Who Should Use This Post-call Feedback Survey Workflow
- Support teams, healthcare providers, hospitality, education, financial services, ecommerce, and field services.
- Businesses that care about CSAT, NPS, service recovery, and quality assurance.
Before You Begin
Prepare the following before building the workflow:- A clear source event that should start the call.
- A published DialNexa agent with an approved prompt and human-handoff rule.
- A test contact who has agreed to receive the call.
- Access to each source and destination system in the example stack.
- A short list of structured outcomes to store with post-call analysis.
- An owner for failed runs, sensitive requests, and low-confidence matches.
How The Post-call Feedback Survey Voice AI Workflow Works
- A completed call, appointment, delivery, or support ticket starts the workflow.
- DialNexa checks the customer, interaction type, owner, issue category, and service outcome.
- The AI asks a short feedback question by voice or message.
- Positive feedback is tagged with product, location, agent, or service line.
- Negative feedback collects the reason and asks whether the customer wants a follow-up.
- Escalations create a support ticket or CRM task with the transcript and score.
- Analytics receives structured results for trend review.
Build The Post-call Feedback Survey Workflow Step By Step
- Define the trigger. Choose one source event and document which records are eligible for the workflow.
- Prepare the agent. Add the goal, questions, approved actions, disallowed actions, and transfer conditions to the agent prompt.
- Map call context. Pass only the required customer and business fields through dynamic variables.
- Connect the systems. Use a workspace connector when it is available. Otherwise use a custom function, agent webhook, or external automation service.
- Store structured outcomes. Define the exact status, reason, owner, due date, and destination record ID that the workflow must produce.
- Add the next action. Configure the workflow or application node that updates the destination system, sends a message, or creates a human-owned task.
- Test every branch. Test success, rejection, no answer, wrong person, opt-out, missing data, provider failure, and human escalation before launch.
Data Contract For This Workflow
Store enough data to explain what happened without requiring the next owner to read the entire transcript:- Source event ID, source record URL, and workflow start time
- DialNexa call ID, agent version, call status, and end reason
- Matched customer or account ID and identity confidence
- Structured outcome, reason, urgency, requested next step, and any promise made
- Destination record ID, assigned owner, due date, and update result
- Transcript or recording link only when your privacy and retention rules allow it
Example Integration Stack
- Zendesk for service recovery tickets.
- HubSpot for customer context.
- SurveyMonkey for survey records.
- Slack for urgent complaint alerts.
- Google BigQuery for trend reporting.
Provider pages describe possible connection patterns. Confirm the provider and required action in your DialNexa workspace before relying on a native connector.
Human Review And Failure Paths
Keep the survey short. Do not call customers too often. Escalate safety, compliance, discrimination, billing, or cancellation complaints to a human owner. Always send opt-outs, complaints, identity uncertainty, policy exceptions, sensitive data, and actions that change money, access, legal terms, or customer commitments to a trained person.Verify The Workflow Before Launch
Run at least one test for every outcome branch and confirm that:- Only eligible records enter the workflow.
- The agent receives the expected variables and does not expose internal field names.
- The destination system stores the correct status, owner, and DialNexa call ID.
- Retried events do not create duplicate calls or duplicate downstream records.
- Opt-outs and human-handoff cases stop automation immediately.
- The next owner can understand the result and promised next step from the destination record.
Measure The Post-call Feedback Survey Workflow
Compare the baseline with the first 50 to 100 completed runs, then review results by source, segment, owner, and outcome.- Survey response rate
- CSAT or NPS by segment
- Negative feedback recovery rate
- Complaint categories by product or location
- Repeat complaint rate
- Time from complaint to owner action