Meeting Title: Eden Daily Standup Date: 2026-02-10 Meeting participants: Greg Stoutenburg, Awaish Kumar, Robert Tseng, Casie Aviles, Demilade Agboola, Amber Lin


WEBVTT

1 00:01:04.769 00:01:05.799 Robert Tseng: Hey, Roy.

2 00:01:06.910 00:01:07.620 Greg Stoutenburg: Right.

3 00:01:09.660 00:01:14.859 Robert Tseng: Okay, let’s jump into it. A lot of moving parts this week. So…

4 00:01:14.980 00:01:18.250 Robert Tseng: Zoran is in a meeting,

5 00:01:18.790 00:01:21.320 Robert Tseng: So, I understand where he’s at.

6 00:01:21.600 00:01:24.699 Robert Tseng: I guess, Greg, I’m curious about…

7 00:01:24.960 00:01:35.090 Robert Tseng: kind of the next steps on experimentation, and also I saw the new BI migration channel, so I want to kind of get a timeline on that, too.

8 00:01:35.090 00:01:45.200 Greg Stoutenburg: Yeah, let’s start there. So, I’ll be talking with Ryan later today to go over some recommendations that I’m making for how they’re doing experimentation, and managing it in Monday.com.

9 00:01:45.200 00:02:09.879 Greg Stoutenburg: Great. Basically, I mean, so I’ve got this, like, Claude and a bunch of their internal resources helped, but I’ve got this, like, long document that I’m gonna condense into, like, a two-pager. Basically, their, their experimentation process is pretty… the main thing is, it’s a matter of consistency. They’ve mentioned a lot of the right principles for experimentation, but then they’re just sort of, like, not following them in any, procedural way, so… Yeah.

10 00:02:09.880 00:02:29.380 Greg Stoutenburg: recommend more consistency, that when we do their roadmapping sessions every other week, we actually comb through the backlog and go, alright, let’s fill in the RICE score for this, let’s actually put a date on this, we need to tie a metric to this, and then at the end of the time that we run this, we need to look back and see, you know, what the effect was.

11 00:02:29.380 00:02:43.450 Greg Stoutenburg: Yeah. That sort of thing is gonna go a long way, and then the main other… the two other main recommendations are, I’m gonna say, dedicate, like, 20% of experimentation time to bigger bets. They do a lot of, like, let’s change the color of this button.

12 00:02:43.450 00:02:43.820 Robert Tseng: Yes.

13 00:02:43.820 00:02:53.570 Greg Stoutenburg: like, let’s put a little bit of arc here. And I do understand that there’s some rationale for why that kind of thing can be valuable, because even if it’s a 2% lift, but it sees 20,000 people a week.

14 00:02:53.570 00:03:08.910 Greg Stoutenburg: that adds up, but we should also be taking those bets where we’re looking at, like, you know, a 15% increase of something that might reach a smaller population. So I’m going to make that recommendation, and then I’m going to say that when we’re doing our grooming of experiment tickets.

15 00:03:08.910 00:03:19.010 Greg Stoutenburg: include, like, a reach score. Include that estimated number of users that would actually see the change. So there’s a… I need to boil that down and walk Ryan through that this afternoon. That’s the.

16 00:03:19.010 00:03:34.110 Robert Tseng: I think that’s exactly what he needs. Yeah, just, like, some discipline around, like, how to actually execute on… there’s been a lot of talk over the past 6 months, and not much movement on how they’re actually implementing the experimentation practices.

17 00:03:34.340 00:03:35.050 Greg Stoutenburg: Yep.

18 00:03:35.050 00:03:35.620 Robert Tseng: Cool.

19 00:03:35.620 00:03:36.270 Greg Stoutenburg: Yep.

20 00:03:36.450 00:03:37.360 Greg Stoutenburg: So…

21 00:03:37.360 00:03:41.229 Robert Tseng: Wait, you’re in Monday, and you’re, like, looking through their tickets, too, at this point? Okay.

