Meeting Title: [Eden] Daily Standup Date: 2025-09-03 Meeting participants: Fireflies.ai Notetaker Tigran, Henry Zhao, Andrew O’Neil, Demilade Agboola, Amber Lin


WEBVTT

1 00:03:52.860 00:03:54.230 Henry Zhao: Hey, Andrew, how’s it going?

2 00:03:54.990 00:03:56.030 Andrew O’Neil: It’s going well.

3 00:03:56.690 00:03:58.520 Henry Zhao: Some good news on the deduping.

4 00:03:58.850 00:04:04.460 Andrew O’Neil: Yeah, yeah, so I think everything is good on the Cappy side of things.

5 00:04:05.130 00:04:06.269 Henry Zhao: Okay, awesome.

6 00:04:06.760 00:04:07.610 Andrew O’Neil: Yeah.

7 00:04:09.610 00:04:10.780 Amber Lin: Hello!

8 00:04:10.970 00:04:11.760 Amber Lin: I’m…

9 00:04:12.140 00:04:20.899 Amber Lin: A quick stand-up to start. I know Oasis out sick today, so we’ll run through the stand-up, and then I think,

10 00:04:21.089 00:04:24.999 Amber Lin: Probably Henry and Demolata, you can stay over, and we can do a bit of grooming.

11 00:04:26.190 00:04:36.319 Amber Lin: So we… I’m gonna cancel the later grooming session, so we only have to meet, just have one meeting today. Here.

12 00:04:41.210 00:04:42.400 Amber Lin: Alright.

13 00:04:43.180 00:04:49.810 Amber Lin: Oh, by assignee… Oh.

14 00:04:53.210 00:04:56.020 Amber Lin: Marketing spend actuals.

15 00:04:56.460 00:04:59.360 Amber Lin: Do we know which dashboard this refers to?

16 00:05:04.010 00:05:07.380 Demilade Agboola: I’m not sure… I know they have a marketing dashboard.

17 00:05:07.670 00:05:15.190 Demilade Agboola: And I know we have the total, like, offline spend, as well as, like, total marketing spend for the month.

18 00:05:15.490 00:05:21.630 Demilade Agboola: And I know we just basically were trying to confirm if Jonah’s numbers match it, because he’s responsible for that.

19 00:05:22.070 00:05:25.820 Amber Lin: Can… can someone send me the Tableau link?

20 00:05:29.920 00:05:32.730 Amber Lin: Because I don’t think Jonah knows which one to look.

21 00:05:35.660 00:05:43.729 Demilade Agboola: Okay. I don’t… I’m not sure Jonah needs to look, I think it’s just us, like, can he send us the marketing spend numbers for last month?

22 00:05:44.390 00:05:48.300 Demilade Agboola: For both, like, offline spend as well as,

23 00:05:48.920 00:05:51.870 Demilade Agboola: Ad spend, and then we can just look and confirm.

24 00:05:52.370 00:05:54.920 Amber Lin: Okay, that works too. I can ask him, yeah.

25 00:05:56.200 00:06:05.690 Amber Lin: Now there’s tagging support… wishes, tasks, QuickBooks… Okay.

26 00:06:08.790 00:06:10.280 Amber Lin: I think this is done.

27 00:06:14.450 00:06:22.119 Amber Lin: And then… Emily, to confirm, this one’s done, right? You had some fixes, and then…

28 00:06:23.570 00:06:27.290 Amber Lin: If Annie had some additional adjustments and it was fixed?

29 00:06:27.980 00:06:33.140 Demilade Agboola: So this is about PLTV, so that’s the final step of it.

30 00:06:33.150 00:06:37.500 Amber Lin: So the other numbers match, but the PLTV is just, like, not working yet.

31 00:06:37.500 00:06:41.549 Demilade Agboola: It’s something I’m currently looking at, and I will try and get done today.

32 00:06:41.830 00:06:42.740 Amber Lin: Okay.

33 00:06:44.630 00:06:47.280 Amber Lin: Oh, these are tasks.

