🚀 Preview Site — Launching April 1, 2026

How It Works

Listen. Decide.
Build.

Your customers are already telling you what to build. MindBacklog captures every signal from 6 channel types, scores features with real evidence, and ships the right roadmap — not the loudest opinion.

01
Stage One

Listen

4 Active + 3 Passive. One AI Pipeline.

Customer feedback lives in 10 places. None of them talk to each other. App Store reviews, support emails, feedback forms, competitor websites — all scattered. Nobody's connecting the dots.

MindBacklog captures all of it. 4 active collection channels — feedback widget, customer web forms, public portal, email inboxes. 2 passive listening channels — App Store reviews (Apple + Google Play), web scraper. Reddit monitoring coming soon. Every signal runs through a 4-phase AI pipeline: Enrich → Validate → Classify → Route. Intent, urgency, sentiment, and smart tags — assigned automatically.

What You Do
  • Connect sources (one-time setup)
  • Embed the feedback widget (1 line of JS)
  • Set your product URL or upload docs
What MindBacklog Does
  • Monitors all 6 live channel types continuously
  • 4-phase AI pipeline on every signal
  • Classifies intent, urgency, sentiment, themes
  • Auto-routes to matched features as evidence
Listen — Connected Sources
🍎
Apple App Store
142 reviews synced
● Live
▶️
Google Play Store
89 reviews synced
● Live
🔴
Reddit r/yourproduct
Coming soon
◌ Soon
support@yourcompany.com
34 requests received
↻ Syncing
📋
Public Feedback Form
mindbacklog.com/feedback/abc
● Live
📱
Feedback Widget
In-app embed • 28 submissions
● Live
🔍
Competitor: Rival.io
App reviews + website scraped
↻ Watching
Total signals collected 332
02
Stage Two

Decide

Radar → Ideas → Roadmap. Evidence Wins.

The loudest voice in the room decides the roadmap. Not the most important signal. Without evidence, prioritization is politics. The CEO’s pet feature beats the feature 200 users are requesting. MindBacklog ends that.

Three buckets. That’s it. Signals land in Radar for triage. AI clusters duplicate feedback, scores features using WSJF and RICE — grounded in linked customer signals, not gut estimates — and surfaces winners in Ideas. When evidence is strong enough, features graduate to the Roadmap with Gantt timelines and team assignments. Signal count per feature influences score weighting. Evidence replaces politics.

What You Do
  • Triage signals in Radar
  • Review AI-scored features in Ideas
  • Promote evidence-backed features to Roadmap
What MindBacklog Does
  • Clusters duplicate / related feedback
  • Scores with WSJF & RICE (evidence-based)
  • Ranks features by real customer signal count
  • Links every score back to source evidence
Decide — Signal → Feature
Radar — Raw Signals
APP"search is so slow"
WIDGET"can't filter users properly"
EMAIL"wish I could search better"
PLAY"finding people is impossible"
FORM"need advanced search filters"
Ideas — AI-Scored Feature
Advanced User Search & Filters
5 sources clustered
3 source types
Confidence: 94%
Priority Scoring
Revenue Impact
9/10
Business Value
8.5
Effort
Med
Risk
Low
WSJF Score
8.2
03
Stage Three

Build

23 AI Tools · One Conversation · Your Entire Backlog

AI generates the artifacts so PMs focus on decisions, not documents. PRDs written from your product context + linked customer signals. User stories with acceptance criteria. Problem statements, business value summaries, acceptance criteria — generated in seconds, grounded in evidence.

Ask Mind is not a chatbot. It’s a product management co-pilot. 23 specialized tools — 12 read-only, 11 mutation — all via natural language. Query signals, create features, write PRDs, reprioritize your backlog, assign owners and teams, schedule dates. Every answer grounded in your actual product data. All mutations require confirmation — safety first. For small teams who don’t need Jira, the built-in Tracker manages stories and bugs with a Kanban board (Draft → Ready → In Progress → QA → Done).

