Built for QA Managers
Steer distributed programs with dashboards and structured cycles—so you can answer “are we ready to ship?” with evidence, not anecdotes.
Running QA as a program, not a phase
Large studies find that QA leaders still rely on pass/fail and defect counts—but many wish they could tie quality work to business outcomes and traceability more clearly. At the same time, cross-system integration and automation skill gaps remain top organizational challenges.
Your job is to balance speed with risk: give executives confidence, protect the team from thrash, and spot coverage gaps before release night. That requires consistent data across projects—not exports patched together on Friday afternoon.
Leadership challenges
Fragmented visibility
Each squad uses a different shorthand for status; rolling it up for a release train is manual and error-prone.
Resource and risk tradeoffs
You have to choose where to invest limited hours—without metrics, those calls are guesswork.
Audit and governance questions
“What did we test for this epic?” should be answerable from records, not memory.
Scaling good habits
New hires and contractors need a repeatable model—not heroics from a few senior testers.
How XTM helps QA leadership
Reporting without assembly
Dashboards and summaries reduce one-off slide decks; trends surface where execution or coverage lags.
Aligned to Jira planning
Quality work maps to the same epics and stories engineering uses—easier alignment in program reviews.
Cycles and governance
Structure release and regression windows so teams share a common cadence.
Clearer stakeholder narratives
Give product and engineering leads a shared view of readiness instead of conflicting spreadsheets.
Native to Jira Cloud
When quality data lives next to delivery data in Jira, QA managers spend less time reconciling tools and more time improving process, hiring, and automation strategy.
See XTM in your workflow
Walk through a tailored demo with our team or start a conversation about your Jira and quality goals.