Improvement Engine (LinearB) vs. Developer Tracking (Sleuth)

Rigid, dev-focused reports won’t help with project forecasting, accelerating timelines, or business alignment. Leaders who want to drive operational excellence and business outcomes choose LinearB for its:

DORA metrics: LinearB starts there, but goes much deeper into leading indicators

Resource Allocation: Quantify engineering impact and alignment to business priorities

Workflow Automation: Reduce cycle time by an average 44% in first 120 days

Engineering Benchmarks: Understand metrics better by seeing how you stack up to the industry

R&D Leaders trust LinearB to improve the ROI of their investments

Why Choose LinearB Over Sleuth

Business Alignment Reporting

Total Metrics Flexibility

In-App Benchmarks

PR-Policy-As-Code

One Click Automation Workflows

In-App Recommendations

Project Forecasting

Improvement Playbooks

Ability to Use ANY Tool

Cost Capitalization

Sleuth

Top 5 Reasons People Choose LinearB Over Sleuth

Workflow Automation

Self-Service Flexibility

Project Forecasting Metrics

In-App Benchmarking

R&D Resource Allocation

Our Improvement Formula:

Benchmark > Automate > Improve with LinearB

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Dev-Only Metrics Are a Blurred Picture of Engineering Health

DORA metrics and git insights are great, but they’re not the only things leaders need to understand the health and business impact of their engineering organization. To drive active improvement, impact metrics, automation, and business alignment are required–Sleuth doesn’t provide all of these capabilities. LinearB does. With LinearB, you get:

Foundational metrics like DORA for free (yeah…free!)

Industry standard benchmarking for goal and OKR setting

Data and KPIs used for predictable project forecasting

Delivery pipeline automation that reduces cycle time by 44%

Executive level resource allocation and cost capitalization reporting