Meeting Title: Eden Team Weekly Sync Date: 2025-07-23 Meeting participants: Fireflies.ai Notetaker Tigran, Robert Tseng, Awaish Kumar, Annie Yu, Amber Lin, Demilade Agboola, Henry Zhao


WEBVTT

1 00:01:59.000 00:02:04.410 Amber Lin: Hi, team missing Demo audit. We’ll wait a little bit.

2 00:02:08.539 00:02:14.270 Amber Lin: See? Oh, Robert, thank you for adding me to all the external channels.

3 00:02:14.490 00:02:16.790 Robert Tseng: Yeah, no rush on any event. I know it’s a lot

4 00:02:18.330 00:02:22.060 Amber Lin: I will read it one by one.

5 00:02:22.240 00:02:26.609 Robert Tseng: Yeah, it’s basically a channel for every team. And we work with a lot of teams.

6 00:02:27.460 00:02:28.030 Robert Tseng: Yeah.

7 00:02:28.240 00:02:34.129 Amber Lin: Yes, I could tell. They’re not named very consistently.

8 00:02:34.250 00:02:39.140 Amber Lin: but I guess is, are they like Eden’s internal channels?

9 00:02:39.790 00:02:52.299 Robert Tseng: Yeah, so basically, yeah, most of them are eaten in internal channels. I don’t actually know what they look like in brain force. To be honest, because I just use my Eden email. But yeah, they’re yeah. It’s

10 00:02:52.720 00:02:57.209 Robert Tseng: you. I think you can rename it whatever you want. On on your side.

11 00:02:57.540 00:02:58.170 Amber Lin: Hmm!

12 00:02:59.110 00:03:02.450 Amber Lin: So just to make sure

13 00:03:02.680 00:03:06.960 Amber Lin: how many channels in total, I just want to make sure I have all of them.

14 00:03:08.813 00:03:13.060 Robert Tseng: Well, I’m in. I have like 7, but you probably have, like 5 or 6.

15 00:03:13.520 00:03:14.700 Amber Lin: Okay.

16 00:03:14.700 00:03:16.774 Robert Tseng: You’re not in the exact channel.

17 00:03:17.560 00:03:19.240 Robert Tseng: Yeah, I don’t think I’ll add you into that.

18 00:03:19.640 00:03:23.590 Robert Tseng: because that’s really just a yeah, a line for Josh to reach me.

19 00:03:23.590 00:03:26.129 Amber Lin: Yeah, I had. I think I have

20 00:03:26.480 00:03:28.700 Amber Lin: 2, 3, 4, 5, 6, 6,

21 00:03:29.020 00:03:31.579 Amber Lin: 6, plus our internal. Yeah, that should work.

22 00:03:33.340 00:03:41.399 Amber Lin: Okay, we’ll get to that. I’ll share my screen, and if you can see.

23 00:03:44.840 00:03:54.410 Amber Lin: So I put it on the calendar, asked them for Thursday or Friday, which I think we need to probably meet to do a

24 00:03:54.550 00:03:57.579 Amber Lin: a sync on the internal roadmap.

25 00:03:58.930 00:04:06.320 Amber Lin: Yeah. So let’s see, my calendar is so bad. Are you usually online esc time?

26 00:04:08.200 00:04:08.709 Awaish Kumar: Yes.

27 00:04:08.710 00:04:11.140 Amber Lin: Until like 5 Pm. Est time.

28 00:04:13.330 00:04:15.160 Awaish Kumar: I prefer until 2 Pm. But.

29 00:04:15.340 00:04:16.000 Amber Lin: Oh, okay.

30 00:04:16.000 00:04:20.289 Awaish Kumar: I’m available after, like, in case in case it’s urgent. Yeah.

31 00:04:21.490 00:04:23.530 Amber Lin: Okay, I’ll try to.

32 00:04:23.530 00:04:29.540 Robert Tseng: I think they also prefer morning, because they’re also kind of based around oasis time zone. So just Fyi, you probably.

33 00:04:29.540 00:04:30.750 Amber Lin: We won’t get them.

34 00:04:30.750 00:04:34.160 Robert Tseng: Yeah, they’re like an India outsource team or something.

35 00:04:34.160 00:04:36.790 Amber Lin: I see, so they’ll probably say

36 00:04:37.380 00:04:43.300 Amber Lin: Friday. Okay. So, Alicia, I’ll aim to meet with you on.

37 00:04:44.456 00:04:47.360 Awaish Kumar: I’m out of office.

38 00:04:47.830 00:04:50.349 Amber Lin: Oh, you’re out! You’re out of office tomorrow.

39 00:04:50.870 00:04:54.920 Awaish Kumar: Yeah, we can meet today and with Eden on Friday.

40 00:04:56.428 00:05:05.230 Amber Lin: Okay. So let me. I I don’t think I see that you’re out of office on your calendar. Probably that’s why I was. I asked them

41 00:05:05.700 00:05:08.569 Amber Lin: day, okay, I just.

42 00:05:09.120 00:05:13.000 Awaish Kumar: I added on the like linear ask, but I don’t know.

43 00:05:13.448 00:05:20.619 Amber Lin: Okay, I see. I see no worries. They responded. I will get back to that.

44 00:05:20.730 00:05:22.970 Amber Lin: Okay, God.

45 00:05:29.650 00:05:35.349 Amber Lin: okay. I’ll see if I can grab a slot. Today I’m just my calendar just very bad.

46 00:05:37.330 00:05:42.760 Amber Lin: maybe we can shorten grooming to half an hour and the the rest of half an hour I’ll meet with you.

47 00:05:43.470 00:05:45.640 Amber Lin: Okay, I think I’ll do that.

