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⇱ Conjoint to Cluster: Survey Design and Segmentation | Coursera


Conjoint to Cluster: Survey Design and Segmentation Specialization

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Conjoint to Cluster: Survey Design and Segmentation Specialization

Master Survey Research From Design to Insight.

Build professional survey, segmentation, and research analytics skills from the ground up.

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Design GDPR-compliant primary research studies, write unbiased survey questions with skip logic, and calculate statistically valid sample sizes.

  • Conduct qualitative interviews and AI-enhanced focus groups, applying thematic coding to synthesize findings into actionable business insights.

  • Segment customers using RFM models and buyer persona frameworks to identify high-value groups and optimize targeted marketing investments.

  • Apply conjoint analysis and no-code workflow automation to design sophisticated research studies and eliminate manual data management bottlenecks.

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Taught in English
Recently updated!

April 2026

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Coursera

Specialization - 13 course series

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 β€” 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.

Applied Learning Project

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.

What you'll learn

  • Learners will outline the primary research process and apply GDPR-compliant consent procedures for ethical data collection.

Skills you'll gain

Category: Business Research
Category: General Data Protection Regulation (GDPR)
Category: Informed Consent
Category: Research Design
Category: Data Collection
Category: Compliance Management
Category: Data Capture
Category: Research Methodologies
Category: Ethical Standards And Conduct
Category: Data Analysis
Category: Project Design
Category: Business Ethics
Category: Case Studies
Category: Market Research
Category: Research
Category: Strategic Decision-Making
Category: Information Privacy
Category: Law, Regulation, and Compliance
Category: Data Ethics

What you'll learn

  • Learners will apply a systematic approach to organize data by identifying data processing stages and applying standardized naming conventions.

Skills you'll gain

Category: File Management
Category: File Systems
Category: Records Management
Category: Data Quality
Category: Data Management
Category: Data Cleansing
Category: Record Keeping
Category: Document Management
Category: Version Control
Category: Data Analysis
Category: Data Literacy
Category: Data Governance
Category: Data Maintenance
Category: Data Processing

What you'll learn

  • Master market forecasting and trend analysis. Learn to use historical data to predict demand and evaluate the strategic impact of emerging trends.

Skills you'll gain

Category: Business Development
Category: Market Opportunities
Category: Performance Analysis
Category: Gap Analysis
Category: Business Strategy
Category: Variance Analysis
Category: Key Performance Indicators (KPIs)
Category: Performance Measurement
Category: Business Planning

What you'll learn

  • Learners will be able to design effective surveys with proper question types and skip logic to improve data quality and the respondent experience.

Skills you'll gain

Category: Survey Creation
Category: Data Quality
Category: Research Design
Category: User Research
Category: Qualitative Research
Category: Case Studies
Category: Surveys
Category: User Feedback
Category: Data Collection

What you'll learn

  • Select appropriate sampling methods and calculate the statistically valid sample size to design reliable survey research.

Skills you'll gain

Category: Sample Size Determination
Category: Statistical Methods
Category: Sampling (Statistics)
Category: Business Research
Category: Estimation
Category: Decision Making
Category: Probability & Statistics
Category: Research Design
Category: Quantitative Research
Category: Research Methodologies
Category: Statistics
Category: Survey Creation
Category: Probability
Category: Data Collection
Category: Statistical Inference

What you'll learn

  • Learners will design user-centered surveys with branching logic and analyze data using chi-square tests to uncover significant, actionable insights.

Skills you'll gain

Category: Data Presentation
Category: Survey Creation
Category: Correlation Analysis
Category: Statistical Analysis
Category: Market Research
Category: Business Research
Category: Data-Driven Decision-Making
Category: Data Literacy
Category: Statistical Hypothesis Testing
Category: User Feedback
Category: Data Analysis
Category: Analytics
Category: Statistical Methods
Category: Data Storytelling
Category: Storytelling
Category: Research Reports
Category: User Centered Design
Category: Quantitative Research
Category: Surveys
Category: Statistical Reporting

What you'll learn

  • Select appropriate qualitative methods and design a structured interview guide to uncover deep customer insights.

