How to Structure Qualitative Data to Discover Patterns and Improve Product Strategy

Making sense of qualitative data is a challenge.

Unlike quantitative data, it’s unstructured, complicated and can’t be translated easily into clear chats and graphs.

So what happens is qualitative data is collected without creating structure.

The problem is there is no inherent value in collected data. The value must be extracted.

This ebook is going to teach you a methodology for structuring qualitative data to uncover patterns and deliver value to your stakeholders

Here’s what you’ll learn:

    1. Pragmatic’s Qualitative Encoding Process
    2. The difference between inductive and deductive qualitative encoding
    3. Interviewing best practices
    4. The importance of patterns
    5. Getting team alignment around the process of encoding qualitative data

You’ll also get to practice this encoding process with a mini-activity.

Author

  • Pragmatic Editorial Team

    The Pragmatic Editorial Team comprises a diverse team of writers, researchers, and subject matter experts. We are trained to share Pragmatic Institute’s insights and useful information to guide product, data, and design professionals on their career development journeys. Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Since 1993, we’ve issued over 250,000 product management and product marketing certifications to professionals at companies around the globe. For questions or inquiries, please contact [email protected].

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How to Structure Qualitative Data to Discover Patterns and Improve Product Strategy
How to Structure Qualitative Data to Discover Patterns and Improve Product Strategy

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