Meeting Title: Zoom-Meeting Date: 2024-08-14 Meeting participants: Robert Tseng, Uttam Kumaran
WEBVTT
1 00:05:29.510 ⇒ 00:05:30.095 Uttam Kumaran: Yo.
2 00:05:31.850 ⇒ 00:05:32.820 Robert Tseng: Hey! Vitam.
3 00:05:32.970 ⇒ 00:05:34.218 Uttam Kumaran: And what’s up? Dude.
4 00:05:36.640 ⇒ 00:05:38.310 Robert Tseng: Long time, no see.
5 00:05:40.340 ⇒ 00:05:41.851 Uttam Kumaran: I know. How’s life?
6 00:05:43.470 ⇒ 00:05:50.720 Robert Tseng: Oh, it’s I don’t know. I feel like this week’s kind of kind of disorienting. But it’s been. It’s been good
7 00:05:51.050 ⇒ 00:05:53.859 Uttam Kumaran: Like new guys, new new folks on the team.
8 00:05:54.980 ⇒ 00:06:06.129 Robert Tseng: So I mean, I’m going to la next week. I’m gonna like, do a little off site with the team. They’ve kind of been working with me for like 4 weeks at this point, or like at before next week. So
9 00:06:06.140 ⇒ 00:06:11.100 Robert Tseng: so evaluating kind of what people’s strengths are, and like kind of where where to fit them in.
10 00:06:13.660 ⇒ 00:06:17.090 Robert Tseng: yeah, I mean with one with one with one.
11 00:06:17.680 ⇒ 00:06:29.879 Robert Tseng: there’s 2. There’s 2 new people, one of them. It’s like pretty easy to see, like a good fit. The other one I feel like is just really struggled to like plug in so not really sure how to handle that one. So
12 00:06:30.550 ⇒ 00:06:42.880 Robert Tseng: yeah, I mean, I think you mentioned this before, like, I think you just offhandedly said, like, yeah analysts for you. You think that you could only staff an analyst on like one or 2 projects, because there’s so many. So there’s so much context.
13 00:06:43.230 ⇒ 00:06:49.229 Robert Tseng: And a lot of people aren’t great at context switching. I mean, I don’t think anybody would be at switching all the time.
14 00:06:49.230 ⇒ 00:06:51.930 Uttam Kumaran: I don’t know. I think we’re pretty good now.
15 00:06:52.830 ⇒ 00:07:03.339 Robert Tseng: Yeah, but I’m definitely seeing the the struggle. I think one person can handle like 2, and then the other one, like barely does like barely can do one, in my opinion, so.
16 00:07:03.340 ⇒ 00:07:09.029 Uttam Kumaran: I think I think there just takes a level. And I I describe it as like, I tell people you need to bear hug
17 00:07:09.080 ⇒ 00:07:11.000 Uttam Kumaran: this client like, yeah.
18 00:07:11.180 ⇒ 00:07:13.960 Uttam Kumaran: Talk to every single person every day
19 00:07:14.130 ⇒ 00:07:19.500 Uttam Kumaran: who cares? Just like whatever it takes. And I’m I’m finding the same thing where
20 00:07:19.630 ⇒ 00:07:25.250 Uttam Kumaran: there’s just like a need for proactivity that in engineering that maybe
21 00:07:25.400 ⇒ 00:07:28.160 Uttam Kumaran: like because you have longer sla’s
22 00:07:28.320 ⇒ 00:07:31.189 Uttam Kumaran: or like, you have someone that can gather the requirements
23 00:07:31.240 ⇒ 00:07:35.720 Uttam Kumaran: you don’t need to. But an analyst, I’m like, you need to be like, basically
24 00:07:36.370 ⇒ 00:07:38.809 Uttam Kumaran: in the brain of like those people
25 00:07:38.820 ⇒ 00:07:42.069 Uttam Kumaran: and like, think through what they need. And like again. Maybe that’s just like.
