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.