Meeting Title: Ellie-Hyp-Readme-Eden-US Standup Date: 2025-10-24 Meeting participants: Uttam Kumaran, Casie Aviles, Samuel Roberts, Rico Rejoso, Henry Zhao, Mustafa Raja, Demilade Agboola, Amber Lin, Robert Tseng, Awaish Kumar
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1 00:00:28.640 ⇒ 00:00:29.280 Samuel Roberts: We’re back.
2 00:00:42.920 ⇒ 00:00:50.460 Uttam Kumaran: So, slight iteration today, I made this a little bit longer, and we’ll see. I think Mondays and Fridays I may make it a little bit longer.
3 00:00:51.020 ⇒ 00:00:55.640 Uttam Kumaran: During the week, I think it’s fine. Grooming’s on Wednesday, it was… went fine.
4 00:00:55.950 ⇒ 00:01:00.840 Uttam Kumaran: If anything, I may meet… move grooming even earlier in the week. I don’t know, let’s see.
5 00:01:07.950 ⇒ 00:01:12.980 Samuel Roberts: I’m, like, making sounds over here, like, that makes sense, and I realize I’m muted, so…
6 00:01:15.370 ⇒ 00:01:19.610 Samuel Roberts: Drinking my cold brew, it’s going straight to my brain. Yeah.
7 00:01:20.480 ⇒ 00:01:24.900 Uttam Kumaran: If I drink coffee, like, my legs just shake for, like, 4 hours.
8 00:01:24.900 ⇒ 00:01:28.440 Samuel Roberts: Really? Are you, like, pretty caffeine sensitive, like, in general?
9 00:01:28.440 ⇒ 00:01:31.309 Uttam Kumaran: No, but I just have these, like…
10 00:01:32.190 ⇒ 00:01:35.059 Uttam Kumaran: you’ll just… I just have, like, I have to fidget, or something.
11 00:01:35.060 ⇒ 00:01:35.440 Samuel Roberts: Thanks.
12 00:01:35.440 ⇒ 00:01:39.910 Uttam Kumaran: During, like, the first hour, if I drink coffee or something, I just fidget a lot.
13 00:01:40.210 ⇒ 00:01:45.249 Uttam Kumaran: But a lot of people, like, I’ll be at coffee shops, like, fidgeting, and then someone will be like, hey, could you not do this?
14 00:01:47.170 ⇒ 00:01:49.119 Uttam Kumaran: And I’m like, yo, back off, like…
15 00:01:49.120 ⇒ 00:01:51.739 Samuel Roberts: Yeah, right? It’s a coffee shop, you’re supposed to be jittery.
16 00:01:51.740 ⇒ 00:01:52.290 Uttam Kumaran: Yeah.
17 00:02:03.250 ⇒ 00:02:15.789 Samuel Roberts: Yeah, I’m like… I’ve had… I’ve consumed so much caffeine and have for so long that I feel like it barely even affects me, but I still consume it, and I don’t tend to get withdrawal, but my wife doesn’t drink coffee. She’s a tea person.
18 00:02:15.960 ⇒ 00:02:20.959 Samuel Roberts: And, it is crazy when she gets a little more caffeine than a cup of tea.
19 00:02:20.960 ⇒ 00:02:22.210 Uttam Kumaran: It’s… Really?
20 00:02:22.210 ⇒ 00:02:23.900 Samuel Roberts: So sensitive to it.
21 00:02:25.230 ⇒ 00:02:25.800 Samuel Roberts: It’s…
22 00:02:25.800 ⇒ 00:02:26.450 Uttam Kumaran: Wow.
23 00:02:26.450 ⇒ 00:02:28.619 Samuel Roberts: Yeah, I’m a little jealous.
24 00:02:29.340 ⇒ 00:02:38.310 Uttam Kumaran: Yeah, I will quit coffee for months on end, if I can, and I usually do it once a year, like, I quit for, like, 2-3 months.
25 00:02:38.600 ⇒ 00:02:41.270 Samuel Roberts: Is it… is it bad? Like, is it withdrawal?
26 00:02:41.270 ⇒ 00:02:42.960 Uttam Kumaran: Yeah, it’s really bad, it’s pretty bad.
27 00:02:42.960 ⇒ 00:02:50.020 Samuel Roberts: See, I never get that. I can… I mean, not that I… I haven’t gone months, certainly, but I definitely go through phases where I’m ingesting way more and then none, and…
28 00:02:50.210 ⇒ 00:02:56.880 Uttam Kumaran: It’s probably, like, a month. Yeah, maybe I should. But the withdrawals are more of, like, I miss having energy, like…
29 00:02:56.880 ⇒ 00:02:58.850 Samuel Roberts: Right, right.
30 00:02:58.850 ⇒ 00:03:02.039 Uttam Kumaran: Oh, I need to just eat better and, like, have natural energy.
31 00:03:02.040 ⇒ 00:03:03.540 Samuel Roberts: Yeah, yeah.
32 00:03:04.950 ⇒ 00:03:07.290 Uttam Kumaran: So…
33 00:03:11.490 ⇒ 00:03:14.769 Uttam Kumaran: Cool. Okay, I’ll ping Robert, wait for him.
34 00:03:14.890 ⇒ 00:03:16.380 Uttam Kumaran: enough,
35 00:03:28.960 ⇒ 00:03:31.160 Uttam Kumaran: Okay… alright.
36 00:03:33.830 ⇒ 00:03:36.560 Uttam Kumaran: So, this meeting,
37 00:03:36.810 ⇒ 00:03:41.570 Uttam Kumaran: Rico, if you would be ever so kind to just keep track, keep notes in our,
38 00:03:42.140 ⇒ 00:03:45.980 Uttam Kumaran: In our, project review stocks for each client.
39 00:03:46.100 ⇒ 00:03:49.489 Uttam Kumaran: I would like to start with the meatiest couple.
40 00:03:49.650 ⇒ 00:03:54.150 Uttam Kumaran: So we can start with, insomnia first.
41 00:03:54.320 ⇒ 00:03:56.750 Uttam Kumaran: We have a lot of updates there.
42 00:03:56.950 ⇒ 00:03:59.330 Uttam Kumaran: I guess…
43 00:03:59.450 ⇒ 00:04:13.420 Uttam Kumaran: yesterday, I’ll kind of say what I know. So, Gemlade kind of worked on a little bit of an analysis. Amber worked on the retro for duplicate transactions. I believe that’s ready for review.
44 00:04:13.840 ⇒ 00:04:18.480 Uttam Kumaran: The other thing, we… we… this… this… was,
45 00:04:18.750 ⇒ 00:04:23.220 Uttam Kumaran: Positive consequence of our ability to get all the,
46 00:04:24.090 ⇒ 00:04:31.029 Uttam Kumaran: text files in, so… so we have all the data now. We learned about what to do with Braze for next week.
47 00:04:31.560 ⇒ 00:04:36.500 Uttam Kumaran: I guess Robert, Amber, Demolade, like, talked to me about stuff.
48 00:04:36.890 ⇒ 00:04:48.099 Robert Tseng: I reviewed everything. So, I think, yeah, Amber’s analysis is good. I think the slides are fine. I think the project review deck format, I mean, we can’t send that. We just gotta… we gotta…
49 00:04:48.450 ⇒ 00:04:54.130 Robert Tseng: just kind of how I’ve sent out my previous analysis in a separate deck. We should, for these, like.
50 00:04:54.310 ⇒ 00:05:06.319 Robert Tseng: analysis-level decks, they should be separate. The project review deck should be a separate one. I don’t care if we send them two decks a week, like, that’s… it’s fine. I think it’s just a bit too much if we send, like, you know, 30 slides, whatever, so…
51 00:05:06.320 ⇒ 00:05:12.360 Uttam Kumaran: Yeah, yeah, yeah, so maybe I can comment on that. So not every client is gonna get, like, a slide-based.
52 00:05:12.840 ⇒ 00:05:18.790 Robert Tseng: Yeah, but for analysis… Yeah. Okay, yeah. And, insomnia.
53 00:05:18.790 ⇒ 00:05:19.840 Uttam Kumaran: Oh, I see what you mean.
54 00:05:19.840 ⇒ 00:05:24.700 Robert Tseng: read the decks for analysis and for the reviews.
55 00:05:24.700 ⇒ 00:05:25.699 Uttam Kumaran: Okay, okay, okay.
