Meeting Title: Eden Daily Standup Date: 2026-02-05 Meeting participants: Robert Tseng, Greg Stoutenburg, Casie Aviles, Demilade Agboola, Amber Lin, Zoran Selinger, Ashwini Sharma


WEBVTT

1 00:01:28.520 00:01:29.670 Greg Stoutenburg: Hello again.

2 00:01:30.780 00:01:31.440 Robert Tseng: Hey.

3 00:01:43.810 00:01:47.620 Robert Tseng: I guess we can just go jump into it.

4 00:01:49.800 00:01:57.910 Greg Stoutenburg: Yeah, so, for Eden, I’m just looking at my Eden tickets. By the way, is…

5 00:01:58.390 00:02:04.100 Greg Stoutenburg: For showing dependencies in linear, I can see how to create a new parent issue.

6 00:02:04.210 00:02:04.790 Greg Stoutenburg: I don’t see…

7 00:02:04.790 00:02:09.229 Robert Tseng: We don’t use… we don’t use, sub-issues. We just do related issues.

8 00:02:09.539 00:02:12.939 Greg Stoutenburg: Okay. Yeah. Can I search? Can I…

9 00:02:13.369 00:02:18.519 Greg Stoutenburg: If I have two issues that exist already, can I make them related, or do I have to just create

10 00:02:18.699 00:02:21.439 Greg Stoutenburg: Can I only create an issue as a related issue.

11 00:02:21.760 00:02:29.510 Robert Tseng: You can, yeah, you can relate them.

12 00:02:29.790 00:02:32.760 Greg Stoutenburg: Convert into. Convert into. From the menu. Okay.

13 00:02:32.760 00:02:33.420 Robert Tseng: Yeah.

14 00:02:33.420 00:02:34.650 Greg Stoutenburg: Alright, everything’s gonna be fine.

15 00:02:35.480 00:02:36.460 Robert Tseng: Okay.

16 00:02:37.270 00:02:43.240 Robert Tseng: Actually, this is a new computer, so I need to, like, actually exit and come back in order to share screen. One sec.

17 00:02:43.240 00:02:43.610 Greg Stoutenburg: Okay.

18 00:02:43.610 00:02:44.220 Robert Tseng: You’re back.

19 00:02:45.270 00:02:46.030 Greg Stoutenburg: My name’s name.

20 00:03:07.500 00:03:11.729 Robert Tseng: Wow, I came back within, like, a few seconds. This is incredible.

21 00:03:12.040 00:03:15.640 Robert Tseng: I can now have Zoom and Slack open at the same time.

22 00:03:15.640 00:03:19.650 Greg Stoutenburg: At the same time. I don’t know how you were doing all that work without having that.

23 00:03:19.650 00:03:27.770 Robert Tseng: I wasn’t. I mean, when I was… for meetings, it was fine, but, like, then I would go back to my home computer in order to actually work on stuff.

24 00:03:27.960 00:03:28.960 Greg Stoutenburg: So…

25 00:03:29.000 00:03:37.240 Robert Tseng: But yeah, this… the camera zoom setting is weird, just, like, really zooms in on my face. I have to fix this later.

26 00:03:37.860 00:03:40.180 Robert Tseng: Okay.

27 00:03:40.480 00:03:41.930 Robert Tseng: Anyway…

28 00:03:46.410 00:03:54.629 Robert Tseng: Kidding me? I just… didn’t I just do the system setting thing? Okay, well, I… let’s see…

29 00:03:54.820 00:03:56.849 Robert Tseng: Does this work? Can people see this?

30 00:03:56.850 00:03:57.630 Greg Stoutenburg: Yep.

31 00:03:57.630 00:04:01.220 Robert Tseng: Alright, well…

32 00:04:03.570 00:04:22.169 Robert Tseng: Yeah, yesterday was kind of a hectic day, so I didn’t actually action these things. I mean, they’re all due for me today, so I will have an eaten chunk after this to knock through what I wanted to do. Main things I wanted to follow up on, the Brad request, De Milade.

