Meeting Title: Zoom Meeting Date: 2025-06-16 Meeting participants: Robert Tseng, Annie Yu, Demilade Agboola
WEBVTT
1 00:02:35.890 ⇒ 00:02:37.020 Demilade Agboola: Arabic.
2 00:02:38.360 ⇒ 00:02:39.899 Robert Tseng: Hey, dame? A lot.
3 00:02:42.610 ⇒ 00:02:47.070 Demilade Agboola: So let me just quickly go through like what’s what’s going on.
4 00:02:47.974 ⇒ 00:02:51.370 Demilade Agboola: So Carter made his request last week, Friday.
5 00:02:52.574 ⇒ 00:03:00.009 Demilade Agboola: and we needed the new count of products users. So not 1st time customers, but like 1st time products, users
6 00:03:00.380 ⇒ 00:03:10.310 Demilade Agboola: and then that the model that was currently powering. That was the product sales summary.
7 00:03:10.620 ⇒ 00:03:14.090 Demilade Agboola: And so to to add that to that model
8 00:03:14.703 ⇒ 00:03:20.049 Demilade Agboola: based on the urgent of the request that was that was done.
9 00:03:20.561 ⇒ 00:03:32.350 Demilade Agboola: The problem is, I was queuing on live data like I was queuing on the pro data, and I noticed something was weird. I even hopped on a huddle with Annie last week Friday, and I was like something just looks weird about these numbers.
10 00:03:34.070 ⇒ 00:03:38.309 Demilade Agboola: To which I am trying to like. Figure that out.
11 00:03:38.770 ⇒ 00:03:42.769 Demilade Agboola: And then Sunday comes and Josh
12 00:03:43.400 ⇒ 00:03:51.569 Demilade Agboola: points out like some of the numbers are weird now. The numbers I figured were weird. So what happened was the not like the join had done.
13 00:03:52.180 ⇒ 00:04:06.380 Demilade Agboola: plus the key fan out, so that final inflated numbers on the products, new product dashboard. But the initial dashboard of the for just dashboard, which is, it’s a different source. And that was still accurate
14 00:04:07.470 ⇒ 00:04:09.300 Demilade Agboola: at that point.
15 00:04:10.110 ⇒ 00:04:13.230 Demilade Agboola: I reverted after, Josh said. I reverted the changes.
16 00:04:13.620 ⇒ 00:04:17.250 Demilade Agboola: However, I have now created a new model.
17 00:04:17.620 ⇒ 00:04:24.600 Demilade Agboola: and then your model joins to this product sales summary much better and
18 00:04:25.190 ⇒ 00:04:35.700 Demilade Agboola: potentially like. Normally, the normal process for Qa. Is, I would build out the models. And I tell I need to take a look and takes a look, tells me the effect is, gonna have on the dashboard.
19 00:04:35.890 ⇒ 00:04:37.390 Demilade Agboola: and then
20 00:04:38.720 ⇒ 00:04:43.970 Demilade Agboola: We then proceed to merge, and then figure out how to integrate it with our current infrastructure.
21 00:04:44.700 ⇒ 00:04:49.519 Demilade Agboola: Obviously quarter was like very insistent on it being done because of day
22 00:04:50.240 ⇒ 00:04:59.029 Demilade Agboola: and I think in terms of like dashboards potentially going forward, I would suggest that we dashboards cannot be updated that day.
23 00:04:59.250 ⇒ 00:05:08.734 Demilade Agboola: We can send you raw data that day. But like, I don’t think we should update dashboards that day, I think we need to like still keep our Qa. Process intact.
24 00:05:09.310 ⇒ 00:05:18.390 Demilade Agboola: and that way we don’t have to like Rush to update the dashboard and have to like troubleshoot on the live dashboard when issues occur which I don’t think is a
25 00:05:19.190 ⇒ 00:05:23.639 Demilade Agboola: is. Obviously it’s definitely not best practice. But yeah, like.
26 00:05:25.710 ⇒ 00:05:31.800 Demilade Agboola: Ultimately, it’s happened. And that’s what happened with the numbers. Numbers are fine now.
