Meeting Title: LMNT Q2 Walkthrough Date: 2026-04-06 Meeting participants: Robert Tseng, Jasmin Multani, Advait Nandakumar Menon, Greg Stoutenburg, Uttam Kumaran, Garrett Gibson, Awaish Kumar
WEBVTT
1 00:00:36.550 ⇒ 00:00:42.950 Jasmin Multani: Hey team, give me one second, I’ll be back real quick, I have to… actually… Everyone’s here
2 00:00:43.110 ⇒ 00:00:47.050 Jasmin Multani: I’ll stay on, sorry. Hey everyone, how’s it going?
3 00:00:47.050 ⇒ 00:00:48.179 Uttam Kumaran: Hi. Hi, everyone.
4 00:00:48.180 ⇒ 00:00:48.910 Advait Nandakumar Menon: It goes.
5 00:00:52.730 ⇒ 00:00:53.920 Uttam Kumaran: Squad.
6 00:00:54.140 ⇒ 00:00:55.149 Uttam Kumaran: Good to see everyone.
7 00:00:55.150 ⇒ 00:00:56.060 Greg Stoutenburg: Check it out.
8 00:00:56.230 ⇒ 00:00:57.210 Greg Stoutenburg: Team Element.
9 00:00:57.210 ⇒ 00:01:02.359 Uttam Kumaran: This is great. Well, I was just saying this morning, I think it’s, like, this is one of our…
10 00:01:02.690 ⇒ 00:01:16.920 Uttam Kumaran: more complicated engagements. It’s a very expensive engagement, and that’s why we’ve, like, put, like, really, like, I feel like the dream team together, minus… I don’t know if Oasis aren’t, but, like, we have other dream team people around the company, but,
11 00:01:17.120 ⇒ 00:01:32.260 Uttam Kumaran: Yeah, I mean, I just wanted to get us together. I think I’ve talked to almost everyone here about Element, or if you’re already on Element in one way or another, so I kind of just want to say a couple things out loud, and then just, like, field questions about what the next
12 00:01:32.350 ⇒ 00:01:37.919 Uttam Kumaran: like, 4 or 5 months are gonna look like. I think, you know, I’ve shared this with a few people, but,
13 00:01:38.590 ⇒ 00:01:51.160 Uttam Kumaran: and Jasmine, I think we went into this in detail, is, like, what is complicated about this client? This is a client that’s hit, like, a third type of client that I don’t think we’ve seen. The first client we typically are used to having is, like.
14 00:01:51.320 ⇒ 00:01:56.979 Uttam Kumaran: Crazy startups want to move really fast. They’re just like, give us whatever, even if it’s half-baked.
15 00:01:57.210 ⇒ 00:02:04.379 Uttam Kumaran: And we do that. The second type of client that we worked with is, like, large enterprises. They’re slow because of approvals, or just their…
16 00:02:04.690 ⇒ 00:02:12.670 Uttam Kumaran: Used to going slow, there’s politics. This one is sort of, like, these guys are, like, really rich, and they’re, like, loaded.
17 00:02:12.910 ⇒ 00:02:18.800 Uttam Kumaran: And there sort of is, like, not a real… Like, need to move fast?
18 00:02:19.260 ⇒ 00:02:22.169 Uttam Kumaran: But they do want to win.
19 00:02:22.550 ⇒ 00:02:25.079 Uttam Kumaran: And so, it’s almost like a third door.
20 00:02:25.160 ⇒ 00:02:32.789 Uttam Kumaran: And so, a lot of what I tripped and fell on with this client this quarter was our usual, which is, I’m like, okay, pattern match to…
21 00:02:32.810 ⇒ 00:02:46.129 Uttam Kumaran: one of the two, and then I’m like, cool, like, either we move really fast, or we move slow and methodical. Something in the middle here. And additionally, I think this is one of the clearest examples of, like.
22 00:02:46.240 ⇒ 00:02:56.350 Uttam Kumaran: we need to really make our stakeholder win. And if our stakeholder is not on the exact same page as us, there’s a… there’s a…
23 00:02:56.570 ⇒ 00:02:57.680 Uttam Kumaran: real issue.
24 00:02:57.880 ⇒ 00:03:13.519 Uttam Kumaran: You’re gonna see that this… that our engagement here, a lot of it is gonna be centered around ensuring that Shivani wins at the task that she is given at Element. In that sense, Brainforge will also win.
25 00:03:13.880 ⇒ 00:03:31.390 Uttam Kumaran: And I think this is… typically, this is, like, an underlying theme of a lot of our clients. I’ve just never… it’s… it’s really expressed here. And the fact that it’s expressed through making sure that everything is co-authored together with Shivani, there’s real clear need for things to be, like, crisp.
26 00:03:31.400 ⇒ 00:03:34.929 Uttam Kumaran: In terms of communication, so that anything that
27 00:03:35.240 ⇒ 00:03:49.929 Uttam Kumaran: she signs off, and that’s coming from her team, is, like, just, like, the way she would do it. So there’s a lot of things to just be aware of there. In terms of the actual technical execution, I think we’ve crushed it. We’ve done a great job ingesting on more than 20 sources.
28 00:03:49.930 ⇒ 00:04:00.670 Uttam Kumaran: We’ve modeled a significant amount of work. We’ve stood up the first version of a BI tool. We’ve run discovery throughout the entire company, most of the company. All of the transcripts of which are in
29 00:04:00.750 ⇒ 00:04:05.600 Uttam Kumaran: The platform. And we’re signing a renewal to sort of expand.
30 00:04:05.950 ⇒ 00:04:18.720 Uttam Kumaran: And so, I think we’ve done, on the technical side, I actually have very little worry. I think the risk here comes, like, as a business, we need to level up our communication and our planning standards for this one.
31 00:04:18.810 ⇒ 00:04:35.799 Uttam Kumaran: I think we’re gonna see that every other client that we engage with, their expectations are probably lower than Element, which means if we crush it here, and just do the same thing everywhere, then we… we are… we are far ahead, you know? And so, that’s just a couple things that I wanna…
32 00:04:36.060 ⇒ 00:04:54.569 Uttam Kumaran: highlight, if I could just do one more, which is just, like, where is everybody placed in sort of the team structure? So, to date, this client has started really just me and Awash, actually, believe it or not. We just were… we were handling it both ourselves, and then it sort of grew to include,
33 00:04:54.620 ⇒ 00:05:02.060 Uttam Kumaran: Amber, to include Robert, as all, we’re gearing up for this, like, renewal. We are…
34 00:05:02.130 ⇒ 00:05:06.610 Uttam Kumaran: Tasked in this engagement to support, basically, the foundational
35 00:05:06.690 ⇒ 00:05:21.080 Uttam Kumaran: data platform, to report on and measure, quite a big chunk of Elements business, focusing on commercial and supply chain, so excluding, like, customer service, finance.
36 00:05:21.220 ⇒ 00:05:26.579 Uttam Kumaran: And also excluding, like, OKR strategy, like, what to measure.
37 00:05:27.420 ⇒ 00:05:46.010 Uttam Kumaran: We now have work streams across ingestion, which is, like, primarily Oasia zoning, things landing into Snowflake. We have modeling, again, mostly me and Awash, everything around dbt and the development of the data marts within Snowflake. We also have, like, the infrastructure, right? So, provisioning and procuring.
38 00:05:46.030 ⇒ 00:05:53.899 Uttam Kumaran: Snowflake, dbt, the stuff in GitHub, Omni, Polytomic for ETL, right? So that’s all, like, data info.
39 00:05:54.040 ⇒ 00:06:04.610 Uttam Kumaran: We then have, like, everything that’s… that’s sort of above that. So this is, including Omni and the OmniPilot that Greg is leading. This is…
40 00:06:04.620 ⇒ 00:06:18.909 Uttam Kumaran: basically all the documentation, of, like, what metrics are defined where, where does that documentation live. This is all the project planning that goes into this, so, like, from the ticket, to the project, to the milestone, to the initiative.
41 00:06:19.130 ⇒ 00:06:25.809 Uttam Kumaran: This is the weekly and the set of weekly and bi-weekly meetings with the Element team.
42 00:06:26.340 ⇒ 00:06:33.819 Uttam Kumaran: And then, ultimately, this is, like, making sure that we nail every single one of the objectives and outcomes that we put in the SOW.
43 00:06:34.010 ⇒ 00:06:50.439 Uttam Kumaran: So this client really sounds like an 80% strategy client. You know, most of it is within the strategy and analytics service. I feel really comfortable with our pace and stuff on the data engineering side and modeling side. I think this is going to be a lot of stakeholder management.
44 00:06:50.560 ⇒ 00:06:55.690 Uttam Kumaran: From the strategy team, as well as a lot of, like, okay, are we checking off that
45 00:06:55.840 ⇒ 00:07:11.539 Uttam Kumaran: dashboards are getting approved, that definitions are getting finalized, caveats are getting flagged early, and then getting triaged to the right team, things like that. I can go into the specifics of the, you know, what the outcomes we’re driving towards, but, like.
46 00:07:11.670 ⇒ 00:07:13.290 Uttam Kumaran: Any questions?
47 00:07:13.900 ⇒ 00:07:15.360 Uttam Kumaran: Or any comments?
48 00:07:15.690 ⇒ 00:07:27.600 Uttam Kumaran: Or anything, I mean, maybe I can even let Greg and Awash share, since you guys have been working, you know, on Element for a little bit now. So, yeah, just want to make sure this time is for us.
49 00:07:28.600 ⇒ 00:07:43.569 Garrett Gibson: Are we, so, sorry, just kind of summarizing everything. So, it sounds like we set up a lot of the infrastructure, like Snowflake, you know, dbt, and then building the dashboards. Do we also, like, present the insights and findings and stuff like that back to them?
