Userpilot

Your AI agent is having thousands of conversations - but do you know if users are actually getting what they need? Or where they’re walking away frustrated? Agent Analytics gives you a full view of the user-agent relationship: what users are asking, where the agent fails them, and whether those interactions are driving retention - or quietly working against it. Available now 👉 https://lnkd.in/dWzR3YGx

It feels like everyone is launching an AI agent these days, because nearly everyone is. Some of them are really amazing, others are terrible. Honestly, lots of them are amazing but FEEL terrible. That’s an increasingly common story because shockingly few product teams have the tools to actually see how their agents are getting used and where they’re breaking. Sure, the developers can precisely track latency, token usage, all the technical metrics in the world. 📊 🧑🔬 But product, CS, marketers? Crickets. They’re dealing with a total black box. ⬛ Leadership wants to hear about how that agent they just invested heavily in is affecting their metrics but nobody has any idea. What kind of questions are people asking the agent? 🤷 What actions are people taking before or after they talk to our agent? 🤷 When are our agents failing our users? 🤷 Is our agent having any effect on retention, satisfaction, or any of our KPIs? 🤷 Userpilot Agent Analytics lets you answer these questions and many more so you can start doing two key things: - Show your agent was worth the investment. - Get the data you need to improve that agent’s performance. So whether you’ve got an agent in the pipeline or launched one months ago, it’s time you actually learned what’s really happening in that black box: https://shorturl.at/ICsgz

If you were choosing today, would you still pick the same analytics tool? Especially knowing what you know now about the cost, the work involved, and what your team actually uses. It’s easy for “we’ll compare options before renewal” to become an annual tradition. I get it. It’s not like anyone’s putting “switch analytics platforms” on their vision board. So… we’re making the comparison a little easier. On October 22, we’re walking through Userpilot vs. Pendo: pricing, ease of use, support, and what switching actually involves. You’ll see an onboarding flow built live, how to measure whether it’s working, and what our team handles during migration. Bring your questions. Especially the ones about time, cost, and who's doing the migration work. October 22nd @11 AM Eastern - Register here: https://lnkd.in/eBm4hsv8 Come take a look. Book a comparison call after and we will send over a 250 gift card as a 'thanks' for your time. #product #productmanager #productmanagement #pendont #productadoption #analyticstool #onboarding

You shipped an AI agent. Now prove it’s worth. See who uses it, what users ask it, where it fails, and whether it keeps them coming back.

Is the AI agent you launched actually working? The latency is low. The token usage is right. But are your customers getting any value from it? We asked ourselves the same question after launching Lia to beta. Most of our numbers told us the agent was running. Very few told us whether it was helping anyone. You want to know. Your CEO, CMO, and CTO definitely want to know. So we built Agent Analytics. It’s for Product and CS teams who need to see what users are asking their agent, where it’s letting them down, what they were doing right before they asked, and whether it’s moving retention and satisfaction at all. That gets you an answer to “was this worth the investment?” The bigger win is what comes next. You can use that data to make real improvements to both your product and the agent itself. Like all features and products, an agent you can’t measure is guesswork. So let's measure it! We’re walking through Agent Analytics live in our upcoming webinar, with time for your questions at the end. 📆 Tuseday, October 20th, 4:00 PM CET (10:00 AM EST) 👉 Book your place: https://shorturl.at/hIpca

I wrote a post laying out where we’re taking Userpilot and the thinking behind it. Shipping software is getting easier. Getting people to use it isn’t. We’re building the agentic product adoption platform: it understands how people use your product, identifies what’s holding them back, and prepares improvements your team can approve and measure. Read the full post here: https://lnkd.in/gMvvpGQc