Development of a Task Management and Workflow Optimization Platform for Knowledge Sharing Communities

The platform faces difficulties in effectively distributing answer requests among experts, monitoring workflow progress, and tracking response times, leading to suboptimal response rates and increased workload management complexity.

A large-scale online knowledge-sharing platform connecting students and experts to facilitate homework assistance and educational content management.

• Implement a platform enabling efficient assignment and tracking of answer requests to optimize expert workload.
• Achieve a target of answering 50% of questions within 24 hours.
• Improve overall response time and quality of answers, leading to higher user satisfaction.
• Save approximately 3 hours of weekly work time per responder through streamlined workflow features.
• Increase answer throughput and reduce operational overhead for content moderators and answer providers.

• Question Intake Management: A system to receive and categorize incoming answer requests from users.
• Task Assignment Module: Automated and manual assignment of answer requests to selected experts based on criteria such as workload or expertise.
• Time Tracking and Monitoring: Features to monitor time spent on each answer request, with real-time workflow dashboards.
• Response Tracking: Recording and aggregating responses to monitor response times and answer quality.
• Workflow Analytics: Internal analytics dashboards to analyze user interaction, answer quality, and response rates to optimize performance.
• User Activity Log: Collect data on user navigation, form inputs, and activity for performance tuning and user behavior insights.
• Notification System: Alerts and reminders for pending or overdue answer requests to improve turnaround times.

• Communication APIs for notifications and alerts
• External analytics and reporting tools for workflow and performance metrics
• Third-party authentication services for user management

• System should support high concurrency with minimal latency, ensuring response times under 2 seconds.
• Data security measures must protect user information and prevent unauthorized access.
• Scalable architecture to support increasing user base and answer request volume over time.
• Reliable uptime with 99.9% availability and failover mechanisms.

The implementation aims to significantly improve answer response times, with at least 50% of questions answered within 24 hours, doubling the current benefit rate, and providing users with a more efficient knowledge-sharing experience. It will also save each responder approximately 3 hours weekly, optimizing resource utilization and increasing overall platform engagement.