34 00:06:48.390 00:06:49.720 Amber Lin: Mask…

35 00:06:58.870 00:07:04.140 Amber Lin: Okay, so I think… For today, it’s…

36 00:07:07.800 00:07:12.970 Amber Lin: Do you know what Josh meant when he talked about this?

37 00:07:18.330 00:07:22.810 Demilade Agboola: I’m not exactly sure, because I know…

38 00:07:22.980 00:07:29.020 Demilade Agboola: like, in the call yesterday, my internet cut out for a bit, so I wasn’t sure I heard a lot of what he said about this.

39 00:07:31.540 00:07:38.390 Demilade Agboola: I could try and sync with Mitesh and just figure out what he means by this, like, since this is obviously with Mitesh, I could just ask him

40 00:07:38.860 00:07:42.859 Demilade Agboola: What’s going on with COGS, and if he has…

41 00:07:43.170 00:07:46.190 Demilade Agboola: Like, if… just what’s what’s happening with that, basically.

42 00:07:46.960 00:07:52.549 Amber Lin: Okay. I think Josh essentially just wants clocks to be…

43 00:07:53.150 00:07:56.680 Amber Lin: red D. Like, it’s… he just wants it to be…

44 00:07:57.300 00:08:08.629 Amber Lin: down to the best of our ability. If we need to manually update it, we can. I guess we can ask Mitesh and then see if we can get that done this week.

45 00:08:09.080 00:08:20.140 Amber Lin: And I know there’s some modeling for the actuals dashboard that Henry will be doing, so that will… I think that will unblock some of Henry’s work. I’ll change that.

46 00:08:20.140 00:08:22.550 Demilade Agboola: I just… I reached out to Zoe.

47 00:08:23.870 00:08:36.300 Demilade Agboola: So those are some of these numbers that they use, so credits, adjustments, chargebacks, discounts. Some of these numbers come from the payments processors, so, like, Chase, Amex, Titanum.

48 00:08:36.730 00:08:39.169 Demilade Agboola: So the payment gateways themselves…

49 00:08:39.650 00:08:53.500 Demilade Agboola: then they use those numbers to enrich the Basque data, so it’s not necessarily a Basque thing. So I’m trying to see if they have an API key that they use to connect, or if I can get an API key to connect to this platform so we can ingest them, and then just do it by ourselves.

50 00:08:53.660 00:08:54.610 Demilade Agboola: Just less manual.

51 00:08:54.610 00:09:09.410 Amber Lin: I see, I see. Sure. I was thinking that… I don’t know how quick the fix they want… if they want a really quick fix, then we can do it manually, but if they can wait to… for us to connect to the API, we can do that.

52 00:09:12.080 00:09:16.750 Demilade Agboola: And just to confirm, Herman, was that what you wanted to do, or was this a different thing entirely?

53 00:09:17.110 00:09:19.120 Henry Zhao: Sorry, what’s your question? I couldn’t hear it.

54 00:09:20.380 00:09:24.099 Demilade Agboola: Was this what you wanted to do, or is this an entirely new thing?

55 00:09:24.910 00:09:26.470 Henry Zhao: No, it’s fine with me.

56 00:09:28.220 00:09:32.130 Demilade Agboola: Okay. I just wanted to be sure, like, what the plan was in that regard.

57 00:09:34.490 00:09:36.329 Henry Zhao: I’m here to fill in any… yeah.

58 00:09:37.140 00:09:45.249 Amber Lin: I think that’s the dashboarding task for, I think this one, the actuals.

59 00:09:45.940 00:09:59.459 Amber Lin: Actuals dashboard, so once the… So, once the… credits…

60 00:10:04.180 00:10:10.529 Amber Lin: I think once this one’s done, I think this is how… this is affected by… this ticket is affected by that model.

61 00:10:10.880 00:10:13.900 Amber Lin: Okay.

62 00:10:15.320 00:10:19.060 Amber Lin: Any… any other tasks, Andrew, that you’re doing right now?

63 00:10:20.120 00:10:32.090 Andrew O’Neil: I was wrapping up some of the CAPI work. I don’t think there was a ticket for that, or it… we closed it out, I think, before, but that’s now officially done.

