Commits or pull requests in Git, assigned or resolved tasks in issue tracking tools, all can signal units of work completed. We layer engineering signals to build a comprehensive view of what engineering teams are working on and when.
More in the works…
Engineering signals and systems are necessary to measure engineering activity, but not sufficient to measure the delivery against business initiatives – they lack business context. By aggregating and analyzing these engineering signals with business information for context, engineering leadership can have make more informed decisions about the process, allocation, and structure of their organization, focusing their teams on what matters most to the business.
Without changing any tools or processes your team already uses, our Resource Allocation model (patent pending) automatically analyzes engineering signals to assemble a comprehensive picture of what engineering teams are actually working on. Business data helps the model most accurately map the investment of work and resources to different allocations.