Meeting Title: Eden | Pre-meeting Prep Date: 2025-09-02 Meeting participants: Awaish Kumar, Amber Lin, Henry Zhao
WEBVTT
1 00:00:15.270 ⇒ 00:00:16.170 Awaish Kumar: Hello.
2 00:00:16.470 ⇒ 00:00:17.370 Amber Lin: Push.
3 00:00:18.140 ⇒ 00:00:18.740 Awaish Kumar: Hi.
4 00:00:18.740 ⇒ 00:00:23.470 Amber Lin: Another meeting, sorry, I know we just talked about meetings on time.
5 00:00:25.770 ⇒ 00:00:35.500 Amber Lin: Every day. I’m like, oh, I’m late. Alright, let me send… this…
6 00:00:35.500 ⇒ 00:00:36.190 Awaish Kumar: Nice.
7 00:00:36.910 ⇒ 00:00:44.340 Amber Lin: Okay. Rob is out, so mostly I think we will do our own prioritizations, and then we’ll…
8 00:00:44.630 ⇒ 00:00:50.899 Amber Lin: We’ll think about, some planning and different points and stuff.
9 00:00:51.110 ⇒ 00:00:51.810 Awaish Kumar: I remember.
10 00:00:52.720 ⇒ 00:01:00.109 Amber Lin: Right now, we are in the middle of a cycle, so I think mostly prioritization should be the same.
11 00:01:00.530 ⇒ 00:01:04.679 Amber Lin: I’m just gonna go through and make sure everything has points.
12 00:01:04.860 ⇒ 00:01:09.889 Amber Lin: Let me share screen, and then we can talk about if any new things came up.
13 00:01:10.120 ⇒ 00:01:12.990 Amber Lin: I’ve not had a chance to go through the channels.
14 00:01:13.460 ⇒ 00:01:14.590 Amber Lin: Okay.
15 00:01:16.810 ⇒ 00:01:17.360 Awaish Kumar: First thing.
16 00:01:17.360 ⇒ 00:01:18.020 Amber Lin: Lee.
17 00:01:18.710 ⇒ 00:01:24.470 Amber Lin: Annie’s no longer with us, so…
18 00:01:24.470 ⇒ 00:01:28.260 Awaish Kumar: I think dashboarding things will have to go to Robert.
19 00:01:30.350 ⇒ 00:01:32.819 Awaish Kumar: Like, we can assign to Henry.
20 00:01:33.650 ⇒ 00:01:34.830 Amber Lin: Oh, okay.
21 00:01:34.940 ⇒ 00:01:35.830 Amber Lin: Okay.
22 00:01:36.090 ⇒ 00:01:45.289 Amber Lin: So, dashboard tracking revenue metrics… Don’t know if the… Previous ones have.
23 00:01:45.290 ⇒ 00:01:50.129 Awaish Kumar: We can’t, like… Oh, man, we are…
24 00:01:50.690 ⇒ 00:01:56.399 Awaish Kumar: Like, Dem… I think Demladic also can work with Tableau. We can…
25 00:01:56.650 ⇒ 00:02:00.079 Awaish Kumar: Confirm, in the… in the stand-up.
26 00:02:00.190 ⇒ 00:02:08.739 Awaish Kumar: But, who is most expensive? I don’t know, I don’t recall, maybe.
27 00:02:08.740 ⇒ 00:02:13.649 Amber Lin: I don’t use that 80 per hour. Maybe, is that 40 or a 50?
28 00:02:14.730 ⇒ 00:02:15.790 Amber Lin: Not sure.
29 00:02:16.820 ⇒ 00:02:24.920 Awaish Kumar: Yeah, like, so, like, I don’t know, like, Tamilade wanted to be primary AE,
30 00:02:25.300 ⇒ 00:02:31.239 Awaish Kumar: And Eden, and maybe he said he can support some Tableau as well.
31 00:02:31.400 ⇒ 00:02:32.910 Amber Lin: Oh, okay. But.
32 00:02:32.930 ⇒ 00:02:39.690 Awaish Kumar: But the thing is that he is also working on herbal stems. How much do we need him on herbal stems?
33 00:02:39.880 ⇒ 00:02:42.830 Awaish Kumar: while, like, autumn is the primary
34 00:02:42.970 ⇒ 00:02:48.239 Awaish Kumar: If Utam is the primary AE on upper stems, How… like, what are they…
35 00:02:48.240 ⇒ 00:02:50.279 Amber Lin: No, I’ll just probably add…
36 00:02:51.990 ⇒ 00:03:06.279 Amber Lin: Let me show you, he… we just did… we just did planning, so, these carried over from last cycle, but other than that, he’s at about 19 points, which means 20 hours-ish.
37 00:03:06.670 ⇒ 00:03:07.650 Amber Lin: Per week.
38 00:03:12.870 ⇒ 00:03:14.859 Awaish Kumar: 5 pounds is 8 hours.
39 00:03:18.990 ⇒ 00:03:19.740 Awaish Kumar: click.
40 00:03:20.530 ⇒ 00:03:23.189 Awaish Kumar: 19 points, like, 5 point, like…
41 00:03:23.480 ⇒ 00:03:29.110 Awaish Kumar: with our previous definition of points, like, 5 points is equal to 8 hours, right?
42 00:03:29.760 ⇒ 00:03:38.279 Amber Lin: I’m just going to do 1 point equals 2 hours, just so that when we do calculations, it’s a lot… it’s a lot simpler.
43 00:03:38.710 ⇒ 00:03:40.160 Amber Lin: Sony?
