Transcript:

If you're talking about Agile Release Trains (ARTs) and Agile analytics, one of the best starting points from a corporate perspective is the Scaled Agile Framework (SAFe) definition of an Agile Release Train. At its core, an ART is a group of teams and individuals organized under a common purpose.

For example, you might have several teams working on a product or a shared component of a system — these can be structured into an Agile Release Train. SAFe describes it as a long-term grouping of teams focused on a specific goal.

Analytics are always important in Agile. You're working hard to achieve outcomes, and you want to continuously assess and improve — not as a form of pressure, but as a path to growth. One of Agile’s core principles is continuous inspection and adaptation.

Agile analytics help you understand how well you’re doing and how you can improve. These can be collected at both the individual team level and the broader “team of teams” level. Common metrics include cycle time, velocity, throughput, and predictability.

These analytics should be actively used during retrospectives to help teams reflect, learn, and improve their performance. The goal is to empower teams to do better work, not to impose control.

Software companies, in particular, benefit from Agile analytics by gaining insights into both what they’re doing and how they’re doing it — always aiming for increased efficiency and continuous improvement, not through pressure but through informed, data-driven evolution.

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