sf-agent-framework/common/utils/metrics-tracker.md

AI Agent Orchestration Framework for Salesforce Development - Two-phase architecture with 70% context reduction

# Metrics Tracker Utility

This utility provides comprehensive metrics tracking and reporting capabilities
for Salesforce projects, teams, and implementations.

## Purpose

Track and analyze key metrics across:

- Development velocity
- Quality indicators
- System performance
- Business outcomes
- Team productivity

## Core Features

### 1. Development Metrics

```javascript
trackDevelopment({
  metrics: {
    velocity: ['story-points', 'features-delivered'],
    quality: ['defect-rate', 'test-coverage'],
    efficiency: ['cycle-time', 'lead-time'],
    productivity: ['commits-per-day', 'pr-turnaround'],
  },
  period: 'sprint',
});
```

### 2. System Metrics

```javascript
trackSystem({
  performance: {
    pageLoadTime: { target: '<3s' },
    apiResponseTime: { target: '<500ms' },
    batchJobDuration: { threshold: '2h' },
    concurrentUsers: { monitor: true },
  },
  reliability: {
    uptime: { target: '99.9%' },
    errorRate: { threshold: '<0.1%' },
    failedLogins: { alert: '>100/hour' },
  },
});
```

### 3. Business Metrics

```javascript
trackBusiness({
  adoption: {
    activeUsers: { daily: true, weekly: true },
    featureUsage: { track: 'all' },
    dataQuality: { score: true },
  },
  outcomes: {
    processEfficiency: { measure: 'cycle-time' },
    userSatisfaction: { survey: 'quarterly' },
    roi: { calculate: true },
  },
});
```

## Metric Categories

### Project Metrics

- Sprint velocity
- Release burndown
- Scope changes
- Risk indicators
- Budget tracking

### Quality Metrics

- Code coverage
- Defect density
- Technical debt
- Security score
- Documentation completeness

### Performance Metrics

- Response times
- Resource utilization
- Governor limit usage
- Batch job performance
- API call volumes

### Team Metrics

- Individual velocity
- Collaboration index
- Knowledge sharing
- Skill development
- Capacity utilization

## Usage Examples

### Real-time Tracking

```bash
# Track current sprint metrics
metricsTracker --sprint current

# Monitor system performance
metricsTracker --system --real-time

# Generate team dashboard
metricsTracker --team --dashboard
```

### Automated Reporting

```yaml
reporting:
  daily:
    - systemHealth
    - deploymentStatus
  weekly:
    - sprintProgress
    - qualityMetrics
  monthly:
    - executiveSummary
    - trendAnalysis
```

## Metric Dashboards

### Sprint Dashboard

```
Sprint 24 Progress
==================
Velocity: 85 points (↑ 12%)
Stories Complete: 18/25
Test Coverage: 91%
Defects Found: 3
Days Remaining: 3

Burndown: [████████░░░░░░] 72%
```

### System Health

```json
{
  "timestamp": "2024-01-31T10:00:00Z",
  "health": {
    "overall": "healthy",
    "performance": {
      "avgResponseTime": "423ms",
      "peakConcurrent": 1250,
      "errorRate": "0.02%"
    },
    "limits": {
      "apiCalls": "45% used",
      "storage": "62% used",
      "asyncJobs": "12 pending"
    }
  }
}
```

## Configuration

### Metric Definitions

```yaml
metrics:
  custom:
    lead-conversion-time:
      type: duration
      start: Lead.CreatedDate
      end: Lead.ConvertedDate
      aggregation: average

    feature-adoption-rate:
      type: percentage
      numerator: users_using_feature
      denominator: total_active_users
      period: rolling_30_days

  thresholds:
    velocity:
      min: 70
      target: 85
      stretch: 100
    coverage:
      min: 80
      target: 90
      excellence: 95
```

### Alert Rules

```javascript
// Define metric alerts
configureAlerts({
  velocityDrop: {
    condition: 'velocity < 70',
    severity: 'warning',
    notify: ['scrum-master', 'po'],
  },
  performanceIssue: {
    condition: 'responseTime > 3000',
    severity: 'critical',
    notify: ['dev-team', 'ops'],
  },
});
```

## Visualization

### Chart Types

- Line graphs for trends
- Bar charts for comparisons
- Pie charts for distributions
- Heatmaps for patterns
- Gauges for real-time metrics

### Export Options

- PDF reports
- Excel dashboards
- PowerBI integration
- Tableau connectors
- Real-time APIs

## Historical Analysis

### Trend Analysis

```javascript
analyzeTrends({
  metrics: ['velocity', 'quality', 'satisfaction'],
  period: 'last-6-months',
  analysis: {
    movingAverage: 3,
    seasonality: true,
    forecast: 'next-sprint',
  },
});
```

### Comparative Analysis

Compare metrics across:

- Teams
- Projects
- Time periods
- Environments
- Features

## Integration Points

### With Project Management

- JIRA integration
- Azure DevOps sync
- Rally connection
- Monday.com API

### With Monitoring Tools

- Splunk forwarding
- Datadog metrics
- New Relic APM
- CloudWatch integration

## Best Practices

1. **Define Clear Metrics**
   - Align with business goals
   - Make them measurable
   - Set realistic targets
   - Review regularly

2. **Automate Collection**
   - Reduce manual effort
   - Ensure consistency
   - Enable real-time tracking
   - Minimize errors

3. **Focus on Actionable Data**
   - Track what matters
   - Avoid vanity metrics
   - Enable decision making
   - Drive improvements

4. **Regular Reviews**
   - Daily standups
   - Sprint retrospectives
   - Monthly reviews
   - Quarterly planning

This utility enables data-driven decision making across all aspects of
Salesforce implementations.