Relational Survey

Relational surveys measure a customer’s overall relationship with your company rather than their reaction to a specific interaction. They are sent on a regular cadence—quarterly, semi-annually, or annually—and use metrics like NPS to gauge overall loyalty and sentiment.

The purpose of relational surveys is to track the health of the customer relationship over time. By comparing scores across periods, you can identify macro trends: is overall satisfaction improving or declining? Are there seasonal patterns?

Relational surveys complement transactional surveys. While transactional surveys reveal how individual interactions are performing, relational surveys capture the cumulative impact of all interactions on the customer’s overall perception. A customer might rate individual support interactions highly but still have declining overall sentiment due to a product that is not keeping up with their needs.

Best practices include maintaining a consistent cadence, using the same core questions to enable trend analysis, and sampling strategically to avoid survey fatigue. Not every customer needs to receive every relational survey—rotating samples can maintain data quality while reducing the burden on any individual customer.