How likely are you to recommend us to others? Product Survey Question
Measure customer loyalty and predict organic growth by tracking who will actively promote your brand to their network.
Question type
NPS scale 0-10
Primary metric
Answer scale variations
| Style | Options |
|---|---|
| Typical choice | Not at all likely Extremely likely |
| Recommendation strength | Would not recommend Would highly recommend |
| Enthusiasm-based | Definitely would not Definitely would |
| Advocacy-focused | Would never suggest Would enthusiastically recommend |
Follow-Up Questions
Starting with open dialogue helps you understand the human reasoning behind scores. When someone gives you an 8 or 9, you might assume they're satisfied, but their explanation could reveal hesitation or concerns you'd otherwise miss. These follow-ups turn numerical data into actionable insights.
This open-ended follow-up lets respondents explain their reasoning in their own words. You'll discover whether promoters love your customer service, your product features, or your pricing—context that helps you double down on what's working and understand what's holding back your passives and detractors.
This forward-looking question identifies specific improvements that would increase recommendation likelihood. Even promoters often share valuable suggestions, and you'll learn what changes would convert passives into promoters or prevent detractors from leaving.
Understanding which dimension drives recommendations helps you prioritize improvements and messaging. If support matters most but your product is strongest, you know where to focus. This structured data reveals patterns across customer segments that text responses might obscure.