Reporting
WorkSight's comprehensive reporting system provides actionable insights into employee well-being, productivity, and organizational health.
Overview
The reporting system offers multiple levels of analysis:
- Individual Reports: Personal burnout trends and productivity metrics
- Team Reports: Department-level insights and comparisons
- Organizational Reports: Company-wide analytics and benchmarking
- Custom Reports: Tailored analytics for specific needs
- Automated Reports: Scheduled delivery of key metrics
Report Types
Executive Summary Reports
Monthly Executive Dashboard
typescript
interface ExecutiveReport {
reportPeriod: {
startDate: Date;
endDate: Date;
};
keyMetrics: {
organizationHealth: {
averageBurnoutScore: number;
trend: 'improving' | 'stable' | 'declining';
riskDistribution: Record<RiskLevel, number>;
participationRate: number;
};
productivity: {
tasksCompleted: number;
productivityIndex: number;
averageCompletionTime: number;
efficiencyTrend: number;
};
engagement: {
employeeSatisfaction: number;
surveyResponseRate: number;
voluntaryTurnover: number;
retentionRate: number;
};
};
alerts: {
highRiskEmployees: number;
criticalTrends: string[];
actionItems: string[];
};
recommendations: {
immediate: string[];
shortTerm: string[];
longTerm: string[];
};
}Quarterly Business Review
- Comprehensive Health Assessment: 360-degree view of organizational well-being
- ROI Analysis: Cost-benefit analysis of well-being initiatives
- Benchmarking: Comparison with industry standards and best practices
- Strategic Recommendations: Data-driven suggestions for improvement
- Goal Setting: Recommended targets for the next quarter
Departmental Reports
Team Health Report
typescript
interface TeamReport {
department: string;
manager: string;
teamSize: number;
reportPeriod: DateRange;
wellbeingMetrics: {
averageBurnoutScore: number;
scoreDistribution: number[];
riskLevels: Record<RiskLevel, Employee[]>;
trendAnalysis: {
direction: 'improving' | 'declining' | 'stable';
magnitude: number;
significance: number;
};
};
productivityMetrics: {
tasksPerEmployee: number;
completionRate: number;
averageTaskDuration: number;
productivityTrend: number[];
};
engagementMetrics: {
surveyParticipation: number;
feedbackSentiment: number;
teamCollaboration: number;
};
riskFactors: {
highWorkload: number;
lowManagerSupport: number;
poorWorkLifeBalance: number;
lackOfGrowth: number;
};
comparisons: {
vsOrganizationAverage: number;
vsPreviousPeriod: number;
vsIndustryBenchmark: number;
};
actionItems: {
immediate: ActionItem[];
shortTerm: ActionItem[];
monitoring: ActionItem[];
};
}Manager Dashboard Report
- Team Overview: Current team health status
- Individual Summaries: High-level view of each team member
- Trend Analysis: Changes in team well-being over time
- Intervention Tracking: Progress of support measures
- Goal Progress: Team objectives and achievements
Individual Reports
Personal Well-being Report
typescript
interface PersonalReport {
employee: {
id: string;
name: string;
role: string;
department: string;
};
wellbeingProfile: {
currentBurnoutScore: number;
riskLevel: RiskLevel;
primaryConcerns: string[];
strengths: string[];
trendOver12Months: number[];
};
dimensionBreakdown: {
emotionalExhaustion: {
score: number;
trend: 'improving' | 'stable' | 'declining';
factors: string[];
};
depersonalization: {
score: number;
trend: 'improving' | 'stable' | 'declining';
factors: string[];
};
personalAccomplishment: {
score: number;
trend: 'improving' | 'stable' | 'declining';
factors: string[];
};
workLifeBalance: {
score: number;
trend: 'improving' | 'stable' | 'declining';
factors: string[];
};
};
productivityMetrics: {
tasksCompleted: number;
averageCompletionTime: number;
qualityScore: number;
collaborationIndex: number;
};
personalizedRecommendations: {
immediate: string[];
behavioral: string[];
resources: Resource[];
goals: Goal[];
};
progress: {
goalsAchieved: number;
improvementAreas: string[];
strengthsLeveraged: string[];
};
}Career Development Report
- Skill Assessment: Current competencies and growth areas
- Performance Correlation: Relationship between well-being and performance
- Development Opportunities: Recommended training and experiences
- Career Pathing: Suggested next steps and timelines
Analytics and Insights
Predictive Analytics
