Meeting Title: Eden Team Weekly Planning Date: 2025-06-23 Meeting participants: Annie Yu, Cutter, Josh, Robert Tseng, Awaish Kumar, Demilade Agboola
WEBVTT
1 00:05:17.830 ⇒ 00:05:18.530 Josh: Oh!
2 00:05:20.500 ⇒ 00:05:21.170 Robert Tseng: Hey!
3 00:05:22.330 ⇒ 00:05:23.180 Josh: Going on.
4 00:05:26.020 ⇒ 00:05:27.890 Robert Tseng: Good. How’s your how’s your weekend?
5 00:05:28.370 ⇒ 00:05:29.909 Josh: Oh, that’s good! That’s good!
6 00:05:30.970 ⇒ 00:05:35.049 Robert Tseng: The heat wave going on here, so I’ve been pretty much indoors the past 3 days.
7 00:05:36.420 ⇒ 00:05:41.120 Josh: And heat wave messing around the pool the whole time.
8 00:05:41.700 ⇒ 00:05:42.340 Robert Tseng: Hmm.
9 00:05:43.840 ⇒ 00:05:44.989 Josh: That was nice.
10 00:05:45.600 ⇒ 00:05:46.360 Robert Tseng: Nice.
11 00:05:50.930 ⇒ 00:05:53.329 Josh: Who are you waiting on anybody?
12 00:05:53.730 ⇒ 00:05:57.920 Robert Tseng: Yeah, yeah, waiting on my team until tripping in.
13 00:06:03.690 ⇒ 00:06:07.980 Robert Tseng: But if you have anything you wanna bring up first, st we can talk about that while we’re waiting.
14 00:06:09.903 ⇒ 00:06:16.770 Josh: Just getting getting your thoughts on how to start getting some real basics for the Hc. Data.
15 00:06:18.500 ⇒ 00:06:19.250 Robert Tseng: Okay.
16 00:06:19.490 ⇒ 00:06:27.429 Josh: And just continuing to clean up the marketing data here.
17 00:06:27.640 ⇒ 00:06:36.940 Josh: I know we talked about not using that other firm, and, you know, leveraging you and that kind of stuff. So just thinking through what that ends up, looking like.
18 00:06:37.460 ⇒ 00:06:47.050 Robert Tseng: Yeah, I mean the segment stuff that I wanted to get done last week. We didn’t get done last week. So that’s my top priority probably today, tomorrow to get that all sorted out.
19 00:06:47.850 ⇒ 00:06:53.709 Robert Tseng: And then, yeah, as far as like other marketing requests that are outstanding
20 00:06:54.251 ⇒ 00:07:02.130 Robert Tseng: Natasha’s team has, like a few things that they’ve that they are using. I’ve told them, shut off a couple of things because it seems redundant. And then
21 00:07:02.510 ⇒ 00:07:07.930 Robert Tseng: I guess the point is like, I don’t think we’re gonna bring in everything that they’re asking for, just because
22 00:07:08.310 ⇒ 00:07:11.199 Robert Tseng: some of it is just not. Yeah. Just
23 00:07:12.405 ⇒ 00:07:17.129 Robert Tseng: for example, like there’s a something called like cj.com. It’s like an affiliate
24 00:07:19.280 ⇒ 00:07:26.669 Robert Tseng: affiliate tracker, I guess. I don’t know. I’ve looked at the data for the past month, and there’s like very little traffic like
25 00:07:27.090 ⇒ 00:07:30.700 Robert Tseng: I don’t know under under 50, like attributions.
26 00:07:31.030 ⇒ 00:07:36.280 Robert Tseng: total or something. I don’t know. For something like that, I think, building out.
27 00:07:36.720 ⇒ 00:07:54.140 Robert Tseng: getting access to the Api and and setting up the pipeline just seems overkill until, like it’s a bit more mature. So if they can just update it weekly with Google sheets like until there’s substantial traffic. I don’t really. That’s kind of what I’m defaulting. That’s why I’m like pushing back on there, for there.
28 00:07:54.890 ⇒ 00:07:58.879 cutter: We haven’t launched it yet. We’ve been waiting for them to finalize
29 00:07:59.490 ⇒ 00:08:04.260 cutter: all of the paperwork. So all the all that was just initial tracking stuff.
30 00:08:04.260 ⇒ 00:08:15.259 Robert Tseng: So that’s just like testing. Okay, yeah, I think I saw something like 7 to 14 like in the past, like hits the past like month, which is okay. But in that case, and that that clears that up. So
31 00:08:16.550 ⇒ 00:08:17.810 Robert Tseng: yeah, I think.
