Automate NPS/CSAT Survey Follow-ups Ai Agent Workflow Inspiration

Automatically sends personalized follow-up emails based on customer survey scores, addressing detractors with urgent outreach and engaging promoters for advocacy.

How this Ai Agent Workflow Helps

This workflow is designed for customer experience and success teams who want to maximize the value of their NPS or CSAT survey programs. By automating personalized follow-ups based on customer ratings, teams can close the feedback loop effectively while prioritizing high-impact interventions for at-risk customers.

The process begins when a customer submits an NPS or CSAT survey response, immediately triggering a personalized follow-up workflow. The system intelligently branches based on the customer's score, categorizing them as either a Detractor (0-6 NPS), Passive (7-8 NPS), or Promoter (9-10 NPS), or using equivalent CSAT thresholds. Each category then receives a different AI-generated response tailored to their satisfaction level.

For detractors, the workflow alerts the CSM team and generates an empathetic, apologetic email acknowledging their concerns and offering direct assistance. Passives receive acknowledgment of their feedback with a specific request for improvement suggestions. Promoters are thanked warmly for their support and gently invited to consider sharing a testimonial or referral. This personalized approach shows customers that their feedback is valued and acted upon, improving overall satisfaction and retention.

Who this Ai Agent Workflow Is For

Go-To-Market Pros

You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.

Ai Builders

You want inspiration for real-world ways to help people as you're building your Ai product.

Pros Focused on the Retention Stage

You're focused on the Retention stage in your daily job and want to find ways for Ai to help you do more with less.

Ai Agent WorkflowExample as Inspiration

Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?

Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.

And test it! Learn what works and what doesn't.

Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.

1. Trigger: Survey Submission
Trigger. Initiate the follow-up workflow when a customer submits an NPS or CSAT survey response.
Trigger Event
2. Branch by Survey Score
Tool Call. Whenever an NPS survey is submitted, branch the workflow based on the score (Promoter, Detractor, Passive).
Workflow
Workflow Automation Zapier n8n Integromat
3. Draft Detractor Email
LLM Call. For detractors, immediately alert the CSM and use LLM to draft a personalized, apologetic email offering to discuss improvements.
Email
LLM OpenAI Anthropic Google Gemini

Prompt

Draft a personalized follow-up email for a customer who gave us a low satisfaction score. Use the following information:

Customer Name: {customerName}
Company: {companyName}
Survey Type: {surveyType} (NPS or CSAT)
Score Given: {score} (on a scale of 0-10 for NPS, 1-5 for CSAT)
Feedback Comment: {feedbackComment}
Assigned CSM: {csmName}
CSM Email: {csmEmail}
Account History: {accountHistory}

The email should:
1. Come from their assigned CSM
2. Express genuine concern and appreciation for their feedback
3. Acknowledge the specific issues mentioned in their feedback (if any)
4. Apologize sincerely for their negative experience
5. Offer a specific next step (e.g., schedule a call to discuss improvements)
6. Include the CSM's direct contact information
7. Demonstrate urgency and commitment to resolving their concerns

The tone should be empathetic, personal, and solution-oriented. Avoid generic corporate language or excuses.

4. Draft Promoter Email
LLM Call. For promoters, draft a thank-you email and optionally ask for a referral or review.
Email
LLM OpenAI Anthropic Google Gemini

Prompt

Draft a personalized thank-you email for a customer who gave us a high satisfaction score. Use the following information:

Customer Name: {customerName}
Company: {companyName}
Survey Type: {surveyType} (NPS or CSAT)
Score Given: {score} (9-10 for NPS, 4-5 for CSAT)
Feedback Comment: {feedbackComment}
Assigned CSM: {csmName}
Product Used: {productName}
Customer Tenure: {customerTenure}

The email should:
1. Express genuine appreciation for their high rating and positive feedback
2. Reference specific points from their feedback if available
3. Thank them for their continued partnership
4. Include a soft, non-pushy ask for one of the following (choose the most appropriate):
a. A testimonial or case study if they're a long-term successful customer
b. A review on a relevant platform (G2, Capterra, etc.)
c. A referral if they mentioned knowing others who could benefit from our solution
5. Make it easy for them to say yes by including relevant links

The tone should be warm, appreciative, and not overly transactional. Make them feel valued while making any ask feel like an opportunity rather than an obligation.

5. Draft Passive Email
LLM Call. For passives, send an email acknowledging their feedback and inviting suggestions for improvement.
Email
LLM OpenAI Anthropic Google Gemini

Prompt

Draft a personalized follow-up email for a customer who gave us a middle-range satisfaction score. Use the following information:

Customer Name: {customerName}
Company: {companyName}
Survey Type: {surveyType} (NPS or CSAT)
Score Given: {score} (7-8 for NPS, 3 for CSAT)
Feedback Comment: {feedbackComment}
Assigned CSM: {csmName}
Product Features Used: {featuresUsed}

The email should:
1. Thank them for taking the time to provide feedback
2. Acknowledge that while they seem satisfied, we're committed to making their experience even better
3. Reference any specific points from their feedback
4. Ask a direct, specific question to uncover what would make them more enthusiastic about our product/service
5. Mention 1-2 relevant features or resources they might not be fully utilizing (based on their usage data)
6. Offer assistance in optimizing their experience

The tone should be helpful and curious rather than defensive. Focus on genuine improvement and show that their specific feedback matters to us. Make it easy for them to respond with additional insights.

6. Send Follow-up Emails
Tool Call. Send the appropriate email to the customer based on their score category, and log the interaction in the CRM.
Email
Email Automation SendGrid Mailchimp HubSpot

Ask Pathdraft Ai agent to plan your next (or first 👊) Ai agents

Craft an Ai automation or agent plan, just for your b2b. Simple. The first step in automating across your buyer and customer journeys: inspiration for what to build. Talk with an Ai agent via your phone to quickly create your custom Ai agent plan.

1. Call (813) 906-1084 2. Chat with Pathdraft Ai agent 3. Agent emails your agent plan
Awareness Agent
Consideration Agent
Purchase Decision Agent
Onboarding Agent
Retention Agent
Expansion Agent
Advocacy Agent
Awareness Agent
Consideration Agent
Purchase Decision Agent
Onboarding Agent
Retention Agent
Expansion Agent
Advocacy Agent