PMind learns your product, remembers every decision you make, and tells you whether your bets actually paid off — so discovery, specs, and prioritization run on your real track record, not vibes.
PMind: Your mobile bets calibrate well — 3 for 3 within 20%. Your pricing bets don't — consider raising confidence thresholds before committing.
Illustrative month-6 state · Your track record grows every time you ship
Every AI tool forgets you by morning. You re-paste your constraints, re-explain your users, re-derive the same context — every session.
But the deeper problem isn't memory of context. It's that no PM tool remembers your decisions — or ever tells you if they were right.
PMind is built to close that gap.
Set your audience, constraints, and north-star metric once in your Product Brain. Every spec, story, and answer is generated against your actual strategy — not a generic template.
Always-on contextToggle between product profiles to see how Product Brain transforms generic output into strategy-grounded specs.
Drop in interviews, tickets, and NPS. PMind doesn't just summarize this week's batch — it recognizes the same pain across months as one growing signal. You see what's recurring and accelerating, not a fresh pile of quotes each time.
Quarter-over-quarter signal trackingCommit an opportunity and PMind logs it as a tracked bet: the rationale, the evidence behind it, your predicted impact, and a revisit date. Ask "why did we build this?" six months later — even after the PM who decided has left — and the answer is right there.
Why did we build this? — answered foreverOn the revisit date, PMind surfaces the feature and asks what actually happened. Record the actual metric and it scores the bet — right, directionally right, or miss. Over time you build a private track record of which calls land.
That record compounds. Your next decision is grounded in your own history, not optimism.
No competitor can honestly claim thisEvery signal, every decision, every outcome — that accumulated memory is the product. It's also why PMind gets sharper the longer you use it, and why a fresh chat session never can.
You don't need months of data to get value. The loop opens the moment you start.
Yes — your decisions and outcomes build your private track record. It's never used to train public models, and workspaces are walled per user.
It's exportable and yours. That honesty is also the switching-cost moat — your track record doesn't live anywhere else.
On each revisit date, PMind asks what actually happened. You enter the actual metric (or link your analytics), it scores the bet, and updates your calibration record.
OAuth to your Jira instance. PMind can list boards, search by JQL, and push epics, stories, and acceptance criteria in native Jira format.
No — and the tell is memory. A wrapper can't remember your last six months of decisions or tell you which ones worked. That loop is the product.
Start building a workspace that remembers.