Feature · Build
You're spending 2 hours writing a PRD from scratch — and it still doesn't reference actual customer feedback. MindBacklog generates PRDs, user stories, and feature fields grounded in real customer evidence and your MIND product context. One click. Every output cites real signals.
What AI Generates
Every artifact is grounded in your actual product data — linked customer signals, MIND's product intelligence, and your feature context. Not generic templates.
AI writes full Product Requirement Documents from feature context + linked customer signals + MIND product intelligence. Every section cites real feedback. Includes problem statement, user personas, requirements, acceptance criteria, and success metrics.
10 AI CreditsAI creates user stories with acceptance criteria, auto-linked to parent features. Stories are derived from feedback patterns and MIND's product context. Supports bulk generation — create multiple stories from a single feature in one click.
2 AI CreditsGenerate individual feature fields on demand — problem statements, business value, acceptance criteria, technical notes. Each field is written using your linked signals and product context, not generic boilerplate.
1 AI Credit per fieldEvery feature gets a vector embedding for semantic matching. When a new signal enters the pipeline, it auto-matches to the most relevant features — building evidence behind each request without manual tagging.
AutomaticOn-Demand Fields
Don't write feature descriptions from scratch. Click a button, and AI fills in each field using your linked signals and MIND context.
What user problem does this feature solve?
Revenue impact, retention, competitive edge
Clear, testable requirements for done
Which customer segments benefit most
KPIs and measurable outcomes
Implementation considerations and constraints
The Transformation
What changes when AI writes your product documents.
Every artifact grounded in real customer evidence. Founding members get exclusive discounted pricing.
MindBacklog