64 00:10:32.090 00:10:43.539 Andrew O’Neil: So yeah, no, I do have capacity, because the Catalyst ticket, we got that wrapped up, and I think, from what…

65 00:10:43.870 00:10:56.920 Andrew O’Neil: Ryan and the team have shown that the data’s looking good in that platform. So if there’s, additional tagging work, or, you know, I know Henry’s kind of filling in for some of the dashboard work, but

66 00:10:56.920 00:11:07.409 Andrew O’Neil: I definitely feel comfortable helping to build, you know, visualizations there, if, if, you know, we… if there’s extra support needed in that work stream.

67 00:11:08.120 00:11:15.480 Amber Lin: Gotcha. I’ll ask Robert, what he thinks, because we did our allocations before.

68 00:11:15.480 00:11:15.880 Andrew O’Neil: Perfect.

69 00:11:15.880 00:11:17.819 Amber Lin: With him to see what he says.

70 00:11:18.200 00:11:19.040 Andrew O’Neil: Perfect.

71 00:11:19.040 00:11:19.590 Amber Lin: Yeah.

72 00:11:19.770 00:11:33.120 Amber Lin: I do want to use the rest of the time to just groom a little bit, because I know, Henry, you have a lot of tasks, and I want to make sure you understand, what they even mean, and what we should do with them, so…

73 00:11:33.120 00:11:40.070 Henry Zhao: Yeah, my only… my only question was, is Awasht for now going to be helping me with the dbt models that feed the Tableau dashboards?

74 00:11:40.520 00:11:44.089 Amber Lin: Done a lot of… I think?

75 00:11:44.680 00:11:45.459 Henry Zhao: There’s a deadline.

76 00:11:45.460 00:11:46.750 Amber Lin: When it’s the models.

77 00:11:46.750 00:11:49.030 Demilade Agboola: I mean, so we… we…

78 00:11:49.230 00:11:58.530 Demilade Agboola: Yeah, we both work on the dbt models, Alisha myself. I think, in terms of things like, marketing, channel spend.

79 00:11:59.050 00:11:59.410 Henry Zhao: Hmm.

80 00:11:59.410 00:12:10.760 Demilade Agboola: offline spend, those sort of things, always tend to have more context. Like, I can still do it, but I would need to ramp up on context to hop in. But in terms of, like, product analysis, like, revenue, that sort of thing.

81 00:12:11.060 00:12:23.530 Demilade Agboola: I tend to have more context for that as well. So, it kind of depends on what the ask is, but ultimately, at the end of the day, if he’s not available, I can always do it. If I’m not available, he can always hop into what I do.

82 00:12:23.530 00:12:30.210 Henry Zhao: Okay, this week I’m gonna look into the dbt models also, just to get an understanding of them, and then I might have some follow-up questions.

83 00:12:31.490 00:12:33.349 Demilade Agboola: Alright, sounds good, just let me know.

84 00:12:34.050 00:12:34.680 Henry Zhao: Thank you.

85 00:12:34.890 00:12:40.129 Amber Lin: Andrew, feel free to hop. I want to ask Henry and Demai some grooming questions.

86 00:12:40.330 00:12:41.949 Andrew O’Neil: Perfect, sounds good.

87 00:12:41.950 00:12:42.810 Amber Lin: Alright.

88 00:12:43.040 00:12:44.099 Andrew O’Neil: Talk to you later.

89 00:12:44.280 00:12:45.310 Amber Lin: Yep, bye!

90 00:12:45.310 00:12:46.040 Andrew O’Neil: Thanks.

91 00:12:47.080 00:12:58.169 Amber Lin: I think right here, we have Wednesday, Thursday, Friday. Don’t know, I just want to check, do you feel like this is a decent load?

92 00:12:59.980 00:13:03.580 Amber Lin: 4… The remaining of the week.

93 00:13:06.540 00:13:15.850 Demilade Agboola: For the rest of the week, so, for instance, the 748

94 00:13:16.600 00:13:22.160 Demilade Agboola: that still depends on, like, you know, getting the API keys, and if they have API keys for that.

95 00:13:22.340 00:13:25.030 Demilade Agboola: So, I’ll have to update that.