56 00:05:25.700 ⇒ 00:05:40.969 Robert Tseng: Yeah. So, Amber’s… Amber’s analysis ends up being, like, a 3-5 slide deck. That’s… that’s fine, so she can just, like, duplicate it and follow our native conventions or whatever. Okay. I think it’s still missing the recommendation, it just tells me…
57 00:05:41.070 ⇒ 00:05:45.809 Robert Tseng: revenue, like, yeah, we understand that they’re basically…
58 00:05:46.000 ⇒ 00:05:52.529 Robert Tseng: double the amount of revenue and transactions. So, like, we’ve been… we’ve been misreporting on Brace
59 00:05:53.070 ⇒ 00:05:59.879 Robert Tseng: data this whole time. It’s not… we inherited the process or whatever, but that’s the magnitude of it. So…
60 00:06:00.210 ⇒ 00:06:04.879 Robert Tseng: Yeah, the CEO’s gonna look at that and just be like, what the F, like, we’ve been…
61 00:06:05.440 ⇒ 00:06:23.379 Robert Tseng: you guys have been misreporting revenue by 2X, by a factor of 2x, and yes, I’m gonna have to absorb that blow on Monday until I’m gonna be like, well, we have the solution now, we’re going to be able to dedupe and, like, normalize all this stuff, so that’s really the main objective that we need to
62 00:06:23.520 ⇒ 00:06:29.910 Robert Tseng: rally around next… next… by next week, I guess, if that’s what our availability is, yeah.
63 00:06:30.930 ⇒ 00:06:31.490 Uttam Kumaran: Okay.
64 00:06:31.730 ⇒ 00:06:45.399 Robert Tseng: And then regarding, like, I’ve looked… I looked through, Demlade’s doc as well, like, that was pretty much just, he ran some summary stats on the existing segments, which I knew this already.
65 00:06:45.400 ⇒ 00:06:47.279 Uttam Kumaran: Yeah. I guess, like.
66 00:06:47.620 ⇒ 00:06:58.439 Robert Tseng: I thought I wrote the kind of question in, like, a ticket somewhere, but I think the point of the segments was, yeah, sure, to understand, like, what’s in there, which, okay, now you do.
67 00:06:58.650 ⇒ 00:06:59.980 Robert Tseng: But,
68 00:07:00.260 ⇒ 00:07:05.700 Robert Tseng: Yeah, I mean, this level of segmentation is not… is not help… is not helpful, right? It’s like, we’re trying to…
69 00:07:05.940 ⇒ 00:07:16.999 Robert Tseng: you know, I’m just looking at their highest segment is 400,000 users, compared to the rest, which is about 400,000. So, would 50% of your customers are in your highest tier segment? Like, that’s just…
70 00:07:17.240 ⇒ 00:07:37.039 Robert Tseng: That’s not, like, that’s not good segmentation. So, I mean, there’s two approaches. One is, like, we should be thinking through, like, okay, well, like, how do we actually… you know, your segmentation should be a bell curve. Like, if I were to plot this right now, like, it would, you know, obviously be widely skewed to the… skewed to the… to the right right now.
71 00:07:37.250 ⇒ 00:07:39.929 Robert Tseng: So, like, I… I think…
72 00:07:40.000 ⇒ 00:08:02.610 Robert Tseng: these segments do need to be reworked. I think that’s less urgent. I think that’s more of a… they have no… clearly have no idea how to do customer segmentation, and I don’t really know if anybody else on this team has done customer segmentation, so I think that’s kind of the direction that I may push it in. But then, too, it’s like, okay, well, for the existing segments, what can we… can we…
73 00:08:02.620 ⇒ 00:08:21.870 Robert Tseng: like, what do we know about, like, how do they, perform against, against campaigns? So, once again, tying customers back to the campaign performance. So, are champions, like, actually converting at a higher clip than, like, low-value new customers, or whatever the lowest tier is? So, like, being able to
74 00:08:24.110 ⇒ 00:08:43.379 Robert Tseng: still use their existing segments to not just… or to, like, base… to analyze their performance across the own channels. So, I think that’s… that was not in the analysis. I think all we did was show, this is the number of users, and this is the number of days since they last
75 00:08:43.490 ⇒ 00:08:55.199 Robert Tseng: logged in, which doesn’t really make any sense, because this is, like, I don’t really know what a session is. Like, this… it’s not like they’re logging into, like, a software platform, they’re just buying cookies, so…
76 00:08:55.520 ⇒ 00:08:59.300 Uttam Kumaran: But it seems clear that they have some app, right? Like, that’s the…
77 00:09:00.670 ⇒ 00:09:06.849 Demilade Agboola: Yeah, the in-app purchases, so sessions, I would assume, will be the last time.
78 00:09:07.200 ⇒ 00:09:14.330 Robert Tseng: Yeah, but, like, I don’t… I doubt there are, like, hundreds of thousands of people using their app. Like, I… you know, sure, like, maybe that’s, like.
79 00:09:14.330 ⇒ 00:09:32.499 Robert Tseng: app users within the Champion segment, their last time that they logged in was 238 days ago. But, I mean, you can tell, like, none of it was recent. All of this is, like, years ago, so they’re not really driving any sales through their app. Like, it’s all through food delivery or, like, retail.
80 00:09:32.500 ⇒ 00:09:50.510 Robert Tseng: Which, I mean, I think those are interesting footnotes to be able to pull into this data, like, can we actually see when was the last time they were in a store? When was the last time they purchased on all of their other platforms? But I want to kind of keep our scope narrow to just own channel performance, because that’s really what we’re focused on still.
81 00:09:53.540 ⇒ 00:09:55.119 Uttam Kumaran: So, Demolati, does that…
82 00:09:55.240 ⇒ 00:10:04.229 Uttam Kumaran: make sense on, like, sorry, I’m just, like, talking it right. Does that make sense on, like, what the next steps are here, in terms of…
83 00:10:04.680 ⇒ 00:10:10.230 Uttam Kumaran: Trying to find the, like, recommended segments, in addition to…
84 00:10:10.380 ⇒ 00:10:13.890 Uttam Kumaran: Given, like, what Amber is now able to do, like, pairing
85 00:10:14.100 ⇒ 00:10:19.329 Uttam Kumaran: check, like, the users with campaigns and things like that? Is it clear, like, what you’re… what…
86 00:10:19.470 ⇒ 00:10:20.880 Uttam Kumaran: The follow-up is?
87 00:10:21.800 ⇒ 00:10:24.720 Uttam Kumaran: I… my… from my perspective, I think, like.
88 00:10:25.270 ⇒ 00:10:37.780 Uttam Kumaran: I think you needed to do this in order to just get up to speed on, like, what the deal is, so I’m actually not, like… I actually think this gives you… this… but what I think is clear, and what I saw immediately was, like.
89 00:10:37.900 ⇒ 00:10:44.800 Uttam Kumaran: and I said this yesterday, I was like, this is way too many, and… Yeah, I, like… it…
90 00:10:45.160 ⇒ 00:10:52.530 Uttam Kumaran: like, one, there’s way too many, and two, like, I don’t see revenue or, like, any specific behavior metrics associated with these.
91 00:10:52.680 ⇒ 00:10:57.470 Uttam Kumaran: So, like, one objective here is to say that these are not right.
92 00:10:57.630 ⇒ 00:11:02.359 Uttam Kumaran: And that, I think, is so obvious, so we just need to, like, get more data to prove that.
93 00:11:02.470 ⇒ 00:11:22.319 Uttam Kumaran: And then we have to come with a recommendation. But the recommendation cannot… this is not enough for the recommendation. I think you’re… I’m sure you get where I’m going, which is, we should actually propose the segments, run our new segmentation, and then show how
94 00:11:22.620 ⇒ 00:11:36.579 Uttam Kumaran: like, if your… if your outcome, for example, let’s say you end up with 5 segments, like, you can… you can show that it’s a bell curve, and you can show that… but the revenue, like, the LTV or something is not a bell curve, like, a lot of it concentrates to the top.
95 00:11:37.240 ⇒ 00:11:41.779 Uttam Kumaran: that is, like, what I would say is the… True proposal slide.
96 00:11:42.990 ⇒ 00:11:44.450 Demilade Agboola: Oh, okay, fair enough.
97 00:11:46.240 ⇒ 00:11:47.379 Uttam Kumaran: Does that make sense?
98 00:11:47.700 ⇒ 00:11:55.590 Demilade Agboola: Yeah, that makes sense. It’s just basically, resegmenting the cost… the… Current data, based off,
99 00:11:57.040 ⇒ 00:12:03.840 Demilade Agboola: Analysis of, like, the frequency, usage, and monetary values in such a way that we have a better
100 00:12:04.500 ⇒ 00:12:07.350 Demilade Agboola: Segment that is more evenly distributed.