44 00:03:40.160 ⇒ 00:03:41.010 Awaish Kumar: It is one hour.
45 00:03:41.400 ⇒ 00:03:42.840 Amber Lin: 1.2 hours.
46 00:03:44.660 ⇒ 00:03:45.610 Awaish Kumar: Okay.
47 00:03:46.430 ⇒ 00:03:49.950 Awaish Kumar: Why can’t we just… Say, one hour.
48 00:03:50.440 ⇒ 00:03:56.889 Amber Lin: We can also do that. As long as we all agree that one point is 1 hour, we can do that. I have no problem with that.
49 00:03:57.190 ⇒ 00:04:04.010 Awaish Kumar: Okay, like, I would suggest that, like, so it’s become very… So both.
50 00:04:04.490 ⇒ 00:04:05.010 Amber Lin: Huh.
51 00:04:05.560 ⇒ 00:04:16.619 Awaish Kumar: So, like, even… but the current… the points which are assigned right now, like, I don’t know what they are based on. Are they based on previous definition, where we say.
52 00:04:17.230 ⇒ 00:04:19.690 Awaish Kumar: 5 projects is 8 hours, or they are.
53 00:04:19.690 ⇒ 00:04:25.030 Amber Lin: I think Semaladin Utam knows I use 1 point equals 2 hours.
54 00:04:25.230 ⇒ 00:04:27.289 Amber Lin: That’s what I’ve been…
55 00:04:27.290 ⇒ 00:04:30.419 Awaish Kumar: If you’re saying 19, then it’s, like, 38 hours.
56 00:04:31.150 ⇒ 00:04:36.280 Amber Lin: Yeah, so that would be… this is for the whole cycle, so that would be around…
57 00:04:36.460 ⇒ 00:04:39.290 Amber Lin: Say, like, 19 hours per week.
58 00:04:39.290 ⇒ 00:04:41.689 Awaish Kumar: It’s still 20 hours per week.
59 00:04:42.780 ⇒ 00:04:43.340 Amber Lin: Yeah.
60 00:04:45.170 ⇒ 00:04:49.010 Awaish Kumar: Okay, so we only have 24 Deputy Medium.
61 00:04:51.460 ⇒ 00:04:58.870 Awaish Kumar: Okay, then we can use… utilize Henry, but if WLRD does not have AAE work, then we can.
62 00:04:58.870 ⇒ 00:05:00.789 Amber Lin: I think we’ll have some capacity.
63 00:05:00.980 ⇒ 00:05:03.490 Awaish Kumar: Then we can assign Tableau work as well.
64 00:05:03.880 ⇒ 00:05:07.189 Amber Lin: Okay, so I’m gonna show…
65 00:05:07.520 ⇒ 00:05:10.540 Awaish Kumar: But what is the priority for projects? Is the same?
66 00:05:10.980 ⇒ 00:05:17.809 Amber Lin: I would assume so, so that would be Customer I.O, the ROAS and Affiliate stuff.
67 00:05:18.250 ⇒ 00:05:24.089 Amber Lin: some tag and tracking, I don’t know… I don’t know if the mix panel is done, that I’ll need to check with Henry.
68 00:05:24.370 ⇒ 00:05:26.909 Amber Lin: And then there’s a final…
69 00:05:26.910 ⇒ 00:05:28.789 Awaish Kumar: We have some finance dashboards.
70 00:05:28.790 ⇒ 00:05:32.660 Amber Lin: Yeah. And also, we have this, so dashboards for…
71 00:05:32.850 ⇒ 00:05:39.679 Amber Lin: Cutter and Devin. I don’t know what projects this would fall under. These seems like some revenue metrics and conversion…
72 00:05:39.830 ⇒ 00:05:45.000 Amber Lin: metrics, so these are ad hoc dashboarding requests.
73 00:05:48.340 ⇒ 00:05:52.110 Awaish Kumar: Okay, check it. So, yeah, these we can assign to Henry.
74 00:05:53.030 ⇒ 00:05:59.879 Awaish Kumar: And, let me create one more… let’s also create one more task.
75 00:06:00.430 ⇒ 00:06:03.039 Awaish Kumar: For a… for a GHL reverse ETL.
76 00:06:03.040 ⇒ 00:06:03.580 Amber Lin: Okay.
77 00:06:03.580 ⇒ 00:06:06.060 Awaish Kumar: And assign it to…
78 00:06:06.060 ⇒ 00:06:09.739 Amber Lin: Oh, we have GHL, but we don’t have reverse ETL, right?
79 00:06:10.060 ⇒ 00:06:14.590 Awaish Kumar: Yeah, so that’s, like, there are two things. GHL is not a source here.
80 00:06:14.870 ⇒ 00:06:23.290 Awaish Kumar: Seems like GHL is a destination. So they want us that any person.
81 00:06:23.480 ⇒ 00:06:26.360 Awaish Kumar: Who, abandoned the checkout?
82 00:06:26.540 ⇒ 00:06:32.280 Awaish Kumar: Right? They should, like, know them. They can, like, identify those
83 00:06:32.530 ⇒ 00:06:37.609 Awaish Kumar: people who were about to check out, but didn’t, right? They abandoned the checkout.
84 00:06:37.610 ⇒ 00:06:38.360 Amber Lin: Go.
85 00:06:38.360 ⇒ 00:06:43.000 Awaish Kumar: So they can, like, what to say, like, message them, or…
86 00:06:43.640 ⇒ 00:06:48.429 Awaish Kumar: outreach them with the SMS that they have left somewhere.
87 00:06:50.830 ⇒ 00:06:51.350 Awaish Kumar: Friendly.
