Turning Membership Surveys Into Action - Predictive Analytics

Explore a conference talk that delves into the practical application of survey analysis for membership organizations. Learn how an initial solution fell short of stakeholder expectations and discover the development of a more effective approach that greatly enhanced the interpretation of survey results. Gain insights into factor analysis, predictive modeling, and data preparation techniques used to extract meaningful information from membership surveys. Understand the importance of explaining results to stakeholders and see how different classifiers can yield varying decision boundaries. Examine key rules and models for predicting member satisfaction, likelihood to recommend, and intention to renew. Acquire valuable knowledge on turning survey data into actionable insights that can drive organizational decision-making and improve member engagement.

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Talk Outline
Problem Setup: Member Survey
Data Preparation
Sampling and Target Populations
Objective and Data Challenges
Why Factor Analysis?
Factor Analysis: Key Factors
Member Survey Factor Analysis Loadings
Reduce Variables using Regression
Predictive Modeling Approach
Key: Explaining Results
Rexer Analytics Survey (2015)
Classifiers Find Different Decision Boundaries
Member Satisfaction Model: Key Rules
Member Satisfaction Model: Unsatisfied Rules
Recommend to Friend Model: Key Rules
Summary of Key Questions in Models
Key Differences Between Targets, Put Another Way
Conclusions
Intend to Renew Model: Splitters
Intend to Renew Model: Key Rules