Several consecutive data points located above the mean line and A sustained upward trend in the rolling average line are correct because they both indicate the team is taking longer to complete work and overall productivity is decreasing.

Several consecutive data points located above the mean line indicate a sustained shift where many cycle times are higher than the expected average. A run of points on one side of the mean suggests the process has changed and that throughput is dropping.

A sustained upward trend in the rolling average line reveals that the smoothed average of cycle times is increasing over time. A rising rolling average filters short term noise and highlights a genuine decline in productivity when it continues upward.

The rolling average line remains very close to the mean line is incorrect because that pattern shows stability and no consistent increase in cycle times. Stability is not evidence of decreasing productivity.

Multiple issues plotted below the average line is incorrect because points below the mean represent faster than average cycle times which would indicate improvement or normal variation rather than decline.

A declining spread in individual cycle times is incorrect because reduced variability means greater consistency and does not by itself show that work is taking longer. A narrowing spread can accompany process improvement.

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