33 00:04:22.310 00:04:26.369 Robert Tseng: And then… Yeah, I guess…

34 00:04:26.610 00:04:29.800 Robert Tseng: Awash had some follow-ups from our call with

35 00:04:30.160 00:04:36.200 Robert Tseng: surf yesterday, so, I mean, he’s not on this call, so we’ll skip that. And then,

36 00:04:37.070 00:04:38.549 Robert Tseng: Yeah, then we’ll talk about…

37 00:04:38.860 00:04:48.290 Robert Tseng: Yeah, I mean, those are… those are top of mind. We can go through the rest afterwards. So, if… since we skipped… yeah, Dave Milati, can we just… can we… can we go to yours first?

38 00:04:51.550 00:04:55.390 Demilade Agboola: Sure, I sent it in the Clients Eden Slack channel.

39 00:04:55.600 00:05:08.420 Demilade Agboola: So I’ve turned it in. Effectively, the numbers are quite similar as a… from a holistic perspective, but by pharmacy, there are disparities,

40 00:05:08.860 00:05:11.900 Demilade Agboola: So, it’s there, you just hovered over here.

41 00:05:13.700 00:05:14.040 Robert Tseng: Okay.

42 00:05:14.040 00:05:22.020 Demilade Agboola: the numbers from our BigQuery. We don’t have as many pharmacies as… as… the Basque.

43 00:05:22.240 00:05:23.730 Demilade Agboola: UI is given.

44 00:05:24.090 00:05:26.389 Demilade Agboola: And there are some…

45 00:05:27.060 00:05:41.210 Demilade Agboola: numbers that don’t exactly align. Part of why I suspect is part of how we’re defining certain products are different, but if you look at the overlying numbers, like, if you look at how he puts the numbers, let me send that to you now.

46 00:05:42.260 00:05:49.690 Robert Tseng: Okay, yeah, because this is… I can’t… I’m not really seeing the difference here, but… I mean, the format looks like his… his spreadsheet, so fine. Yeah.

47 00:05:49.690 00:05:55.399 Demilade Agboola: Yeah, yeah, I try to make it as similar to his as possible, so that you can… I just sent it in the chat, so you can hop in if you want.

48 00:05:56.230 00:05:58.639 Robert Tseng: But do you want me to put them side by side? Okay.

49 00:05:58.640 00:06:07.110 Demilade Agboola: Yeah, I mean, you could just get, like, a holistic view, so you can kind of see that we don’t have as many pharmacies, and you can see that the overall numbers are very similar.

50 00:06:07.560 00:06:09.280 Demilade Agboola: Month by month.

51 00:06:11.260 00:06:18.699 Demilade Agboola: So, it’s kind of like the distribution of the numbers that we need to look… like, if we were so particular about it, we would…

52 00:06:19.090 00:06:21.290 Demilade Agboola: Need to look into the distribution of the numbers.

53 00:06:23.820 00:06:28.849 Robert Tseng: Okay, I’m sorry, this browser is too fancy, I can’t really figure out how to use this.

54 00:06:29.910 00:06:30.740 Demilade Agboola: Oh…

55 00:06:30.740 00:06:32.900 Robert Tseng: Yeah, I just… I don’t really know.

56 00:06:33.060 00:06:34.340 Robert Tseng: Just not for me.

57 00:06:43.460 00:06:45.360 Robert Tseng: I wish it was in the same tab.

58 00:06:45.540 00:06:47.420 Robert Tseng: Or, like, in the same sheet.

59 00:06:47.600 00:06:51.200 Robert Tseng: That’s not really looking over.

60 00:06:51.680 00:06:54.830 Demilade Agboola: I can copy… I can copy it over to the… to the new sheet.

61 00:07:01.220 00:07:15.790 Robert Tseng: Okay, well, anyway, like, I… it’s not easy for me to see the differences, so yeah, I can hear that you’re pointing out some differences, I just can’t see anything. So, I mean, we can move on from it for now. Like, I guess, like, what is… so, even if I saw the differences, like, what’s the… what’s the next step?

62 00:07:17.180 00:07:27.059 Demilade Agboola: So the next step is… it depends on how, like, close to what Brad wants this is. If Brad feels like, hey, directionally, this is close enough.

