Meeting Title: Brainforge <> Stackblitz: Data Roadmap Date: 2025-03-13 Meeting participants: Luke Daque, Uttam Kumaran, Robert Tseng, Sahana Asokan
WEBVTT
1 00:06:23.480 ⇒ 00:06:24.610 Luke Daque: Hello! Hello!
2 00:06:24.740 ⇒ 00:06:25.410 Uttam Kumaran: Hey?
3 00:06:48.370 ⇒ 00:06:49.790 Uttam Kumaran: Hello! Everyone!
4 00:06:51.300 ⇒ 00:06:52.270 Robert Tseng: Whoa!
5 00:06:52.540 ⇒ 00:06:53.400 Luke Daque: Guys.
6 00:06:55.890 ⇒ 00:07:02.770 Uttam Kumaran: Well, I guess for this I mean I’m happy to kick it off. I think we have a pretty good like document here.
7 00:07:04.040 ⇒ 00:07:26.999 Uttam Kumaran: I mean, I think, going through this. I would I I think we could just kick it off with like, hey, this is what where we’re at right now I’ll sort of talk about month one and 2 where we’re at. I think I would love to kick it to you, Robert and Sahana especially, sonny. I know you only just have a few minutes to just chat through what you see for the next analytics workload, and then we can sort of just dance from there. So.
8 00:07:30.840 ⇒ 00:07:37.720 Sahana Asokan: Yeah, I think I had just sent over or like responded to your thread in the channel of like some ideas I had.
9 00:07:38.197 ⇒ 00:07:43.459 Sahana Asokan: But again, I don’t really know much about, like what they already have, or like what they want. So.
10 00:07:43.830 ⇒ 00:07:47.259 Uttam Kumaran: That’s fine. Everything’s in the document. So if you have a chance to take a look at that, it’s all.
11 00:07:47.260 ⇒ 00:07:47.910 Sahana Asokan: Okay.
12 00:07:48.990 ⇒ 00:07:53.332 Robert Tseng: I I could drive it as well. I I feel I feel good about everything that we’re in there now.
13 00:07:55.240 ⇒ 00:08:05.740 Robert Tseng: I basically, Sahana, you you kind of elaborated on the product health score. I kind of split that up into a separate. I didn’t really go too much depth on that one but there’s a.
14 00:08:06.110 ⇒ 00:08:07.579 Uttam Kumaran: I put a section under and underneath.
15 00:08:07.580 ⇒ 00:08:08.810 Uttam Kumaran: Yeah, we’ll put it.
16 00:08:09.390 ⇒ 00:08:11.980 Robert Tseng: We put a section on there. I’m trying to look at where it is.
17 00:08:12.100 ⇒ 00:08:12.830 Sahana Asokan: Okay.
18 00:08:13.060 ⇒ 00:08:14.190 Sahana Asokan: Oh, got it.
19 00:08:15.040 ⇒ 00:08:16.763 Robert Tseng: But as far as like, kind of
20 00:08:17.440 ⇒ 00:08:41.820 Robert Tseng: I’m just talking about like April may like, definitely kind of like driving data usage on the real side with the things that we’ve already set up to kind of kick off the idea of self service. And then, yeah, with some of those core objectives that Asana I kind of outlined out around uses churn upsells like I kind of detailed out that that could be for for April, and then in May, I think, is kind of
21 00:08:41.919 ⇒ 00:08:47.480 Robert Tseng: probably more appropriate for the product health score. So I kinda I separated those out and then lump them all together
22 00:08:49.770 ⇒ 00:08:55.610 Robert Tseng: in the key blocks. You can see a bit more detail on like samples of like what I’ve kind of selected for each of these things.
23 00:08:56.590 ⇒ 00:09:01.170 Robert Tseng: Yeah, I think I have a good sense of what kind of the or I don’t know what.
24 00:09:01.340 ⇒ 00:09:15.629 Robert Tseng: At the North Star metrics are pretty straightforward. It’s just always just something related to revenue and customers. And then, after that, think for what? Go to market teams care about with activation churn retention, kind of detailed that out there. And
25 00:09:16.139 ⇒ 00:09:22.589 Robert Tseng: I put I put a couple of thoughts around, how do we really measure product engagement
26 00:09:22.940 ⇒ 00:09:24.410 Robert Tseng: and tie it to revenue.
27 00:09:25.960 ⇒ 00:09:31.419 Sahana Asokan: Okay, yeah. Looking at it right now.
28 00:09:35.430 ⇒ 00:09:39.080 Luke Daque: And yeah, just one more thing, utam. I think the real.
29 00:09:39.840 ⇒ 00:09:41.810 Luke Daque: It’s about to expire in 3 days.
30 00:09:41.810 ⇒ 00:09:45.310 Uttam Kumaran: Yeah, yeah, I’m gonna we’re gonna get. We’ll get that over the hump, too.