50 00:07:43.780 ⇒ 00:07:50.550 Uttam Kumaran: Yeah, so for this engagement, it’s… we’re actually doing very little insight generation, and so again…
51 00:07:50.550 ⇒ 00:07:52.730 Garrett Gibson: That’s what we should be, right, as a part of the, like, the.
52 00:07:52.730 ⇒ 00:07:53.890 Uttam Kumaran: Not necessarily.
53 00:07:53.990 ⇒ 00:07:54.640 Garrett Gibson: Oh, okay.
54 00:07:54.640 ⇒ 00:07:59.860 Uttam Kumaran: Not necessarily, which is, again, that’s why it’s gonna sound very interesting.
55 00:07:59.860 ⇒ 00:08:00.390 Garrett Gibson: Because…
56 00:08:00.390 ⇒ 00:08:06.390 Uttam Kumaran: My traditional world is, like, we have the data, let’s start finding out what’s wrong. It’s not the situation.
57 00:08:06.390 ⇒ 00:08:10.669 Garrett Gibson: So maybe we, like, have to work with that, like, their internal teams, kind of, to, like…
58 00:08:11.000 ⇒ 00:08:16.879 Uttam Kumaran: Honestly, most of it is actually just getting it into a place where it can be used for insights.
59 00:08:17.300 ⇒ 00:08:22.380 Uttam Kumaran: Making sure definitions are super crisp, documented, locked down, making sure that.
60 00:08:22.380 ⇒ 00:08:23.980 Garrett Gibson: Every single source.
61 00:08:23.980 ⇒ 00:08:35.770 Uttam Kumaran: It’s all around business logic cementing, and making sure that Omni is set up in a place where, at the end of August, they can begin to move the business into the tool.
62 00:08:35.770 ⇒ 00:08:36.679 Garrett Gibson: So… No problem.
63 00:08:37.320 ⇒ 00:08:39.900 Uttam Kumaran: Even, like, less of that scope, you know?
64 00:08:39.909 ⇒ 00:08:41.169 Garrett Gibson: Yeah, got it.
65 00:08:41.169 ⇒ 00:08:42.519 Uttam Kumaran: Yeah. So, but you’re gonna…
66 00:08:42.520 ⇒ 00:08:43.460 Greg Stoutenburg: illustrate. Yeah.
67 00:08:43.460 ⇒ 00:08:44.460 Uttam Kumaran: No, no, no, no.
68 00:08:44.460 ⇒ 00:09:02.570 Greg Stoutenburg: I’d like to illustrate one of Utam’s points about stakeholder management and, like, what they’re looking for. So, the first call that I was on with Shivani, she started looking at this, well, we were relying on this one, core metrics, now it’s working products, core metrics. Anyway,
69 00:09:03.210 ⇒ 00:09:19.939 Greg Stoutenburg: she was looking at one of these, and was like, you know, what in the world is this? Like, this says metric name, stores with sales, it’s named in the mark, stores with sales. The definition is basically, like, stores with sales. She’s like, this doesn’t tell me anything. And so… and I don’t know how you’re counting this,
70 00:09:19.940 ⇒ 00:09:31.659 Greg Stoutenburg: this sort of, like, attention to detail, she then asked for this column. So this column exists in this spreadsheet, because she was like, I need to know… I want to know exactly, like, so…
71 00:09:31.660 ⇒ 00:09:35.760 Garrett Gibson: Oh, yeah, that kind of makes sense from, like, a query, like, perspective, yeah.
72 00:09:35.760 ⇒ 00:09:38.870 Greg Stoutenburg: Yeah, now, this is not a data person, however, but this is.
73 00:09:38.870 ⇒ 00:09:39.250 Garrett Gibson: Right.
74 00:09:39.250 ⇒ 00:09:42.260 Greg Stoutenburg: like, attention to detail is very, very high, so…
75 00:09:42.260 ⇒ 00:09:44.110 Garrett Gibson: Likewise, I was like… Yeah.
76 00:09:44.110 ⇒ 00:09:46.909 Greg Stoutenburg: Yeah, right. Structure-wise, yeah, for sure, so…
77 00:09:47.360 ⇒ 00:10:00.660 Greg Stoutenburg: Like, this is, and that’s our primary stakeholder there, so, you know, when it comes to what we put in front of her, what we ask to have a call to discuss, like, this level of attention is the standard.
78 00:10:01.110 ⇒ 00:10:01.570 Garrett Gibson: It was…
79 00:10:01.570 ⇒ 00:10:02.420 Greg Stoutenburg: I don’t want to communicate that.
80 00:10:02.420 ⇒ 00:10:09.569 Garrett Gibson: You could even add, like, another column called, like, Database Query, or… I mean, Snowflake query, and then just, like…
81 00:10:09.820 ⇒ 00:10:11.559 Garrett Gibson: Have a sample query of there or something?
82 00:10:12.070 ⇒ 00:10:17.560 Uttam Kumaran: Ultimately, even to go one step further, you should call and be like, what do you want to see?
83 00:10:17.740 ⇒ 00:10:19.340 Garrett Gibson: Yeah, that’s true. What don’t you want to see?
84 00:10:19.340 ⇒ 00:10:24.260 Uttam Kumaran: And we will just do what you say. Like, that’s gonna be the jump on this client, and again.
85 00:10:24.260 ⇒ 00:10:24.610 Garrett Gibson: Yeah.
86 00:10:24.610 ⇒ 00:10:27.219 Uttam Kumaran: A lot of learned from experience here is, like.
87 00:10:27.680 ⇒ 00:10:34.129 Uttam Kumaran: ultimately, she… we have to co-author everything from her, and you’ll see that I think she has a short…
88 00:10:34.640 ⇒ 00:10:40.500 Uttam Kumaran: She has just, like, a short attention for things where we’re, like, we’re, of course, doing everything based on our experience.
89 00:10:40.500 ⇒ 00:10:44.319 Garrett Gibson: Yeah, it’s better to give her more, though, than, like, less, maybe, you know?
90 00:10:44.320 ⇒ 00:10:49.990 Uttam Kumaran: Yeah, or it’s almost over, like, we need to over-ask question, and then…
91 00:10:49.990 ⇒ 00:10:50.470 Garrett Gibson: Yeah.
92 00:10:50.470 ⇒ 00:10:59.650 Uttam Kumaran: sort of take what she needs, sprinkle in our level above that if it needs to. What we did is, like, we just did our usual.
93 00:10:59.860 ⇒ 00:11:01.099 Garrett Gibson: Just really solid.
94 00:11:01.100 ⇒ 00:11:03.360 Uttam Kumaran: But it’s not… it was not her usual.
95 00:11:03.360 ⇒ 00:11:04.700 Garrett Gibson: Yeah. Which is tough.
96 00:11:04.700 ⇒ 00:11:05.289 Uttam Kumaran: Because I’m like.
97 00:11:05.290 ⇒ 00:11:06.010 Garrett Gibson: Right.
98 00:11:06.240 ⇒ 00:11:11.149 Uttam Kumaran: We’re sick, like, we crushed it, this is all this stuff, but she has a point, and that’s good feedback.
99 00:11:11.150 ⇒ 00:11:11.640 Garrett Gibson: back, though.
100 00:11:11.640 ⇒ 00:11:24.570 Uttam Kumaran: It’s good feedback that, like, this is where we’re unique in that we don’t operate, like, you know, like a Cognizant or whatever, where we’re just, like, just a playbook. You can’t go around that. This is where we sort of, like, morph around the client.
101 00:11:24.610 ⇒ 00:11:32.969 Uttam Kumaran: Make it seem like, yeah, okay, we’re changing our entire structure to, like, adhere to you, when in fact it’s just, like, a little bit of the icing on the cake.
102 00:11:33.110 ⇒ 00:11:34.749 Uttam Kumaran: That’s changing, you know?
103 00:11:34.750 ⇒ 00:11:35.090 Garrett Gibson: Yep.
104 00:11:35.090 ⇒ 00:11:38.199 Uttam Kumaran: And actually, I think this is actually, like.
105 00:11:39.080 ⇒ 00:11:50.669 Uttam Kumaran: this actually lowers the stakes a little bit on this client, actually. It’s actually way more about communicating and less about the pace of, like, true technical development, which is, like, so crazy to me, because I’m like…
106 00:11:51.000 ⇒ 00:11:54.249 Uttam Kumaran: I’m like, okay, but that’s it, like…
107 00:11:54.720 ⇒ 00:12:00.419 Uttam Kumaran: for example, Awash and I are pretty far ahead on the modeling, and we’re gonna crush the rest of the models probably in the next…
108 00:12:00.520 ⇒ 00:12:05.399 Uttam Kumaran: Month… And we will be done, probably, for a while, unless feedback comes.
109 00:12:05.650 ⇒ 00:12:06.420 Greg Stoutenburg: Right.
110 00:12:06.420 ⇒ 00:12:20.339 Uttam Kumaran: But again, like, even if I said that out loud, it wouldn’t matter. It’s… the only thing that matters is, like, okay, how far are we from Blobby getting to a point where it’s accurate? How far are we from the dashboards getting signed off by these new VPs?
111 00:12:20.480 ⇒ 00:12:26.589 Uttam Kumaran: in, like, 30 seconds of Shivani saying, like, how is this defined? Can’t you go find that out?
112 00:12:26.900 ⇒ 00:12:31.750 Uttam Kumaran: And that’s the thing… those are the optimizations. Those are the objective functions, you know?
113 00:12:31.920 ⇒ 00:12:34.949 Garrett Gibson: Exactly. Yeah, just fine-tuning, kind of.
114 00:12:36.210 ⇒ 00:12:36.800 Uttam Kumaran: Yes.
115 00:12:38.360 ⇒ 00:12:38.910 Garrett Gibson: Bo?
