Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-05-19 Meeting participants: Annie Yu, Demilade Agboola, Robert Tseng, Josh, Awaish Kumar
WEBVTT
1 00:00:03.860 ⇒ 00:00:06.030 Robert Tseng: Testing testing okay.
2 00:03:41.960 ⇒ 00:03:42.810 Demilade Agboola: Power, robots.
3 00:03:44.750 ⇒ 00:03:45.960 Robert Tseng: Hey, demodit!
4 00:03:49.160 ⇒ 00:03:50.420 Robert Tseng: How was your weekend.
5 00:03:51.892 ⇒ 00:04:03.210 Demilade Agboola: It was all right. Kind of like post grad celebrations. Kind of thing. Whether wasn’t the great, the greatest? But it was. It was fine, it was good. How was yours?
6 00:04:04.600 ⇒ 00:04:10.440 Robert Tseng: It was good weather here was good, so I was outside a lot. We had like a
7 00:04:10.610 ⇒ 00:04:19.140 Robert Tseng: food festival on my street. They closed down like 12 blocks. So it was
8 00:04:19.550 ⇒ 00:04:21.979 Robert Tseng: great. Yeah, it’s like a lot. It’s a lot of
9 00:04:22.320 ⇒ 00:04:33.809 Robert Tseng: interesting things to do on on my in my area. So. Yeah, I mean, we spontaneously went to watch ballet on Friday evening. And then.
10 00:04:34.140 ⇒ 00:04:38.109 Robert Tseng: yeah, just kinda walked around and and hung out in the city.
11 00:04:39.950 ⇒ 00:04:41.580 Demilade Agboola: Sounds like a lovely weekend.
12 00:04:42.040 ⇒ 00:04:42.850 Robert Tseng: Yeah.
13 00:04:43.960 ⇒ 00:04:44.900 Robert Tseng: Hey? Annie.
14 00:04:47.200 ⇒ 00:04:49.060 Annie Yu: Hello, Robert! I’m a lot of.
15 00:04:50.050 ⇒ 00:04:50.890 Demilade Agboola: Hello!
16 00:04:55.210 ⇒ 00:04:56.749 Robert Tseng: Alright. Well,
17 00:04:57.760 ⇒ 00:05:03.643 Robert Tseng: I I think we should get started. I think we have a lot to kind of cover today.
18 00:05:05.050 ⇒ 00:05:10.478 Robert Tseng: and then hopefully, it wear shorts because I have a big section for him.
19 00:05:11.240 ⇒ 00:05:12.980 Robert Tseng: Okay? So
20 00:05:14.930 ⇒ 00:05:21.820 Robert Tseng: yeah, I think 1st thing I wanna kind of start with is, I know I sent like these early morning messages. But
21 00:05:22.250 ⇒ 00:05:30.480 Robert Tseng: yeah, just, I assume a lot of you weren’t here on Friday. But we went through a couple just adjustments. You want to make kind of to help hopefully help this team.
22 00:05:30.964 ⇒ 00:05:39.940 Robert Tseng: Yeah, just smooth over some things moving forward. So, yeah, I mean, I I think just the expectation moving forward is that like
23 00:05:40.420 ⇒ 00:05:58.979 Robert Tseng: for the tickets that you guys are working on, you can everyone kind of leaves their own update, so I can drop in. When I do my reviews and be able to adjust deadlines or leave comments, or whatever I think that would just help me. So not asking you to. Pm, too much, I’m just asking to for for updates. So I don’t have to like, spend stand up time asking for that.
24 00:05:59.330 ⇒ 00:06:12.750 Robert Tseng: Yeah. And then I think we already do this. But I think, we were just talking about yeah, when we sometimes when we run into blockers on tickets. Seems like we just kind of wait until like the next morning. And you know, sometimes we’re using.
25 00:06:12.880 ⇒ 00:06:14.800 Robert Tseng: So I think just the
26 00:06:15.660 ⇒ 00:06:44.699 Robert Tseng: yeah, for for things that are urgent. Obviously, we wanna leave like a paper trail on the ticket. But then also, yeah, you know, tagging people raising directly in slack. That’s the fastest way to reach me, I think if you’re ever block on something on a ticket and you need me to. Yeah, respond right away. I think I’m in slack. I’m not really like grooming tickets more than like once or twice a day. So I think that’s that’d be helpful. So yeah, let’s I think that’ll help speed up the escalations as we do them.
27 00:06:44.900 ⇒ 00:07:00.090 Robert Tseng: And then, yeah, I think when you’re working on something, and it ends up being more than just what I’ve written out. Yeah, I feel free to just create new tickets and just like tag me in them. It doesn’t have to be that
28 00:07:00.340 ⇒ 00:07:06.752 Robert Tseng: built out. I think them a lot of did that last week. That’s it’s good. I think that’s that’s helpful for me to know.
29 00:07:07.260 ⇒ 00:07:08.720 Robert Tseng: yeah, like how?
30 00:07:08.940 ⇒ 00:07:21.670 Robert Tseng: Because at least I’ll pay. I pay pay attention to the stuff that I I need. I need to get done so. I think that that just that just helps me as well. So so nothing falls through the crack cracks on. If you’re
31 00:07:22.010 ⇒ 00:07:26.059 Robert Tseng: if one ticket doesn’t like kind of capture the full issue that you’re working on.
