Meeting Title: Eden Weekly Stand-up and Retro Date: 2025-10-03 Meeting participants: Amber Lin, Robert Tseng, Awaish Kumar, Demilade Agboola, Henry Zhao
WEBVTT
1 00:00:07.130 ⇒ 00:00:08.220 Amber Lin: Hi!
2 00:00:08.920 ⇒ 00:00:10.060 Robert Tseng: Hey, Amber.
3 00:00:10.610 ⇒ 00:00:16.860 Amber Lin: Let me share… the weekly update doc. We’re still working on it.
4 00:00:17.900 ⇒ 00:00:19.409 Robert Tseng: Good end of week updates?
5 00:00:22.630 ⇒ 00:00:25.329 Robert Tseng: Is it the end of week updates?
6 00:00:25.330 ⇒ 00:00:28.010 Amber Lin: Yes, I also sent in a Zoom chat.
7 00:00:28.170 ⇒ 00:00:46.699 Amber Lin: I mostly… I want to ask about Zoran’s situation, because I know… I saw your message in Ellie, so he’s gonna have less time for Eden next week, which will help our case with upsells, but I’m worried about, like, his side of progress, and if he’s not there, like, things might blow up.
8 00:00:46.780 ⇒ 00:00:53.910 Amber Lin: What’s our plan around… that, or how do you plan to tell that to Eden, or Duni?
9 00:00:53.910 ⇒ 00:01:00.309 Robert Tseng: Yeah, I’m talking to them in, like, 2 hours, so I’m gonna mention that this is something they need to decide on.
10 00:01:00.480 ⇒ 00:01:01.570 Robert Tseng: Okay.
11 00:01:02.210 ⇒ 00:01:12.070 Robert Tseng: Yeah, I didn’t know that, Zoran was constrained, but I also… I know he’s not with us full-time, so I guess we kind of have to work around his… his availability now, so…
12 00:01:13.110 ⇒ 00:01:16.930 Amber Lin: I mean, he is essentially…
13 00:01:17.370 ⇒ 00:01:23.310 Amber Lin: full-time now? I know there was… he usually works, like, 15…
14 00:01:23.470 ⇒ 00:01:40.089 Amber Lin: hours here, and then upcoming, we project, like, 15 hours on Ellie, and I know Utam asked if he has 10 hours extra available, so if he spends 15, 15, and then 10 on something else, then he’s practically full-time.
15 00:01:41.940 ⇒ 00:01:45.329 Robert Tseng: Okay, well then, like, why is… why is, Eden gonna slow down for him?
16 00:01:45.330 ⇒ 00:01:45.830 Amber Lin: Oh, I…
17 00:01:45.830 ⇒ 00:01:46.560 Robert Tseng: event.
18 00:01:46.560 ⇒ 00:01:51.149 Amber Lin: I saw your message, that’s all. I thought Ellie’s gonna take, like.
19 00:01:51.600 ⇒ 00:01:57.620 Amber Lin: 30 hours, but if it’s not, if it’s doable in 15, then there shouldn’t be an impact.
20 00:01:58.350 ⇒ 00:01:59.070 Robert Tseng: Okay.
21 00:01:59.630 ⇒ 00:02:10.539 Robert Tseng: Yeah, well, I’m not entirely sure how long it’s gonna take him there, but yeah, he didn’t do anything on Ellie this week, so he needs to get… he needs to finish it tomorrow, or next week.
22 00:02:10.669 ⇒ 00:02:11.309 Amber Lin: Yeah.
23 00:02:11.629 ⇒ 00:02:12.479 Amber Lin: Okay.
24 00:02:12.659 ⇒ 00:02:16.209 Amber Lin: I’ll run through stand-up real quick.
25 00:02:17.089 ⇒ 00:02:18.089 Amber Lin: Mmm.
26 00:02:20.309 ⇒ 00:02:21.219 Amber Lin: Alright.
27 00:02:33.999 ⇒ 00:02:35.039 Amber Lin: Okay.
28 00:02:35.689 ⇒ 00:02:41.299 Amber Lin: If we have time, we can do the affiliate debrief in this meeting.
29 00:02:41.989 ⇒ 00:02:44.379 Amber Lin: Wish, I have a question about…
30 00:02:44.559 ⇒ 00:02:50.009 Amber Lin: COG stuff, it’s been on our plate for a very, very long time. Do we still plan to do it?
31 00:02:52.000 ⇒ 00:02:55.529 Awaish Kumar: Yeah, it’s kind of an internal task, so…
32 00:02:55.530 ⇒ 00:02:55.890 Amber Lin: Yeah.
33 00:02:55.890 ⇒ 00:02:58.110 Awaish Kumar: That keeps going out.
34 00:02:58.180 ⇒ 00:02:59.300 Amber Lin: But.
35 00:02:59.300 ⇒ 00:03:04.309 Awaish Kumar: I will do it, like… Some… sometime, like, when we don’t have any…
36 00:03:04.900 ⇒ 00:03:05.560 Amber Lin: Okay.
37 00:03:05.750 ⇒ 00:03:14.409 Amber Lin: Okay, I see, it’s very low priority. Right, seems like everything here is done except for this one, which is also low priority.
38 00:03:15.100 ⇒ 00:03:24.520 Amber Lin: So, don’t leave it as is if you get time. And then, on Demolade’s side, I think the important ones are ease…
39 00:03:25.480 ⇒ 00:03:26.460 Amber Lin: These two.
40 00:03:28.280 ⇒ 00:03:32.299 Demilade Agboola: Yeah, so those ones, I will send the PR in.
41 00:03:32.470 ⇒ 00:03:34.090 Demilade Agboola: We find a date, but…
42 00:03:37.010 ⇒ 00:03:38.890 Awaish Kumar: Should we merge it today?
43 00:03:39.270 ⇒ 00:03:42.609 Demilade Agboola: No. No emergency, but I’ll send the PRs in.
44 00:03:43.580 ⇒ 00:03:49.420 Amber Lin: Okay, and then the product sales summary, do you have time left over to work on that?
45 00:03:50.060 ⇒ 00:03:53.219 Demilade Agboola: No, that’s… to be fair, like, this… this is a more delicate.