96 00:13:25.410 00:13:32.090 Demilade Agboola: for Mitesh, I would need to work with that, get some more context about what’s needed before I can then…

97 00:13:32.350 00:13:34.390 Demilade Agboola: Give an estimate.

98 00:13:34.750 00:13:43.350 Demilade Agboola: With paid versus free, I think that’s a pretty straightforward one.

99 00:13:43.940 00:13:46.730 Demilade Agboola: So I can get that done today.

100 00:13:47.770 00:13:53.589 Demilade Agboola: Then… The notion doc will probably be end of week.

101 00:13:54.170 00:13:57.069 Demilade Agboola: And then, I’m not sure what 749 is.

102 00:13:58.560 00:14:03.850 Amber Lin: Dustin. And, end of this week.

103 00:14:04.710 00:14:12.260 Amber Lin: This is a… a ticket for the forecasting dashboard. So that’s something that…

104 00:14:12.440 00:14:24.820 Amber Lin: Jonah wants to build, and that’s… I mean, that’s the visualization that you will have to build, and Annie, when she was scoping it out, Annie said this will need a model,

105 00:14:26.010 00:14:34.440 Amber Lin: With all of these fields in there, plus these fields, and make sure that you can connect to… BigQuery.

106 00:14:34.690 00:14:35.380 Henry Zhao: Okay.

107 00:14:36.570 00:14:42.399 Demilade Agboola: Okay, so there is… Some context that might be needed.

108 00:14:43.860 00:14:50.149 Demilade Agboola: Because Fact Transactions is based off each order, not necessarily each customer.

109 00:14:51.260 00:14:53.649 Demilade Agboola: So, are we doing…

110 00:14:54.150 00:15:04.530 Demilade Agboola: you know, I’ll think… I’ll think through it. I’ll think through it. But yeah, also we’ll need… okay, I think there’s some… okay, there’s some additional context, so that’s great. I’ll read through it, I’ll read through that, and then I will…

111 00:15:07.270 00:15:11.780 Demilade Agboola: I will read through this, and then I will look at the modeling.

112 00:15:12.030 00:15:13.800 Amber Lin: Yeah, sounds good.

113 00:15:14.350 00:15:14.780 Demilade Agboola: Alright.

114 00:15:14.780 00:15:24.760 Amber Lin: assignee to Henry. I think we’ll do the forecasting next week, but I do want to finish up the actual dashboard. I don’t think we made…

115 00:15:24.760 00:15:36.950 Amber Lin: much progress there. I just assigned you the model so we can start having some models ready so we can build the forecasting dashboard. And Henry, I want to groom through these to make sure that

116 00:15:37.020 00:15:41.130 Amber Lin: This is actually doable, because you have a lot of tickets on your plate right now.

117 00:15:41.420 00:15:49.590 Henry Zhao: Yeah, I just don’t know if I’m ready to respond to all of those now. I think today I need to go through all of them, and figure out the questions I have.

118 00:15:50.110 00:15:56.239 Henry Zhao: As well as just get some progress on understanding dbt so that I have a better idea of how to respond to those.

119 00:15:58.560 00:16:04.409 Amber Lin: And the stakeholders will be asking us when… what do we do this week?

120 00:16:04.730 00:16:13.000 Amber Lin: Is it possible to spit out some dashboarding this week? If not, I’ll probably have to ask Robert to do them.

121 00:16:14.040 00:16:15.170 Henry Zhao: No, I think I can.

122 00:16:15.400 00:16:18.820 Henry Zhao: Let me, yeah, because meetings are right after this, right?

123 00:16:21.170 00:16:26.070 Henry Zhao: like, the urgent ones, I think I can get done, but I think, Demolata, you need to help me maybe with 801.

124 00:16:26.230 00:16:31.130 Henry Zhao: because I think the issue is the model, right? So if you go to 801, the urgent one.

125 00:16:33.070 00:16:36.490 Henry Zhao: Yeah, we need PLTV days in the model, and it’s not there right now.

126 00:16:37.210 00:16:41.849 Demilade Agboola: Yeah, so… I will do that fix, and then I will…

127 00:16:42.250 00:16:44.019 Demilade Agboola: Push it, and you guys will see.

