Technical Debt Assessment Framework

This framework provides a structured methodology for identifying, categorizing, and prioritizing technical debt in your codebase. It helps engineering leaders make data-driven decisions about when and how to address technical debt while balancing business priorities.

The framework includes: • A classification system for different types of technical debt (architectural, code quality, testing, documentation) • Impact assessment matrices to evaluate business risk vs. technical risk • ROI calculation methods for debt reduction initiatives • Communication templates for explaining technical debt to non-technical stakeholders • Tracking mechanisms to monitor debt accumulation and reduction over time

By using this framework, you can transform technical debt from a vague concern into a manageable, measurable aspect of your engineering strategy.