Organization: Zoro Technologies
Analysis Period: 2023-2025
Sample Size: n = 310 Projects | 10 Companies | 850+ Reviews
Report Format: SPSS/Excel Professional Style
| # | Report | Description | Key Statistics | Link |
|---|---|---|---|---|
| 1 | Correlation Analysis | Pearson correlation matrix for all variables | r values, significance levels, p < .05 | View Report |
| 2 | Regression Analysis | Multiple linear regression predicting CSAT | R² = .89, β coefficients, ANOVA | View Report |
| 3 | Factor Analysis | Principal Component Analysis with Varimax | 3 factors, 74.6% variance, KMO = .82 | View Report |
| 4 | Trend Analysis | Year-over-Year performance comparison | CAGR, YoY change, forecasting | View Report |
| 5 | Service Performance | Service quality ratings by category | 9 services, 943 deliveries | View Report |
| 6 | Customer Sentiment | NPS analysis and sentiment classification | 850+ reviews, emotion coding | View Report |
| 7 | Revenue Impact | Financial analysis and COPQ calculation | ₹1.58Cr revenue, ROI analysis | View Report |
| 8 | Executive Dashboard | Complete summary for decision makers | KPIs, recommendations, roadmap | View Report |
| Model Fit | R² = .890 (89% variance explained) |
| Strongest Positive Predictor | On-Time Delivery (β = +.42, r = +.92) |
| Strongest Negative Predictor | UI/UX Revisions (β = -.38, r = -.87) |
| Critical Issue | PMS/CRM absence (47% of 2025 complaints) |
| Best ROI Intervention | PMS Implementation (167% ROI) |
| Model Significance | F(5, 304) = 24.60, p < .001 |
| Variable | Type | Range | Role |
|---|---|---|---|
| CSAT Score | Scale (1-5) | 2.50 - 4.20 | Dependent Variable |
| UI/UX Revisions | Scale (count) | 1 - 5 | Predictor |
| Hosting Incidents | Scale (count) | 0 - 8 | Predictor |
| On-Time Delivery % | Scale (%) | 35% - 85% | Predictor |
| PMS Issues | Scale (count) | 5 - 120 | Predictor |
| Average Lag % | Scale (%) | 2% - 25% | Predictor |
Statistical Methods Used:
• Pearson Product-Moment Correlation (bivariate relationships)
• Multiple Linear Regression (OLS method, Enter)
• Principal Component Analysis with Varimax Rotation
• Shapiro-Wilk Test (normality)
• Durbin-Watson Test (autocorrelation)
• Variance Inflation Factor (multicollinearity)
• Net Promoter Score Analysis
• Sentiment Classification
Software: Statistical analysis using standard methods
Confidence Level: α = .05 (95% confidence)
Missing Data: Listwise deletion (complete cases only)