Meeting Title: DE-AE-AI Standup Date: 2025-12-05 Meeting participants: Awaish Kumar, Mustafa Raja, Casie Aviles, Robert Tseng, Rico Rejoso, Sezim Zhenishbekova, Amber Lin, Ashwini Sharma, Henry Zhao, Zoran Selinger, Demilade Agboola, Uttam Kumaran
WEBVTT
1 00:00:57.130 ⇒ 00:00:58.190 Robert Tseng: Hello.
2 00:00:58.190 ⇒ 00:00:58.860 Awaish Kumar: Hello.
3 00:01:00.210 ⇒ 00:01:01.260 Sezim Zhenishbekova: Bye.
4 00:01:01.910 ⇒ 00:01:02.570 Sezim Zhenishbekova: Bye.
5 00:01:05.239 ⇒ 00:01:06.709 Robert Tseng: Oh, great.
6 00:01:13.569 ⇒ 00:01:16.669 Robert Tseng: I’ll wait until we have 8 people before I start.
7 00:01:32.410 ⇒ 00:01:34.439 Awaish Kumar: You have a metric for that as well.
8 00:01:39.990 ⇒ 00:01:40.870 Robert Tseng: Yeah.
9 00:02:06.610 ⇒ 00:02:12.099 Robert Tseng: Okay, actually, I’ll just get started. The Eden folks will join a bit later, so…
10 00:02:12.220 ⇒ 00:02:16.360 Robert Tseng: We’ll do Eden last. I think that’s what Henry and Zoran asked, so…
11 00:02:19.440 ⇒ 00:02:30.410 Robert Tseng: Okay, so… actually, we’re gonna start with README first. Yeah, Mustafa, I kind of… I watch your video, obviously I’ve been… we’re going back and forth in Slack, so…
12 00:02:30.770 ⇒ 00:02:39.919 Robert Tseng: Yeah, I think generally, like, the page… like, the dashboard looks good. I think we can probably send it over for another review.
13 00:02:40.020 ⇒ 00:02:43.360 Robert Tseng: Once you make those small changes that I made.
14 00:02:43.390 ⇒ 00:02:44.920 Mustafa Raja: I think those are the…
15 00:02:45.670 ⇒ 00:02:51.129 Robert Tseng: Okay, great. So I’ll just follow up with that, I’ll send it to them. I’m gonna send them two messages,
16 00:02:51.560 ⇒ 00:02:54.170 Robert Tseng: And then…
17 00:02:54.370 ⇒ 00:03:11.429 Robert Tseng: afterwards… actually, I might… I might just add you to the external facing client channel as well. I just want you to see how I’m communicating with them. I wrote… I wrote this ticket here, Executive Dashboard. I mean, I don’t want to just be alarming, this is like… I mean.
18 00:03:11.870 ⇒ 00:03:30.379 Robert Tseng: You know, now that we have a prod and staging environment in the… in the… or two… a prod and staging folder, we’re just… we’re only moving things that were, like, quote-unquote, confident in into prod, so I will, like, once we get your review on your report, then we’ll move it in there.
19 00:03:30.380 ⇒ 00:03:40.330 Robert Tseng: what this executive dashboard is, is really just a consolidation of stuff that we’ve already done. So, you know, Phoebe kept emphasizing there were just, like, 4, 5, 5 things that she wanted to look at.
20 00:03:40.390 ⇒ 00:03:48.879 Robert Tseng: Right, so this is just, like, signups, convert to page, like, you know, just that whole funnel, just putting it… this is… this is, like, 5 or 6 tiles. So it’s just…
21 00:03:48.880 ⇒ 00:04:03.970 Robert Tseng: share of signups, number of signups, number of onboarding completes. We have different versions of this already, right? It’s just, like, kind of putting it in one place where we can really just sign off on it. So that was, like, the one thing that she asked for, by the end of the week, so…
22 00:04:04.040 ⇒ 00:04:05.430 Robert Tseng: I think…
23 00:04:05.680 ⇒ 00:04:17.549 Robert Tseng: Yeah, I know we’re working on a few other sets of reports to kind of measure the experiments, but this was, like, one thing that she asked for specifically yesterday. Are there any questions on this?
24 00:04:21.779 ⇒ 00:04:24.530 Mustafa Raja: No, I’ll… Yeah, I’ll work on this.
25 00:04:25.280 ⇒ 00:04:31.219 Robert Tseng: Okay, yeah, yeah, I don’t want you to overthink it, like, you have this already.
