Meeting Title: Eden | Standup Date: 2025-09-25 Meeting participants: Awaish Kumar, Amber Lin, Henry Zhao, Demilade Agboola, Robert Tseng
WEBVTT
1 00:01:39.800 ⇒ 00:01:41.020 Amber Lin: Hi.
2 00:01:42.300 ⇒ 00:01:43.210 Henry Zhao: Yes.
3 00:01:47.980 ⇒ 00:01:48.530 Amber Lin: Right?
4 00:02:02.550 ⇒ 00:02:05.430 Amber Lin: I wish it’s 9.45 done.
5 00:02:07.600 ⇒ 00:02:10.520 Awaish Kumar: That’s a ticket which I added today.
6 00:02:10.850 ⇒ 00:02:13.600 Amber Lin: The last one was 932.
7 00:02:13.820 ⇒ 00:02:14.450 Amber Lin: Oh, I see.
8 00:02:14.450 ⇒ 00:02:15.759 Awaish Kumar: That is done, yeah.
9 00:02:16.050 ⇒ 00:02:19.919 Henry Zhao: I see, I see. 932, Awish, which PR was that?
10 00:02:22.930 ⇒ 00:02:23.720 Awaish Kumar: Charlie?
11 00:02:24.190 ⇒ 00:02:29.149 Henry Zhao: Which was… which, PR was that? Can you just show… send it to me, so I know which column it is?
12 00:02:31.980 ⇒ 00:02:32.780 Awaish Kumar: Wow.
13 00:02:33.010 ⇒ 00:02:37.919 Awaish Kumar: So, the current PR… it’s in Daxter Pipeline Repository.
14 00:02:38.060 ⇒ 00:02:41.850 Awaish Kumar: And, it’s not in… Hidden Analytics.
15 00:02:42.080 ⇒ 00:02:45.919 Awaish Kumar: And, so what’s happening is.
16 00:02:46.910 ⇒ 00:02:50.970 Awaish Kumar: So, that was a data pipeline, right?
17 00:02:51.130 ⇒ 00:03:02.930 Awaish Kumar: which I’ve worked on, and the data from Catalyst now comes into our, offline spent sheet, which is used by Mitesh, and also in a table in BigQuery.
18 00:03:03.260 ⇒ 00:03:18.859 Awaish Kumar: That was, that is done. Now, the second task is to bring that offline spend, into our models, like, you know, DVD models, like product sales summary. That I will work on today.
19 00:03:19.190 ⇒ 00:03:22.380 Henry Zhao: Okay, so we don’t have that yet. Okay, got it. So I will let Cutter know.
20 00:03:22.380 ⇒ 00:03:25.930 Awaish Kumar: We have the data in BigQuery, but it’s not in our DVD models yet.
21 00:03:26.350 ⇒ 00:03:32.070 Henry Zhao: Yeah, it’s not in offline channel spend, and it’s not in product sales summary by transactions yet, right?
22 00:03:33.650 ⇒ 00:03:39.730 Awaish Kumar: It’s… so if you… If you search on BigQuery, offline spend.
23 00:03:39.930 ⇒ 00:03:45.840 Awaish Kumar: You can find, you can find it in a table called Catalyst Offline Spend.
24 00:03:46.600 ⇒ 00:03:47.450 Henry Zhao: Let me see…
25 00:03:47.810 ⇒ 00:03:51.329 Awaish Kumar: But it’s not in our, like, product sales summary, for example.
26 00:03:55.310 ⇒ 00:03:57.360 Henry Zhao: I don’t see catalyst Offline Spin.
27 00:03:59.520 ⇒ 00:04:00.560 Awaish Kumar: -
28 00:04:00.670 ⇒ 00:04:01.260 Awaish Kumar: Congratulations.
29 00:04:01.260 ⇒ 00:04:03.249 Amber Lin: Do you wanna… do you wanna share your screen?
30 00:04:03.370 ⇒ 00:04:06.020 Amber Lin: Yeah, I’ll add the tickets right now.
31 00:04:06.620 ⇒ 00:04:08.389 Awaish Kumar: Are you Henry, credentials team?
