Meeting Title: Eden | Standup Date: 2025-08-26 Meeting participants: Annie Yu, Awaish Kumar, Amber Lin, Demilade Agboola, Henry Zhao
WEBVTT
1 00:00:16.300 ⇒ 00:00:17.870 Amber Lin: Hello!
2 00:00:23.690 ⇒ 00:00:24.840 Awaish Kumar: Hi, hello.
3 00:00:26.950 ⇒ 00:00:30.060 Amber Lin: I think we’re just missing…
4 00:00:33.640 ⇒ 00:00:38.650 Amber Lin: Let me check if there has been additional requests from the Eden team.
5 00:00:39.730 ⇒ 00:00:40.910 Amber Lin: Okay.
6 00:00:46.300 ⇒ 00:00:47.180 Amber Lin: Okay.
7 00:00:58.590 ⇒ 00:01:04.569 Amber Lin: … Okay.
8 00:01:05.220 ⇒ 00:01:07.590 Amber Lin: Alright, let me share screen.
9 00:01:24.840 ⇒ 00:01:28.260 Amber Lin: … My tickets…
10 00:01:36.050 ⇒ 00:01:37.120 Amber Lin: Alright.
11 00:01:39.190 ⇒ 00:01:45.360 Amber Lin: And it is, … Wait, is… Jonah asking…
12 00:01:46.810 ⇒ 00:01:53.659 Amber Lin: for you to work on the Adam dashboard, or is he talking about stuff related to the finance dashboards?
13 00:01:53.990 ⇒ 00:02:04.520 Annie Yu: That was… the update that I shared for… … Which one’s that?
14 00:02:05.420 ⇒ 00:02:08.500 Annie Yu: the… 782.
15 00:02:09.870 ⇒ 00:02:12.640 Annie Yu: And then, yeah, he’s got some feedback there.
16 00:02:15.290 ⇒ 00:02:24.920 Amber Lin: Okay, let’s see. Let’s check with him if he still wants his finance dashboards, but I know
17 00:02:25.830 ⇒ 00:02:29.640 Amber Lin: Let’s see… Okay.
18 00:02:30.780 ⇒ 00:02:35.529 Amber Lin: And… do you have clarity on this? This is what Adam got back.
19 00:02:37.040 ⇒ 00:02:41.160 Annie Yu: I think so. So that means I will have to switch…
20 00:02:41.270 ⇒ 00:02:48.249 Annie Yu: All the charts using another data source, just so you know that it’s not, like, an easy…
21 00:02:49.250 ⇒ 00:02:52.269 Annie Yu: easy thing to add in. I have to switch.
22 00:02:52.400 ⇒ 00:02:55.600 Annie Yu: To another data source, to have the channel view.
23 00:02:56.620 ⇒ 00:02:58.320 Amber Lin: … oh.
24 00:02:58.440 ⇒ 00:03:04.380 Amber Lin: I think the next one, he wants it to be a new report, so we’ll… I think we’ll have to create a new one.
25 00:03:04.500 ⇒ 00:03:07.200 Annie Yu: Oh yeah, but for the first point, that one….
26 00:03:07.200 ⇒ 00:03:09.570 Amber Lin: So right now, yeah, the charts….
27 00:03:09.920 ⇒ 00:03:16.190 Annie Yu: The data source the charts are using now doesn’t have ….
28 00:03:16.760 ⇒ 00:03:17.670 Amber Lin: -Oh.
29 00:03:17.670 ⇒ 00:03:22.950 Annie Yu: Wait, can we add the average revenue per person?
30 00:03:26.560 ⇒ 00:03:36.569 Annie Yu: Okay, okay, that might not require to switch to another model.
31 00:03:37.700 ⇒ 00:03:39.469 Annie Yu: Oh, yeah.
32 00:03:41.440 ⇒ 00:03:47.989 Annie Yu: So, the second one… He also wants that to be in the retention dashboard.
33 00:03:51.970 ⇒ 00:03:52.860 Amber Lin: Huh?
34 00:03:55.120 ⇒ 00:04:00.550 Annie Yu: So by new report, do you mean another dashboard? Another workbook?
35 00:04:00.760 ⇒ 00:04:05.440 Amber Lin: Well, I’m not Adam, so I wouldn’t know what he means by this.
36 00:04:05.780 ⇒ 00:04:11.600 Amber Lin: … What do you think is the most likely?
37 00:04:16.680 ⇒ 00:04:17.890 Annie Yu: I have no idea.