116 00:12:42.580 ⇒ 00:12:51.679 Jasmin Multani: Okay, so I have a question. I know, you know, I’m now full-time, Garrett’s onboarding, so I wanted to take a…
117 00:12:52.160 ⇒ 00:13:07.110 Jasmin Multani: health check, how is this working group gonna self-manage? I know Eden has, like, a 15-minute sync every morning. Do we know… I know some meetings have been deprecated. As of right now, do we have something for Element?
118 00:13:07.110 ⇒ 00:13:07.700 Uttam Kumaran: No.
119 00:13:07.980 ⇒ 00:13:17.549 Jasmin Multani: Okay, so that… we should… that’s a action item on me. Is it fair to say that we should meet internally twice a week?
120 00:13:18.440 ⇒ 00:13:20.150 Greg Stoutenburg: 2 sounds like a number to me.
121 00:13:21.360 ⇒ 00:13:22.240 Uttam Kumaran: I think that’s fine.
122 00:13:23.300 ⇒ 00:13:24.380 Jasmin Multani: She was good, too. Okay.
123 00:13:24.380 ⇒ 00:13:25.130 Greg Stoutenburg: I like 2.
124 00:13:25.130 ⇒ 00:13:44.739 Uttam Kumaran: Yeah, I think Greg’s doing… I think all of us have been doing a good job of, like, communicating in Slack, like, I think, Aved, you do a great job. I think Greg, like, you do a great job, Awish and I as well. So again, if I was to break out, like, and I think for everybody to also, and especially for Garrett and Jasmine, for you guys to, like, take a look at our linear, and I’ll even pull it up.
125 00:13:44.760 ⇒ 00:13:58.150 Uttam Kumaran: for you guys to see, like, what is the 30,000-foot view of this, and really, ultimately, and again, the real reason we’ve been able to, I think, accomplish this fidelity is because of a lot of our AI. We should be able to look
126 00:13:58.240 ⇒ 00:14:08.490 Uttam Kumaran: All the way from an initiative and an outcome for the client, down to the tickets that can, like, constitute that outcome, and all the way back up.
127 00:14:08.710 ⇒ 00:14:15.550 Uttam Kumaran: And some of that is just gonna be for our management, right? Some of that we may need to do in order to show, like.
128 00:14:15.690 ⇒ 00:14:17.299 Uttam Kumaran: Here’s how we’re tracking.
129 00:14:17.440 ⇒ 00:14:21.240 Uttam Kumaran: So I just want to show you, like, how to get to that, basically, in linear.
130 00:14:22.440 ⇒ 00:14:26.609 Uttam Kumaran: And linear is really flexible, you can go build whatever views you want.
131 00:14:28.740 ⇒ 00:14:35.139 Uttam Kumaran: But if we go to Element and I go to projects, you’re gonna see that these are all the active projects.
132 00:14:35.980 ⇒ 00:14:39.590 Uttam Kumaran: And so in here, you have what are called initiatives.
133 00:14:39.720 ⇒ 00:14:55.610 Uttam Kumaran: So these are, you know, I’m… like, there’s… there’s Jira speak, there’s linear speak. Basically, it’s just different abstractions over… over work, right? So, ideally, what I want to see is that the initiatives ladder to outcomes.
134 00:14:55.700 ⇒ 00:15:03.019 Uttam Kumaran: In the contract. And so, if I just even go one step higher, and show you guys, like, what is in the,
135 00:15:03.470 ⇒ 00:15:05.309 Uttam Kumaran: What’s in the new contract?
136 00:15:05.850 ⇒ 00:15:08.470 Uttam Kumaran: Let me just bear this.
137 00:15:08.780 ⇒ 00:15:14.960 Uttam Kumaran: And then we’ll sort of… then this needs some re-architecting, and maybe, Garrett, I can leave that to you, because this was.
138 00:15:14.960 ⇒ 00:15:15.670 Garrett Gibson: Yeah.
139 00:15:15.670 ⇒ 00:15:17.399 Uttam Kumaran: Probably from 2-3 weeks ago, and then we…
140 00:15:17.400 ⇒ 00:15:20.529 Garrett Gibson: I don’t see it under my projects tab, do I need, like, access to it?
141 00:15:20.530 ⇒ 00:15:27.889 Uttam Kumaran: Yeah, Rico… Rico should be onboarding you onto everything. I don’t… I just don’t think he probably… I don’t think I… we informed him what the assignments were yet, but…
142 00:15:27.890 ⇒ 00:15:31.810 Garrett Gibson: I can, I can, reach out to them to get access to this project.
143 00:15:31.810 ⇒ 00:15:32.360 Uttam Kumaran: Okay.
144 00:15:32.360 ⇒ 00:15:32.990 Garrett Gibson: Yeah.
145 00:15:33.270 ⇒ 00:15:39.159 Uttam Kumaran: So, if you look at, like, our next contract here, we have, like, several work streams. The first is…
146 00:15:39.300 ⇒ 00:15:40.850 Uttam Kumaran: Data Foundations.
147 00:15:41.450 ⇒ 00:15:43.540 Uttam Kumaran: Right? So this is, like, formulas.
148 00:15:43.830 ⇒ 00:15:45.330 Uttam Kumaran: data dictionary.
149 00:15:45.630 ⇒ 00:15:53.960 Uttam Kumaran: As you can see, we’ve tried our best to articulate the workstreams less in a, like, how.
150 00:15:54.140 ⇒ 00:15:57.029 Uttam Kumaran: Is it gonna get done more in, like, what are people getting?
151 00:15:57.370 ⇒ 00:16:04.690 Uttam Kumaran: And then second, hey Robert, we’re just going through, like, each of these.
152 00:16:04.690 ⇒ 00:16:17.379 Robert Tseng: All good. I gave Shivani the feedback that he gave me from the thread, and we debated on a couple things, then we’re ready to send the… I told her I want that invoice going out this week, so…
153 00:16:18.150 ⇒ 00:16:18.520 Robert Tseng: Exactly.
154 00:16:18.930 ⇒ 00:16:20.780 Robert Tseng: Yeah, anyway, not to cut you off, yeah.
155 00:16:20.780 ⇒ 00:16:24.340 Uttam Kumaran: No, no, no, no, no. So then, this…
156 00:16:24.850 ⇒ 00:16:36.139 Uttam Kumaran: I’ll just go through these, and then hit me with questions at the end, just so I’ll just hopefully answer a couple on the way. Second work stream is demand performance, so this is everything around commercial,
157 00:16:36.440 ⇒ 00:16:41.189 Uttam Kumaran: Commercial data modeling and QA. So commercial data marts is, like, money coming in.
158 00:16:41.360 ⇒ 00:16:48.299 Uttam Kumaran: Right? So, everything where money is coming in, whether we’re… that’s from retail, wholesale, or from e-commerce.
159 00:16:48.550 ⇒ 00:16:52.049 Uttam Kumaran: So everything around how they’re selling through each of those channels.
160 00:16:52.660 ⇒ 00:16:55.019 Uttam Kumaran: Worksheet number 3 is marketing visibility.
161 00:16:55.550 ⇒ 00:17:00.019 Uttam Kumaran: So, these are, basically, like, where is ad spend going?
162 00:17:00.190 ⇒ 00:17:02.280 Uttam Kumaran: And how are we acquiring customers?
163 00:17:02.440 ⇒ 00:17:05.649 Uttam Kumaran: So there’s a bunch of things, deliverables here.
164 00:17:06.050 ⇒ 00:17:07.650 Uttam Kumaran: 4 is supply chain.
165 00:17:07.800 ⇒ 00:17:12.090 Uttam Kumaran: And this is the message that Shivani sent, is basically she wants to connect us with the supply chain folks.
166 00:17:12.200 ⇒ 00:17:15.089 Uttam Kumaran: And, there’s a discovery here.
167 00:17:15.200 ⇒ 00:17:18.839 Uttam Kumaran: There’s also, like, we need to set the foundation for…
168 00:17:19.060 ⇒ 00:17:26.380 Uttam Kumaran: basically building the supply chain-related dashboards. What you’ll see here, though, is that, like.
169 00:17:26.550 ⇒ 00:17:34.800 Uttam Kumaran: there isn’t, like, a… I don’t think… there’s only one dashboard that we’ve articulated that we’re gonna build, which is the inventory visibility.
170 00:17:35.130 ⇒ 00:17:39.239 Uttam Kumaran: If you look at supply chain, this is just, like, what is the discovery here?
171 00:17:39.450 ⇒ 00:17:42.739 Uttam Kumaran: So we won’t actually be building anything for supply chain, it’s like…
172 00:17:42.870 ⇒ 00:17:46.269 Uttam Kumaran: Build the… build the foundation plan for supply chain.
173 00:17:46.560 ⇒ 00:17:51.650 Uttam Kumaran: Demand planning, though, we have inventory data, we have sell-through data from the store level.
174 00:17:51.760 ⇒ 00:17:55.020 Uttam Kumaran: So, we will be building a dashboard for that.
175 00:17:55.370 ⇒ 00:18:03.449 Uttam Kumaran: Workstream 5 is everything around BI and self-service enablement. This is the OmniPilot. This is, like, making sure that contract is signed off.
176 00:18:03.570 ⇒ 00:18:06.289 Uttam Kumaran: This is making sure that, like, we have
177 00:18:06.490 ⇒ 00:18:15.890 Uttam Kumaran: we understand, like, what a dashboard is for Element, what a dashboard includes, so Jasmine, this will include hopefully a lot of work that we can turn into standard
178 00:18:16.010 ⇒ 00:18:18.140 Uttam Kumaran: Dashboard design templates.
179 00:18:18.280 ⇒ 00:18:23.430 Uttam Kumaran: In particular in Omni, because we’re doing a… we’re gonna start doing a bunch of… we’re doing a bunch of Omni work already.
