Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-06-10 Meeting participants: Fireflies.ai Notetaker Awaish, Demilade Agboola, Annie Yu
WEBVTT
1 00:01:18.270 ⇒ 00:01:20.070 Demilade Agboola: Hello, Annie! How are you?
2 00:01:21.360 ⇒ 00:01:22.860 Annie Yu: Hello, de mulade!
3 00:01:23.960 ⇒ 00:01:25.159 Demilade Agboola: How are you doing.
4 00:01:25.300 ⇒ 00:01:27.489 Annie Yu: Not too bad. How are you?
5 00:01:28.270 ⇒ 00:01:34.080 Demilade Agboola: I am doing fine. It’s it’s been a long weekend. It’s just Tuesday, so.
6 00:01:34.633 ⇒ 00:01:38.176 Annie Yu: I know I feel like that’s every week.
7 00:01:41.450 ⇒ 00:01:44.479 Demilade Agboola: At this point. I think so at this point. I think so.
8 00:01:44.930 ⇒ 00:01:53.929 Annie Yu: I think, in my, in my like one of my passwords. It was like really slow. So the week also felt long. But it was just because, like
9 00:01:54.080 ⇒ 00:01:59.860 Annie Yu: things weren’t moving quickly enough. But here it’s the opposite, like things are moving so
10 00:01:59.970 ⇒ 00:02:06.279 Annie Yu: so quickly but and like that makes it feel like a long week.
11 00:02:06.730 ⇒ 00:02:16.950 Demilade Agboola: Definitely, definitely. It’s the consulting lifestyle, also. Nice stuff. But yeah, there’s a week.
12 00:02:16.950 ⇒ 00:02:17.680 Annie Yu: How many.
13 00:02:18.440 ⇒ 00:02:25.410 Demilade Agboola: I am not sure I haven’t seen him this week. I know he was out of office. Was he out of office yesterday? I’m not sure.
14 00:02:25.410 ⇒ 00:02:30.169 Annie Yu: Yeah, I think they had a 4 kind of like a 4 day long weekend.
15 00:02:31.116 ⇒ 00:02:35.649 Demilade Agboola: Let’s see, let me look at data team.
16 00:02:37.060 ⇒ 00:02:41.860 Annie Yu: I think he should be back today. If I’m not wrong.
17 00:02:42.840 ⇒ 00:02:46.500 Demilade Agboola: Yeah, he should be. He said, yeah, he said, the 6th and the 9th
18 00:02:49.019 ⇒ 00:02:55.279 Demilade Agboola: but I don’t know. I haven’t necessarily seen any message from him today. I don’t know if he’s back.
19 00:02:55.710 ⇒ 00:03:01.579 Demilade Agboola: Yeah, I guess can start. And you know, if he hops on, we will just sync with him.
20 00:03:01.970 ⇒ 00:03:02.570 Annie Yu: Okay.
21 00:03:02.920 ⇒ 00:03:06.150 Demilade Agboola: Alright sounds good. Let me share my screen.
22 00:03:16.770 ⇒ 00:03:20.140 Demilade Agboola: Can you share next up to
23 00:03:24.640 ⇒ 00:03:26.149 Demilade Agboola: alright? So can you see my screen.
24 00:03:26.150 ⇒ 00:03:26.480 Annie Yu: Yeah.
25 00:03:27.230 ⇒ 00:03:37.589 Demilade Agboola: Alright. So so we can start from like things we have in progress. And
26 00:03:40.330 ⇒ 00:03:42.740 Demilade Agboola: I think this, I think we can close this.
27 00:03:42.740 ⇒ 00:03:43.730 Annie Yu: Yeah, yeah.
28 00:03:43.730 ⇒ 00:03:44.570 Demilade Agboola: Yeah, because.
29 00:03:44.570 ⇒ 00:03:45.120 Annie Yu: Should.
30 00:03:48.780 ⇒ 00:03:51.730 Demilade Agboola: So this bike is done.
31 00:03:53.068 ⇒ 00:03:57.710 Demilade Agboola: This is still just Basque being Basque.
32 00:04:00.120 ⇒ 00:04:02.350 Demilade Agboola: Have we made any progress on this.