32 00:07:27.192 ⇒ 00:07:36.040 Robert Tseng: And then I think, also already kind of help with kind of stakeholder Sme escalations, I think, for now
33 00:07:36.730 ⇒ 00:07:48.309 Robert Tseng: you know, you can add me. But when I’m out for a few days next week, like you, just you can just add Josh in the in the analytics channel. But generally like, I think you guys know who are the regular people you’re talking to.
34 00:07:49.023 ⇒ 00:08:00.460 Robert Tseng: But I will also record, like one more loom just to kind of talk through all the different people, because there has been some reshuffling over the past few weeks. And so maybe there’s some confusion around that.
35 00:08:01.715 ⇒ 00:08:10.810 Robert Tseng: So yeah, I think that’s what I wanted to start with. And then, yeah, a couple of things, I think that are urgent, that I want to jump to right away just from what I’m seeing.
36 00:08:12.690 ⇒ 00:08:14.510 Robert Tseng: One is.
37 00:08:14.700 ⇒ 00:08:42.119 Robert Tseng: Yeah, I guess this is more relevant to Demo. So obviously stack fast. Didn’t give us what we wanted. I think the team is working around this by just like disregarding the bundles. I mean, I don’t know if Rebecca’s solution actually touches on what Bobby’s asking for. I think that doesn’t really address our treatment to orders mapping problems. So I mean, I I just created a new ticket and added you to it. But I appreciate if you could kind of
38 00:08:42.620 ⇒ 00:08:50.510 Robert Tseng: run run with that today. So yeah, if there’s any, yeah, let’s just talk through any anything that we need to clarify on, like, what what the next steps are.
39 00:08:51.800 ⇒ 00:09:01.719 Demilade Agboola: Yeah, I I did wonder what that would look like. So yeah, I will sync with Rebecca. And just just so that we’re ahead of the curve of whatever they do in Basque.
40 00:09:02.570 ⇒ 00:09:05.450 Robert Tseng: Yeah. So I mean, I think she, it will. Just
41 00:09:05.660 ⇒ 00:09:12.520 Robert Tseng: she’s basically just trying to break things down into the just like, force everything into product
42 00:09:12.960 ⇒ 00:09:32.230 Robert Tseng: yeah, just into the into the product object, I guess. But it doesn’t really help the order to treatment. Situation. Right? So like, I, I still think that we need. We need fast to to do something. But if we need, if if we can have a workaround like, I haven’t thought too deeply about what that would be. But
43 00:09:34.040 ⇒ 00:09:35.920 Robert Tseng: do you have any like initial thoughts.
44 00:09:38.352 ⇒ 00:09:44.790 Demilade Agboola: I mean, it doesn’t actually solve the orders to treatment. Potentially what i i i
45 00:09:46.550 ⇒ 00:09:51.490 Demilade Agboola: a high level solution that I’m thinking of is that for every user, id.
46 00:09:51.590 ⇒ 00:09:56.869 Demilade Agboola: we can kind of map similar product names.
47 00:09:57.220 ⇒ 00:10:04.660 Demilade Agboola: So like, we would use like the like function, it’s it’s a bit messy. But you know how we have our rejects to standardize product names.
48 00:10:04.870 ⇒ 00:10:05.540 Robert Tseng: Yeah.
49 00:10:05.870 ⇒ 00:10:11.669 Demilade Agboola: We can kind of like see? So if there is a say.
50 00:10:12.580 ⇒ 00:10:22.839 Demilade Agboola: Sema right? And then the orders have Sema in it. Let’s tie it back to this treatment, and the date comes after the initial treatment created dates. Then tie it back to this treatment.
51 00:10:23.110 ⇒ 00:10:26.550 Demilade Agboola: It’s a rough mapping again. It’s not going to.
52 00:10:26.880 ⇒ 00:10:35.689 Robert Tseng: That’s an inference. That’s that’s basically what Bobby uses right now, I think that’s why. Yeah, it’s not really like a yeah. I see, I see what you’re saying, though.
53 00:10:35.960 ⇒ 00:10:48.219 Demilade Agboola: Yeah, so potentially, that could be a workaround that we could use to tie back to treatment. But you know, obviously, there would. There will be edge cases and data quality issues like potentially like that.
54 00:10:48.450 ⇒ 00:10:56.840 Demilade Agboola: Obviously the easiest way and the best ways. If there’s an order Id that can just be mapped one to one or one to many based off the order. Id on treatment id. But
55 00:10:57.550 ⇒ 00:11:06.759 Demilade Agboola: that could be a workaround that we look into and just see if, like, this is something they really need badly. We could just provide this as a solution and just say, Hey, we.
56 00:11:06.930 ⇒ 00:11:13.550 Demilade Agboola: we can’t guarantee it works in 100% of cases. But it does get you closer to like the information you need to be able to push to certain people.
57 00:11:14.900 ⇒ 00:11:20.460 Robert Tseng: Okay, yeah, I I think we need, we need the short term solution. Yeah, I mean, I I’m just gonna
58 00:11:20.700 ⇒ 00:11:24.030 Robert Tseng: I guess Josh is on this call. I just
59 00:11:24.670 ⇒ 00:11:31.140 Robert Tseng: Josh, we we do need. We do need Zack, mass to kind of help with
60 00:11:31.730 ⇒ 00:11:34.280 Robert Tseng: what we asked for that. He’s just kind of been ignoring.