101 00:12:08.000 ⇒ 00:12:08.780 Uttam Kumaran: Yeah…
102 00:12:09.010 ⇒ 00:12:26.809 Uttam Kumaran: So, like, I think, Robert, do you have… is there, like, a few documents or, like, things around customer segmentation? I mean, I’ve done it before, but I don’t have any, like, sophisticated training in, like, in, like, doing it, but if there’s anything helpful written
103 00:12:27.160 ⇒ 00:12:31.750 Uttam Kumaran: on, like, best practices, like, I think the Melody can totally rip this.
104 00:12:32.370 ⇒ 00:12:37.220 Demilade Agboola: No, no, it’s fine. I’ve actually done some customer segmentation before, so it’s all good.
105 00:12:37.920 ⇒ 00:12:42.890 Uttam Kumaran: Yeah, I guess maybe then, not for a demo, even for me, because I would like to read something.
106 00:12:43.060 ⇒ 00:12:48.069 Uttam Kumaran: Is there any… is there anything, Robert, like, written by anybody that’s, like, worth reading on this?
107 00:12:55.200 ⇒ 00:12:57.489 Uttam Kumaran: You may be on mute, sorry.
108 00:12:58.120 ⇒ 00:12:59.759 Uttam Kumaran: Or did he leave?
109 00:13:00.790 ⇒ 00:13:05.390 Demilade Agboola: Maybe he had network issues because he just dropped out.
110 00:13:05.390 ⇒ 00:13:06.669 Uttam Kumaran: Oh, okay, alright.
111 00:13:06.770 ⇒ 00:13:08.040 Uttam Kumaran: I’ll wait for him to come back.
112 00:13:08.040 ⇒ 00:13:11.430 Henry Zhao: He dropped off at our one-on-one earlier, so I think he’s having Wi-Fi issues.
113 00:13:11.430 ⇒ 00:13:12.460 Uttam Kumaran: Okay, okay.
114 00:13:13.450 ⇒ 00:13:17.939 Uttam Kumaran: Okay, so I’m gonna just put this…
115 00:13:17.940 ⇒ 00:13:19.099 Robert Tseng: Hello, hello, am I back?
116 00:13:19.100 ⇒ 00:13:19.999 Uttam Kumaran: Hey, you’re back, you’re back.
117 00:13:20.000 ⇒ 00:13:26.670 Robert Tseng: Okay, sorry, Wi-Fi has just been really bad for me today. I’m gonna… I’m gonna move in, like, an hour. This is too unstable.
118 00:13:27.640 ⇒ 00:13:33.339 Uttam Kumaran: No, the only thing I asked for is if you had any, like, good, like, public writings on…
119 00:13:33.970 ⇒ 00:13:37.149 Uttam Kumaran: customer segmentation analysis that I could read, that would be.
120 00:13:37.150 ⇒ 00:13:48.399 Robert Tseng: Yeah, I mean, I would… sorry, I mean, I know you just said… mentioned… I would say, like, kind of assigning performance metrics to the existing segments is the higher priority, just because, like, I still don’t know, like, how…
121 00:13:48.570 ⇒ 00:13:56.819 Robert Tseng: how are these segments actually performing in our own channels, then the segmentation exercise is secondary. Like, there’s no way you’re gonna do that within a few days, like, it’s gonna…
122 00:13:56.950 ⇒ 00:14:09.860 Robert Tseng: We’re gonna have to go through many revisions. Like, I mean, the way that I would approach it is, like, you would basically need to go and capture all the relevant features, so right now, they’re only using recency, frequency, and monetary value.
123 00:14:09.860 ⇒ 00:14:21.170 Robert Tseng: there’s only 3 features in the way that they’re… they’re building these segments, which is why it’s, like, wildly off. So, there’s a whole, like… it’s just a really… this is really a data science project. You need to, like, go and do some…
124 00:14:21.170 ⇒ 00:14:38.579 Robert Tseng: you have to do some feature selection, understand, like, what are all the other, possible, like, things that we want to pull into this, and then, like, build segments from there. So, I think, I mean, I honestly don’t know if Amph Dem Lottie’s ever done something like this before, so I’m not really expecting this to be done in a week.
125 00:14:38.580 ⇒ 00:14:44.500 Uttam Kumaran: Okay, okay. Yeah, so we can focus on this next week. I think, Demolade, if you can wrap up, like.
126 00:14:44.870 ⇒ 00:14:50.739 Uttam Kumaran: the ticket I just created… Today, that would be very helpful, which is just, like.
127 00:14:50.930 ⇒ 00:14:54.930 Uttam Kumaran: The performance, tying the existing segments to performance.
128 00:14:55.460 ⇒ 00:14:59.929 Uttam Kumaran: Okay. That would be helpful.
129 00:15:00.010 ⇒ 00:15:03.950 Demilade Agboola: Do we have… the campaign data in Mother Doc.
130 00:15:04.140 ⇒ 00:15:05.689 Uttam Kumaran: Yes, we do.
131 00:15:06.450 ⇒ 00:15:11.859 Uttam Kumaran: And… I think, at this point, both Mustafa and Amber
132 00:15:12.350 ⇒ 00:15:18.590 Uttam Kumaran: can show how to join? I think Amber’s… we’ll get to Amber’s next piece, but…
133 00:15:18.800 ⇒ 00:15:21.279 Uttam Kumaran: Yeah, I think that should have all the information on how to join.
134 00:15:21.770 ⇒ 00:15:23.780 Demilade Agboola: Okay, yeah, the Campaign Reports Center.
135 00:15:24.270 ⇒ 00:15:24.800 Uttam Kumaran: Okay.
136 00:15:25.900 ⇒ 00:15:26.710 Uttam Kumaran: Cool.
137 00:15:26.920 ⇒ 00:15:31.030 Uttam Kumaran: Okay, and then Amber, you’re… you’re okay with this follow-up?
138 00:15:32.220 ⇒ 00:15:33.630 Uttam Kumaran: For the… for the deck?
139 00:15:34.790 ⇒ 00:15:36.580 Amber Lin: Yeah, I’m on in now.
140 00:15:36.820 ⇒ 00:15:40.390 Uttam Kumaran: Okay, and then, do we want to…
141 00:15:40.810 ⇒ 00:15:44.690 Uttam Kumaran: Do you need me to help push this one out, Robert?
142 00:15:46.020 ⇒ 00:15:51.360 Robert Tseng: Yeah, I mean, that was something that I would like to also be able to share.
143 00:15:51.660 ⇒ 00:15:53.409 Uttam Kumaran: Okay, then I’ll do this today.
144 00:15:57.770 ⇒ 00:16:03.429 Uttam Kumaran: Okay, cool. And then the other thing, Amber, I think it’s probably helpful for us to do a review
145 00:16:03.800 ⇒ 00:16:09.419 Uttam Kumaran: After you’re done on just, like, your process, I feel like…
146 00:16:09.700 ⇒ 00:16:21.099 Amber Lin: Yeah, I would love to. I feel like it probably took a little bit too long. I went a lot of different avenues and ended up with the most simple thing I could have done. It was very frustrating.
147 00:16:21.100 ⇒ 00:16:29.959 Uttam Kumaran: It’s okay, it happens, but I think I want to just accelerate your learning a little bit. So, I don’t want to… I hesitated to be like.
148 00:16:30.560 ⇒ 00:16:35.200 Uttam Kumaran: this is taking way too long, but I also… I wanted you to go the distance, and then I’ll show you how to…
149 00:16:35.460 ⇒ 00:16:36.630 Uttam Kumaran: Just cut it in half.
150 00:16:36.630 ⇒ 00:16:37.979 Amber Lin: That would be great.
151 00:16:37.980 ⇒ 00:16:39.660 Uttam Kumaran: Okay, maybe we can,
152 00:16:39.820 ⇒ 00:16:43.869 Uttam Kumaran: Maybe let’s do something la- if you can grab time, like, later today, let’s just… let’s just talk through it.
153 00:16:43.870 ⇒ 00:16:44.850 Amber Lin: I looked into that.
154 00:16:45.310 ⇒ 00:16:53.909 Uttam Kumaran: Okay, cool. And then the other other piece I want to share, and I saw your stuff come through, KC, which is the Insomnia…
155 00:16:54.510 ⇒ 00:16:59.659 Uttam Kumaran: Stuff. Do you want to spend, like, 2 minutes?
156 00:17:00.590 ⇒ 00:17:03.499 Uttam Kumaran: Explaining progress so far?
157 00:17:04.730 ⇒ 00:17:05.589 Casie Aviles: Yeah, sure.
158 00:17:07.119 ⇒ 00:17:14.359 Casie Aviles: It’s really just this, diagram that I created, and there’s a lot of…
159 00:17:14.730 ⇒ 00:17:21.729 Casie Aviles: Things happening here, but… We have these different sources that we’re getting the data from.