33 00:04:02.870 ⇒ 00:04:19.470 Annie Yu: Yeah, I I wouldn’t say, Yeah, that that’s okay. I think. I will update this on my ticket as well. But I I know that we already have a product category field which is like it might not be up to date. But I I can still use that field to build something, at least for now.
34 00:04:20.180 ⇒ 00:04:27.850 Demilade Agboola: Okay, yeah. That’s why I asked what metrics we had, because I I realized that that field existed. So we might as well start using what we had.
35 00:04:29.780 ⇒ 00:04:32.560 Demilade Agboola: This sequence model. Oh, my bad.
36 00:04:33.380 ⇒ 00:04:38.933 Demilade Agboola: this sequence model is the switch model that we what we talked about right.
37 00:04:40.330 ⇒ 00:04:44.970 Annie Yu: But you’re welcome to add, or like any
38 00:04:45.440 ⇒ 00:04:49.520 Annie Yu: or like, adjust any granularities based on your understanding of.
39 00:04:50.470 ⇒ 00:04:56.229 Demilade Agboola: Okay. But no, it was, is this the model where we we said that we wanted to have
40 00:04:58.690 ⇒ 00:05:04.990 Demilade Agboola: what’s it called? We wanted to have like, first, st small 1st product, second product, that sort of thing. Okay.
41 00:05:05.680 ⇒ 00:05:09.919 Demilade Agboola: alright. So this model is there?
42 00:05:12.080 ⇒ 00:05:17.159 Demilade Agboola: Okay, for this, you send feedback on that, so I will
43 00:05:17.350 ⇒ 00:05:20.780 Demilade Agboola: switch it from just daytime. So just the hours themselves.
44 00:05:21.110 ⇒ 00:05:23.830 Demilade Agboola: So when you say hours, do you want it to be like
45 00:05:23.950 ⇒ 00:05:31.579 Demilade Agboola: 1030, or do you want it to be like an hour column and a minute column.
46 00:05:33.391 ⇒ 00:05:40.630 Annie Yu: I think ours fine and there are other feels that you did
47 00:05:40.840 ⇒ 00:05:46.180 Annie Yu: kind of the pre calculation as well in that model. So whatever aligns with that be fine.
48 00:05:46.180 ⇒ 00:05:47.875 Demilade Agboola: Alright! Alright! Sounds good.
49 00:05:51.460 ⇒ 00:05:53.590 Demilade Agboola: Is there anything we’re missing, though.
50 00:05:54.770 ⇒ 00:05:58.620 Annie Yu: Is it me? Or I don’t see myself in in here?
51 00:05:58.870 ⇒ 00:06:02.439 Demilade Agboola: Oh, goodness! Let me filter by year.
52 00:06:06.130 ⇒ 00:06:11.870 Demilade Agboola: Alright! So you have 2 main issues, the Cohort Heatsmap for Ltv.
53 00:06:11.870 ⇒ 00:06:19.630 Annie Yu: This was sent and updated to Mattesh. I don’t think he’s responded.
54 00:06:20.790 ⇒ 00:06:23.679 Demilade Agboola: Yeah. So the pending feedback, let me test.
55 00:06:24.310 ⇒ 00:06:25.150 Annie Yu: Yeah.
56 00:06:25.745 ⇒ 00:06:32.990 Annie Yu: and then the product real dash. I think today we’ll have some time to build out the category level view.
57 00:06:34.770 ⇒ 00:06:47.300 Annie Yu: yeah. And then, just while we are on this, I’m pretty sure if the team wants to update that product category, that’s something that we’ll have to go through them to manually do probably.
58 00:06:48.320 ⇒ 00:06:49.220 Demilade Agboola: What you mean like.
59 00:06:49.220 ⇒ 00:06:52.050 Annie Yu: Just so, you know, I I know that you have that ticket
60 00:06:52.380 ⇒ 00:06:55.349 Annie Yu: to update the product category mapping to.
61 00:06:55.350 ⇒ 00:06:56.050 Demilade Agboola: You know.
62 00:06:56.370 ⇒ 00:07:02.569 Annie Yu: Just like, yeah, that thing might require their input.