46 00:03:57.240 ⇒ 00:04:00.179 Demilade Agboola: Because a lot of things are dependent on it.
47 00:04:01.090 ⇒ 00:04:04.500 Demilade Agboola: So, yeah, definitely we’ll do that next week.
48 00:04:04.850 ⇒ 00:04:10.650 Demilade Agboola: Is it just a bit more time to test and ensure that we’re… whatever picks we make?
49 00:04:11.020 ⇒ 00:04:17.669 Demilade Agboola: will not break a lot of dashboards. Like, the production summary by transaction is easily the most used model we have.
50 00:04:18.550 ⇒ 00:04:21.200 Amber Lin: So we can’t start it today, right?
51 00:04:21.910 ⇒ 00:04:22.530 Demilade Agboola: No.
52 00:04:23.070 ⇒ 00:04:23.700 Amber Lin: Okay.
53 00:04:24.240 ⇒ 00:04:27.289 Amber Lin: Scooting that out.
54 00:04:27.680 ⇒ 00:04:40.510 Amber Lin: So I think we should have time to do a little bit of the COGS one. I know this was a message that you sent. I’m going to follow up on them on the issues that we are blocked on BASC. I sent a message on Monday.
55 00:04:40.590 ⇒ 00:04:47.829 Amber Lin: About the pharmacy stuff and tagged Josh, I just haven’t heard back in that channel. So, also,
56 00:04:48.650 ⇒ 00:04:55.180 Amber Lin: Robert, I’ll list out the stuff that we’re blocked on. A lot of it is BASC issues, so might need Josh to go
57 00:04:55.310 ⇒ 00:05:04.279 Amber Lin: Nudge them nicely. All that. Yeah, I’ll send you the stuff that we need from them.
58 00:05:05.210 ⇒ 00:05:06.040 Amber Lin: Okay.
59 00:05:06.390 ⇒ 00:05:10.970 Amber Lin: Hence on… Henry’s… sorry, Henry’s not here.
60 00:05:11.480 ⇒ 00:05:16.309 Amber Lin: Okay, blocked, blocked.
61 00:05:17.790 ⇒ 00:05:18.580 Amber Lin: Alright.
62 00:05:19.360 ⇒ 00:05:27.840 Amber Lin: And then, on Zoran’s side, I… don’t have an update. Henry has an update, so I’m gonna ask him.
63 00:05:28.350 ⇒ 00:05:30.999 Amber Lin: So, I think that’s good.
64 00:05:32.000 ⇒ 00:05:39.929 Amber Lin: I do want to do the debrief on the affiliate situation, but I would like Henry to be here for that.
65 00:05:42.650 ⇒ 00:05:49.219 Robert Tseng: Yeah, that’s okay. I mean, that’s something I’m gonna bring up with them as well, so…
66 00:05:49.220 ⇒ 00:05:53.520 Amber Lin: Okay, so I’ll move it to next week, and once you… once you have a…
67 00:05:54.120 ⇒ 00:05:57.550 Amber Lin: They have an answer, and then we can talk about it.
68 00:06:04.460 ⇒ 00:06:05.250 Amber Lin: Alright.
69 00:06:08.470 ⇒ 00:06:14.389 Amber Lin: I think that is all for… All for the stand-up.
70 00:06:14.710 ⇒ 00:06:18.699 Amber Lin: We can do a quick retro in…
71 00:06:19.490 ⇒ 00:06:24.580 Amber Lin: in this document, and then, Robert, you can also put down some questions you have.
72 00:06:24.880 ⇒ 00:06:29.760 Amber Lin: For the ELT, or some questions that you want us to answer.
73 00:06:35.530 ⇒ 00:06:38.199 Amber Lin: Oh, I am not sharing screen.
74 00:06:47.930 ⇒ 00:06:48.600 Amber Lin: Yep.
75 00:06:50.170 ⇒ 00:06:58.200 Amber Lin: Don’t spend, like… 3, 5 minutes… put down… What went well?
76 00:07:16.910 ⇒ 00:07:20.710 Amber Lin: Do y’all have the access to the document here?
77 00:07:22.430 ⇒ 00:07:23.100 Awaish Kumar: Yes.
78 00:07:27.810 ⇒ 00:07:29.090 Amber Lin: Let me think…
79 00:08:50.930 ⇒ 00:08:53.990 Robert Tseng: What is going on with this doc? It keeps deleting what I’m writing.
80 00:08:53.990 ⇒ 00:08:55.550 Amber Lin: Oh, no.
81 00:08:56.370 ⇒ 00:08:59.060 Amber Lin: I think it’s many people editing it at the same time.
82 00:08:59.080 ⇒ 00:09:01.350 Robert Tseng: I forget it, people gave me somewhere else.
83 00:10:24.840 ⇒ 00:10:25.580 Amber Lin: Okay.
84 00:10:25.970 ⇒ 00:10:32.040 Amber Lin: Mmm… I think all the needs improvement items are very valid.
85 00:10:32.470 ⇒ 00:10:42.550 Amber Lin: We did plan… well, we planned to do documentation this week, we did not enforce it, so part of it is on me, I didn’t check on it, so I will…
86 00:10:43.040 ⇒ 00:10:49.109 Amber Lin: see where we can get started there. I think specifically for tagging and tracking, and then Zoran’s work, because we…
87 00:10:49.340 ⇒ 00:10:55.319 Amber Lin: We will be in big trouble if we don’t get documentation from him, and then he’s not available.
88 00:10:55.520 ⇒ 00:11:01.620 Amber Lin: And… Yeah.
89 00:11:11.310 ⇒ 00:11:19.069 Amber Lin: Yeah, and then coming up next week is the slide updates, and I think each person owns a few slides.
90 00:11:22.640 ⇒ 00:11:26.449 Amber Lin: Yeah, and I can totally go to the allocation slide.
91 00:11:26.850 ⇒ 00:11:32.109 Amber Lin: Any other concerns from you, Robert? I know I saw it flash in, and then it disappeared.
92 00:11:33.320 ⇒ 00:11:41.290 Robert Tseng: No, I just moved it to a different doc. I’m just, like, writing out, because I… I use this meeting for myself to prepare for my weekly EL
93 00:11:41.620 ⇒ 00:11:48.130 Robert Tseng: updates in, like, 2 hours, so I’m just, like, I’m looking at what you guys are writing, and then I’m just pulling into whatever writing.
