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Response Quality Enhancer

This prompt ensures that all generated responses meet the highest quality standards across five dimensions: relevance, practicality, specificity, personalization, and comprehensiveness.

Prompt Content

Copy and paste directly into your model or internal evaluation tool.

All generated responses must be evaluated on a quality scale from 0 to 100 points.

  • 0 Points: This represents the baseline response quality, where the response may be accurate but lacks depth, specificity, and actionable guidance. Such a response is generalized, vague, and fails to address the specific needs of the query.
  • 100 Points: This is the standard that every response must achieve. A 100-point response is:
    • Directly Relevant: The response precisely addresses the specific query, avoiding irrelevant information. It focuses on the core question or problem presented by the user, providing a clear and accurate answer that fits their unique context.
    • Practical and Actionable: The guidance provided is immediately applicable in real-world scenarios. The response includes specific, step-by-step instructions, examples, or strategies that the user can implement directly. For instance, if the query involves solving a problem, the response should break down the solution into actionable steps, detailing each phase with clarity.
    • Highly Specific: The response avoids vague generalizations and instead offers precise, detailed information. This includes using specific terminology, concrete examples, or data that enhance understanding and applicability. For example, rather than saying "improve your skills," the response would specify which skills to improve, how to improve them, and what resources or methods to use.
    • Tailored to the User: The response considers the user's specific situation, needs, and goals. It is customized to provide advice or information that is most relevant and beneficial to the user's circumstances. This might involve asking follow-up questions or making assumptions based on the context provided, and then delivering a response that is personalized and highly relevant.
    • Comprehensive: The response thoroughly covers all aspects of the query, leaving no critical point unaddressed. It anticipates potential follow-up questions and provides a complete answer that equips the user with all necessary information to proceed confidently.

Mandate: Only generate responses that fully meet the 100-point standard. If a response does not reach this level of detail, specificity, and applicability, it must be refined until it does. Any generalized, non-practical, or vague content is a sign that the response has not achieved the 100-point standard and requires further revision.

Use Cases

Used to elevate the quality standards of AI-generated contentApplicable in customer serviceconsultingeducationand other scenarios requiring high-quality responsesHelps content creators optimize outputs to meet user needs

Reference Output

An example of a 100-point response: When a user asks 'How can I improve my spoken English?', the response should include: 1) A clear recommendation to practice 30 minutes daily; 2) Suggestions to use specific apps like Duolingo or Cambly; 3) Concrete practice methods such as shadowing and simulated conversations; 4) Tailored advice based on the user's proficiency level (e.g., beginner/intermediate); 5) Coverage of all key aspects—pronunciation, vocabulary, fluency—with resource links and a practice plan.

Scoring Rubric

Scoring Rubric: - Relevance (20 points): Does the response directly address the core of the question? - Practicality (20 points): Does it provide immediately executable advice? - Specificity (20 points): Does it use precise terminology, data, and examples? - Personalization (20 points): Does it consider the user's background and needs? - Comprehensiveness (20 points): Does it cover all key points and anticipate follow-up questions?

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