63 00:07:27.250 00:07:31.880 Demilade Agboola: Even though there are certain pharmacies that are not here, maybe we can overlook those pharmacies.

64 00:07:32.020 00:07:38.629 Demilade Agboola: If it feels like direction we were, you know, heading, right? Like, this gives us some context for forecasting, sure.

65 00:07:38.900 00:07:44.729 Demilade Agboola: If he’s like, no, we, like, he still wants it to be better, split.

66 00:07:45.020 00:07:48.629 Demilade Agboola: So you can get those numbers, then yeah, we’ll have to do a bit more.

67 00:07:48.740 00:07:51.669 Demilade Agboola: Engineering to get closer to those numbers.

68 00:07:51.670 00:08:03.460 Robert Tseng: Well, it looked roughly, that you had pharmacy, product, like, month. Like, that’s all he needs, right? So, like, if we’re missing pharmacies, then we should tell him what pharmacies we’re missing. If we’re missing products, we should call that out.

69 00:08:03.500 00:08:12.009 Robert Tseng: And then, like, his question’s gonna be, like, why is it missing? If it’s something that’s in Baskin, it’s not in our data, like, what’s… what’s the discrepancy? So, like, yeah, I don’t know, I don’t…

70 00:08:12.010 00:08:12.960 Demilade Agboola: Yeah.

71 00:08:13.730 00:08:23.200 Demilade Agboola: Yeah, so if… so I… two things. One is the link I sent in Slack, I’ve already updated it with Brad’s numbers, so you can… if you want to compare, it’s much easier to do that.

72 00:08:23.450 00:08:25.900 Demilade Agboola: Also…

73 00:08:28.530 00:08:40.539 Robert Tseng: Yeah, I’m probably not gonna look at it right now, so maybe it will stay on, maybe we’ll come back to this. Yeah, I just… I just needed to check to see progress, where we’re at, what blockers there are, and then we have to move on. So…

74 00:08:40.780 00:08:45.630 Robert Tseng: Yeah, maybe I’ll, like, I’ll have you stay on towards the end, but we’ll move on from this.

75 00:08:46.270 00:08:47.109 Demilade Agboola: Alright, sounds good.

76 00:08:47.110 00:08:47.700 Robert Tseng: Okay.

77 00:08:47.990 00:08:50.900 Robert Tseng: Yeah, alright, next is…

78 00:08:52.910 00:08:58.510 Robert Tseng: I mean, I still don’t think Awash is on this call, so we’ll skip Awash. Yeah, I guess…

79 00:08:58.880 00:09:01.360 Robert Tseng: Greg, you were saying some things earlier?

80 00:09:02.230 00:09:18.599 Greg Stoutenburg: Yeah, so the focus this week has been sort of on two things. One is some work with Zoran and Ryan on, you know, what’s showing up in Catalyst and some attribution work. And, so I think there, the next thing is just…

81 00:09:18.760 00:09:38.300 Greg Stoutenburg: So, Aaron, you can weigh in here, you know, if you have it, is making sure that what is… Ryan wanted to know what should be showing up in Catalyst. Regardless of what is showing up in Catalyst, he wanted an update about all the orders in the last day and then month that should be appearing in Catalyst. So that’s one.

82 00:09:38.520 00:09:41.899 Greg Stoutenburg: That was under my name, though, so I thought I would ask… tag you.

83 00:09:41.900 00:09:43.449 Zoran Selinger: Sorry, sorry, which…

84 00:09:43.750 00:10:02.450 Zoran Selinger: So I’ve done reconciliation, I just sent them an update. Okay, cool. So we have around 630 in Catalyst, and another 150 that should have been in Catalyst. Okay. So, yeah, Awash updated the model.

85 00:10:02.840 00:10:16.359 Zoran Selinger: And I was able to pull, based on the latest updates of the model, I was able to pull it from our tables, and around 150 we missed with this tracking issue that we had.

86 00:10:16.700 00:10:29.460 Zoran Selinger: Okay. So, Robert, I just want to emphasize, so there was not a problem with the model itself, okay? They implemented exactly what we asked them to implement, okay?