32 00:04:08.390 ⇒ 00:04:10.850 Demilade Agboola: I already created a ticket for what you were adding, but…
33 00:04:10.850 ⇒ 00:04:12.450 Amber Lin: Oh, okay, great.
34 00:04:12.560 ⇒ 00:04:13.110 Awaish Kumar: Sorry?
35 00:04:13.110 ⇒ 00:04:15.929 Demilade Agboola: In progress. No, no, just Amber. It’s Amber’s.
36 00:04:15.930 ⇒ 00:04:16.910 Amber Lin: Terrific.
37 00:04:17.060 ⇒ 00:04:20.240 Amber Lin: Sounds good. Henry, do you want to share your screen?
38 00:04:21.640 ⇒ 00:04:27.390 Henry Zhao: No, I don’t need to. I’m just saying, like, eventually I just need it in product sales summary with transactions, so I can add it to Cutter’s dashboard.
39 00:04:29.560 ⇒ 00:04:30.360 Awaish Kumar: Yeah.
40 00:04:31.460 ⇒ 00:04:36.059 Awaish Kumar: And then, Jim, a lot of people want us to look into why influencers is zero after 9.15.
41 00:04:37.120 ⇒ 00:04:38.739 Henry Zhao: Or actually, it’s been zero for a while.
42 00:04:41.840 ⇒ 00:04:47.919 Demilade Agboola: I mean, yeah, I’ll look into it. It’s the int, model.
43 00:04:47.920 ⇒ 00:04:49.060 Henry Zhao: Yeah.
44 00:04:49.060 ⇒ 00:04:51.009 Demilade Agboola: But, yeah, I have, like.
45 00:04:51.710 ⇒ 00:04:58.080 Demilade Agboola: I don’t know if… I mean, I’ll sync with a wish to understand the flow of the data, but yeah, I’ll look into it.
46 00:04:58.720 ⇒ 00:05:01.649 Henry Zhao: Yeah, it’s just, just this one, it said, like, the influencers is zero.
47 00:05:07.620 ⇒ 00:05:08.460 Amber Lin: Okay.
48 00:05:18.400 ⇒ 00:05:24.790 Henry Zhao: And then for California, he says the uncategorized stuff, I didn’t see any uncategorized, so I don’t know what he’s talking about, but I assume that you’re looking into that.
49 00:05:25.530 ⇒ 00:05:34.459 Demilade Agboola: No, I mean, it’s there on the dash, but I will… it’s a simple fix, simple fix, and it must dominate there, I should push it very soon.
50 00:05:36.240 ⇒ 00:05:36.840 Henry Zhao: Okay.
51 00:05:38.870 ⇒ 00:05:39.690 Amber Lin: Alright.
52 00:05:40.270 ⇒ 00:05:43.830 Amber Lin: Alright, let’s go back here.
53 00:05:44.710 ⇒ 00:05:49.489 Amber Lin: Today is Thursday, so we have 2 days left.
54 00:05:49.640 ⇒ 00:05:55.589 Amber Lin: Are we gonna get… All of these done in the two days?
55 00:05:56.110 ⇒ 00:05:58.429 Amber Lin: Or is something for next week?
56 00:06:04.820 ⇒ 00:06:08.189 Henry Zhao: Yeah, Robert wanted us to prioritize the CIO to BQ by end of month.
57 00:06:08.790 ⇒ 00:06:14.780 Henry Zhao: Wish, if you think that’s not a good idea, we can consider, polyatomic, maybe.
58 00:06:16.650 ⇒ 00:06:22.570 Robert Tseng: Yeah, I’m on the call, but yeah, I think it’s just, if we don’t want to get the overages, from this month.
59 00:06:23.280 ⇒ 00:06:25.669 Robert Tseng: We should… we should switch it.
60 00:06:26.650 ⇒ 00:06:29.800 Awaish Kumar: Yeah, I will work on this today, but,
61 00:06:30.480 ⇒ 00:06:36.730 Awaish Kumar: Polytomic, like, I’m not sure even if Polytomic has the connectors, so I haven’t worked on this
62 00:06:37.190 ⇒ 00:06:39.979 Awaish Kumar: spike yet, so I will do it today, and .
