Lucas and Luna explore why most test suites waste resources testing the wrong things. They anchor on a real example: a fintech company that reduced its regression suite by 60 percent after mapping test cases to business risk. The hosts walk through the concept of a risk matrix — plotting feature criticality against failure probability — and show how it changes test prioritization. They discuss trade-offs: what you lose when you stop testing low-risk paths, how to update the matrix as the product evolves, and why this approach is especially relevant in the current regulatory environment. Luna pushes back on the idea that risk-based testing is just a fancy way to skip work. Lucas brings data from a 2025 industry survey showing teams that use risk matrices detect 40 percent more critical defects before release. The episode ends with a concrete first step for listeners who want to try it tomorrow.

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