94 00:11:48.240 ⇒ 00:11:49.459 Robert Tseng: Making my update.
95 00:11:53.620 ⇒ 00:11:58.150 Awaish Kumar: By the way, for Robert, I just have one thing to say.
96 00:11:58.540 ⇒ 00:11:59.190 Awaish Kumar: Mmm.
97 00:11:59.190 ⇒ 00:11:59.590 Robert Tseng: Yeah.
98 00:11:59.590 ⇒ 00:12:08.990 Awaish Kumar: for migrations, we end up having 3 different projects in that stream. One is Reno, which basically is
99 00:12:09.400 ⇒ 00:12:16.080 Awaish Kumar: just went into being a separate client, so we don’t discuss it here. Then there are two different, streams.
100 00:12:16.280 ⇒ 00:12:25.590 Awaish Kumar: One is data pipelines migration, which we have been working on for some time. We built a proposal and shared with them, and that was basically
101 00:12:26.000 ⇒ 00:12:43.779 Awaish Kumar: to get, like, use Remo as our source for all the operational data instead of PaaS, and move all our, ingestions from Remo, and then, basically adjust for any change in business
102 00:12:43.970 ⇒ 00:12:49.490 Awaish Kumar: kind of logic between Basque and Remo, handle that, and basically
103 00:12:49.710 ⇒ 00:12:53.440 Awaish Kumar: Continue to support analytical reporting part.
104 00:12:53.880 ⇒ 00:12:54.680 Robert Tseng: Yeah.
105 00:12:54.680 ⇒ 00:13:11.059 Awaish Kumar: We are working… we worked for some time on this. Then, in the recent meetings with Leon, he came up with that, like, we also have to do data migration, so I also added it as a separate work stream, and that’s data migration from Basque.
106 00:13:11.360 ⇒ 00:13:17.690 Awaish Kumar: to Raymond. So… like… like, for the remote platform, to be able to…
107 00:13:17.930 ⇒ 00:13:36.550 Awaish Kumar: run, like, they need all the data which is in Vaas to be in their platform, so now we might have to also do a kind of a reverse SQL for their… that platform. So we will be getting data from BaaS, or maybe most of it we are already… we have already in BigQuery, then we’ll be building… we have to build some
108 00:13:36.660 ⇒ 00:13:40.740 Awaish Kumar: Solutions to reverse detail it back to… Review more.
109 00:13:43.410 ⇒ 00:13:54.039 Robert Tseng: Okay, I’m just, like, writing this out, like, this is not really adding up for me. Data pipelines using Remo is all sorts of operations. Data migration from Bass to Remo, to me, this is kind of, like.
110 00:13:54.180 ⇒ 00:13:57.350 Robert Tseng: Is it the same thing? Like, why are these two separate things?
111 00:13:57.830 ⇒ 00:14:04.169 Awaish Kumar: Yeah, like, from… These are separate, separate things, because, like, data pipelines migration is…
112 00:14:04.380 ⇒ 00:14:06.720 Awaish Kumar: is kind of an ETL. We are getting.
113 00:14:06.720 ⇒ 00:14:07.569 Robert Tseng: Okay, got it.
114 00:14:07.570 ⇒ 00:14:10.260 Awaish Kumar: And the other one is reverse ETL.
115 00:14:10.880 ⇒ 00:14:11.500 Robert Tseng: Yep.
116 00:14:12.150 ⇒ 00:14:13.440 Awaish Kumar: Okay.
117 00:14:13.600 ⇒ 00:14:15.629 Awaish Kumar: And for each of these, we need separate…
118 00:14:15.810 ⇒ 00:14:20.480 Awaish Kumar: Scripts, separate logics to bring in data, bring out, things like that.
119 00:14:21.410 ⇒ 00:14:23.610 Robert Tseng: Okay, they’re gonna ask about timeline.
120 00:14:23.850 ⇒ 00:14:26.119 Robert Tseng: And, like, kind of, which one are we going after?
121 00:14:26.910 ⇒ 00:14:30.270 Awaish Kumar: So, first of all is, like…
122 00:14:30.500 ⇒ 00:14:40.740 Awaish Kumar: I’m waiting on data migration part on Rayan to basically answer some of the questions and access, like, how we are going to ingest it, like, it’s their platform.
123 00:14:40.870 ⇒ 00:14:48.210 Awaish Kumar: Until and unless they gave us access to database, or they create some APIs, we are not able to push anything to Remo.
124 00:14:48.830 ⇒ 00:15:00.979 Awaish Kumar: And if they come up with, like, okay, I have different schema, like, and you should, like, transform the data, like, from, like, you know that, like, from the data
125 00:15:01.150 ⇒ 00:15:05.929 Awaish Kumar: They have changed in their entire concept and how they handle
126 00:15:06.060 ⇒ 00:15:09.860 Awaish Kumar: Prescriptions, treatment, things like that. Like, they have different,
127 00:15:10.460 ⇒ 00:15:15.140 Robert Tseng: Yeah, they have to map everything to whatever they’re… whatever they have, yeah.
128 00:15:15.450 ⇒ 00:15:32.139 Awaish Kumar: So, that is different. So, if they want us to, like, run, like, do all the transformations on the data coming from Bask, and then put it in the exact tables, like, that’s going to take time for us to build those scripts and the transformations.
129 00:15:32.330 ⇒ 00:15:33.840 Awaish Kumar: And for that.
130 00:15:34.020 ⇒ 00:15:40.930 Awaish Kumar: I shared a timeline of, like, if they want us to do a one-on-one just from BigQuery, put everything into the
131 00:15:41.490 ⇒ 00:15:48.009 Awaish Kumar: Like, in their table, and, like, in post-test, maybe? Then, like, maybe 2 weeks, but if it requires,
132 00:15:49.940 ⇒ 00:15:54.909 Awaish Kumar: Heavy transformations or writing some custom scripts, then it might take up to 4 weeks.
133 00:15:55.610 ⇒ 00:15:56.260 Robert Tseng: Yep.