48 00:05:48.550 00:05:49.510 Amber Lin: 5,

49 00:05:53.730 00:05:54.850 Amber Lin: all right.

50 00:05:58.090 00:05:59.250 Amber Lin: Let’s see.

51 00:06:00.170 00:06:05.910 Amber Lin: And did Mattesh get back to you on on this.

52 00:06:07.290 00:06:15.689 Annie Yu: Yes, he’s good with good with this, but he also asked for something else, and I created another ticket for myself.

53 00:06:16.030 00:06:19.149 Annie Yu: It’s not urgent, so I put it in

54 00:06:19.780 00:06:26.479 Annie Yu: as a medium tag you in that ticket. I think it’s in probably still in the next cycle.

55 00:06:26.480 00:06:27.510 Amber Lin: Hmm, okay.

56 00:06:27.510 00:06:30.010 Annie Yu: But for this one he’s good. He’s good.

57 00:06:30.550 00:06:32.060 Amber Lin: We’re okay. Closing that out.

58 00:06:32.060 00:06:32.670 Annie Yu: Yeah.

59 00:06:32.670 00:06:35.559 Amber Lin: Awesome. Let me see.

60 00:06:37.180 00:06:45.030 Amber Lin: you were, are we doing that? The other requests in this cycle we have like this cycle has, like a few days left.

61 00:06:47.290 00:06:52.670 Annie Yu: I mean we can. I’m not sure if I can get to my 2.2.

62 00:06:52.990 00:06:56.729 Annie Yu: So I depends on which one you want me to prioritize, I guess.

63 00:06:58.112 00:07:02.450 Amber Lin: Was his request. I’m just trying to fine.

64 00:07:02.450 00:07:10.289 Annie Yu: Yeah, he right now we have the weekly breakdown, and he will like to have a monthly and day.

65 00:07:10.290 00:07:11.400 Amber Lin: Oh!

66 00:07:11.400 00:07:12.440 Annie Yu: View.

67 00:07:13.136 00:07:14.530 Amber Lin: Let’s see.

68 00:07:15.780 00:07:18.860 Amber Lin: So that one.

69 00:07:19.860 00:07:20.760 Annie Yu: Yeah.

70 00:07:20.760 00:07:22.309 Amber Lin: What project is that?

71 00:07:25.040 00:07:27.719 Annie Yu: Don’t think there’s a direct project for.

72 00:07:27.720 00:07:31.320 Amber Lin: No worries. I’ll put it in. Ad hoc, all right.

73 00:07:35.650 00:07:36.480 Amber Lin: Okay.

74 00:07:36.710 00:07:43.060 Amber Lin: So there’s how, how? What’s the estimate of this? How long would it take you.

75 00:07:44.183 00:07:45.839 Annie Yu: This. 5, 1, 8.

76 00:07:46.290 00:07:47.310 Amber Lin: Yeah, 5, 1, 8.

77 00:07:47.660 00:07:51.170 Annie Yu: Shouldn’t take the loan. I think 1 point is fair.

78 00:07:51.430 00:07:52.180 Amber Lin: Okay?

79 00:07:56.390 00:07:58.349 Amber Lin: Alright. So I think it’s

80 00:07:58.460 00:08:01.390 Amber Lin: we you have these 3 left.

81 00:08:01.520 00:08:04.549 Amber Lin: It’s 2.1 still in progress.

82 00:08:04.862 00:08:11.729 Annie Yu: Yeah, I I can kill this today. But then it’s the 2.2 that I’m not sure if I can.

83 00:08:13.090 00:08:29.499 Amber Lin: I see, because I think reviewing might take some time. Let’s do 2.1, and then let’s do this one pointer, and then we can get 2.2 started, and then we’ll aim for next cycle, because this is 5 points. I don’t think you can complete it in

84 00:08:30.160 00:08:31.670 Amber Lin: the

85 00:08:32.010 00:08:39.550 Amber Lin: the 3 days, if this one’s still in progress, so we’ll we’ll see you can start it, and maybe we won’t finish it. This cycle.

86 00:08:39.710 00:08:42.650 Annie Yu: Okay, so do the 5, 1, 8 before that.

87 00:08:43.309 00:08:44.109 Annie Yu: Okay.

88 00:08:44.660 00:08:50.889 Amber Lin: Okay, let’s see, how’s how’s this one.

89 00:08:50.890 00:09:01.060 Annie Yu: Yeah, this one, I realize the snapshot dashboard I created was not clean. So because there are multiple

90 00:09:01.270 00:09:09.740 Annie Yu: updates within even a snapshot date. So I I have a threat with Damalade on this, and I’m asking him to create another

91 00:09:10.000 00:09:14.020 Annie Yu: model that just returns one row per day.

92 00:09:16.240 00:09:19.100 Robert Tseng: Is this? For, like snapshots of ncac.

93 00:09:19.300 00:09:20.150 Annie Yu: Yeah.

94 00:09:20.150 00:09:20.760 Robert Tseng: Okay.

95 00:09:22.870 00:09:25.569 Annie Yu: Yeah. So I think we’ll we’ll have

96 00:09:25.980 00:09:29.970 Annie Yu: to have another model from Demo all day, and I’m not sure if he has the ticket.

97 00:09:30.130 00:09:30.820 Annie Yu: But.

98 00:09:30.820 00:09:31.490 Amber Lin: Hmm!

99 00:09:32.010 00:09:33.109 Amber Lin: I see.

100 00:09:33.110 00:09:36.199 Demilade Agboola: No ticket necessary. A ticket, I mean.

101 00:09:36.540 00:09:40.094 Demilade Agboola: there isn’t tickets to that model. Update.

