LinearB
Sprig
| Feature | LinearB | Sprig |
|---|---|---|
| Pricing | Free / from $39/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best For | engineering-managers, vp-engineering, ctos, devops-teams | product-managers, ux-researchers, growth-teams, product-designers |
| Founded | 2019 | 2017 |
| Cycle Time Metrics | ✓ | ✗ |
| Dora Metrics | ✓ | ✗ |
| Pr Insights | ✓ | ✗ |
| Workflow Automation | ✓ | ✗ |
| Team Benchmarks | ✓ | ✗ |
| Planning Intelligence | ✓ | ✗ |
| Investment Profile | ✓ | ✗ |
| In App Surveys | ✗ | ✓ |
| Session Replay | ✗ | ✓ |
| Ai Analysis | ✗ | ✓ |
| Targeting | ✗ | ✓ |
| Heatmaps | ✗ | ✓ |
| Feedback | ✗ | ✓ |
✓ LinearB Pros
- Correlates engineering metrics with business outcomes
- Automated workflow improvements (WorkerB)
- Benchmarks against industry standards
- Identifies bottlenecks in dev process
✗ LinearB Cons
- Expensive for large engineering teams
- Can feel like surveillance to developers
- Metrics can be gamed if not used carefully
✓ Sprig Pros
- In-context user research
- AI-powered analysis
- Good targeting options
- Integrates with product
✗ Sprig Cons
- Expensive at scale
- Limited to in-app research
- Newer platform
The Verdict
LinearB is built for engineering managers and vp engineering, with a focus on cycle-time-metrics and dora-metrics. Sprig targets product managers and ux researchers and leads with in-app-surveys and session-replay.
Sprig uses custom enterprise pricing, while LinearB starts at $39/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, LinearB offers broader built-in capabilities (7 features vs 6), while Sprig takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.