Umano supercharges software delivery teams by providing the insights and AI coaching needed to deliver faster and with more confidence. The platform eliminates guesswork by showing teams exactly where bottlenecks exist, how their performance compares to historical baselines, and what specific actions they can take to improve. With unified visibility across the entire toolchain, teams can identify and address inefficiencies in their workflow, while ojo™'s AI-powered suggestions help implement data-inspired improvements. This comprehensive approach to performance optimization helps teams achieve higher velocity, better predictability, and stronger collaboration.

Umano's key product highlights include:

1. Unified visibility across your entire toolchain, bringing together data from all development and collaboration tools
2. Comprehensive measurement of team performance and engagement through 30 success metrics
3. AI-powered coaching through ojo™, providing data-inspired improvement suggestions and accelerated action
4. DORA metrics tracking for speed and stability, helping teams benchmark against industry standards
5. Active and Macro Cycle tools for both short-term iterations and longer-term performance improvement
6. Playbooks for defining goals, guardrails, and practices to focus improvement efforts

These features combine to create a powerful platform for measuring, understanding, and improving team performance.

ojo™ is Umano's AI-powered Team Copilot that guides teams toward peak performance. It analyzes team data across all connected tools, identifies patterns and potential issues, and provides contextual suggestions to improve workflow efficiency. ojo™ offers automated observations and suggestions based on your team's actual performance data, helping teams make data-driven decisions rather than relying on guesswork. It serves as a virtual coach that continuously monitors team performance and provides timely, actionable insights.

The Active Cycle feature in Umano supports both Scrum and Kanban teams with tools specifically designed for iterative work. For Scrum teams, Active Cycle aligns with sprint cadences, helping plan balanced sprints, track progress against commitments, and facilitate data-driven retrospectives. For Kanban teams, Active Cycle focuses on flow metrics, helping optimize work in progress limits, identify bottlenecks, and improve continuous delivery processes.

The Active Cycle includes three main components:

• Planner: Helps create more accurate, balanced, and predictable plans using historical performance data
• Tracker: Monitors team practices and progress, benchmarked against usual performance
• Reviewer: Facilitates effective retrospectives by collating team input and actions

These tools adapt to each team's specific methodology while providing valuable insights for continuous improvement.

The Macro Cycle in Umano is designed for longer-term performance analysis and improvement, helping teams zoom out to see patterns across multiple sprints or months. It includes:

• Planner: Helps teams get capacity planning right for balanced and sustainable longer-term plans
• Tracker: Monitors team practices and progress over extended periods, benchmarked against peak performance
• Reviewer: Collates input and actions from multiple cycles to identify sustainable improvements

The Macro Cycle helps teams identify trends that might not be visible within a single sprint, optimize resource allocation for longer projects, and implement more strategic improvements to their delivery practices. This longer-term view complements the sprint-by-sprint focus of the Active Cycle, providing a more complete picture of team performance.

Playbooks in Umano help teams master delivery excellence by providing structured frameworks for continuous improvement. They allow teams to:

• Define custom goals aligned with specific performance outcomes they want to achieve
• Set guardrails to maintain performance within acceptable ranges
• Implement proven practices to drive improvement in targeted areas

Playbooks make improvement more systematic and measurable by connecting specific practices to desired outcomes. Teams can track their progress against custom goals, experiment with different practices, and see the direct impact of their improvement efforts. This structured approach helps teams move beyond ad-hoc improvements to master delivery excellence through deliberate, focused practice.

Umano's AI-powered coaching through ojo™ works by continuously analyzing team performance data across all connected tools, identifying patterns and potential issues, and providing contextual suggestions for improvement. The AI engine uses machine learning to understand what "good" looks like for each team based on their historical performance and industry benchmarks. It then generates specific, actionable recommendations tailored to the team's current challenges and goals.

For example, if ojo™ detects that code review times are increasing, it might suggest specific changes to the review process based on successful patterns observed in the team's past performance. These suggestions appear directly in the team's workflow, making it easy to implement improvements without disrupting productivity. The AI coaching becomes more personalized over time as it learns from the team's unique patterns and responses to suggestions.

Umano tracks over 25 success metrics across different workflows:

• Design & Build: Lead Time, Cycle Time, Time in Status, Work in Progress, Hidden Work, Efficiency Rate, and more
• Review: Completion Rate, Stability, Throughput, DORA and more review-related metrics
• Engagement: Team Vibe, Team Input, collaboration patterns, and communication metrics

These metrics are organized into performance attributes like Speed, Progress, Predictability, and Engagement, giving teams a comprehensive view of their delivery practices.