Meeting Title: [Eden] CDP Trial and Project Updates Sync Date: 2025-07-01 Meeting participants: Robert Tseng, Fireflies.ai Notetaker Tigran, Awaish Kumar, Demilade Agboola, Josh
WEBVTT
1 00:02:01.550 ⇒ 00:02:02.560 Robert Tseng: Hey! Wish.
2 00:02:05.560 ⇒ 00:02:06.190 Awaish Kumar: Hello!
3 00:02:21.240 ⇒ 00:02:23.870 Robert Tseng: I’ll wait like another minute for.
4 00:03:02.920 ⇒ 00:03:03.720 Demilade Agboola: Hello!
5 00:03:05.620 ⇒ 00:03:06.520 Robert Tseng: Hey?
6 00:03:13.850 ⇒ 00:03:15.250 Robert Tseng: You feeling better.
7 00:03:17.538 ⇒ 00:03:18.972 Demilade Agboola: Yeah, much better.
8 00:03:19.590 ⇒ 00:03:24.869 Demilade Agboola: Yesterday I was just like nauseous, and I had a headache. It was. It was quite the combo.
9 00:03:25.190 ⇒ 00:03:25.990 Robert Tseng: Oh, man!
10 00:03:26.350 ⇒ 00:03:26.940 Demilade Agboola: Yeah.
11 00:03:26.940 ⇒ 00:03:27.860 Robert Tseng: It was.
12 00:03:28.860 ⇒ 00:03:32.680 Demilade Agboola: I I haven’t. I’m not sure, but I do know.
13 00:03:33.180 ⇒ 00:03:35.700 Demilade Agboola: I did feel a bit weird in the morning.
14 00:03:36.610 ⇒ 00:03:48.680 Demilade Agboola: Then I had to quickly go out and do some things. So I had motion sickness from that, because it was like electric vehicles, and by the time I came back home, like my head was just pounding. I felt like I wanted to throw up.
15 00:03:49.090 ⇒ 00:04:02.920 Demilade Agboola: And I was just like, Okay, so I tried to look at my screen for a bit, but like the light, the glare, everything was just not which I was just like. I can’t, I can’t do this, so I just had to take like ibuprofen, and I slept.
16 00:04:03.050 ⇒ 00:04:08.119 Demilade Agboola: and then I woke up, feeling a little bit better. Then I slept again, and I woke up, and I was much better.
17 00:04:08.540 ⇒ 00:04:11.190 Robert Tseng: Yeah, sounds like a migraine.
18 00:04:11.830 ⇒ 00:04:15.430 Demilade Agboola: Yeah, yeah, I don’t know. It was just.
19 00:04:16.380 ⇒ 00:04:20.932 Demilade Agboola: I don’t usually have those. So it’s a bit. It’s a bit weird. But I’m you know.
20 00:04:23.250 ⇒ 00:04:27.920 Robert Tseng: I. I get migraines regularly. So I get it. Sometimes when it comes on, I just
21 00:04:28.090 ⇒ 00:04:31.090 Robert Tseng: I can’t do anything for until it passes.
22 00:04:33.870 ⇒ 00:04:34.840 Robert Tseng: Yeah.
23 00:04:36.250 ⇒ 00:04:38.370 Robert Tseng: Okay. Well, I mean, I guess
24 00:04:38.800 ⇒ 00:04:44.089 Robert Tseng: we’ll we’ll jump into it. It’ll it’s just us 3. So I’m just gonna
25 00:04:44.450 ⇒ 00:04:50.939 Robert Tseng: share my screen. Maybe someone from Eden will join. I think I’ve messaged Sarah on the pharmacy team to
26 00:04:51.190 ⇒ 00:04:55.830 Robert Tseng: join. As she asked me a question. I don’t really know what she’s talking about.
27 00:04:58.060 ⇒ 00:05:11.670 Robert Tseng: But yeah, okay, so I mean just to catch you up a bit. Them a lot of just from like a project perspective as far as priorities. Some things have shifted since last week. Cdp trial. That’s kind of what I’m spending my time on. And then
28 00:05:12.112 ⇒ 00:05:17.190 Robert Tseng: so I mean, I may have you guys here and there, but so far it’s not been necessary.
29 00:05:18.530 ⇒ 00:05:19.539 Robert Tseng: And then.
30 00:05:19.540 ⇒ 00:05:20.920 Demilade Agboola: We try to order stack.
