What’s the bigger blind spot for most brands’ digital experience: knowing that a customer is struggling, or understanding why and being able to help them in that exact moment? Agility requires not just identifying customer friction quickly, but having the tools to resolve it in the moment. It’s about shortening the gap between insight and action to create better experiences, faster.
Today, we’re going to talk about a strategic evolution in digital experience management: moving beyond passively observing user behavior to actively intervening and guiding users toward success, directly within the product. We’ll explore how this shift is being accelerated by strategic acquisitions and how it empowers product, marketing, and CX teams to solve problems in real time.
To help me discuss this topic, I’d like to welcome, Jason Wolf, President at Fullstory.
About Jason Wolf
Jason Wolf is an accomplished technology executive with over two decades of experience driving strategic growth and operational excellence across the technology sector. As President of Fullstory, Jason leads sales, customer success, support, professional services, partnerships, and revenue operations.
Before joining Fullstory, Wolf served as Ping Identity’s Chief Revenue Officer, leading an international team that cemented the company’s position in intelligent identity solutions that make digital experiences secure and seamless. Preceding his time at Ping Identity, Wolf spent over 15 years at SAP, where he held several executive positions, ultimately culminating in his role as CRO, overseeing the business’s spending management and network line. His career also includes valuable experiences at Pfizer Pharmaceuticals and as a consultant for Ernst and Young.
Jason Wolf on LinkedIn: https://www.linkedin.com/in/jason-wolf-ismatsap/
Resources
Fullstory: https://www.fullstory.com
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Transcript
[00:00] Greg Kihlstrom: Hi, I’m Greg Kilström, host of The Agile Brand, and here’s a question for you. What’s the bigger blind spot for most brands digital experience? Knowing that a customer is struggling or understanding why and being able to help them in that exact moment.
[00:14] Agility requires not just identifying customer friction quickly, but having the tools to resolve it in the moment. It’s about shortening the gap between insight and action to create better experiences faster. Today we’re going to talk about a strategic evolution in digital experience management, moving beyond passively observing user behavior to actively intervening and guiding users towards success directly within the product.
[00:39] We’re going to explore how this shift is being accelerated by strategic acquisitions and how it empowers product, marketing, and CX teams to solve problems in real time.
[01:30] To help me discuss this topic, I’d like to welcome Jason Wolf, President at Fullstory. Jason, welcome to the show.
[01:37] Jason Wolf: Greg, thanks for having me. We’re really excited to be on the show today. And I think you’re right. This is this is a special moment in time with activating context to action.
[01:47] Greg Kihlstrom: Absolutely, yeah. And before we dive in though, why don’t you give a little background on yourself and your role at Fullstory?
[01:53] Jason Wolf: I’ve been at Fullstory a little over three years now. It’s been an exciting run. Prior to Fullstory, I worked in supply chain and procurement, then in cybersecurity, and now over at Fullstory, work is working on harnessing behavioral data.
[02:08] Greg Kihlstrom: Great. So yeah, let’s let’s start out by I want to start at the strategic level here and and what I touched on in the intro, just moving from solely observation, I mean, observation certainly is still important, but moving from observation to action. And why don’t we start with Fullstory’s acquisition of Usetiful? A lot of companies face that build versus buy decision when they’re deciding to expand their platform. What was the strategic thinking at Fullstory that made acquiring a company the right move to accelerate your roadmap, particularly in this area of in-app guidance?
[02:44] Jason Wolf: Absolutely. Well, let’s break that down a bit. You know, ultimately, I think there’s a build, buy, partner equation that that companies go through when they when they’re answering this question. For us, we wanted to start with the customer in mind and really in turn their customers. Understand the outcomes that they needed. And once that vision was locked, we really thought about how is it that I can actively and organically activate real-time behavior into something that matters for an end user. Everyone that we work with, from engineers, to product, to support, to the marketing teams, they really want to make this about the end user interacting with their digital platforms, and that’s really what this allows us to do. It allows us to understand what’s happening and then turn out really meaningful data in a way that helps the customer achieve the the outcome they’re looking for.
[03:33] Greg Kihlstrom: Yeah, and that a big part of that meaningful data is closing the loop, right, between identifying user friction and resolving it. How does combining that deep behavioral data with the ability to deploy no-code guides represent what really a fundamental change for how modern product and CX teams should operate?
