EP. 23- Stop Automating Dysfunction: The Pre-Sales & GTM Evolution with Investor Mark Nix
Pre-Sales Unplugged: Leadership Playbook · 2026-06-24 · 53 min
Substance score
41 / 100
Five dimensions, 20 points each
Mark Nix, an investor and veteran of 25+ years in enterprise software, discusses how companies can avoid automating broken processes and the patterns he sees repeating across technology cycles. He covers technology adoption curves, what makes a company investable, and how founders should approach scaling without automating dysfunction.
Key takeaways
- Most failed technology deployments are process failures, not technology failures - companies must fix processes before automating them, not automate broken ones.
- When evaluating startups, look for companies with actual customer traction or development partners with signed letters of engagement, not just unproven ideas.
- Sustainable differentiation comes from successful customer experience and outcomes, not just AI features which are rapidly becoming table stakes.
- Founders should rely on mentors and external advisors to see the full picture rather than staying trapped in execution details and making repeatable mistakes.
- Technology cycles follow predictable patterns of excitement, capital investment, FOMO, inflated expectations, and consolidation - recognizing where you are in the cycle matters.
Guests
What our scoring noted
Our reviewer’s read on each dimension, with quotes from the episode.
Insight Density
There are a handful of genuinely useful distinctions - POC vs. POV, the pre/post-sales blurring via FDE roles, automating dysfunction - but the episode is padded with platitudes like 'people buy from people' repeated multiple times, and most segments stay at a conceptual altitude that adds little for a practitioner who reads industry content regularly.
most failed transformations and deployments are process failures, they're not technology failures
Proof of value takes that dramatically to the next level. Not only does the technology work, does the technology work using my data and my environment?
Originality
The episode explicitly leans on Geoffrey Moore's framework and rehashes widely-circulated SaaS wisdom (execution beats product, mentorship matters, AI is table stakes); the 'automating dysfunction' framing is catchy but the underlying idea - fix process before automating it - is decades old and not developed with any fresh angle.
I'm a big fan of Jeffrey Moore and his technology cycles
sustainable differentiation ultimately comes from successful customer experience that you can bring to the table
Guest Caliber
Mark Nix has 25 years of genuine pre-sales and ERP practitioner experience and holds an LP position at Stage 2 Capital, giving him credible operator-to-investor perspective; however, he never names the companies he led, cites no deals or outcomes, and his investor role is LP rather than GP, limiting the depth of insight he can credibly offer on either front.
spent about 25 years in the ERP space, and then more of kind of the platform low-code, no code
I'm a limited partner at uh stage two capital right now
Specificity & Evidence
The finite capacity planning manufacturing anecdote and the weather-tracking AI transportation example are concrete and useful, but dollar figures, named companies, win rates, and specific ARR outcomes are entirely absent; the one data point cited (700% FDE hiring increase) came from the host with no attribution.
an AI solution that proactively um tracks weather and notifies a transportation company of delays and they've got thousands of orders in WIP
finite capacity planning, which would take manufacturing work orders and optimize them into the perfect schedule
Conversational Craft
The host asks one solid follow-up (how do you actually test for teamwork in interviews) but routinely responds with 'that's very interesting' or 'totally agree' without probing, frequently pivots to sharing his own opinions at length, and includes a half-remembered Deloitte anecdote that he openly admits he might have wrong - eating time without adding value.
Do you have an example of maybe how you test that throughout the interview process in terms of the teamwork or executive presence
I need to remember the entire story, but they had written a sort of research for the Australian government
Conversation analysis
Computed from the transcript - who did the talking, and the verbal tics along the way.
Filler words
Episode notes
Give us Feedback on this episode Most SaaS leaders are betting big on AI right now. But here's the uncomfortable truth: most of those bets won't pay off. Not because the technology isn't real. Because the fundamentals aren't there. I'm sitting down with Mark Nix, an executive with experience leading crossfunctionally across Solution Engineering, Product Strategy, Product Marketing and more and now more recently a Limited Partner at Stage 2 Capital Venture. Mark has helped scale organizations from startups to global enterprises across multiple technology cycles, and he has a very clear-eyed view of what actually survives when the hype fades. We're going deep on: • How to evaluate real market potential vs. noise • Why business process matters more than technology • What most AI companies are getting wrong right now • How presales and the FDE model are reshaping enterprise GTM • And what Customer Value Realization actually means for the future of pre and post-sales If you're a CRO, VP of Solutions, SE leader, or a founder figuring out your GTM motion, this one is going to hit.
Full transcript
53 minTranscribed and scored by The B2B Podcast Index.
1 00:00:01,600 - > 00:00:02,240 SPEAKER_00: All right. 2 00:00:02,879 - > 00:00:06,240 Welcome back, everybody, to Presales Unplug, the Leadership 3 00:00:06,240 - > 00:00:06,719 Playbook. 4 00:00:06,879 - > 00:00:10,000 I'm Arvi Kirkhandi, I'm the founder of Elite Talent, and I 5 00:00:10,000 - > 00:00:12,400 primarily work with task companies to hire top-tier 6 00:00:12,400 - > 00:00:14,080 pre-sales and post-sales talent. 7 00:00:14,320 - > 00:00:16,079 But today isn't about me. 8 00:00:16,320 - > 00:00:18,879 Really, the show is about the leaders that are building the 9 00:00:18,879 - > 00:00:21,440 go-to-market teams, the pre-sales teams, and the 10 00:00:21,440 - > 00:00:24,239 strategies that actually work in today's market. 11 00:00:24,559 - > 00:00:27,120 If this is your first time joining us, one quick note 12 00:00:27,120 - > 00:00:30,320 before we jump in, these conversations, the conversations 13 00:00:30,320 - > 00:00:33,039 are live and unintentionally unedited. 14 00:00:33,200 - > 00:00:36,960 So what you hear here today is real and exactly how it 15 00:00:36,960 - > 00:00:37,359 happened. 16 00:00:37,439 - > 00:00:40,799 We stream it live, but you can obviously catch a replay on our 17 00:00:40,799 - > 00:00:45,280 podcast across Apple, Spotify, YouTube, or wherever your 18 00:00:45,280 - > 00:00:46,799 favorite platform is that you listen. 19 00:00:47,119 - > 00:00:49,679 And of course, if you do get value from today's conversation, 20 00:00:49,840 - > 00:00:52,479 just make sure to follow, subscribe, leave us a review. 21 00:00:52,719 - > 00:00:56,159 I honestly personally read every single one of them. 22 00:00:56,399 - > 00:00:59,439 And I also make sure that if there's any questions for our 23 00:00:59,439 - > 00:01:03,359 guests afterwards, to make sure to tag them on LinkedIn or get 24 00:01:03,359 - > 00:01:06,400 the answer for you so that I can make sure to share it. 25 00:01:06,640 - > 00:01:09,920 With that being said, today I'm super excited to be joined by 26 00:01:09,920 - > 00:01:10,719 Mark Nix. 27 00:01:11,040 - > 00:01:14,640 He's somebody with a very strong track record in the space. 28 00:01:15,040 - > 00:01:18,400 Not only has it been leading teams for quite some time, but 29 00:01:18,400 - > 00:01:20,959 he's also seen the investing side of things, which I'm 30 00:01:20,959 - > 00:01:23,040 actually really excited to dive into today. 31 00:01:23,439 - > 00:01:24,640 But thank you, Mark, for being here. 32 00:01:24,719 - > 00:01:27,599 I'm very excited to hear your story and just kind of dive into 33 00:01:27,599 - > 00:01:28,400 our topic. 34 00:01:28,879 - > 00:01:29,200 SPEAKER_01: Super. 35 00:01:29,280 - > 00:01:30,159 Thank you, Arvey. 36 00:01:30,239 - > 00:01:34,239 I'm very excited to be here with you and uh let's make it happen. 37 00:01:34,719 - > 00:01:35,200 SPEAKER_00: For sure. 38 00:01:35,359 - > 00:01:38,319 Let's have some fun and of course, you know, share value. 39 00:01:38,480 - > 00:01:41,599 Um, first things first, I'd love to just honestly start a little 40 00:01:41,599 - > 00:01:44,640 bit with your story so your audience can understand where 41 00:01:44,640 - > 00:01:48,319 you're coming from a little bit and how did you end up in this 42 00:01:48,319 - > 00:01:50,079 wonderful world of pre-sales? 43 00:01:50,959 - > 00:01:51,359 SPEAKER_01: Sure. 44 00:01:51,599 - > 00:01:56,159 So um academically, uh background is physics and uh 45 00:01:56,560 - > 00:02:00,000 real passionate about how things happen and how things work. 46 00:02:00,239 - > 00:02:04,079 Um I was in the sales space, actually, with sales uh for a 47 00:02:04,079 - > 00:02:09,439 small software company, and um we also had responsibility then 48 00:02:09,439 - > 00:02:13,360 for kind of the showing and demoing of the product, and that 49 00:02:13,360 - > 00:02:13,919 grew. 50 00:02:14,000 - > 00:02:20,159 Um spent about 25 years in the ERP space, and then more of kind 51 00:02:20,159 - > 00:02:25,919 of the platform low-code, no code, and went from big 52 00:02:25,919 - > 00:02:32,159 companies to um smaller company space and really had a huge 53 00:02:32,159 - > 00:02:35,919 amount of fun in uh the smaller company size, which has kind of 54 00:02:35,919 - > 00:02:42,639 driven me to some of the things I do now, and um evolved um kind 55 00:02:42,639 - > 00:02:46,400 of into uh the VC and investment space uh where I'm a limited 56 00:02:46,400 - > 00:02:50,319 partner at uh stage two capital right now, which is a super 57 00:02:50,800 - > 00:02:54,800 exciting uh company in uh in the space. 