Do you know how fast you were developing?

Is developer satisfaction your most important productivity metric? Learn how to move beyond flawed measurements to build a happier, more effective team.

#1about 3 minutes

From waterfall to DevOps in software development

The evolution from long waterfall cycles to faster feedback loops in Scrum and DevOps highlights the changing needs for productivity measurement.

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Why you should measure developer productivity

Measuring productivity helps identify problems, track improvements against your own baseline, and detect downward trends before they become critical.

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The dangers of misusing developer metrics

Avoid comparing teams with different contexts and incentivizing metrics, as this can lead to gaming the system and unintended negative consequences.

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Understanding the four key DORA metrics

The DORA metrics provide a starting point for measuring DevOps performance through deployment frequency, lead time, change failure rate, and time to restore.

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Adopting the holistic SPACE productivity framework

The SPACE framework offers a more holistic approach by measuring five key dimensions: satisfaction, performance, activity, communication, and efficiency.

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How to define meaningful custom metrics

Create effective custom metrics by starting with a clear goal, aligning all stakeholders, considering the impact on developer happiness, and identifying potential interferences.

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Practical metrics that improve developer experience

Focus on metrics that directly impact developer flow and satisfaction, such as reducing interruptions, minimizing wait times, and shortening the commit-to-deployment cycle.

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How to implement a successful measurement strategy

Successfully implement a measurement strategy by involving all stakeholders, defining a clear scope, choosing the right data types, and using an inspect-and-adapt cycle for evaluation.

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