180 00:18:23.560 ⇒ 00:18:26.559 Uttam Kumaran: And then training and adoption, so this is, like.
181 00:18:27.060 ⇒ 00:18:42.649 Uttam Kumaran: there’s gonna be potent… we have a group of stakeholders right now that’s in Omni. We do have a plan to roll out Omni after this August timeline, and so I think it’s pretty clear here what’s in that. And then we also have, like, what’s out of scope, so…
182 00:18:42.770 ⇒ 00:18:56.339 Uttam Kumaran: we’re not planning on doing any net new data marts. For example, let’s say we develop what’s needed for a commercial. We develop the dashboard, and Blobby is working, and the VP signs off.
183 00:18:56.490 ⇒ 00:19:02.340 Uttam Kumaran: We’re not signing up for any additional data mart or metric work after that.
184 00:19:02.980 ⇒ 00:19:09.430 Uttam Kumaran: So, all of this is, like, leading up into that, sign off by that VP.
185 00:19:10.100 ⇒ 00:19:16.009 Uttam Kumaran: Second piece is NetSuite, so they’re migrating to NetSuite as their ERP. We basically said, like.
186 00:19:16.980 ⇒ 00:19:21.849 Uttam Kumaran: Like, that’s out of scope, like, any of our involvement with ingesting that or modeling that.
187 00:19:22.140 ⇒ 00:19:24.689 Uttam Kumaran: And then anything related to forecasting.
188 00:19:24.960 ⇒ 00:19:29.220 Uttam Kumaran: Pacing, or goal setting, or, like, goal definitions.
189 00:19:29.440 ⇒ 00:19:40.229 Uttam Kumaran: Right? So commonly, we go into companies and we tell them, like, your OKR should be this, because here’s how it ladders to money, clearly, so you should change your OKR from this to this. We’re not doing that.
190 00:19:41.650 ⇒ 00:19:49.559 Uttam Kumaran: We’re not giving feedback on what it is they’re measuring, we are just helping them measure all of the things that they have right now.
191 00:19:50.340 ⇒ 00:19:53.020 Uttam Kumaran: This is not saying we won’t do that in the future.
192 00:19:53.570 ⇒ 00:19:56.440 Garrett Gibson: Yeah, there’s a lot of items I was gonna say that, like,
193 00:19:56.440 ⇒ 00:19:56.890 Uttam Kumaran: Yes.
194 00:19:56.890 ⇒ 00:20:02.620 Garrett Gibson: the AI stuff is kind of missing, like, the AI capabilities, I think we… Touched about earlier.
195 00:20:03.190 ⇒ 00:20:09.940 Uttam Kumaran: Yeah, so, like, right now there’s nothing… the only AI in this project is standing up the AI lobby tool.
196 00:20:09.950 ⇒ 00:20:11.390 Garrett Gibson: Exactly. Omni.
197 00:20:11.430 ⇒ 00:20:17.499 Uttam Kumaran: So, as you can see, like, in saying yes to a bunch of these things, I think I’m also being, like.
198 00:20:17.740 ⇒ 00:20:19.970 Uttam Kumaran: we’re not… we’re not doing a lot, so if you find.
199 00:20:19.970 ⇒ 00:20:21.289 Garrett Gibson: Yeah, it’s current state.
200 00:20:21.290 ⇒ 00:20:24.289 Uttam Kumaran: like, this is the wrong metric, just…
201 00:20:25.040 ⇒ 00:20:35.709 Uttam Kumaran: take a breath and be like, we’re not questioning the definition. We’re just identifying what it is. If it is undefined, or several definitions, our job is to provide our recommendation.
202 00:20:35.780 ⇒ 00:20:49.019 Uttam Kumaran: One team over here says one thing, and one team here says something, or if no team says anything, and it’s like a net new metric, then we can impart our recommendation, but it is just that. Like, and think about these words…
203 00:20:49.020 ⇒ 00:20:50.370 Garrett Gibson: Definitions captured, right?
204 00:20:50.370 ⇒ 00:20:50.810 Uttam Kumaran: Yeah.
205 00:20:51.810 ⇒ 00:20:54.580 Uttam Kumaran: a recommendation, like, we work with a lot of businesses.
206 00:20:54.750 ⇒ 00:20:55.119 Garrett Gibson: This is called.
207 00:20:55.120 ⇒ 00:20:58.120 Uttam Kumaran: commonly our definition, what do you think, right?
208 00:20:58.120 ⇒ 00:21:00.160 Garrett Gibson: Recommended set of KPIs, right?
209 00:21:00.160 ⇒ 00:21:15.839 Uttam Kumaran: Exactly, exactly. So one thing to continue to harp on is, like, they’re gonna ask us, based on what you’ve seen, we’ve worked with all these sources, we’ve done data within all these areas, what is our recommendation, and what evidence is it built on from our discovery of what we know about Element?
210 00:21:16.300 ⇒ 00:21:17.600 Garrett Gibson: Yeah, absolutely.
211 00:21:18.890 ⇒ 00:21:24.689 Uttam Kumaran: Any questions about this? So, like, if I can simplify it even further, for each of these, we have, like, a dashboard that’s going out.
212 00:21:24.850 ⇒ 00:21:26.280 Uttam Kumaran: the dashboard?
213 00:21:26.910 ⇒ 00:21:34.489 Uttam Kumaran: and Blobby and the definitions are gonna get a fat check mark from some VP, or Shivani, or both.
214 00:21:34.890 ⇒ 00:21:38.259 Uttam Kumaran: We are going for that fat check mark.
215 00:21:38.370 ⇒ 00:21:40.640 Uttam Kumaran: On each of these areas of the business.
216 00:21:40.750 ⇒ 00:21:42.080 Uttam Kumaran: Supply chain…
217 00:21:42.230 ⇒ 00:21:49.809 Uttam Kumaran: We’re only going for, like, the path towards that checkmark as the deliverable. We’re not getting… we’re not gonna get the checkmark, necessarily.
218 00:21:50.410 ⇒ 00:21:54.599 Uttam Kumaran: Well, that’s like the even, like, explain like I’m 2 years old.
219 00:21:54.660 ⇒ 00:21:56.190 Garrett Gibson: On this.
220 00:21:56.190 ⇒ 00:21:57.360 Greg Stoutenburg: That checkmark.
221 00:21:57.360 ⇒ 00:21:58.090 Uttam Kumaran: Yeah.
222 00:21:58.890 ⇒ 00:22:04.349 Uttam Kumaran: And really, this is by design, like, we try to drive her towards saying, like, what does good look like?
223 00:22:04.570 ⇒ 00:22:12.550 Uttam Kumaran: And ultimately, because she is not the subject matter expert or the DRI, the directly responsible individual on any of these.
224 00:22:12.550 ⇒ 00:22:13.290 Garrett Gibson: True.
225 00:22:13.290 ⇒ 00:22:19.320 Uttam Kumaran: the checkmark needs to come from that person, and they are very… they have those VPs, or they’re hiring them.
226 00:22:19.440 ⇒ 00:22:23.580 Uttam Kumaran: And that person will be like, cool, I’m comfortable with… with this.
227 00:22:23.580 ⇒ 00:22:23.970 Greg Stoutenburg: Okay.
228 00:22:23.970 ⇒ 00:22:28.910 Uttam Kumaran: Comfortable with the AI, I’m comfortable with the metrics, I’m comfortable with the dashboard, or set of dashboards.
229 00:22:29.730 ⇒ 00:22:33.789 Uttam Kumaran: And, like, that is the foundation for, like, that business domain.
230 00:22:34.620 ⇒ 00:22:49.839 Greg Stoutenburg: Yeah, for example, just for context, like, we started with retail, modeling retail, defining retail metrics, and so on. The person who’s going to be in charge of retail was hired today, and so ultimately, the things that we’re saying are, you know, this is how it is for retail.
231 00:22:49.900 ⇒ 00:23:01.380 Greg Stoutenburg: they could change if that person, you know, sees it a different way, or wants to, do reports or dashboards that are different from what we’ve discussed with Shivani. So, that’s just something to keep an eye out for.
232 00:23:01.680 ⇒ 00:23:02.170 Uttam Kumaran: Yeah.
233 00:23:02.170 ⇒ 00:23:13.389 Greg Stoutenburg: Ujo, I also wanted to mention slash ask. As I, as I looked at this, it looked like some of the things that are mentioned in Workstream 1 overlap with things that are in the OmniSand-Up Workstream, and I…
234 00:23:13.510 ⇒ 00:23:18.459 Greg Stoutenburg: I don’t know if that was intentional, or if that matters, but, I did see that.
235 00:23:18.670 ⇒ 00:23:24.020 Greg Stoutenburg: Well, up in the data foundations, there were things like,
236 00:23:24.050 ⇒ 00:23:39.460 Greg Stoutenburg: yeah, formulas documented and signed off, right? That’s part of the Omni work, data quality, oh, maybe I was actually looking at Workstream 2, sorry. So, wholesale, retail, e-com, and so on, Walmart versus Target point of sales.
237 00:23:39.460 ⇒ 00:23:39.940 Uttam Kumaran: Yeah.
238 00:23:39.940 ⇒ 00:23:43.950 Greg Stoutenburg: Retailers, like, that’s stuff that’s being worked on as part of the pilot.
239 00:23:44.530 ⇒ 00:23:52.379 Uttam Kumaran: I would say, if you… the pilot is… is enabling Omni for… For this outcome.
240 00:23:52.380 ⇒ 00:23:52.950 Greg Stoutenburg: Fair.
241 00:23:52.950 ⇒ 00:23:59.160 Uttam Kumaran: You kind of see that? So, like, yes, ultimately, Brainforge team is taking this on, we’re all shuffling, but…
242 00:23:59.440 ⇒ 00:24:07.230 Uttam Kumaran: like… One thing, and I think this is fair, is, like, All of these… let’s say it’s August 31st.