63 00:06:40.500 ⇒ 00:06:42.899 Awaish Kumar: We’ll let you know by the end of the…
64 00:06:43.220 ⇒ 00:06:49.560 Henry Zhao: Yeah, and then the third option is just… yeah, we just stop sending it, and we analyze all email opens and sends in Customer I.O.
65 00:06:51.280 ⇒ 00:06:52.650 Henry Zhao: Which is an option, too.
66 00:06:58.280 ⇒ 00:07:01.460 Henry Zhao: I don’t know that we need to stitch this email data
67 00:07:02.370 ⇒ 00:07:09.140 Henry Zhao: Like, the specific opens and sends… opens and sends data with any other parts of the data warehouse, so we might not…
68 00:07:09.880 ⇒ 00:07:11.290 Henry Zhao: Need that, yeah.
69 00:07:12.880 ⇒ 00:07:15.940 Amber Lin: For… for this one…
70 00:07:16.990 ⇒ 00:07:27.450 Henry Zhao: So yeah, Wish, basically, when you added the 200K additional contacts, now it looks like there’s some duplicates in there. If you can just investigate and see why 200,000 user IDs have more than one row.
71 00:07:28.480 ⇒ 00:07:29.700 Henry Zhao: That would be great.
72 00:07:31.690 ⇒ 00:07:33.700 Awaish Kumar: Okay, buddy, go ahead.
73 00:07:34.640 ⇒ 00:07:38.199 Amber Lin: Is this high priority, or how long would this take?
74 00:07:38.200 ⇒ 00:07:39.920 Henry Zhao: I thought it’s low priority, because I have a…
75 00:07:40.470 ⇒ 00:07:43.290 Henry Zhao: Because right now, it’s not really affecting anything, it just broke the…
76 00:07:43.640 ⇒ 00:07:51.120 Henry Zhao: sending, customer enriched profiles to Customer I.O, but I fixed it by just deduplicating it in the query, but…
77 00:07:51.900 ⇒ 00:07:52.730 Amber Lin: Oh.
78 00:07:52.730 ⇒ 00:07:54.570 Henry Zhao: Eventually, we want to know what’s going on.
79 00:07:55.000 ⇒ 00:08:00.760 Amber Lin: Yeah, this would take… Who else do you think.
80 00:08:01.900 ⇒ 00:08:03.030 Awaish Kumar: Yeah, 1.0.
81 00:08:03.030 ⇒ 00:08:03.710 Amber Lin: Okay.
82 00:08:04.690 ⇒ 00:08:13.470 Amber Lin: And… Let’s see, you have… 5… Six… okay.
83 00:08:15.420 ⇒ 00:08:21.649 Amber Lin: 6 hours total. And then, similarly, on your side, the two issues that Cutter just mentioned.
84 00:08:21.850 ⇒ 00:08:24.379 Amber Lin: And then the cogs…
85 00:08:24.530 ⇒ 00:08:30.470 Amber Lin: For this one, when it… the one that says, showing zero, how long would that take?
86 00:08:30.470 ⇒ 00:08:34.869 Henry Zhao: You should just make it Influencer, because affiliates is because, Awash had an.
87 00:08:34.870 ⇒ 00:08:36.830 Amber Lin: Oh, we haven’t… oh, I see.
88 00:08:37.549 ⇒ 00:08:38.089 Henry Zhao: Yeah.
89 00:08:38.460 ⇒ 00:08:43.620 Demilade Agboola: Yeah, what is… I’ll look into influencer, but still the same source, right?
90 00:08:43.880 ⇒ 00:08:45.440 Demilade Agboola: Or is it defensive salish?
91 00:08:47.030 ⇒ 00:08:48.410 Awaish Kumar: Bernie, what is the…
92 00:08:48.960 ⇒ 00:08:55.000 Demilade Agboola: So there’s an influencer channel. Isn’t it also part of the same source?
93 00:08:55.860 ⇒ 00:08:57.019 Demilade Agboola: It would be…
94 00:08:57.240 ⇒ 00:08:59.050 Amber Lin: That would be Affluence.
95 00:09:00.620 ⇒ 00:09:04.870 Awaish Kumar: But we haven’t… like, Influencer, we are just called… the offer is influencer.
96 00:09:09.310 ⇒ 00:09:13.300 Amber Lin: The influencer is from UpFluence, so…
97 00:09:13.300 ⇒ 00:09:18.390 Awaish Kumar: Yeah, but we never implemented conference, we… Yeah, okay.