32 00:08:19.850 ⇒ 00:08:23.600 Robert Tseng: Anyway, I think our stuff on the roadmap last week. Kind of got
33 00:08:24.038 ⇒ 00:08:44.030 Robert Tseng: it from the cleanup work we had to do. So. I mean, I think today’s we on Mondays, we usually do like a planning session just to kind of reorient us on, not just like reacting to things, but like, what are the things that we were trying to accomplish in this cycle. So that’s what I’ll probably be talking to the team about.
34 00:08:47.250 ⇒ 00:08:47.900 Josh: Yep.
35 00:08:50.730 ⇒ 00:08:56.710 Robert Tseng: Alright. Well, in that case, I’m gonna share my screen. And then we can kinda go into it.
36 00:08:59.490 ⇒ 00:09:00.670 Robert Tseng: So
37 00:09:05.420 ⇒ 00:09:08.400 Robert Tseng: okay, so yeah, I think for.
38 00:09:08.730 ⇒ 00:09:27.369 Robert Tseng: and a wish now that you’re on 2 things everything. Client review. I think I have Tiger on helping follow up now, so we’ll just. I don’t have to worry about that unless there’s anything urgent that otherwise, like you can just like like that. That’s something that Tiger and I, between the 2 of us will triage
39 00:09:28.029 ⇒ 00:09:37.919 Robert Tseng: there’s a few things that are kind of like. I don’t think you guys have updated in progress like, I see some of these recurring tasks like the asking Csv updates.
40 00:09:38.274 ⇒ 00:10:00.200 Robert Tseng: just calling that out. If you can just move that around like, I mean, obviously, action it and and move it out of in progress. That’d be helpful, because we do have a bunch of stuff that’s supposed to be accomplished in the cycle that we need to bring in. So I’d rather spend this time talking about a few of the things that I’ve already mentioned in our channel, and then we can kind of talk through any of the remaining questions there. So
41 00:10:00.675 ⇒ 00:10:19.589 Robert Tseng: yeah, a couple of like urgent things already kind of called it out. Ryan just wants to verify some of the intake data. I think this is pretty straightforward. So we’re just gonna go and confirm that the products that he’s seeing here match what we what we’re having? It’s just another validation step. So I think that’s on you.
42 00:10:20.085 ⇒ 00:10:33.810 Robert Tseng: And then for Annie already shared with you the query already kind of took Kyle’s request. Mostly there. He asked for a few more things that I wasn’t ready to add into the query. So if you could just take that to the finish line that’d be helpful.
43 00:10:34.020 ⇒ 00:10:40.770 Annie Yu: The other one sorry, quick question about skew level. Does that mean variant? Id.
44 00:10:40.770 ⇒ 00:10:42.310 Robert Tseng: Yeah, let’s use variant.
45 00:10:42.310 ⇒ 00:10:42.775 Annie Yu: Okay.
46 00:10:43.240 ⇒ 00:10:43.860 Robert Tseng: Yeah.
47 00:10:44.551 ⇒ 00:10:55.350 Robert Tseng: and then, yeah, I think away, she kind of this is the circle data. We want to get back on track with that to this week. So I think our in the ticket I already linked.
48 00:10:56.079 ⇒ 00:11:07.270 Robert Tseng: I think. Raja already kind of shared some details there. So he didn’t give you us like a line by line, or like column by column schema of what he’s looking for.
49 00:11:07.723 ⇒ 00:11:13.869 Robert Tseng: But hopefully, there’s this, I mean. It seems basic enough that just whatever we can get out of the
50 00:11:14.230 ⇒ 00:11:22.540 Robert Tseng: Api to answer like a couple of the initial questions, oh.
51 00:11:23.130 ⇒ 00:11:26.480 Robert Tseng: that’s not it? Is it? Circle?
52 00:11:27.670 ⇒ 00:11:34.430 Robert Tseng: Hold on circle done?
53 00:11:36.680 ⇒ 00:11:38.620 Robert Tseng: Yeah. So
54 00:11:40.640 ⇒ 00:12:08.030 Robert Tseng: I think the most important stuff that I’m seeing here is really just like the the timestamps of like users that join a lot. We just want to be able to create a cohort around these people so that we can go in and look at their their order order data and then cross reference like on Ltv, so most important thing is just really getting like membership details like when they join when they last log in whatever. So and then being able to link their id back to a customer in our models.
55 00:12:08.940 ⇒ 00:12:10.429 Awaish Kumar: And does that mean.
56 00:12:11.040 ⇒ 00:12:13.010 Annie Yu: Oh, sorry! Go ahead, Josh.
57 00:12:14.680 ⇒ 00:12:15.890 Josh: No, I wasn’t me.
58 00:12:16.260 ⇒ 00:12:18.980 Annie Yu: Oh, is it? Are you? Is it a wish?