102 00:09:42.319 00:09:45.259 Demilade Agboola: sorry. I would like to say that

103 00:09:47.380 00:09:50.509 Demilade Agboola: The model will allow us. See what those changes

104 00:09:51.170 00:09:54.510 Demilade Agboola: are, but not necessarily what causes those changes?

105 00:09:56.420 00:10:17.290 Demilade Agboola: So we we can see that, hey, the the value of the the customer of the count of the customers changed from this amount to this amount, and therefore that affected how our value, for you know, Ncac, or whatever based off that. But the cause of that change will still be unknown.

106 00:10:18.470 00:10:22.060 Demilade Agboola: because what we’re taking snapshot of is the aggregate.

107 00:10:24.810 00:10:32.369 Demilade Agboola: So what I. What I’m trying to do now is also create. So you can create a ticket. But like, I will do 2 things. Now, I’m going to create.

108 00:10:32.550 00:10:41.150 Demilade Agboola: split the the cities in the model into smaller into. I’m going to split them up

109 00:10:41.480 00:10:51.969 Demilade Agboola: so before the aggregated I will take snapshots of them, so I can see what the change was before it gets rolled up. I can see what changes from on a day to day basis.

110 00:10:53.750 00:11:07.159 Robert Tseng: Yeah, where you can add, you can just throw these into ad, hoc, I’m actually creating a separate project just because there are multiple tickets that Andy, Dave a lot are doing for this. It’s not like a simple thing. So I’m I think I’m I’m just. I’m just creating a different project for it.

111 00:11:07.160 00:11:11.169 Amber Lin: Alright that would! How long would that take you?

112 00:11:12.310 00:11:19.800 Demilade Agboola: The snapshots. I that should be done today, all things clinical. So I would say 1, 2 points. But still today.

113 00:11:19.800 00:11:25.882 Amber Lin: Okay, awesome. Because I I just aware of your time because you’re gonna be out of office.

114 00:11:26.670 00:11:27.100 Demilade Agboola: Yeah.

115 00:11:27.420 00:11:30.010 Amber Lin: Yeah, so. Alright.

116 00:11:30.010 00:11:36.040 Annie Yu: Sorry? Can I ask one more question? So? And what’s the second thing that you were? Gonna say.

117 00:11:36.360 00:11:45.139 Demilade Agboola: Oh, oh, yeah, my bad. I was. Gonna say that I would also your request so that you can also have those numbers in a dashboard form. So you can use it.

118 00:11:46.010 00:11:51.559 Demilade Agboola: Okay? So so I expect just one role for.

119 00:11:53.290 00:11:56.580 Annie Yu: Oh, yeah, okay, that’s great. Thank you.

120 00:11:57.760 00:12:05.789 Amber Lin: Okay, did. I know we shared this with Adam, thinking Annie, did he confirm that he received it? Can we close that out.

121 00:12:06.110 00:12:06.750 Annie Yu: I don’t.

122 00:12:06.750 00:12:07.599 Amber Lin: I don’t know where it is.

123 00:12:07.600 00:12:10.728 Annie Yu: Why, I’m not sure if he reacted it.

124 00:12:11.120 00:12:14.690 Amber Lin: Okay. So we will.

125 00:12:16.920 00:12:18.149 Annie Yu: Think, how much.

126 00:12:18.150 00:12:18.800 Amber Lin: All right.

127 00:12:18.800 00:12:20.500 Annie Yu: He did not.

128 00:12:20.500 00:12:24.630 Amber Lin: Okay? Well, we’ll double check again. So he hasn’t responded yet.

129 00:12:25.450 00:12:29.560 Robert Tseng: It’s okay. If he doesn’t respond, that’s a good thing. That’s usually just he’s like.

130 00:12:30.050 00:12:31.829 Robert Tseng: yeah. So it’s just yeah.

131 00:12:31.830 00:12:32.560 Amber Lin: Okay. Okay.

132 00:12:32.560 00:12:41.104 Robert Tseng: Yeah, he’s not gonna give us like requirements. He’s just like he wants to see something I can anticipate. Why, why he wanted to look at it! He’s

133 00:12:41.410 00:12:41.940 Amber Lin: See it.

134 00:12:41.940 00:12:42.470 Robert Tseng: Yeah.

135 00:12:43.300 00:12:44.720 Amber Lin: I see. Okay.

136 00:12:45.381 00:12:48.330 Amber Lin: Robert, can we close this out.

137 00:12:53.130 00:12:54.140 Robert Tseng: I guess

138 00:12:54.340 00:12:59.930 Robert Tseng: Henry, did Bobby ever send you anything that he said that he was gonna send cause like this is one of those things where he.

139 00:13:02.030 00:13:04.430 Henry Zhao: Yeah, we should reach out to him on on slack.

140 00:13:04.860 00:13:05.600 Henry Zhao: Okay? Well.

141 00:13:06.840 00:13:11.149 Robert Tseng: I guess Annie recalculated the repurchase rate herself. Right? So

142 00:13:11.580 00:13:19.060 Annie Yu: Pretty close. He’s got 71 as of the date when he provided that to you, and we got 70%. So I

143 00:13:20.690 00:13:22.139 Annie Yu: I’m not.

144 00:13:22.140 00:13:29.024 Robert Tseng: I think that’s fine. We could just close it out. I just wanted a benchmark that like, okay, right now, we purchase rates are 70% right? But

145 00:13:31.110 00:13:43.409 Robert Tseng: It’s I mean, which makes sense. You’re you’re you’re on. You’re getting a pretty sticky product. But you know, with this life cycle work. If we are able to impact that number and increase to like 75,

146 00:13:43.760 00:13:46.099 Robert Tseng: then I that would be.

