Use Case 1: API Functionality
1. End-to-End Process
Identify gaps in recommendations when no relevant content is available.
Engage with stakeholders (clients, developers, UX designers).
Evaluate solutions: static fallback list, dynamic trending content, hybrid approaches.
Use MoSCoW or RICE framework for prioritization.
MVP: Static fallback list, future iterations for AI-driven recommendations.
Develop API contract, write user stories & JIRA tickets, test, and deploy incrementally.
Monitor fallback effectiveness and gather feedback.
2. Prioritization Criteria
Business Value: Ensures recommendations are always available.
Technical Feasibility: Can be implemented with existing architecture.
User Experience: Provides a smooth experience.
Scalability: Works with large catalogs.
Implementation Time: Quickest time-to-market.
3. JIRA Ticket (Static Editorial List)
User Story:
"As a content platform administrator, I want to configure a static fallback list so users always
receive recommendations."
Acceptance Criteria: Admins can manage fallback lists, API returns static recommendations when
no results exist.
API Endpoint:
GET /fallback-recommendations
{
"fallback": [{ "content_id": "123", "title": "Top 10 Movies", "type": "movie" }]
}
Use Case 2: Front-End/Dashboard Implementation
1. Key Steps
Implement API changes.
Define UI requirements.
Connect the front-end with API endpoints.
Build and test the dashboard interface.
Deploy and iterate based on feedback.
2. Prioritization Criteria
Business Impact: Helps admins configure fallback recommendations easily.
User Experience: Simple, intuitive interface.
Technical Feasibility: Works within the dashboard.
Scalability: Supports large catalogs.
3. JIRA Ticket (Dashboard Feature)
User Story:
"As a content platform administrator, I want an interface in the dashboard to manage fallback
recommendations."
Acceptance Criteria: Admins can add, edit, and delete fallback recommendations.
The UI syncs with the API in real-time and is accessible under "Recommendations."
Final Strategy
1. Implement API fallback.
2. Develop dashboard UI.
3. Ensure seamless API-to-UI integration.
4. Gather feedback and expand.