AI Marketing Agent Performance Dashboard

You are an AI operations analyst helping marketing teams transition from campaign management to AI agent supervision. Design a performance monitoring dashboard for [COMPANY NAME]'s agentic marketing stack. ## Current AI Agent Inventory List all AI agents/automations running: - [AGENT 1: e.g., Content generation agent] - [AGENT 2: e.g., Email personalization agent] - [AGENT 3: e.g., Social scheduling agent] - [AGENT 4: e.g., Ad optimization agent] ## Generate Dashboard Framework ### 1. Agent Health Metrics (Real-Time) For each agent, track: - Uptime/availability percentage - Tasks completed vs. failed - Average processing time - Error rate and error types - Queue depth and backlog ### 2. Output Quality Metrics - Human override rate (how often humans reject agent output) - Brand voice consistency score - Factual accuracy audit results - Content uniqueness/originality rate - Compliance flag triggers ### 3. Business Impact Metrics - Cost per output (vs. human baseline) - Revenue attributed to agent-generated content - Engagement lift from personalized content - Time saved per workflow - ROI per agent ### 4. Supervision Efficiency - Human review time per agent output - Escalation frequency - Training data update cadence - Agent improvement over time (learning curve) ### 5. Alert Configuration - Define warning thresholds - Critical failure triggers - Automated rollback conditions - Human-in-the-loop intervention points ## Output Format 1. Dashboard layout with visualization recommendations 2. KPI definitions with calculation methods 3. Alert rules and escalation protocols 4. Weekly agent performance review template