Meeting Title: AI-Default-ABC Standup Date: 2025-11-19 Meeting participants: Uttam Kumaran, Robert Tseng, Mustafa Raja, Rico Rejoso, Casie Aviles, Ashwini Sharma, Amber Lin, Zoran Selinger, Henry Zhao
WEBVTT
1 00:02:50.480 ⇒ 00:02:51.920 Robert Tseng: Hey, does this look okay?
2 00:02:54.080 ⇒ 00:02:55.049 Robert Tseng: Does anyone know?
3 00:02:55.430 ⇒ 00:03:01.080 Uttam Kumaran: Yeah, I mean, it looks like a… it looks like phone.
4 00:03:01.450 ⇒ 00:03:02.300 Uttam Kumaran: Okay.
5 00:03:02.450 ⇒ 00:03:04.280 Robert Tseng: Alright, well then, yeah.
6 00:03:06.820 ⇒ 00:03:08.840 Uttam Kumaran: Let me, let me ping everyone.
7 00:03:13.230 ⇒ 00:03:16.809 Robert Tseng: I’ve been running things slightly… a little bit differently from you, so just… yeah, just…
8 00:03:16.810 ⇒ 00:03:21.540 Uttam Kumaran: That’s fine, I’m just listening, I’m doing, like, a bunch of other stuff, so I’m just here to listen.
9 00:03:21.540 ⇒ 00:03:22.100 Robert Tseng: Right.
10 00:03:22.920 ⇒ 00:03:26.860 Robert Tseng: Only I could hide this differently, then, you know, it’s fine.
11 00:03:31.270 ⇒ 00:03:32.270 Robert Tseng: Oh, there we go.
12 00:03:41.230 ⇒ 00:03:41.950 Robert Tseng: Okay.
13 00:03:50.030 ⇒ 00:03:51.870 Robert Tseng: Who’s on now?
14 00:03:52.180 ⇒ 00:03:53.270 Uttam Kumaran: Hey, Ashwini.
15 00:03:54.430 ⇒ 00:03:55.750 Ashwini Sharma: Hey, good morning.
16 00:03:56.500 ⇒ 00:03:57.279 Ashwini Sharma: My camera.
17 00:03:57.750 ⇒ 00:03:58.519 Uttam Kumaran: Hey, good morning.
18 00:03:58.970 ⇒ 00:04:04.260 Uttam Kumaran: I’ll just introduce you. I’m glad that we got things signed. Maybe you can just kind of
19 00:04:04.440 ⇒ 00:04:08.259 Uttam Kumaran: Listen in on sort of all the work we’re doing, but,
20 00:04:08.650 ⇒ 00:04:14.050 Uttam Kumaran: You have Robert, Mustafa, Rico, Casey, a few other people that are… Late.
21 00:04:14.470 ⇒ 00:04:17.640 Uttam Kumaran: That I will be pinging. Actually, Rico, do you want to…
22 00:04:17.970 ⇒ 00:04:19.400 Uttam Kumaran: Do you wanna check on,
23 00:04:19.649 ⇒ 00:04:23.990 Uttam Kumaran: Henry, Zoran, Awash and Demolade are out, so it’s just those two.
24 00:04:23.990 ⇒ 00:04:25.660 Robert Tseng: Reese said that he wasn’t gonna come.
25 00:04:25.660 ⇒ 00:04:33.050 Uttam Kumaran: Okay, okay, so it’s just Zora and Amber, okay. Yeah, but Ashwini is, joining our AED team.
26 00:04:33.210 ⇒ 00:04:34.230 Uttam Kumaran: So I’ll.
27 00:04:34.230 ⇒ 00:04:35.130 Robert Tseng: Amazing.
28 00:04:35.130 ⇒ 00:04:52.670 Uttam Kumaran: I’ll probably, Ashwin, on our next Friday meeting, or I’ll… once you get into Slack and stuff, I’ll have you give a bigger introduction, but maybe if you want to give the two-second introduction on you, your background, and then you can just observe today, and we’ll book time later to kind of, like, talk more.
29 00:04:53.350 ⇒ 00:04:57.069 Ashwini Sharma: Sure, yeah. Hi everyone, my name is Ashwini, I’m from India.
30 00:04:57.170 ⇒ 00:05:00.720 Ashwini Sharma: Been working in data since quite some time,
31 00:05:00.990 ⇒ 00:05:07.880 Ashwini Sharma: currently in the role of data architect, and previously worked at Shopify, Data Reliability, and
32 00:05:08.000 ⇒ 00:05:10.280 Ashwini Sharma: 5 tran for data ingestion.
33 00:05:11.450 ⇒ 00:05:14.380 Uttam Kumaran: Yeah, Shweeney worked at Fivetran, by the way, so…
34 00:05:14.580 ⇒ 00:05:20.000 Uttam Kumaran: I feel like we had really great conversations about all the connectors and things like that.
35 00:05:20.140 ⇒ 00:05:23.500 Uttam Kumaran: Robert, he worked on the NetSuite connector, so…
36 00:05:23.500 ⇒ 00:05:24.539 Robert Tseng: Oh, amazing.
37 00:05:24.540 ⇒ 00:05:26.489 Uttam Kumaran: We were talking about that a bunch.
38 00:05:26.580 ⇒ 00:05:29.270 Henry Zhao: I already need help with that.
39 00:05:29.560 ⇒ 00:05:31.060 Uttam Kumaran: Yeah.
40 00:05:31.490 ⇒ 00:05:33.549 Ashwini Sharma: Yeah, yeah, reach out to me anytime.
41 00:05:34.280 ⇒ 00:05:40.330 Uttam Kumaran: So cool, yeah, Robert, I’ll let you take it away, and yeah, Ashwini, just feel free to listen, and we’ll catch up later today.
42 00:05:40.650 ⇒ 00:05:49.660 Robert Tseng: Sure, yeah, so, sorry guys, I’m on my phone for this stand-up. I’ll be on my computer for the other ones. If you have any trouble looking at things, just let me know.
43 00:05:49.920 ⇒ 00:05:56.210 Robert Tseng: I want to start with, I’ll probably go to the other, other, other way around, so we’ll start with README first today.
44 00:05:56.540 ⇒ 00:06:02.520 Robert Tseng: Yeah, so I guess there’s, like, something that we’re working on here. I’m gonna reassign this to,
45 00:06:03.170 ⇒ 00:06:04.310 Robert Tseng: Mustafa?
46 00:06:07.430 ⇒ 00:06:10.750 Robert Tseng: So what we’re gonna do here is…
47 00:06:10.920 ⇒ 00:06:16.419 Robert Tseng: I mean, we already did the walkthrough yesterday, but, I think…
48 00:06:17.040 ⇒ 00:06:26.180 Robert Tseng: we’ve walked through an amplitude, but just having some issues matching it up with Mongo, so… Mustafa, if you could just kind of look through the,
49 00:06:26.500 ⇒ 00:06:32.269 Robert Tseng: the Slack channel, and then, if you need any other contacts, you can catch up with either Awish or ask me.
