graph-plan

To automate sprint planning with DORA metrics, you decompose epics into prioritized tasks, map dependencies, and calibrate sprint capacity using historical velocity data. This streamlines lifecycle execution and prepares your project for implementation.

The PLAN phase in mcp-graph lifecycle management is the process of structuring project execution by smartly decomposing epics into subtasks, mapping dependencies, and preparing for implementation using DORA-based estimations for sprint capacity.

To decompose epics into tasks and subtasks for sprint planning, use structured task decomposition within your mcp-graph context. This enables dependency mapping, prioritization, and sprint capacity calibration using historical velocity data.

Yes, you need historical velocity data to use DORA metrics for sprint estimation. DORA-based estimation relies on this historical context to accurately calibrate sprint capacity and forecast timelines during the lifecycle PLAN phase.

Yes, you can use mcp-graph for sprint planning with large epics and complex projects. The lifecycle automation handles various epic sizes and project complexities through smart decomposition and structured dependency mapping during planning.

Automating the mcp-graph PLAN phase requires existing mcp-graph context and historical velocity data. Without these prerequisites, the DORA-based estimation and smart decomposition capabilities cannot accurately calibrate sprint capacity or map dependencies.