243 00:24:07.350 ⇒ 00:24:15.979 Uttam Kumaran: check, check, check, like, there’s a clear way to check these, is all… is mainly what we’re going for. Some of these are cross-cutting, some of these are one business domain, right?
244 00:24:18.380 ⇒ 00:24:19.470 Greg Stoutenburg: Yeah, fair.
245 00:24:22.130 ⇒ 00:24:25.950 Uttam Kumaran: So then, I think probably the last piece I’ll mention is, like.
246 00:24:26.140 ⇒ 00:24:33.309 Uttam Kumaran: Awash and I are gonna continue to push on ingestion and modeling. I think that’s where I’m… my focus is really gonna be.
247 00:24:33.430 ⇒ 00:24:39.900 Uttam Kumaran: But, like, the rest of the folks on this call, you’re all focused on enabling these outcomes.
248 00:24:40.020 ⇒ 00:24:42.189 Uttam Kumaran: And so, like, I think what I’m…
249 00:24:42.380 ⇒ 00:24:46.789 Garrett Gibson: I was also gonna ask, do we have, like, a roadmap for this? Like, a PowerPoint kind of version?
250 00:24:47.190 ⇒ 00:24:47.860 Uttam Kumaran: Not yet.
251 00:24:47.860 ⇒ 00:24:49.399 Garrett Gibson: Okay, I can create one.
252 00:24:49.400 ⇒ 00:24:49.870 Uttam Kumaran: Yes.
253 00:24:49.870 ⇒ 00:24:51.500 Garrett Gibson: swipe one.
254 00:24:51.500 ⇒ 00:24:54.360 Uttam Kumaran: God, thank you.
255 00:24:54.360 ⇒ 00:24:56.950 Garrett Gibson: So, I think a mix of linear plus executives, yeah.
256 00:24:56.950 ⇒ 00:25:01.810 Uttam Kumaran: Exactly, and really, I think, Garrett, it’s like, how are we coming to every meeting and making sure that
257 00:25:02.070 ⇒ 00:25:04.860 Uttam Kumaran: The work that we’re doing, it ladders up to one of these.
258 00:25:04.860 ⇒ 00:25:05.780 Garrett Gibson: Yeah, exactly.
259 00:25:05.780 ⇒ 00:25:14.009 Uttam Kumaran: many of these, and then on every week, how are we basically, like, we check this thing off, or we’re on track to check this off, right?
260 00:25:14.270 ⇒ 00:25:17.749 Garrett Gibson: That way it gives them very clear, visibility.
261 00:25:17.750 ⇒ 00:25:18.360 Uttam Kumaran: Yes.
262 00:25:19.270 ⇒ 00:25:21.900 Uttam Kumaran: I mean, that’s… so this is one last point on that.
263 00:25:22.130 ⇒ 00:25:27.229 Uttam Kumaran: part of this enablement is, like, how do we get Shivani to share the wins upward, right?
264 00:25:27.230 ⇒ 00:25:27.600 Garrett Gibson: Exactly.
265 00:25:27.600 ⇒ 00:25:30.759 Uttam Kumaran: How can we get her to share that, hey, we’re spending this money on Brainforge?
266 00:25:30.760 ⇒ 00:25:34.190 Garrett Gibson: They’re a lot more comfortable showing a nice PowerPoint set.
267 00:25:34.190 ⇒ 00:25:37.380 Uttam Kumaran: Yeah, man, so we have to manage, so we have to help her manage up a bit.
268 00:25:37.380 ⇒ 00:25:42.179 Garrett Gibson: Exactly. Yeah, I agree. No, yeah, I’ll help, help her create some of that material.
269 00:25:43.620 ⇒ 00:25:49.239 Uttam Kumaran: And so we have active… we have active decks going on that I’ll share. I think also one thing…
270 00:25:49.240 ⇒ 00:25:55.699 Garrett Gibson: I have the template, so I can just, like, create a templated roadmap, yeah, and then I’ll share it out with everyone, yeah. Slack, something.
271 00:25:58.690 ⇒ 00:25:59.589 Uttam Kumaran: What else?
272 00:26:02.910 ⇒ 00:26:11.840 Greg Stoutenburg: Yeah, just real quick, just, Garrett, as you’re building that out, especially if it’s going into… if it’s in linear, just keep an eye out for initiatives that already exist. So, like, there is.
273 00:26:11.840 ⇒ 00:26:17.220 Garrett Gibson: Oh, I was gonna use, like, I was gonna use, like, this, what, Utam’s showing, like, the text.
274 00:26:17.530 ⇒ 00:26:25.269 Garrett Gibson: And then I have, like, a template, like, of roadmaps I’ve created before, and then I was just gonna use, like, the Brainforge branding, and then kind of, like…
275 00:26:25.850 ⇒ 00:26:32.310 Uttam Kumaran: Yeah, I think we have, like, some sort of, like… Deck, template, like.
276 00:26:33.510 ⇒ 00:26:36.940 Garrett Gibson: Yeah, I was just gonna, like, use AI to, like…
277 00:26:37.290 ⇒ 00:26:41.500 Garrett Gibson: kind of build it for me, but then I have, like, one I’ve already kind of used, so…
278 00:26:41.500 ⇒ 00:26:42.930 Uttam Kumaran: Yeah, like, take a look at this.
279 00:26:42.930 ⇒ 00:26:46.209 Garrett Gibson: Yeah. I think, Jasmine, you’ve been poking at this.
280 00:26:46.210 ⇒ 00:26:54.309 Uttam Kumaran: Yeah, so, like, Basically, if this could have every layout that could possibly be used, For anything internal, external.
281 00:26:54.550 ⇒ 00:26:55.840 Uttam Kumaran: That would be lovely.
282 00:26:56.910 ⇒ 00:27:02.230 Garrett Gibson: Yeah, I was just thinking just, like, a one-picture, like, roadmap view of all the work streams, like how you kind of outlined in the.
283 00:27:02.440 ⇒ 00:27:02.960 Uttam Kumaran: Yeah, all of it.
284 00:27:02.960 ⇒ 00:27:03.970 Garrett Gibson: Blackfair, yeah.
285 00:27:03.970 ⇒ 00:27:05.949 Uttam Kumaran: Neither me or Hannah did, like.
286 00:27:06.070 ⇒ 00:27:12.009 Uttam Kumaran: 6 or 8 months ago, so… yeah, March 2025. A year ago, actually, sorry. So…
287 00:27:12.010 ⇒ 00:27:12.770 Garrett Gibson: I can create, like.
288 00:27:12.770 ⇒ 00:27:14.040 Uttam Kumaran: Totally worth updating.
289 00:27:14.040 ⇒ 00:27:15.560 Garrett Gibson: We can iterate.
290 00:27:15.560 ⇒ 00:27:16.819 Uttam Kumaran: It’s totally worth updating, yeah.
291 00:27:16.820 ⇒ 00:27:18.100 Garrett Gibson: Cool.
292 00:27:20.830 ⇒ 00:27:21.850 Garrett Gibson: Sounds good.
293 00:27:23.280 ⇒ 00:27:24.580 Uttam Kumaran: Jasmine, I think you had something.
294 00:27:24.580 ⇒ 00:27:32.420 Jasmin Multani: Yeah, I wanted to ask, the different types of FaceTimes that we have with Shivani, so I know it sounds like you have a deck
295 00:27:32.710 ⇒ 00:27:39.109 Jasmin Multani: that you show her, Greg has something, I think Robert also has something, so… what’s the difference?
296 00:27:39.110 ⇒ 00:27:45.230 Uttam Kumaran: Yeah, so let’s agree… let’s also agree on… so I’ll tell you what’s to date, and then I think we could all discuss what we want to do.
297 00:27:45.360 ⇒ 00:27:50.069 Uttam Kumaran: So to date, we’ve met with her on a weekly basis, on Thursdays.
298 00:27:50.370 ⇒ 00:27:56.960 Uttam Kumaran: Okay. He has a end-of-week sort of document that she has to send to her boss that we, like.
299 00:27:57.090 ⇒ 00:28:02.919 Uttam Kumaran: Basically, fit our stuff into. And then we present on what we’ve done in that week, typically.
300 00:28:03.100 ⇒ 00:28:11.760 Uttam Kumaran: Every two weeks, we also meet with the technology team, although I believe… so that’s what we were doing.
301 00:28:11.910 ⇒ 00:28:15.819 Uttam Kumaran: I… I think we changed it, I forgot exactly what we decided.
302 00:28:16.010 ⇒ 00:28:20.230 Uttam Kumaran: So, I think today, I think we can decide. I think, definitely.
303 00:28:20.590 ⇒ 00:28:22.120 Garrett Gibson: Thursday makes sense, I mean, if…
304 00:28:22.170 ⇒ 00:28:25.950 Uttam Kumaran: Yeah, I think Thursday still makes sense. I think I’d like to just…
305 00:28:26.640 ⇒ 00:28:34.179 Uttam Kumaran: like, yeah, include the people that are gonna be able to speak to the work streams. I guess, Robert, do you have a sense of, like.
306 00:28:34.540 ⇒ 00:28:38.309 Uttam Kumaran: how we want to change things up. I mean, right now, Greg is getting
307 00:28:38.410 ⇒ 00:28:44.049 Uttam Kumaran: like, hit up on Slack and stuff like that, I think the rest of us will share that load, which takes some of the day-to-day.
308 00:28:44.190 ⇒ 00:28:47.159 Uttam Kumaran: Right? So there’s just day-to-day stuff that’s, like, ad hoc calls.
309 00:28:47.340 ⇒ 00:28:51.410 Uttam Kumaran: There will be some pre-scheduled calls with external vendors or whatever.