38 00:04:18.730 ⇒ 00:04:23.169 Amber Lin: Okay, does it matter if it’s in the same dashboard, or…?
39 00:04:23.620 ⇒ 00:04:25.819 Annie Yu: No, I can do either, either way.
40 00:04:26.100 ⇒ 00:04:26.810 Amber Lin: Okay.
41 00:04:27.000 ⇒ 00:04:29.780 Amber Lin: I mean, if we create it separately, he wants it.
42 00:04:29.980 ⇒ 00:04:34.219 Amber Lin: Together, then we can always copy and paste it in, right?
43 00:04:35.260 ⇒ 00:04:36.720 Annie Yu: Yes.
44 00:04:37.260 ⇒ 00:04:38.030 Amber Lin: Okay.
45 00:04:40.180 ⇒ 00:04:41.250 Amber Lin: Sounds good.
46 00:04:41.550 ⇒ 00:04:45.900 Amber Lin: How long will this one take? The first one, the first request?
47 00:04:47.330 ⇒ 00:04:48.930 Annie Yu: Oh, you mean for the first one?
48 00:04:48.990 ⇒ 00:04:51.810 Amber Lin: First one, one point.
49 00:04:52.040 ⇒ 00:04:53.790 Amber Lin: Okay, and then the second one?
50 00:04:56.110 ⇒ 00:04:58.210 Annie Yu: Wait, what does zero point mean?
51 00:04:58.490 ⇒ 00:05:00.270 Amber Lin: That it’s a message.
52 00:05:01.460 ⇒ 00:05:01.910 Annie Yu: Oh, okay.
53 00:05:01.910 ⇒ 00:05:03.839 Amber Lin: It takes very little time.
54 00:05:03.840 ⇒ 00:05:06.450 Annie Yu: For the second one, I’ll also say one point.
55 00:05:06.450 ⇒ 00:05:08.320 Amber Lin: Okay, awesome.
56 00:05:09.220 ⇒ 00:05:12.670 Amber Lin: … Alright.
57 00:05:13.730 ⇒ 00:05:20.610 Amber Lin: These are to do… and Awish, do you have time?
58 00:05:22.120 ⇒ 00:05:29.600 Amber Lin: Is this still…? Oh, not this one. … that one.
59 00:05:30.180 ⇒ 00:05:31.510 Amber Lin: Are you guys meeting today?
60 00:05:31.510 ⇒ 00:05:35.859 Awaish Kumar: Yeah, I’m… I’m going to meet with Annie today, and also…
61 00:05:36.080 ⇒ 00:05:38.730 Awaish Kumar: I think I can implement it today.
62 00:05:39.520 ⇒ 00:05:43.520 Annie Yu: And my question is, why do you need me to meet with you?
63 00:05:45.460 ⇒ 00:05:49.259 Awaish Kumar: Yeah, I want to understand, like, which Tableau dashboards,
64 00:05:49.650 ⇒ 00:05:53.100 Awaish Kumar: will be affected with the data source we are, like.
65 00:05:53.550 ⇒ 00:05:58.400 Awaish Kumar: Their ask is pretty general, like, they want in every…
66 00:05:58.630 ⇒ 00:06:02.480 Awaish Kumar: Tableau dashboard, right? From, like, marketing side.
67 00:06:02.930 ⇒ 00:06:05.830 Awaish Kumar: I just need to pair to figure out
68 00:06:06.860 ⇒ 00:06:12.600 Awaish Kumar: If it makes sense to add in those data sources, and it won’t affect
69 00:06:13.370 ⇒ 00:06:18.510 Awaish Kumar: Because adding additional dimension might, break the dashboards.
70 00:06:18.850 ⇒ 00:06:19.920 Annie Yu: Huh,
71 00:06:21.110 ⇒ 00:06:21.940 Annie Yu: Okay.
72 00:06:22.350 ⇒ 00:06:41.359 Demilade Agboola: Just a quick question on that. Have we been able to integrate the product’s names? If not, I had a call with Mitesh, and Mitesh is fine with us, attributing all the offline spend to Injectable Semma. He said this accounts for about 90-95%.
73 00:06:41.530 ⇒ 00:06:44.180 Demilade Agboola: Of all offline spend, so I might as well just do that.
74 00:06:48.210 ⇒ 00:06:50.020 Awaish Kumar: For….
75 00:06:51.310 ⇒ 00:06:52.490 Demilade Agboola: ….
76 00:06:52.490 ⇒ 00:06:56.180 Awaish Kumar: MNTN and the offer, we already have product names.