22 00:03:41.230 00:03:57.229 Greg Stoutenburg: Yep, yep, I’ve got access to their board, I see everywhere they’re, you know, I’m an… I’m an admin in there, so I’m gonna say… and then as far as next steps, I’ll say, like, Ryan, do you want to just take this and implement it, or I’m happy to go in and, like, actually edit your intake form,

23 00:03:57.230 00:04:03.389 Greg Stoutenburg: Change the statuses, include some additional fields for things like audience size, and so on.

24 00:04:03.680 00:04:04.270 Robert Tseng: Yeah.

25 00:04:04.270 00:04:05.950 Greg Stoutenburg: And we’ll figure that out this afternoon.

26 00:04:05.950 00:04:07.120 Robert Tseng: Okay, great.

27 00:04:08.530 00:04:18.620 Greg Stoutenburg: The other is the, migration to Omni. You, Tom, just walked me through that yesterday in the afternoon. I’ve got a bunch of next steps, I’ll follow up with them.

28 00:04:18.620 00:04:30.099 Greg Stoutenburg: But the goal will be to have some initial calls, look at some docs and how this kind of thing is run, and then, you know, be able to mention it to Eden that I’m leading up this project, and here’s the way we’re going.

29 00:04:30.100 00:04:45.909 Robert Tseng: Yeah, so, I mean, when… I know, thank you for kind of creating this slide, but, like, I think I hear… I’m hearing two slides, one on the experimentation one right now. This is just kind of… I know you’re meeting with Ryan, but if you can make it ELT-facing, just, like, kind of give them a sense of, like, what we’re… what discipline we’re pushing on them for experimentation.

30 00:04:45.910 00:04:53.700 Robert Tseng: And then, I mean, there’s probably an existing, like, Tableau to Omni slide already that I had put in there. You can either

31 00:04:54.010 00:05:13.389 Robert Tseng: I mean, I’d probably make another one that’s just kind of describing kind of the timeline for it. I know we didn’t create a Gantt for it or anything, I think that’s just unnecessary, nobody reads it anyway. They just kind of trust us to run it. So, I don’t know what docs you put together already, if anything. Otherwise, just, like, some text on the slide is fine, and I can, like, work with that.

32 00:05:13.400 00:05:14.530 Greg Stoutenburg: Okay.

33 00:05:14.880 00:05:15.710 Robert Tseng: Yeah.

34 00:05:16.040 00:05:27.039 Robert Tseng: as far as, like, selection of reports moving to… I’m just trying to delineate, like, what we will handle internally, decision-wise, versus what they’ll do.

35 00:05:27.180 00:05:33.930 Robert Tseng: Yeah, like, we’ll… we’ll… we’ll choose which reports to move over. I think the first one is not just, like, what…

36 00:05:34.760 00:05:41.520 Robert Tseng: Well, yeah, I mean, there’s probably, like… I don’t know if you click through Tableau and look through all the live folders. Okay, you should probably do that.

37 00:05:41.760 00:05:52.729 Robert Tseng: there’s, like, it’s grouped by department. I recently went in there, like, a few weeks ago, and every report up there is… that’s… that’s still left is actually,

38 00:05:52.810 00:06:02.949 Robert Tseng: live and being used in some way, so those are the ones that we would want to migrate, with the executive reports being, like, the highest priority to move over first.

39 00:06:03.180 00:06:03.650 Greg Stoutenburg: Okay.

40 00:06:03.650 00:06:04.180 Robert Tseng: Yeah.

41 00:06:04.740 00:06:13.439 Greg Stoutenburg: Yeah, sounds good. Yeah, I need to… one of the things that I need to do today is just sort of get a grasp on what that’s going to look like overall, and then I can start digging in on it.

42 00:06:13.710 00:06:14.350 Robert Tseng: Yeah.

