The last time we looked at progress on the blog's sample xProcess project we were looking at the way that project velocity measured simply as "points per sprint" can vary significantly (Calculating team velocity, 24.02.08). If we can gather accurate data about team availability and overhead activity, using a simple measure of productivity produces much better forecasts. Here's the burndown chart as last seen on 24th February.
This sprint completed the target 69 points although as can be seen by the slightly changed positions of the steps on the burndown, some individual tasks completed on different days to the forecast.
The following sprint also completed 77 points, again showing the problem of "yesterday's weather" forecasting, albeit within a reasonably acceptable 10% margin of error. However the productivity measure is much more stable, only varying from 0.91 to 0.90.
Here's the state of the current sprint. In this case we're forecasting 64 points to be completed.
To follow through a series of articles on Scrum in xProcess start with this article on "Using the pre-defined Scrum process".
The Improving Projects blog from Huge IO (UK & Ireland) is primarily about products, organisations and projects... and how to improve them. As well as musings on agile processes, software engineering in general, and methods like Kanban and Scrum, there's advice here too for users of process planning, execution and improvement tools - and the metrics they can provide. https://uk.huge.io
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