A strange thing is happening inside companies right now.
We’ve built more tools to measure performance than ever before—dashboards, OKRs, engagement surveys, quarterly reviews—and yet, ask most employees one simple question:
“Do you actually know how to get better at your job?”
You’ll get a long pause.
That gap—between data and real self-awareness—is exactly where Jared Goralnick decided to build.
The Broken System Everyone Accepts
For decades, workplace feedback has followed a familiar script:
Fill out a survey
Rate your peers from 1–10
Add a polite comment
Let your manager “interpret” it
On paper, it looks structured. In reality, it’s deeply flawed.
The person delivering your feedback often controls your salary, promotion, and role. Which means the entire system is quietly biased from the start. People hold back. Managers filter. And what reaches you is a diluted version of the truth.
Jared has seen this from every angle—founder, product leader at Microsoft and LinkedIn, and operator inside large-scale talent systems.
His conclusion is simple:
Most feedback systems optimize for organizational safety—not personal growth.
The Insight: Humans Open Up… When the Stakes Disappear
Now here’s where it gets interesting.
When Jared and his team started testing voice AI as a feedback mechanism, something unexpected happened.
People talked. A lot.
Not in short, corporate-safe blurbs—but in stories, examples, and real observations. The kind of feedback you usually only get from a trusted coach… or a brutally honest friend after a few drinks.
And even more surprising?
People were willing to spend 30, 60, even 90 minutes talking to an AI coach.
That’s when it clicked.
The problem wasn’t that people don’t want feedback.
It’s that they don’t trust the environment where feedback happens.
Enter Your360 AI: Feedback That Feels Like Coaching
Your360 AI is built on a simple but powerful idea:
What if everyone had access to an executive coach—without the $10,000+ price tag?
Instead of static surveys, the platform uses voice AI to:
Interview your colleagues
Not with checkboxes, but with guided, conversational probingDetect real patterns
Not “you’re a 7.4 communicator,” but “multiple people say you interrupt in meetings”Walk you through it like a coach would
Helping you process strengths, blind spots, and what to actually do next
The difference is subtle—but massive.
Surveys give you data.
Conversations give you insight.
The Deeper Pattern: AI Is Rewiring Work Itself
Zoom out, and this isn’t just about feedback.
It’s about how work is changing.
Jared describes a shift from specialized roles to what he calls “spiky generalists”—people who can operate across functions but have sharp strengths in key areas.
At the same time:
AI is absorbing repetitive tasks
Decision-making is becoming faster (and messier)
Soft skills—communication, prioritization, taste—are becoming hard advantages
In that world, one skill quietly becomes a superpower:
Knowing how you actually show up.
Not how you think you show up.
Not what your performance review says.
But the real pattern others experience.
The Founder Lesson Hidden in Plain Sight
There’s also a startup lesson buried in Jared’s journey.
His previous company taught him something painful:
You can build a great product… in a market that’s too small.
This time, he flipped the script.
Instead of asking, “Is this a good idea?” he asked:
Are people already spending real money on this problem?
Can we make it 10x cheaper and 10x better?
Does that expand the market dramatically?
That’s the same playbook behind companies like Uber—where lowering cost and friction didn’t just compete in a market…
It created a bigger one.
The Uncomfortable Truth About Self-Improvement
Here’s the part most founders (and HR tools) don’t want to admit:
Not everyone wants to improve.
Jared points out that a surprisingly small percentage of people actively seek growth. Most treat development as a “nice-to-have,” not a necessity.
Which means building in this space is hard.
You’re not just solving a product problem.
You’re fighting human nature.
So What Does This All Add Up To?
If Jared’s vision plays out, the future of work looks something like this:
Feedback becomes continuous, not annual
Coaching becomes accessible, not elite
Self-awareness becomes measurable, not abstract
And maybe most importantly—
Career-defining insights won’t depend on having the right manager, at the right time, in the right company.
They’ll be available on demand.
Final Thought
Jared shared a simple ambition:
To create moments where someone hears something about themselves that changes their trajectory.
Not incrementally. Not marginally.
But in the way that makes you stop, rethink everything, and choose a better path forward.
Because most careers don’t fail from lack of effort.
They fail from lack of clarity.
And clarity, it turns out, might be one of the most valuable products AI can deliver.
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Chapters:
00:01 – Intro & Guest Welcome
00:23 – Jared’s Early Tech Background
01:27 – Running, Philosophy & Personal Habits
03:11 – Early Influences on Building Products & Teams
06:30 – Obsession with Human Behavior + Software
08:23 – The 4-Hour Workweek & Early Productivity Work
10:19 – Favorite Gadgets & Camping Lifestyle
13:51 – LinkedIn Lessons: Marketplaces & Feedback Loops
17:59 – From Features to Systems Thinking in Product Leadership
21:02 – Founder Lessons & Early Startup Mistakes
25:05 – Origin Story of Your360.ai
27:15 – Market Size & Disrupting 360 Feedback
30:41 – Psychological Safety & AI-Driven Feedback
34:39 – Surprising User Behavior with Voice AI
37:16 – How Your360 Works (Product Walkthrough)
41:14 – Data Privacy, SOC2 & Enterprise Concerns
45:10 – Biggest Mistakes in HR Tech Startups
47:43 – Future of Work & Career Survival Skills
50:08 – Long-Term Vision for Your360
52:08 – Beliefs That Changed Over Time
56:00 – AI Tools, Productivity & Claude/Cursor
Transcript
Brian Bell (00:00:59): Hey, everyone. Welcome back to the Ignite podcast. Today, we’re thrilled to have Jared Gronick on the mic. He is a product leader and multi-time founder and the CEO and co-founder of Your360 AI, a voice AI platform for rethinking 360 feedback and personal growth at work. Thanks for coming on, Jared.
Jared Goralnick (00:01:13): Thanks, Brian. Thrilled to be here.
Brian Bell (00:01:14): So I’d love to get your origin story. And what’s your background?
Jared Goralnick (00:01:17): Well, my background, I guess, is similar to many of those tech entrepreneurs. I was an early geek, early to technology. My dad worked at Digital Credit Union, which you hear the first word in there. It is, in fact, digital. So he had access to a lot of tech. I was very much one of those people that was 80, 86, working on basic, going to computer camps where I was doing programming. My first money that I got in the door was selling burned MP3s, like one speed CD burning kind of stuff.
Brian Bell (00:01:46): I remember when 2X came out, remember that? I was like, okay, I could burn it twice as fast now.
