How does Tenhaw compare to Linear for engineering teams?

Linear is an exceptional issue tracker with a beautiful, fast UX that engineers love. Tenhaw is a delivery intelligence platform built for delivery leaders. Where Linear tracks issues through states, Tenhaw tracks business outcomes, runs probabilistic forecasting, includes 11 AI workers, and monitors team health. Teams that need leadership visibility beyond issue tracking choose Tenhaw.

Is Tenhaw as fast and well-designed as Linear?

Tenhaw prioritises delivery intelligence over keyboard shortcuts. While Linear's minimalist UX is best-in-class for individual engineers, Tenhaw's interface is designed for delivery leaders who need dashboards, forecasts, and value reports. Both are modern, responsive applications - they're built for different audiences.

Can small teams use Tenhaw or is it only for large organisations?

Tenhaw's Starter plan at £100/month is designed for small teams and startups. You get outcome-driven backlogs, Monte Carlo forecasting, and AI workers from day one. As you scale, Tenhaw grows with you - unlike Linear, which requires workarounds for cross-team visibility.

Does Tenhaw integrate with GitHub like Linear does?

Yes. Tenhaw integrates with GitHub and GitLab for code linking and PR tracking. The key difference is what happens with that data - Tenhaw uses it for AI-powered risk prediction and delivery intelligence, not just status updates.

What does Tenhaw have that Linear doesn't?

Tenhaw adds outcome-driven backlogs (value tracking in £/$), Monte Carlo probabilistic forecasting, 12 built-in AI workers, team health and psychological safety tracking, and portfolio-level delivery intelligence. These are capabilities Linear doesn't offer natively.

Is Linear good for measuring delivery outcomes?

Linear excels at fast issue tracking and developer workflow but focuses on task completion rather than business outcome measurement. Tenhaw is built around outcome-driven backlogs and tracks the monetary value of delivered work, which Linear does not offer.

Does Linear have Monte Carlo forecasting?

Linear does not include Monte Carlo forecasting. It provides cycle-based progress tracking and project timelines, but probabilistic delivery forecasting is not part of its feature set. Tenhaw includes Monte Carlo forecasting as a core capability.

How much does Linear cost?

Linear offers a free plan for small teams. The Standard plan is $8 per user per month and the Plus plan is $14 per user per month. Linear does not charge extra for features like cycles or project views.

Does Linear have AI features?

Linear has added AI features including auto-labelling, issue summarisation, and natural language filtering. Tenhaw takes a broader approach with 11 AI workers that handle backlog management, forecasting, and delivery analysis rather than just interface automation.

Can Linear track team health and wellbeing?

Linear does not have built-in team health or wellbeing tracking. It focuses on issue throughput and cycle progress. Tenhaw includes team health tracking alongside delivery metrics, helping leaders spot burnout risks before they affect output.

Is Linear suitable for large enterprises?

Linear is popular with startups and mid-size teams but has been expanding its enterprise features. It lacks some enterprise staples like deeply customisable workflows and advanced audit logging that larger organisations may require. Its strength remains speed and simplicity.

What is the difference between Linear cycles and sprints?

Linear cycles are time-boxed periods similar to sprints but with a lighter-weight approach - there is no sprint planning ceremony built into the tool. Tenhaw does not use sprints or cycles, instead focusing on continuous flow with Monte Carlo forecasting to predict when work will be done.

Tenhaw vs Linear

Linear is fast issue tracking. Tenhaw is intelligent delivery.

Built by delivery leaders from

How does Tenhaw compare to Linear?

Linear is loved by engineering teams for its speed, keyboard shortcuts, and beautiful UX. It's one of the best issue trackers ever built. But Linear was designed for engineers managing issues - not for delivery leaders managing business outcomes. Tenhaw bridges that gap with outcome tracking, probabilistic forecasting, AI workers, and team health monitoring.

What Linear does well

We believe in honest comparisons. Here's where Linear genuinely excels:

Best-in-class UX - fast, keyboard-driven, beautifully designed
Excellent developer experience with deep GitHub/GitLab integration
Opinionated workflow that reduces configuration overhead
Strong cycle-based planning for engineering teams
Growing quickly with a passionate community

Tenhaw vs Linear: A detailed comparison

How the two platforms compare across the capabilities that matter most to delivery leaders.

Outcome Tracking vs Issue Tracking

tenhaw

Tenhaw connects every piece of work to a measurable business outcome. When you ship a feature, you don't just close a ticket - you update the value it delivered. Leadership sees engineering effort in terms of business impact: "The team delivered £350K of measurable value this quarter."

Linear

Linear excels at tracking issues through workflow states - backlog, in progress, done. It's fast and clean. But there's no concept of business value. You can't answer "what was the ROI of our last cycle?" because Linear measures throughput, not outcomes.