31 00:09:46.050 ⇒ 00:09:49.609 Uttam Kumaran: Cool terms of signed. I’m talking to Sid from real. So they’re
32 00:09:56.880 ⇒ 00:09:57.600 Uttam Kumaran: okay.
33 00:10:03.160 ⇒ 00:10:05.869 Sahana Asokan: Yeah, I was actually gonna say, like, once we have
34 00:10:06.270 ⇒ 00:10:10.510 Sahana Asokan: even before, like once, we have, like a basic like exact dashboard
35 00:10:10.650 ⇒ 00:10:13.310 Sahana Asokan: similar to Eden. It might be worth
36 00:10:14.030 ⇒ 00:10:19.890 Sahana Asokan: establishing like that. Qbr. Mbr. Kind of situation.
37 00:10:20.300 ⇒ 00:10:28.470 Sahana Asokan: I don’t know if that comes April or May, but.
38 00:10:28.470 ⇒ 00:10:33.160 Robert Tseng: I put it April, for now I mean, these are just like placeholders, but kind of just like.
39 00:10:34.060 ⇒ 00:10:40.520 Robert Tseng: yeah, I mean. So I wish we got that earlier. It’s it’s really harder to change the paradigm like later on. Like, I don’t think.
40 00:10:40.900 ⇒ 00:10:47.330 Robert Tseng: yeah. If as soon as we we have some of these core reports off, we should be reviewing them regularly with them. It’s kind of the way I see it, so.
41 00:10:47.330 ⇒ 00:10:47.740 Sahana Asokan: Okay.
42 00:10:47.740 ⇒ 00:10:48.300 Robert Tseng: Yeah.
43 00:10:49.120 ⇒ 00:10:53.358 Uttam Kumaran: Yeah. And I also think, even if they’re not 100% right, that’s what gets us. The next set of requirements.
44 00:10:53.560 ⇒ 00:10:54.200 Robert Tseng: Exactly.
45 00:10:54.200 ⇒ 00:10:55.410 Uttam Kumaran: The Pm team. Yeah.
46 00:10:56.860 ⇒ 00:10:57.420 Sahana Asokan: Sounds good.
47 00:10:57.722 ⇒ 00:10:59.540 Uttam Kumaran: Mitch said. He’s gonna dial in.
48 00:11:00.880 ⇒ 00:11:05.170 Sahana Asokan: Yeah, I do have to drop in like 10 min. I have to catch a flight. So.
49 00:11:05.170 ⇒ 00:11:08.479 Robert Tseng: Of course. Thanks for your contributions. They’re helpful and kind of
50 00:11:09.140 ⇒ 00:11:11.869 Robert Tseng: great great giving me a framework for this.
51 00:11:12.100 ⇒ 00:11:20.269 Sahana Asokan: So I have a question, I guess, just on like the product side for this org. Do they have a big product team I’m assuming, like Pm’s, and all of that.
52 00:11:22.634 ⇒ 00:11:25.810 Robert Tseng: Think they’re under 30. They’re like 30 to 50 people, right? And then.
53 00:11:25.810 ⇒ 00:11:26.440 Uttam Kumaran: Yeah.
54 00:11:26.440 ⇒ 00:11:33.840 Sahana Asokan: It’s probably plg motion. So it’s probably a lot leaner, very engineering. Heavy. Yeah, interesting.
55 00:11:33.840 ⇒ 00:11:37.541 Uttam Kumaran: I think they they have probably have a few key people, but
56 00:11:38.510 ⇒ 00:11:45.840 Uttam Kumaran: definitely like they’re hiring like, an they’re hiring like an insane amount. So part of what’s gonna be important for them is
57 00:11:46.320 ⇒ 00:11:49.510 Uttam Kumaran: to make sure that each of them has data. Yeah, they only have 30 people.
58 00:11:50.430 ⇒ 00:11:51.050 Sahana Asokan: Okay.
59 00:11:51.490 ⇒ 00:11:58.419 Robert Tseng: There was a podcast that I don’t know if you guys follow Lenny Lenny’s podcast on, on on them. This morning that came out
60 00:11:58.730 ⇒ 00:11:59.989 Robert Tseng: could be a good listen.
61 00:12:00.580 ⇒ 00:12:01.850 Luke Daque: Not really what stats of it.
62 00:12:01.850 ⇒ 00:12:03.330 Sahana Asokan: Uber, ride, Podcast.
63 00:12:03.330 ⇒ 00:12:08.609 Uttam Kumaran: It’s a, it’s like a project product management. Podcast, I listen to some of them.
64 00:12:09.230 ⇒ 00:12:09.860 Robert Tseng: Yeah.
65 00:12:10.080 ⇒ 00:12:15.159 Uttam Kumaran: I like his podcast. But sometimes this is too many work. Podcast, my life is work. And then I’m like this.
66 00:12:16.120 ⇒ 00:12:16.800 Sahana Asokan: Who’s 2?