128 00:16:44.890 00:16:45.510 Amber Lin: Okay.

129 00:16:46.240 00:16:48.610 Amber Lin: So that one is blocked…

130 00:16:48.610 00:16:50.019 Henry Zhao: Find it to anybody for now, yeah.

131 00:16:52.830 00:16:54.110 Henry Zhao: Well, I don’t know if it’s a different ticket, yeah.

132 00:16:54.110 00:16:55.890 Amber Lin: Is this… is this done?

133 00:16:56.520 00:16:57.160 Henry Zhao: Yes.

134 00:16:57.180 00:16:59.519 Amber Lin: Oh, yeah, it’s interesting about Yiking market is done.

135 00:16:59.920 00:17:00.940 Amber Lin: Sounds good.

136 00:17:02.060 00:17:09.089 Amber Lin: Scope out request… Yeah, that’s something that I still don’t…

137 00:17:09.260 00:17:11.819 Henry Zhao: Maybe today we asked them which of these are the most urgent ones.

138 00:17:12.130 00:17:14.159 Henry Zhao: Okay. I can prioritize them.

139 00:17:14.160 00:17:17.330 Amber Lin: Yeah, I mean, today you’re meeting with Mitesh, right?

140 00:17:17.470 00:17:19.039 Amber Lin: And the marketing team?

141 00:17:20.150 00:17:22.400 Henry Zhao: Oh yeah, that’s right, let me see.

142 00:17:22.400 00:17:26.370 Amber Lin: Yeah, because I don’t know how they would help us, prioritize

143 00:17:26.500 00:17:29.899 Amber Lin: Adam and the finance dashboarding tasks.

144 00:17:31.160 00:17:34.179 Henry Zhao: Okay, so I guess today, in that meeting, we just talked with Cutter.

145 00:17:34.820 00:17:35.490 Amber Lin: Yeah.

146 00:17:37.090 00:17:41.580 Amber Lin: And I know Cotter… Did they want to include the marketing team yesterday?

147 00:17:41.600 00:17:43.720 Henry Zhao: They never told me what I should include.

148 00:17:44.100 00:17:45.390 Amber Lin: Oh, I think…

149 00:17:45.670 00:17:52.290 Amber Lin: Josh said in the meeting that he wants Judd and someone else there, I don’t remember, but he did say it in the meeting.

150 00:17:52.600 00:17:53.869 Henry Zhao: Okay, Judd, and who else?

151 00:17:54.070 00:17:57.790 Amber Lin: I don’t remember. Let me… let’s go check.

152 00:17:58.620 00:18:00.620 Amber Lin: Yesterday’s meeting…

153 00:18:06.150 00:18:08.360 Henry Zhao: Do you remember what we were gonna sync with everyone on?

154 00:18:12.640 00:18:15.789 Henry Zhao: Do you remember what the marketing team wanted to be included on to discuss?

155 00:18:16.890 00:18:19.060 Amber Lin: I think they want to discuss the…

156 00:18:19.410 00:18:24.439 Amber Lin: Numbers and dash were probably about the ad spend… ad spend stuff.

157 00:18:24.980 00:18:25.870 Henry Zhao: Oh, okay.

158 00:18:25.870 00:18:28.770 Amber Lin: Yeah, do you feel confident leading that?

159 00:18:29.310 00:18:32.060 Henry Zhao: Are you gonna be in this meeting? Just, like, as backup?

160 00:18:32.570 00:18:38.119 Amber Lin: I can go, but ad spend was best through a wage, but a wage is sick today.

161 00:18:38.120 00:18:39.090 Henry Zhao: Oh, yeah.

162 00:18:39.090 00:18:44.949 Amber Lin: I didn’t expect that, but let me check first.

163 00:18:46.220 00:18:48.439 Henry Zhao: I can at least, like, gather the requirements.

164 00:18:49.890 00:18:52.500 Henry Zhao: It’ll be recorded, right, so then Awash can watch it later.

165 00:18:53.180 00:18:53.830 Amber Lin: Amen.

166 00:19:08.450 00:19:11.639 Henry Zhao: I will say, working with Eden is definitely very intense.

