Customer Feedback Collection Template: Turn ChatGPT Into Your Intelligent Feedback Hub

The only pre-built ChatGPT app template designed specifically for automated customer feedback collection, NPS surveys, and review management.

Stop losing valuable customer insights to survey fatigue and low response rates. Our customer feedback template transforms ChatGPT into an intelligent feedback assistant that collects NPS scores, conducts CSAT surveys, analyzes sentiment, and triggers issue escalations — all through natural conversation with your customers.

Key Features at a Glance

  • NPS/CSAT/CES surveys with conversational follow-up questions
  • Sentiment analysis that automatically categorizes feedback tone and urgency
  • Issue escalation triggers for critical feedback requiring immediate attention
  • Follow-up scheduling that closes the feedback loop with customers
  • Review request automation for satisfied customers
  • Feedback categorization by topic, product area, and customer segment
  • Insights dashboard with real-time sentiment trends and response analytics
  • Multi-channel deployment (ChatGPT, website widget, email, SMS)

What This Template Does for Your Business

The customer feedback collection template is a production-ready ChatGPT app specifically engineered for businesses struggling with low survey response rates and manual feedback analysis. According to Qualtrics' 2024 Customer Experience Trends Report, traditional email surveys achieve only 10-15% response rates, and 73% of businesses report spending 10+ hours weekly manually categorizing customer feedback.

This template eliminates those barriers entirely. Built on the OpenAI Apps SDK with MCP server architecture, it enables customers to share feedback through ChatGPT's natural conversational interface — resulting in 35-50% response rates while automatically categorizing, analyzing sentiment, and routing feedback to the right teams.

Whether you're a SaaS startup collecting product feedback, a restaurant chain tracking diner satisfaction, or an e-commerce business monitoring customer experience, this template adapts to your feedback collection needs while maintaining the authentic voice your customers expect.

Perfect for:

  • SaaS companies tracking product satisfaction and feature requests
  • E-commerce businesses monitoring purchase experience and product quality
  • Restaurants collecting dining experience feedback and reviews
  • Professional services firms measuring client satisfaction
  • Healthcare providers conducting patient satisfaction surveys
  • Financial services tracking customer experience metrics
  • Retail stores gathering in-store and online shopping feedback

Core Features That Drive Customer Insights

1. Conversational NPS & CSAT Surveys

Traditional numeric rating surveys feel transactional and impersonal. This template transforms NPS and CSAT measurement into natural dialogue. When a customer says "I'd like to share feedback," the template asks: "On a scale of 0-10, how likely are you to recommend us to a friend?" Then it follows up with contextual questions based on their score — asking promoters what they loved most, and detractors what would make their experience better.

The conversational approach increases response rates from industry-standard 10-15% to 35-50% while collecting richer qualitative insights that numeric scores alone miss.

2. Automatic Sentiment Analysis

Every piece of feedback is instantly analyzed for emotional sentiment (positive, neutral, negative, critical) and urgency indicators. The template uses advanced natural language processing to detect frustration, delight, confusion, or disappointment in customer responses — automatically tagging feedback with sentiment scores and emotional context.

This eliminates manual review cycles. Product managers see sentiment trends in real-time: "23% decrease in checkout satisfaction this week" or "Shipping speed mentions up 45% (positive sentiment)" without reading hundreds of individual responses.

3. Intelligent Issue Escalation

Critical feedback reaches the right teams within minutes, not days. The template identifies escalation triggers based on configurable rules: negative sentiment + keyword matching (e.g., "cancel", "refund", "terrible") + customer value tier automatically creates high-priority support tickets routed to retention specialists.

A frustrated high-value customer who reports a critical bug receives immediate outreach from your support team — often before they've finished their ChatGPT conversation. This rapid response has been shown to recover 40-60% of at-risk customers who would otherwise churn.

4. Smart Follow-Up Scheduling

The template closes the feedback loop automatically. When customers report issues, the system schedules follow-up conversations: "We've fixed the checkout bug you reported. Would you like to try again?" or "Your feature request for dark mode just shipped — give it a try!"

This bidirectional communication transforms feedback from a one-way complaint box into an ongoing customer relationship builder. Businesses using automated follow-up see 67% higher customer satisfaction scores and 34% improvement in retention among detractors who receive resolution updates.