26 00:07:42.410 ⇒ 00:07:52.980 Uttam Kumaran: that’s a good analyst versus like a bad one. Yeah. But okay, then then that’s that’s what I need to do like, even for even for one of our clients. Now, I actually, I was just interviewing. And
27 00:07:53.050 ⇒ 00:08:08.640 Uttam Kumaran: I’m interviewing a guy. And I honestly think I had this conversation today where I think we’re going to go with him. But he’s like, probably like double the cost of our current analyst. But I could tell he’s like worked with, like very senior people
28 00:08:08.820 ⇒ 00:08:15.129 Uttam Kumaran: can like actually do a lot of the job that, like Nico has to do in addition to them. And
29 00:08:15.410 ⇒ 00:08:19.630 Uttam Kumaran: like, I kind of woke up was like, Yeah, okay, I’m just gonna let have to like move that person off
30 00:08:19.710 ⇒ 00:08:20.830 Uttam Kumaran: because
31 00:08:21.370 ⇒ 00:08:31.909 Uttam Kumaran: I can no longer have like Nico chase requirements and then be like this person should have just gone and talked to that person, the stakeholder. And
32 00:08:32.110 ⇒ 00:08:33.439 Uttam Kumaran: and then it’s like
33 00:08:33.940 ⇒ 00:08:40.280 Uttam Kumaran: they’re asking Nico for like a Cac report, and it’s like, why didn’t they ask this person? Well, that person clearly doesn’t respond on time.
34 00:08:40.289 ⇒ 00:08:40.859 Robert Tseng: Hmm.
35 00:08:40.860 ⇒ 00:08:54.880 Uttam Kumaran: There’s just these, there’s just these things where and the thing is like, Nico is very nice like. And I think people. This people are very kind, but I’m like a Hey, I don’t. This isn’t like a kindness. 1st thing, it’s like that person. This person may be right for a different job.
36 00:08:54.960 ⇒ 00:09:01.629 Uttam Kumaran: Right? Like in this job, in in this specific role for this client, it requires like a level of like
37 00:09:01.730 ⇒ 00:09:03.929 Uttam Kumaran: just consuming them with like.
38 00:09:04.230 ⇒ 00:09:18.360 Uttam Kumaran: okay, why do you need like coercing them to the next thing? And we can’t do this. We have like a hands off attitude. And so that’s it, like, maybe there’s another client where, like we can do it with like a little bit of a hands off, or we get a lot of inbound. But
39 00:09:18.940 ⇒ 00:09:28.160 Uttam Kumaran: I was talking to Nico this morning. And I’m like, we’re just gonna have a rolodex of people that like will also have a dimension. That’s just basically like what kind of what’s their way of working.
40 00:09:28.160 ⇒ 00:09:28.750 Robert Tseng: Yeah.
41 00:09:28.750 ⇒ 00:09:35.409 Uttam Kumaran: Like super proactive versus not. But then also we’ll have like, what’s their rate versus not like, what are the things they’re good at versus not. And like.
42 00:09:35.470 ⇒ 00:09:43.791 Uttam Kumaran: I didn’t think of this dimension in, I just didn’t have the context in in the analyst world what those dimensions were. And now I, kind of
43 00:09:44.140 ⇒ 00:09:47.500 Uttam Kumaran: yeah, better sense. Yeah.
44 00:09:47.500 ⇒ 00:09:54.270 Robert Tseng: Yeah, that makes a lot of sense to me. I feel like I’m seeing like a similar thing. I haven’t really like formalized it in this way that you’re.
45 00:09:54.270 ⇒ 00:10:14.590 Uttam Kumaran: I’ve been thinking in the last 3 days because I’m getting really pissed off. And I’m like, don’t say it. Just like, think through what you’re gonna say before you like, say anything about like moving people out or firing people, or whatever like. Just think it through. Is this like the right decision. However, every month I’ve been trying to improve this problem for the last 2 months.