167 00:19:14.490 00:19:20.530 Amber Lin: Mmm… Let’s check. Marketing team, catalyst…

168 00:19:21.090 00:19:25.539 Amber Lin: Address concerns about ad spend attribution in the Catalyst project.

169 00:19:27.880 00:19:30.239 Henry Zhao: Do we need Andrew in that for the catalyst part?

170 00:19:31.550 00:19:32.240 Amber Lin: Mmm…

171 00:19:33.880 00:19:46.649 Amber Lin: This is about aspen cat attribution, but I think if you have Andrew there, he can help you answer the catalyst part. Let me… shoot…

172 00:19:47.620 00:19:52.929 Amber Lin: Who did Josh say should be in the evening?

173 00:19:54.520 00:19:55.640 Amber Lin: Okay.

174 00:20:11.510 00:20:14.580 Henry Zhao: Yeah, that’s what I thought. I didn’t hear him say any specific individuals.

175 00:20:16.140 00:20:24.520 Amber Lin: Yeah… And let’s go… we should go ask where they can invite… themselves.

176 00:20:26.710 00:20:27.960 Henry Zhao: That one already…

177 00:20:27.960 00:20:30.549 Amber Lin: Oh, I see, that’s a different thing.

178 00:20:31.150 00:20:31.750 Henry Zhao: Yeah.

179 00:20:32.040 00:20:44.390 Amber Lin: Okay, in our next meeting… Nitesh, Cutter, Judge… Well, I think they’re there.

180 00:20:45.930 00:20:47.130 Henry Zhao: I added Judgment right now, yeah.

181 00:20:47.130 00:20:47.940 Amber Lin: Okay.

182 00:20:48.250 00:20:49.000 Amber Lin: Mmm…

183 00:20:50.910 00:20:52.050 Henry Zhao: Should I just ask Cutter?

184 00:20:52.530 00:20:54.300 Amber Lin: Yeah, that’ll be great.

185 00:20:55.970 00:20:59.249 Amber Lin: And then… maybe ask…

186 00:21:00.080 00:21:07.870 Amber Lin: Andrew, if you can tag along, because I think we will need him for Catalyst stuff, because I don’t… it doesn’t sound like we’re that prepared.

187 00:21:11.350 00:21:17.029 Amber Lin: On the ad spend part, I’ll try to join, I don’t have a meeting, I’ll try to join, I think you’ll need backup.

188 00:21:17.910 00:21:27.770 Amber Lin: Yeah, I think. Okay, let’s go through these. I just want to make sure that we can finish tickets in this cycle. This is probably not going to get finished.

189 00:21:28.130 00:21:31.780 Amber Lin: So there’s Adams…

190 00:21:31.780 00:21:35.749 Henry Zhao: I think somehow prioritizing, like, what are the ones that we need to get done this week, so I can prioritize those.

191 00:21:36.050 00:21:36.650 Amber Lin: Yeah.

192 00:21:36.650 00:21:37.420 Demilade Agboola: Yeah.

193 00:21:37.780 00:21:43.409 Amber Lin: Well, the sprint ends this week, so whatever it can’t get done, we’ll have to push out.

194 00:21:43.410 00:21:44.600 Henry Zhao: Yeah.

195 00:21:45.520 00:21:48.120 Amber Lin: I guess our… our ask…

196 00:21:49.500 00:22:00.249 Amber Lin: Yeah, yesterday I asked Josh, how do we prioritize Jonah’s task compared to others, and he said, oh, you guys should have a dedicated person to finance, and right now we don’t anymore.

197 00:22:00.250 00:22:03.480 Henry Zhao: I mean, I think I would be the dedicated person, is the goal, right?

198 00:22:03.850 00:22:15.329 Amber Lin: Yeah, but you also have your marketing tasks. It’s… you only have so many… so much time, and so much energy, because this one is a request from Cutter and Judd.

199 00:22:15.630 00:22:19.209 Amber Lin: do we have the requirements for this one yet?

200 00:22:20.150 00:22:24.999 Henry Zhao: Create actual tracker revenues… Yeah, I had the… I got the requirements yesterday.

201 00:22:25.000 00:22:26.010 Amber Lin: Okay.

