Navigara vs LinearB: throughput measurement comparison

LinearB measures how quickly work moves through the pipeline, using cycle time and DORA metrics, and compares pull request size against the 8.1 million-plus pull requests in its 2026 Software Engineering Benchmarks Report. Navigara measures the merged work, scored against the same team’s pre-AI year. Speed and throughput mean different things to different people. A team can reduce cycle time while shipping smaller changes, and both instruments would report accurately.

What LinearB measures

LinearB reads Git and pull request telemetry, plus trackers and CI/CD. The reporting is pipeline-shaped: where work waits, how long reviews take, how large the changes are, how often deploys go out, and how often they break.

Its comparison point is the benchmark. Your cycle time against 8.1M+ pull requests is a fast way to find out whether a four-day review queue is normal or embarrassing. For a leader trying to fix flow, that outside reference point is the product’s strongest feature.

LinearB also attributes AI spend. Its help docs describe measuring “AI consumption across pull requests, developers, teams, models, and vendors using token usage data collected from supported AI providers,” listing Claude, Cursor, and GitHub Copilot. LinearB separately sells AI credits for its own features, bundled per user.

On individuals, LinearB names the risk directly: “yes, it is possible for an inexperienced manager to use data from LinearB or any other tool in your stack or organization to drive bad behavior.” Its safeguards are team and organization metrics by default, role-based access settings, and a Team-Only Mode that “hides individual developer metrics across the platform.”

Pricing is published, which is unusual here. Essentials is $29 and Enterprise is $59 per user per month, billed annually, with a 45-day free trial. LinearB positions Essentials for “engineering teams with 50+ developers” and Enterprise for “100+ developers.” The pricing page lists no contractual seat floor, so confirm the seat count in the quote.

What Navigara measures

Navigara reads the repository and scores each merged change.

Engineering Throughput Value (ETV) sorts each merged commit into one of five categories (features, maintenance, tests, docs, and fixes) and sums them with equal weights. Cycle time records a refactor, a performance fix, and a dependency bump as three merges, each with its own duration. ETV scores each one by the kind of work it was.

The point of comparison is your own history. Navigara “reads back through years of commits” and reports the current quarter against the pre-AI year. When your stack, team composition, and constraints differ from the benchmark corpus, your own history is the fairer comparison.

The Measure tier includes per-developer and per-team breakdowns. Navigara’s docs say individual scores “should not be read as a complete performance picture when supporting roles are present.” Both products show individual data, and both publish guidance against reading it as a verdict on a person.

Side by side

Where the two overlap

Both read Git. Both report at team level by default. Both attribute AI token spend.

The question is where they split. “Is work flowing” and “did throughput change” are different jobs, and the second one needs a scored history of what shipped before the tooling arrived.

If the AI ROI question is the one on your desk, connect a repository and Navigara reads back to your pre-AI year.

Which one fits your org

LinearB fits a team with a flow problem it can name. Review queues, oversized pull requests, deploys that arrive in a Friday clump. The benchmark corpus makes those arguments winnable in a room, and the workflow automation acts on them. LinearB’s own positioning starts at 50 developers.

Navigara fits an org of roughly 20 to 100 engineers that needs a defensible number on whether AI tooling changed throughput, with spend set against that change. The Measure tier starts at $7 per developer per month for teams up to 30.

Both are reasonable at scale. Cycle time says whether the pipeline is healthy. A baseline comparison says whether the healthier pipeline shipped more.

What neither one sees

Navigara scores “only merged commits on connected repositories,” so code review, incident response, mentorship and planning sit outside the score. Cycle time has a sharper version of a related limit: it will report a fast, smooth pipeline delivering the wrong roadmap. Navigara’s Pro tier adds roadmap alignment from Jira or Linear, traced “Commit → Issue → Project → Initiative,” and it depends on commits carrying a trace back to an issue.

Talk to us if you want to see the baseline comparison run against your own history.