59 00:12:20.295 ⇒ 00:12:20.790 Awaish Kumar: Yes.
60 00:12:20.970 ⇒ 00:12:24.269 Annie Yu: Okay, yeah. I was just saying that I have shortlisted few.
61 00:12:24.650 ⇒ 00:12:31.869 Awaish Kumar: Endpoints which can give us, like the activities of the circle users.
62 00:12:31.870 ⇒ 00:12:32.470 Robert Tseng: Yeah.
63 00:12:32.470 ⇒ 00:12:37.270 Awaish Kumar: But, like the one main one is is getting all the community members, which is
64 00:12:37.480 ⇒ 00:12:44.609 Awaish Kumar: kind of can solve. 90% of what Adam is saying, like getting the
65 00:12:45.060 ⇒ 00:12:51.429 Awaish Kumar: community member last login, and how many times it logged in, or things like that.
66 00:12:52.911 ⇒ 00:12:54.720 Awaish Kumar: I was just trying to
67 00:12:54.920 ⇒ 00:12:59.649 Awaish Kumar: hit the endpoints, but the the token provided didn’t work.
68 00:12:59.760 ⇒ 00:13:02.040 Awaish Kumar: So I will just update the ticket and we’ll
69 00:13:02.170 ⇒ 00:13:05.499 Awaish Kumar: reply to the thread, and maybe I ask directly to
70 00:13:05.790 ⇒ 00:13:07.919 Awaish Kumar: to the team like about the token.
71 00:13:08.420 ⇒ 00:13:15.579 Robert Tseng: Yeah, can you just tag Adam? And specifically like I’ve asked him for the token he gave me one. I guess.
72 00:13:15.580 ⇒ 00:13:23.280 Awaish Kumar: Yeah, I use the same one to hit the Api request. But actually it, it is like, it is saying me that
73 00:13:23.870 ⇒ 00:13:27.109 Awaish Kumar: it is not working like it is not able to authenticate.
74 00:13:27.510 ⇒ 00:13:29.550 Awaish Kumar: Okay, I will talk to Madam about it.
75 00:13:29.780 ⇒ 00:13:31.040 Robert Tseng: Okay. Great. Thanks.
76 00:13:33.810 ⇒ 00:13:34.270 Robert Tseng: Okay.
77 00:13:34.270 ⇒ 00:13:43.910 Annie Yu: Sure. Yeah, does that mean we want a separate dashboard, or as long as those fields are in.
78 00:13:47.320 ⇒ 00:13:51.810 Robert Tseng: Just give them a query for now. Yeah, I don’t think they really know what they want to look at. Dashboard wise.
79 00:13:51.810 ⇒ 00:13:58.159 Robert Tseng: Okay, that’s fair. Yeah, we just show them like the list of of community members. And then.
80 00:13:58.390 ⇒ 00:14:10.180 Robert Tseng: you know, obviously, if it matches like what’s in the platform, then we can just use that as a cohort on on, on, when we’re looking at order, date and sales data, and then we can think about dashboard. After that.
81 00:14:10.680 ⇒ 00:14:16.530 Annie Yu: Okay, and the community members mean circle members.
82 00:14:16.530 ⇒ 00:14:17.950 Robert Tseng: Yeah. Circle, members, yep.
83 00:14:17.950 ⇒ 00:14:18.520 Annie Yu: Okay.
84 00:14:20.670 ⇒ 00:14:32.139 cutter: Robert, I gotta jump. I got another meeting in like 6 min. But follow up on. There’s 2 things email. We got feedback for email. So if you guys can just read through it, any questions
85 00:14:32.440 ⇒ 00:14:33.020 cutter: hit up.
86 00:14:33.020 ⇒ 00:14:38.180 cutter: Okay, unless you’re on the other one that we talked about last week was
87 00:14:38.360 ⇒ 00:14:42.549 cutter: trying to get incremental data overlaid.
88 00:14:44.140 ⇒ 00:14:48.420 cutter: I think somebody from the data team should talk to these people because.
89 00:14:49.210 ⇒ 00:14:49.880 Robert Tseng: Okay.
90 00:14:49.880 ⇒ 00:14:50.920 cutter: They have.
91 00:14:51.300 ⇒ 00:14:55.420 cutter: They have so much data, and it can be directly sent to tableau.
92 00:14:57.320 ⇒ 00:15:06.000 cutter: But what the the goal of that dashboard is to compare like channel
93 00:15:06.610 ⇒ 00:15:17.860 cutter: Google, and then be able to break it down by drug or campaign. And then an incremental column will say, you know, lift.
94 00:15:18.180 ⇒ 00:15:22.870 cutter: And then it’ll say, Google, Cpa tabulated Roas.
