Resolve questions where they happen—inside your product

Give users contextual, AI-powered in-app support that reduces tickets, improves resolution time, and scales without adding headcount.

Support shouldn’t start in the inbox

When users leave your product to search documentation or open tickets, friction compounds.

External help centers disconnected from context

Manual answers to repeat questions

The result? Slower resolution. Higher support load. Frustrated users.

Userflow brings support directly into the product—where questions actually happen.

Resource Center interface showing two completed items with check marks, labeled by users John and Betty, including their profile images.
Chat interface with a user photo above a text input field saying 'Tell us what you’re trying to do' and a dropdown menu titled Resource Center showing options Guided tours and Knowledge base, with a cursor pointing at Guided tours and a pet photo with the name Rocky.
Bar chart showing upload progress with user Emma, annotations highlight views are 50% below normal and missing element errors sharply increased.

Where AI adds leverage

AI doesn't replace your support team. It amplifies it.

Answer instantly

Answers common questions instantly.

Guide users

Recommends relevant walkthroughs.

Highlight confusion

Highlights recurring confusion across users.

Human-controlled

Everything stays transparent, editable, and human-controlled, so your team stays in charge.

Proven impact from contextual support

Young woman with curly hair and glasses lying on a couch using a laptop with wireless earphones.
Danish Refai
Product Manager

“Userflow enables us to share valuable user behavior insights with our customer success and support teams, empowering them to make smarter, proactive decisions. It’s given our teams the tools to anticipate needs and address issues before they even arise.”

Built for teams scaling support

Customer Success

Identify recurring confusion

Surface declining usage patterns
Deploy contextual help before escalation
Support global users with AI assistance
Two women laughing together, one wearing a white sweater and the other wearing a blue beanie and glasses, with a chat interface overlay showing AI assistant text input and contact icons on a blue background.

Product

Design clearer workflows with visibility into in-app support friction.

See where users get stuck
Improve guidance before tickets spike
Reduce support dependency over time
Two people smiling and looking at a laptop screen with a dialog box showing options and a button labeled 'Let's get started', alongside a graphic showing ROI growth at 135%.