So the team has decided to move off Linear. Now what? The decision is the easy part. The hard part is the week that follows: exporting years of issues, convincing skeptical engineers that the new tool won’t slow them down, and rebuilding workflows that used to feel invisible. Whether the trigger was pricing, a missing feature, or a team that simply never clicked with Linear’s keyboard-first philosophy, the getting-started phase is where most migrations quietly succeed or fail. (Linear (software)))
This guide walks through that phase in order. It covers how to pick the right alternative for your actual workflow, how to migrate without losing history, and what to configure in the first week so the new tool sticks. It also flags the mistakes that derail migrations again and again, because most of them are predictable and avoidable.
Why Teams Leave Linear in the First Place
Linear built its reputation on speed and opinionated defaults. That is also why some teams outgrow it. The most common reasons for switching tend to fall into a few buckets:
- Scope mismatch. Linear is built for software issue tracking. Teams that need roadmapping, docs, or cross-functional project management often end up adding extra tools.
- Workflow rigidity. Opinionated defaults work until your process does not match them. Teams with unusual review gates or compliance steps sometimes fight the tool.
- Cost at scale. Per-seat pricing adds up, especially when non-engineering stakeholders need visibility but not full editing rights.
- Fit with existing tools. Teams already deep in GitHub, Atlassian, or Notion sometimes prefer to consolidate rather than maintain another subscription.
None of these are indictments of Linear. They are simply signs that the tool and the team have drifted apart. Naming the real reason before you shop matters, because it determines which alternative actually solves the problem.
Step 1: Define What “Alternative” Means for Your Team
Here is the first trap. People search for “Linear alternatives” and land on a list that mixes issue trackers, general project management platforms, and documentation tools. Those are not interchangeable, and picking the wrong category wastes months. (Steam deck out of stock alternatives 2026)
Before evaluating anything, write down three things:
- The core job. Is this tool primarily for engineering issue tracking, or for company-wide project coordination?
- The must-have integrations. Usually source control, CI, and chat. Anything without native support for these is a hard no.
- The non-negotiables. SSO, audit logs, API access, self-hosting, or whatever your security team requires.
A team that only needs fast issue tracking will be miserable in a sprawling work-management suite. A team that needs cross-departmental roadmaps will feel cramped in a pure issue tracker. Getting this framing right on day one saves weeks of demos.
Step 2: Compare the Main Contenders Honestly
The comparison table below reflects the general positioning of each tool rather than exact pricing, since pricing in this category changes constantly and any number printed here would be stale by the time you read it. Verify current tiers on each vendor’s official pricing page before you commit.
| Tool | Best fit | Typical trade-off |
|---|---|---|
| Jira (Atlassian) | Large engineering orgs with complex, configurable workflows | Setup overhead; needs an admin who enjoys configuration |
| GitHub Issues and Projects | Teams already living in GitHub | Lighter roadmapping; less polished for non-engineers |
| Asana | Cross-functional teams with heavy project coordination | Less native to engineering workflows |
| ClickUp | Teams that want many features in one platform | Feature density can overwhelm new users |
| Shortcut | Product teams wanting a middle ground | Less surrounding tooling than the giants |
| Notion | Teams that want docs and tracking in one place | Databases require manual discipline to stay clean |
Two practical notes. First, GitHub Issues and Projects are bundled with GitHub plans, which makes them the cheapest credible option for teams already on the platform. Second, the incumbent Jira remains the default for a reason: its configurability is unmatched, though that same flexibility is what makes it slow to set up. For a broader look at how tool categories fragment and how to navigate them, the same evaluation discipline applies whether you are comparing project trackers or weighing consumer hardware choices — the lesson is identical: match the tool to the job, not to the hype.
Step 3: Run a Short, Structured Trial
Most teams trial too many tools for too long. A tighter approach works better.
- Shortlist two tools, not five. More options produce worse decisions and longer delays.
- Run a two-week trial with real work. Not a sandbox. Import a slice of actual issues and run a real sprint in the tool.
- Assign one owner per tool. Someone has to configure it and answer questions during the trial.
- Collect feedback with a short survey. Three questions: what felt faster, what felt slower, what blocked you.
- Decide on a date. Set the decision meeting before the trial starts so it cannot drift.
The single most common mistake here is trialing with dummy data. Teams that import real, messy, historical issues discover integration gaps and permission problems that a clean demo never surfaces. Real data is the honest test.
Step 4: Plan the Migration Before You Touch Anything
Migration is where “getting started” becomes real work. The good news is that most alternatives support CSV import or API-based migration, and Linear’s own documentation describes its export options. Check each destination tool’s official docs for current import support before you promise a timeline. (Best midjourney alternatives for ai art)
A workable migration sequence looks like this:
- Freeze the source. Announce a cutoff date after which no new issues are created in Linear.
- Export everything. Issues, comments, attachments, labels, and user lists. Attachments are the usual casualty of migrations, so verify they survive.
- Map the schema. Decide how Linear’s states, labels, and projects translate to the new tool’s objects. Write the mapping down.
- Import into a test workspace first. Never import straight into production.
