Understanding Analytics Dashboard

Master the analytics dashboard to gain insights into evaluation results and organizational performance.

Understanding Analytics Dashboard

The Analytics Dashboard provides comprehensive insights into your evaluation results, helping you make data-driven decisions about performance, promotions, and salary equity.

Dashboard Overview

The analytics are organized into four main sections: 1. Executive Summary - Key metrics and trends 2. Salary Insights - Data-driven salary recommendations
3. Performance Distribution - Score analysis across job bands 4. Band Analytics - Promotion readiness and salary equity by job band

Salary Insights

What It Shows

  • Entry Level Recommendations: Calculated salary ranges for entry positions (base £45K + performance adjustments)
  • Senior Level Recommendations: Calculated salary ranges for senior positions (base £75K + performance adjustments)
  • Market Analysis: How your organization compares to market standards
  • Performance Correlation: Statistical relationship between evaluation scores and salary fit

Key Metrics

  • Market Position: Competitive, Above Market, or Below Market classification
  • Suggested Adjustment: Percentage-based salary recommendations (+8%, -3%, etc.)
  • Performance Correlation: Percentage showing score-to-salary alignment (higher is better)
  • Adjustment Impact: Annual cost of implementing suggested salary changes

Calculation Method

The system uses a sophisticated formula: 1. Base Salary: £45K for entry level, £75K for senior level 2. Performance Multiplier: Each evaluation score point adds £10K baseline value 3. Market Positioning: Compares against industry standards 4. Adjustment Factor: Considers organizational performance patterns

Interpreting Results

  • "Competitive": Salaries align well with performance and market (green badge)
  • "Above Market": Consider if premium is justified by performance (blue badge)
  • "Below Market": Potential retention risk, review for adjustments (yellow badge)
  • High Correlation (90%+): Strong alignment between performance and compensation
  • Low Correlation (<70%): May indicate salary inequities or evaluation issues

Using the Help Button

Click "How are these calculated?" for detailed methodology explaining: - The £45K/£75K base salary formula - How performance multipliers work - Market positioning methodology - Cost impact calculations

Performance Distribution

What It Shows

  • Evaluation scores grouped by job band (B1-B9)
  • Average performance per band
  • Score distribution patterns
  • Performance benchmarks

Key Metrics

  • Band Average: Mean score for each job band
  • Score Range: Minimum and maximum scores
  • Employee Count: Number of evaluations per band
  • Performance Rating: Color-coded performance levels

Interpreting the Data

  • Green Bands: Above-average performance
  • Yellow Bands: Average performance
  • Red Bands: Below-average performance

Use Cases

  • Identify high-performing bands
  • Spot performance gaps
  • Benchmark against standards
  • Plan training initiatives

Promotion Readiness

What It Shows

  • Employees ready for advancement
  • Readiness scores (0-100 scale)
  • Current vs. target band analysis
  • Promotion candidate ranking

Readiness Factors

The system analyzes: - Current performance scores - Band-appropriate skill levels - Growth trajectory - Competency alignment

Readiness Levels

  • 90-100: Immediately ready
  • 75-89: Ready with minor development
  • 60-74: Needs significant development
  • Below 60: Not ready for promotion

Action Items

For high-readiness employees: - Schedule promotion discussions - Plan band transition - Prepare development plans - Consider succession planning

Salary Equity

What It Shows

  • Current salary vs. performance analysis
  • Pay equity recommendations
  • Salary range utilization
  • Performance-based adjustments

Equity Analysis

  • Over-performers: High performance, potential underpay
  • Under-performers: Low performance, potential overpay
  • Well-aligned: Performance matches compensation
  • New hires: Limited data, needs monitoring

Recommendation Types

  • Salary Increase: Performance exceeds compensation
  • Performance Review: Compensation exceeds performance
  • Market Review: Compare with industry standards
  • No Action: Well-aligned compensation

Implementation

Use recommendations to: - Plan salary review cycles - Address pay inequities - Support budget planning - Ensure fair compensation

Advanced Features

Filtering Options

  • Time Period: Select evaluation timeframe
  • Department: Focus on specific areas
  • Job Band: Analyze particular levels
  • Performance Range: Filter by score bands

Export Capabilities

  • PDF Reports: Executive summaries
  • Excel Data: Detailed analysis
  • JSON Format: System integration
  • Chart Images: Presentation materials

Real-Time Updates

  • Data refreshes automatically
  • New evaluations included immediately
  • Historical trends maintained
  • Performance tracking continuous

Best Practices

Regular Review

✅ Check analytics monthly ✅ Track trends over time ✅ Compare periods consistently ✅ Document key insights

Action Planning

✅ Use data for decisions ✅ Plan interventions early ✅ Monitor improvement ✅ Celebrate successes

Communication

✅ Share insights with leadership ✅ Discuss with managers ✅ Plan team meetings ✅ Create development plans

Common Questions

"Why are some bands empty?"

  • New job bands without evaluations yet
  • Seasonal hiring patterns
  • Organizational restructuring
  • Recent band creation

"How often should I check analytics?"

  • Weekly: During active evaluation periods
  • Monthly: Regular performance monitoring
  • Quarterly: Strategic planning sessions
  • Annually: Comprehensive reviews

"What if the data looks unusual?"

  • Verify evaluation completeness
  • Check for data entry errors
  • Consider external factors
  • Consult with HR team

Ready to explore your analytics? Open Analytics Dashboard.

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analytics reporting performance salary bands