Unlocking in-depth analysis with simulated customers and market research using generative AI & large language models. A step by step implementation.

Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

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This post discusses the use of synthetic user research, facilitated by autonomous agents and generative AI, to gain insights into consumer behaviors and preferences. It explores the concept of persona prompting and the fusion of autonomous agents with digital personas. The post also highlights the critical role of agent frameworks in the research process. Overall, synthetic user research offers scalable and efficient methods for gathering valuable market research.

Creating Synthetic User Research: Using Persona Prompting and Autonomous Agents

The How — Implementing Synthetic User Research

Creating Actionable Outcomes — Summary Agent