Research that cannot be trusted cannot be acted on. Poorly designed surveys, biased samples, ungoverned data, and unverifiable insights cost organizations real money and real decisions. This program teaches you how to do research right — from the first question to the final recommendation.
Conjoint to Cluster is a beginner-level program designed for aspiring market researchers, business analysts, marketers, and UX professionals who want to build a complete, professional-grade research skill set. Across 14 focused courses, you will master the full survey research workflow: designing compliant primary research studies, writing unbiased survey questions with skip logic, calculating statistically valid sample sizes, conducting qualitative interviews and AI-enhanced focus groups, segmenting customers using RFM and buyer persona frameworks, applying conjoint analysis, automating research workflows, governing and organizing research data, and evaluating research ROI.
No prior research, statistics, or coding experience is required. Every course is built for beginners, combining expert instruction with hands-on exercises and real-world case studies drawn from organizations including Procter & Gamble, Spotify, Starbucks, and the Pew Research Center.
By the end of the program, you will be equipped to design, execute, analyze, and communicate professional research that organizations trust and act on.
Übungsprojekt
Throughout this program, you will complete hands-on projects that reflect real market research workflows. You will design a GDPR-compliant research outline with a consent flow, write a survey with skip logic optimized for completion rates, and calculate statistically valid sample sizes. You will conduct a structured qualitative interview using a professional discussion guide, facilitate an AI-enhanced focus group with real-time sentiment analysis, and apply thematic coding to synthesize findings. You will segment customers using the RFM model, build buyer personas from cross-tabulated data, and design a conjoint analysis study to quantify customer trade-offs. You will implement file naming conventions and metadata tagging for a research repository, calculate research ROI, and build automated no-code workflows that export survey data and trigger team notifications. Each project produces a portfolio-ready artifact grounded in real research scenarios.