63 00:07:03.560 ⇒ 00:07:06.740 Demilade Agboola: Gotcha, they don’t have a
64 00:07:08.760 ⇒ 00:07:18.409 Demilade Agboola: okay. So what? When they they? How will they impute it like, what’s the part? What’s the process? Will they do it on the will, they do it, and they send it to us? Do we have, like a clear.
65 00:07:18.410 ⇒ 00:07:28.629 Annie Yu: No, I I don’t know. I I think you you can lead that. I I don’t know how the process will look like, and I don’t think they have a standardized way
66 00:07:31.400 ⇒ 00:07:35.609 Annie Yu: like at the moment, so I guess either you can define it, or
67 00:07:35.990 ⇒ 00:07:39.580 Annie Yu: or they might still have to do the mapping.
68 00:07:40.210 ⇒ 00:07:42.039 Demilade Agboola: Okay, alright. Sounds good.
69 00:07:42.748 ⇒ 00:07:47.480 Demilade Agboola: Also, random. Have you been able to use tableau today? Tableau cloud? That is.
70 00:07:47.480 ⇒ 00:07:49.860 Annie Yu: Yeah, I’ve tried it. I I can use it.
71 00:07:50.190 ⇒ 00:07:50.890 Demilade Agboola: Oh, okay.
72 00:07:50.890 ⇒ 00:07:55.380 Annie Yu: Edit anything, but I can log in and see the dashboard.
73 00:07:59.180 ⇒ 00:08:03.741 Demilade Agboola: Okay. Cause I I tried earlier today because I wanted to look at one of the dashboards
74 00:08:04.910 ⇒ 00:08:13.710 Demilade Agboola: and it just wasn’t working. And then tigran also mentioned that. So I checked online and apparently tableau was having some downtime.
75 00:08:14.020 ⇒ 00:08:17.439 Demilade Agboola: But I believe that’s been that might have been fixed now. So we’ll see.
76 00:08:17.710 ⇒ 00:08:19.290 Annie Yu: Okay. Nice.
77 00:08:20.080 ⇒ 00:08:24.289 Demilade Agboola: Okay. But do we have any clarity on like what you need to tackle today?
78 00:08:25.072 ⇒ 00:08:33.269 Annie Yu: Yes, and I do have one more question. That was for a wish, but you probably would know. I do have a ticket. I think it’s still in
79 00:08:33.450 ⇒ 00:08:38.720 Annie Yu: to do this cycle. It’s the bill type form questionnaire report.
80 00:08:40.570 ⇒ 00:08:43.689 Demilade Agboola: Do the cycle. There are only 2 things to do. The cycle.
81 00:08:44.530 ⇒ 00:08:45.500 Annie Yu: Wait, really.
82 00:08:46.030 ⇒ 00:08:46.790 Demilade Agboola: Yeah.
83 00:08:48.240 ⇒ 00:08:53.560 Annie Yu: I’m seeing much more than your view. For some reason.
84 00:08:54.180 ⇒ 00:08:56.490 Demilade Agboola: Oh, interesting!
85 00:08:57.440 ⇒ 00:09:00.360 Demilade Agboola: I’m guessing. Oh, because these are maybe my issues.
86 00:09:01.940 ⇒ 00:09:03.639 Annie Yu: Oh, yeah, you’re in.
87 00:09:03.830 ⇒ 00:09:06.339 Demilade Agboola: Yeah, I mean my personal view. Gotcha.
88 00:09:11.170 ⇒ 00:09:11.770 Demilade Agboola: Oh.
89 00:09:11.770 ⇒ 00:09:12.650 Annie Yu: Okay.
90 00:09:12.650 ⇒ 00:09:14.010 Demilade Agboola: To do the cycle. Yes. Okay.
91 00:09:14.010 ⇒ 00:09:17.609 Annie Yu: Yeah, there is a type form 3, 52.
92 00:09:18.060 ⇒ 00:09:18.930 Annie Yu: So.
93 00:09:19.110 ⇒ 00:09:33.740 Annie Yu: yeah, this one is pretty straightforward. But we I don’t necessarily know which model to use. I did find something down there like type form, response, clean. But is that I don’t think that’s in like Prod Mars, and I’m not sure if I should
94 00:09:33.990 ⇒ 00:09:35.969 Annie Yu: just be using that or.