26 00:04:31.220 ⇒ 00:04:31.760 Mustafa Raja: writing.
27 00:04:31.760 ⇒ 00:04:48.790 Robert Tseng: like, this is what you have in the… in the pricing version, we’re just, like, kind of stripping it out and just using… yeah, you know, like, so you… you already have this, this is the derivative of the same thing, this is also a derivative of the same thing. Yeah, anyway, so I just listed out specifically, like.
28 00:04:48.850 ⇒ 00:05:07.169 Robert Tseng: you know, she’s making very specific requests for what she wants to see on it, like, and… and that’s fine. We can… we’re just… we’re just putting it in one place. We have all the refinements on the filters and the cohorts to the best of our ability, and then, like, we can… I think that should keep her at day for, for… for this week.
29 00:05:08.400 ⇒ 00:05:09.060 Mustafa Raja: Yeah.
30 00:05:09.540 ⇒ 00:05:28.839 Robert Tseng: Okay. Obviously, AI boosters, not there. So, like, the other thing I want to be able to communicate to her, which you have explained to me, but I just don’t have it in message format, is, like, how do we communicate to them, these are the things that you’re missing, and you need to add these, right? For AI Boosters, we’ve communicated that, but there’s, like, a couple other things that
31 00:05:28.840 ⇒ 00:05:30.650 Robert Tseng: Are still, kind of, like.
32 00:05:30.940 ⇒ 00:05:39.049 Robert Tseng: We’ve, we’ve discussed it, but it’s not, like, very clearly presented, yet. Sorry, so this is, like, the,
33 00:05:39.550 ⇒ 00:05:48.870 Robert Tseng: plan changes, for example. Like, we understand the nuance of, like, the event fires, the user property doesn’t update, yadda, but, like.
34 00:05:49.050 ⇒ 00:06:08.069 Robert Tseng: being able to, like, communicate, well, in order to do this, you either add the previous tag, like the previous plan tag to the events, or you, make sure that, you know, the user property is being updated. I didn’t actually validate if it’s updated at all, like, we did say.
35 00:06:08.070 ⇒ 00:06:26.529 Robert Tseng: the event fires, we were going to check one hour later, then we were going to check 24 hours later to see if there’s, like, some sort of delay in, like, when Mongo, like, maybe necessarily, like, updates the user property. I didn’t… I didn’t… I didn’t validate that. So, if that’s a check that you want to make first before you make your recommendation.
36 00:06:26.530 ⇒ 00:06:32.790 Robert Tseng: I think this is… this is part of, like, that’s… that’s the other thing that I… that I… I think we need to get out of this.
37 00:06:33.640 ⇒ 00:06:35.339 Mustafa Raja: Yeah, I’m checking it right now.
38 00:06:35.550 ⇒ 00:06:39.979 Mustafa Raja: Okay. So we did it with the robert.dacng, and.
39 00:06:39.980 ⇒ 00:06:41.820 Robert Tseng: Yeah, yeah, my Brave Forge, yeah.
40 00:06:42.040 ⇒ 00:06:44.730 Mustafa Raja: Yeah, it’s still, free.
41 00:06:45.290 ⇒ 00:06:54.800 Robert Tseng: Yeah, okay, alright, so that pretty much confirms what we thought, because, you know, obviously, otherwise, that would have, like, your previous report wouldn’t have worked. So, yeah, I guess.
42 00:06:54.800 ⇒ 00:06:55.420 Mustafa Raja: Oh, yeah.
43 00:06:56.800 ⇒ 00:06:58.410 Robert Tseng: Yeah, that’s,
44 00:07:01.430 ⇒ 00:07:11.620 Robert Tseng: I mean, do you feel comfortable writing that message? Kind of like a… kind of client-facing, kind of draft me a message on, like, this is what you need to add and why?
45 00:07:23.900 ⇒ 00:07:25.439 Robert Tseng: Did you mute yourself?
46 00:07:29.180 ⇒ 00:07:39.390 Mustafa Raja: Sorry. I was saying, yeah, I’m going to, I’m going to write a message. So what I’m going to ask for is if the managed plan event, would also have a property.
47 00:07:39.490 ⇒ 00:07:44.419 Mustafa Raja: For previous plan, or the current plan that the user has.
48 00:07:44.780 ⇒ 00:07:47.320 Mustafa Raja: It would… it would really help us a lot.
49 00:07:47.960 ⇒ 00:07:49.999 Robert Tseng: Yeah, okay, great, thanks.
