In this episode of Software Testing with Fexingo, Lucas and Luna explain how the Cost of Delay framework can help QA teams decide which tests to automate first. Lucas walks through a concrete example: a fintech app with a login flow, a payment flow, and a reporting dashboard. Using Cost of Delay — calculated as value per unit time — they show why a slow payment test costs $50,000 per week while a login test costs $5,000. They also discuss the four classic delay types: expedite, standard, fixed date, and intangible. Luna pushes back on whether the math is always that clean, and Lucas admits it's a model, not a spreadsheet. This episode is grounded in a real decision-making framework from Don Reinertsen's 'Principles of Product Development Flow' and gives listeners a repeatable method for test prioritization. No fluff, just one practical tool you can use next sprint.

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