Meeting Title: [Eden] Daily Standup Date: 2025-09-17 Meeting participants: Awaish Kumar, Fireflies.ai Notetaker Tigran, Andrew O’Neil, Amber Lin, Demilade Agboola, Henry Zhao, Josh
WEBVTT
1 00:07:52.420 ⇒ 00:07:53.720 Amber Lin: Hello.
2 00:07:59.920 ⇒ 00:08:01.350 Andrew O’Neil: Good morning.
3 00:08:01.590 ⇒ 00:08:02.930 Amber Lin: Good morning.
4 00:08:03.370 ⇒ 00:08:06.930 Amber Lin: Alright, clients are not here yet.
5 00:08:07.070 ⇒ 00:08:09.919 Amber Lin: So today, I just want to check on…
6 00:08:10.360 ⇒ 00:08:18.199 Amber Lin: Progress the tickets, check on our hours so far, and then hopefully groom tickets while we’re here.
7 00:08:18.860 ⇒ 00:08:20.730 Amber Lin: So, I just…
8 00:08:20.900 ⇒ 00:08:34.650 Amber Lin: Pinged again on this one. Andrew, I saw you were talking with, I think, Joseph on this. Is this close to done, or are we still waiting for him to ask… to respond and stuff?
9 00:08:35.830 ⇒ 00:08:45.219 Andrew O’Neil: Yeah, just a final meeting tomorrow, on this one to kind of make sure we’re both aligned, but yeah, this one should be done by the end of this week.
10 00:08:45.860 ⇒ 00:08:47.010 Amber Lin: Okay.
11 00:08:53.460 ⇒ 00:08:57.649 Amber Lin: Okay, right. And then a wish on this side.
12 00:09:06.260 ⇒ 00:09:08.060 Amber Lin: I wish you’re muted.
13 00:09:10.080 ⇒ 00:09:15.599 Awaish Kumar: Hallelujah I’m done with GHL, and .
14 00:09:16.630 ⇒ 00:09:20.359 Awaish Kumar: We’ll be working on, the next task.
15 00:09:21.110 ⇒ 00:09:22.979 Amber Lin: Okay, so neat.
16 00:09:23.550 ⇒ 00:09:24.830 Awaish Kumar: This is done.
17 00:09:25.250 ⇒ 00:09:28.909 Amber Lin: Oh, so Henry, is this task extent?
18 00:09:29.850 ⇒ 00:09:34.089 Awaish Kumar: Yeah, like, we… I verified with Joseph, so, like, Henry doesn’t have to do it.
19 00:09:34.870 ⇒ 00:09:41.850 Amber Lin: Oh, so I’ll say this is canceled, then. And then… great.
20 00:09:42.580 ⇒ 00:09:50.139 Amber Lin: And the other stuff is low priority. Do you think you would still get these done by Friday, or…
21 00:09:50.340 ⇒ 00:09:52.170 Awaish Kumar: H71 will be done today.
22 00:09:52.430 ⇒ 00:09:54.409 Awaish Kumar: And for the other one, I’ll see.
23 00:09:56.930 ⇒ 00:09:57.629 Awaish Kumar: This would have been.
24 00:09:57.630 ⇒ 00:09:59.269 Amber Lin: I’m sorry, this… this one?
25 00:09:59.820 ⇒ 00:10:00.380 Awaish Kumar: Yes.
26 00:10:00.380 ⇒ 00:10:01.110 Amber Lin: Yeah, okay.
27 00:10:01.590 ⇒ 00:10:03.170 Amber Lin: Today…
28 00:10:03.390 ⇒ 00:10:10.059 Amber Lin: Then… the others will see. Alright, sounds good. We might… we might push that out, but they haven’t asked.
29 00:10:10.060 ⇒ 00:10:13.239 Awaish Kumar: Yeah, I think that’s canceled, maybe, here.
30 00:10:14.330 ⇒ 00:10:15.900 Awaish Kumar: Because,
31 00:10:19.360 ⇒ 00:10:20.390 Awaish Kumar: Right.
32 00:10:20.670 ⇒ 00:10:27.749 Awaish Kumar: Gradwell says, Said something regarding Reddit data. I don’t remember right now, but it was in Slack, so…
33 00:10:29.780 ⇒ 00:10:32.490 Awaish Kumar: We have the connection, connector… connection…
34 00:10:32.850 ⇒ 00:10:38.480 Awaish Kumar: Like, in the North Beam, so we… if needed, we can, like, create a new ticket again.
35 00:10:43.870 ⇒ 00:10:44.540 Amber Lin: Great.
36 00:10:45.160 ⇒ 00:10:48.869 Amber Lin: I am going to say canceled… great.
37 00:10:49.400 ⇒ 00:10:53.640 Amber Lin: Alright, that’s a lot better. And then Demola, on your side.
38 00:10:57.660 ⇒ 00:11:01.170 Demilade Agboola: So on my side, the cabin request to add
39 00:11:01.400 ⇒ 00:11:06.009 Demilade Agboola: Some new fields for the offer.
40 00:11:06.010 ⇒ 00:11:21.690 Demilade Agboola: So that the filter is useful. That has been… a PR has been sent in. Henry’s currently looking at it, just to be sure that the numbers are what he desires. Once that is validated, we will merge to go into production.
