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.