77 00:06:57.390 ⇒ 00:06:58.560 Demilade Agboola: Oh, okay.
78 00:06:58.560 ⇒ 00:06:59.170 Awaish Kumar: tube?
79 00:06:59.310 ⇒ 00:07:03.099 Awaish Kumar: But for other sources, we don’t have right now, and I don’t think…
80 00:07:03.390 ⇒ 00:07:10.129 Awaish Kumar: I tried to ask Kevin about why, for example, he mentioned, like, yeah, there’s no way to find out that.
81 00:07:10.500 ⇒ 00:07:15.180 Awaish Kumar: So, I’m not sure about other sources, but we do have these two, and …
82 00:07:15.810 ⇒ 00:07:19.660 Awaish Kumar: We can confirm with marketing team, like, if the need for.
83 00:07:20.890 ⇒ 00:07:22.760 Demilade Agboola: So, what we can do today?
84 00:07:22.980 ⇒ 00:07:26.020 Demilade Agboola: Yeah, because I just attributed to Injectable summer.
85 00:07:26.170 ⇒ 00:07:27.320 Demilade Agboola: In that case.
86 00:07:28.450 ⇒ 00:07:31.090 Awaish Kumar: So, you’re saying everything is injectable sema?
87 00:07:31.620 ⇒ 00:07:36.370 Demilade Agboola: I mean, in reality, he’s, like, it’s about 90-95% injectable summer.
88 00:07:36.490 ⇒ 00:07:44.140 Demilade Agboola: But he just says he wants to see everything, and if we can’t, like, Find the exact, …
89 00:07:44.680 ⇒ 00:07:49.729 Demilade Agboola: the exact product that it’s attributed to. Let’s just put it as Injectable summer.
90 00:07:51.520 ⇒ 00:07:54.469 Demilade Agboola: At least for now, while we’ll figure out how to make things better.
91 00:07:56.030 ⇒ 00:07:56.780 Awaish Kumar: Okay.
92 00:07:56.780 ⇒ 00:07:57.470 Amber Lin: I’m okay.
93 00:07:59.070 ⇒ 00:07:59.950 Amber Lin: ….
94 00:08:00.740 ⇒ 00:08:02.319 Awaish Kumar: On the anything.
95 00:08:02.450 ⇒ 00:08:02.990 Amber Lin: Huh.
96 00:08:02.990 ⇒ 00:08:13.939 Annie Yu: One more thing about the 782, so I see that Jonah has some feedback, and just so you know that based on his feedback, we will need, modeling support for this one.
97 00:08:16.190 ⇒ 00:08:17.510 Amber Lin: I see.
98 00:08:17.910 ⇒ 00:08:18.420 Annie Yu: Yeah.
99 00:08:18.420 ⇒ 00:08:19.400 Amber Lin: ….
100 00:08:20.790 ⇒ 00:08:24.870 Awaish Kumar: So, if we have already… Do I have a ticket for that, Annie?
101 00:08:25.520 ⇒ 00:08:29.349 Amber Lin: Yeah, I have… Oh, of this one here.
102 00:08:29.500 ⇒ 00:08:33.389 Amber Lin: It’s just the documentation of their… of their, …
103 00:08:34.169 ⇒ 00:08:36.869 Amber Lin: What would be the modeling need here?
104 00:08:38.330 ⇒ 00:08:44.480 Annie Yu: I haven’t even read through his feedback, I have to figure out what he’s talking about.
105 00:08:46.390 ⇒ 00:08:49.189 Amber Lin: So, I will assign this to you.
106 00:08:49.570 ⇒ 00:08:54.670 Amber Lin: This is related to Adam’s dashboard, so I would say we can… we can…
107 00:08:54.930 ⇒ 00:09:00.260 Amber Lin: Deal with his, finance dashboard after.
108 00:09:00.990 ⇒ 00:09:04.239 Amber Lin: Work on that after these, …
109 00:09:06.920 ⇒ 00:09:09.999 Amber Lin: So I put these in gray, and the other ones are…
110 00:09:14.080 ⇒ 00:09:16.199 Amber Lin: So these… these ones.
111 00:09:18.010 ⇒ 00:09:26.840 Amber Lin: … I also asked him, I don’t know yet. Okay, Awash, can I close these two?
112 00:09:28.100 ⇒ 00:09:31.510 Awaish Kumar: These are kind of ongoing tickets.
113 00:09:32.090 ⇒ 00:09:34.529 Awaish Kumar: So, I have got the information for EMR.