160 00:17:22.319 ⇒ 00:17:29.399 Casie Aviles: And I’ve also marked, like, which areas are… Yeah, these are, like.
161 00:17:29.660 ⇒ 00:17:37.809 Casie Aviles: the ones that are most brittle. Like, I know that we encounter, like, issues here.
162 00:17:38.020 ⇒ 00:17:45.039 Casie Aviles: So… These are probably some things that we need to rethink for the architecture that we’re building out.
163 00:17:45.930 ⇒ 00:17:47.010 Casie Aviles: Okay.
164 00:17:47.970 ⇒ 00:17:50.460 Casie Aviles: Yeah, and I think, yeah, there’s definitely…
165 00:17:51.150 ⇒ 00:17:57.459 Casie Aviles: only so much that we could do, given, you know, the lack of API for certain sources.
166 00:17:57.940 ⇒ 00:18:04.070 Casie Aviles: And then also, I know that we have currents, braze currents, and I think we might be able to use that now.
167 00:18:04.330 ⇒ 00:18:05.070 Casie Aviles: Great.
168 00:18:05.070 ⇒ 00:18:08.620 Uttam Kumaran: This is the… this is amazing. Probably my only… ask.
169 00:18:09.310 ⇒ 00:18:14.240 Uttam Kumaran: So, a couple… maybe I’ll leave a couple of, like.
170 00:18:14.970 ⇒ 00:18:18.769 Uttam Kumaran: I’ll put… let’s… let’s put in a ticket. How about that?
171 00:18:19.780 ⇒ 00:18:22.809 Uttam Kumaran: Let’s just say, like, follow-ups.
172 00:18:22.970 ⇒ 00:18:28.620 Uttam Kumaran: on Diagram, and then we can close this out, and it’ll be ready for architecture review next week. So…
173 00:18:28.910 ⇒ 00:18:34.580 Uttam Kumaran: I… I would… I’m gonna say don’t create a related…
174 00:18:35.010 ⇒ 00:18:41.350 Uttam Kumaran: Notion doc, like, we could just have all the commentary here, but my ask is gonna be for the…
175 00:18:41.900 ⇒ 00:18:46.540 Uttam Kumaran: What are these, like, caution signs? For the caution signs?
176 00:18:46.850 ⇒ 00:18:52.279 Uttam Kumaran: Like, put a… either put a…
177 00:18:52.580 ⇒ 00:18:59.690 Uttam Kumaran: Sticky, or create… yeah, put a sticky or something with… With Y?
178 00:19:00.570 ⇒ 00:19:20.079 Uttam Kumaran: So, to give you a sense, and I’ll show everyone how we’re gonna run the architecture review next week, you should assume that you have a bunch of senior technical folks, but they don’t… they’re, like, new to this client, this whole system. So really spell it out, but don’t spell it out, like… I’m not saying explain, like, on 5, you can explain, like.
179 00:19:20.370 ⇒ 00:19:30.309 Uttam Kumaran: like, you’re… you’re older, but, just, like, have all the information here. So, that’s what I would say, like, why you feel
180 00:19:31.570 ⇒ 00:19:33.209 Uttam Kumaran: This is bad.
181 00:19:33.330 ⇒ 00:19:34.970 Uttam Kumaran: Or, could be better.
182 00:19:35.860 ⇒ 00:19:39.530 Uttam Kumaran: Second piece I will ask for is…
183 00:19:39.790 ⇒ 00:19:44.640 Uttam Kumaran: More of these, like, more of these, like, refresh times.
184 00:19:45.210 ⇒ 00:19:53.100 Uttam Kumaran: You know, where you have them. Even if you can put manual, Or, like, manual, ad hoc.
185 00:19:53.270 ⇒ 00:19:56.289 Uttam Kumaran: Like, the time at which you do it, that’s helpful too.
186 00:19:56.400 ⇒ 00:20:16.350 Uttam Kumaran: Because the entirety of, like, what I’ll arrive at is how long this takes to do, and what… and what is our current SLA. Like, right now, if it’s, like, this is 3 days end-to-end from, like, data being live to getting here, okay, then that’s, like, what I want to report, and that’s what we attack, you know?
187 00:20:16.470 ⇒ 00:20:20.790 Uttam Kumaran: So, I think SLA, timing, Etc.
188 00:20:20.960 ⇒ 00:20:23.449 Uttam Kumaran: In as many flows as possible.
189 00:20:23.860 ⇒ 00:20:28.689 Uttam Kumaran: The second piece that would be helpful here is for things like…
190 00:20:28.820 ⇒ 00:20:34.399 Uttam Kumaran: Dagster, the browser-based automation, Python script, we need links.
191 00:20:36.150 ⇒ 00:20:36.690 Casie Aviles: Okay.
192 00:20:36.690 ⇒ 00:20:46.760 Uttam Kumaran: So, for Dagster, python script… Etc. Link. Out.
193 00:20:47.550 ⇒ 00:20:51.930 Uttam Kumaran: Using, like, hyper… like, Hyperlink, or whatever.
194 00:20:52.150 ⇒ 00:20:55.130 Uttam Kumaran: To the code snippet.
195 00:20:56.330 ⇒ 00:20:59.309 Uttam Kumaran: like, platform, UI, whatever.
196 00:20:59.550 ⇒ 00:21:09.959 Uttam Kumaran: So, again, it should be… the person should be able to look through this and not have to go jump and ask more questions. As much as can be linked externally, I want to have in one place.
197 00:21:10.220 ⇒ 00:21:16.209 Uttam Kumaran: This is a really amazing asset. I mean, I… for us to present.
198 00:21:16.400 ⇒ 00:21:24.669 Uttam Kumaran: like, Robert, what do you think about presenting something like this on Monday? Like, if… I feel like this is at least helpful in its current state. I mean, we don’t have…
199 00:21:25.100 ⇒ 00:21:30.450 Uttam Kumaran: the tons of, like, recommendations yet. We’ll have that for the next, Sometime next week, but…
200 00:21:30.590 ⇒ 00:21:34.130 Uttam Kumaran: like, I think this is worth presenting, like, how this works today.
201 00:21:34.850 ⇒ 00:21:45.050 Robert Tseng: Yeah, I think we should send it in the Slack channel, or I’ll do it in the marketing, but I don’t think the CEO’s gonna care about this, so I’m not gonna… I don’t think I would show it to him. Okay. I think he would care about, like.
202 00:21:46.190 ⇒ 00:22:02.479 Robert Tseng: the… like, the final sheet. He looks at the final sheet, which is the one that we’re trying to change, the daily impact scorecard, right? It’s like, we were trying… we’re trying to redesign… redesign that. So, I think he will care about that piece, but I don’t think he’ll care about how all this works.
203 00:22:02.720 ⇒ 00:22:10.970 Uttam Kumaran: Okay, so I’m gonna… so I’ll send… this is also an optimized version of what existed before, so I’m gonna send a before, now, and, like, after.
204 00:22:11.230 ⇒ 00:22:11.830 Uttam Kumaran: And then.
205 00:22:11.830 ⇒ 00:22:29.179 Robert Tseng: Yeah, I think, like, the marketing folks will care, and the, like, the tech guy, Robert Kanter, will care, but, like, yeah. So, I still think we should… we should send this to the Slack panel or whatever, but I… I don’t… I don’t think it would… I would bring it up in a weekly business review.
206 00:22:29.500 ⇒ 00:22:30.080 Uttam Kumaran: Okay.
207 00:22:30.420 ⇒ 00:22:32.890 Uttam Kumaran: It’s going in the appendix in case you need it.
208 00:22:32.890 ⇒ 00:22:33.700 Robert Tseng: Okay, sure.
209 00:22:35.960 ⇒ 00:22:41.140 Uttam Kumaran: Okay, cool. Okay, great. What else for, insomnia?
210 00:22:43.490 ⇒ 00:22:50.120 Robert Tseng: Yeah, I guess, like, the… we have… we have two tickets on Daily Impact Scorecard Redesign, so I don’t know, do we, like, kind of…
211 00:22:50.120 ⇒ 00:23:03.040 Uttam Kumaran: Oh, Yeah, so… This one… I’m going to…
212 00:23:04.850 ⇒ 00:23:06.800 Uttam Kumaran: Yeah, this one I’m gonna move to canceled.
213 00:23:07.490 ⇒ 00:23:12.179 Uttam Kumaran: Because I don’t have analysis, and then we are going to do an architecture review next week.
214 00:23:12.390 ⇒ 00:23:16.949 Uttam Kumaran: on this, based on this diagram, so then I will have, sort of, the plan for you.
215 00:23:17.870 ⇒ 00:23:22.539 Uttam Kumaran: The goal this week was to kind of get to… to here.
