Meeting Title: Eden Daily Standup Date: 2026-01-19 Meeting participants: Robert Tseng, Awaish Kumar, Casie Aviles, Ashwini Sharma, Zoran Selinger
WEBVTT
1 00:00:26.120 ⇒ 00:00:26.910 Awaish Kumar: Hello.
2 00:00:28.040 ⇒ 00:00:28.830 Robert Tseng: Anyways.
3 00:00:29.430 ⇒ 00:00:30.939 Awaish Kumar: Hi. How are you doing?
4 00:00:32.369 ⇒ 00:00:33.339 Robert Tseng: Good, how are you?
5 00:00:34.450 ⇒ 00:00:35.969 Awaish Kumar: I’m good as well.
6 00:00:46.610 ⇒ 00:00:49.170 Robert Tseng: You’re taking, you’re taking a day off?
7 00:00:51.170 ⇒ 00:00:52.880 Awaish Kumar: Yes, tomorrow.
8 00:00:54.840 ⇒ 00:00:55.420 Robert Tseng: Nice.
9 00:00:56.560 ⇒ 00:00:57.610 Awaish Kumar: Yep.
10 00:01:00.800 ⇒ 00:01:05.060 Awaish Kumar: Actually, I’m going to… To my, like,
11 00:01:05.310 ⇒ 00:01:11.669 Awaish Kumar: would you say, ancestor’s home? And it’s in a village where I don’t have connectivity.
12 00:01:12.100 ⇒ 00:01:12.880 Robert Tseng: Oh, wow.
13 00:01:15.040 ⇒ 00:01:15.860 Awaish Kumar: Yeah.
14 00:01:17.770 ⇒ 00:01:18.840 Robert Tseng: How often do you do apps?
15 00:01:21.540 ⇒ 00:01:25.950 Awaish Kumar: Yeah, like, move ones, or… Twice a year.
16 00:01:26.210 ⇒ 00:01:27.850 Robert Tseng: Once or twice a year. Wow.
17 00:01:27.850 ⇒ 00:01:28.470 Awaish Kumar: Yep.
18 00:01:28.890 ⇒ 00:01:29.550 Robert Tseng: Hmm.
19 00:01:30.530 ⇒ 00:01:32.639 Robert Tseng: Does that mean that, like.
20 00:01:32.900 ⇒ 00:01:36.570 Robert Tseng: I don’t know, does your whole family end up being there? So, when you’re…
21 00:01:37.120 ⇒ 00:01:38.240 Awaish Kumar: Okay.
22 00:01:38.240 ⇒ 00:01:40.350 Robert Tseng: So one day you will end up there, too?
23 00:01:42.370 ⇒ 00:01:48.719 Awaish Kumar: Yeah, I go there too, and it’s not just, like, my family, it’s more like my…
24 00:01:49.460 ⇒ 00:01:53.750 Awaish Kumar: Gran… like, the grand-grandfather’s family, everybody will be there.
25 00:01:54.250 ⇒ 00:01:56.080 Robert Tseng: Yeah, got it.
26 00:01:57.470 ⇒ 00:02:03.110 Robert Tseng: Oh, okay, so it’s… it’s like a live gathering. Okay, I don’t know, in my… in my culture in Taiwan, like.
27 00:02:03.220 ⇒ 00:02:08.500 Robert Tseng: I guess it’s less so the case now, but,
28 00:02:09.100 ⇒ 00:02:19.179 Robert Tseng: like, my dad’s side of the family also has a village. There’s a… I mean, there were 12 tribes in Taiwan, the natives, and
29 00:02:19.650 ⇒ 00:02:24.699 Robert Tseng: A lot of the ancestors are all buried in the same place, so we used to go and visit, like, the dead.
30 00:02:24.700 ⇒ 00:02:26.630 Awaish Kumar: Once a year.
31 00:02:26.780 ⇒ 00:02:27.800 Awaish Kumar: Okay.
32 00:02:28.130 ⇒ 00:02:28.750 Robert Tseng: Yeah.
33 00:02:29.190 ⇒ 00:02:32.689 Robert Tseng: But that’s… that doesn’t sound… that doesn’t sound like what you’re describing.
34 00:02:33.860 ⇒ 00:02:42.049 Awaish Kumar: No, we, we all just also meet, for some kind of, like, act…
35 00:02:42.500 ⇒ 00:02:54.339 Awaish Kumar: activities which are kind of, like, the religious, but… yeah, but we don’t visit the graves, like, because we don’t have. Like, we just… Yeah. …burn… burn the…
36 00:02:54.630 ⇒ 00:02:55.800 Awaish Kumar: Dad.