114 00:09:35.430 ⇒ 00:09:36.710 Awaish Kumar: But I’m… I’m…
115 00:09:37.780 ⇒ 00:09:57.089 Awaish Kumar: I’m still pushing, for example, Surf, for example, to get the documents for things like that. And for the other one, I just asked Rayan about that, and I don’t know why he won’t want us to close this ticket, because there’s nothing right now for us to do on this.
116 00:09:57.800 ⇒ 00:10:04.610 Awaish Kumar: … So, for their team, it’s sending some events from their web application.
117 00:10:06.380 ⇒ 00:10:11.229 Awaish Kumar: And, he’s done… he just wants us to verify that those events are coming in BigCerry.
118 00:10:11.370 ⇒ 00:10:20.059 Awaish Kumar: So, like, nothing, like, really extensive there, but we just… Need to be there for… Verifying, validating the data.
119 00:10:20.360 ⇒ 00:10:21.580 Amber Lin: Okay.
120 00:10:22.580 ⇒ 00:10:23.580 Amber Lin: I see.
121 00:10:24.570 ⇒ 00:10:30.250 Awaish Kumar: Kind of closed, but still active. I don’t know where to… keep them….
122 00:10:31.530 ⇒ 00:10:34.089 Amber Lin: Huh, I see. I see, I see.
123 00:10:35.070 ⇒ 00:10:37.110 Amber Lin: … okay.
124 00:10:37.640 ⇒ 00:10:40.310 Amber Lin: Can we close this one?
125 00:10:43.660 ⇒ 00:10:50.669 Demilade Agboola: … Yeah, we should be able to… let me confirm that it has been merged.
126 00:10:51.570 ⇒ 00:10:53.209 Demilade Agboola: Or it has been approved.
127 00:10:53.770 ⇒ 00:10:55.479 Amber Lin: Okay, so I’ll close it.
128 00:10:55.870 ⇒ 00:10:57.120 Demilade Agboola: Yeah, absolutely.
129 00:10:57.120 ⇒ 00:11:05.800 Amber Lin: Awesome … okay, that’s finance, documentation… that one.
130 00:11:10.260 ⇒ 00:11:10.800 Amber Lin: Mmm.
131 00:11:10.800 ⇒ 00:11:11.670 Demilade Agboola: Oh.
132 00:11:12.950 ⇒ 00:11:16.880 Demilade Agboola: I’ll have to look at… I was out of office yesterday, because I was ill, so….
133 00:11:16.880 ⇒ 00:11:17.809 Amber Lin: Yeah, all good.
134 00:11:18.390 ⇒ 00:11:23.530 Amber Lin: I would say I’m gonna change this to… Medium.
135 00:11:27.990 ⇒ 00:11:36.310 Amber Lin: So we can do… … This one first… The…
136 00:11:37.550 ⇒ 00:11:39.889 Amber Lin: Rebecca had a question, because there…
137 00:11:40.520 ⇒ 00:11:45.249 Amber Lin: They’re closing in the month, and I think we probably should do this this week for them.
138 00:11:45.930 ⇒ 00:11:53.420 Amber Lin: … Let’s see… So we have 7….
139 00:11:54.830 ⇒ 00:12:01.660 Demilade Agboola: I have done 560, by the way, but, like, effectively, I had a conversation with Mitesh, which is why.
140 00:12:02.380 ⇒ 00:12:04.579 Demilade Agboola: I was able to say stuff about the…
141 00:12:04.840 ⇒ 00:12:09.489 Demilade Agboola: So I haven’t pushed anything to him, I just had to sync with him, so that was the idea.
142 00:12:09.490 ⇒ 00:12:10.639 Amber Lin: I see, I see, I see.
143 00:12:10.640 ⇒ 00:12:19.420 Demilade Agboola: … And then, basically, what he just wants us to do is I’ll need to remodel the data
144 00:12:19.650 ⇒ 00:12:25.399 Demilade Agboola: So that we can show what the value was the day after.
145 00:12:25.690 ⇒ 00:12:39.300 Demilade Agboola: and keep it static for Annie to use. So, he doesn’t want the values to keep changing, which is what we currently do, so I would have to remodel that. And then he also just wants us to attribute any offline spend
146 00:12:39.530 ⇒ 00:12:42.250 Demilade Agboola: Two injectable samples, those are the two things.
147 00:12:42.450 ⇒ 00:12:47.380 Demilade Agboola: So, technically, that ticket is done, unless you want to create a new ticket, 560.
