Custom GPT Prompts Checklist
1. Prompt Design
- Clarify the main goal of the prompt.
- Identify key outcomes expected from the interaction.
- Consider specific tasks or information needed.
- Align objectives with user needs.
- Define demographic characteristics of the audience.
- Consider knowledge level and expertise.
- Assess potential user motivations and preferences.
- Tailor language and content to audience specifics.
- Decide on the formality level based on audience.
- Choose language style (technical, casual, etc.).
- Ensure consistency in tone across prompts.
- Adapt style to match the brand voice.
- Establish a word or character count limit.
- Decide if brevity or detail is essential.
- Consider context and user expectations.
- Communicate length requirements clearly.
2. Input Specification
- Identify essential terms related to the topic.
- Include industry jargon or technical vocabulary.
- Highlight phrases that are crucial for the prompt's intent.
- Provide a brief overview of the subject matter.
- Mention relevant historical or situational context.
- Include any necessary definitions or explanations.
- Define the maximum length or word count.
- Indicate the tone or style required (formal/informal).
- List any specific topics or areas to avoid.
3. Testing and Iteration
- Identify various scenarios for testing.
- Include edge cases and common use cases.
- Ensure inputs vary in length and complexity.
- Gather inputs from user feedback or brainstorming.
- Compile inputs into a structured format for testing.
- Compare outputs against expected results.
- Assess if responses meet user needs.
- Check for clarity and coherence in responses.
- Look for any biased or inappropriate outputs.
- Make notes on any discrepancies found.
- Analyze feedback received from evaluations.
- Identify patterns in issues or suggestions.
- Adjust wording or structure of the prompt.
- Test modified prompts with sample inputs.
- Repeat evaluation until satisfactory results are achieved.
- Maintain a version history of prompts.
- Record specific changes made and why.
- Include insights gained from testing.
- Share documentation with the team for transparency.
- Use a clear format for easy reference.
4. Integration and Deployment
- Research target applications or platforms.
- Evaluate API capabilities and limitations.
- Determine user interaction methods.
- Document integration requirements.
- Review current system architecture.
- Identify potential integration challenges.
- Test prompts in a sandbox environment.
- Gather feedback from stakeholders.
- Select monitoring tools and metrics.
- Establish baseline performance indicators.
- Implement tracking for user interactions.
- Regularly analyze data for insights.
- Schedule periodic reviews of prompts.
- Gather user feedback for improvements.
- Document update procedures.
- Ensure version control is implemented.
5. Documentation and Training
- Outline key features and functionalities.
- Include step-by-step guides and tutorials.
- Use clear, concise language and visuals.
- Ensure documentation is easily accessible.
- Regularly update to reflect any changes.
- Curate a list of diverse prompt scenarios.
- Highlight best practices and common pitfalls.
- Include case studies or success stories.
- Illustrate with screenshots or code snippets.
- Encourage users to experiment with variations.
- Schedule regular workshops or webinars.
- Cover fundamental concepts and advanced techniques.
- Encourage hands-on practice with real prompts.
- Facilitate group discussions and Q&A.
- Provide follow-up materials for further learning.
- Create channels for user feedback collection.
- Regularly analyze feedback for patterns.
- Implement changes based on user suggestions.
- Communicate updates and improvements to users.
- Encourage ongoing dialogue to foster engagement.
6. Compliance and Ethics
- Identify applicable laws and regulations.
- Evaluate prompts against legal criteria.
- Consult with legal experts if needed.
- Document compliance checks for accountability.
- Analyze language for potential bias.
- Use diverse datasets during testing.
- Seek feedback from diverse user groups.
- Implement filtering mechanisms for harmful content.
- Clearly state the model's limitations.
- Highlight potential inaccuracies in outputs.
- Provide context for the intended use.
- Ensure disclaimers are visible to users.
7. Performance Evaluation
- Identify key performance indicators (KPIs).
- Consider user engagement, accuracy, and response time.
- Establish benchmarks for each metric.
- Document metrics for ongoing reference.
- Review metrics periodically to ensure relevance.
- Set a recurring calendar invite for reviews.
- Gather data on prompt usage and user feedback.
- Invite relevant team members to participate.
- Create an agenda focused on performance analysis.
- Document findings and action items from each review.
- Analyze collected performance data and feedback.
- Identify areas needing improvement or enhancement.
- Modify prompts accordingly, aiming for clarity and effectiveness.
- Test adjusted prompts before full implementation.
- Monitor revised prompts for further adjustments.
- Recognize individual and team contributions publicly.
- Document successful prompts and their impacts.
- Share insights during team meetings or newsletters.
- Encourage a culture of continuous improvement.
- Use success stories as training material for new team members.
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