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214. Métricas de productividad en equipos de software: optimizar con datos | Enrique Padilla (Kindor)
Dec 18, 2024
Enrique Padilla, CEO of Kindor, shares insights on measuring productivity in software development teams. He highlights why traditional metrics can mislead businesses and the importance of a holistic approach that combines activity with outcomes. The conversation dives into the role of AI in automating tasks and improving decision-making. Enrique also discusses the future of work, emphasizing adaptability over rigid remote or in-office policies. Listeners will learn strategies for optimizing productivity and embracing a data-driven culture.
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Quick takeaways
- Measuring productivity in software teams requires a holistic approach, combining both activity and outcome metrics to avoid misleading conclusions.
- Establishing relevant KPIs for engineers fosters clarity in career growth and aligns expectations between employees and management effectively.
Deep dives
Challenges of Measuring Technology Productivity
Measuring productivity in technology is a complex task that cannot be solved with a single metric. Leaders often struggle when they start quantifying this aspect, as relying on metrics like lines of code can lead to misleading conclusions. A comprehensive understanding of productivity requires a combination of metrics that reflect both activity and outcomes, as focusing solely on outputs might result in negative perceptions among engineers. Therefore, a holistic approach to measurement is essential for fostering effective performance and growth within technology teams.
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