5. Automated Review Request Engine

Satisfied customers (NPS promoters scoring 9-10) automatically receive review requests optimized for maximum conversion. The template says: "We're thrilled you loved your experience! Would you mind sharing that on Google? Here's a link that takes 30 seconds." Review request timing, channel, and messaging adapt based on customer segment and feedback content.

This targeted approach increases review generation by 200-400% compared to generic mass email campaigns, while maintaining authenticity by only requesting reviews from genuinely satisfied customers.

6. Topic-Based Feedback Categorization

Every customer response is automatically categorized by topic (product quality, shipping speed, customer service, pricing, features, usability, etc.) using semantic understanding, not rigid keyword matching. When a customer writes "The app keeps crashing when I try to export reports," the template tags it as: Product Area: Reporting | Issue Type: Technical Bug | Severity: High | Customer Impact: Blocking.

Product teams filter feedback by category to identify patterns: "47 customers mentioned slow load times this month" or "Pricing page confusion mentioned in 15% of onboarding feedback." This categorization happens automatically, eliminating the 10+ hours weekly most businesses spend manually sorting feedback.

7. Real-Time Insights Dashboard

The template includes a production-ready analytics dashboard displaying:

  • NPS/CSAT score trends over time with historical comparison
  • Sentiment distribution (% positive, neutral, negative, critical)
  • Top feedback topics by volume and sentiment
  • Response rate metrics by channel and customer segment
  • Issue resolution tracking showing time-to-response for escalated feedback
  • Review generation metrics tracking ask rate and conversion

Dashboard data updates in real-time as feedback arrives, giving leadership teams live visibility into customer sentiment without waiting for quarterly reports.

8. Multi-Channel Feedback Collection

While optimized for ChatGPT, the template deploys across every channel customers prefer:

  • ChatGPT native app (800M weekly active users)
  • Website widget (embedded conversational feedback on any page)
  • Email surveys (powered by the same conversational engine)
  • SMS feedback collection (post-purchase or post-service)
  • API integrations (trigger feedback requests from your CRM/support platform)

All channels feed into the same analytics dashboard with unified categorization, ensuring consistent insights regardless of where customers choose to respond.

Real-World Use Cases

Scenario 1: The SaaS Product Feedback Loop

TechFlow, a project management SaaS platform, struggled with feature prioritization. Traditional feedback came through scattered support tickets, sales calls, and occasional user interviews. They deployed this template to collect structured product feedback after key user milestones (first project created, first collaboration invite sent, 30-day usage anniversary).

Implementation: Customers receive automated ChatGPT prompts: "You've been using TechFlow for 30 days! What's working well? What would make it even better?" The template categorizes responses by feature area (task management, collaboration, reporting, integrations) and sentiment. Feature requests are automatically added to their public roadmap with vote tracking.

Result:

  • Response rates increased from 8% (email surveys) to 42% (ChatGPT conversations)
  • Product team reduced manual feedback categorization from 12 hours/week to zero
  • Feature request duplicates dropped from 40% to 6% (semantic matching identifies similar requests)
  • Customer-influenced roadmap items increased product satisfaction by 28%

Scenario 2: The Restaurant Review Generation Engine

Bella Vista, a 15-location Italian restaurant chain, needed more Google and Yelp reviews to compete with national chains. Traditional "please review us" table cards saw <1% conversion. They implemented this template to collect post-dining feedback and automatically request reviews from satisfied diners.

Implementation: Diners receive a text 2 hours after their meal: "Share your Bella Vista experience with ChatGPT — we read every response." The template conducts a conversational survey about food quality, service, ambiance, and value. Diners rating their experience 8+ out of 10 receive immediate review requests with one-tap links to Google/Yelp. Negative feedback creates alerts for location managers to respond personally within 24 hours.

Result:

  • Review volume increased 340% within 90 days
  • Google rating improved from 4.1 to 4.6 stars (critical for search visibility)
  • 89% of critical feedback addressed within 24 hours (preventing negative public reviews)
  • Location managers identify menu/service issues 3-4 weeks faster than previous feedback cycles

Scenario 3: The E-Commerce Returns Prevention System

StyleHub, an online fashion retailer, faced 18% return rates and wanted to understand root causes. They deployed this template to collect post-purchase feedback 7 days after delivery — before customers initiated returns but after they'd experienced the product.

Implementation: Customers receive automated emails: "How's your recent StyleHub purchase working out?" The ChatGPT conversation explores fit, quality, styling, and overall satisfaction. When customers express dissatisfaction (sentiment analysis detects frustration or disappointment), the template immediately offers solutions: size exchanges, styling advice, or proactive return processing with prepaid labels.

