Data-driven restructuring for Burkina Faso women's empowerment centers
Historically vital women's houses in Burkina Faso have lost effectiveness and are now failing in their core mission of feminine emancipation, requiring full restructuring.
FemmeMetrics enables Ministry officials and center leaders to collect real emancipation data through simple mobile surveys and SMS. The platform automatically calculates program effectiveness scores and delivers specific restructuring recommendations. This replaces guesswork with clear evidence, allowing targeted reforms that restore the core mission of feminine economic and social independence.
Women and girls in Burkina Faso (especially rural and low-income) relying on state-run empowerment centers, plus Ministry officials responsible for gender and family programs
Culturally calibrated emancipation index developed with Burkinabe gender researchers plus SMS fallback that works on basic feature phones.
professional
Drag-and-drop creation of emancipation and skills surveys in local languages
Mobile app, SMS, and USSD options for maximum reach
Real-time scores across economic, social and rights-based indicators
Rule-based recommendations with supporting evidence
Anonymous comparison against national and regional averages
Notifications when centers fall below performance thresholds
One-click national aggregated reports
Allow Ministry to define new metrics
Simple ML flags participants at risk of leaving programs
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| org_type | text | No |
| region | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| title | text | No |
| questions | text | No |
| active | bool | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| survey_id | uuid | No |
| participant_phone | text | No |
| answers | text | No |
| submitted_at | timestamp | No |
| channel | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| emancipation_score | int | No |
| period | text | No |
| calculated_at | timestamp | No |
Relationships:
/api/surveysCreate new survey template
/api/responses/webhookIngest SMS and USSD responses
/api/metricsFetch calculated emancipation scores and benchmarks
/api/recommendationsGenerate restructuring suggestions for a center
100 responses/month
Single region
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 25 | 32% | $224 | $2,688 |
| Month 6 | 180 | 41% | $2,066 | $24,792 |
The only platform that turns rural Burkina Faso gender program data into clear restructuring decisions.
1. Present findings from preliminary research to the Ministry’s monitoring and evaluation unit to secure a national pilot. 2. Partner with two established NGOs running women’s centers to run parallel data collection for 3 months. 3. Use success data from pilots to approach additional regional directorates with case studies showing improved decision making.
Widely used in African health systems
Generic health focus, steep learning curve for gender programs
Purpose-built emancipation metrics and restructuring recommendations
Robust offline data collection
No built-in gender-specific analytics or policy recommendations
End-to-end from data to actionable restructuring plans
Proprietary emancipation index trained on historical Burkinabe program data that improves with every center that joins. Government data sovereignty partnerships create high barriers.
Donors are shifting from output to outcome funding while 2023-2025 Burkina national gender strategy explicitly calls for data-driven institutional reform.
Ministry bureaucracy slows adoption
Start with individual centers and regional directorates before national contract
Poor data quality from SMS responses
Build validation rules and voice verification fallback
Cross-border data concerns if expanding regionally
Store all data in-country from day one
Success: Validated demand for automated scoring and recommendations
Success: 90% data completeness and 3 centers implement at least one recommendation
Success: Secure first Ministry contract or framework agreement
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