Migration guide

Migrating from LinearB to Koalr

Everything LinearB does — DORA baselines, PR analytics, Slack notifications — plus deployment risk prediction, AI chat, and actual Linear PM tool integration. DORA data parity in 24–48 hours.

Worth noting: LinearB and Linear are completely different products despite the similar name. LinearB is an engineering metrics platform. Linear is a popular project management tool (think Jira, but modern). LinearB does not integrate with Linear. Koalr integrates with both.

What You Get Instead

Every LinearB feature, mapped to its Koalr equivalent — and what you gain.

DORA baselinesDORA baselines + risk prediction

Deployment frequency, lead time, change failure rate, and MTTR — identical to what you have today. Adds a 0–100 risk score on every PR before it ships, with the top contributing signals explained in plain English.

PR analyticsPR analytics + AI chat

Cycle time, review time, PR size, and merge patterns — all present. Ask Koalr: "Which engineers have the longest review wait times this sprint?" and get an instant, data-backed answer.

GitHub & Jira integrationsGitHub, Jira, and Linear integrations

Your GitHub and Jira connections reconnect automatically via OAuth in minutes. Koalr also integrates with Linear (the PM tool) — something LinearB doesn't support despite its name.

Slack notificationsSlack notifications + AI tool tracking

Deploy and incident alerts via Slack — same as before. Adds AI adoption metrics: see which teams are using Copilot or Cursor, at what frequency, and whether adoption is correlating with faster delivery.

Migration Steps

No data export or import required. Koalr reads directly from your GitHub and Jira history. DORA data parity in 24–48 hours.

1
Connect GitHub and Jira5 minutes

Install the Koalr GitHub App and authorize Jira via OAuth. Koalr immediately begins backfilling 90 days of PR history, deploy events, and issue linkage. No manual mapping required.

2
Invite your developers5 minutes

Invite engineers and team leads via email or SSO. Koalr auto-maps GitHub handles to your team members and surfaces individual and team-level metrics immediately.

3
Configure DORA baselines and goals10 minutes

Set deployment frequency and lead time targets per team. Koalr highlights where each team stands against Elite, High, Medium, and Low DORA performance bands from the DORA State of DevOps report.

4
Explore Koalr AI chatAutomatic

Open the AI chat panel and ask your first question: "Which service has the highest change failure rate this month?" Koalr answers in plain English using your live engineering data — no SQL, no dashboards to build.

LinearB vs Koalr

FeatureLinearBKoalr
DORA metrics
GitHub integration
Jira integration
PR cycle time analytics
Slack notifications
DORA benchmarks vs industry
Linear (PM tool) integrationNo — despite the name
Deployment risk prediction (0–100 score)
Risk signal explanation (why it scored high)
AI chat — ask questions in plain English
AI tool adoption tracking (Copilot, Cursor)
Test coverage integration
CODEOWNERS sync and enforcement
Price~$20–40/dev/moFree trial, then $39/seat

“[Customer quote to be added — contact us if you'd like to share your migration story.]”

Engineering Manager — [Company]

Common Migration Questions

Do I lose my DORA baselines when I switch?

No. Koalr backfills 90 days of GitHub PR and deploy history automatically on connect. DORA metrics including deployment frequency, lead time, change failure rate, and MTTR are populated within 24–48 hours.

Can I run both tools in parallel during the transition?

Yes. Koalr connects independently to GitHub and Jira via OAuth — there's no conflict with keeping LinearB active during evaluation. Most teams run them side-by-side for one sprint before switching fully.

Does Koalr really integrate with Linear (the PM tool)?

Yes. Koalr integrates with Linear (linear.app) for issue tracking and sprint data — the same way it integrates with Jira. LinearB does not integrate with Linear despite the name overlap.

How quickly will I see deployment risk scores?

Risk scores appear on the next PR opened after you connect GitHub. The model begins immediately with general signal weights — change volume, file churn, author history, test coverage delta — and improves as it learns your team's specific deployment patterns.

Ready to make the switch?

Start your Koalr trial in 5 minutes, or book a call and we'll walk you through the migration together.