31 00:05:21.840 ⇒ 00:05:25.520 Robert Tseng: Yeah. So we’re we’re doing. We’re trying to rudder stack and
32 00:05:26.190 ⇒ 00:05:30.620 Robert Tseng: we just we didn’t really move anything yesterday. So between that and
33 00:05:31.644 ⇒ 00:05:39.999 Robert Tseng: I think I’ve already talked about the test that we’re doing with you guys. But we’re just gonna I mean you. You’ll see it come up in a message later. So I don’t need to talk about it now.
34 00:05:43.000 ⇒ 00:05:44.330 Robert Tseng: Yeah. And then
35 00:05:45.480 ⇒ 00:05:58.530 Robert Tseng: we kind of changed this project of marketing data marts. We just turned into marketing data platform. Because now, you know, we’re setting up just like different workflows. We do like Google sheet maintenance as well. And like
36 00:05:58.770 ⇒ 00:06:11.379 Robert Tseng: we’re doing automation. We’re doing a lot more than just modeling for them. So it does seem to be the higher priority this week, because there are some things that the marketing teams blocked by which has been kind of working on those.
37 00:06:11.520 ⇒ 00:06:25.919 Robert Tseng: and then, which is also kind of getting ahead of the emr migration. So having him kind of basically be tech lead with the Emr Dev team. So those are kind of the things he’s working on.
38 00:06:26.380 ⇒ 00:06:46.049 Robert Tseng: I think product data. Standardization doesn’t go away. I think there’s some legacy or not. There’s just some stuff from previous cycles that we’re trying to wrap up, and then I think there will be some requests around like more strategic, less urgent work. But hopefully, more thoughtful work that we’re we’re gonna you and I will probably partner a bit more on
39 00:06:47.370 ⇒ 00:06:56.740 Robert Tseng: So things like, for example, whoops wrong channel about
40 00:07:02.570 ⇒ 00:07:05.620 Robert Tseng: yeah. Like we got good feedback on
41 00:07:06.220 ⇒ 00:07:11.369 Robert Tseng: like the product journey dashboard. Seems like there’s like a next step that we need to think through
42 00:07:11.520 ⇒ 00:07:13.619 Robert Tseng: like, how do we really help the team
43 00:07:14.200 ⇒ 00:07:25.440 Robert Tseng: insights from that? So I think that’s like one thing. And then some of the conversations that we’ve had with Jonah like like the Cfo.
44 00:07:25.880 ⇒ 00:07:29.679 Robert Tseng: Their I mean, whether it’s like
45 00:07:30.250 ⇒ 00:07:42.279 Robert Tseng: getting the forecasting done. I think that’s kind of blocked by the making sure that we have the file size adjustments that ready in the data model after your your meeting with Rebecca last week.
46 00:07:42.380 ⇒ 00:07:59.180 Robert Tseng: And then, yeah, there’s probably like a couple of other things there. So Tldr is probably less urgent stuff. A lot of his plate this week, but you know we want to just kind of get ahead of as much as we can. So and then away. She’s kind of working on more of their urgent stuff.
47 00:08:01.420 ⇒ 00:08:17.109 Robert Tseng: that said, just kind of moving into this board. I’ve kind of updated everything and escalated. I want to see? Kind of clear it out. On the amortization side. I’ve already asked fast for stripe access. That’s kind of pending. So these tickets won’t move.
48 00:08:18.820 ⇒ 00:08:19.960 Robert Tseng: And then.
49 00:08:20.870 ⇒ 00:08:32.190 Robert Tseng: yeah, I think these 2 are tied together as well the order to delivery time investigation. They’ve a lot of you said you were. Gonna go and close that out last week. So I would kind of want want us to
50 00:08:32.380 ⇒ 00:08:43.770 Robert Tseng: get an answer there. If not, then this is also a question that we need to go and put in front of fast as well. Right? So I think this is relevant to what Sarah
51 00:08:44.159 ⇒ 00:08:47.130 Robert Tseng: probably would join. They’re asking about
52 00:08:47.540 ⇒ 00:08:53.520 Robert Tseng: pharmacy turnaround time. That’s an operational kpi that people don’t really trust from our dashboards right now.
53 00:08:54.082 ⇒ 00:09:06.349 Robert Tseng: I think Rebecca still wanted to report on that, but just hasn’t been able to find a good way to do so. So I think that’s that’s kind of urgent for her, because we basically she missed
54 00:09:07.030 ⇒ 00:09:16.960 Robert Tseng: every Monday. They do a readout, and she didn’t have a readout again last week, so the the blame kind of comes back to us because she hasn’t reported on this metric in over a month.
