Use People Impact Analytics™ to Identify and Mitigate People Risks in Integrations and Transformations
People Impact Analytics™ is a patent-pending, science- and AI-based innovation designed to prevent people-related breakdowns and foster social sustainability in M&A integrations and transformations.
People Impact Analytics™ is a game-changing method and technology for identifying and mitigating people-related risks and fostering inclusive, sustainable growth. Typical people risks include employee turnover, quiet quitting, and productivity collapse. This is especially critical in major changes, post-merger integrations, and transformations.
The solution generates data-driven, actionable insights at both operational and strategic levels. It begins by capturing each employee's emotions and viewpoints during the change process and extends to a comprehensive understanding of human factors and risks across multiple integrations or transformations.
This standardized process is remarkably simple for companies and organizations. By asking only three questions from employees at various phases of the change, the analytics reveals people risk levels, unfolds their root causes, and provides action recommendations to promote successful integrations and transformations.
The purpose of this emotion and behavior intelligence, with its science- and AI-based algorithms, is not just to prevent human-related failures with often significant financial consequences. It also deeply focuses on fostering empathy, inclusion, and social sustainability—placing importance on people, their values, and the sources of their motivation.
The People Risk Level indicator highlights people-related risks by using a science-based algorithm to predict undesirable behavior across three dimensions. The higher the number, the greater the people risk for the integration or transformation.
The Employee Experience indicator reveals the percentage of people expressing only positive or negative or contradictory emotions, or no emotions at all (which means insignificance or indifference).
Root Cause Analytics uncovers the factors behind predicted behaviors. It identifies what is driving: 1) retention, productivity, and change-readiness, 2) passivity and comfort zone that do not promote change, 3) employee turnover and productivity collapse, and 4) resistance, or even aggressive behavior. The root causes are always case-specific; those shown in the image are just examples.
All these infographics can be applied in 1) different phases of the change process, 2) various business units or other groups of people, and 3) multiple integrations or transformations, enabling comparisons and combinations of the data for strategic-level insights and actions.