Name: The Full Scoop - February 2025 Release Webinar
Uploaded: 2025-02-13T19:46:11.867Z
Duration: 30 min 8 s
Description: The Full Scoop - February 2025 Release Webinar

Transcript for "The Full Scoop - February 2025 Release Webinar": Hello, everyone. Thanks for joining. We're gonna get started in about a minute. We wanna give folks a few more seconds to get settled in. But in the meantime, I just threw a message in the chat. So go ahead and hit us with a heart emoji or an ice cream emoji and say, hey, while we wait for everyone to get settled in. And we're gonna go ahead and get started in about a minute. Hi, everyone. Welcome. Welcome. Welcome to the Full Scoop, your one stop shop for the latest and greatest updates from FullStory. I'm from the digital customer success team, and I'm excited to be your host today. Having been here at FullStory for over two years, I have seen our behavioral data platform evolve with all kinds of game changing features and improvements and this webinar series is here to keep you ahead of the curve with insightful demos and direct insights from our very brilliant product managers. So whether you are looking to save time, gain deeper insights, or just fall in love with your workflows all over again, you are in the right place. So let's dive in and meet the brilliant minds behind these new updates. At FullStory, we're a remote first company, which means we get to work with the best of the best from all over the world. And our product team, well, they're at the heart of what we do here, building innovative, impactful features that make your workflow smoother and your insights sharper. And what better way to fall in love with our latest updates than by hearing directly from the people who helped build them. So today, we're joined by two incredible experts from our product team. First up, we have Kathy Park. Hi, Kathy. Hey, Hi, everyone. Thank you so much for having me. I'm Kathy Park. I'm from the product team. I'm a senior product manager here at FullStory, and I've been here since April of twenty twenty one and based in Boston, Massachusetts. So happy to be here. We're happy to have you. Super excited to chat about the features that you'll be sharing with us today. But first, we have a quick icebreaker question for you, and that is what's one thing, work or non work related, that you've loved working on recently and why? Great question. I think, you know, it actually hits both work and non work, but, I've actually really dived into all things AI lately. I think it's definitely one of those things where, once you get on that boat, it's hard to get off because it's really, really, just makes your life a lot more efficient. Right? So, things like summarizing just notes or even writing some of my to do lists at home. I feel like I'm reaching for it every day, and it's it's kind of like a personal assistant to me. So, honestly, love AI and love just getting to work on it more. You know what? AI really is a game changer, and I love that we're continuing to roll out more features that harness its power. So everyone definitely stay tuned for that because we've got some more really cool features coming out later this year. And speaking of AI, during the last Full Scoop, we covered AI trim. And today, Lucy is back to talk with us about another fantastic release. What's up, Lucy? Hi, y'all. I'm Lucy, senior product manager on the FullStory team. I've been at FullStory for about two and a half years, and I'm currently based in San Francisco, California. So glad to have you back, and I'm super excited to see what you have to show us today. But first, two things. Number one, we have an icebreaker question for you, but also I've gotta say, congratulations on getting married. Lucy just got married y'all. Oh my gosh. We literally love to see it. And when you see love, you've gotta shout it out. Okay. Congratulations, Lucy. And in the spirit of love, your iceberg question is, if you could write a love letter to any feature in full story, which one would it be and why? Yeah. So my love letter would be to data studio, a a feature that my team and I worked on. This was really a feature that helped me, and I think most of our customers, just figure out what the heck we were looking at in full story to know what element or page was being used in analysis. I think 90% of the time, I had really no idea what I was looking at. So having Data Studio, that visual preview, as well as knowing which pages that element appeared on, what text is associated, if any other elements overlap with that element, all really helps me get a better understanding of what my digital property looks like. So, yeah, that's my love letter to Data Studio. I think we all have heart eyes for Data Studio. It is such a game changer and provides so much clarity and it helps make analysis and full story so much smoother and faster. So love that. That's awesome. Thank you, Kathy and Lucy for kicking us off with those icebreaker questions. And now let's dive into today's agenda. Alright. First up, Kathy will cover popular past and journeys and global annotations, and then we'll pass the mic over to Lucy to show us suggested elements. Just a quick reminder here, for each feature, Kathy and Lucy will provide some context and then they'll provide a demo so we can see these features in action. So without further ado, I'll pass it over to Kathy to get us started with popular paths. Awesome. Thanks, Dijanae. So to understand popular paths, we must first start with a quick refresher on journeys. So Journeys is a feature that helps you visualize how users explore your site, showing you that step by step page navigation and other key interactions along the way. With Journeys, it's really simple to get answers to questions like, what are the most