50 00:07:51.090 ⇒ 00:08:03.710 Robert Tseng: Alright, so I think that should cover it. I know Greg is kind of just, like, shadowing the background, but I just don’t really think he’ll really, he’ll really have much to contribute right now, so I think we’re… we’re… I think that should be enough for this week.
51 00:08:03.860 ⇒ 00:08:09.159 Robert Tseng: Yeah. I… I’m not gonna touch these tickets for now.
52 00:08:10.210 ⇒ 00:08:13.899 Robert Tseng: I think we have some stuff that was, like, in cycle, but, I mean…
53 00:08:14.420 ⇒ 00:08:20.760 Robert Tseng: You know, are you going… how much of the list do you think you’ll kind of get done? Is it still kind of still on track?
54 00:08:21.860 ⇒ 00:08:29.040 Mustafa Raja: Yeah, I was plan… planning to work on these two, but yeah, I guess… I guess I’ll be working on executive one then, right?
55 00:08:29.700 ⇒ 00:08:30.360 Robert Tseng: Yeah.
56 00:08:31.480 ⇒ 00:08:36.440 Robert Tseng: Yeah, so I’ll kind of bring these in.
57 00:08:38.390 ⇒ 00:08:43.390 Robert Tseng: In progress… this one… oh, this one didn’t actually…
58 00:08:46.820 ⇒ 00:08:47.980 Robert Tseng: Yay.
59 00:08:49.090 ⇒ 00:08:57.070 Robert Tseng: Yeah, we’re also kicking this… This is canceled.
60 00:08:57.910 ⇒ 00:09:02.850 Robert Tseng: Platform docs. We’re also just gonna cancel that.
61 00:09:03.510 ⇒ 00:09:08.610 Robert Tseng: And this is more or less done.
62 00:09:11.010 ⇒ 00:09:16.169 Robert Tseng: Okay, I think that kind of updates everything here.
63 00:09:18.270 ⇒ 00:09:26.620 Robert Tseng: Alright, let’s move to Honey Stinger. So… well, actually, Henry’s not here yet, so maybe I’ll just… oh, he is here. Okay, yeah, let’s talk about Honey Stinger.
64 00:09:28.790 ⇒ 00:09:43.660 Robert Tseng: Yeah, so I watched your videos, thank you for that. I think, basically, if I could just kind of go through it really quick. So, yeah, I’m just summarizing. You looked at every territory tracker doc, I mean, I kind of just… I distilled…
65 00:09:45.670 ⇒ 00:09:52.889 Robert Tseng: kind of what you wrote here, and kind of layered on some of my own feedback, so I’m just gonna kind of describe what I’ve… what I detected. So…
66 00:09:52.910 ⇒ 00:10:07.339 Robert Tseng: Yeah, what you showed me basically was, like, okay, we can do some sort of, like, inventory forecasting based on the POs. There’s some questions around why there are, like, gaps, like, random zero weeks, so we need to ask about that.
67 00:10:07.380 ⇒ 00:10:23.609 Robert Tseng: Because if we have, like, these random gaps in the PO periods, it’s like, are these actually true, like, dips, or, like, is this just, like, operationally, did we just, like, forget to send… or, like, we were just not able to meet the demand? Like, I think we just need to address, like, why there are those gaps.
68 00:10:24.090 ⇒ 00:10:39.449 Robert Tseng: And then, yeah, I mean, I kind of listed out, like, the different things that you said we have access to. So, I guess I had some questions around this whole, like, revenue at risk thing. I don’t really fully understand what you were… what you were saying there.
69 00:10:39.580 ⇒ 00:10:42.960 Robert Tseng: Do you know what I’m referring to? Can you… Yeah.
70 00:10:43.590 ⇒ 00:10:48.149 Henry Zhao: No, I just mean, like, tie the unsellable inventory to revenue.
71 00:10:48.340 ⇒ 00:11:01.699 Henry Zhao: And also, I want to understand, like, what’s the risk of having extra inventory, right? Like, if they want to be able to capture that demand, why don’t they just have extra inventory on hand? Is there, like, a cost there? Is there, like, an opportunity cost to that or something?
72 00:11:04.330 ⇒ 00:11:07.250 Robert Tseng: How can we try and sell more? Yes, too.
73 00:11:11.470 ⇒ 00:11:14.360 Robert Tseng: Okay, let me just make a couple edits here.
74 00:11:14.950 ⇒ 00:11:20.010 Robert Tseng: I think this is… But this is probably better…
75 00:11:20.250 ⇒ 00:11:24.450 Robert Tseng: Okay, great. So I’ll get some clarity on this today. Yeah.