Jared Goralnick (00:01:50): That was a big deal. I remember when 14.4 turned into 28.8. I mean, it was, you know, I was on bulletin boards, all that stuff. So yeah, I was just very much early to the tech world. I mean, I grew up outside of Boston and kind of suburbia. Computers were a big part of my life. I was also really into things like philosophy and running, which I ended up majoring in philosophy. Maybe we’ll get there or not.
Brian Bell (00:02:13): Because they didn’t offer a running major, obviously.
Jared Goralnick (00:02:15): And I would not have been a world-class successful person in that, but it is something that grounds me. I think I was the energizer bunny when I was growing up. So it very much slowed me down a little bit in terms of the rest of the world or the rest of life. So it was a good thing for me.
Brian Bell (00:02:30): What is it about running? I’ve never been a runner. I don’t like to run. I have to actually trick my body into running by playing basketball, which I’m going to go do today. And I still do, even though I’m too old for it. Is it kind of the meditative space that you get from, like you would get from a meditation? Is it really that or is it, what is it about running that you really like?
Jared Goralnick (00:02:47): It’s hard to know since I haven’t meditated, but I will say that two things. One, it forces me to disconnect. Maybe I’ll listen to music or a podcast sometimes. Sometimes I don’t, but I’m always in nature. I’m not a big run in the city and busyness kind of person like where I live, just sort of overlooking Mount Tam over there.
Brian Bell (00:03:05): Right, which is North Bay, if anybody’s listening, doesn’t know where that is. It’s like Marin County, just north of San Francisco across the Golden Gate Bridge.
Jared Goralnick (00:03:11): Oh, well, thanks. That’s where I live. And we live here because our big part of it is we’re really into hiking and trails and nature. And this is my dose of that at least three times a week. So I’d say that’s one of the biggest part. And then the other part is just from like an energy perspective, you know, it’s sort of I just need to, you know, it’s sort of like, I mean, I lift as well. And in both cases, the chance to just push yourself really hard and, you know, sort of like how it feels cathartic to scream, but we just can’t do it all the time. Well, we’re running is my
Jared Goralnick (00:03:44): I love that.
Brian Bell (00:03:45): You had a ton of really interesting early experiences in family school, jobs, computer camps. How do you think that shows up in how you build products and teams now?
Jared Goralnick (00:03:55): You know, I guess there’s the work side and there’s the family side. And on the family side, you know, I mentioned that job at Digital and it was interesting. I saw my dad very much being in this incredible job that was kind of a startup that was going really well. And he was, you know, one of the first four or five people there. and how much he loved that. But then after, for some crazy shenanigans that happened with some obscene, with his boss, with whatever, he ended up leaving. And I think he spent much of the rest of his career of trying to find something as good as that and didn’t and that was always really hard for him and it wasn’t necessarily on his fault of his own it was just a matter of what was what was around and also making sure that he put his family first in terms of like needed to take care of us and so on and i’ve i think one part of my career has been defined by just sort of being grateful and recognizing the role that i’m in right now and you know i started a company when i was 20 and i went on to.
Jared Goralnick (00:04:57): Then, well, I started another company after I sold that first one. And then I went on to Microsoft and LinkedIn. And I remember when I was leading product at LinkedIn Recruiter, it was kind of like this $2 billion business and huge, huge opportunity and helping people to get jobs. And I just thought, holy God, like if I do nothing else, like this is really rewarding. And I don't mean to say that I wanted to stop. But I just sort of connected it to that family position and just seeing how like I just I didn't expect to get this far. I'm so happy that here I am. So that was one of the big influences. I guess the other one was, you know, on the career side was when I when I was 16 years old, I wasn't sure whether I would do sort of technology. It always been kind of nerdy, but I've also always liked people. And I was worried that if I were a software engineer, that I would just, you know, code all day and not talk to people. And I had this job at 16 in quality assurance. I had an office with two computers and it was this early startup that was trying to replace something that ultimately, unfortunately, became part of Windows 98. But I just remember the collaboration that I had and the excitement and having a manager that would just like, would keep pushing me and like really helpful and healthy ways. And there was the free Snapple at the office. And I just, I just loved it. It was so much fun. And, you know, before that I was like, do I go into law or do I go into, but I realized both from the collaboration and from the power of that manager, like how much I did want to go into that. So I guess, yeah, the, the three things in that putting together, like the role of an amazing manager, being grateful from my dad in terms of just seeing what the arcs that careers have and being just clad to have found something amazing. And then, of course, that technology is something that is social and collaborative, a team sport. It's not just about sitting down and coding away.
Brian Bell (00:06:44): So you’ve lived at this intersection of human behavior and software for a long time. Where did that obsession start?
Jared Goralnick (00:06:50): I mean, along with technology, sort of alluded to philosophy earlier. I mean, I remember I was reading it in like seventh grade. Like I was reading a bunch of like Lewis Carroll stuff. And ninth grade, I started getting into real philosophy. Like I’ve always been interested in kind of how the world works, like the big whys behind it. And some of that was philosophy. Some of it was psychology. But I just kind of always had that on my mind. And right after I graduated from college, it was the dot-com kind of bust. It was 2002. It wasn’t a good time to be in tech.
Brian Bell (00:07:21): That’s when I graduated as well. It was terrible. Terrible time to graduate.
