Automated Customer Satisfaction Survey and Analysis
Design a system that triggers CSAT and NPS surveys at key touchpoints, analyzes responses, and generates improvement action plans.
Create a continuous feedback loop that captures customer sentiment at the right moments and drives measurable improvements.
At a glance
Access
Free prompt
Open to copy — no account or payment needed.
Prompt objective
Create a continuous feedback loop that captures customer sentiment at the right moments and drives measurable improvements.
Real use case
A company sends an annual NPS survey with 15% response rate. They miss transactional feedback moments and can't correlate scores with specific experiences.
Customize these fields first
Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Act as a customer experience measurement specialist. Design an automated CSAT/NPS survey system for [COMPANY NAME]. **Context:** - Survey types: NPS (relationship), CSAT (transactional), CES (effort) - Trigger events: after support ticket resolved, after onboarding complete, quarterly relationship, after feature adoption, [OTHER] - Target response rate: [PERCENTAGE]% - Current response rate: [PERCENTAGE]% - Survey channel: [EMAIL/IN-APP/SMS] **Deliverables (numbered):** 1. Survey trigger matrix: define which survey fires on which event, timing (immediate vs. delayed), frequency caps (max [NUMBER] surveys per customer per [PERIOD]), and suppression rules 2. Survey design: NPS question (0-10 + why), CSAT question (1-5 + comment), CES question (1-7 + comment) with mobile-optimized formatting and max [NUMBER] questions total 3. Response analysis: auto-classify verbatim comments by theme and sentiment, calculate scores by segment/channel/product, track trends over time 4. Detractor follow-up: automatic ticket creation for detractors (NPS 0-6) with full response context, route to CSM for outreach within [HOURS] hours, track resolution 5. Promoter activation: identify promoters (NPS 9-10) for referral requests, case study invitations, and review requests 6. Action planning: monthly analysis of top drivers of satisfaction and dissatisfaction, generate improvement recommendations with estimated impact, assign owners 7. Reporting dashboard: real-time NPS/CSAT scores, response rates, trend analysis, driver analysis, detractor follow-up status, and correlation with churn/revenue **Constraints:** - Must never survey the same customer within [DAYS] days of previous survey - Must support survey in customer's preferred language - Must handle survey fatigue with adaptive frequency
Open directly in an AI — the text is pre-filled:
How to use this prompt
- 1Replace the key placeholders first: COMPANY NAME, OTHER, PERCENTAGE, EMAIL/IN-APP/SMS.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
- 4Combine multiple prompts in one conversation when you need a richer output.
- 5Save your best-performing prompts so they are easy to reuse later.
Next best step
Open the guide first, then branch only if you still need more.
A fast starting guide for professionals who want to get AI working in the real world in less than a week.
If this prompt is close but not quite right, generate variants next. If the job is recurring, move into the course library after the guide.
Related prompts
View allAutomated Customer Feedback Analysis and Action Pipeline
Build a system that collects customer feedback from multiple channels, analyzes sentiment and themes, and generates actionable improvement recommendations.
Best for
Transform raw customer feedback into prioritized action items that drive product and service improvements.
Automated Live Chat to Ticket Escalation System
Design a system that handles live chat conversations, detects when issues need escalation, creates support tickets with full context, and ensures smooth handoff.
Best for
Ensure complex chat conversations are seamlessly escalated to the right team with complete context, reducing resolution time and customer frustration.
Automated Customer Onboarding Email Sequence
Build a triggered email sequence that guides new customers through product setup, feature discovery, and first value achievement.
Best for
Increase new customer activation rates by delivering the right guidance at the right time based on their product usage.
Automated Customer Churn Prediction and Intervention
Design a system that identifies at-risk customers based on usage patterns, support interactions, and engagement signals, then triggers retention actions.
Best for
Proactively identify and intervene with at-risk customers before they churn, reducing churn rate by 25%.
Every prompt here is free. The course teaches the thinking behind them.
Copy as many prompts as you like. When you want to move from single prompts to a repeatable AI workflow, Learn AI in 30 Days walks through it, one day at a time.
Buy the course once ($15/$20 by length), or go all-access for $10/mo with a verifiable certificate.