55 00:09:19.430 ⇒ 00:09:28.479 Robert Tseng: yeah, so doesn’t really know if pharmacies are really getting orders out on time doesn’t have like a consistent sla to hold them accountable for
56 00:09:32.010 ⇒ 00:09:40.389 Robert Tseng: and then I think we were. We had some things to wrap up here on breaking out some of the the cogs more by the product here.
57 00:09:40.620 ⇒ 00:09:58.439 Robert Tseng: which I think a wish. And I we briefly talked about yesterday how on the current Google Sheet there are duplicates. Right now, we just use the 1st cogs tied to a product. But sometimes a product has multiple cogs. And so I think that was maybe related to what we were talking about here.
58 00:09:59.750 ⇒ 00:10:12.160 Robert Tseng: Alright. Well, I did a lot of talking kind of just sharing. These are all the things that I want to see kind of moved out. These are like carried over from last week, or just kind of well, like urgent things that I want updates on. So maybe we’ll start here.
59 00:10:16.619 ⇒ 00:10:20.809 Demilade Agboola: Sounds good I’m trying to out. Look in Basque as well.
60 00:10:21.982 ⇒ 00:10:31.450 Demilade Agboola: But for the delivery I can’t seem to see like buss delivery status like date.
61 00:10:32.130 ⇒ 00:10:39.510 Demilade Agboola: So I’m not exactly sure how they get it. I will keep playing around and pass and see if I can find anything. But yeah.
62 00:10:41.250 ⇒ 00:10:44.810 Robert Tseng: If you can’t find anything. If you could drop a message
63 00:10:45.680 ⇒ 00:10:49.171 Robert Tseng: to Zack, I think that’d be helpful.
64 00:10:51.230 ⇒ 00:10:58.650 Robert Tseng: yeah, I mean, we’ve been kind of nudging him there. So I’m just looking even.
65 00:10:59.250 ⇒ 00:11:01.130 Robert Tseng: No, maybe not.
66 00:11:05.150 ⇒ 00:11:07.119 Robert Tseng: Okay. And then.
67 00:11:07.780 ⇒ 00:11:14.320 Robert Tseng: yeah, I wish maybe we kind of couple of things the spend maintenance. Kind of how’s that going.
68 00:11:17.220 ⇒ 00:11:20.709 Awaish Kumar: Sorry. Yeah, this one, basically.
69 00:11:23.310 ⇒ 00:11:26.760 Awaish Kumar: So number one thing they said, like, it’s not being updated.
70 00:11:27.322 ⇒ 00:11:32.549 Awaish Kumar: I don’t like, think so. That’s happening because I just tried verifying
71 00:11:33.300 ⇒ 00:11:38.109 Awaish Kumar: the Api request we are making, for example, to commentium.
72 00:11:38.320 ⇒ 00:11:43.970 Awaish Kumar: So the data I’m getting is is up to only the 30th of June.
73 00:11:44.210 ⇒ 00:11:48.249 Awaish Kumar: So there is no data after that from this. That source.
74 00:11:49.290 ⇒ 00:11:51.410 Robert Tseng: Yeah, it should be like daily data. I think.
75 00:11:53.000 ⇒ 00:11:58.750 Awaish Kumar: Like. So yeah, like, maybe they are not spending. That’s why we are. We don’t have new roles for that.
76 00:12:01.850 ⇒ 00:12:10.480 Awaish Kumar: So I’m I’m sending Api request to Mntn to get the the spend information, and the data I get is only up to the
77 00:12:11.200 ⇒ 00:12:12.590 Awaish Kumar: 30th of June.
78 00:12:13.850 ⇒ 00:12:14.560 Robert Tseng: Okay.
79 00:12:16.150 ⇒ 00:12:17.060 Awaish Kumar: So.
80 00:12:17.510 ⇒ 00:12:22.870 Awaish Kumar: And I see the script is running on a time trigger in the Google sheets.
81 00:12:23.110 ⇒ 00:12:27.500 Awaish Kumar: So it’s getting updated. And
82 00:12:29.070 ⇒ 00:12:32.280 Awaish Kumar: the only thing which is not getting updated is
83 00:12:32.870 ⇒ 00:12:41.789 Awaish Kumar: from these 4 sheets, like in the in this Google sheet, we have 5 different individual sheets. Each
84 00:12:42.020 ⇒ 00:12:44.990 Awaish Kumar: 4 of them are like for internal sources.