Jared Goralnick (00:07:24): Yeah. And I realized why I wanted to do something. And I, I had this a lot, I had this hypothesis that like, I was very technical and I’d observed people around me that were non-technical kind of really struggle. This is when people were starting to get into web search. This is when, you know, Microsoft office was clearly its heyday. It was Internet Explorer. And I was just like, what if I could help people to use technology more effectively? you know, I ended up running a training company for the next eight years. And I’d say that was really that intersection of how do you help people to get value out of technology that can make their lives better. That was really, you know, 2002 to 2010 in some ways. And then my startup that was similarly in that direction. So ever since it’s always been how to use technology as a means rather to an end. And from LinkedIn onward, I’ve been really close to like the future of work so it’s been also directly in that space but yeah to me like some people just get excited about solving problems and building and i love doing that but for me where that’s really valuable is when i’m touching people’s lives and hopefully making them better and giving them time back to do things that are
Brian Bell (00:08:26): not just technology speaking of time productivity and work your co-founder told me that you appeared in tim ferris’s four-hour workweek book that definitely changed the game of productivity what’s what’s the context there what’s what’s the backstory
Jared Goralnick (00:08:37): My first company, as I mentioned, was Training. It was a services company. And around 2006, I should have been involved in blogging when it started to be a thing. I mean, I was blogging earlier, but I started to get really serious at it. That was when I started to learn. I was in the East Coast, in the DC area, and I wasn’t in Silicon Valley where everybody was talking about building products. That was when I started to think about that world. I started to get really active in online communities. And I had a blog called Techno Theory, which was one of the top 10 blogs and productivity. And I wrote for Lifehacker and ReadWriteWeb and a bunch of sites. And as part of that, I started hearing about Tim Ferriss being in the productivity community. And so I didn’t make it into the first version of his book, but what happened was is in his book, he made this thing called the Dreamline spreadsheet. Well, I guess, yeah, he’s actually called it the spreadsheet. And it was just this way of like figuring out how you can achieve your goals by like mapping it out, using some math. And he kind of had this very rudimentary basic way of explaining how you build the table. But our company, we were both training and like tooling and automation, particularly around Microsoft Office. We were some of the best people at Office in the world, which doesn’t sound sexy, but like it’s where people spend their time. And that’s what mattered to me. So we built a spreadsheet and I put it on that blog that I had was pretty popular. And in subsequent versions of the book, he both linked to that and also put like a page in there about me and about how we’d applied some of the lessons. So that’s the story. But we got millions of downloads of that spreadsheet. And it was sort of my first like popular product, if you will.
Brian Bell (00:10:06): That’s amazing. I also hear you’re an avid camper and you have lots of gadgets. Tell us what are your top two or three gadgets that everybody should have or your favorite gadgets for camping?
Jared Goralnick (00:10:16): Well, there’s the accessible gadget and then there’s the crazy ones. The accessible one is there’s a product called OutIn, which is this little espresso maker that you can carry around. It’s like, you know, it doesn’t look very different than the size of a typical, you know, a thermos or whatever, a water bottle. And what you can do is you can put either an espresso capsule in it, the original line, or you can put in just some coffee, you know, ground up. And it makes really good espresso and it’s, you know, USB-C, just battery powered. I got it initially for camping, but I will say that now when I’m driving, I don’t have to pull over and stop for my caffeine fix. I bring it with me when I go to conferences if I’m not sure they’re going to have espresso because I’m a big espresso drinker. So yeah, I use that thing several times a week, even though we have it at home.
Brian Bell (00:11:00): I use the AeroPress, kind of my favorite. You probably couldn’t do it driving, but it makes really good coffee.
Jared Goralnick (00:11:05): Yeah, it’s the lack of grounds and the fact that I actually believe that Nespresso coffee is quite good. I’m sure some of your listeners are going to disagree that like Nespresso, how that compares to like the real deal. Coffee.
Brian Bell (00:11:16): That’s great. It’s great coffee.
Jared Goralnick (00:11:17): Yeah, I really like particularly the original line. So anyway, that’s that’s one of my favorite camping espresso machine. I used to always have to bring like those cold like Starbucks espresso things with me in my cooler. the much less accessible or at least not for everybody is we have a um as large as you could buy rooftop tent for our for our rivian and that cool i mean the game
Brian Bell (00:11:38): with we have the r1s you have the whole the big suv okay yeah how do you like that
Jared Goralnick (00:11:44): the name i love it i mean and it’s self-levels so when you have rooftop tent like you can park a little bit you know off-road if you will and it’s totally the whole
Brian Bell (00:11:52): family in that tent
Jared Goralnick (00:11:53): So we can’t fit the whole family, but we can fit any combination of three. So my wife and I, one kid or two kids and me, et cetera. But really what it does is it, it just makes it fast. You know, there’s no cleanup. There’s no sit down. It takes one minute to put up. It takes two minutes to take down because the name of the game, especially with kids is just like fast, fast, fast. If camping is something that takes a long time, you’re just not going to do it as often. You’re certainly not going to do a one night thing. So between that and having a kitchen that we put in the car and then like We also have it set up. So when the kids are older, they’ll be able to sleep inside. We have this like bed inside that. So anyway, yeah, it’s like trying to turn the Rivian into the adventure vehicle.
Brian Bell (00:12:28): That’s really cool. We have two Teslas and a minivan because we have three kids, as you know. I’m thinking instead of getting another Model 3, I think I’d get like a Rivian. I think they’re going to create a compact SUV. I don’t think I need the full size. But I go dirt biking with my friends and we camp and stuff. And so having something like that with the tow hitch for the dirt bike and et cetera.
Jared Goralnick (00:12:48): Yeah. I mean, with your size family, an R1 is not terrible, but an R2 is, you know, it’s more like a midsize SUV as opposed to large. R1S isn’t quite like Escalade territory, but it’s big.
Brian Bell (00:12:58): It’s a pretty large, luxurious SUV. Yeah.
Jared Goralnick (00:13:01): Yeah.
Brian Bell (00:13:01): yeah we had the honda pilot on a three-year lease and nobody drove it because it was just it was just ginormous you know and it drove like an suv similar yeah but
Jared Goralnick (00:13:09): for camping it’s it’s really fun for that especially if you’re gonna go off-road and i’m not saying we do enough with that the leveling is probably the best part for us but it wins some that’s really cool yeah the leveling’s key uh that way
Brian Bell (00:13:21): you’re not like waking up in the middle of the night and the blood is rushed to your head or your feet or something Speaking of LinkedIn, I mean, that must have been a masterclass in feedback loops, network effects, incentives. What’s one product lesson from that experience that most early founders underestimate?
Jared Goralnick (00:13:35): So I mean, LinkedIn was the first job that I had where it was a marketplace. And I think that The learning with marketplaces is that if you want to do something on the demand side, this is going to sound obvious, but you need to make sure that you have enough supply or that you create liquidity for whatever the feature is you want to test from supply. It’s different than with, there’s certain product features you have where it’s like, I’m just going to add this thing and every user can suddenly benefit from it. When you’re working particularly with Marketplace or in my case, you know, Marketplace Match, like so LinkedIn Recruiter was our product and it helped you to passively source candidates. It helps you to reach out to people like me or something if you’re looking for another product management job. You know, for it to be useful, you need to create those signals on their side. So like the most impactful feature that I was that our team built was the open to new opportunities flag, something that you now see very publicly on people’s profile.
Brian Bell (00:14:36): Open to work. Yeah.
Jared Goralnick (00:14:37): For years, it was not public. And even today, I don’t know the numbers, but I assume most of its usage is still not public.
Brian Bell (00:14:46): It’s a good flag for me that this person’s probably not a good LP. If it’s public, you mean? Yeah, yeah. When I go visit somebody’s profile, it’s like, open to work. I’m like, oh, you probably don’t have money then to invest in my fund.
