Systems
- Greater coverage and reduced defect leakage, with production slippage below 3%
- Agility in QA Onboarding
- New projects staffed in days, accelerating store launches and digital rollouts
- Global Delivery Model
- 24x7 coverage and increased engagement in PI Planning ensured business continuity
“Our transformation required not just better QA, but a model that could flex with our business and scale globally. Charles Hudson gave us the framework, talent, and accountability to deliver at speed and with confidence.”
— Max Perry, VP Customer Facing Product, Canada Goose
Post-Engagement Support
Even after the steady-state transition, Charles Hudson continues to provide:
- Ongoing governance via structured SLAs and KPIs.
- Quarterly leadership reviews and continuous upskilling of QA team.
- Contingency and project-based QA scaling to align with future roadmap demands (e.g., Shopify expansion).
Conclusion
The Canada Goose–Charles Hudson partnership was a great success. In under a year, Canada Goose upgraded to a scalable, standardized, and performance-driven framework— one that keeps quality at the center, in sync with the speed required for global growth. The outcomes were clear: test outcomes, process maturity, organizational confidence, coverage, quality, speed, and productivity all improved simultaneously, while testing costs were reduced.
This approach strengthened confidence across technology and business teams, reduced risk during critical launches, and ensured that innovation could move forward without compromise.
Today, it continues to power global retail expansion, support faster technology rollouts, and ensure customer experiences remain seamless—no matter the pace or complexity of change.