Prompt Details
Model
Chat - (gpt-5.5)
Token size
528
Example input
[Describe your project, the problem, and your proposed solution in your own words]: We want to build a secure social media app where verified aid workers can share real-time visual updates of their field projects. Donors are losing trust because they can't see the impact. If we show them photos and videos safely, they will keep funding our humanitarian logistics.
[Who are the beneficiaries and where will this be implemented?]: 50 local NGOs and international aid workers deployed in Sub-Saharan Africa.
[How many months/years will this project last?]: 18 months.
Example output
### 1. Executive Summary & Strategic Alignment
This 18-month intervention aims to bridge the critical trust deficit between institutional donors and field-level execution by deploying a secure, decentralized visual verification platform. By equipping 50 local NGOs in Sub-Saharan Africa with encrypted, offline-first mobile architecture, the project will generate objectively verifiable, real-time proof of impact. This initiative directly aligns with UN Sustainable Development Goal (SDG) 16 (Peace, Justice, and Strong Institutions) by significantly enhancing operational transparency, accountability, and anti-fraud monitoring in cross-border humanitarian logistics.
### 2. The Logical Framework Matrix
| Intervention Logic | Objectively Verifiable Indicators (OVI) | Means of Verification (MoV) | Assumptions & Risks |
| :--- | :--- | :--- | :--- |
| Overall Objective (Impact) | Increase institutional donor retention and accountability in humanitarian funding across the target region by Year 3. | Annual donor retention reports; Regional funding transparency indices. | Global humanitarian funding levels remain stable. |
| Specific Objective (Outcome) | Restore and maintain donor trust through real-time, verified visual data sharing for 50 NGOs within 18 months. | 40% increase in unrestricted funding renewals among participating NGOs by Month 18. | NGO financial audit reports; Donor feedback surveys. |
| Expected Result 1 (Output) | Secure, offline-first visual reporting mobile application developed and deployed. | 100% of participating NGOs (50) successfully install and utilize the platform by Month 6. | App backend analytics; Centralized server logs. |
| Expected Result 2 (Output) | Field personnel trained in encrypted data capture and verification protocols. | Minimum of 250 aid workers achieve platform certification with a >90% compliance rate by Month 9. | Digital certification registry; Quality assurance sampling reports. |
### 3. SMART Indicator Breakdown
* Indicator 1 (Outcome): 40% increase in unrestricted funding renewals.
- Baseline: Current renewal rate is 45%.
- Target: Reach an 85% renewal rate among the 50 pilot NGOs by Month 18.
* Indicator 2 (Output 1): App deployment and adoption.
- Baseline: 0 NGOs currently using standardized visual verification.
- Target: 50 NGOs actively uploading a minimum of 10 verified visual reports per month by Month 6.
* Indicator 3 (Output 2): Field personnel certification.
- Baseline: 0 aid workers trained in cryptographic visual reporting.
- Target: 250 aid workers fully trained and actively logging data by Month 9.
### 4. Risk Mitigation Strategy
* Risk 1: Telecommunication blackouts or sub-3G connectivity in deployment zones prevent data upload.
- Mitigation: The platform architecture is strictly offline-first, utilizing local caching protocols to queue encrypted data packages for automatic background upload once stable Wi-Fi/3G connectivity is restored.
* Risk 2: Geolocation data compromises the physical security of aid workers in conflict zones.
- Mitigation: Implementation of automated GPS blurring and delayed-release publishing protocols to prevent real-time tracking of vulnerable personnel by malicious actors.
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GPT-5.5
Stop losing NGO funding due to poor bureaucratic formatting. This prompt translates your raw, passionate project ideas into a rigorous, donor-compliant Logical Framework (Logframe) with SMART indicators and risk analysis. Perfect for USAID, ECHO, and UN grant applications.
Prompt Instructions: (Aquí pegas el bloque de código de arriba).
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Added 2 weeks ago