98 00:09:19.320 ⇒ 00:09:21.940 Awaish Kumar: Let me open the sheet,
99 00:09:25.110 ⇒ 00:09:29.220 Awaish Kumar: So we have… Influencer, influencer…
100 00:09:29.220 ⇒ 00:09:30.450 Amber Lin: You know, coming in.
101 00:09:30.590 ⇒ 00:09:34.219 Awaish Kumar: Yeah, it is coming from some invoices sheet, yeah.
102 00:09:37.710 ⇒ 00:09:40.490 Awaish Kumar: Is there anything you need to do?
103 00:09:41.360 ⇒ 00:09:44.630 Amber Lin: On the modeling side, we’re in the ingestion side, before…
104 00:09:44.630 ⇒ 00:09:46.350 Awaish Kumar: I said, what is.
105 00:09:47.040 ⇒ 00:09:52.010 Demilade Agboola: So for influence, there’s been no data since the 15th, I believe.
106 00:09:57.910 ⇒ 00:09:58.670 Awaish Kumar: Okay.
107 00:09:59.840 ⇒ 00:10:00.485 Awaish Kumar: Oh…
108 00:10:08.390 ⇒ 00:10:10.460 Amber Lin: Okay, I can look into it.
109 00:10:10.460 ⇒ 00:10:22.189 Awaish Kumar: So, this is coming from another sheet maintained by Aiden Team, and I can see… I can look into it if it is an issue on their side, or if it is on our side.
110 00:10:22.660 ⇒ 00:10:28.280 Amber Lin: Okay, so, Oisha, I’m gonna assign this to you, and then… .
111 00:10:28.490 ⇒ 00:10:29.350 Awaish Kumar: Okay.
112 00:10:29.510 ⇒ 00:10:36.480 Amber Lin: then if you’re done with it, you can assign it back to the Milade. How many points would that be?
113 00:10:40.820 ⇒ 00:10:43.229 Awaish Kumar: Yeah, what’s… what’s the one?
114 00:10:45.120 ⇒ 00:10:46.040 Amber Lin: Great.
115 00:10:53.350 ⇒ 00:10:59.649 Amber Lin: So, Damala, on your play is Cutter’s, task that he mentioned. Are we doing that, finishing that today?
116 00:11:00.510 ⇒ 00:11:04.020 Demilade Agboola: Oh, yeah, this… I’m sorry, definitely Italy.
117 00:11:04.520 ⇒ 00:11:06.220 Amber Lin: Okay, that’s good.
118 00:11:07.150 ⇒ 00:11:16.740 Amber Lin: And then… I mean, on your side, say this is for tomorrow.
119 00:11:16.910 ⇒ 00:11:21.080 Amber Lin: Tomorrow? Yeah, okay. Alright, so these…
120 00:11:21.080 ⇒ 00:11:27.229 Henry Zhao: So right now, the California Dash Gamalare, since the model wasn’t working, I put in, like, the temporary query.
121 00:11:27.420 ⇒ 00:11:31.020 Henry Zhao: So when that’s done, I’m just gonna replace it with the actual data.
122 00:11:31.720 ⇒ 00:11:33.410 Demilade Agboola: Well, sorry, what, Dash?
123 00:11:33.870 ⇒ 00:11:37.859 Henry Zhao: The California one, since it was California, not CA, it was showing a zero.
124 00:11:38.320 ⇒ 00:11:39.700 Demilade Agboola: It’s done now.
125 00:11:39.870 ⇒ 00:11:49.010 Henry Zhao: Yeah, yeah, so once Awash is done, I’ll just fix all of them at once, so I don’t publish this dash, like, a million times. No, no, this one is already… yeah, that’s already… okay.
126 00:11:49.420 ⇒ 00:11:56.649 Henry Zhao: I’m just explaining. And then the yellow ones, although there’s, like, over 10 points, a lot of these are, like, at the end of the points already, you know what I mean?
127 00:11:56.650 ⇒ 00:11:57.970 Amber Lin: Hmm, okay.
128 00:11:58.010 ⇒ 00:12:03.510 Henry Zhao: So, like, this JUD one, I finished the hard work, now we just need to implement.
