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Get the free Generative vs Evaluative Research Methods: A Breakdown

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Conduct generative, formative, and evaluative research, or get quick insights from real users. Drive alignment across teams with human insight, backed by a proven framework for continuous testing
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How to fill out generative vs evaluative research

01
Generative research: 1. Define your research goal and hypothesis. 2. Conduct open-ended interviews or observations to gather qualitative data. 3. Analyze the data to identify patterns and insights. 4. Use the insights to generate ideas and solutions.
02
Evaluative research: 1. Develop a clear evaluation criteria based on your research goal. 2. Conduct surveys, experiments, or usability tests to gather quantitative data. 3. Analyze the data to assess the effectiveness of your ideas or solutions. 4. Make informed decisions based on the evaluation results.

Who needs generative vs evaluative research?

01
Generative research is needed by product managers, designers, and researchers who want to generate new ideas and solutions based on user needs and behaviors.
02
Evaluative research is needed by product managers, designers, and researchers who want to evaluate the effectiveness of their ideas or solutions before implementation.
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Generative research focuses on exploring new ideas and understanding user needs to inspire design solutions, while evaluative research assesses existing products or concepts to measure their effectiveness and gather user feedback.
Typically, researchers, designers, and product teams involved in user experience design and product development are required to conduct and file generative and evaluative research.
To fill out generative versus evaluative research, one should clearly define the research goals, outline methodologies used, summarize participant demographics, present findings, and provide actionable insights based on the research.
The purpose of generative research is to uncover user needs and identify opportunities for design, while evaluative research aims to measure the usability and effectiveness of existing products or prototypes.
Required information typically includes research objectives, methods, participant demographics, key findings, analysis, and recommendations for future action.
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