134 00:15:56.440 ⇒ 00:16:02.020 Awaish Kumar: I just share it as a rough idea, until they share something with us, like…
135 00:16:02.250 ⇒ 00:16:03.860 Awaish Kumar: What is exactly needed?
136 00:16:06.020 ⇒ 00:16:06.660 Robert Tseng: Sure.
137 00:16:08.180 ⇒ 00:16:18.410 Awaish Kumar: And, yeah, that is the first thing, like, until and unless data is in Remo, it can’t be operational, and if it can’t be operational, we can’t get data from Remo to… for our analytic.
138 00:16:18.560 ⇒ 00:16:19.520 Awaish Kumar: Keep working.
139 00:16:20.170 ⇒ 00:16:20.930 Robert Tseng: Yeah.
140 00:16:20.930 ⇒ 00:16:24.089 Awaish Kumar: The data pipeline migration will be the second.
141 00:16:24.440 ⇒ 00:16:26.549 Awaish Kumar: Project after data migrations.
142 00:16:27.100 ⇒ 00:16:27.870 Robert Tseng: Okay.
143 00:16:32.770 ⇒ 00:16:36.020 Robert Tseng: I mean, you’re seeing my notes. Is this… this is it? Anything else?
144 00:16:37.560 ⇒ 00:16:39.639 Awaish Kumar: No, no, I just shared what I had to say.
145 00:16:39.800 ⇒ 00:16:40.460 Robert Tseng: Okay.
146 00:16:42.210 ⇒ 00:16:45.419 Robert Tseng: So what’s the third one? What’s the third work stream? I only see two.
147 00:16:45.970 ⇒ 00:16:50.869 Awaish Kumar: Yeah, yeah, these two are, like, relevant to Eden. Third one is remote.
148 00:16:50.870 ⇒ 00:16:51.779 Amber Lin: I was consulting.
149 00:16:51.780 ⇒ 00:16:53.650 Robert Tseng: Yeah. Okay.
150 00:17:03.380 ⇒ 00:17:11.050 Robert Tseng: Well, I mean, this is not the only thing we’re doing, like, Henry has stuff as well, so why are we calling it three work streams? Isn’t it actually…
151 00:17:11.630 ⇒ 00:17:14.560 Robert Tseng: I mean, seems like there’s… there’s more going on. So, like.
152 00:17:15.220 ⇒ 00:17:22.879 Robert Tseng: Yeah, help me underst… help me understand. We… I mean, this… I don’t see anything around Martech here, I don’t see Mixpanel, like, I don’t see customer
153 00:17:23.210 ⇒ 00:17:23.589 Robert Tseng: is…
154 00:17:23.599 ⇒ 00:17:42.899 Amber Lin: I see. This is just related to the… the data migration overall, that they’re building REMO, and that we need to help them migrate, that that’s two work streams related to that. Sure. And then, around the… the other work streams we have are the edge… that edge layer work that…
155 00:17:43.069 ⇒ 00:17:48.749 Amber Lin: Soran’s doing, and then affiliate work that we’re helping them do, and then farm ops. Yeah.
156 00:17:48.879 ⇒ 00:17:54.979 Amber Lin: a little bit of customer I.O, like, those are the main chunks of work that we’re working with.
157 00:17:57.149 ⇒ 00:18:08.450 Awaish Kumar: Alright, let’s see… Yeah, I think you’re able to see all of that in… under work streams… Workstream updates.
158 00:18:09.170 ⇒ 00:18:10.050 Awaish Kumar: I think…
159 00:18:11.450 ⇒ 00:18:13.500 Robert Tseng: Yeah… okay.
160 00:18:14.090 ⇒ 00:18:17.009 Robert Tseng: Yeah, yeah, I could pull in more details there, sure.
161 00:18:19.000 ⇒ 00:18:19.710 Robert Tseng: Okay.
162 00:18:21.080 ⇒ 00:18:21.740 Robert Tseng: Great.
163 00:18:21.740 ⇒ 00:18:25.359 Henry Zhao: Yeah, no, push editor layer and attribution, because I think those are related.
164 00:18:26.770 ⇒ 00:18:28.869 Henry Zhao: The end goal is attribution, right? So…
165 00:18:29.230 ⇒ 00:18:30.040 Robert Tseng: Yeah.
166 00:18:37.820 ⇒ 00:18:38.660 Robert Tseng: Okay.
167 00:18:43.900 ⇒ 00:18:49.459 Robert Tseng: I mean, you can carry on, I’m just… I’m just, like… I’m just creating an outline for myself, so…
168 00:18:49.460 ⇒ 00:18:50.050 Amber Lin: Yeah.
169 00:18:50.520 ⇒ 00:18:55.830 Amber Lin: Okay, I will use the rest of the time.
170 00:18:57.010 ⇒ 00:19:01.910 Amber Lin: Hopefully… Harry, I wanted to check on…
171 00:19:02.110 ⇒ 00:19:12.479 Amber Lin: your tickets, and then if you have updates for Zoran’s tickets, I really should include you in one of our stand-ups. Yeah, we can start here. You know, a way should feel.
172 00:19:12.480 ⇒ 00:19:17.100 Henry Zhao: Yeah. Always said that there’s still an error, so I need to look into that and see what the error is.
173 00:19:18.040 ⇒ 00:19:21.479 Henry Zhao: I don’t know why it’s in customer and marking folders, but yeah, I’ll remove from one of them.
174 00:19:21.880 ⇒ 00:19:22.510 Amber Lin: Okay.
175 00:19:26.930 ⇒ 00:19:28.010 Amber Lin: Boom.
176 00:19:28.010 ⇒ 00:19:29.649 Henry Zhao: That one I’m still working on.
177 00:19:29.840 ⇒ 00:19:32.070 Amber Lin: Do you think I can have that by today?
178 00:19:32.430 ⇒ 00:19:33.640 Henry Zhao: I’m gonna try.
179 00:19:36.250 ⇒ 00:19:41.160 Amber Lin: And then… I… I know you already recorded the.
180 00:19:41.160 ⇒ 00:19:46.499 Henry Zhao: Oh, I already did this. And I already set up the meeting with Katie, yeah. Okay, that’s awesome.
