
Sleuth
Value stream management software
Software development analytics tools
DevOps software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$35 per user per month
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What is Sleuth
Sleuth is a software development analytics tool that connects to source control and delivery systems to report on engineering throughput and delivery performance. It is used by engineering leaders and product/operations teams to track metrics such as cycle time, deployment frequency, and work-in-progress, and to identify bottlenecks across the development lifecycle. The product focuses on analytics and reporting rather than acting as a full CI/CD or end-to-end DevOps platform.
Engineering metrics and reporting
Sleuth centers on collecting and presenting delivery and productivity metrics from development workflows. It supports common analytics use cases such as tracking cycle time, lead time, and deployment-related indicators. This makes it suitable for organizations that want visibility without replacing existing developer tools.
Cross-tool workflow visibility
The product is designed to aggregate signals from multiple parts of the software delivery toolchain. This helps teams correlate work items, code changes, and delivery outcomes to understand where delays occur. It can be used to support value stream discussions by grounding them in observed workflow data.
Leader-focused operational insights
Sleuth is oriented toward engineering management and operational reporting needs. It can help standardize how teams review delivery performance across squads and time periods. This is useful when leadership needs consistent metrics for planning, staffing, and process improvement.
Not a full DevOps platform
Sleuth primarily provides analytics rather than a complete suite for source control, CI/CD, artifact management, and release orchestration. Organizations seeking an all-in-one DevOps platform may still need multiple additional tools. This can increase integration and administration effort.
Integration coverage varies
The value of the product depends on the depth and breadth of its integrations with the tools a company already uses. If key systems are not supported or only partially supported, teams may need workarounds or manual data reconciliation. That can reduce trust in reported metrics.
Metrics require governance
Like other engineering analytics tools, Sleuth’s outputs can be misinterpreted without agreed definitions and context. Teams often need to align on what is being measured (and why) to avoid incentivizing superficial optimization. This adds change-management work beyond the software deployment.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 — Free for up to 3 team members, 1 project and 2 environments. | Basic baseline visibility; limited to 3 members, 1 project, 2 environments (official documentation). |
| Standard (Self-starter) | Monthly billing: $38 per user/month; Annual billing: $35 per user/month. (Pricing page also lists $35 per user/month.) | Unlimited projects; DORA metrics (deploy frequency, change lead time, change failure rate, MTTR); 100+ no-code automations; limited to 25 developers for the self-starter subscription. |
| Enterprise | Contact Sales for custom pricing. The public Pricing page also shows an Enterprise listing at $45 per user/month. | Includes SAML SSO, on-premise GitHub support, dedicated Customer Success, 24/7 support, and custom billing & terms; contact sales for enterprise options. |
Seller details
Sleuth (company information not reliably identifiable from provided context)
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