46 00:10:14.760 ⇒ 00:10:20.560 Uttam Kumaran: and the only thing I know how to do is like we have to make decisions like, I can’t be like, let’s try to keep trying.
47 00:10:20.790 ⇒ 00:10:21.490 Robert Tseng: Yeah.
48 00:10:21.490 ⇒ 00:10:24.370 Uttam Kumaran: When? And yeah, so.
49 00:10:25.200 ⇒ 00:10:27.642 Robert Tseng: Yeah, no, I I feel you.
50 00:10:29.020 ⇒ 00:10:39.033 Robert Tseng: yeah, I want. I want to catch up more. But I do 25 min. So let’s just jump into it for now. I’ll give you. I’ll catch you up a bit on this on this.
51 00:10:39.370 ⇒ 00:10:53.579 Robert Tseng: yeah. So basically, Ecom client working with them for a while. Now it’s been like 2 months. And yeah, we built out a bunch of stuff and amplitude for them. Now we’re running up against the okay, I think there’s we’ve built out a good use case to like. Or enough.
52 00:10:53.930 ⇒ 00:11:19.219 Robert Tseng: yeah, we. We’ve gathered enough used cases to be like, okay, I think that makes sense to turn on the data warehouse now. And so they’re like, Okay, great like, come back to us with the proposal and so that’s what I’m hoping to bring to them tomorrow. And yeah, I know you wanted to spend some time today like kind of like jotting down notes on a proposal. But yeah, I don’t know, I guess. How. How do you think we should spend the spend this, spend this chat like, what? What do you need?
53 00:11:19.950 ⇒ 00:11:26.019 Uttam Kumaran: Yeah, I mean, a lot of us want to learn from this. Iteration is how it was different, how we want to handle this differently
54 00:11:26.210 ⇒ 00:11:45.169 Uttam Kumaran: for versus what we did for Stella, right to look back on what we did for Stella. We put together that document. I guess basically outlining problem. There’s some stuff in there that you know. I’m sure that you’re going to be reusing but also kind of thinking through like what was helpful for them what wasn’t helpful for them at the proposal stage.
55 00:11:45.170 ⇒ 00:11:45.860 Robert Tseng: Yeah.
56 00:11:45.860 ⇒ 00:11:50.670 Uttam Kumaran: And also want to think about like for Friday. I’m I’m spending a lot of time this week
57 00:11:51.310 ⇒ 00:11:55.419 Uttam Kumaran: like writing on process stuff. So I would love to say, like
58 00:11:56.190 ⇒ 00:12:09.869 Uttam Kumaran: for any client that goes through the same format. Here’s basically like how we, how we attack it. What are the things that unique to them. What are the things where, maybe, if there needs to be more information or things about the technology, I can go ahead and fill those out. So.
59 00:12:09.870 ⇒ 00:12:15.779 Robert Tseng: Yeah, I realize I don’t have my recorder in here. So I’m gonna just bring him in. So I can just chat.
60 00:12:18.100 ⇒ 00:12:25.489 Robert Tseng: Yeah. So okay, let me pull up the Stella, Doc first, st and then I’ll just chat through kind of what? There.
61 00:12:27.130 ⇒ 00:12:28.464 Robert Tseng: if you still
62 00:12:39.500 ⇒ 00:12:40.720 Robert Tseng: yeah.
63 00:12:40.720 ⇒ 00:12:43.110 Uttam Kumaran: I was looking at our our like old one.
64 00:12:44.830 ⇒ 00:12:47.830 Uttam Kumaran: cause I was trying to look at like what you actually put in front of them.
65 00:12:48.750 ⇒ 00:12:49.570 Robert Tseng: Okay.
66 00:12:49.570 ⇒ 00:12:52.500 Uttam Kumaran: Yeah, like, cause I know this one. We I guess we probably this.