41 00:11:22.480 ⇒ 00:11:27.370 Demilade Agboola: And we’ll be able to make the filter toggle more useful.
42 00:11:27.830 ⇒ 00:11:33.330 Demilade Agboola: Currently aggregating… I’m testing out the solution to aggregate the…
43 00:11:33.790 ⇒ 00:11:37.000 Demilade Agboola: Like, 748, so those are, like, the credits, the adjustments.
44 00:11:37.390 ⇒ 00:11:42.159 Demilade Agboola: And all of that, refunds, discounts, all of that. That’s currently in testing.
45 00:11:43.700 ⇒ 00:11:51.439 Demilade Agboola: PR. There is a bit of a hitch with it right now, so I’m trying to, like, ensure that I can work that out.
46 00:11:51.760 ⇒ 00:11:55.529 Demilade Agboola: Okay. But once I’m done with that, I should send PR in.
47 00:11:56.080 ⇒ 00:11:57.160 Demilade Agboola: Alright.
48 00:11:57.160 ⇒ 00:12:00.599 Amber Lin: And then for the rest of today, are you working on these?
49 00:12:00.760 ⇒ 00:12:06.630 Demilade Agboola: But yeah, also, yeah, I’m also working at 846. 846 and 748, I’m doing them in parallel.
50 00:12:07.020 ⇒ 00:12:07.780 Amber Lin: Okay.
51 00:12:08.850 ⇒ 00:12:11.350 Demilade Agboola: Yeah, so I’m actually testing both of them.
52 00:12:11.800 ⇒ 00:12:12.630 Amber Lin: Awesome.
53 00:12:13.290 ⇒ 00:12:19.099 Demilade Agboola: And then, so, what’s left will be, it’s 29, basically.
54 00:12:19.100 ⇒ 00:12:20.060 Amber Lin: Yeah, okay.
55 00:12:20.530 ⇒ 00:12:22.879 Amber Lin: Alright, sounds good, we’re on track.
56 00:12:22.980 ⇒ 00:12:31.429 Amber Lin: And then, Henry, I moved the GHL to cancel, because I think Joseph’s reading that.
57 00:12:32.230 ⇒ 00:12:41.560 Amber Lin: What’s the update on… On these two.
58 00:12:46.960 ⇒ 00:12:48.560 Henry Zhao: On which to?
59 00:12:49.590 ⇒ 00:12:55.439 Amber Lin: On the forecasting dashboard, and also mixed panel.
60 00:12:56.900 ⇒ 00:12:59.500 Henry Zhao: Yeah, so working on forecasting.
61 00:12:59.750 ⇒ 00:13:03.440 Henry Zhao: Still working on Mixpanel. Yeah, so basically those are still in progress.
62 00:13:04.100 ⇒ 00:13:16.789 Amber Lin: Okay, I added a ticket on the Optio Pharmacy. We probably need a spike. How long would this spike be to just investigate and figure out what’s wrong, what’s… what we need to do?
63 00:13:17.900 ⇒ 00:13:20.040 Amber Lin: Like, 2 hours?
64 00:13:20.700 ⇒ 00:13:25.129 Henry Zhao: Yeah, I don’t know. I probably need to meet with someone to understand what’s going on with Optio.
65 00:13:25.760 ⇒ 00:13:26.440 Amber Lin: Okay.
66 00:13:27.390 ⇒ 00:13:32.230 Amber Lin: Would you have to meet with Bobby? Because he sent… he sent some of these.
67 00:13:35.060 ⇒ 00:13:40.670 Henry Zhao: I already met with Bobby, and I’m, like, not sure he knows what’s going on, so…
68 00:13:41.490 ⇒ 00:13:42.729 Henry Zhao: Let me get back to you on this.
69 00:13:43.480 ⇒ 00:13:44.110 Amber Lin: Okay.
70 00:13:44.440 ⇒ 00:13:48.210 Amber Lin: I’ll set this to high…
71 00:13:49.060 ⇒ 00:13:50.440 Henry Zhao: Yeah, I’ll probably ask, Robert.
72 00:13:51.180 ⇒ 00:13:52.330 Amber Lin: Yeah, okay.
73 00:13:52.910 ⇒ 00:13:55.430 Amber Lin: So we have…
74 00:13:59.460 ⇒ 00:14:00.640 Amber Lin: Alright.
75 00:14:02.330 ⇒ 00:14:05.529 Amber Lin: Are we doing this one this week?
76 00:14:13.480 ⇒ 00:14:17.090 Henry Zhao: If I have time, I will get to it, yeah. If I have time, I’ll get to it.
77 00:14:17.290 ⇒ 00:14:18.300 Henry Zhao: I probably will, yeah.
78 00:14:18.300 ⇒ 00:14:19.090 Amber Lin: preferred.
79 00:14:19.690 ⇒ 00:14:20.989 Amber Lin: I’ll say Friday.
80 00:14:23.060 ⇒ 00:14:27.810 Amber Lin: Alright, because we still have the finance dashboards that I want to deliver.
81 00:14:27.810 ⇒ 00:14:31.449 Henry Zhao: Hopefully this week, so if we… we might not have time to get to that one.
82 00:14:32.510 ⇒ 00:14:33.399 Henry Zhao: Yeah, okay.