67 00:12:18.100 ⇒ 00:12:18.490 Uttam Kumaran: It’s.
68 00:12:18.490 ⇒ 00:12:20.069 14803631034: Hey? How’s it going.
69 00:12:20.200 ⇒ 00:12:21.373 Uttam Kumaran: Hey? Good!
70 00:12:21.960 ⇒ 00:12:29.200 14803631034: Sorry I didn’t realize this was gonna be like multiple people on the call. I thought it was just you and me chatting about renewal. So.
71 00:12:29.200 ⇒ 00:12:30.879 Uttam Kumaran: I just want and introduce you to a few
72 00:12:30.880 ⇒ 00:12:35.220 Uttam Kumaran: few other friends. It’s not that. It won’t be that serious. But I just
73 00:12:35.660 ⇒ 00:12:39.225 Uttam Kumaran: I just wanna we’re getting you a couple more people involved
74 00:12:40.140 ⇒ 00:12:48.110 Uttam Kumaran: and dude congrats on all the growth like the you guys are getting so much promo this last week, I mean, your life is probably shambles.
75 00:12:48.452 ⇒ 00:12:54.619 14803631034: It’s a lot. But I mean, things are going good. So that’s, you know, good problems to have.
76 00:12:54.910 ⇒ 00:12:55.580 Uttam Kumaran: Cool.
77 00:12:56.273 ⇒ 00:13:13.339 Uttam Kumaran: Yeah, I guess maybe I’ll just do a little quick. Intro. So, Robert, you have on the call. Is my business partner here at Brainforge. He’s kind of aware of everything that we’re doing for y’all. Luke. Of course, you know we also have Sahana. Sahana is on our team as a senior analyst. She has done a lot of work in sort of b 2 b saas.
78 00:13:13.767 ⇒ 00:13:26.560 Uttam Kumaran: B to C Sas product analytics, earn measurement, arr everything around product, product usage and tying that to revenue. So I thought she’d sort of be perfect for this call, and some of the stuff that we’re like trying to tee up.
79 00:13:27.382 ⇒ 00:13:49.890 Uttam Kumaran: I’ve sort of given them the background on you on the company, so we can probably, just, you know, just jump right in, I think, for the purposes of this call we did prepare a doc. I’ll I’ll send that to you after but you know again. We’re we’re talking to you about your business. So it shouldn’t be anything surprising. Really, I think 1 1 of the things that I briefed the team with is sort of what we’ve been able to do in a month, which is
80 00:13:50.010 ⇒ 00:14:04.709 Uttam Kumaran: from my lens. I feel like we’ve moved pretty fast in terms of getting a lot of the core infrastructure in getting polytomic set up getting the core data marts. Really, the next phase of the project is really trying to move towards getting folks
81 00:14:05.279 ⇒ 00:14:13.329 Uttam Kumaran: comfortable with real versus barometrics and starting to get some of the business teams to actually use real as a source of truth for the reporting.
82 00:14:13.792 ⇒ 00:14:17.220 Uttam Kumaran: Yeah. So really, I see that as like the core
83 00:14:17.310 ⇒ 00:14:43.850 Uttam Kumaran: March and April goal as well as starting to work on on several work streams around product analytics and tying product analytics to revenue. I think that’s like the name of the game. For the next few months. I know we did talk about some stuff on the Hubspot side. I know that’s not really so ready yet, but I do think we we have a couple of very key work streams around. Just building out a great analytics roadmap
84 00:14:44.526 ⇒ 00:14:48.550 Uttam Kumaran: and sort of right now, I guess, just to refresh where we are on the contract, so
85 00:14:48.860 ⇒ 00:15:16.669 Uttam Kumaran: we signed a month to month deal at an hourly rate. We certainly want to try to get this towards something that’s more fixed price for 3 months at least, and we do have, I think, a pretty good roadmap for how we can deliver on our side. Additionally, I’m like, actually extremely happy that that you guys are bringing on those 2 data folks. One key call out there is it? Would. It would be amazing to to have one of those people work directly with us ideally. Just join our stand ups and
86 00:15:16.810 ⇒ 00:15:28.089 Uttam Kumaran: sort of run with us to be our like product owner per se and help us take a lot of that time that you know we’re gonna we’re we would. We would be moving currently on a weekly basis to almost like daily.
87 00:15:28.603 ⇒ 00:15:38.570 Uttam Kumaran: But let me pause. There. Is there anything else before I wanted to sort of let Sahana and Robert just do a quick intro and maybe just talk a little bit about the product analytics stuff that we were mentioning.