88 00:06:51.350 ⇒ 00:06:54.280 Amber Lin: Right now, for DHL. Yeah, I…
89 00:06:54.280 ⇒ 00:07:00.689 Awaish Kumar: So we don’t have this source, so we don’t have the access to this, so I’m working with Rayon to get the access.
90 00:07:00.690 ⇒ 00:07:03.600 Amber Lin: For the platform, and then.
91 00:07:04.220 ⇒ 00:07:13.095 Awaish Kumar: I also need to work… so I need two tickets here. One… For me.
92 00:07:14.590 ⇒ 00:07:15.849 Amber Lin: To connect a source.
93 00:07:15.850 ⇒ 00:07:22.960 Awaish Kumar: To connect… to, like, figure out the authentication with source, and also figure out what data needs to be sent.
94 00:07:23.320 ⇒ 00:07:23.830 Amber Lin: I’m glad.
95 00:07:23.830 ⇒ 00:07:30.719 Awaish Kumar: And then… Second, for Henry, to actually send that data to GHL.
96 00:07:35.170 ⇒ 00:07:37.730 Amber Lin: for Henry to send that data NHL.
97 00:07:39.890 ⇒ 00:07:42.199 Awaish Kumar: Yeah, this reverse ETL is for 10 movie.
98 00:07:43.670 ⇒ 00:07:46.389 Awaish Kumar: Okay, no, sir, sorry, yeah.
99 00:07:47.310 ⇒ 00:07:48.810 Awaish Kumar: Two things, like, reverse…
100 00:07:48.810 ⇒ 00:07:49.789 Amber Lin: Super things, right?
101 00:07:49.790 ⇒ 00:07:50.630 Awaish Kumar: Yeah.
102 00:07:50.740 ⇒ 00:07:54.019 Amber Lin: Okay. Yeah, basically, reverse ETL, we call reverse ETL.
103 00:07:54.140 ⇒ 00:08:01.340 Awaish Kumar: When the data… we are sending data from, somewhere to a platform, but the thing is that,
104 00:08:01.560 ⇒ 00:08:05.430 Awaish Kumar: That’s… these are basically the same. But here, what we are…
105 00:08:05.980 ⇒ 00:08:13.129 Awaish Kumar: what I’m saying, like, what data needs to be sent is assigned to me, and then one other task which is assigned to me is that
106 00:08:13.350 ⇒ 00:08:16.250 Awaish Kumar: How to connect with this platform, right?
107 00:08:16.250 ⇒ 00:08:17.049 Amber Lin: Yeah.
108 00:08:17.050 ⇒ 00:08:18.680 Awaish Kumar: Okay, so authentication.
109 00:08:18.930 ⇒ 00:08:26.879 Awaish Kumar: And yeah, for Henry, it’s just one task, not two, like, reverse ETL and sending data is the same thing.
110 00:08:27.110 ⇒ 00:08:28.640 Amber Lin: Oh, gotcha.
111 00:08:30.420 ⇒ 00:08:32.140 Amber Lin: So…
112 00:08:35.159 ⇒ 00:08:38.029 Amber Lin: How many points would this be?
113 00:08:38.030 ⇒ 00:08:38.879 Awaish Kumar: This is the light.
114 00:08:41.650 ⇒ 00:08:44.269 Amber Lin: This would be, like, an hour? Two hours?
115 00:08:44.270 ⇒ 00:08:47.110 Awaish Kumar: Everything is ready, he can send it in one hour, one hour.
116 00:08:47.550 ⇒ 00:08:48.600 Amber Lin: Gotcha.
117 00:08:49.280 ⇒ 00:08:56.270 Amber Lin: Delete that… And for you, this one would be…
118 00:08:57.680 ⇒ 00:09:02.619 Awaish Kumar: What… yeah, this will also be around, maybe 1 hour, or…
119 00:09:03.300 ⇒ 00:09:10.179 Awaish Kumar: Between 1 and 2, so… but, I don’t know. But the connection, I’m not sure how long it’s gonna be, because it is…
120 00:09:10.180 ⇒ 00:09:15.369 Amber Lin: We have 3 points for now. Yeah. We also have Connect to QuickBooks.
121 00:09:15.370 ⇒ 00:09:19.659 Awaish Kumar: Yeah, because we might need to create a, like, a pipeline, right?
122 00:09:19.810 ⇒ 00:09:25.420 Awaish Kumar: So my… after I get the authentications, We need to figure out…
123 00:09:25.420 ⇒ 00:09:28.439 Amber Lin: I sent it to the Eden email that you gave me.
124 00:09:29.740 ⇒ 00:09:33.440 Awaish Kumar: Okay, so I was just… I was still talking about kitchen, okay.
125 00:09:33.780 ⇒ 00:09:34.660 Awaish Kumar: Yeah.
126 00:09:34.720 ⇒ 00:09:36.760 Amber Lin: So, that we can…
127 00:09:36.760 ⇒ 00:09:44.229 Awaish Kumar: Yeah, we got the access, but we need to… I need to, like, provide you with your number, and then find… finalize that.
128 00:09:47.920 ⇒ 00:09:52.589 Amber Lin: Yeah, my number… Utam also gave you his number, but you can use mine.
129 00:09:52.690 ⇒ 00:10:01.489 Amber Lin: yeah, feel free to message me if you need, like, a code or anything.
130 00:10:01.490 ⇒ 00:10:02.470 Awaish Kumar: Okay, yeah, sure.
131 00:10:02.810 ⇒ 00:10:04.479 Amber Lin: How many points would that be?