95 00:15:23.260 ⇒ 00:15:27.280 cutter: Because what’s happening now is we have north beam for spend.
96 00:15:27.400 ⇒ 00:15:34.930 cutter: We have incremental for total lift. And then we have tableau for row. As so, it’s like 3 different places to check.
97 00:15:35.740 ⇒ 00:15:38.280 cutter: Know how to integrate them.
98 00:15:38.400 ⇒ 00:15:44.740 cutter: There’s somebody smarter than me is gonna have to figure out how to display all data and make it useful.
99 00:15:45.260 ⇒ 00:15:48.220 cutter: Because right now, we check incremental for channel
100 00:15:48.760 ⇒ 00:15:53.070 cutter: impact on Cpas. So incremental will tell us, like
101 00:15:53.380 ⇒ 00:16:00.050 cutter: Google Ads campaign has brought down Cpa by 23%.
102 00:16:00.410 ⇒ 00:16:06.440 cutter: So then I can, I look at incremental to see where I spend money by channel.
103 00:16:06.610 ⇒ 00:16:08.939 Robert Tseng: Yeah. But then I look at.
104 00:16:09.520 ⇒ 00:16:15.780 cutter: Tableau for total row. As so, I don’t know if mental just needs its own tableau dashboard.
105 00:16:16.700 ⇒ 00:16:17.319 cutter: Maybe that’s.
106 00:16:17.320 ⇒ 00:16:18.000 Robert Tseng: Yeah, good.
107 00:16:18.170 ⇒ 00:16:34.039 Robert Tseng: Could you help us by? Yeah. Just like, if you could record like a screen like a screen recording of you like kind of just talking through when you’re checking those 3 platforms like what you’re looking at each one. Then we can kind of come back to you with like, I think this is how we can consolidate it
108 00:16:34.250 ⇒ 00:16:42.650 Robert Tseng: definitely on the ad spend side, like we already have that data. So we should, we could surface it in tableau. And we just, I guess, we just we just have it. So.
109 00:16:43.033 ⇒ 00:16:46.149 Robert Tseng: yeah, like, I think that would be that would be helpful.
110 00:16:46.890 ⇒ 00:16:49.699 cutter: Cool man. Alright, thank you. I’ll get you that this week.
111 00:16:49.700 ⇒ 00:16:50.990 Robert Tseng: Okay, thanks.
112 00:16:53.120 ⇒ 00:16:53.840 Robert Tseng: Yeah.
113 00:16:55.600 ⇒ 00:17:10.909 Robert Tseng: Okay, so and then, yeah, I think the other thing he mentioned was the whole body. Thing where customer? I also wish that’s me and you we were talking. We’re waiting on them for a couple of weeks on that. So we’ll all kind of circle back on that one.
114 00:17:13.319 ⇒ 00:17:28.569 Robert Tseng: okay, so those are the things that are kind of most pressing as of today. I mean, there’s a couple of other kind of questions here. I won’t talk about it unless you guys need need to. But I want to spend some time on like in cycle what we’re we’re focusing on. So
115 00:17:28.943 ⇒ 00:17:39.650 Robert Tseng: I actually think that this in progress list is not what it is like. I, I’m assuming that once you guys actually update the tickets, half of this will probably be gone. So I think we can move a bunch of things into cycle.
116 00:17:41.360 ⇒ 00:17:44.870 Robert Tseng: Patient demographic data I’m taking out. I don’t really need that at this point
117 00:17:45.170 ⇒ 00:17:48.800 Robert Tseng: this amortization thing I think a lot of. I know it’s been
118 00:17:48.940 ⇒ 00:18:10.830 Robert Tseng: like a week since we really kind of talked to Danny and I guess Jonah. On this I was like, kind of catch up reading through the context. We don’t have stripe data into query right now, which is fine, I think you know, if the I think the point of the spike was to determine, I mean already kind of like, did a swag on like what this should look like. Generally.
119 00:18:11.297 ⇒ 00:18:19.959 Robert Tseng: But yeah, I would just want you to confirm that like, this is kind of what you think the steps are, and then we can split it out into a project if we need to.
120 00:18:22.608 ⇒ 00:18:31.659 Demilade Agboola: I mean, obviously, we’re trying to add the stripe subscription data and see if that helps us. Because the alternative that I was thinking of was
121 00:18:32.412 ⇒ 00:18:34.820 Demilade Agboola: Based off the order.
122 00:18:35.710 ⇒ 00:18:47.669 Demilade Agboola: the membership plan of the Order. We will divide the first.st We’ll divide the order total by that plan. So a 6 month. Membership plan means the order total will be divided by 6
123 00:18:47.780 ⇒ 00:18:52.929 Demilade Agboola: or a you know, one year. Membership plan means it’s going to be divided by 12.
