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This Review Request after Service voice AI workflow turns a defined business event into a DialNexa conversation, a structured outcome, and a traceable next action. Best for: Local services, Healthcare, Hospitality, Professional services Review requests work best when they are timed after a successful service moment and avoid pushing unhappy customers to public review sites before the issue is handled. This workflow identifies satisfied customers, sends review links, and routes unhappy feedback to service recovery. Review request after service workflow diagram

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Who Should Use This Review Request after Service Workflow

  • Local services, healthcare practices, hospitality, real estate, ecommerce, education, and professional services.
  • Businesses where online reputation affects acquisition.
Track review request response, public review completion, negative-feedback recovery, rating improvement, and review volume by location. The workflow matters because reviews influence conversion and local search visibility.

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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.

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How The Review Request after Service Voice AI Workflow Works

  1. A completed appointment, delivery, purchase, or support case starts the workflow.
  2. DialNexa checks customer, location, staff member, service type, and outcome.
  3. The AI asks a short satisfaction question.
  4. Satisfied customers receive a review link.
  5. Unhappy customers create a service recovery task instead of a public review request.
  6. Staff receive alerts for urgent negative feedback.
  7. Reporting tracks review generation by source and location.

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Build The Review Request after Service Workflow Step By Step

  1. Define the trigger. Choose one source event and document which records are eligible for the workflow.
  2. Prepare the agent. Add the goal, questions, approved actions, disallowed actions, and transfer conditions to the agent prompt.
  3. Map call context. Pass only the required customer and business fields through dynamic variables.
  4. Connect the systems. Use a workspace connector when it is available. Otherwise use a custom function, agent webhook, or external automation service.
  5. Store structured outcomes. Define the exact status, reason, owner, due date, and destination record ID that the workflow must produce.
  6. Add the next action. Configure the workflow or application node that updates the destination system, sends a message, or creates a human-owned task.
  7. Test every branch. Test success, rejection, no answer, wrong person, opt-out, missing data, provider failure, and human escalation before launch.

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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

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Example Integration Stack

Provider pages describe possible connection patterns. Confirm the provider and required action in your DialNexa workspace before relying on a native connector.

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Human Review And Failure Paths

Avoid review gating that violates platform rules. Escalate complaints, refund requests, safety concerns, and angry customers to staff. 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.

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Verify The Workflow Before Launch

Run at least one test for every outcome branch and confirm that:
  1. Only eligible records enter the workflow.
  2. The agent receives the expected variables and does not expose internal field names.
  3. The destination system stores the correct status, owner, and DialNexa call ID.
  4. Retried events do not create duplicate calls or duplicate downstream records.
  5. Opt-outs and human-handoff cases stop automation immediately.
  6. The next owner can understand the result and promised next step from the destination record.

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Measure The Review Request after Service Workflow

Compare the baseline with the first 50 to 100 completed runs, then review results by source, segment, owner, and outcome.
  • Review request response rate
  • Public review completion
  • Negative feedback recovery rate
  • Rating improvement
  • Review volume by location
  • Staff follow-up completion
Track error rate, duplicate rate, human-review rate, and opt-out rate alongside the business metrics above.

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Troubleshoot Common Workflow Problems

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Frequently Asked Questions

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When should DialNexa ask for a review?

Ask after the service is completed and the customer has had enough time to experience the result. Do not request a public review while a complaint, refund, or unresolved issue is still open. No. Happy customers can receive the review link. Unhappy customers should be routed to service recovery with the issue, owner, and transcript summary.

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What feedback needs staff follow-up?

Route low satisfaction, safety concerns, refund demands, repeat complaints, employee mentions, and customers who ask for a manager or callback.

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What should service teams measure?

Track review request rate, review completion, recovered unhappy customers, follow-up completion, and common complaint categories. Avoid measuring only star count.