67 00:12:52.500 ⇒ 00:12:54.139 Robert Tseng: Edited, already.
68 00:12:54.140 ⇒ 00:12:54.720 Uttam Kumaran: But.
69 00:12:56.780 ⇒ 00:12:59.059 Robert Tseng: Yeah, more or less, is what we put in front of them.
70 00:12:59.060 ⇒ 00:13:00.919 Uttam Kumaran: Yeah, yeah, yeah, yeah, yeah.
71 00:13:00.920 ⇒ 00:13:04.110 Robert Tseng: I mean, I also had a deck that was like
72 00:13:07.370 ⇒ 00:13:10.179 Robert Tseng: which I think this is less relevant for this client.
73 00:13:12.290 ⇒ 00:13:22.900 Robert Tseng: But basically for Stella like I had this deck with them, where the 1st few few months I was like tracking this really closely, just like line by line, kind of breaking down like monthly cadence of like how things are going.
74 00:13:22.980 ⇒ 00:13:28.484 Robert Tseng: Then I like had a slide here that I think were the most compelling thing for them was
75 00:13:30.250 ⇒ 00:13:31.290 Robert Tseng: 2.
76 00:13:32.040 ⇒ 00:13:33.349 Robert Tseng: Which slide is it?
77 00:13:33.780 ⇒ 00:13:57.090 Robert Tseng: Yeah, I think it’s like this case for data warehouse implementation where I kind of consolidated a few of like the key questions that they were running into over and over again. And basically be like, this is what you’re able to do right now. And like this, clearly, that doesn’t get doesn’t doesn’t get you where you want to. And so these are what would be able to. So I feel like, this is really the one slide that like
78 00:13:57.627 ⇒ 00:14:02.400 Robert Tseng: the product owner like looked at and was like, Okay, like, this, is, this is the time to turn it on.
79 00:14:02.540 ⇒ 00:14:03.370 Robert Tseng: So
80 00:14:04.430 ⇒ 00:14:05.979 Robert Tseng: yeah, I mean, I feel like.
81 00:14:07.610 ⇒ 00:14:08.570 Robert Tseng: I mean
82 00:14:09.690 ⇒ 00:14:12.355 Robert Tseng: what we can learn from this.
83 00:14:15.230 ⇒ 00:14:32.565 Robert Tseng: yeah, I mean, I think it really was just like having worked with them enough like, I heard the same questions over and over again and kept being like, Yeah, we can’t do that because we don’t have a data warehouse that like eventually, like, I just put through those onto a slide. And we’re like, okay, well, is this the time to do it or not? And
84 00:14:33.010 ⇒ 00:14:34.499 Robert Tseng: yeah, I feel like
85 00:14:35.600 ⇒ 00:14:46.720 Robert Tseng: these are. These are not the same questions that this client is running into. I feel like, if anything, I feel better about this client. I feel like this, this one’s more reproducible. Yeah.
86 00:14:47.590 ⇒ 00:14:51.219 Robert Tseng: yeah, I mean, this is really like, okay, we
87 00:14:51.270 ⇒ 00:14:52.790 Robert Tseng: did this whole
88 00:14:53.600 ⇒ 00:14:59.829 Robert Tseng: modeling. I, we build out a a few of these preliminary dashboards for them. They ran into limits
89 00:15:00.030 ⇒ 00:15:05.110 Robert Tseng: on like what we can and can’t do, so I may kind of flush some of the stuff. But like.
90 00:15:05.650 ⇒ 00:15:16.979 Robert Tseng: yeah, like our cup, the 2 work streams are we’re focusing most on were like retention reports. And then, like gross margin reports. So I think there was a more, much more of a financial component to this client.
