Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-05-12 Meeting participants: Annie Yu, Demilade Agboola, Robert Tseng, Josh, Rob, Awaish Kumar
WEBVTT
1 00:00:20.390 ⇒ 00:00:22.299 Robert Tseng: Let’s do testing, testing.
2 00:00:49.710 ⇒ 00:00:51.360 rob: Morning, Robert.
3 00:00:53.350 ⇒ 00:00:54.780 Robert Tseng: Hey, Rob! How’s it going.
4 00:00:55.610 ⇒ 00:00:56.760 rob: Good! How are you?
5 00:00:57.620 ⇒ 00:00:58.380 Robert Tseng: Good.
6 00:01:01.420 ⇒ 00:01:03.460 rob: Did you play some pickleball over the weekend.
7 00:01:03.610 ⇒ 00:01:05.698 Robert Tseng: I I did not.
8 00:01:06.410 ⇒ 00:01:08.299 Robert Tseng: It’s been hard finding time to
9 00:01:08.700 ⇒ 00:01:21.780 Robert Tseng: place or final place to places when we do the city, but I’m I’m changing things up like I can’t do too many things. I like rock climbing, too. But I’ve made the decision. I’m gonna put that aside and I’ll play pickleball.
10 00:01:21.950 ⇒ 00:01:23.229 Robert Tseng: Yeah, so probably.
11 00:01:23.230 ⇒ 00:01:24.220 rob: Decision.
12 00:01:24.220 ⇒ 00:01:30.590 Robert Tseng: I’ll I’ll keep climbing until my membership is up around the month, and then starting in the summer, I’ll be. I’ll be playing pickleball.
13 00:01:30.750 ⇒ 00:01:32.230 rob: Are you in New York City.
14 00:01:32.400 ⇒ 00:01:33.080 Robert Tseng: I am.
15 00:01:33.590 ⇒ 00:01:35.840 rob: Dude that’s awesome like Manhattan.
16 00:01:36.350 ⇒ 00:01:37.909 Robert Tseng: Yeah. Manhattan, yeah.
17 00:01:37.910 ⇒ 00:01:38.959 rob: That is awesome.
18 00:01:39.370 ⇒ 00:01:39.980 rob: Yeah.
19 00:01:39.980 ⇒ 00:01:48.269 Robert Tseng: It’s been a it’s been a good area. I recently moved here. I was in Jersey City before, so just moved into the city like towards the
20 00:01:48.910 ⇒ 00:01:53.246 Robert Tseng: end of March. I guess so. It’s been not even 2 months yet.
21 00:01:54.300 ⇒ 00:01:55.709 rob: Oh, man, that’s awesome!
22 00:01:56.160 ⇒ 00:01:56.930 Robert Tseng: Yeah.
23 00:01:59.570 ⇒ 00:02:01.090 Robert Tseng: Hello. Team.
24 00:02:04.130 ⇒ 00:02:05.190 Annie Yu: Hello!
25 00:02:07.770 ⇒ 00:02:14.420 Robert Tseng: Hey? Well, Rob, we’re not. We’re not. We don’t have anything like for to kind of tell kind of.
26 00:02:14.540 ⇒ 00:02:18.460 Robert Tseng: I don’t have anything I’m at. I’m waiting on for you. I think I’m just gonna
27 00:02:18.680 ⇒ 00:02:24.290 Robert Tseng: we’re kind of doing some planning for the week. And then, yeah. So.
28 00:02:24.290 ⇒ 00:02:29.109 rob: And I think I mentioned it on Friday. But that circle thing
29 00:02:29.670 ⇒ 00:02:39.809 rob: I’ve got everything I need to do that. So she just wants, like a 1 time data dump for now. But then they want it in tableau. So.
30 00:02:39.810 ⇒ 00:02:42.099 Robert Tseng: Circles the community thing.
31 00:02:42.240 ⇒ 00:02:43.180 Robert Tseng: Okay?
32 00:02:43.180 ⇒ 00:02:43.920 rob: Yeah.
33 00:02:44.170 ⇒ 00:02:45.499 Robert Tseng: What does the data look like.
34 00:02:45.750 ⇒ 00:02:56.289 rob: Pretty much what I think we should do instead of like, I, I just have all the email addresses, and I’m matching it up on the order details to the customers that way.
35 00:02:56.290 ⇒ 00:02:56.750 Robert Tseng: Okay.
36 00:02:56.750 ⇒ 00:03:00.095 rob: I think we should just add it as a flag on
37 00:03:00.640 ⇒ 00:03:08.589 rob: in the database, like maybe a flag on when they joined, and and a Boolean on whether they’re a circle member or not.
38 00:03:08.780 ⇒ 00:03:12.889 Robert Tseng: Okay, got it. You’re just you’re just
39 00:03:13.020 ⇒ 00:03:15.070 Robert Tseng: how are you getting that data out right now?
40 00:03:16.030 ⇒ 00:03:18.610 rob: Just from the Api circles. Api.
41 00:03:18.610 ⇒ 00:03:19.440 Robert Tseng: Oh, okay.
42 00:03:20.170 ⇒ 00:03:22.049 rob: Bring yeah into bigquery.
43 00:03:23.300 ⇒ 00:03:29.440 Robert Tseng: Alright. Well, I mean, if you’re already setting up that wait! Are you setting it up through segment, or how are you bringing it in.
44 00:03:30.370 ⇒ 00:03:33.549 rob: No, not through segment. Just directly through the Api.
45 00:03:33.550 ⇒ 00:03:35.380 Robert Tseng: Okay, cool. I mean that works.
