Key Responsibilities:
- Review User Chats with AI:
- Analyze user interactions with the AI system to identify instances of poor responses.
- Determine the root cause of incorrect or suboptimal AI answers.
- Document findings and suggest improvements to enhance AI performance.
- Create Test Cases:
- Develop comprehensive test cases to evaluate AI responses across various scenarios.
- Ensure test cases cover a wide range of user inputs and edge cases.
- Collaborate with the development team to implement and refine these test cases.
- Identify Missing Content:
- Analyze AI responses to identify gaps in the content and knowledge base.
- Recommend additional content and scenarios to improve AI comprehensiveness.
- Prioritize missing content based on user needs and frequency of issues.
- Rate Test Results:
- Evaluate AI responses against predefined criteria to assess quality and accuracy.
- Assign ratings to AI responses and document the rationale for each rating.
- Provide detailed feedback to the development team to guide improvements.
- Create Missing Content:
- Develop new content and knowledge base entries to address identified gaps.
- Ensure new content is accurate, relevant, and aligned with user needs.
- Collaborate with subject matter experts to validate and refine new content.
- Data Analysis and Trends:
- Perform data analysis to identify patterns and trends in AI interactions.
- Generate reports on AI performance metrics, including accuracy, response time, and user satisfaction.
- Use data insights to drive continuous improvement in AI capabilities.
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