A feedback collection tool built with AI gives you a working application with custom forms, automatic sentiment analysis, and a visual dashboard. On aidowith.me, you follow a 16-step route that takes about 4 hours. You start by defining what feedback you need: NPS scores, open-ended responses, feature requests, or bug reports. AI generates the form builder, database schema, and a sentiment analysis pipeline that scores every text response. The route includes a dashboard with trend charts, keyword extraction, and a priority queue for negative feedback. You deploy to a live URL and get an embeddable widget for your product or website. Companies using automated sentiment analysis on feedback respond to negative experiences 3x faster than those reading responses manually. This route gives you that capability without a dev team The route also covers data privacy basics, showing you how to structure your collection form so it meets GDPR requirements without needing a legal team.
Last updated: April 2026
The Problem and the Fix
Without a route
- Your feedback lives in 5 different places: email, Slack, surveys, app reviews, and support tickets
- Reading 200+ open-ended responses per month takes hours and you still miss recurring themes
- Off-the-shelf feedback tools cost $50-$200/month and don't do sentiment analysis at lower tiers
With aidowith.me
- Ship a feedback tool with forms, sentiment scoring, and dashboards in about 4 hours
- Auto-score every text response and surface negative feedback immediately in a priority queue
- Deploy a live tool with an embeddable widget you can add to any product or website
Who Builds This With AI
Founders
Move fast on pitches, pages, research. AI as your first hire.
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Define your feedback model
Specify what you're collecting: NPS, open-text, feature requests, bugs. AI generates the form structure and database schema.
Build sentiment analysis and dashboard
AI creates a pipeline that scores every text response for sentiment, extracts keywords, and displays trends in a visual dashboard.
Deploy and embed
Push your tool to a live URL, generate an embeddable widget, and set up alerts for negative feedback that needs immediate attention.
Build Your Feedback Tool Now
Follow a route to create a feedback collection app with sentiment analysis in one session.
Start This Route →What You Walk Away With
Define your feedback model
Build sentiment analysis and dashboard
Deploy and embed
Deploy a live tool with an embeddable widget you can add to any product or website
"Built our own feedback tool in an afternoon. The sentiment scoring catches angry customers before they churn."- Product Manager, SaaS Startup
Questions
Automatic sentiment analysis, keyword extraction, trend dashboards, and priority alerts for negative feedback. Google Forms collects data. This tool analyzes it in real time and tells you what needs attention. You also get an embeddable widget instead of sending people to a separate form link.
Basic familiarity with web tools helps, but the route walks you through each step with AI generating the code. You copy, paste, and customize. If you've ever edited a website template or used a no-code tool, you have enough background to complete the route.
AI reads each text response and scores it as positive, neutral, or negative. It also extracts the top keywords and phrases from each category. Negative responses go into a priority queue with an alert. You can set thresholds, like flagging anything scored below a 3 out of 10.