124 00:18:53.250 ⇒ 00:18:53.640 Robert Tseng: Oh, yeah.
125 00:18:53.640 ⇒ 00:19:00.059 Demilade Agboola: Stripe gives us that data like straight up without having to go through that. And it’s cleaner, definitely will be more helpful.
126 00:19:00.500 ⇒ 00:19:00.820 Robert Tseng: Yeah.
127 00:19:00.820 ⇒ 00:19:06.509 Demilade Agboola: And cause. There are some people that don’t necessarily have a membership plan like directly. So.
128 00:19:06.770 ⇒ 00:19:07.100 Robert Tseng: Yeah.
129 00:19:07.100 ⇒ 00:19:15.799 Demilade Agboola: That will probably like able there as well. But yeah. So if we can get that, has that, then it’s cleaner. That’s definitely better.
130 00:19:16.180 ⇒ 00:19:21.121 Robert Tseng: Okay, yeah, I mean, selfishly, I would like to go and get the stripe data. Now,
131 00:19:21.600 ⇒ 00:19:24.699 Robert Tseng: after what happened with the accounting stuff last week.
132 00:19:25.110 ⇒ 00:19:30.570 Robert Tseng: Yeah, we’ve we’ve just we’ve done so many like proxy calculations.
133 00:19:31.314 ⇒ 00:19:36.069 Robert Tseng: Off of vast data that like I don’t, I mean.
134 00:19:36.480 ⇒ 00:19:46.180 Robert Tseng: eventually, we’re gonna need the stripe. So if this is like enough of a push that we can go and get that data, then we should. We should. I feel like we should at least go and explore it.
135 00:19:47.510 ⇒ 00:19:59.029 Robert Tseng: yeah, I guess I wouldn’t say this is like super urgent. But like, I do want to get ahead of this, you know, if we’re going to be slammed by this like every month like I, I do want to make sure that we’re
136 00:19:59.570 ⇒ 00:20:03.679 Robert Tseng: we’re not gonna run into what happened last week. Again. So
137 00:20:04.240 ⇒ 00:20:07.959 Robert Tseng: I guess, like, yeah, I will. I’ll follow up. Try to get
138 00:20:08.740 ⇒ 00:20:12.760 Robert Tseng: Yeah, for whatever reason we just haven’t been able to get the stripe credits, but
139 00:20:13.020 ⇒ 00:20:25.249 Robert Tseng: we’ll try to get that, and then we can go and try to see what this rep actually give us in terms of. And does that help us get there? Or if not, then we can. We can go with the other approach that you’ve suggested.
140 00:20:29.660 ⇒ 00:20:33.789 Robert Tseng: Okay, other things. So
141 00:20:34.300 ⇒ 00:20:39.539 Robert Tseng: yeah, the deduplication, I mean, this was kind of mentioned last week. I don’t know. Did we actually do this?
142 00:20:40.750 ⇒ 00:20:43.040 Robert Tseng: You remember Dave Marty?
143 00:20:44.747 ⇒ 00:20:47.729 Demilade Agboola: No, I don’t believe we did.
144 00:20:48.580 ⇒ 00:20:53.718 Robert Tseng: Okay, I do think that this would probably be high priority. We should bring into cycle.
145 00:20:56.200 ⇒ 00:21:02.659 Robert Tseng: I. I believe this is a Rebecca kind of called that out.
146 00:21:17.580 ⇒ 00:21:23.169 Robert Tseng: no, this is separate right? The deduping refunds that Annie did in like 2 weeks ago. This is separate.
147 00:21:24.040 ⇒ 00:21:24.790 Robert Tseng: Yeah.
148 00:21:24.790 ⇒ 00:21:26.540 Demilade Agboola: That’s a separate question.
149 00:21:26.950 ⇒ 00:21:30.429 Robert Tseng: Okay, yeah, I’ll have to go and figure out.
150 00:21:30.430 ⇒ 00:21:36.369 Demilade Agboola: Yeah, yeah, cause the context of cogs that I’m aware of is the Us like work working
151 00:21:36.930 ⇒ 00:21:49.689 Demilade Agboola: like having calls that work retroactively. So like for certain time periods. This is the active cogs. This was the active calls over at least of a time period, which is what what you tag me into today.
152 00:21:51.970 ⇒ 00:21:56.300 Robert Tseng: Okay, well, that oh, is that? Is that related to this? I thought.
153 00:21:56.300 ⇒ 00:22:02.669 Demilade Agboola: And then that’s the I said. That’s the the cogs task that I am aware of. I’m not sure what this task is.
154 00:22:03.270 ⇒ 00:22:07.530 Robert Tseng: Okay, I’ll go. I’ll go figure this out. I’m gonna escalate this myself.