148 00:12:47.850 ⇒ 00:12:50.539 Amber Lin: Okay, what’s the new ticket’s name?
149 00:12:50.860 ⇒ 00:13:02.749 Demilade Agboola: New Tiger will be remodeling the… … Remodel, snapshot data, to freeze… daily orders.
150 00:13:10.260 ⇒ 00:13:16.809 Amber Lin: Do you think this is urgent, high priority? When does he want it by?
151 00:13:17.470 ⇒ 00:13:21.680 Demilade Agboola: I think ideally he wants it this week, but, like, we’ll…
152 00:13:21.940 ⇒ 00:13:26.700 Demilade Agboola: So let’s just make it, like, medium. It’s not high-high, but it’s definitely something.
153 00:13:27.150 ⇒ 00:13:27.820 Amber Lin: Okay.
154 00:13:29.450 ⇒ 00:13:34.409 Amber Lin: So… He has this one…
155 00:13:34.720 ⇒ 00:13:44.460 Amber Lin: Let’s give an answer to Rebecca. Is the COGS tick… the Notion doc for COGS, is that high priority, or is that actually medium or low?
156 00:13:45.840 ⇒ 00:13:51.650 Demilade Agboola: I think… isn’t there a COGS… I believe there is already one, I’m not sure, I’ll need to….
157 00:13:52.940 ⇒ 00:13:56.540 Amber Lin: Oh, it’s a doc stating what data we will need.
158 00:13:56.940 ⇒ 00:13:58.779 Amber Lin: And what table is it part of?
159 00:13:59.170 ⇒ 00:14:04.240 Demilade Agboola: Okay, so I think… I know there’s a COGS document, I think we might just need to expand it a little bit more, but yeah.
160 00:14:07.680 ⇒ 00:14:18.810 Amber Lin: I see. Is it… I guess a way into my… my question was, is this high priority, or is this medium or low? Because I know you already have tasks you’re working on.
161 00:14:19.630 ⇒ 00:14:21.780 Demilade Agboola: I’ll say it’s medium, it’s not….
162 00:14:25.910 ⇒ 00:14:31.800 Amber Lin: Forecasting dashboard… Say hello…
163 00:14:35.470 ⇒ 00:14:45.059 Amber Lin: This is… Also… … I’ll also say this is low.
164 00:14:46.530 ⇒ 00:14:47.300 Amber Lin: Okay.
165 00:14:49.890 ⇒ 00:14:54.459 Amber Lin: I think the priorities are pretty clear here. I think that… I hope that helps.
166 00:14:55.140 ⇒ 00:14:56.159 Demilade Agboola: Yes, it does. Thank you.
167 00:14:56.260 ⇒ 00:15:01.020 Amber Lin: Okay, awesome. On Henry’s tickets… Hi, Henry!
168 00:15:01.200 ⇒ 00:15:01.690 Henry Zhao: Hey, guys.
169 00:15:01.690 ⇒ 00:15:03.590 Amber Lin: Any updates here?
170 00:15:03.660 ⇒ 00:15:08.179 Henry Zhao: Yeah, so I finally finished the… treatment check-in cleanup.
171 00:15:08.220 ⇒ 00:15:08.910 Amber Lin: Hmm, awesome.
172 00:15:08.910 ⇒ 00:15:16.370 Henry Zhao: query’s ready, it’s all in BigQuery, I just need to meet with Judd today, to actually automate it in Customer I.O.
173 00:15:16.740 ⇒ 00:15:22.909 Henry Zhao: then I can start working on the other things, like the… Zendesk ticket data…
174 00:15:23.890 ⇒ 00:15:25.649 Henry Zhao: And I probably just need to…
175 00:15:25.880 ⇒ 00:15:27.959 Henry Zhao: Follow up on the mixed panel overages stuff.
176 00:15:28.530 ⇒ 00:15:33.179 Henry Zhao: I see. But if you can change Eden 622 to do on August 29th, that would be helpful.
177 00:15:34.760 ⇒ 00:15:36.830 Amber Lin: 29….
178 00:15:36.830 ⇒ 00:15:37.960 Henry Zhao: Yeah, it is, yeah.
179 00:15:37.960 ⇒ 00:15:40.940 Amber Lin: And then that one, when would that be due when you meet with Jeff?
180 00:15:40.940 ⇒ 00:15:41.679 Henry Zhao: Great day.
181 00:15:41.820 ⇒ 00:15:42.390 Amber Lin: Okay.