129 00:12:03.510 ⇒ 00:12:04.070 Amber Lin: Okay.
130 00:12:04.290 ⇒ 00:12:08.899 Henry Zhao: It was some, like, really crazy logic that needed, so that’s why it took so many points.
131 00:12:09.610 ⇒ 00:12:18.780 Henry Zhao: But yeah, now the treatment follow-up reminders is fixed. I’m going to be able to move that to DBT now, so that means 803 will also be doable.
132 00:12:19.870 ⇒ 00:12:24.620 Henry Zhao: I’ll have to send a PR for Awash also, since I think Awash has more bandwidth.
133 00:12:25.820 ⇒ 00:12:28.600 Henry Zhao: Yeah, so that would be today. I’m meeting with him today, and then tomorrow.
134 00:12:28.600 ⇒ 00:12:29.380 Amber Lin: Oh,
135 00:12:29.760 ⇒ 00:12:35.379 Henry Zhao: So, 803 will probably go into PR today, and then keep it as tomorrow, because the Wish will need to approve it. There might be some.
136 00:12:35.380 ⇒ 00:12:36.020 Amber Lin: Someone just…
137 00:12:36.020 ⇒ 00:12:46.850 Henry Zhao: they need to do, and then the rest of my time will just be on 752 and 936. So 936, I met with Brad and Katie yesterday to clarify some things on the missed SLA dashboard.
138 00:12:47.080 ⇒ 00:12:56.269 Henry Zhao: We indeed don’t need any modeling for now, so Demolite, we don’t need modeling on that. I just need to work on the V1 of the dashboard, and that will be done by tomorrow.
139 00:12:57.360 ⇒ 00:12:58.059 Amber Lin: You figure out the…
140 00:12:58.060 ⇒ 00:13:01.529 Henry Zhao: How to fix the missing pharmacy information?
141 00:13:01.880 ⇒ 00:13:03.410 Henry Zhao: So, like, we have a lot…
142 00:13:04.340 ⇒ 00:13:07.919 Henry Zhao: missed SLAs where the pharmacy is null, so I need to figure out…
143 00:13:07.920 ⇒ 00:13:08.890 Amber Lin: Oh…
144 00:13:08.890 ⇒ 00:13:12.849 Henry Zhao: why that is. That’s the only, like, somewhat modeling work that we need done.
145 00:13:13.780 ⇒ 00:13:19.310 Demilade Agboola: So, for what… Well, the pharmacies, no, that’s more of a Basque than…
146 00:13:19.610 ⇒ 00:13:22.509 Demilade Agboola: So we don’t always have the data from BASC.
147 00:13:22.750 ⇒ 00:13:25.719 Henry Zhao: Why is it in BASC but not coming over from the webhook?
148 00:13:26.840 ⇒ 00:13:42.490 Demilade Agboola: That’s… that’s part of… that’s the million dollar question we’ve been asking Basque to fix the webhooks, because at one point, there was a month where we had about 80%, this was, like, August, we had about 80% of the orders come in with our pharmacies associated with that.
149 00:13:44.500 ⇒ 00:13:48.330 Henry Zhao: Okay, but that issue is on Basque’s side? That the pharmacy’s not coming in?
150 00:13:48.860 ⇒ 00:14:02.269 Demilade Agboola: Yes, on Basque’s side. We have, like, the data in the… in the… what’s it called? The warehouse doesn’t have the data, doesn’t have the pharmacy, it’s just null. Like, the data, like, the column is there, but it’s null.
151 00:14:02.830 ⇒ 00:14:04.800 Henry Zhao: Can we do an additional pushback from Bask?
152 00:14:05.580 ⇒ 00:14:24.680 Demilade Agboola: Yeah, I’ve… I’ve made a request. They said they’re working, they said they’re making a release. So we have… it should be one of the tickets here, but we have a BASC request sheet, where, like, the things we’ve requested from BASC, like, specifically are there. I have pushed for the pharmacist stuff, I have pushed for ValSize, I have pushed for…
153 00:14:24.900 ⇒ 00:14:28.370 Demilade Agboola: Can’t remember, COGS?