[03:56] Jason Wolf: Well, I think it’s it’s all about that context and the immediacy of the context. With no-code guides, you have the ability to take the moment, the literal customer’s interaction, understand what’s happening, whether it’s positive engagement, whether it’s a new user, whether it’s it’s friction that’s occurring, we can understand that in real time and activate a meaningful response that’s based on the end user. It doesn’t feel generic. It doesn’t feel like it’s for everyone. It feels very specific and unique. And I think as people have been engaging more and more with solutions these days, they expect the solutions to listen, to learn, and guide them. And that’s exactly what this allows us to do.
[04:36] Greg Kihlstrom: So, with these new capabilities then, who’s the primary user inside a an enterprise? You know, is this a tool for product managers, marketers, CX teams? You know, how do you how do you see it kind of maybe breaking down some of the operational silos that that often exist between these groups?
[04:55] Jason Wolf: We love it. I mean, we use this ourselves. So, we’re our own case study.really, it’s fantastic. So what’s nice is the tool is set up in a way, each of those teams that you mentioned, so CX teams, the product teams, the engineering teams even, can see and interact with the solution. What we do is we do a pretty significant focus on what does a high-quality customer experience look like? What are the beacons of success? What are the beacons of challenge? And along that that pattern, we identify moments where we may be able to help the end user. And what’s beautiful is, each of the teams have the capacity to build and operate their own guides or their own surveys, but we do harness them into basically a bi-weekly review where we decide how much content’s going out, who it’s going to go to, how long it’s going to run, and how we’re going to assess the impacts. It’s pretty fun to do.
[05:45] Greg Kihlstrom: So, I mean, in in essence, that is helping to, I mean, everybody has a piece in that to your point, but it’s it it is helping to break down some of those silos, right?
[05:55] Jason Wolf: Absolutely helping to break down some of the silos because a couple things happen. One, you know, a lot of organizations have stated truths. They have things that they believe to be true. But when you combine Fullstory with our guides and surveys, formerly Usetiful solution, you can start to work with observed truths. And what I mean by that is because we can actually see every single session that happens, you can not only understand when the guide is firing based on what context, but you can watch how the end user interacts, you can see how deep they’re going, you can see when they abandoned both the product itself as well as the guides themselves. And it really takes you down a path of not just the what I believe to be true, but to the true observational truth, which is backed by forensic detail that I think people are missing today. And it also can, Greg, it can be uncomfortable because it’s not always what you expect it to be.
[06:46] Greg Kihlstrom: Yeah, yeah, definitely. Yeah, there and we’re we’re certainly not running short on dashboards and and analytics and and stuff like that. But maybe one one way to do this, can you walk us through a tangible example, you know, maybe a team uses Fullstory to identify a common drop-off point in a user journey? You know, what what what does this look like in in practice?
[07:08] Jason Wolf: Yeah, this is the best part aboutguides and surveys. So, what does it look like in practice?well, what we’ve done is, you know, this is specific to a SaaS company, such as ours, or a SaaS and AI company such as ours. And what we’ve done is we’ve we’ve broken our our end user experience down into, you know, four centralphases: the implementation phase, the adoption phase, the value phase, how they’re using it, and then a growth phase. Inside of each of those particular functional points in the and a customer’s life cycle, we’ve identified beacons of positive use and beacons of negative use. And we actually use the guides and surveys in both circstances. So, if it’s a new capability for a particular persona, we’re going to really push them down this path of, hey, did you know that you can you can you can do this with the data now?if it’s a negative use, meaning people are using the solution less, and we believe we understand the why behind that, then we can use the the the surveys or the guides to say, did you know this is possible? Here’s what we can do, and here’s a link to a video or to a to a help guide to help you achieve it. So, what this does is it allows us to understand the persona. It allows us to understand where they are in their journey, and it allows us to very micro-segment moments that kind of matter to people based on the actual session that was happening to them. And and I think what this means is it feels hyper-personalized. It kind of starts to lead you into you got to heal the moment when people experience friction, or you need to seize the moment when people experience engagement and they’re really positive with something.
