Prompt Details
Model
Chat - (gpt-5.5)
Token size
408
Example input
[Describe your core app idea and primary function]: A secure social media app focused on international cooperation and humanitarian aid, where verified aid workers can share visual updates of aid projects in real-time.
[Who will use this on the ground, and who will view the data?]: Verified field workers on the ground capturing the media, and institutional donors or NGO administrators viewing the dashboard.
[What is the main friction or problem?]: The trust gap and donor skepticism caused by a lack of transparent, verifiable, and immutable visual evidence from remote field projects.
Example output
EXAMPLE 1 OUTPUT
EXECUTIVE PITCH & VALUE PROPOSITION
This platform bridges the trust gap in international development by providing a secure, real-time visual feed of humanitarian impact. By empowering verified aid workers to broadcast immutable visual evidence directly from the field, we transform donor skepticism into active engagement and continuous funding. It is not just a social network; it is a transparent ledger of human impact.
USER PERSONAS & CORE JOURNEYS
Persona A: Verified Field Worker | Journey: Authenticates identity via encrypted login -> Captures offline media at the project site -> Syncs automatically upon reaching a secure connection -> Tags project ID and geolocation.
Persona B: Institutional Donor | Journey: Logs into the donor dashboard -> Filters feed by specific grant or region -> Views verified, geolocated visual updates -> Exports data for compliance reporting.
FEATURE PRIORITIZATION MATRIX
MUST HAVE: End-to-end encrypted login, offline media caching, automatic EXIF/GPS data stripping for security, donor viewing dashboard.
SHOULD HAVE: In-app visual compression to save bandwidth, multi-language UI, comment/feedback loop for donors.
COULD HAVE: Blockchain-based immutability for uploaded photos, integration with major NGO CRM systems.
WON'T HAVE: Public sharing to unverified external networks (Twitter/Facebook), heavy video streaming.
TRUST, SAFETY & VERIFICATION PROTOCOL
To prevent fraud and protect worker safety, all media is locally encrypted on the device before upload. Geolocation data is artificially blurred by a 2-mile radius to protect exact field coordinates from hostile actors, while maintaining enough accuracy for donor verification. Accounts are strictly provisioned by NGO administrators; no open public registration is permitted.
TECHNICAL FIELD CONSIDERATIONS
The architecture must be "Offline-First." Field workers operate in low-bandwidth or zero-connectivity zones. The app will utilize local device storage to queue visual updates, employing background sync protocols that trigger only when a stable 3G/Wi-Fi connection is detected to preserve battery life.
NEXT 3 IMMEDIATE STEPS FOR MVP
Wireframe the offline-sync media capture flow.
Develop the backend authentication protocol for NGO administrators.
Deploy a closed-beta test with 10 field workers in a controlled, low-bandwidth environment.
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GPT-5.5
Transform raw social impact and humanitarian app ideas into a comprehensive Product Requirements Document (PRD). Built for NGO tech, it automatically generates pitch narratives, MoSCoW feature prioritization, and field-specific trust/verification protocols.
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