Human Behavior: Turning UX Videos Into Metrics That Matter
In the ever-evolving landscape of SaaS startups and product-led growth, data reigns supreme. Yet, even as companies pile up terabytes of user session replays, they struggle to extract actionable insights from them. That’s the friction point Human Behavior was born to address. Founded in 2025 by Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya, Human Behavior emerged from the X25 batch as a forward-thinking startup based in San Francisco. Their mission is deceptively simple: to reveal why users stay, leave, or pay. But the way they do it is nothing short of revolutionary.
The trio behind Human Behavior recognized a bottleneck in how product teams utilize session replay tools. While replays offer a wealth of behavioral data, watching hundreds—or thousands—of videos manually is both impractical and inefficient. Product managers are left with vague impressions and guesswork instead of solid, measurable insights. Human Behavior steps in with vision models and artificial intelligence that analyze these replays automatically, turning chaotic footage into clear, structured data. The result? Product teams get the answers they need without hours of screen time.
What Makes Human Behavior Different?
Unlike traditional analytics platforms that rely on pre-defined events or manual tagging, Human Behavior applies cutting-edge AI to decode user intent. Their product watches every session so the humans behind the scenes don’t have to. From the moment a session is recorded, their AI begins analyzing, labeling, and categorizing behaviors. Whether a user hovers indecisively over a pricing button, hesitates before abandoning their cart, or quickly navigates to the upgrade page but never completes the journey—Human Behavior captures it all.
This is not just about automation. It’s about understanding why a user behaves the way they do. The AI detects patterns, recognizes anomalies, and even interprets intent. These capabilities are then translated into features that empower product teams with tools they've never had before: semantic search, behavioral KPIs, and meaningful insights without hours of video watching.
How Does Human Behavior Work?
Human Behavior has built its platform around a clean, three-step workflow designed to plug into existing tools with minimal friction:
- Connect Your Session Replay Tool
Human Behavior integrates seamlessly with widely-used tools like PostHog, LogRocket, and Hotjar. No code changes are necessary, making onboarding swift and painless. This low-lift integration strategy is particularly appealing for high-growth startups that need results fast. - AI Watches and Analyzes
Once connected, their AI starts analyzing session data immediately. With smart behavior labeling, pattern recognition, anomaly detection, and user intent understanding, every pixel of the user journey is examined. Unlike traditional platforms where teams define what’s worth tracking, Human Behavior’s AI surfaces insights on its own. - Search, Filter, and Measure
After processing, teams can use natural language to search for specific behaviors across sessions. Want to find users who clicked "Upgrade" but didn’t convert? Or those who lingered on the pricing page for over two minutes? A simple search query brings up exactly the right data. Even better, these searches come with conversion rates and session counts, turning anecdotal evidence into solid metrics.
Who Are the Founders Behind the Vision?
The founding team of Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya brings together a rich blend of technical prowess and product intuition. While their individual backgrounds remain low-profile for now, their collaborative vision is laser-focused: eliminate guesswork in product decision-making by translating session replays into human-understandable behavior patterns.
Their approach isn't about just adding another layer of analytics. It's about rethinking how teams interact with user data. Rather than simply showing what users did, Human Behavior strives to explain why they did it, and what that means for a product's growth.
What Problems Does Human Behavior Solve for Product Teams?
Every product manager has experienced the black hole of session replays. Hours spent combing through footage yield only scattered insights. Even when teams spot a recurring behavior, quantifying it is a different beast entirely.
Human Behavior solves this by transforming qualitative user behavior into quantitative metrics. Instead of vaguely noting that “some users hesitate at checkout,” teams can now say, “26% of users who clicked upgrade didn’t convert, and 12 specific sessions match this behavior.” This precision enables data-backed decisions that were previously out of reach.
For startups like Delve (W24) and Context, which already use Human Behavior, the benefits are clear: better retention, clearer customer understanding, and more confident product decisions.
Why Is This Important for High-Growth Startups?
In early-stage, high-growth environments, speed and insight are critical. Startups need to iterate fast and understand what’s working (and what’s not) without wasting time. Human Behavior fits naturally into this rhythm by offering immediate, AI-driven clarity into user actions.
By removing the noise from raw data, they allow teams to focus on outcomes. What used to take days of manual video watching can now be distilled into measurable behavioral KPIs. This is a game-changer for startups scaling quickly and trying to stay ahead of user needs.
What Makes the Product Experience Stand Out?
From a user experience standpoint, Human Behavior delivers value in both subtle and profound ways. The interface is designed to help teams ask natural questions and get instant answers. For instance, a team member might ask:
“Show me sessions where users started checkout but didn’t finish.”
The system responds not with generic analytics dashboards, but with a curated list of relevant sessions and performance metrics.
This semantic search capability—powered by natural language processing—makes the tool accessible to non-technical stakeholders too. Designers, marketers, and founders can all interact with Human Behavior without needing to learn SQL or event tracking logic.
Where Is Human Behavior Heading?
Still in its early stages, Human Behavior is actively growing. The team of three founders is currently small but agile, a structure that allows them to move quickly and respond to customer needs with precision. Their client base is expanding, and interest from other YC startups and product-led companies continues to grow.
Their roadmap likely includes deeper integrations, more advanced AI labeling, and broader applicability across industries beyond tech. But even today, the product is mature enough to offer real, tangible benefits to companies of all sizes.
What Does the Future of Behavioral Analytics Look Like?
If Human Behavior is any indication, the future of behavioral analytics is searchable, automated, and deeply insightful. Gone are the days when product teams made decisions based on intuition or anecdotal user stories. The new standard will be behavior-driven product development—where every change, feature, or pivot is backed by data extracted straight from how users actually interact with the product.
By giving meaning to session replays, Human Behavior is redefining what product teams can expect from their analytics tools. It’s not just about watching users—it’s about understanding them. And that understanding is the key to building products people love, pay for, and come back to.
Human Behavior is not just another analytics tool; it’s a product intuition engine. It transforms video into insight, guesswork into evidence, and assumptions into knowledge. For fast-moving teams that want to know why users behave the way they do—without drowning in session footage—Human Behavior offers the clearest lens yet.