Meeting Title: [Eden] Daily Standup Date: 2025-08-13 Meeting participants: Fireflies.ai Notetaker Tigran, Awaish Kumar, Andrew O’Neil, Annie Yu, Amber Lin, Josh , Vashdev Heerani, Henry Zhao, Demilade Agboola


WEBVTT

1 00:01:27.910 00:01:28.980 Amber Lin: Hello.

2 00:01:31.010 00:01:31.640 Andrew O’Neil: Morning.

3 00:01:40.970 00:01:42.289 Amber Lin: Good morning, Josh.

4 00:01:43.080 00:01:45.359 Josh : Good morning. Hey, is Robert joining?

5 00:01:45.710 00:01:49.640 Amber Lin: Robert said he will, so I texted him yesterday.

6 00:01:49.950 00:01:50.770 Josh : Cool.

7 00:01:59.100 00:02:00.110 Amber Lin: …

8 00:02:00.300 00:02:11.499 Amber Lin: start us off, I want to talk about a few things that came up yesterday. I want to assign owners to these, and when Robert comes here, we can hop to another room and keep this… keep going with the stand-up.

9 00:02:11.750 00:02:13.819 Amber Lin: So, there’s this one.

10 00:02:13.970 00:02:18.159 Amber Lin: For the cohort report that, Annie, you made a while back.

11 00:02:18.480 00:02:25.620 Amber Lin: And would you be looking at the numbers for this report, or is this something for Devil Audit to take a look at?

12 00:02:27.690 00:02:30.120 Annie Yu: Can you give me more context?

13 00:02:30.870 00:02:47.160 Josh : Yeah, so when you look at this, it’s showing that we only have 1,000 people in the July 2025 cohort for new patients. It’s just not right. So what I think you guys need to go back and redo all the mappings, because this is happening across the board in a bunch of reports, where…

14 00:02:47.390 00:03:07.039 Josh : like, we added, like, a new variant for SEMA, or, like, a new variant for NAD, or a new variant for all these other products that we have, and they’re not being dragged into the reports the right way. Like, it’s, like, omitting a bunch of results. So, like, you probably are only pulling in the 1,040 of the, you know, the…

15 00:03:07.070 00:03:12.699 Josh : The verbiage or the variant that you had previously, but you did not account for all the new ones.

16 00:03:13.760 00:03:17.650 Annie Yu: So, to my knowledge, this original, like, the old version.

17 00:03:17.880 00:03:31.140 Annie Yu: it was not accounted for any product, so the cohort size you see is the cohort size across all the products. That’s what we’re fixing now. So we actually have published….

18 00:03:31.140 00:03:35.499 Josh : There’s two issues, there’s no way you’re conflating this. So there’s the issue of being able to

19 00:03:35.500 00:03:52.479 Josh : down, like, you know, be able to, like, sort this by product, but then there’s also just the general issue of, I don’t think that you’re capturing all of the people in the cohorts. We had way more than 1,000 new patients last month. We had, like, almost 3,500, 3,600 new patients last month.

20 00:03:54.400 00:03:55.330 Annie Yu: Okay, so….

21 00:03:55.330 00:04:01.629 Josh : And August is only showing, like, none, and then, like, July is only showing 1,000.

22 00:04:03.450 00:04:05.999 Annie Yu: Yeah, yeah. I feel like the number is just totally wrong.

23 00:04:07.180 00:04:14.320 Annie Yu: Yeah, then, if that’s the case, Amber, I would say that’s probably something Damali will have to look at.

24 00:04:14.640 00:04:29.190 Amber Lin: Okay, I see. I’ll sign into Demolade, and once you do, let me know, how we can help correct that in the dashboard. And I know the other task to sort it by product is…

25 00:04:29.350 00:04:32.050 Amber Lin: Almost done, right? Or it’s already done.

26 00:04:32.200 00:04:37.210 Annie Yu: Yes, and they are in the dashboard already, …

27 00:04:37.860 00:04:49.330 Annie Yu: And I’ve left some comment in my ticket, so there’s still one small thing to be addressed from the model side, but other than that, they are pretty much done.

28 00:04:49.330 00:04:53.489 Amber Lin: Sounds good. I’ll go take a look, and I’ll map out that ticket.

29 00:04:53.490 00:04:54.270 Annie Yu: Yep.

30 00:04:54.270 00:05:02.259 Amber Lin: We have a request from Stuart to pull data, … Who can do this?

31 00:05:04.390 00:05:07.200 Josh : How can you guys make this kind of stuff self-service?

32 00:05:08.190 00:05:09.140 Amber Lin: …

33 00:05:09.820 00:05:17.730 Amber Lin: We had a ticket related to that. Robert moved it out to the next cycle. I can scope it out with him.

34 00:05:19.160 00:05:30.419 Josh : Okay, because, like, you’re gonna keep getting all these things, and they’re gonna keep delaying us on the things we actually need to do, because the marketing team does just need spot reports here and there. Like, they’re also going to want to know…

35 00:05:30.940 00:05:38.429 Josh : Yeah, that’s… yeah. So, same thing, Annie, with you, with the Jonah stuff, like, making some stuff so you can even have it self-service for him.

