UCB delivery process performance metric visualizations (P.d.)

These are the visualizations shown below

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Throughput

Lead time

UCB delivery process lead time (P.d.1.1.)

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Once you have automated the plotting of delivery process performance metrics, including in those plots relevant organization events and product milestones might allow you to better understand trends, which should lead to interesting questions. Such questions should become the trigger for the performance of diagnostic analytics.

In this case, as example, we have aggregated the organization events and product milestones from the list to lead times graphs.

UCB delivery process lead time - events/milestones(P.d.1.1.e.)

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Please be aware of the change in the color scheme on this graph

Time interval (P.d.1.2.)

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Stability

Failure recovery time (FRT) (P.d.1.3.)

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Change failure rate (CFR) (P.d.1.4.)

• Y axis: rate 0<y<1

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UCB delivery process performance metric trends (P.t.)

Extending the sample period allow us to visualise trends clearer.

Throughput

Lead time (P.t.1.)

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Time interval (P.t.2.)

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Stability

Failure Recovery Time (P.t.3.)

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Throughput trends, 1 year

Yearly trends are useful when there is available data during three or more years, which is not our case for the defined observation duration. We bring here the graph anyway to provide an example of this kind of visualizations.

Lead time (P.t.4.)

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Using the same sampling time of one year, and now adding organizations events and product milestones, to see the delivery process lead time trends more clearly, we come up with (P.t.4.e)

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Please be aware of the change in the color scheme on this graph.