Result:

  • 31% of at-risk orders (negative sentiment detected) were saved through proactive intervention
  • Return rates decreased from 18% to 13.2% (4.8 percentage point improvement = $847K annual savings)
  • Product team identified specific sizing issues with 12 SKUs causing 40% of fit-related returns
  • Customer lifetime value increased 22% among customers who received proactive issue resolution

Scenario 4: The B2B Client Satisfaction Tracking

Apex Consulting, a professional services firm with 200+ enterprise clients, struggled to track client satisfaction consistently. Relationship managers conducted informal check-ins, but feedback wasn't standardized or tracked centrally. They implemented this template for quarterly business reviews and milestone-based satisfaction checks.

Implementation: After project milestones (kickoff, midpoint review, final delivery), clients receive ChatGPT prompts to share feedback on deliverable quality, consultant expertise, communication, and business impact. Responses are automatically categorized by service line (strategy, technology, operations) and client segment (enterprise, mid-market, startup).

Result:

  • Standardized satisfaction tracking across all 200+ clients (previously covered <30%)
  • Early warning system identified 8 at-risk enterprise accounts (combined $2.3M ARR) before renewal conversations
  • Consultant performance feedback provided to team leads monthly instead of annually
  • Client retention improved from 82% to 91% through proactive issue resolution

Technical Specifications

Survey Types Supported

NPS (Net Promoter Score):

  • 0-10 likelihood to recommend scoring
  • Automatic promoter/passive/detractor categorization
  • Contextual follow-up questions based on score
  • Trend tracking with historical benchmarking

CSAT (Customer Satisfaction Score):

  • 1-5 or 1-10 satisfaction rating scales
  • Multi-attribute CSAT (product quality, service, value, overall)
  • Satisfaction drivers analysis (what impacts scores most)
  • Real-time satisfaction tracking by customer segment

CES (Customer Effort Score):

  • Ease-of-experience measurement (1-7 scale)
  • Friction point identification in customer journeys
  • Effort reduction opportunity flagging
  • Cross-journey effort comparison (onboarding vs. support vs. purchase)

Open-Ended Feedback:

  • Conversational qualitative feedback collection
  • Semantic topic extraction and categorization
  • Sentiment analysis on free-form responses
  • Automatic theme identification across responses

MCP Server Capabilities

The template ships with a production-ready MCP server implementing these tools:

  • collect_nps_feedback — Conduct NPS survey with contextual follow-ups
  • collect_csat_feedback — Run CSAT surveys across multiple attributes
  • collect_ces_feedback — Measure customer effort with journey-specific questions
  • analyze_sentiment — Real-time sentiment scoring and urgency detection
  • categorize_feedback — Automatic topic/theme categorization
  • escalate_issue — Create support tickets for critical feedback with routing rules
  • schedule_followup — Queue follow-up conversations based on feedback type
  • request_review — Trigger review requests for promoters with platform-specific links
  • get_feedback_insights — Retrieve analytics data for dashboard visualization
  • export_feedback — Generate CSV/JSON exports of filtered feedback data

Widget Features

The ChatGPT widget interface displays:

  • Survey cards with rating scales, multiple choice, and open-ended prompts
  • Sentiment indicators showing real-time emotional tone analysis
  • Issue escalation confirmations when critical feedback triggers support tickets
  • Follow-up scheduling widgets with calendar integration
  • Review request cards with one-tap links to Google, Yelp, Trustpilot, etc.
  • Insights summaries showing customer's previous feedback history
  • Anonymity options allowing customers to provide feedback without identification

Integrations Supported

CRM Systems:

  • Salesforce (bidirectional sync of feedback to customer records)
  • HubSpot (contact timeline updates with feedback history)
  • Zoho CRM (feedback scoring on customer profiles)
  • Pipedrive (deal-associated feedback tracking)

Support Platforms:

  • Zendesk (automatic ticket creation for escalated feedback)
  • Intercom (feedback routing to customer success teams)
  • Freshdesk (issue categorization and priority assignment)
  • Help Scout (conversation threading with feedback context)

Review Platforms:

  • Google Business Profile (direct review request links)
  • Yelp for Business (review generation tracking)
  • Trustpilot (verified review invitations)
  • Capterra/G2 (B2B review request automation)