147 00:13:46.420 00:13:51.317 Robert Tseng: that’s I would like to be able to to take credit for that, and with with the

148 00:13:51.910 00:13:55.699 Robert Tseng: customer I/O and Cdp work that we’re enabling.

149 00:13:58.460 00:13:59.140 Annie Yu: Nice.

150 00:13:59.900 00:14:06.359 Amber Lin: Okay. So that Rebecca is getting back to you on that 1.1.

151 00:14:06.360 00:14:13.330 Annie Yu: Oh, she was ask asking for a different thing. So but I’m I’m just documenting it here. But.

152 00:14:13.330 00:14:13.850 Amber Lin: Okay.

153 00:14:14.270 00:14:18.739 Annie Yu: For the items within this ticket. It’s done.

154 00:14:20.590 00:14:27.970 Amber Lin: Yeah, sounds good. I’ll check in tomorrow. If if she doesn’t confirm, I’ll make a different ticket for whatever she is requesting.

155 00:14:29.335 00:14:32.989 Amber Lin: For a wish right here.

156 00:14:34.060 00:14:37.560 Amber Lin: Did we do the weekly Zendesk Sync.

157 00:14:44.280 00:14:47.769 Awaish Kumar: So you and we don’t need that right anymore.

158 00:14:48.470 00:14:53.739 Amber Lin: I see we. We moved it to polytomic. So we don’t need to do manual syncs anymore. Which.

159 00:14:54.426 00:14:57.980 Robert Tseng: I still need to get their credit card to pay for that.

160 00:14:58.210 00:14:59.255 Amber Lin: Okay.

161 00:15:09.460 00:15:10.920 Robert Tseng: Yeah, you can just assign it.

162 00:15:11.980 00:15:18.730 Amber Lin: Hmm, okay, updates on these tickets. Thanks.

163 00:15:18.730 00:15:22.230 Awaish Kumar: Yeah, I shared like 2, 4, 9 is is done right?

164 00:15:23.480 00:15:24.680 Awaish Kumar: And

165 00:15:26.110 00:15:37.360 Awaish Kumar: for the audit I actually, I worked on figuring out what fields and tables we are using. I have marked those already. So the next next is to like

166 00:15:37.914 00:15:43.220 Awaish Kumar: like kind of copy everything to show as the.

167 00:15:43.370 00:15:44.259 Amber Lin: To show that. Yeah.

168 00:15:44.260 00:15:47.959 Awaish Kumar: Future state like this is the current state. Now we are going to

169 00:15:48.170 00:16:01.269 Awaish Kumar: have have to click copy most of it. As it is, I will just have to change one table completed orders in in so it can have the kind of orders and order. Item, kind of

170 00:16:01.670 00:16:04.343 Awaish Kumar: schema. And

171 00:16:05.980 00:16:21.729 Awaish Kumar: yeah, after that change I’m I have sent a message in slack with the demo a day to like Sync with him on kind of requests. He’s like he’s sending maybe some ad hoc request to get some data from Bask, and

172 00:16:22.080 00:16:26.899 Awaish Kumar: maybe some sheets we are working on. So we I can

173 00:16:27.420 00:16:40.669 Awaish Kumar: review those to figure out like what can be automated through the new Emr system. And we can include that there. So and all this exercise can like have us create a roadmap.

174 00:16:41.410 00:16:47.050 Amber Lin: See. So the audit is pretty much done. What you’re doing with them a lot is for the roadmap right.

175 00:16:47.050 00:16:55.469 Awaish Kumar: So current issues like one. So this is audit, was the data which is directly coming from bask system to via segment.

176 00:16:56.223 00:17:01.380 Awaish Kumar: There is some data which we are reading from Google sheets which might be

177 00:17:01.680 00:17:06.449 Awaish Kumar: like, for example, product mapping sheet. And it isn’t being maintained by some product team

178 00:17:07.375 00:17:09.900 Awaish Kumar: in Eden, like, we can

179 00:17:10.260 00:17:19.200 Awaish Kumar: see if that can be automated through new Emr, so we get product data and the cogs data directly from Sis Emr system. Instead of

180 00:17:19.450 00:17:20.530 Awaish Kumar: Google sheets.

181 00:17:20.530 00:17:22.580 Amber Lin: Yeah, sorry. I

182 00:17:23.210 00:17:29.879 Amber Lin: I’m just trying to understand where in the Emr progress we are. So I know we’re going to audit. And we’re going to do the road

183 00:17:30.280 00:17:34.090 Amber Lin: we’re going to present to them. So I so yeah, yes.

184 00:17:35.110 00:17:37.589 Awaish Kumar: Audit. We can.

185 00:17:38.080 00:17:39.991 Awaish Kumar: Yeah, we can keep it. Because

186 00:17:40.590 00:17:45.900 Awaish Kumar: what I’m saying trying to say is that like I mentioned few steps last time we met.

187 00:17:47.350 00:17:52.620 Amber Lin: So could, like 2 of the steps, are done. 3, rd one is to create a future state of this.

188 00:17:52.620 00:17:53.110 Amber Lin: Hmm.

189 00:17:53.110 00:17:57.170 Awaish Kumar: And then 1, 2 get like, the

190 00:17:57.290 00:18:10.169 Awaish Kumar: apart from the data which we are getting via some tools. We are also getting some data through some Google sheets. So that’s the like, next 2 steps to to

191 00:18:11.366 00:18:13.784 Awaish Kumar: automate. All this

192 00:18:14.590 00:18:16.860 Amber Lin: Hmm, okay.

193 00:18:17.230 00:18:23.830 Amber Lin: Sounds good volume, event, volume tracker and big.

194 00:18:23.830 00:18:25.630 Awaish Kumar: Yeah. I haven’t looked at others yet.

195 00:18:25.630 00:18:28.660 Amber Lin: Okay, streamline ticket, deletion source.

