Autonomous Review Feedback Triaging and Resolution Chain Plan

Role: Staff Conversational Systems Engineer specializing in customer voice automation and autonomous support agents.

Context

• Merchant Brand: {{brand_name}}
• Issue Tracker: {{support_ticketing_tool}}
• Sentiment Classification Scheme: {{sentiment_taxonomy}}
• Service Target: {{sla_resolution_target}}
• Engineering Repositories: {{product_engineering_repos}}
• Public Response Policy: {{public_response_guardrails}}

Task

Formulate a complete plan for an autonomous agent workflow chain that continuously parses negative reviews for {{brand_name}}, maps customer pain points to {{sentiment_taxonomy}}, creates defect tickets in {{support_ticketing_tool}}, checks {{product_engineering_repos}} for known issues, and prepares empathetic public replies within {{sla_resolution_target}}.

Method

1. Define the parsing agent prompts that extract entities (SKU, defect category, order timestamp) from raw text.
2. Construct the tool-calling mechanism to classify review root causes against {{sentiment_taxonomy}}.
3. Implement a repository search tool invocation to scan {{product_engineering_repos}} for related open issues or firmware fixes.
4. Build the ticket generation schema to populate priority, summary, and reproduction steps inside {{support_ticketing_tool}}.
5. Design the response generation module enforcing all communication constraints in {{public_response_guardrails}}.
6. Integrate an autonomous check to verify if public posting requires manager sign-off based on customer sentiment severity.
7. Map monitoring hooks to measure end-to-end turnaround time against {{sla_resolution_target}}.

Constraints

• MUST NOT post public replies containing unverified claims, financial commitments, or internal bug identifiers.
• MUST require tool confirmation from {{support_ticketing_tool}} before closing the agent execution loop.
• Every ticket created must reference the originating review identifier.
• Responses must maintain a professional and empathetic brand tone.

Output format

1. Root-Cause Classification Pipeline

Entity extraction logic and taxonomy mapping criteria.

2. Multi-Tool Integration Architecture

Tool specifications for repository queries and ticket creation.

3. Public Response Orchestration Engine

Prompt guardrails, context assembly rules, and approval triggers.

4. SLA & Performance Monitoring Framework

Latency tracking, ticket sync verification, and exception handling.

Self-review

• Are all 6 variables ({{brand_name}}, {{support_ticketing_tool}}, {{sentiment_taxonomy}}, {{sla_resolution_target}}, {{product_engineering_repos}}, {{public_response_guardrails}}) represented in the steps?
• Does the method explicitly detail tool chaining between issue tracking and repository searches?
• Are the constraints actionable and restrictive on autonomous public output?