216 00:23:22.740 ⇒ 00:23:23.920 Robert Tseng: Okay, cool.
217 00:23:23.920 ⇒ 00:23:24.979 Uttam Kumaran: That’s fair, okay.
218 00:23:26.460 ⇒ 00:23:34.840 Uttam Kumaran: And then anything, like, So, again, anything that’s in here, Should get done this week.
219 00:23:35.360 ⇒ 00:23:43.710 Uttam Kumaran: So, again, you can see the faces, it’s me, Demolade, and then Casey. So as long as us, we’re good with this, I feel pretty good.
220 00:23:43.960 ⇒ 00:23:44.470 Robert Tseng: Yep.
221 00:23:44.470 ⇒ 00:23:49.400 Uttam Kumaran: And then, on Monday, during Monday stand-up, my expectation is that the decks are ready
222 00:23:49.770 ⇒ 00:23:58.459 Uttam Kumaran: And then any tweaks we can make. So you’re… so you’re gonna have the project review deck, and you’re gonna have the analysis deck, right? That’s, like… Yeah. Okay, okay, great.
223 00:23:58.920 ⇒ 00:24:01.849 Uttam Kumaran: And then, are you gonna… do you want us to put the segmentation work
224 00:24:02.230 ⇒ 00:24:05.200 Uttam Kumaran: Into something? Into just one slide in the project review?
225 00:24:05.960 ⇒ 00:24:07.270 Robert Tseng: Yeah.
226 00:24:08.000 ⇒ 00:24:13.580 Robert Tseng: I mean, I don’t really think it’ll be ready by then, so, like, if it’s not ready to share, don’t share it. Okay.
227 00:24:13.580 ⇒ 00:24:14.980 Uttam Kumaran: Okay. Yeah. Okay.
228 00:24:19.530 ⇒ 00:24:20.449 Uttam Kumaran: Well, this is…
229 00:24:20.450 ⇒ 00:24:24.339 Robert Tseng: We can’t just be like, here are some new segments, like.
230 00:24:24.340 ⇒ 00:24:25.259 Uttam Kumaran: No, no, no, no, no.
231 00:24:25.850 ⇒ 00:24:33.819 Uttam Kumaran: the analysis of the existing segments and, like, why it’s bad. If you don’t think you want to present that until you have the recommendation, then don’t.
232 00:24:33.820 ⇒ 00:24:34.190 Robert Tseng: Yeah.
233 00:24:34.190 ⇒ 00:24:36.149 Uttam Kumaran: We’ll have that probably, like, Tuesday.
234 00:24:36.330 ⇒ 00:24:36.910 Robert Tseng: Yeah.
235 00:24:37.100 ⇒ 00:24:37.630 Uttam Kumaran: Okay, okay.
236 00:24:37.630 ⇒ 00:24:40.080 Robert Tseng: It’s because it will rock their world. It took them, like.
237 00:24:40.080 ⇒ 00:24:48.049 Uttam Kumaran: three… it took them a quarter to build their existing segments, which blows my mind, because I don’t really know how it took them off. Who… who did… who did it?
238 00:24:48.050 ⇒ 00:24:49.819 Robert Tseng: Robert Cantor, yeah.
239 00:24:49.820 ⇒ 00:24:50.520 Uttam Kumaran: Ugh.
240 00:24:50.800 ⇒ 00:24:51.200 Robert Tseng: Yeah.
241 00:24:51.200 ⇒ 00:24:53.330 Uttam Kumaran: Oh, ugh, okay.
242 00:24:53.330 ⇒ 00:24:58.439 Robert Tseng: They rolled it out in July, and it was, like, the hottest thing on the block, and I don’t think anybody uses it.
243 00:24:59.120 ⇒ 00:25:06.719 Uttam Kumaran: Okay, alright, that’s very funny. Alright, cool. Okay, so this is good. Let’s talk about, Eden.
244 00:25:06.920 ⇒ 00:25:13.250 Uttam Kumaran: Anything to discuss for, like, project review? I don’t, like… again, we’re not…
245 00:25:13.780 ⇒ 00:25:16.510 Uttam Kumaran: this is the off-cycle, right, Robert? So…
246 00:25:16.620 ⇒ 00:25:22.040 Uttam Kumaran: deck will be prepared for next… by next Friday. I still want to have…
247 00:25:22.220 ⇒ 00:25:24.939 Uttam Kumaran: Amber send out, like, a wins thing.
248 00:25:25.410 ⇒ 00:25:30.779 Uttam Kumaran: just, like, I think we’re just gonna have… we’re to do something per client like that.
249 00:25:30.960 ⇒ 00:25:31.330 Robert Tseng: Yep.
250 00:25:31.330 ⇒ 00:25:41.819 Uttam Kumaran: So, if we’re okay with that, I feel pretty good at accumulating… I feel pretty confident accumulating the wins from this week, because it’s all just, like, Catalyst stuff related, and a couple other ad hocs.
251 00:25:42.140 ⇒ 00:25:45.099 Uttam Kumaran: Like, anything else to discuss here?
252 00:25:45.390 ⇒ 00:25:51.170 Robert Tseng: Yeah, I mean, the Catalyst stuff is still kind of… I mean, that’s… that’s been the tense…
253 00:25:51.380 ⇒ 00:25:54.469 Robert Tseng: That’s been the elephant in the room the past week, so…
254 00:25:55.560 ⇒ 00:25:57.590 Robert Tseng: I don’t… I don’t know if…
255 00:25:58.320 ⇒ 00:26:03.100 Robert Tseng: I actually don’t know if Amber should share anything about that, because, like, it’s just gonna invite more, like.
256 00:26:03.570 ⇒ 00:26:12.849 Robert Tseng: like, I’ve already… like, we’ve already managed the messaging there. Like, everybody knows that this is the main thing we’ve worked on, so I think I should be okay.
257 00:26:13.240 ⇒ 00:26:22.509 Henry Zhao: I just wanna say, Robert, though, but with, like, Ryan and Jonah’s recent responses, like, I think they know that we did good work on this, you know what I mean?
258 00:26:23.060 ⇒ 00:26:29.599 Robert Tseng: Jonah said something nice? I’m shocked. I did not… I probably haven’t seen it.
259 00:26:30.980 ⇒ 00:26:33.379 Uttam Kumaran: And they slack, like, way too much, like…
260 00:26:33.850 ⇒ 00:26:36.130 Uttam Kumaran: They should delete Slack off their phone.
261 00:26:36.500 ⇒ 00:26:38.359 Uttam Kumaran: Yeah, I mean.
262 00:26:38.530 ⇒ 00:26:46.340 Uttam Kumaran: I don’t… okay, if you guys already communicate, then I don’t care, we’re not gonna… I’m not gonna double down awkwardly, so yeah. Yeah, yeah, we’re okay. Okay, cool. Alright. Then…
263 00:26:46.840 ⇒ 00:26:50.350 Uttam Kumaran: Tell me about, like, these active tickets, like,
264 00:26:50.690 ⇒ 00:26:55.570 Uttam Kumaran: there’s… Demolati, there’s this one. Amber, did we end up, like, slacking?
265 00:26:57.610 ⇒ 00:26:58.910 Uttam Kumaran: Josh and Brad.
266 00:26:59.110 ⇒ 00:27:02.340 Amber Lin: Nope, my bad, I will do that right now.
267 00:27:02.340 ⇒ 00:27:04.260 Uttam Kumaran: Okay, thank you.
268 00:27:04.640 ⇒ 00:27:10.670 Uttam Kumaran: Rico, can you send a… can you send this in the channel, tag Amber, just so she has a reminder in Slack?
269 00:27:11.240 ⇒ 00:27:16.800 Uttam Kumaran: That would be great. And then, how about these tickets? Any… anything that’s gonna move over?
270 00:27:18.370 ⇒ 00:27:25.770 Henry Zhao: Yeah, I’m looking into this, MixPanel conversion drop-off. So, on October 11th, the conversion to MixPanel just, like, fell off a cliff.
271 00:27:25.910 ⇒ 00:27:29.159 Henry Zhao: So I’m helping Ryan and Danny Valdez look into why that is.
272 00:27:29.650 ⇒ 00:27:33.070 Uttam Kumaran: Can you say it one more time, so after Oct 11…
273 00:27:33.070 ⇒ 00:27:37.350 Henry Zhao: Mixed panel conversion… for trial.
274 00:27:37.350 ⇒ 00:27:38.100 Robert Tseng: You know what?
275 00:27:38.760 ⇒ 00:27:41.070 Robert Tseng: Danny Valdez is back? I thought he got fired.
276 00:27:42.820 ⇒ 00:27:43.280 Henry Zhao: Oh, really?
277 00:27:43.280 ⇒ 00:27:45.010 Robert Tseng: He is back. Oh, huh.