91 00:15:17.315 ⇒ 00:15:41.310 Robert Tseng: Stella, we haven’t touched any revenue data. So this one they wanted to see a lot of of revenue and retention reporting. And so I think, like the crux of that is, you know, this whole like list of like user properties. We kind of like, push forward this list of properties that. Okay, hey, these are like all the different things you need to know about your user. To me, this is like a dimensional table that goes into a data warehouse
92 00:15:41.600 ⇒ 00:16:05.990 Robert Tseng: slowly changing dimension. Every time, like, you know, purchases are updated. We can backfill this. But this is like the customer snapshot like that. You that you want to be able to answer a lot of your questions about customer activity, right? Like amplitude would not be able to support this. Well, because it’s just stored as a user property. Because it gets changed every time there’s a new event that fills it. But then you don’t have any historical changes.
93 00:16:05.990 ⇒ 00:16:06.540 Uttam Kumaran: Yeah.
94 00:16:06.540 ⇒ 00:16:18.150 Robert Tseng: Like many historical changes and actually reporting like, I mean building a pivot table, or like just having a reporting table like this, is quite hard to produce an amplitude. So
95 00:16:18.675 ⇒ 00:16:26.500 Robert Tseng: yeah, I think this was like, the CEO is like, yes, I want this like I. And so I think I’m gonna
96 00:16:26.530 ⇒ 00:16:28.430 Robert Tseng: kind of make this one of the
97 00:16:28.480 ⇒ 00:16:30.290 Robert Tseng: key like
98 00:16:30.380 ⇒ 00:16:35.399 Robert Tseng: capabilities that I’d like to put in front of him tomorrow on like what we’d be able to do with it?
99 00:16:36.690 ⇒ 00:16:38.590 Robert Tseng: And then also.
100 00:16:39.230 ⇒ 00:16:43.966 Robert Tseng: well, yeah. So that’s like the main thing, I think, on the gross margin side. Was there anything?
101 00:16:45.640 ⇒ 00:16:49.029 Robert Tseng: yeah, I guess, for me, on the gross margin side.
102 00:16:49.100 ⇒ 00:17:01.980 Robert Tseng: it’s we’re they’re pushing just like pure shopify data directly into amplitude. And so we can parse out a lot of the different components. We help them like, understand how to measure gross margin had different components to it.
103 00:17:02.150 ⇒ 00:17:03.960 Robert Tseng: But all this is just like
104 00:17:04.010 ⇒ 00:17:08.510 Robert Tseng: it’s all projected. It’s not, I mean, shopify data. It’s not their actuals. So.
105 00:17:08.510 ⇒ 00:17:08.990 Uttam Kumaran: Yeah.
106 00:17:09.287 ⇒ 00:17:20.870 Robert Tseng: Being able to like, combine this with their like actual revenue data, which there’s no way of piping that into into amplitude. I think that’s like the second thing that I want to put in front of them.
107 00:17:20.920 ⇒ 00:17:37.169 Robert Tseng: It’s like great. We have all this like projected revenue, reporting on like gross margin and stuff. Now, now, let’s actually see like, how much of it actually hit hit your books. And you know, like that, that’s that’s the level of like that. That’s like the next, the next step, I think for them. So
108 00:17:37.660 ⇒ 00:17:40.250 Robert Tseng: yeah, I think that’s that’s kind of how I think that
109 00:17:41.000 ⇒ 00:17:43.330 Robert Tseng: I think this, it’s more narrowly focused.
110 00:17:43.470 ⇒ 00:17:44.140 Uttam Kumaran: Yeah.
111 00:17:44.140 ⇒ 00:17:48.060 Robert Tseng: What I’m learning with limited hours and everything like
112 00:17:48.250 ⇒ 00:18:03.710 Robert Tseng: throwing too much stuff out there just confuses people. I’ve been just anchoring on like one or 2 things at a time like it’s fine. I think I felt the burden before of like being really holistic and doing all this stuff. This is more like the business strategy, like, part of my mind.
