Meeting Title: [Eden] Daily Standup Date: 2025-05-06 Meeting participants: Annie Yu, Demilade Agboola, Robert Tseng, Awaish Kumar
WEBVTT
1 00:04:36.210 ⇒ 00:04:37.590 Annie Yu: Hello, Robert!
2 00:04:39.490 ⇒ 00:04:40.339 Robert Tseng: Hey, Eddie.
3 00:04:56.740 ⇒ 00:05:00.529 Robert Tseng: give me a couple of minutes. I’m gonna wait for people to trickle in and.
4 00:05:04.620 ⇒ 00:05:05.320 Annie Yu: Yeah.
5 00:07:50.720 ⇒ 00:07:54.861 Robert Tseng: Okay, I don’t know if everyone join. But let’s just get started.
6 00:08:03.010 ⇒ 00:08:04.510 Robert Tseng: okay?
7 00:08:07.000 ⇒ 00:08:08.450 Robert Tseng: So.
8 00:08:12.280 ⇒ 00:08:17.626 Annie Yu: Yeah, since it’s just you on the call. Right now I need. We’ll just go straight to stuff that’s relevant to you.
9 00:08:17.870 ⇒ 00:08:20.179 Annie Yu: And in a wish.
10 00:08:20.970 ⇒ 00:08:22.809 Robert Tseng: Oh, they just joined. Okay, what’s okay?
11 00:08:23.770 ⇒ 00:08:24.990 Robert Tseng: We can start with you.
12 00:08:25.140 ⇒ 00:08:25.550 Annie Yu: Okay.
13 00:08:27.540 ⇒ 00:08:38.779 Robert Tseng: yeah, I know that there was not really anything in progress like a lot of the stuff I just moved into. So you probably haven’t seen some of these changes. Would it be helpful for me to just go through what I have here? Or do you want to start.
14 00:08:39.289 ⇒ 00:08:40.789 Annie Yu: Yes, for sure.
15 00:08:40.909 ⇒ 00:08:50.639 Robert Tseng: Okay, alright, let’s start with this. So I think this one we carried over from yesterday. I just updated the due date here. I know that you put up this mock up table here.
16 00:08:51.072 ⇒ 00:08:57.419 Robert Tseng: So now what they? I guess I’m assuming that you need. You need, Dave a lot of support here, right.
17 00:08:58.398 ⇒ 00:09:06.360 Annie Yu: We did sync up yesterday. I think I’ll let him take it if you have any updates.
18 00:09:07.750 ⇒ 00:09:14.630 Demilade Agboola: And yeah, so we synced up yesterday. And we basically tried to figure out.
19 00:09:15.147 ⇒ 00:09:19.429 Demilade Agboola: what the definitions of these things mean. And how we would want to do it.
20 00:09:19.939 ⇒ 00:09:37.040 Demilade Agboola: There are still some data questions that we have, but like I haven’t properly structured it from it to them. So I can’t necessarily communicate them yet. But I have started working on a script for it, and I will. The plan is to be done with it today. So we can have, like a version, one out.
21 00:09:37.640 ⇒ 00:09:43.679 Demilade Agboola: And if there are any, and I’ll also like, let any know what the assumptions I made in the version one are
22 00:09:45.450 ⇒ 00:09:51.900 Demilade Agboola: because we’re doing things like the valve size and all that. So like calculating valve size. I can’t use a regex for that
23 00:09:52.251 ⇒ 00:10:02.579 Demilade Agboola: but things like that just trying to like. Let her know the assumptions and the the cases where you might not have worked, because there’s some that don’t necessarily have a vow size in the name. It’s just a regular name.
24 00:10:03.810 ⇒ 00:10:08.510 Demilade Agboola: So yeah, I would just basically to that city and let her know.
25 00:10:11.280 ⇒ 00:10:13.829 Robert Tseng: Okay. So I’m gonna say, it’s blocked by this.
26 00:10:16.090 ⇒ 00:10:20.129 Robert Tseng: So I don’t know like, it’s the file. Do I just lump it into this.
27 00:10:20.670 ⇒ 00:10:23.810 Demilade Agboola: Oh, no, no! I think these are like 2 separate things. This is about.
28 00:10:23.810 ⇒ 00:10:24.170 Robert Tseng: Okay.