58 00:02:55,199 - > 00:02:56,000 SPEAKER_00: I love that. 59 00:02:56,159 - > 00:02:59,840 And Mark, obviously, you've been around for quite quite some 60 00:02:59,840 - > 00:03:00,080 time. 61 00:03:00,159 - > 00:03:03,039 Uh, you've been through a lot of different cycles in your career. 62 00:03:03,280 - > 00:03:06,159 Most people, I feel like, have only maybe lived through one or 63 00:03:06,159 - > 00:03:07,759 two of those cycles. 64 00:03:08,080 - > 00:03:11,280 What patterns have you noticed that repeat themselves 65 00:03:11,360 - > 00:03:13,520 regardless of the technology? 66 00:03:14,000 - > 00:03:15,439 SPEAKER_01: So, great question. 67 00:03:15,599 - > 00:03:20,479 I'm a big fan of Jeffrey Moore and his technology cycles and 68 00:03:20,479 - > 00:03:22,240 how people buy and things like that. 69 00:03:22,319 - > 00:03:25,599 But with that, it in the SaaS space, it breaks down. 70 00:03:25,680 - > 00:03:27,199 I break it down into a couple different things. 71 00:03:27,280 - > 00:03:29,439 So, first of all, the excitement level. 72 00:03:29,599 - > 00:03:32,479 Yeah, someone has a new idea that they think that's gonna 73 00:03:32,479 - > 00:03:35,120 fundamentally change how business operates. 74 00:03:35,439 - > 00:03:37,520 Sometimes it does, sometimes it doesn't. 75 00:03:37,599 - > 00:03:40,719 But if it gets traction, then there's always the big 76 00:03:40,719 - > 00:03:42,319 investment in capital. 77 00:03:42,879 - > 00:03:46,159 Um, and and that comes from a couple sides. 78 00:03:46,319 - > 00:03:49,759 It's not only companies getting into a space where they see an 79 00:03:49,759 - > 00:03:53,759 opportunity, uh, but it's also companies out there that have 80 00:03:53,759 - > 00:03:56,800 business issues, that see some traction, and they think that 81 00:03:56,800 - > 00:03:58,639 maybe that can solve it. 82 00:03:58,800 - > 00:04:03,599 And then we get into one of my favorites, which is FOMO, fear 83 00:04:03,599 - > 00:04:04,560 of missing out. 84 00:04:04,879 - > 00:04:09,360 And that may be a company that's looking at solutions, or it may 85 00:04:09,360 - > 00:04:12,400 be a player that you know wants to make sure they solve 86 00:04:12,400 - > 00:04:12,960 something. 87 00:04:13,199 - > 00:04:16,160 Um, and then that's where some of the craziness happens. 88 00:04:16,240 - > 00:04:20,160 You know, inflated expectations is always part of the cycle. 89 00:04:20,319 - > 00:04:26,000 So if you think about it, when you know cloud was the buzz, it 90 00:04:26,000 - > 00:04:29,600 was going to eliminate all IT complexity. 91 00:04:29,759 - > 00:04:32,000 You know, it was going to create that panacea. 92 00:04:32,480 - > 00:04:34,879 Well, we all know that that wasn't the case. 93 00:04:35,040 - > 00:04:41,839 And interestingly enough, uh, today AI is kind of in that same 94 00:04:41,839 - > 00:04:44,959 space where you know sometimes it's positioned to be the 95 00:04:44,959 - > 00:04:47,439 solution to every single business channel. 96 00:04:47,600 - > 00:04:49,839 You know, and and we all know that that's not the case. 97 00:04:50,000 - > 00:04:54,319 So, and then finally, you know, there's always the consolidation 98 00:04:54,319 - > 00:04:55,759 cycle that takes place. 99 00:04:55,920 - > 00:04:59,519 You know, there's some winners and losers, and you know, things 100 00:04:59,519 - > 00:05:03,839 commoditize, and then it's on to the next big thing and cycle. 101 00:05:03,920 - > 00:05:08,319 And and really that's happened across all the cycles I've been 102 00:05:08,319 - > 00:05:14,079 involved in, whether it's ERP or um CRM, SAS, you know, there was 103 00:05:14,079 - > 00:05:19,680 an interesting run with um kind of low-code, no-code solutions 104 00:05:19,839 - > 00:05:25,120 that then you know AI has creeped across and made a lot of 105 00:05:25,120 - > 00:05:29,600 those you know players and solutions um just not relevant 106 00:05:29,600 - > 00:05:29,920 anymore. 107 00:05:30,079 - > 00:05:30,959 So it's right. 108 00:05:31,360 - > 00:05:33,759 Everything kind of goes through that flow in that cycle, 109 00:05:34,079 - > 00:05:35,439 typically is what I see. 110 00:05:35,920 - > 00:05:37,040 SPEAKER_00: That's very interesting. 111 00:05:37,199 - > 00:05:40,399 So, what I'd love to ask is when you're evaluating whether a 112 00:05:40,399 - > 00:05:44,959 company has like a real market potential, what are kind of like 113 00:05:44,959 - > 00:05:47,759 some of the first questions you ask that quickly tells you 114 00:05:47,759 - > 00:05:51,600 whether it's something real or maybe just like noise that might 115 00:05:51,600 - > 00:05:52,480 go away? 116 00:05:52,959 - > 00:05:56,000 SPEAKER_01: So there's several questions that come to mind for 117 00:05:56,000 - > 00:06:00,160 me, and I always look from the go-to-market standpoint. 118 00:06:00,319 - > 00:06:02,079 So pretty straightforward. 119 00:06:02,319 - > 00:06:04,720 What problem are they solving? 120 00:06:05,199 - > 00:06:08,560 How painful is it, and can it be measured? 121 00:06:09,040 - > 00:06:14,240 So, you know, for for example, um, you know, maybe a solution, 122 00:06:14,399 - > 00:06:20,800 an AI solution that proactively um tracks weather and notifies a 123 00:06:20,800 - > 00:06:24,560 transportation company of delays and they've got thousands of 124 00:06:24,560 - > 00:06:25,519 orders in WIP. 125 00:06:27,360 - > 00:06:31,360 We know it's painful, we know we can measure it, and obviously 126 00:06:31,439 - > 00:06:33,120 it's very, very high value. 127 00:06:33,360 - > 00:06:36,480 Um then is the is the solution repeatable? 128 00:06:36,800 - > 00:06:40,720 So, in other words, you know, is it are there dollars and cents 129 00:06:40,720 - > 00:06:42,560 and opportunities for everyone involved? 130 00:06:42,720 - > 00:06:46,240 Because if if everything's a one-off, it's a consulting 131 00:06:46,240 - > 00:06:48,879 solution, it's not necessarily business solution. 132 00:06:49,120 - > 00:06:52,399 Um, and then kind of you know, finally, is you know, are 133 00:06:52,399 - > 00:06:55,519 businesses willing to invest to solve it? 134 00:06:55,680 - > 00:06:58,560 Yeah, because someone's gotta be willing to write a check for it. 135 00:06:58,879 - > 00:07:03,600 So, and really the strongest signals then for me finally is 136 00:07:03,759 - > 00:07:07,519 do you have a leadership team that can clearly articulate you 137 00:07:07,519 - > 00:07:12,639 know customer outcomes instead of just a CTO that's super super 138 00:07:12,639 - > 00:07:15,839 excited because they've got a cool technology? 139 00:07:16,000 - > 00:07:19,519 Yeah, and you've got to have the appropriate team then that can 140 00:07:19,519 - > 00:07:20,399 convey that. 141 00:07:20,639 - > 00:07:24,879 And then finally, you've got to be set up to scale because 142 00:07:24,879 - > 00:07:26,959 that's where the opportunity really sits. 143 00:07:27,279 - > 00:07:29,120 SPEAKER_00: Yeah, that's very interesting. 144 00:07:29,360 - > 00:07:34,000 A question I have for you based off of that is is there like I 145 00:07:34,000 - > 00:07:37,600 guess how how would a company know if it's too early to come 146 00:07:37,600 - > 00:07:40,000 in front of a VC versus not? 147 00:07:40,399 - > 00:07:43,759 Like if being, I mean, I would assume there's some times where 148 00:07:43,759 - > 00:07:46,720 the idea is really that good that you don't necessarily need 149 00:07:46,720 - > 00:07:49,680 sales to prove it, or I guess how are you guys evaluating if 150 00:07:49,680 - > 00:07:52,319 it's too early versus you know the right time? 151 00:07:53,040 - > 00:07:58,240 SPEAKER_01: Well, when I look at it how we evaluate and look, we 152 00:07:58,240 - > 00:08:02,480 want someone that um has a certain amount of a track 153 00:08:02,480 - > 00:08:03,040 record. 154 00:08:03,360 - > 00:08:08,480 Okay, they have customers, andor at least they have you know what 155 00:08:08,480 - > 00:08:11,360 I would refer to as development partners. 156 00:08:11,439 - > 00:08:15,439 You know, they may have um you know some signed letters of 157 00:08:15,439 - > 00:08:20,959 engagement with X number of people that um are excited and 158 00:08:20,959 - > 00:08:24,800 willing to invest and support a go-to-market, and and then you 159 00:08:24,800 - > 00:08:27,519 determine the kind of assistance they may happen to need. 160 00:08:27,920 - > 00:08:31,600 Is the value prop really unique? 161 00:08:31,839 - > 00:08:32,799 Is it focused? 162 00:08:32,960 - > 00:08:38,399 Is it a niche industry, um, you know, maybe business issue that 163 00:08:38,720 - > 00:08:41,519 you can see there's traction opportunity for everyone? 164 00:08:42,080 - > 00:08:42,960 SPEAKER_00: Very cool. 165 00:08:43,200 - > 00:08:43,919 That's awesome. 166 00:08:44,080 - > 00:08:45,679 Yeah, I appreciate you sharing that. 167 00:08:45,840 - > 00:08:48,240 Uh, one thing that we were talking about offline, you 168 00:08:48,240 - > 00:08:51,759 mentioned the automating automating dysfunction, and you 169 00:08:51,759 - > 00:08:54,720 said that technology without process is really just 170 00:08:54,720 - > 00:08:56,399 automating dysfunction. 171 00:08:56,720 - > 00:09:00,240 How would you say can we help leaders you know recognize when 172 00:09:00,240 - > 00:09:03,360 their organization is doing exactly that and how can they 173 00:09:03,360 - > 00:09:06,559 fix it before they scale the wrong thing? 