202 00:22:27.890 00:22:32.990 Amber Lin: How much… Is there any modeling tasks or data tasks needed there?

203 00:22:38.570 00:22:39.939 Henry Zhao: I think so, yeah.

204 00:22:40.660 00:22:46.050 Amber Lin: Okay. Could you spell them out early so we can, get that one done?

205 00:22:47.070 00:22:50.620 Henry Zhao: Yeah, I’ll put… I’ll… 80… 809, I’ll put the name.

206 00:22:51.180 00:22:51.750 Amber Lin: Okay.

207 00:22:52.460 00:23:00.219 Amber Lin: And then… Is this gonna get done this week, UTM Tracking and Northbeam?

208 00:23:01.070 00:23:04.279 Henry Zhao: No, definitely not. But, that’ll be Zoran working on that.

209 00:23:04.930 00:23:05.740 Amber Lin: Oh, okay.

210 00:23:07.980 00:23:11.740 Henry Zhao: But remember, we’re gonna put it as this week, so they can aim to finish this week.

211 00:23:11.740 00:23:13.580 Amber Lin: Yeah, should I assign it as Oren?

212 00:23:13.880 00:23:15.010 Henry Zhao: Yeah, I think so.

213 00:23:17.270 00:23:23.310 Amber Lin: And then… That one… .

214 00:23:24.020 00:23:25.520 Henry Zhao: GHL haven’t even looked at yet.

215 00:23:26.290 00:23:27.850 Amber Lin: Okay.

216 00:23:28.820 00:23:30.749 Henry Zhao: But if it’s one point, it shouldn’t be too hard.

217 00:23:30.910 00:23:31.620 Amber Lin: Okay.

218 00:23:31.940 00:23:36.619 Amber Lin: Yeah, and then that’s another one that we need requirements for. Do we… do you have your.

219 00:23:36.620 00:23:46.190 Henry Zhao: I have a meeting on this later today, so I’m gonna get the requirements later today. But it’s… from my initial analysis, it looks like we just need to add some new conversions to GTM, and it should be okay.

220 00:23:46.750 00:23:50.539 Henry Zhao: So this should be pretty easy, but I don’t want to send an estimate until I have the meeting.

221 00:23:50.540 00:23:51.240 Amber Lin: Okay.

222 00:23:51.780 00:23:55.749 Amber Lin: And then… This one is stupid.

223 00:23:55.750 00:23:57.709 Henry Zhao: Low prize, so this will be next cycle.

224 00:23:57.870 00:23:58.610 Amber Lin: Okay.

225 00:23:58.610 00:24:00.280 Henry Zhao: I confirmed this with Judd yesterday.

226 00:24:00.280 00:24:00.940 Amber Lin: Okay, so…

227 00:24:00.940 00:24:05.260 Henry Zhao: Might even be 2 seconds from now, because it’s just very low pride, like, it’s not something we can do now, yeah.

228 00:24:05.260 00:24:08.030 Amber Lin: Sounds good. That feels a bit cleaner.

229 00:24:08.030 00:24:10.380 Henry Zhao: Yeah, definitely. And then…

230 00:24:10.890 00:24:12.580 Amber Lin: This one…

231 00:24:13.120 00:24:18.329 Henry Zhao: This one I need to do. This one, I would say, is low, but, like, I need to get the context on dbt so I can…

232 00:24:18.570 00:24:20.939 Henry Zhao: Get a better idea of how the modeling works.

233 00:24:21.190 00:24:21.870 Amber Lin: Okay.

234 00:24:22.480 00:24:24.490 Amber Lin: Yeah.

235 00:24:24.490 00:24:30.720 Henry Zhao: This is very… this is very manageable. Just the Tableau stuff, I don’t know if I’ll finish all of those this week, since I need to kind of, like, onboard.

236 00:24:32.150 00:24:37.090 Henry Zhao: But I will, as soon as possible, have, like, a list of the Tableau tasks assigned to me, and…

237 00:24:37.190 00:24:40.870 Henry Zhao: What I need to get those done, and what I estimate the timeline will be.

238 00:24:40.870 00:24:42.439 Amber Lin: Okay, sounds good.