83 00:14:33.650 ⇒ 00:14:38.140 Amber Lin: Yeah, I’ll push, and then if you have extra time, we’ll pull it back in.
84 00:14:38.850 ⇒ 00:14:44.500 Amber Lin: Alright, and then on Robert’s side… Let’s see…
85 00:14:44.810 ⇒ 00:14:47.750 Amber Lin: Robert’s not here. I’ll go check with him.
86 00:14:48.510 ⇒ 00:14:53.199 Amber Lin: Remote stuff was sent yesterday.
87 00:14:53.400 ⇒ 00:14:58.850 Amber Lin: I think we’re still waiting for Adam to sign. I haven’t seen a response on the Slack channel.
88 00:15:00.030 ⇒ 00:15:04.449 Amber Lin: Henry, what… what’s the update on Zorin’s stuff?
89 00:15:17.160 ⇒ 00:15:18.110 Amber Lin: Hello.
90 00:15:19.930 ⇒ 00:15:22.640 Amber Lin: Oh, Harry, you’re muted if you were talking.
91 00:15:24.610 ⇒ 00:15:26.620 Henry Zhao: Sorry, it cut out, can you repeat that?
92 00:15:27.000 ⇒ 00:15:29.740 Amber Lin: Oh, what’s the update on Zorin’s stuff?
93 00:15:30.390 ⇒ 00:15:32.410 Amber Lin: So he’s not here in the meetings.
94 00:15:33.220 ⇒ 00:15:36.229 Henry Zhao: Oh, I’m gonna meet with him tomorrow morning, just to catch up on what.
95 00:15:37.210 ⇒ 00:15:37.750 Amber Lin: Okay.
96 00:15:37.750 ⇒ 00:15:38.460 Henry Zhao: He was able to do…
97 00:15:38.460 ⇒ 00:15:46.879 Amber Lin: And then… yeah, alright. And then, can you give me a sense of what the due dates would be on these, and if the estimates are accurate for him?
98 00:15:48.120 ⇒ 00:15:52.349 Henry Zhao: So improved ETM tracking in North Korean, probably next Friday.
99 00:15:52.880 ⇒ 00:15:54.119 Henry Zhao: Safari Remote.
100 00:15:54.120 ⇒ 00:15:54.880 Amber Lin: Next Friday.
101 00:15:54.880 ⇒ 00:15:59.089 Henry Zhao: Yeah, and then Safari, I’ll need to find out from the meeting tomorrow.
102 00:16:00.050 ⇒ 00:16:00.800 Amber Lin: Okay.
103 00:16:01.440 ⇒ 00:16:04.310 Henry Zhao: Yeah, they met about it this morning, but I wasn’t able to make it.
104 00:16:04.670 ⇒ 00:16:05.930 Amber Lin: Okay.
105 00:16:06.130 ⇒ 00:16:07.890 Amber Lin: the edge layer…
106 00:16:07.890 ⇒ 00:16:09.610 Henry Zhao: also, like, Friday.
107 00:16:11.000 ⇒ 00:16:15.909 Henry Zhao: Yeah, that’s what he was saying in the chat about, like, him needing 2 weeks, so we’ll put next Friday.
108 00:16:16.260 ⇒ 00:16:17.899 Amber Lin: Okay.
109 00:16:18.810 ⇒ 00:16:22.680 Amber Lin: And… but the rollout plan… did he create a doc yet?
110 00:16:24.420 ⇒ 00:16:26.809 Henry Zhao: No, I’ll have that by tomorrow.
111 00:16:27.100 ⇒ 00:16:30.299 Henry Zhao: I’ll be with him tomorrow, and I’ll create the rollout plan.
112 00:16:30.980 ⇒ 00:16:35.870 Amber Lin: Okay. I mean, if you’re creating it, you can let me know, and I can see if I can help.
113 00:16:36.360 ⇒ 00:16:42.730 Amber Lin: Because you already have a lot of tasks here. Just point me to the meetings and the transcripts, and I can help with that.
114 00:16:43.250 ⇒ 00:16:47.740 Henry Zhao: Okay. I mean, creating a plan shouldn’t be an issue, like, I just need to get an update from him.
115 00:16:47.740 ⇒ 00:16:49.210 Awaish Kumar: Alright.
116 00:16:49.210 ⇒ 00:16:49.740 Henry Zhao: you know.
117 00:16:51.010 ⇒ 00:16:55.629 Awaish Kumar: So, Henry has a lot of tickets where the end date is today or tomorrow.
118 00:16:56.210 ⇒ 00:16:57.820 Awaish Kumar: Is that realistic, or…
119 00:16:58.310 ⇒ 00:17:00.989 Amber Lin: Yes, let’s go and look here. So…
120 00:17:00.990 ⇒ 00:17:05.799 Henry Zhao: This is the finance dashboard. That’s where all the points are coming from, is the finance dashboard.
121 00:17:06.710 ⇒ 00:17:07.180 Amber Lin: Yeah.
122 00:17:07.180 ⇒ 00:17:08.990 Henry Zhao: It’s a lot of forecasting.
123 00:17:09.369 ⇒ 00:17:10.180 Henry Zhao: Yeah.
124 00:17:10.599 ⇒ 00:17:16.169 Awaish Kumar: Yeah, but the point is that I want to keep story points and the deadlines realistic.