46 00:03:35.930 ⇒ 00:03:50.000 rob: Yeah. Yeah. So I think it’ll be easy to just add that again, the sign update, because sometimes they wanna know, like they were customer before circle like? Did they actually purchase more after joining like.
47 00:03:50.000 ⇒ 00:03:50.850 Robert Tseng: Yeah, yeah.
48 00:03:50.850 ⇒ 00:03:58.270 rob: Engagement increase, which it probably does. But so that’s why I think we should add the date, and and then the Boolean, as well.
49 00:03:58.270 ⇒ 00:04:04.489 Robert Tseng: Cool. Yeah, I mean, I think these are 2 fields that we can add to like our dim. We call it dim, like a dim customers model right now.
50 00:04:04.490 ⇒ 00:04:09.350 rob: Exactly. Yeah. Okay. Okay. Alright, man, I’ll get back to you on that. Okay, see? Ya.
51 00:04:09.350 ⇒ 00:04:10.280 Robert Tseng: Alright! Thanks, Rob!
52 00:04:10.280 ⇒ 00:04:10.800 rob: Bye.
53 00:04:13.600 ⇒ 00:04:27.089 Robert Tseng: Okay, I guess. I sent a couple of messages in in slack so yeah, I mean, I think, the way I want to spend the time for our stand ups moving forward. I mean, I guess I’ll I’ll say 2 things.
54 00:04:28.770 ⇒ 00:04:47.550 Robert Tseng: But yeah, I just want to shorten the amount of time we’re taking to, just like, you know, put updates on tickets so as much as like you guys can help with that with the ones that you’ve already assigned to. I think that’d be a better use of time. And then, yeah, I really want, like, kind of everyone here to be thinking more like
55 00:04:48.490 ⇒ 00:04:55.749 Robert Tseng: my, how what you’re working on is really driving towards some of these key objectives that I’ve
56 00:04:56.292 ⇒ 00:05:00.820 Robert Tseng: kind of outlined out in the Google, Doc, that I was asking you to review. So
57 00:05:01.460 ⇒ 00:05:06.070 Robert Tseng: yeah, I think for today’s planning session, I think would be great if we could.
58 00:05:07.070 ⇒ 00:05:11.896 Robert Tseng: Yeah, I’m just gonna open up the the doc. We’re just gonna spend time there. That’s all right. And
59 00:05:12.350 ⇒ 00:05:15.270 Robert Tseng: I guess, did everyone get a chance to review it at this point?
60 00:05:18.280 ⇒ 00:05:19.050 Annie Yu: Yes.
61 00:05:19.210 ⇒ 00:05:19.850 Demilade Agboola: Okay.
62 00:05:19.850 ⇒ 00:05:21.410 Awaish Kumar: Yeah, we have that info.
63 00:05:21.760 ⇒ 00:05:22.780 Robert Tseng: For race.
64 00:05:26.510 ⇒ 00:05:32.394 Robert Tseng: cool. So yeah, I mean, obviously, there’s stuff that’s like, kind of still floating around. But we’ll we’ll get to it when we do.
65 00:05:33.430 ⇒ 00:05:34.439 Robert Tseng: yeah, I think
66 00:05:34.730 ⇒ 00:05:50.350 Robert Tseng: I’ll just kind of talk through. And I want I want to take any questions, especially because I’ve got to be aligning our tickets more towards these objectives, less like supporting marketing, less product. Like we’re not. It’s it’s not really that useful for us to kind of
67 00:05:51.000 ⇒ 00:05:58.330 Robert Tseng: set like separate our work by function. I think just by nature everything is going to be cross, functional, kind of moving forward.
68 00:05:58.863 ⇒ 00:06:01.429 Robert Tseng: And so I think even the way that, like, I’m gonna be
69 00:06:02.190 ⇒ 00:06:09.249 Robert Tseng: kind of grouping tickets under projects and breaking it down. It’s all gonna kind of be more aligned with this approach. So
70 00:06:09.350 ⇒ 00:06:18.030 Robert Tseng: I think this one is a good one to start with with the patient lifecycle plan, profitability, initiative. We’ve already kind of like gotten the ball rolling there with
71 00:06:18.470 ⇒ 00:06:36.090 Robert Tseng: like, I guess Andy worked on a query with me that I was like, kind of getting Jonah. Who’s the Cfo that or every yeah, like a cut of a cut of data for him to look at patient lifecycle right now. But that’s really just phase one right? That’s just like us putting together
72 00:06:36.686 ⇒ 00:06:48.850 Robert Tseng: like a table for him. We haven’t even turned that into a patient model like, I don’t really think we have a patient lifecycle model right now. So there’s like a couple of things that need to happen like downstream for that.
73 00:06:48.990 ⇒ 00:07:02.499 Robert Tseng: You know, we’re figuring out how to define active patients. It’s pretty rudimentary right now. It’s just like any purchase product in the past 6 months. But there’s gonna be more nuance to it later on. I don’t actually think that that’s a
74 00:07:02.990 ⇒ 00:07:07.640 Robert Tseng: you know, especially if we’re gonna start tracking more like subscription
75 00:07:08.300 ⇒ 00:07:26.859 Robert Tseng: based metrics like an active customer is not someone that’s been active the past 6 months, right? We have to think about like, what are the different customer statuses? Right? There’s active. There’s there’s dormant. There’s maybe, like maybe even churn or pause, or whatever like there’s we have to think about what those categories are.
76 00:07:27.520 ⇒ 00:07:40.720 Robert Tseng: I think we’ve talked about it at a high level before, but really starting to like, put, I kind of plan that out now in our models. So the next time that Jenna asks like a follow up question. We have, like all the different.
77 00:07:41.940 ⇒ 00:07:46.089 Robert Tseng: because, like patient status segments already kind of like mapped out right?