What You Do
  • Tell Ask Mind what you need in plain English
  • Confirm mutations before they execute
  • Track stories & bugs in Tracker
What MindBacklog Does
  • Generates PRDs from context + linked signals
  • Writes user stories + acceptance criteria
  • 23-tool co-pilot: query, create, reprioritize
  • Kanban Tracker: Draft → QA → Done
Build — Ask Mind Co-Pilot
👤
Generate a PRD for Advanced Search and create user stories with acceptance criteria.
M
✦ PRD Generated
Advanced Search & Filters — based on 5 linked signals from 3 channel types. Problem statement, user personas, and acceptance criteria included.
✦ 3 User Stories Created
1. “As a user, I want keyword search across all records”
2. “As a user, I want to filter by date range and status”
3. “As an admin, I want saved search presets”
Confirm: attach PRD + 3 stories to Advanced Search?
CONFIRM
CANCEL
Key Differentiator

Watch Your
Competitors

Built-In Competitive Intelligence

You check on competitors once a quarter. They ship features every week. Most PM tools ignore your competitive landscape entirely. MindBacklog monitors it continuously.

Track competitor app reviews on Apple App Store and Google Play — see what their users love and hate. Scrape competitor websites for changelogs, feature pages, and positioning shifts. Every competitive signal runs through the same AI pipeline with a market_signal lens. Ask Mind can answer: “What are competitors shipping?” or “What do competitor users complain about?”

What You Do
  • Add competitor App Store URLs
  • Add competitor website URLs
  • Ask Mind competitive questions
What MindBacklog Does
  • Scrapes competitor reviews continuously
  • Crawls competitor websites for changes
  • AI-classifies with market_signal lens
  • Surfaces competitive gaps & opportunities
Listen — Competitor Monitoring
🔍
Rival.io — App Store
Apple + Google Play • 284 reviews
• Live
🌐
Rival.io — Website
Changelog + feature pages scraped
↺ Watching
🔍
Compete.co — App Store
Google Play • 156 reviews
• Live
Ask Mind
“What are Rival.io users complaining about in the last 30 days?”
✦ 42 negative reviews analyzed. Top complaints: slow onboarding (18), missing export (12), pricing concerns (8). 3 overlap with your feature requests.

The Intelligence Layer

MIND Gets Smarter.
Every Day.

Behind every stage is MIND — a persistent product intelligence engine. Not a generic AI wrapper. A context layer that knows your product.

Feed MIND with product docs, competitor pages, and strategy memos. It synthesizes a Master Summary and Product DNA — a distilled definition of what your product is and does. This context is injected into every AI action: signal classification, feature scoring, Ask Mind answers, PRD generation. Define Objectives and Ask Mind correlates them with real customer evidence.

Day 1: upload your docs. Week 2: MIND recognizes your feedback patterns and user segments. Month 2: it predicts feature impact and writes context-rich specs automatically. The more you feed it, the sharper every AI decision gets. No other PM tool has this.

Getting Started

Live in 10 Minutes

No implementation project. No consultants. No "let's schedule onboarding for next quarter."

Create Your Product

Enter your product URL or upload docs. MindBacklog reads your site, documentation, and vision to build initial context.

~ 2 minutes
Connect Sources

Link your App Store, Google Play, email alias, and custom feedback forms. One-click connections — no engineering needed.

~ 5 minutes
Answer Clarifiers

MIND asks 3–4 questions about your product strategy, target users, and priorities. This seeds the intelligence layer.

~ 2 minutes
Start Building

Feedback starts flowing. Features start clustering. Your roadmap starts reflecting reality instead of assumptions.

~ 1 minute

Integrations

Connects to Where Your
Feedback Already Lives

Ingest from your sources. Execute in your dev tools.

🍎 Apple App Store
▶️ Google Play Store
🔴 Reddit SOON
📧 Email
📋 Web Forms
📱 Feedback Widget
🌐 Customer Portal
🔍 Web Scraper
🔷 Jira
🔶 Azure DevOps
💬 Slack
💻 Teams
🎧 Intercom
🎫 Zendesk

Ready to See It
in Action?

14-day free trial. No credit card required. Founding members get exclusive discounted pricing.

Start Free Trial → Explore Features →

Questions? hello@mindbacklog.com