113 00:18:03.710 ⇒ 00:18:19.520 Robert Tseng: Yeah. Realize that like no one ever like like, I’m just doing all this work and like not they don’t. It’s unless they ask me specifically for, like a holistic data strategy. I don’t need to do that like I can just like, take it, project by project.
114 00:18:20.180 ⇒ 00:18:24.829 Uttam Kumaran: Like you propose, and then you, if they’re like, can you dive deeper? They’re cool, like, let me get you some more information about it.
115 00:18:24.830 ⇒ 00:18:25.330 Robert Tseng: Yeah, that.
116 00:18:25.330 ⇒ 00:18:27.140 Uttam Kumaran: Okay. Yeah, yeah, okay.
117 00:18:27.140 ⇒ 00:18:27.690 Robert Tseng: Yeah.
118 00:18:28.430 ⇒ 00:18:29.350 Robert Tseng: so
119 00:18:30.540 ⇒ 00:18:33.370 Robert Tseng: yeah, I know. I just spewed a lot at you. But.
120 00:18:33.370 ⇒ 00:18:37.080 Uttam Kumaran: That makes a lot of sense. I mean, one like shopify is
121 00:18:37.390 ⇒ 00:18:57.810 Uttam Kumaran: like, it’s a lot easier. So that actually makes a lot of sense. I think the capabilities you mentioned are like, really, really clear, I think, like, what like do you think like, it’s going to be similar size in terms of like 10 h to for like, are you showing them anything about like timelines, or like kind of like, how long things are going to take.
122 00:18:58.504 ⇒ 00:19:18.165 Robert Tseng: Yeah, I mean, I feel like this. They’re more reluctant to go like sign, longer contracts. They I feel like I mean for me. They’ve just been doing it month month to month. But yeah, I mean, if if we were to tack this on, it’d be, you know, minimum 10 h again. So I think that I’m yeah. And then like, 10 HA week again. And
123 00:19:18.540 ⇒ 00:19:20.899 Robert Tseng: yeah, as far as like, they’ll want to know.
124 00:19:21.280 ⇒ 00:19:31.980 Robert Tseng: Well, yeah, I think they’ll probably want to know. Okay, well, what can we see within 1 1 month of doing this? And I. So I think to design something that’s like I could make a proposal around what that 1st month would look like.
125 00:19:33.440 ⇒ 00:19:36.570 Robert Tseng: yeah. So I don’t think we need to go and
126 00:19:36.660 ⇒ 00:19:41.364 Robert Tseng: pull in everything. I think. Just building around a couple of these use cases.
127 00:19:42.570 ⇒ 00:19:47.989 Robert Tseng: yeah, would be good. I think when we 1st chat you like, you mentioned to me how you like to?
128 00:19:48.410 ⇒ 00:19:56.440 Robert Tseng: Yeah, just the way that you do these implementations is you just like, take a smaller.
129 00:19:56.670 ⇒ 00:20:00.109 Robert Tseng: like a like a smaller use case and you run it end to end.
130 00:20:01.530 ⇒ 00:20:06.130 Robert Tseng: yeah, I feel like we’ve been doing that. But I feel like also
131 00:20:08.250 ⇒ 00:20:14.210 Robert Tseng: I don’t know. I feel like there’s room to improve on, like making sure that that we stay like we we stick with that.
132 00:20:14.910 ⇒ 00:20:17.100 Robert Tseng: Yeah, I feel like with Stella.
133 00:20:17.350 ⇒ 00:20:18.630 Robert Tseng: It kind of
134 00:20:18.730 ⇒ 00:20:26.030 Robert Tseng: it kind of went that way. And then I mean, I think it’s I. I don’t want to cast blame or do it any of like analysis right now. But like.