78 00:07:46.230 ⇒ 00:07:50.719 Robert Tseng: So that’s kind of where this patient lifecycle mapping kind of like outlined here is
79 00:07:52.150 ⇒ 00:07:57.939 Robert Tseng: so obviously there’s like a few we already have, like a bunch of this data. But there will be some
80 00:07:58.050 ⇒ 00:07:59.740 Robert Tseng: calculated
81 00:08:00.180 ⇒ 00:08:09.439 Robert Tseng: like fields that we’ll have to. We’ll have to put in here. So I’m just gonna pause there. I want you guys to like, really kind of give me your your take after reviewing this like.
82 00:08:09.980 ⇒ 00:08:24.419 Robert Tseng: yeah, this is, make sense like, what do you? What do you think we need where we need to emphasize like, you know, help kind of help me fill in the details here. As we’re as we’re starting to kind of think about the project. This in in this way.
83 00:08:26.110 ⇒ 00:08:28.989 Robert Tseng: or if you have any questions like, let’s let’s let’s take that too.
84 00:08:35.180 ⇒ 00:08:54.440 Annie Yu: One question I do have is, and it’s not just specific for this part, but for all different other parts. Is there like maybe like a Poc from Eden side that we can ask question more like business related. I asked this because we’re looking at like let’s say personalized versus come
85 00:08:54.500 ⇒ 00:09:10.520 Annie Yu: commercial. I wanna know who can influence customers to make that conversion, is it? Pharmacy is a provider. And so so like things like these, I think, will be helpful to have someone that we can ask about just more about like the business context.
86 00:09:11.100 ⇒ 00:09:19.850 Robert Tseng: Yeah, I mean, I think Josh joins these calls occasionally, and you know, that’s that’s I think it’d be good to just ask him directly. We’re all in the analytics channel. So.
87 00:09:19.850 ⇒ 00:09:20.200 Josh : I.
88 00:09:20.200 ⇒ 00:09:21.300 Robert Tseng: I think if you just.
89 00:09:21.300 ⇒ 00:09:23.879 Josh : Anytime. You need me. Just let me know.
90 00:09:25.670 ⇒ 00:09:33.989 Robert Tseng: Okay, yeah. So I think, like the thing, you should just add Josh in the Channel, and just ask your question, and he’ll point you to the right person.
91 00:09:35.260 ⇒ 00:09:36.000 Josh : Okay, cool.
92 00:09:36.000 ⇒ 00:09:37.880 Josh : I’ll just answer it.
93 00:09:42.780 ⇒ 00:09:47.769 Robert Tseng: Okay, then a lot of you had unmuted earlier. Did you want to say something bad just so far.
94 00:09:47.770 ⇒ 00:09:57.679 Demilade Agboola: Yeah, I just wanted to say that like, no, I’m definitely in line with this sort of like, forward approach to this. And yeah, just been able to on earth
95 00:09:57.800 ⇒ 00:09:59.019 Demilade Agboola: sets in like.
96 00:09:59.823 ⇒ 00:10:07.730 Demilade Agboola: help define things like active patients and being able to help the Aiden team be proactive with this analysis and being able to
97 00:10:08.700 ⇒ 00:10:16.709 Demilade Agboola: make faster decisions based before the the events have actually occurred, is something I’m definitely on board with. So yeah.
98 00:10:16.960 ⇒ 00:10:25.740 Robert Tseng: Okay? Great. Yeah. I mean, just like another mental model. You think about it like this is shifting more towards like a forward deployment kind of approach if you want to call it that way.
99 00:10:26.467 ⇒ 00:10:49.779 Robert Tseng: Yeah. Whereas before we were just viewing kind of the reporting work is just like building the scaffolding to like kind of partner with these, with the different functions, like, yeah, we’re kind of touching everyone’s business at this point. But then, like, now, like we shouldn’t hold ourselves back to just being like, Oh, yeah. Well, we’re only limited to one view of the business like we have. We have the, you know the privilege of being able to see
100 00:10:49.940 ⇒ 00:10:58.444 Robert Tseng: across the the business, and we can influence like kind of big, like, like cross functional narratives like this like?
101 00:10:59.330 ⇒ 00:11:12.499 Robert Tseng: right, I think the example that I like to talk about would be like the whole, like Zendesk when we, when we, when when member, when patient experience and pharmacy operations were 2 separate teams before.
102 00:11:13.000 ⇒ 00:11:17.420 Robert Tseng: Like, you know, they only view to like very limited
103 00:11:17.530 ⇒ 00:11:22.370 Robert Tseng: kind of like windows into the entire patient lifecycle right
104 00:11:22.580 ⇒ 00:11:41.169 Robert Tseng: on the customer experience side like they. Only you only look at like post purchase tickets, and it’s just like a view of like tickets, but doesn’t really connect it to like the entire like order, life cycle. Even the pharmacy operations was only looking at the order lifecycle we had never really seen, like the view of the business, from
105 00:11:41.410 ⇒ 00:11:51.360 Robert Tseng: from the patient’s perspective of like when they make that 1st transaction to when they receive, receive the order, and so like, we have, yeah, like, we’re, we’re just expanding kind of
106 00:11:52.810 ⇒ 00:12:00.080 Robert Tseng: the understanding of the life cycle. You know. No, there is no team that really owns this currently. And so
107 00:12:00.630 ⇒ 00:12:11.520 Robert Tseng: I think this is like the area where we’re truly gonna be able to get like customer 360 level like lifecycle reporting, if we can really like execute on this. Well, so
108 00:12:12.115 ⇒ 00:12:38.749 Robert Tseng: yeah, I mean, there’s a couple of things that we already have queued up that are already influencing this. So it’s not like the ticketing format is gonna change. I just, you know, when we do discuss kind of like the work that you’re doing. I’m just gonna be like emphasizing, like, like, how it rolls up into into into these objectives and the metrics that are. These are the levers that we get to move, that we get to influence to say like, Hey, if we define
109 00:12:38.800 ⇒ 00:12:42.172 Robert Tseng: active patients this way, and we’re able to, you know,
110 00:12:42.950 ⇒ 00:12:57.469 Robert Tseng: recover like turn more dormant customers and keep them. Keep them active, like, you know, influence, influence these things. Then we can start to quantify the impact of the decisions that we’re that we’re we’re influencing on. So I think this is kind of like, how.