85 00:12:45.470 ⇒ 00:12:48.099 Awaish Kumar: and the 5th one is as the
86 00:12:48.480 ⇒ 00:12:51.820 Awaish Kumar: and merges all of them together like in one.
87 00:12:52.730 ⇒ 00:12:59.650 Awaish Kumar: For all of these 4 individual source sheets. It’s getting updated like from this script. And it’s working fine.
88 00:13:00.380 ⇒ 00:13:01.780 Awaish Kumar: The only one.
89 00:13:01.930 ⇒ 00:13:06.409 Awaish Kumar: The major main one is not getting updated. And I’m just.
90 00:13:07.560 ⇒ 00:13:13.169 Awaish Kumar: And it’s it’s not happening in the script either. So I don’t know like where it’s happening. I’ve asked Rob.
91 00:13:13.830 ⇒ 00:13:16.710 Awaish Kumar: So if, like, let’s see if we buy
92 00:13:18.501 ⇒ 00:13:21.519 Awaish Kumar: the offline data. That’s the main one
93 00:13:25.300 ⇒ 00:13:29.570 Awaish Kumar: which actually unifies like merges all of the other sources.
94 00:13:29.830 ⇒ 00:13:31.989 Awaish Kumar: Data anyone. This one.
95 00:13:32.540 ⇒ 00:13:33.909 Robert Tseng: Got it.
96 00:13:38.680 ⇒ 00:13:48.030 Robert Tseng: So yeah, we do need to give them an update. We’ve kinda I’ve been buying a time saying, we’re working on this working on this. So I just we need to give them something. So what’s what’s the
97 00:13:48.480 ⇒ 00:13:50.409 Robert Tseng: what’s the what’s the message?
98 00:13:53.680 ⇒ 00:14:00.409 Awaish Kumar: Okay, I would like the message is that data for these
99 00:14:01.630 ⇒ 00:14:09.320 Awaish Kumar: individual sources is getting updated. Only the offline data sheet is is not updated. And
100 00:14:10.470 ⇒ 00:14:15.020 Awaish Kumar: I did ask Rob about it. He didn’t reply. So I we just have to figure out like where
101 00:14:15.140 ⇒ 00:14:17.089 Awaish Kumar: this sheet is getting updated.
102 00:14:18.270 ⇒ 00:14:22.919 Robert Tseng: Okay, is that something you think you can figure out like, I know, Rob’s not really great at like.
103 00:14:23.160 ⇒ 00:14:34.579 Robert Tseng: Whenever he’s run things. He doesn’t really give me the queries, and so I either have to recreate the queries myself, or I end up kind of going back into the execution logs and trying to
104 00:14:34.860 ⇒ 00:14:45.480 Robert Tseng: like. Figure, figure that out which I think I’ve been able to reconstruct most of the things that he’s built. So I do think it’s possible. But yeah, are you having trouble with that? Or what.
105 00:14:47.020 ⇒ 00:14:51.860 Awaish Kumar: No, no, I’m I just figure that out. I I have to just
106 00:14:52.920 ⇒ 00:14:56.820 Awaish Kumar: now, like use, excel sheets some formula
107 00:14:57.250 ⇒ 00:15:00.699 Awaish Kumar: to merge these into one in the offline data
108 00:15:00.860 ⇒ 00:15:04.990 Awaish Kumar: main sheet. Just have to figure that out like, because
109 00:15:05.740 ⇒ 00:15:12.740 Awaish Kumar: like, I have not worked with the actual sheet like how the if it’s possible to do that in a
110 00:15:13.660 ⇒ 00:15:16.600 Awaish Kumar: without manual intervention. I’m just looking at that.
111 00:15:18.210 ⇒ 00:15:18.930 Robert Tseng: Okay.
112 00:15:19.800 ⇒ 00:15:20.310 Awaish Kumar: So.
113 00:15:20.310 ⇒ 00:15:26.319 Robert Tseng: So I’m gonna basically say, these are all up to date. It’s just the offline. Tab is not working. And
114 00:15:27.090 ⇒ 00:15:31.670 Robert Tseng: are we still gonna move this to Daxter or anything, or does it not matter? We can just kind of keep it in
115 00:15:31.780 ⇒ 00:15:33.010 Robert Tseng: like, that’s what so like.
116 00:15:33.010 ⇒ 00:15:33.420 Robert Tseng: And.