Jared Goralnick (00:14:56): fair enough yeah i mean and that’s the whole thing it’s like i mean i think the pandemic changed some of the quote stigma around um whether you share that that badge but the private signal was incredibly valuable for recruiters but you had to you had to build liquidity for it you had to first get people to to start raising their hand and that takes six months so i think that’s one of the first things i will say though that like when i went to upwork that was the first job i had where in addition to it being a marketplace and being very data-driven it had a much faster feedback loop. So at LinkedIn, you’re waiting for people to get hired. And that actually really means updating their profile. And we could talk about things we did to try to move that signal earlier or predict it, but fundamentally it was a long time. Whereas at Upwork, you have people that are doing jobs that they might do two jobs in a week. They might do a $50 job. If they accept a job, even if it’s a high value job, like it’s going to transact on your platform. Like even if they leave later, you’re going to get the first checks in. So you really have the entire journey of activity through payment. So you just have much, much better feedback loops. So for all the data orientation that LinkedIn has or had, and to be clear, like they were very much like leading the industry, especially on things like machine learning. just didn’t have the kind of feedback loop that companies like upwork or obviously meta have that was that was really what was and i don’t know if that’s like a lesson learned or just like an observation but it really it really changed the nature of of what kind of opportunities they have so i think that like when people hear about targeting goals as like one of the main things i was a product manager for a long time it’s just very different when you’re in a company when you can have those you know really good feedback loops or when you’re building things that are really early in the funnel where there’s a lot of volume Whereas in the jobs I had before that or after that, a lot of it was more, you know, kind of enterprise or later in the journey. So you have to be a lot more careful about how you design for sort of goals when it comes to data, since, you know, it just takes a long time. And also leading indicators, while they are earlier in the cycle, they don’t always, you know, they’re predictive, but they’re not guaranteed to like get you a purchase or similar.
Brian Bell (00:16:54): Yeah. Shout out to Upwork. I like to tell people Team Ignite runs on AI and contractors and a lot of most of those contractors come from Upwork. So I’m a huge fan of that platform.
Jared Goralnick (00:17:02): It’s the best. Yeah.
Brian Bell (00:17:03): Yeah. So it’s really great. So as your scope expanded, what changed in how you made decisions less features and more systems design?
Jared Goralnick (00:17:10): Excuse me. Great, great call. And just to give context, like at Microsoft, I was like my first PM role. Then eventually I led PMs.
Brian Bell (00:17:18): What year was that at Microsoft? Yeah.
Jared Goralnick (00:17:19): I was at Microsoft. You know, I’d like to take credit. I joined when it was $30. I joined within months of Satya.
Brian Bell (00:17:25): Nice. Okay, great.
Jared Goralnick (00:17:26): So early 2010s, basically. Yeah, 2014. And then I stayed on at LinkedIn. So I had all this, like, yeah, I just, it was a very, very lucky that I joined Microsoft at 30 and left it.
Brian Bell (00:17:36): Yeah, nice work. I joined at about 100 from Amazon. And then, you know, of course, it’s up to like 400 now. So
Jared Goralnick (00:17:42): Totally. I wouldn’t be in this house. So, but yeah,
Brian Bell (00:17:45): no,
Jared Goralnick (00:17:45): I joined Microsoft and that was my first like product management opportunity because I’d been a founder and CEO and I’d led product, but didn’t have the grounding in it. You know, LinkedIn was the first time I led like an entire product group, not just sort of mobile, which is what I did at Microsoft. And then at Upwork, I was a VP. And then in my subsequent ones, I also led the entire product organization and like, you know, did presentations for the board, part of the CEO. So like with each of those things, when it came to things like strategy and goal setting, you know, I played not just a part, but ultimately had to really drive it. And what you realize in that is, is like, for starters, it’s all about communication. It’s all about being really clear on what, you know, what the target is, why the target is, what are some of the swim lanes, as opposed to, you know, saying, like, here’s a feature, like, obviously, taste is important, and you should pick what some of your bets are. But the further I got kind of in my career and scope and teams of teams and all of that, the more it was like, how do you just make sure everybody’s aligned and clear? And how do you make sure people can see that their work ladders up? You know, that’s not just true for product, but obviously across all of R&D and ideally even the rest of the company. So yeah, I think that was really the big difference is when you’re empowering others, when it came to decision-making, it was really about picking strategy, setting lanes, and then defining how people can be successful in terms of what the leading indicators. So it’s less about, does it fit? And it’s more about like, or rather it’s less about, is it a feature that we support and more about like, how does it align? So it’s about fitting in a system and measurable impact. So that’s really about how decision making changed as things went further along.
Brian Bell (00:19:24): So obviously with your 360, this isn’t your first rodeo as a founder. You’ve been a founder before. What lessons from your first experiences as a founder you’re fixing this time around?
