

Net Promoter Score: chatbot template for NPS surveys
Description
Implement the Net Promoter Score (NPS) to measure customer satisfaction and loyalty to your brand.
Highlights
Highlights
- Measure customer satisfaction
- Enhance business performance
- Collect valuable insights
The template runs an NPS survey in chat: customers rate on a scale from 0 to 10, and depending on the category a matching free-text follow-up is asked for promoters, passives or detractors. Results are captured in structured form and passed to your feedback or CRM system. Question text, follow-up questions and thresholds are adjustable. Brands such as RTL, ZEB, SCHOTT CERAN and PUKY already use the template.
Highlights
- Classic NPS question in chat: Scale from 0 to 10, with no separate survey tool needed.
- Category-based follow-up questions: Depending on the rating, the agent asks a matching free-text follow-up for promoters, passives or detractors.
- Direct handover of results: Answers are captured in structured form and passed to your feedback or CRM system.
Use cases (examples)
- Measure customer satisfaction after a purchase or service interaction
- Track loyalty to your brand on a recurring basis
- Dig deeper into detractor feedback to understand root causes
- Collect NPS scores for individual products, locations or campaigns
- Feed results continuously into a CRM or analytics tool for trend analysis
What is included in the template?
- NPS question with a 0 to 10 scale
- Configurable promoter, passive and detractor categories with their own thresholds
- Optional free-text follow-up per category
- Adjustable question text and follow-up questions
- API connection to your feedback or CRM system
Get started in under 5 minutes
- Install the template
- Adjust the NPS question: Set the question text and thresholds for promoters, passives and detractors.
- Define follow-up questions: Set up a matching free-text follow-up per category.
- Connect your system and publish: Link your feedback or CRM system, test, then publish.
Customers
Frequently asked questions
Willingness to recommend on a scale from 0 to 10, split into promoters, passives and detractors.
Via configurable thresholds on the 0 to 10 scale.
Yes, a matching follow-up can be set per category, for example asking for the reason behind the rating.
To your feedback or CRM system, passed on via the API client.
Yes, among others by RTL, ZEB, SCHOTT CERAN and PUKY.
Yes, question text, follow-up questions and thresholds are fully configurable.