117 00:15:33.420 ⇒ 00:15:34.070 Awaish Kumar: You know.
118 00:15:35.980 ⇒ 00:15:41.220 Awaish Kumar: Yeah, like, like, are they using the sheet? Like, I thought, it’s for us right?
119 00:15:41.490 ⇒ 00:15:45.250 Awaish Kumar: If it is for us, we I can like we should move it to Dexter.
120 00:15:45.710 ⇒ 00:15:48.980 Awaish Kumar: But again, if they are also using the Google sheet.
121 00:15:49.150 ⇒ 00:15:51.179 Awaish Kumar: then we just keep it there because
122 00:15:52.370 ⇒ 00:15:57.770 Awaish Kumar: I wanted to move it to digester because I wanted to move away from Google sheets just keep it in tables.
123 00:16:05.190 ⇒ 00:16:09.220 Awaish Kumar: So if they are using it, we still have to create these Google sheets for them.
124 00:16:10.200 ⇒ 00:16:20.600 Robert Tseng: Okay, there’s some issues. So another thing that you said, there’s another influencing platform that’s not being tracked here, like, I don’t know, like, maybe we just need to add a different tab
125 00:16:21.530 ⇒ 00:16:33.580 Robert Tseng: and then it seems like before anytime they had something, it would just be added as a new tab. They’d set up some sort of script to pull in the daily number in here all that would be aggregated to the offline tab.
126 00:16:33.710 ⇒ 00:16:39.830 Robert Tseng: and that’s what this team has been using. They’re very low tech, I guess so, which is fine, like I think
127 00:16:40.440 ⇒ 00:16:42.690 Robert Tseng: we can keep it. I mean we should.
128 00:16:42.930 ⇒ 00:16:54.760 Robert Tseng: Whatever is easier for us to maintain. The point is that Rob is no longer maintaining this. I think he was doing that for a while. So we just have to that. We have to make a decision. And just yeah, I mean, I would want you to.
129 00:16:56.610 ⇒ 00:16:57.770 Robert Tseng: Okay, he’s like.
130 00:16:57.770 ⇒ 00:16:58.430 Awaish Kumar: Right now. It’s.
131 00:16:58.770 ⇒ 00:16:59.520 Robert Tseng: Yeah.
132 00:16:59.880 ⇒ 00:17:07.230 Awaish Kumar: Right now all these steps are refreshed except the one we can communicate that, and in the meantime I can move it off to the
133 00:17:08.079 ⇒ 00:17:11.749 Awaish Kumar: Dexter, because that’s the one easy to work with.
134 00:17:12.200 ⇒ 00:17:13.741 Awaish Kumar: at least for us. Because,
135 00:17:14.150 ⇒ 00:17:16.709 Awaish Kumar: he wrote some functions which are kind of
136 00:17:17.220 ⇒ 00:17:22.069 Awaish Kumar: app script language. We are like we are. We are not like very familiar with that.
137 00:17:22.680 ⇒ 00:17:23.400 Robert Tseng: Sure.
138 00:17:25.609 ⇒ 00:17:33.989 Robert Tseng: Okay, so sounds like we have a plan moving forward there. I can send the 1st message. But then afterwards I’m going to CC, you, and then you’ll you’ll be
139 00:17:34.610 ⇒ 00:17:36.360 Robert Tseng: you can kind of keep talking to them.
140 00:17:36.620 ⇒ 00:17:39.060 Robert Tseng: Okay, yeah.
141 00:17:39.410 ⇒ 00:17:46.201 Robert Tseng: And then the other thing. Yeah, this is just on the customer data deletion like, where did we get with this like
142 00:17:47.360 ⇒ 00:17:48.040 Awaish Kumar: Not.
143 00:17:48.800 ⇒ 00:17:51.740 Awaish Kumar: Yeah. I haven’t looked at it yet.
144 00:17:58.010 ⇒ 00:18:00.960 Awaish Kumar: I know, like there are 3 different requests.
145 00:18:01.380 ⇒ 00:18:08.799 Robert Tseng: Yeah, I didn’t consolidate them all to one. I just kind of some of those were slack. So as you’re working through it. If you could just throw it in the ticket. That’d be helpful.