88 00:15:40.070 ⇒ 00:16:01.250 14803631034: Yeah, go ahead. Let’s yeah. Let’s do quick. Intro. And then yeah, let’s chat a little bit more about that. I will say I’m I’m just slightly hesitant to sign anything that’s like more than month to month right now, just because with these new people coming on like, I’m gonna be handing over a lot of
89 00:16:01.360 ⇒ 00:16:06.050 14803631034: the ownership to them. And I I wanna really just
90 00:16:06.810 ⇒ 00:16:21.559 14803631034: kind of make sure that you know everyone there is comfortable with everything before we sign anything longer term. So you know, if that doesn’t work for you guys, we could talk about that as well, but that’s that’s sort of where we’re at right now.
91 00:16:22.050 ⇒ 00:16:32.379 Uttam Kumaran: That’s fair, I mean, let’s still go through sort of what we mentioned. I still think whether it’s us or them part of what we’re what we’re proposing. Someone’s got to do. So would love to still walk you through it.
92 00:16:32.380 ⇒ 00:16:33.809 Uttam Kumaran: Yeah. And then happy to. If the
93 00:16:34.170 ⇒ 00:16:43.249 Uttam Kumaran: fall on on someone new. Then we can begin to sort of engage with them again. I think some of the stuff that we’re we’re mentioning. I
94 00:16:43.370 ⇒ 00:16:58.799 Uttam Kumaran: I think it’ll it’ll help us to know who’s coming on and sort of their background. But really some of the stuff, as you know, to even get people into dashboards to get alignment on key metrics, and to sort of start running like weekly or monthly business reviews, like it’s a ton of work. And so that’s the sort of stuff that.
95 00:16:58.800 ⇒ 00:16:59.470 14803631034: Yes.
96 00:16:59.470 ⇒ 00:17:05.400 Uttam Kumaran: I know in the short term, I think we can be really, really helpful on doing versus going in market and trying to get
97 00:17:05.579 ⇒ 00:17:08.320 Uttam Kumaran: some super super senior person to come in and own that and build it.
98 00:17:08.329 ⇒ 00:17:08.749 14803631034: Yeah. No.
99 00:17:08.750 ⇒ 00:17:09.940 Uttam Kumaran: You know, and I know that’s where we fit.
100 00:17:09.940 ⇒ 00:17:10.610 14803631034: The League.
101 00:17:10.619 ⇒ 00:17:11.039 Uttam Kumaran: Yeah.
102 00:17:11.040 ⇒ 00:17:17.139 14803631034: Yes, yes. And I like, I said, I’m even even in the transition, like, we’re gonna need
103 00:17:17.230 ⇒ 00:17:42.719 14803631034: you guys around for that and but yeah, I just I don’t wanna make this decision right now, before I get their input as well because they are both very senior and like, I really trust their opinion. And we just wanna yeah, I just wanna make sure that we’re all aligned as we make a decision there. I think they’re they’re gonna like, you guys, a lot. So like, I’m not too concerned there. But I’m just I’m just being upfront with you guys.
104 00:17:43.010 ⇒ 00:17:43.880 Uttam Kumaran: Cool, perfect.
105 00:17:44.320 ⇒ 00:18:04.490 Uttam Kumaran: And then, yeah, I think this document will actually help, like as a way for them to review what our roadmap is, and sort of getting context there and aligning this with what they think. So maybe Robert and Sauna like, I’ll let you guys. I know Sauna has to drop in just a second. Maybe, Robert, I’ll let you drive this next piece. If you just want to talk about what we’re thinking about this next few months in terms of the product analytics and business reporting side.
106 00:18:05.170 ⇒ 00:18:14.779 Robert Tseng: Yeah, totally. I can do that. I guess. I mean, I don’t know if I wanted to say anything where she dropped, but I can let her let her go. Let her say her piece, and then I’ll then I’ll jump.
107 00:18:15.040 ⇒ 00:18:24.349 Sahana Asokan: Yeah, no. I think I was just gonna say, like, we put together some of the our ideas for the product analytics roadmap. I’m a product data scientist. So I think
108 00:18:24.650 ⇒ 00:18:35.480 Sahana Asokan: I have some context over, like where I see opportunity. But yeah, I just wanted to say, nice to meet you, and I look forward to working with you, but I have a flight to catch, so I need to drop. But I think Robert.
109 00:18:35.480 ⇒ 00:18:38.171 14803631034: Okay, well, yeah, nice to meet you. And
110 00:18:38.850 ⇒ 00:18:40.308 Sahana Asokan: Good luck on your flight.
111 00:18:41.010 ⇒ 00:18:42.180 Sahana Asokan: Yes, bye.
