How to Use Stats IQ

About this course

Course Summary:

This introductory course teaches you how to use Stats iQ to turn survey data into actionable insights through a systematic three-step workflow. You'll learn to explore individual variables, identify statistically significant relationships, and build regression models that quantify driver impact. The course covers accessing Stats iQ from different project types, organizing your analyses with workspaces and filters, and interpreting results to make data-driven business decisions. By the end, you'll be able to confidently run analyses, evaluate model quality, and communicate findings to stakeholders.

Learning Objectives:

By the end of this course, you will be able to:

Understand what Stats iQ is and why it’s a valuable tool
Apply the Describe-Relate-Regression workflow to identify key drivers in survey data
Evaluate statistical significance in variable relationships to determine which drivers impact key outcomes
Navigate the Stats iQ interface to run analyses and interpret results for business decisions

Best for:

CX and EX program managers who need to identify improvement priorities
Survey administrators analyzing customer or employee feedback
Business analysts looking to understand what drives key metrics
Anyone responsible for reporting on satisfaction, engagement, or experience scores
Beginners with basic statistics knowledge who want to learn statistical analysis without coding

Curriculum

Getting Started with Stats iQ: Key Concepts and Access
Introduction to Stats IQ
Foundation: Understanding Drivers and Key Outcomes
Accessing Stats IQ
Knowledge Check
The Describe-Relate-Regression Path
Step 1 - Describing Your Data
Step 2 - Relating Variables
Step 3 - Building Regression Models
Knowledge Check
Organizing and Refining Your Analysis
Working with Workspaces and Variables
Filtering Your Data
Knowledge Check
Interpreting and Acting on Results
Evaluating Your Regression Model
Interpreting Regression Coefficients
From Analysis to Action
Common Pitfalls to Avoid
Knowledge Check
Summary, Next Steps and Key Resources
Summary, Next Steps and Resources

About this course

By the end of this course, you will be able to:

Understand what Stats iQ is and why it’s a valuable tool
Apply the Describe-Relate-Regression workflow to identify key drivers in survey data
Evaluate statistical significance in variable relationships to determine which drivers impact key outcomes
Navigate the Stats iQ interface to run analyses and interpret results for business decisions

Best for:

CX and EX program managers who need to identify improvement priorities
Survey administrators analyzing customer or employee feedback
Business analysts looking to understand what drives key metrics
Anyone responsible for reporting on satisfaction, engagement, or experience scores
Beginners with basic statistics knowledge who want to learn statistical analysis without coding

Curriculum

Getting Started with Stats iQ: Key Concepts and Access
Introduction to Stats IQ
Foundation: Understanding Drivers and Key Outcomes
Accessing Stats IQ
Knowledge Check
The Describe-Relate-Regression Path
Step 1 - Describing Your Data
Step 2 - Relating Variables
Step 3 - Building Regression Models
Knowledge Check
Organizing and Refining Your Analysis
Working with Workspaces and Variables
Filtering Your Data
Knowledge Check
Interpreting and Acting on Results
Evaluating Your Regression Model
Interpreting Regression Coefficients
From Analysis to Action
Common Pitfalls to Avoid
Knowledge Check
Summary, Next Steps and Key Resources
Summary, Next Steps and Resources