🔄 Feedback and Evolution Agent

🔄 Realization Plan: Feedback and Evolution Agent (24 Cycles)

Title

1 Purpose and Role in Platform Evolution 2 Feedback Sources and Supported Signals 3 Responsibilities and Feedback Types 4 Inputs: UX Feedback, Error Logs, Telemetry, Traces 5 Inputs: Segment, Mixpanel, Braze, Azure Monitor 6 Inputs: QA Agent, Copilot Agent, Observability Agent 7 Outputs: Feedback Reports, Insights, Feature Gaps 8 Outputs: Change Proposals and MCP Suggestions 9 Core Feedback-to-Evolution Workflow 10 Feedback Classification and Prioritization 11 Edition-Aware Feedback Routing 12 Prompt Evolution and Response Auditing 13 Semantic Feedback Linking (Routes ↔ Feedback) 14 AI Skills and Feedback Memory Graph Construction 15 Integration with Git, Azure Boards, Docs 16 Integration with MCP and Change Tracking Layers 17 Feedback Summarization and Trend Analysis 18 Risk and Impact Scoring Models 19 Human-in-the-Loop: Feedback Review Workflow 20 Recommending Rollbacks, Hotfixes, and Feature Pauses 21 Feedback as Continuous Test Generation Trigger 22 Feedback-Driven Edition Optimization (Usage vs Cost) 23 Metrics and Dashboards for Feedback Lifecycle 24 Summary, Diagram, and Conclusion