36 00:05:39.220 00:05:39.790 Amber Lin: Gotcha.

37 00:05:40.580 00:05:45.269 Demilade Agboola: For that, I’ve done this task, but yeah, we should definitely look at making a self-service.

38 00:05:46.210 00:05:47.850 Amber Lin: Oh, is this done?

39 00:05:48.190 00:05:49.980 Demilade Agboola: Yeah, I replied in that thread.

40 00:05:49.980 00:05:55.169 Amber Lin: Cool. I appreciate it. That’s really nice. Let me say this is done.

41 00:05:55.830 00:06:01.530 Amber Lin: And then… Search. Okay.

42 00:06:02.290 00:06:06.160 Amber Lin: And then… Cutter, we’re saying that the…

43 00:06:07.210 00:06:10.770 Amber Lin: HRT ad spend in that dashboard.

44 00:06:11.240 00:06:16.119 Amber Lin: is not tracking. Is it the same issue that we’re encountering for…

45 00:06:16.340 00:06:19.390 Amber Lin: The one that Josh just pointed out.

46 00:06:19.620 00:06:21.710 Josh : It’s gotta be a systemic issue.

47 00:06:22.200 00:06:32.249 Demilade Agboola: Yeah, so I’ll have to dig in from our perspective, but I know I have updated the flags to represent what the marketing team is using to…

48 00:06:32.730 00:06:33.910 Demilade Agboola: tag…

49 00:06:34.340 00:06:43.629 Demilade Agboola: the HRT ad, so it should catch it, but I’ll just check to be sure that everything is in line with what is in the sheet that we agreed upon.

50 00:06:50.620 00:06:57.180 Amber Lin: Okay, gotcha. I’ll put it on you, and then put priority….

51 00:06:57.360 00:07:01.939 Demilade Agboola: Oh, but it’s definitely a different issue from the cohort analysis, yeah.

52 00:07:03.070 00:07:03.960 Demilade Agboola: Sounds good.

53 00:07:07.050 00:07:09.779 Amber Lin: Okay. Is Robert here yet?

54 00:07:11.450 00:07:14.279 Annie Yu: I just checked the channel, it’s not coming.

55 00:07:14.430 00:07:15.779 Demilade Agboola: Yeah, he wasn’t drink.

56 00:07:16.030 00:07:27.150 Amber Lin: Okay, Josh, would you like to join the talk they have with Mitesh later? I think Robert should be joining that. Don’t want to have to keep you here.

57 00:07:27.450 00:07:29.729 Josh : Is he… is he not jumping onto this call?

58 00:07:29.870 00:07:33.849 Amber Lin: Yeah, I think… And he said he just sent a message.

59 00:07:33.850 00:07:37.180 Annie Yu: He said, I will join the marketing one with Matesh team.

60 00:07:37.400 00:07:38.870 Amber Lin: Okay, let me.

61 00:07:38.870 00:07:42.049 Josh : Just add me… add me to that call. Just add me to that call.

62 00:07:42.660 00:07:44.950 Amber Lin: Okay, sounds good, I’ll add there.

63 00:07:44.950 00:07:45.560 Josh : Thanks.

64 00:07:47.210 00:07:48.180 Amber Lin: Thank you.

65 00:08:10.270 00:08:12.080 Amber Lin: Okay, let’s continue.

66 00:08:17.410 00:08:20.580 Amber Lin: Henry, did we improve on energy this time?

67 00:08:24.690 00:08:25.719 Henry Zhao: Yeah, I think so.

68 00:08:26.120 00:08:33.809 Amber Lin: Okay, that’s good. I’ll sort this by… by person.

69 00:08:35.669 00:08:36.600 Amber Lin: Okay.

70 00:08:36.830 00:08:46.639 Amber Lin: I will… I wish I know these are new. Okay, I can groom these tickets, but I don’t…

71 00:08:46.970 00:08:49.100 Amber Lin: Don’t know what they are yet.

72 00:08:51.580 00:08:52.370 Amber Lin: Okay.

73 00:08:52.870 00:08:59.260 Amber Lin: And then… Andrew, are these tickets up to date?

74 00:09:01.480 00:09:05.280 Amber Lin: Should I assign any of them to someone else, or is this all your tickets?

75 00:09:07.500 00:09:14.470 Andrew O’Neil: No, these are… these are my, my… they’re actually the 6… 676….

76 00:09:14.880 00:09:16.300 Andrew O’Neil: I’ve…

77 00:09:16.600 00:09:36.450 Andrew O’Neil: whoever is managing the connection between… or, like, getting the data into segment, I don’t know if that’s a wish, or… or if Henry takes over once the data’s in Segment, but … essentially what we did for this initial pick, the first pixel, they would like it replicated for these other ones.

78 00:09:40.620 00:09:45.490 Amber Lin: Okay. Is that something for Harry, or a wish?