61 00:11:35.370 ⇒ 00:11:39.249 Josh : Do you have a list like I need a list of things cause like I also.
62 00:11:39.250 ⇒ 00:11:42.090 Robert Tseng: Not even asking for a list. It’s just one thing from him, but, like.
63 00:11:42.090 ⇒ 00:11:43.860 Josh : I know. What is it? What is it?
64 00:11:43.860 ⇒ 00:11:44.240 Robert Tseng: Oh!
65 00:11:44.240 ⇒ 00:11:44.910 Josh : I don’t.
66 00:11:45.164 ⇒ 00:11:48.985 Robert Tseng: It’s it’s the same channel. It’s the same thing that you had asked for before.
67 00:11:52.040 ⇒ 00:11:54.349 Robert Tseng: like, I thought I wrote out pretty clearly, but.
68 00:11:54.350 ⇒ 00:11:57.039 Josh : What, what channel are we in, or what channel is it sorry.
69 00:11:57.040 ⇒ 00:11:59.359 Robert Tseng: This is this is, this is the vast channel.
70 00:11:59.850 ⇒ 00:12:06.419 Josh : The the analytics, but like what’s I don’t know what the the Basque vips which one is. It.
71 00:12:06.660 ⇒ 00:12:07.390 Demilade Agboola: Oh!
72 00:12:07.570 ⇒ 00:12:11.049 Robert Tseng: It’s just Eden Basque. I think I don’t. I’m not in any other bass channel.
73 00:12:12.320 ⇒ 00:12:14.000 Josh : Even Basque!
74 00:12:19.900 ⇒ 00:12:21.639 Robert Tseng: It’s just my most recent message.
75 00:12:24.980 ⇒ 00:12:30.639 Josh : You didn’t respond. Is it impacting day to day operation? I asked you if it was.
76 00:12:32.190 ⇒ 00:12:34.420 Robert Tseng: You’re asking me. Oh, okay.
77 00:12:34.420 ⇒ 00:12:36.619 Josh : You have to send a note back
78 00:12:40.090 ⇒ 00:12:52.609 Josh : and then say, yes, this is impacting day to day operations, because we can no longer do XY, and Z. This is why add, Zack, I need your help to get this done like I open it up for dialogue for you.
79 00:12:54.750 ⇒ 00:13:04.809 Robert Tseng: Okay, yeah, I think I did not know that you were kind of asking me to like. Say something more, but sure I will. I guess I can. I could do that if that.
80 00:13:05.100 ⇒ 00:13:10.719 Josh : I don’t know how much more clear I can be. Dude. How is this impacting day to day operations for you, Robert.
81 00:13:11.640 ⇒ 00:13:15.170 Josh : like you have to put your mind in the mind of a Zack.
82 00:13:15.540 ⇒ 00:13:22.790 Josh : He’s like getting a million pings like me every day. And he’s like, Okay, does this fire? Is this okay? Burning or not?
83 00:13:22.940 ⇒ 00:13:35.290 Josh : If if it’s impacting your day to day operation, and you’re explaining to him, yeah, I can’t do my job unless you do this. Then he’s gonna make a move to get it done. Otherwise it’s just another request.
84 00:13:40.530 ⇒ 00:13:43.689 Robert Tseng: Okay. I mean, I feel like we don’t give him.
85 00:13:43.870 ⇒ 00:13:46.410 Robert Tseng: I mean, whatever whatever I got. Yeah, sure, like, we can.
86 00:13:46.410 ⇒ 00:13:57.090 Josh : If we don’t give him a bunch of requests, I get it, I get it, I get it. I’ve I, on the other side of our business have given him like 50 requests in the last 5 days.
87 00:13:58.840 ⇒ 00:13:59.490 Robert Tseng: Yeah.
88 00:14:02.320 ⇒ 00:14:12.039 Robert Tseng: okay. Alright, yeah. That’s that’s on me. I will. I’ll I’ll push on that side. But we we should do it for the short term solution, either, anyway. So you should still get together with Rebecca.
89 00:14:14.210 ⇒ 00:14:15.479 Demilade Agboola: Okay. Sounds good.
90 00:14:15.920 ⇒ 00:14:16.580 Robert Tseng: Okay?
91 00:14:17.920 ⇒ 00:14:27.740 Robert Tseng: yeah. I think. Let’s talk about yeah, Annie, anything on your plate that I guess we there’s some stuff that seems stale. We need to kind of shuffle these around. But why don’t you just
92 00:14:28.460 ⇒ 00:14:30.419 Robert Tseng: tell me where I can?
93 00:14:31.690 ⇒ 00:14:33.730 Robert Tseng: Yeah, where are we pointing at.
94 00:14:33.730 ⇒ 00:14:35.076 Annie Yu: Yeah, I
95 00:14:36.130 ⇒ 00:14:46.239 Annie Yu: I wanna say, for the personalized plan, patient counts versus conventional plan. I believe we can close that for now. We did ship that to Rebecca, and she did
96 00:14:46.730 ⇒ 00:14:53.589 Annie Yu: give us some feedback, and I think all the requests or adjusted, for now.