135 00:20:26.080 ⇒ 00:20:29.969 Robert Tseng: yeah, I feel like, it’s mainly the stakeholders fall like what we ended up
136 00:20:30.340 ⇒ 00:20:35.099 Robert Tseng: going after was not like the most valuable thing right away. Yeah, yeah. So
137 00:20:35.540 ⇒ 00:20:44.429 Robert Tseng: yeah, I don’t know. I’m just like thinking through, like, okay, like, how do we actually give them like a narrowly scoped offering of like what an end to end like
138 00:20:44.700 ⇒ 00:20:53.745 Robert Tseng: solution would look like with data warehousing. And then, like an like this upgrade on the reporting side that they get to see within a month. So
139 00:20:54.080 ⇒ 00:21:08.350 Uttam Kumaran: No, I agree. So I mean, the basic things are like, if we have like a change in scope, then it’s like it has to be. It just has to be a conversation. Right? Yeah, I mean, understand? Like, does that does like one? It’s like on our side. Does that impact
140 00:21:08.350 ⇒ 00:21:19.499 Uttam Kumaran: where people are working on the amount of capacity we need. And then also you propose that back to them. Right? And you said, Hey, you asked for this change of scope, or like this change of scope is coming this, how it impacts us like, would you approve that?
141 00:21:19.500 ⇒ 00:21:38.509 Uttam Kumaran: How do we want to tackle? I I and I think like, let’s just we’ll just be closer on this one and like I I think it makes I’m on the Stella side. I think I think there were a lot of reasons to go after the things we did. And then, you know, I think it’s just so like we’ll just be a little bit more tighter on. If if if we see like, hey, we’re actually moving beyond stuff.
142 00:21:38.540 ⇒ 00:21:47.416 Uttam Kumaran: then I’ll be like, Hey, we’re still only 10 h. What does this come at? What does this come at the consequence of? And we’ll just talk through that. But I I also agree that
143 00:21:47.880 ⇒ 00:21:54.170 Uttam Kumaran: If I can help to basically say, like, what does the 1st month look like and like, I’ll basically have it. That’s also stuff that
144 00:21:54.200 ⇒ 00:22:08.660 Uttam Kumaran: I want to put in almost like a white label proposal, Doc, right that way either one of us can take. And we have, like exactly, maybe, like a format of these like questions, capabilities, data, warehouse that like, we just have those ready.
145 00:22:09.501 ⇒ 00:22:18.180 Uttam Kumaran: Similarly like what the 1st month of like de would look like without. I mean if we need to fill that with stuff we can. But you know it’s it’s just kind of ready to go.
146 00:22:18.180 ⇒ 00:22:18.790 Robert Tseng: Yeah.
147 00:22:19.240 ⇒ 00:22:26.180 Uttam Kumaran: That’s basically what I think. A great output document like for Friday and beyond would look like, Yeah, let me know where I can
148 00:22:26.750 ⇒ 00:22:27.929 Uttam Kumaran: plug in
149 00:22:28.980 ⇒ 00:22:35.210 Uttam Kumaran: But I mean again, that on on the shopify Etl side, like, what are they? What are they doing.
150 00:22:36.666 ⇒ 00:22:39.760 Robert Tseng: Well, right now they’re they just have, like
151 00:22:40.000 ⇒ 00:22:48.959 Robert Tseng: they have, like a Cdp that just pumps it straight into like amplitude. They have, like all of their yeah, they have all the shopify data going into amplitude directly.
152 00:22:49.270 ⇒ 00:22:50.620 Uttam Kumaran: Okay. Yeah.
153 00:22:52.410 ⇒ 00:22:53.460 Robert Tseng: So.
154 00:22:53.870 ⇒ 00:22:56.529 Uttam Kumaran: And then the bi tool is like metabase.
155 00:22:56.710 ⇒ 00:23:00.200 Robert Tseng: They don’t have. They don’t have a Vi tool they just use. They run it off. Amplitude.
156 00:23:00.770 ⇒ 00:23:01.600 Uttam Kumaran: Okay. Okay.
