Become a Full-Stack Product Manager with

Sense_

Stop re-explaining your product to every AI chat.

One workspace that already knows your users, your data, and your goals.

Engineers got Cursor. Designers got Figma AI Google Stitch. PMs got... another blank ChatGPT window. We think that's fixable.

the problem

The PM Bottleneck is real_

01

The Context Fragmentation Tax

Open Jira. Copy the ticket details. Switch to Notion. Find the PRD template. Open Mixpanel. Export the funnel chart. Paste into Slack. Ask engineering for the API spec. Wait. This is 40% of your week — not building product, just assembling context.

~40% of week
02

Explain it again from scratch

Every new AI chat starts at zero. Who are your users? What does your product do? What did you ship last quarter? You end up spending more time prompting than just doing the work yourself.

~15 min lost per prompt
03

Unverifiable outputs

Where did that insight come from? Which interview? Which metric? If you can't trace it, you can't put it in front of your VP.

0% source attribution

how it works

Your context, always fresh_Your projects, always grounded_

Data Sources

Sense connects to your existing stack via local MCP integrations. GitHub, Mixpanel, Notion, Jira — no data migration, no CSV exports.

Product Brain

Everything Sense knows about your product lives here — who your users are, what you shipped, what the metrics say. It updates as your tools update.

Project Workspaces

Ask questions, draft specs, run discovery — and every answer cites where it got the information. If it came from an interview transcript, you'll see which one.

Engineering
GitHub, GitLab, Jira
Analytics
Mixpanel, Hotjar, A/B Tests
Knowledge
Notion, Confluence, Docs
Research
Surveys, Interviews, App Store
Product Brain
Technical ContextUser InsightsMarket InsightsBusiness Goals
synced

Goal Setting

Define measurable outcomes grounded in metrics.

Hypothesis Generation

Draft testable bets based on user behavior.

Interview Synthesis

Extract themes and quotes from raw transcripts.

Funnel Analysis

Query funnels and drop-offs to validate.

Feature Specification

Generate complete PRDs ready for engineering.

Prototype Building

Scaffold and test solutions with real users.

Retention Analysis

Identify churn signals in behavioural data.

Exit Survey Synthesis

Synthesize cancellation reasons at scale.

Re-engagement Flows

Design touchpoint sequences for lapsed users.

Notification Strategy

Reduce friction at key drop-off moments.

Win-back Campaign

Recover lapsed users with targeted offers.

Churn Prediction

Model and surface at-risk accounts early.

User Role Mapping

Define permission hierarchies and scopes.

Permission Spec

Document access control rules precisely.

Data Table Design

Specify sortable and filterable tables.

Bulk Actions

Design efficient multi-record operations.

Audit Log

Track and surface all admin events.

Export Feature

CSV and JSON data export flows.

in practice

What this looks like_

01

Discovery

"Show me every complaint about onboarding from the last 90 days." Sense pulls from support tickets, Hotjar recordings, and NPS comments — then clusters them. Three minutes, fully sourced.

02

Validation

You have a hypothesis. Sense cross-references your interview transcripts with behavioral data to tell you whether real users actually hit this problem — and how often.

03

Specification

Point it at a validated problem. Get a PRD draft where every requirement traces back to a user quote, a metric, or a technical constraint your engineers already documented.

04

Intelligence

What changed this week? Sense watches your connected data and flags things: a spike in API errors overlapping with a drop in activation. You decide what matters.

field notes

You're not alone in this_

While our devs are using Cursor to ship at lightspeed, I'm still manually copying data from 6 different systems just to write the specs.

Senior PM · Job Portal

For every ChatGPT prompt, I have to explain from the beginning what this whole thing is. It's often more effort than just doing the work manually.

Product Owner · Travel Tech

I'm not adopting an AI tool for product strategy unless I can trace exactly where it got its information from. Contextual sourcing is non-negotiable.

Head of Product · FinTech

early access

Join the waitlist_

We're onboarding the first cohort of PMs this summer. Early access means you connect your tools, we set up your Product Brain, and you're running real workflows in week one.

one email when it's your turn · nothing else