Connect GitHub Data to Project Progress and Investment
Get better context and visibility than GitHub reports can provide alone–in minutes. Even though GitHub metrics are generally more accurate than statistics from project management services—like Jira—they still aren’t enough. Correlating the two data sources is how engineering leaders can see the big picture, confidently report on project progress, and tie these metrics to business outcomes.
By correlating Jira activity & GitHub metrics, LinearB offers a consolidated view of your GitHub stats and a new depth of insights—presented in a way that every stakeholder (from CEOs to ICs) can understand.
By correlating Jira activity & GitHub metrics, LinearB offers a consolidated view of your GitHub stats and a new depth of insights—presented in a way that every stakeholder (from CEOs to ICs) can understand.
Get better context and visibility than GitHub Reports can provide alone–in minutes. Even though GitHub metrics are generally more accurate than statistics from project management services—like Jira—they still aren’t enough.
Correlating the two data sources is how engineering leaders can see the big picture, confidently report on project progress, and tie these metrics to business outcomes.
Correlating the two data sources is how engineering leaders can see the big picture, confidently report on project progress, and tie these metrics to business outcomes.
Join the next wave of modern engineering organizations
Easily Identify Bottlenecks Using GitHub Data
What does “In Progress” really mean to your team? Jira can show you cycle time in the control chart, but it’s based on issue status, not actual GitHub activity.
LinearB calculates cycle time using GitHub analytics, where your devs actually work, so the calculation is as accurate as it can be.
Plus, LinearB enables you to understand your cycle time far more deeply than the control chart. Cycle time is broken down into four phases so you can find problems at-a-glance. And in just one click, you can drill into cycle times (and other useful metrics like PR size) of the individual GitHub branches that are driving the bottlenecks you see in individual cycle time stages.
With context like this, you can find root causes—and solutions—to improve cycle time in seconds.
LinearB calculates cycle time using GitHub analytics, where your devs actually work, so the calculation is as accurate as it can be.
Plus, LinearB enables you to understand your cycle time far more deeply than the control chart. Cycle time is broken down into four phases so you can find problems at-a-glance. And in just one click, you can drill into cycle times (and other useful metrics like PR size) of the individual GitHub branches that are driving the bottlenecks you see in individual cycle time stages.
With context like this, you can find root causes—and solutions—to improve cycle time in seconds.
GitHub Project Dashboards Align Teams to Business Priorities
Answer “When will feature X be ready?” with confidence…and more importantly, correctly.
Engineering leaders need to know where their devs’ time is being invested and when features are going to ship. GitHub reports—like lines of code, number of commits, open issues or pull requests—can’t answer that. In addition to not being helpful for seeing engineering’s impact on the business, these metrics can lead to a “big brother” culture, and can negatively affect quality.
Think about it like this: If lines of code equals productivity, devs will write lots of it, regardless of whether it’s good or not.
Improve your GitHub reporting with metrics like planning accuracy, people effort, investment profile, and added work. This dashboard provides the necessary context to promote healthy discussion around how to balance competing priorities and finite resources.
Engineering leaders need to know where their devs’ time is being invested and when features are going to ship. GitHub reports—like lines of code, number of commits, open issues or pull requests—can’t answer that. In addition to not being helpful for seeing engineering’s impact on the business, these metrics can lead to a “big brother” culture, and can negatively affect quality.
Think about it like this: If lines of code equals productivity, devs will write lots of it, regardless of whether it’s good or not.
Improve your GitHub reporting with metrics like planning accuracy, people effort, investment profile, and added work. This dashboard provides the necessary context to promote healthy discussion around how to balance competing priorities and finite resources.
Discover the real impact of data-driven engineering
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Improve GitHub Task Management with WorkerB for Slack & MS Teams
Merging devs are happy devs. Unfortunately, half of all pull requests (PRs) are idle for 50% of their lifespan. Even worse, most of the time PRs waiting 4+ days to be reviewed result in “LGTM.” This is a poor developer experience.
Using automated notifications in Slack or MS Teams, WorkerB helps reduce project idle time between hand-offs with functionality to help devs prioritize their day, automate annoying tasks, and review and approve small PRs directly from their WorkerB notifications.
Reduced idle time translates to improved GitHub statistics and ultimately faster feedback loops, more work getting merged, and a better developer experience.
Using automated notifications in Slack or MS Teams, WorkerB helps reduce project idle time between hand-offs with functionality to help devs prioritize their day, automate annoying tasks, and review and approve small PRs directly from their WorkerB notifications.
Reduced idle time translates to improved GitHub statistics and ultimately faster feedback loops, more work getting merged, and a better developer experience.
We correlate data across your tools to identify
bottlenecks and automate developer workflow optimization.