79 00:09:47.220 00:09:49.730 Andrew O’Neil: I think it would be both, but at different…

80 00:09:49.840 00:10:02.550 Andrew O’Neil: stages? Like, I believe Awish did the initial work, because, Henry, I know you’re taking over once the data’s in segment, but is there something that Awish does before the data gets to you?

81 00:10:03.760 00:10:04.510 Henry Zhao: Not that I….

82 00:10:04.510 00:10:05.409 Awaish Kumar: What is….

83 00:10:05.710 00:10:07.389 Henry Zhao: No wish answer.

84 00:10:08.090 00:10:10.270 Awaish Kumar: Yeah, so I don’t know, like, Chris.

85 00:10:10.540 00:10:14.080 Awaish Kumar: What I’m working on is building a model which basically

86 00:10:14.390 00:10:22.449 Awaish Kumar: in BigQuery with, which basically is the data which gets sent to Conversion API.

87 00:10:23.230 00:10:23.689 Andrew O’Neil: What’s the connection?

88 00:10:23.690 00:10:26.350 Awaish Kumar: between segment and conversion APIs is…

89 00:10:26.940 00:10:29.890 Awaish Kumar: Like, handled by and over to happening.

90 00:10:30.720 00:10:31.480 Andrew O’Neil: Okay.

91 00:10:31.960 00:10:34.839 Andrew O’Neil: But it’s your job to get the data into segment, right?

92 00:10:38.330 00:10:40.370 Awaish Kumar: From where, like?

93 00:10:40.720 00:10:42.650 Awaish Kumar: Is it… Okay.

94 00:10:43.740 00:10:47.659 Awaish Kumar: So, I’m building a model, basically.

95 00:10:47.860 00:10:51.940 Awaish Kumar: widget on the data, which is coming from BaaS, right?

96 00:10:52.570 00:10:53.280 Andrew O’Neil: Yep.

97 00:10:53.280 00:10:56.460 Awaish Kumar: I’m… I’m not… familiar with Pixel ID?

98 00:10:56.700 00:11:00.299 Awaish Kumar: If it is something… getting data from Meta to…

99 00:11:00.700 00:11:06.089 Awaish Kumar: BigQuery or BigQuery to Meta, that then it is up to CDP.

100 00:11:06.900 00:11:08.349 Awaish Kumar: expert to do that.

101 00:11:10.560 00:11:11.260 Andrew O’Neil: Okay.

102 00:11:11.800 00:11:14.429 Amber Lin: Who is taking this task?

103 00:11:17.400 00:11:22.100 Awaish Kumar: So this is related to Google Tag Manager. Annie, I think it should be you, right?

104 00:11:24.130 00:11:40.110 Andrew O’Neil: So there is a Google Tag Manager component, but I think we’ll also need to set up a server… the server connection for the conversions API as well. So, like, I can handle the GTM components of this.

105 00:11:40.130 00:11:44.289 Andrew O’Neil: But it sounds like from speaking with Kevin.

106 00:11:44.290 00:11:45.210 Henry Zhao: that….

107 00:11:45.370 00:11:49.949 Andrew O’Neil: they would, like, what we’re… what we did for the first pixel.

108 00:11:50.130 00:12:02.600 Andrew O’Neil: Although that work is still well in progress, but essentially what… once we figure out this first pixel, they would like it done for these other, Eden BM digital and legacy non-GLP-1.

109 00:12:05.100 00:12:12.099 Awaish Kumar: So, what kind of… So, for example, the current meta connection.

110 00:12:12.520 00:12:15.129 Awaish Kumar: We are getting all the participants.

111 00:12:15.930 00:12:19.840 Awaish Kumar: from BigQuery, and then they are being sent to Conversion API.

112 00:12:20.480 00:12:26.609 Awaish Kumar: what is the requirement for this pixel? What kind of data needed to be synced to these pixels?

113 00:12:28.420 00:12:32.050 Andrew O’Neil: Yeah, and I, like, I don’t know if these are different, …

114 00:12:32.260 00:12:35.150 Andrew O’Neil: Like, different business units, or if…

115 00:12:36.440 00:12:44.290 Andrew O’Neil: because these might be new pixels that the Eden team has created, because if they’re… if they’re asking for it to be published.

116 00:12:44.440 00:12:48.090 Andrew O’Neil: These might not exist today, …

117 00:12:49.350 00:12:54.930 Andrew O’Neil: Because I know they were… they talked about having multiple pixels run on their website, ….

118 00:12:56.000 00:13:04.759 Amber Lin: Well, I think they’re asking Ryan to add new pixels in GTM, and then we need to add them to segment, so…

119 00:13:05.560 00:13:11.779 Amber Lin: I think they are separate tasks that can go in parallel, as long as they match.

120 00:13:12.430 00:13:26.830 Andrew O’Neil: That’s correct, yes. These can be done, and I’m not sure if, yeah, like, I can handle the GTM component, or if Ryan is doing that. I know, Robert had mentioned that we’re taking over some of what Ryan is working on.

121 00:13:27.460 00:13:28.070 Andrew O’Neil: But….

122 00:13:28.070 00:13:28.510 Awaish Kumar: so….

