# Customer Satisfaction Follow-Up Workflow

Industry: Customer Support
Difficulty: Beginner
Estimated setup time: 1-3 hours with survey and follow-up rules
Conservative time saved estimate: May save 1-3 hours per week while improving feedback consistency

Use this as a starting brief for an AI agent workflow. Review outputs before sending to customers or updating business records.

## Problem it solves
Teams can close tickets without learning whether the customer is satisfied.

## Desired outcome
The workflow prepares follow-up messages, tags sentiment, and routes negative responses.

## Best for
Support teams that want a simple feedback loop after ticket resolution.

## What it automates
Follow-up drafts, survey links, sentiment labels, and recovery alerts.

## Tools needed
- Help desk
- Survey or CSAT tool
- Email or chat
- AI assistant

## Recommended real-world tools
- Zendesk: https://www.zendesk.com/
  - Best use case: Helpdesk triage, escalation, FAQ response, and customer satisfaction follow-up.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21
- Help Scout: https://www.helpscout.com/
  - Best use case: FAQ response, helpdesk triage, and customer satisfaction follow-up.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21
- Intercom: https://www.intercom.com/
  - Best use case: Customer enquiry workflows, FAQ response, support triage, and chat support.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21
- Freshdesk: https://www.freshworks.com/freshdesk/
  - Best use case: Ticket triage, escalation, refund request workflows, and satisfaction follow-up.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21

## Setup steps
1. Define when a ticket is eligible for follow-up.
2. Exclude unresolved disputes and opt-outs.
3. Route negative sentiment to a person.
4. Review feedback themes in weekly support reporting.

## Example prompt
Draft a short post-resolution follow-up. Include the approved survey link if provided, avoid pressure, and route negative or uncertain responses to a person.

## Human approval rules
- Review customer-facing messages before sending during the pilot.
- Escalate complaints, legal issues, financial commitments, safety issues, and uncertain answers.
- Do not allow the agent to invent facts, pricing, availability, or policy wording.
- Keep a log of reviewed outputs and corrections.

## Test plan
- Sample size: Start with 10-25 real examples before expanding.
- Success metric: Time saved after review, response quality, correction rate, and customer impact.
- Review questions: Was the source data accurate? Did the agent stay within policy? Did a person approve the right cases?
- Rollback plan: Pause automation, disconnect tool access, and return to manual processing if outputs are unreliable.

## Related pages
- https://nexusdirective.com/ai-agents-for-customer-support/
- https://nexusdirective.com/tools/ai-agent-roi-calculator/

## Disclosure
Tool links are official website links and are not affiliate or sponsored links unless marked otherwise. Check official pricing and vendor terms before purchase.