111 00:12:57.910 ⇒ 00:13:01.000 Robert Tseng: anyway, we’ve we’ve been running this more with some of the more
112 00:13:01.150 ⇒ 00:13:03.969 Robert Tseng: other, like some other projects as well. But
113 00:13:04.430 ⇒ 00:13:23.260 Robert Tseng: yeah, so I mean, you know the insights you can ignore that these are just like samples or whatever like. I don’t. Things are. These are not proven out. The recommendations also, like it’s just. You know. I I will probably be more involved in shaping the narrative here. And I mean, I think I trust you guys that we’re gonna be able to do all the supplementary stuff for that.
114 00:13:24.180 ⇒ 00:13:28.620 Robert Tseng: But yeah, so I think that’s that’s the 1st one. Because that’s just the most
115 00:13:28.750 ⇒ 00:13:35.666 Robert Tseng: problem one. But I guess, are there any specific initiatives that you guys are interested in double clicking into
116 00:13:36.290 ⇒ 00:13:39.040 Robert Tseng: we want. And we want to talk about more broadly, like.
117 00:13:39.330 ⇒ 00:13:45.699 Robert Tseng: I don’t think these are necessarily like arranged in like order of priority. I think
118 00:13:45.810 ⇒ 00:13:51.650 Robert Tseng: I kind of think they’re all they can all be important. I think some will be influenced by
119 00:13:51.840 ⇒ 00:13:53.590 Robert Tseng: the urgency of
120 00:13:53.920 ⇒ 00:14:07.170 Robert Tseng: other initiatives that are happening in the business, so, like some of these priorities, will shuffle back and forth. But, like, I think, in general, like anything that we’re doing will probably roll up into one of these like objectives.
121 00:14:13.304 ⇒ 00:14:19.400 Annie Yu: One question about. I do see there are competitor benchmarking in
122 00:14:19.570 ⇒ 00:14:25.850 Annie Yu: the payback optimization as well as skew portfolio. So for that part.
123 00:14:26.190 ⇒ 00:14:34.430 Annie Yu: how will we implement that? We like leverage things like Circana? Or what’s is there like a standard way to do that?
124 00:14:35.369 ⇒ 00:14:54.740 Robert Tseng: Yeah, I mean, I would say, like any like market research or custom, like, kind of competitive research stuff, like, I think that’s I mean, we don’t. We don’t like. I would probably need to sign off to do that. I think everything that we’ve been doing is using internal data right now. And I think we should be thinking about like, yeah, like, how do we
125 00:14:56.310 ⇒ 00:15:04.335 Robert Tseng: do more external benchmarking as well? So like, I I think sometimes internal data can be like a like a misleading rabbit hole. But
126 00:15:05.120 ⇒ 00:15:16.450 Robert Tseng: but yeah, I think that’s yeah. I I don’t. I don’t actually know what Circana is. But, like I, we haven’t, really. We haven’t invested my any resources into doing like external benchmarking.
127 00:15:17.740 ⇒ 00:15:19.140 Annie Yu: Okay, got it.
128 00:15:19.420 ⇒ 00:15:21.849 Annie Yu: And just one more question here.
129 00:15:21.850 ⇒ 00:15:22.670 Robert Tseng: Yeah, please.
130 00:15:22.670 ⇒ 00:15:36.540 Annie Yu: More so around skew portfolio. I think I just have a broader question. Is that, do we ever, I guess, from Eden’s side we ever look at kind of inventory related data like sell through rate
131 00:15:36.760 ⇒ 00:15:40.410 Annie Yu: to help identify what’s working what’s not.
132 00:15:44.323 ⇒ 00:15:52.320 Robert Tseng: I guess, Josh, if you if you were listening like I if you could kind of answer that question that 1st that’d be helpful.
133 00:15:53.600 ⇒ 00:15:55.020 Josh : Sorry. Can you repeat it?
134 00:15:56.301 ⇒ 00:16:00.309 Annie Yu: Do we look at any inventory? Related data.
135 00:16:00.440 ⇒ 00:16:02.639 Annie Yu: it’s say, like a sell through rate.
136 00:16:03.030 ⇒ 00:16:08.540 Josh : Not today. Once we own the pharmacy, we will be, but not today.
137 00:16:09.110 ⇒ 00:16:19.250 Robert Tseng: Yeah, so what’s with the like owning the pharmacy thing? Like, how? What’s the kind of how that? How’s that initiative? Like, I feel like, Yeah, I don’t really. I don’t really know what’s going on. There.
138 00:16:20.704 ⇒ 00:16:23.439 Josh : Yeah. So we’re going through due diligence right now.
139 00:16:25.040 ⇒ 00:16:28.129 Josh : Heavy analysis on the audit of.
140 00:16:29.050 ⇒ 00:16:33.449 Josh : you know, financials and backgrounds and all sorts of other stuff.
141 00:16:34.050 ⇒ 00:16:38.210 Josh : If all things go well, we should close at some point in June.
