Loopline.dev by MagiQa
For teams where "done" is not enough.
Loopline.dev
From story to release, with QA evidence.
Plan product work, run structured QA, track defects, and preserve release history in one connected system—deployed for your organization.
Not just task management. Delivery traceability.
No orphaned QA evidence.
30-day private deployment pilot for software teams of 5-25 people.
Delivery traceability chain
Live customer feedback
Flexible enough for daily operations — not only software delivery
Loopline adapts to the work you actually run. Rename the record types to match your process — orders, jobs, or stories — and the same planning, effort tracking, and traceability apply to day-to-day operations. A commercial printing company runs its order flow on it today.
“Order receiving and order management are far more visible now. We plan effort better, and we can trace any job through the whole process. Order processing time improved by about 32%.”
Latest
New — portfolio burndown & budget ceiling
Sprint burndown on one project is useful; program leads need every active sprint in one view. Loopline now surfaces portfolio burn and optional project spend caps alongside the budget rollup shipped last sprint.
Portfolio burndown
Dashboard → Burndown compares active sprints across projects — ideal points, actual burn, and variance in one grid.
Project budget ceiling
Set or clear a planned budget cap on the project overview and in project settings; variance highlights when actual cost approaches the ceiling.
Project budget & weekly timesheets
Planned vs actual rollup across sprints and backlog, plus a Mon–Sun timesheet grid — hours on tasks feed the same cost math.
Your work, tests, defects, and releases are scattered.
Boards, spreadsheets, and separate test tools break the chain from plan to proof. QA evidence gets orphaned — and release confidence suffers.
Work and tests live in different worlds
Stories sit on a board while test plans live elsewhere — context is lost every sprint.
“Did we run this on the right build?”
Without release and build context, QA history is guesswork and regressions are hard to explain.
Defects float without traceability
Bug reports miss the story, test step, and build — triage and audit take longer than fixing.
Planning, execution, and proof are disconnected
Sprints, tasks, hours, and documentation sit in silos — leaders lack one honest picture of progress.
Core modules — one connected system
Loopline is a unified delivery platform — not a loose integration of point tools. Every record shares the same project context.
Delivery & planning
- Projects, epics, user stories, and executable tasks on shared Kanban boards.
- Backlog and current-sprint views, sprint planning, burndown, portfolio burndown dashboard, Gantt, and epic board.
- Project budget rollup — planned vs actual cost across sprints and backlog, with optional budget ceiling (Team Deployment+).
- Weekly timesheets — Mon–Sun grid with task-level rows and auto-fill from logged hours.
- My Work home, inline time logging on stories, and spend visibility for PM roles (Organization Deployment).
Structured QA
- Test cases with steps attached to user stories — same narrative from backlog to verification.
- Execution cycles scoped to a story or a release, tied to builds you select in the header.
- Defects linked to test, execution, story, cycle, and build — with status workflow and notifications.
Knowledge, access & fit
- Configurable terminology — rename work items, tests, defects, releases, and builds to your own vocabulary org-wide.
- Per-project documentation portal — rich text, mindmaps, and code map.
- Templates to bootstrap projects; invite-only onboarding with org-scoped roles.
- Single app shell: projects, board, sprints, releases, test dashboard, docs, and settings.
Why not Jira, TestRail, or spreadsheets?
Buyers compare Loopline.dev to Jira, TestRail, and spreadsheets. Here is the difference: one traceability chain instead of scattered evidence.
| Tool setup | Problem | Loopline.dev |
|---|---|---|
| Jira + TestRail + spreadsheets | Work, tests, release notes, and QA evidence live in separate places | Stories, tests, builds, defects, and releases stay linked in one private system |
| Jira alone | Delivery tracking is strong, but test evidence and release proof need add-ons | Delivery traceability is native from story to release |
| TestRail alone | Testing exists away from product delivery and sprint context | QA connects to stories, tasks, builds, defects, and releases |
| Spreadsheets and screenshots | Evidence gets copied around and buried after the sprint | Evidence stays attached to execution history |
Who it is for
Teams that ship in iterations and need QA traceability — plus operations teams that need the same visibility over recurring work.
- QA leads who need execution history tied to stories, builds, and releases.
- PMs and engineering leads who want one picture from backlog to ship — including planned vs actual cost.
- Program managers who need release readiness and audit-friendly defect links.
- Software agencies and product teams of roughly 5-25 people running structured cycles on a private instance.
- Operations teams outside software — print, production, and service work — who track orders and jobs with the terminology renamed to fit.
Your instance. Your organization. Your data.
Loopline is built for private deployment — one organization per installation, roles that match your team, data you control.
- Self-hosted or dedicated-instance deployment — not generic multi-tenant SaaS signup.
- Invite-only access with Engineer, QA, and PM roles scoped to your org.
- Release and build context preserved across cycles, defects, and documentation.
- Deployment-based plans — priced per organization, not surprise per-seat math.
- 30-day private deployment pilot for software teams of 5-25 people.
Discuss your deployment on loopline.dev — 30-day pilot, license, or MagiQa-managed dedicated host.
No orphaned QA evidence.
Loopline is a private project delivery and QA evidence platform for software teams. It connects stories, test cases, builds, cycles, defects, and releases so teams can see what was planned, what was tested, what failed, and what shipped. 30-day private deployment pilot for software teams of 5-25 people.