50 00:06:32.270 ⇒ 00:06:32.670 Mustafa Raja: Yeah.
51 00:06:32.670 ⇒ 00:06:49.049 Robert Tseng: We’re just validating those steps in the funnel that we kind of talked about yesterday. I wasn’t able to finish it, and I think there are just still some lingering questions, so we can huddle afterwards if we need to, but I think this is just something that, you know, we just need to get done this week.
52 00:06:50.040 ⇒ 00:06:56.730 Mustafa Raja: Yeah, the goal would be to, to just, double-check, that the data that we have in Amplitude Funnel is
53 00:06:56.860 ⇒ 00:06:59.870 Mustafa Raja: It’s the same as, in Mongo, right?
54 00:07:00.190 ⇒ 00:07:13.899 Robert Tseng: Yeah, I’ve taken a screenshot of, like, what you can match against for the month of September. I mean, I think Oasis, like, maybe most of the way there, but I… I just don’t understand the assumptions he’s making, and the numbers are still, like, off, so… I just think that…
55 00:07:14.010 ⇒ 00:07:29.380 Robert Tseng: you know, I don’t feel comfortable running more queries in Mongo. I’m not gonna be able to for the next… for the next, I don’t know, half day, so, it’ll involve you kind of going into Mongo, being able to run some queries, against… against the data that we have in Amplitude.
56 00:07:33.250 ⇒ 00:07:41.610 Robert Tseng: Okay. Yeah, I mean, Tom, I’m, like, not sure how quickly it’ll be for him to pick it up. Like, I struggled. Tom took me an hour, hour and a half yesterday, and I still didn’t finish.
57 00:07:41.610 ⇒ 00:07:53.229 Uttam Kumaran: Yeah, the Mongo… I think I’m… I’m… I’m confident you’ll figure out the Mongo thing, but I think I just… I want the questions to come in faster. So, Mustafa, take a look today.
58 00:07:53.570 ⇒ 00:07:57.589 Uttam Kumaran: And… do your magic, like, just ask questions, and I’ll help you through it.
59 00:07:57.590 ⇒ 00:08:00.350 Robert Tseng: Yeah, yeah. Okay. Yeah. I’ll do that, thank you.
60 00:08:00.930 ⇒ 00:08:02.960 Robert Tseng: Alright, let’s move on. Honey Singer?
61 00:08:03.070 ⇒ 00:08:08.080 Robert Tseng: So, Henry, we talked through some of these tickets yesterday, they look good, but I just wanted to know what progress you’ve made on it.
62 00:08:08.640 ⇒ 00:08:14.709 Henry Zhao: Yeah, so I have the data, I just need some help telling the story now. I made a loom, and I sent you the…
63 00:08:14.910 ⇒ 00:08:29.819 Henry Zhao: Loom in the Honey Stinger channel, so if anyone has some free time and wants to also give their two cents, that would be great. I pulled all the data we talked about yesterday, but didn’t really find anything that interesting or non-obvious, so that’s why I could use some help.
64 00:08:30.310 ⇒ 00:08:37.189 Robert Tseng: Okay, so we have… we broke this out into sub-issues, so tell me, like, you know, where we had PO trends over time.
65 00:08:37.659 ⇒ 00:08:40.940 Robert Tseng: I mean, I can watch The Loom if you want, but, like, what are the takeaways?
66 00:08:42.760 ⇒ 00:08:53.399 Henry Zhao: So yeah, some of the POs, some of the ASINs have spikes, like, over time, but what can I analyze to understand why those were spiking?
67 00:08:54.050 ⇒ 00:09:00.239 Henry Zhao: Like, I don’t know why someone… they would sell more, like, honey waffles in August or September, you know what I mean?
68 00:09:00.780 ⇒ 00:09:07.570 Henry Zhao: So… I guess I’ve had some more historical data, like Sam, is Sam in here?
69 00:09:08.440 ⇒ 00:09:10.460 Henry Zhao: No, Sam’s not in here, but…
70 00:09:10.860 ⇒ 00:09:16.679 Henry Zhao: Yeah, I just need to know… I just need to know if Fivetran has already finished syncing all the historical data that we have for Amazon.
71 00:09:16.920 ⇒ 00:09:22.209 Henry Zhao: Cause if I had more than one year of data, I could tell, like, if it’s an annual seasonality thing.
72 00:09:22.670 ⇒ 00:09:23.750 Henry Zhao: or, or not.
73 00:09:24.540 ⇒ 00:09:31.369 Henry Zhao: So, like, if every September Honey Stinger or Energy Waffles, like, had a spike in POs, then we can prepare for that next September, you know?
74 00:09:32.600 ⇒ 00:09:35.979 Henry Zhao: Oh, but this is checking forecast values, so I checked, like.
75 00:09:36.120 ⇒ 00:09:43.620 Henry Zhao: weekly forecasts that Amazon has against how many actual orders are being ordered, and the Amazon forecast is pretty good.
76 00:09:44.210 ⇒ 00:09:50.880 Henry Zhao: So, moving forward, we can probably use the Amazon forecast values to kind of understand the volumes.
77 00:09:52.290 ⇒ 00:09:54.300 Robert Tseng: I’m pretty good, like, what do we mean?
78 00:09:56.220 ⇒ 00:09:59.920 Henry Zhao: So no actual volumes went over the P90 estimate.
79 00:10:00.630 ⇒ 00:10:07.329 Henry Zhao: So… Obviously, I need more data over time to make sure that this is always true.
80 00:10:07.910 ⇒ 00:10:20.250 Henry Zhao: But at least the data that I have now, it looks pretty good. There’s… and I looked at, like, percent error from mean, so the Amazon gives, like, a forecasted mean of order values, and I looked at the actual order values for the historical data that we do have.
81 00:10:20.910 ⇒ 00:10:27.779 Henry Zhao: and they’re all, like, within a reasonable percentage of errors. Like, the higher ones are low order volumes, which shouldn’t be a big issue.
82 00:10:28.250 ⇒ 00:10:35.640 Robert Tseng: Okay, so what I’m gathering is, for the PO expense, you feel like there’s not enough historical data for you to, like, do any sort of pattern matching across SKUs?
83 00:10:35.820 ⇒ 00:10:46.859 Robert Tseng: You’re just saying that some are getting ordered more frequently, some are not. I would say even being able to show that list is worth showing. I think Byron understands what it looks like on
84 00:10:47.030 ⇒ 00:10:56.760 Robert Tseng: maybe overall in the business, but breaking it out by channel and doing a deeper dive into Amazon, he’s probably never done before. So, even that’s worth it. So I think that could be a takeaway there.
85 00:10:57.380 ⇒ 00:11:06.269 Henry Zhao: Because he might know that, like, yeah, because he might know that, like, mini waffles sell higher, but he doesn’t know, like, when it sells higher from Amazon specifically, right, versus Klaviyo.