123 00:13:28.510 00:13:32.079 Andrew O’Neil: Yeah, if Kevin’s asking for Ryan, then, you know, he can own that.

124 00:13:33.450 00:13:45.560 Awaish Kumar: For the part two, like, I don’t see any request of changing the model, or creating a new model, or something, like, it just says that we need to sync the data

125 00:13:45.690 00:13:56.230 Awaish Kumar: from segment to these different pixel IDs. There’s just a connection between segment and those meta conversion APIs. And…

126 00:13:56.330 00:14:03.189 Awaish Kumar: What kind of data needs to be sent? Is… either is… is it some same data, which is what we are seeing now.

127 00:14:03.710 00:14:16.399 Awaish Kumar: or it should be something else. So, like, it needs a little bit of more information at that point. And I think, like, previously, Robert added a connection between segment and conversion API.

128 00:14:16.580 00:14:21.559 Awaish Kumar: And maybe Henry is the one now taking over Robert’s work, right?

129 00:14:22.480 00:14:28.419 Amber Lin: Harry, what do you think? I think if we… if we need to discuss this in more depth, I would like to.

130 00:14:28.420 00:14:29.060 Henry Zhao: No.

131 00:14:29.060 00:14:33.950 Amber Lin: Continue to stand up, and… Have you guys discussed it afterwards?

132 00:14:35.780 00:14:41.170 Amber Lin: … Okay, I’ll take note of that. It sounds like…

133 00:14:41.340 00:14:44.029 Amber Lin: Andrew, Henry, and Wish need to….

134 00:14:44.030 00:14:45.510 Henry Zhao: Yeah, I think we need to maybe have a sync.

135 00:14:45.510 00:14:47.320 Amber Lin: Yeah. Yeah, okay.

136 00:14:49.030 00:14:51.999 Amber Lin: Could you all grab time for that?

137 00:14:52.220 00:14:57.430 Amber Lin: And also, Andrew, on these, when should we expect these by….

138 00:14:59.170 00:15:02.889 Andrew O’Neil: Yeah, the first one, I can get to that this week, …

139 00:15:03.570 00:15:08.559 Andrew O’Neil: as well as the North Beam, or 543 as well, that can get done this week.

140 00:15:08.670 00:15:14.330 Andrew O’Neil: … Let’s see, what’s 664?

141 00:15:14.650 00:15:24.689 Andrew O’Neil: Need to check a browser connection. Oh, I guess that’s, that’s kind of related to the, 543. Those are kind of,

142 00:15:25.150 00:15:28.660 Andrew O’Neil: the same, or they’re… like, I can get both done.

143 00:15:29.330 00:15:30.150 Amber Lin: Okay.

144 00:15:31.060 00:15:34.480 Amber Lin: Sounds good. Okay.

145 00:15:36.880 00:15:42.490 Amber Lin: Aggie, back on this side… …

146 00:15:48.310 00:15:52.350 Amber Lin: I think… Right.

147 00:15:52.700 00:16:00.309 Amber Lin: I think on that one… Demolades, did you complete this one?

148 00:16:03.270 00:16:07.780 Demilade Agboola: No. I compared a couple of other tickets, but not this one.

149 00:16:07.780 00:16:09.349 Amber Lin: Okay, I see.

150 00:16:09.450 00:16:17.480 Amber Lin: I think that’s the last thing we need to fix for this ticket for Josh. I do think it’s pretty important.

151 00:16:17.960 00:16:18.750 Demilade Agboola: Yeah, yeah.

152 00:16:19.280 00:16:27.759 Amber Lin: And then… Jonas dashboard. Do we let Cutter know about this?

153 00:16:27.760 00:16:31.609 Annie Yu: Not yet. I will do that right after this call.

154 00:16:31.610 00:16:32.640 Amber Lin: Okay.

155 00:16:34.040 00:16:35.350 Amber Lin: ….

156 00:16:40.900 00:16:46.329 Annie Yu: Jonah has some feedback, so that’s something I will work on today.

157 00:16:46.620 00:16:47.330 Amber Lin: Okay.

158 00:16:47.540 00:16:48.570 Amber Lin: Gotcha.

159 00:16:49.100 00:16:55.400 Amber Lin: And then… Is it already product filterable?

160 00:16:56.610 00:16:58.840 Annie Yu: Yeah, so, …

161 00:17:00.610 00:17:12.540 Annie Yu: So, it was 3 charts before, but now it’s gonna be 6, because if they want to filter by product, that’s 3, and then if they want to see all products, that’s another 3.

162 00:17:12.540 00:17:13.160 Amber Lin: Gotcha.

163 00:17:13.160 00:17:20.240 Annie Yu: So I asked if we should keep all, but there’s one small issue with the… one of the models.

164 00:17:20.380 00:17:28.129 Annie Yu: where I left the comment there. And I think we already closed the ticket for… for the modeling.

165 00:17:29.310 00:17:30.209 Amber Lin: I can make another….

166 00:17:30.210 00:17:33.529 Annie Yu: Or, yeah, so this should be another one.