29 00:10:24.170 ⇒ 00:10:26.060 Demilade Agboola: Distribution of like
30 00:10:28.110 ⇒ 00:10:32.430 Demilade Agboola: of this we don’t like the dollar amounts. But this is just basically like an aggregation of
31 00:10:32.530 ⇒ 00:10:35.960 Demilade Agboola: all the orders I’m calculating how many
32 00:10:37.550 ⇒ 00:10:39.110 Robert Tseng: Is there a particular left.
33 00:10:40.620 ⇒ 00:10:42.760 Demilade Agboola: I mean, this is the ticket. Right? Yeah.
34 00:10:45.660 ⇒ 00:10:51.499 Robert Tseng: Yeah, or I guess it’s like, this is Annie’s dashboard ticket.
35 00:10:51.640 ⇒ 00:10:55.529 Robert Tseng: And there’s now a modeling exercise that needs to happen. Right? So.
36 00:10:56.069 ⇒ 00:10:56.609 Demilade Agboola: Yeah.
37 00:10:57.040 ⇒ 00:10:57.880 Robert Tseng: Okay?
38 00:10:58.530 ⇒ 00:11:10.140 Robert Tseng: So I’m just gonna call it vile quantity by pharmacy data model.
39 00:11:20.490 ⇒ 00:11:21.360 Robert Tseng: Okay?
40 00:11:39.950 ⇒ 00:11:42.950 Robert Tseng: Alright. So that that covers that
41 00:11:44.030 ⇒ 00:11:49.100 Robert Tseng: And then yeah, marketing dashboard. So
42 00:11:49.910 ⇒ 00:12:01.930 Robert Tseng: I don’t know what this is. This is the most urgent thing I think, that needs to get out, which is, if we go back into tableau. We’ll just. We’ll just go take a peek together, because we haven’t seen this in a while.
43 00:12:03.360 ⇒ 00:12:05.160 Annie Yu: Is that assigned to me.
44 00:12:06.161 ⇒ 00:12:11.939 Robert Tseng: It. It has not been, but it will be. So you’re gonna call. I’m assuming it’s this one.
45 00:12:15.450 ⇒ 00:12:18.670 Robert Tseng: right? So this is what it was before.
46 00:12:21.270 ⇒ 00:12:22.900 Robert Tseng: Yeah, generally.
47 00:12:23.050 ⇒ 00:12:31.160 Robert Tseng: I think that Ltv and Calc made sense the marketing efficiency ratio was wrong because it doesn’t have the full budget in there
48 00:12:31.740 ⇒ 00:12:37.269 Robert Tseng: revenue growth growth rate. I think this could be cleaned up so if you could just try to.
49 00:12:37.560 ⇒ 00:12:45.309 Robert Tseng: I mean, there’s something weird that’s going on here. Like. I don’t know why. Revenue growth rate 700 that then, and then it drops.
50 00:12:45.830 ⇒ 00:12:47.160 Robert Tseng: Seems kind of strange.
51 00:12:47.520 ⇒ 00:12:52.330 Robert Tseng: The Ltv number I think this is
52 00:12:53.240 ⇒ 00:12:58.569 Robert Tseng: the average Ltv by product. I think if I just was picked.
53 00:13:01.400 ⇒ 00:13:06.780 Robert Tseng: I mean, it’s like, I don’t know how helpful that is. Seems like that just doesn’t change.
54 00:13:12.690 ⇒ 00:13:16.118 Robert Tseng: yeah, like, I don’t really think this is helpful.
55 00:13:19.850 ⇒ 00:13:27.740 Robert Tseng: so it was like, yeah, this is kind of where Sahana had left things off. I don’t know how consistent it was with
56 00:13:28.770 ⇒ 00:13:32.803 Robert Tseng: requirements here. I believe that it kind of had everything here.
57 00:13:35.270 ⇒ 00:13:47.929 Robert Tseng: I made some notes here for channel I gave some feedback on like the dash. I don’t think she changed the design. I also left some feedback here. So yeah, if you could pick this up?
58 00:13:49.380 ⇒ 00:13:50.550 Robert Tseng: And
59 00:13:50.920 ⇒ 00:14:05.995 Robert Tseng: yeah, just trying to understand, like, where we left off in terms of like, why didn’t we have all the adjusted requirements? And then I think the big, the the main thing is just that like, Mer was wrong because we didn’t have mer before.
