UNKNOWN

YOU'RE DROWNING IN TRANSCRIPTS—AND YOUR DEADLINE ISN'T MOVING

40 interviews. 300 pages of text. Manual coding = 6 weeks of misery.

What if AI could do the first pass in 6 hours?

This book shows you how to use ChatGPT + QualCoder (free, open-source) to:
• Generate initial codes in minutes, not days
• Identify themes you'd miss manually
• Stay in control—AI suggests, you decide
• Document everything for ethical transparency

In This Book, You'll Discover How To:

• Seamlessly Integrate AI with Qualitative Analysis:
  Learn how to set up and integrate ChatGPT with QualCoder—an open-source software—to streamline your coding process.

• Craft Powerful AI Prompts:
  Develop effective prompts that guide ChatGPT to generate meaningful codes and thematic analysis, accelerating your workflow.

• Leverage AI-Generated Insights:
  Incorporate dynamic, data-driven insights into your analysis while ensuring the rigor and reliability of your research.

• Efficiently Manage Data:
  From initial data preparation to final reporting, learn how to use AI tools to keep your analysis organized and insightful.

WHO THIS IS FOR

• Dissertation students with 50+ transcripts and 8 weeks to code
• Junior faculty needing to publish faster (without hiring RAs)
• Qual researchers curious about AI but worried about rigor
• Students priced out of NVivo ($600/year → $0 with QualCoder)

By the end of this guide, you'll be equipped with practical, step-by-step strategies to transform your qualitative data analysis—so you can focus on what matters most: making groundbreaking discoveries.

Take control of your research process. Transform your analysis with AI today!

Buy now. Code faster. Defend better. Publish sooner.

Rafiq Muhammad has background in healthcare with MBA from SDA Bocconi School of Management, Italy, and holds a Ph.D. in Artificial Intelligence and Machine Learning from Karolinska Institute, Sweden. He has spent the past several years engaging deeply in data analytics and machine learning applications.

Rafiq Muhammad is passionate about data science and artificial intelligence and is dedicated to bridging the gap between cutting-edge generative language models and their practical implementations in real life.
Rafiq Muhammad has extensive experience in publishing systematic literature reviews in peer-reviewed journals, and teaching and supervising graduate students on how to conduct literature reviews. He also has experience teaching Master Level courses at Karolinska Institute.

Rafiq has developed advanced skills in conducting high-quality systematic literature reviews independently (four systematic literature reviews already published and supervised several). During the last 6 years, He has published 10 scientific articles in peer-reviewed academic journals. He has spent the past several years immersing himself in data analytics using artificial intelligence and machine learning, conducting literature reviews, and teaching master-level courses in healthcare. As a medical doctor with expertise in data science, he has the right competence to conceptualize, design, and develop AI applications in healthcare.