
better than anyone in the world





Human Behavior auto instruments event listeners on your entire product. No code changes required.
Our AI analyzes session recordings to capture every nook and cranny of how users interact with your product.
We index every page, component, and user flow. Over time, this builds a living map that evolves with your product.
Our AI uses autonomous browser agents to navigate, test, and validate user flows in your live product — experiencing it just like a real user would.
Connect your databases, CRMs, error tracking, and analytics tools. Human Behavior pulls context from PostHog, Sentry, HubSpot, Attio, Intercom, and more.
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to help you improve your product





Simplified onboarding flow
New/onboarding
Users drop off at step 3 — reduce fields and add progress indicator
Checkout CTA redesign
New/checkout
Low click-through on mobile — increase contrast and button size
Dashboard empty state
Viewed/dashboard
New users stall on empty dashboard — add guided actions
Pricing comparison layout
New/pricing
Users compare plans 4.2x on average — make differences clearer
Settings navigation update
Applied/settings
Users can't find billing — restructure sidebar navigation
Mobile nav drawer
New/navigation
62% of rage clicks happen on mobile nav — simplify menu structure
Name | Cohort | Briefing | ||
|---|---|---|---|---|
1 | Sarah Chen San Francisco | Power Users | Heavy feature user. Accessed API docs 12 times this week. | - |
2 | Mike Johnson London | Trial | Onboarding incomplete. Stuck at team invite step. | - |
3 | Emma Wilson Toronto | Enterprise | High engagement. Created 8 projects this month. | - |
4 | Alex Rivera Austin | + Add | New signup 2 days ago. Monitor for activation. | - |
5 | Jordan Lee Sydney | At Risk | Activity declining. Last login 5 days ago after daily usage. | - |
6 | Priya Sharma Mumbai | Weekly Active | Consistent weekly user. Primarily uses mobile app. | - |
7 | David Kim Seoul | Enterprise, Power Users | Admin user. Manages team of 12. High feature adoption. | - |
8 | Lisa Zhang Shanghai | Trial | Exploring premium features. Good upgrade candidate. | - |
9 | Carlos Martinez Mexico City | + Add | Recent signup from referral. Completed onboarding quickly. | - |
10 | Anna Kowalski Warsaw | Weekly Active | Regular user. Prefers mobile notifications. | - |
Checkout completion rates dropped 12% week-over-week, primarily affecting mobile users on iOS. The root cause traces to a payment form validation change deployed on March 10th that introduced stricter regex matching for card number fields.
Users who encounter the validation error retry an average of 2.3 times before abandoning. Desktop users are largely unaffected due to different form rendering behavior in the checkout flow.
Checkout Completion Rate (%)
iOS Safari shows the steepest decline at 18% drop, followed by Chrome for Android at 9%. Desktop browsers remain within normal variance bounds. The validation change affects how mobile keyboards interact with the card input masking.
Based on similar rollbacks, we estimate completion rates should recover to baseline within 48 hours of the fix being deployed. Continued monitoring is recommended for the following week to confirm the trend stabilizes.
By observing how people actually use your product, Human Behavior designs targeted UI/UX improvements for every page where users struggle—automatically and continuously.
We find your most important user journeys and analyze them to find success patterns, key dropoff points, distractions, and cycles.
Understand the points of friction within user journeys. Human Behavior continuously monitors every session to detect bugs, rage clicks, and blockers—automatically grouped by root cause.
Understand how different cohorts interact with your journeys. Every user gets an auto-generated briefing, and cohort membership updates automatically based on behavior patterns.
Deep-dive analyses with embedded charts, revision tracking, and actionable insights—written from an understanding of your product and users.
so you don't have to





Close the development loop. Launch coding agents that analyze friction, open pull requests with fixes, and track progress — with full context of how people actually use your product.
Get notified instantly when tracked cohorts hit bugs, complete key workflows, or exhibit unusual behavior patterns.
AI identifies the right users and drafts personalized emails — whether for win-back campaigns, support outreach, or expansion opportunities.
Automatically file issues in Linear, update Notion pages, and create Jira tickets — complete with session evidence and reproduction steps.
Agents automatically spawn specialized subagents that run on schedules and event triggers — continuously monitoring for emerging friction, validating hypotheses, and surfacing findings.
Cursor Agent
Cursor Agent5 users from Acme Corp encountered payment processing failures in the last 10 minutes
Weekly trend analysis detected significant improvement in user onboarding
New milestone reached for your tracked workflow
Hi Sarah, We just shipped some big updates to Reports including one-click PDF exports. Would you be open to a quick call to see what's new? Best, Alex
Her team used to view Reports 3x/week on average. She also has an unresolved support ticket about PDF exports — which we just fixed.
Hi Sarah, We just shipped some big updates to Reports including one-click PDF exports. Would you be open to a quick call to see what's new? Best, Alex
Her team used to view Reports 3x/week. She has an unresolved support ticket about PDF exports — which we just fixed.
Users hitting null reference error in checkout handler when paymentMethod is undefined. Affects ~12% of checkout attempts.
FRX-142Users hitting null reference error in checkout handler when paymentMethod is undefined.
FRX-143
Report3 agents continuously monitoring your product
Continuously monitors checkout payment errors and retry patterns
Watches for emerging cart abandonment patterns in real time
Audits mobile-specific friction and surfaces weekly reports
Continuously monitoring your product

Tom Zheng
Founder, Clado (YC)

~1/3 of all features shipped on Clado since launch was because of Human Behavior. Literally saves us 100s of hours watching through replays & identifying pain-points.

Tage Kene-Okafor
Reporter, TechCrunch

Human Behavior's customers - mostly fast-moving Series A and B startups - get daily summary emails highlighting which features were used, which bugs appeared, & which users churned.

Rishi Srihari
CEO, Opennote (YC)

HB caught something insane - users hitting slow video processing during peak hours were churning 6x more than anyone else.
No analytics tool could ever connect those dots. We shifted server resources and retention fixed. This insight literally saved our product.
Now we monitor every launch with HB because it finds the stuff that actually breaks user experience.

Nicolas Lecomte
Founder, Blaxel (YC)
So bullish on Human Behavior!
They are absolutely crushing it and a textbook example of how to build a great product around AI automation that LITERALLY gives you hours back.

Karl Kallasmaa
Founder, Attensira

What makes them special:
1) Found critical bugs I never would have discovered (like nil pointer exceptions causing white screens on specific search queries)
2) World-class support - Dedicated Slack channel, founders on speed dial.
If you're using PostHog screen recordings but spending hours analyzing instead of talking to users, Human Behavior is a game-changer.
Your time as a founder should be spent building & talking to users, not watching endless recordings.
Worth every penny.

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