Jira vs Linear for capacity planning
If you run sprint planning in Jira, you probably have capacity tools — maybe clunky, maybe a paid plugin, but they exist. If you moved to Linear and tried to plan sprints the same way, you noticed the gap fast.
Here's the honest comparison.
What Jira gives you
- Rich planning plugins — Advanced Roadmaps, Tempo, Structure. Team and portfolio level, with capacity, releases, and reports
- Story points plus time tracking on the same issue, with rollups to epics and projects
- Board-level sprint reports — burndown, velocity, sprint predictability, cumulative flow
- Deep custom fields — you can bolt almost any metric onto an issue
- Configurable schemes — workflows, screens, field configs per project
Downsides: slow UI, friction for engineers, heavy config, most of the good parts are paid plugins.
What Linear gives you
- Speed and a developer-friendly UX — engineers actually use it
- Cycles instead of sprints — a simpler model: fixed cadence, rolling, no sprint open/close ceremony
- Clean estimate scale — a single float per issue, team-configured (linear, exponential, Fibonacci, t-shirt)
- Built-in burndown data — via
scopeHistoryandcompletedScopeHistoryon the cycle - Simple issue model — identifier, estimate, assignee, state, priority. Less to configure, less to break.
Downsides: no native capacity view beyond estimate totals, no first-class way to model availability (PTO, on-call, interviews), no built-in retro or standup tooling.
The specific gap: capacity
Linear tells you what's committed. It doesn't tell you what's deliverable. There's no place to mark that someone's on-call, that two people take PTO Wednesday, or that Friday is a company holiday. Linear's cycle is 10 working days on paper — but your team's actual working days vary per person per cycle.
In Jira, Tempo or Structure plugins expose that. In Linear, you either keep it in your head, maintain a spreadsheet, or bolt on a tool built for the job.
The specific gap: estimate drift
Jira's "original estimate" and "time spent" fields let teams reason about estimate quality over time. Linear gives you one estimate field — whatever it is today. If a 3-point issue becomes 8 mid-cycle, the history is gone unless you instrument it.
For teams that care about getting better at estimating, this matters.
When to stay with Jira
- You need multi-project roadmap views, portfolio planning, release management
- Your org already runs reports out of Jira and they'd have to be rebuilt
- You have a PMO that expects a specific report format
When Linear plus a capacity tool wins
- Your engineers hate Jira and adoption is your biggest risk
- You're a single-team or small multi-team shop
- You want planning to feel like part of the engineering workflow, not a compliance exercise
- You care more about cycle-level predictability than portfolio-level forecasting
The migration pattern
Most Linear migrations start with enthusiasm and hit a planning wall at month three. The team loves the UX, engineers are faster on basic flows, but leadership says "I can't tell if we're going to hit the quarter."
The fix isn't moving back. It's closing the capacity gap. Availability data, committed-vs-delivered tracking, estimate drift — the things Jira gave you for free, you now need deliberately.
Moving is reasonable. Moving without replacing the capacity view isn't. That's where most Linear migrations struggle.