Success Metrics

i. Number of Successful Logins per Week

• Measure the frequency of user logins to assess engagement and usability of the login system.

ii. Number of Successful Documents Uploaded per Week

• Track the volume of document uploads to evaluate the platform’s utility and user adoption.

iii. Average Number of Queries per Document

• Calculate the average number of queries made per uploaded document to understand user interaction and the effectiveness of the AI-powered chat interface.

iv. User Feedback Surveys on Prompt Engineering Guidance Usefulness

• Collect and analyse user feedback on the usefulness of prompt engineering guidance to improve the system and training materials.

v. Security Audit Results

• Conduct regular security audits to ensure the platform meets required security standards and to identify and address potential vulnerabilities.

vi. Performance Metrics

• Monitor the overall performance of the application, including response times, uptime, and load handling to ensure it meets acceptable standards.

vii. User Satisfaction Scores

• Gather user satisfaction scores through periodic surveys to gauge overall user satisfaction with the platform.

vii. Retention Rate

• Measure the percentage of users who continue to use the platform over a specified period to assess long-term engagement and satisfaction.

ix. Error Rate

• Track the frequency of errors or issues encountered by users to identify areas for improvement in the system’s stability and reliability.

x. Feature Usage Statistics

• Analyse the usage patterns of different features (e.g., document uploads, AI chat interface) to understand what functionalities are most valuable to users and prioritize future enhancements.

xi. Time to Resolution for Support Requests

• Measure the average time taken to resolve user support requests to ensure timely and effective customer service.