60 00:14:06.940 ⇒ 00:14:13.219 Robert Tseng: yeah, like, whatever this model is built on top of like this needs to be swapped to the model. That wish is
61 00:14:13.480 ⇒ 00:14:19.499 Robert Tseng: plugging in combining paid channels with that Google sheet. So
62 00:14:19.975 ⇒ 00:14:37.130 Robert Tseng: I think you’ll be blocked by that, so that I don’t think this is like something that you can fix right now. But that’s that’s the state of this dashboard. Vitash is the stakeholder. He’s a Cmo. I know he doesn’t use this at all. Sorry. We just need to get him to start using it this week.
63 00:14:37.520 ⇒ 00:14:47.230 Annie Yu: Okay, so is my goal. I guess before the model change is my goal to just see
64 00:14:47.830 ⇒ 00:14:56.060 Annie Yu: what’s needed. And then what’s the current state, or should I make any changes before we have that model ready.
65 00:14:56.340 ⇒ 00:15:12.949 Robert Tseng: Yeah, there’s like a maybe ask to like, audit this and be like, did this really answer kind of what was here? I think the answer is, no, but I don’t exactly know what was missing. It’s just been 4 weeks like, I’ve completely lost contacts here. So yeah, I
66 00:15:13.550 ⇒ 00:15:29.770 Robert Tseng: I think, just looking at it. There’s a few things that I saw that are just seem weird, like, obviously, this one. This doesn’t really make sense to do it this way and then. Yeah, I think this Ca, the calculation here is is wrong, but it’s like blocked by the model. There.
67 00:15:31.330 ⇒ 00:15:36.590 Annie Yu: Okay, yeah, I’ll I’ll spend some time here. I think there’s enough.
68 00:15:37.374 ⇒ 00:15:40.610 Annie Yu: There’s a lot for me to get familiar with, so.
69 00:15:40.610 ⇒ 00:15:41.210 Robert Tseng: Yeah.
70 00:15:41.210 ⇒ 00:15:41.900 Annie Yu: Here.
71 00:16:12.310 ⇒ 00:16:15.220 Robert Tseng: Okay, what’s that?
72 00:16:17.120 ⇒ 00:16:18.570 Robert Tseng: Escalate that one?
73 00:16:19.420 ⇒ 00:16:23.169 Robert Tseng: Yeah. So let’s talk about that mer thing. So
74 00:16:26.150 ⇒ 00:16:28.779 Robert Tseng: I believe it’s just this, right? So
75 00:16:29.810 ⇒ 00:16:35.270 Robert Tseng: I guess what? What do we need to? I think you have everything there right. Wish. So
76 00:16:36.050 ⇒ 00:16:38.560 Robert Tseng: I go here, and I look at like.
77 00:16:38.560 ⇒ 00:16:44.700 Awaish Kumar: What I need is like we like. Now, right now, I have 2 tables.
78 00:16:44.850 ⇒ 00:16:50.539 Awaish Kumar: One has the offline channel span. One has the online channel span.
79 00:16:50.770 ⇒ 00:16:57.660 Awaish Kumar: I can merge them both so that you have a date channel and expand columns.
80 00:16:58.160 ⇒ 00:16:59.000 Awaish Kumar: Alright.
81 00:16:59.530 ⇒ 00:17:03.579 Awaish Kumar: My question is, is that enough? Or do you need anything else?
82 00:17:04.760 ⇒ 00:17:12.389 Robert Tseng: No, yeah. So I think that’s right. I can reshare this. But I had this budget tracker that I had shared with Mattesh.
83 00:17:12.609 ⇒ 00:17:15.780 Robert Tseng: They were keeping track of offline spend here.
84 00:17:15.950 ⇒ 00:17:16.470 Robert Tseng: So I
85 00:17:16.810 ⇒ 00:17:22.360 Robert Tseng: I believe that this tab is the aggregation of everything that we need. Let me just filter off this.
86 00:17:25.380 ⇒ 00:17:38.519 Robert Tseng: yeah, like I would say, it’s it’s his, their responsibility to. Yeah, this is the sheet that Rob has. He said that he brought this into bigquery already. So, and I think he confirmed that.
87 00:17:38.670 ⇒ 00:17:46.750 Robert Tseng: yeah. So we just take this and we merge into that model. And then, yeah, you know one.