97 00:14:53.860 ⇒ 00:14:54.580 Robert Tseng: Okay.
98 00:14:59.320 ⇒ 00:15:00.710 Annie Yu: And then.
99 00:15:03.340 ⇒ 00:15:13.310 Annie Yu: yeah, the marketing dashboard. That one, I think other parts are all like done for now, but we are just pending on the Ltv
100 00:15:15.300 ⇒ 00:15:16.520 Annie Yu: chart.
101 00:15:16.810 ⇒ 00:15:23.849 Annie Yu: So I would say, like the marketing dashboard and build out cohort based heat map are really the same thing.
102 00:15:31.160 ⇒ 00:15:33.750 Robert Tseng: Cohort base heat map.
103 00:15:33.950 ⇒ 00:15:35.829 Robert Tseng: I’m sorry I see here.
104 00:15:35.830 ⇒ 00:15:37.179 Annie Yu: Think that’s yeah.
105 00:15:38.790 ⇒ 00:15:41.260 Robert Tseng: So you’re you’re saying these 2 are the same.
106 00:15:42.580 ⇒ 00:15:47.510 Annie Yu: I guess, for the marketing dashboard. We just need that Otb cohort.
107 00:15:47.690 ⇒ 00:15:48.410 Robert Tseng: Yeah.
108 00:15:48.410 ⇒ 00:15:48.910 Annie Yu: Yeah.
109 00:15:48.910 ⇒ 00:15:52.250 Robert Tseng: Got it. Okay. So I’m just gonna say, this is blocked until this is done.
110 00:15:52.830 ⇒ 00:15:53.630 Robert Tseng: Sure.
111 00:15:57.760 ⇒ 00:16:06.569 Annie Yu: yeah. And for customer journey, dash, I think we are still waiting on the file size. So can’t really move forward with that.
112 00:16:09.320 ⇒ 00:16:10.080 Robert Tseng: Got it.
113 00:16:10.390 ⇒ 00:16:16.909 Robert Tseng: Yeah, file size. We were waiting on Rebecca to fill in a couple more things right? Them a lot of
114 00:16:17.530 ⇒ 00:16:22.159 Robert Tseng: yeah, I guess when you meet with her, can we? Can you also follow up on that.
115 00:16:23.735 ⇒ 00:16:24.390 Demilade Agboola: Yes.
116 00:16:26.460 ⇒ 00:16:35.910 Demilade Agboola: So for that task, I I think I’ve decided the tickets. But yeah, I also said in the ticket that I plan to meet with her, to also gain some clarity on some of the Val sizes, and how to
117 00:16:36.160 ⇒ 00:16:39.029 Demilade Agboola: map it out fully on.
118 00:16:39.140 ⇒ 00:16:44.570 Demilade Agboola: But yes, I plan to meet with her, so I I will have a call for both. This task and the previous task.
119 00:16:45.020 ⇒ 00:16:45.690 Robert Tseng: Okay.
120 00:16:46.481 ⇒ 00:16:54.099 Annie Yu: And, Robert, I do have one more question. If you can click into that customer journey dash. But this one is actually
121 00:16:55.265 ⇒ 00:17:04.740 Annie Yu: I’m I’m referring to that. Your comment for sorry. Not this one, but the customer journey.
122 00:17:07.650 ⇒ 00:17:08.470 Annie Yu: Hmm!
123 00:17:11.339 ⇒ 00:17:13.740 Annie Yu: Probably an internal feedback, though.
124 00:17:15.160 ⇒ 00:17:16.060 Robert Tseng: Oh, yeah.
125 00:17:16.060 ⇒ 00:17:21.802 Annie Yu: Yeah, I do see some of the comments that you had, but for product, drill down, dash
126 00:17:23.089 ⇒ 00:17:23.709 Robert Tseng: Yeah.
127 00:17:23.880 ⇒ 00:17:25.300 Annie Yu: And
128 00:17:25.930 ⇒ 00:17:34.800 Annie Yu: yeah, I did fix some things you commented there. One thing I want to clarify is the question kind of the question. 3.
129 00:17:36.680 ⇒ 00:17:41.200 Annie Yu: Yeah, that one double check the revenue projections for met kits.
130 00:17:42.880 ⇒ 00:17:45.072 Annie Yu: I don’t really get
131 00:17:45.770 ⇒ 00:17:47.829 Annie Yu: What? This question is.
132 00:17:48.020 ⇒ 00:17:48.940 Annie Yu: 4.
133 00:17:50.210 ⇒ 00:17:56.620 Robert Tseng: Yeah, I already asked that today. So I think it’s fine. I think I was just asking. Well, cause there was like, no.
134 00:17:57.560 ⇒ 00:18:12.250 Robert Tseng: there is very little, but actually there’s no, there’s no new. There are no sales coming in for Hrt kits. So I thought that was kind of strange med kits, like, I think they’re starting to pick up. So anyway, I think, yeah, that’s probably outdated question. I kind of went and answered it myself. Sorry, said Updated. It.