174 00:09:07,200 - > 00:09:09,759 SPEAKER_01: Well, part of that is tied to having the right 175 00:09:09,759 - > 00:09:12,960 business partners to be able to help them, but back to the 176 00:09:12,960 - > 00:09:17,200 original point: most failed transformations and deployments 177 00:09:17,840 - > 00:09:21,360 are process failures, they're not technology failures, at 178 00:09:21,360 - > 00:09:25,039 least if there's a level of competency and maturity. 179 00:09:25,679 - > 00:09:29,039 It's key that the process that's done under consideration for 180 00:09:29,039 - > 00:09:35,600 automation is the right process, and you're not trying to 181 00:09:36,240 - > 00:09:38,720 automate a bad process. 182 00:09:39,039 - > 00:09:44,960 And unfortunately, you know, that can be the case where AI is 183 00:09:44,960 - > 00:09:47,759 going to solve, you know, save the world, or a particular 184 00:09:47,759 - > 00:09:50,399 technology is going to save the world. 185 00:09:50,559 - > 00:09:53,919 And it's actually kind of set up an interesting trend in the 186 00:09:53,919 - > 00:10:00,480 marketplace that companies that have a strong sales motion that 187 00:10:00,480 - > 00:10:06,879 relies on value engineering in the discovery process. 188 00:10:07,679 - > 00:10:11,200 And um, you know, you see more and more, you know, where 189 00:10:11,279 - > 00:10:14,399 companies talk about in their go-to-market of a proof of 190 00:10:14,399 - > 00:10:15,039 value. 191 00:10:15,519 - > 00:10:21,919 So, how do we ensure it's the right process, optimized in the 192 00:10:21,919 - > 00:10:27,279 right way, and then truly proving that out as to how it 193 00:10:27,279 - > 00:10:33,120 meets a customer's needs, and that helps you avoid that 194 00:10:34,080 - > 00:10:36,480 automating you know, something that shouldn't be. 195 00:10:37,200 - > 00:10:41,279 I'll give you a great kind of historical example that kind of 196 00:10:41,279 - > 00:10:42,559 dates me a little bit. 197 00:10:42,799 - > 00:10:45,519 Back in the back in the day, there was something called 198 00:10:45,519 - > 00:10:50,320 finite capacity planning, which would take manufacturing work 199 00:10:50,320 - > 00:10:56,399 orders and optimize them into the perfect schedule. 200 00:10:56,960 - > 00:11:01,279 But you know, they would need to rely on a bill of material and 201 00:11:01,519 - > 00:11:03,840 you know a manufacturing definition. 202 00:11:04,240 - > 00:11:08,000 The majority of the time, most companies didn't have the level 203 00:11:08,000 - > 00:11:11,679 of accuracy they needed in their bill of material or andor in 204 00:11:11,679 - > 00:11:13,279 their manufacturing definition. 205 00:11:13,600 - > 00:11:17,840 So the what what I described is that you know that train is just 206 00:11:17,840 - > 00:11:23,759 going to hit the wall ten times faster because you don't have 207 00:11:23,759 - > 00:11:25,200 some of the basics down. 208 00:11:26,240 - > 00:11:30,559 Good data, good governments, you know, in that case, just an 209 00:11:30,559 - > 00:11:33,279 accurate bill of material and bill of resource. 210 00:11:33,360 - > 00:11:37,200 So it's it's it all kind of operates you know along the same 211 00:11:37,200 - > 00:11:37,440 lines. 212 00:11:37,600 - > 00:11:41,200 You gotta get the process right, you gotta get the re-engineering 213 00:11:41,519 - > 00:11:44,320 right, and then you can optimize and automate it. 214 00:11:45,279 - > 00:11:47,360 SPEAKER_00: You know, one thing that comes to mind as you're 215 00:11:47,360 - > 00:11:51,200 saying this is obviously the startup world is like we always 216 00:11:51,200 - > 00:11:52,960 uh say it's chaotic, right? 217 00:11:53,039 - > 00:11:55,600 Because there's no systems, there's no processes yet. 218 00:11:55,679 - > 00:11:58,000 Well, maybe there is some systems and you know they're 219 00:11:58,000 - > 00:11:59,919 trying to implement processes. 220 00:12:00,720 - > 00:12:05,120 When you're growing a startup, is there like I guess what are 221 00:12:05,120 - > 00:12:08,480 your must-have like foundational things that you need to know, 222 00:12:08,559 - > 00:12:11,919 whether it's a leader or business owner, that you just 223 00:12:11,919 - > 00:12:14,879 can skip even as a startup? 224 00:12:15,679 - > 00:12:19,679 SPEAKER_01: So from my perspective, that's where you've 225 00:12:19,679 - > 00:12:23,120 got an opportunity to rely on third parties. 226 00:12:23,440 - > 00:12:28,240 You know, if if you're a founder, who is your mentor? 227 00:12:28,799 - > 00:12:34,960 Who are the external eyes and ears that you look at that um 228 00:12:35,679 - > 00:12:40,159 kind of help clear the air of what may you know be perceived 229 00:12:40,159 - > 00:12:43,279 to be our art artificial exuberance and and things like 230 00:12:43,279 - > 00:12:43,440 that? 231 00:12:43,759 - > 00:12:48,879 So it goes back to you know those four to five questions, 232 00:12:49,519 - > 00:12:52,159 what are you solving and down that path. 233 00:12:52,320 - > 00:12:55,440 And and then finally, and actually something that's being 234 00:12:55,440 - > 00:13:02,320 written a lot more about is how do you properly scale everyone 235 00:13:02,320 - > 00:13:06,879 gets into the game for the most part these days, you've got this 236 00:13:06,879 - > 00:13:10,080 artificial exuberance and they're looking for this exit. 237 00:13:10,720 - > 00:13:16,799 Yeah, there's a path you need to be methodical about it from 238 00:13:16,799 - > 00:13:18,320 that, you know, from that perspective. 239 00:13:18,559 - > 00:13:23,039 If you take in too much capital, you know, you dilute your 240 00:13:23,200 - > 00:13:25,039 holdings and all of those things. 241 00:13:25,360 - > 00:13:30,000 So net net to bring it back full cycle, take advantage of 242 00:13:30,000 - > 00:13:34,240 mentors, take advantage of external resources, people that 243 00:13:34,240 - > 00:13:39,120 have done it before, if you have not, to ensure that you know 244 00:13:39,200 - > 00:13:41,440 you're not making the repeatable mistakes. 245 00:13:41,759 - > 00:13:42,559 SPEAKER_00: That's very true. 246 00:13:42,639 - > 00:13:46,080 And I I think one of the biggest things that is a founder 247 00:13:46,240 - > 00:13:48,240 mistake, and obviously, you know, being a business owner 248 00:13:48,240 - > 00:13:52,000 myself, is when you're sitting in the seat itself and in a way 249 00:13:52,080 - > 00:13:55,600 you're driving, it's kind of hard to see the full picture of 250 00:13:55,600 - > 00:13:56,320 everything, right? 251 00:13:56,399 - > 00:14:00,080 So those mentorships, those advisors or fractional leaders 252 00:14:00,080 - > 00:14:02,480 that you're hiring really help you see because they're seeing 253 00:14:02,480 - > 00:14:06,000 it from in a way uh a different seed, you know, higher up, 254 00:14:06,080 - > 00:14:09,039 they're seeing the full picture versus you're just kind of 255 00:14:09,039 - > 00:14:11,440 focusing on the driving as you're going. 256 00:14:11,679 - > 00:14:15,200 So I do agree that mentorship is very, very important as a 257 00:14:15,200 - > 00:14:15,600 founder. 258 00:14:15,679 - > 00:14:17,840 I mean, no matter what kind of business you're in. 259 00:14:18,240 - > 00:14:22,480 SPEAKER_01: Well, and and and the final thing is none of this 260 00:14:22,480 - > 00:14:23,279 is new. 261 00:14:24,720 - > 00:14:30,960 We live, we live and operate in a um you know, startup, 262 00:14:31,200 - > 00:14:32,879 entrepreneurial world and space. 263 00:14:32,960 - > 00:14:36,480 And actually, the you know, we were talking a little earlier 264 00:14:36,480 - > 00:14:39,919 about my internet challenges that I had last night in a book 265 00:14:39,919 - > 00:14:41,919 that I that I picked up and was reading. 266 00:14:42,000 - > 00:14:47,120 And it's called Um Unlikely Entrepreneurs, um, wins, losses, 267 00:14:47,200 - > 00:14:52,080 and crucial crucial lessons building great companies, and 268 00:14:52,080 - > 00:14:57,360 it's all about stories of different startups, different 269 00:14:57,360 - > 00:15:01,600 founders, what they've done, what has worked, what hasn't 270 00:15:01,600 - > 00:15:02,240 worked. 271 00:15:02,879 - > 00:15:03,279 Yeah. 272 00:15:04,240 - > 00:15:07,200 There's lots of players and lots of opportunities for it. 273 00:15:07,519 - > 00:15:08,320 SPEAKER_00: Very true. 274 00:15:08,639 - > 00:15:11,360 Speaking of that, um, it's actually a great segue to my 275 00:15:11,360 - > 00:15:16,000 next question is right now with AI, everything is moving faster, 276 00:15:16,080 - > 00:15:16,320 right? 277 00:15:16,399 - > 00:15:20,159 You are able to start a business faster than it ever was before. 278 00:15:20,480 - > 00:15:23,759 But with that, I feel like the hardest part is differentiation. 279 00:15:23,840 - > 00:15:24,960 It's getting harder. 280 00:15:25,200 - > 00:15:27,519 Features are getting copied so fast. 281 00:15:27,840 - > 00:15:31,840 I mean, how, in your opinion, what is like a meaningful 282 00:15:31,840 - > 00:15:35,840 differentiation look like right now for a company that they're 283 00:15:35,840 - > 00:15:39,200 trying to stand out versus something that you know it's not 284 00:15:39,200 - > 00:15:41,679 necessarily going to stick around for too long? 285 00:15:42,559 - > 00:15:43,840 SPEAKER_01: Great question. 286 00:15:44,159 - > 00:15:48,960 So features and specifically AI capabilities, already we're 287 00:15:48,960 - > 00:15:51,039 seeing them become table stakes. 288 00:15:51,600 - > 00:15:53,519 There's a lot of buzz around it. 289 00:15:53,679 - > 00:15:57,440 Um, some people are delivering value, some aren't, but 290 00:15:57,440 - > 00:16:04,320 sustainable differentiation ultimately comes from successful 291 00:16:04,320 - > 00:16:08,080 customer experience that you can bring to the table in addition 292 00:16:08,080 - > 00:16:09,120 to the solution. 