[09:45] Greg Kihlstrom: So let’s talk a little bit about measurement. And, you know, I would imagine there’s a a million different use cases and therefore a million different metrics that can be solved. But, you know, maybe maybe in give us an example of, you know, when a team implements a guide to resolve a friction point, what what are some of those metrics that a team should be looking at to measure effectiveness?
[10:08] Jason Wolf: I think this is what matters the most. So, at Fullstory we we adhere to a concept known as say, show and prove. So, any software vendor can say they do great things, sometimes they can show them in compelling demos, but it’s really proving that matters.and so, here’s how we go through the process of proving the efficacy of a guide or survey, okay? So, you know, one, I mentioned the personas, we we break our customers into the different personas, so that’s important. So, the first thing we’ll measure is users that were impacted or interacted with. Well, for surveys, we’ll look at things like open rates or click rates. For flow completion on a guide, we’ll look at percentage of people that completed the entire flow, if not the entire flow, how far did they get?and that becomes a very big indicator of is it working well. We’ll also assess the total, in our case as a SaaS and AI company, the ARR touched by said guides.and the other thing that we’ll look at is how many different campaigns were we running that worked, how many campaigns that we were running that didn’t work. And what this does is it helps us give direct feedback to the product managers or to the digital success team. This was working, this didn’t work, you didn’t collect the right insights. I think those are powerful. But, nber of users, open rates, the completion rates, and then the total ARR touch is a good way to just get your hands on the efficacy of the solution itself.
[11:33] Greg Kihlstrom: Yeah, and I would imagine that in some cases we’re talking about making micro-improvements as well. And so certainly we we all know if we can reduce friction overall, we’re going to get more, you know, whatever it is. We’re going to sell more widgets or, you know, how what whatever the get more subscriptions, whatever the case may be. How do you, you know, initially, how do you make that business case that improving these micro-experiences are going to lead to things like customer lifetime value and, you know, some of those some of those larger KPIs that that these teams are also being held to?
[12:09] Jason Wolf: I think I think the the we partner very close with our finance team and the art of connectinga given segment of users and persona of users tied to the the what you run, it is possible. We saw in one of our particular segments about 11% improvement in DDR, 11% improvement in DDR. And we really believe that is based on the fact that we engaged with people at those right moments. We gave them new insights. And and I think what it also did is it makes that user feel like, oh, this is a company that understands my role. This is a company that understands my problem. This is a company trying to help me do my job faster or better. And I think when you hit that union, we see the spikes in usage just go way up and we’ve seen it’s it’s been fascinating because again, it’s an observable truth. You can see who who was engaged with. You can see who engaged, and you can actually see the improvement over time. And it’s pretty powerful.
[13:07] Greg Kihlstrom: Yeah. So, thinking out, you know, months, maybe even years ahead here, this seems to point to, you know, first we were just observing and then taking some set of actions at some point, whenever we could get it in the product queue or or whatever. Now we’re talking about much more actionable responses. Are we moving towards a time when digital experience almost becomes self-healing automatically, you know, based on some of these these real-time observations?
[13:40] Jason Wolf: We are. I mean, let’s just make it simple. It look it it we are, and I think it’s it’s really this this union of intelligent digital experiences, they’re going to be powered by han context, okay? Whether that’s an agent or a han by the way, it won’t matter, but the context of what the han or an agent is trying to achieve is going to ultimately deliver the intelligent experience. And this is precisely what we’re working on. It’s not just the fact that we can observe and understand what’s happening. It’s all about the speed, and it’s also about the data openness. So with Fullstory, you can capture the exact thing that’s happening with the user on the experience. That data is then accessible via API and MCP. It it can be connected to a we have many customers doing this, to their preferred LLM or a data bridge to an to a set of LLMs, and we can help them identify what exactly is happening to a user in the exact moment within seconds. So think about that. It’s the real problem happening to a real person or a real agent, but a real person, let’s just take it down this path, a real person, and you want to see difference. You want to help them solve a problem, and you don’t want it to be generic, right? So the only way to do that is to really take that context that’s only can be created by the unique user flow that a person traverses, you want to be able to take that, understand what they should be doing, identify the right level of intent, and then immediately suggest back to them what to go do, or at least engage them, right, in a two-way communication. And this is this is this is where it’s fun. This is we have some customers doing some amazing things, Greg, as you can imagine, and it’s it’s very unique because it’s not about who the user is, because it’s user XX4416. We don’t even know the person. It’s just more about what’s that intent, what’s the objective, and how can I capitalize on that, not just hope that they’ll follow the right path.