196 00:18:29.610 00:18:32.789 Amber Lin: Is this still? Is this still an important thing?

197 00:18:32.790 00:18:33.699 Awaish Kumar: Yeah, okay.

198 00:18:38.236 00:18:45.210 Demilade Agboola: Robert, for the deletion sheet. Is that a thing that the agency manages.

199 00:18:45.900 00:18:51.679 Robert Tseng: I don’t think they I don’t know I don’t. None of us have created it yet. I think I was asking a wish if we have.

200 00:18:52.010 00:18:52.730 Demilade Agboola: Oh, no! They.

201 00:18:52.730 00:18:53.410 Robert Tseng: Give back.

202 00:18:53.410 00:18:56.139 Awaish Kumar: I created the sheet. But yeah, I just

203 00:18:56.340 00:18:58.649 Awaish Kumar: not created in any folder, I think.

204 00:18:59.240 00:19:02.670 Robert Tseng: Oh, okay, well, I don’t think I’ve shared it with them. So.

205 00:19:03.100 00:19:07.880 Demilade Agboola: Oh, okay, cause that was part of the sheets. Part of sheets I shared with.

206 00:19:07.880 00:19:08.770 Robert Tseng: Yeah.

207 00:19:08.880 00:19:15.610 Robert Tseng: I’m looking at your tea ground message right now. He he just seems confused. I’m like, okay, I need to figure out like, well.

208 00:19:15.880 00:19:20.789 Robert Tseng: well, so Tigro is not gonna be on the hook for like any of this stuff, like, I think.

209 00:19:21.680 00:19:28.530 Robert Tseng: yeah, we can let him know, like these are all the things we need you to go and chase the Eden. Keep on. Okay, maybe that’s how I’ll phrase phrase it.

210 00:19:28.810 00:19:31.410 Robert Tseng: I think what we need to do is turn this into.

211 00:19:31.740 00:19:39.790 Robert Tseng: Okay, I’ll I’ll review. It’s in the data platform documentation core g sheets. That’s that’s the tab, right?

212 00:19:40.420 00:19:45.859 Demilade Agboola: Yeah. So the sheets, and then the tabs that we we use are there.

213 00:19:46.760 00:19:47.390 Robert Tseng: Okay.

214 00:19:47.840 00:19:58.850 Robert Tseng: So if it ends up being like, okay, maybe we need some of the tab like, Hey, this needs to be checked on weekly, or whatever we. I just need to give him like a like a task list for him to go and do

215 00:19:59.260 00:20:02.129 Robert Tseng: so I think that’s what I’ll probably add to this sheet.

216 00:20:02.640 00:20:13.709 Robert Tseng: But yeah, okay, so frequency go weekly, weekly, weekly weekly.

217 00:20:13.980 00:20:22.049 Robert Tseng: Okay, maybe we’ll add a description as well. Just so he knows what the heck he’s looking at.

218 00:20:25.230 00:20:31.080 Robert Tseng: okay. But yeah, no, I think you were on the right track. So I think this is what I wanted him to do. So.

219 00:20:33.180 00:20:33.710 Robert Tseng: Okay.

220 00:20:33.710 00:20:36.410 Amber Lin: Should I document it as tickets anywhere.

221 00:20:37.545 00:20:44.979 Robert Tseng: I think we can close. We can close out this ticket, this remind ticket deletion source. This is kind of more related to something else. So we’re good.

222 00:20:44.980 00:20:47.260 Amber Lin: Okay, sounds good.

223 00:20:47.500 00:21:00.329 Amber Lin: I sent a reminder to Rebecca yesterday. Were you able to get in touch with her after our meeting.

224 00:21:01.793 00:21:16.179 Demilade Agboola: Yes, so I don’t know. Rebecca is now basically that, especially when it comes to Semoglutide since November 2024, they have only been.

225 00:21:16.490 00:21:17.979 Demilade Agboola: There’s only been one

226 00:21:18.290 00:21:26.559 Demilade Agboola: change, basically. So there was a change in November 24, th and there was a change in cogs pricing in, I think, June, I think that’s it, really

227 00:21:27.270 00:21:30.779 Demilade Agboola: and I’m saying that doesn’t seem to align with

228 00:21:31.180 00:21:38.749 Demilade Agboola: like, basically, I was just telling what Josh is talking about cogs cog, because he’s like right now things do change way more often than that.

229 00:21:40.900 00:21:44.999 Demilade Agboola: And so we’re talking to Jonah. I know you tag, Jonah.

230 00:21:45.000 00:21:45.520 Robert Tseng: Yeah.

231 00:21:45.710 00:21:53.000 Demilade Agboola: Of projects. And I just basically just asked her, because I know he’s a finance person. And in things like this, finance people tend to have

232 00:21:53.400 00:21:56.080 Demilade Agboola: definitely better records because they need to have that

233 00:21:56.633 00:22:01.380 Demilade Agboola: so I just asked him if he can provide if he has any way to provide historical cogs.

234 00:22:01.881 00:22:05.860 Demilade Agboola: He hasn’t yet responded, because I was like 20 min ago.

235 00:22:07.530 00:22:17.779 Demilade Agboola: yeah, but I don’t. I don’t think Rebecca will be the best like I mean, obviously she handles negotiation, but I don’t think she necessarily. And also she also mentioned that, like building out the sheet will be

236 00:22:18.220 00:22:20.140 Demilade Agboola: quite the assignment.

237 00:22:20.732 00:22:21.659 Demilade Agboola: So I don’t think.

238 00:22:21.660 00:22:22.050 Amber Lin: Yeah.

239 00:22:22.050 00:22:25.640 Demilade Agboola: A route would be helpful or productive.

