Stop re-explaining your constraints to AI that forgets by morning. PMind grounds every spec, user story, and ticket in your actual strategy.
Problem Statement
Current checkout abandon rate is 34% — 14pp above our Q2 target. Exit survey data (n=240) shows primary friction is the 3-step address flow on mobile.
Users expect single-page checkout. Our flow was designed for desktop in 2021.
⌘K anywhere in a document · Product Brain grounded · Real-time streaming
ChatGPT gives you a template.
PMind gives you output that
knows you ship SOC2-compliant B2B SaaS to enterprise procurement teams.
Toggle below to see how a single background constraint dynamically transforms AI outputs from fluffy templates into precise specifications.
From chaotic user feedback to a structured development backlog. PMind handles the heavy lifting so you focus on product decisions.
Drop user interview transcripts, Zendesk tickets, or NPS comments. Tab-aware chunking keeps speaker turns and spreadsheet rows completely whole.
Our background analysis agents automatically harvest verbatim pain-point quotes, tag target personas, and sort findings into theme folders.
The Opportunity specialist clusters insights across themes, scoring and ranking opportunities grounded directly in real customer quotes.
Select committed opportunities, break them into Epics/Stories with acceptance criteria, and export them natively to tracking boards.
Product managers spend over 65% of their week on writing specs, tagging feedback, and building tickets. Let's see how much time PMind saves you.
Equivalent to unlocking 8 full working days every month to focus on strategy and alignment.
No. Standard wrappers send single-shot prompts that hallucinate templated specs. PMind features a multi-agent backend that processes files semantically, builds strategic RICE hierarchies, and forces the model to verify every generation against active strategy constraints.
We take security seriously. All uploads are walled behind strict, enterprise-grade user permission layers. Your strategy context remains private, and is never used to train public LLM models.
PMind authenticates directly with your tracker profiles. We parse epics and stories, automatically mapping descriptive blocks into native formats so developers receive clean, properly formatted requirements.
Yes. PMind features custom Tiptap layout loaders for standard product documents, from simple one-pagers and competitive analysis maps to complete OKR templates.
The workspace that thinks in product.