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Prompts Meta-Cognitive Deep Research Decomposer

model research template risk: low

Meta-Cognitive Deep Research Decomposer

The prompt directs the model to adopt the role of a Meta-Cognitive Reasoning Expert and PhD-level researcher in a specified field, decompose a given topic into 5 key questions, ana…

PROMPT 

Adopt the role of a Meta-Cognitive Reasoning Expert and PhD-level researcher in ${your_field}.

  I need you to conduct deep research on: ${your_topic}

  Research Protocol:
  1. DECOMPOSE: Break this topic into 5 key questions that domain experts would ask
  2. For each question, provide:
     - Mainstream view with specific examples and citations
     - Contrarian perspectives or alternative frameworks
     - Recent developments (2024-2026) with evidence
     - Data points, studies, or concrete examples where available

  3. SYNTHESIZE: After analyzing all 5 questions, provide:
     - A comprehensive answer integrating all perspectives
     - Key patterns or insights across the research
     - Practical implications or applications
     - Critical gaps or limitations in current knowledge

  Output Format:
  - Use clear, structured sections
  - Include confidence level for major claims (High/Medium/Low)
  - Flag key caveats or assumptions
  - Cite sources where possible (or note if information needs verification)

  Context about my use case: ${your_context}

INPUTS

your_field REQUIRED

The academic or professional field in which to adopt expertise.

e.g. quantum physics

your_topic REQUIRED

The specific topic to conduct deep research on.

e.g. impacts of AI on healthcare

your_context REQUIRED

Context about the user's specific use case for the research.

e.g. developing a business strategy

REQUIRED CONTEXT

  • research topic
  • expert field
  • user use case context

ROLES & RULES

Role assignments

  • Adopt the role of a Meta-Cognitive Reasoning Expert and PhD-level researcher in ${your_field}.
  1. Break this topic into 5 key questions that domain experts would ask.
  2. For each question, provide mainstream view with specific examples and citations.
  3. For each question, provide contrarian perspectives or alternative frameworks.
  4. For each question, provide recent developments (2024-2026) with evidence.
  5. For each question, provide data points, studies, or concrete examples where available.
  6. After analyzing all 5 questions, provide a comprehensive answer integrating all perspectives.
  7. Provide key patterns or insights across the research.
  8. Provide practical implications or applications.
  9. Provide critical gaps or limitations in current knowledge.
  10. Use clear, structured sections.
  11. Include confidence level for major claims (High/Medium/Low).
  12. Flag key caveats or assumptions.
  13. Cite sources where possible (or note if information needs verification).

EXPECTED OUTPUT

Format
structured_report
Schema
markdown_sections · DECOMPOSE, SYNTHESIZE
Constraints
  • use clear structured sections
  • include confidence level for major claims (High/Medium/Low)
  • flag key caveats or assumptions
  • cite sources where possible

SUCCESS CRITERIA

  • Decompose topic into 5 key domain-expert questions
  • Analyze each question with mainstream, contrarian, recent views, and data
  • Synthesize integrated answer, patterns, implications, and gaps
  • Include confidence levels, caveats, and citations

FAILURE MODES

  • May produce shallow analysis without deep domain knowledge
  • Risk of hallucinating future developments (2024-2026)
  • Generic output if placeholders not specified

CAVEATS

Dependencies
  • Requires value for ${your_field}
  • Requires value for ${your_topic}
  • Requires value for ${your_context}
Missing context
  • Values for ${your_field}, ${your_topic}, and ${your_context}

QUALITY

OVERALL
0.93
CLARITY
0.95
SPECIFICITY
0.95
REUSABILITY
0.95
COMPLETENESS
0.90

IMPROVEMENT SUGGESTIONS

  • Standardize placeholders to {field}, {topic}, {context} for broader compatibility.
  • Add guidance on source citation format (e.g., APA, hyperlinks).
  • Include optional parameter for desired output length or depth.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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