27 00:05:32.317 ⇒ 00:05:37.680 Demilade Agboola: The dashboard will be fine. I had a call with Annie right before this, and we’re able to
28 00:05:37.800 ⇒ 00:05:52.930 Demilade Agboola: talk about how we want to create a new dashboard with the numbers that Code wants to see, because the numbers he wants to see are just. It’s not just new custom accounts. It’s everything cause you’re going to have to look at new customer account, new customer revenue, new like 1st time products, revenue
29 00:05:53.190 ⇒ 00:05:57.809 Demilade Agboola: that influences any of the that, in fact, influences and Ross so.
30 00:05:57.810 ⇒ 00:06:00.049 Robert Tseng: Yeah, just hit every metric that I look.
31 00:06:00.050 ⇒ 00:06:05.169 Demilade Agboola: Exactly. It’s every single metric. So that’s basically a new dashboard with new quote, unquote sources.
32 00:06:05.380 ⇒ 00:06:05.770 Robert Tseng: Yeah.
33 00:06:05.770 ⇒ 00:06:09.700 Demilade Agboola: So that’s not just the I don’t think that’s a 1 day fix. And I think
34 00:06:09.980 ⇒ 00:06:33.759 Demilade Agboola: that like trying to rush into that one day I just like again. That’s why I didn’t publish the dashboard. That’s why I didn’t. So I gave the wrong numbers. But I didn’t give him the dashboard on Friday, because I was looking at the numbers were wrong, like numbers were off, and I didn’t think it made sense to publish a wrong dashboard. Unfortunately, I didn’t see the fan out. That’s what that’s what Josh ended up seeing.
35 00:06:34.040 ⇒ 00:06:38.489 Demilade Agboola: But yeah, that’s basically the the rundown of everything that happened over the weekend.
36 00:06:38.840 ⇒ 00:06:50.222 Robert Tseng: Okay, yeah, no. I mean, I I’m not trying to. Obviously, I’m not trying to blame you guys. I know that you were trying to both work on it. On Friday. It was a request that came in on a Friday, which we don’t like pushing things on Fridays, but
37 00:06:50.750 ⇒ 00:06:56.449 Robert Tseng: I guess people are just last minute with kind of how they prepare for things. So
38 00:06:58.300 ⇒ 00:07:10.660 Robert Tseng: I mean, I’m not talking about. I’m talking about like them like they. There’s like a like a weekly leadership Kpis thing. I think I’ve told you guys about it. That’s why we we change the stand up time on Monday. So we go in there. And obviously, like
39 00:07:10.930 ⇒ 00:07:17.459 Robert Tseng: Cutter is just misreporting on like 5 metrics. Right? Cause they’re all they’re all like, depend. There’s so many dependencies. And
40 00:07:17.890 ⇒ 00:07:33.109 Robert Tseng: So everybody’s just like freaking out and just getting yelled at on this call. So that’s the consequence. When we push, we push something like that which I understand that it’s not like that hard of a problem to solve. I know with more time and with our Qa process, we would have caught it.
41 00:07:33.580 ⇒ 00:07:38.199 Robert Tseng: But yeah, I mean, Josh is gonna come on. He’s gonna wanna like, sit there and be like.
42 00:07:38.850 ⇒ 00:07:42.830 Robert Tseng: you know, give a slap on the wrist and kind of whatever he’s gonna
43 00:07:43.010 ⇒ 00:07:51.669 Robert Tseng: I don’t know what he’s gonna say. He’s I think he’s gonna be a bit unhinged in 20 min. So just be prepared for that. I think it’s good that we just have an ex explanation.
44 00:07:52.660 ⇒ 00:08:04.309 Robert Tseng: I mean, as far as like why things were fanned out. I mean, you think it’s just like a wrong join that you did. I mean, we updated like, I mean, if I were to just summarize kind of from my perspective, and how I’m trying to communicate it to him.
45 00:08:05.760 ⇒ 00:08:30.309 Robert Tseng: I mean, you let me know if this is the right way to put it. But like, I know that. Yeah, because I’m not gonna go into all the technical details that you just mentioned. I’m just trying to tell them what happened. Right? So yeah. You know, Cutter wanted to update some definitions for his dashboards that would change what we recognize as a new customer. And and like a new product and a and a purchase in a new product category, or for a new product?
