Organizations celebrate measurable goals. But the moment a KPI becomes the company’s North Star, engineering, data pipelines, and even product design start to optimize for the metric rather than the underlying outcome. This episode unpacks that invisible translation: why a seemingly sensible business metric nudges architects toward particular data models, creates hidden incentives to game or shortcut quality, and encourages fast, brittle integrations that persist long after the business question changes. I’ll explain the distinct perspectives business leaders and engineers bring, show a generalized consulting example where a sales KPI reshaped architecture in costly ways, and deliver practical, little-effort actions both sides can take to keep metrics useful without letting them become structural lock‑ins. No hype, no vendor play — just concrete, usable guidance for leaders, consultants, and technologists who want clearer cause-and-effect between goals and systems.

Become a supporter of this podcast: https://www.spreaker.com/podcast/business-it-it-business--6867401/support.

To continue the conversation, follow Mirko Peters on LinkedIn, where more insights and real-world examples are shared from both business and IT perspectives.