293 00:16:09,440 - > 00:16:10,960 People buy from people. 294 00:16:11,200 - > 00:16:15,200 What's your ecosystem background that you you know that you're 295 00:16:15,200 - > 00:16:16,080 able to provide? 296 00:16:16,320 - > 00:16:21,039 Do you have proof of adoption of your solution and ultimately 297 00:16:21,200 - > 00:16:22,559 measurable outcomes? 298 00:16:22,799 - > 00:16:25,919 Okay, no one's doing this for fun. 299 00:16:26,080 - > 00:16:29,360 You know, you're looking to be able to solve problems. 300 00:16:29,840 - > 00:16:35,279 Um for years, you know, software companies competed on product 301 00:16:35,279 - > 00:16:38,080 innovation who had the next bell and whistle. 302 00:16:38,320 - > 00:16:42,639 I remember when I worked for a company, and again, this goes 303 00:16:42,639 - > 00:16:47,039 way back, that didn't have net change MRP. 304 00:16:47,759 - > 00:16:50,720 We thought the world was gonna come to an end. 305 00:16:51,120 - > 00:16:56,879 No one cares about net change capability because the 306 00:16:56,879 - > 00:17:00,080 horsepower is out there to be able to run you know things like 307 00:17:00,080 - > 00:17:00,240 that. 308 00:17:00,320 - > 00:17:02,320 So it's so it's all change. 309 00:17:02,799 - > 00:17:07,200 Um, and today innovation is moving faster than custom 310 00:17:07,599 - > 00:17:11,599 customers can adopt those innovations. 311 00:17:11,839 - > 00:17:13,599 And it's really important to understand that. 312 00:17:13,759 - > 00:17:17,039 So the real competitive advantage again fundamentally 313 00:17:17,039 - > 00:17:24,559 comes down to, I believe, a company's ability to solve 314 00:17:24,559 - > 00:17:28,799 customers' problems with those technologies. 315 00:17:29,200 - > 00:17:33,359 And and again, back to you know, we we talked about you know some 316 00:17:33,359 - > 00:17:37,200 of the buzz we're seeing with proof of values, and that's 317 00:17:37,200 - > 00:17:40,240 where the demo isn't good enough anymore. 318 00:17:40,559 - > 00:17:43,680 Okay, just you know, that's that's table stakes. 319 00:17:43,759 - > 00:17:46,400 As a matter of fact, they don't even want to see a demo because 320 00:17:46,400 - > 00:17:50,000 they expect that all the research that they did, you 321 00:17:50,000 - > 00:17:52,720 know, they want and they asked Claude. 322 00:17:52,880 - > 00:17:57,519 So who is you know the best provider to do this, this, and 323 00:17:57,519 - > 00:17:57,839 this? 324 00:17:58,400 - > 00:18:01,759 And you know, show me demos. 325 00:18:02,559 - > 00:18:05,759 So if you're not out there, if you don't have those things, 326 00:18:06,079 - > 00:18:10,799 okay, it's a new world, it's a new world. 327 00:18:11,039 - > 00:18:15,200 Um you know, proof of concept doesn't provide differentiation 328 00:18:15,200 - > 00:18:15,759 anymore. 329 00:18:16,160 - > 00:18:18,720 Okay, that used to be the big play. 330 00:18:19,119 - > 00:18:22,799 Because at the end of the day, you know, a proof of concept 331 00:18:22,960 - > 00:18:26,079 addresses can a technology do what the vendor said it would 332 00:18:26,079 - > 00:18:26,319 do? 333 00:18:28,160 - > 00:18:34,400 Proof of value takes that dramatically to the next level. 334 00:18:35,279 - > 00:18:39,599 Not only does the technology work, does the technology work 335 00:18:40,799 - > 00:18:44,640 using my data and my environment? 336 00:18:45,519 - > 00:18:51,200 So they almost want to implement it as as part of the sales 337 00:18:51,200 - > 00:18:52,160 cycle. 338 00:18:52,799 - > 00:19:00,400 If you can do that, if you can cross that line in the kind of 339 00:19:00,400 - > 00:19:05,839 what the buyer's journey is now, that is real differentiation. 340 00:19:06,720 - > 00:19:10,559 And what I think is interesting and exciting about that is it's 341 00:19:10,559 - > 00:19:16,640 not about the technology, it's about the go to market, and it's 342 00:19:16,640 - > 00:19:17,759 how you execute. 343 00:19:18,640 - > 00:19:19,039 SPEAKER_00: Yeah. 344 00:19:19,599 - > 00:19:21,599 SPEAKER_01: At the end of the day, companies are only gonna do 345 00:19:21,599 - > 00:19:25,039 that with with one partner, it isn't gonna be like what you 346 00:19:25,039 - > 00:19:25,759 used to do. 347 00:19:25,920 - > 00:19:29,519 Oh, okay, we're gonna do the RFP and we're gonna see five demos. 348 00:19:31,759 - > 00:19:35,440 You're gonna decide pretty early on in the evaluation of a 349 00:19:35,440 - > 00:19:35,759 partner. 350 00:19:36,160 - > 00:19:38,400 Hey, we're gonna do a proof of value. 351 00:19:39,039 - > 00:19:41,519 Yeah, not gonna do four of them. 352 00:19:42,400 - > 00:19:47,279 So it again, it really becomes a good market differentiator. 353 00:19:47,839 - > 00:19:50,480 SPEAKER_00: Yeah, that's that's very that's very good. 354 00:19:50,559 - > 00:19:51,759 And I I agree with it. 355 00:19:51,839 - > 00:19:53,599 I mean, it's it's really hard. 356 00:19:53,680 - > 00:19:57,519 Um, even the products right now, like you can, you know, search 357 00:19:57,519 - > 00:19:59,839 for one thing and get 10 different answers. 358 00:20:00,079 - > 00:20:02,400 At the end of the day, it's gonna come down to the people 359 00:20:02,400 - > 00:20:03,359 that you're talking to. 360 00:20:03,440 - > 00:20:06,559 And did they provide the value that you're that you're looking 361 00:20:06,559 - > 00:20:06,720 for? 362 00:20:06,799 - > 00:20:09,119 And obviously, you know, I see that uh with the buying eye 363 00:20:09,200 - > 00:20:11,680 myself is on buying products or software, you know. 364 00:20:11,839 - > 00:20:13,599 Um, so totally agree with that. 365 00:20:13,839 - > 00:20:17,119 Is there uh based on like just your experience and what you've 366 00:20:17,119 - > 00:20:20,880 seen right now in terms of startups or just go-to-market 367 00:20:21,039 - > 00:20:23,680 differentiation, is there anything that you've seen right 368 00:20:23,680 - > 00:20:27,440 now that's like maybe really working well without you know 369 00:20:27,680 - > 00:20:30,079 busting any secrets or anything like that? 370 00:20:30,720 - > 00:20:35,200 SPEAKER_01: No, I I think it's the really the fundamental that 371 00:20:35,200 - > 00:20:36,480 we just talked through. 372 00:20:36,799 - > 00:20:43,279 I believe that everyone's got a commodity of technology, and it 373 00:20:43,279 - > 00:20:51,440 may be unbelievably innovative, but the secret sauce is the 374 00:20:51,440 - > 00:20:57,920 execution in the go-to-market because in enterprise sales, 375 00:20:58,000 - > 00:21:02,480 anyway, people buy from people, you know, they may be buying 376 00:21:02,480 - > 00:21:06,160 from a founder, and there's confidence and and whatever that 377 00:21:06,160 - > 00:21:06,720 may be. 378 00:21:07,039 - > 00:21:16,000 So out-execute your competitors, yeah, and you'll do well. 379 00:21:16,720 - > 00:21:18,960 SPEAKER_00: Yeah, no, that's that's fair. 380 00:21:19,200 - > 00:21:22,720 I wanted to shift focus a little bit to the pre-sales, and as 381 00:21:22,720 - > 00:21:25,839 we're talking about customer value, you've obviously spent a 382 00:21:25,839 - > 00:21:28,720 significant part of your career leading like solution 383 00:21:28,720 - > 00:21:30,000 engineering organizations. 384 00:21:30,559 - > 00:21:34,319 How has that role changed from when you started to, in a way, 385 00:21:34,400 - > 00:21:38,000 what's expected today from either the department or 386 00:21:38,000 - > 00:21:40,319 leadership itself in terms of pre sales? 387 00:21:40,880 - > 00:21:45,279 SPEAKER_01: No, it's you know crazy the amount of change. 388 00:21:45,359 - > 00:21:49,759 I mean, there, you know, there's some fundamentals in what here's 389 00:21:49,839 - > 00:21:54,240 what hasn't changed a pre sales or solution engineer's 390 00:21:54,240 - > 00:21:58,720 responsibility is to help a customer. 391 00:22:00,319 - > 00:22:06,400 See solutions to their issues in your solutions. 392 00:22:07,279 - > 00:22:08,720 That hasn't changed. 393 00:22:09,279 - > 00:22:12,319 It's how you do that that has changed. 394 00:22:12,880 - > 00:22:15,599 So obviously, we've been talking about the role has evolved from 395 00:22:15,599 - > 00:22:19,680 just product demonstrations and supporting processes. 396 00:22:20,000 - > 00:22:22,160 It's all about business transformation. 397 00:22:22,799 - > 00:22:26,480 20 years ago, it was only about the demo. 398 00:22:27,200 - > 00:22:28,880 We still want them to do that. 399 00:22:29,680 - > 00:22:32,960 We want to capture it and we want to make it available on 400 00:22:32,960 - > 00:22:33,599 demand. 401 00:22:34,160 - > 00:22:37,839 So that when you're out looking for your next solution and 402 00:22:37,839 - > 00:22:42,799 you're doing some research at two o'clock in the morning, and 403 00:22:42,799 - > 00:22:48,799 you ask Chat GPT for demos to such and such, that best in 404 00:22:48,799 - > 00:22:54,559 class demo and that content is there and available, but it's 405 00:22:54,559 - > 00:22:57,920 not a matter of that you're going to have an SC do that. 406 00:22:58,079 - > 00:23:02,559 So with that, we're seeing a huge amount of specialization 407 00:23:02,559 - > 00:23:06,160 across the entire go-to-market organizations because there's a 408 00:23:06,160 - > 00:23:11,920 lot of blurring as to what is pre-sales, um, you know, does it 409 00:23:11,920 - > 00:23:16,720 include some customer success, all different kinds of things. 410 00:23:16,799 - > 00:23:20,160 So that's pretty that's been changing pretty dramatically and 411 00:23:20,160 - > 00:23:21,759 very, very rapidly. 412 00:23:22,000 - > 00:23:25,920 Um, value engineering has been around for a while, it's just a 413 00:23:25,920 - > 00:23:26,880 specialization. 