125 00:17:16.399 ⇒ 00:17:27.099 Awaish Kumar: And, like, with the given story points, I don’t think it’s realistic to assume it will be done by Friday. So, like, let’s adjust… adjust for it.
126 00:17:28.339 ⇒ 00:17:33.239 Henry Zhao: Yeah, let’s keep… let’s keep the in-progress finance forecasting to this week and the other ones next week.
127 00:17:34.230 ⇒ 00:17:35.600 Amber Lin: Both of these?
128 00:17:35.600 ⇒ 00:17:41.240 Henry Zhao: So, yeah, so 753, 754 next week, and then it’s 752 this week.
129 00:17:42.250 ⇒ 00:17:44.250 Henry Zhao: And it might bleed into next week, yeah.
130 00:17:44.510 ⇒ 00:17:45.220 Henry Zhao: But hopefully not.
131 00:17:45.220 ⇒ 00:17:49.089 Amber Lin: Okay, so as you have Wednesday and 2 days left.
132 00:17:49.210 ⇒ 00:17:51.450 Amber Lin: With 2 days left…
133 00:17:51.600 ⇒ 00:18:01.879 Amber Lin: how many hours is left on this finance dashboard? Should we update the points? Because it… I feel like we might not… we have a bit more time than these two tickets.
134 00:18:03.770 ⇒ 00:18:09.259 Henry Zhao: I really don’t know, like, I’m right now I’m still working on figuring out, like, how many points it actually will be, so…
135 00:18:09.260 ⇒ 00:18:09.930 Amber Lin: Oh, okay.
136 00:18:09.930 ⇒ 00:18:11.140 Henry Zhao: Yeah, I’m not.
137 00:18:11.140 ⇒ 00:18:15.450 Awaish Kumar: One of the seven… Where is the progress on 752?
138 00:18:17.560 ⇒ 00:18:19.069 Henry Zhao: I’m still looking into it.
139 00:18:20.600 ⇒ 00:18:24.329 Awaish Kumar: Yeah, but, like, what is… what have you been looking at?
140 00:18:25.980 ⇒ 00:18:28.690 Henry Zhao: I’ve been looking through the dashboard and what the requirements are.
141 00:18:32.770 ⇒ 00:18:34.150 Amber Lin: Okay. Huh.
142 00:18:34.320 ⇒ 00:18:37.699 Amber Lin: Okay, let us know today…
143 00:18:37.700 ⇒ 00:18:38.820 Awaish Kumar: There’s no blockers, right?
144 00:18:42.580 ⇒ 00:18:47.430 Awaish Kumar: So there’s no one blocking it, right? Not Demlade, or me, or anyone.
145 00:18:47.430 ⇒ 00:18:53.590 Henry Zhao: No, no, there’s no… Modeling is done. Yeah, the modeling is done, I’m just working on the prototype right now.
146 00:18:56.350 ⇒ 00:18:56.950 Henry Zhao: Yeah.
147 00:18:58.300 ⇒ 00:19:01.399 Henry Zhao: And, and understanding the, the data, yeah.
148 00:19:02.060 ⇒ 00:19:02.690 Amber Lin: Okay.
149 00:19:02.690 ⇒ 00:19:03.190 Henry Zhao: our modeling.
150 00:19:03.190 ⇒ 00:19:07.209 Amber Lin: Yeah, how many hours did you spend on this so far?
151 00:19:08.210 ⇒ 00:19:09.640 Henry Zhao: 30 minutes.
152 00:19:09.640 ⇒ 00:19:11.020 Amber Lin: Okay, okay, okay.
153 00:19:11.320 ⇒ 00:19:18.559 Amber Lin: So I think 5 points is still reasonable. I’m gonna move one of these out, I think this is gonna take probably today, and then…
154 00:19:19.270 ⇒ 00:19:20.210 Amber Lin: Tomorrow.
155 00:19:20.210 ⇒ 00:19:22.599 Henry Zhao: Yeah, my goal is to at least finish this one by end of week.
156 00:19:22.980 ⇒ 00:19:37.710 Amber Lin: Yeah, okay. Between adjustable levers and… Revenue, expense forecasting… I’ll move this one out.
157 00:19:39.150 ⇒ 00:19:39.950 Amber Lin: Alright.
158 00:19:40.280 ⇒ 00:19:41.290 Amber Lin: fingers.
159 00:19:41.530 ⇒ 00:19:43.800 Amber Lin: Better, because these are still blocked.
160 00:19:44.520 ⇒ 00:19:47.949 Amber Lin: Alright, so I have these four tasks, I think that’s better.
161 00:19:48.740 ⇒ 00:19:51.440 Amber Lin: Okay, that’s all.
162 00:19:51.440 ⇒ 00:19:54.440 Henry Zhao: Yeah, and a lot of things, like, happen in parallel, right? Like, it’s not like…
163 00:19:55.110 ⇒ 00:20:01.879 Henry Zhao: Like, some of these, I have to, like, wait on people to answer things and stuff like that, so… it’s a little bit also good to have extra…
164 00:20:02.000 ⇒ 00:20:02.680 Henry Zhao: Point.
165 00:20:02.680 ⇒ 00:20:03.290 Amber Lin: Yeah.
166 00:20:03.290 ⇒ 00:20:05.279 Henry Zhao: And no, that’s not my goals right now.
