20 of the best prompts for requesting In-Depth analysis, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
20 of the best prompts for requesting In-Depth analysis, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
Published July 2, 2026
Getting Requesting In-Depth Analysis right takes more than a single prompt. This 4-stage guide covers Diagnose the Wall, Isolate and Fix, Verify the Resolution, and more, breaking the whole process into focused steps where each prompt builds on the last. DeepSeek often provides surface-level answers instead of the expert-depth analysis users require. This leads to frustration as users miss out on detailed insights necessary for professional or research tasks. By following this guide, users can ensure they receive comprehensive and nuanced responses from DeepSeek. Every prompt is optimized and runs in ChatGPT, Claude, and Gemini.
To effectively address the issue of surface-level responses, it's crucial to identify the specific failure in the last output. This will help in formulating a targeted fix.
Identify the Exact Failure
Quote your last response regarding [SPECIFIC TOPIC] and analyze it for depth. Identify the specific areas where the analysis was insufficient and explain how a more thorough examination could enhance understanding of the topic.
Paste and Analyze Output
Paste the specific part of your last response that seemed too simplistic. Analyze this section in detail, identifying the reasons it lacked the expert-level depth requested, and suggest how it could be improved to meet the expected standards.
Explain the Mechanism
Identify the specific factors in your processing that contributed to providing a surface-level answer instead of a detailed analysis. Explain the reasoning or inference process that led to this outcome, and suggest ways to improve the depth of your responses in the future.
Conduct a Gap Analysis
Compare your last response with the expected depth of analysis for the topic of [TOPIC]. Identify the specific claim you made and detail how it differs from the comprehensive answer required. Provide a revised response that addresses the gaps and meets the expected depth of analysis.
Identify Root Cause
Identify the specific limitation or behavior pattern in your training data or processing that caused you to generate a surface-level answer. Explain the underlying issue that led to this failure, and provide recommendations for how to improve the response quality in similar situations.
To correct the behavior of providing surface-level answers, specific adjustments must be made to ensure depth and detail in responses.
Re-attempt with Depth
Provide a detailed analysis of [SPECIFIC TOPIC], focusing on expert-level insights. Structure your response with clear reasoning, including key arguments, supporting evidence, and potential implications of the topic. Aim for a comprehensive exploration that covers multiple facets and offers in-depth understanding.
State Your Approach
Provide a comprehensive analysis of [SPECIFIC TOPIC]. In your response, include detailed reasoning and explain the key factors that influence your conclusions, ensuring clarity and depth in your analysis.
Break Down the Task
Break down the analysis of [SPECIFIC TOPIC] into clear steps. First, identify and list the key components that require attention. Next, provide a detailed analysis of each component, explaining its significance and any relevant insights.
Enforce Output Format
Enforce the following output format in your response: 1) Provide a brief introduction to the topic, 2) Conduct a detailed analysis covering key aspects, and 3) Conclude with a summary of your findings. Ensure that each section is clearly labeled and that the response is comprehensive and informative.
Role Framing for Depth
Assume the role of an expert in [SPECIFIC FIELD] and analyze [SPECIFIC TOPIC] in detail. Present your findings as if you were addressing a professional audience, ensuring to include key insights, relevant data, and potential implications of your analysis.
To confirm that the issue of surface-level responses has been resolved, specific tests must be conducted.
Replay the Original Request
Replay the original request regarding [SPECIFIC TOPIC]. After restating it, provide a comprehensive response that addresses all aspects of the request to ensure that the underlying issue has been fully resolved.
Test with Variation
Rephrase the question about [SPECIFIC TOPIC] to explore a different angle or aspect that may yield a more detailed response. Ensure that the new question is specific and encourages a comprehensive answer, addressing any previous shortcomings in the response.
Self-Check Before Submission
Evaluate your response for depth and detail before finalizing it. Ensure that your answer thoroughly addresses the question and provides comprehensive information. If any areas lack clarity or detail, revise them accordingly.
Compare Outputs
Generate two responses to the question: [INSERT QUESTION HERE]. The first response should be a surface-level answer, while the second should provide a detailed and comprehensive explanation. Highlight the key differences between the two responses, focusing on depth, clarity, and any additional insights provided in the detailed approach.
Flag Uncertainty Areas
Identify and highlight any sections of your previous response where you experienced uncertainty or where your answer lacked depth. For each flagged area, explain why you felt this way and provide a more thorough and detailed response to enhance clarity and understanding.
To prevent the recurrence of surface-level responses, specific artefacts can be established.
Depth Assurance Session Opener
Begin each response by stating, 'I am prepared to give a detailed answer.' Then, provide a thorough analysis of the topic at hand. If you are uncertain about the depth of your response, clarify your understanding before proceeding with your answer.
Output Format Constraint
Respond to the following query by organizing your answer into the specified format: '1) Key Points, 2) In-Depth Analysis, 3) Summary.' Ensure that each section is well-developed and provides comprehensive insights into the topic at hand. The query is: [INSERT QUERY HERE].
Self-Check Protocol
Review your response to ensure it meets the required depth and detail. If it lacks sufficient information, identify the areas that need expansion and provide a revised version that fully addresses the topic with more comprehensive insights.
Expert Role Reminder
Remind yourself at the start of each session that you are an expert in [SPECIFIC FIELD]. Provide in-depth analyses for all queries, ensuring that your responses are detailed and informative, addressing the specific needs of the user.
Confidence-Check Trigger Phrase
Before providing your response, please rate your confidence in the depth of your answer on a scale from 1 to 10. If your confidence rating is below 7, please follow up with additional details to enhance the clarity and completeness of your answer.
DeepSeek may provide surface-level answers due to its processing mechanisms that prioritize brevity over depth in certain contexts. This can occur when the model interprets the query as needing a quick response rather than a detailed analysis.
To encourage detailed responses, explicitly request an in-depth analysis and specify the level of detail required. This helps guide DeepSeek's processing to focus on comprehensive insights.
Common triggers for shallow responses include vague prompts or questions that lack specificity. DeepSeek's training may lead it to default to general answers when it perceives ambiguity.
Yes, you can prompt DeepSeek to self-correct by asking it to analyze its previous answers and identify areas lacking depth. This encourages a more reflective response process.
If DeepSeek avoids technical topics, it may be due to its processing limitations or context window constraints. Clearly framing your question with technical specifics can help mitigate this issue.
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