43 00:06:14.540 00:06:34.210 Robert Tseng: And then hopefully Omni is, like, good enough where… and we have multiple people on the very first side that can jump in. I don’t know if Casey’s built anything at Omni, but obviously Mustafa has, and yeah, we should just be, like, I don’t want you to be doing all of the, like, the report. We should just leverage, like, the other engineers that have been Omni trained at this point.

44 00:06:34.210 00:06:49.770 Greg Stoutenburg: Yeah, yeah, sounds good. And then the last thing, like, Ryan’s priority for the week is to make some progress on duplicate IDs in Mixpanel. I need to dig in and see where we even see these duplicate IDs, and then I’ll probably, you know, tap some… tap a data engineer to see if they can help me sort that out.

45 00:06:49.770 00:06:50.450 Robert Tseng: Okay.

46 00:06:50.610 00:07:01.660 Robert Tseng: Yeah, I see a bunch of tickets on your site that you created for this week. I don’t know if… how that kind of… a lot of them seem like they’re extensions of the previous ones that are from January 26, so I don’t know if you want to just…

47 00:07:01.890 00:07:02.960 Robert Tseng: If you can…

48 00:07:03.770 00:07:08.939 Robert Tseng: I would have to go click into them now, but if you want to just make sure that that’s the right

49 00:07:09.210 00:07:12.230 Robert Tseng: amount for… for the week for you, I think…

50 00:07:12.230 00:07:27.889 Greg Stoutenburg: Yeah, I’ll take a look, yeah. I’m trying… I’m trying to balance here, what Eden is saying they want right now with things that they said they want previously. I know what their goals are for MixedPanel, a lot of the stuff in here is, like, about MixedPanel, and then… Yeah.

51 00:07:28.130 00:07:34.090 Greg Stoutenburg: actually instrumenting experiments, that’s what the VWO stuff is about, but, yeah.

52 00:07:34.090 00:07:40.750 Robert Tseng: Yeah, so I’m sure things change, and, like, the tickets are moving targets, so you should just, like, clear out the ones that are no longer relevant.

53 00:07:40.750 00:07:43.820 Greg Stoutenburg: Yeah, sounds good, yeah, or kicking forward, yeah, sounds good.

54 00:07:44.080 00:07:44.680 Robert Tseng: Cool.

55 00:07:45.510 00:07:51.429 Robert Tseng: Alright, and then… yeah, Wish, I’ve been reviewing your, kind of.

56 00:07:51.730 00:08:03.829 Robert Tseng: questions? I don’t have an answer for you yet. I… I just… I’m just doing a little… I’m literally going through every sheet in that… in that file right now, so I probably need another 30 minutes to kind of finish… finish this review.

57 00:08:04.120 00:08:07.610 Robert Tseng: But generally, I feel like this is, like, On the right track.

58 00:08:07.810 00:08:13.569 Robert Tseng: Yeah, so I just… I just need a little more time on this.

59 00:08:14.650 00:08:19.729 Robert Tseng: Yeah, is there any, I mean, is there any, like, specific question that I can answer now that’s, like, you’re stuck on, or, like…

60 00:08:19.730 00:08:27.200 Awaish Kumar: No, no, like, for that model, I tried to come up with, whatever I could, so…

61 00:08:27.360 00:08:30.320 Awaish Kumar: I, like, I just wanted your review.

62 00:08:30.420 00:08:36.259 Awaish Kumar: On that, because, like, there are some metrics, like ratio metrics, like CAC, CPA,

63 00:08:36.450 00:08:43.230 Awaish Kumar: Either we have to break… Into multiple models, so that we can handle multiple granularities?

64 00:08:43.230 00:08:48.549 Robert Tseng: Or, if you could just calculate them in Google… Yeah, we can calculate them in Google Sheets, that’s fine, yeah.

65 00:08:48.550 00:08:49.160 Awaish Kumar: Cool.

66 00:08:49.910 00:09:04.140 Awaish Kumar: That was the main question. I have a basic thing, which I… we couldn’t actually calculate from the data. There were a few things, like the actual payout to affiliates and things like that, but I don’t think we have that data right now in the picture.