- Spot-check a sample. Open twenty random issues and confirm comments, assignees, and dates survived.
- Import for real, then archive the source. Keep Linear read-only for a month as a reference.
One detail people forget: user mapping. If email addresses don’t match exactly, assignees get dropped silently. Check that before the real import, not after.
Step 5: Configure the New Tool in the First Week
The first week in a new tool sets habits that last for years. Resist the urge to recreate Linear exactly. If the old setup had problems, importing those problems wholesale defeats the purpose of switching.
Focus on five configuration tasks:
- Trim the workflow. Most teams need four or five states, not twelve. Fewer states mean less debate about which one applies.
- Set up integrations first. Source control, CI, and chat before anything else. An issue tracker disconnected from code is just a to-do list.
- Define conventions in writing. How are issues titled? What counts as “done”? Where do bugs go versus feature requests? A one-page conventions doc beats a long wiki.
- Configure notifications conservatively. The fastest way to lose a team is a flood of notification emails in week one. Default to minimal, then add.
- Assign an admin. One person owns configuration and triage of tool questions. Shared ownership means no ownership.
Teams that also manage content or creative work often run a parallel evaluation for their image tooling, and the same trial-first logic applies when comparing design or generation tools — short trials with real inputs beat long demos every time. (Leonardo ai alternatives for image generation)
Step 6: Onboard the Team Without a Big Meeting
Long onboarding presentations don’t work. People forget 80 percent of what they hear and remember what they do. A better pattern:
- Send a two-minute video or short doc covering the five actions people actually need: create an issue, update status, comment, filter a view, and find their assigned work.
- Hold a 30-minute open office hours in the first week for questions.
- Pair each skeptic with the admin for a ten-minute walkthrough of their specific workflow.
- Publish a “known gaps” list. If something from Linear isn’t available yet, say so publicly. Silence breeds workarounds.
The engineers who resist most are usually the ones with the most finely tuned workflows. Give them a direct line to the admin and they often become the tool’s strongest advocates.
Common Mistakes That Sink Migrations
These show up again and again, and each one is preventable:
- Migrating everything. Years of stale issues create noise. Archive anything untouched for a year or more.
- Recreating the old tool exactly. If the old setup was the problem, cloning it solves nothing.
- Skipping the test import. Silent data loss is discovered weeks later, when it is expensive to fix.
- No cutoff date. Two tools running in parallel indefinitely is the worst outcome of all.
- Over-configuring before anyone uses it. Build the minimum, then add based on real friction.
- Forgetting permissions. Non-engineers locked out of visibility will route around the tool entirely.
The pattern behind all six is the same: teams optimize for a perfect setup instead of a working one. A slightly rough tool that the team uses daily beats a beautifully configured tool nobody opens.
How Long Should the Whole Process Take?
For a team of ten to fifty people, a realistic timeline is two weeks of evaluation, one week of migration planning and testing, and one to two weeks of onboarding and stabilization. Larger organizations with compliance requirements should double the migration window. The decision itself should take days, not months — the value comes from committing and iterating, not from endless comparison.
It also helps to keep perspective on tool churn generally. The same discipline that keeps a team from endlessly switching issue trackers applies to consumer choices too, whether someone is weighing creative-tool alternatives or hunting for a restaurant recommendation: define the need, shortlist, test, commit.
Conclusion
Getting started with a Linear alternative is less about the tool you pick and more about the sequence you follow. Name the real reason for leaving. Define whether you need an issue tracker or a project platform. Trial two contenders with real data. Plan the migration before touching production. Configure conservatively in week one. Onboard with short, practical materials instead of long meetings. Do those things in order and the switch becomes a routine project rather than a crisis. Skip them and even the best tool in the category will feel like a downgrade.
FAQ
What is the closest alternative to Linear?
For pure software issue tracking, Jira and Shortcut are the most direct comparisons, while GitHub Issues is the closest in spirit for teams already on GitHub. “Closest” depends on which Linear trait matters most: speed, configurability, or fit with existing tools.
How do I migrate my issues from Linear?
Export your data from Linear, map its states and labels to the new tool’s objects, and import into a test workspace first. Most alternatives support CSV import or API-based migration. Always verify that comments, attachments, and assignees survived before running the real import.
Is there a free Linear alternative?
GitHub Issues and Projects are bundled with GitHub plans, making them the most practical low-cost option for teams already using the platform. Several other tools offer free tiers, but limits change frequently, so check each vendor’s current pricing page directly.
How long does switching take?
For teams of ten to fifty people, plan on roughly four to six weeks total: two for evaluation, one for migration, and one to two for onboarding. Organizations with compliance or SSO requirements should allow extra time for security review.
Do we need to run both tools in parallel?
Only briefly. Keep the old tool read-only for about a month as a reference, but set a firm cutoff date for new work. Running two active trackers indefinitely splits attention and guarantees that one of them rots.
What should we configure first in the new tool?
Integrations, then workflow states, then notification settings. Connecting source control, CI, and chat matters most because an issue tracker disconnected from code loses half its value. Keep workflow states to four or five and default notifications to minimal.