167 00:20:05.500 ⇒ 00:20:06.630 Amber Lin: Makes sense.
168 00:20:06.630 ⇒ 00:20:08.080 Henry Zhao: Absolutely, yeah.
169 00:20:08.080 ⇒ 00:20:09.040 Amber Lin: Makes sense.
170 00:20:09.490 ⇒ 00:20:10.280 Amber Lin: Alright.
171 00:20:10.280 ⇒ 00:20:12.640 Henry Zhao: And some things I just need some time to think about, you know what I mean?
172 00:20:13.200 ⇒ 00:20:13.850 Amber Lin: Yeah.
173 00:20:15.720 ⇒ 00:20:18.259 Amber Lin: Let’s see…
174 00:20:18.960 ⇒ 00:20:24.749 Amber Lin: Well, I saw that Josh was here, but I think he hopped. I think that’s all, I’m gonna cancel the grooming.
175 00:20:24.760 ⇒ 00:20:39.660 Amber Lin: I’ll see what we can do to take the points down a little bit more, because I… I think we… we want to aim for a bit lower hours, probably closer to 50. I don’t know how we’re gonna get there, so I will look at
176 00:20:40.000 ⇒ 00:20:42.410 Amber Lin: Any of these, if we can push them out.
177 00:20:45.180 ⇒ 00:20:48.569 Awaish Kumar: We still have 15 minutes. Can we finish the grooming here?
178 00:20:49.210 ⇒ 00:20:59.130 Amber Lin: Sure, yeah, we can do that. Let’s see… due dates… Due dates… Alright.
179 00:20:59.920 ⇒ 00:21:03.170 Amber Lin: Finance… And of course, like…
180 00:21:03.170 ⇒ 00:21:09.749 Awaish Kumar: Is that realistic to… think that WLRI will achieve everything by tomorrow? By Friday?
181 00:21:09.930 ⇒ 00:21:11.909 Amber Lin: by Friday, I think we…
182 00:21:12.160 ⇒ 00:21:19.270 Amber Lin: Can… I won’t… I don’t know what this is, I’m just gonna cancel this. And then…
183 00:21:20.730 ⇒ 00:21:24.449 Amber Lin: I think if these are done today, and then we have…
184 00:21:25.470 ⇒ 00:21:29.520 Amber Lin: Essentially, just these two tasks, I think we can…
185 00:21:30.340 ⇒ 00:21:33.110 Awaish Kumar: Demolade, you can speak.
186 00:21:33.110 ⇒ 00:21:34.980 Demilade Agboola: Yeah, I was just gonna say that…
187 00:21:35.140 ⇒ 00:21:44.430 Demilade Agboola: I don’t… it depends on how we want to look at every single thing. For instance, like, 805, if we’re taking high priority, yes, maybe not every single task.
188 00:21:44.730 ⇒ 00:21:46.020 Amber Lin: Apart to it.
189 00:21:46.020 ⇒ 00:21:46.650 Demilade Agboola: Yes.
190 00:21:48.110 ⇒ 00:22:03.780 Awaish Kumar: Yeah, yeah, but I’m just saying that we… I just want to see, like, everything is set by… your tasks are, like, have end dates by Friday, so is it realistic that you will finish it, or if we push it, or whatever, like, want to adjust for that?
191 00:22:05.640 ⇒ 00:22:10.429 Demilade Agboola: Yeah, so, for instance, I would say something like 811 could be at risk.
192 00:22:10.930 ⇒ 00:22:15.910 Demilade Agboola: Like, it’s possible I might finish it, but it’s not… it’s not guaranteed, basically.
193 00:22:16.890 ⇒ 00:22:26.399 Demilade Agboola: I think… because once I’m done with that, I can be able to do, 8 to 9,
194 00:22:26.770 ⇒ 00:22:34.530 Demilade Agboola: And 745 is… No, there’s one I just saw right now. That was…
195 00:22:34.530 ⇒ 00:22:36.050 Awaish Kumar: Yeah, we want to do it like it.
196 00:22:36.050 ⇒ 00:22:41.310 Amber Lin: So, I scooted the internal… Yeah, so it’s an update.
197 00:22:41.310 ⇒ 00:22:42.780 Demilade Agboola: 3 channels out.
198 00:22:42.930 ⇒ 00:22:48.339 Demilade Agboola: That’s also… that’s, like, a one-pointer there about, like, that’s something that could be done this week.
199 00:22:49.490 ⇒ 00:22:55.800 Demilade Agboola: So, yeah, there are a couple of things… there are a couple of things that can be done, but I’d say the one at risk right now would probably be 811.
200 00:22:56.910 ⇒ 00:23:00.620 Amber Lin: H11. Okay, okay, I see.
201 00:23:00.740 ⇒ 00:23:07.739 Amber Lin: I’ll move it to… What is that? I just don’t hear them. It’s what… it’s a retention dashboard for Adam.
202 00:23:07.820 ⇒ 00:23:10.750 Demilade Agboola: I think it’s one of the adjustments that he…
203 00:23:11.160 ⇒ 00:23:12.879 Amber Lin: That he wanted.
204 00:23:13.380 ⇒ 00:23:14.130 Awaish Kumar: Okay.
