Which of the following can be described as a task belonging to Predict iQ?

Predict iQ is a predictive analytics tool that utilizes machine learning and advanced data analysis to make future predictions based on historical data. One of its key functions is to help organizations understand potential risks and opportunities based on existing data trends.

Defining customer risk thresholds is a task that aligns perfectly with the capabilities of Predict iQ. It allows users to set specific parameters or thresholds that indicate when a customer may be in danger of churning or not engaging, which is essential for proactive management and strategies. By establishing these thresholds, organizations can focus their efforts on at-risk customers, driving targeted intervention strategies.

Evaluating customer satisfaction levels typically involves analyzing past feedback but does not inherently involve making predictive assessments about future behaviors. Importing survey responses is a procedural task related to data collection rather than predictive analysis. Designing new widgets also does not fit within the realm of predictive analytics, as it pertains more to product development and design rather than forecasting and risk assessment. Therefore, identifying and defining customer risk thresholds directly aligns with the predictive modeling aspect of Predict iQ.