167 00:17:33.690 00:17:34.510 Amber Lin: Okay.

168 00:17:35.260 00:17:35.900 Amber Lin: …

169 00:17:38.990 00:17:43.680 Amber Lin: We should let them know our progress on this.

170 00:17:49.170 00:17:51.510 Amber Lin: What’s the modeling?

171 00:17:52.380 00:17:52.950 Annie Yu: Yeah.

172 00:18:01.690 00:18:04.550 Amber Lin: And this is something for Vashtrav to help?

173 00:18:05.370 00:18:07.620 Annie Yu: The Melody did the model….

174 00:18:07.620 00:18:08.420 Amber Lin: Oh, okay.

175 00:18:08.420 00:18:10.090 Annie Yu: Nope, I’m not sure.

176 00:18:10.090 00:18:10.909 Amber Lin: Gosh, I’m fucking….

177 00:18:10.910 00:18:12.430 Demilade Agboola: Yes, I’ll look at that.

178 00:18:13.520 00:18:21.470 Amber Lin: Alright. Is this something… so we can’t show them this dashboard before we fix that, right? Or….

179 00:18:21.470 00:18:30.000 Annie Yu: … Well… There are 4 charts that’s using the other one that’s… Ready.

180 00:18:30.690 00:18:31.280 Amber Lin: Okay.

181 00:18:31.280 00:18:37.180 Annie Yu: So, if anything, I can hide… I can hide, the one that’s using this model, and then….

182 00:18:37.530 00:18:43.309 Amber Lin: Okay, I’ll let them… I’ll let them know about…

183 00:18:44.490 00:18:46.920 Amber Lin: Like, we’re about to be done, so they…

184 00:18:47.250 00:18:52.120 Amber Lin: they know our progress. For Jonah….

185 00:18:52.120 00:18:56.200 Annie Yu: It also has, feedback on this one, so that’s something I’ll have to….

186 00:18:56.300 00:18:57.760 Amber Lin: Look into it, too.

187 00:19:06.350 00:19:07.550 Amber Lin: blocked.

188 00:19:10.430 00:19:11.930 Amber Lin: That one’s box.

189 00:19:12.570 00:19:17.840 Annie Yu: And I added the model requirement in 658.

190 00:19:18.440 00:19:22.170 Annie Yu: For this, … Parts of the dashboard.

191 00:19:22.170 00:19:25.169 Amber Lin: Who will help through this model?

192 00:19:26.100 00:19:29.329 Amber Lin: It’s for the forecasting….

193 00:19:29.890 00:19:32.779 Annie Yu: Yeah, I don’t think anyone’s assigned yet.

194 00:19:35.090 00:19:38.450 Amber Lin: Who can help Annie through this model?

195 00:19:43.650 00:19:48.809 Awaish Kumar: Anyone who has availability between I mean, I didn’t watch the panic meeting.

196 00:19:49.090 00:19:49.760 Amber Lin: Okay.

197 00:19:57.240 00:20:05.809 Annie Yu: And one thing about the fulfillment type, I’m not sure what that means. They have that new sales versus scheduled refill, but I had a brief

198 00:20:06.150 00:20:11.049 Annie Yu: session with Robert yesterday, and he said we don’t have to have this.

199 00:20:11.520 00:20:12.860 Amber Lin: Okay, valid.

200 00:20:13.160 00:20:16.350 Amber Lin: Of sinus to our chef.

201 00:20:17.290 00:20:18.580 Amber Lin: Create that.

202 00:20:19.760 00:20:20.950 Amber Lin: It’s blocked.

203 00:20:29.220 00:20:31.800 Amber Lin: Natasha’s… okay, I assume you’re not….

204 00:20:31.800 00:20:33.430 Annie Yu: Fill in the to-do.

205 00:20:33.890 00:20:34.520 Amber Lin: Yeah.

206 00:20:38.710 00:20:43.840 Amber Lin: Jonas Oh, I think these were the feedback that Jonah had.

207 00:20:44.250 00:20:46.800 Annie Yu: Oh, so these… Okay.

208 00:20:46.990 00:20:49.840 Amber Lin: I don’t know if it’s most up-to-date, ….

209 00:20:49.840 00:20:53.729 Annie Yu: Yeah, I’ll still look at the, his comments from Robert.

210 00:20:54.070 00:20:55.090 Amber Lin: Okay.

211 00:20:58.110 00:21:03.169 Amber Lin: I might cancel these, we’ll see. Okay. I wish on your side…

212 00:21:03.490 00:21:09.350 Amber Lin: Phil, we know… okay, we’re connecting to the API for the offer.

213 00:21:09.750 00:21:12.810 Awaish Kumar: Yeah, that’s kind of what, like in C testing.

214 00:21:12.950 00:21:16.459 Awaish Kumar: So, I’ve already added in testing, so….

215 00:21:16.460 00:21:17.050 Amber Lin: Okay.

216 00:21:17.050 00:21:20.199 Awaish Kumar: We’ll move it to done once I test it.

