Jira exports become workload clarity.
The gap
Jira holds the answers to "who's overloaded," "where are our estimates wrong," and "which bugs are escaping to production" — but getting there means exporting a CSV, opening a spreadsheet, and building pivot tables that go stale the moment the sprint changes.
The answer
Workloader reads that same data — a CSV export, or a live Jira API token connection — directly in the browser and turns it into ranked, actionable findings — overload, missing estimates, escaped defects, stale work, cycle-time outliers — in seconds.
Drop in any Jira CSV export — a narrow 10-column issue-navigator export or a full multi-hundred-column export, column names matched automatically — or skip the export entirely and pull issues straight from Jira with a JQL search, authenticated with a personal API token.
A CSV is parsed entirely client-side and never leaves the browser. An API token connection is forwarded, request by request, to your own Jira site through a stateless proxy — the token is held only in that browser tab and is never written to disk.
The Start screen ranks the most urgent issues across every category and offers one-click drill-downs into overload, estimate accuracy, escaped defects, stale work, and trends — filtered views carry a Back button so nothing is a dead end.
Works with a standard Jira CSV export, or connects directly to Jira Cloud with a JQL search and a personal API token — same findings, same views, either way.
A flat, ranked top-10 list of the most urgent findings across every category, plus one-click cards into the most common lenses — overdue work, who's overloaded, missing estimates, and more.
Estimate vs. actual hours by project, person, issue type, status, priority, fix version, affects version, component, or resolution — with coverage and variance in the same view.
Surfaces where estimates or actuals are missing, zero, or wildly off — without flagging brand-new issues or extrapolating from a handful of samples.
Uses Fix Version(s) and Affects Version(s) to identify bugs reported against a version that had already shipped, broken down by project, component, version, and person.
Flags cycle-time outliers and stuck issues relative to the team's own baseline, distinguishing genuinely stalled work from issues that are simply new.
Splits whatever date range is present in the import in half and compares created/resolved volume, backlog change, escape rate, estimate accuracy, and cycle time — colored good or bad.
Anyone who owns a team's delivery health and is handed a Jira export instead of an answer — program and project managers, scrum masters, engineering managers, PMO and resource planners, and delivery leads preparing for a status conversation.