Category
Technology
Built by
Beam.ai
Guide new users through Userflow flows, read completion data, and revise targeting, automating onboarding work on approved segments.
Onboarding Flow Targeting
Userflow shows product tours, checklists, and surveys to users at the right moment. A Beam agent reads user attributes and events, then assigns people to the flows your rules define, writing segment membership so each user sees relevant guidance. When a user's data is incomplete or a rule could place them in two conflicting flows, the agent pauses and asks a person to decide. Every assignment is logged, so onboarding reaches the correct audiences and product managers only weigh in on the ambiguous cases rather than sorting users by hand each week.
Checklist Completion Tracking
Userflow records how far each user gets through onboarding checklists and tours. A Beam agent reads completion data and, on your rules, nudges stalled users, marks finished steps, and writes progress to their profile for other tools to use. Users stuck at the same step in unusual numbers are flagged to a product manager as a possible design problem. The agent keeps activation status current and notes each action, so teams see real onboarding health while a human investigates the patterns that suggest something in the flow needs a change.
Product Survey Responses
Userflow collects survey and feedback answers inside the product. A Beam agent reads new responses, sorts them by your rules, and writes structured results where the team reviews them, alerting owners when scores drop below a set mark. Written answers that signal a complaint or churn risk are routed to a person for a direct reply. The agent tallies sentiment over time and records each handoff, so product teams act on clear feedback while humans handle the responses that need judgment and a human voice.







