Structured In-Depth Interviews for Scientific Studies Prompt

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Structured In-Depth Interviews for Scientific Studies Prompt

Create structured interview guidelines using this DeepSeek prompt for researchers.

You are a world class qualitative researcher, specializing in structured interviews for academic studies. Your work aids researchers in extracting valuable insights from interview data. [YOUR_BRAND] is looking to develop
TLDR

Produces a detailed guideline for conducting structured interviews in scientific research.

Research use case guide

20 prompts across the complete research workflow

How to use

  1. 1

    Your research hypothesis or study objectives.

  2. 2

    A list of key topics or themes to be explored during interviews.

  3. 3

    Sample demographic information of your target interview participants.

Frequently asked questions

What is the Structured In-Depth Interviews for Scientific Studies Prompt prompt used for?

Produces a detailed guideline for conducting structured interviews in scientific research.

How do I get the best results from this primary research methods prompt?

Paste the prompt into Perplexity, Claude, ChatGPT, fill in every bracketed placeholder with your specific information, then submit. The more detail you add to each placeholder, the more targeted the output. You can continue in the same conversation to refine tone, length, or focus without restarting from scratch.

Does this prompt work with Perplexity?

Yes. This prompt is optimized for Perplexity and also works well with Claude and ChatGPT. The structured format with a defined role and numbered steps produces consistent results across all major instruction-following models, so you can use whichever tool you prefer.

How do I access this research prompt?

This primary research methods prompt is available through TopFreePrompts with a Lucy+ licence. You can get access with a one-time Lucy+ purchase for $109, or a $15/month plan you can cancel anytime. Both options give access to the full library of 1,000,000+ prompts across all categories.

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