Docs, tooltips, product tours. Users still churn.

Product tours average 20 to 30% completion. The rest of your users click "skip" without reading a single tooltip. Your help center gets traffic, but session recordings show users scanning for 10 seconds, then closing the tab. Your onboarding checklist has a 40% completion rate, which sounds decent until you realize that means 60% of users never finished the basics.

You've invested months building self-serve resources. Each one solves a piece of the problem. None of them solve the actual problem, which is this: users learn best when someone shows them, interactively, on their own screen. Not when they read about it. Not when a tooltip points at a button. Not when a video shows someone else's account.

The gap between reading instructions and having someone walk you through it is the gap between a user who churns and a user who activates. Self-serve tools try to bridge that gap with content. They can't. The medium is wrong.

Hyper is an AI onboarding agent for SaaS that does 1-on-1 screen-sharing calls with users, seeing their screen, controlling their browser, and guiding them via real-time voice. It doesn't replace your docs. It replaces the gap between your docs and a live walkthrough.

Most users who churn from self-serve products don't churn because the product is bad. They churn because they hit one confusing step, looked around for 30 seconds, didn't find immediate help, and decided it wasn't worth the effort. They were 90% of the way to becoming a paying user. They just needed someone to walk them through that last 10%.

Hyper deploys as a split test. You run it alongside your existing self-serve stack and compare: activation rates, time-to-value, and retention for the Hyper-assisted cohort versus the self-serve-only cohort. The data shows you exactly how many users your self-serve stack was losing and how many Hyper recovered.