Jared Goralnick (00:19:34): Gosh, so many mistakes because it wasn’t just, you know, it was my first, I mean, now I’ve been in big tech. So yes, it was my first time building a product company. Very much learned things the long and hard way. I guess there were three lessons from Away Find that I very much have taken a different approach on with your 360. So the first one I would say is market size. We were going after email productivity. We were a tool that would notify of urgent email. So in some ways, that’s a big market. But in other ways, it was very much like a personal individual user kind of thing. And to get people to kind of pay for that, if we weren’t able to find a B2B approach, which you didn’t in many ways ever really pull off, like It wasn’t a huge market. And we could debate about whether like obviously companies like Superhuman have been very successful. Most of the products in this space, like the boomerangs or the Sane boxes or other apps have been good businesses from like a single digit millionaire perspective, but certainly not the unicorns that are very much the exception of like the Superhuman Grammarly thing. So I think market size was one of the big ones. I wanted to pick something that already had people spending real money on it with a real problem. The second one is even though I started that business having that big blog that made me very much a market leader in terms of productivity, which is the space I was in. So I very much had a voice, which today, everybody would say that’s the way to do it. I did a lot because it was what I’d always been doing. I didn’t do a lot when it came to growth experiments because I knew that I had to do it. We never did trade shows and we didn’t do ads really. One of the big lessons that I have for other entrepreneurs is like understanding kind of the power of the month and in terms of how expensive it is to go and pay for a whole month. So if there’s ways you can front load some of your costs, particularly ones around experimentation, then it means you’re not paying for the whole company to get to the conclusion of all those experiments. So like as an example, if let’s say your burn is $50,000 and you could run one experiment a month for a within that cost, or you spend $20,000 in January. Now you spend $70,000. We have the results of those growth experiments in February or March. And now you know which ones to double down on. So like I’ve in both companies, your 360 and away find like got us to be like relatively talented engineering team that could build stuff. That’s cool, but you need to increase your experiment velocity, particularly around things around acquiring customers, creating revenue, expansion, things like that. So this time around, very much like front loading those experiments, because even though it costs more money now, it means I’m not going to have to wait till like six months from now. And obviously once we find the right channel, it’s a different game, but like certainly experimenting early. And then the third lesson, I guess, would just be on the platform side. And we were early to mobile and like we built a product that would send you text messages and voice calls because there weren’t apps yet. When we first launched, there wasn’t an ecosystem. I mean, there wasn’t an app store. So obviously we built apps and so forth, but like ultimately our product was such a good idea that, you know, much like those early, I don’t know, flashlight apps or whatever, you know, like it became part of iOS and part of Android. We were also early to algorithms and we were like before the transformer doing like stuff that ultimately became product priority inbox. So we did things that were really great ideas, but they became great free ideas for, for, you know, Google and Apple. so there was a the ground shifted underneath us so while you can’t obviously like predict exactly what’s going to happen in terms of platform shifts i very much had a thesis about what ai ideas are defensible and which ones are just going to be replaced by the likes of you know open ai and anthropic very much took an approach
Brian Bell (00:23:09): to that yeah i love that so what’s the origin story behind year 360 what is it and kind of tell us about that transition into actually working on it
Jared Goralnick (00:23:17): Sure. So your 360 is a voice AI that acts like an executive coach and it interviews the people, it interviews you and the people you work with most closely to get you feedback, feedback that, you know, helps you understand what are some of your strengths or superpowers and, you know, what are some of your growth opportunities or blind spots. And it is modeled after what would happen if you had access to, you know, and $10,000 to spend on an executive coach. But it’s, of course, done through voice AI, far less expensive and faster. And then we take those same insights that come from an individual and we can aggregate them across a team or across an entire organization. So you can find kind of these bottom up hotspots in terms of like, here are some strengths, your company or your your team and here are some of your areas you might want to work on so we do all of that it’s done all through through voice ai um and very much the origin story i’d say is you know it’s a couple parts like i’ve been in the future of work for 10 years now um very much wanted to work on like my what gets me excited is how do you help people to be the best version of themselves at work that’s always been very much my passion um and i wanted i knew i wanted to work in that space i also wanted to work on something where ai was going to really change the playing fields and voice when it comes to capturing information from people i mean it’s just completely different like if this was a chat between you and i you would have lost me i would have lost you and all of our readers would be gone right like it’s just different Whereas in conversation things, you know, you can just capture a lot more, you can deliver a lot more, you can provide context, you can guide people through things. So I knew that this would be transformative. And then also with context windows growing, you know, suddenly you could, you could get much, much richer insights. But again, it was sort of that like bleeding edge of context windows grow expanding. So those two things, as well as all the orchestration layers that are now available. have just made it possible to really change the nature of these sort of multiplayer feedback capture delivery and insights yeah and one of the things that strikes me
Brian Bell (00:25:12): about this is kind of the the market size i’m sure i’m sure you took a look at the market size as you started to build and sort of think about the idea walk us through because that was one of the things you wanted to change about your next startup walk us through how you were market sizing this this opportunity
Jared Goralnick (00:25:26): Yeah, so I think there’s, it’s a great question. I think there’s a few different ways to size the market here. There’s always like, here’s where the existing market is for the exact thing we have. And then there’s like, especially when you do something disruptive, like, and make it, you know, one hundredth of the cost of the existing thing. you know can can you expand into an additional rest of the market so you know there’s sort of two different types of of 360s generally there’s sort of performance based and developmental there’s a lot of blurred lines but like performance is your annual review and developmental is you know generally it’s when like a coach leads it or you have like a new manager training and there’s some sort of developmental 360. Those developmental ones are all in the thousands of dollars. And the performance ones are available to everybody, but they don’t really work. And, you know, there’s not a lot of growth that usually comes out of it. Well, under 20% of people say that those are actually effective for figuring out what you should do with your career. And when your manager’s delivering a 360, they’re both judge and jury. They, you know, are responsible for your compensation. They’re responsible for your placement. They’re responsible for your promotion. So, you know, you’re not in a safe place to... To ask the hard questions to figure out how you can, you know, work together and coaching and development is all about it’s like anything else that’s hard, you know, you have to struggle through it a little bit before you get to the other side. And we don’t like showing that quote weakness, which isn’t really weakness, but the struggle, you know, when we’re with the person who’s responsible for all of our livelihood in some ways. So we felt from a market size that for starters, the exact thing that we had in terms of developmental 360s was already, you know, very much a, you know, a billion dollar market. Also roles were, you know, everything like this is the largest HR transformation, like work transformation ever happening with AI, like 2025 and now 2026 is just completely different expectations. People are changing. There’s fewer managers than before as well. So it’s just a perfect storm for, you know, how might we really help that transformation? And also, again, there’s that billion dollar plus market where we have a product that is substantially better and a very small fraction of the cost, depending on which version you’re comparing it to. So like we knew we had a good starting market, but where it gets really exciting is when you can reach just a lot more people, when you can get into that performance space in the sense that everybody does something every year, but do it in a way that is actually safe, do it in a way that’s actually developmental for these people.
Brian Bell (00:27:45): Yeah, I love that. The investor VC analogy is all the people who passed on Uber, right? Because they looked at it and they’re like, I don’t know, what’s the market really for a black car ordering system? But what I think they failed to realize is when you make it an order of magnitude cheaper and more convenient, the market size grows dramatically. And it sounds like that’s your hypothesis with Year 360 is AI, voice AI that can deliver this kind of coaching and feedback for a radically reduced price near the quality of an executive coach grows the pie dramatically.
Jared Goralnick (00:28:18): You said it better than me. Love it.
Brian Bell (00:28:20): Thanks. So, you know, and one of the key things that you said in there, I think you slipped it in there, which is the psychological safety, the design around AI as the interviewer and the transparency that the interviewee, the employee in this case, so that seeking feedback and development could speak more open. What surprised you most as you started listening to these conversations? What patterns, emotions and blind spots came up?
