Relational survey

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A relational survey — also called a relationship survey — measures a customer’s overall opinion of a business at regular intervals, typically once or twice a year or quarterly, independent of any single interaction. It answers “how is the relationship trending?”, and relational NPS is its most common form.

What a relational survey measures

Customers form an overall view of a brand from many interactions, plus things no single interaction captures: price, reputation, product range, how problems were handled months ago. A relational survey asks about that overall view. It is sent on a schedule to a defined group of customers — all active customers, a key segment, a random sample — rather than being triggered by an event.

Its counterpart is the transactional survey, sent right after a specific interaction. The two answer different questions, and mature programs run both:

Relational surveyTransactional survey
QuestionHow do you feel about us overall?How did this interaction go?
TriggerCalendar (quarterly, twice a year)An event (visit, purchase, call)
Typical metricsNPS, overall satisfaction, attribute ratingsCSAT, CES, transactional NPS
LengthA few minutesUnder a minute
Best forStrategy, trend, loyalty driversOperations, service recovery

Relational NPS

Relational NPS asks the recommendation question about the company as a whole — “How likely are you to recommend [company] to a friend or colleague?” — at a fixed rhythm. NPS = % promoters (9–10) − % detractors (0–6). Because it is measured on the same population at regular intervals, it is the number most companies use to report loyalty to leadership.

Example: a bank runs relational NPS every six months by email to all retail customers. In wave one, 1,800 customers answer: 40% promoters and 25% detractors, NPS 15. In wave two, after a branch-hours change and a new complaint process, 1,900 answer: 44% promoters and 21% detractors, NPS 23. The attribute questions show the improvement came mainly from “problem handling” — consistent with what the transactional surveys had already shown.

Example relational survey questions

  • Loyalty: “How likely are you to recommend us to a friend or colleague?” (0–10)
  • Reason: “What is the main reason for your score?” (open text)
  • Overall satisfaction: “Overall, how satisfied are you with [company]?” (1–5)
  • Attributes: ratings for value for money, service quality, ease of doing business, problem handling, digital channels.
  • Intent: “How likely are you to still be a customer in 12 months?”
  • Improvement: “What one thing should we improve?”

Keep it to a few minutes. Attribute ratings are what make the survey useful: correlating them with the NPS answer (key driver analysis) shows which parts of the experience move loyalty most.

How often to run a relationship survey

Two to four times a year is typical. More often invites survey fatigue and gives changes too little time to show; less often means problems are found late. Whatever the rhythm, keep these constant between waves so the trend is real:

  • the same core questions and scales,
  • the same channel (email results and kiosk results are not directly comparable),
  • the same population definition, and
  • exclusion of customers surveyed very recently by a transactional survey.

In Qmeter, relational surveys are typically sent as email or SMS campaigns to a customer list or segment, with opens, clicks and responses tracked per campaign; results sit alongside transactional feedback in the same reports. See survey campaigns.

Reading relational and transactional results together

Relational scores are most useful when read next to transactional data from the same period. Four combinations are common, and each points to a different action:

Relational scoreTransactional scoresLikely meaning
RisingRisingService improvements are reaching customers and changing their overall view
Stable or risingFallingEarly warning: interactions are getting worse, the relationship has not caught up yet
FallingStableThe cause is probably outside individual interactions — price, product, reputation, competition
FallingFallingA service problem that has already reached overall loyalty — act on the transactional drivers first

This reading only works if both surveys tag responses with the same branch, segment and period, so they can be compared on one report.

Common mistakes

  • Using it as the only survey. A twice-yearly score cannot tell you which branch had a bad Tuesday.
  • Changing questions between waves, which breaks the trend.
  • Not closing the loop. Relational detractors deserve follow-up too, even though the issue may be months old.
  • Reading the score without the drivers. NPS moved — but because of price, service or product?

Frequently asked questions

What is a relational survey?

A relational survey measures a customer’s overall opinion of a business at regular intervals, independent of any specific interaction. Relational NPS, sent once or twice a year or quarterly, is the most common example.

Is a relationship survey the same as a relational survey?

Yes. Both terms describe a scheduled survey about the overall customer relationship, as opposed to a transactional survey about one interaction.

How often should you send a relational NPS survey?

Most organisations run it two to four times a year, keeping questions, channel and population the same between waves so the results form a reliable trend.

Should you run relational and transactional surveys together?

Yes. Relational surveys show the overall loyalty trend; transactional surveys show which interactions drive it. A healthy relational score with falling transactional scores is an early warning worth investigating.

Who should receive a relational survey?

Usually all active customers or a defined segment, such as customers with at least one interaction in the past year. Keep the definition the same between waves and exclude customers who have just answered a transactional survey.

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