Skills you'll gain

Category: Qualitative Research
Category: Interviewing Skills
Category: Business Research
Category: Market Analysis
Category: Customer Analysis
Category: Data Collection
Category: Focus Group

What you'll learn

  • Learners will design AI-enhanced focus group guides and analyze qualitative data to structure thematic insights for deeper user understanding.

Skills you'll gain

Category: Customer Insights
Category: Analysis
Category: Business Research
Category: Data Synthesis
Category: User Feedback
Category: Design Research
Category: Qualitative Research
Category: Discussion Facilitation
Category: Artificial Intelligence
Category: Data Analysis
Category: AI Integrations
Category: Generative AI
Category: Focus Group
Category: Real Time Data
Category: Prompt Engineering
Category: Market Research

What you'll learn

  • Master AI-driven qualitative analysis and ethical data practices. Learn to summarize data with LLMs and critically evaluate synthetic data use.

Skills you'll gain

Category: Data Ethics
Category: Gap Analysis
Category: Responsible AI
Category: Business Planning
Category: Data Synthesis
Category: Information Privacy
Category: Performance Measurement
Category: Market Opportunities
Category: Business Development
Category: Large Language Modeling
Category: Performance Analysis
Category: Data Integrity
Category: Personally Identifiable Information
Category: Key Performance Indicators (KPIs)
Category: AI literacy
Category: Qualitative Research
Category: LLM Application
Category: Prompt Engineering
Category: Variance Analysis
Category: Business Strategy

What you'll learn

  • Define buyer personas and analyze cross-tabulated data to identify and summarize key customer segments for targeted business strategies.

Skills you'll gain

Category: Data Analysis
Category: Persona Development
Category: Marketing Analytics
Category: Target Market
Category: Data-Driven Decision-Making
Category: Persona (User Experience)
Category: Statistical Reporting
Category: Pivot Tables And Charts
Category: Consumer Behaviour
Category: Market Research
Category: Descriptive Analytics
Category: Customer Analysis
Category: Data-Driven Marketing
Category: Target Audience
Category: Customer Insights

What you'll learn

  • Segment customers with RFM to find high-value groups and measure campaign profitability lift to optimize marketing investments.

Skills you'll gain

Category: Customer Analysis
Category: Return On Investment
Category: Marketing Effectiveness
Category: Spreadsheet Software
Category: Data-Driven Marketing
Category: Customer Relationship Management
Category: Data Transformation
Category: Data-Driven Decision-Making
Category: Customer Insights
Category: Marketing Strategies
Category: Marketing Budgets
Category: Target Market
Category: Target Audience
Category: Marketing Analytics
Category: Customer Retention

What you'll learn

  • Design efficient conjoint analysis studies and build automated data workflows to gain faster, sophisticated market insights.

Skills you'll gain

Category: Workflow Management
Category: No-Code Development
Category: Automation
Category: Survey Creation
Category: Product Planning
Category: Cloud-Based Integration
Category: Customer Analysis
Category: Data Collection
Category: Quantitative Research
Category: Customer Insights
Category: Process Design
Category: Strategic Marketing
Category: Data Integration
Category: Product Strategy
Category: Consumer Behaviour
Category: Market Research
Category: Sample Size Determination
Category: Market Analysis
Category: Real Time Data
Category: Business Process Automation

What you'll learn

  • Apply eye-tracking to generate heat-maps and calculate research ROI, demonstrating the business value of primary research insights.

Skills you'll gain

Category: Return On Investment
Category: Cost Benefit Analysis
Category: Statistical Visualization
Category: Research
Category: Data-Driven Decision-Making
Category: Data Storytelling
Category: Business Metrics
Category: Data Presentation
Category: Heat Maps
Category: User Research
Category: Cost Management
Category: Financial Analysis
Category: Performance Analysis
Category: Consumer Behaviour
Category: Market Research
Category: Business Research
Category: Data Analysis

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Frequently asked questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Financial aid available,