Data-Driven Forecasting vs Cycle-Based Planning

tenhaw

Tenhaw runs 10,000 Monte Carlo simulations to produce probabilistic delivery dates. Instead of promising "we'll have it by end of cycle," you say "85% confident we deliver by March 15" - and that confidence level updates automatically as conditions change.

Linear

Linear uses cycles (similar to sprints) for planning. Teams commit to work at the start of a cycle and track progress. But there's no probabilistic forecasting - when leadership asks "when will this project be done?" the answer is still a best guess.

11 AI Workers vs Clean Manual Workflows

tenhaw

Tenhaw ships with 11 AI workers that automate story writing, backlog prioritisation, blocker detection, risk prediction, and retrospective analysis. They work continuously in the background, surfacing insights and handling toil that would otherwise consume your team's time.

Linear

Linear's philosophy is minimalist - it keeps the interface clean and fast. While it has some automation features, it doesn't include AI delivery intelligence. There's no AI story writing, no predictive risk analysis, and no automated blocker detection.

Leadership Visibility vs Engineering Focus

tenhaw

Tenhaw is built for the delivery leader's perspective - value dashboards, probabilistic forecasts, team health scores, and portfolio-level views. CTOs and Heads of Delivery get the data they need without asking their teams to generate reports.

Linear

Linear is built for engineers. It's excellent at what it does, but leadership visibility is limited. There's no native value reporting, no delivery confidence metrics, and no team health dashboards. Getting executive-level insights requires manual report building.

Feature-by-feature comparison

A comprehensive look at what each platform offers across delivery intelligence, AI, and project management.

Delivery Intelligence

Feature	Tenhaw	Linear
Outcome-driven backlogs
Value delivery tracking (£/$)
Monte Carlo forecasting
Risk prediction (AI)
Team health tracking

AI & Automation

Feature	Tenhaw	Linear
12 built-in AI workers
AI story writing
AI blocker detection
AI retrospective analysis
AI backlog prioritisation

Issue Tracking & Planning

Feature	Tenhaw	Linear
Kanban boards
Cycle/sprint planning
Keyboard-driven UX
GitHub/GitLab integration
Custom views & filters

Why delivery leaders switch from Linear to Tenhaw

Linear tracks issues beautifully, but issues aren't outcomes

You can have a perfect velocity chart in Linear and still have no idea whether your team delivered any business value. Tenhaw connects every ticket to measurable impact.

Cycles help with planning, but they don't forecast

When your VP asks "when will Project X be done?" you need a probabilistic answer, not "we think two more cycles." Tenhaw gives you Monte Carlo-backed delivery dates.

Small teams outgrow Linear's simplicity

Linear is perfect for a single squad, but as you scale to multiple teams, you need cross-team forecasting, portfolio views, and value tracking that Linear doesn't offer.

AI should do the toil, not your engineers

Tenhaw's 11 AI workers handle story writing, prioritisation, and risk detection automatically. Your engineers spend their time building, not managing their tool.

Team health is a delivery metric

Linear doesn't track it. Tenhaw monitors psychological safety and wellness automatically, alerting you before burnout impacts your team's performance.

Switching from Linear is easier than you think

Every Tenhaw customer gets a dedicated product engineer assigned to their account. Not a support agent. Not a chatbot. A real engineer who joins your calls, migrates your data, and ensures you get value from day one.

Create your sandbox

Enter your website and get a free workspace pre-loaded with sample data. See the platform in minutes, not weeks.

Your engineer migrates your data

Your assigned Tenhaw engineer imports your Linear projects, backlogs, and team data. They handle everything. Zero effort from your team.

Go live with zero downtime

Your team keeps working in Linear until the cutover. No disruption. No data loss. Your engineer stays on-call through the transition.

Full transparency

We're a startup. That's your advantage.

Tenhaw is a new company, and we treat every customer like our most important one - because you are. You get direct access to the founding team, a dedicated product engineer on your account, and a platform that evolves based on your feedback. No ticket queue. No 6-month feature request cycle. We build what you need, fast.

See how we protect your data →

See what delivery intelligence actually looks like

Real-time operational intelligence, AI insights, and team health - all in one screen. This is what Linearcan't show you.

app.tenhaw.com/operations-intelligence

Team Health

4.2/5

Risk Exposure

Low

Quality

92%

Delivery Flow

On Track

Team Health Trends

Collaboration

Pace

Autonomy

Mission

Risks & Issues3 active

●

API vendor contract renewal due

High impact

●

CI pipeline intermittent failures

Med impact

●

Design system migration blocked

Med impact

Delivery Flow

Sprint 1Sprint 12

Velocity trending up 12%

AI Insight

"Review stage is your bottleneck. Tickets spend 2.3x longer there than any other stage."

Frequently asked questions

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