Useless Agile Metrics

TL; DR: Useless Agile Metrics

Ideally, a metric is a leading indicator for a pattern change, allowing your Scrum team to analyze the cause in time and take countermeasures. However, what if you picked the wrong metrics? What if these useless agile metrics lead you in the wrong direction while providing you with the illusion that you know where your team is heading?

Learn more about useless agile metrics, from individual velocity to estimation accuracy to utilization rates.

Useless Agile Metrics —
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Data-Informed Retrospectives

TL; DR: Data-Informed Retrospectives

In their book Agile Retrospectives, Esther Derby and Diana Larsen popularized the idea that a Sprint Retrospect comprises five stages. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives.

As I have observed in practice, many Scrum Teams either limit the data gathering part of the Retrospective, thus lacking vital information. Or they invest too much time doing so, leaving little capacity to analyze the data and come to conclusions on how to best improve as a team.

Read on and learn how you can avoid falling victim to both scenarios by gathering data continuously and asynchronously.

Data-Informed Retrospectives — Age-of-Product.oom
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Agile Metrics — The Good, the Bad, and the Ugly

TL; DR: Agile Metrics

Suitable agile metrics reflect either a team’s progress in becoming agile or your organization’s progress in becoming a learning organization.

At the team level, qualitative agile metrics often work better than quantitative metrics. At the organizational level, this is reversed: quantitative agile metrics provide better insights than qualitative ones.

Agile Metrics —
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