Design and Analyze Impactful Market Surveys
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Design and Analyze Impactful Market Surveys
This course is part of multiple programs.
Instructor: LearningMate
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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
- User Feedback
- Statistical Hypothesis Testing
- Statistical Analysis
- Business Research
- User Centered Design
- Survey Creation
- Analytics
- Data Storytelling
- Data Analysis
- Data Presentation
- Storytelling
- Research Reports
- Quantitative Research
- Surveys
- Correlation Analysis
- Statistical Reporting
- Data-Driven Decision-Making
- Statistical Methods
- Data Literacy
- Market Research
Details to know
February 2026
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There are 2 modules in this course
This course is designed for aspiring and current professionals who want to master the art and science of market research. You will learn to move beyond basic questionnaires and create sophisticated, user-centric surveys that deliver high-quality, actionable data. The curriculum focuses on two critical skill sets: Designing efficient survey instruments with branching logic to maximize respondent engagement and completion rates, and applying rigorous statistical analysis to uncover the stories hidden within your data.
Through a blend of real-world case studies, expert-led videos, and hands-on activities, you will learn how to architect survey flows, formulate unambiguous questions, and pilot your designs for success. You will then dive into data analysis, using in-browser tools to perform chi-square tests and interpret p-values to identify statistically significant relationships. By the end of this course, you will not only be able to build a professional-grade survey but also translate your quantitative findings into a clear, compelling narrative that drives strategic business decisions. This course equips you with the end-to-end skills to turn market feedback into a competitive advantage.
This module lays the foundation for creating effective surveys that respondents actually want to complete. You will explore the critical role of user-centered design and learn how to structure a survey with branching logic to create a smooth, personalized experience. Through real-world examples and hands-on practice, you will learn to architect the survey's flow, write clear questions, and pilot your instrument to ensure that it gathers high-quality data efficiently.
What's included
3 videos3 readings2 assignments
3 videosβ’Total 18 minutes
- The Amazon Model: Winning with Customer Feedbackβ’7 minutes
- Anatomy of a High-Completion Surveyβ’5 minutes
- How to Architect and Build with Branching Logicβ’6 minutes
3 readingsβ’Total 23 minutes
- Foundations of Effective Survey Design: Logic and Clear Questionsβ’8 minutes
- A Practical Guide to Piloting Your Surveyβ’8 minutes
- Career Spotlight: The Survey Design Specialistβ’7 minutes
2 assignmentsβ’Total 20 minutes
- Hands-On Learning: Design a Survey Instrument with Branching Logicβ’15 minutes
- Knowledge Check: Refining a Flawed Surveyβ’5 minutes
This module transitions from survey creation to data interpretation. You will learn how to extract meaningful, statistically-backed insights from your survey results. The focus is on applying the chi-square test to identify significant relationships between variables, moving beyond simple observations to data-driven conclusions. You will practice importing data, running tests, and, most importantly, translating complex statistical outputs into clear and actionable recommendations for stakeholders.
What's included
2 videos2 readings3 assignments
2 videosβ’Total 13 minutes
- When Polls Miss the Mark: The Stakes of Statistical Analysisβ’5 minutes
- How to Run and Interpret a Chi-Square Testβ’8 minutes
2 readingsβ’Total 15 minutes
- A Guide to the Chi-Square Test and p-Valuesβ’8 minutes
- From p-Value to Presentation: Telling a Data Storyβ’7 minutes
3 assignmentsβ’Total 50 minutes
- Survey Analysis and Recommendationβ’30 minutes
- Hands-On Learning: Analyze Survey Data Using a Chi-Square Testβ’15 minutes
- Knowledge Check: Statistical Interpretationβ’5 minutes
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