132 00:10:05.010 ⇒ 00:10:06.090 Awaish Kumar: One…
133 00:10:09.290 ⇒ 00:10:09.930 Amber Lin: Okay.
134 00:10:10.090 ⇒ 00:10:15.259 Amber Lin: She shall… Are we adding this snapshot model for COGS?
135 00:10:15.950 ⇒ 00:10:19.139 Awaish Kumar: Yeah, we can deep, like, de-prioritize it right now.
136 00:10:19.550 ⇒ 00:10:20.220 Amber Lin: Okay.
137 00:10:23.700 ⇒ 00:10:24.850 Amber Lin: Hello?
138 00:10:25.250 ⇒ 00:10:26.070 Awaish Kumar: No?
139 00:10:26.070 ⇒ 00:10:28.550 Amber Lin: So, say this is high.
140 00:10:29.330 ⇒ 00:10:37.020 Amber Lin: I’ll also say this is high, because they asked for it. Yeah, I think these.
141 00:10:37.130 ⇒ 00:10:44.470 Amber Lin: And then that one can also be low priority. So, for the rest, these three we can kick out if we need.
142 00:10:44.470 ⇒ 00:10:49.579 Awaish Kumar: like, for… For today, like, for this week, right now, we have 5 hours.
143 00:10:49.930 ⇒ 00:10:57.019 Awaish Kumar: Which are high priority, and I would like to do it. But then, for 710, it’s kind of blocked.
144 00:10:57.310 ⇒ 00:11:06.180 Awaish Kumar: I need a polyatomic, to build a pipeline, and then I also need Rajuel to send the authentication. He hasn’t sent any.
145 00:11:06.890 ⇒ 00:11:11.830 Amber Lin: Okay, sounds good. This is… this is… have we asked Polytomic?
146 00:11:12.970 ⇒ 00:11:14.080 Awaish Kumar: Yes, yes, I did.
147 00:11:14.080 ⇒ 00:11:20.029 Amber Lin: Okay, awesome. I’ll just put it as blocked. I’m going to move these two out, because I…
148 00:11:20.140 ⇒ 00:11:23.050 Awaish Kumar: I think you would need…
149 00:11:23.050 ⇒ 00:11:39.059 Amber Lin: 1, 2, 3… those would take, like, 10 hours-ish. You have 15, but you probably will end up helping on some other stuff, so I’m just gonna… just gonna move it out. We can take… grab them in later if we need.
150 00:11:39.620 ⇒ 00:11:40.450 Amber Lin: Okay.
151 00:11:41.530 ⇒ 00:11:49.519 Amber Lin: And then, on… Yeah, we’ll have to delegate Annie’s… Annie’s tasks there.
152 00:11:50.330 ⇒ 00:11:57.520 Amber Lin: I’ll just say… What are… when are we doing this GHL thing?
153 00:11:58.000 ⇒ 00:12:06.330 Amber Lin: I’ll just… I’ll just say end of this week, both of these. Okay, for Demolati’s tasks, these are all Basque.
154 00:12:06.450 ⇒ 00:12:12.859 Amber Lin: that BASC has not responded. Just gonna put that there.
155 00:12:13.700 ⇒ 00:12:20.150 Amber Lin: And… I don’t know who’s gonna review this PR.
156 00:12:21.610 ⇒ 00:12:24.570 Awaish Kumar: This was… wasn’t that done already?
157 00:12:24.730 ⇒ 00:12:25.340 Awaish Kumar: I think…
158 00:12:25.340 ⇒ 00:12:26.490 Amber Lin: Yeah, this is…
159 00:12:26.490 ⇒ 00:12:26.890 Awaish Kumar: Good evening.
160 00:12:26.890 ⇒ 00:12:28.890 Amber Lin: This is done. Let me check.
161 00:12:30.160 ⇒ 00:12:39.129 Amber Lin: No, this was… I think that was done, I just need to confirm, but Annie’s not here, so I don’t actually know if this is done.
162 00:12:39.130 ⇒ 00:12:45.620 Awaish Kumar: Yeah, it was done, like, vasquez don’t have…
163 00:12:48.300 ⇒ 00:12:52.179 Awaish Kumar: Okay. The task modeling is done, I think the dashboard needs some edits, maybe.
164 00:12:52.180 ⇒ 00:12:59.150 Amber Lin: Okay, okay, gotcha. I’ll check with him one last time, and we’ll close it, and then these are the tasks…
165 00:13:00.110 ⇒ 00:13:01.530 Amber Lin: for him…
166 00:13:05.590 ⇒ 00:13:07.510 Awaish Kumar: What are some modeling tasks?
167 00:13:08.520 ⇒ 00:13:11.849 Amber Lin: So, that’s a re… that’s a message.
168 00:13:12.110 ⇒ 00:13:17.139 Amber Lin: Do we want him to do the Cox Notion doc, or should we push that out?
169 00:13:18.800 ⇒ 00:13:21.409 Awaish Kumar: Yeah, it’s a good idea to create that.
170 00:13:21.630 ⇒ 00:13:23.459 Amber Lin: Okay, we’ll do that then.
171 00:13:23.460 ⇒ 00:13:28.510 Awaish Kumar: If we don’t have anything, like, urgent, then we can just… Let’s see.
172 00:13:28.510 ⇒ 00:13:39.260 Amber Lin: So, he has… for modeling, he has one for internal and two for finance. So, finance one is the actual… so for two different dashboards, actually.
173 00:13:39.490 ⇒ 00:13:45.870 Amber Lin: It was scheduled for last week, I didn’t hear anything, so don’t know, Ashley about that.
