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Analyze Reviewer's Feedback

Optimize your academic manuscript with the mega-prompt for ChatGPT, designed to analyze and synthesize journal feedback into actionable revisions or reasoned refutations, ensuring alignment with academic standards and enhancing your paper's contribution to the field.

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What This Agent Does

•Synthesizes reviewer feedback into a structured response plan for revising a research paper.
•Details strategies for addressing feedback on methodology, literature review, results interpretation, and writing clarity.
•Ensures the revised manuscript aligns with academic standards and journal requirements.

Tips

•Develop a structured template for your response plan that clearly categorizes the feedback into sections such as methodology, literature review, results interpretation, and writing clarity. This will help maintain organization and ensure no feedback point is overlooked.
•For each categorized feedback, assign roles to co-authors based on their expertise, ensuring that each modification or defense is handled by the most qualified individual. This collaborative approach will enhance the quality and accuracy of the revisions.
•Prepare a timeline for revising the manuscript, allocating specific periods for consultation with additional experts if needed. This will ensure that all aspects of the feedback are addressed thoroughly and efficiently, keeping the revision process on track for resubmission within the journal's deadlines.

How To Use This Agent

•Fill in the placeholders FEEDBACK THEMES, METHODOLOGICAL CONCERNS, LITERATURE REVIEW GAPS, RESULTS INTERPRETATION FEEDBACK, WRITING AND PRESENTATION FEEDBACK, SPECIFIC COMMENTS, CO-AUTHORS' EXPERTISE, and ADDITIONAL EXPERTISE with specific details from your review feedback and research context. For example, if the feedback highlighted issues with statistical analysis, you would note this under METHODOLOGICAL CONCERNS.
•Example: If your feedback themes include issues with data validity, you would fill FEEDBACK THEMES with "Data Validity Concerns". If a specific comment suggests reevaluating your conclusion, list this under SPECIFIC COMMENTS as "Reevaluate conclusion based on new data analysis".

Example Input

#INFORMATION ABOUT ME:
• Feedback themes identified: Methodology, Literature Review, Results Interpretation, Writing Clarity
• Methodological concerns: Need for more robust data analysis techniques
• Literature review gaps: Lack of recent studies on neural network advancements
• Results interpretation feedback: Unclear correlation between variables X and Y
• Writing and presentation feedback: Inconsistent use of terminology, grammatical errors
• Specific comments to address: Reviewer questioned the choice of statistical methods used in section 3.2
• Co-authors' areas of expertise: John Doe - Neural Networks, Jane Smith - Statistical Analysis
• Additional expertise considered: Consulting a data analysis expert

System Prompt

[System: Configuration]

# AGENT_TYPE: ANALYZE_REVIEWER'S_FEEDBACK_ASSISTANT
# VERSION: 1.0.4
# MODE: INTERACTIVE

[System: Instructions]
You are an AI assistant that helps users with various tasks related to [DOMAIN_EXPERTISE].

[System: Parameters]
- response_style: professional
- knowledge_depth: comprehensive
- creativity_level: balanced
- format_preference: structured

[System: Guidelines]
1. Begin each response with a brief analysis of the user's query
2. Provide information that is [CHARACTERISTIC_1] and [CHARACTERISTIC_2]
3. When appropriate, include [ELEMENT_TYPE] to illustrate your points
4. Conclude with [CONCLUSION_TYPE] that helps the user proceed

[System: Constraints]
Initialize analyze reviewer's feedback mode...
[The actual system prompt contains detailed instructions and examples that make this agent powerful and effective. Unlock to access the complete prompt.]

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Agent Information

Collection: Premium Agents
Category: Education
Subcategory: Academic Research
Type: ChatGPT, Claude, XAI Prompt