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Customer follow-up and review requests

Automatically sends personalized follow-up communications and review requests to customers after service completion, increasing customer satisfaction scores and generating more online reviews.

Workflow Trigger

Service job marked as completed in field service management system

Visual Flow

Each node represents an automated step. Connections show how data and decisions move through the workflow.

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

  1. 1
    Trigger

    Job completion detected

    Workflow initiates when technician marks a service job as completed in the system. Customer and job details are captured for follow-up processing.

  2. 2
    Action

    Wait for completion window

    System waits 2-4 hours after job completion to allow customer time to experience the completed work. Ensures follow-up timing feels appropriate and not rushed.

  3. 3
    Action

    Send satisfaction survey

    Automated SMS or email survey sent asking about service quality and technician performance. Uses customer's preferred communication method from their profile.

  4. 4
    Decision

    Evaluate customer satisfaction score

    Workflow branches based on survey response score. High scores (4-5 stars) trigger review requests, while low scores trigger service recovery actions.

  5. 5
    Action

    Send targeted review request

    For satisfied customers, sends personalized review request with direct links to Google, Yelp, and company-preferred review platforms. Includes service details and technician name.

  6. 6
    Action

    Create service recovery task

    For unsatisfied customers, automatically creates follow-up task for customer service manager and flags account for priority attention. Prevents negative reviews through proactive outreach.

  7. 7
    Output

    Log follow-up completion

    Records all follow-up activities in customer profile and generates summary report. Updates customer communication preferences and review request history.

Outputs

  • Automated customer satisfaction survey
  • Targeted online review requests
  • Service recovery tasks for unhappy customers

Key Metrics

  • Customer satisfaction score
  • Review request response rate
  • Online review volume increase
OA

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