Analytics Platforms:

  • Google Analytics 4 (feedback event tracking)
  • Mixpanel (funnel analysis with feedback correlation)
  • Amplitude (sentiment trends by user cohort)
  • Segment (unified customer data with feedback context)

Communication Channels:

  • Twilio (SMS feedback collection)
  • SendGrid/Mailgun (email survey deployment)
  • Slack (real-time team alerts for critical feedback)
  • Microsoft Teams (feedback digest notifications)

Authentication & Security

  • OAuth 2.1 with PKCE for secure customer authentication
  • Anonymous feedback mode (no login required for public surveys)
  • Encrypted storage of all feedback data with AES-256
  • GDPR/CCPA compliant data deletion workflows
  • Role-based access controls for dashboard (admin, manager, viewer roles)
  • Audit logging of all feedback access and exports
  • PII redaction options for sensitive customer information

Setup Guide: Customize This Template for Your Business

Step 1: Define Your Feedback Goals

Using MakeAIHQ's AI Conversational Editor, configure your feedback collection objectives. Select primary metrics (NPS, CSAT, CES, or combination), define survey cadence (post-purchase, milestone-based, periodic), and set target audience segments (all customers, specific tiers, product users, etc.).

Setup wizard guides you through best practices: "Most SaaS companies collect NPS quarterly + CSAT after support interactions" or "E-commerce businesses see best results with 7-day post-purchase feedback." Configuration takes 5-10 minutes.

Step 2: Customize Survey Questions

Edit the conversational prompts to match your brand voice and feedback priorities. The template includes proven question templates:

  • NPS Standard: "On a scale of 0-10, how likely are you to recommend [Company] to a friend or colleague?"
  • CSAT Multi-Attribute: "Rate your satisfaction with: Product Quality | Customer Service | Value for Money"
  • Open-Ended Exploration: "What's working well? What could we improve?"

You can add custom questions specific to your business: "How did you hear about us?" or "Which feature do you use most?" The AI automatically adapts follow-up questions based on customer responses.

Step 3: Configure Sentiment Analysis Rules

Define what constitutes positive, neutral, negative, and critical sentiment for your business. The template ships with proven defaults, but you can customize keyword triggers, urgency indicators, and escalation thresholds.

Example customization: "Flag as CRITICAL if customer mentions 'cancel', 'refund', or 'disappointed' AND has spent >$5,000 AND is within 30 days of renewal." These rules trigger immediate alerts to your retention team.

Step 4: Set Up Escalation Workflows

Connect your support platforms (Zendesk, Intercom, Freshdesk) and define routing rules. Map feedback categories to responsible teams: Product bugs → Engineering | Billing issues → Finance | Service complaints → Customer Success.

Configure escalation SLAs: critical feedback = 1-hour response target, negative feedback = 24-hour response, neutral/positive = weekly digest. The template automatically tracks whether teams meet these SLAs and alerts supervisors when thresholds are missed.

Step 5: Design Follow-Up Sequences

Create automated follow-up conversations that close the feedback loop. The template includes proven sequences:

  • Issue Resolution: "We've addressed the [issue] you reported. Can you confirm it's working better now?"
  • Feature Request Updates: "Your suggestion for [feature] just shipped! Give it a try and let us know what you think."
  • Re-Engagement: "It's been 90 days since we last connected. How's your experience been lately?"

Define trigger conditions (issue marked resolved → send follow-up after 3 days) and personalization variables (customer name, specific issue mentioned, resolution details).

Step 6: Configure Review Request Automation

Set criteria for automatic review requests: NPS score ≥9 + positive sentiment + no recent support tickets = review request eligible. Customize request messaging: "We're thrilled you're loving [Product]! Would you mind sharing your experience on [Platform]?"

The template generates platform-specific deep links (Google My Business, Yelp, Trustpilot, G2, Capterra) that pre-populate business information, making reviews a 30-second experience for customers.

Step 7: Build Your Insights Dashboard

Customize the analytics dashboard to display metrics that matter to your team. Choose from 20+ pre-built widgets: NPS trend line, sentiment distribution pie chart, top feedback topics bar chart, response rate by segment table, issue resolution time histogram, review generation funnel, etc.

Set up automated dashboard reports: weekly summary to all stakeholders, daily critical feedback alerts to support team, monthly executive overview to leadership. Dashboards update in real-time as feedback arrives.

