Uses machine learning to analyze project data, predict sprint outcomes, suggest story point estimates, and automate repetitive tasks like ticket assignment or status updates.
Offers fully customizable Scrum and Kanban boards for managing backlogs, sprints, and workflows, with drag-and-drop functionality and real-time updates.
Includes a wide array of built-in reports such as Burndown Charts, Velocity Charts, Cumulative Flow, and Release Planning, all exportable and shareable.
Allows team members to log work hours directly on tasks and stories, with tools for initial estimation (story points, hours) and comparison against actuals.
Offers native integrations with popular development tools like GitHub, GitLab, Bitbucket, Slack, and Jenkins, syncing code changes, deployments, and notifications.
Enables teams to define custom issue types, statuses, fields, and workflow rules to match their specific processes and terminology.
Software development teams use Yodiz to manage their entire Scrum lifecycle. Product Owners groom the backlog, creating epics and user stories. During sprint planning, the team uses AI-assisted estimation to commit to stories, which are then tracked on the sprint board. Daily stand-ups are facilitated by the visible board, and sprint reviews and retrospectives are conducted using built-in tools. This results in predictable delivery, improved team velocity, and clear stakeholder visibility.
DevOps or support teams practicing continuous delivery use Yodiz's Kanban boards to visualize their workflow from request to deployment. Work-in-Progress (WIP) limits can be set to manage capacity. The cumulative flow diagram helps identify bottlenecks in the process. This use case enables faster cycle times, reduced context switching, and a focus on finishing work rather than starting it.
Product managers utilize Yodiz to link high-level strategy with execution. They create epics representing major initiatives, break them into user stories, and prioritize them in the backlog. Release planning features help map stories to target versions. The AI insights assist in forecasting release dates based on team performance. This ensures the product roadmap is grounded in realistic capacity and development progress.
Digital agencies and consultancies use Yodiz to manage client software projects. They create separate projects for each client, use time tracking for billing, and share progress reports directly with stakeholders via portal views. The ability to customize workflows accommodates different client processes. This leads to transparent communication, accurate invoicing based on logged hours, and successful on-time, on-budget delivery.
Quality Assurance teams and developers use Yodiz as a centralized bug tracking system. Testers report bugs with detailed steps, screenshots, and environment info. Bugs flow through a defined workflow (New, In Progress, Resolved, Verified). Integration with GitHub/GitLab links bugs directly to code commits that fix them. This streamlines the feedback loop, reduces mean time to resolution, and maintains a clean, auditable record of issues.
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