414 00:23:27,519 - > 00:23:32,559 Um, you know, demo engineers, it's not uncommon to see um 415 00:23:32,880 - > 00:23:36,640 pre-sales um supporting an enablement. 416 00:23:37,359 - > 00:23:43,680 The new kind of buzz term, so to speak, you know, is uh the uh 417 00:23:43,680 - > 00:23:47,839 the FDE or forward deployed engineering teams. 418 00:23:48,000 - > 00:23:48,400 SPEAKER_02: Yeah. 419 00:23:48,720 - > 00:23:52,720 SPEAKER_01: Which in reality, that's the start of some of the 420 00:23:52,720 - > 00:23:57,200 blur that's taking place between what's pre-sales and post-sales. 421 00:23:57,759 - > 00:24:02,960 Um, because at the end of the day, the customer doesn't care 422 00:24:03,279 - > 00:24:06,880 where the sale ends and the implementation begins. 423 00:24:07,440 - > 00:24:12,559 They they've got to focus their definition of success, you know, 424 00:24:12,640 - > 00:24:17,440 the the CEO, the CFO that makes a decision is when they see 425 00:24:17,440 - > 00:24:20,799 themselves getting business value out of that. 426 00:24:21,200 - > 00:24:25,920 And the hey, if we've got the pre-sales team, and then they do 427 00:24:25,920 - > 00:24:31,200 a handoff to a post-sales team, and then regardless of how good 428 00:24:31,200 - > 00:24:35,519 that term that handoff is from one group to the other, you 429 00:24:35,519 - > 00:24:38,880 know, an implementation team can't come in and say, All 430 00:24:38,880 - > 00:24:44,400 right, we're so excited to be here to implement new solution 431 00:24:44,640 - > 00:24:44,960 A. 432 00:24:46,079 - > 00:24:49,920 So let's start talking about how you run your business and what 433 00:24:49,920 - > 00:24:54,000 your business issues are, and that's been going on for 434 00:24:54,000 - > 00:24:54,640 decades. 435 00:24:55,279 - > 00:24:58,960 Yeah, not acceptable anymore. 436 00:24:59,359 - > 00:25:06,240 And that's why you know we see this blurring taking place. 437 00:25:06,799 - > 00:25:15,759 That's why typically a uh FDE team or FDE engineers, they're 438 00:25:15,759 - > 00:25:19,519 taking that configuration to the next level. 439 00:25:19,839 - > 00:25:23,920 They may even be doing it in a customer's environment. 440 00:25:24,559 - > 00:25:32,319 You know, so it's there's a big shift because there's a lack of 441 00:25:32,319 - > 00:25:32,559 trust. 442 00:25:32,640 - > 00:25:36,559 You know, we used to joke and say, oh, well, you know, when 443 00:25:36,559 - > 00:25:37,279 did you see that? 444 00:25:37,440 - > 00:25:40,000 Oh, well, that was in the demo. 445 00:25:42,240 - > 00:25:42,880 SPEAKER_00: Yeah. 446 00:25:43,279 - > 00:25:43,680 Yeah. 447 00:25:44,000 - > 00:25:46,799 I think it's uh for sure. 448 00:25:47,039 - > 00:25:50,400 I was gonna say, in terms of the FDE role, like the four deployed 449 00:25:50,400 - > 00:25:54,400 engineers, first of all, there's been a 700% increase in 450 00:25:54,400 - > 00:25:58,640 companies hiring for FDEs, which is a very interesting fact I 451 00:25:58,640 - > 00:25:59,519 learned the other day. 452 00:25:59,599 - > 00:26:03,519 And it's I feel like, and kind of like what you mentioned, is 453 00:26:03,599 - > 00:26:06,000 first of all, that's been around for a long time. 454 00:26:06,160 - > 00:26:10,079 Um, second of all, we just change it to a new name now. 455 00:26:10,400 - > 00:26:13,359 Okay, cool, you know, like it used to be called maybe 456 00:26:13,359 - > 00:26:16,079 implementation engineer or something along those lines or 457 00:26:16,079 - > 00:26:17,599 integration engineer. 458 00:26:17,920 - > 00:26:21,920 And I feel like some companies have shouldn't even be calling 459 00:26:21,920 - > 00:26:25,920 it a forward deployed engineer because the title itself now is 460 00:26:26,480 - > 00:26:30,240 more expensive than the actual work that they're hiring for. 461 00:26:30,480 - > 00:26:33,279 And I think sometimes they don't understand, like I don't know, 462 00:26:33,440 - > 00:26:36,000 maybe just sounds cool to be hiring for a forward deployed 463 00:26:36,000 - > 00:26:39,519 engineer, unless they're truly doing like what a forward 464 00:26:39,680 - > 00:26:40,880 deployed engineer should be doing. 465 00:26:41,039 - > 00:26:43,839 Because sometimes I'll be jumping on calls and with 466 00:26:43,839 - > 00:26:46,480 potential clients and they're just describing to me what a 467 00:26:46,480 - > 00:26:50,000 post-sales like implementation person would do that's not 468 00:26:50,000 - > 00:26:52,400 necessarily a forward deployed engineer. 469 00:26:52,799 - > 00:26:54,799 So I thought that was an interesting fact. 470 00:26:54,960 - > 00:26:58,640 And I always encourage companies to, you know, really take a look 471 00:26:58,640 - > 00:27:00,880 at like what is that person going to do? 472 00:27:01,119 - > 00:27:04,079 Define your must-haves versus nice to have's. 473 00:27:04,319 - > 00:27:07,279 And just because it's a cool trendy title, you know, doesn't 474 00:27:07,279 - > 00:27:09,759 mean you should be paying more money for that person versus 475 00:27:09,759 - > 00:27:12,559 like somebody that's already been around for that long. 476 00:27:12,960 - > 00:27:15,359 SPEAKER_01: I that's a great point. 477 00:27:15,680 - > 00:27:20,160 And what I would kind of suggest that part of the conversation 478 00:27:20,160 - > 00:27:26,319 needs to be is what is the shift that's taken place in your sales 479 00:27:26,319 - > 00:27:32,160 motion that is driving you for this need. 480 00:27:32,559 - > 00:27:32,880 SPEAKER_02: Right. 481 00:27:33,519 - > 00:27:37,920 SPEAKER_01: From my standpoint, yeah, you you think of you know 482 00:27:38,160 - > 00:27:43,519 of an FDE and what's that skill set, you know, they could be and 483 00:27:43,519 - > 00:27:47,680 could have a skill set kind of of what a demo engineer was that 484 00:27:47,680 - > 00:27:54,079 was building very customized solutions for a solution 485 00:27:54,079 - > 00:27:55,920 engineer to demo and show. 486 00:27:56,319 - > 00:27:59,519 The other side of it though is that if your business model is 487 00:27:59,519 - > 00:28:06,319 actually to be deploying um in a customer's infrastructure, yeah, 488 00:28:06,480 - > 00:28:11,839 then I do want someone with implementation level skills, 489 00:28:12,160 - > 00:28:14,640 yeah, governance, and and and all of those things. 490 00:28:14,799 - > 00:28:21,359 But it starts to go to um you know, what's the model, what's 491 00:28:21,359 - > 00:28:23,599 the skill set that's needed. 492 00:28:23,920 - > 00:28:28,400 In my opinion, the important part is to focus on what is the 493 00:28:28,400 - > 00:28:34,640 team of people that are needed to support that evolution and 494 00:28:34,640 - > 00:28:39,279 move from a POC environment to a POV environment. 495 00:28:40,480 - > 00:28:44,319 And then you can sort out kind of who's who in the zoo and and 496 00:28:44,319 - > 00:28:45,839 and what it takes to do it. 497 00:28:46,240 - > 00:28:47,759 SPEAKER_00: Yeah, no, very true. 498 00:28:47,920 - > 00:28:50,720 And you mentioned this a little bit already, but I wanted to 499 00:28:50,720 - > 00:28:52,160 dive a little bit further into it. 500 00:28:52,319 - > 00:28:55,119 The the pre-sales and the post-sales lines are kind of 501 00:28:55,119 - > 00:28:55,920 blurring, right? 502 00:28:56,000 - > 00:28:59,440 We we do have a lot of startups that are hiring for somebody to 503 00:28:59,440 - > 00:29:00,720 be doing both. 504 00:29:00,880 - > 00:29:04,160 Um, or you know, obviously, as you grow a little bit more, then 505 00:29:04,160 - > 00:29:07,279 you can not necessarily just afford, but you know, you can 506 00:29:07,279 - > 00:29:08,720 split those roles up. 507 00:29:08,880 - > 00:29:12,319 Do you feel like we're moving towards more of a unified like 508 00:29:12,319 - > 00:29:13,920 customer-facing function? 509 00:29:14,160 - > 00:29:17,519 Or how do you see like the pre- and post-sales you know, 510 00:29:17,759 - > 00:29:19,839 functions moving forward? 511 00:29:20,480 - > 00:29:24,799 SPEAKER_01: Well, I think it it depends upon a particular 512 00:29:24,799 - > 00:29:30,960 company's business model and where is in their looking to 513 00:29:30,960 - > 00:29:40,000 scale early on, okay, the person that demos um absolutely could 514 00:29:40,000 - > 00:29:44,000 be implementing because the reality of it is that they could 515 00:29:44,000 - > 00:29:46,880 be a product manager, they could be, you know, they're wearing a 516 00:29:46,880 - > 00:29:49,279 huge number of different hats. 517 00:29:50,079 - > 00:29:56,400 Um I think the POV, you know, you look at POVs and you look at 518 00:29:56,400 - > 00:30:00,240 some of this blurring that's taking place, where that pivot 519 00:30:00,240 - > 00:30:04,079 is really stronger, is in the larger enterprise companies. 520 00:30:04,319 - > 00:30:10,720 So, for example, in uh my last companies where we did it and 521 00:30:10,720 - > 00:30:15,519 the lines were blurring, our reason for blurring them was is 522 00:30:15,680 - > 00:30:19,519 we wanted to ensure that we were driving, you know, it's a term 523 00:30:19,519 - > 00:30:22,559 that I use a lot, which is customer value realization, 524 00:30:22,880 - > 00:30:28,079 which starting in the sales cycle, what what were the goals, 525 00:30:28,240 - > 00:30:32,559 what was the vision, what were the business issues, and then 526 00:30:32,559 - > 00:30:37,279 ensure that um contract execution and what it takes to 527 00:30:37,279 - > 00:30:42,400 get to contract execution is you know just part of that golf 528 00:30:42,640 - > 00:30:43,279 swing. 529 00:30:43,599 - > 00:30:49,279 Okay, in in this day and age, customers don't want to like 530 00:30:49,519 - > 00:30:55,279 feel this oof, you know, we signed a contract, and now we're 531 00:30:55,279 - > 00:30:56,400 starting over again. 