37 00:02:56.050 ⇒ 00:02:56.790 Robert Tseng: I see
38 00:03:00.430 ⇒ 00:03:06.570 Robert Tseng: Cool, let me… Let’s see…
39 00:03:07.370 ⇒ 00:03:09.250 Robert Tseng: I don’t know why Zoran and…
40 00:03:09.870 ⇒ 00:03:12.949 Robert Tseng: Amber are not here, but let’s… we can get started.
41 00:03:14.090 ⇒ 00:03:22.249 Robert Tseng: I haven’t started my morning in here yet, so we’re just… we’re just gonna do some quick, quick housekeeping things, and then kind of be on our way. So…
42 00:03:22.540 ⇒ 00:03:25.089 Robert Tseng: Yeah, I guess,
43 00:03:28.860 ⇒ 00:03:40.909 Robert Tseng: Yeah, why don’t we talk a bit about the stuff on Ashwini… for Ashwini and Casey first? Did you guys already discuss this in the other… in the other stand-up, or did you guys already go through it?
44 00:03:41.160 ⇒ 00:03:41.930 Robert Tseng: Okay.
45 00:03:42.220 ⇒ 00:03:43.939 Awaish Kumar: No, we didn’t touch… he didn’t.
46 00:03:44.240 ⇒ 00:03:44.830 Robert Tseng: Okay.
47 00:03:45.170 ⇒ 00:03:50.230 Robert Tseng: Great, yeah, so why don’t… why don’t we kind of get a sense of, like, what’s… what’s on your guys’ play this… this week?
48 00:03:52.430 ⇒ 00:04:00.040 Ashwini Sharma: Yeah, so I can update on… on the 1322 and… and as well as the other items that I have on my plate.
49 00:04:02.050 ⇒ 00:04:20.749 Ashwini Sharma: this particular thing, 1322, I think we are looking at two different types of reports, and they are definitely not going to match. The first one, the North Beam one, is a one-day attribution report, whereas the one that we have in Tableau, it kind of, you know, aggregates the entire dataset.
50 00:04:21.390 ⇒ 00:04:21.940 Ashwini Sharma: So.
51 00:04:21.940 ⇒ 00:04:22.300 Robert Tseng: Okay.
52 00:04:22.740 ⇒ 00:04:26.030 Ashwini Sharma: There won’t be a match at all, right?
53 00:04:26.660 ⇒ 00:04:31.820 Ashwini Sharma: And if we want to have a match, then probably we’ll have to change the definition over here in the tableau, right?
54 00:04:32.080 ⇒ 00:04:39.009 Robert Tseng: Yeah, I mean, we’re never gonna use one-day attribution, that’s, like, a nonsense. Like, no one looks at it that way, so…
55 00:04:39.750 ⇒ 00:04:40.680 Robert Tseng: Yeah.
56 00:04:40.950 ⇒ 00:04:47.850 Ashwini Sharma: If we go back into the list of issues that are assigned to me… Sonny?
57 00:04:48.060 ⇒ 00:04:54.870 Ashwini Sharma: There were two issues that were assigned, last week. I started looking at it today, 33 and 34.
58 00:04:55.060 ⇒ 00:04:59.369 Robert Tseng: Wait, hold back, can I just close this out? Let me just, like… I want to understand, so…
59 00:04:59.670 ⇒ 00:05:05.910 Robert Tseng: Okay, I mean, even if this is not the same, like, even if this is not one day,
60 00:05:07.560 ⇒ 00:05:16.579 Robert Tseng: if you expand the attribution window, like, why does that mean that the… there’s more… there’s more that’s unattributed? Wouldn’t it be, like, the opposite?
61 00:05:18.040 ⇒ 00:05:24.700 Robert Tseng: if there’s a longer window, then I would assume fewer…
62 00:05:24.950 ⇒ 00:05:30.939 Robert Tseng: Orders are unattributed, because you have a longer time period to catch them.
63 00:05:38.610 ⇒ 00:05:41.620 Ashwini Sharma: Sorry, can you repeat that again?
64 00:05:41.940 ⇒ 00:05:49.730 Robert Tseng: Yeah, so if the North Beam data is showing, like, one-day attribution, and the one-day attribution is, like, what, 20K a day or something?
65 00:05:49.910 ⇒ 00:05:56.639 Robert Tseng: Okay, let’s, like, let’s just turn it into a week, just estimate, assuming it’s 20K a day over a week, so it should be about 140K.
