Technical Debt Triage
The prioritization methodology. When to fix technical debt and when to accept it.
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Fortune 500 Logistics · Global Scale
Systematic approach to technical debt prioritization across a global logistics platform. Balancing innovation with stability in high-stakes operations.
CH Robinson operates one of the world's largest logistics platforms. Millions of shipments, real-time coordination, and zero tolerance for system failures. The engineering challenge: how do you modernize a platform that can never stop running?
Technical debt had accumulated over years of rapid feature development. Some of it was strategic—deliberate trade-offs that enabled speed to market. Some was accidental—the natural entropy of complex systems under pressure. The distinction mattered.
The team was caught in a cycle: incidents consumed engineering bandwidth, which prevented debt remediation, which caused more incidents. Breaking this cycle required systematic prioritization—treating technical debt as a business decision, not just an engineering preference.
Identified and prioritized technical debt items that could be resolved quickly with significant operational impact. These freed up capacity for larger initiatives.
Major architectural improvements scheduled for dedicated sprints. Business case justified investment with projected incident reduction and velocity gains.
Small improvements addressed when engineers were already working in affected areas. No dedicated time, but continuous incremental improvement.
Some technical debt isn't worth fixing. Explicitly documented as accepted, with triggers defined for when re-evaluation would be warranted.
This engagement directly informed the Technical Debt Triage framework. The key insight: technical debt prioritization is a business decision that requires business-level visibility and accountability.
"Technical debt isn't just an engineering problem. Left unaddressed, it constrains revenue, slows product, and limits your options at exactly the wrong time. The question isn't whether to address it—it's how to prioritize based on business impact."
The framework establishes a shared language between engineering and business leadership for discussing technical debt. Impact is measured in business terms: incident frequency, velocity constraints, opportunity cost. This enables rational prioritization rather than engineering-driven preferences.
Production incidents reduced by 40% within 6 months. Strategic debt remediation eliminated the root causes of recurring issues.
Engineering velocity effectively doubled as teams spent less time fighting fires and more time building features.
Engineering and business leadership developed shared understanding of technical debt impact. Investment decisions became data-driven.
The framework for prioritization is straightforward. The harder work is building organizational alignment. Let's discuss your situation.
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