Which field stores the likelihood to recommend data from survey participants?

The Q Field is specifically designed to capture the likelihood to recommend data from survey participants. This field is often utilized in customer experience surveys and Net Promoter Score (NPS) assessments, where respondents indicate how likely they are to recommend a product or service to others. The Q Field serves as a critical component in measuring customer sentiment and overall satisfaction, as it directly correlates with concepts of loyalty and advocacy.

In customer experience platforms like Medallia, being able to track and analyze this kind of feedback is essential for businesses looking to improve their products and services, as well as for understanding customer perceptions over time. The data stored in the Q Field can be analyzed to identify trends, assess performance, and make strategic decisions based on customer feedback.