310 00:28:51.920 ⇒ 00:28:58.070 Uttam Kumaran: I think we sort of have this Thursday meeting, but I don’t know, Robert, if you think we should make any changes, or, like, how we even run that.
311 00:28:58.840 ⇒ 00:29:00.090 Uttam Kumaran: Or we can ask her.
312 00:29:00.610 ⇒ 00:29:17.280 Robert Tseng: No, I think we should definitely not let her decide, we should… she’ll just ask for everything, but, like, so you… you do the tech team calls, Utam does tech team calls on Wednesdays, so that’s Utam and Waish. We have a weekly touchpoint with Shivani, and she sometimes brings in Jason.
313 00:29:17.450 ⇒ 00:29:21.679 Robert Tseng: Ideally, we get what I’m out of that, and it’s just me and Jasmine, at least, on there.
314 00:29:21.800 ⇒ 00:29:37.980 Robert Tseng: I have not promised her any of Garrett’s FaceTime at this point, I just wasn’t sure how fast he would ramp, so I’ve just… I mean, I’m sure that she will want to meet him, and I’m kind of just, like, saying, you know, he’s helping kind of with… on the project management side,
315 00:29:38.140 ⇒ 00:29:54.380 Robert Tseng: So, eventually, I could see him being looped into the Thursday. So, I mean, ideally, we just keep it to those two regular, like, weekly touchpoints. Obviously, there’s ad hoc stuff that you guys have to do to, like, meet with the folks that you’re being introduced to, but I would prefer to just keep it to those… those two.
316 00:29:54.380 ⇒ 00:29:54.900 Uttam Kumaran: Yeah.
317 00:29:54.900 ⇒ 00:29:55.730 Garrett Gibson: Makes sense.
318 00:29:56.150 ⇒ 00:29:56.690 Robert Tseng: Yeah.
319 00:29:56.910 ⇒ 00:30:03.410 Robert Tseng: But she’ll… she’ll give… I mean, she’ll randomly Slack call me, is basically the only…
320 00:30:03.410 ⇒ 00:30:03.990 Garrett Gibson: Right.
321 00:30:03.990 ⇒ 00:30:07.389 Robert Tseng: Versus I’m gonna say that’s okay for, for now.
322 00:30:07.390 ⇒ 00:30:08.590 Garrett Gibson: sense? Yeah.
323 00:30:09.080 ⇒ 00:30:12.650 Robert Tseng: So, don’t take random Slack calls from her, just tell her to call me.
324 00:30:13.770 ⇒ 00:30:18.729 Uttam Kumaran: I think that’s a fair… I think that’s a fair point to make, and Greg’s getting his fair share of that, I think, this week.
325 00:30:19.130 ⇒ 00:30:19.610 Garrett Gibson: Right.
326 00:30:19.610 ⇒ 00:30:28.249 Uttam Kumaran: I think you’re gonna find… and again, I’m speaking just from me, and so people may have different working styles, but I think this can feel like…
327 00:30:28.450 ⇒ 00:30:38.509 Uttam Kumaran: okay, like, yeah, you make a phone call or Slack huddle, like, try to create some distance, and create some distance so that you can prepare and, like, be like, this is getting delivered.
328 00:30:38.660 ⇒ 00:30:41.859 Uttam Kumaran: Her chaos, we don’t want to consume that much.
329 00:30:41.860 ⇒ 00:30:43.489 Garrett Gibson: So I think…
330 00:30:43.490 ⇒ 00:30:57.619 Uttam Kumaran: Robert, I agree with you. Like, I think if you and Jasmine can take Thursdays, that’s perfect. I can be on there to talk modeling ingestion, but, like, otherwise I just prep you with what that is. That’d be, like, a huge weight off. I think you, Lupin.
331 00:30:57.730 ⇒ 00:30:59.600 Uttam Kumaran: Greg to speak on Omni.
332 00:30:59.790 ⇒ 00:31:04.179 Uttam Kumaran: If you want, and that’s, like, a good way to go.
333 00:31:06.000 ⇒ 00:31:18.799 Robert Tseng: Yeah, ideally, if she, like… because she does a lot of these exercises where she’s trying to explain the work that we’re doing to different stakeholders, either her boss, which is Phil, or to her counterparts, who many don’t understand what we’re doing.
334 00:31:18.800 ⇒ 00:31:26.750 Robert Tseng: I mean, ideally, we get to a point where Garrett is, like, you know, dialed in enough that he can start to answer some of those
335 00:31:26.750 ⇒ 00:31:31.569 Robert Tseng: take some of those questions. Yeah, I mean, oftentimes.
336 00:31:32.090 ⇒ 00:31:49.250 Robert Tseng: Well, anyway, like, yeah, I don’t… we can talk more about what those… what that looks like, but I mean, I basically had two random calls with her today because she was, like, trying to, like, put words together, you know? So, like, ideally, I would like to not be… I would like to not have to do that anymore.
337 00:31:49.250 ⇒ 00:31:49.840 Garrett Gibson: Yeah.
338 00:31:49.840 ⇒ 00:31:53.139 Robert Tseng: And it would… we will be able to proactively give her the…
339 00:31:53.710 ⇒ 00:31:56.369 Robert Tseng: the messaging that she needs. Yeah, yeah.
340 00:31:56.380 ⇒ 00:32:08.730 Garrett Gibson: Yeah, maybe that’s where kind of the roadmapping comes in, because, like, maybe that she can… like, maybe that’s something we just give her, like, weekly on that Thursday call, and then she can kind of, like, have latest status, like, ask questions, you know.
341 00:32:09.290 ⇒ 00:32:11.340 Garrett Gibson: Look at milestones, things like that.
342 00:32:12.310 ⇒ 00:32:21.319 Robert Tseng: Yeah, but what you’ll find when you… with her is she’ll… she’s very opinionated, but she changes her opinions very quickly, so, like, strong opinions loosely held, which is… just good, I guess, in some way.
343 00:32:21.580 ⇒ 00:32:22.260 Garrett Gibson: But she will focus…
344 00:32:22.260 ⇒ 00:32:30.450 Robert Tseng: flip-flop on things, so she may say it’s okay on one day, and then, you know, the next day, it’ll no longer be okay. So, like, we just have to deal with that.
345 00:32:30.450 ⇒ 00:32:31.689 Garrett Gibson: In a way, right?
346 00:32:31.690 ⇒ 00:32:32.060 Robert Tseng: Yeah.
347 00:32:32.070 ⇒ 00:32:32.640 Garrett Gibson: It is.
348 00:32:32.640 ⇒ 00:32:33.110 Robert Tseng: staff.
349 00:32:33.110 ⇒ 00:32:33.929 Garrett Gibson: So that’s why…
350 00:32:33.930 ⇒ 00:32:44.840 Uttam Kumaran: Yeah, so that’s why we… I think Greg, and Awash, you guys are the only folks here that know how we’ve done previous SOWs. We’re very, very specific on this one.
351 00:32:44.910 ⇒ 00:33:03.469 Uttam Kumaran: because of the risk of, like, you didn’t do this. It’s mostly on the risk of, like, this didn’t get done, or we didn’t do this, and also to defeat the, like, we need to add this thing, right? So we’re… so it’s sort of like a two-can play at this game. We’re gonna be very, very specific with what’s getting delivered.
352 00:33:03.470 ⇒ 00:33:03.850 Greg Stoutenburg: Okay.
353 00:33:03.850 ⇒ 00:33:08.370 Uttam Kumaran: I would say it’s actually great hygiene that we do it this way, it’s just, like.
354 00:33:09.030 ⇒ 00:33:12.180 Garrett Gibson: We can even map the SOW to the roadmap is, like, another thought.
355 00:33:12.180 ⇒ 00:33:13.480 Uttam Kumaran: No, exactly, we have to do that.
356 00:33:13.480 ⇒ 00:33:14.420 Robert Tseng: Yeah, we have to do that.
357 00:33:14.950 ⇒ 00:33:16.399 Uttam Kumaran: Oh, no, It has to happen.
358 00:33:17.880 ⇒ 00:33:20.889 Uttam Kumaran: That’s why I said the initiative name should literally be Workstream 3.
359 00:33:20.890 ⇒ 00:33:22.300 Garrett Gibson: Exactly, yeah.
360 00:33:22.300 ⇒ 00:33:25.780 Uttam Kumaran: Really, I’m talking about being, like, kind of super annoying about this, because…
361 00:33:26.310 ⇒ 00:33:29.980 Uttam Kumaran: I… that’s a huge risk here. And then, also, Robert, I basically said, like, look.
362 00:33:30.550 ⇒ 00:33:34.809 Uttam Kumaran: If we can run this one and apply some of these same standards across the board.
363 00:33:35.060 ⇒ 00:33:39.850 Uttam Kumaran: All the other environments we’re in, in terms of clients, are much more high-trust environments.
364 00:33:39.850 ⇒ 00:33:40.340 Garrett Gibson: Yeah.
365 00:33:40.340 ⇒ 00:33:54.199 Uttam Kumaran: So, like, we will be in good shape. This is a really low-trust environment that we’re not walking into for no fault of our own, and so we just have to bias against that. That may change. I hope that changes, because that’ll make it.
366 00:33:54.200 ⇒ 00:33:54.860 Garrett Gibson: Yeah.
367 00:33:54.860 ⇒ 00:33:57.000 Uttam Kumaran: this even easier, but… Relationship.
368 00:33:57.000 ⇒ 00:33:57.770 Garrett Gibson: We’ll grow, yeah.
369 00:33:57.770 ⇒ 00:33:58.140 Uttam Kumaran: Yes.
370 00:33:58.140 ⇒ 00:33:58.960 Garrett Gibson: Excellent.
371 00:33:58.960 ⇒ 00:33:59.430 Uttam Kumaran: F.
372 00:33:59.430 ⇒ 00:34:00.040 Garrett Gibson: Yep.
