Net Promoter Score (NPS) Survey Template
NPS scores tell you nothing while detractors churn. This NPS survey template goes beyond a 0–10 score and an optional text box. An AI-powered conversation follows up with every respondent — uncovering why promoters love you, what would change a detractor’s mind, and what passives need to become fans.
Used 1,800+ times
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
No context. No follow-up. No next step.
- A single text box after the NPS score captures vague complaints like 'expensive' or 'slow' but never uncovers the specific feature, interaction, or competitor comparison that actually drove the detractor score.
- Static NPS forms treat all promoters the same with generic 'any other feedback' questions instead of capitalizing on their loyalty by asking for referrals, testimonials, or case study participation while they're excited.
- Rigid follow-up forms can't probe deeper when a customer mentions they're 'evaluating alternatives' — missing the chance to understand competitive threats and retention triggers before they churn.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Right team. Full context. Instant action.
- AI follow-up conversations immediately probe detractor responses, asking what specific experience frustrated them, which competitor they're considering, and what resolution would change their mind — producing actionable context instead of complaint scores.
- Dynamic conversations recognize promoter enthusiasm and ask for specific referral introductions, LinkedIn recommendations, and G2 reviews while their satisfaction is peak, converting loyalty into measurable growth actions.
- Adaptive conversations catch passive customers who mention competitive evaluation, probing deeper about what the alternative offers and what one improvement would make them a promoter instead of a switcher.
How this AI template works
This NPS survey template replaces the standard 0–10 rating and optional text box with an AI-powered conversation that adapts to each respondent’s score. Promoters (9–10) are asked what they love most and invited to share testimonials. Detractors (0–6) explain what specific experience drove their score and what would change their mind. Passives (7–8) reveal what one improvement would make them a promoter. Every response is automatically categorized, summarized, and routed to your CS team with full context — so you can act on NPS insights instead of just reporting them.
Getting started
- 1
Choose your NPS survey format — relational, transactional, or both
- 2
Customize the AI conversation for each score range: promoters, passives, and detractors
- 3
Connect integrations — route NPS insights to Slack, Gainsight, HubSpot, or your CRM
- 4
Deploy via email, in-app embed, or link — your NPS survey is live in minutes
Template Details
- Agent Type
- Evaluator
- Industries
- SaaS / Tech
- Roles
- Customer SuccessSupport
- Integrations
- Slack, Gainsight, Hubspot
- Times Used
- 1,800+
What should you ask after the NPS score?
The standard NPS follow-up is 'What's the primary reason for your score?' But this generic question treats all responses the same. Effective NPS follow-up adapts based on the score range. Ask detractors what specific experience drove their score and what would change their mind. Ask promoters what they love most and if they'd refer a colleague. Ask passives what one improvement would make them a promoter. This adaptive approach turns NPS from a reporting metric into actionable customer intelligence.
How do you close the loop on NPS feedback?
Closing the loop means following up with respondents based on their answers, not just their scores. Thank promoters and ask for referrals or testimonials. Acknowledge passives and probe what would improve their experience. Reach out to detractors to address specific concerns before they churn. The challenge is doing this at scale. AI conversations handle the initial follow-up automatically, then route insights to your CS team with full context so they can take targeted action on the responses that matter most.
Why do traditional NPS programs fail?
Most NPS programs fail because they focus on the score instead of the story behind it. Companies send quarterly NPS emails, calculate their score, put it in a dashboard, and call it customer feedback. But a score of 6 from a frustrated power user who wants better integrations is completely different from a 6 from a poor-fit customer who should never have been sold. Without understanding the 'why' behind each score, NPS becomes vanity metrics instead of actionable customer intelligence.
How often should you send NPS follow-up conversations?
For relationship NPS, quarterly is optimal — frequent enough to track trends without survey fatigue. For transactional NPS, trigger immediately after key interactions like onboarding completion or support resolution. Never send more than one NPS conversation per customer per quarter. The key is making each conversation count by adapting the follow-up questions to their score and previous responses. This approach gets 3x higher completion rates than static NPS forms because customers feel heard, not surveyed.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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