86 00:11:07.030 ⇒ 00:11:14.839 Robert Tseng: Yeah, well, so Kavio is not the platform, it’s through Shopify, through Walmart, through their other channels, so, I mean, we can extend it by saying, okay, now we understand what
87 00:11:15.030 ⇒ 00:11:17.469 Robert Tseng: what the, spending… what the PO…
88 00:11:17.580 ⇒ 00:11:24.479 Robert Tseng: what the POs look like on Amazon, but we can just match that across marketplaces as a next step. So,
89 00:11:24.610 ⇒ 00:11:27.010 Robert Tseng: Yeah, I’m assuming that it’ll…
90 00:11:27.190 ⇒ 00:11:33.169 Robert Tseng: maybe there are certain products that are selling better on Amazon than Shopify, and we can kind of continue off of that.
91 00:11:33.670 ⇒ 00:11:37.950 Robert Tseng: Okay, and then for this one, and you…
92 00:11:38.990 ⇒ 00:11:41.599 Robert Tseng: You want to go over this, or what is… what is this?
93 00:11:42.000 ⇒ 00:11:47.469 Henry Zhao: Yeah, so Amazon sells more if there is highly available inventory, but that’s pretty obvious.
94 00:11:48.050 ⇒ 00:11:59.880 Henry Zhao: So I did some research on, like, how highly available inventory sells more, and it’s pretty generic, so I don’t know what we want to get out of this analysis, basically.
95 00:12:01.120 ⇒ 00:12:04.840 Henry Zhao: Because it’s obvious that if you have highly available inventory, you’re going to sell more.
96 00:12:04.990 ⇒ 00:12:06.300 Henry Zhao: So…
97 00:12:06.460 ⇒ 00:12:12.400 Robert Tseng: Okay, but what is… what even is, I think, 3 levels of questions. What is highly available inventory?
98 00:12:13.000 ⇒ 00:12:23.080 Robert Tseng: how does it… how does it work? Like, why does it sell better? And then, like, third level is, like, is there any… does this inform, like, how they can do inventory planning, just, like, in general?
99 00:12:23.770 ⇒ 00:12:31.709 Henry Zhao: Yeah, so highly available inventory is… if Amazon predicts that you’re gonna sell a lot of something, they’re gonna have a lot of inventory available, and so when somebody does actually sell…
100 00:12:31.740 ⇒ 00:12:43.860 Henry Zhao: look to buy it, which, like I said from the previous analysis, where if the forecast is high, the sales are high, then somebody… then there’s gonna be demand for that product, so they’re gonna be searching for it, there’s gonna be available inventory, and the sales are gonna be high.
101 00:12:44.150 ⇒ 00:12:48.879 Henry Zhao: So, it’s kind of like a chicken and egg thing, where it’s like, we have the chicken, we have the egg, so what…
102 00:12:49.330 ⇒ 00:12:56.370 Henry Zhao: insights are we actually getting from this? We know that we want to have more highly available inventory, and we want to have high product sales.
103 00:12:57.010 ⇒ 00:13:12.850 Robert Tseng: Okay, I would go back to the Byron meeting one more time. He calls out two specific SKUs that are selling through faster than we want, or, like, either Amazon’s not speaking up, or they’re selling too fast. I wasn’t quite sure what his angle was, but what that tells me is he feels like.
104 00:13:13.000 ⇒ 00:13:13.980 Robert Tseng: I mean, yes.
105 00:13:14.140 ⇒ 00:13:18.859 Robert Tseng: I understand the chicken and egg problem. It’s like, based on your available inventory, that’s what you’re gonna sell.
106 00:13:18.950 ⇒ 00:13:37.619 Robert Tseng: like, is that actually the best way to distribute the inventory? Like, I don’t… I don’t… that’s… that’s what we’re trying to validate here. Is the highly available inventory the best way to distribute? And if not, like, is there… you know, can we actually verify that, like, the speed that he’s talking about it is… should be… should be, should be included
107 00:13:37.760 ⇒ 00:13:40.919 Robert Tseng: there should be more inventory, and Amazon’s missing out.
108 00:13:42.630 ⇒ 00:13:43.740 Robert Tseng: Does that make sense?
109 00:13:45.720 ⇒ 00:13:52.159 Henry Zhao: Kind of, but I’m gonna go back to the call and, kind of refresh myself on the context there.
110 00:13:53.180 ⇒ 00:13:53.740 Robert Tseng: Okay.
111 00:13:54.230 ⇒ 00:14:05.230 Robert Tseng: Yeah, I mean, I think in general, like, it’s fine, you’re answering the questions, but yeah, I mean, obviously, to make it more non-obvious, we just have to get very specific, kind of.
112 00:14:05.820 ⇒ 00:14:21.099 Robert Tseng: drill down into the specifics here that he’s talking about. Any patterns that were called out, hypotheses, like, this is kind of why we kind of look backwards from hypotheses. Like, yeah, I think the initial questions that I set you up with, just to kind of guide how you explore the data, but you need to tie it back to the question.
113 00:14:22.280 ⇒ 00:14:22.840 Henry Zhao: Yeah.
114 00:14:25.030 ⇒ 00:14:29.300 Robert Tseng: I’ll watch your loom in more detail, but, is that enough for you to keep going?
115 00:14:29.820 ⇒ 00:14:39.669 Henry Zhao: Yeah, and I think there was, like, a metric in the data on, like, deliverability, so maybe I will look at high and deliverability, so there was those two SKUs where they weren’t being
116 00:14:39.860 ⇒ 00:14:45.039 Henry Zhao: There wasn’t, like, the inventory was there, but it wasn’t deliverable, is what it sounds like.
117 00:14:45.950 ⇒ 00:14:46.540 Robert Tseng: Okay.
118 00:14:47.030 ⇒ 00:14:47.620 Henry Zhao: Yeah.
119 00:14:48.360 ⇒ 00:14:49.649 Henry Zhao: Take notes. Okay.
120 00:14:49.930 ⇒ 00:14:50.760 Henry Zhao: Thanks.
121 00:14:51.060 ⇒ 00:14:51.810 Robert Tseng: I don’t know.
122 00:14:52.150 ⇒ 00:14:59.040 Robert Tseng: Yeah, I guess I was talking about the property owner, the south side, that now you would do a spot on this, and…
123 00:14:59.700 ⇒ 00:15:01.860 Uttam Kumaran: Can you say that? Sorry, it’s coming in and out.
124 00:15:02.080 ⇒ 00:15:02.850 Uttam Kumaran: Robert.
125 00:15:04.950 ⇒ 00:15:06.010 Robert Tseng: Can we hear one?
126 00:15:07.160 ⇒ 00:15:08.290 Uttam Kumaran: Kind of.
127 00:15:08.290 ⇒ 00:15:09.159 Robert Tseng: Kind of.
128 00:15:09.830 ⇒ 00:15:11.140 Robert Tseng: Damn…
129 00:15:11.640 ⇒ 00:15:13.920 Uttam Kumaran: I heard Spike. Are you talking about Texas SQL?
130 00:15:14.590 ⇒ 00:15:17.700 Robert Tseng: I’m talking about… Intermediate models.
131 00:15:17.700 ⇒ 00:15:18.750 Mustafa Raja: This would be good.
132 00:15:18.750 ⇒ 00:15:19.470 Robert Tseng: management.
133 00:15:19.470 ⇒ 00:15:20.690 Uttam Kumaran: Go ahead, Mustafa, yeah.
134 00:15:21.010 ⇒ 00:15:39.489 Mustafa Raja: Yeah, yeah, so I’m, I’m catching up, myself with some of the, resources that you shared me, shared with me, regarding this, this sort of setup with DBT, and once I am, up to speed with that, I’ll start, modeling this.
135 00:15:40.970 ⇒ 00:15:41.550 Robert Tseng: Okay.
136 00:15:41.790 ⇒ 00:15:44.910 Robert Tseng: One more question I have around, around how serial
137 00:15:45.070 ⇒ 00:15:59.380 Robert Tseng: We had two email threads, maybe one Slack, maybe one email. I’m not… maybe I’d be mixing them up. We had something around Walmart, that we received, and then we got connected to the Amazon person, Danu.
138 00:15:59.800 ⇒ 00:16:06.970 Robert Tseng: I think I should connect Demi and Henry, so you can ask the questions of Demi directly, on anything else remaining about Amazon.
139 00:16:07.080 ⇒ 00:16:10.479 Robert Tseng: But what’s… what’s the… what’s the Walmart situation?
140 00:16:10.810 ⇒ 00:16:21.550 Uttam Kumaran: Yeah, I can go update on Walmart. So we do… we do have some data access via the UI that Sam is pulling and is gonna drop into Mother Duck. I just said drop everything you can find.
141 00:16:21.950 ⇒ 00:16:26.390 Uttam Kumaran: we, like, there’s still some issues with, like, we have Walmart Connect, but it’s, like.
142 00:16:26.900 ⇒ 00:16:45.950 Uttam Kumaran: I basically was, like, keep pushing, just like, if you can get stuff from the UI, just get stuff from the UI. So, there is sales data, so he should be updating us sometime in the next hour or two with… with Walmart data, Henry. So, if you don’t see that by, like, 1 o’clock, just send a ping. And then, I… I’m gonna loop you in
143 00:16:46.200 ⇒ 00:16:48.769 Uttam Kumaran: Henry into this Demi email.
144 00:16:49.150 ⇒ 00:16:52.150 Uttam Kumaran: I think this is their…
145 00:16:52.660 ⇒ 00:16:57.539 Uttam Kumaran: Is that Acosta.com? I think Acosta is something, forgot what it was.
146 00:17:00.220 ⇒ 00:17:01.490 Robert Tseng: Okay, great.
147 00:17:01.640 ⇒ 00:17:08.359 Uttam Kumaran: Yeah, Costa is their… is their retail, retail partner, so… Yeah.
148 00:17:09.960 ⇒ 00:17:11.930 Uttam Kumaran: I’ll just loop you in, you can ask for data.
149 00:17:14.579 ⇒ 00:17:17.359 Robert Tseng: Let’s move on to… was Amber on this call?
150 00:17:18.880 ⇒ 00:17:19.349 Amber Lin: Yep.
151 00:17:19.359 ⇒ 00:17:23.729 Robert Tseng: Okay. Let’s move on to… to insomnia. So…
152 00:17:24.509 ⇒ 00:17:31.359 Robert Tseng: I saw that you updated some of the tickets here. We’ll skip the bi-weekly deck, we’ll just go to this one.
153 00:17:35.490 ⇒ 00:17:41.270 Amber Lin: Yeah, I took a stab at that one. Not 100% sure.
154 00:17:41.630 ⇒ 00:17:47.630 Amber Lin: if I’m on the right track, but if I… if I am, I think I can work with Casey to get this started.
155 00:17:54.080 ⇒ 00:17:55.440 Robert Tseng: I… don’t.
156 00:17:55.580 ⇒ 00:18:00.160 Robert Tseng: No… what am I looking at? I’m just looking at your hypothetical chart?
157 00:18:00.620 ⇒ 00:18:03.930 Amber Lin: Yeah, the, weekly business review.
158 00:18:05.500 ⇒ 00:18:07.330 Robert Tseng: Is there a link, or is it just this?
159 00:18:07.620 ⇒ 00:18:14.379 Amber Lin: No, no, it was just this. So I wasn’t sure what we wanted, and if we do want to do it, I need to do the projections.
160 00:18:16.730 ⇒ 00:18:24.210 Robert Tseng: Okay, let’s just kind of take a couple minutes to work through this.
161 00:18:27.010 ⇒ 00:18:30.689 Robert Tseng: I think it’s less about charts,
162 00:18:41.000 ⇒ 00:18:41.330 Robert Tseng: Dude
163 00:18:43.650 ⇒ 00:18:51.140 Robert Tseng: So, I mean, I’ll double-click into this. This is what they currently have, right? This is a daily snapshot, every single day.
164 00:18:51.290 ⇒ 00:18:59.849 Robert Tseng: that has… Year over year, cost and revenue, year-over-year delta, and then weekly aggregations.
165 00:19:00.170 ⇒ 00:19:04.049 Robert Tseng: This is what AC spends 30 minutes updating every day.
166 00:19:04.230 ⇒ 00:19:09.109 Robert Tseng: So… To me, we’re coming up with a next version of this.
167 00:19:09.380 ⇒ 00:19:15.569 Robert Tseng: It’s gonna be something that’s not a daily tile. Maybe there could still be a daily tile, but,
168 00:19:16.160 ⇒ 00:19:27.319 Robert Tseng: maybe it’s just, like, one sheet that’s just, like, automatically updated. There’s another tab that’s more of, like, the, you can think about a chart, but, like.
169 00:19:28.150 ⇒ 00:19:30.590 Robert Tseng: I guess…
170 00:19:31.740 ⇒ 00:19:41.179 Robert Tseng: there… I do think the spreadsheet format makes more sense for now, like, just for, like, to mock something up. I don’t think you should jump straight into charts.
171 00:19:41.490 ⇒ 00:19:51.549 Robert Tseng: I… I feel like… If you’ve never designed a… business review.
172 00:19:51.690 ⇒ 00:19:55.070 Robert Tseng: spreadsheet before, you’re gonna struggle with this, so…
173 00:19:55.070 ⇒ 00:20:03.389 Amber Lin: I have not, and I was a bit confused, but I know it was assigned to me, I want to take a stab so you have some com- something to make comments on.
174 00:20:03.720 ⇒ 00:20:10.159 Robert Tseng: Okay, yeah, I think it will… I think it’s… I mean, I have examples floating around in the Google Drives,
175 00:20:10.670 ⇒ 00:20:21.529 Robert Tseng: But I think I will just build the design, and then you guys can, you guys can figure out how the data will, will, flow it to that. So…
176 00:20:23.050 ⇒ 00:20:26.279 Uttam Kumaran: Is it similar? Will it end up looking like this? Like…
177 00:20:26.280 ⇒ 00:20:30.739 Robert Tseng: It’ll look something similar, but, yeah, I mean, it’s…
178 00:20:31.850 ⇒ 00:20:46.820 Robert Tseng: Yeah, I mean, I don’t know, it’s, like, a pretty standard, like, format. It’s like, I’m not, like, innovating, coming up with anything new. I think this is just, like, a pretty standard way, of looking at releases, but, I guess it’s just not something that you’re…
179 00:20:47.300 ⇒ 00:20:49.500 Robert Tseng: I’ve been able to do, so…
180 00:20:49.730 ⇒ 00:20:56.300 Robert Tseng: Yeah, anyway, I think that’s… that’s something I can… I can… I can choose, so… I’ll…
181 00:20:56.700 ⇒ 00:21:04.730 Robert Tseng: follow up on a bills. So… Gather for something else.
182 00:21:05.200 ⇒ 00:21:06.420 Robert Tseng: Sorry.
183 00:21:07.850 ⇒ 00:21:08.560 Robert Tseng: accounts.
184 00:21:09.330 ⇒ 00:21:14.429 Robert Tseng: Alright, what about this?
185 00:21:18.190 ⇒ 00:21:24.129 Amber Lin: This one, I’ll create it in Brazen, still need to do the opportunity sizing.
186 00:21:24.240 ⇒ 00:21:29.969 Amber Lin: So we can put it in the deck and say, this is the new segments, this is what it will help you do.
187 00:21:30.890 ⇒ 00:21:32.210 Robert Tseng: Okay, great.
188 00:21:32.960 ⇒ 00:21:38.930 Robert Tseng: Yeah, this is a continuation of what we discussed with Nerdy this week, so… Makes sense.
189 00:21:39.190 ⇒ 00:21:41.710 Robert Tseng: Anything else I’m missing here?
190 00:21:42.010 ⇒ 00:21:42.770 Robert Tseng: This…
191 00:21:42.770 ⇒ 00:21:43.290 Amber Lin: Absolutely.
192 00:21:43.290 ⇒ 00:21:44.300 Robert Tseng: Banking? Yeah.
193 00:21:44.300 ⇒ 00:21:45.000 Amber Lin: Yeah.
194 00:21:45.180 ⇒ 00:21:55.979 Amber Lin: some opportunity there. I sent a summary in the Slack channel. I’m waiting a little bit on his data, but if he doesn’t send it, we’ll go into FDA ourselves and get it.
195 00:21:56.700 ⇒ 00:22:00.979 Amber Lin: So hopefully that opens up a new avenue where we can help with FDA.
196 00:22:01.780 ⇒ 00:22:03.340 Robert Tseng: What was the…
197 00:22:08.480 ⇒ 00:22:09.330 Uttam Kumaran: You’re cutting out.
198 00:22:17.290 ⇒ 00:22:22.820 Uttam Kumaran: Okay, we’ll wait for him to come back. But yeah, I guess, Amber, my only piece here, if there’s any immediate follow-ups.
199 00:22:23.290 ⇒ 00:22:26.989 Uttam Kumaran: To just send a summary of the meeting back to him, but otherwise…
200 00:22:28.210 ⇒ 00:22:31.759 Amber Lin: Oh, I can send a summary, I already wrote a summary for Robert’s.
201 00:22:31.760 ⇒ 00:22:39.089 Uttam Kumaran: Yeah, send the summary and just keep nudging, because if he’s… if we’re waiting on that data from Matt, just, like, keep pinging him until you get it, because that’ll be the core blocker.
202 00:22:39.260 ⇒ 00:22:40.500 Amber Lin: Yeah, I can do that.
203 00:22:40.880 ⇒ 00:22:41.670 Robert Tseng: Okay.
204 00:22:44.400 ⇒ 00:23:03.209 Amber Lin: And so, my day would be split in half between Insomnia and default today. I have a few tasks on default, but on Insomnia here, I have the follow-up. I polished the slides… well, I only changed the charts and colors yesterday, and then I have the follow-up analysis
205 00:23:03.820 ⇒ 00:23:05.400 Amber Lin: That I plan to do.
206 00:23:06.520 ⇒ 00:23:11.609 Robert Tseng: Okay, that sounds good. Yeah, there’s no, like, pressure to put out a deck this week. I think you’re basically doing the…
207 00:23:11.710 ⇒ 00:23:20.020 Robert Tseng: You know, the last deck was… it went well, so, like, we… we’re just… we’re following up on that, like, we’re not… we don’t always have to be sending new decks every week.
208 00:23:20.210 ⇒ 00:23:21.070 Robert Tseng: Wow.
209 00:23:21.610 ⇒ 00:23:31.020 Uttam Kumaran: Robert, if you make… if you make progress on the business review… on the, yeah, business review sheets, I can work with Amber on it later today, because I’m just working all day, so…
210 00:23:31.020 ⇒ 00:23:37.509 Robert Tseng: Yeah, that shouldn’t take me too long. I think I’ll do it. I’ll be seated in my 10 or 15 minutes.
211 00:23:37.510 ⇒ 00:23:38.110 Uttam Kumaran: Okay.
212 00:23:38.450 ⇒ 00:23:38.980 Robert Tseng: Yeah.
213 00:23:39.130 ⇒ 00:23:39.930 Robert Tseng: Okay.
214 00:23:40.420 ⇒ 00:23:44.400 Robert Tseng: Then, yeah, I think the last one to touch on would be Eden.
215 00:23:44.860 ⇒ 00:23:49.620 Robert Tseng: I know, Henry, this is more, kind of, there’s a lot of… you mentioned you have a few things.
216 00:23:50.980 ⇒ 00:23:53.840 Robert Tseng: But I guess we’ll just kind of go in order.
217 00:23:54.290 ⇒ 00:23:59.659 Robert Tseng: All things that are… I’ve been…
218 00:24:00.730 ⇒ 00:24:03.909 Robert Tseng: Are the DEs on this call? Is Damelade on this call?
219 00:24:04.600 ⇒ 00:24:05.860 Uttam Kumaran: Demolade’s out.
220 00:24:07.210 ⇒ 00:24:08.710 Henry Zhao: I’ve asked Casey for some help.
221 00:24:08.900 ⇒ 00:24:15.049 Uttam Kumaran: Yeah, just tell me what you need, I can help translate, but yeah, I would also defer to Casey as much as you can.
222 00:24:15.050 ⇒ 00:24:20.450 Henry Zhao: Yeah, so session replays and heatmaps requires some JavaScript knowledge, which I don’t have, so I’ve asked Casey for some help on that.
223 00:24:23.730 ⇒ 00:24:26.620 Robert Tseng: well, how would he know? We don’t even have those installed.
224 00:24:28.560 ⇒ 00:24:30.050 Henry Zhao: Yeah, to help me install it.
225 00:24:30.510 ⇒ 00:24:31.650 Robert Tseng: Oh, I see. Okay.
226 00:24:31.650 ⇒ 00:24:32.200 Henry Zhao: Yeah.
227 00:24:33.680 ⇒ 00:24:35.669 Henry Zhao: I mean, he… What about…
228 00:24:36.440 ⇒ 00:24:42.459 Robert Tseng: I was calling out Jim a lot of because I usually start by mentioning the things that are blocked, like.