46 00:08:31.122 ⇒ 00:08:32.210 Robert Tseng: So we updated that.
47 00:08:32.429 ⇒ 00:08:35.763 Robert Tseng: That’s that’s separate. Right? That’s that whole like
48 00:08:37.390 ⇒ 00:08:50.339 Robert Tseng: new again, the growth kpis dashboard, and the new product dashboard. That he looks like. This is not related to the new customer in a new like
49 00:08:51.907 ⇒ 00:08:55.170 Robert Tseng: what do we call it? The the.
50 00:08:55.170 ⇒ 00:08:56.210 Demilade Agboola: Customer, account.
51 00:08:57.490 ⇒ 00:09:02.419 Robert Tseng: Yeah, but using like the model where we had, like the new.
52 00:09:02.420 ⇒ 00:09:03.500 Demilade Agboola: That’s your summary.
53 00:09:04.414 ⇒ 00:09:09.415 Robert Tseng: Not product sales summary like 1, st 1st product, second product, purchase
54 00:09:09.870 ⇒ 00:09:10.970 Demilade Agboola: Consequence.
55 00:09:10.970 ⇒ 00:09:16.989 Robert Tseng: Yeah, th, this is not related to the product sequence change right?
56 00:09:17.560 ⇒ 00:09:21.780 Demilade Agboola: No, it’s not. It was a model. Yeah, it was not really as proxy question.
57 00:09:21.780 ⇒ 00:09:31.799 Robert Tseng: Yeah. So we had already fixed the product sequence change. We we share that with cutter that was like on that came on Thursday, right? And then this is like something. This is this is separate after that, where?
58 00:09:31.800 ⇒ 00:09:34.370 Robert Tseng: Yeah, just trying to add new products.
59 00:09:35.020 ⇒ 00:09:38.539 Robert Tseng: and just like change, which products were shown in Cutter’s report.
60 00:09:39.870 ⇒ 00:09:43.840 Demilade Agboola: Exactly. So Carter wanted to like basically redefine his report.
61 00:09:44.550 ⇒ 00:09:50.770 Robert Tseng: Yeah, I think he just wanted to exclude some stuff like Hrt. Minoxidil, whatever. And he
62 00:09:51.230 ⇒ 00:09:55.799 Robert Tseng: or yeah, or I don’t know. I think he gave you a full like list of products to exclude.
63 00:09:56.360 ⇒ 00:09:58.280 Demilade Agboola: And then.
64 00:09:58.690 ⇒ 00:09:59.340 Robert Tseng: Yeah.
65 00:10:01.810 ⇒ 00:10:11.469 Demilade Agboola: It’s not necessarily the exclusion. It’s the definition. That was the issue. So it’s like redefining these metrics. That was the issue on a Friday.
66 00:10:11.600 ⇒ 00:10:17.759 Demilade Agboola: So we’re redefining the entire dashboard. So the much the the dimensions, like the dimensionless.
67 00:10:17.760 ⇒ 00:10:31.480 Robert Tseng: Maybe I missed the Pr because I was looking at Prs 82 through 86. Those are the ones I was looking at before we got that got on this call. But yeah, I didn’t really see defining the redefining the metrics. Is there a Pr that you could just like.
68 00:10:32.190 ⇒ 00:10:32.830 Robert Tseng: There we go.
69 00:10:33.490 ⇒ 00:10:34.760 Robert Tseng: Am I missing one.
70 00:10:35.220 ⇒ 00:10:42.270 Demilade Agboola: The pr that as this was.
71 00:10:42.270 ⇒ 00:10:45.330 Robert Tseng: So 1, 24, or 1, 20, or something.
72 00:10:46.080 ⇒ 00:10:49.599 Demilade Agboola: Yes, it was 1, 23, 1 23, and 1 24.
73 00:10:58.640 ⇒ 00:11:00.619 Robert Tseng: let me just take a look at that real quick.
74 00:11:08.510 ⇒ 00:11:10.590 Robert Tseng: oh, hmm!