112 00:18:43.830 ⇒ 00:18:59.620 Robert Tseng: Great. That was a perfect timing that all worked out. Yeah, I guess. Hey, Mitch, didn’t say Hi earlier, but I heard great things for about from you, and obviously, that the company’s been been taken off so excited to continue to
113 00:18:59.620 ⇒ 00:19:14.909 Robert Tseng: get to know you and you and the team there. On the as far as like. Kind of how we broke out the roadmap. I kind of see the next phase of analytics kind of being 2 fronts. There’s the product analytics side, where there’s all these metrics that you need to know about how to measure. You know
114 00:19:15.220 ⇒ 00:19:40.090 Robert Tseng: how, how customers come to your product, how they’re using the product. How do you retain your customers and upsell them? That’s 1 piece of it. And then there’s also this like business level reporting where you want the data that you’re learning about your users and how they’re interacting with your product. And you want to be able to push that information around to whether it’s hotspot or whatever other marketing, marketing tools that you have or like, wherever else the business needs it if it’s on the
115 00:19:40.090 ⇒ 00:19:47.310 Robert Tseng: finance side. And so we kind of view one one. The the former probably requires more
116 00:19:47.660 ⇒ 00:19:49.310 Robert Tseng: very heavily like
117 00:19:49.625 ⇒ 00:20:10.049 Robert Tseng: we need to be really embedded in your team. You know. Run, run workshops. Really understand? Like, what are the metrics? That matter? We’re not in the business of like tracking everything under the sun, and then letting you just like just dumping a bunch of data on you. I think that’s maybe like the way that likely legacy Sas product analytics use used to work. But you know, that’s definitely not the name of the game. Now
118 00:20:10.050 ⇒ 00:20:34.579 Robert Tseng: and then the the latter on the workflow integrations is more of just yeah, really, as as new data sources come in and your team up, hey, we have. We have this new tool. And it needs these specific cuts of data like we can, we can either pull it into the data warehouse. We could push it out. And we’re, you know, because we’ve set up the the scaffolding for that already. We could do that super quickly. And that’s that’s I think those things can happen in parallel.
119 00:20:34.630 ⇒ 00:20:47.960 Robert Tseng: And so later on, when you look at the the Doc more detail, we’ve kind of broken down into into those 2 different sections. Happy to kind of jump into wherever you want. You want you want to go. But I think
120 00:20:48.570 ⇒ 00:21:07.249 Robert Tseng: as far as like you being the go to market person. You know, I think our our primary focus would really be helping you to answer 3 questions. You know, what are the user journey milestones that your your users are doing are performing to unlock the initial value. And then what really gets them to stick right? It’s like the whole Facebook concept.
121 00:21:07.760 ⇒ 00:21:14.070 Robert Tseng: hey? Add 7 friends, and then their then their user for for life. Kind of thing. What does that really look like for your product
122 00:21:14.330 ⇒ 00:21:33.670 Robert Tseng: on the church side. It’s you know, what causes users to not just cancel their subscriptions, but reduce product usage and like signal to us that they’re going to end up kind of probably leaving your product soon. And so getting a good sense of that early on super critical for for you know, for that about for the, for the, for the users that you that you probably get.
123 00:21:33.670 ⇒ 00:21:55.890 Robert Tseng: and then on the on the retention or upsell side. It’s just like what do highly engaged users look like, are there certain features that they use that help them? Kind of unlock push to the next tier. I know that you guys have a tiered pricing model, and a lot of your cost is really based on token utilization. So especially for the AI Saas products we’ve worked with. This has been a really critical piece to nail down on like, how do we? Really?
124 00:21:55.890 ⇒ 00:22:20.520 Robert Tseng: It’s really just like arbitrage, right? What’s perceptively high value to the users, but doesn’t actually cost that much tokens for you. And you know, those are like really high about particularly high margin features that you can really push users towards to get the upgrades that they want. So, anyway, just like a few few kind of nuggets to kind of throw your way on like those are the types of questions that we would love to be able to answer for you. In this next phase, like immediately.
125 00:22:22.660 ⇒ 00:22:25.846 14803631034: Yeah, I mean, those all are great, I think.
126 00:22:27.410 ⇒ 00:22:31.552 14803631034: yeah, those product metrics. And then also the
127 00:22:32.620 ⇒ 00:22:38.370 14803631034: the other thing that we’re working on at the moment that is
128 00:22:38.700 ⇒ 00:22:45.490 14803631034: being held up a little bit by some of the engineering requirements. Is the just like the paid acquisition
129 00:22:45.740 ⇒ 00:22:52.739 14803631034: tracking. And right so that we can then go ahead and and optimize our campaigns as
130 00:22:53.980 ⇒ 00:23:07.339 14803631034: as we’re as we’re spending money because we’re we’re really ramping up paid, spend there. So that’s another piece that would also be I I don’t know. I don’t remember if you actually said that, or if that was part of what you guys are having your presentation. But.
131 00:23:08.500 ⇒ 00:23:19.440 Robert Tseng: Yeah, no, I I did not mention that. But yeah, if you’re if you’re already kind of ramping up the paid spend you want like an agnostic view of, like your, the true impact of your ad spend. That’s definitely one of the.
132 00:23:19.440 ⇒ 00:23:19.760 14803631034: Yeah.
133 00:23:19.760 ⇒ 00:23:23.220 Robert Tseng: Things that we end up doing for clients. But yeah, I think.