217 00:21:20.810 00:21:26.689 Amber Lin: Awesome. … So there’s… if Northbeam is receiving the data, I think that’s….

218 00:21:26.690 00:21:30.399 Awaish Kumar: So I have added, I’ve asked the upcoming team.

219 00:21:30.600 00:21:34.489 Awaish Kumar: To, to give us some, like, testing feature on their connector.

220 00:21:34.900 00:21:38.569 Awaish Kumar: So I’m waiting for that, and after that, I can test

221 00:21:40.380 00:21:43.399 Awaish Kumar: Like, send the data to another game, and test it.

222 00:21:43.680 00:21:47.330 Amber Lin: Okay, so we need them to respond. And then….

223 00:21:47.330 00:21:50.169 Awaish Kumar: apply, and it’s… Just the vendor, right?

224 00:21:50.170 00:21:55.919 Amber Lin: Yeah, I know, I just have that status. I just need to know that we’re waiting on someone to respond.

225 00:21:56.480 00:22:06.290 Amber Lin: … So I can also help keep note of that. … For Ryan’s task… There’s two.

226 00:22:07.140 00:22:08.310 Amber Lin: Are we on track?

227 00:22:09.830 00:22:13.149 Awaish Kumar: I can look at one of them today.

228 00:22:13.150 00:22:16.750 Amber Lin: Okay, I’ll just say both of them, it’s the end of this week, so we have more….

229 00:22:16.750 00:22:21.100 Awaish Kumar: But I’m out of office next Tuesday, so I might not be able to.

230 00:22:21.190 00:22:24.949 Amber Lin: Okay. But I will maybe ask him for the context and, ….

231 00:22:25.530 00:22:30.089 Awaish Kumar: and requirements, if we have everything, I can then maybe.

232 00:22:30.090 00:22:42.119 Amber Lin: Gotcha. Okay, valid. I just want him to know that we are working on these and when he can expect to buy, so as long as we communicate, we can buy more time.

233 00:22:42.320 00:22:44.879 Amber Lin: Okay, let’s look at analytics.

234 00:22:46.310 00:22:51.939 Amber Lin: Jobs responded… So we have the product suites.

235 00:22:52.390 00:22:54.530 Amber Lin: Or the dashboard.

236 00:22:55.500 00:23:00.460 Amber Lin: Can we add them to the… to the model, or…?

237 00:23:01.100 00:23:02.939 Amber Lin: How can we do this?

238 00:23:05.260 00:23:07.889 Demilade Agboola: Yeah, we can always add it to the model.

239 00:23:08.360 00:23:14.619 Demilade Agboola: I will need to roll it back to the… yeah, because the model, basically. The answer is yes.

240 00:23:14.700 00:23:15.510 Amber Lin: Okay.

241 00:23:17.170 00:23:18.909 Amber Lin: Put it in to-do.

242 00:23:19.400 00:23:24.409 Amber Lin: And the… Those are spikes.

243 00:23:25.140 00:23:32.840 Amber Lin: These two are… High priority… I…

244 00:23:33.710 00:23:39.039 Amber Lin: Cutter… oh gosh, you have so many high-priority tickets. …

245 00:23:42.460 00:23:46.559 Amber Lin: I see the state that you’re in. So we have all of these.

246 00:23:46.830 00:23:51.540 Amber Lin: Which one will we prioritize?

247 00:23:51.880 00:23:54.030 Amber Lin: There’s Josh’s tickets.

248 00:23:54.990 00:23:56.150 Demilade Agboola: ….

249 00:23:56.600 00:23:58.780 Amber Lin: Oh, look at that….

250 00:23:59.220 00:24:05.330 Demilade Agboola: I’ll take the highest priority right now, based on… Requests…

251 00:24:05.620 00:24:12.180 Demilade Agboola: Will be 706, because we’re trying to tear out the… Rano dashboard.

252 00:24:12.180 00:24:13.040 Amber Lin: Okay.

253 00:24:13.070 00:24:18.960 Demilade Agboola: 706… 703.

254 00:24:20.060 00:24:27.639 Amber Lin: And I guess that… that’s also for Josh. And these are high priority. Okay, that makes sense. We’ll focus on these.

255 00:24:29.620 00:24:32.130 Amber Lin: Okay. Henry, what about….

256 00:24:32.620 00:24:34.690 Demilade Agboola: times tickets….

257 00:24:36.480 00:24:41.199 Henry Zhao: Yeah, I’m kind of stuck on the customer I.O. stuff, so I’m still… still working on that.

258 00:24:42.940 00:24:45.920 Amber Lin: Okay, who can help you unblock?

259 00:24:47.080 00:24:48.959 Henry Zhao: I’m probably just gonna talk to Robert after this.

260 00:24:49.140 00:24:49.940 Amber Lin: Okay.

261 00:24:50.360 00:24:57.879 Amber Lin: … Alright, and then… Are you talking.

262 00:24:57.880 00:25:01.120 Henry Zhao: The ones I haven’t looked at yet, but I’ll probably find some time to look at that today.

263 00:25:01.340 00:25:02.260 Amber Lin: Like… Fuck.

