Conditionality Statistics
The Statistics section provides visual dashboards to analyze beneficiary compliance rates with program conditionalities.
Access
Menu: Conditionalities → Statistics
Overview
The dashboard presents key indicators, interactive charts, and alerts to manage conditionality monitoring.
Filters
| Filter | Description |
|---|---|
| Program | Filter by program (all by default) |
| Cycle | Select a specific cycle |
Select a cycle to see detailed statistics. Global statistics display when no cycle is selected.
KPI Indicators
Statistical Cards
| KPI | Color | Description |
|---|---|---|
| Average compliance rate | Green | Weighted average of compliance rates |
| Total verifications | Blue | Number of verifications performed |
| Non-compliant | Red | Beneficiaries below threshold |
| Pending | Gray | Verifications not yet entered |
Trend Indicator
When multiple cycles are available, an arrow indicates evolution:
| Icon | Meaning |
|---|---|
| ↑ Green | Improvement from previous cycle |
| ↓ Red | Decline from previous cycle |
Charts
Distribution by Status (Pie Chart)
This chart shows verification distribution by status:
| Slice | Color | Status |
|---|---|---|
| Green | #4A7C59 | Compliant |
| Red | #EF4444 | Non-compliant |
| Yellow | #F59E0B | Partial |
| Gray | #6B7280 | Pending |
| Blue | #3B82F6 | Exempt |
Reading: A large green segment indicates good overall compliance rate.
Compliance by Type (Bar Chart)
This chart compares compliance rates between different conditionality types:
- X axis: Conditionality types
- Y axis: Compliance rate (0-100%)
Reading: Identify conditionalities with lowest rates to target actions.
Evolution Across Cycles (Line Chart)
This chart shows compliance rate trend across cycles:
- X axis: Cycle codes
- Y axis: Compliance rate (0-100%)
Reading:
- Ascending curve = improvement
- Descending curve = decline
- Stable curve = maintenance
Alerts Section
Non-compliant Beneficiaries Alert
When beneficiaries are non-compliant, an alert displays:
- Message: Number of non-compliant beneficiaries
- Note: Reminder that it may affect payments
- Link: Direct access to filtered list
Suggested Actions
- Click "View all" to access the list
- Analyze causes of non-compliance
- Decide on actions (alert, reduction, suspension)
- Document decisions
Results Interpretation
Overall Compliance Rate
| Rate | Assessment | Recommended Action |
|---|---|---|
| ≥ 90% | Excellent | Maintain efforts |
| 75-89% | Good | Identify problem cases |
| 50-74% | Average | Strengthen monitoring and communication |
| < 50% | Poor | Review criteria or processes |
Analysis by Conditionality Type
Compare rates between types:
| Situation | Analysis | Action |
|---|---|---|
| Education < Health | School attendance problem | Family awareness |
| Health < Training | Limited access to health centers | Check geographic coverage |
| All types low | Systemic problem | Review thresholds or communication |
Temporal Evolution
| Trend | Analysis | Action |
|---|---|---|
| Continuous improvement | Effective measures | Document best practices |
| Decline | Emerging problem | Identify causes |
| Stable but low | Structural problem | Rethink approach |
| Fluctuating | Inconsistent monitoring | Standardize processes |
Export and Reports
Export Statistics
- Apply desired filters
- Chart data can be copied
- Use export from verification list for details
Generate a Report
For a complete report:
- Export verifications to Excel
- Use dashboard statistics
- Combine in a summary document
Best Practices
Regular Monitoring
- Check the dashboard at least once a week
- Compare with previous cycles
- Identify early trends
In-depth Analysis
- Cross-reference data with other indicators
- Analyze by region/locality if possible
- Identify success and failure factors
Communication
- Share results with field teams
- Celebrate improvements
- Mobilize on struggling areas
Documentation
- Archive each cycle's statistics
- Document corrective actions
- Measure intervention impact