142 00:16:40.130 ⇒ 00:16:45.669 Josh : and they have their own systems like, you know, they have their own everything.
143 00:16:46.550 ⇒ 00:16:51.590 Josh : It was pretty open with an Api to get data. They use a decent system.
144 00:16:53.080 ⇒ 00:16:57.896 Josh : So we’ll be able to get like some very basic elements of things mapped in pretty quickly.
145 00:16:58.520 ⇒ 00:17:02.749 Josh : but yeah, I don’t know if there’s like any specific questions.
146 00:17:03.550 ⇒ 00:17:07.709 Robert Tseng: I mean is the goal to I mean.
147 00:17:08.849 ⇒ 00:17:13.739 Robert Tseng: I I guess you’ll still have other pharmacies that are processing orders.
148 00:17:14.349 ⇒ 00:17:14.839 Robert Tseng: Yeah.
149 00:17:15.139 ⇒ 00:17:20.558 Josh : It’s gonna take like 8 to 10 months to get all the licensing and all the other stuff, all fully.
150 00:17:20.829 ⇒ 00:17:26.479 Robert Tseng: Okay, it’s just really just get they have, like a vertically integrated like supply chain at some point.
151 00:17:27.540 ⇒ 00:17:31.416 Josh : Exactly. We wanna get that vertical integration done sooner rather than later.
152 00:17:33.220 ⇒ 00:17:50.039 Robert Tseng: Got it? Yeah. So I mean any. And if that’s the case, then yeah, sell through rates and stuff like that are not most important. However, like, you know what we’re doing on the vial size getting that level of granularity. Right? We went from like products to quantities.
153 00:17:50.380 ⇒ 00:17:55.932 Robert Tseng: plan types. And now we’re drilling into like that vial size, like level
154 00:17:56.960 ⇒ 00:18:05.989 Robert Tseng: kind of granular like that helps with pharmacy forecasting. And obviously, since a lot of the fulfillment is happening through, or all of it is happening through 3rd party right now.
155 00:18:06.700 ⇒ 00:18:08.900 Robert Tseng: like, yeah, getting
156 00:18:09.050 ⇒ 00:18:19.630 Robert Tseng: more accurate forecast is is important, for for you know, both operations and finance to be able to, you know. Ex know what to expect. You know.
157 00:18:20.030 ⇒ 00:18:22.810 Robert Tseng: you know, in in the, in the coming months. So.
158 00:18:23.720 ⇒ 00:18:31.110 Robert Tseng: yeah. Like, if anything, we we we do have an understanding of how fast we have some.
159 00:18:31.420 ⇒ 00:18:35.069 Robert Tseng: We have some data, obviously, order level stuff to kind of
160 00:18:35.490 ⇒ 00:18:55.949 Robert Tseng: benchmark kind of demand and but yeah, I think there isn’t really like a clear view of like when we launch these new skews like, what do we expect like, what’s what do we think the incremental incremental growth is as is going to be and which which products are cannibalizing on each other. So like there’s there’s not really like a very robust like
161 00:18:56.850 ⇒ 00:18:58.519 Robert Tseng: forecasting kind of.
162 00:18:59.080 ⇒ 00:19:05.679 Robert Tseng: you know, stuff anything like that going on right now, which I think is part of this skew portfolio diversification. So
163 00:19:06.890 ⇒ 00:19:17.549 Robert Tseng: I mean, we can talk more about it. I I know that you’ve been touching more of the marketing data, more than kind of viewing it from like a product like development or product insights. Perspective.
164 00:19:18.600 ⇒ 00:19:19.400 Robert Tseng: Yeah.
165 00:19:28.830 ⇒ 00:19:31.549 Robert Tseng: okay, go ahead.
166 00:19:32.010 ⇒ 00:19:38.455 Josh : No, yeah, we’ll as that stuff emerges. Obviously, keep you guys up to speed.
167 00:19:40.070 ⇒ 00:19:40.690 Robert Tseng: Yeah.
168 00:19:42.380 ⇒ 00:19:53.879 Robert Tseng: So I think, if anything. So we have this ongoing. I mean, I don’t think this is always happening. I think the Cro stuff is probably the most urgent. From what I’ve seen between that and payback optimization.
169 00:19:54.320 ⇒ 00:19:58.690 Robert Tseng: the Cr work, I mean a wish now that you and I are kind of.
170 00:19:59.090 ⇒ 00:20:14.200 Josh : I think, also, just making sure our existing dashes are continuing to work. So like the the with these new product launches, did you have a chance to talk, I know, with Rebecca on a bunch of stuff for her stuff. But then, also.
171 00:20:15.020 ⇒ 00:20:24.120 Josh : like for existing dashboards. Specifically, I’m not like for Josh, one like I kinda have to explain like a little bit
172 00:20:24.470 ⇒ 00:20:30.579 Josh : about like some of the tweaks. So we’re selling like programs that can be a blend of multiple
173 00:20:30.970 ⇒ 00:20:40.780 Josh : box. And so I’m like trying to understand how we’re gonna be able to like display that correctly
174 00:20:41.290 ⇒ 00:20:47.479 Josh : cause we should have like a quote unquote kitted purchase option that we should include as the line item.
175 00:20:48.430 ⇒ 00:20:52.283 Josh : So if you look at like that image that I’m that you’re showing right there.
176 00:20:52.950 ⇒ 00:20:55.340 Josh : So it’s like, if you get
177 00:20:56.030 ⇒ 00:21:22.849 Josh : like the topical estrogen plus progesterone that’s like one kit. If you get the estrogen progesterone and then vaginal estrogen that’s like a second kit. And then if you just get topical estrogen, then that’s like a 3rd kit like a P. 0 kit. You see what I’m saying so. It’s like, like, you can have Td estrogen in all 3. But we’re not including it as like an individual product.