134 00:23:23.220 ⇒ 00:23:33.969 14803631034: Yeah, cause I, I feel like, yeah, I feel like, if we’re just looking at the data in each ad platform, we’re gonna be in for a bad time, because obviously every ad platform is gonna.
135 00:23:33.970 ⇒ 00:23:36.620 Uttam Kumaran: Story of our story of our life. Mitch. By the way.
136 00:23:36.620 ⇒ 00:23:43.739 14803631034: Yeah, yeah, exactly. So that’s that’s the other piece that we’re working on right now. But yeah, there’s
137 00:23:44.500 ⇒ 00:23:45.800 14803631034: just with
138 00:23:45.950 ⇒ 00:24:03.519 14803631034: the architecture that we currently have. It makes it very difficult for us to like track stuff because we’re this product was not originally supposed to really be a product. And so we were reusing a ton of architecture from our old product. And so it’s like, we’re going between domains and
139 00:24:03.630 ⇒ 00:24:10.220 14803631034: crap like that. So it’s yeah, anyway. But yeah, that’s another piece where it would be great to kind of get
140 00:24:10.740 ⇒ 00:24:16.350 14803631034: your guys’s help and and opinions and all that.
141 00:24:17.220 ⇒ 00:24:35.959 Robert Tseng: Yeah, I know you guys heavily leverage segment. For a lot of your tagging and tracking. And you know, there’s definitely ways that we could help optimize that. Yeah, it sounds like it’s a big like, kind of tag tag management issue at the beginning. And then obviously, it’ll be attribution. Once you continue to diversify the platforms that you’re on.
142 00:24:37.200 ⇒ 00:24:40.770 14803631034: Yep, exactly cool, Mitch. Can you talk about.
143 00:24:40.770 ⇒ 00:24:46.519 Uttam Kumaran: Can you talk a little bit about the team structure currently and like where it’s going broadly across both product
144 00:24:47.360 ⇒ 00:24:51.084 Uttam Kumaran: sales and marketing, but more respected to like
145 00:24:51.800 ⇒ 00:24:56.819 Uttam Kumaran: like. Who would we be interfacing? Does do those people exist yet, you know, kind of deal.
146 00:24:57.830 ⇒ 00:25:00.809 14803631034: Yeah, I mean. So the team structure right now is me
147 00:25:01.220 ⇒ 00:25:25.290 14803631034: and I have. I have like 2 direct reports. But they’re both very marketing focused. We also have a head of sales now, and he has a team of one at the moment, but is also hiring there. We’ve got 2 accepted offers for data engineers. I worked with both of them at Vercel. So they’re starting on the 24, th I believe.
148 00:25:25.926 ⇒ 00:25:35.050 14803631034: And then there’s another like 2 people that are in pipes that are pretty far down. One would be more of like
149 00:25:36.840 ⇒ 00:26:00.540 14803631034: like events and corporate marketing. So she’s she’ll definitely be working more on our like enterprise. Side of things, I would say, and then the other is like a Rev. Ops Guy, who would probably work with you guys a little bit on, like various systems that you might need his help with to like, just get data into the data warehouse if there’s additional stuff there and additional pieces of data. So
150 00:26:01.182 ⇒ 00:26:08.280 14803631034: that’s that’s kind of where we’re at. There on the product side, we’ve got like one pm, and we’ve got maybe like
151 00:26:09.130 ⇒ 00:26:18.339 14803631034: 10 to 15 engineers at the moment we’re trying to staff up engineering more trying to get like a like a Vp of engineering
152 00:26:19.010 ⇒ 00:26:22.160 14803631034: and just more like Ics as well.
153 00:26:22.390 ⇒ 00:26:27.080 14803631034: I’m not sure how quickly we’re gonna move on like additional Pm’s,
154 00:26:29.880 ⇒ 00:26:39.049 14803631034: yeah. But that’s that’s basically the entire company. So there’s we’re like 20 something people. So there’s just not a lot of us right now.
155 00:26:39.050 ⇒ 00:26:39.920 Uttam Kumaran: Cool. Okay.
156 00:26:40.780 ⇒ 00:26:48.280 Robert Tseng: I mean, it sounds like you really growing up. You’re building out a lot of go to market motions, which is great. You know, I think, where we really kind of
157 00:26:48.790 ⇒ 00:27:12.879 Robert Tseng: kind of take take our stand is like we. I think we’re really nimble at helping on the go to market motion. That’s just like most of the companies we work with hyper growth stage kind of stuff. So as you’re doing as you’re hiring, building out your engineering and product teams. Like, yeah, I imagine they’ll probably, you know, there’ll be a lot more, you know, chefs in the kitchen and trying to like build out roadmap there. And so maybe that’s not where we’re gonna really
158 00:27:12.880 ⇒ 00:27:35.959 Robert Tseng: be able to lean in the most. But you know, with your Rev. Ops person. And then with, kind of all this, all the efforts that you’re doing on the paid marketing side, like, I think maybe that there’s like a maybe functional focus that we could end up having rather than saying that. Hey, we’re gonna build you a general analytics roadmap. We could keep it very focused to like kind of your domain, or wherever you feel like the go to market. Teams really need the most support.