76 00:11:24.820 ⇒ 00:11:30.650 Robert Tseng: And then the second piece was, like, around subscribe and save. I think this was interesting, because,
77 00:11:31.750 ⇒ 00:11:44.649 Robert Tseng: yeah, right now, we’re basically, like, is this something… Yeah, is this actually, like, a growth lever that they can use? There is, like, some sort of, like, stable, like, demand for subscribe and save.
78 00:11:44.920 ⇒ 00:11:50.440 Robert Tseng: But, like, you know, are we trying to bring more customers over to subscribe and save?
79 00:11:50.590 ⇒ 00:11:57.359 Robert Tseng: Or, like, I guess, like, what’s, like, kind of the strategy around that, right? So,
80 00:11:57.590 ⇒ 00:11:58.839 Robert Tseng: I guess, like.
81 00:11:59.400 ⇒ 00:12:14.110 Robert Tseng: I don’t personally know how you would incentivize more people to go subscribe and save, other than, like, changing the discount, like, presets, so, I mean, if that’s something they want to do more of, like, I kind of want to put a pin on that, because, like.
82 00:12:14.770 ⇒ 00:12:20.650 Robert Tseng: We look at subscriptions through… We have, like.
83 00:12:21.410 ⇒ 00:12:25.649 Robert Tseng: repeat customer data in Amazon. We have
84 00:12:25.780 ⇒ 00:12:39.710 Robert Tseng: subscriber data in Shopify, and we have Subscribe and Save in Amazon, right? So, I feel like these are, like, all different ways of looking at, subscription customers.
85 00:12:40.180 ⇒ 00:12:42.670 Robert Tseng: And… I guess, like.
86 00:12:44.780 ⇒ 00:13:03.489 Robert Tseng: do we… I mean, I think typically when you have multiple ways of looking at the same thing, you know, I can think, like, the financial approach is, like, to… to build some sort of, like, elasticity index that kind of is, like, across… across the thing. It’s like, if you change the inputs, if you increase,
87 00:13:03.720 ⇒ 00:13:20.709 Robert Tseng: subscribers by X percent, we would expect revenue to go up by Y%, right? And then you try to see if it holds true across, like, all three… all three models. So, like, that’s typically how I would approach something like this, where we have 3 different ways of looking at subscription customers.
88 00:13:20.710 ⇒ 00:13:26.780 Robert Tseng: I mean, I’m just trying to understand, like, do you have, like, a perspective on how you would… how you would, handle that?
89 00:13:27.660 ⇒ 00:13:30.010 Henry Zhao: No, I don’t think this should be a big focus.
90 00:13:31.890 ⇒ 00:13:32.360 Robert Tseng: Okay.
91 00:13:32.360 ⇒ 00:13:34.790 Henry Zhao: Yeah, I just don’t see it, like, driving that much revenue.
92 00:13:35.850 ⇒ 00:13:39.930 Robert Tseng: Okay, just because you think it’s small?
93 00:13:41.590 ⇒ 00:13:42.390 Robert Tseng: Okay.
94 00:13:42.810 ⇒ 00:13:46.200 Henry Zhao: And it would cost, like, too much effort to, like, increase it, I think.
95 00:13:46.700 ⇒ 00:13:47.290 Robert Tseng: Okay.
96 00:13:49.720 ⇒ 00:13:50.890 Henry Zhao: But we can do an analysis on that.
97 00:13:51.390 ⇒ 00:14:03.359 Robert Tseng: I will ask, but yeah, I agree, it’s probably small. Like, I forgot what, what share of their customer base is actually subscribers, but they’re not really a subscription company anyway, so, this may not be the most important.
98 00:14:03.510 ⇒ 00:14:13.609 Robert Tseng: Okay, and then… then you kind of mentioned some things around, like, brand… brand store impact, or brand store, and, like, awareness impacts, and search terms, or whatever. So…
99 00:14:13.610 ⇒ 00:14:33.070 Robert Tseng: yeah, I’m also kind of thinking, well, how do you, like… maybe individually, those signals don’t really mean very much, but, like, if you can kind of, like, combine them in some sort of, like, again, once again, some sort of index approach, like, maybe you get some better signal, when you, when you put them all together. So, I think that’s kind of what I was thinking, like.
100 00:14:33.220 ⇒ 00:14:45.810 Robert Tseng: yeah, maybe we just have to… you know, search terms… there’s a lot of things that you could do. I know there are 4 search terms that you looked at that all have Honeysteamer in it, but when you’re doing a search terms analysis, there’s typically, like.
