Feedback Loop Metrics

Monitor the effectiveness of closed-loop feedback systems

System Active
Last Updated: Dec 12, 21:03
Central Feedback Loop Flow
Learning from Incidents

Post-mortem analysis & root cause identification

24 Incidents Analyzed

18 Improvements Made
Model Retraining

Automated retraining & recertification cycles

147 Models Retrained

95% Auto-Certified
Updating Rules

Policy adaptation to new laws & threats

12 Rules Updated

3 New Regulations

Continuous Improvement Loop

Learning Effectiveness

Incident Resolution Rate

94%

Knowledge Retention

87%

Process Improvement Rate

76%


Overall Learning Score

8.6/10
Automation Efficiency

Auto-Retraining Success

92%

Rule Update Automation

78%

Manual Intervention Reduction

85%


Automation Score

8.5/10
System Resilience

Recovery Time (MTTR)

2.4h

Preventive Actions

73%

System Availability

99.7%


Resilience Score

9.1/10
Comprehensive Feedback Loop Metrics
Metric Category Metric Name Current Value Target Trend Status
Learning Incident Analysis Completion Rate 94% ≥90% Improving
Good
Learning Root Cause Identification Rate 87% ≥85% Stable
Good
Learning Knowledge Transfer Effectiveness 82% ≥80% Improving
Good
Retraining Automated Retraining Success Rate 92% ≥90% Improving
Good
Retraining Model Recertification Speed 2.3 days ≤3 days Improving
Good
Retraining Performance Recovery Rate 88% ≥85% Stable
Good
Policy Updates Regulatory Change Response Time 4.2 days ≤5 days Improving
Good
Policy Updates Rule Automation Coverage 78% ≥75% Improving
Good
Policy Updates Policy Consistency Score 91% ≥90% Stable
Good
System Health Mean Time to Detection (MTTD) 12 min ≤15 min Improving
Good
System Health Mean Time to Recovery (MTTR) 2.4 hours ≤3 hours Stable
Good
System Health System Availability 99.7% ≥99.5% Improving
Excellent
Feedback Loop Effectiveness Equation
System Improvement

8.7/10

=

Learning
Effectiveness

8.6
ร—

Automation
Efficiency

8.5
ร—

System
Resilience

9.1
รท 10

This equation quantifies the overall effectiveness of the feedback system where all components work together for continuous improvement

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