278 00:27:45.760 ⇒ 00:27:48.860 Robert Tseng: Okay, whatever, yeah, interesting.
279 00:27:49.310 ⇒ 00:27:51.230 Henry Zhao: So yeah, I’m trying to figure this out by end of day.
280 00:27:52.870 ⇒ 00:27:54.160 Uttam Kumaran: Is this urgent?
281 00:27:55.540 ⇒ 00:27:58.979 Henry Zhao: They said it’s urgent because they need to do their, like, KPIs.
282 00:27:59.260 ⇒ 00:28:02.359 Uttam Kumaran: Like, is someone gonna ping you today if it doesn’t happen?
283 00:28:04.190 ⇒ 00:28:08.580 Uttam Kumaran: We… because we’re already over on hours, like, I don’t want to work… do any more work on Eden this week.
284 00:28:09.510 ⇒ 00:28:12.060 Henry Zhao: Okay, I’ll just double-check. I’ll just say, can we do this on Monday?
285 00:28:14.790 ⇒ 00:28:19.799 Uttam Kumaran: Yeah, I would just say, like, hey, we’re slammed this week, can we do this next week?
286 00:28:20.380 ⇒ 00:28:21.439 Uttam Kumaran: Okay. That’s… yeah.
287 00:28:21.440 ⇒ 00:28:26.529 Robert Tseng: Yeah, if it’s urgent, have Danny just go and click around in there.
288 00:28:26.530 ⇒ 00:28:27.070 Henry Zhao: Yeah.
289 00:28:27.070 ⇒ 00:28:27.910 Robert Tseng: Okay, that’s…
290 00:28:27.910 ⇒ 00:28:40.759 Uttam Kumaran: Yeah, but then… but then also, like, have him write a document up, like, there’s nothing in this ticket, so if someone else has already done debugging work, have them write… send them our format for investigation.
291 00:28:41.260 ⇒ 00:28:48.180 Uttam Kumaran: have them take screenshots and do the work for you, you know? Otherwise, you’re gonna go do the same thing he did, and then, yeah, like.
292 00:28:48.550 ⇒ 00:28:51.199 Uttam Kumaran: I’m gonna say do this next week, unless…
293 00:28:51.870 ⇒ 00:28:57.350 Uttam Kumaran: If Robert doesn’t get a call… if Robert’s not gonna get a call about this today, we’re not doing any more eating work this week.
294 00:28:57.580 ⇒ 00:28:57.980 Henry Zhao: Okay.
295 00:28:57.980 ⇒ 00:28:59.620 Uttam Kumaran: I just can’t afford to, yeah.
296 00:28:59.620 ⇒ 00:29:00.190 Henry Zhao: Yep, alright.
297 00:29:00.190 ⇒ 00:29:00.680 Uttam Kumaran: Okay, thank you.
298 00:29:00.680 ⇒ 00:29:02.579 Henry Zhao: And Robert and I already talked about this earlier.
299 00:29:02.580 ⇒ 00:29:03.480 Uttam Kumaran: Okay, okay.
300 00:29:03.480 ⇒ 00:29:04.619 Robert Tseng: Yeah, yeah, we’re good.
301 00:29:05.870 ⇒ 00:29:06.730 Uttam Kumaran: Great.
302 00:29:07.090 ⇒ 00:29:13.280 Uttam Kumaran: And then… These ones, I guess Demolati, these are both you… .
303 00:29:14.460 ⇒ 00:29:20.350 Demilade Agboola: Yeah, so for the recurring request… I think…
304 00:29:20.350 ⇒ 00:29:24.189 Uttam Kumaran: I thought we said this was… oh, we created this recently.
305 00:29:24.560 ⇒ 00:29:27.130 Uttam Kumaran: I thought we said maybe there wasn’t anything this week.
306 00:29:27.610 ⇒ 00:29:34.819 Demilade Agboola: Yeah, so that was for the one from last week that we did earlier this week, so I think this is just basically us asking next week.
307 00:29:35.180 ⇒ 00:29:39.440 Demilade Agboola: That’s why the date is by 30th or something.
308 00:29:39.440 ⇒ 00:29:46.130 Uttam Kumaran: -Oh, okay. Rico, can you look at this recurring setup and make sure that it happens on Monday?
309 00:29:46.620 ⇒ 00:29:49.970 Uttam Kumaran: Not, like… Thursday?
310 00:29:52.470 ⇒ 00:29:55.419 Uttam Kumaran: Okay, but I’m gonna move this to the next cycle anyways.
311 00:29:55.940 ⇒ 00:29:56.850 Demilade Agboola: Okay…
312 00:29:57.730 ⇒ 00:30:02.960 Uttam Kumaran: And then, product sales summary, Like, I can pick the next week, too, if it’s… yeah.
313 00:30:02.960 ⇒ 00:30:04.890 Demilade Agboola: Yeah, yeah. It’s been on the back burner.
314 00:30:05.180 ⇒ 00:30:05.810 Uttam Kumaran: Okay.
315 00:30:10.320 ⇒ 00:30:12.810 Uttam Kumaran: Okay, cool, seemed pretty clear.
316 00:30:13.450 ⇒ 00:30:26.149 Uttam Kumaran: Except Amber, that’s on you. And then, Awash, so, Robert, basically what, what we, what we arrived here is there’s something firing to North Beam, nobody knows what it is.
317 00:30:26.320 ⇒ 00:30:34.810 Uttam Kumaran: And so my recommendation to Awash was get the server-side thing up, and then do a cutover.
318 00:30:34.960 ⇒ 00:30:39.429 Uttam Kumaran: Otherwise, if you cancel the current North Beam, whatever’s piping into there.
319 00:30:39.900 ⇒ 00:30:44.839 Uttam Kumaran: Something… someone may ask questions if we don’t have another setup, so that was sort of the…
320 00:30:45.560 ⇒ 00:30:47.419 Uttam Kumaran: discovery here. I don’t know if you…
321 00:30:47.420 ⇒ 00:31:00.029 Robert Tseng: Yeah. Did we look… is this, like, a legacy cloud function that, like, Rob set up that’s just still firing? Like, I don’t know, like, how did we not find how we’re sending data to Northbeam? I kind of find that hard to believe.
322 00:31:01.210 ⇒ 00:31:04.540 Awaish Kumar: Yeah, so that… that is coming from a script.
323 00:31:04.770 ⇒ 00:31:14.930 Awaish Kumar: But there is that script, I don’t know. So I went into GCP, I only find 3 different scripts there that are mainly,
324 00:31:15.040 ⇒ 00:31:18.370 Awaish Kumar: like, sending the SPANS data from Northwave.
325 00:31:18.690 ⇒ 00:31:23.770 Awaish Kumar: Which is coming from Reddit, or it’s, like, extracting from Northwind.
326 00:31:24.230 ⇒ 00:31:25.629 Robert Tseng: Okay, yeah, I remember that.
327 00:31:25.630 ⇒ 00:31:28.000 Awaish Kumar: There’s nothing like, sending orders.
328 00:31:28.000 ⇒ 00:31:28.829 Robert Tseng: What are we missing there?
329 00:31:29.420 ⇒ 00:31:41.510 Awaish Kumar: So, I couldn’t find it in… so I only see 3 scripts there in GCP, and there’s nothing in Daxter. I haven’t brought any pipeline for this. So, one of the…
330 00:31:41.710 ⇒ 00:31:44.579 Awaish Kumar: like, guess I have is maybe…
331 00:31:44.730 ⇒ 00:31:48.349 Awaish Kumar: While building the connector polyatomic.
332 00:31:50.420 ⇒ 00:31:59.389 Awaish Kumar: maybe ran some script which is still running in backend, because I stopped and in their UI, and I even deleted the connections in their UI in Polytomic.
333 00:31:59.400 ⇒ 00:32:02.590 Uttam Kumaran: Can you message… can you message Golub? Ask him?
334 00:32:04.070 ⇒ 00:32:05.920 Awaish Kumar: I haven’t… I can ask them, like.
335 00:32:05.920 ⇒ 00:32:08.339 Uttam Kumaran: Yeah, just messaged Just having.
336 00:32:08.340 ⇒ 00:32:19.440 Robert Tseng: Yeah, okay, so let’s say, worst case, we turn it off, you know, some missing data ends up going, like, there’s missing data passing to North Beam. Do we know how we would, like.
337 00:32:20.230 ⇒ 00:32:25.989 Robert Tseng: Like, have we accounted? Like, do we know how we would get it back up with our… with kind of replatforming it?
338 00:32:26.370 ⇒ 00:32:32.549 Robert Tseng: in our… in our Daxter, or I guess… I don’t exactly know how we’re sending… how we’re planning to send data into Northeast.