66 00:05:58.700 ⇒ 00:06:02.099 Robert Tseng: I would expect that to be,
67 00:06:03.040 ⇒ 00:06:20.950 Robert Tseng: greater than what I’m seeing here, still. Even if the Tableau one is not one-day attribution, if it’s… I’m assuming it must be longer, like, no one looks at it in one day, so this number should be lower than one-day attribution, because if you have a longer time period, then…
68 00:06:21.080 ⇒ 00:06:24.580 Robert Tseng: You should… there should be fewer orders that are unattributed.
69 00:06:25.030 ⇒ 00:06:29.300 Ashwini Sharma: It’s the other way around, right? The Tableau one is going to be more.
70 00:06:32.520 ⇒ 00:06:38.460 Robert Tseng: Well, I mean, I… that’s why… I mean, I… I don’t know if I agree with that. That’s why I’m, like, kind of poking at that. Like…
71 00:06:38.930 ⇒ 00:06:43.150 Robert Tseng: If I don’t know if an order is attributed in the past 24 hours.
72 00:06:43.480 ⇒ 00:06:51.419 Robert Tseng: But I have 7 days, like, later on to go and fig… to… to see if I can… to see if we know…
73 00:06:51.770 ⇒ 00:07:09.899 Robert Tseng: If we expand the window to 7 days, because maybe in the 1-day window, you don’t… you can’t find an attribution source, but then if you expand the window to 7 days, then it’s more likely that you will find an attribution source, and so it should… it should move to a source. Like, it should move to a channel. It wouldn’t… it wouldn’t stay unattributed.
74 00:07:13.820 ⇒ 00:07:26.209 Awaish Kumar: Yeah, I can chime in, like, Robert, like, I don’t think our attribution in DVD is working that way, right? So, how we are attributing our orders
75 00:07:27.900 ⇒ 00:07:38.870 Awaish Kumar: to the, marketing source is, basically, we use, like, the UTM source fields, which are coming in from Basque, right? UTM source or UTM medium.
76 00:07:39.470 ⇒ 00:07:51.109 Awaish Kumar: ad campaign, and it’s, like, all of those fields, your team campaign, and these, like, and the ad campaign, ad source, and all these, like, 5-6 fields, which you use to identify
77 00:07:51.300 ⇒ 00:08:02.419 Awaish Kumar: Which channel they came from. And, there are two… like, one answer could be that we are attributing it on one
78 00:08:02.770 ⇒ 00:08:21.729 Awaish Kumar: like, as the data come from Basque, and then this chart is basically weekly… weekly aggregates. I think that’s what Aishpit is saying, that if you… you are summing few days, then it will just be a higher number. But on the other hand, if we have a lot more unattributed,
79 00:08:22.770 ⇒ 00:08:40.589 Awaish Kumar: orders, like, then we can maybe revisit our rejects, which we are using, to, like, attribute the channels. So we might call some new strings which we are not capturing, or something like that.
80 00:08:41.220 ⇒ 00:08:45.200 Robert Tseng: Okay. Yeah, I mean, the whole point of this investigation, Wage, was just that, like.
81 00:08:45.410 ⇒ 00:09:00.350 Robert Tseng: we… I mean, it’s now 30… it’s 30% that’s unattributed. Before, we were at less 30%, so clearly, like, this has drifted, like, we’re… the share of unattributed is increasing. And that’s, like, counterintuitive to, like, the…
82 00:09:00.550 ⇒ 00:09:19.790 Robert Tseng: kind of tagging and tracking accuracy that we’ve gained from, like, the edge layer. So, even if we exclude the cookie consent issue, which is, you know, there is a noticeable jump, but it seems like this 30% unattributed has persisted much longer than even this, kind of consent issue that, that, Zorong was flagging.
83 00:09:20.250 ⇒ 00:09:39.970 Robert Tseng: So… yeah, I mean, if I were to… this is what… this is in the ELT dashboard, like, Josh looks at this every day. So, like, in his mind, he thinks that 30% is unattributed, and, like, I don’t know if that’s… I don’t… I don’t think that’s true, but, like, I also don’t know what to tell him. Like, what… like, what is in this… in this bucket. Yeah.
84 00:09:39.970 ⇒ 00:09:52.070 Awaish Kumar: Yeah, we might have to rework on our Tableau, because we… right now, we are using all the attribution which is coming from Basque. We are… like, the Tableau does not reflect the data coming from Edge layer.
85 00:09:57.120 ⇒ 00:09:57.760 Robert Tseng: Okay.
86 00:09:59.570 ⇒ 00:10:06.099 Robert Tseng: Yeah, I mean, sounds like that’s a… that’s something that we need to do, especially if this is something that they’re relying on. Okay.