88 00:17:47.030 ⇒ 00:17:57.520 Robert Tseng: It’ll come from that from this table and also from north Beam, and that should be able to give Annie what she needs to go and build out right.
89 00:17:57.520 ⇒ 00:18:02.429 Awaish Kumar: So so only thing which I I am seeing. The difference is that
90 00:18:02.550 ⇒ 00:18:05.099 Awaish Kumar: from this sheet has the country information.
91 00:18:05.860 ⇒ 00:18:06.370 Robert Tseng: Okay.
92 00:18:06.370 ⇒ 00:18:09.130 Awaish Kumar: Data from North Main does not have a country information.
93 00:18:09.990 ⇒ 00:18:12.910 Awaish Kumar: That’s okay. Country information, is not that important? Yeah.
94 00:18:12.910 ⇒ 00:18:14.709 Awaish Kumar: yeah. Needed. Okay? Cause it’s not.
95 00:18:15.220 ⇒ 00:18:16.830 Robert Tseng: Not necessary. Yeah.
96 00:18:16.990 ⇒ 00:18:21.862 Awaish Kumar: Okay, so I can create a model which has both. And
97 00:18:22.390 ⇒ 00:18:25.149 Awaish Kumar: I can share it with Annie. And and yeah.
98 00:18:25.920 ⇒ 00:18:31.109 Robert Tseng: Okay, I’m just gonna please share this. So.
99 00:18:31.750 ⇒ 00:18:35.200 Awaish Kumar: But we we don’t need revenue for that right
100 00:18:35.780 ⇒ 00:18:38.759 Awaish Kumar: like join with revenue or orders data.
101 00:18:42.810 ⇒ 00:18:45.100 Robert Tseng: We need revenue.
102 00:18:47.120 ⇒ 00:18:49.230 Robert Tseng: Okay, yeah. So that was just spend
103 00:18:51.640 ⇒ 00:19:02.139 Awaish Kumar: Yeah, like. But this revenue by channel is like we can just get it from sales data like, we don’t need a model where we? We need to like merge them both somewhere. Right? It’s.
104 00:19:02.140 ⇒ 00:19:12.440 Robert Tseng: Yeah, that just impacts this number. Because this is just total revenue over total marketing spend. So that’s how the mer number will change here.
105 00:19:14.770 ⇒ 00:19:19.399 Robert Tseng: So I’m assuming that whatever yeah, this group is just paid channels.
106 00:19:19.600 ⇒ 00:19:25.249 Robert Tseng: So the denominator is too low. Once you add in what once you add in that sheet
107 00:19:25.520 ⇒ 00:19:31.580 Robert Tseng: it will increase the total spend, and therefore this number will go down.
108 00:19:32.910 ⇒ 00:19:33.630 Awaish Kumar: Okay.
109 00:19:37.110 ⇒ 00:19:39.150 Awaish Kumar: okay. I.
110 00:19:41.860 ⇒ 00:19:42.700 Robert Tseng: Yeah.
111 00:19:42.930 ⇒ 00:19:44.099 Robert Tseng: But yeah, I would say.
112 00:19:44.100 ⇒ 00:19:47.420 Awaish Kumar: I can. Yeah, I can build that model, and maybe
113 00:19:47.810 ⇒ 00:19:50.939 Awaish Kumar: then we can pair with any to.
114 00:19:50.940 ⇒ 00:19:51.280 Robert Tseng: Yeah.
115 00:19:51.280 ⇒ 00:19:52.979 Awaish Kumar: Figure out, if that’s okay.
116 00:19:53.490 ⇒ 00:19:59.400 Robert Tseng: Yeah, between you. And I need to figure out like, how that will. How will that will affect what we’re showing here right now from
117 00:20:00.250 ⇒ 00:20:01.609 Awaish Kumar: Yeah, sure.
118 00:20:04.804 ⇒ 00:20:12.479 Robert Tseng: Okay, sorry. Yeah. That scared me a bit because I was like, what? Why is it so low? Even if we update it? This is gonna show that
119 00:20:12.870 ⇒ 00:20:17.219 Robert Tseng: marketing efficiency is close to 0 like, that’s pretty bad.
120 00:20:19.050 ⇒ 00:20:22.619 Robert Tseng: But I think that’s only because I was looking at one product.
121 00:20:23.310 ⇒ 00:20:26.280 Robert Tseng: Still, that’s really strange.