181 00:19:46.500 ⇒ 00:19:47.440 Amber Lin: John.
182 00:19:47.570 ⇒ 00:19:50.380 Henry Zhao: I hope people aren’t watching the loom, because I only got one email that said somebody watched it.
183 00:19:50.380 ⇒ 00:19:53.940 Amber Lin: Oh, okay, I’m gonna put it in the updates.
184 00:19:53.940 ⇒ 00:19:56.030 Henry Zhao: Yeah.
185 00:19:56.900 ⇒ 00:20:00.929 Henry Zhao: I already put one for UTMs, but yeah, just… yeah, the… under the template, yeah.
186 00:20:01.190 ⇒ 00:20:02.770 Henry Zhao: Okay, escalate, good. Okay, cool.
187 00:20:05.610 ⇒ 00:20:09.360 Henry Zhao: Because this only works if everyone participates and follows it.
188 00:20:11.900 ⇒ 00:20:17.229 Henry Zhao: That’s why next… yeah, that’s why next week we have to ensure that people are doing it and making the UTMs clean.
189 00:20:20.250 ⇒ 00:20:20.859 Amber Lin: Yeah, okay.
190 00:20:20.860 ⇒ 00:20:40.109 Henry Zhao: Okay, for 998, I’m glad everyone’s here, because I have a quick question. Before I turn off Segment for email sends and opens, I just want to make sure that it’s not going to break anything in Basque, or… because in Segment, it’s the webhook plus BASC web, thing that’s sending email sends and opens. Do you guys know of anything that might break if we just completely turn that off in Segment?
191 00:20:41.470 ⇒ 00:20:46.580 Henry Zhao: Like, is there any models, or is there any automation that is dependent on this, that anyone knows of?
192 00:20:51.010 ⇒ 00:20:51.690 Henry Zhao: Okay.
193 00:20:52.100 ⇒ 00:20:53.210 Demilade Agboola: Normal banger.
194 00:20:55.170 ⇒ 00:20:59.369 Henry Zhao: Yeah, I’m double-checking on my end, but I just wanted to also just run by the group to make sure there’s nothing that…
195 00:20:59.480 ⇒ 00:21:01.969 Henry Zhao: is hidden, or, like, you know what I mean?
196 00:21:02.490 ⇒ 00:21:06.349 Henry Zhao: Because there are some things that we don’t… didn’t even know about. We’re set up by people from long ago.
197 00:21:06.770 ⇒ 00:21:11.770 Henry Zhao: Okay, so I’ll turn that off today and email ELT about it, 3 emails that Robert told me to send it to.
198 00:21:12.510 ⇒ 00:21:15.200 Robert Tseng: Yep. And then 973, I just haven’t looked at yet, still.
199 00:21:16.060 ⇒ 00:21:17.510 Henry Zhao: It’s been really busy this week.
200 00:21:21.030 ⇒ 00:21:31.640 Amber Lin: Awesome. Then Zoran’s tickets here. Yeah, so we just met with Zoran, Cutter, Ryan, and Stuart. Basically, I think we’re good on track, but…
201 00:21:31.640 ⇒ 00:21:33.810 Henry Zhao: Zoran got a lot of other to-do items.
202 00:21:34.070 ⇒ 00:21:44.209 Henry Zhao: Basically, what we’re trying to do now is instead of having the GTM conversion event be, order completed, which is, like, not certain that they’re gonna convert, since it…
203 00:21:44.300 ⇒ 00:21:55.870 Henry Zhao: They could not submit their photo or their ID, which is required for it to be sent to the pharmacy. We want to fire it only after all those steps are completed, so Ryan and Zaron are looking into that.
204 00:21:56.200 ⇒ 00:22:12.889 Henry Zhao: And then the data is from EdgeLayer is flowing into BigQuery. I just need to start stitching now on user ID and hashed IP, and see how that looks. Obviously, if it doesn’t look good, I need to go back to Zuran and see what’s going on. But, that is in my ballpark now, at least.
205 00:22:13.040 ⇒ 00:22:18.860 Henry Zhao: And, next week we probably want to roll this out, if nothing breaks, to all Trident pages.
206 00:22:19.240 ⇒ 00:22:25.469 Henry Zhao: Because right now, it’s just a test on NAD Plus and some other pages. We want to roll that out to probably GLP-1 and the other pages.
207 00:22:28.430 ⇒ 00:22:29.110 Robert Tseng: Okay.
208 00:22:30.120 ⇒ 00:22:33.840 Amber Lin: Do you know if he… Checked Christina’s…
209 00:22:34.230 ⇒ 00:22:43.479 Amber Lin: work? I do not know of that. Okay, I’ll ask, because once he checks, we can help Christina do the dashboard, but if he doesn’t, like, we can’t.
210 00:22:44.020 ⇒ 00:22:45.330 Amber Lin: Okay, sounds…
211 00:22:45.330 ⇒ 00:22:49.810 Henry Zhao: seem… I mean, once he does that, I think it’s still… we still need some time to…
212 00:22:49.810 ⇒ 00:22:50.370 Amber Lin: for the…
213 00:22:50.370 ⇒ 00:22:51.949 Henry Zhao: to come in before we can do Kristen.
214 00:22:51.950 ⇒ 00:22:53.749 Amber Lin: Oh, I see. Okay, okay.
215 00:22:54.080 ⇒ 00:22:56.910 Henry Zhao: Because it just wasn’t implemented before this, so we didn’t have data coming in.
216 00:22:57.320 ⇒ 00:22:58.980 Amber Lin: So I will move…
217 00:22:58.980 ⇒ 00:22:59.600 Henry Zhao: time.
218 00:22:59.790 ⇒ 00:23:05.399 Amber Lin: Christina’s item out even further, so we will not have data.
219 00:23:05.780 ⇒ 00:23:06.720 Amber Lin: Alright.
220 00:23:07.210 ⇒ 00:23:10.779 Amber Lin: That was good. Thanks, everyone. Any other questions?
221 00:23:10.780 ⇒ 00:23:16.800 Henry Zhao: And then next week, I gotta, make some progress. So I’m gonna probably work on that a little bit today, also. We need some progress on forecasting stuff.