101 00:14:45.810 ⇒ 00:14:56.919 Robert Tseng: You either expand your search till you look at category search terms, you look at competitor search terms, and those are all other signals to kind of see, like.
102 00:14:57.250 ⇒ 00:15:09.720 Robert Tseng: hey, is Honey Stinger search term traffic going down as their competitor search term traffic is going up? Like, you know, there’s, like, certain things like that where, I mean, they should be looking at more than just those four search terms. But…
103 00:15:10.060 ⇒ 00:15:20.020 Robert Tseng: I mean, like, you know, that’s… that’s one piece of it, so, like, I think the whole search terms thing can be expanded, but then also, like, yeah, you should probably combine it with…
104 00:15:20.020 ⇒ 00:15:35.729 Robert Tseng: like, some of these other features, like, based off of our internal, you know, PO, PO volume, off of, like, brand store visits. I’m actually not really quite clear on, like, how visitors even get driven to the brand store, so maybe this isn’t the best one.
105 00:15:35.730 ⇒ 00:15:36.139 Henry Zhao: Did you pass that?
106 00:15:37.470 ⇒ 00:15:42.980 Robert Tseng: Yeah, so I, I mean, I, I have, I have a question there, there, or actually, I’ll just write it down again.
107 00:15:43.110 ⇒ 00:15:49.809 Robert Tseng: How are we driving, customers?
108 00:15:50.780 ⇒ 00:15:58.700 Henry Zhao: And the analysis on search terms, like, we would only see the search terms that are bringing people to Honey Stinger, right? So, like, if competitors goes up, that actually means, like, we’re…
109 00:15:58.810 ⇒ 00:16:02.830 Henry Zhao: Honey Singer’s doing better in capturing competitors’ search terms.
110 00:16:04.370 ⇒ 00:16:09.900 Robert Tseng: Is that how that works for Amazon? Okay, yeah, I guess… It is, right, Amber? Yeah.
111 00:16:12.620 ⇒ 00:16:19.879 Robert Tseng: Okay, well… So, yeah, categories, competitors,
112 00:16:21.430 ⇒ 00:16:27.560 Robert Tseng: Yeah, well, basically, you know, what other… what other features should we be looking at?
113 00:16:31.480 ⇒ 00:16:34.119 Robert Tseng: As demand signals.
114 00:16:36.890 ⇒ 00:16:47.089 Robert Tseng: Okay, great. So, I think those are basically the three things that I would talk to him about. Is that… is that fair? Does that cover, kind of, what you feel like you shared with me?
115 00:16:47.870 ⇒ 00:16:50.390 Henry Zhao: Yeah Those are also good points.
116 00:16:51.070 ⇒ 00:16:56.389 Robert Tseng: Okay, great. Yeah, and then, Amber, I know you had a few things that you had
117 00:16:56.750 ⇒ 00:17:00.420 Robert Tseng: shared there, but I don’t know. I guess…
118 00:17:00.820 ⇒ 00:17:03.830 Robert Tseng: Anything you want to add on your tickets? Yeah.
119 00:17:04.339 ⇒ 00:17:15.509 Amber Lin: Well, I think today we’re talking with Byron about the two analysis that we sent. So the one Amazon PO follow-up, and then the Shopify analysis.
120 00:17:15.950 ⇒ 00:17:16.349 Robert Tseng: Are you gonna be.
121 00:17:16.359 ⇒ 00:17:17.489 Amber Lin: Awesome.
122 00:17:17.789 ⇒ 00:17:19.699 Amber Lin: Yeah, I am invited.
123 00:17:20.180 ⇒ 00:17:20.740 Robert Tseng: Okay, great.
124 00:17:20.740 ⇒ 00:17:29.989 Amber Lin: I have some about the cross-channel comparison, but I… I don’t know if we should talk about it, because we already have so much.
125 00:17:30.200 ⇒ 00:17:30.560 Robert Tseng: Yeah, yeah.
126 00:17:30.560 ⇒ 00:17:37.970 Amber Lin: That’s fine. We would need, Shopify, marketing… Cost, because we don’t.
127 00:17:37.970 ⇒ 00:17:54.230 Robert Tseng: Yeah, I think even just asking for that, it’s like, hey, we’ve been working on this cross-channel thing, it would be helpful if we had shopper marketing costs. You can even back up to speed that question. Okay, cool. Yeah, I guess, this was created, honestly, inventory tracker. Is this done? Like.