87 00:10:07.070 ⇒ 00:10:20.210 Robert Tseng: So, let me just make a quick ticket here. So, we have to… Update… Tableau attribution reports with
88 00:10:20.720 ⇒ 00:10:26.780 Robert Tseng: Edge there.
89 00:10:27.390 ⇒ 00:10:32.150 Robert Tseng: Data.
90 00:10:33.040 ⇒ 00:10:41.969 Robert Tseng: So… Currently… report lies on, like, UTMs.
91 00:10:42.470 ⇒ 00:10:43.730 Robert Tseng: From Basque.
92 00:10:44.780 ⇒ 00:10:47.340 Robert Tseng: We should have… Better.
93 00:10:48.440 ⇒ 00:10:50.710 Robert Tseng: 30% unattributed.
94 00:10:51.630 ⇒ 00:10:56.950 Robert Tseng: a better… Like, is this actually our…
95 00:11:00.250 ⇒ 00:11:03.830 Robert Tseng: Ability… Seems like we should be.
96 00:11:04.230 ⇒ 00:11:09.120 Robert Tseng: To attribute more than… with this.
97 00:11:09.560 ⇒ 00:11:19.730 Robert Tseng: Okay, so… is this a follow-on for Ashwini, or, like, in terms of, like, getting the edge layer data in? Once it’s in the right model, I can swap it out in Tableau, that’s fine, I can do that.
98 00:11:20.780 ⇒ 00:11:27.920 Awaish Kumar: Yeah, it’s for Ashwini, and, like, Ashwini, if you want to sync, we can sync later, after this meeting, or some… some time today.
99 00:11:27.920 ⇒ 00:11:29.360 Ashwini Sharma: Sure, sure, yeah.
100 00:11:29.870 ⇒ 00:11:30.490 Robert Tseng: Okay.
101 00:11:31.510 ⇒ 00:11:35.680 Robert Tseng: Darn, I wish I could hide inactive projects here.
102 00:11:36.240 ⇒ 00:11:45.520 Robert Tseng: Seems kind of… okay, well, I think this’ll… still be… Okay.
103 00:11:49.240 ⇒ 00:11:51.219 Awaish Kumar: Then, like, this…
104 00:11:52.850 ⇒ 00:11:53.910 Robert Tseng: That would be this one.
105 00:11:55.110 ⇒ 00:11:56.580 Robert Tseng: Or we can mark this as stuck.
106 00:11:56.900 ⇒ 00:12:05.030 Robert Tseng: Yeah, I mean, I’m gonna groom it a bit later. I don’t actually think we’re at full capacity here, so I just… I just want to get a… get a sense, of what’s coming in the week, so…
107 00:12:05.140 ⇒ 00:12:10.159 Robert Tseng: Okay, sorry, Ashby. Anything else you wanted to mention from you starting on some of the others?
108 00:12:11.130 ⇒ 00:12:12.809 Robert Tseng: Are these things that you’re working on this week?
109 00:12:12.810 ⇒ 00:12:13.770 Awaish Kumar: I just have a…
110 00:12:13.970 ⇒ 00:12:14.670 Robert Tseng: Huh?
111 00:12:14.670 ⇒ 00:12:21.899 Awaish Kumar: I just have a question on 1335. I… it seems like it’s something to do in CIO, so, like…
112 00:12:22.080 ⇒ 00:12:27.920 Awaish Kumar: Is Henry’s work… Like, we are, like, H3 is taking over that, or, like…
113 00:12:28.610 ⇒ 00:12:30.880 Awaish Kumar: We’ll be taking over the CIO platform itself.
114 00:12:30.880 ⇒ 00:12:39.210 Robert Tseng: Okay. Yeah, I mean, there’s some… there’s some definitely some handoffs that didn’t end up happening. I don’t think Henry ever prepared a handoff doc, so…
115 00:12:39.750 ⇒ 00:12:49.899 Robert Tseng: Yeah, I mean, ideally, this would… this is something that Ash, we need to do? Like, I don’t… I don’t really want to be, like, going into Segment and, like… I mean, it seems like it’s just, like, a…
116 00:12:49.900 ⇒ 00:12:59.849 Robert Tseng: it’s a data modeling, plus, like, we have to go and segment and move, and like… I mean, I don’t know if it’s really segment before, but it does start from updating our model.
117 00:13:04.540 ⇒ 00:13:07.699 Ashwini Sharma: No, wait, first segment by segment, okay.
118 00:13:08.050 ⇒ 00:13:14.699 Robert Tseng: Yeah, so you have to make a change in the model, and then we have to, like, yeah, you could… you could basically point him to… to the right.