264 00:25:02.510 00:25:04.479 Henry Zhao: While I’m not doing customer I own stuff.

265 00:25:04.720 00:25:08.640 Amber Lin: Sounds good. So I’ll say this is by the end of this week.

266 00:25:09.400 00:25:10.600 Henry Zhao: Yeah, that’d be great.

267 00:25:12.410 00:25:16.310 Amber Lin: And then for Nick G’s request…

268 00:25:16.460 00:25:18.550 Amber Lin: Has he responded to you yet?

269 00:25:18.810 00:25:21.499 Henry Zhao: About the nulls, let me check.

270 00:25:26.770 00:25:28.029 Henry Zhao: Where did we send it?

271 00:25:28.450 00:25:29.500 Amber Lin: ….

272 00:25:29.690 00:25:30.440 Henry Zhao: moment.

273 00:25:33.100 00:25:35.600 Amber Lin: Either way, I’ll follow up with the analytics channel.

274 00:25:36.900 00:25:38.969 Henry Zhao: I’ll probably just respond to Nick immediately.

275 00:25:39.290 00:25:39.970 Amber Lin: Okay.

276 00:25:40.840 00:25:52.580 Amber Lin: Okay, sounds good. Primo stuff, okay. Vasha, for these, I wish, did you review his PRs?

277 00:25:53.680 00:25:55.010 Vashdev Heerani: Yeah, these are, ….

278 00:25:55.010 00:25:56.660 Awaish Kumar: Yeah, buddy.

279 00:25:57.030 00:25:58.550 Amber Lin: Okay, awesome.

280 00:26:00.260 00:26:06.470 Amber Lin: … Is that ticket still in progress?

281 00:26:08.180 00:26:11.020 Awaish Kumar: It’s just, like, 5 minutes. I can do it if….

282 00:26:12.640 00:26:17.079 Vashdev Heerani: So, I have updated this. I have upgraded this one.

283 00:26:18.110 00:26:18.960 Amber Lin: Okay.

284 00:26:19.270 00:26:20.339 Amber Lin: Sounds good.

285 00:26:20.730 00:26:24.349 Amber Lin: And then… 4 minutes left.

286 00:26:25.280 00:26:29.100 Amber Lin: Jonas… Dashboard….

287 00:26:29.430 00:26:37.980 Vashdev Heerani: So, on this, I’m working right now, so I need to talk with Annie regarding the mismatching number.

288 00:26:38.190 00:26:38.890 Amber Lin: Okay.

289 00:26:39.490 00:26:43.330 Amber Lin: Sinkhole, and… All right.

290 00:26:45.080 00:26:50.120 Amber Lin: And then… That’s blocked, right?

291 00:26:51.570 00:26:55.610 Amber Lin: Until North… until Pontamo North King gets back to us.

292 00:26:58.220 00:26:59.870 Amber Lin: A wish.

293 00:27:04.060 00:27:07.289 Awaish Kumar: Yeah, right now we don’t have a lot of data stream.

294 00:27:07.290 00:27:11.130 Amber Lin: Gotcha, so this is blocked. …

295 00:27:17.590 00:27:21.749 Amber Lin: Okay, this is a new one for…

296 00:27:21.870 00:27:28.210 Amber Lin: Josh, I would say this is also a high priority, so we can focus on that first.

297 00:27:28.530 00:27:31.850 Amber Lin: But then, I’m asking Rob Do we?

298 00:27:33.670 00:27:36.569 Awaish Kumar: Sorry, who created this ticket? Like, 665?

299 00:27:36.730 00:27:46.740 Amber Lin: … 6, 6… X65… we created it last time, I think, with Andrew.

300 00:27:47.730 00:27:53.600 Amber Lin: Is this needed, or should I put it as part of the ticket that I wish you were doing?

301 00:27:55.330 00:28:03.440 Awaish Kumar: No, we’re, like, it’s, like, we’re handling the… attribution in the… Off the lead.

302 00:28:07.640 00:28:08.030 Amber Lin: Huh?

303 00:28:08.030 00:28:10.870 Awaish Kumar: So, Nordstrom is a marketing platform, right?

304 00:28:10.870 00:28:11.970 Amber Lin: Yeah, is there….

305 00:28:11.970 00:28:18.139 Awaish Kumar: What I’m… what I’m helping you with is getting data from Northstream and into Crosby.

306 00:28:20.300 00:28:27.990 Awaish Kumar: But, like, what is basically required? Like, are we changing attribution logic, or what needs to be queued?

307 00:28:28.490 00:28:34.120 Awaish Kumar: I need, like… Answers to those questions before anyone can actually do it.

308 00:28:35.810 00:28:41.260 Amber Lin: … I think you’ll need to ask Andrew about these.

309 00:28:41.970 00:28:43.590 Amber Lin: So, S…

310 00:28:44.630 00:28:52.300 Amber Lin: I think maybe you, Henry, and Andrew need to think about, I mean, this ticket, and I know we were talking about the other…

311 00:28:52.500 00:28:54.560 Amber Lin: one, as well.