339 00:32:32.550 ⇒ 00:32:42.430 Awaish Kumar: Yeah, so we… so what was happening before is that we were sending data, someone else was sending the data, and it was, like, duplicated data was being…
340 00:32:43.260 ⇒ 00:32:54.989 Awaish Kumar: So now, the plan is that we come up with our own solution to send data to Northbe, and stop the existing one, and the way to stop it is that you delete the API key.
341 00:32:55.220 ⇒ 00:32:57.289 Awaish Kumar: That is being used in that script.
342 00:32:58.080 ⇒ 00:32:58.910 Robert Tseng: Okay.
343 00:32:59.760 ⇒ 00:33:00.360 Robert Tseng: So…
344 00:33:00.360 ⇒ 00:33:02.289 Awaish Kumar: Wherever it’s running, it will just fail.
345 00:33:03.080 ⇒ 00:33:04.770 Robert Tseng: Okay, understood.
346 00:33:06.970 ⇒ 00:33:10.529 Uttam Kumaran: So, I’m gonna create… a related ticket.
347 00:33:10.680 ⇒ 00:33:12.590 Uttam Kumaran: That we can talk about on Monday.
348 00:33:13.440 ⇒ 00:33:19.300 Uttam Kumaran: Which is… Create new… North Beam.
349 00:33:20.320 ⇒ 00:33:21.920 Uttam Kumaran: the integration.
350 00:33:22.430 ⇒ 00:33:24.530 Uttam Kumaran: And we can talk about this next week.
351 00:33:26.950 ⇒ 00:33:39.510 Uttam Kumaran: Okay, alright, this client is good. Read me, all I’m gonna do, basically, Robert, is summarize our meeting yesterday. I’ll get tickets created for next week. Great.
352 00:33:39.510 ⇒ 00:33:43.879 Henry Zhao: And I wanna… and I wanna get those… that list of questions from Ashley.
353 00:33:44.510 ⇒ 00:33:50.079 Uttam Kumaran: Yeah, I mean, we have… I think the meeting had everything we needed, so I don’t think there’s more questions to get from Ashley.
354 00:33:50.270 ⇒ 00:33:51.000 Robert Tseng: Yeah.
355 00:33:51.160 ⇒ 00:33:51.770 Uttam Kumaran: Yeah. Okay.
356 00:33:52.340 ⇒ 00:33:53.540 Uttam Kumaran: There’s nothing, like…
357 00:33:53.670 ⇒ 00:33:59.389 Uttam Kumaran: We don’t have, like, basic analytics for their product, so there’s, like, a hundred other things for us to do here.
358 00:33:59.620 ⇒ 00:34:10.139 Henry Zhao: Okay, I might ask for some help then. I’m… I’m having trouble, like, getting these… this, analysis done in MongoDB, so if anyone has just, like, maybe some free time to…
359 00:34:10.170 ⇒ 00:34:16.099 Uttam Kumaran: Can you put your question somewhere in the channel? Like, I didn’t know… yeah, I mean, this ticket has been here all week, so…
360 00:34:16.580 ⇒ 00:34:19.090 Uttam Kumaran: I sort of assumed, like, nothing’s happening here.
361 00:34:19.649 ⇒ 00:34:22.359 Henry Zhao: I’ve been working on it, but I just haven’t been able to succeed yet.
362 00:34:22.360 ⇒ 00:34:26.570 Uttam Kumaran: But is there, like, do you have, like, is there any notes or anything on, like, what has been.
363 00:34:26.570 ⇒ 00:34:30.979 Henry Zhao: I’ll leave some notes, but basically my queries take forever to run, and they’re just…
364 00:34:30.980 ⇒ 00:34:43.110 Uttam Kumaran: Yeah, like, so guys, if you’re having queries take a long time to run, I can’t run a query. Guys, we have a hundred data people here. You should not be wasting time saying my query’s taking time to run, or blah blah blah, like…
365 00:34:43.420 ⇒ 00:34:54.989 Uttam Kumaran: you just gotta ask, like, these are not the things I want to hear 5 days after a ticket… 10 days or whatever after a ticket gets created, that we haven’t been able to run a single MongoDB query.
366 00:34:55.139 ⇒ 00:34:57.920 Uttam Kumaran: like… Let’s call.
367 00:34:57.920 ⇒ 00:34:59.640 Henry Zhao: I’m looking to do that.
368 00:34:59.850 ⇒ 00:35:01.170 Uttam Kumaran: I know, but like…
369 00:35:01.770 ⇒ 00:35:06.539 Uttam Kumaran: these… again, like, that doesn’t mean anything to me. Like, MongoDB query is not working, like…
370 00:35:07.110 ⇒ 00:35:11.330 Uttam Kumaran: why haven’t I seen a Slack message, or a note, or anything about that? Like…
371 00:35:11.470 ⇒ 00:35:12.730 Uttam Kumaran: You know, I think this is…
372 00:35:12.730 ⇒ 00:35:13.320 Henry Zhao: Oh, no.
373 00:35:13.570 ⇒ 00:35:25.130 Uttam Kumaran: Yeah, like, and there’s no updates on the ticket, there’s no, like, notes anywhere where I can reproduce a problem. Everybody on… like, half the people on this call could… are, like, dreaming about SQL every day.
374 00:35:25.130 ⇒ 00:35:37.140 Uttam Kumaran: And so, it’s not a… running a SQL query is not the thing that I want to be hooked on. Like, we’re… we’re… we’re late on a lot of this analysis for README. So I’ll… if you could just send me, like, where we’ve gone to this week.
375 00:35:37.270 ⇒ 00:35:47.210 Uttam Kumaran: So that, on your side, so that we can just have a clear note, and then I think we’re gonna… we’ll kind of, like, plan for next week and kind of see what the game plan is. So I’ll… so I’ll send both,
376 00:35:47.850 ⇒ 00:35:52.459 Uttam Kumaran: I’m gonna… I guess, do you think an email is valid, Robert, too?
377 00:35:53.760 ⇒ 00:35:55.840 Robert Tseng: Oh, to read me?
378 00:35:55.840 ⇒ 00:35:56.380 Uttam Kumaran: Yeah.
379 00:35:56.380 ⇒ 00:35:57.800 Robert Tseng: I…
380 00:35:57.800 ⇒ 00:35:58.320 Uttam Kumaran: They OD.
381 00:35:58.320 ⇒ 00:36:00.739 Robert Tseng: That’s fine. I think that’s fine. Yeah.
382 00:36:00.740 ⇒ 00:36:06.260 Uttam Kumaran: So I’m gonna… I’ll just send a… I’m gonna send a Slack… great Slack message today with everything we talked about, that’s fine.
383 00:36:06.400 ⇒ 00:36:14.990 Uttam Kumaran: Hype, you have everything. I think this is something where next week, me and Awash will plan and knock out a few more items for them. I’ve sent you, kind of, like.
384 00:36:14.990 ⇒ 00:36:18.250 Awaish Kumar: We have a meeting today with Shila.
385 00:36:18.680 ⇒ 00:36:19.500 Uttam Kumaran: Okay, great.
386 00:36:20.130 ⇒ 00:36:36.209 Robert Tseng: Yeah, I wish we’ll be jumping on with Audrey at 4. I’m going to be talking to her before that, so I’m meeting her at 2. I’m basically going to review your project review doc, read through that, and anything else you want me to read through… I mean, my goal is basically just to tell her, do we keep at the same pace?
387 00:36:36.420 ⇒ 00:36:43.190 Robert Tseng: I mean, you’re gonna get a bill, you’re gonna keep at the same pace, or do you want us to… are we ready to kind of move to the next phase? So…
388 00:36:43.190 ⇒ 00:36:48.039 Uttam Kumaran: Yeah, ask her that. I would say listen to the last 20 minutes of that call I sent you.
389 00:36:48.830 ⇒ 00:36:50.349 Robert Tseng: That’s in the channel, right? Okay.
390 00:36:50.350 ⇒ 00:36:56.600 Uttam Kumaran: Yeah, we basically talk about, like, the next steps, and I push them towards thinking about Timelines.
391 00:36:56.890 ⇒ 00:37:05.910 Uttam Kumaran: And I was like, hey, you guys need to give us… can you get… I said, like, if you don’t give me a timeline, I’m gonna give us a timeline for our work, and then we’re gonna work backwards. So…
392 00:37:05.990 ⇒ 00:37:22.750 Uttam Kumaran: I was like, you need to think about when you want certain things done. It’s clear that they’ve broken up into three… there’s three key pieces. There’s new patient, there’s existing patient, and then there’s in… there’s, like, the actual in-office delivery sort of workflow. And so all three of those, we need to…
393 00:37:23.120 ⇒ 00:37:31.699 Uttam Kumaran: design out, and then test, and, like, end-to-end, and then that’s where the synthetic data and stuff will come in. So that’s, like, the current roadmap.