119 00:13:15.140 ⇒ 00:13:16.039 Awaish Kumar: Click and segregate.
120 00:13:16.140 ⇒ 00:13:27.240 Awaish Kumar: Yeah, so customer image profile is the dbt model. If you update that initially, and then verify that that change is reflected in the CIO. Credentials are in one pass.
121 00:13:27.470 ⇒ 00:13:30.160 Ashwini Sharma: Okay.
122 00:13:32.620 ⇒ 00:13:37.960 Awaish Kumar: Segment is already, like, kind of connected, right? We don’t need to redo it?
123 00:13:37.960 ⇒ 00:13:40.059 Robert Tseng: I don’t think we need to rerun it or update it, yeah.
124 00:13:40.440 ⇒ 00:13:43.300 Robert Tseng: Probably don’t need to change.
125 00:13:43.300 ⇒ 00:13:44.720 Ashwini Sharma: Was this a change in the model?
126 00:13:45.520 ⇒ 00:13:47.650 Robert Tseng: It seems like it should just be that, yeah.
127 00:13:47.650 ⇒ 00:13:49.420 Ashwini Sharma: Yeah, okay, okay, alright.
128 00:13:49.420 ⇒ 00:13:50.090 Robert Tseng: Okay.
129 00:13:58.410 ⇒ 00:13:59.210 Robert Tseng: Okay.
130 00:14:00.960 ⇒ 00:14:05.799 Robert Tseng: I mean, I don’t think they should be that long, but, okay, we should… this is…
131 00:14:08.220 ⇒ 00:14:09.549 Robert Tseng: We’ll do that.
132 00:14:10.970 ⇒ 00:14:16.189 Robert Tseng: Okay, thank you.
133 00:14:16.470 ⇒ 00:14:20.169 Robert Tseng: Alright, what about these, two. Yeah.
134 00:14:20.170 ⇒ 00:14:29.360 Ashwini Sharma: Yeah, so those two, I started looking at it today, and there are a few questions which need some answers, like, for example.
135 00:14:29.470 ⇒ 00:14:34.920 Ashwini Sharma: Like, over here, I can see a mixture of both SMS call centers, true and false.
136 00:14:35.240 ⇒ 00:14:40.789 Ashwini Sharma: What he refers to in the ticket description is saying that it is all defaulting to a single
137 00:14:41.130 ⇒ 00:14:42.390 Ashwini Sharma: Single value.
138 00:14:42.510 ⇒ 00:14:43.060 Robert Tseng: Yeah.
139 00:14:43.550 ⇒ 00:14:49.989 Ashwini Sharma: So, I’ll need some examples where we saw this kind of thing, like, at least in the raw data, I’m not able to see
140 00:14:50.160 ⇒ 00:14:52.479 Ashwini Sharma: Yeah, I can see a mixture of both, right?
141 00:14:52.480 ⇒ 00:14:56.350 Robert Tseng: Yeah, you just don’t know if this is actually, like, true or false, yeah.
142 00:14:56.350 ⇒ 00:14:57.030 Ashwini Sharma: Right.
143 00:14:59.630 ⇒ 00:15:06.090 Robert Tseng: Yeah, I don’t… I don’t have the… I don’t have the fast answer off the top of my head, so… I don’t even know if we’ll…
144 00:15:06.920 ⇒ 00:15:13.830 Robert Tseng: I mean, how would we even figure this out? I mean…
145 00:15:14.120 ⇒ 00:15:20.970 Robert Tseng: I don’t exactly know where this request came in from, but I feel like we should just give Judd the list of, like.
146 00:15:21.500 ⇒ 00:15:24.840 Robert Tseng: those who have consented to SMS, and then say, like.
147 00:15:25.050 ⇒ 00:15:33.600 Robert Tseng: this is what we have in the data, but if there are people who are falsely consented, then, like, you need to let us know. Like, they need to do the check, we’re not gonna do that check.
148 00:15:35.080 ⇒ 00:15:37.709 Ashwini Sharma: Okay, I’ll, I’ll, I’ll add that.
149 00:15:37.710 ⇒ 00:15:41.370 Robert Tseng: Like, I don’t think Greg is gonna be able to find anything that… I mean, ultimately, like.
150 00:15:41.600 ⇒ 00:15:48.110 Robert Tseng: you know, yeah, this is… this is their… they… they have to… they have to… they have to figure that out. We can only go off of what we have in our data.
151 00:15:48.510 ⇒ 00:15:49.170 Ashwini Sharma: Okay.
152 00:15:50.660 ⇒ 00:15:51.270 Robert Tseng: Okay.