87 00:10:29.740 00:10:30.060 Robert Tseng: Yeah.

88 00:10:32.250 00:10:37.939 Zoran Selinger: So… That’s… that there was a, like, a tracking issue,

89 00:10:38.290 00:10:49.580 Zoran Selinger: initially caused by… by BASC, and then we were using, kind of wrong criteria that caught a lot of people instead of very few people.

90 00:10:50.230 00:10:55.969 Zoran Selinger: Because we didn’t understand that they cookie everyone, not just people that interact with

91 00:10:56.930 00:11:00.480 Zoran Selinger: With Catalyst. So their cookie actually works…

92 00:11:00.660 00:11:15.389 Zoran Selinger: I don’t remember seeing this exactly with platforms like that, that they actually cookie everyone, and we’re using the existence of the Catalyst cookie as a sign that this person interacted with Catalyst, which is not the case.

93 00:11:15.790 00:11:20.810 Zoran Selinger: This is why we were kind of sending a lot of… a lot of server pings as well.

94 00:11:21.340 00:11:27.190 Zoran Selinger: So we, we had to fix, fix the model as well.

95 00:11:27.300 00:11:32.399 Zoran Selinger: And now that’s in place, we know the number. I expected.

96 00:11:32.570 00:11:38.070 Zoran Selinger: You know, anywhere between 50 and 100 that we missed, but it looks like we missed 150.

97 00:11:38.300 00:11:41.240 Zoran Selinger: With that decrease in conversion rates, yeah.

98 00:11:41.980 00:11:45.690 Zoran Selinger: So in total, we had around 800.

99 00:11:45.990 00:11:49.300 Zoran Selinger: For… for Catalyst in January.

100 00:11:49.510 00:11:59.609 Zoran Selinger: And now, I was looking at the conversion rates, so the total conversion rate is about 2% yesterday.

101 00:11:59.750 00:12:03.680 Zoran Selinger: But… There is one

102 00:12:03.850 00:12:16.119 Zoran Selinger: and a high-volume partner, that we get… we get many clicks, but absolutely no conversions. It’s… that conversion rate is… is 0.05.

103 00:12:16.600 00:12:28.520 Zoran Selinger: When I looked at Forbes, for example, individual, conversion rate in the last 2 days, since we had this, like, fully client-side implementation, they are at 6-7%.

104 00:12:29.010 00:12:35.439 Zoran Selinger: So we got… Also Moonshot, which is kind of the second largest that we’re also looking at.

105 00:12:35.780 00:12:39.510 Zoran Selinger: They’re at 5, 6, 7% as well, so we are good.

106 00:12:39.750 00:12:44.960 Zoran Selinger: The catalyst fix is… is… is working at the moment.

107 00:12:45.950 00:12:46.710 Zoran Selinger: Okay, so…

108 00:12:46.710 00:12:50.260 Robert Tseng: I told… what I told ELT, because, I mean, I just…

109 00:12:50.370 00:13:09.270 Robert Tseng: And I don’t feel like this messaging should come from me, because obviously you guys are the ones… I mean, so there’s two things. One is, like, I don’t think we need that many people on the Catalyst thing. I think Zoron… Zoron and Ryan is fine. Like, I don’t think Reg needs to be talking to Catal… like, be on the Catalyst project. Like, it’s just not… there’s just… there’s just more noise that, like, we just don’t… don’t really need.

110 00:13:09.390 00:13:19.930 Robert Tseng: And then, like, second is… I mean, but when ELT is confused, they call me directly, and I have to give an answer. So, we already… I feel like we already covered this two days ago.

111 00:13:19.930 00:13:20.320 Zoran Selinger: Yes.

112 00:13:20.320 00:13:34.200 Robert Tseng: fully client-sized solution. We needed more time to update our server… server-to-server, models. It’s just logic changed because we weren’t reg… we weren’t… we weren’t, some of the rules had changed that we didn’t catch.