159 00:27:37.780 ⇒ 00:27:48.400 14803631034: Yeah. I think definitely on the go to market side for sure. That’s that’s gonna be high priority for me. I do think that there is some value on
160 00:27:48.530 ⇒ 00:27:56.881 14803631034: the product side of things. But like, yeah, we’d have to figure out how to get you guys integrated there. And yeah, and what that looks like. Because,
161 00:27:57.390 ⇒ 00:27:58.890 14803631034: yeah, right now, it’s.
162 00:28:04.170 ⇒ 00:28:05.020 Uttam Kumaran: Think about it.
163 00:28:05.340 ⇒ 00:28:07.210 Uttam Kumaran: Okay, never mind. Sorry you’re back.
164 00:28:08.380 ⇒ 00:28:14.839 14803631034: Okay. Sorry as it’s just really as the engineers think about it, they’ll add random
165 00:28:15.000 ⇒ 00:28:19.880 14803631034: events all over the place, and there’s no real standardization or like
166 00:28:21.190 ⇒ 00:28:24.119 14803631034: real thought to it. So yeah.
167 00:28:27.520 ⇒ 00:28:44.779 Robert Tseng: Okay, Tom, I think something else you add to this is also kind of the data governance piece. Then, sounds like, yeah, there’s just a lot of people kind of go driving at a different different angles. But if the if we could, if we could kind of be that data governance for them, too. I think that’d be really helpful for their stage.
168 00:28:45.450 ⇒ 00:28:49.340 Uttam Kumaran: Cool. And then, yeah, definitely on the ad side, like, if you guys are ramping up, paid, spend?
169 00:28:50.023 ⇒ 00:28:52.959 Uttam Kumaran: We should just start reporting on that, because that’ll help.
170 00:28:53.300 ⇒ 00:29:00.030 Uttam Kumaran: That’s going to become a huge expense layer. And yeah, exactly on the campaign naming stuff. We want to get ahead of.
171 00:29:00.130 ⇒ 00:29:01.010 Robert Tseng: Oh, yeah.
172 00:29:01.260 ⇒ 00:29:07.059 Uttam Kumaran: Yeah, so basically, how you’re naming campaigns and how how we’re attributing that to Cac or whatever.
173 00:29:08.180 ⇒ 00:29:26.089 14803631034: Yeah, so we currently have an agency we’re working with. So I think, yeah, it would be probably great to. So yeah, without seeing your proposal, because obviously, like, I’m don’t have that in front of me. I think I would just say that the
174 00:29:27.940 ⇒ 00:29:33.509 14803631034: like the the marketing paid acquisition piece is going to be
175 00:29:34.000 ⇒ 00:29:39.479 14803631034: something that is like really high priority for me personally right now. So I’d love to
176 00:29:39.650 ⇒ 00:29:49.419 14803631034: really get that piece a little bit ironed out. And you guys help with that would be something I’d really like, yeah.
177 00:29:51.580 ⇒ 00:30:08.799 Uttam Kumaran: Okay, cool. I mean, I feel like, yeah, we had a couple of other items. I think when you get a moment, take a look at. Take a look at that, Doc. But I think we have probably enough to start just building out like, okay, what? What would? What would we do for 3 months. I think it’s helpful in the short term. Probably, Robert, I think the goal here is just to sign another
178 00:30:08.990 ⇒ 00:30:32.489 Uttam Kumaran: thing for a month, and then, ideally, when the new folks come in, we can just have to. We just plan with them on getting them to poke holes through this and just confirm. You know, our involvement, basically and then I think, yeah, if we get their blessing, I think you know, for for both of us, I think it’s helpful. And and honestly, I think we will get the net hourly pricing basically down if we move to something like that, anyways.
179 00:30:33.222 ⇒ 00:30:35.349 Uttam Kumaran: But let’s just continue.
180 00:30:35.510 ⇒ 00:30:38.419 Uttam Kumaran: Maybe we just we’ll put together another month to month
181 00:30:38.530 ⇒ 00:30:42.729 Uttam Kumaran: contract, and then sort of wait for that. The next step to kick off.
182 00:30:43.970 ⇒ 00:30:52.860 14803631034: Yeah, what? Just for my cause. I I can’t remember. I’ve been signing so many contracts recently. Where where are we at with you guys like, what’s the
183 00:30:55.730 ⇒ 00:30:58.189 14803631034: Yeah, what’s what’s the state of that like, when
184 00:30:58.320 ⇒ 00:31:02.269 14803631034: when did the contract go to? Or what’s the yeah?
