Use case · ProductBuilding has become easy. Knowing what to build has not.
With AI, the team ships faster and receives more requests than it will ever handle. The real question is now what to build, for whom, and why. We link every request to the customer who voiced it, the contract, the sales promise and what was already tried, without changing your tools, and we work with your team to build the agents that triage, scope and prioritize based on facts.
Five questions your team asks every week.
The ticket says what to do. For whom, why, what it is worth, what was promised and what was already tried are spread across the CRM, support, Slack, meetings and a few people. Here is what changes with a memory that links them.
| Today | With the company memory | |
|---|---|---|
| Why does this feature exist, and who asked for it? | The ticket has no context. The customer's request is in a sales rep's email, the decision in a meeting with no notes. | The ticket, the customer who asked for it, the meeting where it was decided and the release that delivered it, linked. |
| Have we already tried this approach? | Nobody remembers precisely, or the person who knows has left the team. | The attempt, why it was dropped and the architecture decision that followed, time-stamped and sourced. |
| What should we build first this quarter, and why? | The roadmap is decided by the loudest voice in the last meeting. Feedback sits in Intercom, in Slack and in sales meeting notes, never counted together. | Every request linked to the customers waiting for it, what they are worth to the business, the promises made and the support cost of its absence: a decision based on facts. |
| What did we promise this customer on the roadmap? | In a sales rep's email, meeting notes or a support conversation the product team never saw. | Every promise linked to the customer, the person who made it, its date and the ticket it is tied to. |
| Which customers were waiting for this feature, so we can tell them it shipped? | Nobody remembers who asked. The release goes out in release notes customers do not read. | The customers who asked, the conversations where they asked, and the message to send them, ready for support and sales. |
The product team's tools.
We replace nothing. The tools your team already uses feed the memory continuously, within each person's access rights.
Linear
Jira- Productboard
Notion
Intercom
Zendesk
HubSpot
Salesforce
Confluence
Google Drive- Figma
Slack
Microsoft Teams
Google Meet
Zoom
- Amplitude
- Mixpanel
- PostHog
Is one of your tools missing from this list? We connect it during deployment.
What changes for the product team.
Prioritize based on facts, not on the loudest voice.
For each request, the team sees who is waiting for it, what those customers are worth to the business, what they were promised, what its absence costs support and what was already tried. The roadmap discussion rests on those facts, and the engineering team builds what matters.
Customer feedback linked to the product, and counted.
Every piece of feedback is matched to the ticket or feature it concerns, and the memory updates itself: no more feedback spreadsheet to maintain by hand, no more request forgotten in a Slack thread.
A release that reaches the customer who was waiting for it.
Every shipped feature is traced back to the customers who asked for it and the promises it fulfills. Support and sales know what to say and to whom, and the product team stops answering "it's on the roadmap" ten times over.
Your product processes, as they actually happen.
Before building anything, our interview agents talk to every member of the team and map the real process, not the one in the wiki: the steps, the tools, who decides, and where it gets stuck.
From customer feedback to shipped feature.
Where feedback arrives, who triages it, how a request becomes a ticket, what prioritization is actually based on, who scopes, who decides, how delivery is announced to the customer who was waiting. The process as the team actually runs it.
The promise, from the sales meeting to delivery.
What sales and support promise customers, how it reaches the product team (or not), how it gets prioritized, and how the customer learns it shipped. Including the commitments nobody wrote down.
The friction points.
A roadmap decided without knowing how many customers are waiting for each request, the same request scoped twice, the decision made in Slack and lost, the promise made in a sales meeting discovered at renewal time, the customer never told their feature shipped: that is where the first agents get built.
The agents we build with your team.
No off-the-shelf agents. Each one is designed with your product team, for a specific need, on top of a memory where all the data is already linked. Four examples among many others.
Feedback triage
The feedback is matched to the existing feature or product ticket, attached to the customer and their context, and counted with similar requests. Feedback that matches no known request is flagged.
Who stays in control. The product manager prioritizes. Nothing is promised to the customer by the agent.
Prioritization brief
For each pending request: the customers who voiced it and what they are worth to the business, the promises made by sales, the support tickets it generates, past attempts and technical dependencies. One brief per initiative, comparable with the others, so that decisions rest on facts.
Who stays in control. Product leadership decides. The agent documents, it does not do the ranking for them.
Scoping brief
The original request, the customers who voiced it, support conversations, past decisions on the topic, the constraints raised by engineering, abandoned attempts: gathered into a brief the product manager completes instead of writing from scratch.
Who stays in control. The product manager decides. The agent prepares, it does not decide.
Release announcement and roadmap answers
The agent finds the customers who were waiting for the feature and the promises it keeps, prepares the message for each one and the standard answer for support and sales. Between releases, it answers their questions on what is planned, with the source.
Who stays in control. The product manager approves what is announced. Nothing is sent to customers by the agent.
These four agents are only a sample. Once the team's data is linked, an agent can be built for every task that deserves one: customer interview prep and synthesis of what they said, a review of what real usage says about a feature, monitoring what competitors announce, a quarterly roadmap review (promised, shipped, dropped and why). Tell us what takes up your team's time, and we will build the agent for it.
The questions each role asks.
Each role puts these questions to the memory through the AI your teams already use, or to your agents. Every answer cites its sources.
Product Manager
Makes roadmap decisions based on facts and scopes from the full context, without reopening five tools.
- What should we build first, and based on what facts?
- Which customers asked for this feature, and what exactly did they say?
- Why did we drop this approach last year?
- What did we promise this customer on the roadmap?
- Which customer feedback this month matches no existing ticket?
Head of Product
Decides where to invest and keeps promises without waiting for the team to pull it all together.
- Which pending requests have the most customers behind them, and which have none?
- Which promises made to customers are not on the roadmap?
- What did we ship this quarter, for whom, and what did we drop, and why?
- Which customers up for renewal are waiting for an unplanned feature?
- Which product decision last month contradicts what we said in the steering committee?
Product Designer
Designs from what customers actually said, not from what someone remembers them saying.
- What did customers say, word for word, about this flow?
- Which customer interviews covered this topic, and with what conclusions?
- Which solutions have we already tested on this problem, and why were they dropped?
- Which support tickets keep coming up about this screen?
- What does real usage show about this feature since it shipped?
Start with product. The same memory then serves the others.
The Company Brain is not a product management tool: it is the company's memory. The requests, decisions and feedback linked for the product team also serve engineering, support, the sales reps answering roadmap questions, and leadership deciding where to invest. Start with one area, measure the result, then decide whether to expand.
Frequently asked questions
The questions product teams ask before getting started. If yours is not here, ask us directly.
No. It documents each request, the customers behind it, the promises and past attempts, and makes initiatives comparable. The decision stays with product leadership, who decide based on facts rather than the loudest voice.
No. Linear, Jira, Productboard or Notion remain the system of record, where your team keeps entering data. The memory links what they contain to customer feedback, the CRM and meetings; it does not replace them.
No, it is the most common situation. The memory matches it up wherever it lives (support, CRM, Slack, meeting notes), and our interview agents reconstruct with the team how requests actually flow. The feedback spreadsheet becomes an outcome, not a prerequisite.
They become visible. Each promise is linked to the customer, the person who made it and its date. The product team sees them before renewal, not after, and can keep them or reset expectations with full knowledge of the facts.
Most often one product, with feedback triage and the prioritization brief: the next roadmap is decided based on facts, and the benefit is measurable from the first decision. We measure, then we expand.
Let's talk about your product team.
Thirty minutes: your tools, your process, and the first agent that would give your team time back.