122 00:20:33.740 ⇒ 00:20:37.170 Robert Tseng: Oh, I see, this includes all products.
123 00:20:37.980 ⇒ 00:20:39.730 Robert Tseng: If I just do.
124 00:20:42.894 ⇒ 00:20:45.430 Robert Tseng: Weird, some gap here.
125 00:20:46.210 ⇒ 00:20:48.080 Robert Tseng: Yeah. Something’s going on here.
126 00:20:51.910 ⇒ 00:20:56.389 Robert Tseng: Okay, lyriclutide is a new product, so that they don’t expect that to always have data.
127 00:20:58.940 ⇒ 00:21:02.050 Robert Tseng: Okay, like this is fine with me.
128 00:21:02.240 ⇒ 00:21:03.010 Robert Tseng: Alright.
129 00:21:03.300 ⇒ 00:21:15.199 Robert Tseng: I I don’t. I don’t believe that it’s less than one like I. I believe that maybe Sahana calculated this wrong. So I think if you need the definition of Merck, probably look it up. But I also don’t really believe this.
130 00:21:19.050 ⇒ 00:21:20.900 Robert Tseng: There’s no way it’s less than one
131 00:21:26.970 ⇒ 00:21:34.319 Robert Tseng: I don’t know. There’s appetize 21. I don’t know. Okay, something. Something just feels off about it. I have to spend more time looking into it.
132 00:21:34.700 ⇒ 00:21:38.590 Robert Tseng: But that’s just my my gut reading this. I’m like, this doesn’t really make sense.
133 00:21:42.010 ⇒ 00:21:45.320 Robert Tseng: Okay? So that’s that.
134 00:21:46.580 ⇒ 00:21:48.199 Robert Tseng: I will say.
135 00:21:53.320 ⇒ 00:22:03.509 Robert Tseng: yeah, there’s a couple of other things that I put on your plate. A wish like one is really just this thing where? Okay, from like a hipaa compliance perspective. Like.
136 00:22:03.880 ⇒ 00:22:09.880 Robert Tseng: I don’t think we’ve been doing any like deleted like customer data deletions right now. So
137 00:22:10.170 ⇒ 00:22:14.410 Robert Tseng: I I think we just need to. There’s not. There’s not
138 00:22:14.900 ⇒ 00:22:17.790 Robert Tseng: when we get a list of customers to delete.
139 00:22:18.150 ⇒ 00:22:23.970 Robert Tseng: or just like I don’t know if deletes the right. I don’t a soft delete, or like we
140 00:22:25.950 ⇒ 00:22:26.650 Robert Tseng: and you.
141 00:22:26.650 ⇒ 00:22:27.360 Awaish Kumar: Okay.
142 00:22:27.870 ⇒ 00:22:28.850 Robert Tseng: Yeah, something.
143 00:22:28.850 ⇒ 00:22:33.939 Awaish Kumar: We need to build some process to delete the users right.
144 00:22:34.490 ⇒ 00:22:35.260 Robert Tseng: Yeah.
145 00:22:35.870 ⇒ 00:22:41.209 Robert Tseng: There aren’t that many, you know, users that are requesting their data to be deleted, but it’s still like.
146 00:22:41.580 ⇒ 00:22:42.720 Robert Tseng: maybe like
147 00:22:43.230 ⇒ 00:22:51.409 Robert Tseng: 10 a month, or something like that is like what I what I was hearing from or from the seat from the CTO, so
148 00:22:53.900 ⇒ 00:22:54.750 Robert Tseng: yeah, that’s what.
149 00:22:54.750 ⇒ 00:22:55.920 Awaish Kumar: Okay, no problem.
150 00:22:56.580 ⇒ 00:23:06.709 Awaish Kumar: I can work on building the process, and then we can implement it. And so how they are going to send us the like a sheet or something to delete.
151 00:23:06.710 ⇒ 00:23:19.860 Robert Tseng: Yeah, I I just asked for like a monthly sheet, for now I think they let us have a 30 day window to like. Do it compliantly so, and we don’t get that many. So for now it’s just going to be a manual Csv. Once a month.
152 00:23:21.210 ⇒ 00:23:21.860 Awaish Kumar: Okay.
153 00:23:23.100 ⇒ 00:23:34.600 Robert Tseng: Yeah, like, I, even whatever I wrote out here, I think is, oh, is overkill like, I don’t think we need that. It’s just gonna be. We get a manual sheet once a month, and like, what are all the steps that we need to do to go and like delete that data.
