How can Scrum teams measure technical debt? Follow On: Ways to measure and manage technical debt: ● Code quality tools (SonarQube, CodeClimate) ● Automated test coverage ● Bug rates and frequency of rework ● Velocity trends — slowed delivery may indicate rising debt ● Team feedback in Retrospectives Make it visible: ● Track known debt in the Product Backlog. ● Reserve capacity every Sprint to pay it down. Example:
Answer: fter frequent issues with legacy code, a team estimates and logs 5 technical debt stories, prioritizing the worst ones during each Sprint.
What interviewers expect
- A clear definition tied to Agile in Agile & Scrum projects
- Trade-offs (performance, maintainability, security, cost)
- When you would and would not use it in production
Real-world example
In a production Agile & Scrum application, teams apply this when handling user-facing features or integration boundaries. For example, you might use it during a sprint where reliability and observability matter—logging metrics, validating edge cases, and documenting the decision in an ADR so future developers understand why the approach was chosen.
How to explain in the interview
- Define the concept in one or two sentences.
- Context — where it fits in Agile & Scrum architecture.
- Example — a specific project, bug, or performance win.
- Trade-off — what you gain vs what you sacrifice.
Tip: Practice aloud on Toolliyo mock interview or the Interview Q&A section before your real interview.