95 00:09:37.180 ⇒ 00:09:41.949 Demilade Agboola: You know, is a telephone model. Give me one second.
96 00:09:41.950 ⇒ 00:09:42.800 Annie Yu: Oh, okay.
97 00:09:46.980 ⇒ 00:09:48.520 Demilade Agboola: And I know.
98 00:09:49.140 ⇒ 00:09:50.890 Annie Yu: So there is one already.
99 00:09:52.180 ⇒ 00:09:58.269 Demilade Agboola: Yes, I believe there is a type, one model.
100 00:10:01.830 ⇒ 00:10:09.950 Annie Yu: Sir, is a fact. Form responses.
101 00:10:11.170 ⇒ 00:10:13.380 Demilade Agboola: Yeah, I think it’s fax form response. Yeah.
102 00:10:17.430 ⇒ 00:10:22.780 Annie Yu: Okay. Okay, yeah. I’m looking at the github. I think I found that.
103 00:10:23.310 ⇒ 00:10:25.079 Demilade Agboola: Yes. Fax form responses.
104 00:10:25.080 ⇒ 00:10:27.390 Annie Yu: Okay, awesome. Then I’ll just use that.
105 00:10:27.530 ⇒ 00:10:33.790 Annie Yu: And this looks like it’s pretty straightforward. So I should be done today.
106 00:10:34.660 ⇒ 00:10:35.770 Demilade Agboola: Okay.
107 00:10:39.920 ⇒ 00:10:50.229 Annie Yu: Yeah, I would. Probably. Can you drag that broad profit bar chart to in progress.
108 00:10:50.970 ⇒ 00:10:54.839 Annie Yu: or it’s probably more so like pending client feedback.
109 00:10:55.080 ⇒ 00:10:57.097 Annie Yu: Yeah, this one.
110 00:10:58.300 ⇒ 00:11:10.130 Annie Yu: I shared it with Robert yesterday, and he would run it by Jonah cause we want to confirm that our formula for profitability is the same as what he
111 00:11:10.420 ⇒ 00:11:12.400 Annie Yu: expect expects.
112 00:11:13.110 ⇒ 00:11:13.800 Demilade Agboola: Okay.
113 00:11:18.480 ⇒ 00:11:23.630 Annie Yu: I do have one more thing to follow up with you.
114 00:11:24.690 ⇒ 00:11:32.219 Annie Yu: I guess. 2 more but they are in the slack channel, probably not in any ticket here.
115 00:11:33.273 ⇒ 00:11:36.439 Annie Yu: Ones that know pharmacy values.
116 00:11:37.820 ⇒ 00:11:41.480 Demilade Agboola: Yeah. So I I did a quick dig into it. It’s
117 00:11:42.000 ⇒ 00:11:47.440 Demilade Agboola: it’s the noise are coming from the bask order data.
118 00:11:47.750 ⇒ 00:11:48.135 Annie Yu: Hmm.
119 00:11:48.520 ⇒ 00:11:49.110 Demilade Agboola: Thank you.
120 00:11:49.330 ⇒ 00:11:58.860 Demilade Agboola: Also the the lack. So usually, it’s from new product variance that we haven’t yet gotten
121 00:11:59.580 ⇒ 00:12:02.530 Demilade Agboola: any data from bask about.
122 00:12:02.680 ⇒ 00:12:03.780 Demilade Agboola: So
123 00:12:04.457 ⇒ 00:12:09.819 Demilade Agboola: you know how we’re asking log. We keep saying one. The latest data from Zach Bask every week.
124 00:12:10.483 ⇒ 00:12:16.490 Demilade Agboola: Part of it is because, like it can contain the pharmacy data that is also missing with this.
125 00:12:18.560 ⇒ 00:12:22.730 Demilade Agboola: So right now, when orders happen, and it’s a null
126 00:12:23.380 ⇒ 00:12:34.220 Demilade Agboola: in the pharmacy data on the like bask end. We therefore don’t have any pharmacies to tie that to. So we should definitely think of like how we want to close the loop.
