AI session replay analysis
Analyzes session recordings to understand how users interact with the product and where friction appears.
Human Behavior is an AI-native product analytics platform that watches user sessions and session replays to explain why customers leave, pay, or stay. It helps teams connect behavior signals with analytics, error tracking, CRM, and support data.
Human Behavior is an AI-native product analytics platform that uses session replays to surface behavioral insights about why customers leave, pay, or stay. It combines session analysis, automatic instrumentation, product mapping, and browser agents to build a live understanding of how people use a product.
The product is positioned for teams that want to connect observed user behavior to concrete actions. The site shows it can integrate with existing analytics, CRM, error tracking, and support tools, and it presents outputs such as issues, reports, cohorts, and UI/UX design suggestions based on real usage patterns.
Analyzes session recordings to understand how users interact with the product and where friction appears.
Automatically instruments event listeners across the product without requiring code changes.
Builds a living map of pages, components, and user flows as the product changes over time.
Uses autonomous browser agents to navigate, test, and validate flows in the live product.
Connects with existing data sources such as PostHog, Sentry, HubSpot, Attio, and Intercom to add context to findings.
Surfaces issues, reports, and UI/UX design suggestions from observed behavior so teams can act on them.
Review session replays and behavioral patterns to understand why users abandon key flows such as signup or checkout.
Use auto-instrumentation and browser agents to map how users move through a product without manually defining every event first.
Connect analytics, CRM, and error-tracking systems to add context when investigating bugs, friction, or performance problems.
Turn observed behavior into UI/UX suggestions or reports that highlight pages where users struggle.
Monitor cohorts, issues, and reports to distinguish active, at-risk, trial, or power users and follow changes over time.
It appears to be a product analytics platform that watches user sessions, analyzes replays, and surfaces behavioral insights about why users leave, pay, or stay. The site also says it can connect with existing data sources and external tools.
The homepage says setup takes about 90 seconds, and the pricing page says there is no credit card required for the first project.
The site shows usage-based pricing with a Pay As You Go plan and an Enterprise plan. The Pay As You Go plan includes 8,500 sessions per month, while Enterprise offers custom pricing and volume discounts.
The homepage and pricing page both show use of session replays, product analytics, AI-powered insights, and connected data sources. The pricing page also mentions priority email support on the paid plan and a dedicated Slack channel, custom integrations, SSO, and custom SLAs on Enterprise.