205 00:23:14.540 ⇒ 00:23:15.390 Amber Lin: Yeah, so…
206 00:23:15.390 ⇒ 00:23:17.120 Awaish Kumar: Adjustment in the modeling, right?
207 00:23:17.710 ⇒ 00:23:18.050 Amber Lin: Yeah.
208 00:23:18.380 ⇒ 00:23:20.319 Demilade Agboola: Yes. Just the modeling for that.
209 00:23:23.600 ⇒ 00:23:29.740 Awaish Kumar: And, okay, we can push it for next week.
210 00:23:29.740 ⇒ 00:23:30.230 Amber Lin: Yeah.
211 00:23:30.550 ⇒ 00:23:36.860 Awaish Kumar: If some, if, if some, like, if, if you get, like, did you get ping.
212 00:23:36.860 ⇒ 00:23:37.680 Amber Lin: Whoa!
213 00:23:37.680 ⇒ 00:23:41.220 Awaish Kumar: We will say, like, how will then take it.
214 00:23:42.530 ⇒ 00:23:43.310 Amber Lin: Okay.
215 00:23:43.600 ⇒ 00:23:48.569 Amber Lin: So, we have… 4 points, 4 hours.
216 00:23:49.070 ⇒ 00:23:49.980 Amber Lin: Left.
217 00:23:51.160 ⇒ 00:23:54.510 Amber Lin: And then we finish testing here, I think that’s reasonable.
218 00:23:55.140 ⇒ 00:24:01.639 Amber Lin: We might have extra time left. If we have extra time, we’ll go pull the new… the stuff we pushed out back.
219 00:24:02.350 ⇒ 00:24:03.190 Amber Lin: Okay.
220 00:24:03.320 ⇒ 00:24:12.049 Amber Lin: And then… Fine, yes… I will scoot…
221 00:24:14.350 ⇒ 00:24:19.070 Amber Lin: Well, this will be ready for next week. And we still need this ticket?
222 00:24:19.070 ⇒ 00:24:31.799 Awaish Kumar: But, like, to be… to give some context to everyone, like, I just measured the tickets for Eden, and we are just, like, only, like, 17% of the tickets.
223 00:24:32.090 ⇒ 00:24:35.429 Awaish Kumar: Are being done within, deadlines.
224 00:24:35.880 ⇒ 00:24:43.319 Awaish Kumar: So, that means… We are not, like, giving the right deadlines and the story points.
225 00:24:43.580 ⇒ 00:24:46.350 Awaish Kumar: For tickets. Like, we have to be better at that.
226 00:24:46.720 ⇒ 00:24:49.180 Awaish Kumar: So, 17% is really bad, right?
227 00:24:49.790 ⇒ 00:24:51.430 Amber Lin: Yes.
228 00:24:52.550 ⇒ 00:25:05.650 Amber Lin: So for… Let’s see… That… is being… Work charm? Credit.
229 00:25:05.810 ⇒ 00:25:11.250 Amber Lin: Yeah, I think we’ll have to move… That one out.
230 00:25:11.970 ⇒ 00:25:15.389 Amber Lin: What is this ticket?
231 00:25:21.450 ⇒ 00:25:24.059 Awaish Kumar: This one was when I…
232 00:25:24.410 ⇒ 00:25:28.790 Awaish Kumar: create a… well, we wanted to push the data to North B.
233 00:25:29.020 ⇒ 00:25:32.210 Awaish Kumar: Right? And then there was also some…
234 00:25:32.360 ⇒ 00:25:37.689 Awaish Kumar: what was being done by Henry and Andrew on the UTM side.
235 00:25:37.810 ⇒ 00:25:42.959 Awaish Kumar: So, this was the ticket to just, measured the improvement, like, how…
236 00:25:43.360 ⇒ 00:25:44.179 Amber Lin: We knew it.
237 00:25:44.180 ⇒ 00:25:51.040 Awaish Kumar: solutions and the data, how much was the improvement, but I don’t think that’s… valid animal, we can…
238 00:25:51.040 ⇒ 00:25:59.429 Henry Zhao: It is, it is, it is, but it’s 4 weeks from now, so after Doran implements EdgeLayer, we want to implement Lyft,
239 00:25:59.430 ⇒ 00:26:00.310 Amber Lin: That’s exactly…
240 00:26:00.310 ⇒ 00:26:01.239 Henry Zhao: So, this’ll be…
241 00:26:01.240 ⇒ 00:26:01.630 Amber Lin: Okay.
242 00:26:01.630 ⇒ 00:26:03.210 Henry Zhao: Four cycles from an alcohol window.
243 00:26:03.210 ⇒ 00:26:09.789 Amber Lin: Yeah, I scooted that one out. I think I already created a ticket, so it might be a duplicate. Okay.
244 00:26:09.990 ⇒ 00:26:12.159 Amber Lin: Why is that block like?
245 00:26:12.260 ⇒ 00:26:12.860 Awaish Kumar: Huh.
246 00:26:12.860 ⇒ 00:26:13.190 Amber Lin: This one?
247 00:26:13.190 ⇒ 00:26:14.120 Awaish Kumar: 162?
248 00:26:14.960 ⇒ 00:26:20.919 Amber Lin: This one needs modeling. This is the model that the model is testing.
249 00:26:21.330 ⇒ 00:26:24.559 Amber Lin: So once that’s done, this will be unblocked.
