DevOps Culture and Practice with OpenShift by Tim Beattie Mike Hepburn Noel O’Connor and Dónal Spring

Author:Tim Beattie, Mike Hepburn, Noel O’Connor, and Dónal Spring
Language: eng
Format: epub
Publisher: Packt Publishing Pvt. Ltd.
Published: 2021-08-10T00:00:00+00:00

All of the artifacts we've generated on the Discovery Loop and Options Pivot are useful to look at, collaborate on, and refine further when performing Product Backlog Refinement. They too are all living, breathing artifacts and, often, conversations during Product Backlog Refinement trigger further updates to these. So, for example, we may add a new deliverable to our Impact Map and connect it to an impact and actor to test with. We may elaborate on some details on the Event Storm as we start to consider the implementation details of an associated backlog item. As new items are captured from Product Backlog Refinement, the Impact and Effort Prioritization Matrix, How-Now-Wow Prioritization Matrix, and Value Slice board artifacts are all available to relatively plot the new item against existing items. In Chapter 17, Improve It, we'll return to the Options Pivot following an iteration of the Delivery Loop and look at how the measurements and learning captured from delivery can drive further Product Backlog Refinement.

Arguably one of the most important aspects of Product Backlog Refinement is prioritization and, in particular, prioritizing what is toward the top of the Product Backlog. This is what the team will pull from when planning their next iteration of the Delivery Loop. So, it's important that the items at the very top of the backlog truly reflect what is most valuable and help generate the outcomes that matter.

For more details on Product Backlog Refinement and to converse with the community, take a look at the Open Practice Library page at openpracticelibrary.com/practice/backlog-refinement.

We've already seen a few tools that help with initial Product Backlog generation and giving the first set of priorities. Let's look at a few more that will help with ongoing Product Backlog prioritization.

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