Burnout Risk Prediction
typescript
interface BurnoutPrediction {
employeeId: string;
predictionHorizon: number; // weeks
riskProbability: {
low: number;
moderate: number;
high: number;
critical: number;
};
riskFactors: {
factor: string;
weight: number;
trend: 'increasing' | 'stable' | 'decreasing';
}[];
confidenceLevel: number;
modelAccuracy: number;
recommendedInterventions: {
intervention: string;
effectiveness: number;
timeframe: number;
cost: number;
}[];
}Turnover Risk Analysis
- Flight Risk Scoring: Probability of voluntary departure
- Contributing Factors: Key drivers of turnover risk
- Retention Strategies: Targeted interventions for high-risk employees
- Cost Impact: Financial implications of potential turnover
Trend Analysis
Organizational Trends
typescript
interface TrendAnalysis {
metric: string;
timeframe: DateRange;
trend: {
direction: 'upward' | 'downward' | 'stable' | 'cyclical';
slope: number;
rSquared: number;
significance: number;
};
seasonality: {
hasSeasonality: boolean;
peaks: Date[];
troughs: Date[];
amplitude: number;
};
changePoints: {
date: Date;
magnitude: number;
cause?: string;
}[];
forecast: {
nextPeriod: number;
confidence: number;
range: [number, number];
};
}Comparative Analysis
- Department Benchmarking: Compare teams across organization
- Industry Benchmarking: Position against industry standards
- Historical Comparison: Track progress against past performance
- Best Practice Identification: Learn from high-performing teams
Data Visualization
Dashboard Components
Chart Types
typescript
type ChartType =
| 'line' // Trend analysis over time
| 'bar' // Comparative metrics
| 'pie' // Distribution analysis
| 'scatter' // Correlation analysis
| 'heatmap' // Department/time matrices
| 'gauge' // Single metric displays
| 'radar' // Multi-dimensional comparisons
| 'histogram' // Score distributions
| 'box' // Statistical summaries
| 'sankey'; // Flow analysis
interface ChartConfig {
type: ChartType;
title: string;
data: any[];
xAxis?: string;
yAxis?: string;
color?: string[];
filters?: Filter[];
drillDown?: boolean;
exportable?: boolean;
}Interactive Features
- Drill-down Capabilities: Click to explore detailed data
- Dynamic Filtering: Real-time data filtering and segmentation
- Comparative Views: Side-by-side comparisons
- Time Range Selection: Flexible date range analysis
- Export Options: Multiple format support (PDF, Excel, CSV, PNG)
Real-time Dashboards
Live Monitoring
typescript
interface LiveDashboard {
metrics: {
[key: string]: {
value: number;
change: number;
trend: 'up' | 'down' | 'stable';
lastUpdated: Date;
};
};
alerts: {
id: string;
type: 'warning' | 'error' | 'info';
message: string;
timestamp: Date;
acknowledged: boolean;
}[];
activities: {
event: string;
user: string;
timestamp: Date;
details: string;
}[];
systemHealth: {
dataQuality: number;
responseRate: number;
systemUptime: number;
lastDataSync: Date;
};
}Custom Reports
Report Builder
Drag-and-Drop Interface
typescript
interface ReportBuilder {
reportConfig: {
name: string;
description: string;
category: string;
frequency: 'on-demand' | 'daily' | 'weekly' | 'monthly';
recipients: string[];
};
dataSource: {
tables: string[];
dateRange: DateRange;
filters: Filter[];
groupBy: string[];
};
visualizations: {
charts: ChartConfig[];
tables: TableConfig[];
metrics: MetricConfig[];
};
layout: {
sections: Section[];
styling: StyleConfig;
branding: BrandingConfig;
};
}Advanced Analytics
- Statistical Analysis: Correlation, regression, significance testing
- Cohort Analysis: Track groups over time
- Segmentation: Identify distinct employee populations
- Impact Analysis: Measure effectiveness of interventions
Automated Reporting
Scheduled Reports
typescript
interface ScheduledReport {
id: string;
name: string;
template: ReportTemplate;
schedule: {
frequency: 'daily' | 'weekly' | 'monthly' | 'quarterly';
dayOfWeek?: number;
dayOfMonth?: number;
time: string;
timezone: string;
};
recipients: {
email: string;
role: string;
permissions: string[];
}[];
conditions: {
minimumParticipation?: number;
dataQualityThreshold?: number;
significantChangesOnly?: boolean;
};
delivery: {
format: 'pdf' | 'excel' | 'email' | 'dashboard';
attachments: boolean;
compression: boolean;
};
}Alert-based Reporting
- Threshold Alerts: Automatic reports when metrics exceed limits