146 00:18:12.580 ⇒ 00:18:16.699 Robert Tseng: Okay, cool. So those are the things that I think are the most urgent
147 00:18:16.810 ⇒ 00:18:31.570 Robert Tseng: has treatment. Id. Now. So that’s big. What does that unblock for you? For me? I think it unblocks. Once you update it, I’ll actually be able to do the forecast model. But yeah, like, kind of
148 00:18:32.030 ⇒ 00:18:40.140 Robert Tseng: shipment id product, mapping trigger. So like, there’s just like, there’s some things that are legacy like, what what do we need to. Yeah, how how does this impact
149 00:18:41.220 ⇒ 00:18:43.720 Robert Tseng: the existing, the tickets that we have.
150 00:18:44.350 ⇒ 00:18:56.889 Demilade Agboola: So I need to go through, check it and kind of like get up to speed on some of them, but effectively right now, what that means is for every single treatment. If we’re trying to do analysis on treatment
151 00:18:57.160 ⇒ 00:19:25.710 Demilade Agboola: and tie it back to like the orders and like the product mappings that make up that those treatments we can. It’s very easy to do it now, unlike before, where like bundles could have been an issue, or like the different products could have been an issue. But now it’s just very easy to see, hey? So this treatment happened the 1st order or the order. Well, not necessarily first, st because you know, we just had it live this past week.
152 00:19:25.770 ⇒ 00:19:33.360 Demilade Agboola: But whatever order we see, this is the product that was sent. This is potentially the bundle that was sent.
153 00:19:33.490 ⇒ 00:19:40.320 Demilade Agboola: And we can kind of go with the flow, basically, every single, every single step of the way which we could not do before.
154 00:19:41.380 ⇒ 00:19:48.070 Robert Tseng: Okay. Then, I’m gonna say, for some of these I’ve been blocked. We won’t want to catch up on like, what
155 00:19:48.230 ⇒ 00:19:51.719 Robert Tseng: can we do now like, how does it impact these things? So.
156 00:19:52.090 ⇒ 00:19:58.120 Demilade Agboola: Yeah, I know Bobby had a request some months back that we kind of did the work for, but we could kind of like
157 00:19:58.700 ⇒ 00:20:02.069 Demilade Agboola: look into them now and see if like. Oh.
158 00:20:02.450 ⇒ 00:20:07.969 Demilade Agboola: we can just move ahead with them and just build models to help them out. Going forward.
159 00:20:10.130 ⇒ 00:20:10.870 Robert Tseng: Okay.
160 00:20:26.380 ⇒ 00:20:44.249 Robert Tseng: okay, so yeah, after you do that investigation, please let me know. So we can kind of follow up like, I just wanna be able to articulate the capability we have now, and kind of to bring this back to Rebecca and Bobby, and be like, hey? You asked us to do these things couple of months ago. We now can.
161 00:20:44.860 ⇒ 00:20:53.280 Robert Tseng: you know, let’s confirm, that this is the work that we need to do like I I want to be able to to get this off of the shelf.
162 00:20:55.960 ⇒ 00:20:57.150 Demilade Agboola: Okay. Sounds good.
163 00:21:00.450 ⇒ 00:21:08.109 Robert Tseng: Yeah. And then I think you also have a couple of things. You have a recurring. You have some recurring tasks. I don’t know if you can update or not. If they are, you can.
164 00:21:08.110 ⇒ 00:21:08.990 Awaish Kumar: My God.
165 00:21:09.780 ⇒ 00:21:11.390 Robert Tseng: Do some of your own grooming.
166 00:21:12.687 ⇒ 00:21:14.322 Robert Tseng: And then,
167 00:21:15.870 ⇒ 00:21:23.290 Robert Tseng: yeah, on this intake thing we’re talking about like aggregating by intake, not by type form, but off fast.
168 00:21:23.580 ⇒ 00:21:32.550 Robert Tseng: I think I had tagged you in a message saying like, Well, I mean we had. I had asked you this question last week. So here is an actual use case of one that they’ve asked for.
169 00:21:33.720 ⇒ 00:21:35.389 Demilade Agboola: Yeah, so yeah.
170 00:21:35.510 ⇒ 00:21:48.869 Demilade Agboola: what I’m trying to understand is, if this, what do you? What you’re trying to get is bask data, or if what you’re trying to get is a type form data that is on bask. If you get what I’m trying.
171 00:21:49.270 ⇒ 00:21:55.110 Robert Tseng: Yeah, I think it’s they’re just they’re separate like, I don’t. I like, kind of clicked around a couple of ids here like, I
172 00:21:55.290 ⇒ 00:22:00.549 Robert Tseng: I think they use both. So I guess just it’s it’s not a problem.
