Overview
Manual question reviews waste time and miss critical gaps, causing miscommunication and inefficiency. Prompt Doctor automates question diagnosis by detecting incomplete info, ambiguities, and logic flaws, then generates targeted clarifications and optimized prompts to sharpen dialogues with AI or human Coaches.
The Impact
- Flag Ambiguities. Detects unclear or conflicting user intents for accurate follow-up.
- Trigger Clarification Mode. Automatically creates multi-version questions and key queries to resolve confusion.
- Improve Communication. Provides structured advice to boost AI-human interaction quality.
- Save Time. Eliminates manual question vetting, accelerating problem-solving workflows.
Who This Is For
- Product Managers refining vague requirements into clear, actionable questions for engineering and AI teams.
- Compliance & Legal Teams clarifying multi-goal consultations with mixed permission and data boundaries.
- AI Trainers & Developers uncovering question gaps to train and fine-tune internal Coach/Agent collaboration.
- Customer Support Leads ensuring precise user queries to streamline automated assistance workflows.
How It Works
- Input Question and Context
- Feed the user’s question along with recent dialogue history and any relevant background information.
- Structural Analysis
- Analyze the question for completeness, logic consistency, and presence of mixed or ambiguous intents.
- Clarification Mode Trigger
- Automatically switch to Clarification Mode when ambiguities or contradictions are detected, generating multiple intent hypotheses and key clarification questions.
- Output Diagnostic Report
- Organize diagnostic insights, clarification questions, and optimized example prompts into a clear, structured response.
- Advise on Follow-up
- Provide actionable advice to guide multi-turn communication, ensuring progressive refinement of question quality.
What You'll Need
Before using this template, make sure you have:
- Access to recent dialogue history or agent communication records including timestamps and role identifiers.
- The original question text requiring diagnosis or modification.
- Optional background information such as company context, product details, and role descriptions to enhance diagnostic accuracy.
- No special credentials or additional parameters are required for operation.
How to Use
- Step 1. Provide Question Text
- Step 2. Supply Dialogue History
- Step 3. Add Background Context (Optional)
- Step 4. Run the Workflow
- Step 5. Review Diagnostic Output
Submit the user’s question that needs diagnosis. If modifying a prior question, include the original version.
Include recent chat logs or Agent interactions related to the question, ordered chronologically with role labels.
Supplement with company, product, or role details to help identify missing or ambiguous information.
Trigger the automation to analyze, diagnose, and generate clarification prompts and advice.
Verify the clarity and completeness of the diagnostic response before proceeding with follow-up communication.