185 00:31:02.520 ⇒ 00:31:06.410 Uttam Kumaran: Yeah. The contract went. The contract went to last Friday.
186 00:31:07.620 ⇒ 00:31:08.020 14803631034: Okay.
187 00:31:08.020 ⇒ 00:31:11.170 Uttam Kumaran: And so right now, yeah, and we’re just month to month at hourly.
188 00:31:11.360 ⇒ 00:31:16.409 Uttam Kumaran: So we can just sign another. We can just basically sign a, but another one, just basically same thing.
189 00:31:17.610 ⇒ 00:31:18.050 14803631034: Okay.
190 00:31:18.050 ⇒ 00:31:29.589 Uttam Kumaran: I do definitely like, I think what we can do is we want to start kicking off some of these work streams, especially around. Some of the analysis pieces and some of the stuff sales is asking for
191 00:31:30.326 ⇒ 00:31:32.020 Uttam Kumaran: but maybe we just continue
192 00:31:32.020 ⇒ 00:31:34.889 Uttam Kumaran: there. And and as long as. And I think this roadmap
193 00:31:35.310 ⇒ 00:31:40.170 Uttam Kumaran: we’ll give you like the best sense of like on a week to week basis, literally what we’re what we’re trying to tackle
194 00:31:40.681 ⇒ 00:32:03.389 Uttam Kumaran: and then I I do. I think you’ll find it really beneficial. When Sahana gets looped in she’ll start picking together some insights that I think you guys can action on really soon. But additionally, I think, starting to just make sure that that data is accurate versus bare metrics, and that we can start running some sort of weekly review, at least with you on showing you nuggets of insights.
195 00:32:03.957 ⇒ 00:32:09.340 Uttam Kumaran: And answering questions. I think that’ll probably that’ll probably round out march!
196 00:32:09.480 ⇒ 00:32:11.630 Uttam Kumaran: And then we could probably go from
197 00:32:12.050 ⇒ 00:32:14.070 Uttam Kumaran: from there with with the new people.
198 00:32:15.280 ⇒ 00:32:19.959 14803631034: Yeah, okay, I think that sounds like a good idea. So yeah, let’s let’s
199 00:32:20.430 ⇒ 00:32:22.569 14803631034: plan on that. And then if you want to like.
200 00:32:22.850 ⇒ 00:32:31.730 14803631034: throw together, contract or whatever we can. I can just get that signed, and we can just move things forward there and then. Yeah, once we get the new people on, you know. We’ll have
201 00:32:32.150 ⇒ 00:32:37.203 14803631034: some transition time there, as far as just like them getting up to speed and
202 00:32:37.880 ⇒ 00:32:51.129 14803631034: you know, just some knowledge transfer. And then we can start working with them on on. You know where they feel like they want to be doing things and like, where you guys are gonna be able to come in and and help as well. So
203 00:32:51.661 ⇒ 00:32:53.710 14803631034: yeah, I think that sounds good.
204 00:32:54.230 ⇒ 00:33:04.940 Uttam Kumaran: Okay, cool. And yeah, one of our items, too, is on just supporting the onboarding of them. So whenever that’s kicking off. And however, you want us looped in. Let us know we’re we’ll we’re still continuing to make sure everything’s documented.
205 00:33:05.070 ⇒ 00:33:09.330 Uttam Kumaran: and of course everything’s in the repo and stuff, anyway. So we’re sort of ready for them.
206 00:33:10.880 ⇒ 00:33:14.759 14803631034: Awesome. Okay, yeah, that sounds great to me. Then,
207 00:33:15.330 ⇒ 00:33:17.939 14803631034: yeah, send over. Send over the
208 00:33:18.420 ⇒ 00:33:24.720 14803631034: the doc you guys prepared. And when I get a chance a little bit later today I’ll I’ll take a peek at that as well, and I think that’ll
209 00:33:25.128 ⇒ 00:33:27.989 14803631034: that’ll be good for me to see what you all are thinking.
210 00:33:28.440 ⇒ 00:33:29.780 Uttam Kumaran: Okay, okay, perfect.
211 00:33:31.050 ⇒ 00:33:35.999 Uttam Kumaran: Alright. Great. Well, appreciate the time. Thanks. Everyone on here. And then, yeah, we’ll get that over to you today.
212 00:33:37.130 ⇒ 00:33:39.710 14803631034: Okay, awesome. Thanks all. We will talk to you later.
213 00:33:39.710 ⇒ 00:33:40.370 Robert Tseng: Good.
214 00:33:40.370 ⇒ 00:33:40.720 Uttam Kumaran: Thank you.
215 00:33:40.720 ⇒ 00:33:41.749 Robert Tseng: Thanks. Thanks. Mitch.
216 00:33:41.750 ⇒ 00:33:42.160 Uttam Kumaran: Bye.
217 00:33:42.160 ⇒ 00:33:43.000 14803631034: Bye, bye.