532 00:30:56,720 - > 00:31:02,240 Yeah, so the reason we went down a path, and I've gone down that 533 00:31:02,240 - > 00:31:09,519 that path, is you want to ensure that the outcome and the 534 00:31:09,519 - > 00:31:14,000 delivery of value is as hiccup free as possible. 535 00:31:14,480 - > 00:31:21,119 And that doesn't mean that hey, a solution engineer um then is 536 00:31:21,279 - > 00:31:23,039 involved in a go live. 537 00:31:23,279 - > 00:31:27,200 But what it means from my perspective is that they're 538 00:31:27,200 - > 00:31:34,559 involved well into um the design phase and you know some of those 539 00:31:34,559 - > 00:31:35,039 early points. 540 00:31:35,200 - > 00:31:37,599 It's gonna depend upon your technology, it's gonna depend 541 00:31:37,599 - > 00:31:42,640 upon the solution, but continuity um all the way out to 542 00:31:42,640 - > 00:31:46,400 the go live and gaining value, that's how you differentiate 543 00:31:46,400 - > 00:31:47,599 yourself in the marketplace. 544 00:31:47,759 - > 00:31:53,279 I've seen that be very effective in a competitive differentiation 545 00:31:53,279 - > 00:31:56,319 strategy because you know you'll you'll have a prospect that's 546 00:31:56,319 - > 00:32:00,480 like, oh, okay, so this is how this company operates. 547 00:32:00,799 - > 00:32:09,519 Or oh, so they introduced me to a totally separate 548 00:32:10,079 - > 00:32:12,960 implementation team and they're gonna come and meet me and they 549 00:32:12,960 - > 00:32:14,319 will learn about my business. 550 00:32:14,480 - > 00:32:16,160 That just doesn't apply anymore. 551 00:32:16,319 - > 00:32:17,440 It doesn't fly. 552 00:32:17,839 - > 00:32:19,200 SPEAKER_00: No, I totally agree. 553 00:32:19,359 - > 00:32:23,839 I mean, I've been on that end of the buying side where it's been 554 00:32:23,839 - > 00:32:27,440 super split, and I repeat myself, you know, multiple times 555 00:32:27,519 - > 00:32:29,839 uh along with you know the post-sale side. 556 00:32:30,000 - > 00:32:32,400 And I will say, at least some of the companies that we worked 557 00:32:32,400 - > 00:32:35,680 with that have been really successful at pre and post-sale, 558 00:32:35,839 - > 00:32:39,119 sometimes they have the same leader managing both departments 559 00:32:39,279 - > 00:32:41,200 because they can see the full vision. 560 00:32:41,359 - > 00:32:44,960 Um, other times when they are split, those two people need to 561 00:32:44,960 - > 00:32:46,880 be, in my opinion, best friends, right? 562 00:32:47,039 - > 00:32:51,200 Like how do we help each other and you know, be successful in 563 00:32:51,200 - > 00:32:52,240 both ends. 564 00:32:52,480 - > 00:32:56,319 And the third thing is I've seen them also implement like a 565 00:32:56,319 - > 00:33:00,720 30-day implementation basically process or onboarding process 566 00:33:00,720 - > 00:33:03,759 for the pre-sales I see, you know, with the customer 567 00:33:03,920 - > 00:33:07,680 onboarding uh person or customer success manager so that that 568 00:33:07,680 - > 00:33:10,240 handout or that handoff is smooth. 569 00:33:10,400 - > 00:33:12,720 Um, and I agree, I don't think that can fly anymore in the 570 00:33:12,720 - > 00:33:15,920 market because it's really easy for me to go and say, okay, 571 00:33:16,160 - > 00:33:19,119 there's 10 other companies that can do probably the same thing. 572 00:33:19,279 - > 00:33:22,640 I want to be taken care of and like the least amount of you 573 00:33:22,640 - > 00:33:24,720 know friction as possible. 574 00:33:25,200 - > 00:33:27,599 SPEAKER_01: Well, think think of one other thing that's been 575 00:33:27,599 - > 00:33:29,119 going on for decades. 576 00:33:29,519 - > 00:33:34,720 I mean, literally decades, is that you know, you'll get a um a 577 00:33:34,720 - > 00:33:42,319 tier one um consulting company that also sells the software. 578 00:33:42,480 - > 00:33:48,319 You know, think of any of our you know tier one players, and 579 00:33:48,640 - > 00:33:54,640 um you'll that's a different way to solve that same problem. 580 00:33:54,799 - > 00:33:59,039 So the selling team, then you know, you still have a lot of 581 00:33:59,039 - > 00:34:02,319 continuity of what that delivery team is. 582 00:34:02,480 - > 00:34:04,960 Yeah, all depends upon how big your company is. 583 00:34:05,119 - > 00:34:07,200 You know, are we talking about it in a startup? 584 00:34:07,359 - > 00:34:11,519 Are we talking about it, you know, someone in um in a space, 585 00:34:11,599 - > 00:34:15,360 it's just a lot of street fighting kind of going on, um, 586 00:34:16,239 - > 00:34:16,880 etc. 587 00:34:17,519 - > 00:34:20,559 Different people do it for different reasons, it has 588 00:34:20,559 - > 00:34:25,039 different labels, and I think we're very sensitive to it now 589 00:34:25,039 - > 00:34:27,039 because the rate of change, yeah. 590 00:34:28,320 - > 00:34:31,039 It just it's faster and faster and faster. 591 00:34:31,280 - > 00:34:37,119 So um, you know, the people don't have the appetite for the 592 00:34:37,440 - > 00:34:43,519 you know three-year, five-year deployment, and we'll protect 593 00:34:43,519 - > 00:34:47,199 the innocent or guilty is to the spaces that would have that. 594 00:34:47,519 - > 00:34:51,519 Um people need value quickly. 595 00:34:52,079 - > 00:34:54,000 There's got to be better ways to do it. 596 00:34:54,480 - > 00:34:57,199 SPEAKER_00: Couldn't agree more, and I think this is a perfect 597 00:34:57,199 - > 00:35:00,400 time to kind of segue into our rapid fire questions. 598 00:35:00,960 - > 00:35:05,360 Um, what is one tool that you can live without right now, or 599 00:35:05,360 - > 00:35:07,760 maybe since you're also investing in companies, have 600 00:35:07,760 - > 00:35:09,280 seen them not live without? 601 00:35:10,159 - > 00:35:13,760 SPEAKER_01: So there should be no surprise in my answer. 602 00:35:14,159 - > 00:35:19,519 It's absolutely generative AI tools that accelerate um 603 00:35:19,840 - > 00:35:25,440 research, you know, analysis, uh create content, productivity. 604 00:35:25,679 - > 00:35:28,559 Now, it's not a silver bullet. 605 00:35:29,039 - > 00:35:33,360 You know, people that and you hear all kinds of stories around 606 00:35:33,360 - > 00:35:37,360 people that are, you know, have thought, write it and send it. 607 00:35:37,440 - > 00:35:40,400 You know, have have them do all of these things. 608 00:35:40,800 - > 00:35:41,840 It doesn't work. 609 00:35:42,880 - > 00:35:48,960 The silver bullet for me is writing very powerful, reusable 610 00:35:48,960 - > 00:35:58,639 prompts that the the tool gets better and better and better. 611 00:35:59,199 - > 00:36:02,400 So for example, you know, you you look in the you know in the 612 00:36:02,400 - > 00:36:06,079 business world from a sales world standpoint, it can evolve 613 00:36:06,079 - > 00:36:10,480 for a bit, but a single prompt that if you've got a quarterly 614 00:36:10,480 - > 00:36:14,719 business review, you know, on a prospect that you're working 615 00:36:14,719 - > 00:36:20,079 with, you know, it should be cut and paste, take the prompt, drop 616 00:36:20,079 - > 00:36:24,559 it, yeah, go go get that cup of coffee because you know you're 617 00:36:24,559 - > 00:36:28,320 gonna you're gonna have a board level PowerPoint deck or 618 00:36:28,320 - > 00:36:30,159 whatever it is that's provided back to you. 619 00:36:30,400 - > 00:36:36,239 Now you've got to go back and you've got to verify and you've 620 00:36:36,239 - > 00:36:40,480 got to do all of your homework, okay, or it's a huge crash and 621 00:36:40,480 - > 00:36:40,800 burn. 622 00:36:41,199 - > 00:36:43,760 Because the last piece, why is that important to me? 623 00:36:44,000 - > 00:36:47,360 Share a little bit of something about me, which actually I think 624 00:36:47,440 - > 00:36:50,559 is a differentiator versus a weakness. 625 00:36:50,800 - > 00:36:53,199 I'm a card-carrying dyslexic. 626 00:36:53,519 - > 00:36:57,039 So, you know, I transpose right and left and all of these 627 00:36:57,039 - > 00:36:57,760 different things. 628 00:36:57,920 - > 00:37:05,440 So these tools make me super, super productive from a 629 00:37:05,440 - > 00:37:06,320 comparative level. 630 00:37:06,480 - > 00:37:09,199 But I know how to use them and how not to use them. 631 00:37:09,519 - > 00:37:10,239 SPEAKER_00: Absolutely. 632 00:37:10,400 - > 00:37:11,920 I don't know if you saw in the news. 633 00:37:12,000 - > 00:37:15,679 This was uh maybe five or six months ago at this point, but I 634 00:37:15,679 - > 00:37:20,639 believe it was uh Deloitte that they had written a sort. 635 00:37:21,039 - > 00:37:24,559 I need to remember the entire story, but they had written a 636 00:37:24,559 - > 00:37:28,000 sort of research for the Australian government and they 637 00:37:28,000 - > 00:37:31,199 paid them, I don't know, four or five hundred thousand dollars 638 00:37:31,199 - > 00:37:32,320 for that research. 639 00:37:32,559 - > 00:37:36,960 And then the government uh requested a refund back because 640 00:37:36,960 - > 00:37:40,960 it was just an AI written document with full of errors, 641 00:37:41,119 - > 00:37:45,039 and it seemed like nobody had like reviewed it on top of that 642 00:37:45,119 - > 00:37:46,320 or whatever that was like. 643 00:37:46,559 - > 00:37:48,559 So um that wasn't the news a while ago. 644 00:37:48,639 - > 00:37:49,840 I don't know if you saw that story. 