[15:33] Greg Kihlstrom: And what you’ve touched on already there’s a lot of AI stuff going on behind the scenes, I would imagine. You also, you know, touched on a little bit where we’re not just talking about han users as users of these applications. We’re talking about agents and, you know, conser adoption of AI is increasing pretty pretty quickly and pretty dramatically. And so, you know, we’ve got this agent-to-agent world as well. But, you know, so whether it’s UX or AX, I guess they call it, so, you know, all all of these things there’s friction in in all of or potential.
Jason Wolf: There’s friction 100% there’s there’s but there’s there’s inherently when you do anything in any application, you know, whether it’s the tool you’re using to run this, or it’s a Slack that’s going to someone else, or you’re inside of whatever your tools, you have a goal and objective. You have a path that you’re working on. You’re typically one of many in a cohort. Well, what we’ve been observing is in a given cohort, whether it’s 10 or 200, there are certain patterns that develop. It’s and I hate to say this, I know the product managers out there won’t love this, but it’s never the golden flow. It’s just isn’t. People people follow the paths that they figure out. What we need to do is help people and we need to in organic ways nudge them towards like outcomes that they are anticipating. And this is what really what we where we see guides and surveys ultimately being. It’s not just about the guide or just about the survey. It’s about taking that context, understanding the goal, and nudging the person into a way that gets them to the outcome faster. It does two things. One, it gets the it gets the product managers, engineers, CX teams pretty happy because people are doing more in the tool. But two, it’s the most important is it’s the most rewarding for the end user, right? The end user, what again, agent or han, is going to want to get to the outcome they were asked to get to, right? So if it’s paying an invoice or if it’s evaluating some sort of RFP, they need to get through that process. And if we can make it simpler, faster, easier based on exactly what they’re doing versus the preferred path, then you’ve just kind of kind of leapfrogged or curb-jped around some complexities that just are hard to get past today.
[17:43] Greg Kihlstrom: Yeah, yeah, love it. Well, Jason, thanks so much for joining today. Got a couple last questions as we wrap up here.first, if we were having this interview one year from today, what is one thing that we would definitely be talking about?
[17:57] Jason Wolf: I think that the self-healing concepts start to materialize.it’s that we can we find that context, we can we can rapidly use it to drive meaningful impacts, right? and in real world today, we like the concept of Instagram in our personal lives to just scroll through. But if you think about it, or maybe you think of your your favorite TV streaming service. They do a good job of getting you the data you want, right? In the end, I don’t think the software that people use or the agent uses is going to be that much different. We should be able to understand people’s intent, understand people’s objectives, and navigate them to successful outcomes at a faster clip. And I think that’s what we’ll be talking about is how we’ve kind of gone from design and all these sessions to listen, understand the context and guide, and I think that’s what’s going to happen.
[18:49] Greg Kihlstrom: Nice, nice. Yeah, we’ll we’ll have to talk about that next next year then.
Jason Wolf: Probably six months, Greg. Let’s do it in six months.
Greg Kihlstrom: Yeah, fair enough. Yeah. great. Well, last question for you. what do you do to stay agile in your role and how do you find a way to do it consistently?
[19:04] Jason Wolf: Oh man, I think it’sfirst to do a lot of reading, generally end of day, very beginning of day, to start and end.and then I think a lot of it’s podcasts like yours, it’s listening, seeing what’s going on out there, and then it’s conversion. What I mean about conversion is two things. So if you read something, listen to something that’s interesting, but how do you convert it? I think the first thing you do is you play, have a test with it, run with it. You’ve got to be curious enough to curious enough to play. If you’re not playing, that’s a problem. And then after you play, it’s then you got to act, and it’s is this meaningful, not meaningful, make a decision, make it part of your routine. And I think those are the kind of the four principles that I I go by, read, listen, play, and act, and that kind of helps me stay stay abreast of what’s happening.