Jared Goralnick (00:28:45): So I guess I’ll touch on two things. I’ll touch first on like voice AI and sort of how it works just to give your listeners a little bit of context on it and then touch on, you know, what surprised me when it actually started to come to life with real customers. So first off, we are riding a wave of being comfortable sharing with AI, you know, like whether it be how we just spend time in ChatGPT throwing in company data or questions about how we should approach a situation with our partner or family or questions about our health. So like, I think that is something that we’re lucky to have been a part of. of where people feel like they can share but when it comes to to voice 360s or just coaching in the workplace the alternative is generally one’s manager maybe you’re lucky to have a mentor or peer you can trust but generally it is especially with capturing feedback nine times out of ten it goes through one’s manager and i already shared the the challenges with that around compensation placement and promotion So for voice AI, or just in general in capturing feedback, the ideal is to have someone that’s neutral, that doesn’t have a conflict of interest in terms of why they’re trying to help you, where their motivation isn’t for their own promotion or for the company’s bottom line, but is instead for developing you. So having a coach in the middle, in our case, a voice AI coach, makes a tremendous difference. Now, where voice AI comes in for that is both in terms of how we can capture things more effectively than a survey and also just capture things more effectively than a manager. So for starters, when it’s with voice, people tend to be expansive. They’re not sort of self-editing. And also the AI is able to very much probe in terms of taking their feedback and making it much more specific and actionable. And it can ask questions like, well, you know, why is this important for Brian to work on this? How is it going to help his podcast? How is it going to help his fund? What would you do if you were in his shoes, things like that. So you can really get probing and personalized. So the capturing is much better for starters. And then in terms of the delivery, you know, the coach can walk you through things in a way where they can really help you to reflect on things. And that’s It’s helpful for the growth areas, but it’s also really helpful for strengths because if you don’t really spend time working through the areas where you are a rock star, then when you get to the negative stuff, you don’t have any foundation upon which it’s built. And no surprise, many of our growth areas are also things where it’s just a flip of the coin in terms of our strengths. And our voice AI coach is very good at helping people to see both sides of that coin and how they can leverage their strengths for their growth areas. And also to help them to take those growth areas as sort of like as a gift, you know, like that, you know, when you receive a gift, it’s the thought that counts. It’s not the fact that it’s the perfect gift for what you would have bought if you had 100 bucks for Amazon, you know, so how do you choose what to actually work on and just say, Hey, certain things. No, this doesn’t, this doesn’t matter to me, or I should outsource it to Upwork or whatever, you know, it really puts things in context. So that’s, that’s really where a lot of the safety comes in. And that’s where voice AI is particularly well. And it’s not different than really a coach. It’s just that it is far less expensive. And I guess it’s also like, doesn’t beat around the bush. It goes, there’s no small talk. It’s just immediate. And then I’ll get to your surprising thing, but look like you had a question first.
Brian Bell (00:31:49): I have all kinds of questions, but yeah, go ahead and finish.
Jared Goralnick (00:31:51): Okay. So on the surprising thing, you know, when I first, when we first built this product, we knew there was going to like that, that coaches debrief on three sixties and that like you have a three times greater success rate in terms of people feeling an impact if, like it goes from like 30% to like over 90% when a coach delivers 360. So that’s really important. But I was nervous about that. Like there wasn’t some sort of analogy to like just voice mode on ChatGPT. You know, this was an immersive experience where somebody’s talking over a document and it can take a while. So like we based our methodology on kind of like Hudson Coaching Institute on one of our advisors, Rebecca Glenn, who like literally wrote the book on this on Interview 360s. And she recorded the first 360s that came out of our product, where she would deliver them to those recipients. And we would record it over Zoom, and then we would base our AI on it. The very first time we put somebody through it, besides me going through it, I just really didn’t know what to expect. And the product cut out at 60 minutes. And I didn’t know why at first. And we realized that she was talking, our coach, Coach Tam, was talking to this recipient for more than an hour, but we had this hard limit in our product at an hour. We just never thought, it didn’t even cross our minds that people would want to spend more than an hour talking to a voice AI. But since then, it’s gone well past that. Most people are like 40 minutes, but... you know, we had somebody do over 90 minutes this, this, uh, like a week or two ago and like, yeah, it blew my mind. So that was what surprised me is that, you know, it’s, it doesn’t take very long to like, listen to the coach talk over the 360, but it does take a long time. If you want to share lots of stories and you want to be vulnerable and you want to ask a lot of questions, which is what in theory you do with a human coach. And they are very much doing it with our coach. And that absolutely blew my mind. I mean, the reason we’d did this is for people to have transformative experiences, to have far greater self-awareness you’re going to get from like a Briggs or a big five or a five dynamics, you know, but we didn’t know like that we would get to see it so vividly and so early. And yeah, it just far exceeded expectations that people really, if you want to grow, then you need to, I don’t want to say struggle again, but you need to, it’s called meaning making and coaching. You need to make meaning from this information and You can’t just gloss over it. You don’t just want it to send you to a dark place from the negative feedback. And you don’t want to just put it on the shelf and just ignore it. So the fact that they were doing that and from our very first version. Yeah, it’s we’re delighted.
Brian Bell (00:34:17): That’s amazing. And Coach Tam being the actual anthropomorphizing the actual AI here. The name of the AI is Coach Tam.
Jared Goralnick (00:34:24): Exactly.
Brian Bell (00:34:26): How does it work? So for some people listening, they’re probably thinking like, wow, this sounds really cool for my company. What’s the implementation look like? How many colleagues do I need to be interviewed? Yeah. How does it all work in practice?
