Guide AI

The platform's AI observes user behavior within the product and serves the most relevant guidance at the moment it's needed showing feature explanations when a user encounters a section for the first time, offering help when unusual navigation patterns suggest confusion, and celebrating completions of key actions that indicate successful adoption of core features.

This adaptive guidance reduces the time-to-value for new users while requiring significantly less engineering maintenance than traditional hardcoded onboarding tours.

Guide AI's no-code guidance editor allows product and customer success teams to create, test, and update onboarding flows without engineering involvement making it practical to iterate on user guidance based on observed behavior and support ticket patterns without waiting for development sprints.

A/B testing capabilities enable teams to compare different guidance approaches and identify which onboarding flows produce the best activation and feature adoption outcomes for different user segments.

Segmentation rules allow different guidance flows to be shown to users based on their plan tier, role, industry, or progress stage, ensuring that enterprise users, SMB teams, and individual users each receive guidance appropriate to their context.

The platform's analytics layer tracks activation rates, feature discovery, onboarding completion, and the correlation between specific guidance interactions and long-term retention providing product teams with the data to understand which parts of the onboarding experience are working and where users are dropping off or disengaging.

Integration with product analytics platforms including Mixpanel, Amplitude, and Segment connects guidance data to the broader user behavior picture.