Akeel JabberInvestment Director, Horizen Capital · Investor, Entrepreneur and Petroleum Engineer

How AI is saving hours of review time🚀

17 Apr 2026 · 1 min

Watch on YouTube

1:05

In this presentation, the speaker explains how Sprig leverages large language models (LLMs) to process a massive collection of over 6,000 session‑replay video clips. The AI analyzes the footage, automatically identifies 18 distinct user‑behavior themes, and generates concise summaries for each theme. Product teams can then review a small, representative subset of clips—typically 5‑20 per theme—to grasp the overall insights in just 10‑20 minutes, cutting what would otherwise be many hours of manual viewing down to a fraction of the time. The speaker emphasizes that this AI‑driven workflow empowers product teams to quickly and deeply understand user experience, positioning Sprig as a leader in the UX research category.

Chapters

And so you, we had a customer collect over 6,000 session replay clips. And you can imagine the time, I won't even try to do the math, how long it would take to watch all those. But with, we figured out with, with these large language models, how to analyze and review all of those clips and say, out of all these 6,000 clips, here are the 18 themes from the user behavior that we've identified. And we're going to summarize each of these themes for you. And so maybe you're interested in a particular theme. You watch 10 to 20 clips of that theme, or maybe you want to watch 5 to 10 clips from each theme, and all of a sudden you can quickly understand the broad levels of all of those 6,000 clips in just 10 to 20 minutes. And so we're taking something of hours and hours of data— Yeah. —and time that's required to 10, 15, 20 minutes to understand all those clips very quickly. And so it's exciting to see how AI is really empowering product teams to deeply understand that user experience and Sprig as the leader in the category.