Sprint velocity is highly variable. What technical root causes do you check?
TESTS: Debugging velocity variance with data, not assumptions. OUTLINE: Check scope stability via carryover, flow via cycle time, quality via rework, and estimation via point variance. RED FLAG: Blaming people or treating velocity as a performance target.
WHAT IT TESTS: Whether you treat velocity variance as a systems debugging problem and separate technical signal from noise. ANSWER OUTLINE: First, scope stability via carryover and unplanned work ratios. Second, flow health via cycle time distributions, WIP limits, and queue times in review or CI. Third, quality drag via rework rates, bug escape percentages, and incident interrupts. Fourth, estimation noise via story point variance and ticket splitting.
Read the original → getdx.com
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