AI-Powered Market Research and Survey Design

This course combines qualitative and quantitative primary research methods used in modern market research studies. You will develop end-to-end primary research capabilities—designing qualitative and quantitative instruments, and running moderated interviews and surveys to produce defensible insights that inform product and marketing decisions. This course teaches you how to draft professional discussion guides, moderator scripts, and complex branching surveys. You will master advanced methodologies like conjoint experiments and learn to select sampling strategies—both probability and non-probability—with appropriate statistical power to ensure data validity. Operational labs cover survey platform workflows, including automations, data exports, skip-logic, and response validation. Responsible AI use-cases are deeply embedded: you will practice using LLM-assisted moderator prompts and transcript synthesis while applying hallucination checks and ethical guardrails. Furthermore, you will apply GDPR-compliant consent templates and data-handling procedures to ensure your studies respect privacy and meet international legal requirements. By building comprehensive study plans and conducting pilot fieldwork, you will learn to move seamlessly from instrument design to robust statistical analysis and stakeholder-ready interpretation. You will conclude the course by completing a Survey Design and Execution Lab, delivering a portfolio-ready project that showcases your ability to manage the entire primary research lifecycle. Who this is for: Aspiring market researchers, business analysts, product managers, and professionals looking to develop advanced research skills with no prior experience required.