Traditional employee engagement surveys are incapable of uncovering what employees truly think. While organizational culture is universally recognized as the bedrock of performance and loyalty (MIT research shows it has ten times the impact on retention compared to compensation, let the implications of that sink in) the mechanisms used to measure have not advanced along with technology. Generic questions force employees into autopilot where the average respondent answers 89% of questions using the same two answers if they can even figure out how to apply the questions to their own lives. These traditional practices only capture surface-level symptoms and statistical averages. These practices capture "average" behaviors and fail to explain the critical "why" behind workforce performance and attrition.
Survey design is a science and HR professionals need not go it alone. While no people leader would be surprised to find that belonging, security, respect, significance of work, and institutional meaning are the largest drivers of retention at their organizations, they would be deeply surprised to learn how differently these drivers are defined across the org chart. What "recognition" or "meaningful impact" looks like to a team will be different than how it is interpreted elsewhere in the organization. If a meaningful impact to organizational performance and culture is going to happen, each leader must understand how these core values are defined in their neck of the woods.
A more sophisticated approach is urgently needed to move beyond data collection and shift toward genuine organizational insight and action. Retention Insights replaces static questionnaires with dynamic interviews performed at scale. We touch every corner of the organization. By leveraging generative AI to conduct short, natural language interviews, the system encourages employees to dig deeper so they cannot go on autopilot. Our process results in a unique machine learning model customized entirely to the organization, uncovering the hidden blind spots and telling you what you don't know that you don't know.
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