Using AI to Create Testing Personas for Survey Design in Dynamic Populations

This session will demonstrate how AI can be used to create testing personas for survey design, particularly when working with dynamic or hard-to-reach populations. AI-generated personas help researchers anticipate diverse perspectives, identify potential biases, and refine surveys before they reach actual respondents. The session will include a live demonstration of persona generation, a case study on how AI-assisted testing improved survey design, and a discussion of what worked and what didn’t when the revised survey was deployed. Participants will leave with a structured approach for integrating AI-driven personas into their own survey workflows, practical lessons from real-world applications, and best practices for ensuring survey accessibility, relevance, and effectiveness. By improving the quality of data collection, AI-generated personas empower communities by ensuring that surveys accurately reflect diverse lived experiences, leading to better-informed policies and programs. This session is ideal for researchers, evaluators, and practitioners seeking innovative methods to enhance survey design.
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