135 00:18:12.420 ⇒ 00:18:26.940 Annie Yu: Okay, yeah. And I did double check. I should have commented here. But I did double check the growth rate. And there’s nothing wrong with that growth rate. We just had really small numbers. That’s why it was crazy.
136 00:18:26.940 ⇒ 00:18:28.370 Robert Tseng: Okay, got it.
137 00:18:34.320 ⇒ 00:18:39.719 Robert Tseng: Okay? So yeah, I mean, you’re yeah. This is ready. That’s that’s ready to close out to you. Right?
138 00:18:43.970 ⇒ 00:18:52.199 Annie Yu: Well, yeah, but this ticket is actually for customer journey, so we can keep it there, cause it’s pending the file size. I’m not sure.
139 00:18:52.200 ⇒ 00:18:52.730 Robert Tseng: Oh!
140 00:18:52.730 ⇒ 00:18:54.070 Annie Yu: Close this, or.
141 00:18:54.920 ⇒ 00:18:55.650 Robert Tseng: Got it.
142 00:18:56.010 ⇒ 00:19:01.260 Robert Tseng: It’s kind of like, once we update file size, we need to update 2 dashboards. Right? It’s kind of the thing.
143 00:19:02.786 ⇒ 00:19:09.689 Annie Yu: Wait 2. So one is customer journey. One is, is it product? Drill down.
144 00:19:11.531 ⇒ 00:19:17.520 Robert Tseng: Yeah, is that what the farm ops dashboard is? Is that what this is called product drill down? Sorry. I think these naming would be better. But.
145 00:19:19.140 ⇒ 00:19:21.779 Robert Tseng: like I, I don’t know if they were talking about the same thing.
146 00:19:21.780 ⇒ 00:19:31.480 Annie Yu: I think when you mention Pharma Ops, that would mean the the customer journey. Wait the order journey. Yeah.
147 00:19:32.400 ⇒ 00:19:33.470 Robert Tseng: Cause that one, yeah.
148 00:19:33.470 ⇒ 00:19:35.139 Annie Yu: For Rebecca. Right.
149 00:19:35.450 ⇒ 00:19:36.120 Robert Tseng: Yep.
150 00:19:36.120 ⇒ 00:19:36.800 Annie Yu: Yeah.
151 00:19:42.680 ⇒ 00:19:48.060 Robert Tseng: So yeah, once we update vial, I mean, this is fine. We don’t need to touch this anymore.
152 00:19:48.330 ⇒ 00:19:55.779 Robert Tseng: Right? So when we update file size. We’re just talking about customer journey. Dash
153 00:19:57.980 ⇒ 00:20:01.169 Robert Tseng: dang it! I feel like I can’t navigate this very well.
154 00:20:05.920 ⇒ 00:20:08.270 Annie Yu: I think it’s just order journey.
155 00:20:08.710 ⇒ 00:20:10.219 Robert Tseng: They’re both called order, journey.
156 00:20:11.380 ⇒ 00:20:21.380 Annie Yu: Yeah, because at 1 point you were like, this is more like order journey rather than customer journey. And I think we are trying to add.
157 00:20:23.740 ⇒ 00:20:37.499 Robert Tseng: Okay? So like, I think I’m getting confused because, like farm Ops and customer journey. Yeah, I understood that. Like, 2 months ago, they started off as different things now they’re the same team. And so I think we’re really building one view. So they’re both the same. They’re both order journey.
158 00:20:38.400 ⇒ 00:20:39.150 Annie Yu: Yeah.
159 00:20:39.450 ⇒ 00:20:40.080 Robert Tseng: Okay.
160 00:20:40.550 ⇒ 00:20:43.079 Robert Tseng: So I’m just gonna call everything.
161 00:20:45.060 ⇒ 00:20:45.810 Robert Tseng: Okay.
162 00:20:50.930 ⇒ 00:20:58.580 Robert Tseng: Okay? So you’re basically, we’re blocked by the vial thing. But once file size updated, we can clear both of those out.
163 00:21:00.350 ⇒ 00:21:01.050 Robert Tseng: Okay?
164 00:21:01.640 ⇒ 00:21:06.240 Robert Tseng: And then you’ll be whatever cohort based heat map. And then, yeah.
165 00:21:12.166 ⇒ 00:21:17.699 Robert Tseng: and then this is modeling work that you need to. You’re you’re gonna get started on with, I guess.
166 00:21:19.380 ⇒ 00:21:24.030 Robert Tseng: Wait! Who built the the models for the retention dashboard
167 00:21:24.150 ⇒ 00:21:26.140 Robert Tseng: between the mulotte and a wish.
168 00:21:29.400 ⇒ 00:21:30.820 Demilade Agboola: I believe that was our wish.
169 00:21:31.240 ⇒ 00:21:33.049 Demilade Agboola: I know I made some tweaks to it, though.
170 00:21:36.160 ⇒ 00:21:38.000 Awaish Kumar: Okay, which one is.
171 00:21:39.072 ⇒ 00:21:41.079 Robert Tseng: The models for this.
172 00:21:42.460 ⇒ 00:21:44.130 Demilade Agboola: So the cohorts, models.
173 00:21:48.360 ⇒ 00:21:50.960 Awaish Kumar: Okay, yeah, I build one which where we
174 00:21:51.370 ⇒ 00:21:53.189 Awaish Kumar: get the 1st order and then
175 00:21:53.800 ⇒ 00:21:55.719 Awaish Kumar: the revenue and things like that.