113 00:13:34.250 00:13:44.439 Robert Tseng: And that has not been pushed. Like, we’re still… we basically reverted back to a client-side-only tracking. That’s… that’s what I told them. And we needed more time…

114 00:13:44.840 00:13:59.460 Robert Tseng: to kind of rework the model, and then kind of get our server… our basically segment-facilitated server-to-server, like, solution back… back up, which is not happening this week. That’s… right?

115 00:13:59.460 00:14:00.460 Zoran Selinger: No, no, no.

116 00:14:00.620 00:14:11.140 Zoran Selinger: No. So this change in modeling that Aaveh did for me today was necessary for reconciliation, for the monthly reconciliation. I couldn’t do it without it.

117 00:14:11.390 00:14:15.819 Zoran Selinger: So… but we want to work

118 00:14:16.020 00:14:24.760 Zoran Selinger: work closely with Ryan in actually creating… at least confirming the model that we currently have in place.

119 00:14:25.000 00:14:30.170 Zoran Selinger: When you say the word revert, To the fully client-side.

120 00:14:30.450 00:14:32.669 Zoran Selinger: I just wanna make sure that

121 00:14:32.960 00:14:35.900 Zoran Selinger: Everyone understands that this is not

122 00:14:36.110 00:14:45.119 Zoran Selinger: Exactly the same setup as before, because we do have additional capabilities in the client that allows us to do it accurately.

123 00:14:45.230 00:14:49.230 Zoran Selinger: Now, from the client side directly, okay? Then.

124 00:14:49.540 00:15:01.999 Zoran Selinger: Robert, what I told you, I expect conversion rates to go back up to normal levels, and our server side to serve as a backup, and just a slight increase on

125 00:15:02.090 00:15:13.609 Zoran Selinger: On the conversion rates that’s on the client side, because we do have better identity and sessions teaching than what client side is capable of.

126 00:15:13.920 00:15:18.150 Zoran Selinger: And that’s… that’s it for now. Okay.

127 00:15:18.150 00:15:26.050 Robert Tseng: come out in the slides that you’re making for, I guess, end of week for Mitesh, also, like, Monday of next week for the ELT.

128 00:15:26.180 00:15:30.010 Robert Tseng: Will you be able to communicate that in the slides?

129 00:15:30.010 00:15:46.460 Zoran Selinger: Yes. Okay. Yes. I… I wrote a few messages about that as well. I mean, I understand exactly, kind of, what the effect I want to get from each part of this system, right? And I can, yeah, I can talk about that in the slide.

130 00:15:46.460 00:15:49.779 Robert Tseng: Okay, great. Yeah, I mean, I, I’m…

131 00:15:50.180 00:15:55.910 Robert Tseng: I… I mean, I trust you. I just… I just need to be able to reference something.

132 00:15:56.080 00:15:58.710 Robert Tseng: When I, when I get the message, so…

133 00:15:59.000 00:15:59.670 Zoran Selinger: Sure.

134 00:16:00.110 00:16:03.950 Robert Tseng: Okay, cool.

135 00:16:04.940 00:16:05.570 Robert Tseng: Go ahead.

136 00:16:05.830 00:16:25.160 Greg Stoutenburg: Yeah, back to mine then, just a quick overview. And yeah, and what you said, too, about the catalyst work and, you know, who gets what. That was something Zora and I were wanting to raise as well, because, we’re both being asked by multiple stakeholders to do, like, the same thing. We’re like, alright, we need, like, a sort of clearer division of who’s doing what here. So we’ll just… we’ll just start replying that way.

137 00:16:25.160 00:16:28.790 Greg Stoutenburg: Yeah. You know, Ryan, when you have attribution questions, send them to Zora.

138 00:16:28.860 00:16:34.170 Robert Tseng: Yeah. Cool. Okay, so for me, priority, experiment, impact.

139 00:16:34.170 00:16:52.350 Greg Stoutenburg: they want to do experimentation, roadmapping better. Met with Ryan and Danny yesterday, to look at what they’ve got now. I’ve got a draft that’s… that I need to review and, see what I want to put in front of them for things that they can do to just make their experimentation more effective and have a roadmap that actually hits goals.

140 00:16:52.350 00:16:56.399 Greg Stoutenburg: They’re on board, I’m gonna give them something tomorrow or Monday.

