← Solutions · Product leaders owning strategy across multiple teams

Your roadmap, ranked by the revenue behind it

You run product strategy across multiple teams, but your prioritization still comes down to whoever shouted loudest last sprint. AIOProductOS puts the revenue, feedback, and customer record behind every item on your roadmap — so you rank work by impact, not opinion.

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Sound familiar?

What slows heads of product & vp product down today

  • ✗You're choosing between feature requests blind. Feedback sits in Canny or Productboard, revenue lives in Stripe, and the task list is in Linear or Jira. Nobody joined them. You're ranking a roadmap without knowing which accounts asked for what, or what those accounts pay.

    →The spine joins every feedback item to the customer account and its Stripe revenue automatically. Open any feature request and see the accounts behind it, their plan tier, and the total ARR at stake. Revenue-weighted prioritization is built in — RICE, WSJF, Value-Effort, MoSCoW — all scoring over real demand and real dollars, not guesses.

  • ✗Your teams run different methodologies and there's no single view of what's actually in flight. One team uses Scrum, another uses Shape Up, and the exec asks for a Gantt. You spend Monday morning translating between three tools just to answer 'what's shipping this quarter?'

    →Methodology-aware boards let each team configure Scrum (sprints, burndown, velocity), Shape Up (hill charts), Waterfall (Gantt), Kanban (WIP limits, flow), or Lean experiment boards (hypothesis to verdict) — per product, not per tool. You get a single rollup across all of them without asking anyone to change how they work.

  • ✗OKRs disconnect from the work the moment you set them. Key results are updated by hand, if at all. By the end of the quarter you can't tell whether the team shipped what moved the metric or just shipped a lot of things.

    →Goals and OKRs on the spine mirror live to the Reporting module — MRR, ARR, activations, paying customers with sparklines. Assign a key result to a spine metric and it updates automatically. The link between the roadmap item and the key result it's supposed to move is visible, not theoretical.

  • ✗Meeting time is a strategic tax. Standups, discovery calls, and stakeholder syncs all produce action items that die in someone's notes. You push for a decision in a meeting and three days later nothing has moved.

    →Meetings are transcribed and the AI drafts action items as tasks directly on the board, attributed to the right product. AIOInsights (⌘I from anywhere) lets you query your own records — open accounts, feedback trends, in-flight work — without pinging anyone. Decisions have a paper trail; follow-through is automatic.

Built for the way you work

What heads of product & vp product get on the spine

  • Revenue-weighted prioritization

    Every feature request on the Insights feed is linked to the customer accounts that asked for it and the ARR those accounts represent. Scoring frameworks — RICE, ICE, WSJF, Value-Effort, MoSCoW, Kano — run over real demand and real revenue, not estimated values. For a Head of Product, this is the difference between a roadmap that's defensible and one that's a guess.

  • Account 360 — the customer record

    Stripe subscription and MRR, all feedback, meetings, contacts, and connector-imported engineering work (GitHub, Linear) live on one customer page. When a customer asks 'what are you building for us?', the answer is one click away — not a cross-tool investigation. Tasks can be assigned to an account and carry their plan and revenue context everywhere they go.

  • Methodology-morphing boards

    Each product gets its own board methodology: Scrum with sprints and burndown, Shape Up with hill charts, Waterfall with Gantt, Kanban with WIP limits, or Lean experiment boards with hypothesis tracking. Switching is configuration, not a tool migration. A VP of Product overseeing three teams running different methods finally has a single surface.

  • AIOInsights copilot

    Open with ⌘I from anywhere in the product. AIOInsights answers questions grounded in your own records — which accounts are requesting a feature, what your MRR looks like by segment, what's blocked in the current sprint — with citations. For deterministic queries (revenue counts, request tallies, sprint velocity), the answer is computed directly from the database — no model call, no hallucination risk. For synthesis questions, a model runs over your records and shows its sources. You control what data the copilot can see through your role permissions.

  • Reporting & OKRs

    MRR, ARR, paying customers, users, downloads, and activations with sparklines and milestone celebrations. Key results can be set to mirror automatically from spine metrics, so OKR progress is live, not a Friday-afternoon spreadsheet update. The link between what the team ships and whether the metric moved is explicit and auditable.

The payoff

What changes for you.

  • ✓Roadmap decisions backed by ARR data, not volume of requests or seniority of the requester
  • ✓Every team's in-flight work visible in one place regardless of whether they run Scrum, Shape Up, Kanban, or experiments
  • ✓OKRs that update automatically from real product and revenue metrics — no manual reporting cycle
  • ✓Meeting-generated action items land on the board within minutes, attributed and owned, without a follow-up Slack

FAQ

AIOProductOS for heads of product & vp product

We already have Productboard for feedback and Linear for tasks. What does AIOProductOS actually replace?
AIOProductOS connects what those tools keep separate. Productboard holds feedback; Linear holds tasks; neither knows what the requesting accounts pay. The spine joins all three — feedback, tasks, and Stripe revenue — onto the same record, so you can score a feature by the ARR behind it without a spreadsheet join. Teams that find that join valuable often consolidate onto the spine; teams that don't want to migrate can import work from Linear and Jira and still get the revenue context layer.

How does revenue-weighted prioritization actually work — do I have to score everything manually?
No. When you connect Stripe (or Paddle, Chargebee, or any of the 10 billing connectors), every customer account gets its subscription and MRR data on the spine automatically. Feature requests from the Insights feed are linked to accounts by email domain match. Scoring frameworks like RICE and WSJF pre-populate the revenue and demand fields from those joins. You review the scores and override where you have context; you don't enter the numbers from scratch.

We have multiple teams with different ways of working. Can each team use a different methodology?
Yes — methodology is configured per product, not globally. One product can run Scrum with two-week sprints and a burndown chart while another runs Shape Up with six-week cycles and hill charts, and a third tracks experiments with hypothesis-to-verdict boards. All of them live on the same spine, so you see a unified view across teams without standardizing how each team works.

What does AIOInsights actually know? Is it just a chat interface over my data?
AIOInsights (⌘I from anywhere) is grounded in your own records on the spine — open accounts, feedback, tasks, meetings, revenue. It answers questions with citations to the underlying data. For deterministic queries (revenue counts, request tallies, sprint velocity), the answer is computed directly from the database — no model call, no hallucination risk. For synthesis questions (summarize feedback on a theme, what did this account ask for in the last quarter), a model runs over your records and shows its sources. You control what data the copilot can see through your role permissions.

Also built for

A Head of Product who can rank the roadmap by the ARR behind each request — and show the OKR it moves — makes better calls and defends them faster.

Connect Stripe and GitHub in minutes and see the join on your real data. Flat plans from $199/mo, every module included; connectors included, no per-connector fee. Every plan starts with a 14-day onboarding runway on your own data.

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