176 00:21:56.250 ⇒ 00:22:04.040 Robert Tseng: Okay? Well, then. So yeah, Annie, I think this one you can work with away well, oasis to like, add
177 00:22:04.580 ⇒ 00:22:11.500 Robert Tseng: model to support all cohort based. Ltv. Reporting.
178 00:22:11.900 ⇒ 00:22:17.860 Annie Yu: Okay, so this is now a cause. I remember last Friday you created one ticket for Demo A, so I’m not.
179 00:22:17.860 ⇒ 00:22:19.999 Robert Tseng: Where was it? Did I? Okay?
180 00:22:22.260 ⇒ 00:22:23.650 Robert Tseng: My bad.
181 00:22:26.710 ⇒ 00:22:27.500 Robert Tseng: that’s it.
182 00:22:27.650 ⇒ 00:22:28.530 Robert Tseng: But
183 00:22:30.277 ⇒ 00:22:37.809 Robert Tseng: I see. Okay, yeah, no. I’ll reassign this to a wish. I think timony has something urgent to do. So I think I want.
184 00:22:39.145 ⇒ 00:22:39.820 Robert Tseng: yeah.
185 00:22:39.820 ⇒ 00:22:40.650 Annie Yu: Okay.
186 00:22:41.290 ⇒ 00:22:48.272 Robert Tseng: Yeah, so so basically, I wish, yeah, I mean, you can look through the the ticket. But
187 00:22:48.890 ⇒ 00:22:55.600 Robert Tseng: yeah, Annie has a new model that she needs in order to build something like this for not retention, but for Ltv.
188 00:22:57.950 ⇒ 00:23:04.639 Awaish Kumar: Okay, okay, okay, any is, it is this is similar to something we work for. Javi. Right?
189 00:23:04.640 ⇒ 00:23:13.499 Annie Yu: Yeah, yeah. But I I can. Still, we can still huddle, because there’s some different. It’s not. Yeah. Yeah. But it’s very similar. Yeah.
190 00:23:13.670 ⇒ 00:23:17.550 Robert Tseng: Okay? Great. Yeah. I think that’s probably better for a wish to take pick up. Then.
191 00:23:19.730 ⇒ 00:23:27.860 Robert Tseng: yeah, I mean stuff that’s in cycle. Just a couple of things I’ll clear out. I moved a lot of things over this morning.
192 00:23:28.030 ⇒ 00:23:31.389 Robert Tseng: I wish the other big thing I put on your plate was like.
193 00:23:31.630 ⇒ 00:23:41.449 Robert Tseng: it’s more open ended. But kind of something to be thinking through. So yeah, like, I, I think I can just share broadly with the team real quick. It won’t take too long.
194 00:23:42.452 ⇒ 00:23:44.340 Robert Tseng: But basically, this is
195 00:23:46.440 ⇒ 00:23:52.040 Robert Tseng: So there’s 2 things I wish I said I would follow up on one is, I’m going to get you connected to the Erp dev team.
196 00:23:52.809 ⇒ 00:24:09.420 Robert Tseng: If you’re gonna yeah, I’m gonna connect you to the CTO, he’s leading that effort so that you can be looked into some of the dev decisions that they’re making. So we can have. Yeah, we start to think about the new data or architecture, for when we move off fast.
197 00:24:10.000 ⇒ 00:24:21.839 Robert Tseng: then the more. And that that’s just really just gathering requirements. And you’re kind of getting to understand how to do the system design there and then on the second. That’s
198 00:24:21.990 ⇒ 00:24:27.029 Robert Tseng: it’s not urgent, but it’s like we have 2 weeks, I think, to kind of get this done. I think
199 00:24:27.260 ⇒ 00:24:35.210 Robert Tseng: everyone’s still kind of freaking out about the product launches. But for now I think this is yeah, what
200 00:24:35.380 ⇒ 00:24:40.879 Robert Tseng: I kind of mentioned it already. But we’re trying to build a couple computer traits
201 00:24:42.060 ⇒ 00:24:53.769 Robert Tseng: in segment and in our data warehouse that we can push into customer I/O and so this is just like a workflow optimization thing for the lifecycle team, which is just his name is Bobby.
202 00:24:54.020 ⇒ 00:24:55.700 Robert Tseng: Yeah.
203 00:24:56.090 ⇒ 00:25:02.189 Robert Tseng: read through this, Doc. When you get chance today, and then we should probably chat about it in more detail on, like
204 00:25:02.970 ⇒ 00:25:06.189 Robert Tseng: what we’re looking for here. I kind of
205 00:25:06.900 ⇒ 00:25:16.229 Robert Tseng: I I just threw a lot of notes in here, so I don’t. We don’t have to walk through all of it now, but I guess that’s that’s a another thing. I was trying to get to you today that I said I would.
206 00:25:17.770 ⇒ 00:25:21.620 Awaish Kumar: Okay, I I was reading that. But yeah, I have to get into more.
207 00:25:22.898 ⇒ 00:25:25.269 Robert Tseng: Deep dive into more, to understand that.
