Operating ProcedureExecution layer

Review Response Escalation Workflow (Delivery)

A sequence with 7 steps: Define escalation tiers for review sentiment and topic.

By InnovaAI ResearchPublished

What are the steps?

sequence

Review Response Escalation Workflow (Delivery)

  1. 01

    Define escalation tiers for review sentiment and topic

    Classify incoming reviews into tiers: routine positive, routine negative, sensitive (privacy, safety, legal), and VIP client locations. Assign each tier a default action: auto-publish, human review, or immediate alert.

  2. 02

    Configure the automation tool to route tier-1 reviews to auto-publish

    For routine positive reviews and low-risk negative feedback, set rules to auto-generate and publish replies within the 24-hour window. This preserves speed while keeping human oversight for higher-stakes cases.

  3. 03

    Set up real-time alerts for tier-2 and tier-3 reviews

    Use push notifications, email, or Slack integration to notify the designated human reviewer the moment a sensitive or negative review lands. Include the review text and suggested reply in the alert to speed up triage.

  4. 04

    Draft a human-approved response template library for common scenarios

    Create 10-15 templates covering common issues like pricing complaints, feature requests, and bug reports. Each template should have placeholders for specifics and a clear escalation path if the issue is unresolved.

  5. 05

    Establish a 4-hour SLA for human review of escalated reviews

    Define a maximum response time for tier-2 and tier-3 reviews, ensuring the client's reputation is protected and the 24-hour window is still met. Assign a named owner for each client location.

  6. 06

    Log every escalation and its resolution in a shared tracker

    Maintain a spreadsheet or project management tool that records the review, the tier, the response, and the outcome. This creates an audit trail and helps identify recurring issues for the client.

  7. 07

    Conduct a weekly review of escalation patterns and adjust rules

    Analyze the tracker to spot trends: frequent escalations on a specific topic may indicate a product issue, while a spike in negative reviews at one location may require a different response strategy. Update the automation rules accordingly.