The reality of team data
Engineering visibility requires absolute trust in the system of record. If the underlying tracking data is fragmented, leaders lose the signal. 📊
Solidmatics reads the tools your team already uses to tell you if the work is actually producing anything. That raw data must be pristine. Counting commits tells you nothing, but having a fragmented view of who actually did the work is just as useless.
We released two core updates to how our platform handles team lifecycles. These updates ensure the reporting you rely on remains complete, accurate, and secure.
Unified contributor profiles
Software teams shift constantly. Developers change emails, switch git accounts, or end up with duplicate profiles across Jira and GitHub.
We refined our profile unification engine to handle these shifts. Merging duplicate contributor profiles now systematically preserves all edge-case context. When you consolidate two records, compensation pairs, historical project descriptions, and job titles are automatically backfilled into the primary profile.
You get a single accurate view of every developer. No lost history. No missing salary data. Engineering managers need a clean, credible report to send up. That requires a unified system of record that does not drop context when identities merge. ⚙️
Secure data lifecycles
Business needs change. Sometimes a portfolio company pauses development. Sometimes an organization spins down completely.
We deployed a secure offboarding protocol to manage these transitions safely. When you close a workspace, the operational data enters a 30-day holding pattern before full deletion. Financial ledgers and critical metadata remain intact.
If an investor or founder needs to reverse the decision, the entire workspace can be instantly reactivated from the settings menu. It protects your data against accidental wipes while honoring strict operational boundaries. đź”’
You cannot judge whether work is real if the tracking foundation is flawed. The data you base your decisions on must be complete.