178 00:21:23.020 ⇒ 00:21:26.859 Josh : and that doesn’t help us understand, like what the sale actually is.
179 00:21:31.920 ⇒ 00:21:38.000 Robert Tseng: Okay, so sounds like, we need like more of a breakout in the for jobs report. Now, like.
180 00:21:38.220 ⇒ 00:21:46.990 Robert Tseng: obviously, this is just like roll up to the product name, but you want to see it broken up by Kit now, or kind of like, what’s the hierarchy that you want to see here?
181 00:21:47.490 ⇒ 00:22:03.649 Josh : Yeah, I think just simply calling it like, you know, like how we’re gonna go with like these med kits to like breaking med kits out and breaking. You know these like Hrt kits, almost like, you know, calling it like, Get one kit, 2 kit, 3 for each one of these things, and just.
182 00:22:03.650 ⇒ 00:22:06.719 Robert Tseng: And then within that you get to see which products are within each kit.
183 00:22:06.720 ⇒ 00:22:08.430 Josh : We? Yeah, we’ll know. We’ll know what.
184 00:22:08.430 ⇒ 00:22:09.310 Robert Tseng: Oh, you’re not okay.
185 00:22:09.310 ⇒ 00:22:35.549 Josh : Yeah, yeah. As long as you have like a key somewhere for me to know, like you don’t have to put it in the report. I just want to know, like Kit one kit, 2, Kit 3 is performing like this. My anticipation is that the majority of people are not going to be on that P. 0 kit. It’ll be like very rare. So if I start seeing like a ton of people getting that I’m gonna be like what’s going on. They’ll like alert me. You know what I mean. My assumption is that most people be on that top, Kit.
186 00:22:36.180 ⇒ 00:22:36.790 Robert Tseng: Okay.
187 00:22:37.290 ⇒ 00:22:52.419 Robert Tseng: Well, I mean, if everything else here is kind of pro, I mean, I’m sure maybe Kit doesn’t make sense because it’s not a drug type. But like, maybe we just take Kit and we split it out to a separate table. That’s like broken up by Kit. Or do you want to just kind of you. Wanna.
188 00:22:52.440 ⇒ 00:22:54.910 Josh : Literally just call it like you can call it
189 00:22:55.140 ⇒ 00:23:08.309 Josh : like Hrt. Kit. One Hrt. Kit, 2 Hrt. Kit. 3, and then same thing with like. And then same thing with med Kit, like, you know, like I think, for now you can leave it as just like Med Kit.
190 00:23:08.630 ⇒ 00:23:18.120 Josh : or you could. Honestly, if you have a way truthfully on this on this level of the report, if you had a way to just be like Hrt. Kit
191 00:23:18.420 ⇒ 00:23:21.690 Josh : female or like female Hrt. Kit.
192 00:23:21.940 ⇒ 00:23:26.409 Josh : for now I cause I don’t know how exactly we’re gonna scale this up. So I don’t. I’m I’m trying to.
193 00:23:26.680 ⇒ 00:23:31.562 Josh : I’m trying to think in 2 places at once. You know what I mean for the future. So I’m not trying to give you bad info.
194 00:23:31.750 ⇒ 00:23:32.110 Josh : Yeah.
195 00:23:32.110 ⇒ 00:23:53.439 Josh : like I think that, for, like the simplest change, if you guys had some logic that’s like, Hey, if the purchase contains this and this, then it’s 1 sale of a med kit, if it can, of a Hrt. Kit for women. If it contains this, this and this, then it’s also a sale for a Hrt. Kit. If it only contains this. It’s a sale for an Hrt. Kit.
196 00:23:53.950 ⇒ 00:24:02.159 Josh : but it’s like following like those rules to then just have a single line item like you did for med Kit here, or just say like female Hrt. Kit.
197 00:24:03.848 ⇒ 00:24:09.259 Demilade Agboola: Do we have the breakdown for, like female and like, you know, the different Hr tickets.
198 00:24:09.690 ⇒ 00:24:13.529 Josh : Yeah, I just sent a attached it, and and Robert sharing it.
199 00:24:13.700 ⇒ 00:24:14.960 Demilade Agboola: Okay, gotcha.
200 00:24:15.967 ⇒ 00:24:18.409 Demilade Agboola: So which is female? p. 1.
201 00:24:18.410 ⇒ 00:24:23.280 Josh : All of them. All of them are female. We’re not doing male yet. We’ll be doing male here shortly.
202 00:24:24.050 ⇒ 00:24:25.858 Demilade Agboola: Okay, cause. I know.
203 00:24:26.310 ⇒ 00:24:26.890 Josh : Oh!
204 00:24:27.120 ⇒ 00:24:28.460 Demilade Agboola: Some of the new.
205 00:24:28.880 ⇒ 00:24:34.659 Demilade Agboola: like the newer products that have come in. I know they’ve been said to be Hrt. Kids.
206 00:24:34.780 ⇒ 00:24:40.469 Demilade Agboola: and I should roll them up to Hr kits and Hrt kids levels, which which I plan to do today.
207 00:24:41.480 ⇒ 00:24:48.290 Demilade Agboola: So I don’t know if that would work, or if you want us to just kind of make.
208 00:24:48.290 ⇒ 00:24:56.239 Josh : Yeah, if you do. Hrt, kids, it has to say female, though, because these 3 that you’re seeing right here like we’re only launched right now with female kids.
209 00:24:57.490 ⇒ 00:24:59.070 Demilade Agboola: Okay. Alright!
