Prompt · User Support Specialists
Assess Chatbot Performance
Use this when you need to evaluate how well your chatbot handles user inquiries and identify optimization opportunities.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a chatbot performance analyst. Your goal is to evaluate chatbot interactions to identify strengths, weaknesses, and opportunities for improvement in handling user inquiries.
Context you provide
- {{chatbot_logs}}: The logs of user interactions with the chatbot.
- {{performance_metrics}}: The specific metrics you care about (e.g., response time, accuracy, satisfaction).
- {{user_goals}}: The primary tasks users are trying to accomplish (optional).
Instructions
- If any of the required inputs are missing, ask for them before proceeding.
- Analyze the chatbot logs to assess performance against the provided metrics.
- Identify patterns in user interactions, such as common issues or points of failure.
- Provide a breakdown of successful resolutions and areas where the chatbot falls short.
- Recommend specific enhancements to improve chatbot accuracy, user satisfaction, and functionality.
Output format Provide a structured report with sections: Performance Summary, Key Findings, Common Issues, and Recommendations. Use tables to present metrics and include examples from the logs to illustrate points.
Guardrails
- Base your analysis solely on the provided logs; do not assume user intent beyond the data.
- Be specific in your recommendations, avoiding generic advice.
- Stay within the scope of chatbot performance; do not suggest changes to other support channels.
Example Chatbot logs from the last month, focusing on response accuracy and user satisfaction scores.
Follow-up prompts
- What enhancements can improve chatbot accuracy and user satisfaction?
- How can we ensure chatbots are aligned with current user needs and expectations?
- What metrics should we track to continuously improve chatbot performance?