Runwork for Product Teams

Everyone's AI knows a different version of how you work.

One PM's AI writes specs your way. Another's doesn't, because nobody told it. On Runwork what one person teaches their AI becomes what every PM's AI knows, so how your team writes, prioritises and ships stops depending on who happens to be asking.

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The Challenge

Every PM's AI writes specs in a different shape
The prioritisation logic lives in one person's head and one person's chat
Feature requests scattered across Slack, email and support tickets
New PMs rebuild the same research and release-notes routine from scratch
No way to tell which PMs are getting good at this and which are stuck

The Runwork Solution

One spec format and one prioritisation rubric, in every PM's AI
Feedback from support, sales and customers landing where the whole team's AI can read it
Release notes drafted the same way every sprint, by whoever is on duty
Customer and revenue context in one place, so the answer is the same whoever asks
You can see which PMs picked it up and which need a hand

What your team gets

One spec format, in every PM's AI

The way your team writes specs, taught once and used by everyone's AI, so review stops being about formatting.

A feedback pile that sorts itself

Requests arrive from support, sales and customers, get deduped and tagged, and the person who asked hears back without anyone chasing.

Prioritisation that doesn't depend on who's asking

Votes, segment and revenue in one view, scored the way your team agreed rather than the way each PM remembers.

Release notes ready on ship day

Shipped items summarised in customer language, in your format, without a PM losing an afternoon to it.

Adoption numbers you can open mid-meeting

Feature usage by segment, live, so the question of whether anyone is using it has an answer before the call ends.

Research that outlives the researcher

Interview notes and insights kept where every PM's AI can search them and tie them back to roadmap items.

A Day in the Life

9:00 AM: Feedback triage. Fifteen requests came in overnight through the feedback portal. Eight are duplicates and already tagged, three are from enterprise accounts and flagged against your CRM, four are new. The rule that does the tagging is one a PM worked out months ago. It has been running for everyone since, including the two people who joined after her.

10:30 AM: Planning session. Quarterly planning is tomorrow. Your roadmap view shows features by theme, effort and customer impact, scored with the rubric your team agreed on rather than the one each PM remembers. You move items between quarters and your agent flags the conflict: engineering is over-committed by 30% in Q2.

1:00 PM: Customer insight. Sales asks why their must-have feature is not near the top. You pull the numbers: 12 requests, all from trial users who never converted. The other one has 8 requests, all from your top 10 accounts by ARR. The data sits in one place, so the answer is the same whoever asks the question.

3:00 PM: Release prep. Four features shipped this sprint. You ask your agent for the release notes and it already knows your format, your tone and where the changelog lives, because a teammate taught that once and it landed in the team cloud. You read the draft, fix one line, publish.

4:30 PM: Adoption tracking. The feature you launched last month, is anyone using it? Your adoption dashboard shows 34% of eligible users tried it and 8% came back. Enterprise retention is 45%, SMB is 3%. It refreshes on its own overnight, so nobody had to prepare it for this moment.

5:15 PM: Who has it and who doesn't. On the team dashboard you can see your own team the same way you just looked at customers. Three PMs used the spec skill this week. One has not touched it since onboarding. That is a fifteen-minute conversation now, instead of something you notice in a review six months from now.

Frequently Asked Questions

How do we get every PM writing specs the same way?

One PM teaches their own AI the format, the questions it should ask, and what a good spec looks like on your team. That gets saved as a skill in Runwork, and from then on every PM's AI starts from it. Nobody changes tools, and nobody pastes a prompt into Slack again.

Can feedback and revenue data sit in the same place?

Yes. Your CRM and billing connect to Runwork, so requests carry the account behind them. Your team's AI reads the same numbers you do, which means prioritisation stops being an argument about whose anecdote is more recent.

Who writes the release notes when the PM who set this up is on leave?

Whoever is around. The format, the tone and the place it publishes live in the team cloud, not in one person's chat history, so any PM's AI can produce the same thing. The same is true of weekly digests and anything else you put on a schedule: it does not stop when people go home.

Can we see which PMs are actually getting better at this?

Yes, and this is usually the part product leads care about most. The team dashboard shows who is using which skills and automations and who has not started. You find out who needs help while it is still a coaching conversation.

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