174 00:13:45.870 ⇒ 00:13:48.810 Awaish Kumar: Probably, like, 5, 6, 7 points?
175 00:13:52.060 ⇒ 00:14:00.790 Amber Lin: Yeah, so it’s 6 if we do the internal one. So I’m gonna say this one for, like, the wins?
176 00:14:01.390 ⇒ 00:14:02.680 Amber Lin: Thursday?
177 00:14:04.050 ⇒ 00:14:07.560 Amber Lin: And then this… For Friday.
178 00:14:08.060 ⇒ 00:14:12.779 Amber Lin: Do we want to do the internal test? This was brought up by Annie.
179 00:14:17.010 ⇒ 00:14:18.389 Awaish Kumar: Yeah, we can do that.
180 00:14:19.020 ⇒ 00:14:19.720 Amber Lin: Okay.
181 00:14:21.850 ⇒ 00:14:22.600 Amber Lin: No.
182 00:14:23.230 ⇒ 00:14:25.100 Amber Lin: Where’s this hot?
183 00:14:25.320 ⇒ 00:14:26.670 Amber Lin: Medium…
184 00:14:27.270 ⇒ 00:14:27.929 Awaish Kumar: I agree.
185 00:14:29.790 ⇒ 00:14:31.330 Amber Lin: Hello.
186 00:14:41.880 ⇒ 00:14:46.839 Amber Lin: Well, he currently has about 10 points. That one’s done.
187 00:14:47.450 ⇒ 00:14:50.710 Amber Lin: Okay, that’s about… about right, I think.
188 00:14:51.820 ⇒ 00:14:55.159 Amber Lin: Okay, about 8 points. He’s gonna get some tasks from Annie.
189 00:14:56.310 ⇒ 00:15:03.500 Amber Lin: Let me see… Okay, and then on Henry’s plate… .
190 00:15:03.960 ⇒ 00:15:05.159 Henry Zhao: Hey guys, I’m here.
191 00:15:05.420 ⇒ 00:15:06.330 Amber Lin: Bye!
192 00:15:06.650 ⇒ 00:15:07.170 Awaish Kumar: Hello.
193 00:15:07.170 ⇒ 00:15:07.810 Henry Zhao: Hello.
194 00:15:07.810 ⇒ 00:15:15.279 Amber Lin: We’re just grooming so that when we’re in… when we’re in planning, we know, like, what we need to take out.
195 00:15:15.400 ⇒ 00:15:19.510 Amber Lin: I think, to give you an overview, Annie’s out, so…
196 00:15:19.800 ⇒ 00:15:30.149 Amber Lin: We need someone to take the dashboarding task, and we’re thinking probably between Henry, you, and maybe Damla, they can help a little bit.
197 00:15:30.150 ⇒ 00:15:31.260 Henry Zhao: Yeah, absolutely.
198 00:15:32.090 ⇒ 00:15:43.360 Amber Lin: dashboarding tasks, so I’m just looking at everybody’s points right now. For your tickets, are all of these we need… do we need to do all of these this week?
199 00:15:43.780 ⇒ 00:15:50.849 Henry Zhao: No, I don’t think the even, 628, like, is that urgent, and, like, the stakeholder’s not even responding.
200 00:15:51.040 ⇒ 00:15:54.820 Henry Zhao: So… Yeah, that probably won’t be done this week.
201 00:15:54.970 ⇒ 00:16:01.800 Henry Zhao: Ucm Tracking in Northam, that’ll probably be, like, Zoran that does that. I, interviewed him this morning.
202 00:16:02.060 ⇒ 00:16:10.120 Henry Zhao: And it seems fine, but, like, that’ll be probably his point. Like, there’ll be minimal involvement from me until he gets his work done.
203 00:16:10.590 ⇒ 00:16:13.449 Henry Zhao: So, I’m willing to take on more points for this week.
204 00:16:14.520 ⇒ 00:16:30.209 Amber Lin: Yeah, and Robert said probably, he wants you to do a total of 30 hours. I know you’re also doing default, and if we keep the current distribution, that will probably be… let me see what’s 75%?
205 00:16:30.210 ⇒ 00:16:34.710 Henry Zhao: I have, I have very few, hours required for defaulted weekly.
206 00:16:35.400 ⇒ 00:16:37.839 Henry Zhao: So, I’m pretty open for even… yeah.
207 00:16:38.210 ⇒ 00:16:40.300 Amber Lin: Okay, awesome. So, how is this…
208 00:16:43.340 ⇒ 00:16:44.230 Amber Lin: Yeah.
209 00:16:44.230 ⇒ 00:16:45.909 Henry Zhao: What’s that a wish?
210 00:16:46.580 ⇒ 00:16:49.629 Awaish Kumar: Yeah, how much more time we need on this 715?
211 00:16:51.850 ⇒ 00:16:53.509 Henry Zhao: That’s definitely 5 points.
212 00:16:54.620 ⇒ 00:16:59.759 Awaish Kumar: No, like, like, you already worked on this already, right? From…
213 00:16:59.990 ⇒ 00:17:02.280 Awaish Kumar: Or, like, we will be, like…
214 00:17:02.630 ⇒ 00:17:07.929 Henry Zhao: But it hasn’t really done anything, so we need the round to work on this, and it’s gonna be 5 points.
215 00:17:08.310 ⇒ 00:17:09.940 Henry Zhao: We estimate it’ll be 10 hours.
216 00:17:10.400 ⇒ 00:17:11.060 Amber Lin: Okay.