182 00:15:42.970 ⇒ 00:15:46.100 Henry Zhao: So I’ll put tomorrow in case, like, we have some follow-ups from today.
183 00:15:46.350 ⇒ 00:15:47.780 Henry Zhao: Yeah, thank you.
184 00:15:47.780 ⇒ 00:15:57.120 Amber Lin: Okay, and then… this one… How about these?
185 00:15:59.160 ⇒ 00:16:04.319 Henry Zhao: Improving UTM tracking, I’m meeting with Andrew today on that.
186 00:16:05.490 ⇒ 00:16:11.500 Henry Zhao: … I think this is a pretty high number of points, this might be 4 or 5, so….
187 00:16:13.820 ⇒ 00:16:17.069 Amber Lin: 1.2 hours, so this is, like, a 10-hour task.
188 00:16:17.070 ⇒ 00:16:17.960 Henry Zhao: Yeah.
189 00:16:17.960 ⇒ 00:16:18.740 Amber Lin: I see.
190 00:16:19.860 ⇒ 00:16:26.250 Amber Lin: When should we expect this spot? Is it for next week, or is it something urgent?
191 00:16:26.660 ⇒ 00:16:28.679 Henry Zhao: It’s not urgent, but I would say end of next week.
192 00:16:28.680 ⇒ 00:16:29.350 Amber Lin: Okay.
193 00:16:29.640 ⇒ 00:16:31.269 Amber Lin: So, let’s say….
194 00:16:33.290 ⇒ 00:16:36.220 Henry Zhao: I’d say the priority’s high, but it is a high amount of points also, so….
195 00:16:36.220 ⇒ 00:16:37.139 Amber Lin: Oh, I see.
196 00:16:37.140 ⇒ 00:16:37.740 Henry Zhao: Yeah.
197 00:16:38.650 ⇒ 00:16:40.110 Amber Lin: That one….
198 00:16:41.760 ⇒ 00:16:43.929 Henry Zhao: That one has just one point, I think, because…
199 00:16:45.370 ⇒ 00:16:48.130 Henry Zhao: That one is a follow-up from 715.
200 00:16:48.440 ⇒ 00:16:49.040 Amber Lin: Oh.
201 00:16:49.460 ⇒ 00:16:53.790 Henry Zhao: And then clean up attributes and CIO… Is, like, low.
202 00:16:54.030 ⇒ 00:16:55.749 Henry Zhao: Let’s say end of next week.
203 00:16:57.830 ⇒ 00:17:01.380 Henry Zhao: Because it’s not bothering anyone, it’s just… we want to eventually… yeah.
204 00:17:01.760 ⇒ 00:17:04.759 Amber Lin: Let’s see. This one, when will we be doing this?
205 00:17:07.220 ⇒ 00:17:09.949 Henry Zhao: I think that’s related to Eden622.
206 00:17:10.250 ⇒ 00:17:17.980 Henry Zhao: … I really don’t know the difference, because… I guess one is following the one’s actually reducing the cost.
207 00:17:18.650 ⇒ 00:17:19.430 Henry Zhao: ….
208 00:17:19.430 ⇒ 00:17:20.589 Amber Lin: Oh….
209 00:17:20.890 ⇒ 00:17:23.069 Henry Zhao: So I just put one… one point for this.
210 00:17:23.760 ⇒ 00:17:27.639 Henry Zhao: I see. I should put this as done, because I already had this discussion with Robert.
211 00:17:27.640 ⇒ 00:17:28.310 Amber Lin: Oh, okay.
212 00:17:28.319 ⇒ 00:17:33.909 Henry Zhao: putting… Yeah, putting these findings into a slide, which would be 620….
213 00:17:34.070 ⇒ 00:17:35.500 Amber Lin: Okay. 2 years.
214 00:17:35.650 ⇒ 00:17:37.540 Henry Zhao: Like, when I’m putting there, yeah.
215 00:17:37.540 ⇒ 00:17:47.569 Amber Lin: art. … Awish, can I get some help here with Vajdev’s tickets of how we’re gonna move these?
216 00:17:49.020 ⇒ 00:17:51.460 Awaish Kumar: I’m taking over, like, ….
217 00:17:52.310 ⇒ 00:17:53.949 Awaish Kumar: Pretty much all of them, but….
218 00:17:53.950 ⇒ 00:17:58.160 Amber Lin: Okay, I’ll assign to you, and then we’ll figure out how to move them off your plate.