127 00:12:35.405 ⇒ 00:12:38.850 Demilade Agboola: Potentially we might need
128 00:12:39.260 ⇒ 00:12:49.109 Demilade Agboola: Zach Bask to be able to like, impute that into the system. Because I there should be no reason why orders are coming in null to be honest.
129 00:12:49.490 ⇒ 00:12:50.240 Annie Yu: No.
130 00:12:52.040 ⇒ 00:12:56.829 Demilade Agboola: So that’s the like. There’s no reason why pharmacy should be no coming in with the orders. So.
131 00:12:57.980 ⇒ 00:13:05.160 Annie Yu: So what would you suggest? Because Sarah P. She DM me about this, and I
132 00:13:05.970 ⇒ 00:13:10.590 Annie Yu: I think I do have the context now. But I don’t know the best way to kind of answer.
133 00:13:10.590 ⇒ 00:13:14.819 Demilade Agboola: So we’re basically what’s happening is we’re reporting what we get.
134 00:13:15.970 ⇒ 00:13:16.460 Annie Yu: Yeah.
135 00:13:16.460 ⇒ 00:13:23.289 Demilade Agboola: Obviously, we’re getting no data. So right now, we’re going to try and get better sources. So yeah.
136 00:13:23.500 ⇒ 00:13:35.279 Demilade Agboola: you know, have not null data. So we can use it and have better data. But it’s not a function of us like we’re not doing anything wrong. We just best quality data. And we need to like up that quality.
137 00:13:35.610 ⇒ 00:13:37.050 Annie Yu: Okay on the other.
138 00:13:38.000 ⇒ 00:13:46.869 Annie Yu: Okay, that helps thanks so much. And one other thing is the daily refund, the dupe.
139 00:13:47.980 ⇒ 00:13:48.580 Demilade Agboola: Yeah.
140 00:13:48.580 ⇒ 00:13:50.239 Annie Yu: Eddy and Rebecca.
141 00:13:50.860 ⇒ 00:14:01.290 Demilade Agboola: Yeah. So for me today, like handling this as well as the the fix for
142 00:14:01.860 ⇒ 00:14:03.900 Demilade Agboola: for the what’s it called again.
143 00:14:07.310 ⇒ 00:14:11.889 Demilade Agboola: So handling that, plus the fix, for it’s not this
144 00:14:12.450 ⇒ 00:14:16.970 Demilade Agboola: the one I said I would. I would look and then give feedback on.
145 00:14:20.290 ⇒ 00:14:21.449 Demilade Agboola: I’m not sure.
146 00:14:21.840 ⇒ 00:14:33.059 Demilade Agboola: but I know that there’s another model that you need me to like work on those 2 models, I should be able to push them. Oh, yeah, the time the order time thing. Yeah, I’ll push them out today.
147 00:14:34.750 ⇒ 00:14:41.149 Demilade Agboola: So at least there isn’t a ticket for that, though. Is there like the refund? Is there.
148 00:14:41.150 ⇒ 00:14:50.299 Annie Yu: I don’t think so. I yeah, we should probably like, I told Robert this yesterday. I said, like there’s no ticket. So it’s like it’s gonna be easily forgotten. But.
149 00:14:54.060 ⇒ 00:14:55.600 Demilade Agboola: Sure.
150 00:14:57.140 ⇒ 00:15:16.310 Demilade Agboola: And okay, issue refund model the Duke assigned to me in progress.
151 00:15:41.940 ⇒ 00:15:48.620 Demilade Agboola: Alright. So I have created that now. So at least we have something to to keep track of.
152 00:15:50.130 ⇒ 00:15:56.589 Demilade Agboola: Yeah. So I think we do have some clarity, Trevor. Any other things to say.
153 00:15:58.030 ⇒ 00:15:58.380 Annie Yu: Yeah.
154 00:15:58.860 ⇒ 00:15:59.950 Demilade Agboola: Who are working on.
155 00:16:00.756 ⇒ 00:16:06.820 Annie Yu: Not the ticket, related one. But I do. Wanna ask if I can flash up my screen?
156 00:16:07.360 ⇒ 00:16:09.769 Annie Yu: This is regarding like the Pdf.