250 00:26:25.850 ⇒ 00:26:28.490 Awaish Kumar: So we already have the model in production or not?
251 00:26:29.030 ⇒ 00:26:31.820 Amber Lin: It’s test, it’s in testing, it’s this one.
252 00:26:32.280 ⇒ 00:26:45.439 Demilade Agboola: Yeah, it’s not in production. I’m trying to make it, like, I’m testing it to be sure the numbers are what they should be, but some of the model, like, some parts are breaking, so I’m just trying to ensure that that works properly, then I would…
253 00:26:45.440 ⇒ 00:26:45.870 Awaish Kumar: Progressive.
254 00:26:45.870 ⇒ 00:26:47.150 Demilade Agboola: and the pickup entity.
255 00:27:07.190 ⇒ 00:27:14.300 Amber Lin: MO team… Can’t have a due dates there.
256 00:27:14.840 ⇒ 00:27:15.670 Amber Lin: Okay.
257 00:27:17.390 ⇒ 00:27:25.049 Amber Lin: And the Zoran tasks are not getting done this cycle, they’re 2 weeks ahead, so I don’t know how…
258 00:27:25.880 ⇒ 00:27:28.059 Henry Zhao: I think the rollout plan was just, like, a…
259 00:27:30.180 ⇒ 00:27:30.970 Amber Lin: Yeah.
260 00:27:31.790 ⇒ 00:27:37.270 Henry Zhao: And Safari removes clickbind if hours could possibly be by Friday. I don’t think that’ll be that hard.
261 00:27:37.950 ⇒ 00:27:38.350 Amber Lin: Okay.
262 00:27:38.350 ⇒ 00:27:41.049 Henry Zhao: So yeah, Windows, or at least say half this cycle, half the indexed.
263 00:27:44.100 ⇒ 00:27:48.169 Henry Zhao: I think that’s as simple as implementing something in SGPTM.
264 00:27:50.720 ⇒ 00:27:54.679 Amber Lin: Alright, we’re at 68, that’s a lot better.
265 00:27:56.370 ⇒ 00:27:58.570 Amber Lin: Okay, anything else?
266 00:28:00.820 ⇒ 00:28:02.230 Amber Lin: Oh, this one.
267 00:28:02.710 ⇒ 00:28:06.250 Amber Lin: I’ll put end of this week first, and then we can move it.
268 00:28:09.830 ⇒ 00:28:10.950 Amber Lin: Alrighty.
269 00:28:12.480 ⇒ 00:28:21.759 Amber Lin: I will cancel the grooming session later. Any questions here? Anything that you see that we’re not doing so well on that we need to adjust?
270 00:28:22.190 ⇒ 00:28:25.060 Henry Zhao: No, I would say for me, like, the most impactful…
271 00:28:27.080 ⇒ 00:28:40.849 Henry Zhao: For me, the biggest impact on, like, reducing points is not, like, moving things around or, like, moving things next week, but, like, just getting some support from Awash for them a lot on understanding the models. So, Awash, just real quick, to close the loop.
272 00:28:40.850 ⇒ 00:28:50.430 Henry Zhao: On the queries that I had for attribution, is there anything besides using fact transactions, that you had on my query that I need to send that out to Jen?
273 00:28:53.730 ⇒ 00:29:00.989 Henry Zhao: Like, the logic itself for effect transactions is okay, right? Like, if I just look at the UTMs, those should be the revenue from those UTMs?
274 00:29:08.360 ⇒ 00:29:10.040 Awaish Kumar: Sorry, was that a question for me?
275 00:29:11.060 ⇒ 00:29:19.610 Henry Zhao: Yeah, Awash, yeah, just the queries that I sent you, like, all you mentioned was that for the query that I want to use, which is stack transactions, that I should use stack transactions.
276 00:29:19.610 ⇒ 00:29:22.050 Awaish Kumar: Oh, assuming the Notion document?
277 00:29:22.540 ⇒ 00:29:23.210 Henry Zhao: Yeah.
278 00:29:23.890 ⇒ 00:29:29.550 Awaish Kumar: Yeah, so the thing is that… so, we are only discussing about, like.
279 00:29:29.660 ⇒ 00:29:35.369 Awaish Kumar: the data… the kind of data we are working with is the data coming from past.
280 00:29:35.630 ⇒ 00:29:36.640 Awaish Kumar: And then all the.
281 00:29:36.640 ⇒ 00:29:37.090 Henry Zhao: Okay.
282 00:29:37.090 ⇒ 00:29:47.789 Awaish Kumar: different tables. So if you are saying that if there is a difference between fact transaction and maybe product sales summary, I can look into that, because that’s really our
283 00:29:48.040 ⇒ 00:29:53.940 Awaish Kumar: challenge. But when you say, On a North Beam, the revenue doesn’t look,
284 00:29:54.360 ⇒ 00:30:00.769 Awaish Kumar: As it looks in the fact transactions. That’s something beyond, like,
285 00:30:01.210 ⇒ 00:30:15.870 Awaish Kumar: our scope, like, at least, like, for me, because I’m not working on North Beam attribution, and maybe it’s you or someone working on attribution recently, but previously it was just the Eden team working on North Beam platform.
286 00:30:16.050 ⇒ 00:30:16.909 Awaish Kumar: We are not.
