Onboard / Activate
Co-browsing guided takeover
Some setups can't be talked through — the customer is lost three menus deep, and the fastest way out is to ask "mind if I show you?" and do the first one together.
What it does
There is a kind of stuck that no amount of explaining fixes. The customer is mid-setup — building a first filter, configuring a workspace, finding a buried setting — and every "tap the gear icon, then…" makes it worse because they cannot see what you see. Walls of instructions are where onboarding and complex setup quietly fail, and the customer either gives up or opens a ticket. With the customer's explicit approval, the agent takes the wheel of their own session and demonstrates the step live, narrating as it goes, then hands control straight back so the customer does the next one themselves. Showing beats telling at exactly the moment telling has stopped working.
How it works
- 1Trigger. an in-session signal that the customer is stuck on a multi-step setup — repeated failed attempts at the same screen, a help question that maps to a known hard flow, an explicit "can you just do it for me?".
- 2Decision. the agent confirms this flow is on the safe, approved co-browsing list (read-only or low-risk configuration, never anything money-moving), checks what the customer has already tried from memory, and asks for explicit consent to take over before touching anything.
- 3Action. with consent granted, the agent drives the customer's own session — moving to the right screen, completing the first instance of the step while narrating each move in chat — then returns control and invites the customer to repeat it.
- 4Follow-through. the takeover ends the moment the demo is done or the customer revokes consent; what the agent showed is written to memory so the next session skips the part they now know; the session is logged for audit.
Configuration
How the agent is wired for this use case.
setup_stuck in-session signal (repeated failed attempts on a known multi-step flow, or an explicit help request) raised in the chat or in-app widget.- In-app co-browsing / session-control surface · request consent, drive the customer's own session within the approved flow, and release control
- Product knowledge base · load the canonical steps for the flow being demonstrated and narrate each action
- Customer memory · read what the customer has already tried; write back which flows were demonstrated
- Messaging channel · run the chat narration alongside the takeover and confirm hand-back
What you need
The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.
Signals
in-session stuck indicators (repeated failed attempts on a hard flow, explicit help requests) tied to the screens where co-browsing is allowed.
Data
the allow-list of flows safe to demonstrate, the canonical steps for each, the customer's progress and prior attempts from memory, consent state.
Guardrails
explicit per-session consent before any takeover and instant hand-back on revocation; a strict allow-list that excludes every money-moving, destructive, or account-sensitive action; full session logging for audit; the customer keeps the ability to stop at any moment.
Metrics it moves
- activation-rateup, by unblocking the multi-step setups where customers otherwise abandon onboarding
- time-to-valuedown, the hardest flow is shown once instead of explained five times
- ticket-deflectionup, a live demonstration resolves the "I can't find it" contact in the conversation
- csatup, because being shown is less frustrating than being told when you're already lost
Related use cases
In-app activation companion
the deep-link-and-nudge onboarding sibling, where the agent guides rather than operates the UI
In-app proactive merchandising block
another in-product surface the agent acts on directly
Operator copilot — human-agent assist
the assisted-resolution sibling for when a human takes the harder flow
See it on your own customer journey
Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.
Book a demo