154 00:23:35.690 ⇒ 00:23:39.590 Awaish Kumar: Okay, yeah. But we do need to delete it from expander and customer. Dot I/O.
155 00:23:40.140 ⇒ 00:23:41.460 Robert Tseng: Correct. Yeah.
156 00:23:41.460 ⇒ 00:23:42.790 Awaish Kumar: Okay. Okay.
157 00:23:44.910 ⇒ 00:23:49.749 Robert Tseng: Okay, that’s that. And then, but we talked about this already.
158 00:23:50.380 ⇒ 00:23:59.130 Robert Tseng: So yeah, I mean, we were, we kind of got stuck here. And it’s like, Okay, well, we need segment to bring in location and whatnot. I think this is still on me. So I’m gonna
159 00:24:04.950 ⇒ 00:24:08.480 Robert Tseng: I I don’t think this is this, I don’t think this is a wish anymore. This should probably me.
160 00:24:09.540 ⇒ 00:24:11.410 Robert Tseng: okay. And then.
161 00:24:14.330 ⇒ 00:24:34.179 Robert Tseng: yeah, I mean the main thing that I’m working on, that you kind of see my name sprinkled around is I redesigned the event data model trying to get it implemented with either their engineers or we’ll have to take it on, but I’m trying to get their engineers to do it as they have somebody who owns the best and web flow development. So I’d rather him him do it.
162 00:24:36.380 ⇒ 00:24:39.599 Robert Tseng: But yeah, that was supposed to get done.
163 00:24:39.790 ⇒ 00:24:47.889 Robert Tseng: Oh, I handed it off yesterday, but they just I don’t know. I guess there’s just more questions so needed to, I need to keep pushing on that today.
164 00:24:48.000 ⇒ 00:24:53.089 Robert Tseng: Cause that’s gonna give us the data that we need to build reports and mix panel.
165 00:24:56.390 ⇒ 00:25:06.198 Robert Tseng: yeah, so that’s pretty much it. I know. I said I was gonna add more tickets to things. I think that’s just kind of where I’m at right now. I didn’t really get to add too much more. So.
166 00:25:06.730 ⇒ 00:25:09.249 Robert Tseng: but I feel like there’s enough for for today.
167 00:25:13.990 ⇒ 00:25:16.529 Robert Tseng: Any other questions on things that I’ve missed. Yeah.
168 00:25:17.030 ⇒ 00:25:24.969 Demilade Agboola: So this is not especially on anything that you have missed. But I’m just wondering about like utility from the even end.
169 00:25:25.110 ⇒ 00:25:34.950 Demilade Agboola: Yeah, yeah, is it like at the dashboards we’re building? Are they being used? That’s 1 and 2. Are there any use cases or any like major
170 00:25:35.420 ⇒ 00:25:40.089 Demilade Agboola: potential wins that we’re not necessarily seeing, though we’re not necessarily meeting.
171 00:25:46.270 ⇒ 00:25:47.375 Robert Tseng: Yeah,
172 00:26:03.540 ⇒ 00:26:06.339 Robert Tseng: as far as like dashboards being used or not, like.
173 00:26:07.670 ⇒ 00:26:10.750 Robert Tseng: Obviously, the marketing ones are being used.
174 00:26:11.960 ⇒ 00:26:24.039 Robert Tseng: not the marketing dashboard that I flash. But like product level roas. Ltv, the daily reports. I mean, yeah, that that’s just become automatic, like they don’t ask us questions about that anymore, because there’s not no issues with it.
175 00:26:24.690 ⇒ 00:26:28.559 Robert Tseng: So as far as like, what’s
176 00:26:28.830 ⇒ 00:26:31.721 Robert Tseng: next? And then more impactful.
177 00:26:33.540 ⇒ 00:26:55.129 Robert Tseng: yeah, I mean, I could use help with that I kind of went through a similar exercise with, like, I, I just need to spend a couple of hours doing this. But like I was just gonna switch to like like pull parts like I went in and like I drummed up like a bunch of stuff like for them. That’s more strategic like next 3 to 6 months worth of kind of like work.
178 00:26:55.616 ⇒ 00:27:02.000 Robert Tseng: I feel like I kind of need to do something like that for Eden. I’ve just been put pushing it off for so long.