217 00:17:11.069 ⇒ 00:17:14.649 Awaish Kumar: But, like, it’s been there for some time, like, what’s the blocker?
218 00:17:15.319 ⇒ 00:17:20.569 Henry Zhao: Well, we were waiting on the Polycomic connector, but that didn’t do anything, so we need to start from scratch.
219 00:17:22.249 ⇒ 00:17:29.749 Awaish Kumar: No, no, so Polytomic was, like, sending the orders data, but this is about UTM tracking, so, like, what is the…
220 00:17:29.919 ⇒ 00:17:30.839 Awaish Kumar: Connection?
221 00:17:31.400 ⇒ 00:17:38.729 Henry Zhao: It’s basically, we’re gonna be using the edge layer tracking, as well as he’s gonna use server-side GTM.
222 00:17:39.030 ⇒ 00:17:41.930 Henry Zhao: to improve UPM tracking, and then I’ll be switching it with segments.
223 00:17:42.790 ⇒ 00:17:47.229 Awaish Kumar: So, if we switched off polyatomic, so, like, what is the now plan for North Pain?
224 00:17:49.010 ⇒ 00:17:53.590 Henry Zhao: We’re gonna be sending the UTM data into, BigQuery, stitching it there.
225 00:17:53.810 ⇒ 00:17:56.250 Henry Zhao: And then sending that data into Northampton.
226 00:17:56.820 ⇒ 00:18:00.780 Henry Zhao: Using polysomic, probably, or something else.
227 00:18:01.740 ⇒ 00:18:07.640 Awaish Kumar: But where the data which is coming to BigQuery, where that is coming from.
228 00:18:08.950 ⇒ 00:18:13.599 Henry Zhao: It’s gonna be coming from Cloudflare workers, and GPM.
229 00:18:14.600 ⇒ 00:18:16.820 Henry Zhao: That’s what the run is gonna help me set up, yeah.
230 00:18:16.820 ⇒ 00:18:20.090 Awaish Kumar: So he’ll still be sending orders from Polytomic.
231 00:18:20.840 ⇒ 00:18:22.760 Henry Zhao: Maybe, we’ll see, when we get there.
232 00:18:24.140 ⇒ 00:18:26.990 Awaish Kumar: Okay, and so what is the due date for this?
233 00:18:28.520 ⇒ 00:18:34.120 Henry Zhao: We can put this week, but I’m not optimistic that it’ll be done this week.
234 00:18:35.740 ⇒ 00:18:49.100 Henry Zhao: If we want to be more realistic, I’m thinking it’s gonna be next week, but we should aim for this week, because this is one of those things where if you aim for a certain day, it’s gonna get delayed, I feel. So, put it for this week, but in your mind, realize it’s probably gonna go on to next week.
235 00:18:50.030 ⇒ 00:18:56.430 Amber Lin: Okay, we added one ticket on the GHL sources.
236 00:18:57.480 ⇒ 00:18:59.090 Amber Lin: A wish… a wish do you want?
237 00:18:59.090 ⇒ 00:19:02.499 Awaish Kumar: Yeah, so GHL is a… is a, like.
238 00:19:03.250 ⇒ 00:19:07.009 Awaish Kumar: Platform that, marketing team is using,
239 00:19:07.010 ⇒ 00:19:07.510 Henry Zhao: Pardon me?
240 00:19:07.510 ⇒ 00:19:11.949 Awaish Kumar: And, like, there’s a… Parent ticket, where there is a lot of context.
241 00:19:12.250 ⇒ 00:19:16.370 Awaish Kumar: So, the thing is, they want some tickets, the…
242 00:19:16.590 ⇒ 00:19:20.620 Awaish Kumar: They want to identify the customers, whoever done the checkout.
243 00:19:20.820 ⇒ 00:19:24.369 Awaish Kumar: And then, want to send them some, like, I said.
244 00:19:24.370 ⇒ 00:19:26.960 Henry Zhao: Sorry, sorry, what is GHL?
245 00:19:28.000 ⇒ 00:19:32.510 Awaish Kumar: Jachel is a, platform, CRM platform.
246 00:19:32.740 ⇒ 00:19:35.440 Awaish Kumar: Kind of, they use it for SMS outreach.
247 00:19:35.560 ⇒ 00:19:50.240 Awaish Kumar: So they want to… similar to Customer I.O, they want to figure out some customers who were about to check out, but they didn’t, right? So they want to identify the people who wanted to
248 00:19:50.920 ⇒ 00:20:10.400 Awaish Kumar: had some, like, wanted to check out, but they didn’t, and then they want to, like, send them SMS for reminders or something like that. So, I’m working currently, I’m working on getting the authentication and everything from marketing team, but I would like your help in reverse ETLing the customer data.
249 00:20:10.400 ⇒ 00:20:18.650 Henry Zhao: Yeah, absolutely. So I’m gonna put a rush on getting an understanding of EVC, so that when we work on this, I can just do it directly in DVC with you, yeah?
250 00:20:19.230 ⇒ 00:20:20.900 Awaish Kumar: So I don’t any need for that.
251 00:20:21.500 ⇒ 00:20:26.170 Henry Zhao: Never mind, just let me know when you… let me look into the ticket, and then we talk about it.
252 00:20:26.700 ⇒ 00:20:31.169 Awaish Kumar: Yeah, so, like, for this one, we wanna do, like, by the end of this week.
253 00:20:31.730 ⇒ 00:20:32.809 Henry Zhao: Okay, no worries.
254 00:20:35.980 ⇒ 00:20:36.830 Amber Lin: Alright.
