Feature · Listen

6 Channels.
One Pipeline.

You're spending every Monday morning collecting feedback from 10 different platforms before you can even think about what to build. Active collection + passive listening. Feedback widget, app reviews, email inboxes, web forms, public portal, web scraper. Reddit monitoring coming soon. Every signal runs through a 4-phase AI pipeline. Nothing falls through the cracks.

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The Challenge

Feedback Is Everywhere.
Clarity Is Nowhere.

Product managers spend 40% of their week just collecting and organizing user feedback. MindBacklog does it in seconds.

❌ Without MindBacklog

△ Manually checking app stores, emails, support tools — daily
△ Copy-pasting feedback into spreadsheets with no structure
△ Missing critical signals because they're scattered across 10+ tools
△ No way to distinguish feature requests from bugs from churn risk
△ Zero visibility into what competitors' users are saying

✦ With MindBacklog

→ 6 channel types feed into one unified AI pipeline
→ AI classifies intent: feature request, bug, complaint, praise, question, churn risk
→ Sentiment, urgency, and smart tags extracted from every signal
→ Vector-matches signals to existing features on your roadmap automatically
→ Monitor competitor reviews alongside your own — same pipeline

Multi-Source Ingestion

Every Channel.
One Pipeline.

Connect your feedback sources once. MindBacklog pulls, processes, and structures every new signal automatically.

Active collection — your users tell you directly

📦

Feedback Widget

Embeddable JS button. One-line embed. User identification via identify API.

📋

Web Forms

Auto-generated public URLs for feature requests or internal stakeholder feedback.

🌐

Public Portal

Customer-facing feature request page. Browse existing requests, submit new ones.

📨

Email Inboxes

Unique inbound email addresses. IMAP polling. 6 source categories. Auto-classified.

Passive listening — hear them where they already talk

🍎

App Store Reviews

Apple App Store + Google Play. Your product and competitor apps. Scheduled scraping.

🔍

Web Scraper

Headless browser crawling. Competitor websites, changelogs, forums. Scheduled.

💬

Reddit Feeds (Coming Soon)

Monitor subreddits by topic: your product, competitors, or target market. Keyword filtering.

Coming soon

🔔

Slack

Capture feedback shared in Slack channels

⚡

Zapier

Connect 5,000+ apps to your feedback pipeline

🔌

API Access

Push signals from custom sources via REST API

AI Classification Pipeline

From Raw Noise
to Structured Signals

Every piece of feedback goes through a multi-step AI pipeline that extracts maximum value.

Enrichment

AI enriches the raw signal — generates a summary, extracts metadata, and creates vector embeddings for semantic search. Nothing is lost.

The Bouncer

Quality gate. Validates signal relevance and filters spam/noise. Decides if the signal should continue through the pipeline or get dismissed.

The Sorter

Classifies intent (feature request, bug report, complaint, praise, question, churn risk), urgency, sentiment, impacted area, and smart tags. Vector-matches to existing features.

Inbox Attach

Routes signals to matched features as evidence. Unmatched signals land in Radar → Signals for review. Your team approves, merges, and promotes signals to Ideas.

The Transformation

Before & After

What changes when AI handles your feedback pipeline.

Before MindBacklog

✕ 4+ hours/week manually collecting feedback
✕ Feedback scattered across 8+ tools
✕ No sentiment or urgency tracking
✕ Critical signals missed for days or weeks
✕ Manual spreadsheet categorization
✕ No connection between feedback and roadmap

→

After MindBacklog

✦ Feedback collected automatically, 24/7
✦ One unified pipeline for all sources
✦ AI sentiment + urgency on every signal
✦ Real-time alerts for critical feedback
✦ AI classification in under 30 seconds
✦ Signals auto-linked to roadmap items

6 Channels.One Pipeline.

Feedback Is Everywhere.Clarity Is Nowhere.