210 00:24:59.070 ⇒ 00:25:03.859 Josh : Mail will come, probably in the next couple weeks. I’m going to be doing mail. The next products that are coming
211 00:25:03.990 ⇒ 00:25:10.609 Josh : is going to be male male Hrt, which is just like in Clomiphene. It’s just like a single drug.
212 00:25:11.400 ⇒ 00:25:16.860 Josh : And then we’ll have another one, which is a family of Sglt, 2 inhibitors.
213 00:25:17.750 ⇒ 00:25:18.449 Demilade Agboola: Oh, okay.
214 00:25:19.390 ⇒ 00:25:25.570 Demilade Agboola: alright sounds good. So I’ll do that. And also you want us to split the medkit into like the different like, med kit. 1, 2, 3, all 2, 5.
215 00:25:26.139 ⇒ 00:25:43.859 Josh : I think, for the for Josh report. Honestly, let’s I’m just thinking about it out loud. You guys tell me if you feel differently. But I think maybe we just keep that one simple, like, how you did. It’s like, Hey, med kits? Total number sales. And then for the female Hrt, it’s just total number of sales like, you guys are doing the counting of it on the back end
216 00:25:44.090 ⇒ 00:25:46.399 Josh : and just like totaling it up to the high level.
217 00:25:47.290 ⇒ 00:25:51.670 Josh : Brock, yeah.
218 00:25:51.670 ⇒ 00:25:52.409 Demilade Agboola: Sounds good.
219 00:25:54.360 ⇒ 00:25:54.960 Robert Tseng: Okay.
220 00:25:58.520 ⇒ 00:26:01.509 Josh : Do you like my? Do you like my train table, Robert?
221 00:26:01.690 ⇒ 00:26:03.500 Josh : You like my train table down there.
222 00:26:04.920 ⇒ 00:26:08.330 Robert Tseng: This. Oh, yeah.
223 00:26:08.330 ⇒ 00:26:13.983 Josh : We? We were working in my house, and so I had to like pull the whiteboard out in the kids nursery area.
224 00:26:19.860 ⇒ 00:26:20.700 Robert Tseng: Nice.
225 00:26:24.650 ⇒ 00:26:34.520 Robert Tseng: Okay, we’ll kind of oh, where was I? Okay.
226 00:26:34.840 ⇒ 00:26:47.539 Robert Tseng: yeah. So I mean, I think I just wanna call out so, wish I mean biggest priority for us this week is really just to finish up the Cro stuff. So you know, anything remaining on the mixed panel segment like
227 00:26:48.045 ⇒ 00:26:56.260 Robert Tseng: track. We’re, you know, we’re not using embeddables anymore. We’re just using the existing data layer kind of reconfiguring the events with the date with the
228 00:26:56.420 ⇒ 00:26:59.020 Robert Tseng: event plan that I designed last week.
229 00:27:00.020 ⇒ 00:27:03.349 Robert Tseng: Yeah, we’re just gonna update that. And that should you know. Then that’s that’s good.
230 00:27:03.750 ⇒ 00:27:09.249 Robert Tseng: Pretty much. Give us the final level drill down that that they need.
231 00:27:09.540 ⇒ 00:27:10.490 Robert Tseng: So
232 00:27:10.850 ⇒ 00:27:22.670 Robert Tseng: I know that you were investigating that. We’ll we’ll we’ll stay close on that, because I think we’re we’re kind of working parallel there. But yeah, I think this is this, will. This will be the easiest one to to knock out so.
233 00:27:22.670 ⇒ 00:27:25.909 Josh : The operation stuff. Did you get what you needed from Rebecca?
234 00:27:26.330 ⇒ 00:27:33.420 Robert Tseng: Yeah, Demo, you want to summarize kind of like what your takeaways are from the Rebecca side, and kind of how we’re how we’re tracking on that.
235 00:27:34.177 ⇒ 00:27:46.349 Demilade Agboola: So because part of the issues we’re having is like, Zack hasn’t actually sent us all the orders, like all the products. Sorry since, like a couple of weeks for a couple of weeks now.
236 00:27:46.720 ⇒ 00:27:48.470 Robert Tseng: They stopped doing the weekly product.
237 00:27:48.580 ⇒ 00:27:51.729 Robert Tseng: Send so, and we’ve been asking him. But.
238 00:27:52.430 ⇒ 00:27:55.530 Josh : He’s gotta add it. He’s gotta send it.
239 00:27:55.530 ⇒ 00:27:56.310 Robert Tseng: Yeah.
240 00:27:57.637 ⇒ 00:28:05.740 Demilade Agboola: And then I so what we’ve done is we’ve extracted a list of all orders that have been placed since the 1st of April.
241 00:28:06.325 ⇒ 00:28:14.624 Demilade Agboola: and I have sent that list to Rebecca and Christina, because they know which, like the valve sizes and the
242 00:28:15.290 ⇒ 00:28:31.680 Demilade Agboola: just like the personalized, whether it’s personalized or conventional, and they will be able to fill that data into that. And then I will be able to take that data back and map it to each of the orders, so I can identify, like the personalized orders as well as the file size for each of those orders.
243 00:28:33.290 ⇒ 00:28:42.359 Robert Tseng: Yeah. So basically, Rebecca, it’s on Rebecca to manually key in, like the personalized versus.
244 00:28:42.700 ⇒ 00:28:53.640 Robert Tseng: not personal. I always forget what the other word is, and and the and the file size on this product list that we already sent her on Friday. So once that gets added in, then we will have
245 00:28:54.060 ⇒ 00:29:02.529 Robert Tseng: all the way. We’ll have vile, vile, level quantities for every order.
