Audyr
Open SiteAudyr is an AI-powered feedback management tool that embeds a conversational widget in your product to capture user feedback naturally through chat. It automatically groups duplicate requests, analyzes sentiment, and delivers product teams a ranked priority list of what to build next — so you stop guessing and start shipping what users actually want.
Added on April 11, 2026
Product Information
What is Audyr?
Audyr is a product feedback intelligence platform built for SaaS teams who are overwhelmed by scattered user input from support tickets, surveys, and chat messages. It works by embedding a lightweight conversational AI widget directly into your web app — instead of boring feedback forms, users just chat naturally about what they need. The AI collects, deduplicates, and groups similar requests automatically, so a feature requested by 200 users in different ways surfaces as one clear signal. Audyr then generates a ranked action list each day, showing which improvements would have the highest user impact. It integrates with tools like Intercom, Typeform, Linear, Jira, Slack, and Notion to push insights directly into your existing workflow.
How to use Audyr?
- Add one line of script to your web app to embed the Audyr conversational feedback widget — no configuration required.
- Users interact naturally with the widget by typing what they want improved; the AI guides them through the conversation.
- Audyr automatically clusters duplicate and similar requests so identical feedback from many users appears as one consolidated insight.
- Review your Audyr dashboard to see a prioritized list of feature requests ranked by demand, sentiment, and revenue impact.
- Push top-priority actions directly to Linear, Jira, or Slack via native integrations to start building without context-switching.
Core Features
- Conversational Feedback Widget — A one-line embed that replaces static forms with an AI-guided chat experience for collecting user feedback.
- Automatic Duplicate Merging — AI groups semantically similar requests together so users asking the same thing appears as one strong signal.
- Prioritized Action List — Generates a daily ranked list of what to build next, based on request volume, sentiment, and user attributes.
- Sentiment & Churn Detection — Analyzes emotional tone and flags requests that signal dissatisfaction or churn risk before it's too late.
- User Attribute Tracking — Links feedback to user segments (plan, role, revenue) so you know who is asking for what and act accordingly.
- Native Integrations — Connects with Intercom, Typeform, Linear, Jira, Slack, and Notion to fit directly into your existing product workflow.
- Daily Digest Reports — Sends a morning summary of top requests, emerging frustrations, and churn signals so your team starts each day focused.
Use Cases
- Feature Prioritization — Product managers using Audyr to replace weekly user interviews with continuous, always-on feedback collection and auto-prioritized roadmaps.
- Churn Prevention — SaaS teams identifying at-risk users early by detecting negative sentiment in feedback before they cancel.
- Sprint Planning — Engineering teams pulling top-voted feedback items directly into Jira or Linear tickets to eliminate the "what do we build?" debate.
- Customer Satisfaction Research — Startups replacing static NPS surveys with conversational widgets that capture richer, more actionable context.
- Feedback Consolidation — Companies aggregating feedback from multiple sources (support tickets, surveys, live chat) into one unified, prioritized dashboard.