128 00:17:55.500 ⇒ 00:17:57.880 Robert Tseng: Or, like, what… I didn’t really get what this was.
129 00:17:58.280 ⇒ 00:18:01.810 Amber Lin: Oh, I think Demi wanted some sort of inventory…
130 00:18:02.290 ⇒ 00:18:04.770 Amber Lin: No, I think he was just getting access to it.
131 00:18:04.770 ⇒ 00:18:10.650 Robert Tseng: Yeah, I think this is just getting access to it. Alright, so… Okay, cool.
132 00:18:10.650 ⇒ 00:18:15.260 Awaish Kumar: I just have one question here, like, do you have any AED-related…
133 00:18:15.760 ⇒ 00:18:17.930 Awaish Kumar: Take tasks for this client?
134 00:18:18.510 ⇒ 00:18:22.690 Robert Tseng: There, there are. Mustafa is kind of helping out with it, but he’s kind of, like.
135 00:18:22.900 ⇒ 00:18:34.790 Robert Tseng: kind of packed with analysis, so I actually moved it to the next cycle. So, it just seemed like Henry just was able to look at the data that they gave us, and then Amber didn’t really need the models right now. So, there was nothing on it this week.
136 00:18:35.960 ⇒ 00:18:36.680 Awaish Kumar: Okay.
137 00:18:38.070 ⇒ 00:18:38.630 Robert Tseng: Yeah.
138 00:18:40.390 ⇒ 00:18:45.020 Robert Tseng: Right, Mustafa, you’re not working. We already agree that you’re gonna push the modeling off, right?
139 00:18:45.020 ⇒ 00:18:45.780 Mustafa Raja: Yes.
140 00:18:46.260 ⇒ 00:18:47.160 Robert Tseng: Okay, great.
141 00:18:47.450 ⇒ 00:18:49.090 Robert Tseng: Okay.
142 00:18:49.340 ⇒ 00:18:53.930 Robert Tseng: Yeah, let’s move on to insomnia.
143 00:18:54.500 ⇒ 00:18:58.880 Robert Tseng: Yeah, so, Amber, I know that you talked to,
144 00:18:59.750 ⇒ 00:19:04.180 Robert Tseng: Birdie yesterday, you had some… you left some messages there,
145 00:19:05.610 ⇒ 00:19:17.729 Robert Tseng: Yeah, actually, like, the Chief of Staff came back with some feedback on the analysis we gave her, so I do need to kind of connect with you and share a couple things, but maybe we can handle that offline, or like, I don’t know, is there anything that you wanted to bring up in the stand-up?
146 00:19:19.070 ⇒ 00:19:37.710 Amber Lin: So today, my goal was to finish up the two slides we need for Monday, so the weekly review. I’ll need to put some stuff there, and then the strategy I would like to review with you, I have the strategy outline.
147 00:19:37.710 ⇒ 00:19:44.240 Amber Lin: I started on the analysis outline, I’m diving deeper into that, but I don’t think that affects…
148 00:19:44.240 ⇒ 00:19:48.600 Amber Lin: the slide as much, so I just want to wrap up those two slides today.
149 00:19:49.670 ⇒ 00:19:58.659 Robert Tseng: Okay, that sounds good. Yeah, so as I didn’t finish reviewing your stuff yet, so I kind of just need to do it after this meeting.
150 00:19:58.660 ⇒ 00:19:59.440 Sezim Zhenishbekova: June.
151 00:19:59.990 ⇒ 00:20:04.210 Robert Tseng: Yeah. So, that’s… that’s that.
152 00:20:05.260 ⇒ 00:20:14.239 Robert Tseng: yeah, I mean, if I… if we end this early, I might just, like, kind of stay on to review it now. But okay. So, if nothing else, then I’ll just move on to Eden.
153 00:20:14.620 ⇒ 00:20:17.330 Robert Tseng: Yeah.
154 00:20:18.720 ⇒ 00:20:24.199 Robert Tseng: Alright, I think a lot of things were kind of moving around in Eden yesterday, so,
155 00:20:24.360 ⇒ 00:20:27.439 Robert Tseng: I guess, Zoran, do you wanna… do you wanna start?
156 00:20:27.640 ⇒ 00:20:46.130 Zoran Selinger: Sure, sure. So, non-integrated channels, so we added two subtasks there, so this is a cost import for next week. We need… we need it for offlens, we need it for catalysts. Two things pop… popped up this week as well. It seems like, we might…
157 00:20:46.160 ⇒ 00:20:51.330 Zoran Selinger: So for affluence, for example, we don’t have the order status.
