Onboarding guides that update when your analytics tool does

The specific moment: a mid-level marketer was trained on their analytics tool six months ago, the tool pushed a UI update two weeks back, and now the step-by-step guide their team wrote in Notion is wrong — the menu moved, the button is renamed, the screenshot shows a layout that no longer exists. They spend 15 minutes trying to reconcile the old instructions with the new interface before abandoning the guide entirely and asking the one person on the team who knows where everything lives.

This gap exists because the people who write internal documentation — usually a senior analyst or a marketing ops person — have no automated way to detect when the underlying tool's interface changes. They write something once, it drifts, and they only find out it's broken when a confused colleague asks them about it. The analytics vendor has no stake in keeping third-party documentation accurate. This is a coordination problem that falls in the gap between the tool vendor and the internal team.

What the complaints point to specifically: 'I feel like I constantly get updates and cannot find where things are' and 'perhaps the instructions could be more clear on how to input data sometimes' — these aren't complaints about the software being bad, they're complaints about the gap between how the software works and how people were taught it works. The documentation is always behind.

This is a recurring business because analytics tools update on a schedule, teams turn over, and internal knowledge is constantly at risk of expiring. A company that solves this doesn't just sell an onboarding document — it sells a guarantee that the document stays accurate, which means the buyer renews as long as they use the underlying tool.

What to build

Build a tool that monitors recorded screen walkthroughs of analytics workflows and automatically flags when a UI element (button label, menu path, page layout) no longer matches what the guide shows, then prompts the guide owner to update the specific broken step — integrated with Loom or Scribe for capture.

Where to start

Start with teams that already use Scribe or Loom to document their analytics workflows — they have the capture problem half-solved and will immediately understand the value of drift detection without needing to change their existing documentation habit.

The hard part

Detecting meaningful UI changes programmatically — distinguishing a cosmetic color update from a renamed menu item that breaks a documented workflow — requires either constant screenshotting and diffing or close integration with tools like Scribe that already capture step-level screenshots, and getting that integration right for multiple analytics tools is non-trivial.

How it makes money

Flat monthly fee per team (not per seat) based on the number of monitored guides, starting around $150–300/month for teams with up to 50 live workflow guides.