239 00:24:42.440 00:24:43.740 Henry Zhao: I’ll do that today, yeah.

240 00:24:43.740 00:24:53.650 Amber Lin: I feel like I can check if this is necessary… if this is needed. Who made this request?

241 00:24:55.190 00:24:56.780 Amber Lin: This is…

242 00:24:56.780 00:24:58.990 Henry Zhao: Some seem pretty straightforward.

243 00:24:59.260 00:25:04.270 Amber Lin: Yeah, Annie, based on what Annie said, it sounds like we need…

244 00:25:04.640 00:25:06.759 Amber Lin: I don’t know if it’s done?

245 00:25:07.540 00:25:14.840 Henry Zhao: If it’s as simple as just doing these calculations, it should be pretty easy. So I’ll take a look. I’m already working on this. I will have an update by end of day or tomorrow.

246 00:25:14.840 00:25:15.580 Amber Lin: Okay.

247 00:25:16.510 00:25:18.670 Amber Lin: Mmm, alright.

248 00:25:18.930 00:25:25.080 Amber Lin: Yeah, let me know when the dashboarding can get done. This feels like… this depends on the model.

249 00:25:25.380 00:25:27.010 Amber Lin: So I’ll say it’s blocked.

250 00:25:27.530 00:25:32.000 Amber Lin: And then these are, like, small fixes here and there.

251 00:25:32.450 00:25:33.070 Henry Zhao: Okay.

252 00:25:33.550 00:25:37.359 Amber Lin: For Jonah’s actual dashboard.

253 00:25:37.670 00:25:38.450 Amber Lin: Okay.

254 00:25:38.650 00:25:39.430 Amber Lin: Yeah.

255 00:25:41.190 00:25:42.969 Amber Lin: Yeah, let me know.

256 00:25:42.970 00:25:48.269 Henry Zhao: It’s good for me to have these tasks that are, like, small fixes here and there, so I think it’s good for me to get an understanding of

257 00:25:48.390 00:25:50.640 Henry Zhao: Annie’s work and what we have in Tableau.

258 00:25:50.860 00:25:51.760 Amber Lin: Yeah.

259 00:25:52.020 00:25:52.550 Henry Zhao: Yes.

260 00:25:52.550 00:25:59.680 Amber Lin: Which one do you think, like, any of these you can, like, a ticket or two you think you can give out to Robert?

261 00:26:01.260 00:26:06.579 Henry Zhao: No, I’d rather just have Robert as a support, like, to answer questions to speed things up.

262 00:26:06.950 00:26:20.219 Henry Zhao: Okay. That would be much more useful over the long term than me just handing stuff off to him. I see. I’m just a little stressed about, like, at the end of the week, the stakeholders, like, where is our… Yeah, yeah, let me do the organization task today, and then…

263 00:26:20.420 00:26:22.450 Henry Zhao: We can, like, sync back end of day.

264 00:26:22.750 00:26:24.509 Amber Lin: Okay, sounds good.

265 00:26:24.510 00:26:28.149 Henry Zhao: I’m like, this stuff is so crazy, I don’t know anything, what I’m doing.

266 00:26:28.150 00:26:28.799 Amber Lin: I understand.

267 00:26:28.800 00:26:30.539 Henry Zhao: Have a different discussion.

268 00:26:30.540 00:26:32.369 Amber Lin: Okay, sounds good.

269 00:26:33.360 00:26:40.120 Henry Zhao: But if it’s, like, the major blockers are, like, model stuff or, like, stakeholder responses, then we get Robert to, like, help me push

270 00:26:40.250 00:26:44.989 Henry Zhao: getting those responses, and maybe having them allow to help with the model changes.

271 00:26:44.990 00:26:45.790 Amber Lin: Okay.

272 00:26:45.950 00:26:46.470 Henry Zhao: Okay.

273 00:26:47.140 00:26:50.859 Amber Lin: Sounds good. I’ll see you guys in the next meeting.

274 00:26:52.210 00:26:54.630 Amber Lin: Okay, thank you. Yeah, talk to you there.

275 00:26:55.310 00:26:56.490 Demilade Agboola: Thank you, bye.