312 00:28:55.190 00:28:55.950 Amber Lin: Yeah, definitely.

313 00:28:55.950 00:28:56.800 Henry Zhao: I don’t think.

314 00:28:57.360 00:28:58.090 Amber Lin: Okay.

315 00:28:58.700 00:28:59.330 Henry Zhao: Good morning.

316 00:29:00.400 00:29:07.000 Amber Lin: Yeah. Yesterday, Henry, when you talked to Robert, what did he say about this?

317 00:29:07.000 00:29:09.239 Henry Zhao: Oh, I didn’t get to talk to Robert, so….

318 00:29:09.240 00:29:10.300 Amber Lin: Oh, okay.

319 00:29:10.300 00:29:11.750 Henry Zhao: I’ll have to talk to them tomorrow, yeah.

320 00:29:11.750 00:29:13.320 Amber Lin: Alright, let me know then.

321 00:29:13.760 00:29:19.649 Amber Lin: … I think that’s all. I was just updating the affiliates.

322 00:29:20.260 00:29:25.609 Amber Lin: I think this is the current state. We have API keys for 5…

323 00:29:25.940 00:29:31.640 Amber Lin: MNTN, the offer, but we don’t have it for… these fall….

324 00:29:31.640 00:29:33.289 Awaish Kumar: I got the excess slob.

325 00:29:34.100 00:29:35.590 Amber Lin: To… to all of them?

326 00:29:36.350 00:29:38.160 Awaish Kumar: for affluence?

327 00:29:38.910 00:29:39.750 Awaish Kumar: Fuh.

328 00:29:40.620 00:29:44.339 Awaish Kumar: So, for MNTN, we already have, for Vipe, we already have.

329 00:29:44.480 00:29:45.270 Amber Lin: Yeah, unfortunately.

330 00:29:45.270 00:29:47.280 Awaish Kumar: Do you offer? He had one?

331 00:29:47.470 00:29:47.980 Amber Lin: Yeah.

332 00:29:48.220 00:29:52.630 Awaish Kumar: They’re giving me access to Catalyst, I will see how to get API key now.

333 00:29:52.630 00:29:53.490 Amber Lin: Okay.

334 00:29:53.960 00:29:59.510 Awaish Kumar: And they have also given the access to Uploence, It’s in the message.

335 00:29:59.650 00:29:59.990 Amber Lin: Yeah.

336 00:29:59.990 00:30:00.959 Awaish Kumar: on the slander.

337 00:30:03.270 00:30:06.360 Awaish Kumar: We don’t have… Yeah, nothing for commercial trips.

338 00:30:06.360 00:30:13.840 Amber Lin: Okay, I see. Just a quick check, after we get the API, what are some steps we need to do?

339 00:30:14.130 00:30:15.489 Amber Lin: Just wanna make sure.

340 00:30:18.730 00:30:21.320 Amber Lin: So, GET API, what’s next?

341 00:30:23.790 00:30:26.210 Awaish Kumar: We need to sync data formally.

342 00:30:26.210 00:30:27.080 Amber Lin: Thank you.

343 00:30:27.610 00:30:30.740 Awaish Kumar: from these… platforms to….

344 00:30:30.910 00:30:31.830 Amber Lin: Offline Street.

345 00:30:31.830 00:30:35.300 Awaish Kumar: BigQuery and Google Sheet. Offline Sheet, and we can.

346 00:30:35.300 00:30:36.730 Amber Lin: It’s pretty minimal.

347 00:30:36.840 00:30:40.019 Amber Lin: I see. And then, are we doing anything else?

348 00:30:40.020 00:30:43.849 Awaish Kumar: Then we need to investigate about the product… product information, like…

349 00:30:44.280 00:30:51.840 Awaish Kumar: Right now, I’m able to get the product info for For the source called, … the offer.

350 00:30:52.350 00:30:52.960 Amber Lin: Oh.

351 00:30:54.210 00:30:58.330 Awaish Kumar: But I’m not sure if it is possible to get it from every platform.

352 00:30:58.610 00:30:59.270 Amber Lin: Oh, okay.

353 00:30:59.270 00:31:01.360 Awaish Kumar: We need to ask, maybe, clients, right?

354 00:31:01.980 00:31:09.080 Awaish Kumar: Maybe if you can help clarify… from the client that… Is it possible that we…

355 00:31:09.690 00:31:13.459 Awaish Kumar: Get the product info for… from our sources, or not?

356 00:31:14.690 00:31:18.109 Awaish Kumar: I’m already getting from the offer. I’m not sure about others.

357 00:31:18.990 00:31:20.240 Amber Lin: Okay, sounds good.

358 00:31:23.900 00:31:29.179 Amber Lin: All right, I think that’s all. Thanks, Saul for the… for the meeting. I know you have another one.

359 00:31:29.950 00:31:33.600 Amber Lin: Right after this, I’ll hop as well. Thanks, everyone!

360 00:31:35.140 00:31:35.630 Annie Yu: Thanks.

361 00:31:36.020 00:31:36.389 Demilade Agboola: Thank you.