645 00:37:49,920 - > 00:37:53,280 I might have gotten some of the details wrong, but yeah, it was 646 00:37:53,519 - > 00:37:55,199 it was interesting to see. 647 00:37:55,679 - > 00:38:00,559 SPEAKER_01: No, so I didn't see that specific one, but those 648 00:38:00,559 - > 00:38:02,960 things are out there all the time. 649 00:38:03,119 - > 00:38:06,320 It you know, it could be the you know, it could be a half million 650 00:38:06,480 - > 00:38:11,440 dollar you know study that was done, or it could be uh you 651 00:38:11,440 - > 00:38:16,960 know, a sales rep that you know improperly used something, you 652 00:38:16,960 - > 00:38:20,800 know, write a thank you letter or a follow-up or whatever it 653 00:38:20,800 - > 00:38:22,079 may happen to be. 654 00:38:22,400 - > 00:38:26,719 Um so yeah, it's just a tool. 655 00:38:26,880 - > 00:38:29,039 That's all it is, is a tool. 656 00:38:29,360 - > 00:38:30,159 SPEAKER_00: Yeah, absolutely. 657 00:38:32,400 - > 00:38:35,840 Uh what would you say is the biggest growth level lever right 658 00:38:35,840 - > 00:38:38,159 now for SaaS companies in 2026? 659 00:38:39,360 - > 00:38:46,320 SPEAKER_01: Um I would say it's customer value realization, but 660 00:38:47,280 - > 00:38:50,880 with the driver, I mean that's kind of a framework that 661 00:38:50,880 - > 00:38:53,280 supports customer adoption. 662 00:38:53,760 - > 00:38:58,079 Um if you you know Gartner talked about this all the time, 663 00:38:58,239 - > 00:39:00,559 Constellation, everyone talks about it. 664 00:39:00,880 - > 00:39:08,000 The percentage of capability and functionality that is sitting on 665 00:39:08,000 - > 00:39:08,800 the shelf. 666 00:39:09,519 - > 00:39:14,480 And you know, you've got companies that are on technology 667 00:39:14,480 - > 00:39:17,599 overload, they're like, why should we be looking at this? 668 00:39:17,679 - > 00:39:22,079 Because we've got five things that you know we didn't deploy 669 00:39:22,239 - > 00:39:25,920 or partially deployed, or whatever it may happen to be. 670 00:39:26,239 - > 00:39:32,400 And the reason that I think that that's the biggest growth lever, 671 00:39:33,519 - > 00:39:37,679 whether it's your install base or whether it's a net new 672 00:39:37,679 - > 00:39:44,400 opportunity, really focusing on driving customer adoption of a 673 00:39:44,400 - > 00:39:48,639 solution ensures that they're going to get more value. 674 00:39:49,519 - > 00:39:53,679 Companies that are getting more value out of your solution are 675 00:39:54,480 - > 00:39:58,480 they're that reference cell, they're going to invest more. 676 00:39:58,639 - > 00:40:03,599 So this kind of goes back to some of the things that haven't 677 00:40:03,599 - > 00:40:05,119 changed at all. 678 00:40:05,280 - > 00:40:05,599 SPEAKER_02: Yeah. 679 00:40:05,760 - > 00:40:08,239 SPEAKER_01: But when the velocity picks up, you know, 680 00:40:08,320 - > 00:40:12,960 we're we're not talking about a four-year ERP deployment that 681 00:40:13,440 - > 00:40:18,480 you know Jeff and Mike and Susan that were in charge of the 682 00:40:18,480 - > 00:40:23,679 selection, you know, a year into it, they're retired, they're 683 00:40:23,679 - > 00:40:26,000 down to the next road, and someone else is holding the 684 00:40:29,440 - > 00:40:33,920 velocity and delivery of values, it's table stakes now. 685 00:40:34,239 - > 00:40:35,039 SPEAKER_00: For sure. 686 00:40:35,280 - > 00:40:36,239 Totally agree. 687 00:40:36,400 - > 00:40:40,239 What is one belief that you have that most people would disagree 688 00:40:40,239 - > 00:40:40,559 with? 689 00:40:41,280 - > 00:40:41,920 SPEAKER_01: Hmm. 690 00:40:42,480 - > 00:40:44,159 It's an interesting one. 691 00:40:44,320 - > 00:40:49,679 Um, so I'll I'll kind of frame this up after I make the 692 00:40:49,679 - > 00:40:50,239 statement. 693 00:40:50,559 - > 00:40:54,800 The best product doesn't always win. 694 00:40:55,280 - > 00:41:01,360 Um, I don't know if most people would disagree with that. 695 00:41:01,679 - > 00:41:06,159 Um, I know that there are a lot of people that disagree with it 696 00:41:06,159 - > 00:41:09,679 because their perspective is that it is the product, it is 697 00:41:09,679 - > 00:41:12,320 the technology, it is the feature function. 698 00:41:12,639 - > 00:41:20,880 Um my belief is that execution is equally important, if not 699 00:41:20,880 - > 00:41:21,119 more. 700 00:41:21,360 - > 00:41:25,519 That's one of the reasons why you see the small, nimble 701 00:41:25,840 - > 00:41:30,960 company that's just entered the market, they've got you know 702 00:41:30,960 - > 00:41:34,079 less than 50% of the functionality and capability, 703 00:41:34,239 - > 00:41:36,559 and they take down the large behemoth. 704 00:41:36,960 - > 00:41:41,039 You know, and and you can have an SVP of sales that's like you 705 00:41:41,039 - > 00:41:43,599 know, we we can insert company name. 706 00:41:43,760 - > 00:41:48,559 Yeah, you know, how did we lose to such and such? 707 00:41:49,280 - > 00:41:53,039 At the end of the day, you were out executed. 708 00:41:54,719 - > 00:41:59,760 You're a big company, you paint sales execution with a really 709 00:42:00,000 - > 00:42:02,480 big paintbrush. 710 00:42:04,320 - > 00:42:10,079 The smaller guy, they're nimble, their founder gets on the phone, 711 00:42:10,480 - > 00:42:13,360 the CTO is highly accessible. 712 00:42:13,760 - > 00:42:17,280 Um, it is about execution. 713 00:42:17,360 - > 00:42:18,400 That's what I believe. 714 00:42:18,880 - > 00:42:24,079 That that's when I work with founders and talking about 715 00:42:24,079 - > 00:42:28,079 competition in the marketplace, that's what I focus on. 716 00:42:28,400 - > 00:42:29,599 SPEAKER_00: Yeah, I love that. 717 00:42:29,679 - > 00:42:32,719 I'm I and I'm actually one of the people that agrees with you. 718 00:42:32,800 - > 00:42:36,960 Um, and I would like to add on top of execution, I would like 719 00:42:36,960 - > 00:42:39,039 to add branding and marketing. 720 00:42:39,280 - > 00:42:43,280 Sometimes you're just visible enough, and you know, compared 721 00:42:43,280 - > 00:42:47,280 to even whatever company, you're just there at the right time at 722 00:42:47,280 - > 00:42:47,679 the right moment. 723 00:42:47,760 - > 00:42:49,679 Sometimes it's a little bit of luck, too. 724 00:42:49,840 - > 00:42:53,840 Um, but on top of execution, I would also add marketing and 725 00:42:53,840 - > 00:42:54,400 branding. 726 00:42:54,559 - > 00:42:56,719 SPEAKER_01: Um you're absolutely right. 727 00:42:56,880 - > 00:43:00,880 And the reason for that is that we're not used to the sales 728 00:43:00,880 - > 00:43:04,400 cycle starting when they pick up the phone and call it. 729 00:43:04,880 - > 00:43:05,039 SPEAKER_00: Right. 730 00:43:06,800 - > 00:43:10,960 SPEAKER_01: They've shortlisted one one way or the other. 731 00:43:11,119 - > 00:43:16,400 So your brand, your market had better be all out there, or 732 00:43:17,840 - > 00:43:21,440 you're you're gonna be listed as, and oh, by the way, we 733 00:43:21,440 - > 00:43:24,719 evaluated this company, this company, and this company. 734 00:43:25,519 - > 00:43:27,280 But they never pick up the phone. 735 00:43:27,599 - > 00:43:28,719 SPEAKER_00: Yeah, absolutely. 736 00:43:28,960 - > 00:43:32,400 Actually, very interesting fact, but I'm still surprised at how 737 00:43:32,400 - > 00:43:35,920 many companies don't pick up their phone if a customer's 738 00:43:35,920 - > 00:43:36,480 calling. 739 00:43:36,719 - > 00:43:38,159 That still surprises me. 740 00:43:38,320 - > 00:43:40,639 And you know what, you've already lost me because I'm 741 00:43:40,639 - > 00:43:43,199 gonna call the next guy, and if they answer, then I'll start 742 00:43:43,199 - > 00:43:43,920 that conversation. 743 00:43:44,079 - > 00:43:47,760 So a whole different topic we can get into, but I wanted to 744 00:43:47,760 - > 00:43:48,880 mention it since you said that. 745 00:43:50,960 - > 00:43:55,039 Okay, do you have a kind of like your biggest hiring mistake 746 00:43:55,039 - > 00:43:56,559 story and what did it teach you? 747 00:43:58,000 - > 00:44:00,800 SPEAKER_01: Um Yes. 748 00:44:01,440 - > 00:44:06,159 And that's when at one point in time, kind of early on in my 749 00:44:06,159 - > 00:44:12,800 career, um, I had this perspective of it was all about 750 00:44:13,760 - > 00:44:15,920 functional knowledge and skill. 751 00:44:16,639 - > 00:44:22,079 And you know, you would go looking for the absolute best 752 00:44:22,079 - > 00:44:28,320 athlete that can do A and B because that's what the market 753 00:44:28,559 - > 00:44:31,519 says is the most important thing. 754 00:44:31,760 - > 00:44:34,639 And I remember being in conversations about headcount 755 00:44:34,639 - > 00:44:39,039 and stuff, and it's like, I need one of these, and I need exactly 756 00:44:39,039 - > 00:44:39,920 one of these. 757 00:44:40,559 - > 00:44:46,400 Reality, you make that higher, and um you end up with one trick 758 00:44:46,400 - > 00:44:47,039 pony. 759 00:44:47,360 - > 00:44:50,719 And or you can, yeah, or you can. 760 00:44:51,280 - > 00:44:55,679 So here's what I look for, kind of from an overall standpoint. 761 00:44:55,920 - > 00:44:59,920 The most in some of the most important things to me are 762 00:45:00,239 - > 00:45:07,440 someone's adaptability, their executive presence, their 763 00:45:07,599 - > 00:45:13,760 ability to communicate, their ability to show empathy. 764 00:45:14,079 - > 00:45:19,199 Um, and then finally, teamwork. 765 00:45:19,519 - > 00:45:22,639 The most important thing, really, fundamentally, when it 766 00:45:22,639 - > 00:45:26,639 all comes down to it, you know, you want skills and you know all 767 00:45:26,639 - > 00:45:28,239 things being equal. 768 00:45:28,960 - > 00:45:32,000 I want to make sure that the people that I'm hiring, if they 769 00:45:32,000 - > 00:45:35,440 aren't wanting to hire them, work to get them to understand 770 00:45:35,440 - > 00:45:36,880 the value of teamwork. 771 00:45:37,119 - > 00:45:42,079 Because you need your entire team to be executing at an art 772 00:45:42,079 - > 00:45:44,239 level to be able to scale. 