You gave us a 7 — what would it take to make that a 10?
M
Uncover NPS Insights
Evaluator agent · 1.8K uses
Evaluator Agent
Voice of the Customer Survey Template
Nobody reads your exit survey. Perfect for SaaS companies and professional services who need to understand customer satisfaction, feature requests, and pain points. The AI probes deeper when customers mention issues and automatically routes feedback to the right teams.
Deeper insights
Higher completion
Real-time action
Used 2,380+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
How likely are you to recommend our product/service to a colleague?
What's the most important improvement we could make to better serve you?
How it adapts
Follow-ups that change based on what people say.
If customer rates satisfaction below 7, ask about specific pain points and escalation needs
If customer mentions competitors, probe deeper about feature gaps and switching considerations
Where it routes people
Different paths for different answers.
Route urgent issues (satisfaction score below 5) immediately to customer success team
Send feature requests and product feedback to product management queue
Automations it can trigger
Actions that fire the moment a response comes in.
Create Salesforce case for detractors with priority flag and account context
Add positive feedback to HubSpot contact record and trigger advocacy workflow
Send feature requests to ProductBoard with customer segment and revenue data
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI template works
The AI starts with core satisfaction questions, then adapts based on responses - digging deeper into complaints, exploring feature requests, and identifying expansion opportunities. All feedback gets categorized and routed to product, support, or sales teams automatically.
Getting started
- 1
Define your key customer satisfaction metrics and feedback categories
- 2
Set up routing rules for different feedback types and severity levels
- 3
Configure integrations with your CRM and product management tools
- 4
Launch conversations and monitor feedback trends in real-time
Template Details
- Agent Type
- Evaluator
- Category
- Customer feedback survey
- Industry
- SaaS / TechProfessional Services
- Business outcome
- Improve customer satisfactionReduce churn
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluationRetention
- Replaces
- Survey tools
- Integrations
- Slack, Hubspot, Webhook
- Times Used
- 2,380+
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
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Static VOC forms get abandoned when customers see 15 rating scales about satisfaction. You miss feedback from churned customers who won't spend 10 minutes on your questionnaire.
- Fixed feedback forms can't explore why a customer rates you poorly. A '2-star' rating tells you nothing about whether it's pricing, product gaps, or support issues.
- Traditional customer feedback forms treat all responses equally. Urgent escalation signals get buried in generic survey data while frustrated customers slip away.
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
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- AI conversations adapt when customers mention specific issues, asking follow-up questions to uncover root causes. Turn 'poor support' into actionable feedback about response times and knowledge gaps.
- Conversational feedback feels like talking to someone who cares about the response. Completion rates jump from 15% to 45% because customers want to share their full story.
- Smart questioning identifies high-priority feedback automatically. When customers mention competitors or cancellation, the conversation dives deeper to understand retention risks.
What makes voice of customer feedback programs effective?
Effective voice of customer programs capture both what customers think and why they feel that way. The best VOC approaches use adaptive questioning that explores responses in context rather than collecting generic satisfaction ratings. Modern customer feedback combines quantitative metrics with qualitative depth, helping teams understand not just sentiment scores but specific product gaps and retention risks. Companies with strong VOC programs see 2x higher customer retention because they act on insights before customers leave.
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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