Launching Process Map (beta)
This week, we're thrilled to spotlight the launch of the Process Map in beta—a dynamic, insightful tool designed to transform how you visualize and analyze workflow efficiency within your teams and portfolios.
Visualize how completed tasks moved through your software process!
What is the Process Map?
The Process Map is an innovative feature that offers a comprehensive overview of your team's or portfolio's task completion journey over a selected time frame. It details the number and types of tasks—be it stories, tasks, bugs, or subtasks—that were completed, providing a clear visual representation of the workflow.
Why Use the Process Map?
- Visualize Workflow Paths: See at a glance how tasks move from initiation to completion, identifying whether they follow the expected path or diverge unexpectedly.
- Identify Process Patterns: The map helps in spotting recurring patterns that might indicate bottlenecks or inefficiencies in your team's process, offering insights into areas ripe for optimization.
- Assess Task Readiness: By examining the flow and completion paths of tasks, you can gauge the effectiveness of your team's readiness and preparatory work, ensuring tasks are well-defined and achievable from the outset.
- Strategic Improvement: Use the map as a strategic tool to refine processes, reduce inefficiencies, and improve overall workflow, leading to enhanced productivity and project success.
The Process Map is more than just a visualization tool; it's a strategic asset for teams looking to optimize their workflows and improve efficiency. By providing a clear, detailed view of task completion paths, it enables teams and leaders to make informed decisions that streamline processes and enhance project outcomes.
We’ll be talking more about Process Map in the coming weeks here at The Sandbox. We’re very excited about what this could mean for you and your software process! Don’t want to wait? Let’s talk today! (link to demo scheduler)
Enhancements this Week
- Python Update: We've upgraded our Python version from 3.11.7 to 3.11.8 across various files to ensure better performance and security.
- Docker Support: Added a Dockerfile using a newer Python base image, streamlining deployment processes.
- Design Management System: Introduced models, serializers, and Figma webhook event handling for a seamless design workflow.
- Performance Metrics: Improved measures calculation, object retrieval, and project performance measurement for insightful analytics.
- API & UI Enhancements: We've restructured request parameters for measures calculation and updated date handling, alongside boosting our UI for a smoother user experience.
Bug Fixes
- Addressed data retrieval and processing issues across various components for a more reliable experience.
- Made corrections to import statements and variable names to enhance functionality.
Documentation & Tests
- Expanded our documentation to cover new functionalities and introduced tests for critical functions to ensure reliability.
Refactoring
- We've renamed types and functions for better alignment with their purpose and streamlined imports and function signatures for enhanced clarity.
Style Updates
- Updated component layouts and styling for a more attractive and responsive interface.
