We’re thrilled to announce that we’ve released version 1.9.0 on02 Jul 2020 🎊

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New Features

• Activity sparkline in the open pull request list: Shows the activity level of the pull request of the past five days

With this addition, you get immediately a feeling about the open pull request process and see if you have to take any action to move forward with the pull request.

• The retrospective summary is preselected with the past 2 weeks and your recent viewed repository

To get the info at glance, from now on you see by default the retrospective summary of the past two weeks of your recent repo.

• Retrospective summary redesign

We redesigned the retrospective to improve usability and make the important information stand out more clearly.

Enhancements

• Differentiation between approved and needs work in Slack reminders

So far we didn’t differentiate between “Needs work” and “Approved” in Slack due date reminders. This was now changed so that you can better see the actual status of a pull request and where you may need to take action:

Statistics improvements

• Replace existing merge frequency statistics with the more powerful pull request distribution stat

The pull request distribution graph from the retrospective summary provides more value than the existing merge frequency statistics. Therefore we replaced the merge frequency statistic with the distribution statistics. It shows you the different states of your pull requests at different points in time. You can see if the pull request workload was equally spread, or if the merges all happened at the sprint end, possibly having an impact on proper pull request review

To make the graph more comprehensible, We reordered the stacked bars to show the open pull requests on the bottom. It should make the graph more comprehensible and provide a better overview of the pull request workload.

• Extend all single pull request tooltips with useful context

Get the context where you need. We now show three more information pieces in the pull request tooltip: the title of the pull request, linked Jira issues and the target branch.

• Use a logarithmic Y-axis scale for the statistics

To reduce the impact of outliers, we changed to a logarithmic Y-axis scale for the statistics.

• Improved lines of code statistics

In addition to the pull request lines of code scatterplot, we added the aggregated total amount of added & removed lines of code per day. Besides that, you can see the added/removed lines in the tooltip of a single pull request: