Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-03-18 Meeting participants: Robert Tseng, Demilade Agboola
WEBVTT
1 00:00:51.870 ⇒ 00:00:52.720 Demilade Agboola: Power, but
2 00:00:56.000 ⇒ 00:00:57.020 Robert Tseng: Hey, devil, lauder.
3 00:00:59.180 ⇒ 00:01:00.160 Demilade Agboola: How are you?
4 00:01:00.770 ⇒ 00:01:03.930 Robert Tseng: I’m good. How are you sleep? Better
5 00:01:05.123 ⇒ 00:01:07.949 Demilade Agboola: Not really actually go worse. But I’m fine
6 00:01:08.830 ⇒ 00:01:09.730 Robert Tseng: Oh, man!
7 00:01:10.090 ⇒ 00:01:13.800 Demilade Agboola: Yeah, I got about 2 and a half hours of sleep or something. So
8 00:01:16.080 ⇒ 00:01:19.859 Robert Tseng: Yeah. I mean, that doesn’t sound very good.
9 00:01:20.872 ⇒ 00:01:26.089 Demilade Agboola: Yeah, that’s fine. I’ll I’ll I’ll still figure it out. I’ll figure it out
10 00:01:26.890 ⇒ 00:01:27.550 Robert Tseng: Okay.
11 00:01:28.170 ⇒ 00:01:28.770 Demilade Agboola: Yeah.
12 00:01:31.190 ⇒ 00:01:33.140 Robert Tseng: Yeah, let me.
13 00:01:33.810 ⇒ 00:01:46.350 Robert Tseng: Yeah. Sorry I I’m just. I’m giving Steven a bit of a time to try to figure out how to run these standups. But yeah, I don’t think it was very clear what people were doing coming out of it. So
14 00:01:46.739 ⇒ 00:01:59.700 Robert Tseng: I know this is redundant to do 2 stand ups in a day. I don’t think this is the way it will be going in the future, so just just give it a little time to see if he can catch up, otherwise I’ll probably just have Akash. Do it
15 00:02:00.550 ⇒ 00:02:01.290 Demilade Agboola: Okay.
16 00:02:03.522 ⇒ 00:02:06.690 Robert Tseng: Okay, so you’re seeing this? Yeah. So
17 00:02:08.039 ⇒ 00:02:18.560 Robert Tseng: I guess, let’s yeah, that. So we have a blocker here. The membership plan, which is kind of pushing that model. So I think we’re okay here. Temporarily, we’re waiting on the bask stuff. So we’re there.
18 00:02:19.347 ⇒ 00:02:24.499 Robert Tseng: And then the tableau stuff. I think we’re okay. Much, much better. Place there.
19 00:02:26.628 ⇒ 00:02:40.079 Robert Tseng: maybe we’ll jump to a couple of things that we didn’t talk through yesterday. So as far as marketing data marks go, I guess. Why don’t you let me tell me like, where you think we’re at with this like what needs to be
20 00:02:40.590 ⇒ 00:02:45.364 Robert Tseng: like? What are we doing on? On, like, what was on the data modeling roadmap? I don’t know.
21 00:02:46.370 ⇒ 00:02:51.310 Robert Tseng: for existing mart and also for new sources.
22 00:02:51.787 ⇒ 00:02:57.060 Robert Tseng: Yeah, like kind of what? What do you you know? What? What do you think is on the roadmap
23 00:02:59.156 ⇒ 00:03:06.859 Demilade Agboola: So for that, I still kind of might need to get a bit of context to some of it. But I do know we have some models that already exist.
24 00:03:07.406 ⇒ 00:03:11.549 Demilade Agboola: We have stuff about the ads. The ad sets the campaigns
25 00:03:12.092 ⇒ 00:03:21.810 Demilade Agboola: the different platforms, and like the ad performances. But I know a lot of it is quite dependent on like North being
26 00:03:23.437 ⇒ 00:03:29.410 Demilade Agboola: and so that also has been problematic. Just generally speaking, so
27 00:03:29.790 ⇒ 00:03:34.053 Robert Tseng: The north theme stuff. Yeah, there’s there’s been another problem.
28 00:03:34.480 ⇒ 00:03:35.010 Demilade Agboola: That’s a plan.
29 00:03:35.010 ⇒ 00:03:37.770 Robert Tseng: Network theme integration. So let me just
30 00:03:50.740 ⇒ 00:03:52.629 Robert Tseng: let me just tag you in a thread.
31 00:04:06.070 ⇒ 00:04:11.200 Robert Tseng: Yeah, so basically looks like north beam spend data broke.
32 00:04:11.510 ⇒ 00:04:15.439 Robert Tseng: So maybe we’ll just kind of jump into North theme and take a look.
33 00:04:22.040 ⇒ 00:04:25.009 Robert Tseng: see if we can figure anything out just looking at it.
34 00:04:37.930 ⇒ 00:04:44.409 Robert Tseng: So what I’m told is that marketing spend by channel dipped.
35 00:04:45.020 ⇒ 00:04:46.890 Robert Tseng: No, looks like it’s fine.
36 00:04:53.870 ⇒ 00:04:54.820 Robert Tseng: That’s it.
37 00:05:18.980 ⇒ 00:05:23.569 Robert Tseng: I’m just gonna share my full screen. So you can see what I’m doing. I’m basically like going into the
38 00:05:23.970 ⇒ 00:05:32.689 Robert Tseng: the slack. And like, this is what we got tagged in. So they were saying, Hey, why did Google and add data, just kind of just tank
39 00:05:33.715 ⇒ 00:05:36.020 Robert Tseng: but it’s like
40 00:05:36.370 ⇒ 00:05:38.170 Demilade Agboola: You’re tanked on the 15th
41 00:05:39.090 ⇒ 00:05:42.299 Robert Tseng: But it looks like it’s out. So I don’t really understand what the issue is.
42 00:05:44.610 ⇒ 00:05:52.370 Demilade Agboola: I don’t know. Could have anything of like data hadn’t refreshed as it should have like the pipelines might not have worked as they should have on the back end
43 00:05:52.920 ⇒ 00:05:53.880 Robert Tseng: Yeah, let’s
44 00:05:54.110 ⇒ 00:05:54.960 Demilade Agboola: Yeah.
45 00:06:07.550 ⇒ 00:06:11.259 Robert Tseng: I know that you had sent me some information about
46 00:06:14.440 ⇒ 00:06:17.180 Robert Tseng: Good stuff. I kind of want to forward this to them.
47 00:06:17.560 ⇒ 00:06:18.690 Robert Tseng: So
48 00:06:24.810 ⇒ 00:06:26.420 Robert Tseng: yeah, I’ll just
49 00:06:49.470 ⇒ 00:06:57.020 Demilade Agboola: So the but in a way, some of the ads. So the part of why I put the screenshot some of the ads. I’m not sure how we’ll categorize them. So things like Tiktoks
50 00:06:57.900 ⇒ 00:06:58.560 Robert Tseng: Yeah.
51 00:06:58.560 ⇒ 00:07:05.739 Robert Tseng: I’ve seen any Tiktok data or anything like that before. Like, as far as I know, we spent nothing on Tiktok, so I’m not really sure why, that’s coming in
52 00:07:06.040 ⇒ 00:07:07.110 Demilade Agboola: But
53 00:07:07.270 ⇒ 00:07:29.519 Robert Tseng: I don’t know. I didn’t look into this. I didn’t run the query or anything, I guess maybe next time, if you take a screenshot just paste the query in there, so I could check it as well. But I want to know, like, what is, what’s the actual spend on it? Because, like, I would just check it against north theme. And you know, if it’s if it’s coming through, these rows are coming through. But the spend is 0. Then it’s it’s fine. We just exclude these.
54 00:07:30.052 ⇒ 00:07:33.180 Robert Tseng: But yeah, I know, they only really spend on Google.
55 00:07:33.300 ⇒ 00:07:40.489 Robert Tseng: Facebook, Youtube. So and Bing, which Bing doesn’t show up here, but but yeah.
56 00:07:41.410 ⇒ 00:07:44.060 Demilade Agboola: And so, yeah, actually.
57 00:07:44.920 ⇒ 00:07:50.389 Robert Tseng: Yeah, just check and make sure. Like, there’s actually, if there, yeah, if there’s if it actually seems off
58 00:07:51.510 ⇒ 00:07:54.059 Demilade Agboola: Yeah. So I I think
59 00:07:56.970 ⇒ 00:08:02.500 Demilade Agboola: the spends will not usually, for these ones will not be high in the sense that, like prior to
60 00:08:03.550 ⇒ 00:08:07.085 Demilade Agboola: like fixing the things they aren’t categorized.
61 00:08:08.120 ⇒ 00:08:17.790 Demilade Agboola: Others didn’t seem to have like they didn’t seem to have like really high ad spend. And the logic. Well, like what was happening behind the scenes was we were spreading.
62 00:08:18.150 ⇒ 00:08:23.540 Demilade Agboola: gathering all uncategorized things and spreading the ad spend across the uncategorized
63 00:08:24.730 ⇒ 00:08:30.699 Demilade Agboola: orders right? But now that we don’t have it on categorized, this is kind of just going to be on its own
64 00:08:31.293 ⇒ 00:08:42.540 Demilade Agboola: which is why, like my, my next focus is or like. What I’m just trying to look at is trying to like, optimize as much as possible so that we catch as many ads as possible.
65 00:08:43.179 ⇒ 00:09:00.800 Demilade Agboola: So that there isn’t really anything that we can say is on categorized in terms of ads anymore. But they’re not too many. But it’s just like a ton of them. So I just want to be able to put in like the different keywords for the different drugs, and be sure that we’re like catching it. That’s basically it from from the
66 00:09:00.800 ⇒ 00:09:01.560 Robert Tseng: Yeah.
67 00:09:01.900 ⇒ 00:09:08.669 Robert Tseng: that makes sense to me. For like Tiktok, for example, though like how much? What’s what’s the ad spend on Tiktok? What is, what is it showing
68 00:09:09.130 ⇒ 00:09:13.900 Robert Tseng: like? I would expect it based on what I’m seeing here to be 0. So even if it’s just like
69 00:09:14.150 ⇒ 00:09:20.149 Robert Tseng: bunch of these rows. If they’re all like 0, then we can just exclude them or like, I don’t really think we need to spread it anywhere.
70 00:09:21.330 ⇒ 00:09:22.623 Demilade Agboola: I agree?
71 00:09:25.510 ⇒ 00:09:33.359 Demilade Agboola: I was just yeah. Yesterday. My focus was just trying to get the the orders data clean. And so we could be done with some of the issues we’re having.
72 00:09:33.819 ⇒ 00:09:42.779 Demilade Agboola: I was kind of going to look at the ads a bit more, but I do realize that might be a bit niche that might not be the most impressing thing which is kind of why I messaged you
73 00:09:44.010 ⇒ 00:10:11.519 Robert Tseng: Yeah, I mean, this is a good catch, just to make sure that like. But yeah, if it, if it’s I in order for me to quantify. If it’s, you know, if this is like 20% of our ad spend, then, like big issue, I would go. But if if even if all this is coming in, and it’s like less than 5% of our ad spend, I probably wouldn’t touch it. But if it’s like, I mean, I I’m assuming I would expect this based on what I’m seeing in North theme that most of this Tiktok data it’s not actually
74 00:10:11.740 ⇒ 00:10:17.589 Robert Tseng: like, it’s probably 0. So I don’t know. I haven’t looked at your query or anything, but that’s that would be my hypothesis.
75 00:10:18.350 ⇒ 00:10:21.150 Demilade Agboola: Okay, I will look at that and get back to you.
76 00:10:21.660 ⇒ 00:10:28.409 Robert Tseng: Okay, yeah. So maybe we’ll just kind of check that I know. We have like a ticket in here about like the north beam spike
77 00:10:28.840 ⇒ 00:10:29.690 Robert Tseng: oops.
78 00:10:31.560 ⇒ 00:10:34.320 Robert Tseng: Yeah. So have you seen this before?
79 00:10:34.620 ⇒ 00:10:39.339 Robert Tseng: I guess maybe this is something to for you to kind of pick back up.
80 00:10:45.120 ⇒ 00:10:47.939 Robert Tseng: yeah, we were trying to. We were investigating
81 00:10:48.900 ⇒ 00:11:00.570 Robert Tseng: the North being bigquery connector. Right now, we’re bringing it in through segment, which I think is okay. There’s like a slight. There’s a delay in the in the data that comes in. I think it’s probably like a
82 00:11:01.240 ⇒ 00:11:04.198 Robert Tseng: I pointed it out before.
83 00:11:07.530 ⇒ 00:11:11.200 Robert Tseng: yeah, I I think when I looked into this before. There was probably like a
84 00:11:11.450 ⇒ 00:11:14.183 Robert Tseng: 2 to 3 day delay.
85 00:11:14.920 ⇒ 00:11:22.310 Robert Tseng: in the north beam data showing up correctly in our in our like product sales summary by transaction tables.
86 00:11:22.872 ⇒ 00:11:29.039 Robert Tseng: And I think that’s probably due to the connector that we’re currently we currently have set up. And
87 00:11:29.451 ⇒ 00:11:34.119 Robert Tseng: so I had a waste of your time looked into building up this new connector.
88 00:11:34.470 ⇒ 00:11:39.869 Robert Tseng: It’s not broken. So maybe this isn’t the highest priority thing. But I think I’m gonna bring this back
89 00:11:40.190 ⇒ 00:11:47.260 Robert Tseng: to marketing data, mart.
90 00:11:47.740 ⇒ 00:11:53.390 Robert Tseng: Let’s assign a new due date. We’ll kind of revisit this next week.
91 00:12:00.910 ⇒ 00:12:01.820 Robert Tseng: yeah.
92 00:12:03.250 ⇒ 00:12:08.440 Robert Tseng: Okay, so that’s that other things that we need to kind of like, dig into.
93 00:12:10.190 ⇒ 00:12:15.810 Robert Tseng: Yeah. So on the intake stuff. I don’t. I don’t think we’re blocked here right? This is
94 00:12:19.830 ⇒ 00:12:20.720 Robert Tseng: I guess
95 00:12:24.800 ⇒ 00:12:27.628 Robert Tseng: you’ve already completed the investigation. And
96 00:12:29.520 ⇒ 00:12:39.859 Robert Tseng: yeah, I mean, between the type form or continuing to use fast, we just need to figure out like which way to go. Keep moving forward. I think that’s fine. I can run with your investigation. So no, I I think
97 00:12:40.360 ⇒ 00:12:43.679 Robert Tseng: yeah, we’ll we’ll stick with the marketing stuff.
98 00:12:44.765 ⇒ 00:12:49.420 Robert Tseng: milestones for marketing data mark other things we would need.
99 00:12:50.260 ⇒ 00:12:57.653 Robert Tseng: I, I guess, to me like if I were to just try to write out some of the milestones for this project.
100 00:13:01.020 ⇒ 00:13:02.429 Robert Tseng: make sure.
101 00:13:03.920 ⇒ 00:13:12.540 Robert Tseng: Marketing team has all the data sources or marketing ideas for this.
102 00:13:13.450 ⇒ 00:13:15.129 Robert Tseng: All in, they create.
103 00:13:17.030 ⇒ 00:13:20.900 Robert Tseng: Right? So there’s like a few things here.
104 00:13:21.270 ⇒ 00:13:30.850 Robert Tseng: I don’t think we brought it in. Did we parallel parallel medium.
105 00:13:33.380 ⇒ 00:13:46.649 Robert Tseng: So engineering, add this to marketing data, mart, this one also marketing date of March.
106 00:13:51.780 ⇒ 00:13:57.240 Robert Tseng: So yeah, grin and parallel 2 data sources that we’ve been asked to bring in.
107 00:13:59.970 ⇒ 00:14:03.229 Robert Tseng: That’s part of what needs to be going into the data. Mart
108 00:14:05.380 ⇒ 00:14:10.560 Robert Tseng: also, like the end of March organized.
109 00:14:12.550 ⇒ 00:14:14.581 Robert Tseng: Well, is that really a milestone?
110 00:14:16.450 ⇒ 00:14:21.005 Robert Tseng: I don’t think that’s a real milestone. So making sure all the data sources are there.
111 00:14:22.810 ⇒ 00:14:29.550 Robert Tseng: we’re data models for all marketing data sources.
112 00:14:37.990 ⇒ 00:14:42.099 Robert Tseng: scheduled refreshes and data quality checks.
113 00:14:50.790 ⇒ 00:14:51.650 Robert Tseng: Yeah.
114 00:14:53.500 ⇒ 00:14:55.289 Demilade Agboola: Have recent Sam’s new message
115 00:14:56.920 ⇒ 00:14:58.430 Robert Tseng: I have not
116 00:14:59.080 ⇒ 00:15:05.179 Demilade Agboola: Just said there was a break in the connection which is now fixed. But spend is not 100% accurate in nothing
117 00:15:25.400 ⇒ 00:15:28.520 Demilade Agboola: doesn’t sound like not being a great source of truth.
118 00:15:28.620 ⇒ 00:15:29.960 Demilade Agboola: Generally speaking.
119 00:15:31.540 ⇒ 00:15:37.190 Robert Tseng: Yeah. Well, so north theme is, basically, I don’t even think they need north theme like north theme is like.
120 00:15:40.350 ⇒ 00:15:44.559 Robert Tseng: they connect all of their ad sources into north Beam, and they view all the stuff.
121 00:15:44.710 ⇒ 00:15:48.710 Robert Tseng: all the reports in North Beam, I mean, it would take us
122 00:15:49.050 ⇒ 00:16:08.879 Robert Tseng: some time to build up all these reports. But like this is, you know, this is stuff that we should. We should really just, you know, if we have direct connectors with all, with all these different ad platforms, we would be able to just show it ourselves in in in tableau or whatever. But I,
123 00:16:09.210 ⇒ 00:16:16.750 Robert Tseng: you know this. This was kind of set up before I was there, because, like, you know, this is just a this is just an ad spend aggregation platform. There’s nothing like
124 00:16:17.270 ⇒ 00:16:22.699 Robert Tseng: they. They have certain functionalities like media mix modeling and other more
125 00:16:23.190 ⇒ 00:16:29.099 Robert Tseng: data sciencey functions that the team doesn’t even use like. But all of this stuff is.
126 00:16:29.460 ⇒ 00:16:41.602 Robert Tseng: It’s all easy. We could all, Cal, we could calculate this ourselves in tableau. I’m just like not taking it on, because I don’t necessarily want our team to maintain these connectors yet.
127 00:16:42.480 ⇒ 00:16:48.029 Robert Tseng: but yeah, I guess you could tell you could see they they update the data every.
128 00:16:48.270 ⇒ 00:16:55.159 Robert Tseng: I guess 6 h is kind of what it looks like, and you can see all the different ad spend platforms that are that are on here
129 00:16:56.007 ⇒ 00:17:00.829 Demilade Agboola: But this is essentially what we would be doing if we had direct connectors with all these platforms.
130 00:17:03.510 ⇒ 00:17:08.439 Demilade Agboola: That makes sense. That makes sense because it just seemed unreliable. I was wondering why it was so unreliable
131 00:17:09.280 ⇒ 00:17:09.900 Robert Tseng: Yeah.
132 00:17:26.470 ⇒ 00:17:33.239 Robert Tseng: I mean, I’m gonna ask him what caused the break. But he how would he know he’s he’s just the Facebook guy, whatever. Okay.
133 00:17:35.080 ⇒ 00:17:36.819 Robert Tseng: whatever. I’ll just
134 00:17:38.710 ⇒ 00:17:42.009 Demilade Agboola: Well, how do how do they? How do they tell?
135 00:17:42.170 ⇒ 00:17:46.369 Demilade Agboola: Also they’re going directly to Facebook to see the numbers and compare
136 00:17:46.490 ⇒ 00:17:47.980 Robert Tseng: Yeah, that’s all he’s doing.
137 00:17:48.330 ⇒ 00:17:48.870 Demilade Agboola: And
138 00:17:51.270 ⇒ 00:18:01.460 Demilade Agboola: but that so who uses north beam, though? Cause if identity, they’re still going back to the like individual sources, then it it kind of feels
139 00:18:02.080 ⇒ 00:18:05.360 Demilade Agboola: off, cause this isn’t
140 00:18:05.360 ⇒ 00:18:06.050 Robert Tseng: Yeah.
141 00:18:06.050 ⇒ 00:18:11.740 Demilade Agboola: Without, like our numbers might seem funny because of, you know. They looked at the numbers in north game.
142 00:18:12.360 ⇒ 00:18:18.179 Demilade Agboola: Oh, no, not numbers, nothing but numbers in Meta, for instance. I know they have that that message has come up before
143 00:18:19.740 ⇒ 00:18:30.349 Robert Tseng: Right? Yeah, I mean, I think we’ll see that that’s also the thing he may say. Meadow was 94 K. And northeast 99 KI mean, this is just delay. This is just like.
144 00:18:53.410 ⇒ 00:18:57.058 Robert Tseng: anyway, I don’t. I don’t really want to answer this question.
145 00:18:58.200 ⇒ 00:19:01.630 Robert Tseng: yeah, you’re asking. Well, yeah. So
146 00:19:01.630 ⇒ 00:19:02.220 Demilade Agboola: If you tell me
147 00:19:02.220 ⇒ 00:19:03.970 Robert Tseng: Any ad spend. Yeah, go ahead
148 00:19:04.100 ⇒ 00:19:10.840 Demilade Agboola: It’s just like if we use North Pim and we do all these dashboards, they would still have issues. And that could just be like
149 00:19:11.140 ⇒ 00:19:14.500 Demilade Agboola: I don’t know. It will feel frustrating because it’s like
150 00:19:14.810 ⇒ 00:19:18.189 Demilade Agboola: we’ve done all of this. And it’s still just a thing of like
151 00:19:18.610 ⇒ 00:19:23.140 Demilade Agboola: this. We still have the same issues. They still have trust issues. It’s the same. Meta is up
152 00:19:23.640 ⇒ 00:19:27.830 Demilade Agboola: higher than you know. Our dashboards and all that stuff
153 00:19:29.760 ⇒ 00:19:38.269 Robert Tseng: I say, well, you’re saying, even if we moved all of this into like tableau, and we and we took on like Northeas Place, we would still have the same issues.
154 00:19:38.960 ⇒ 00:19:44.890 Demilade Agboola: I mean, if we’re propagating from north, being directly to our like infrastructure.
155 00:19:45.130 ⇒ 00:19:54.949 Robert Tseng: Correct. Yeah, everything that North beam shows is we’re we’re we’re stuck to whatever North Beam has. And North Beam is is mostly this wrong most of the time, because they’re always off by a bit
156 00:19:55.440 ⇒ 00:20:08.080 Demilade Agboola: Exactly and then it will be one of those things when they come and point out that there’s a deep in marketing, spend by channel. And, like all Google ads is down. Why is it down? Or we? We don’t know, because it’s north data.
157 00:20:08.590 ⇒ 00:20:13.870 Demilade Agboola: That’s my, that’s my, you know, potential like red flag on. This is just that
158 00:20:14.000 ⇒ 00:20:24.409 Demilade Agboola: we’ll be stuck to whatever North Dame does, and even we’ll be. It would even be sort of worse, because we have a larger delay than North Dame, because we’re relying on segments
159 00:20:26.990 ⇒ 00:20:27.410 Robert Tseng: Yeah.
160 00:20:28.210 ⇒ 00:20:29.060 Demilade Agboola: So
161 00:20:29.350 ⇒ 00:20:36.089 Demilade Agboola: just something to like. Think about, I guess not. Necessarily. We could still go ahead, but at least we know, and we communicate and say, Hey.
162 00:20:36.850 ⇒ 00:20:48.779 Demilade Agboola: anything? Any issues you bring up have to be issues older than 3 days, for instance, or 2 days. Then we will look into it, because if it’s you’re expecting like yesterday’s data, let’s give you time, for instance.
163 00:20:49.470 ⇒ 00:20:50.060 Robert Tseng: Yeah.
164 00:20:58.690 ⇒ 00:21:05.049 Robert Tseng: so like, there’s a project I want to tee up here. I don’t know if this falls on the marketing data mark. But it’s basically like.
165 00:21:06.940 ⇒ 00:21:25.399 Robert Tseng: yeah, like we should, we should propose to the marketing team like, Hey, you know, all these random questions about like north beam accuracy. We could just move away from North Beam. We could. We could just build the build this like directly. So, but that’s gonna take a certain amount of resources and everything to do that.
166 00:21:27.560 ⇒ 00:21:31.379 Robert Tseng: Yeah, I’m not sure if this is the right way to write it. But I’m just gonna say.
167 00:21:32.346 ⇒ 00:21:39.040 Robert Tseng: set up correct connector connections with ad platforms.
168 00:21:44.000 ⇒ 00:21:46.040 Robert Tseng: To replace north beam
169 00:21:49.880 ⇒ 00:22:04.820 Robert Tseng: right now, we’re 2 points of vulnerability. Currently, or theme Wyatt.
170 00:22:06.340 ⇒ 00:22:21.710 Robert Tseng: Our theme accurate to reliance one segment connectors to the
171 00:22:29.460 ⇒ 00:22:31.520 Robert Tseng: we could circumvent.
172 00:22:45.560 ⇒ 00:22:53.659 Robert Tseng: Yeah, I just. I don’t know how to communicate the value of this to them yet, like, I want to bring this up, but I’m not really sure if this is worth
173 00:22:56.480 ⇒ 00:23:01.540 Robert Tseng: really making like a big deal about it for now, so I might even just kick it down as like a
174 00:23:03.350 ⇒ 00:23:06.119 Robert Tseng: possible like April kind of project.
175 00:23:07.105 ⇒ 00:23:07.900 Demilade Agboola: Parallel.
176 00:23:08.625 ⇒ 00:23:14.760 Demilade Agboola: I think we have other things we need to take care of. I know there’s the farm Ops. I know we have issues with like.
177 00:23:15.573 ⇒ 00:23:19.790 Demilade Agboola: just even like Zendesk and tickets and stuff. So I’m not sure
178 00:23:19.790 ⇒ 00:23:30.958 Robert Tseng: Yeah, so there’s some stuff that you could. I mean, I’m just. I’m trying to get you kind of like lined up on what you can focus on today and just like heads up for the week.
179 00:23:31.980 ⇒ 00:23:37.520 Robert Tseng: yeah, I think maybe the Zendesk thing to help Sahana wrap that up quickly will be
180 00:23:37.660 ⇒ 00:23:43.568 Robert Tseng: would be important. I I also Shippo, like, I think shipbo data is important.
181 00:23:45.720 ⇒ 00:23:48.735 Robert Tseng: I don’t know where we’re at with chabot data.
182 00:23:49.490 ⇒ 00:23:57.829 Demilade Agboola: Believe, Utam said, that I can’t give me one second. I know Utam has responded to the tickets, but it’s basically in Utam’s court right now.
183 00:23:58.380 ⇒ 00:23:59.520 Demilade Agboola: Okay.
184 00:24:02.670 ⇒ 00:24:08.269 Demilade Agboola: and what time are you gonna take out
185 00:24:27.170 ⇒ 00:24:41.820 Robert Tseng: Yeah, maybe if you could get the email to slack being set up today like that, could that could be helpful? So maybe the Zendesk any Zendesk stuff that Sahana needs to try to get her off of that project, and so she can help with marketing stuff.
186 00:24:42.200 ⇒ 00:24:45.319 Robert Tseng: making sure that the that. Yeah, that would be important
187 00:24:45.814 ⇒ 00:24:51.059 Robert Tseng: getting the the slack integration set up would be would be good for today.
188 00:24:52.690 ⇒ 00:24:55.659 Robert Tseng: Yeah. So I would say, we could do that.
189 00:24:56.070 ⇒ 00:25:08.760 Robert Tseng: Yeah, if. And yeah, if you could just give me an update on the ship. Oh, thing as well, so I can know where to where to put it in. But yeah, let’s let’s just let’s just say that those are the important things to to get done. Today, I’m gonna keep trying to
190 00:25:09.280 ⇒ 00:25:17.489 Robert Tseng: kind of figure out what else is gonna be high priority for the rest of the
191 00:25:18.280 ⇒ 00:25:19.050 Demilade Agboola: Alright! So it’s
192 00:25:19.050 ⇒ 00:25:20.870 Robert Tseng: Assuming that we’re gone. Yeah.
193 00:25:21.180 ⇒ 00:25:27.400 Demilade Agboola: The Zendux, and then tableau emailing sounds good
194 00:25:27.910 ⇒ 00:25:32.200 Robert Tseng: Yeah, 8,
195 00:25:32.990 ⇒ 00:25:36.529 Demilade Agboola: Talked about it so you can
196 00:25:38.860 ⇒ 00:25:40.340 Robert Tseng: Okay. I’ll reject
197 00:25:40.640 ⇒ 00:25:41.709 Demilade Agboola: Alright. That sounds good.
198 00:25:41.710 ⇒ 00:25:43.930 Robert Tseng: Thanks. Yep, alright. Talk to you later
199 00:25:44.170 ⇒ 00:25:45.150 Demilade Agboola: Alright, bye.