Run retrospectives with better evidence
Use recurring symptoms, review friction, rework loops, and blocked work patterns to focus retros on the highest-leverage team improvements.
For Agile Coaches
Use flow, quality, and capacity signals to focus retrospectives. Help teams choose an improvement and track what changes over time.
What to look at
Combine team conversations with delivery evidence to understand where work waits, returns, or loses focus.
From signals to decisions
Use team-level evidence to shape retrospectives, capacity discussions, and AI adoption experiments.
Use recurring symptoms, review friction, rework loops, and blocked work patterns to focus retros on the highest-leverage team improvements.
Discuss cycle time, lead time, throughput, quality, and DORA-aligned delivery signals as system feedback rather than individual performance tracking.
Use resource allocation visibility to understand where team effort is going, where focus is fragmented, and where planning conversations need more clarity.
Evaluate whether AI coding assistant usage is improving flow and quality while keeping the conversation focused on outcomes, not micromanagement.
Customer perspectives
“According to our POC evaluations around IT productivity measurement, Oobeya was the tool that best met our expectations. Its integration flexibility, Symptoms capability, and DORA metrics gave us visibility across nearly 4,000 developers and helped us clearly see inefficient points, including outsourced projects.”
“Oobeya provides a comprehensive overview of our SDLC. We can see a wide range of metrics crucial for engineering efficiency by collecting data from different sources like version control, issue management, and deployment tools.”
“What stands out the most with Oobeya is its depth of analysis and insights. It provides automated recommendations based on our team's activity, and the integration with tools like Azure DevOps and SonarQube makes the transition seamless.”
Bring team-level delivery flow, quality, capacity, and recurring workflow symptoms into coaching and improvement conversations.
Yes. Review waiting time, rework, blocked work, and review delays to choose a focused improvement and follow its progress.
Yes. Use team-level metrics as a starting point for conversations about workflow and constraints. Interpret the data together with the team.
Use DORA metrics alongside workflow and quality context to discuss delivery performance and follow changes over time.
See where team effort goes and where focus is fragmented to support planning and capacity discussions.
Yes. Compare AI adoption with delivery, review, and quality trends to help teams evaluate their working practices.
Use leagues and selected engineering KPIs to support improvement initiatives. Choose goals that fit the team’s context.
Bring your team structure, current improvement goals, and recurring delivery concerns. We can focus the walkthrough on those questions.
See Oobeya in practice
Explore how delivery symptoms, team-level metrics, and capacity signals can support your coaching practice.