157 00:23:01.600 ⇒ 00:23:14.857 Robert Tseng: Yeah, like, they didn’t really have anything. They were just using shopify reports. And then I don’t know. They had like, had, like some mark like marketing analytics dashboard from like, I don’t know some some tool before to help them measure, like ad spend, or whatever
158 00:23:15.150 ⇒ 00:23:27.380 Robert Tseng: But yeah, they really haven’t been doing. They didn’t really have any visibility into like retention. And yeah, like, now, like doing some more of this analysis that we brought in like they’ve never done it before.
159 00:23:27.380 ⇒ 00:23:29.859 Uttam Kumaran: Okay, okay, cool. I mean, yeah. I think,
160 00:23:30.620 ⇒ 00:23:33.740 Uttam Kumaran: if they’re chillers, it seems like there’s a lot of damage we could do here.
161 00:23:34.080 ⇒ 00:23:42.630 Robert Tseng: Yeah, I mean, I I like this client so much more. They’ve also grown a lot on our time working with them. So like, I think it’s just like a great great case study.
162 00:23:42.930 ⇒ 00:23:43.879 Robert Tseng: This is also.
163 00:23:43.880 ⇒ 00:23:59.310 Uttam Kumaran: Exact. This is basically exactly what we did for pool parts. And we’ve been billing for like, 20 HA week. Yeah, we’ve been. We pushed a ton through. I think, like it’s gonna depend on like expansion. But like anything on shopify side, like we’re super super familiar with.
164 00:23:59.310 ⇒ 00:23:59.850 Robert Tseng: Yeah.
165 00:23:59.850 ⇒ 00:24:11.179 Uttam Kumaran: And all that data. And then on the financial side, the nice thing is, it’s like, really cut and dry on, like what the definitions are, yeah. And then I think you probably will have a benefit of like getting to pick up the I tool, which is also great.
166 00:24:11.200 ⇒ 00:24:13.220 Uttam Kumaran: Yeah, you need it. So.
167 00:24:15.090 ⇒ 00:24:22.609 Robert Tseng: Cool. Well, yeah, I mean, I feel like this one’s a good fit for for you, especially. So, yeah, wanna wanna get this one.
168 00:24:24.370 ⇒ 00:24:33.899 Robert Tseng: yeah, anything else to kind of chat through for now, yeah, basically tomorrow, like, no worries. I’m just gonna I’m gonna make a couple of slides basically make some version of like
169 00:24:34.728 ⇒ 00:24:42.359 Robert Tseng: like this case for data warehouse implementation for them. And I’m just gonna talk through high level like, why, why, now and then.
170 00:24:42.490 ⇒ 00:24:48.560 Robert Tseng: I guess Friday, hopefully, we’ll have that proposal, Doc. A bit more flushed out and we can send that over to them.
171 00:24:49.680 ⇒ 00:24:52.099 Robert Tseng: But yeah, I? Yeah, I think
172 00:24:52.150 ⇒ 00:24:57.449 Robert Tseng: I’d like to tack it on to my renewal with them by the end of the month. So that’s that’s the timeline that we’re working with.
173 00:24:57.450 ⇒ 00:24:58.730 Uttam Kumaran: Okay. Okay. Doug.
174 00:24:58.730 ⇒ 00:24:59.300 Robert Tseng: Yeah.
175 00:25:00.570 ⇒ 00:25:03.539 Uttam Kumaran: Okay. Alright. Then let’s catch up Friday. Let me know how it goes.
176 00:25:04.020 ⇒ 00:25:04.600 Robert Tseng: Yeah.
177 00:25:05.510 ⇒ 00:25:06.880 Robert Tseng: Alright. Cool.
178 00:25:06.880 ⇒ 00:25:07.830 Uttam Kumaran: Thanks, dude.
179 00:25:07.830 ⇒ 00:25:09.099 Robert Tseng: Alright talk to you later.
180 00:25:09.100 ⇒ 00:25:09.750 Uttam Kumaran: Yes, ma’am.