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

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New Features

• The activity sparkline in the open pull request list shows the activity level of the pull request in the past five days

With this addition, you get an immediate view of the open pull request activity and whether action is needed in order to move forward with the pull request.

• The retrospective summary is pre-selected with the past 2 weeks and the most recent repository

For your convenience, you will see by default the retrospective summary of the past two weeks of your most recently viewed repository.

• Redesign of the retrospective summary

We redesigned the retrospective summary to make is easier to see the important information at a glance.

Enhancements

• Differentiation between “approved” and “needs work” flags in Slack reminders

We have made the distinction between the “Needs work” and “Approved” flags in the Slack due date reminders. You will now be able to clearly see the actual status of a pull request and where you may need to take action:

Statistics Improvements

• Replacement of the 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 so we replaced the merge frequency statistic with the pr distribution statistic. The pr distribution 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 readable at a glance, we reordered the stacked bars to show the open pull requests on the bottom. It should make the graph more useful and provide a better overview of the pull request workload.

• Addition of useful context in all the single pull request tool tips

We now display additional data points in the pull request tool tips, including 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 scatter plot, we added a summary that includes the aggregated total amount of added & removed lines of code per day. The tool tip now includes the added/removed lines of a single pull request.