- Anomaly Detection: Reports when unusual patterns are detected
- Milestone Reports: Triggered by significant events or achievements
- Emergency Reports: Immediate notification for critical situations
Data Export and Integration
Export Formats
Standard Exports
- PDF Reports: Formatted, professional presentation
- Excel Workbooks: Multiple sheets with charts and pivot tables
- CSV Data: Raw data for further analysis
- JSON API: Structured data for system integration
- PowerPoint: Executive presentation templates
Advanced Exports
typescript
interface ExportConfig {
format: 'pdf' | 'excel' | 'csv' | 'json' | 'pptx';
dataOptions: {
includeRawData: boolean;
includeCalculatedFields: boolean;
includeMetadata: boolean;
anonymize: boolean;
};
formatting: {
template: string;
branding: boolean;
charts: boolean;
tables: boolean;
};
security: {
password: string;
watermark: boolean;
expiration: Date;
};
}API Integration
Real-time Data Access
typescript
// Get current metrics
GET /api/reports/metrics/{organizationId}
{
"burnoutScore": 45,
"participationRate": 87,
"productivityIndex": 92,
"engagementScore": 78,
"lastUpdated": "2024-01-15T10:30:00Z"
}
// Get trend data
GET /api/reports/trends/{metric}?period=30d
{
"metric": "burnoutScore",
"data": [
{ "date": "2024-01-01", "value": 42 },
{ "date": "2024-01-02", "value": 44 },
// ... more data points
],
"trend": "stable",
"correlation": 0.85
}Webhook Notifications
typescript
interface ReportWebhook {
event: 'report.generated' | 'alert.triggered' | 'milestone.reached';
timestamp: Date;
data: {
reportId: string;
reportType: string;
recipients: string[];
downloadUrl: string;
expiresAt: Date;
};
}Privacy and Compliance
Data Protection
Anonymization Options
- Individual Level: Remove personally identifiable information
- Department Level: Aggregate data to prevent identification
- Statistical Disclosure Control: Ensure privacy in small groups
- Differential Privacy: Mathematical privacy guarantees
Access Controls
typescript
interface ReportAccess {
userId: string;
reportType: string;
permissions: {
view: boolean;
export: boolean;
share: boolean;
modify: boolean;
};
dataAccess: {
level: 'individual' | 'team' | 'department' | 'organization';
restrictions: string[];
expiresAt?: Date;
};
auditLog: {
accessed: Date[];
exported: Date[];
shared: string[];
};
}Compliance Reporting
- GDPR Compliance: Data processing records and consent tracking
- HIPAA Compliance: Protected health information handling
- SOX Compliance: Financial controls and audit trails
- Industry Standards: Sector-specific compliance requirements
Performance and Optimization
Report Performance
Caching Strategy
typescript
interface CacheConfig {
reports: {
ttl: number; // Time to live in seconds
strategy: 'memory' | 'redis' | 'database';
invalidation: 'time' | 'data_change' | 'manual';
};
queries: {
enabled: boolean;
duration: number;
maxSize: number;
};
charts: {
preGenerate: boolean;
compressionLevel: number;
format: 'svg' | 'png' | 'webp';
};
}Optimization Techniques
- Query Optimization: Efficient database queries and indexing
- Lazy Loading: Load components as needed
- Pagination: Handle large datasets efficiently
- Compression: Reduce file sizes for exports
- CDN Integration: Fast content delivery
Best Practices
Report Design
- Clear Objectives: Define what questions the report answers
- Audience-Appropriate: Tailor content and complexity to users
- Visual Hierarchy: Guide attention to key insights
- Actionable Insights: Include clear next steps
- Regular Updates: Keep reports current and relevant
Data Quality
- Validation Rules: Ensure data accuracy and completeness
- Outlier Detection: Identify and handle anomalous data
- Missing Data: Appropriate handling of incomplete responses
- Bias Mitigation: Account for selection and response biases
- Documentation: Clear metadata and methodology notes
Troubleshooting
Common Issues
Slow Report Generation
- Check query optimization
- Review data volume and complexity
- Consider caching strategies
- Monitor server resources
Data Discrepancies
- Verify calculation methods
- Check time zone settings
- Review filter configurations
- Validate data sources
Export Problems
- Test file format compatibility
- Check permissions and access rights
- Verify storage capacity
- Review security settings