141 00:16:56.400 00:17:04.999 Greg Stoutenburg: Next is Mixpanel. I’ll be talking with Ryan tomorrow about everything that he wants to see in Mixpanel. The call with the consultant went well.

142 00:17:05.000 00:17:23.010 Greg Stoutenburg: they did a sort of, sort of a breakdown of recommendations that they have, mostly around identity resolution and how… and which events are being tracked. So they want a more thorough data taxonomy, and so, we’ll be doing that, but the call with Ryan tomorrow is just to get really clear on what they want.

143 00:17:23.030 00:17:26.519 Greg Stoutenburg: at Eden to… to have showing up in Mixpanel.

144 00:17:28.630 00:17:47.169 Greg Stoutenburg: That’s where those are, and then, collaborating with Judd and Zoran, but we’ll, you know, we’ll tease that out, to make it so that the customer I.O. tags that they have for their campaigns are coherent, because they’ve been inconsistent on naming and things, and it’s getting in the way of reporting. So that’s something that’s in progress as well.

145 00:17:48.290 00:17:49.010 Robert Tseng: Okay.

146 00:17:51.020 00:17:59.240 Robert Tseng: I mean, he’s just breaking out page… page views into unique… okay, whatever. I… I have… I’m very opinionated about this, but it’s fine, whatever.

147 00:17:59.240 00:18:06.759 Greg Stoutenburg: Yeah, no, it’s okay. Ryan and I chatted about it later. He’s like, what do you think? I’m like, well, you know, yeah, we need to… we’ll track more events.

148 00:18:06.760 00:18:13.590 Robert Tseng: Yeah, I mean, in the telemetry, we are going to be doing, like, yeah, with the intake and, like, you know, certain…

149 00:18:14.370 00:18:15.779 Robert Tseng: like…

150 00:18:17.170 00:18:25.090 Robert Tseng: tracking each step of the funnel, like, yes, that’s… that’s a… that’s a given. Like, that’s not, like, that’s nothing new, but it’s just not…

151 00:18:25.090 00:18:25.510 Greg Stoutenburg: Yeah.

152 00:18:25.510 00:18:26.970 Robert Tseng: Possible to do it right now.

153 00:18:27.090 00:18:42.639 Robert Tseng: It will in the next… but yeah, anyway, it’s fine. We can just take his ideas. I mean, I don’t agree that we need to have a unique page view for every, like, page. I mean, you just use the same event name. Yeah. But, like, anyway, like, this…

154 00:18:42.640 00:18:47.230 Robert Tseng: I guess this is still, I guess, helpful for,

155 00:18:47.890 00:18:57.859 Robert Tseng: Eden OS telemetry is not ready to… to work… be worked on yet. Yeah. I need Awasht on this call to, like, give the timeline. He hasn’t… he hasn’t given one.

156 00:18:58.110 00:19:05.040 Robert Tseng: So, anyway, like, okay, that’s… that’s fine. I understand, kind of, generally how, how that went.

157 00:19:05.610 00:19:08.029 Greg Stoutenburg: Yeah. Okay. So, there you go. Those are my updates.

158 00:19:08.230 00:19:08.830 Robert Tseng: Okay.

159 00:19:10.310 00:19:13.660 Robert Tseng: Okay, well…

160 00:19:13.840 00:19:24.589 Robert Tseng: I think that’s all we have time for. I would prefer Dimodi could stay on. I want to get the Brad thing out to him, so we can revisit this, like, I just want to make sure that…

161 00:19:25.020 00:19:27.780 Robert Tseng: Like, this, this gets, this, this is ready.

162 00:19:28.220 00:19:31.640 Robert Tseng: Other than that, I don’t think there’s anything else that’s urgent to talk about.

163 00:19:34.040 00:19:34.680 Zoran Selinger: Alright?

164 00:19:36.160 00:19:37.169 Robert Tseng: Okay, thanks, everyone.

165 00:19:37.170 00:19:38.149 Zoran Selinger: Talk soon. Bye-bye.

166 00:19:38.150 00:19:39.170 Greg Stoutenburg: Y’all, thanks.