155 00:22:09.930 ⇒ 00:22:12.090 Robert Tseng: Okay? And then
156 00:22:13.970 ⇒ 00:22:19.510 Robert Tseng: this is still related to circle so circle stuff. Yeah, I expect this to be done this week.
157 00:22:19.950 ⇒ 00:22:22.910 Robert Tseng: Customer. I/O,
158 00:22:23.070 ⇒ 00:22:28.709 Robert Tseng: yeah, I think this is related to what we were talking about. But so this will have to be
159 00:22:28.920 ⇒ 00:22:34.229 Robert Tseng: worked on this week, the Circle stuff and bring it in
160 00:22:36.390 ⇒ 00:22:40.949 Robert Tseng: cohort definitions. I don’t think we’ll actually get to this today or this week
161 00:22:42.245 ⇒ 00:22:49.930 Robert Tseng: function circle. Okay, this is just deciding if we were going to use web hook or cloud function oasis call here. So I’m just gonna there.
162 00:22:51.810 ⇒ 00:22:56.759 Robert Tseng: Oh, great. Okay. So this is kind of related to the amortization spike.
163 00:22:56.970 ⇒ 00:22:57.820 Robert Tseng: So
164 00:23:02.930 ⇒ 00:23:07.590 Robert Tseng: yeah, weekly recurring. Send desk sync.
165 00:23:08.030 ⇒ 00:23:10.599 Robert Tseng: I don’t even know if we still do this to be honest. So
166 00:23:14.490 ⇒ 00:23:21.160 Robert Tseng: okay, I feel like those are all the urgent things I don’t want to overwhelm us by pulling everything into now. So
167 00:23:21.681 ⇒ 00:23:27.019 Robert Tseng: yeah, if we could take some time today, once you guys kind of action
168 00:23:27.690 ⇒ 00:23:34.709 Robert Tseng: tickets here, I think also, some of these can be closed out. So if we just move it, and we can kind of keep trickling more in
169 00:23:35.299 ⇒ 00:23:42.940 Robert Tseng: on my end. What I’m focused on is really getting the segment kind of go ahead
170 00:23:44.362 ⇒ 00:23:48.459 Robert Tseng: figure it out because the contract ends end of this month.
171 00:23:49.120 ⇒ 00:23:56.689 Robert Tseng: or rather it ends end of July. But we need to make a decision by end of this month. So that’s my biggest priority this week.
172 00:23:57.647 ⇒ 00:23:59.590 Robert Tseng: So I think
173 00:24:00.500 ⇒ 00:24:08.179 Robert Tseng: I probably won’t tap, only I think, only a wish. Maybe I would end up kind of talking to you about this
174 00:24:10.340 ⇒ 00:24:17.030 Robert Tseng: because I don’t think Andy has spent any time mixed panel yet. And then, Dave, a lot is not really doing like the
175 00:24:17.700 ⇒ 00:24:28.839 Robert Tseng: doing the event data. But this is just like around our identity, resolution strategy. And like any adjustments we want to make to segment or like moving off of segment. So
176 00:24:30.660 ⇒ 00:24:41.600 Robert Tseng: anyway, you guys will hear from me a bit on that. I I probably shared resources here and there, but we just it wasn’t enough for us to make a decision a month ago. So I’m just trying to to bring us back to that point.
177 00:24:44.150 ⇒ 00:24:45.600 Robert Tseng: So yeah, that
178 00:24:45.760 ⇒ 00:24:54.140 Robert Tseng: that’d be the most. That’s that’s where my time will be going on, on, Eden. So and then, obviously, if you guys have any questions, I can help escalate there.
179 00:24:56.280 ⇒ 00:25:00.964 Robert Tseng: But yeah, overall expecting a quieter week than last week.
180 00:25:01.990 ⇒ 00:25:08.446 Robert Tseng: yeah, I think we didn’t really have like a clear retro last week. But
181 00:25:09.380 ⇒ 00:25:16.400 Robert Tseng: yeah, I know it was. It was a rough week last week, so thanks for having hanging in there, and we we got through it. We did 4
182 00:25:16.590 ⇒ 00:25:17.205 Robert Tseng: big.
183 00:25:18.130 ⇒ 00:25:25.750 Robert Tseng: We we handle 4 big escalations very quickly. So I definitely do not want to commit to doing that
184 00:25:26.140 ⇒ 00:25:39.380 Robert Tseng: hopefully ever again. But yeah, I think hopefully, this is kind of like a reset for us, and we’ll we’ll try to get some, get some of the things we wanted to to do and disciple done by the end of this week.
185 00:25:40.168 ⇒ 00:25:42.359 Robert Tseng: Any questions or kind of
186 00:25:42.460 ⇒ 00:25:44.359 Robert Tseng: things you guys wanted to talk about.