154 00:14:28.370 ⇒ 00:14:42.269 Amber Lin: Yeah, there’s the corny vowel Size Pharmacy, and then Danny also said document, what’s missing, there’s just a lot of tickets, and this is also no pharmacy, so we have ran into all these issues before.
155 00:14:42.270 ⇒ 00:14:56.740 Henry Zhao: Yeah, I’m just asking about the timeline, because if we think they’re gonna fix this within a week or two, then I’m just gonna go ahead with using, BigQuery, but if they think it’s gonna be months, or not until we have Remo, whatever, what’s the.
156 00:14:56.740 ⇒ 00:14:57.660 Amber Lin: Meanwhile…
157 00:14:58.210 ⇒ 00:14:58.610 Henry Zhao: reload.
158 00:14:58.610 ⇒ 00:14:59.260 Amber Lin: Oh.
159 00:14:59.260 ⇒ 00:15:00.340 Henry Zhao: then I might write the.
160 00:15:00.340 ⇒ 00:15:02.310 Amber Lin: I think it’s gonna take some time.
161 00:15:02.310 ⇒ 00:15:08.409 Henry Zhao: I might write them a macro in Excel so that they can download the BASC data and basically use that macro to
162 00:15:08.540 ⇒ 00:15:10.350 Henry Zhao: To generate the report that they need.
163 00:15:11.260 ⇒ 00:15:13.999 Henry Zhao: Because it’s not useful for them to have a bunch of pharmacy nulls.
164 00:15:15.590 ⇒ 00:15:26.599 Henry Zhao: Or maybe if we have order… so maybe another thing I’m thinking about is if we have the order ID, they can just do a VLOOP. So, like, the pharmacy will be null, but they can download it as a CSV, and then just do, like, a VLOOP to find the pharmacy name.
165 00:15:27.000 ⇒ 00:15:29.040 Henry Zhao: So that’s… that’s another possibility.
166 00:15:31.990 ⇒ 00:15:46.180 Henry Zhao: Okay, but that’s my update, and then the actual one, that’s not high pri, because we said that Jonah hasn’t responded, and he indeed hasn’t responded. His priorities are… he responded to me about other things. His priorities are elsewhere, but work on it since I have the bandwidth.
167 00:15:46.360 ⇒ 00:15:51.189 Henry Zhao: But 752 might get pushed next week, but I’m hoping to get at least the prototype done this week.
168 00:15:51.190 ⇒ 00:15:52.790 Amber Lin: 105…
169 00:15:53.120 ⇒ 00:15:53.580 Henry Zhao: That’s second.
170 00:15:53.580 ⇒ 00:15:58.270 Amber Lin: Okay, okay, gotcha. That’s the one that was part of the one-point thing that Annie left us.
171 00:15:58.500 ⇒ 00:16:04.390 Amber Lin: I see. And then… Just checking Robert on here…
172 00:16:04.570 ⇒ 00:16:07.950 Amber Lin: I think I’ll put the screenshot…
173 00:16:09.370 ⇒ 00:16:10.469 Demilade Agboola: Or what else is in the corner.
174 00:16:11.380 ⇒ 00:16:13.050 Amber Lin: Also, sorry.
175 00:16:13.050 ⇒ 00:16:22.709 Henry Zhao: Amber, about 752 real quick, is just, it will actually get pushed next week, because even if I do prototype, we want to discuss it next Wednesday at the Marketing Leads meeting.
176 00:16:23.060 ⇒ 00:16:23.859 Amber Lin: Yeah, just to…
177 00:16:23.860 ⇒ 00:16:28.630 Henry Zhao: that the forecasting aligns, kind of, with ELT’s expectations, and that they.
178 00:16:28.630 ⇒ 00:16:28.999 Amber Lin: Are you kind of.
179 00:16:29.250 ⇒ 00:16:30.869 Henry Zhao: our methodology, so…
180 00:16:31.130 ⇒ 00:16:32.479 Amber Lin: Okay, so we can say…
181 00:16:32.480 ⇒ 00:16:38.109 Henry Zhao: Tomorrow, but I’m… it will carry on to next week in terms of discussions and finalizing.
182 00:16:38.360 ⇒ 00:16:39.160 Amber Lin: Okay.
