See health at a glance
Use the team summary for context, then move into the project signals that drive action.
Turn run history into clear project signals so your team can focus on failing, slow, stale, or fragile coverage first.
Start for free • No credit card required
Raw pass counts do not tell you where release confidence is eroding. Mechasm organizes real execution data into team-level context and actionable project KPIs, helping you decide what needs attention next.
Use the team summary for context, then move into the project signals that drive action.
Review duration, status, and maintenance signals to locate tests slowing feedback down.
Filter by project, time, and tags to see whether reliability and coverage are improving.
Start broad, narrow to the project, and identify the tests most likely to block confident delivery.
Compare overall health, test enablement, and quality trends across your testing surface.
Review duration metrics, execution status distributions, and slowest tests before bottlenecks spread.
Identify stale, failing, or fragile tests that need attention before confidence erodes.
Your team gets a shared view of current execution health instead of relying on stale reports or intuition.
Metrics are calculated from real execution history, not static estimates.
Filter analysis around important test subsets such as smoke or regression coverage.
Track newly created and updated tests over time to understand velocity and maintenance load.
Start free, use one real user journey, and decide from evidence generated against your application.
Add the capabilities that help your team create, run, debug, and maintain reliable tests with less friction.