187 00:25:54.434 ⇒ 00:26:02.710 Annie Yu: For on my end I do have one more question for aish so last week I
188 00:26:03.210 ⇒ 00:26:12.940 Annie Yu: mentioned the revenue discrepancy between channel sales summary and product sales summary. And is that something you got a chance to look at.
189 00:26:13.240 ⇒ 00:26:14.080 Awaish Kumar: Yup.
190 00:26:14.930 ⇒ 00:26:18.989 Awaish Kumar: So like, after I worked on to match the revenue.
191 00:26:19.170 ⇒ 00:26:21.699 Awaish Kumar: we found some duplication raw data
192 00:26:23.151 ⇒ 00:26:27.550 Awaish Kumar: which I fixed for our new March cables.
193 00:26:27.680 ⇒ 00:26:31.999 Awaish Kumar: So that’s why channel sales somebody is. It’s showing the exact revenue
194 00:26:32.340 ⇒ 00:26:37.600 Awaish Kumar: and product sales. Somebody has like around difference of 3 K revenue
195 00:26:38.792 ⇒ 00:26:45.540 Awaish Kumar: in a in a period like I don’t know how many days, if German. But yeah.
196 00:26:45.760 ⇒ 00:26:49.709 Awaish Kumar: so the reason is that product here somebody is still using
197 00:26:50.681 ⇒ 00:26:52.839 Awaish Kumar: some of our old tables.
198 00:26:54.410 ⇒ 00:26:58.539 Awaish Kumar: Where we also need to make these changes. But
199 00:26:58.760 ⇒ 00:27:01.810 Awaish Kumar: I and Demilade were also thinking to
200 00:27:02.829 ⇒ 00:27:07.630 Awaish Kumar: like, move these products in summary on our new March table as well.
201 00:27:07.890 ⇒ 00:27:09.750 Awaish Kumar: So we don’t have these.
202 00:27:10.350 ⇒ 00:27:15.820 Awaish Kumar: It’s like managing the 2 different like base models.
203 00:27:19.140 ⇒ 00:27:21.109 Annie Yu: Got it, and at so at the.
204 00:27:21.110 ⇒ 00:27:24.079 Awaish Kumar: Then I can. I can work on quick fix for now.
205 00:27:24.190 ⇒ 00:27:30.080 Awaish Kumar: but I think it’s a question for Robert like we wanted to have some
206 00:27:30.530 ⇒ 00:27:34.409 Awaish Kumar: ticket to work on like moving products in summary off of
207 00:27:34.960 ⇒ 00:27:38.170 Awaish Kumar: existing tables to the new mass tables.
208 00:27:38.600 ⇒ 00:27:39.110 Robert Tseng: Okay.
209 00:27:39.110 ⇒ 00:27:46.609 Awaish Kumar: And clean it like it has become very long model. We need to like make it more modular.
210 00:27:47.780 ⇒ 00:27:49.330 Awaish Kumar: for to maintain it.
211 00:27:50.930 ⇒ 00:27:55.979 Robert Tseng: Yeah, I mean, I think that’s that’s important. We should. We should make time for that this week.
212 00:27:56.600 ⇒ 00:28:10.911 Robert Tseng: I know that like we had some takeaways of how we were gonna update our Qa process and the checklist, you know, with the staging and the tableau. Some. I don’t know what other kind of like pipeline changes. You guys have installed Meta plane.
213 00:28:12.150 ⇒ 00:28:14.690 Robert Tseng: yeah, like, I want, I guess
214 00:28:15.660 ⇒ 00:28:28.319 Robert Tseng: with this change to refactoring the models, will we be able to run like that new process like, I, I just want to know, like, are we like, what? What are we doing? Differently? In in in
215 00:28:29.072 ⇒ 00:28:35.948 Robert Tseng: you know, in in response to like what happened the past the past couple of weeks. So
216 00:28:38.440 ⇒ 00:28:44.450 Awaish Kumar: Like, like we have set up the meta plane like and
217 00:28:45.240 ⇒ 00:28:48.620 Awaish Kumar: like, like, we will be actively maybe adding the
218 00:28:49.146 ⇒ 00:29:00.380 Awaish Kumar: like, identify the critical data sets and actively add the tests which are needed and like then.
219 00:29:01.753 ⇒ 00:29:06.019 Awaish Kumar: integrated with slack. So any critical, there’s any
220 00:29:07.200 ⇒ 00:29:11.940 Awaish Kumar: problem with the critical data sets, then we quickly identify them.
221 00:29:12.130 ⇒ 00:29:13.999 Awaish Kumar: And we can make it like this.