208 00:25:26.530 ⇒ 00:25:33.449 Awaish Kumar: But like this is, it’s something we want to add kind of more events into the segment right.
209 00:25:34.536 ⇒ 00:26:01.530 Robert Tseng: Yeah. So I mean, this is somewhat related to Dave. A lot of kind of thing, because, like the treatment entity, like, we don’t have the concept of treatments in the data warehouse right now. So it’s actually not going from. I think it’s just going directly from segment into customer I/O, and it’s not coming to the data warehouse. So part of this is bringing the treatment object into the warehouse. And then we’re gonna do some enrichment on top of it, and then push it back into customer. I/O.
210 00:26:02.461 ⇒ 00:26:04.950 Demilade Agboola: So we do actually have tremendous data warehouse
211 00:26:06.920 ⇒ 00:26:09.414 Demilade Agboola: like, there’s there’s we have, like,
212 00:26:10.320 ⇒ 00:26:19.949 Demilade Agboola: new treatments created and new treatments of data. So we do have those web hook data coming into the warehouse. It just isn’t necessarily
213 00:26:20.600 ⇒ 00:26:23.909 Demilade Agboola: it’s the tying to orders. That has been the problem.
214 00:26:24.620 ⇒ 00:26:29.740 Robert Tseng: But we’ve never modeled it out like we don’t have any like facts. Tables with treatment, right?
215 00:26:30.030 ⇒ 00:26:35.170 Demilade Agboola: Oh, no, we. We have a we have a model without. But the raw data does come into the into the warehouse.
216 00:26:35.750 ⇒ 00:26:36.560 Robert Tseng: Aha!
217 00:26:37.030 ⇒ 00:26:37.390 Demilade Agboola: Yeah.
218 00:26:37.390 ⇒ 00:26:45.810 Robert Tseng: Yeah, I mean, yeah, the the issue is that we that we can’t map treatments orders. Yeah, okay.
219 00:26:47.940 ⇒ 00:26:53.569 Robert Tseng: But yeah, I mean, I think that that okay, thank you for that clarification. I still think that that was like
220 00:26:54.110 ⇒ 00:27:03.990 Robert Tseng: the the treatment data is being pushed directly into Customer I/O, without going to the warehouse. Rob told us that he did that because there was like some delay, and like the functions that he set up.
221 00:27:04.110 ⇒ 00:27:10.200 Robert Tseng: they mulatta. We talked about this last week, and I was like, I feel like what he did doesn’t make any, doesn’t really make sense like.
222 00:27:10.380 ⇒ 00:27:13.679 Robert Tseng: Seems very brutal. The way that he set it up so.
223 00:27:17.430 ⇒ 00:27:33.590 Robert Tseng: yeah, I I guess I don’t know if I created a ticket for that, to be honest. But like I think I mentioned this app script. Google sheet thing seem would like some seem kind of dodgy to me like I I felt like this. This is reasonable, completely reasonable to be able to hit
224 00:27:34.461 ⇒ 00:27:38.079 Robert Tseng: to pass data into customer I/O within the same hour.
225 00:27:39.460 ⇒ 00:27:43.599 Robert Tseng: like I don’t know why he was not able to do it, but I I feel like it should be doable.
226 00:27:44.970 ⇒ 00:27:49.140 Demilade Agboola: Well, definitely, look into. I think like, there’s there’s a lot of like,
227 00:27:51.460 ⇒ 00:28:01.510 Demilade Agboola: on the fly work, that is going on that isn’t also documented and sustainable. So it requires like Rob, knowing what exactly is going on every single point in time.
228 00:28:02.096 ⇒ 00:28:12.970 Demilade Agboola: And I feel like that. That is, isn’t necessarily the best way to build this thing out. So obviously, we need to like, just think of how we can build a sustainable way to enrich data for customer
229 00:28:13.190 ⇒ 00:28:17.169 Demilade Agboola: on the I/O, so that it can be used. Utilized downstream.
230 00:28:17.770 ⇒ 00:28:24.250 Robert Tseng: Yeah. So I guess I’m as we’re talking through these. I’m getting a bit conflated here like
231 00:28:25.213 ⇒ 00:28:31.920 Robert Tseng: there is overlap, I think, between what I’m asking a wish to look into versus what you’re doing. But
232 00:28:32.100 ⇒ 00:28:40.360 Robert Tseng: I think I don’t know, like you guys can help me like differentiate this a bit more. I mean, I’m updating my knowledge now. And I think.
233 00:28:42.550 ⇒ 00:28:49.589 Robert Tseng: like, there’s a pipeline issue here that like, how do we get
234 00:28:50.750 ⇒ 00:29:02.080 Robert Tseng: treatment data to not go direct from segment to customer I/O, but to go to be routed through the warehouse with the proper modeling and the right Co. And the bet and better computations.
235 00:29:02.190 ⇒ 00:29:19.049 Robert Tseng: So that we expose the right data into customer. I/OI think that’s that’s that’s like what this re architecture kind of initiative is. But then a lot is working on is more of like the short term like, Okay, well, we can’t really build this pipeline right now, like we, we still need to be able to
236 00:29:19.556 ⇒ 00:29:28.479 Robert Tseng: infer like which treatments and objects are associated so that Bobby can do launches campaign for now is that a good way of putting it.