229 00:24:43.650 ⇒ 00:24:48.079 Robert Tseng: These look like new blockers, so… What is, like, kind of…
230 00:24:48.080 ⇒ 00:24:48.650 Henry Zhao: What’s blocked.
231 00:24:48.650 ⇒ 00:24:49.919 Robert Tseng: here, I mean, some of it…
232 00:24:49.920 ⇒ 00:24:57.610 Henry Zhao: So, I’ve put in the client Eden chat yesterday, the data we need from BASC and the business impact, as you asked for.
233 00:24:58.150 ⇒ 00:25:05.280 Henry Zhao: And I’m also talking to Brad today, because he’s gonna also push, Zach to get back to us on getting this data.
234 00:25:05.710 ⇒ 00:25:10.959 Robert Tseng: Yeah, Brad tried to schedule with Zach, but it didn’t go anywhere, so I think we just gotta send a nudge there.
235 00:25:12.760 ⇒ 00:25:18.809 Robert Tseng: Are you in the channel with Basque? Did you see my message and Brad’s follow-up message with Basque? Okay.
236 00:25:21.260 ⇒ 00:25:22.130 Robert Tseng: Nope.
237 00:25:22.360 ⇒ 00:25:26.470 Robert Tseng: Then that’s… that’s all we can do for now.
238 00:25:26.470 ⇒ 00:25:28.720 Henry Zhao: Nothing’s gonna be blocked now by Demadi or…
239 00:25:28.720 ⇒ 00:25:29.910 Robert Tseng: on this call?
240 00:25:31.000 ⇒ 00:25:31.640 Zoran Selinger: I’m here.
241 00:25:31.640 ⇒ 00:25:33.509 Robert Tseng: Great. Okay, is Ron on this call?
242 00:25:33.810 ⇒ 00:25:36.509 Zoran Selinger: Alright. I’m here. Yeah, Zoran, do you want to give some updates?
243 00:25:36.910 ⇒ 00:25:37.910 Zoran Selinger: Yeah. Yeah.
244 00:25:38.130 ⇒ 00:25:43.669 Robert Tseng: Yeah, so you saw my message about Wicked, so I really want to go into.
245 00:25:43.850 ⇒ 00:25:59.280 Zoran Selinger: into evaluating exactly how much the leaf’s gonna be, because it’s… we didn’t know… even Cutter didn’t know that… that information about the price came from… from Stuart in the end.
246 00:25:59.730 ⇒ 00:26:12.209 Zoran Selinger: Yeah, so we just did not have the correct information at all in terms of cost. So, I kinda… I wanna put a pause on it. It’s… we’re still maybe gonna go with it.
247 00:26:12.450 ⇒ 00:26:15.819 Zoran Selinger: But, let’s just know exactly.
248 00:26:15.950 ⇒ 00:26:17.960 Zoran Selinger: What we’re gonna get.
249 00:26:18.330 ⇒ 00:26:25.109 Zoran Selinger: If we… if we were to switch, because it’s a significant commitment, both in price and, you know,
250 00:26:25.490 ⇒ 00:26:36.789 Zoran Selinger: the contract and… and upfront cost, and all of that. So, I… now I… it’s just… we should… we should know exactly. I know what to do there, and Henry, thanks for…
251 00:26:36.790 ⇒ 00:26:47.280 Zoran Selinger: for offering to help in terms of pulling the real numbers and all that. So, I’ll organize that today or tomorrow, and we’ll get going. I already sent email
252 00:26:47.280 ⇒ 00:26:50.960 Zoran Selinger: emails to… to… to the guys from, from NordBeam.
253 00:26:51.160 ⇒ 00:26:57.320 Henry Zhao: Yeah, because when we were discussing North Beam and Wicked reports, we had, like, a lot of theoretical of, like, edge layer is gonna improve.
254 00:26:57.560 ⇒ 00:27:06.569 Henry Zhao: tracking by this much, so we need Wicked, but now that we have actual data, let’s actually have a now discussion based in reality, and see if the lift that they expect is still there, so…
255 00:27:06.730 ⇒ 00:27:17.880 Zoran Selinger: Yeah, exactly. So before, basically, the switch represented, like, a significant change in how we track, and we really would be,
256 00:27:18.270 ⇒ 00:27:23.959 Zoran Selinger: ahead of the curve there, and I still do think that this is an eventuality.
257 00:27:24.170 ⇒ 00:27:26.919 Zoran Selinger: For us and for many companies.
258 00:27:27.070 ⇒ 00:27:34.240 Zoran Selinger: But we don’t have to go into that, necessarily right away. This project is still gonna be ready.
259 00:27:34.240 ⇒ 00:27:53.369 Zoran Selinger: once, if, like, the tracking prevention and all that technology, improves and becomes even more strict, this is always going to be ready for us, because we made that preparation, now we know what to do, but we don’t have to, necessarily make that… make that leak. So let’s… let’s check, let’s check on that.
260 00:27:53.510 ⇒ 00:27:59.760 Zoran Selinger: So… The next thing, Robert, that I have is I already
261 00:28:00.130 ⇒ 00:28:04.290 Zoran Selinger: talk to Avish about,
262 00:28:04.420 ⇒ 00:28:11.629 Zoran Selinger: creating a model for creating a new table for our uploads to… to, Meta.
263 00:28:11.950 ⇒ 00:28:16.789 Zoran Selinger: Because Qatar and the team, they want to activate Meta as soon as possible.
264 00:28:16.920 ⇒ 00:28:25.099 Zoran Selinger: So we’ll just, do, we’ll still have to decide whether it’s gonna be a daily upload, or a little bit more frequent.
265 00:28:25.530 ⇒ 00:28:30.699 Zoran Selinger: In terms of conversion. So, they want to have a specific conversion that’s only gonna credit
266 00:28:31.120 ⇒ 00:28:34.130 Zoran Selinger: Facebook, when it’s a first touch.
267 00:28:35.350 ⇒ 00:28:45.379 Zoran Selinger: when it’s a first touch channel. So, that’s what’s going to be really important, and they want to do something similar on TikTok as well later, but that’s not… that’s not urgent.
268 00:28:45.410 ⇒ 00:28:56.009 Zoran Selinger: So that thing, that’s our, kind of, priority right now. Also, catalysts, now that we have to revert back, we’ll have to work on that model.
269 00:28:56.460 ⇒ 00:28:57.500 Zoran Selinger: as well.
270 00:29:01.310 ⇒ 00:29:07.850 Zoran Selinger: And there is another piece. Oh yeah, I’m gonna do, tomorrow I’m gonna work on…
271 00:29:08.180 ⇒ 00:29:12.589 Zoran Selinger: on improvements to our edge, worker.
272 00:29:12.900 ⇒ 00:29:23.080 Zoran Selinger: We are going to add a few columns into our tables that are going to represent identifier, like, standard identifiers from J4 and segment.
273 00:29:23.210 ⇒ 00:29:25.930 Zoran Selinger: So, we’re gonna have more columns.
274 00:29:26.710 ⇒ 00:29:33.320 Zoran Selinger: to do merging with, you know, native segment tables and GA4 tables as well.