common navigation paths? Or where are users going from a particular starting point? So while journeys is really powerful and can help with those answers, popular paths is a feature of journeys whose purpose is to get you to those types of insights even faster. It will provide you with the pathways within the journey which demonstrate qualities that signify high impact. This helps to call out the signal from the noise because it automatically tells you which paths from the journey showcase meaningful weight. This means that they have significant rates of completion, there are significant lengths, which are more than three steps, and they don't incorporate duplicate paths. And also, they are not subsets of other paths. So when you think back to questions that generally come to mind when you come to journeys in the first place, this provides those answers without requiring you to do the analysis yourself. So very quickly, you can take a look to see which are the most common navigation paths, and not only common, but also significant. Alright. Let's see this in action with a demo. In this example, imagine I'm a product manager for an ecommerce car rental company. And over the holiday break, we revamped the website, introducing new paths from the home page, and I wanna understand if our updates have impacted how users navigate through the website. So I'm starting out on the journeys page because I know it is a tool that will help me visualize the paths users are taking. My first task is to select my configuration, which is as simple as selecting my preferred page or event. And in this case, I want to know how users are navigating from the home page. Start with maintaining this starts with option as well as this viewed page option. And then from this drop down, select my home page. From here, it's as simple as clicking explore to get my journey's results. And upon first glance, you'll notice that it could feel a little bit overwhelming. The journey has a lot of different steps, with each step having a lot of different events. And, in this case, those events are viewed pages. You'll notice here that the top five pages are exposed as their own individual node. However, the remaining pages are grouped under this other bucket. With the latest journeys release, I'm now able to click into this other bucket and see all the viewed pages that still made up a percentage of users who continued on from the home page. So if I click here, it's as easy as seeing the other pages that didn't necessarily make up a large enough percentage of the sessions to make it into the top of five events, but it's still really, really helpful to know. So with this wealth of information on my fingertips, it could be hard to know where to start. But with popular paths, this feature really helps expedite my analysis. If I navigate to the drop down labeled popular paths, I can easily click in to see that there are two popular paths here that are being highlighted for this particular journey. And by clicking into one of them, I can easily apply and visualize a popular path right on my journey. And what's really neat about this popular path feature is that it is really dictated by what is configured on your journey. So if I move remove this option here, and let's just say I hide this particular page, and then I go back to popular paths, you'll notice that the new options that are being populated are different from the previous. And this is because that page that I had hidden is now being excluded from the journey configuration and thus also removed from the popular paths configuration. So very quickly, I'm able to assess which popular paths are relevant to my exact journey configuration. And what's really cool is from here, I can take the insight as it is, or I can seamlessly turn it into a funnel or segment for further analysis. By going to this create drop down here, I can quickly click into a funnel or a segment. And for this example, I'll click into the funnel, which will navigate me to recreate the popular path as a funnel. So you'll notice that each of the journey steps now are listed as its individual funnel event. And from here, I can quickly visualize the popular path as my new funnel. So popular paths are a really great feature that helps expedite the time to insight from a journey map or as a starting point to set up a funnel. And, if you'd like to learn more and dive into further details, I'd recommend checking out our knowledge base and hopping into an article labeled Journeys Popular Paths. Alright, let's dive into global annotations. So, with the availability of global annotations comes the ability to quickly apply important business level context directly onto all your metrics and funnels. So, whether it's a major campaign launch, or routine events such as a release update, or even something major like an outage, use global annotations to ensure that important business context is applied across all trended views of metrics and funnels in one step without needing to recreate the same individual annotation again and again. This makes certain that the relevant context is shared across all members of the team as they dive into their metrics and funnels for analysis. The context can be a really quick and easy way for other people in your organization to get answers to immediate questions when looking at a new spike that has appeared in the data. Without the need to go and track down the right person to ask the question, global annotations can give them immediate answers. What's neat about this too, is that global annotations can be added through the app or the API, so it provides added flexibility to apply it in the way that makes the most sense to your users. And with that, we can dive right into the demo. In this demo, I'll show just how