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?
Review Response Escalation Workflow (Delivery)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.