222 00:23:17.100 ⇒ 00:23:25.750 Henry Zhao: Because I want to bring that to the Wednesday meeting with Mitesh Qatar, etc. Just, to run by kind of my thoughts on how we’re doing the forecasting.
223 00:23:25.970 ⇒ 00:23:29.519 Henry Zhao: And see if it makes sense to them, but ultimately it’s for Jonah, right? So…
224 00:23:30.880 ⇒ 00:23:32.370 Henry Zhao: For Jonas or Adam, actually.
225 00:23:32.690 ⇒ 00:23:35.599 Henry Zhao: Robert, do you know if the forecasting dash is for Jonah or Adam?
226 00:23:36.320 ⇒ 00:23:36.800 Robert Tseng: It’s true.
227 00:23:36.800 ⇒ 00:23:44.309 Amber Lin: To forecasting, I’m a little bit confused. There are some projections by pharmacy, which is related more to Brad on the.
228 00:23:44.310 ⇒ 00:23:45.700 Henry Zhao: Yeah, this one I’m not talking about.
229 00:23:45.700 ⇒ 00:23:48.899 Amber Lin: And then there’s, like, finance forecasting.
230 00:23:48.900 ⇒ 00:23:57.040 Henry Zhao: Yeah, we have a… we want to do a forecasting dash where we can set the CAC and set, kind of, what we’re spending on ads, and kind of forecast
231 00:23:57.210 ⇒ 00:24:07.349 Henry Zhao: how much, how many customers are gonna come in, what they’re gonna buy, what revenue that’s gonna be, and also what the SLA would be, right? So, like, if right now
232 00:24:07.520 ⇒ 00:24:12.479 Henry Zhao: pharmacies are pushed to their edge. If we increase the amount of customers, that’s gonna push things over SLA.
233 00:24:13.050 ⇒ 00:24:13.430 Amber Lin: Oh.
234 00:24:13.430 ⇒ 00:24:16.589 Henry Zhao: So, it’s kind of that whole ecosystem, so that’s why it’s…
235 00:24:16.590 ⇒ 00:24:19.279 Amber Lin: So, it’s like a combined forecasting dash.
236 00:24:19.280 ⇒ 00:24:22.199 Henry Zhao: Yeah. And that’s why it’s 21 points, or even more.
237 00:24:22.200 ⇒ 00:24:23.120 Amber Lin: Okay, so…
238 00:24:23.120 ⇒ 00:24:23.710 Henry Zhao: How many, like…
239 00:24:23.710 ⇒ 00:24:26.800 Amber Lin: I moved this ticket from Robert to you?
240 00:24:27.810 ⇒ 00:24:30.489 Robert Tseng: No, no, the Brad projections are different.
241 00:24:30.490 ⇒ 00:24:31.040 Amber Lin: Oh, okay.
242 00:24:31.070 ⇒ 00:24:36.369 Robert Tseng: So, like, yeah, I mean, that… what I’m doing there is just gonna stay in Google Sheets. I’m not moving it that well.
243 00:24:36.370 ⇒ 00:24:37.279 Amber Lin: function that.
244 00:24:37.510 ⇒ 00:24:38.610 Amber Lin: Forecaster.
245 00:24:38.610 ⇒ 00:24:43.899 Henry Zhao: we’ll be in Google Sheets at first also, and I’m just going by, kind of, the plan on Wednesday.
246 00:24:44.250 ⇒ 00:24:49.249 Henry Zhao: To see if it makes sense to leadership, and also see if they have any inputs on…
247 00:24:49.520 ⇒ 00:24:52.059 Henry Zhao: things I may need to consider, things like that.
248 00:24:52.520 ⇒ 00:24:59.659 Robert Tseng: Yeah, I mean, there’s probably some overlap between your forecast and whatever. You saw my previous one before, so I don’t know if you want to…
249 00:25:00.080 ⇒ 00:25:05.350 Henry Zhao: No, I’m gonna do my own thing, Robert, and I think on Wednesday we can just see the similarities and…
250 00:25:06.520 ⇒ 00:25:10.790 Henry Zhao: it’s almost like we’re doing our own thing, and then we see how close we were, you know what I mean?
251 00:25:10.790 ⇒ 00:25:11.230 Robert Tseng: Okay.
252 00:25:11.230 ⇒ 00:25:18.889 Henry Zhao: I don’t want to be influenced by your stuff, I want to kind of do it my way, and then see how those work together, and if they make sense together, you know what I mean?
253 00:25:18.890 ⇒ 00:25:19.710 Robert Tseng: Mmm.
254 00:25:19.710 ⇒ 00:25:20.900 Henry Zhao: I don’t want bias.
255 00:25:21.370 ⇒ 00:25:22.000 Robert Tseng: Yep.
256 00:25:22.000 ⇒ 00:25:29.400 Amber Lin: Yeah, I can add a spike ticket, or just to add, like, requirements, and then what the plan is, I can add a spike ticket to this
257 00:25:30.390 ⇒ 00:25:30.710 Amber Lin: Okay.
258 00:25:30.710 ⇒ 00:25:32.070 Henry Zhao: Yeah, forecasting plan.
259 00:25:32.620 ⇒ 00:25:33.170 Amber Lin: Okay.
260 00:25:39.620 ⇒ 00:25:43.029 Amber Lin: Perfect cycle, and how much points do you think that’ll be?
261 00:25:45.970 ⇒ 00:25:47.719 Amber Lin: I have absolutely no idea.
262 00:25:47.930 ⇒ 00:25:49.990 Amber Lin: Okay. Sleep 3…
263 00:25:49.990 ⇒ 00:25:52.019 Henry Zhao: Yeah, put 3 for now, and I can adjust it.
264 00:25:52.220 ⇒ 00:25:52.950 Amber Lin: Alright.
265 00:25:53.340 ⇒ 00:25:56.899 Amber Lin: Sounds good. That’s… that’s all from me.
266 00:25:56.900 ⇒ 00:26:09.789 Robert Tseng: Okay, I had, like, a quick thing. So, I just pulled this cycles from the past month. I mean, we were doing, what, like… I mean, we changed our point system, but our target is 80, complete 60. Feels like we’re completing…
267 00:26:10.000 ⇒ 00:26:18.030 Robert Tseng: we’re completing 40. So, like, I don’t know, like, does this mean we’re… we’re only logging 40 hours a week? Is that kind of the target?
