Platform Features
6 channel types capture every customer signal. AI classifies, scores, and routes. 23-tool co-pilot manages your backlog in natural language. Every decision grounded in real evidence.
6 channel types live — 4 for active collection (widget, forms, portal, email) and 2 for passive listening (app reviews, web scraper). Reddit monitoring coming soon. Every signal runs through the 4-phase AI pipeline: Enrich → Validate → Classify → Route. Stop copy-pasting from 10 platforms — this is one inbox for every customer voice.
Learn more →Embed a feedback button in your product with one line of code. Users submit feedback without leaving your app. Identify API ties submissions to user profiles. Domain-restricted for security.
Learn more →A public-facing feature request page for your customers. They browse existing requests, upvote, and submit new ones — all feeding directly into the AI pipeline. Auto-managed channels, zero maintenance.
Learn more →Monitor competitor app reviews (Apple + Google Play) and scrape their websites. See what they ship and where users complain. Same AI pipeline, competitive intelligence lens. Know what competitors are building before your users tell you.
Learn more →WSJF and RICE scoring grounded in linked customer evidence — not assumptions. AI estimates revenue impact, effort, risk, and business alignment using your product context. Defend every roadmap decision with data, not gut feel.
Learn more →Radar → Ideas → Roadmap. Three buckets that reduce PM fatigue. Features graduate based on evidence scores. Tracker included for teams that want sprint management without Jira complexity.
Learn more →Not a generic chatbot — it has deep memory of your product. Knows your features, signals, roadmap, objectives, and docs. 23 tools: 12 read-only, 11 mutation. Query, create, reprioritize, assign — all in plain English. Write a PRD in 2 minutes, not 2 hours.
Learn more →Upload product docs, competitor pages, strategy memos. MIND synthesizes a master summary and product DNA. Every AI action gets context-aware. Intelligence compounds over months — not days.
Learn more →Generate PRDs, user stories with acceptance criteria, problem statements, and business value summaries — all from product context. Ask Mind handles it, or generate directly from any feature.
Learn more →What Makes It Different
MindBacklog's MIND engine builds persistent product context — from your docs, feedback, and decisions — that sharpens every AI action over time. Day 1: classifications start. Month 2: every output is context-aware.
Explore the MIND Engine →Channels & Integrations
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