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

Turning Membership Surveys Into Action - Predictive Analytics

PASS Data Community Summit
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