287 00:30:16.910 ⇒ 00:30:17.799 Henry Zhao: I think it’ll be more…
288 00:30:17.800 ⇒ 00:30:18.190 Awaish Kumar: Right.
289 00:30:18.190 ⇒ 00:30:18.950 Henry Zhao: I think I’m…
290 00:30:18.950 ⇒ 00:30:19.560 Awaish Kumar: Similarly for…
291 00:30:19.560 ⇒ 00:30:21.489 Henry Zhao: There’ll be more a question of… yeah.
292 00:30:21.710 ⇒ 00:30:22.180 Awaish Kumar: Yeah.
293 00:30:22.180 ⇒ 00:30:30.399 Henry Zhao: It may sound fine, I think it’s more of a question of Judd would be like, why is the revenue so much lower from fax transactions than GA4? So I just need to be able to explain that.
294 00:30:30.580 ⇒ 00:30:32.780 Henry Zhao: So if you want to let me know what…
295 00:30:33.350 ⇒ 00:30:49.490 Awaish Kumar: For the, like, it’s the same thing, right? For the GF4, if I go in, I can go, basically, in the platform, and the data coming from GF4, and then can verify for you, like, if there is order missing or data missing, but I’m…
296 00:30:50.180 ⇒ 00:30:58.239 Awaish Kumar: like, for example, some orders, which I see in the fact transaction, they might be missing in GFO, but why is that happening, or what is the
297 00:30:58.580 ⇒ 00:31:03.460 Awaish Kumar: What is the, like, implementation, problems behind that?
298 00:31:03.740 ⇒ 00:31:19.909 Awaish Kumar: I’m not… I don’t know, like, I’m not working on GF4, and, like, that’s why we have you, Andrew, and the Doran to help us with the GF4 thing, because I and DoubleRD are not
299 00:31:20.370 ⇒ 00:31:23.099 Awaish Kumar: Familiar with the GFO attribution part.
300 00:31:24.040 ⇒ 00:31:37.530 Henry Zhao: Yeah, so Amber, just to give you, like, some context, basically, whenever Duran finishes his edge layer tracking, I just want to do a quick cleanup of all of our different attribution sources. So that’s Mixpanel, that’s GA4, that’s BigQuery.
301 00:31:37.560 ⇒ 00:31:44.549 Henry Zhao: All the numbers are different. I just want to do a big cleanup of understanding why these numbers are different, and just establish a single source of truth.
302 00:31:44.690 ⇒ 00:31:45.580 Henry Zhao: and say.
303 00:31:45.580 ⇒ 00:31:46.170 Amber Lin: Okay.
304 00:31:46.170 ⇒ 00:31:48.879 Henry Zhao: you know, revenue has to come from somewhere, right? Like.
305 00:31:48.990 ⇒ 00:31:54.589 Henry Zhao: It either came from Facebook, or it came from, affiliates, or it came from…
306 00:31:54.690 ⇒ 00:32:03.050 Henry Zhao: direct, whatever it may be. We want to understand those differences and just have a single source of truth and say, this is what the actual attribution should be.
307 00:32:03.910 ⇒ 00:32:08.000 Amber Lin: I made a ticket for 2 weeks from now.
308 00:32:08.590 ⇒ 00:32:14.330 Henry Zhao: Yeah, and that’ll, I think, decrease a lot of confusion in terms of the data meetings with Eden.
309 00:32:14.840 ⇒ 00:32:16.430 Amber Lin: Okay, awesome.
310 00:32:16.430 ⇒ 00:32:17.110 Henry Zhao: Nice.
311 00:32:17.500 ⇒ 00:32:22.179 Amber Lin: We have a meeting with them in 3 minutes, I’ll see you there then.
312 00:32:22.850 ⇒ 00:32:27.510 Henry Zhao: But for now, I will, just use fact transactions, because that’s what it was for me to do, so…
313 00:32:27.880 ⇒ 00:32:29.509 Henry Zhao: We’ll take it from there.
314 00:32:30.100 ⇒ 00:32:31.740 Henry Zhao: Okay, thanks, Awish, and thank you guys.
315 00:32:31.740 ⇒ 00:32:32.150 Amber Lin: Good.
316 00:32:32.150 ⇒ 00:32:41.459 Awaish Kumar: So whatever we have from BASC and from Trifect transactions is… is much more, what do you say, reliable than any other forms. Yeah, yeah.
317 00:32:42.220 ⇒ 00:32:46.970 Henry Zhao: Yeah. But I also know that masks has issues, so…
318 00:32:47.160 ⇒ 00:32:48.920 Henry Zhao: Yeah, I’ll look into that whenever I can.
319 00:32:49.060 ⇒ 00:32:49.910 Henry Zhao: Basically.
320 00:32:51.580 ⇒ 00:32:52.150 Henry Zhao: Very well.
321 00:32:54.360 ⇒ 00:32:55.120 Amber Lin: Alright.
322 00:32:55.820 ⇒ 00:32:56.730 Amber Lin: Thanks, all!
323 00:32:57.430 ⇒ 00:32:58.569 Henry Zhao: Okay, thank you, guys.
324 00:32:59.720 ⇒ 00:33:00.340 Amber Lin: Right.
325 00:33:00.550 ⇒ 00:33:01.280 Demilade Agboola: Bye.