255 00:20:38.470 ⇒ 00:20:43.580 Awaish Kumar: So, all in all, how many, like, points currently we have for the annually?
256 00:20:43.990 ⇒ 00:20:49.250 Amber Lin: Henry’s currently have, 11 points, though this one is…
257 00:20:49.250 ⇒ 00:20:57.500 Awaish Kumar: this, and for Northbeam also, he might not, Like, utilize all hours, right?
258 00:20:57.500 ⇒ 00:21:02.969 Amber Lin: Yeah, so we’re prob- we’re probably at, like, 7-ish?
259 00:21:04.820 ⇒ 00:21:07.519 Awaish Kumar: Okay. 7 or 8-ish points.
260 00:21:07.580 ⇒ 00:21:12.570 Amber Lin: So, mostly we need to divide up Annie’s dashboarding tasks.
261 00:21:13.450 ⇒ 00:21:19.529 Amber Lin: So, there’s… This one, we’ve installed… I really don’t know what the…
262 00:21:19.530 ⇒ 00:21:24.319 Awaish Kumar: You… how… how do you feel with Tableau, Henry? Like, are you, like…
263 00:21:25.890 ⇒ 00:21:29.030 Henry Zhao: Yeah, I’m good with it. Yes, I’ve worked a lot with Tableau.
264 00:21:29.350 ⇒ 00:21:31.779 Awaish Kumar: Okay, so, like, can we assign…
265 00:21:32.420 ⇒ 00:21:37.520 Awaish Kumar: all the tickets for, for Annie to Henry, Right now?
266 00:21:38.110 ⇒ 00:21:40.980 Awaish Kumar: And maybe then when we meet in a stand-up.
267 00:21:41.120 ⇒ 00:21:44.809 Awaish Kumar: We’ll see, like, if, if any, any we want to…
268 00:21:45.170 ⇒ 00:21:50.110 Awaish Kumar: like, we will ask Debilade and see if we can assign some things to him.
269 00:21:50.270 ⇒ 00:21:55.400 Awaish Kumar: But for now, like, Annie’s no longer here, so no point in keeping tickets for Eddie.
270 00:21:56.010 ⇒ 00:21:58.209 Awaish Kumar: And anything like it…
271 00:21:59.340 ⇒ 00:22:05.259 Henry Zhao: Yeah, and anything, if there’s something I don’t know about a Tableau task where I need help, I can just ask Sam Malati for help. Like, we can do that.
272 00:22:05.260 ⇒ 00:22:05.600 Awaish Kumar: You know.
273 00:22:06.130 ⇒ 00:22:07.000 Henry Zhao: As we go.
274 00:22:07.000 ⇒ 00:22:15.969 Awaish Kumar: Yeah, we will meet in a stand-up, and then we will, see if, like, Damlade is good with Tableau also, like, we can then split the tasks as well.
275 00:22:15.970 ⇒ 00:22:16.620 Amber Lin: Okay.
276 00:22:17.410 ⇒ 00:22:18.110 Amber Lin: Okay.
277 00:22:18.110 ⇒ 00:22:27.039 Henry Zhao: Yeah, like, me meeting deadlines on Tableau stuff is not going to be a Tableau limitation, it’s me understanding the data behind it. So, if anything, I’ll just ask Tom later for help.
278 00:22:27.040 ⇒ 00:22:27.570 Amber Lin: Okay.
279 00:22:27.680 ⇒ 00:22:29.869 Henry Zhao: Okay, yeah, because Stemoly has…
280 00:22:30.460 ⇒ 00:22:31.660 Awaish Kumar: But we need to figure out that.
281 00:22:31.660 ⇒ 00:22:32.010 Amber Lin: Oh, no.
282 00:22:32.010 ⇒ 00:22:33.490 Awaish Kumar: the… a lot of the…
283 00:22:34.290 ⇒ 00:22:39.459 Awaish Kumar: We need to figure out the hours split, and basically have to adjust for that.
284 00:22:39.460 ⇒ 00:22:40.860 Henry Zhao: That’s all. Yeah.
285 00:22:41.370 ⇒ 00:22:58.260 Amber Lin: Yeah, there’s… I remember there’s two things. I know, Henry, you were thinking on… on that with, so one with Judd, and Cutter did say we want a dashboard after that, and then one with Devin, so this he wants this week.
286 00:22:58.490 ⇒ 00:22:59.840 Amber Lin: So… Yup.
287 00:23:00.250 ⇒ 00:23:05.559 Amber Lin: That would also have to be you. I just wanna let you know I’m gonna do this, and then…
288 00:23:05.790 ⇒ 00:23:11.790 Amber Lin: I think this is ad hoc, right? This is not related to… Like, affiliates or anything?
289 00:23:13.880 ⇒ 00:23:16.700 Henry Zhao: No, not related to affiliate.
290 00:23:16.930 ⇒ 00:23:17.300 Amber Lin: Okay.
291 00:23:17.300 ⇒ 00:23:20.110 Henry Zhao: But I’m gonna meet with Judd on that later today, after stand-up.
292 00:23:20.450 ⇒ 00:23:25.670 Amber Lin: Okay, awesome. And then, with Devin… That one.
293 00:23:25.670 ⇒ 00:23:29.129 Henry Zhao: That, yeah, that I haven’t looked into yet, but I’m leaving with Devin on that tomorrow.
294 00:23:29.490 ⇒ 00:23:30.150 Amber Lin: Okay.
295 00:23:30.150 ⇒ 00:23:30.730 Henry Zhao: Huh.