158 00:20:52.090 ⇒ 00:20:56.670 Zoran Selinger: So we’ll need to figure out how to only give them credit for confirmed orders.
159 00:20:57.140 ⇒ 00:21:01.579 Zoran Selinger: We need to confirm, basically,
160 00:21:02.370 ⇒ 00:21:10.820 Zoran Selinger: Oh, sorry, sorry. So that’s a separate task. This is not for… for this. This is, so this is that… so Demilada is working on
161 00:21:10.930 ⇒ 00:21:23.130 Zoran Selinger: On crediting, upfronts, but we don’t even know if we have, Programmatic capabilities there, right?
162 00:21:23.650 ⇒ 00:21:24.620 Zoran Selinger: Yeah.
163 00:21:27.320 ⇒ 00:21:29.969 Awaish Kumar: Yeah, I actually, Zora and have.
164 00:21:31.350 ⇒ 00:21:36.449 Awaish Kumar: in the thread, if you can ask our friends and let them know, like, what we’re trying to achieve.
165 00:21:36.640 ⇒ 00:21:39.779 Awaish Kumar: Figure out the process of what really.
166 00:21:39.960 ⇒ 00:21:49.710 Awaish Kumar: what we need to do, like, we… we might not need this over CTL, or I don’t know, like, right now we don’t have any concrete steps or actions to.
167 00:21:50.260 ⇒ 00:21:59.050 Awaish Kumar: work on, so I would just first, like, go through the process, like, what’s the plan or action items, and then we can, like.
168 00:21:59.200 ⇒ 00:22:01.419 Awaish Kumar: Work on, like, implementing that.
169 00:22:01.880 ⇒ 00:22:20.270 Zoran Selinger: Yeah, yeah, I agree. We need to talk to them, and we need to talk to Catalyst. We’re potentially gonna do the same thing on Catalyst. So, Mitesh, told us yesterday that they don’t want to give visibility, even for pending orders to Catalyst.
170 00:22:20.330 ⇒ 00:22:21.940 Zoran Selinger: So, essentially.
171 00:22:21.940 ⇒ 00:22:23.100 Robert Tseng: see, yeah.
172 00:22:23.100 ⇒ 00:22:24.429 Zoran Selinger: Yeah, so essentially, meaning.
173 00:22:24.430 ⇒ 00:22:24.800 Robert Tseng: Yeah.
174 00:22:24.800 ⇒ 00:22:30.460 Zoran Selinger: We don’t want to track it in GTM at all. We just want to have the API call.
175 00:22:30.730 ⇒ 00:22:31.140 Awaish Kumar: Okay.
176 00:22:31.590 ⇒ 00:22:32.520 Zoran Selinger: Now.
177 00:22:33.190 ⇒ 00:22:39.119 Zoran Selinger: I… we still need to figure out if that is even a possibility. Can their system work without
178 00:22:39.540 ⇒ 00:22:51.999 Zoran Selinger: first, there being a pixel, pixel call, and then we update the status via the API. So, we still need to confirm that. So, we might… we might end up doing
179 00:22:52.090 ⇒ 00:23:02.880 Zoran Selinger: the same thing for both affluence and catalysts, where we are removing transactions from the GTM completely, and only relying on the
180 00:23:02.900 ⇒ 00:23:13.560 Zoran Selinger: On the programmatic. So let’s, so that’s basically the goal for next week. Is it, when it comes to the catalyst,
181 00:23:13.790 ⇒ 00:23:19.539 Zoran Selinger: a cost import for… for, NordBeam, that’s… that’s… that’s an easy part.
182 00:23:19.930 ⇒ 00:23:23.500 Zoran Selinger: Because we do have a cost API there.
183 00:23:23.700 ⇒ 00:23:30.839 Zoran Selinger: So we just need a simple model and a reverse ETL there. So I’m confident we’re going to do it next week.
184 00:23:31.190 ⇒ 00:23:37.780 Zoran Selinger: So that’s… that’s not a problem. But for affluence, we are completely unclear what needs to happen.
185 00:23:37.780 ⇒ 00:23:38.610 Awaish Kumar: Oh, it’s funny.
186 00:23:38.610 ⇒ 00:23:40.749 Zoran Selinger: For the imp… yeah, go ahead.
187 00:23:40.750 ⇒ 00:23:51.870 Awaish Kumar: Just want to say that we do have data coming… cost data coming from both UpFrange and Catalyst, but we have not explored reverse ETL part of… for both of these to send, like, spend data.