173 00:22:00.640 ⇒ 00:22:01.460 Robert Tseng: Yeah.
174 00:22:01.830 ⇒ 00:22:08.190 Demilade Agboola: If it’s bask data, we’ll have to get them to send that like, get the way to get like to get that from them.
175 00:22:08.760 ⇒ 00:22:14.179 Demilade Agboola: But if it’s type form data like, you know, we already do have the type form data here with us.
176 00:22:14.180 ⇒ 00:22:18.780 Robert Tseng: So the type one stuff is good. I think He’ron already kind of signed up on that. But I
177 00:22:19.050 ⇒ 00:22:30.069 Robert Tseng: I mean I am not able to find this particular question there. I think it’s new, may have no answers, but I don’t think it’s actually pipeline like I I think this is just out of bass directly. So
178 00:22:30.070 ⇒ 00:22:31.480 Robert Tseng: like Ryan, right.
179 00:22:31.650 ⇒ 00:22:32.520 Awaish Kumar: Just a
180 00:22:32.800 ⇒ 00:22:44.190 Awaish Kumar: feedback here like the for the time from, I mean dashboard. I’m just looking at time type form forms which actually got some responses
181 00:22:44.964 ⇒ 00:22:48.859 Awaish Kumar: so if we go similarly to raw data for the type form.
182 00:22:49.060 ⇒ 00:22:51.820 Awaish Kumar: and in the forms data, you might find this one.
183 00:22:52.240 ⇒ 00:22:55.359 Awaish Kumar: So far, the forms that there is no response.
184 00:22:55.580 ⇒ 00:22:57.940 Awaish Kumar: They are not included in this dashboard.
185 00:23:00.090 ⇒ 00:23:02.499 Demilade Agboola: Oh, okay, all right. So that.
186 00:23:02.500 ⇒ 00:23:08.980 Robert Tseng: No, I thought, that’s what Noel was. But okay, cool. Yeah. Maybe we check that first.st yeah.
187 00:23:11.380 ⇒ 00:23:12.400 Demilade Agboola: Okay.
188 00:23:14.710 ⇒ 00:23:18.631 Robert Tseng: Okay, so that takes care of that one.
189 00:23:22.230 ⇒ 00:23:28.272 Robert Tseng: yeah, okay, I mean, that’s pretty much all I have. I think we know what we need to knock out today.
190 00:23:29.360 ⇒ 00:23:30.380 Demilade Agboola: And then.
191 00:23:30.670 ⇒ 00:23:35.939 Robert Tseng: Yeah, I’ll keep you guys posted. And you still need to create a couple of tickets for
192 00:23:36.524 ⇒ 00:23:45.439 Robert Tseng: like, the the testing that we’re doing with rudder stack. And then also, yeah, with the new
193 00:23:46.030 ⇒ 00:23:55.909 Robert Tseng: request. That’s more the more strategic stuff on the finance, or like kind of the the next steps on the product journey. AI thing that I was. I was talking about earlier. So
194 00:23:56.420 ⇒ 00:23:59.670 Robert Tseng: but yeah, I think we can. We can probably cover that later.
195 00:24:05.130 ⇒ 00:24:08.000 Josh : So what is the scope of deliverables for this week?
196 00:24:08.700 ⇒ 00:24:09.859 Josh : Just real quick.
197 00:24:10.800 ⇒ 00:24:22.430 Robert Tseng: Yeah. So couple of things. One is, we’re running the pilot on the Cdp side. So we have one that’s going with rubber stack right now and then. We also have one. That’s I mean, I’m not.
198 00:24:22.750 ⇒ 00:24:27.600 Robert Tseng: I think this is just what we have internally like. We’re
199 00:24:27.750 ⇒ 00:24:33.799 Robert Tseng: kind of creating the customer data mall. I’m basically trying to replicate what we think. We, what
200 00:24:34.350 ⇒ 00:24:52.620 Robert Tseng: do do the the identity stitching ourselves and then also set kind of testing like the treatment based audiences. Now that we have that data and vast. So I mean, I don’t think that will. That pilot will finish this week. But this is in this in this week and next week.
201 00:24:53.495 ⇒ 00:25:03.090 Robert Tseng: And then there’s a couple investigations. One is on the pharmacy side, I think, like the pharmacy turnaround time.