268 00:26:18.810 ⇒ 00:26:24.750 Henry Zhao: No, I think we need to break down some more of the bigger tasks, because now there are tasks going into multiple cycles.
269 00:26:25.320 ⇒ 00:26:26.080 Amber Lin: Yeah.
270 00:26:26.680 ⇒ 00:26:39.730 Amber Lin: there’s usually, I would say, 10 to 15 points that carries over, especially when we are not deploying tasks, PRs, on Fridays, so Thursday gets rolled over.
271 00:26:39.730 ⇒ 00:26:45.200 Robert Tseng: So, it’s more, like, somewhere between 60 and 80, or like, I don’t know, how do I… how am I supposed to read this?
272 00:26:45.200 ⇒ 00:26:50.329 Amber Lin: I think… Are you trying to read the hours that we do?
273 00:26:50.770 ⇒ 00:27:00.499 Robert Tseng: Well, last month, I was like, look, we changed our thing, we moved some people, like, I don’t know, this is just, like, to get… let them know, like, how our team is doing, like, I…
274 00:27:00.670 ⇒ 00:27:02.870 Robert Tseng: I don’t think they’re gonna look at…
275 00:27:03.370 ⇒ 00:27:09.929 Robert Tseng: Like, I… I just… this is a pure… this is a pure allocations readout to them. Like, it’s… it should just be one slide.
276 00:27:10.130 ⇒ 00:27:21.279 Robert Tseng: I’m trying to make the case, look, Zoran takes 15 hours a week, you need to add another… we need to increase our budget by 5K or whatever, if you want to keep him up while not slowing everyone else down.
277 00:27:21.370 ⇒ 00:27:23.420 Amber Lin: And I, yeah, I mean, there’s just, like.
278 00:27:23.430 ⇒ 00:27:27.620 Robert Tseng: I just… I don’t know if you can tell what I’m trying to do here.
279 00:27:27.620 ⇒ 00:27:35.180 Amber Lin: I see, I see. You have my hours report, I think you’re wanting the points equivalent of how much work we’re doing.
280 00:27:35.180 ⇒ 00:27:38.729 Robert Tseng: I mean, I’ve seen this, but, like, I don’t know, it’s not exactly what I want.
281 00:27:38.730 ⇒ 00:27:54.060 Henry Zhao: I will say two things. So one, I would say one thing we can start doing is… this is what so much Justin needed, right? So now that we’ve gone to one-week cycles, I think on Friday, Amber, we can break up things that went to the next cycle, that work was done in this cycle, into pieces, right?
282 00:27:54.060 ⇒ 00:27:54.400 Amber Lin: Yeah.
283 00:27:54.400 ⇒ 00:28:00.039 Henry Zhao: Like, that forecasting stuff, I did some… an attribution, I did a lot of work on that this week, but they got pushed to the next cycle.
284 00:28:00.400 ⇒ 00:28:17.980 Henry Zhao: So then next cycle looks overloaded, while this cycle looks like we under-delivered. So, I would say break that up. And then secondly, Robert, for the leverage, I would say, if you want to talk about Zarion and slowing things down, we gave them an estimate of 5 weeks for attribution. Like, that will take longer if we don’t increase the budget, you know what I mean? So I think that’s where our leverage is.
285 00:28:18.400 ⇒ 00:28:20.779 Robert Tseng: Okay, sure. Thank you, that’s helpful.
286 00:28:21.210 ⇒ 00:28:22.630 Robert Tseng: Yeah, Wish, go ahead.
287 00:28:23.470 ⇒ 00:28:31.930 Awaish Kumar: Also, some of the, like, the tickets are only the work we have done. It does not include the meetings time, and…
288 00:28:32.240 ⇒ 00:28:33.689 Awaish Kumar: Next slide, time of things.
289 00:28:33.690 ⇒ 00:28:34.100 Amber Lin: Yeah.
290 00:28:34.520 ⇒ 00:28:35.410 Henry Zhao: Exactly.
291 00:28:35.410 ⇒ 00:28:38.370 Amber Lin: We have a lot of meaningless clients, especially Henry.
292 00:28:38.370 ⇒ 00:28:38.690 Henry Zhao: Especially
293 00:28:39.170 ⇒ 00:28:44.619 Henry Zhao: There’s a lot of meetings on attribution, and I’m not logging those into, like, attribution’s hours, you know what I mean? But I could.
294 00:28:45.370 ⇒ 00:28:59.950 Robert Tseng: So how are we, like… yeah, I mean, I want them to know, like, look, our team is spending, like, 20% of our time in meetings, too, so, like, that has to be, like, layered on top of this. I just gotta… I just gotta give them that… the full idea of how our time’s being utilized.
295 00:28:59.950 ⇒ 00:29:05.180 Amber Lin: Yeah, I think let’s start logging those meetings. We can…
296 00:29:05.210 ⇒ 00:29:12.100 Amber Lin: say, per week, we can have a ticket as, like, meetings… one ticket per person is, like, oh, meeting time, or…
297 00:29:12.100 ⇒ 00:29:27.949 Amber Lin: Especially client meeting time, or time you use to answer their questions, or ad hoc questions, because there’s a lot that comes up. That’s what we’re doing on Urban STEM, so we have a placeholder, so each week we say, like, 3 hours at least is spent on, meetings, ad hoc.
298 00:29:28.090 ⇒ 00:29:30.420 Amber Lin: And just answering questions and all that.
299 00:29:31.650 ⇒ 00:29:33.740 Robert Tseng: Okay, yeah, I mean… I would still…
300 00:29:33.740 ⇒ 00:29:38.980 Henry Zhao: Yeah, I would say, like, last week I locked 35 hours, but I probably actually spent, like, 60 hours, because there’s time I need to, like, think about stuff.
301 00:29:39.310 ⇒ 00:29:41.619 Henry Zhao: like, I don’t know if… You know what I mean?