easy it is to apply a global annotation to your metrics or funnels. Let's say on January 7, a major release occurred that I believe to be useful user context that should be applied globally for members of my team to take advantage of. I can quickly apply it to a metric or funnel trend card by hovering over the appropriate date and clicking on the plus icon. From here, I can give a description about what the occurrence is. In this case, it's a code release. I can change the icon to set it to the appropriate emoji. I can choose whether or not this is in containing a range or just a single date and time, and then I can change my visibility. So this is where you can change a local annotation, meaning that it's one and only one instance, to a global annotation, meaning that it's applied across all metrics and funnels. So from here, it's as easy as switching over to this option to show on all metrics and funnels and clicking save. Now you'll see that the global annotation has been applied not only to this metric here, but also this metric here as well. One thing to note is that if you change the chart type to something other than a metric trend, let's just say a single number, you'll obviously lose out on seeing the annotation itself. However, if you switch back to the chart type to align chart, you'll notice that the annotation appears again. And it's as simple as that. You can apply the annotation globally through the UI or through the API. Just check out our developer documents to learn more about how to do so. Thanks, Kathy. Global annotations really are such a great way to add context, like, right where it's needed. Super handy for collaboration when everyone needs to be on the same page, which is all the time. So hope everyone, starts using that if they haven't been using it. That was awesome. Alright. So now we're gonna shift gears, and I'm gonna hand it over to Lucy to talk to us about our next feature. Awesome. So, yeah, really excited to talk to y'all today about suggested elements. This is the feature that's currently available for all customers. What it is is smart recommendations for easier data understanding and advanced analytics. A lot of the times, there's just so much to figure out what to track on your user experience. So suggested elements finds the most interacted with top clicked volume, things that are being, interacted with by your users, and then we'll surface those critical elements for you to name and structure according to your tracking needs. So this quicker data structure empowers you to better understand user behavior and also feed that into your AI and ML workflows as well. Upcoming, we also plan to have, future iterations of this feature where we'll surface it within the workflow, such as heat maps and session replay. And if you're interested in this, we'll be posting a poll so you'll be able to opt in to this feature and others if you're interested. And with that, let's jump into the demo of suggested elements. Alright. Now that I've got my screen shared, we can check out the suggested elements feature. So I'm in a staging and testing environment right now, but works like any other org. I'm gonna go to settings here to find the suggested elements. Now in v one, these are only gonna be available in settings, but, as I mentioned, in future iterations, we're hoping to bring these, into other parts of the full story product. So I'm gonna go to elements here, and then I can access this of two ways. Either you can choose the filter for suggestions in the drop down status below, or, you can view suggestions. So here, I've got a couple. Let's see. Let's maybe take a look at this one, transaction type filter. So we'll open this one up, and this was an element that, again, full story found in my behalf. It was seeing lots of volume with this element, but it hadn't been named yet. So this has interacted with, like, 900 times for, this test org that we see here. I can open up Data Studio to see, which pages it's been seen on. I can also see what potential selectors it overlaps with. Looks like there's nothing else that really overlaps with it for tracking. So this would be tracking something new, on my page. And looking at the preview, it looks like it's tracking the all tab as a filter here. So for me, this is probably something I wanna be tracking. If I'm curious, I can make sure it's really just the all tab. Based on the text being all, that's only occurrence. Seems pretty solid that I can go ahead and save this. So, what the, suggested element does here for me, it helped me find the element automatically. It helped trim it already. So that way, I've got a nice clean selector that's reliable, that I can track going forward. It even helped name it for me and, even helped put the description automatically in it for me. Of course, I could change some things if I wanted to customize it, but, for now, I can just go ahead and save it. So I'm gonna click save here. If I didn't like the suggestion, I could always reject it as well. But I'm gonna go ahead and click save. I think we've probably got time to do another one. So let's maybe do this, let's say promotional banner button. Yeah. That looks interesting. We probably wanna see how our promos are going for our, car rental site. So, yeah, here, lots of volume. Again, over 1,000, interactions with this to, yeah, for customers to get begin their year right for this, ongoing promotion. Looks like the promotional banner button was already named for me. That sounds pretty good. And then the description showing the discount information was pretty good as well. So I'm just gonna go and check if I actually wanna create it. Looks like it only appears on the home page. That's great to know. What's the text? It looks like it's only the specific banner, so maybe