179 00:27:02.688 ⇒ 00:27:05.800 Robert Tseng: Josh did give me like his
180 00:27:06.420 ⇒ 00:27:10.439 Robert Tseng: like some spreadsheet that he had that I need to to go through.
181 00:27:12.580 ⇒ 00:27:27.449 Robert Tseng: I guess I didn’t put it into this ticket, but it’s in my in my inbox somewhere, so I know they’re like, not as hands on right now, because they’re launching a bunch of new products. I think for us, it’s just like making sure that the things that we said we would do would close them out.
182 00:27:27.570 ⇒ 00:27:30.760 Robert Tseng: Pharmacy marketing. Get those out the door.
183 00:27:31.130 ⇒ 00:27:37.009 Robert Tseng: obviously keeping the the data models that we have to adjust because of the new products ready.
184 00:27:38.610 ⇒ 00:27:48.240 Robert Tseng: and yeah, I’m I guess the product analytics work is what I’ve been putting my time to execution wise here, just because I feel like that’s
185 00:27:48.800 ⇒ 00:27:49.950 Robert Tseng: like the next
186 00:27:50.420 ⇒ 00:28:02.870 Robert Tseng: phase of work that would unlock some stuff on the Cro side where Ryan, you know, we don’t need to do embeddables like custom, modeling and tracking whatever, like
187 00:28:02.890 ⇒ 00:28:24.900 Robert Tseng: all those questions and answers, you can read off of this, the the web, the data layer already. And so I’m just trying to activate the event data more this week. So between that and also setting more of a strategic roadmap like, that’s that’s all I’ve got. Like, I think that’s that’s what that’s what I I can do this week.
188 00:28:25.654 ⇒ 00:28:35.960 Robert Tseng: But if you feel like you have other angles that you’re seeing, and you you want to contribute there, like, you know. Let let me know. But that’s that’s how I’ve been thinking about it.
189 00:28:38.990 ⇒ 00:28:48.119 Demilade Agboola: Okay, sounds good. I just wanted to see if we’re just not. You know, we’re just knocking out a bunch of tickets, but actually providing some sort of business value as well.
190 00:28:49.090 ⇒ 00:29:04.590 Robert Tseng: Yeah, yeah, no. I mean, that’s that’s fair. I think. I’ve I’ve been okay with the quieter week. Honestly, just giving you more time to go after things outside of this client. But no, I I hear you. I I do want to get that strategy, Doc ready for them, so we can keep
191 00:29:05.380 ⇒ 00:29:17.110 Robert Tseng: suggesting new things for Annie, like I had, like some things in cycle we had talked previously about like predictive analytics, a bit doing incrementality and stuff like that. But
192 00:29:17.250 ⇒ 00:29:31.560 Robert Tseng: it’s there’s just so much that’s been changing. I don’t know who owns incrementality anymore on their side, because they, you know, fired their performance marketing team, and so like, I feel like some of the things that I wanted to do are also kind of
193 00:29:32.860 ⇒ 00:29:38.909 Robert Tseng: paused until they get organized on like, who’s gonna be taking the reins on some of these projects, too?
194 00:29:46.420 ⇒ 00:29:49.470 Robert Tseng: Okay? Well, anyway, I’ll I’ll I mean, I’ll keep
195 00:29:50.400 ⇒ 00:30:04.030 Robert Tseng: yeah. Sorry. I know it’s kind of like this week’s kind of taking a day by day, and I’m not like giving like that much anything. Go back to the projects. Look at what’s active things that are in flight. But yeah, like, I, I do need to
196 00:30:04.180 ⇒ 00:30:10.670 Robert Tseng: set aside like half a day pretty much. And do this like scoping exercise for the next
197 00:30:11.000 ⇒ 00:30:20.130 Robert Tseng: 3 3 months at least. So I just. I just haven’t done it yet, and I don’t. I’m not gonna do it today. My, my, yeah, it’s gonna probably end up being tomorrow.
198 00:30:25.590 ⇒ 00:30:26.600 Demilade Agboola: Sounds good.
199 00:30:27.400 ⇒ 00:30:31.809 Robert Tseng: Alright. Well, that’s it. Just we’ll communicate on slack. Thanks. Everyone.
200 00:30:32.220 ⇒ 00:30:32.830 Annie Yu: Yeah.