157 00:16:10.530 ⇒ 00:16:17.829 Annie Yu: For like tableau. I know you mentioned this before. But so look at this
158 00:16:18.340 ⇒ 00:16:27.380 Annie Yu: like report, because we have much more than what it shows. So what’s the best like setting in tableau to make sure we don’t
159 00:16:27.680 ⇒ 00:16:29.010 Annie Yu: get cut off.
160 00:16:29.890 ⇒ 00:16:40.879 Demilade Agboola: So usually, I do something about fit, like expansive fit or something. So basically, every single time the data, you know, you get more data than you expect.
161 00:16:41.010 ⇒ 00:16:41.450 Annie Yu: -
162 00:16:41.450 ⇒ 00:16:45.899 Demilade Agboola: Would expand, or you could do to height or fits to height or something.
163 00:16:46.415 ⇒ 00:16:55.059 Demilade Agboola: So that way, once the data comes in and it’s larger than it’s expected it would automatically ensure that the height is fits in properly.
164 00:16:55.860 ⇒ 00:16:56.900 Annie Yu: Okay. But.
165 00:16:56.900 ⇒ 00:17:01.750 Demilade Agboola: So once that happens, once that happens on the dashboard end, the Pdf. Will be fine.
166 00:17:03.500 ⇒ 00:17:11.210 Annie Yu: Okay, so. But then, if I do fit, let’s say fit height. Would they like? Get all.
167 00:17:12.940 ⇒ 00:17:17.569 Demilade Agboola: I don’t, can you? Can you? Can you go to tableau right now and just try. Let’s see if.
168 00:17:18.720 ⇒ 00:17:23.169 Annie Yu: So, yeah, is this refund? I.
169 00:17:23.689 ⇒ 00:17:25.149 Demilade Agboola: Yes, refund.
170 00:17:25.150 ⇒ 00:17:25.800 Annie Yu: Really.
171 00:17:25.800 ⇒ 00:17:26.990 Demilade Agboola: Refund, model.
172 00:17:27.609 ⇒ 00:17:28.429 Annie Yu: Is it here?
173 00:17:28.430 ⇒ 00:17:29.840 Demilade Agboola: Order. Refund. Summary.
174 00:17:31.080 ⇒ 00:17:35.560 Annie Yu: Okay, yeah, I was having trouble finding it. Oh, then.
175 00:17:51.250 ⇒ 00:17:54.110 Annie Yu: so okay.
176 00:17:58.760 ⇒ 00:18:00.420 Annie Yu: it’s slow.
177 00:18:10.600 ⇒ 00:18:13.389 Annie Yu: We use fit hide. Okay?
178 00:18:15.200 ⇒ 00:18:22.170 Annie Yu: So this can ensure that things won’t get cut off in Pdf.
179 00:18:23.040 ⇒ 00:18:23.730 Demilade Agboola: Yeah.
180 00:18:23.910 ⇒ 00:18:30.220 Demilade Agboola: So once you finish the height, the the more data comes in, it will just automatically make it longer.
181 00:18:31.550 ⇒ 00:18:37.320 Annie Yu: Okay, that. But then on the dashboard side, that, too, or.
182 00:18:38.260 ⇒ 00:18:40.070 Demilade Agboola: I mean, this is the dashboard right?
183 00:18:40.070 ⇒ 00:18:41.450 Annie Yu: Yeah, it is.
184 00:18:41.450 ⇒ 00:18:42.240 Demilade Agboola: Yeah.
185 00:18:43.050 ⇒ 00:18:46.939 Annie Yu: Okay, okay, I’ll just. I’ll just publish this.
186 00:18:48.230 ⇒ 00:18:50.849 Annie Yu: Okay, thank you so much.
187 00:18:51.780 ⇒ 00:18:52.590 Demilade Agboola: You’re welcome.
188 00:18:58.210 ⇒ 00:19:00.420 Demilade Agboola: Alright, then talk to you later.
189 00:19:00.780 ⇒ 00:19:02.590 Annie Yu: Yeah, I guess we can end early.
190 00:19:03.000 ⇒ 00:19:03.880 Demilade Agboola: Alright, fair.
191 00:19:03.880 ⇒ 00:19:04.275 Annie Yu: Bye.
192 00:19:04.820 ⇒ 00:19:05.590 Demilade Agboola: Bye.