183 00:16:39.160 ⇒ 00:16:40.970 Henry Zhao: Okay, that’s all I wanted to say. Sorry, okay.
184 00:16:41.230 ⇒ 00:16:47.859 Amber Lin: Oh, good, I changed the deadline. What’s on… on Zoran’s plate,
185 00:16:48.100 ⇒ 00:16:50.659 Amber Lin: Is there deadlines we can add to these?
186 00:16:51.910 ⇒ 00:16:53.500 Henry Zhao: So yeah, just make them all this week.
187 00:16:53.840 ⇒ 00:17:03.199 Henry Zhao: Especially fill in UTM tracking table and provide joint key, because he needs to finish that by tomorrow so I can do my work next week on attribution stitching and the catalyst.
188 00:17:03.390 ⇒ 00:17:05.140 Henry Zhao: Conciliation.
189 00:17:05.480 ⇒ 00:17:10.720 Amber Lin: I see. How much was this, and is this done? I think this is done.
190 00:17:11.680 ⇒ 00:17:14.110 Henry Zhao: Yeah, it’s done in… it needs client review.
191 00:17:14.710 ⇒ 00:17:15.359 Amber Lin: Okay.
192 00:17:15.849 ⇒ 00:17:20.260 Amber Lin: I’ll mark it as done, I think the client already saw it.
193 00:17:20.260 ⇒ 00:17:20.900 Henry Zhao: Okay.
194 00:17:20.900 ⇒ 00:17:24.669 Amber Lin: And then this one, how much would that be?
195 00:17:26.260 ⇒ 00:17:29.230 Henry Zhao: Should be… one point, in my opinion.
196 00:17:29.840 ⇒ 00:17:31.890 Henry Zhao: Because it’s just writing something, yeah.
197 00:17:32.160 ⇒ 00:17:32.520 Amber Lin: Let’s see.
198 00:17:32.900 ⇒ 00:17:33.270 Amber Lin: Okay.
199 00:17:33.270 ⇒ 00:17:37.310 Henry Zhao: The document wins that will be with him, and then organic search, I don’t know, he didn’t update me on this.
200 00:17:37.590 ⇒ 00:17:38.820 Amber Lin: Okay.
201 00:17:40.060 ⇒ 00:17:46.739 Amber Lin: Alright, team, that’s all. Any… any other questions or concerns?
202 00:17:48.930 ⇒ 00:17:52.889 Amber Lin: I think we’re pretty good with the amount of work that’s left.
203 00:17:54.260 ⇒ 00:18:04.360 Amber Lin: Yeah, my list was so big on Monday, and I know, I know, you completed so much stuff that I saw the list, and this is only past day. It looks like this.
204 00:18:05.720 ⇒ 00:18:06.040 Henry Zhao: Yeah.
205 00:18:07.760 ⇒ 00:18:10.239 Amber Lin: Okay, awesome. Thanks, everyone.
206 00:18:10.240 ⇒ 00:18:12.539 Henry Zhao: We’ve worked really well as a team this week.
207 00:18:12.970 ⇒ 00:18:14.290 Amber Lin: Yeah, I agree.
208 00:18:14.290 ⇒ 00:18:17.760 Henry Zhao: Communicating, and doing the modeling, and it’s just delegating.
209 00:18:18.930 ⇒ 00:18:19.770 Amber Lin: Yeah.
210 00:18:19.960 ⇒ 00:18:26.090 Amber Lin: Alrighty, I’ll talk to you guys tomorrow at the retro slash stand-up.
211 00:18:26.090 ⇒ 00:18:28.789 Henry Zhao: I might not be able to make it to the retro, but yeah.
212 00:18:28.790 ⇒ 00:18:31.830 Amber Lin: I see. It’s just a… it’s a stand-up. Okay.
213 00:18:31.830 ⇒ 00:18:33.000 Henry Zhao: Oh, that’s good.
214 00:18:33.270 ⇒ 00:18:34.969 Amber Lin: Yeah. Thanks, everyone.
215 00:18:35.370 ⇒ 00:18:36.409 Henry Zhao: Okay, thank you, guys.
216 00:18:36.550 ⇒ 00:18:37.590 Amber Lin: Right, bye.
217 00:18:37.870 ⇒ 00:18:38.420 Henry Zhao: Okay.