240 00:22:26.130 00:22:26.930 Amber Lin: Okay.

241 00:22:27.450 00:22:33.149 Amber Lin: So we should change our stakeholder and then get in touch with Jonah for for the sheet.

242 00:22:33.810 00:22:35.320 Demilade Agboola: Ideally, yes.

243 00:22:35.660 00:22:41.700 Robert Tseng: Yeah, I think what I’m hearing from from that thread, like, I don’t think we’re gonna be able to retroactively like

244 00:22:42.050 00:22:46.590 Robert Tseng: do anything about cogs, for now I think if anything, we just need to have the

245 00:22:46.850 00:22:52.340 Robert Tseng: the change logs going forward. Yeah. So

246 00:22:52.530 00:23:01.240 Robert Tseng: I think the updating the cost model with more granularity. I think we can do that. Handling duplicate cogs. I think we already are doing that.

247 00:23:01.370 00:23:19.600 Robert Tseng: I think the retroactively kind of like getting past cogs. I don’t think we’re gonna get it. I think there’s a conflict of interest. One Jonah started pretty recently. There’s no way he has more data than we do, so he’s not going to be able to give you that. And then 2, I think, Rebecca I mean

248 00:23:20.240 00:23:26.070 Robert Tseng: she’s a bit like she she doesn’t.

249 00:23:26.380 00:23:36.649 Robert Tseng: I think she’s, I think, since she’s intentionally not helping, I think it’s just. She probably doesn’t have a record of it. And so we keep putting that pressure on her. She’s not gonna give it, and

250 00:23:36.770 00:23:46.479 Robert Tseng: like her expectation is not aligned with Josh. So I I just, I guess I’m just trying to say I, it’s okay. If she doesn’t give it, we just have to accept that.

251 00:23:47.080 00:23:50.749 Robert Tseng: She has been flying blind up into this point

252 00:23:51.142 00:23:59.709 Robert Tseng: and she’s she’s probably not gonna be able to provide that information. We just have to be able to go get it ourselves in the future, which we will. Once we are able to

253 00:24:00.310 00:24:14.619 Robert Tseng: integrate directly with the pharmacies, which is kind of something that’s coming up in a in a month or so. But yeah, it’s kind of just. We’ll just get whatever she says, for now just take a log of like what she did say. And we’ll just use her kind of

254 00:24:15.340 00:24:17.849 Robert Tseng: her word as a source of truth, but because, like.

255 00:24:17.850 00:24:18.220 Amber Lin: Okay.

256 00:24:18.220 00:24:22.199 Robert Tseng: Like no one’s gonna own up to it right now. I just I just think it’s kind of a messy situation.

257 00:24:22.200 00:24:30.070 Amber Lin: Okay, should we make a separate project for cogs? And like, we can document everything there. I don’t know if this is for data sanitization.

258 00:24:30.629 00:24:33.859 Robert Tseng: Yeah, I guess it could be a separate project.

259 00:24:33.860 00:24:34.240 Amber Lin: Okay.

260 00:24:34.240 00:24:53.230 Robert Tseng: It is part of product data like product to data, data, to means means, like everything from like the subcategories and categories of the product all the way down to like the quantities, the vial sizes, and the cost. But like, if we want to separate it out, it’s fine. But I I kind of view that all as like product data.

261 00:24:53.230 00:24:56.730 Demilade Agboola: Valid. Can I take these 3 out? Sorry? Come on, go ahead.

262 00:24:56.930 00:24:58.980 Demilade Agboola: You can go back into the ticket. You were just in.

263 00:24:59.812 00:25:02.940 Amber Lin: Yes, that was, I think, this one.

264 00:25:02.940 00:25:17.329 Demilade Agboola: Yeah, can you go to the screenshot of the yeah. So this is kind of what I was saying about if bask could provide us with the file size beside every single like. What’s it called?

265 00:25:17.750 00:25:44.439 Demilade Agboola: Every single variant that allows us to easily update it like we can run a script that allows us to go, hey? Every single time it’s 2.5 or one ml, if it’s 2 ml. Automatically, that’s the new price. But as it is now. It’s like a process where you have to literally go through every single one and kind of figure out which one it is, and it’s not always clear, because even the Rebecca, when she’s doing it, also struggles to figure that out.

266 00:25:44.550 00:25:58.459 Demilade Agboola: So if we can have a Basque web hook that does that it will. Just auto allows us to automate this because this is literally how she negotiates the prices. So we can automatically apply the new prices directly to what we’re what we have existing.

267 00:26:06.766 00:26:16.980 Amber Lin: Sorry for me my question was mostly that, are we still going to to these.

268 00:26:17.380 00:26:19.929 Amber Lin: or is that going to go in a backlog.

269 00:26:24.697 00:26:38.030 Demilade Agboola: Mean, we, we can update model with Cox change logs. I think we just will reduce the scope of it in sense that it’s not going to be this historical from all of time sort of change log that we ideally wanted.

270 00:26:38.190 00:26:45.959 Demilade Agboola: But we can just do it from when we’re sort of setting about, which is, for instance, this, this part of what you just sent.

271 00:26:46.570 00:27:00.810 Robert Tseng: Yeah, since June. 1st onwards, we’ll just say that, like we have everything from that. But like we’ve, we’ve tried to get previous information, and we just haven’t been able to get it so we can. I can just tell Josh we have everything from June onwards.

272 00:27:01.500 00:27:02.190 Demilade Agboola: Yeah.

273 00:27:03.760 00:27:11.789 Demilade Agboola: And then we’ll create the model to ensure that like and the Google sheet to ensure that going forward, we cannot easily update and just make those changes and.

