For product teams
Polaris for product teams
Look at a product manager's calendar and subtract the meetings. What is left is mostly reformatting.
The short answer
Product managers spend much of the week converting work from one format into another: interviews into themes, feedback into tickets, tickets into release notes, a roadmap into three different presentations of itself. Polaris lets that translation layer be assigned to AI workers, who deliver it as comments and files on the task, while the prioritisation decisions stay with the person who closes the task.
The job nobody writes in the job description
Product management is sold as prioritisation and judgement, and a small part of the week genuinely is. The rest is translation. Nineteen user interviews become four themes. Four themes become a prioritisation argument. The argument becomes a roadmap. The roadmap becomes a version for engineering, a version for the leadership review and a version for the customer-facing team. What shipped becomes release notes, then a changelog entry, then a slide.
None of that is low-value, which is why it never gets cut. It is also not where a product manager's specific judgement lives, and every hour of it is an hour not spent with a customer or with the engineers building the thing. That is the tax, and it is the largest recoverable block in the role.
Four translations worth delegating
Each one is a task with a clear input, a clear output and an acceptance criterion the worker can tick.
Interviews into themes
Raw research is unread research. A worker produces a first synthesis with the quotes attached, which turns the argument from what do we think people said into a document people can disagree with.
Feedback into candidate tickets
Support conversations, sales notes and Slack complaints arrive in the Inbox as prefilled suggestions with bucket, lane, labels and owner already set. One click makes a real task; nothing gets created silently.
Shipped work into release notes
A draft assembled from the workstream rather than reconstructed on the afternoon of the release, when the details have already gone.
The market into a standing competitive picture
Competitor tracking that continues past the first month, running as a scheduled task with live web search and sources attached.
From a research round to a prioritised backlog
The judgement steps are the short ones. That is the point.
- 1
Put the round in a workstream
Interviews, notes and recordings in a bucket with lanes shared between list and board view. Docs are nested with a block editor, versioned files, review and comments, so the raw material and the conclusions live in the same place.
- 2
Assign the synthesis
A worker produces themes with supporting quotes, ticking its acceptance criteria as it goes and posting progress. This is the four-hour job that a product manager usually does at the end of a fragmented week.
- 3
Argue with the draft
You read a document you did not write, which is a better starting position for a prioritisation discussion than a blank page and your own recall of interview eleven.
- 4
Decide, and close the task
The machine never marks a task done. You close and rate it, so the prioritisation call and the record of who made it stay with a named person.
Where a product manager's week goes
Before
- Synthesis attempted in the gaps between meetings
- Feedback triaged from four tools by copy and paste
- Release notes written from memory on release day
- Competitive tracking abandoned in month two
With the translation layer assigned
- A themed synthesis waiting, with quotes attached
- Suggestions in one Inbox, each one click from being a task
- A release note draft ready to correct
- A standing competitive task that keeps running
Next, for a product team
The product use cases in detail, and the roles that carry the translation layer.
Product management with an AI worker on the roster
Five jobs a product team can hand to an AI teammate, and the ones it should never hand over.
Twelve interviews recorded, two of them read
Themes with participant counts and verbatim quotes, plus a flag wherever the evidence is thin.
You shipped twenty-three things and announced four
A draft built from what actually merged, plus a list of the changes nobody described.
A competitor changed their pricing and you found out in a sales call
A weekly diff of public competitor pages, reporting only what changed since last time.
Hire an AI competitive analyst
Assign it every Monday and you get a written record of what your market did last week, with a URL behind every line of it.
Questions people ask
+Does this replace Linear or Jira for the engineering team?
It can, because Polaris has tasks, lanes and board and list views, but it does not have to. Linear, Jira-adjacent workflows and GitHub are questions of migration cost, and Linear and GitHub are both in the connection catalog. Plenty of product teams will run the research and synthesis side in Polaris while engineering stays where it is.
+How good is research synthesis from an AI worker, honestly?
Good enough to argue with, not good enough to accept. Treat it as a first pass with the quotes attached, produced by a worker briefed through a skill file you wrote. The value is that a themed draft exists on Monday instead of on the following Thursday, not that the themes are correct.
+What stops the Inbox becoming another backlog nobody reads?
Suggestions are never created as tasks silently. Each one arrives with the bucket, lane, labels and owner prefilled and requires one click to become real, so the Inbox is a decision queue rather than a second list that accumulates. If you ignore it, it does not quietly fill your board with tickets.
+Can a worker be given access to our customer feedback tools?
Partly. The connection catalog covers Slack, Notion, Linear, GitHub, Gmail, Google Calendar, Google Drive, Figma, HubSpot, Stripe, Supabase, WhatsApp, Instagram and open web research. If your feedback lives in a dedicated product-feedback tool, it is not in the catalog today and you would bring that material in manually.
+Where does the Focus lane fit for a PM?
Focus is the home screen and it is time-based rather than project-based: today, this week, the next thirty days, pinned first in every view. For a product manager running four workstreams at once, that horizon view is closer to how the job is actually experienced than a per-project board is.
Related
Polaris for software teams
Nobody joined your team to write the release notes. Something still has to write them.
Polaris for design studios
Nobody has ever put a line item for asset renaming on an invoice, and every studio pays for it anyway.
Product management with an AI worker on the roster
Five jobs a product team can hand to an AI teammate, and the ones it should never hand over.
Twelve interviews recorded, two of them read
Themes with participant counts and verbatim quotes, plus a flag wherever the evidence is thin.
Sixty requests, and no idea how many people asked
Clustered requests with a real count of who asked, so the argument is about value rather than recall.
You shipped twenty-three things and announced four
A draft built from what actually merged, plus a list of the changes nobody described.
Hire an AI competitive analyst
Assign it every Monday and you get a written record of what your market did last week, with a URL behind every line of it.
Hire an AI project coordinator
The unglamorous half of running projects, done every week without anyone having to be the person who nags.