67 00:09:04.900 00:09:05.580 Robert Tseng: Okay.

68 00:09:06.310 00:09:15.590 Robert Tseng: Yeah, payouts to affiliate… well, that’s gonna be important. I mean…

69 00:09:16.530 00:09:21.190 Robert Tseng: Okay, that’s something we should ask Mitesh for. Yeah, okay, let me just…

70 00:09:21.980 00:09:25.980 Robert Tseng: Yeah, I’ll, I’ll ask him. Okay, that’s a good point.

71 00:09:26.600 00:09:32.270 Robert Tseng: But, like, 30-day CPA, like, that’s not something…

72 00:09:32.930 00:09:37.639 Robert Tseng: Oh, yeah, well, you would have to calculate it at the time of query after aggregate.

73 00:09:37.750 00:09:40.510 Robert Tseng: Yeah, I guess we could do that in Google Sheets, too.

74 00:09:44.320 00:09:53.499 Robert Tseng: Yeah, okay, yeah, that’s fine. Yeah, what… just… if we can get… I mean, I saw a raw tables, like, is that… is that… is that ready? I should just use this now?

75 00:09:53.500 00:10:00.159 Awaish Kumar: Yeah, it’s in the Google Sheet, like, in the sheet, I already sent it through Polytopic, so that’s basically there.

76 00:10:00.330 00:10:05.129 Robert Tseng: Okay, alright, and I’ll just work with that and try to see what I can come up with, on the…

77 00:10:05.440 00:10:06.689 Robert Tseng: On that side.

78 00:10:07.530 00:10:10.770 Robert Tseng: Dang, okay, alright, this is all converging now.

79 00:10:13.280 00:10:24.649 Robert Tseng: Yeah, okay, anything else? I think, probably maybe Amber, you had some things for me to… sounds like you met with, quite a few people over the past couple days.

80 00:10:24.650 00:10:35.040 Amber Lin: Yeah, first met with Brad and Katie on last Thursday to get a context of what things are, where things are at, and then I was able to pull

81 00:10:35.050 00:10:49.860 Amber Lin: So the product names, and then, based on what we have in the order summaries table, and then met with them yesterday to try and map that to the COGS that they gave us. However, yesterday they said.

82 00:10:50.320 00:11:07.680 Amber Lin: there’s no vial size, so they can’t really… they can help me manually map them, but if there’s an automatic way or more information we can give, they would prefer that. They also mentioned that Surf is also working on something similar.

83 00:11:07.700 00:11:11.110 Amber Lin: And so we also invited Serp to that meeting.

84 00:11:11.250 00:11:22.039 Amber Lin: And so, I think my next… next question is, one, can I find the vial size in our current data, or is that something, SurfSat…

85 00:11:22.040 00:11:37.809 Amber Lin: said he can include it, but it’s not as important to him, because he sends the dosage or the order to the pharmacy, and the pharmacy knows the vial size, etc. So I don’t think he’s working on the COG stuff.

86 00:11:37.950 00:11:42.170 Amber Lin: So, I think my question, then, probably for…

87 00:11:42.400 00:11:46.649 Amber Lin: Demolado for you guys is, do we have aisle size in…

88 00:11:46.750 00:11:50.989 Amber Lin: In our current data? Or is this something that we will have to

89 00:11:51.360 00:11:54.659 Amber Lin: manually do with Katie and Brad.

90 00:11:54.660 00:11:59.270 Awaish Kumar: Yeah, like, I don’t think we have, like, we have been trying this…

91 00:11:59.410 00:12:03.639 Awaish Kumar: Like, this was a constant request from Devil Ade to get this from Bask.

92 00:12:03.880 00:12:04.280 Amber Lin: Whatever.

93 00:12:04.280 00:12:05.770 Awaish Kumar: I don’t think we have received it.

