Ogoodo
Revitalize agile workflows with AI-powered Kanban metrics

Available On
Desktop
Target Audience
- Agile teams transitioning from Scrum
- Project managers needing predictive insights
- Software development teams
- Remote work coordinators
Hashtags
Overview
Ogoodo transforms Kanban from simple task boards into a strategic agile framework. Automatically tracks team performance metrics and uses AI to predict task completion times, helping teams adapt faster than traditional sprint-based methods.
Key Features
AI Predictions
Estimates task timelines using real-time team performance data
Auto Metrics
Tracks lead/cycle times without manual configuration
WIP Limits
Enforces work-in-progress constraints for better flow
Desktop Apps
Native applications for Windows and Mac systems
Retro Analytics
Quantifies improvement efforts with historical data
Use Cases
Manage work-in-progress limits effectively
Predict realistic task completion dates
Perform data-driven agile retrospectives
Track team performance without spreadsheets
Organize complex workflows with sub-boards
Pros & Cons
Pros
- AI-powered timeline predictions improve planning accuracy
- Automatic metrics eliminate manual tracking work
- Desktop apps for offline access & better performance
- True Kanban framework implementation (not just boards)
Cons
- Less suitable for Scrum-focused teams
Pricing Plans
Free Plan
Features
- AI timeline predictions
- Automatic metrics tracking
- Desktop applications
- Unlimited sub-boards
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
How is Ogoodo different from other Kanban tools?
Ogoodo focuses on Kanban framework implementation with built-in WIP limits and automatic metrics, rather than just providing board visualization.
Do I need to manually track metrics?
No, lead times and cycle times are measured automatically without additional configuration.
How accurate are the AI predictions?
Predictions are based on real-time team performance data and historical metrics for plausible estimates.
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