394 00:37:32.180 ⇒ 00:37:38.029 Robert Tseng: Dry run for the clinic is, you know, I think by February, so we gotta…
395 00:37:38.030 ⇒ 00:37:40.169 Uttam Kumaran: That it’s… it may move even more.
396 00:37:40.460 ⇒ 00:37:41.410 Robert Tseng: Oh, really?
397 00:37:41.410 ⇒ 00:37:49.449 Uttam Kumaran: Yeah, but again, like I said, I can’t… I said, you just have to give us something to work with, because we can continue to do damage. I think one thing is to ask her.
398 00:37:49.600 ⇒ 00:37:51.899 Uttam Kumaran: what do you think about the pace? Do you want, like…
399 00:37:52.190 ⇒ 00:38:11.440 Uttam Kumaran: is it good? Is it bad? Like, I… so that’s… that’s… that’s one thing. Second is, yes, like, there’s gonna be a bill coming, and… and so third is to understand, like, hey, do we want to move to something more predictable? Do you think the current pace that we’re doing is fine? And then, we have plenty of stuff created, and I think we’ve shown that we’re…
400 00:38:12.130 ⇒ 00:38:14.660 Uttam Kumaran: The right people for this type of gig, so… yeah.
401 00:38:15.080 ⇒ 00:38:15.989 Uttam Kumaran: Should be up to you.
402 00:38:16.150 ⇒ 00:38:17.090 Robert Tseng: Okay, sure.
403 00:38:17.090 ⇒ 00:38:18.690 Uttam Kumaran: Okay, cool.
404 00:38:19.120 ⇒ 00:38:23.529 Uttam Kumaran: For Ellie, yeah, I mean, we’re… it’s kind of a similar deal, I guess I’m kind of…
405 00:38:23.840 ⇒ 00:38:27.070 Uttam Kumaran: next… next week is our thing. Next Friday, so…
406 00:38:27.070 ⇒ 00:38:27.720 Robert Tseng: Yep.
407 00:38:27.890 ⇒ 00:38:30.120 Uttam Kumaran: yeah.
408 00:38:31.040 ⇒ 00:38:33.010 Uttam Kumaran: Okay.
409 00:38:33.130 ⇒ 00:38:43.009 Robert Tseng: I mean, I see that Allison’s trying to test, like, the stuff as Oren had stood up, like, I don’t know, we haven’t… we haven’t had a call with her in, like, 2 weeks, so I don’t… I haven’t heard from her, like, how she’s thinking about all this.
410 00:38:43.010 ⇒ 00:38:44.409 Uttam Kumaran: We called her last week.
411 00:38:44.580 ⇒ 00:38:45.380 Robert Tseng: Okay.
412 00:38:45.380 ⇒ 00:38:47.679 Uttam Kumaran: We didn’t call her this week, but we’ve been in Slack.
413 00:38:47.990 ⇒ 00:38:49.170 Uttam Kumaran: Okay. Like…
414 00:38:49.290 ⇒ 00:38:56.500 Uttam Kumaran: I would say, and if you think I should go set this up, I would like me, you, her, and Zoran to get on a call, like, Tuesday.
415 00:38:56.730 ⇒ 00:39:01.909 Robert Tseng: Okay, I’ll slack her for now. But did you look at Azure already? Yeah.
416 00:39:01.910 ⇒ 00:39:06.749 Uttam Kumaran: Yes, so I’m our… I’m… I’m coordinating on that and meeting with them.
417 00:39:07.610 ⇒ 00:39:13.509 Uttam Kumaran: Oh, they didn’t respond to my email, but that’s also something, Rico, can you ping me again in Ellie Channel? I need to follow up on…
418 00:39:13.880 ⇒ 00:39:16.110 Uttam Kumaran: Yeah, but that stuff’s already in motion.
419 00:39:16.290 ⇒ 00:39:16.990 Robert Tseng: Okay.
420 00:39:17.840 ⇒ 00:39:23.139 Uttam Kumaran: Okay, cool. And then the last, thing is for,
421 00:39:24.160 ⇒ 00:39:33.750 Uttam Kumaran: read me… or what am I thinking? For ABC, I think the next steps are pretty clear, Amber, right? So we’re… we just need to get that, meeting booked for Tuesday.
422 00:39:34.460 ⇒ 00:39:37.509 Uttam Kumaran: To pitch them on the next piece.
423 00:39:37.510 ⇒ 00:39:39.320 Amber Lin: And that’s it.
424 00:39:39.450 ⇒ 00:39:45.199 Uttam Kumaran: And… Yeah, I may send a little recap email.
425 00:39:46.020 ⇒ 00:39:50.600 Uttam Kumaran: again today, just to do it. And then Urban Stems.
426 00:39:50.740 ⇒ 00:39:56.230 Uttam Kumaran: Yeah, I think, OH, I kind of… I probably just need your help on a couple things there, so I’ll ping you.
427 00:39:56.400 ⇒ 00:40:02.800 Uttam Kumaran: And then we can… I think, similarly for Urban Stems, Amber, we can send a Slack Slack update.
428 00:40:03.070 ⇒ 00:40:06.020 Uttam Kumaran: And I… and I want to send an email update.
429 00:40:06.260 ⇒ 00:40:10.459 Uttam Kumaran: With just, like, what we got done this week.
430 00:40:10.660 ⇒ 00:40:15.869 Uttam Kumaran: we have the meeting with Zach next week. I’m gonna push on the, kind of, renewal conversation.
431 00:40:15.980 ⇒ 00:40:17.379 Uttam Kumaran: But I want to sort of, like.
432 00:40:18.450 ⇒ 00:40:20.369 Uttam Kumaran: And a bunch of stuff to everybody, yeah.
433 00:40:21.210 ⇒ 00:40:24.679 Awaish Kumar: Yeah, I updated the metaplane for urban stems as well.
434 00:40:24.920 ⇒ 00:40:26.610 Uttam Kumaran: Okay, can you send,
435 00:40:26.900 ⇒ 00:40:37.010 Uttam Kumaran: Can you, okay, great. Do you have… alright, we should… I wanna talk about doing architecture review also on, like, how we’re gonna do alerting and notifications, and, like, error logging across clients.
436 00:40:37.510 ⇒ 00:40:40.669 Uttam Kumaran: But, yeah, maybe I’ll Slack you, we can talk ASIC about it.
437 00:40:41.330 ⇒ 00:40:41.990 Awaish Kumar: Okay.
438 00:40:42.390 ⇒ 00:40:44.220 Uttam Kumaran: Okay, cool. Anything else?
439 00:40:45.580 ⇒ 00:40:46.450 Uttam Kumaran: Nice.
440 00:40:46.570 ⇒ 00:40:47.550 Uttam Kumaran: and gas.
441 00:40:50.620 ⇒ 00:40:51.390 Uttam Kumaran: Okay.
442 00:40:52.150 ⇒ 00:40:57.309 Uttam Kumaran: Alright, thank you. So a lot of follow-ups, we’ll kind of chat in Slack, and then, yeah, I think probably biggest…
443 00:40:57.670 ⇒ 00:40:59.379 Uttam Kumaran: Sort of like,
444 00:40:59.870 ⇒ 00:41:06.289 Uttam Kumaran: thing today is Amber and Demolade, if you guys can crush out your insomnia stuff today.
445 00:41:06.430 ⇒ 00:41:09.570 Uttam Kumaran: That’s kind of, like, the most… bike.
446 00:41:09.980 ⇒ 00:41:12.639 Uttam Kumaran: Thing, we… that’s the number one thing we gotta just, like.
447 00:41:12.780 ⇒ 00:41:16.530 Uttam Kumaran: bang on… on… on Monday, so I want to make sure that we can do that.
448 00:41:17.720 ⇒ 00:41:22.739 Uttam Kumaran: So Slack me if you’re gonna log off and you’re, like, not there yet, and I can come help.
449 00:41:25.400 ⇒ 00:41:26.210 Uttam Kumaran: Okay.
450 00:41:26.480 ⇒ 00:41:27.540 Uttam Kumaran: Thank you, guys!
451 00:41:27.650 ⇒ 00:41:28.800 Uttam Kumaran: I’ll talk to you soon.
452 00:41:29.760 ⇒ 00:41:30.530 Robert Tseng: Thanks.
453 00:41:30.530 ⇒ 00:41:31.056 Awaish Kumar: Thank you.
454 00:41:31.320 ⇒ 00:41:31.980 Samuel Roberts: Everyone.