153 00:15:52.010 ⇒ 00:15:56.730 Ashwini Sharma: Right? And the last one is some kind of a workflow which…
154 00:15:57.070 ⇒ 00:16:00.800 Ashwini Sharma: I didn’t really understand what exactly is to be done over here.
155 00:16:00.990 ⇒ 00:16:01.710 Robert Tseng: Okay.
156 00:16:02.880 ⇒ 00:16:08.090 Robert Tseng: Can I assume that, Zoran, you, since you’re messaging him already, you and Ashbrini can…
157 00:16:08.260 ⇒ 00:16:13.850 Robert Tseng: discuss this more, or do you guys need help? Do you guys need a meeting or something that I can book with the client?
158 00:16:14.300 ⇒ 00:16:33.260 Zoran Selinger: I’ll need to figure out what, why Greg created this, this ticket anyway, because, in… in Customer I.O, there are abandoned audiences based on the… based on the question ID and, magic link.
159 00:16:33.520 ⇒ 00:16:39.459 Zoran Selinger: So they are able to… to identify, intake abandoners.
160 00:16:40.360 ⇒ 00:16:53.040 Zoran Selinger: Now, the question is, if this is not enough, if this is about a new request, should we do it since we’re going to switch soon to a completely new intake?
161 00:16:56.440 ⇒ 00:17:02.149 Robert Tseng: Yeah, okay. I personally don’t think this is, like, huge priority, to be honest, based off of the.
162 00:17:02.150 ⇒ 00:17:02.470 Zoran Selinger: Yeah.
163 00:17:02.470 ⇒ 00:17:03.200 Robert Tseng: So…
164 00:17:03.380 ⇒ 00:17:08.909 Robert Tseng: So, yeah, I mean, just get the context from him, but I don’t expect us to actually work on this this week.
165 00:17:09.089 ⇒ 00:17:09.880 Robert Tseng: Yeah.
166 00:17:09.880 ⇒ 00:17:12.110 Zoran Selinger: I think that… I think that’s right.
167 00:17:13.410 ⇒ 00:17:24.999 Robert Tseng: Okay, but this one… yeah, we definitely can do this. Okay, cool. Yeah, and then Casey, I know I had you try to look into this last week. Do we have an update on, kind of, where we’re at here?
168 00:17:25.960 ⇒ 00:17:35.359 Casie Aviles: Yeah, so for this one, I need… I still didn’t get much chance to… this is… there’s not a lot there yet that’s still… I’ve studied with it, just…
169 00:17:35.620 ⇒ 00:17:36.410 Casie Aviles: Yeah.
170 00:17:36.630 ⇒ 00:17:43.040 Casie Aviles: So I’m going to dive into that today. I didn’t get a lot of time yet last week.
171 00:17:43.290 ⇒ 00:17:43.650 Robert Tseng: Okay.
172 00:17:43.650 ⇒ 00:17:46.290 Casie Aviles: So… I’ll focus on that.
173 00:17:47.880 ⇒ 00:17:51.670 Casie Aviles: Well, so for this 1315…
174 00:17:52.290 ⇒ 00:17:57.509 Casie Aviles: That should be in the Eden repository, although I was talking earlier with Zoran.
175 00:17:57.800 ⇒ 00:17:59.689 Casie Aviles: On whether we should also have it.
176 00:18:00.120 ⇒ 00:18:04.209 Casie Aviles: in our organization, in Brainforge, so…
177 00:18:04.660 ⇒ 00:18:07.809 Casie Aviles: I’m not sure, like, what the best…
178 00:18:08.200 ⇒ 00:18:11.869 Casie Aviles: setup would be for the team. I think that…
179 00:18:12.110 ⇒ 00:18:17.099 Casie Aviles: Main reason why I put it in Eden is I wanted to consolidate it with everything Eden-related.
180 00:18:18.740 ⇒ 00:18:27.120 Casie Aviles: But I think another point that was raised was there might be things there that we don’t necessarily want to expose.
181 00:18:28.340 ⇒ 00:18:33.900 Casie Aviles: But yeah, I think, yeah, that’s what I have there.
182 00:18:34.770 ⇒ 00:18:39.050 Casie Aviles: Okay. The files should be… there shouldn’t be files there, no.
183 00:18:42.250 ⇒ 00:18:46.700 Robert Tseng: In, in the, in the Eden, sorry, which files, which one?
184 00:18:47.100 ⇒ 00:18:51.859 Robert Tseng: Like, you took these stocks and you moved them to the Eden, like, Git, or what?