373 00:34:00.790 ⇒ 00:34:04.930 Greg Stoutenburg: So, just… just so I’m super clear, don’t take those Shivani calls.
374 00:34:06.210 ⇒ 00:34:09.230 Robert Tseng: No, don’t take them. Don’t take a random call. Yeah.
375 00:34:09.539 ⇒ 00:34:10.329 Greg Stoutenburg: Got it.
376 00:34:10.330 ⇒ 00:34:14.419 Garrett Gibson: Yeah, I agree. I don’t think that’s a good practice anyways, maybe to, like, try to defer to, like…
377 00:34:14.420 ⇒ 00:34:24.360 Uttam Kumaran: Garrett, what’s your, what’s your, I guess Garrett or Jasmine, like, what’s your experience with that from past places, and how did you handle that? Because I’ve only worked in psychotic startups.
378 00:34:24.530 ⇒ 00:34:29.230 Uttam Kumaran: Where, like, dude, if I’m not, like… I’m… they’re gonna call, like, my mom if I don’t pick up.
379 00:34:29.570 ⇒ 00:34:30.920 Jasmin Multani: Oh, no!
380 00:34:30.929 ⇒ 00:34:34.449 Uttam Kumaran: I’m not, like, used… I’m just used to, like… I’m, like, I set really bad… I just…
381 00:34:34.589 ⇒ 00:34:39.739 Uttam Kumaran: I just help. Wherever I can be helpful, it’s not good, so I’m curious, like, what you guys,
382 00:34:40.259 ⇒ 00:34:44.849 Uttam Kumaran: what you guys have seen, or how you guys personally have dealt with it. I think it’s a good learning for everybody.
383 00:34:48.420 ⇒ 00:34:57.210 Jasmin Multani: I mean, the most… the closest analogy to this I have is that, like, Shivani may not be my direct boss, but she’s, like.
384 00:34:57.530 ⇒ 00:35:11.740 Jasmin Multani: I’m considering her a director in a separate org, and we’re competing for the same resources, and she, as a director is competing with my director for the same promo package. So, we all have the same…
385 00:35:11.740 ⇒ 00:35:14.180 Uttam Kumaran: That’s a fair… that’s a good way to think about this, actually.
386 00:35:14.180 ⇒ 00:35:28.340 Jasmin Multani: We’re all staffed on the same product, we have the same mission, but who’s gonna claim the wins and whose vision is gonna help us get there varies.
387 00:35:28.340 ⇒ 00:35:35.320 Jasmin Multani: Because it’s a matter of, like, also business instinct, right? Different directors, they get influenced by either
388 00:35:35.650 ⇒ 00:35:43.360 Jasmin Multani: learning how to bully analysts and get them to do work, or they learn… they gain influence by, like, actually, like.
389 00:35:43.510 ⇒ 00:35:53.370 Jasmin Multani: picking the right people, staffing the right projects to the skill set. So, and you… elephants in the room, like, we know all types of directors get…
390 00:35:53.690 ⇒ 00:35:59.909 Jasmin Multani: staffed and promoted based off of the varying influence tactics that they use.
391 00:35:59.910 ⇒ 00:36:05.179 Uttam Kumaran: this is. This is, like, some type of… there’s some type of weird, interesting politics going on that, like…
392 00:36:05.290 ⇒ 00:36:11.760 Uttam Kumaran: I don’t… and again, it’s for many of the reasons I told you, which is, like, they make a shitload of money with, like, very little people.
393 00:36:12.590 ⇒ 00:36:13.660 Uttam Kumaran: But, so it’s like…
394 00:36:14.170 ⇒ 00:36:18.199 Uttam Kumaran: I don’t know, Robert, if you’ve changed your mind. I feel it’s sort of like a…
395 00:36:18.670 ⇒ 00:36:22.950 Uttam Kumaran: They’re just trying to get in the good graces of this guy that runs the company who, like.
396 00:36:23.090 ⇒ 00:36:32.769 Uttam Kumaran: basically is like a kingmaker. Like, if you… if you stay at this company, you get a little bit of equity, you can kind of become really rich. So I think they’re all sort of like… I mean, I’ve seen this in different ways.
397 00:36:32.900 ⇒ 00:36:35.260 Uttam Kumaran: But… but I’ve never, like…
398 00:36:35.450 ⇒ 00:36:43.189 Uttam Kumaran: So I think that’s what’s happening, like, even just to talk about what the… I think that’s what’s happening here, is, like, there’s, like, an internal play for, like.
399 00:36:43.790 ⇒ 00:36:49.380 Uttam Kumaran: There is, like, This guy that runs this company, it’s a super successful private business.
400 00:36:49.510 ⇒ 00:36:53.139 Uttam Kumaran: They’re gonna reach a billion dollars with less than, like, 60, 70 people.
401 00:36:53.330 ⇒ 00:36:56.380 Uttam Kumaran: They are. Like, billion dollars a year in revenue.
402 00:36:56.580 ⇒ 00:36:58.399 Uttam Kumaran: So, it’s like… Yeah, I agree.
403 00:36:58.400 ⇒ 00:37:16.090 Garrett Gibson: Yeah, Jasmine, it’s… I think it’s important, like, even as a part of the SOW, you have, like, communication, like, standards, you know, like, working with the client, and so that way they know, like, you know, certain cadences, like, when to expect things, and then, like, it sets certain guidelines or guardrails as to, like, you know, how you…
404 00:37:16.170 ⇒ 00:37:19.209 Garrett Gibson: communicate, you know, how the business relationship.
405 00:37:19.210 ⇒ 00:37:22.899 Uttam Kumaran: So we just all have to have good hygiene, and so I also agree, like, I think we all need
406 00:37:23.240 ⇒ 00:37:28.899 Uttam Kumaran: have… I mean, I need to… I’m also improving, too, and, like, what is the hygiene around comms, and, like.
407 00:37:28.900 ⇒ 00:37:29.660 Garrett Gibson: Yeah, it’s even, like.
408 00:37:29.660 ⇒ 00:37:30.410 Uttam Kumaran: Taking a lot less reaction.
409 00:37:30.410 ⇒ 00:37:38.760 Garrett Gibson: making sure we have, like, the criteria outlined in the SOW properly, like, maybe there even needs to be a section in the SOW that, you know, outlines that, just, like, it’s…
410 00:37:39.140 ⇒ 00:37:42.220 Garrett Gibson: You know, more clear with the client. Yeah.
411 00:37:42.220 ⇒ 00:37:42.720 Uttam Kumaran: Yeah.
412 00:37:42.900 ⇒ 00:37:55.880 Jasmin Multani: I think there have been even times where, like, in the part-time process that I’ve looked into things, I’ll tunnel analysts one thing, analysts will have FaceTime with the client, there’s gonna be a net new ask that the client has.
413 00:37:55.880 ⇒ 00:37:57.929 Garrett Gibson: Yeah, that’s bad disconnect, yeah.
414 00:37:57.930 ⇒ 00:38:02.110 Jasmin Multani: And then I’ll log back on, and I’ll be like, wait, when did we discuss this?
415 00:38:02.870 ⇒ 00:38:04.489 Jasmin Multani: Ling you into this.
416 00:38:04.490 ⇒ 00:38:04.930 Garrett Gibson: Oh, yeah.
417 00:38:04.930 ⇒ 00:38:13.839 Jasmin Multani: you into doing more work, like, that’s not okay. Like, this is a unique process, because we all have client work, but in the past, anytime a…
418 00:38:13.840 ⇒ 00:38:27.819 Jasmin Multani: another manager did that with me to get me to do their work, and then they take the claims. But if it fails, it falls back on me. For sure. Direct managers are always like, you tell me first, and I yell at them.
419 00:38:27.820 ⇒ 00:38:40.289 Uttam Kumaran: Really, guys, I will tell you, if the check clears, we’ve won. So this is where… we’re in a great spot, in that we don’t need to play their politics. Our politics is whatever gets them to win, and whatever gets our person to win.
420 00:38:40.640 ⇒ 00:38:40.960 Jasmin Multani: -
421 00:38:40.960 ⇒ 00:38:42.500 Uttam Kumaran: Which is actually very free.
422 00:38:42.500 ⇒ 00:38:44.600 Garrett Gibson: to write a clear contract and deliver on it, right?
423 00:38:44.600 ⇒ 00:39:04.280 Uttam Kumaran: Yes, which is… it’s very freeing, right? Because in these high-politic organizations, you don’t know. It’s not clear that you… all your job is to just help this person shine. And that’s… the benefit of being on the outside is why we started the company, is because, like, that is what holds progress back, and we don’t have to play those games.
424 00:39:04.470 ⇒ 00:39:10.070 Uttam Kumaran: whatever the game she’s playing, just help her win that game, Jasmine, exactly as you said, you know?
425 00:39:10.480 ⇒ 00:39:11.150 Garrett Gibson: Exactly.
426 00:39:11.150 ⇒ 00:39:26.820 Uttam Kumaran: Yeah. And every company, you’ll see, every company has a version of this. Some of them are lighter, like, Greg, like, a default is lighter. Like, I think they’re actually very low politics, like, they’re just trying to win. Then you have some situations where it’s, like, it’s not this type of politics, it’s like an enterprise organization, where it’s…
427 00:39:26.820 ⇒ 00:39:28.080 Garrett Gibson: Yeah, bigger scale, kind of.
428 00:39:28.080 ⇒ 00:39:30.680 Uttam Kumaran: You’ll know this, like, very deep-rooted…
429 00:39:30.680 ⇒ 00:39:34.520 Garrett Gibson: Takes forever, like, weeks to do just, like, tickets, like, for networking.