237 00:29:30.840 ⇒ 00:29:34.530 Demilade Agboola: Yeah, I think, yeah, one task is a general
238 00:29:34.650 ⇒ 00:29:42.610 Demilade Agboola: like, how do we do this? Customer? The other is like specific, like a task specific routine.
239 00:29:43.210 ⇒ 00:29:55.320 Demilade Agboola: I think potentially, if we, if we solve the task, or if we come up with a task solution, it could either be the long term solution, or it could be
240 00:29:55.997 ⇒ 00:30:09.150 Demilade Agboola: something that we can improve on long term, or totally come up with a different way to do it long term to be honest. But yeah, I think they’re 2 different, like, well, not 2 different, but like 2 similar. But one is more short term. One is more long term.
241 00:30:10.250 ⇒ 00:30:10.960 Robert Tseng: Okay.
242 00:30:11.120 ⇒ 00:30:21.140 Robert Tseng: So I mean, I think it’s, it’s fine for you guys to be working on it. So eventually we’ll have to come together. And again, a lot of you’re doing the short term fix, and then it always just thinking more about the long term. At this point.
243 00:30:26.810 ⇒ 00:30:27.190 Awaish Kumar: Okay.
244 00:30:27.930 ⇒ 00:30:34.260 Robert Tseng: Yeah, so I will also tag away.
245 00:30:34.260 ⇒ 00:30:39.700 Awaish Kumar: Maybe I Hi! And I’m Larry, can appear to discuss more.
246 00:30:39.920 ⇒ 00:30:40.380 Robert Tseng: Yeah.
247 00:30:40.380 ⇒ 00:30:41.390 Awaish Kumar: What’s happening.
248 00:30:43.900 ⇒ 00:30:49.920 Robert Tseng: Yeah, I think that’d be helpful. Okay.
249 00:30:50.070 ⇒ 00:30:57.583 Robert Tseng: I oops. It’s not stuff like that should be query alright. I I feel like for the most part everything here holds true.
250 00:30:58.390 ⇒ 00:31:05.009 Robert Tseng: I was I was. I paused because I was thinking, Well, do I actually have to change anything here based on what he told me. But
251 00:31:05.200 ⇒ 00:31:11.730 Robert Tseng: I think I think it’s still fine. So anyway, you guys can kind of take, take that and
252 00:31:12.530 ⇒ 00:31:13.740 Robert Tseng: they run with that.
253 00:31:16.850 ⇒ 00:31:26.259 Robert Tseng: yeah. So if there are any other escalations, let me know couple of things, I’m gonna set up just to get Mattesh more involved, I want to be meeting with him weekly again. I I think
254 00:31:26.430 ⇒ 00:31:47.434 Robert Tseng: the we’ve been slow on the marketing dashboard because he hasn’t been giving us feedback as regularly as as Rebecca has been, and we’re not getting enough feedback from product, from from from Cutter and Joanna. So I need to think about like how to get that. Get them into this conversation. More.
255 00:31:48.710 ⇒ 00:31:55.334 Robert Tseng: but yes, between that and pushing on Zack Bask, I think those are kind of the immediate next things that I’m gonna be doing.
256 00:31:59.580 ⇒ 00:32:03.159 Robert Tseng: okay, yeah. Any other questions for now.
257 00:32:11.524 ⇒ 00:32:19.769 Demilade Agboola: I think I I know you. I saw you ask, but I’m not sure they have responded. But I know you asked about the Hrt kits, and if they
258 00:32:20.080 ⇒ 00:32:22.219 Demilade Agboola: have, like, people have purchased it.
259 00:32:22.862 ⇒ 00:32:26.140 Demilade Agboola: The numbers seem low, and I don’t know if they’ve necessarily launched it.
260 00:32:26.510 ⇒ 00:32:28.309 Demilade Agboola: but the mapping should be fine.
261 00:32:30.000 ⇒ 00:32:32.519 Demilade Agboola: So I don’t know what’s going on with that.
262 00:32:32.520 ⇒ 00:32:35.590 Robert Tseng: Yeah, I don’t. I don’t feel like Adam would know. He probably.
263 00:32:36.670 ⇒ 00:32:46.544 Robert Tseng: Yeah, I guess that’s that’s another like small tick. Another ticket that I’m gonna pass to Annie’s way, like Adam wants like a mobile, friendly version of
264 00:32:51.240 ⇒ 00:32:54.710 Robert Tseng: of the snapshot.
265 00:32:57.480 ⇒ 00:33:01.379 Robert Tseng: Yeah. So like, right now, he feels like
266 00:33:01.610 ⇒ 00:33:08.599 Robert Tseng: it’s fair like on the phone. This is, you can’t really tell what the heck is going on here. So yeah, Annie, I think I’m gonna
267 00:33:08.770 ⇒ 00:33:10.950 Robert Tseng: also create a ticket for you to
268 00:33:11.230 ⇒ 00:33:13.670 Robert Tseng: make a a mobile, friendly version of this.
269 00:33:22.240 ⇒ 00:33:30.110 Robert Tseng: Okay, alright if nothing else. We’ll we kind of adjourn here. Thanks. Everyone.
270 00:33:32.370 ⇒ 00:33:33.120 Annie Yu: Thanks.