75 00:11:19.960 ⇒ 00:11:29.153 Robert Tseng: Oh, dude! Okay, this is just okay. Alright. Sure, I, I need to go update. I think I was looking at the wrong. Pr, so I didn’t really update
76 00:11:30.920 ⇒ 00:11:33.909 Robert Tseng: you need to pull locally. Okay, so.
77 00:11:34.170 ⇒ 00:11:39.130 Robert Tseng: oh, okay, wow. Well, I didn’t come into this very prepared. I was looking at the wrong stuff.
78 00:11:44.980 ⇒ 00:12:00.866 Robert Tseng: okay. Well, anyway, I think, yeah, sure, okay, I’m I’m clear on that. I I think it’s it’s on me to kind of just go and get get the right Prs kind of. I’ve got to refresh the stock, you know. I think you guys shouldn’t look at it. It’s just like it’s using the wrong Prs here.
79 00:12:01.300 ⇒ 00:12:10.380 Robert Tseng: but yeah, okay, I think I understand. I don’t need to kind of hold you guys too long here. So I think I just take a few minutes to put together the the Doc?
80 00:12:10.780 ⇒ 00:12:14.080 Robert Tseng: yeah. Anything else that we need to mention here that we didn’t say.
81 00:12:17.543 ⇒ 00:12:24.307 Demilade Agboola: Not in nothing right now.
82 00:12:25.410 ⇒ 00:12:30.250 Demilade Agboola: yes, to find out that cause like the increase in ad spend and stuff. But yeah.
83 00:12:31.100 ⇒ 00:12:39.280 Robert Tseng: Okay, and the fan out, like, the reason is just because we I don’t know we just didn’t. Qa the join or like, why did it find out.
84 00:12:39.280 ⇒ 00:12:52.100 Demilade Agboola: Yeah, yeah, literally. By time we were doing the queuing and like even just talking about it, it was like one am. My time it was it was quite late, and we’re just trying to get something out there.
85 00:12:52.570 ⇒ 00:12:53.220 Robert Tseng: Okay.
86 00:12:53.620 ⇒ 00:12:55.009 Demilade Agboola: Yeah, like, I said.
87 00:12:55.140 ⇒ 00:13:03.439 Demilade Agboola: well, I I think raw numbers. We we won’t do dashboard like I don’t think it’s fair to do dashboard changes that day like, especially when it’s like a redefinition.
88 00:13:03.660 ⇒ 00:13:21.428 Demilade Agboola: But if it’s a function of you need raw numbers. We can get you raw numbers. But like the actual dashboards. Because everything is like interlinked. So one change here literally can have an effect on another dashboard, or, like, you know, things start to find out and spread. So I don’t think that’s that’s
89 00:13:21.950 ⇒ 00:13:27.209 Demilade Agboola: That’s how we should. I don’t think that’s how we should be building our infrastructure handling requests for that.
90 00:13:28.030 ⇒ 00:13:32.939 Robert Tseng: Okay, yeah. Any anything else to add.
91 00:13:34.817 ⇒ 00:13:46.910 Annie Yu: No, I agree with what whatever the model they said, and I think right now, my question is just then, should I prioritize this over other things. To get that number.
92 00:13:46.910 ⇒ 00:13:49.999 Robert Tseng: Yeah, we need, we need to fix it. Yeah.
93 00:13:50.660 ⇒ 00:13:51.220 Annie Yu: Okay.
94 00:13:52.760 ⇒ 00:14:02.919 Robert Tseng: Okay, yeah. So alright, that sounds good. I mean, we’ll we’ll meet back quickly in in a few minutes. But I’m gonna put together this finish. Finish my notes here, and then
95 00:14:03.331 ⇒ 00:14:12.270 Robert Tseng: I might send it to you, I guess, since you understand it the most like, I’ll just have you review it one time. But yeah, then we’ll let’s let’s get this. Let’s get this fixed asap.
96 00:14:13.500 ⇒ 00:14:14.680 Demilade Agboola: Okay. Sounds good.
97 00:14:14.930 ⇒ 00:14:16.410 Robert Tseng: Okay, thanks guys.
98 00:14:16.850 ⇒ 00:14:17.520 Annie Yu: Thanks.