296 00:23:31.070 ⇒ 00:23:33.459 Amber Lin: So, let’s see, this is medium…
297 00:23:33.730 ⇒ 00:23:42.870 Henry Zhao: Yeah, you can put these due dates for now, but after I look into it, I might say, like, this will need more time, or this won’t be done by Friday, I’ll give an update.
298 00:23:42.870 ⇒ 00:23:48.370 Amber Lin: Gotcha. Okay. We have a new request.
299 00:23:48.500 ⇒ 00:23:59.620 Amber Lin: I think… Well, actually, this is… This is… Really, in progress.
300 00:23:59.990 ⇒ 00:24:04.529 Amber Lin: This is the calculator thing, right? This is done.
301 00:24:04.530 ⇒ 00:24:05.379 Awaish Kumar: This is John.
302 00:24:06.060 ⇒ 00:24:08.820 Amber Lin: This is done, moving that.
303 00:24:08.920 ⇒ 00:24:09.970 Amber Lin: Completed.
304 00:24:11.510 ⇒ 00:24:19.659 Amber Lin: I think we have… This for, like, member summary data, what is that?
305 00:24:25.210 ⇒ 00:24:27.180 Amber Lin: Oh, this was new.
306 00:24:28.690 ⇒ 00:24:32.999 Amber Lin: How many total… no. Oh, this is already assigned.
307 00:24:33.570 ⇒ 00:24:35.369 Amber Lin: Signed to Robert.
308 00:24:36.960 ⇒ 00:24:42.799 Amber Lin: Okay, this is the new one, so Catalyst Debugging conversion tracking.
309 00:24:42.900 ⇒ 00:24:44.819 Amber Lin: Have no context.
310 00:24:49.490 ⇒ 00:24:50.759 Henry Zhao: Can we ask Ryan about that?
311 00:24:50.760 ⇒ 00:24:51.650 Awaish Kumar: For context.
312 00:24:52.660 ⇒ 00:24:58.600 Amber Lin: Yeah, I’m going to copy and… grid here…
313 00:25:10.090 ⇒ 00:25:12.870 Amber Lin: Alright, who should I ate when I ask him?
314 00:25:13.590 ⇒ 00:25:15.880 Amber Lin: I’m just gonna ask in this channel.
315 00:25:19.650 ⇒ 00:25:21.360 Amber Lin: Saw your…
316 00:25:27.020 ⇒ 00:25:27.920 Awaish Kumar: So…
317 00:25:34.140 ⇒ 00:25:37.829 Amber Lin: Who should I tag? Always, do I tag you, or do I tag Henry?
318 00:25:38.660 ⇒ 00:25:41.020 Awaish Kumar: Alright, I’m gonna guide me.
319 00:25:43.550 ⇒ 00:25:44.520 Amber Lin: Awesome.
320 00:25:45.020 ⇒ 00:25:51.220 Amber Lin: Alright, looking at our current cycle, we probably should hop. Henry has a lot of tickets.
321 00:25:52.520 ⇒ 00:25:53.100 Awaish Kumar: Okay.
322 00:25:53.710 ⇒ 00:26:01.049 Awaish Kumar: Well, yeah, we will split, like, 8, like, 8 points means, like, how much we are saying, like, for WRA.
323 00:26:01.660 ⇒ 00:26:02.040 Amber Lin: Yeah.
324 00:26:02.430 ⇒ 00:26:03.619 Awaish Kumar: In terms of hours?
325 00:26:03.620 ⇒ 00:26:08.140 Amber Lin: Probably, like, 16.
326 00:26:08.870 ⇒ 00:26:11.380 Awaish Kumar: Yeah. Silent openness. Okay.
327 00:26:11.960 ⇒ 00:26:12.350 Amber Lin: Yeah.
328 00:26:12.350 ⇒ 00:26:15.010 Awaish Kumar: So it’s almost, like, 20, so we…
329 00:26:15.010 ⇒ 00:26:18.040 Amber Lin: push two out. Like, we can push the…
330 00:26:18.310 ⇒ 00:26:20.649 Amber Lin: Cox, but I think we want to do that.
331 00:26:20.920 ⇒ 00:26:23.439 Amber Lin: Full check. Maybe some of these can give to…
332 00:26:23.440 ⇒ 00:26:34.719 Awaish Kumar: Yeah, at most, he can only have one more ticket, because if we… even if we push them, he might get some ad hoc requests coming in the week. We have to, like, have 3-4 hours of buffer.
333 00:26:35.180 ⇒ 00:26:36.450 Amber Lin: I, I agree.
334 00:26:36.570 ⇒ 00:26:38.000 Amber Lin: I don’t think having.
335 00:26:38.000 ⇒ 00:26:39.309 Henry Zhao: Yeah, we have live meetings, too.
336 00:26:39.310 ⇒ 00:26:39.870 Amber Lin: law for you.
337 00:26:39.870 ⇒ 00:26:40.510 Henry Zhao: Okay?
338 00:26:40.800 ⇒ 00:26:41.150 Amber Lin: Yeah.
339 00:26:41.150 ⇒ 00:26:44.509 Awaish Kumar: Yeah, we… we… for Henry, we just have to assign the…
340 00:26:44.710 ⇒ 00:26:50.689 Awaish Kumar: Due dates, and, like, move the stuff out, like, if it’s more than capacity.
341 00:26:50.690 ⇒ 00:26:54.820 Amber Lin: Okay, I hear, okay, gotcha. Let’s hop, Demolani should be there.
342 00:26:55.190 ⇒ 00:26:56.580 Amber Lin: Alright, thanks guys.