How to Prompt Like a Pro: AI Strategies for Qualitative Research

Unlock the power of AI for qualitative research! In this episode, Dr. Philip Adu breaks down 8 prompting strategies—from zero-shot to meta-prompting—that help researchers extract deeper insights from AI tools like Gemini, ChatGPT, and others. Learn how to design prompts that produce accurate, relevant, and context-rich outputs, and watch real-time demos with research data. Whether you're a beginner or an advanced researcher, this tutorial is your ultimate guide to mastering prompt engineering in qualitative analysis.

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Books:
Dissertation Research Methods
Amazon: https://amzn.to/3ReJpts

The Theoretical Framework in Phenomenological Research
Amazon: https://bit.ly/TheoreticalFrameworkinPhenomenologicalResearch

A Step-by-Step Guide to Qualitative Data Coding
Routledge: https://bit.ly/qualitativedatacoding

STRESS Chatbot™: https://chatgpt.com/g/g-68e537cae5848191bd9bcb2d4776ac3c-stress-chatbottm (Free access)

STRESS Framework™ Assistant: https://chipper-trader-8601.kit.com/products/stressframeworkassistant (Paid version)

00:00 - Introduction to Prompting
01:30 - What Is Prompting in AI?
03:40 - The Importance of Clarity in Prompts
05:12 - Zero-Shot Prompting Explained
10:28 - Few-Shot Prompting with Examples
16:55 - Context Prompting: Giving Background
24:40 - Prompt Chaining: Step-by-Step Workflow
32:00 - Chain of Thought Prompting: Let AI Reason
39:22 - Instruction Prompting: Teach Before Asking
46:15 - Meta Prompting: Let AI Write Prompts for You
52:10 - Choosing the Right Strategy for Your Task
56:30 - Final Thoughts and Next Steps