Jared Goralnick (00:34:38): Yeah. So we have two products. We have the individual 360 and then we have kind of the team and group insights that go on top of it. But it all starts with that individual 360. and it’s a three-step process where you talk to the coach and you share some of the you know a little bit about yourself your current role if you know what you’re working on you can share it if you’re not sure you can kind of talk about it and figure it out together and then you like again you could just choose who the colleagues are that you give feedback or she can help you you know a lot of times companies are assigning these to folks and they don’t they haven’t thought about their growth areas or why they’re doing this or you know who they should ask so the product can really help you with that and And for individual contributors, for ICs, we recommend four people so that you can have sort of anonymized feedback amongst one group of those three and then attributed feedback from your manager. And then for managers, we recommend seven so that you can have like all your direct reports can count as one group and you can get some feedback. So you don’t know which direct report, but you can anonymize that. And then similarly, another bucket and your manager and the more feedback you get the better so like like we’ve let people through with three that’s like the sort of bare bare minimum but the more feedback that is captured the more you can feel confident that there’s a pattern and that’s really the issue so it’s not just about getting feedback it’s about believing in the feedback and that it’s not just a one-off, that it’s not one person that’s just having a bad day. So it’s those patterns that, you know, and that’s what makes our products so different, you know, and other products are pretty much every product in the market before voice AI, you know, pick your competitor who I won’t name. They’re very quantitative based. So the only patterns they can do are just, you know, you’re a 7.4 average. Oh, great. Well, what is 7.4? You know, nobody standardized these Likert scales. Whereas for us, we can say, well, no, everybody says that you tend to interrupt in meetings or that you talk over or that, you know, you don’t have time for developing your,
Brian Bell (00:36:36): you know,
Jared Goralnick (00:36:36): whatever it happens to be, we’ll find those explicit patterns and really raise them up. There’s not a lot of room for interpretation in there. I mean, obviously, you still get to decide what matters and how to take it. But like, it’s just much more clear. So anyway, that’s step one was the onboarding. Step two, you know, where you talk to the coach. Step two is where we collect the feedback. It takes about 15 minutes per person that’s giving feedback. They can either do it over the phone or they can do it through a web interface. And then step three is where we do a debrief. That’s where I mentioned that 60-minute experience where people talk to our voice AI while she walks them through that report. And, you know, I don’t want to say force, but like, Yeah. Like she has an agenda and it’s going to be, you’re going to think about your strengths. You’re going to reflect on how awesome you are before you get to that next section. And we cover three things. We cover the, your strengths, your growth areas, and then also any area that you probed on or that you’re company probed on so if you’re working on presentations for the board if you’re working on a culture of inclusivity if your company says we want to know which value brian you know exemplifies most at his company you know like those types of things we we bring that into that last section and as you’re hearing like all these things can also be kind of customized by companies in terms of if they skip some of these stages or if they do it differently or they customize it But the core of it is like that three step process. That’s the most developmentally sound process that’s happened for more than 30 years with executive coaches.
Brian Bell (00:37:59): That’s amazing. So one thing you probably experience as you sell in enterprises is, you know, questions around your SOC 2 compliance and your privacy and data retention. And where do you think the industry gets this wrong? And how are you guys thinking through this issue?
Jared Goralnick (00:38:12): Sure. Yeah, great question. So, I mean, there’s kind of two frames to this. So one part of it is how a customer manages their employee data, since this is, you know, people stuff, right? Like this is people’s careers. Like this isn’t just, you know, how you manage your IP, right? And the second side of it is how we as a company manage data. And I think that the first one’s actually more important in the sense that, You know, when people are sharing, it’s really important that they understand the context in which they’re sharing. This is both people providing feedback in terms of how is this going to be used and also that, you know, recipient that’s walking through that experience knowing that they can share openly and that it’s not going to be used against them. We, you know, but that being said, people sometimes do use this where they share it with their manager or they might share with HR. They have different purposes. We were talking to a customer today who has a 360 process where they don’t even have like the employee necessarily see it. And as a matter of fact, I don’t know about you at Amazon, but certainly me at Microsoft or LinkedIn or Upwork, you know, people called it a 360, but feedback went to the manager and then the manager filtered what they want to
Brian Bell (00:39:16): the employee. Yeah, we did this. I was at Microsoft 2019 to 2023.
Jared Goralnick (00:39:21): Yeah,
Brian Bell (00:39:22): and I was manager there of a pretty large org and so pretty familiar with it, both from being an ICE there and a manager. And we did the 360s of head of people conversations, but they were very much surveys, right? And it was up to the employee to go out and gather those and they were submitted in some portal and the manager would read them and say, this is what your peers said, you know?
Jared Goralnick (00:39:43): Connect, actually, I think Microsoft had that. And Microsoft is kind of forward-looking because Connect was developmental. But because of these different use cases for it, what’s most important is that we allow our customers to kind of set some of the ways they might use it so that when we capture feedback or when people interact with the product, they know that that’s how it’s going to be used. So the most important thing when it comes to how data takes place for people data within a company is that You’re transparent about it as opposed to just, you have only one setting, but then you use it in a way that’s, that’s contrary to it. So we give customers some of those options so that they really understand how this data is going to be used. And then the second part of it, you got into compliance and SOC 2 and data retention. We have a privacy policy, of course, where we talk about how long we hold on to the recordings through the life of, you know, while they’re going through the process and then a short period after and how long we hold on to the transcripts and so forth. And for companies, if they want to shorten some of those things, we can. But really, it’s all designed around How do we make sure we have that information long enough for us to use it to make sure that you have the most accurate, truthful information? And also, if you want to run a subsequent process, that we can utilize that so you can sort of show whether there’s been growth. We don’t use data from one company for another company in terms of any of the content. The only thing that changes over time is we get better at those calls. So like if we have evals that pay attention to all of our calls and also sort of as regression tests to make sure we make changes that It works against representative calls. But all of that is really about making sure that the process works, the actual data. As of now, we’re not doing any benchmarking of product managers or mid-sized companies or whatever. We might do something like that. And of course, we’d pay attention to how to anonymize appropriately. But in general, the substance is not anything that gets shared across borders. It’s really just making sure that it works.
Brian Bell (00:41:41): Lots of founders that listen to this podcast. What’s the biggest trap they fall into when building an HR tech?
Jared Goralnick (00:41:45): I think the biggest challenge in building an HR tech, this is true of founders or anybody kind of new to the space, is that we that are sort of drawn to this space are not necessarily like everybody else. We are often lifelong learners. We might be the kind of person that would take a Coursera course or whatever. maybe even read the manual, right? That’s just a small portion of people that are willing to take the time to develop personally. The learning space in particular is generally more of a vitamin than a pain pill, right? I mean, if you’re doing something with a compliance angle, like you’re You know, if you’re in medicine, and you need to stay up to date on safety procedures, or if you’re a forklift operator, you need to how to move this, you know, and pass that test. Like those, those are ones where people both respect it and understand it. There’s other compliance things that some people don’t always agree with. But fundamentally, If you’re not in compliance, then learning is something that it’s just hard to get people to do. And it’s well under 10% of the population that is going to be motivated. So what that means is that it’s just a harder space. You have to recognize that whatever that kind of N is that you’re multiplying to have the right unit economics, that it’s going to work out. So it’s sort of like how I mentioned with our coach that people spend 60 minutes Some people will spend 25 minutes and they’ll just get through it. And it’s to them, it’s a rote activity. And while that is thankfully the exception for who’s used our product, like I totally get it. Not everybody is, they didn’t sign up for it. Someone else in their company did and they are getting some value out of it, but it’s just, you know, you get out what you put in, but at the same time, it’s just not, it’s just not for everybody. So I think that’s the, That is the the challenge that that when people enter the space, they’re just they may be a little bit naive about everybody’s desire to self improve. And that’s true in productivity as well. Obviously, with productivity, there are certain productivity tools you have to use like Slack, but like a lot of the productivity tools that are more like better task management or email productivity or whatever those those are nice to have as well. And that can be challenging.