202 00:25:04.920 ⇒ 00:25:12.707 Robert Tseng: Rebecca’s confused around like how that’s calculated in vast versus what we have in the dashboard. So there’s
203 00:25:13.560 ⇒ 00:25:15.480 Robert Tseng: some work that we’re doing around there
204 00:25:15.750 ⇒ 00:25:20.360 Robert Tseng: and then. Yeah, I think just kind of catching up on some of the
205 00:25:20.760 ⇒ 00:25:23.630 Robert Tseng: work with Jonah, I think.
206 00:25:26.570 ⇒ 00:25:32.070 Robert Tseng: Cogs, breakdowns, vile vial level granularity.
207 00:25:33.385 ⇒ 00:25:37.470 Robert Tseng: And yeah, I guess, like, just
208 00:25:38.700 ⇒ 00:25:47.329 Robert Tseng: treatment and vile level, like, reporting is kind of like the the things that we’re mostly working on this week.
209 00:25:50.450 ⇒ 00:25:55.959 Josh : Okay, well, there’s gonna be, basically, I think we’re gonna have to do a couple of things.
210 00:25:56.430 ⇒ 00:26:00.469 Josh : We’re gonna have to over the next couple of weeks
211 00:26:01.150 ⇒ 00:26:07.950 Josh : we have a lot of big pieces moving. I really gotta start getting the Ehc stuff integrated.
212 00:26:08.990 ⇒ 00:26:23.229 Josh : So it’s like, you know, we’re gonna have to spend like 40%, 50% of time just on that. I know. Then we’re probably gonna have to do another really basic, you know, like, you know. Let’s call it housekeeping cleanup Cdp stuff.
213 00:26:23.720 ⇒ 00:26:25.050 Josh : for you know.
214 00:26:25.950 ⇒ 00:26:36.179 Josh : tying all this stuff together, which is going to be like another 40 or 40 or 50 depending on. You know how it’s it’s worked, and then the last piece is.
215 00:26:36.290 ⇒ 00:26:41.520 Josh : we still have some ongoing things that we have to do just to keep the lights on for the telehealth side.
216 00:26:43.090 ⇒ 00:26:47.450 Josh : And so like, that’s like another 10%. You see what I’m saying. So like, I’m just trying to like
217 00:26:47.650 ⇒ 00:26:52.049 Josh : trying to map out the priority and like the measurement of stuff.
218 00:26:52.310 ⇒ 00:26:56.279 Josh : Because if we don’t, it’s gonna end up being really messy.
219 00:26:57.290 ⇒ 00:27:06.860 Robert Tseng: Sure. Yeah, I mean, from a project level perspective. This is, these are our priorities this week. So I think the Cdp stuff is most urgent. That’s my main priority. And then
220 00:27:07.550 ⇒ 00:27:14.960 Robert Tseng: on the marketing side, there’s offline spend kind of stuff that we aren’t taken care of, but generally some
221 00:27:15.320 ⇒ 00:27:16.620 Robert Tseng: some new audit
222 00:27:16.740 ⇒ 00:27:31.296 Robert Tseng: kind of take maintaining more of the Google sheets, or whatever that they use, kind of adjusting some of the reporting we do for them. And then on the Ehc side, we already kind of gave that 1st pass that they were asking for last week. So
223 00:27:32.550 ⇒ 00:27:38.180 Robert Tseng: yeah, I think that’s you know, as as more requirements come out from there, we can, we can. We can handle it. But I think.
224 00:27:38.180 ⇒ 00:27:42.749 Josh : Did you see what Danny had said? Though Danny basically laid out what we need to do.
225 00:27:49.360 ⇒ 00:27:50.020 Robert Tseng: I don’t know.
226 00:27:50.020 ⇒ 00:27:54.010 Josh : It’s a little bit deeper@firstst Pass.
227 00:27:57.180 ⇒ 00:28:01.240 Robert Tseng: Okay, I I’m not sure.
228 00:28:03.860 ⇒ 00:28:10.149 Josh : That one. I wanna make sure we’re getting because those guys have a fire lit under their ass right now. And I wanna make sure that.
229 00:28:11.386 ⇒ 00:28:15.899 Josh : Right? Okay, yeah, I’ll I’ll I’ll talk to Danny today.
230 00:28:17.410 ⇒ 00:28:22.179 Josh : Cool, man, cool, cool thanks. Guys.
231 00:28:22.660 ⇒ 00:28:23.320 Robert Tseng: Okay.
232 00:28:24.260 ⇒ 00:28:24.990 Robert Tseng: Yeah.