773 00:45:44,480 - > 00:45:49,280 You know, the the days of having that, and and even to to this 774 00:45:49,280 - > 00:45:51,119 day you hear people talking about it. 775 00:45:51,360 - > 00:45:56,639 Oh my gosh, um Linda does such an amazing job. 776 00:45:56,719 - > 00:46:00,320 You know, she can pull you know this rabbit out of the hat to 777 00:46:00,320 - > 00:46:04,800 save a demo, and we had system problems, and I can always rely 778 00:46:04,800 - > 00:46:05,599 on Linda. 779 00:46:06,079 - > 00:46:13,119 Well, if next year you know I need to be you know doubling the 780 00:46:13,119 - > 00:46:18,719 transactions and opportunities that I have, when Linda's not 781 00:46:18,719 - > 00:46:19,360 going to solve that. 782 00:46:19,519 - > 00:46:26,239 Now, if Linda's a really team-focused person, and she's 783 00:46:26,239 - > 00:46:32,480 always looking to raise everyone, that's gold. 784 00:46:33,280 - > 00:46:37,119 Yeah, what you want to hire with those things. 785 00:46:37,360 - > 00:46:40,480 You know, learning a skill, learning a new programming 786 00:46:40,480 - > 00:46:43,840 language, you know, is absolutely trainable. 787 00:46:44,000 - > 00:46:47,920 I mean, yes, you want people that have a particular industry 788 00:46:47,920 - > 00:46:54,239 background or executive presence, adaptability, 789 00:46:55,599 - > 00:46:56,320 teamwork. 790 00:46:56,400 - > 00:46:57,199 That's gold for me. 791 00:46:57,519 - > 00:46:58,079 SPEAKER_00: Love that. 792 00:46:58,320 - > 00:47:02,159 Do you have an example of maybe how you test that throughout the 793 00:47:02,159 - > 00:47:05,360 interview process in terms of the teamwork or executive 794 00:47:05,360 - > 00:47:08,719 presence that it's kind of taught you, you know, throughout 795 00:47:08,719 - > 00:47:11,840 the years of like, this is a couple of things I can ask to 796 00:47:11,840 - > 00:47:13,199 really weed that out? 797 00:47:14,400 - > 00:47:15,280 SPEAKER_01: Great question. 798 00:47:15,519 - > 00:47:17,360 And um, I do. 799 00:47:17,519 - > 00:47:23,840 I have a very focused um hiring and interview process, and that 800 00:47:23,840 - > 00:47:31,039 goes along with having um peers participate in the interview 801 00:47:31,039 - > 00:47:37,039 process, um, which which is normal, but what I think is um 802 00:47:37,280 - > 00:47:40,800 somewhat special as to what we do is is that not only is it a 803 00:47:40,800 - > 00:47:44,880 matter of, hey, we expect you to do a presentation, we want to 804 00:47:44,880 - > 00:47:48,960 see how you prep for that presentation. 805 00:47:49,119 - > 00:47:51,440 You know, we make sure that people understand you know, 806 00:47:51,519 - > 00:47:55,360 during the interview and hiring process, it's always been, you 807 00:47:55,360 - > 00:48:00,159 know, so you know, maybe you know, you meant you met another 808 00:48:00,159 - > 00:48:03,599 um manager or two, you met a couple peers. 809 00:48:03,840 - > 00:48:06,639 Did you reach back out to them to get some coaching? 810 00:48:07,519 - > 00:48:10,000 Did you ask them to do a dry run? 811 00:48:10,239 - > 00:48:17,599 I mean, we we lay these things out, but that tied to then how 812 00:48:17,599 - > 00:48:20,800 someone executes really shows it. 813 00:48:20,960 - > 00:48:27,280 So we give them an opportunity to demonstrate some of those 814 00:48:27,280 - > 00:48:29,519 behaviors that we just talked about. 815 00:48:29,920 - > 00:48:30,639 SPEAKER_00: I love that. 816 00:48:30,800 - > 00:48:33,440 I actually had a different leader in the podcast a couple 817 00:48:33,519 - > 00:48:38,239 weeks back, and she said that she willingly offers you know 818 00:48:38,400 - > 00:48:43,199 people a dry run in the interview process, and 95% of 819 00:48:43,199 - > 00:48:44,480 them don't take it. 820 00:48:44,800 - > 00:48:47,039 And I was pretty baffled by that number. 821 00:48:47,199 - > 00:48:51,199 Um, but I'm not surprised because I obviously I am in the 822 00:48:51,199 - > 00:48:56,559 hiring cycle a lot as my day-to-day job, but it's it's 823 00:48:56,559 - > 00:49:00,719 still surprising to me that you know the stakes right now for 824 00:49:00,719 - > 00:49:03,280 getting a job are higher than ever. 825 00:49:03,840 - > 00:49:07,679 And there's so much more competition than there's ever 826 00:49:07,679 - > 00:49:08,000 been. 827 00:49:08,480 - > 00:49:13,039 And everybody's like, oh, but how do I, you know, be this like 828 00:49:13,199 - > 00:49:15,760 unicorn person that shows up in front of a company? 829 00:49:15,920 - > 00:49:18,239 If they just hired me, I would show myself. 830 00:49:18,400 - > 00:49:21,360 And the thing is, like, I tell everybody, it's not about being 831 00:49:21,360 - > 00:49:24,559 really a unicorn, it's about doing the small, little, 832 00:49:24,719 - > 00:49:26,239 consistent things to stand out. 833 00:49:26,320 - > 00:49:30,000 And that starts with pre-interview, sending them an 834 00:49:30,000 - > 00:49:33,199 excited to meet note, post-interview, sending them a 835 00:49:33,199 - > 00:49:34,000 thank you note. 836 00:49:34,239 - > 00:49:37,920 It's it's still crazy to me that people think that's so basic, 837 00:49:38,000 - > 00:49:40,239 but like they still don't do it. 838 00:49:40,400 - > 00:49:43,039 Um, and then when you add that up throughout the entire 839 00:49:43,039 - > 00:49:46,719 interview process, you think, wow, RV's like been on top of it 840 00:49:46,719 - > 00:49:47,760 since day one. 841 00:49:47,920 - > 00:49:49,440 You know, it's not just like about once. 842 00:49:49,519 - > 00:49:50,960 And then same thing with the try-runs. 843 00:49:51,199 - > 00:49:53,360 You know, if if I'm being offered that, I will absolutely 844 00:49:53,360 - > 00:49:53,679 take it. 845 00:49:53,760 - > 00:49:56,800 It gives me a chance to get to know the team a little bit 846 00:49:56,800 - > 00:49:57,039 better. 847 00:49:57,119 - > 00:50:00,719 I could scoop out some more info if I needed to, maybe get to 848 00:50:00,719 - > 00:50:03,840 know the hiring manager a little bit more in depth as well. 849 00:50:04,000 - > 00:50:05,199 Like so many things. 850 00:50:05,360 - > 00:50:10,400 And um, yeah, it's kind of sad in my eyes when I see people 851 00:50:10,400 - > 00:50:12,719 that don't take that because it's a huge opportunity for you 852 00:50:12,719 - > 00:50:15,360 to stand out without doing anything too crazy, not to 853 00:50:15,360 - > 00:50:16,800 mention your sharp your skill set. 854 00:50:17,760 - > 00:50:20,639 SPEAKER_01: Here's the last kind of little tidbit for people that 855 00:50:20,639 - > 00:50:26,400 are that are listening um either live or or to the replay, and 856 00:50:26,400 - > 00:50:28,639 it's the importance of the dry run. 857 00:50:29,840 - > 00:50:32,239 It's not about how you deliver that presentation. 858 00:50:32,400 - > 00:50:36,239 I mean, it it is, but here's the important piece. 859 00:50:37,280 - > 00:50:42,159 What did you do with the coaching that you were provided? 860 00:50:43,760 - > 00:50:46,480 Did you take it to heart? 861 00:50:47,280 - > 00:50:51,360 And then did you adjust and adapt? 862 00:50:51,679 - > 00:50:56,159 Because it shows all of those things that you know we've been 863 00:50:56,159 - > 00:50:56,960 talking about. 864 00:50:57,599 - > 00:50:59,199 Can you learn new things? 865 00:50:59,440 - > 00:51:01,599 Yeah, can you adapt with it? 866 00:51:01,840 - > 00:51:07,760 And the team members know to put a little bit of a zinger or put 867 00:51:07,760 - > 00:51:10,480 a little a little bit of teeth in that. 868 00:51:10,800 - > 00:51:14,400 Um, to see if did they listen. 869 00:51:14,800 - > 00:51:16,000 SPEAKER_00: Yeah, so true. 870 00:51:16,159 - > 00:51:18,400 Yeah, that should tell you absolutely coachability. 871 00:51:18,559 - > 00:51:21,519 If I'm giving you coaching points and you don't implement 872 00:51:21,519 - > 00:51:24,000 those, that tells me that that person's not going to be 873 00:51:24,000 - > 00:51:24,800 coachable. 874 00:51:25,199 - > 00:51:27,119 Um, so couldn't agree more. 875 00:51:27,360 - > 00:51:28,559 Mark, thank you so much. 876 00:51:28,719 - > 00:51:30,239 This has been awesome. 877 00:51:30,480 - > 00:51:33,039 Thank you for sharing all this value, just being super 878 00:51:33,039 - > 00:51:35,440 transparent, obviously for joining me. 879 00:51:35,599 - > 00:51:39,199 And there are so much notes to take from this episode, whether 880 00:51:39,199 - > 00:51:41,920 you listen live or you're listening to the podcast 881 00:51:41,920 - > 00:51:42,559 afterwards. 882 00:51:42,719 - > 00:51:45,920 I hope you had your AI note taker on or you just took notes 883 00:51:45,920 - > 00:51:49,039 as your as we were talking or watched a replay. 884 00:51:49,199 - > 00:51:52,400 Um, by the way, Mark, what's the best way for people to connect 885 00:51:52,400 - > 00:51:52,800 with you? 886 00:51:53,039 - > 00:51:56,159 Um, that you'd prefer them to reach out if they wanted to. 887 00:51:56,719 - > 00:51:57,920 SPEAKER_01: Thanks for asking. 888 00:51:58,159 - > 00:52:02,079 Um, like the rest of the world, I'm out there on LinkedIn. 889 00:52:02,480 - > 00:52:06,800 There actually is more than one Mark Nix in the software 890 00:52:06,800 - > 00:52:08,719 industry, and I have met him. 891 00:52:09,119 - > 00:52:13,440 Um make sure it's this. 892 00:52:15,760 - > 00:52:18,800 SPEAKER_00: I will put it in the show notes as well so that 893 00:52:18,800 - > 00:52:21,840 people can can have it easier to access as well. 894 00:52:22,000 - > 00:52:24,239 Uh, but thank you again, everybody, for joining. 895 00:52:24,320 - > 00:52:28,000 Thank you again, Mark, for for coming on and just spending some 896 00:52:28,000 - > 00:52:30,320 time with me and just dropping a lot of value. 897 00:52:30,559 - > 00:52:32,880 I will see you all on the next one.
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