94 00:12:06.170 00:12:14.420 Amber Lin: I see, I see, okay. So it’s in BASC, and I can technically manually check it, right?

95 00:12:15.330 00:12:16.800 Awaish Kumar: Yeah.

96 00:12:16.800 00:12:17.190 Demilade Agboola: I think.

97 00:12:17.190 00:12:17.590 Awaish Kumar: Yeah.

98 00:12:17.590 00:12:20.950 Demilade Agboola: I think it’s in Basque UI, but not API.

99 00:12:21.600 00:12:22.130 Amber Lin: Okay.

100 00:12:22.130 00:12:26.410 Demilade Agboola: you might just need to confirm that, but I think it’s in the UI, but not in the API, and we’ve been.

101 00:12:26.410 00:12:26.770 Amber Lin: Okay.

102 00:12:26.770 00:12:30.730 Demilade Agboola: for it to be in the API for, like, at this point, at least a year now.

103 00:12:31.130 00:12:34.520 Amber Lin: Okay, I see. So,

104 00:12:34.660 00:12:45.959 Amber Lin: Sounds good. So I have the different product names, they’re kind of under different treatment plans, so I think once I confirm on the vial size, we can then confirm on the

105 00:12:46.230 00:12:52.520 Amber Lin: then I can sum up the cogs for that certain vial, so I… I might just…

106 00:12:52.880 00:12:56.270 Amber Lin: try to see what I can find, and…

107 00:12:56.430 00:13:00.820 Amber Lin: Like, confirm, and then they will just have to do manual tagging of the…

108 00:13:00.930 00:13:04.260 Amber Lin: Of the treatments, of what vial combinations they are.

109 00:13:05.520 00:13:18.550 Robert Tseng: Yeah, I would say if it requires you going to Basque and going and kind of sampling some of them yourself, I mean, don’t do all of them, but just, like, know enough that you can tell them, like, just have someone on Brad’s team do it.

110 00:13:18.560 00:13:24.139 Amber Lin: Yeah, they said they’re willing to do it. They just said, they want to make sure that they don’t.

111 00:13:24.380 00:13:28.479 Amber Lin: Do extra work that’s not important or not needed.

112 00:13:28.880 00:13:29.800 Robert Tseng: Yeah, okay.

113 00:13:31.100 00:13:36.089 Amber Lin: Yeah, so that’s my next step. I’ll go in, go in bass and try and see where it is.

114 00:13:37.230 00:13:38.310 Robert Tseng: Okay, great.

115 00:13:44.040 00:13:51.629 Robert Tseng: Yeah. Other than that, I think I was just… I’m just trying to get the deck ready for tomorrow. So, yeah, I guess,

116 00:13:53.200 00:13:57.260 Robert Tseng: we didn’t really ask for wins, but I’m gonna basically… I mean.

117 00:13:57.720 00:14:03.480 Robert Tseng: Greg has slides that he’s doing. I mean, Jordan already put together his from last week, so I can pull some of those.

118 00:14:04.560 00:14:05.789 Robert Tseng: Yeah, I guess…

119 00:14:06.110 00:14:17.910 Robert Tseng: I mean, I don’t know if a waste would have any contribution here, from the engineering side on, like, new things that we’ve added, but I guess once I get to that point, I’ll probably just tag you, see if you can add anything else.

120 00:14:22.300 00:14:28.880 Awaish Kumar: Okay, yeah, like… Like, the last model we added for this executive reporting, like.

121 00:14:28.880 00:14:29.200 Robert Tseng: Yeah.

122 00:14:29.200 00:14:30.250 Awaish Kumar: Can we add that?

123 00:14:30.950 00:14:31.839 Robert Tseng: Yeah, we should.

124 00:14:32.660 00:14:33.340 Awaish Kumar: Okay.

125 00:14:35.720 00:14:37.709 Robert Tseng: Cool. Alright. Thanks, everyone.

126 00:14:38.040 00:14:39.280 Awaish Kumar: Okay, awesome.