Stable Agile Teams Make Delivery Predictable | Deborah Colombari

Deborah Colombari: Stable Agile Teams Make Delivery Predictable

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"When I have a stable team, I have reliable data." - Deborah Colombari

 

For Deborah, success as a Scrum Master comes down to one word: stability. A stable team communicates better, shares knowledge, avoids hero-driven delivery, and becomes predictable enough that the Scrum Master can use historical data instead of wishful thinking. Deborah connects stability with flow metrics and statistical thinking. When an expedite request appears, a stable team can look at its own history and forecast with a useful level of confidence. An unstable team, by contrast, creates silos, overloads key people, and turns every new request into a crisis. Vasco connects Deborah's answer to systems thinking and statistical process control: the team is part of a wider system, and its delivery capability reflects that system. The point is not to force the team to commit beyond what the system can support. The point is to observe the system, improve it, and use real data to forecast what is likely to happen.

 

Self-reflection Question: Do you know your team's delivery capability from evidence, or are you still depending on optimistic commitments?

Featured Retrospective Format for the Week: The 4Ls Retrospective

Deborah recommends the 4Ls retrospective : liked, learned, lacked, and longed for. She adds one practical extension: an action-items column. Deborah likes the 4Ls because the quadrants help the team see the same issue from different angles. Something the team longed for may connect to something they learned. Something they liked may expose what was previously missing. The action-items column matters because complaint is easy, but turning a complaint into a concrete experiment is harder. Deborah uses those actions to create or update t