I could do the 25% off banner button. Let's say if I really wanted to save it that way, And then let me check out the elements as well. It doesn't look like it interacts or overlaps with any other elements. So really, FullStory has done me a favor here by finding all these things that I should have been tracking, that customers are interacting with. But again, because FullStory, is able to capture this information upfront, all I have to do is name the element. And then I'll be able to, also just keep a view on that activity that we saw previously. So let's go ahead and hit save on this one. Virtual banner, 25% off. Save. And maybe one more, just for fun. FAQ drop down button. Let's see where this has been seen. Yeah. Based on the preview, it looks like this is tracking the drop down buttons. Maybe it'd be interesting questions for me to answer on how often users are interacting with these, which types of text is it associated with. Here, because it's an icon, maybe not. But let's see if it's associated with any other elements. There's no other elements that have been tracked for it. So I could save this, but I might decide to do some more investigation. So I can always leave a suggestion and, exit out if I don't know what I wanna do with it yet. And then, again, I can always just view more suggestions later. So, yeah, that's a really quick overview of our suggested elements feature. Next, I'll hand it back to you, Dijanae. That was awesome. Yeah. Suggested elements is such a time saver for teams that are looking to streamline their workflows and by making it easier to name and structure your key elements, you're not just keeping things organized which is definitely a plus, but it also eliminates the guesswork and helps you get to those insights faster, which means way less time spent on setup and you're just setting the stage for even deeper and more accurate insights down the road, which we love. So thanks, Lucy. That was great. And now that we've walked through today's updates, let's recap the key ways that these features can help you work smarter and get more value out of full story. So first we talked about popular paths and with popular paths, you can uncover and optimize the highest impact user journeys with automated insights. So depending on your business, that might look like a checkout flow or an onboarding experience and just starting by exploring your most common user paths to identify friction points and opportunities for improvement. Second, we talked about global annotations, which help you keep your data clear and contextual with annotations that persist across your team's analysis. So you can use these to highlight major product launches or marketing campaigns. So everyone is working with the same insights and the most relevant context. And then last we talked about suggested elements which help you save time with these AI powered recommendations for structuring your elements which means faster setup, more reliable tracking and you can focus on insights rather than just organizing all of your data. So that's what we covered today. We're super excited to see how you put these features to work. And remember, if you ever need a refresher, you can always check out our help docs. The links are in the resources tab of this webinar. You can also return to clips from today's webinar or reach out to our team. We're happy to help, always. So that's it. You've got the inside scoop. And so now, it's time for you to dive in to FullStory and start using these features. If you're watching this live or on demand, you either received or will soon receive a follow-up email with links to resources based on everything that we covered today, and I highly recommend taking a look at those. So, of course, we've got release notes. So if this kind of information is interesting to you, you're interested in new features, stay in the loop with all the latest updates by taking a look at the release notes. And then we also have another webinar happening next month. So if you're joining us live, there is a get the next scoop button in the upper right hand side of your screen. So you can go ahead and click on that and you will be added to the registration for next month's webinar on March 13. And then we also have the full scoop email that goes out once a month, so keep an eye out for that. Then we have the event hub, so this is your place to go whether it's live sessions or on demand recordings. We have a library of learning content content and there's always something new to explore there. And of course, we have our help center. That's gonna be your go to for quick answers. So whether you're setting up new features or you're troubleshooting, the help center has you covered with all of the step by step guides that you need. So dig in, explore, and don't hesitate to reach out if you have any questions. Thank you all for joining us today and being such an amazing audience. We really hope that you're as excited about these new features as we are, and we can't wait to hear how you'll use them in your day to day workflows. A minute ago, we launched our post webinar survey, and we'd love to hear your thoughts. Your feedback is incredibly valuable to us and just helps us to advocate for more webinars and content like these. So please take a moment to share your experience with us. And like I said, if you want more, feel free to hit the get the next scoop button in the top right of your screen to sign up for our next month's session. We've got another set of amazing features coming your way and so you won't wanna miss that. And of course, huge huge thank you to Kathy and to Lucy for walking us through these exciting new releases. We hope to see you all back here next month. Thanks everyone and have a great rest of your week. Bye.