430 00:39:34.520 ⇒ 00:39:40.569 Uttam Kumaran: Yeah, and you’ll see that, like, when we get into there, we will be, like, soaring, because…
431 00:39:41.210 ⇒ 00:39:47.199 Uttam Kumaran: Yeah, and so this is what I think our business is even learning what it’s like to work in these situations, so…
432 00:39:47.200 ⇒ 00:39:48.310 Garrett Gibson: Cool.
433 00:39:48.610 ⇒ 00:39:54.000 Garrett Gibson: Yeah, I think, just as something I’ve also seen in the past, is, like, the bigger the company, the more…
434 00:39:54.320 ⇒ 00:39:57.270 Garrett Gibson: Like, the more documentation matters, the more…
435 00:39:57.470 ⇒ 00:40:05.140 Garrett Gibson: And, like, what the plan, the more detailed the plan, you know, should be, kind of all those things, you know, executive presentations, you know, stuff like that.
436 00:40:06.160 ⇒ 00:40:06.690 Garrett Gibson: No.
437 00:40:07.410 ⇒ 00:40:14.939 Jasmin Multani: Even with every reorg that I’ve had in previous companies, like, the trust… we have to start zero from around zero.
438 00:40:15.740 ⇒ 00:40:35.239 Jasmin Multani: Because this new head of whatever is inheriting me, and they don’t want to inherit me, so I’ve had, like, conversations with head of departments, and they’ll be like, I… they will play this with me. Be like, I am documenting everything, Jasmine. You have to read this. I’m giving you the option of reading this.
439 00:40:35.240 ⇒ 00:40:35.650 Garrett Gibson: background.
440 00:40:35.650 ⇒ 00:40:37.940 Jasmin Multani: Because I don’t want to hear you.
441 00:40:38.120 ⇒ 00:40:40.490 Uttam Kumaran: Oh, really? That’s crazy! Jeez, jeez.
442 00:40:41.050 ⇒ 00:40:41.640 Uttam Kumaran: What?
443 00:40:42.260 ⇒ 00:40:42.870 Uttam Kumaran: Weirdo.
444 00:40:43.240 ⇒ 00:40:43.820 Garrett Gibson: Yeah.
445 00:40:43.820 ⇒ 00:40:44.310 Jasmin Multani: Very good.
446 00:40:44.310 ⇒ 00:40:45.890 Uttam Kumaran: Just do your job, like, oh my god.
447 00:40:45.890 ⇒ 00:40:46.290 Garrett Gibson: Great job.
448 00:40:46.290 ⇒ 00:40:46.880 Uttam Kumaran: God.
449 00:40:47.740 ⇒ 00:40:50.650 Jasmin Multani: She was my age, and like…
450 00:40:51.130 ⇒ 00:40:54.870 Uttam Kumaran: Because she wanted to let you go, basically? She wanted to find a reason.
451 00:40:55.680 ⇒ 00:41:09.279 Jasmin Multani: The attitude was like, if you give me a reason, I’ll use that reason. And I’m like… but thankfully, I got on her good side. Thankfully, I was like, yeah, I’m just doing this work. I have no other ambition in this org right now.
452 00:41:09.970 ⇒ 00:41:11.939 Jasmin Multani: We’re just trying to keep this job.
453 00:41:11.940 ⇒ 00:41:15.969 Uttam Kumaran: Greg, Greg, how was Stack Over… was Stack Overflow like this at all?
454 00:41:16.350 ⇒ 00:41:29.019 Greg Stoutenburg: I mean, aside from typical attribution battles between sales and marketing, like, there was some of that stuff, but in general, in general, it seemed like a really healthy place to be. But then you’d find out that there were, like.
455 00:41:29.880 ⇒ 00:41:47.180 Greg Stoutenburg: I don’t know, people who follow Stack Overflow closely know that there were, like, various disasters that happened with the, like, in the Stack Overflow community, and that would sometimes have impact on people internally. In general, though, no, it was actually a pretty healthy place to be.
456 00:41:47.180 ⇒ 00:41:48.430 Uttam Kumaran: Okay, cool.
457 00:41:50.930 ⇒ 00:41:51.760 Jasmin Multani: Okay.
458 00:41:51.760 ⇒ 00:41:52.090 Garrett Gibson: Awesome.
459 00:41:52.090 ⇒ 00:41:58.280 Jasmin Multani: Definitely my go-to as I was learning how to use SQL, so shout out to staff.
460 00:42:00.080 ⇒ 00:42:08.199 Greg Stoutenburg: Yeah, so I got my, this was… originally, it was just an April Fool’s joke, but then they manufactured them. I think… I know I’ve showed this to some of you, but it’s the only keyboard any developer needs.
461 00:42:08.330 ⇒ 00:42:09.800 Greg Stoutenburg: Just copy and paste the second flow.
462 00:42:10.940 ⇒ 00:42:13.170 Greg Stoutenburg: This is my… this is my meeting fidget, anytime you hear that.
463 00:42:14.990 ⇒ 00:42:18.149 Greg Stoutenburg: It’s programmable. It actually does, that’s a USB-C port.
464 00:42:19.280 ⇒ 00:42:21.619 Garrett Gibson: Pretty nifty. Yeah, it is neat.
465 00:42:21.620 ⇒ 00:42:23.610 Greg Stoutenburg: I’ve never plugged into anything, I just tap on it.
466 00:42:24.230 ⇒ 00:42:26.329 Jasmin Multani: That’s a good… that’s a good company gift.
467 00:42:26.330 ⇒ 00:42:27.219 Greg Stoutenburg: It’s a good fidget, yeah.
468 00:42:27.220 ⇒ 00:42:30.159 Uttam Kumaran: You should use it for, like, your voice, the voice, the text.
469 00:42:31.090 ⇒ 00:42:37.219 Greg Stoutenburg: Oh, that’d be cool, yeah, so, well, I keep my computer on a stand over here, and I have to reach up, like, ugh, so far away.
470 00:42:37.220 ⇒ 00:42:38.010 Uttam Kumaran: Yes.
471 00:42:38.010 ⇒ 00:42:40.050 Greg Stoutenburg: If I program this, I can sit all the way back here.
472 00:42:40.050 ⇒ 00:42:41.699 Uttam Kumaran: Yeah, exactly, exactly.
473 00:42:43.850 ⇒ 00:42:44.370 Greg Stoutenburg: Alright. Cool.
474 00:42:44.370 ⇒ 00:42:50.979 Uttam Kumaran: Okay, so we have… I just wanna… we have… we’re gonna… Jasmine, do you wanna grab time for those meetings? I’m…
475 00:42:51.510 ⇒ 00:42:55.359 Uttam Kumaran: I don’t think I’m gonna be the best, cause I’m a… Come in and out.
476 00:42:55.760 ⇒ 00:42:58.320 Jasmin Multani: The Monday and Wednesday ones? The twice a week?
477 00:42:58.320 ⇒ 00:42:59.820 Uttam Kumaran: Yeah, twice a week.
478 00:42:59.820 ⇒ 00:43:01.990 Jasmin Multani: Yeah, yeah, yeah, I can do that.
479 00:43:01.990 ⇒ 00:43:15.730 Uttam Kumaran: Yeah, I think Wednesday is good, because we will have this presentation on Thursday, so ideally, Wednesday’s like, whatever’s on fire, unfire it till the Thursday goes too smoothly, and then prep whatever we can for Thursday. I think this week.
480 00:43:15.900 ⇒ 00:43:19.120 Uttam Kumaran: Garrett, if you can get your arms around the project and linear…
481 00:43:19.130 ⇒ 00:43:22.619 Garrett Gibson: Yeah, start doing that roadmapping, like I mentioned, yeah, to get my hands…
482 00:43:22.990 ⇒ 00:43:27.800 Uttam Kumaran: Yeah, I think Yeah, I think Advait, you and Greg are still, like, cruising on Omni stuff.
483 00:43:28.380 ⇒ 00:43:31.339 Uttam Kumaran: I’m gonna… I’ll keep pushing on ingestion with Awash.
484 00:43:31.750 ⇒ 00:43:39.009 Uttam Kumaran: And then, I think Jasmine and Greg… I mean, Jasmine and Robert, you guys are… Account managing, so…
485 00:43:39.010 ⇒ 00:43:39.600 Garrett Gibson: Awesome.
486 00:43:40.230 ⇒ 00:43:48.310 Jasmin Multani: I’ll also never… I will personally never push a recurring meeting on Fridays, so… That’s nice.
487 00:43:48.310 ⇒ 00:43:48.970 Garrett Gibson: Thank you.
488 00:43:48.970 ⇒ 00:43:51.869 Jasmin Multani: For me, I’m like, Monday through Thursday, Fridays, you’re.
489 00:43:51.870 ⇒ 00:43:55.399 Garrett Gibson: Fridays, it’s like, Friday’s getting dead.
490 00:43:55.400 ⇒ 00:43:58.059 Jasmin Multani: Yeah, use that to network, whatever.
491 00:44:01.350 ⇒ 00:44:01.840 Garrett Gibson: Whoa.
492 00:44:01.840 ⇒ 00:44:09.600 Jasmin Multani: Sounds good. Yeah, so after this meeting, I’ll set up those, the cadence and, like, a formalized agenda doc.
493 00:44:09.960 ⇒ 00:44:13.059 Jasmin Multani: So that we can agree on what gets split up.
494 00:44:13.430 ⇒ 00:44:14.190 Uttam Kumaran: Okay. Sounds good.
495 00:44:15.110 ⇒ 00:44:16.459 Jasmin Multani: Alright, he died.
496 00:44:16.460 ⇒ 00:44:16.930 Uttam Kumaran: Okay.
497 00:44:16.930 ⇒ 00:44:18.010 Garrett Gibson: Thank you.
498 00:44:18.010 ⇒ 00:44:18.730 Uttam Kumaran: Bye.
499 00:44:18.730 ⇒ 00:44:19.650 Garrett Gibson: Bye. See you later.