185 00:18:52.270 ⇒ 00:18:54.370 Casie Aviles: Yeah, yeah, in the repository.
186 00:18:54.370 ⇒ 00:18:55.010 Robert Tseng: Sure.
187 00:18:57.900 ⇒ 00:19:01.470 Robert Tseng: Yeah, I mean, I’m assuming this is pretty much done, right? Like, we just,
188 00:19:01.600 ⇒ 00:19:08.120 Robert Tseng: Yeah, I saw this, this was great, like, I’ve been using it now, so whenever I’m running updates, like,
189 00:19:08.470 ⇒ 00:19:09.470 Robert Tseng: I guess…
190 00:19:09.660 ⇒ 00:19:17.770 Robert Tseng: I’m assuming all of our Eden, like, meeting transcripts are going in now, like, ELT decks, Martech, stuff like that, like, we can just start to keep adding to this documentation, right?
191 00:19:18.860 ⇒ 00:19:20.480 Robert Tseng: Okay, great.
192 00:19:20.640 ⇒ 00:19:36.649 Robert Tseng: Okay, Greg’s not on this call, I mean, separately, he’s… Yeah, I know this is… we’re in a bit of a transition, just because, obviously, Henry’s kind of winded off, so there may be some loose ends, people, like, things that we didn’t realize that Henry was doing that he was actually doing.
193 00:19:36.650 ⇒ 00:19:40.670 Robert Tseng: I’ll triage everything. Anything that was, like, a Henry question, you can just, like.
194 00:19:40.830 ⇒ 00:19:45.099 Robert Tseng: If a client messages us, or kind of needs to…
195 00:19:45.570 ⇒ 00:19:48.560 Robert Tseng: But, for whatever reason, just, like, you can redirect it to me.
196 00:19:48.680 ⇒ 00:19:52.060 Robert Tseng: As I try to, like, figure out how to reassign a scope.
197 00:19:52.300 ⇒ 00:19:57.829 Robert Tseng: Amber is supposed to be coming on to this project for now, because I just…
198 00:19:57.870 ⇒ 00:20:15.090 Robert Tseng: need analyst support, I’m just, like, stuck. So, yeah, I think that’s basically what I’m gonna catch her up on. Like, I have a few things I want to hand over to her. Greg’s scope, hopefully, he’s supposed to give me something on Friday, he didn’t, so I’ll have to check in with him to see where he’s at, but…
199 00:20:15.280 ⇒ 00:20:17.130 Robert Tseng: Yeah.
200 00:20:18.190 ⇒ 00:20:22.579 Robert Tseng: What about… what about you, Zoran? Anything urgent? Like, kind of what’s… what’s kind of coming for the week?
201 00:20:24.110 ⇒ 00:20:32.350 Zoran Selinger: Nothing urgent, really, right now. It’s just, like, active patients and, and…
202 00:20:32.540 ⇒ 00:20:50.720 Zoran Selinger: lifecycle stuff, it’s kind of… it’s a long task. I started, doing analysis on the metrics in customer I.O, but I also, married that with the edge layer data before I, kind of
203 00:20:50.790 ⇒ 00:20:56.580 Zoran Selinger: Emphasize a few, few areas for… for, you know, win back and stuff like that.
204 00:20:56.790 ⇒ 00:21:03.690 Zoran Selinger: So I’m… at the moment, I’m doing a lot of data dumping, and labeling.
205 00:21:03.940 ⇒ 00:21:11.059 Zoran Selinger: I’m going to draw some insights and propose some… something to the effect of what you’ve done for insomnia.
206 00:21:11.060 ⇒ 00:21:11.410 Robert Tseng: Okay.
207 00:21:11.690 ⇒ 00:21:28.270 Zoran Selinger: Of course, so that’s… that’s the goal for this week. It was the goal for last week, I just did not get to it at all. We are close… we are getting, very close to defining what an active patient is. I see… I see Judd is looking at it a lot.
208 00:21:28.270 ⇒ 00:21:36.939 Zoran Selinger: based on the transactions. He calls it orders, but I think the treatment is probably the better way.
209 00:21:37.240 ⇒ 00:21:37.630 Robert Tseng: Yes.
210 00:21:37.630 ⇒ 00:21:55.320 Zoran Selinger: look at things. So I’m gonna try to push for switching the definitions to the ones based on treatment. He’s generally okay with what I proposed. We just need to talk to Mitesh, basically. That’s the… that’s gonna be the final step.
211 00:21:55.700 ⇒ 00:21:57.619 Robert Tseng: Okay, great.
212 00:21:59.250 ⇒ 00:22:01.990 Zoran Selinger: Yeah, and a few bits and pieces then, yeah.