274 00:27:12.760 00:27:16.356 Amber Lin: Awesome. So I’ll say, that’s to do

275 00:27:18.070 00:27:21.520 Amber Lin: that one. Are we still going to do it?

276 00:27:23.790 00:27:24.940 Robert Tseng: So.

277 00:27:25.420 00:27:26.770 Demilade Agboola: I mean, I guess.

278 00:27:26.920 00:27:29.190 Robert Tseng: This one was less it was.

279 00:27:31.480 00:27:46.399 Robert Tseng: I don’t know. I don’t know where this is been. It’s been over a month, but basically like Booth. One was the old pharmacy they wanted to get paid from them. I I don’t think Rebecca has any leverage. I don’t. I think we could just close this.

280 00:27:48.520 00:28:03.380 Robert Tseng: I think we’re they already moved off of Booth win. So it’s just like an old pharmacy that they kind of had a pretty messy breakup with. And they were trying to like collect from them because they feel like they were overpaying this pharmacy. And

281 00:28:04.090 00:28:20.869 Robert Tseng: At that time Rebecca didn’t have the data to back it up, and we still don’t, because we don’t have the historical cogs pricing so we can’t tell the pharmacy. Hey? You overcharged us on these products like it’s not. It’s not really something we can. We can. We can do because of the what we were just discussing.

282 00:28:20.870 00:28:26.489 Demilade Agboola: I mean to tell. I mean we did send her the valve sizes and the quantity sold.

283 00:28:27.190 00:28:28.160 Robert Tseng: Oh, we did, okay.

284 00:28:28.160 00:28:29.620 Demilade Agboola: For the second.

285 00:28:29.620 00:28:30.569 Robert Tseng: Products yeah.

286 00:28:30.850 00:28:38.839 Demilade Agboola: Yeah, Rebecca said. That was good enough, I mean, so how? But like it’s it’s good enough for her. So

287 00:28:39.400 00:28:43.440 Demilade Agboola: yes, we have higher standards than like. You know that.

288 00:28:44.770 00:28:54.589 Robert Tseng: Yeah, I mean, I I don’t think that if I were the pharmacy like I don’t think I would give her any money like it’s just I don’t know. I don’t think there was enough there. But okay, that’s fine.

289 00:29:01.730 00:29:03.860 Amber Lin: So sorry. Internet broke.

290 00:29:04.160 00:29:09.840 Amber Lin: Okay, did we document what you just said somewhere, is.

291 00:29:09.840 00:29:11.990 Robert Tseng: Yeah, we’ll we’ll just. We’ll just close it out. It’s fine.

292 00:29:11.990 00:29:12.380 Amber Lin: Okay.

293 00:29:12.380 00:29:16.959 Robert Tseng: There were already was deliverable, and the client was fine with it. Rebecca was fine with it.

294 00:29:17.140 00:29:18.520 Amber Lin: Okay. Sounds good.

295 00:29:18.520 00:29:19.030 Robert Tseng: Yeah.

296 00:29:20.490 00:29:26.460 Amber Lin: Done, and then going back

297 00:29:27.830 00:29:31.040 Amber Lin: alright. What about this one.

298 00:29:34.886 00:29:42.609 Demilade Agboola: It’s also still kind of tied into, like all we’ve been talking about. I mean, we do know how we want things to like look in the future.

299 00:29:43.085 00:29:50.419 Demilade Agboola: Long term. I I could just put it there like long term short term. We’re going to have like a cogs historical data sheet

300 00:29:50.640 00:29:54.550 Demilade Agboola: where, like, we can update every single time cogs changes

301 00:29:55.004 00:30:03.159 Demilade Agboola: long term, though, is, we would want to integrate with the pharmacies and get that data directly and rely less on input from.

302 00:30:03.160 00:30:07.880 Amber Lin: Okay, so this is, this is done essentially.

303 00:30:08.080 00:30:09.159 Demilade Agboola: Basically yeah.

304 00:30:09.160 00:30:17.910 Amber Lin: Yeah, okay, I’m gonna say, I’m just gonna put it here.

305 00:30:18.410 00:30:22.159 Amber Lin: All right, that’s cleaner. That’s nice.

306 00:30:23.850 00:30:28.530 Amber Lin: And oh, that’s a different thing.

307 00:30:29.030 00:30:29.820 Amber Lin: Okay.

308 00:30:31.030 00:30:41.010 Amber Lin: Okay. Yay, feeling like you’re you’re no longer blocked. That’s great. Duplicate handling.

309 00:30:41.620 00:30:46.900 Amber Lin: Okay, I know you’re leaving very soon. What are we doing before you leave.

310 00:30:48.280 00:30:54.390 Demilade Agboola: 5, 5, 2 0 which is tied to 4, 8, 2.

311 00:30:55.490 00:30:57.820 Amber Lin: 4, 8, 2.

312 00:30:58.180 00:31:04.090 Demilade Agboola: Yeah, that tie together. And then also

313 00:31:05.288 00:31:19.589 Demilade Agboola: Robert, 5 0 9, requesting the weekly Cs from Zack, like at at this point it. It kind of feels point. I don’t know. We’ve been asking for weeks. He’s basically doesn’t even respond to it. Should we just keep asking.

314 00:31:20.824 00:31:31.759 Robert Tseng: Yeah. Well, I have some follow ups from our call yesterday. Actually did either you or Henry record the notes. If not. I can get the transcription from

315 00:31:32.070 00:31:35.800 Robert Tseng: from Josh, probably. But yeah, I think we’re just.

316 00:31:35.970 00:31:38.719 Robert Tseng: I have like a bunch of

317 00:31:38.940 00:31:48.333 Robert Tseng: I just want to send like one. We got it. We’re gonna send that document with them. And in in that notion, Doc, I’m going to include this request as part of it. So.

