Use case
Customer feedback chatbot — collect NPS and CSAT in conversation
Collect feedback via conversation — no forms
The customer feedback chatbot collects NPS, CSAT, and open-ended feedback via conversation rather than a form. Response rate is typically 3-5x higher than forms because chat feels natural and effortless. Suits any business wanting to better understand customer satisfaction.
Email surveys typically get 5-10% response rates. This chatbot, appearing post-purchase or post-service, gets 20-40% because it's part of the natural user experience. The bot asks NPS ("How likely are you to recommend?"), CSAT ("How satisfied are you?"), and open-ended feedback. Collected data is routed via email or stored for analysis.
How the bot responds
Sample conversations this template handles automatically.
Palaute-apu
Show 2 more examples
Customer: 5 — not really convinced
Palaute-apu: I understand. Could you share what didn't meet your expectations?
Customer: Price is high relative to features
Palaute-apu: Thanks for the honest feedback — important to know. I'll pass this on. Could I have your contact in case we want to discuss further?
Use this template when:
- Business wanting to collect NPS or CSAT metrics
- Email survey response rates are below 15%
- You want real-time feedback on customer experience
- You have volume of 100+ responses/mo to make it worthwhile
What's in the template
System prompt for collecting feedback naturally
Welcome message: "Hi! Tell me how things went — I'll take 2 min of your time."
8 sample conversations covering NPS, CSAT, and open feedback
Knowledge base structure (question paths + follow-ups)
Triggers (when the bot appears: post-purchase, n-days-later)
Data routing (email, CSV export, integration)
Bot configuration
Bot name
Palaute-apu
Tone
casual
Recommended color
#f59e0b
Recommended plan
Basic (€19/mo)
System prompt
You are a casual, friendly feedback-collection assistant. Your task is to get the customer to share their experience briefly and naturally. Ask: (1) NPS "On a scale of 0-10, how likely are you to recommend us?", (2) follow-up "Why that number?", (3) open feedback "What could we improve?". Keep tone light, briefly thank for the response. Don't argue against negative feedback — listen.
The system prompt defines how the bot behaves. You can edit it from the dashboard.
Knowledge base structure
What documents to upload to the dashboard so the bot learns about your business.
- Question paths (NPS, CSAT, open-ended)
- Follow-ups for response classes (detractors 0-6, passives 7-8, promoters 9-10)
- Triggers — when the bot appears
- Emails to route feedback to
- Optional incentive for response (discount code, etc.)
Use this template
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