Analysis Period

@ViewBag.FromDate.ToString("MMM dd, yyyy") - @ViewBag.ToDate.ToString("MMM dd, yyyy")

Mental Health Score Trends

Shows overall mental health score progression over time

Risk Level Distribution Trends

Tracks changes in employee risk levels over time

Sentiment Evolution

Positive Trend
+15% this period
Neutral Stable
-2% this period
Negative Decline
-13% this period

Key Improvements

Work-Life Balance
+23% improvement
Team Communication
+18% improvement
Workload Stress
-12% (reduced stress)
Management Support
No significant change

NVKN Intervention Effectiveness Tracking

CLINICAL INSIGHTS

Intervention Impact

Stress Management Workshops
+34%
Highly effective
Manager Training Program
+28%
Very effective
Flexible Work Arrangements
+22%
Effective
Team Building Activities
+12%
Moderate impact

Trend Insights & Predictions

Positive Trajectory
Mental health scores have improved 18% over the analyzed period, indicating successful intervention strategies.
Predicted: Continued improvement
Area of Concern
Management support scores remain static. This may become a limiting factor for further improvements.
Action needed: Manager training
Seasonal Pattern
Mental health scores typically dip during Q4 (holiday stress) and peak in Q2 (post-intervention period).
Plan: Preventive Q4 interventions

Key Performance Indicators

Mental Health Response Rate
Employee participation in assessments
87%
+12%
High-Risk Case Resolution
Successful intervention outcomes
73%
+8%
Workplace Satisfaction
Overall employee satisfaction score
76%
+19%
Early Warning Detection
AI-powered risk identification rate
92%
+5%

Trend-Based Action Recommendations

Continue Success

  • Maintain current work-life balance initiatives
  • Expand successful stress management programs
  • Share best practices across departments

Address Concerns

  • Implement sleep hygiene education programs
  • Review deadline setting processes
  • Enhance manager support training

Strategic Focus

  • Develop career development clarity initiatives
  • Create predictive mental health models
  • Establish quarterly trend review meetings