302 00:29:42.250 ⇒ 00:29:52.610 Robert Tseng: Yeah, I mean, that should all be doable. Like, I… I think we’re… we’re, like, trying… the PMs will tell you to just, like, I don’t know, hit whatever the target is in terms of
303 00:29:52.820 ⇒ 00:30:02.019 Robert Tseng: But, like, for me, I have a different lever. My lever is, give… give us more money, so, like, help me make that case. Like, that’s… that’s my… that’s my point, yeah.
304 00:30:02.020 ⇒ 00:30:11.009 Henry Zhao: So this week, at least, it was definitely a lot more time spent on the attribution and edge layer stuff. So meetings, thinking about the plan of how we’re gonna move forward, testing, those types of things.
305 00:30:11.260 ⇒ 00:30:23.080 Henry Zhao: And yeah, like I said, if they don’t increase the budget, maybe this will slow down, things will not get to be done in parallel. This is what I told Amber all week, is like, a lot of the work that was done this week needs to be done in parallel, right?
306 00:30:23.120 ⇒ 00:30:35.840 Henry Zhao: The UTM stuff, I need to get that out this week so that people at Eden can already start populating that sheet. If I don’t do that until next week, then people don’t populate until next week, and then that’s two weeks until UTMs get properly implemented. So…
307 00:30:36.260 ⇒ 00:30:42.439 Henry Zhao: Does that make sense? Like, if we don’t have enough hours, things don’t get done in parallel, and it actually gets even slower.
308 00:30:44.530 ⇒ 00:30:50.539 Robert Tseng: Yeah, Ember, this is, like, the… this is what I mean by, like, I need… I need the story. Like, I’ve… I’ve been… I can’t, like…
309 00:30:50.540 ⇒ 00:30:55.289 Amber Lin: I don’t think I even have enough to go and ask for more, like, this is incomplete right now, so…
310 00:30:55.890 ⇒ 00:30:56.640 Robert Tseng: Yeah.
311 00:31:01.100 ⇒ 00:31:01.560 Amber Lin: Mmm.
312 00:31:01.560 ⇒ 00:31:09.659 Robert Tseng: Okay. That’s basically the story, yeah, I don’t know if that’s clear, or if you have any other… No, no, it’s… I think I understand it. It’s clear, I just… you know.
313 00:31:09.780 ⇒ 00:31:28.139 Robert Tseng: this is under… this is under-reporting, but there’s… yeah, but, like, it’s, like, I need to be able to… to show, well, 20% extra comes for meetings, there’s stuff that’s happening in parallel, work that carries over, we get slowed down when stakeholders, like, yeah, I can, like, reason through all those things, but…
314 00:31:28.360 ⇒ 00:31:44.810 Robert Tseng: I mean, the point of this… having this monthly slide is… it doesn’t even have to be monthly. Like, I’m talking to them every week. Like, we should… we should view that as, like, a… like, I should be able to, at any week, be able to go and ask for more budget. Like, I… that’s what I… that’s what I want to be able to do. So, and I don’t… I don’t think we’re there yet.
315 00:31:45.320 ⇒ 00:31:49.590 Henry Zhao: Yeah, like, just this week, I’ve been in 10 hours of meetings, so…
316 00:31:51.230 ⇒ 00:31:59.760 Robert Tseng: Yeah, okay, well, I mean, I will… I will work with what I have, and I’m just gonna say things, but, like, it’s… without… without it being on paper, I don’t think they’re gonna approve it, so that’s all.
317 00:32:03.160 ⇒ 00:32:08.610 Henry Zhao: Yeah, this is not on Amber either, but yeah, Amber, like, if we can do the breakup of tasks on Friday, I think that will resolve a.
318 00:32:08.610 ⇒ 00:32:13.880 Amber Lin: Okay. Yeah. And then we should start logging meeting times as well.
319 00:32:13.880 ⇒ 00:32:14.480 Henry Zhao: Yeah.
320 00:32:14.710 ⇒ 00:32:15.350 Amber Lin: Yeah.
321 00:32:15.350 ⇒ 00:32:16.040 Robert Tseng: Yep.
322 00:32:16.450 ⇒ 00:32:24.300 Henry Zhao: Okay. It’s kind of annoying for me to go into Clockify and, like, keep adjusting things when there’s, like, pop-up meetings like this week, because it breaks up my funk, but I’m doing it, so…
323 00:32:24.300 ⇒ 00:32:32.639 Amber Lin: Oh, do you know that you can add it based on the calendar? So you can… if you integrate your calendar, you can just copy…
324 00:32:32.760 ⇒ 00:32:39.339 Amber Lin: your calendar. It’s like, I’ll be doing stuff, and then, like, Cutter will… Stuart will, like, invite me to a huddle, it’s just, like… Of course.
325 00:32:39.340 ⇒ 00:32:43.640 Henry Zhao: There’s so many moving pieces, yeah. And it’s like, I don’t have time to worry about Clockify while I’m worrying about, like, what’s.
326 00:32:43.640 ⇒ 00:32:44.260 Amber Lin: Listen.
327 00:32:44.260 ⇒ 00:32:45.020 Henry Zhao: lime.
328 00:32:45.170 ⇒ 00:32:48.110 Henry Zhao: like, bookmarking what task I’m working on, you know what I mean? It’s just…
329 00:32:48.110 ⇒ 00:32:49.490 Amber Lin: Makes sense.
330 00:32:49.490 ⇒ 00:32:53.609 Henry Zhao: I don’t have time to, like, micromanage myself while I’m, like, trying to… Get work done, you know?
331 00:32:57.500 ⇒ 00:33:00.589 Henry Zhao: Alright, bye everyone! I guess everyone Without saying goodbye.
332 00:33:00.590 ⇒ 00:33:03.600 Amber Lin: Oh, wow, okay.
333 00:33:03.600 ⇒ 00:33:06.320 Henry Zhao: We were, like, in this heated discussion, and people were just like, alright, I’m out.
334 00:33:06.750 ⇒ 00:33:09.339 Amber Lin: That was so funny. Thank you.
335 00:33:09.340 ⇒ 00:33:10.260 Henry Zhao: Thanks, Robert, take care.
336 00:33:10.260 ⇒ 00:33:10.920 Amber Lin: Bye.
337 00:33:10.920 ⇒ 00:33:11.610 Henry Zhao: Bye.