246 00:29:04.700 ⇒ 00:29:12.167 Robert Tseng: and that will, I think that that kind of will answer the operational question, that questions that that
247 00:29:14.540 ⇒ 00:29:17.049 Robert Tseng: Rebecca has been been giving us
248 00:29:21.400 ⇒ 00:29:33.920 Robert Tseng: cool. Okay? Well, yeah, I mean, this is kind of it, I think. On me, like, yeah, we’re gonna kind of push on a couple of things. I know there’s some things in internal review. So just wanna call this out really quick before we hop off. So
249 00:29:34.050 ⇒ 00:29:41.400 Robert Tseng: one here, I think, Annie, we kind of wrap this up on Friday, but I haven’t actually set the newest model to
250 00:29:42.099 ⇒ 00:29:57.689 Robert Tseng: Jonah. So if it’s just this query, and I just do the full like, I know this is just a sample. I’ll do the full export and send it to him, if that’s all you you think I need. Then, like, yeah, I guess I just want to clarify. That is, that is that where we’re at. I just need to send that to him.
251 00:29:57.940 ⇒ 00:29:59.079 Annie Yu: Yeah, I think so.
252 00:29:59.620 ⇒ 00:30:02.901 Robert Tseng: Okay, cool. So I’ll do that. And then,
253 00:30:04.790 ⇒ 00:30:14.698 Robert Tseng: yeah, we are on with theme for marketing data. So, and the date formats have been fixed wish, so I think we should be able to finish that
254 00:30:15.670 ⇒ 00:30:17.109 Robert Tseng: rolling that up. And
255 00:30:17.230 ⇒ 00:30:23.849 Robert Tseng: I think just I think Annie was waiting on that for the final like mirror adjustment on Natasha’s dashboard.
256 00:30:25.970 ⇒ 00:30:32.240 Robert Tseng: Yeah, I mean, this is just the order events. We’re missing some stuff in web hooks. So I’m also going to be sending a
257 00:30:32.690 ⇒ 00:30:44.589 Robert Tseng: follow up to Zack. Ask on. Yeah, I think whether or not we can actually get with like intra doctor pharmacy, like statuses, or whatever.
258 00:30:46.550 ⇒ 00:31:01.390 Robert Tseng: Yeah, I think those are the main things that I’m gonna ship out like right after this call. And then we have some stuff that’s in flight. So anything we didn’t cover. Please, just like, update your ticket and like we can adjust it moving forward. But I’ll be bringing some new stuff into cycle as well.
259 00:31:02.130 ⇒ 00:31:04.760 Annie Yu: Can you repeat again about the mer?
260 00:31:05.060 ⇒ 00:31:07.350 Annie Yu: Is that model ready.
261 00:31:07.695 ⇒ 00:31:14.840 Robert Tseng: No, I believe a wish needs to update it now that the date are fixed right.
262 00:31:15.740 ⇒ 00:31:18.809 Awaish Kumar: It’s not I just ping the rob.
263 00:31:18.910 ⇒ 00:31:22.979 Awaish Kumar: Also, it’s a data like the
264 00:31:23.140 ⇒ 00:31:26.850 Awaish Kumar: the model is built by the basically.
265 00:31:27.090 ⇒ 00:31:29.530 Awaish Kumar: we are waiting on these dates
266 00:31:30.193 ⇒ 00:31:33.469 Awaish Kumar: to get to get validated. I just ping the robe about it.
267 00:31:33.850 ⇒ 00:31:38.439 Robert Tseng: Can we? Can we just take it on a wish, can you? Just, I feel like.
268 00:31:38.610 ⇒ 00:31:41.169 Robert Tseng: yeah, if we can just do it instead of Rob like, maybe it’s just.
269 00:31:41.170 ⇒ 00:31:49.730 Awaish Kumar: Yeah. But the the issue is that there are some dates I cannot decide, because, like, we have, like, maybe second of May, right?
270 00:31:50.530 ⇒ 00:31:55.940 Awaish Kumar: It’s a it’s 2, 5. What is which? One is a month, and which one is the date?
271 00:31:56.340 ⇒ 00:31:57.309 Awaish Kumar: I don’t know.
272 00:31:58.580 ⇒ 00:32:04.589 Robert Tseng: Oh, I see. Okay, yeah. Let’s just ping him in in our channel.
273 00:32:04.690 ⇒ 00:32:05.670 Robert Tseng: Yeah, he’s.
274 00:32:09.020 ⇒ 00:32:09.470 Awaish Kumar: Okay.
275 00:32:10.440 ⇒ 00:32:11.230 Robert Tseng: Yeah.
276 00:32:13.510 ⇒ 00:32:20.270 Robert Tseng: yeah, okay, I think that’s it. We have. We have stuff. We have enough work to kind of chase on today. And then we’ll.
277 00:32:21.020 ⇒ 00:32:27.090 Robert Tseng: yeah. I mean, this is, this is, gonna I’m gonna keep referencing this. We’re gonna keep refining it. But like, this is how I’m thinking about.
278 00:32:27.360 ⇒ 00:32:42.200 Robert Tseng: You know these are the questions we should be thinking about whenever we’re in client meetings and stuff like, you know. Make sure that you know I don’t expect us have all the context, like I’ve written out a bunch of questions that we should just keep, keep learning and figuring out how we should be defining this as a business. So.
279 00:32:44.530 ⇒ 00:32:48.860 Robert Tseng: okay, yeah, alright. Well, I think that’s it. Thanks. Everyone.
280 00:32:49.720 ⇒ 00:32:50.759 Annie Yu: Yeah. Thanks. Team.
281 00:32:50.760 ⇒ 00:32:52.020 Demilade Agboola: Thanks, bye.