1. Ask satisfaction
How did the experience go?
Workflow Template
Customer feedback call call app template
Collects qualitative feedback by phone and turns it into themes, ratings, and follow-up actions.
Best fit
- Post-service follow-up
- Product research
- Customer success
Do not use it for
- Harassment or complaint escalation without a human
- Collecting private credentials
Call flow
2. Capture story
What should we improve?
3. Find improvement
Would you like someone to follow up?
4. Offer follow-up
How did the experience go?
5. Save themes
What should we improve?
Prompt template
Collect customer feedback by phone. Ask for rating, what worked, what did not, and whether follow-up is requested. Save structured feedback with themes and next action.Questions asked
- How did the experience go?
- What should we improve?
- Would you like someone to follow up?
Human handoff
- Complaint, refund request, safety concern
- Caller asks for manager
Structured output schema
{
"outcome": "Customer feedback call outcome",
"fields": [
{
"description": "caller name captured during the call.",
"name": "caller_name",
"required": true,
"type": "text"
},
{
"description": "phone number from caller id captured during the call.",
"name": "phone_number_from_caller_id",
"required": true,
"type": "text"
},
{
"description": "rating captured during the call.",
"name": "rating",
"required": true,
"type": "text"
},
{
"description": "positive feedback captured during the call.",
"name": "positive_feedback",
"required": true,
"type": "text"
},
{
"description": "improvement area captured during the call.",
"name": "improvement_area",
"required": true,
"type": "text"
},
{
"description": "follow up requested captured during the call.",
"name": "follow_up_requested",
"required": false,
"type": "text"
},
{
"description": "theme captured during the call.",
"name": "theme",
"required": false,
"type": "text"
}
]
}Transcript example
AI: Hi, I am an AI call workflow for Customer feedback call. How did the experience go?
Caller: I wanted to give feedback on yesterday's service.
AI: What should we improve?
Caller: The work was good, but the arrival window was unclear.
Recommended integrations
NotionGoogle SheetsSlack
Launch review
Caller promise
Make the first screen and opening line match what the caller will actually get. For Customer feedback call, the promise should be narrow enough that a caller understands the purpose before sharing details or scanning a QR code. Avoid broad claims like "we can help with anything"; a specific promise produces cleaner calls and clearer follow-up.
Required outcome
Decide which fields are required before the call can be considered complete. A practical first version should capture caller name, phone number from caller id, rating, then send a summary that the workflow owner can act on without replaying the call. If a field is not used for routing, qualification, scheduling, or review, remove it from the first launch.
Human review
Write down the cases that should not be automated. Use human review for complaint, refund request, safety concern, caller asks for manager so the workflow stays useful without pretending to handle every edge case. Review the first real calls before connecting higher-risk actions or expanding the workflow.
FAQ
When should I use a customer feedback call Call App?
Use it when the call is repeatable, the team already knows the information they need, and the caller benefits from speaking instead of filling out a form. It works best for post-service follow-up, product research, customer success.
What should the AI ask first?
The first question should identify the caller goal and gather enough context to continue naturally. For this template, start with: "How did the experience go?". Keep follow-ups short so the caller does not feel like they are reading a form over the phone.
What output fields should be saved?
Save a structured result with caller name, phone number from caller id, rating, plus a summary, completion status, and handoff reason when needed. The owner should be able to act on the result without interpreting raw transcript text.
What should trigger human handoff?
Human handoff should trigger when the caller needs judgment, asks for a person, gives conflicting answers, or matches one of the workflow-specific rules: complaint, refund request, safety concern, caller asks for manager.
Clone this template
The template includes prompt, questions, output fields, sample transcript, handoff rules, and a live call entry point.