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How to Build a Customer Feedback Collection App
A customer feedback app collects ratings, reviews, and open-ended responses from your customers, then uses AI to categorize and summarize the feedback automatically. You can trigger feedback requests via email or SMS after a purchase or service, store all responses in a searchable database, and get AI-generated reports that highlight common themes and urgent issues.
What the App Collects
A feedback collection app typically manages these data fields for each response:
- Customer information including name, email, and phone (can be pre-filled from your CRM or order system)
- Rating on a 1-5 scale or a simple Satisfied/Neutral/Dissatisfied selection
- Category such as Product Quality, Customer Service, Shipping, Website Experience, or Pricing
- Open-ended response where the customer writes their thoughts in their own words
- Date submitted and the product or service the feedback relates to
- AI-generated tags automatically applied after submission by analyzing the text content
Building the App
Step 1: Define the feedback form fields.
Tell the AI what data to collect: "Each feedback record should have customer name, email, a rating from 1 to 5, a category dropdown (Product, Service, Shipping, Website, Other), an open text response, date submitted, and an AI-generated summary field that gets filled automatically."
Tell the AI what data to collect: "Each feedback record should have customer name, email, a rating from 1 to 5, a category dropdown (Product, Service, Shipping, Website, Other), an open text response, date submitted, and an AI-generated summary field that gets filled automatically."
Step 2: Create an API endpoint for submissions.
Ask the AI to create an endpoint that accepts feedback from your website or email links: "Create an API endpoint called submitFeedback that accepts customer name, email, rating, category, and response. It should save the record and then use AI to generate a one-sentence summary and category tags." This lets you embed feedback forms on any website. See How to Create API Endpoints for Your Custom App.
Ask the AI to create an endpoint that accepts feedback from your website or email links: "Create an API endpoint called submitFeedback that accepts customer name, email, rating, category, and response. It should save the record and then use AI to generate a one-sentence summary and category tags." This lets you embed feedback forms on any website. See How to Create API Endpoints for Your Custom App.
Step 3: Set up automated feedback requests.
Create a background job that sends feedback request emails or SMS messages: "Every day at 10 AM, find all orders completed yesterday that have not received a feedback request yet. Send an email to each customer with a link to the feedback form. Mark the order as feedback-requested so it does not get sent again."
Create a background job that sends feedback request emails or SMS messages: "Every day at 10 AM, find all orders completed yesterday that have not received a feedback request yet. Send an email to each customer with a link to the feedback form. Mark the order as feedback-requested so it does not get sent again."
Step 4: Configure AI analysis.
Ask the AI to add analysis features: "When new feedback comes in, use AI to classify the sentiment as positive, negative, or neutral. Also extract the main topics mentioned. Store these as fields on the record." This turns unstructured text into searchable, filterable data.
Ask the AI to add analysis features: "When new feedback comes in, use AI to classify the sentiment as positive, negative, or neutral. Also extract the main topics mentioned. Store these as fields on the record." This turns unstructured text into searchable, filterable data.
AI-Powered Feedback Insights
The most valuable part of a custom feedback app is what AI does with the data after collection:
- Automatic sentiment analysis that classifies each response, letting you filter your feedback list to show only negative responses that need attention
- Theme extraction where AI reads all responses from the past week and identifies the top recurring topics, so you see patterns without reading every response individually
- Weekly summary reports generated by a scheduled job that sends you an email summarizing feedback volume, average rating, most common complaints, and most praised aspects
- Urgent issue flagging where AI identifies feedback that describes a serious problem (safety issue, billing error, service failure) and sends an immediate notification
Connecting to Your Existing Systems
A feedback app works best when connected to your other business tools. If you have a CRM app, feedback can be linked to customer records. If you have a helpdesk app, negative feedback can automatically create a support ticket. These connections are built through the same AI chat interface by describing the integration you want.
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