Brian Bell (00:43:53): Let’s talk a little bit about the future. So, you know, management is changing. AI is absorbing tasks. Roles are getting reshaped. What are, you know, new career survival skills that matter most in the next three to five years?
Jared Goralnick (00:44:06): Great question. There’s obviously the like, you need to work better with AI thing. So I’ll sort of spare you there. Everybody needs to be current with it. Everybody needs to get comfortable. I mean, some of the things that matter most are how you translate between stakeholders, how you work with people, how you have the soft skills. to navigate an organization and work with conflicting priorities and conflicting goals, which is related to another thing, which is just being able to prioritize. So if you are somebody that can tease what matters out of the room and across and among And also with like all these different data sources of types of feedback or, you know, requests, even if it’s just from your boss, even if you’re not like a product manager, you’re just told one thing to do, being able to filter for the thing that you think is going to make the biggest impact. Now using, of course, AI to help you with that, but ultimately you’re the decider on that. Those are some of the things that really matter. And another thing is, is, is bringing things all the way through being an owner. So if you’re the kind of person that can not just get things to the idea, you know, from, you know, through the idea stage or to the prototype, but can really get well past the AI slop and actually bring it to something that’s going to, going to matter in the market, that’s going to resonate with people, you know, that, that last 5% that goes from what is like sounds good to what actually is good. You taste a lot when we’re talking about AI, like that, that really matters. And when it comes to, you know, what I advise of folks is, is generally like, how can you be a spiky generalist? How can you be the kind of person that understands wide enough to be able to like get something to the finish line where they understand every element of it, but also has a particular area where they’re really, really strong, where their taste is the sharpest. And hopefully that correlates with the value of whatever is, whatever is happening.
Brian Bell (00:45:50): So as you put yourself out there five or 10 years in the future, imagine you’ve built everything you wanted to build for your 360 or most of it. What does that future vision look like? You accomplished a lot. What is it? And what are you proud of?
Jared Goralnick (00:46:01): I don’t know about you, Brian, but I can certainly look back on some moments. Maybe I’ll ask you, I mean, can you think of a moment where somebody really created an inflection in your career where there’s some feedback you received that changed something for you?
Brian Bell (00:46:13): No, because I never stuck around long enough to hear the feedback. Because if something wasn’t working for me, I would just quit and try something else. And so I always kind of listen to my internal compass a lot more than what people are saying. Yeah. And maybe that’s a weakness, actually.
Jared Goralnick (00:46:27): Well, I can say like there’s been some moments. It’s not most moments, of course, but every few years there’s something that someone shared with me, whether it be feedback for me or advice on how to work with the situation. where it really changed how I approached, you know, kind of my career or really changed how I approached some of my, how I showed up. And what I want is 10 years from now to look back and say that your 360 did exactly that. for millions of people to be a product that didn’t just, quote, do its job and show ROI for companies, but one where people said this was really their inflection point. And we’ve talked to a lot of our customers where that’s very much been the case. And I’ve talked to a lot of people where they’re 360 sometime in the last 20 years, it did that for them. And that’s That’s really our ambition is to bring that kind of feedback to not just the people who are lucky enough to get provided a really great unbiased developmental 360 from their company that cost thousands of dollars, but to really bring it to all of the workforce. That’s our ambition.
Brian Bell (00:47:32): Yeah, I love it. Well, let’s wrap up with some rapid-ish fire questions. I say rapid-ish because you can take as long as you want, but what’s a belief you held strongly as a product leader or founder five or 10 years ago that you have now rethought or you’ve changed your mind on?
Jared Goralnick (00:47:45): know if you asked me this a few years ago i probably would have just talked about the revolving pm role or something which is what i was doing but now it’s hard to answer this without you know talking about oai is changing the nature of work and i’d say two things have really changed one is obviously roles have collapsed you know designers are doing product product is doing design and engineering engineers are doing product you know this whole builder hiring thing that we talk about with like LinkedIn is hiring these PMs that are builders first, if you will. So I mean, like, I think that, you know, I was, again, a product leader for a long time. And I think that the core responsibilities in that space remain around things like accountability without authority and prioritization and tracking toward results. But really what’s different is, is, you know, that ownership was went from here as a spiky generalist to like all across so that You know, you need to be a toe stepper today. Like before, it might have been like a cultural value at some companies that you kind of step on toes every once in a while. But now, if you know, you’re not putting together some designs as part of your work, or if you’re not shipping something that shows how it really works, you know, pick the equivalent of that across all of the functions, then you’re just you’re not you’re not either general enough or you’re not spiky enough in terms of doing those things. And then I guess the second thing that I think is really different, I think people could get away before with being non-technical, but now we have to kind of change our opinion of what that word means. So, you know, last year, I think of 2025 as the year of AI being real for R&D in the sense that like there’s nobody that would want to use an IDE like cursor, you know, VS code or whatever without having AI assisting in it because it just 100% of people will get value out of it. And I think that in the, you know, back half of 2025, prototyping became a lot more real. Design and PM, you know, got a lot more real, not just like pasting something into chat GPT, but like real workflows. I think that there was a lot of sizzle though in 2025 when it came to go to market and to company operations. I think this is the year where that’s going to become and has started to become real. And part of the reason for that is that, you know, the reason why things like cursor and, you know, whatever was before, you know, wasn’t accessible is because you still needed to have some understanding of kind of that taste applied to code because you needed to understand like what the diffs mentioned and understand what was happening. and now because the quality is getting there you know with tools like cloud co-work you just you don’t need that anymore so people are going to actually be able to to trust that the quality is of a high enough level even quality around things like communication and outreach obviously personalization and things help but Yeah, just fundamentally, 26 is about the rest of the organization bringing AI to life. And that means that you don’t necessarily need to be truly technical because, again, you’re not. So you’re looking at code. But it does mean that you need to think about how you connect processes. It means you need to try things you haven’t tried before. It means just going outside of your comfort zone with something that may not be hard technology but is technology. And I think that that’s harder. You know, it’s somewhat expected when you’re an engineer. But it needs to be everywhere.