213 00:22:02.840 ⇒ 00:22:11.300 Robert Tseng: Okay. Yeah, I mean, I think this board will probably look a little bit different, or quite a bit different tomorrow. I think I’m just gonna update, clear out everything that’s already done.
214 00:22:11.980 ⇒ 00:22:18.200 Robert Tseng: Yeah, and then… one other thing I had in mind…
215 00:22:21.160 ⇒ 00:22:37.670 Robert Tseng: Oh, I lost my train of thought on this one, but okay, I think that’s… that’s pretty much all we have for now. Yeah, I mean, it’s really just we have to get going on some of the… some of our analysis work. Oh yeah, I guess the OASH with the… I mean, the whole surf situation, kind of.
216 00:22:37.980 ⇒ 00:22:46.139 Robert Tseng: I mean, I’m not really following too closely, but I’m kind of assuming that you’re gonna… you’re gonna basically drive that with him, right? Just making sure that.
217 00:22:46.140 ⇒ 00:22:55.530 Awaish Kumar: Yeah, so I actually have the… as of just, like, last week, I have received the credentials, and I’m able to go in their database.
218 00:22:55.530 ⇒ 00:23:06.820 Awaish Kumar: This week, I’m targeting to do a disco, like, kind of audit, and try to match the data we have versus the data we are using from Basque.
219 00:23:07.050 ⇒ 00:23:09.600 Awaish Kumar: And, if there are…
220 00:23:09.830 ⇒ 00:23:19.189 Awaish Kumar: And then share that, like, insights with the remote team, maybe, like, if something is missing, or if you are good, I can start with the ingestion part.
221 00:23:19.860 ⇒ 00:23:22.939 Robert Tseng: Yeah, yeah, let’s get going on that. I would love to be able to share.
222 00:23:22.940 ⇒ 00:23:23.910 Awaish Kumar: I’m about to say…
223 00:23:23.910 ⇒ 00:23:24.490 Robert Tseng: atmosphere, yeah.
224 00:23:24.490 ⇒ 00:23:37.320 Awaish Kumar: But just… yeah, just one thing that we are only looking for report, like, what I’m doing is only… I’m looking at the reporting, the data needed for reporting, right? I’m not looking at any operational kind of things.
225 00:23:37.560 ⇒ 00:23:51.310 Robert Tseng: Yeah, no, let’s just make sure we can replicate everything in BASC first. I think that’s the number one priority. And then in parallel, like, yeah, we need to just do more discovery on, like, what other data that we need to put in there. So I think that’s between probably you and me to figure that out.
226 00:23:52.490 ⇒ 00:24:01.790 Awaish Kumar: Okay, so it’s… yeah, it’s mainly, like, I’m doing what we can do to, like, have a same view in Tableau and stuff like that.
227 00:24:02.570 ⇒ 00:24:14.790 Robert Tseng: Yeah, they… I think they just… they just don’t want to be in a situation where they’re ready to launch Eden OS, they launch it, and then, like, all the reports break, because, like, we didn’t do any… we didn’t do any of the… like, yeah, like, so…
228 00:24:14.790 ⇒ 00:24:25.910 Robert Tseng: That’s at bare minimum, we need to be able to do that, but then I think we also need to go above and beyond and show, well, the whole point of moving off baskets, like, we could do a lot more. So, like, what is… what is… what is the value
229 00:24:25.910 ⇒ 00:24:27.959 Robert Tseng: what we were able to bring in, yeah.
230 00:24:28.870 ⇒ 00:24:34.010 Awaish Kumar: So, when you’re doing your discovery, I’d appreciate you got… develop your perspective on.
231 00:24:34.140 ⇒ 00:24:45.229 Robert Tseng: you know, what… what we should… we basically need to give Surf a roadmap. Like, we need to get him to start tracking other things. Otherwise, he’s just gonna do, like, the bare minimum, you know?
232 00:24:46.670 ⇒ 00:24:47.670 Awaish Kumar: Okay.
233 00:24:48.250 ⇒ 00:24:49.110 Awaish Kumar: Sure.
234 00:24:50.950 ⇒ 00:24:51.580 Robert Tseng: Okay.
235 00:24:53.730 ⇒ 00:25:01.049 Robert Tseng: Cool. Alright, well, yeah, I think that’s all I got for now. Yeah, let me know if anything else in Slack.
236 00:25:02.470 ⇒ 00:25:04.400 Awaish Kumar: Okay. Okay. Thanks, everyone.
237 00:25:04.530 ⇒ 00:25:05.250 Robert Tseng: Bye.