One embed. Session replay, AI-qualified feedback, console data, frustration detection, deep analysis, and CI/CD pipeline — from bug report to production fix without human intervention.
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<!-- One line. That's it. --> <script src="https://feedbackloop.ai/widget.js" data-api-key="your-key"></script>
The Problem
Teams juggle disconnected tools, waste hours triaging, and still miss the context that matters.
Session replay in one tool. Feedback in another. Bug reports in a third. Nothing connects.
"It doesn't work." No steps, no context, no way to reproduce. Your team wastes time asking for details.
Users report bugs but you can't see what they saw. Console errors, network failures, DOM state — all invisible.
Every report needs manual categorization, prioritization, and routing. It's slow and error-prone.
The Synergy
Three data streams converge into one fully-contextualized, actionable item. Each stream is useful alone — together, they're transformative.
See exactly what the user did. Every click, scroll, navigation, and hesitation — recorded and replayable.
AI asks the right follow-up questions, categorizes, extracts reproduction steps, and assigns priority automatically.
JavaScript errors, failed API calls, and browser warnings captured alongside every session.
A fully-contextualized report with user intent, visual proof, technical root cause, and AI-suggested priority — ready to act on.
Autonomous Detection
Most bugs go unreported. FeedbackLoop detects frustration patterns and JavaScript errors automatically — zero user action needed.
3+ clicks on the same element within 1 second? That's frustration. Detected and flagged automatically with a 0-100 score.
User clicks but nothing happens. No DOM mutation within 2 seconds — a broken button, a missing link, a UX failure.
3+ scroll direction reversals in 2 seconds. The user is lost, confused, or can't find what they're looking for.
JavaScript errors and unhandled exceptions are automatically captured and submitted as pre-qualified bug tickets — zero clicks from the user.
Deep AI Analysis
After the AI qualifies feedback, a second deep analysis pass automatically runs — extracting root causes, suggesting fixes, and generating executive reports.
{
"rootCause": "Race condition in checkout API",
"confidence": 0.87,
"severity": "critical",
"component": "payment-service",
"suggestedFix": "Add mutex lock on cart state",
"complexity": "low",
"priority": "P0"
}
AI identifies the probable root cause with a confidence score. Not just symptoms — the actual bug.
Suggested fix approach and estimated complexity (low/medium/high). Your team knows the effort before starting.
For frustrated sessions: a full narrative of what the user tried, what went wrong, whether they succeeded or abandoned.
AI-generated aggregate reports across all sessions: top frustration pages, severity trends, prioritized action items.
Strategic Alignment
Feedback analyzed against your OKRs, vision, and product strategy. The AI even generates your strategic framework for you.
Each piece of feedback is scored against your defined objectives. See which reports move the needle.
AI compares incoming requests to your product vision. Spot misalignment before it becomes debt.
AI scrapes your website and docs, then generates your values, vision, mission, OKRs, and metrics automatically. Refine from there.
Your documentation is scraped and injected as context. The AI gives product-specific answers, not generic ones. Supports HTML and Swagger/OpenAPI.
How It Works
Embed once, then let the system work while you sleep. No configuration dashboards. No alert fatigue.
Add a single <script> tag to your site. Session replay, feedback widget, and console capture activate automatically.
AI asks follow-up questions, categorizes feedback, links replay sessions, runs deep analysis, and assigns priority — all in real-time, 24/7.
Review pre-qualified reports with root cause, fix direction, and replay. Accept to trigger CI/CD — or discard in seconds.
The Full Pipeline
An enforced state machine drives every item from submission to production. At each stage, the right automation fires — Linear issues, CI/CD webhooks, test environments.
Widget captures feedback with full session context
→Categorize, prioritize, deep analysis, root cause
→Auto-created with priority, labels, replay, fix direction
→Webhook triggers your pipeline to implement the fix
→Test environment deployed, ready for validation
→You approve. Fix is deployed to production
The pipeline enforces valid transitions — no step can be skipped. Every state change is logged. Items can be reopened at any stage.
Feature Lifecycle
Discard features, reintegrate them, track their lifecycle from user request to production.
Every feature request is captured, deduplicated, and enriched with user context and session data.
Not aligned with your strategy? Discard features with a reason. They're archived, not lost — and the user knows.
Strategy changed? Bring discarded features back with full history intact. Nothing is ever truly lost.
Privacy & Security
Granular privacy controls, automatic bot filtering, IP anonymization, and per-element masking — built in, not bolted on.
Add data-hl-mask to mask text with asterisks, data-hl-block to block recording entirely, or data-hl-ignore to exclude elements. Passwords masked by default.
Three-layer filtering: user-agent matching (20+ bot patterns), reverse DNS lookup (50+ datacenter hostnames), and ASN checks (AWS, GCP, Azure, Cloudflare, OVH).
Last octet of IPv4 addresses is zeroed. Country-level geolocation retained for analytics without compromising user identity.
Per-tenant language setting. The AI qualifies feedback, asks follow-ups, and generates analysis in your users' language.
Analytics & Insights
Widget funnel analytics, full-text search across all feedback, AI cost transparency, and data export.
Track every step: widget loaded → opened → category selected → chat started → qualification done. See drop-off rates and conversion by category.
Search across titles, descriptions, AI summaries, full chat transcripts, and user fields. Find any feedback in seconds with context snippets.
Every AI call tracked: model, tokens, USD cost, success/failure. View usage by tenant, by day, by session. Full cost control.
Export up to 5,000 feedback items with full AI analysis, transcripts, priorities, and metadata. Bulk export by selection.
Country-level geolocation via local MaxMind DB (no external API). Filter sessions by country. Privacy-safe with anonymized IPs.
Rotate API keys and secrets for any tenant at any time. New credentials generated instantly.
Try It Live
The widget at the bottom-right of this page is real. Report a bug, request a feature, or just say hello — the AI will respond.
Click the chat bubble in the bottom-right corner. Try reporting a bug on this landing page, or request a feature you'd like to see. The AI will qualify your feedback in real-time, and your session replay is being recorded right now.
Join the waitlist for early access. Be among the first to experience the full autonomous pipeline.
By joining, you agree to be contacted for early access. We store your email and IP address.