What additional instructions can I give to AI Assist - User Guide

AI Assist for Jira Service Management utilizes OpenAI's ChatGPT to help agents resolve customer requests efficiently. By providing additional context or instructions, agents can ensure that AI-generated responses are accurate and relevant. Here are 20 use cases illustrating how agents can make the most of ChatGPT:

1. Specify response format: Request the AI to provide a response in a specific format, like bullet points, a numbered list, or a step-by-step guide.

2. Request alternatives: Ask the AI to provide multiple solutions or approaches to the problem.

3. Limit response length: Instruct the AI to provide a concise response, such as within 100 words or a few sentences.

4. Focus on a specific aspect: Ask the AI to concentrate on a particular part of the request or issue, instead of addressing the entire problem.

5. Clarify terminology: Explain technical terms, abbreviations, or jargon used in the request to help the AI understand the context better.

6. Consider previous interactions: Mention any relevant past communication with the customer to help the AI generate a more personalized response.

7. Highlight customer preferences: Share customer preferences or constraints, such as budget or time limitations, to receive tailored suggestions.

8. Request a detailed response: Instruct the AI to provide an in-depth explanation or a step-by-step walkthrough.

9. Ask for a summary: Request a summary of a lengthy or complex customer issue.

10. Include specific software versions: Specify the software version or product model mentioned in the customer request to receive relevant solutions.

11. Consider company policies: Inform the AI about company policies or restrictions that may impact the proposed solution.

12. Clarify user role: Explain the customer's role or level of technical expertise to receive a response tailored to their knowledge.

13. Request a simplified explanation: Ask the AI to explain a complex concept or solution in layman's terms.

14. Prioritize urgency: Indicate the urgency of the request, guiding the AI to provide a quick fix or a long-term solution.

15. Address language barriers: Request the AI to translate the response into the customer's preferred language.

16. Incorporate visual aids: Ask the AI to suggest appropriate visual aids, such as diagrams or flowcharts, to help explain the solution.

17. Focus on a specific operating system: Specify the customer's operating system (e.g., Windows, macOS, Linux) to receive platform-specific solutions.

18. Ask for compatibility information: Instruct the AI to consider compatibility with other software or hardware when providing a solution.

19. Request risk assessment: Ask the AI to evaluate potential risks or downsides associated with the proposed solution.

20. Consider legal or regulatory compliance: Request the AI to provide solutions that adhere to relevant legal or regulatory guidelines.

21. Consider maintenance implications: Instruct the AI to take into account maintenance requirements or potential upkeep costs when suggesting a solution.

22. Address data security concerns: Ask the AI to provide recommendations that prioritize data security and adhere to best practices in the industry.

23. Request a comparison: Ask the AI to compare multiple solutions, highlighting the pros and cons of each.

24. Focus on scalability: Request the AI to consider the scalability of the proposed solution, especially if the customer's needs may evolve over time.

25. Ask for troubleshooting steps: Instruct the AI to provide a systematic troubleshooting guide to help the customer identify the root cause of the issue.

26. Consider accessibility: Request the AI to suggest solutions that prioritize accessibility for users with disabilities or special needs.

27. Incorporate customer feedback: Share relevant customer feedback or complaints to help the AI tailor its response and address specific pain points.

28. Emphasize user experience: Ask the AI to consider the user experience when proposing a solution, focusing on ease of use and intuitiveness.

29. Request a contingency plan: Instruct the AI to provide a backup plan in case the primary solution fails or is not feasible.

30. Consider environmental impact: Request the AI to suggest solutions that minimize the environmental footprint or align with the company's sustainability goals.

By leveraging these use cases, agents can provide clear instructions to ChatGPT, ensuring AI-generated responses are accurate, relevant, and tailored to each customer's needs. This enhances the overall customer support experience and helps agents resolve issues more efficiently.