Half Information is worse than no Information
GitHub is almost blind to your planning and task management activities going on in JIRA, and any insights that you derive from GitHub metrics will only paint half the picture making it dangerous to use.
Repository-level reporting doesn’t work for modern teams
All engineering organizations today have their definition of value streams, services, and products that they are actively developing which often span across repositories, mono-repos, and other models. Making metrics for each repository almost useless without the right aggregation and filtering.
Contributors and Commit graphs are not actionable
GitHub was built for a different purpose, it helps you with activity and count-based metrics on commits done by contributors, but cannot capture the outcomes that your team is driving which is of prime importance to organizations continuously delivering customer value.
GitHub reports don’t help you understand effort investment
GitHub metrics will tell you you made 100 commits last week, but it won’t answer whether these commits were made to complete planned milestones, resolve production bugs, solve tech debts, or deliver new features.
Missing engineering excellence benchmarks
Looking at benchmarks of how elite teams manage their processes, DORA metrics standards, help you make metrics actionable and understand your engineering maturity compared to elite teams. Which is completely missing from GitHub reports.
Don’t measure Developer Productivity by commit count and LOCs
Teams that use GitHub metrics for developer productivity often resort to the available metrics like the count of commits and LOCs which is worse than not measuring it. AnalyticsVerse helps you look at developer productivity across the dimensions of the SPACE framework.