219 00:17:58.840 ⇒ 00:18:03.640 Awaish Kumar: How will we work… how will it work on today… today on Catalyst?
220 00:18:04.540 ⇒ 00:18:05.090 Amber Lin: Hmm.
221 00:18:05.330 ⇒ 00:18:09.249 Awaish Kumar: Upfront was not possible. I already moved it to Dunn.
222 00:18:09.320 ⇒ 00:18:10.760 Amber Lin: I’ve added a….
223 00:18:11.900 ⇒ 00:18:13.480 Awaish Kumar: added the….
224 00:18:13.480 ⇒ 00:18:15.960 Amber Lin: Comment and have some feedback to….
225 00:18:16.090 ⇒ 00:18:18.329 Awaish Kumar: on a Slack channel, but we might…
226 00:18:19.630 ⇒ 00:18:25.990 Awaish Kumar: Yeah, we might need to… I don’t know, we might need to work on that if… if they, …
227 00:18:26.200 ⇒ 00:18:27.300 Awaish Kumar: Consist?
228 00:18:27.440 ⇒ 00:18:28.929 Awaish Kumar: That we automate that?
229 00:18:31.250 ⇒ 00:18:32.470 Awaish Kumar: I don’t know where it is.
230 00:18:33.950 ⇒ 00:18:34.680 Amber Lin: I see.
231 00:18:35.810 ⇒ 00:18:39.430 Awaish Kumar: Oh, I… I put it in requirements to review, because
232 00:18:39.600 ⇒ 00:18:43.449 Awaish Kumar: It’s… it needs to be scoped out, differently.
233 00:18:43.590 ⇒ 00:18:47.229 Awaish Kumar: If, if they insists us on automation.
234 00:18:47.570 ⇒ 00:18:51.599 Awaish Kumar: then there’s no API for that, we need to figure out.
235 00:18:51.600 ⇒ 00:18:52.320 Amber Lin: Oh….
236 00:18:52.320 ⇒ 00:18:55.470 Awaish Kumar: How to automate that. So it will be a separate…
237 00:18:55.790 ⇒ 00:18:57.700 Awaish Kumar: The scoping and a spike TV.
238 00:18:57.700 ⇒ 00:18:58.270 Amber Lin: Okay.
239 00:18:59.180 ⇒ 00:19:00.050 Amber Lin: That’s funny.
240 00:19:02.650 ⇒ 00:19:08.359 Awaish Kumar: So, I have sent a message in Slack, it depends on them if they want us to spend more time on this.
241 00:19:11.010 ⇒ 00:19:15.360 Awaish Kumar: Because we already have this data coming in, Some, some…
242 00:19:15.850 ⇒ 00:19:25.039 Awaish Kumar: some spreadsheet, right? I think it was just an optimization. I have asked them to confirm that they would like… that it’s really…
243 00:19:25.990 ⇒ 00:19:30.200 Awaish Kumar: something they need, right? We already have spend data.
244 00:19:30.720 ⇒ 00:19:35.879 Amber Lin: Yeah, I hear you, okay. I’ll keep it there, and keep an eye on it.
245 00:19:36.670 ⇒ 00:19:38.050 Amber Lin: And
246 00:19:38.700 ⇒ 00:19:46.690 Amber Lin: Okay. Is this something… is this COG snapshot model something that you’re gonna do, or are you pushing it off for later?
247 00:19:52.720 ⇒ 00:19:53.960 Awaish Kumar: Not this week.
248 00:19:54.170 ⇒ 00:19:55.010 Amber Lin: Okay.
249 00:19:57.760 ⇒ 00:20:02.510 Amber Lin: … I don’t remember if we said we want to do the self-serve.
250 00:20:03.310 ⇒ 00:20:04.259 Awaish Kumar: Oh, I….
251 00:20:05.800 ⇒ 00:20:06.740 Amber Lin: Okay.
252 00:20:08.050 ⇒ 00:20:13.920 Amber Lin: I’m gonna say… I’m gonna keep it there, but I’ll say next week, if not. And these, I’ll say this week.
253 00:20:14.030 ⇒ 00:20:14.990 Amber Lin: Or today?
254 00:20:15.570 ⇒ 00:20:17.289 Amber Lin: Okay. It’s sweet.
255 00:20:19.530 ⇒ 00:20:21.560 Amber Lin: Priority….
256 00:20:22.900 ⇒ 00:20:23.610 Awaish Kumar: -
257 00:20:23.890 ⇒ 00:20:25.130 Amber Lin: Bye!