275 00:29:33.690 ⇒ 00:29:39.159 Zoran Selinger: So that will kind of enable us to do a little bit more with attribution and analysis.
276 00:29:39.390 ⇒ 00:29:51.600 Zoran Selinger: And also their busk issued an update with their session ID recently, so that’s gonna be a part of that work as well. I’m gonna have to digest that exactly and implement it.
277 00:29:52.460 ⇒ 00:29:53.060 Zoran Selinger: Okay.
278 00:29:53.060 ⇒ 00:29:58.450 Robert Tseng: A couple questions. So, like, is the edge layer solution actually being used right now in any, like.
279 00:29:59.040 ⇒ 00:30:00.340 Robert Tseng: material way.
280 00:30:00.820 ⇒ 00:30:01.660 Henry Zhao: Not yet.
281 00:30:03.430 ⇒ 00:30:06.600 Zoran Selinger: Sorry for what, I didn’t…
282 00:30:07.760 ⇒ 00:30:09.140 Uttam Kumaran: Edge Layer Solution.
283 00:30:11.870 ⇒ 00:30:22.299 Zoran Selinger: So, I mean, yeah, so this work, this piece that… that Henry is… is doing, is gonna be, is gonna be that, but also how we credit catalysts depends on…
284 00:30:22.440 ⇒ 00:30:24.360 Zoran Selinger: Depends on that, yeah.
285 00:30:24.860 ⇒ 00:30:25.460 Robert Tseng: Okay.
286 00:30:25.660 ⇒ 00:30:31.950 Zoran Selinger: We are directly looking at those two tables and, you know, order-completed table to do that.
287 00:30:32.170 ⇒ 00:30:36.210 Zoran Selinger: So, yeah, it’s absolutely instrumental to have those two tables.
288 00:30:36.480 ⇒ 00:30:37.080 Robert Tseng: Okay.
289 00:30:37.360 ⇒ 00:30:44.489 Henry Zhao: Yeah, and for reporting, I have a… I have a PR out, this is waiting for a wish to approve. I already talked to him yesterday, and addressed his comments.
290 00:30:44.620 ⇒ 00:30:48.879 Henry Zhao: But also, this is not high priority, because we only have one month of data, so…
291 00:30:49.150 ⇒ 00:30:51.270 Henry Zhao: It’s not like we need to urgently get it in there.
292 00:30:53.070 ⇒ 00:30:53.630 Robert Tseng: Okay.
293 00:30:54.720 ⇒ 00:31:00.879 Robert Tseng: I mean, it seems like a lot is going to waste. I mean, each time you said that he was pretty, pretty tight, so…
294 00:31:00.880 ⇒ 00:31:12.360 Uttam Kumaran: Yeah, so I kind of just need these ticketed, and then I can start to loop in Ashwini this week on things needed for Eden. So, as long as it’s just, like, Henry, you create tickets.
295 00:31:13.480 ⇒ 00:31:19.580 Uttam Kumaran: I’ll sort of start to brief Ashwini there, and he can start to get looped in, especially because Demolade’s out, so…
296 00:31:21.690 ⇒ 00:31:27.349 Zoran Selinger: Okay, yeah, I have a couple for Awash as well. Okay. Yeah, okay, cool.
297 00:31:30.250 ⇒ 00:31:38.440 Robert Tseng: Okay, and then, Henry, more on the client-facing side, Pharmetica, MixedPanel, tell me about…
298 00:31:38.440 ⇒ 00:31:57.609 Henry Zhao: I just need the API key, so I have all the documentation I need now, I just need the API key, but I need to talk to Michelle for that. I’ve called her, and she is on medical leave, so she hasn’t been able to answer, but there was, like, on her away message, there’s, like, an email to reach out to that hasn’t responded to me yet, so I’m gonna…
299 00:31:57.610 ⇒ 00:32:08.110 Robert Tseng: Yeah, they have their solutions architect, I forgot what his name was, I want to say his name was Dan, but maybe I got that wrong. Yeah, I mean, they gave us two contacts, it can’t be…
300 00:32:08.110 ⇒ 00:32:09.099 Henry Zhao: Talk about Sam?
301 00:32:09.550 ⇒ 00:32:11.200 Robert Tseng: His name’s San? Maybe he’s San.
302 00:32:11.880 ⇒ 00:32:13.790 Henry Zhao: I don’t have his phone number, though, so…
303 00:32:16.390 ⇒ 00:32:24.239 Robert Tseng: Okay, well, I mean, you gotta… you gotta get it. Like, get it from Rebecca, like, you huddle Rebecca, you call Michelle, like, whatever it is, like, you just… you just gotta find it.
304 00:32:24.640 ⇒ 00:32:26.350 Henry Zhao: See if I can find it on LinkedIn also, yeah.
305 00:32:30.060 ⇒ 00:32:30.640 Henry Zhao: Okay.
306 00:32:30.640 ⇒ 00:32:41.039 Robert Tseng: Yeah, Rebecca still feels like he doesn’t know what the plan is. Like, I got a message from her yesterday, and like, I… you know, if that bubbles up to ELT, they’re gonna come back, and they’ll be like.
307 00:32:41.240 ⇒ 00:32:51.409 Robert Tseng: what… what’s going on? Like, I just… I want to get ahead of this. Like, remember, like, I’m not asking you to deliver anything, I just need to give her clarity on roadmap. I don’t think she’s got a roadmap
308 00:32:51.870 ⇒ 00:33:00.740 Robert Tseng: like, yeah, this is the whole planning phase thing that we were talking about yesterday. Like, I think we’re struggling to communicate this planning phase to the stakeholder.
309 00:33:01.190 ⇒ 00:33:10.520 Henry Zhao: Okay, that’s true, I need to make that Gantt chart. Utam, I still haven’t gotten an invite to Instagant, can you make sure that I’m invited so that I can start working in there? I’ll make one at the pharmacy Roadmap and send it out today.
310 00:33:11.010 ⇒ 00:33:18.150 Robert Tseng: Yeah, from her perspective, you did your virtual onsite, that was two and a half weeks ago, whatever, and it’s like, she hasn’t heard anything since. So, like.
311 00:33:18.220 ⇒ 00:33:33.209 Robert Tseng: I mean, to her, it’s like passing API docs, signing contracts, like, none of that is, like, you know, that doesn’t look like progress to her. Like, I understand that we have to do that, and I helped push that along, but, like, you know, I’m just trying to give you, like, why he’s feeling the… why he’s feeling the way she is.
312 00:33:35.200 ⇒ 00:33:35.710 Henry Zhao: Yep.
313 00:33:36.000 ⇒ 00:33:39.920 Robert Tseng: Okay, and then you… you’re talking to Judd and Ryan on Nick’s panel?
314 00:33:41.090 ⇒ 00:33:43.270 Henry Zhao: Yeah, I’m doing the… giving them the training today.
315 00:33:43.440 ⇒ 00:33:44.010 Robert Tseng: Okay.
316 00:33:44.190 ⇒ 00:33:44.900 Robert Tseng: Nope.
317 00:33:45.100 ⇒ 00:33:48.620 Henry Zhao: the funnel setups.