318 00:31:48.770 00:31:54.449 Robert Tseng: yeah, I think that’s something I’m trying to get over to them by end of the week, just as like a next step from our call yesterday.

319 00:31:54.990 00:31:57.699 Amber Lin: Is this on Demo Ade? Or is this.

320 00:31:57.860 00:32:02.700 Demilade Agboola: Yeah, I mean, it’s it’s actually, it’s actually sort of in the dock. Because part of why we ask for the product

321 00:32:02.920 00:32:08.469 Demilade Agboola: was cause this has been failing, like, you know, they’ve not been sending the Csv. So

322 00:32:08.610 00:32:12.630 Demilade Agboola: let’s try and find a way to integrate with them without needing.

323 00:32:13.270 00:32:15.520 Demilade Agboola: You know, Emmanuel, send.

324 00:32:18.020 00:32:25.380 Robert Tseng: I hope that, like me being there in person yesterday and having like 2 h of time with them, like kinda gives them a bit more

325 00:32:25.690 00:32:35.030 Robert Tseng: pressure to like, actually do the things we’re asking for. But we’ll see like I think I do think I just got to send over like that that, Doc, that we walked through with them yesterday.

326 00:32:35.030 00:32:35.610 Amber Lin: Oh.

327 00:32:37.845 00:32:48.430 Amber Lin: oh, sorry also, this cogs. I know we’re over time. This cogs one, are we also closing it? Are we doing that. That’s something that Rebecca brought up.

328 00:32:48.710 00:32:51.749 Amber Lin: I know, John, and we talked to her the day before.

329 00:32:52.500 00:32:57.219 Demilade Agboola: Yeah, it’s it’s part of what we mentioned on the call with Zack with, they said, they’ll take

330 00:32:57.430 00:33:04.170 Demilade Agboola: on board, but like it’s a product. We never can tell how long that will take before they can, you know. Add that

331 00:33:04.400 00:33:07.320 Demilade Agboola: to their web hooks. But I think

332 00:33:07.880 00:33:12.250 Demilade Agboola: if we can even get them sending the product sheets regularly.

333 00:33:12.500 00:33:22.839 Demilade Agboola: and we can ask them to add the file size. But right now I’m not sure how to go about it without them, one creating a web hook or 2, sending it manually and integrating this file size as well.

334 00:33:23.140 00:33:27.280 Demilade Agboola: So kind of stuck on that we need to.

335 00:33:27.700 00:33:31.000 Amber Lin: Are we doing? Do we need to do this like right now.

336 00:33:31.140 00:33:34.709 Amber Lin: this cycle? Or can we wait for it to be later.

337 00:33:35.220 00:33:46.479 Demilade Agboola: I mean it. Can. We can wait later. But I just feel like it’s 1 of those things where we we would always have like run into some issues. That’s the thing. Because this is how we want to update cogs

338 00:33:46.750 00:33:48.419 Demilade Agboola: quicker and faster.

339 00:33:48.560 00:33:50.030 Amber Lin: Hmm! I see.

340 00:33:50.030 00:33:54.290 Demilade Agboola: And broadcast the new values across the valve, sizes and products.

341 00:33:54.980 00:33:56.870 Demilade Agboola: Because that’s how it’s negotiated on.

342 00:33:57.360 00:33:57.910 Amber Lin: Hmm.

343 00:33:59.490 00:34:02.839 Amber Lin: Okay, keep it in. Probably won’t get to it, I think.

344 00:34:03.647 00:34:09.499 Amber Lin: I know you’re leaving soon. Let’s finish these up. And then.

345 00:34:10.340 00:34:11.780 Demilade Agboola: Let’s see.

346 00:34:13.670 00:34:16.769 Amber Lin: Alright! We’ll we’ll look at it later.

347 00:34:17.296 00:34:19.960 Amber Lin: Henry, I assume all your tickets are up to date.

348 00:34:20.500 00:34:22.049 Henry Zhao: Yeah, they’re up to date.

349 00:34:22.730 00:34:35.549 Henry Zhao: but a wish I do need to meet with you before. Oh, a wish is out tomorrow, right? I need to meet with a wish as soon as possible, because I’ll be out Friday until the following Friday. So a wish I’ll look for some time on our calendars today.

350 00:34:37.893 00:34:38.840 Awaish Kumar: Okay, okay.

351 00:34:40.010 00:34:41.120 Amber Lin: Sounds good.

352 00:34:44.270 00:34:46.919 Amber Lin: Robert, are your tickets up to date?

353 00:34:47.639 00:34:51.089 Robert Tseng: No, they’re not sorry we can. We can groom them later, when we.

354 00:34:51.090 00:34:53.830 Amber Lin: Yeah, I’ll I’ll yeah. I’ll let you do that.

355 00:34:54.110 00:34:58.659 Amber Lin: Okay, sounds good. I think

356 00:34:59.260 00:35:03.700 Amber Lin: probably still need to talk through them. A lot of these tickets. I think we have way too much.

357 00:35:05.890 00:35:09.459 Amber Lin: I mean, things are unblocked now, so we probably should think about what we have.

358 00:35:09.690 00:35:14.279 Amber Lin: But we’re over time. So we’ll see you guys at the grooming, and we’ll do 30 min.

359 00:35:14.878 00:35:18.959 Amber Lin: Cause I need to meet with a wish. After that.

360 00:35:21.700 00:35:22.840 Robert Tseng: Okay. Great.

361 00:35:22.840 00:35:24.630 Amber Lin: Alright! Thanks everyone.

362 00:35:24.930 00:35:25.370 Henry Zhao: Hey, everyone.

363 00:35:25.370 00:35:25.760 Amber Lin: Bye.