As an AI language model, I don’t have personal preferences or opinions. However, here are some suggestions for system tracking that can be made when a new platform launches:
User activity: Keep track of user activity on the platform to understand how they are using it and identify areas that need improvement.
Performance metrics: Monitor the performance of the platform in terms of speed, uptime, and response time to ensure that it meets user expectations.
Security measures: Keep track of security measures in place to protect user data from unauthorized access.
Feedback mechanism: Implement a feedback mechanism so that users can share their feedback about the platform’s features, functionality, and usability.
Bug tracking: Implement a bug tracking system to monitor and resolve any issues reported by users.
Analytics tools: Use analytics tools to gather insights into user behavior, such as traffic sources, demographics, and usage patterns.
Social media monitoring: Monitor social media channels for mentions of the platform and use this feedback to improve the platform’s features and functionality.
Customer support metrics: Track customer support metrics such as response time and resolution rates to ensure timely resolution of user issues.
Competitor analysis: Conduct competitor analysis to stay up-to-date with industry trends and best practices.
Regular audits: Conduct regular audits of all systems related to the new platform launch to ensure compliance with regulations and best practices.