318 00:33:49.510 ⇒ 00:33:51.570 Henry Zhao: But could probably get some help from Casey on that, too.
319 00:33:53.690 ⇒ 00:33:59.660 Robert Tseng: It’s super urgent on Eden. I think it’s really just falls in our court. We’re… we’re driving things forward right now, so…
320 00:33:59.970 ⇒ 00:34:07.349 Robert Tseng: I think the wicked decision, like, I’m nervous about, because I feel like we got budget approval already, they… they already… they’re already ready to move.
321 00:34:08.469 ⇒ 00:34:16.569 Robert Tseng: But, I don’t know why we haven’t… we haven’t really, moved forward with that. I mean, I understand now why we haven’t moved forward with that.
322 00:34:16.739 ⇒ 00:34:21.820 Robert Tseng: So if there’s anything I can do to help out there, Zora, just let me know, because,
323 00:34:22.179 ⇒ 00:34:26.559 Robert Tseng: yeah, I think that’s… that’s obviously something that Zach Cutter cares a lot about.
324 00:34:26.719 ⇒ 00:34:31.500 Robert Tseng: They’re wanting to… to… I mean, yeah, we’ve… we’ve been…
325 00:34:32.199 ⇒ 00:34:35.230 Robert Tseng: This, this is dragged… this is dragged out quite… quite a while already.
326 00:34:36.980 ⇒ 00:34:41.949 Zoran Selinger: Yeah, let’s do that, let’s do that, estimate if it’s…
327 00:34:42.179 ⇒ 00:34:57.429 Zoran Selinger: if we are any… anywhere below 80%, then I would… I would cut it and go… go straight away with… with Wicked. But if we… if we can… if we are not, that bad, then I would probably,
328 00:34:57.690 ⇒ 00:35:01.399 Zoran Selinger: I would move forward with, doing,
329 00:35:01.510 ⇒ 00:35:07.410 Zoran Selinger: the implementation audit a little bit, because I think there are gaps. We can make it better.
330 00:35:07.820 ⇒ 00:35:11.180 Zoran Selinger: And not only then evaluate after that again.
331 00:35:11.560 ⇒ 00:35:15.399 Robert Tseng: Okay, how long do you think it’ll… or when can we get the North Beam eval done?
332 00:35:18.160 ⇒ 00:35:21.910 Robert Tseng: Not just from the model that you were talking about? Like, we’re just waiting for…
333 00:35:21.910 ⇒ 00:35:33.180 Zoran Selinger: Yes, so I wanna… I wanna compare what transactions we see in Norbin for a specific time frame, what we see in our edge tables. And then also we can do… we can do.
334 00:35:33.810 ⇒ 00:35:42.420 Zoran Selinger: we have touchpoints in our edge table, and we have touchpoints in Norbim, and we can cross-reference. So I want to do that by the end of the week.
335 00:35:45.950 ⇒ 00:35:54.150 Robert Tseng: review, I know that you and Henry, between the two of you, have a bunch of things for Wish, but it seems like this is… this is the one that needs, needs the attention.
336 00:35:58.160 ⇒ 00:36:02.080 Zoran Selinger: Yeah, I mean, yeah, I think…
337 00:36:02.980 ⇒ 00:36:09.179 Zoran Selinger: Yeah, we can… I mean, I can do a lot of… a lot of that myself, as well.
338 00:36:09.800 ⇒ 00:36:16.000 Zoran Selinger: So I’m gonna invest some time in it, and I’m gonna, like, talk to Henry Wenzavesh back.
339 00:36:16.580 ⇒ 00:36:17.809 Uttam Kumaran: She’ll be back tomorrow.
340 00:36:18.010 ⇒ 00:36:19.160 Zoran Selinger: Okay, okay.
341 00:36:19.280 ⇒ 00:36:19.940 Zoran Selinger: Cool.
342 00:36:22.790 ⇒ 00:36:23.440 Robert Tseng: Okay.
343 00:36:24.890 ⇒ 00:36:28.870 Robert Tseng: Alright, well, I think that’s pretty much it.
344 00:36:30.250 ⇒ 00:36:31.020 Uttam Kumaran: on.
345 00:36:31.020 ⇒ 00:36:34.399 Robert Tseng: Mike is the last thing that we haven’t covered, I guess, on… on this.
346 00:36:34.590 ⇒ 00:36:35.160 Robert Tseng: quiet.
347 00:36:35.160 ⇒ 00:36:41.140 Uttam Kumaran: Yeah, I just… I was DMing with Casey to… to do a spike review on Friday.
348 00:36:41.590 ⇒ 00:36:47.160 Robert Tseng: So even if, even if folks can’t join that, we’ll conduct it with the, with, like, engineering group, and then…
349 00:36:47.190 ⇒ 00:36:49.520 Uttam Kumaran: That’ll… we’ll send that as a recording.
350 00:36:50.870 ⇒ 00:36:51.679 Robert Tseng: Okay, great.
351 00:36:55.190 ⇒ 00:37:04.430 Uttam Kumaran: So, I think immediately, I’ll start to, Srini, we can meet, and, I can start to loop you in on help needed on, on Eden stuff.
352 00:37:04.600 ⇒ 00:37:10.709 Uttam Kumaran: Sure. We have a few more clients that are starting sooner, but there’s probably some more urgent work there.
353 00:37:10.990 ⇒ 00:37:14.060 Uttam Kumaran: Yeah, we can talk offline about that.
354 00:37:14.670 ⇒ 00:37:15.260 Ashwini Sharma: Sure.
355 00:37:17.450 ⇒ 00:37:22.580 Robert Tseng: Okay, I’ll be available… I mean, I’m gonna… I’m gonna jump on and,
356 00:37:22.700 ⇒ 00:37:25.939 Robert Tseng: for, like, an hour, I’ll just be kind of knocking through the…
357 00:37:26.130 ⇒ 00:37:29.390 Robert Tseng: A couple things that… this versus, like, the,
358 00:37:30.270 ⇒ 00:37:37.579 Robert Tseng: the WBR format, and then, you know, any other outstanding things. Between that and read me, I think those are the two urgent things on my…
359 00:37:37.700 ⇒ 00:37:41.180 Robert Tseng: My point to kind of follow up on and make sure that we’re… we’re good there.
360 00:37:41.340 ⇒ 00:37:45.989 Robert Tseng: And then… I think any other… any other questions you can ask me during that time, too.
361 00:37:49.050 ⇒ 00:37:49.590 Uttam Kumaran: Great.
362 00:37:51.740 ⇒ 00:37:52.310 Robert Tseng: Oh.
363 00:37:52.630 ⇒ 00:37:54.640 Robert Tseng: Alright, thanks, everyone.
364 00:37:55.280 ⇒ 00:37:56.010 Uttam Kumaran: Thank you.
365 00:37:56.330 ⇒ 00:37:57.039 Uttam Kumaran: Back to you soon.
366 00:37:57.040 ⇒ 00:37:57.850 Zoran Selinger: Thank you, bye.
367 00:37:57.850 ⇒ 00:37:58.590 Ashwini Sharma: Thank you.