258 00:20:25.290 ⇒ 00:20:31.580 Amber Lin: Status to-do… Status… Too-doo.
259 00:20:33.520 ⇒ 00:20:34.430 Amber Lin: Okay.
260 00:20:35.170 ⇒ 00:20:39.479 Amber Lin: Is there product names in Catalysts? Is that even a valid ticket?
261 00:20:40.610 ⇒ 00:20:44.849 Awaish Kumar: Yeah, when I’m going to connect with API, I’ll see.
262 00:20:44.850 ⇒ 00:20:48.359 Amber Lin: Okay. If it’s possible to get that, I’ll go. Okay, gotcha.
263 00:20:48.550 ⇒ 00:20:50.540 Amber Lin: Alright, sounds good.
264 00:20:51.190 ⇒ 00:20:52.430 Amber Lin: …
265 00:20:55.470 ⇒ 00:20:56.970 Amber Lin: Anyone have…
266 00:20:57.170 ⇒ 00:21:07.829 Amber Lin: Oh, actually, Henry, what about Andrew’s ticket? Is that done? Because I know you guys had a conversation yesterday, and we made a doc about it.
267 00:21:07.830 ⇒ 00:21:11.069 Henry Zhao: No, Robert still needs to follow up on why the spend is wrong.
268 00:21:11.830 ⇒ 00:21:17.020 Henry Zhao: So this… maybe we want to send this to, … Robert, no.
269 00:21:18.670 ⇒ 00:21:19.590 Amber Lin: Sounds good.
270 00:21:19.790 ⇒ 00:21:29.500 Amber Lin: Let me just make sure we covered all the channels… … Am I sharing screen?
271 00:21:30.080 ⇒ 00:21:35.840 Amber Lin: Let me share. So… Okay.
272 00:21:36.450 ⇒ 00:21:38.540 Amber Lin: Tableau is down, is it back up?
273 00:21:40.700 ⇒ 00:21:48.820 Amber Lin: Okay, sounds good. And then… itesh wants to add Tracy…
274 00:21:48.920 ⇒ 00:21:53.830 Amber Lin: Who hand… is Robert the only one who handles Tableau permissions?
275 00:21:55.210 ⇒ 00:21:56.129 Henry Zhao: I think so.
276 00:21:56.650 ⇒ 00:21:57.330 Amber Lin: Peh.
277 00:21:57.950 ⇒ 00:21:59.130 Amber Lin: Sounds good.
278 00:22:13.100 ⇒ 00:22:17.140 Amber Lin: … Noted.
279 00:22:18.450 ⇒ 00:22:20.400 Amber Lin: Alright, and then this one.
280 00:22:21.370 ⇒ 00:22:25.159 Amber Lin: I think this is just a note, …
281 00:22:25.320 ⇒ 00:22:27.339 Amber Lin: This is Robert and Del Monte.
282 00:22:27.750 ⇒ 00:22:33.639 Demilade Agboola: where I would respond to it. It’s just basically him alerting us that new things are coming in.
283 00:22:34.000 ⇒ 00:22:36.880 Demilade Agboola: Have… we were ready for that.
284 00:22:37.350 ⇒ 00:22:37.990 Amber Lin: Okay.
285 00:22:38.250 ⇒ 00:22:39.699 Amber Lin: Sounds good.
286 00:22:43.990 ⇒ 00:22:44.920 Amber Lin: Oh.
287 00:22:45.840 ⇒ 00:22:52.179 Amber Lin: I think that’s related to Rebecca’s response, that’s… Task that’s related here.
288 00:22:54.850 ⇒ 00:22:55.580 Amber Lin: Okay.
289 00:22:56.610 ⇒ 00:22:58.050 Amber Lin: Just more context.
290 00:22:58.690 ⇒ 00:23:07.730 Amber Lin: And then… Data there, finance, marketing… Okay.
291 00:23:08.730 ⇒ 00:23:15.329 Amber Lin: Okay, sounds good. I think we covered everything. Is everyone sure of their priorities and what to work on first?
292 00:23:16.010 ⇒ 00:23:16.670 Henry Zhao: Yep.
293 00:23:17.380 ⇒ 00:23:18.160 Awaish Kumar: Okay.
294 00:23:18.800 ⇒ 00:23:22.579 Amber Lin: … Awesome. Alright, thanks everyone.
295 00:23:23.240 ⇒ 00:23:24.159 Henry Zhao: Thank you, guys.
296 00:23:24.600 ⇒ 00:23:25.480 Amber Lin: Bye.