222 00:29:14.340 ⇒ 00:29:21.330 Awaish Kumar: like, we can like select some critical data like we cannot say how the marks stable because they are.
223 00:29:21.590 ⇒ 00:29:25.280 Awaish Kumar: There are a lot of tables, and then we end up doing only the Qa.
224 00:29:25.820 ⇒ 00:29:33.290 Awaish Kumar: But the like. The product sales summary or order summary, like 2 tables which are really critical for all the team members.
225 00:29:34.120 ⇒ 00:29:34.820 Robert Tseng: Okay.
226 00:29:34.940 ⇒ 00:29:44.950 Robert Tseng: Alright. In that case, I wish if you could create your own tickets, or at least at least kind of like, yeah, you create them, and you can assign it to the project. Tech debt. Then, yeah, I think
227 00:29:45.120 ⇒ 00:29:55.350 Robert Tseng: it would. I think it would be better if you if you wrote it. And I can, I can review it. Yeah, I don’t know how many of those that you can. I’m just gonna you can break it as how many tickets you want.
228 00:29:56.170 ⇒ 00:30:01.510 Awaish Kumar: So right now, I’m just talking about one model product sales summary and to refactor it.
229 00:30:02.650 ⇒ 00:30:03.390 Robert Tseng: Okay.
230 00:30:03.390 ⇒ 00:30:05.610 Awaish Kumar: I can create the ticket, but I’m just mentioned.
231 00:30:08.570 ⇒ 00:30:14.660 Robert Tseng: Okay. In that case I can do it fine. So refactor product sales summary.
232 00:30:15.280 ⇒ 00:30:21.290 Robert Tseng: And I’ll add it to Nicole. I’m gonna assign it to a wish.
233 00:30:22.360 ⇒ 00:30:24.460 Robert Tseng: And we’re gonna do.
234 00:30:25.630 ⇒ 00:30:29.980 Robert Tseng: Yeah, okay,
235 00:30:33.120 ⇒ 00:30:41.222 Robert Tseng: got it. So I just created that ticket. And then, yeah, anything else that. You guys feel like I missed so far.
236 00:30:41.980 ⇒ 00:30:47.030 Robert Tseng: in the in the tickets, any other maintenance things, or whatever we need to kind of. Also consider.
237 00:30:48.445 ⇒ 00:31:13.360 Annie Yu: I’m gonna follow up again on the same thing. I asked so the reason I asked, because with the Channel sales summary, I wanted to add that free to pay revenue ratio for Mattesh. And now, since the revenue is not the same as product sales summary, which is what we use for other metrics that Mattesh looks at? Does it make sense to still add that using
238 00:31:13.610 ⇒ 00:31:15.169 Annie Yu: channel sales summary?
239 00:31:21.650 ⇒ 00:31:27.410 Annie Yu: I don’t think the difference now is a lot. I I can
240 00:31:28.457 ⇒ 00:31:31.559 Annie Yu: get the exact like percentage difference
241 00:31:31.950 ⇒ 00:31:34.230 Annie Yu: to you if that that would help makes.
242 00:31:34.950 ⇒ 00:31:46.430 Robert Tseng: No, I mean, I think if it’s like, if pushing, if refactoring the model is, gonna give us the the right icon is gonna help them match. Then we should just wait for that. But I think this is.
243 00:31:48.720 ⇒ 00:31:49.820 Awaish Kumar: I, yeah.
244 00:31:50.630 ⇒ 00:32:00.490 Awaish Kumar: refecting is going to take some time, but I will just push a quick fix on product sales summary site as well now, so I will do it like just
245 00:32:01.360 ⇒ 00:32:02.889 Awaish Kumar: after these meetings.
246 00:32:05.727 ⇒ 00:32:13.079 Awaish Kumar: like revenue is going to match for now, like it, the things will work as as they’re working with this
247 00:32:13.390 ⇒ 00:32:20.520 Awaish Kumar: refactoring will will maybe take some time because we are going to split this one big model into multiple models.
248 00:32:23.140 ⇒ 00:32:30.340 Robert Tseng: Okay, Annie, so does that help you like always gonna make a change that he thinks will get the models to line up so you could at least push push your change now.
249 00:32:30.725 ⇒ 00:32:39.849 Robert Tseng: I mean, I guess you’ll end up having to update your report with the new models once the refactor, but I mean at least you’ll be able to get your field now.
250 00:32:40.680 ⇒ 00:32:42.510 Annie Yu: Yeah, sure, that sounds good.
251 00:32:42.650 ⇒ 00:32:43.430 Annie Yu: Thanks.
252 00:32:44.160 ⇒ 00:32:51.570 Robert Tseng: Cool. Alright? Yeah. Anything else? Just kind of slack and channel. And yeah, thanks. Everyone. Talk to you soon.