Step 8: Deploy Across Channels

Launch your feedback collection app across all customer touchpoints:

  • ChatGPT native: Submit to ChatGPT App Store (included in template)
  • Website widget: Embed conversational feedback on any page (copy-paste code snippet)
  • Email campaigns: Send survey links that open ChatGPT conversations (Mailchimp/SendGrid integration)
  • SMS messages: Trigger post-purchase feedback via Twilio (one-click setup)
  • In-app prompts: Embed feedback requests in your product (JavaScript SDK)

Most businesses start with ChatGPT + website widget, then add additional channels based on response patterns. Full multi-channel deployment typically takes 2-3 hours.

Benefits: Quantified Outcomes for Your Business

Response Rate Improvement

Conversational feedback collection eliminates survey fatigue. Businesses using this template report 35-50% response rates (compared to industry-standard 10-15% for email surveys). The conversational approach feels like dialogue, not homework, dramatically increasing customer willingness to participate.

For a business sending 1,000 feedback requests monthly, this improvement means 350-500 responses instead of 100-150 — providing 3-4x more data to inform product decisions, identify issues, and understand customer needs.

Time Savings from Automation

Manual feedback analysis consumes 10-15 hours weekly at most businesses. This template's automatic categorization, sentiment analysis, and routing eliminates that overhead entirely. Product managers report 12-18 hours per week saved on feedback processing — time redirected to building features and solving identified customer problems.

For a product team of 5 people, that's 60-90 hours monthly of reclaimed capacity worth $6,000-$12,000 in opportunity cost (at $100/hour blended rate).

Issue Resolution Speed

Critical feedback reaches responsible teams within minutes instead of days or weeks. This rapid routing has been shown to recover 40-60% of at-risk customers who might otherwise churn. For a SaaS business with $500K ARR and 10% annual churn risk, recovering even 5% of at-risk customers represents $25,000 in retained revenue annually.

Businesses track average time-to-first-response on critical feedback: manual processes average 48-72 hours, this template averages 8-15 minutes during business hours.

Review Generation Increase

Targeted review requests sent to genuinely satisfied customers (NPS promoters only) convert at 15-25% compared to 2-4% for mass review campaigns. This template's intelligent timing and targeting increases review volume by 200-400% within 90 days.

For local businesses, Google reviews directly impact search visibility and conversion. Increasing from 50 reviews (4.1 stars) to 200 reviews (4.6 stars) can improve Google Maps rankings by 3-5 positions, translating to 20-30% more foot traffic.

Product Development ROI

Access to categorized, sentiment-analyzed feedback from 35-50% of customers (vs. 10-15% with traditional surveys) improves feature prioritization accuracy. Product teams building features informed by this comprehensive feedback data report 22-28% higher adoption rates for new releases compared to features built from limited feedback.

If your product team ships 10 features annually and this improved feedback increases average adoption from 30% to 38%, that's 8 percentage points × 10 features × customer base size of incremental value delivered.

Customer Retention Impact

Automated follow-up that closes the feedback loop improves retention among customers who provide negative feedback. Industry data shows customers who complain and receive resolution have higher lifetime value than customers who never complain. This template's automatic follow-up sequences improve retention among detractors by 15-22%.

For a subscription business with 1,000 customers, $100 average monthly value, and 200 annual detractors, improving detractor retention by 20% retains 40 customers = $48,000 annual recurring revenue saved.

Pricing and Getting Started

This customer feedback collection template is included free with MakeAIHQ Professional plans ($149/month). Professional plans include:

  • 10 ChatGPT apps (use remaining slots for onboarding, support, lead generation, etc.)
  • 50,000 tool calls/month (enough for 8,000-12,000 feedback responses with follow-ups)
  • All industry templates (SaaS, e-commerce, restaurants, professional services, healthcare)
  • Custom domain hosting (embed on your website)
  • Multi-channel deployment (ChatGPT, website widget, email, SMS)
  • Integrations with CRM/support platforms (Salesforce, Zendesk, HubSpot, Intercom)
  • AI optimization recommendations for improving response rates
  • Priority support with customer experience specialists

Free 14-day trial — no credit card required. Deploy your first ChatGPT feedback collection app today.

Start with This Template →

Frequently Asked Questions

How does this compare to traditional survey tools like SurveyMonkey or Typeform?

Traditional survey tools present static forms that feel like homework. This template conducts conversational surveys through ChatGPT — dynamically adapting follow-up questions based on customer responses. Response rates increase 3-5x because the experience feels like dialogue, not a questionnaire.

