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Sleuth Features

What are the features of Sleuth?

Management

  • Historical Data Consolidation
  • Data Context
  • Testing Integration

Functionality

  • Repository Integration
  • Analytics and Trends
  • Productivity Updates

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Filter for Features

Management

Historical Data Consolidation

Based on 20 Sleuth reviews. Consolidate development historical data within a single solution.
83%
(Based on 20 reviews)

Data Context

As reported in 21 Sleuth reviews. Provide insights into why trends are occurring and what issues could be related.
83%
(Based on 21 reviews)

Testing Integration

Based on 16 Sleuth reviews. Integrate with manual and automated testing tools to increase bottleneck and problem identification.
66%
(Based on 16 reviews)

Functionality

Repository Integration

Based on 21 Sleuth reviews. Integrate with one or more code repositories.
88%
(Based on 21 reviews)

Analytics and Trends

Analyze historical data to highlight trends, statistics, and KPIs. 21 reviewers of Sleuth have provided feedback on this feature.
86%
(Based on 21 reviews)

Productivity Updates

Follow assigned tasks across the development team to find quick turnarounds and bottlenecks. 21 reviewers of Sleuth have provided feedback on this feature.
75%
(Based on 21 reviews)

Value Analysis

Metric Relevance

Measures value using clear, useful metrics such as ROI.

Not enough data

Insight

Provides relevant, actionable insights to optimize DevOps pipelines for maximum value.

Not enough data

Impact Predictions

Accurately predicts value impact for project and process proposals.

Not enough data

Report Generation

Creates transparent, thorough reports detailing relevant value analytics.

Not enough data

Value Management

Planning Tools

Provides tools to plan DevOps pipelines based on value optimization.

Not enough data

Communication Tools

Enables clear communication between DevOps teams, stakeholders, and relevant parties to set value-based expectations.

Not enough data

Control

Empowers companies to govern their value streams efficiently and effectively.

Not enough data