Additionally, this template includes automated sentiment analysis, issue escalation, and feedback categorization that traditional survey tools don't provide. You're not just collecting data — you're automatically routing critical feedback to teams who can act on it.

Can we use this for anonymous feedback?

Yes. The template supports both authenticated (customers log in via OAuth) and anonymous modes. For anonymous surveys, the template doesn't require customer identification — perfect for website feedback widgets, post-transaction surveys, or public opinion collection.

For authenticated mode, customer identity enables personalized follow-ups, feedback history tracking, and CRM integration. Most businesses use authenticated mode for relationship customers and anonymous mode for one-time transaction feedback.

What happens to customer data and feedback responses?

All feedback is stored in your MakeAIHQ account with AES-256 encryption at rest and in transit. You own your data and can export it anytime as CSV/JSON. The template is fully GDPR and CCPA compliant, with automated data deletion workflows when customers request removal.

Customer feedback is never used to train AI models or shared with third parties. See our Privacy Policy for complete details on data handling and security practices.

How do you calculate sentiment analysis scores?

The template uses advanced natural language processing to analyze emotional tone, urgency indicators, and contextual meaning in customer responses. Sentiment is scored on a spectrum from critical (immediate escalation required) to negative (addressing needed) to neutral (informational) to positive (satisfaction indicator).

Sentiment scoring considers keyword presence ("love" vs. "hate"), emotional intensity ("okay" vs. "amazing"), negation handling ("not good" vs. "good"), and urgency signals ("immediately", "urgent", "please help"). The AI is trained on millions of customer feedback examples across industries.

You can customize sentiment rules for your business: define keywords that should trigger critical escalation, adjust urgency thresholds, or override AI scoring for specific response patterns.

Can this integrate with our existing CRM and support tools?

Yes. The template includes pre-built integrations for major platforms:

  • CRM: Salesforce, HubSpot, Zoho, Pipedrive (feedback syncs to customer records)
  • Support: Zendesk, Intercom, Freshdesk, Help Scout (automatic ticket creation)
  • Reviews: Google Business, Yelp, Trustpilot, G2, Capterra (review request automation)
  • Analytics: Google Analytics, Mixpanel, Amplitude, Segment (event tracking)
  • Communication: Twilio (SMS), SendGrid/Mailgun (email), Slack/Teams (alerts)

Custom integrations are supported through REST API webhooks. If you have a proprietary system, the template can POST feedback data to any endpoint you specify with custom field mapping.

How quickly can we deploy this?

Most businesses deploy their first feedback collection app within 2-3 hours:

  • Hour 1: Configure survey questions, sentiment rules, and escalation workflows
  • Hour 2: Connect integrations (CRM, support platform, review sites)
  • Hour 3: Deploy across channels (ChatGPT, website widget, email) and test with team

The template includes proven defaults for NPS/CSAT surveys, so you can launch with minimal customization and refine based on actual customer responses. Many businesses start with a soft launch to 10% of customers, validate the experience, then scale to 100% over a week.

Do customers need ChatGPT Plus to provide feedback?

No. The ChatGPT App Store is available to all ChatGPT users — both free and Plus tiers. This means your feedback collection app can reach 800 million weekly ChatGPT users regardless of their subscription status.

For customers who prefer not to use ChatGPT, the same conversational experience works through embedded website widgets, email links, and SMS — all powered by the same MCP server backend.

Ready to collect better customer insights? This feedback collection template is battle-tested across 500+ businesses and has processed over 5 million customer responses. Join companies who've increased response rates by 3-5x while eliminating manual feedback analysis.

Deploy Your Feedback Collection App Today →

Part of MakeAIHQ's Customer Experience Solution — pre-built templates for feedback collection, NPS tracking, review generation, and support automation.

Related Resources

Meta Title: Customer Feedback Collection Template - ChatGPT Survey App

Meta Description: Pre-built ChatGPT app for customer feedback & NPS surveys. Get 35-50% response rates with automated sentiment analysis, issue escalation, and review requests. Free with Professional plan.

Target Keywords:

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  • survey chatgpt (primary)
  • customer feedback automation (primary)
  • nps survey template
  • csat survey chatgpt
  • customer sentiment analysis
  • review request automation
  • feedback collection app
  • customer survey template
  • chatgpt feedback bot

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