188 00:23:52.290 ⇒ 00:23:57.940 Zoran Selinger: Yeah, yeah, so I’m gonna start that conversation early next… next week,
189 00:23:58.090 ⇒ 00:24:04.020 Zoran Selinger: Seems, you know, there’s a simple endpoint. We should be able to do that next week.
190 00:24:04.570 ⇒ 00:24:05.170 Awaish Kumar: Okay.
191 00:24:05.330 ⇒ 00:24:11.229 Awaish Kumar: For I might agree, because they have a… they have a good API, but for up to…
192 00:24:11.520 ⇒ 00:24:14.400 Awaish Kumar: Sure, like, they will have any versatile.
193 00:24:15.180 ⇒ 00:24:21.090 Zoran Selinger: Yeah, yeah, so we’ll… I’ll have conversations with both of them, hopefully.
194 00:24:21.230 ⇒ 00:24:26.660 Zoran Selinger: currently talking about, talking to Mitesh about, how…
195 00:24:26.890 ⇒ 00:24:33.790 Zoran Selinger: how to approach that conversation, for example, with Catalyst, right? Because, I don’t know,
196 00:24:34.200 ⇒ 00:24:41.869 Zoran Selinger: Should I just openly talk about, okay, we want to limit your visibility, right? So, just talking about the approach today.
197 00:24:42.300 ⇒ 00:24:44.050 Robert Tseng: Yeah, okay.
198 00:24:44.290 ⇒ 00:24:47.380 Zoran Selinger: Yeah, and Demilada, you wanted to say something?
199 00:24:48.090 ⇒ 00:24:57.349 Demilade Agboola: I was looking to say, for Reverse CTL with offense in particular, they don’t currently have the setup for that. So, the… I’m talking to the team, or I have talked to the team.
200 00:24:57.400 ⇒ 00:25:11.769 Demilade Agboola: And I’ve let them know, like, what… if we’re going to do University of what we would want to push into their system. And so the contact, Michelle is talking to the team, and she will get back to me on that. But they don’t have the facilities right now.
201 00:25:13.910 ⇒ 00:25:18.820 Zoran Selinger: What’s your impression? Is there a chance we get that, or it’s unlikely?
202 00:25:19.980 ⇒ 00:25:35.750 Demilade Agboola: I mean, she hasn’t really spoken much to the feasibility of it. She just asked me what do I require, where do I need to see it, and I just sent those requirements over to her, and she’ll talk to the team and get back to me. So I don’t really have a feel for whether they can or won’t do it.
203 00:25:37.010 ⇒ 00:25:53.809 Zoran Selinger: Yeah, so if that’s not an option, then the only thing we can do is we can rely only on pixel. So, pixel is the only thing we can do. So this is now an engineering question, maybe not for this call, but is there a way to, let’s say, mimic
204 00:25:55.090 ⇒ 00:25:58.760 Zoran Selinger: a GTM, you know, client environment.
205 00:25:58.910 ⇒ 00:26:08.030 Zoran Selinger: Where we only retroactively fire, basically, a pixel in some environment, only for confirmed orders.
206 00:26:08.580 ⇒ 00:26:15.250 Zoran Selinger: So, like, that’s an engineering question, and it’s probably a stretch.
207 00:26:16.000 ⇒ 00:26:24.920 Zoran Selinger: I… it’s probably unlikely, but that’s the only thing I see. If they don’t have programmatic, yeah, I don’t see… see another option.
208 00:26:26.030 ⇒ 00:26:37.079 Robert Tseng: Okay, I mean, we can talk about it more later, but I’m just thinking, well, what if you just created a different container, and you fired the convert events into that one, and you used that one only to do the programmatic,
209 00:26:37.290 ⇒ 00:26:40.740 Robert Tseng: To send events to the programmatic channels.
210 00:26:40.880 ⇒ 00:26:49.449 Zoran Selinger: Yeah, let’s talk about it next week, but yeah, we have some complexity there. It looks like, yeah, it’s not…
211 00:26:49.830 ⇒ 00:27:02.739 Zoran Selinger: It’s pretty limited in functionality. Okay. Yeah. So for normal implementation, so I just, so I was focusing on these, non-integrated channels.
212 00:27:02.910 ⇒ 00:27:03.960 Zoran Selinger: Okay.
213 00:27:04.040 ⇒ 00:27:15.809 Zoran Selinger: So I still don’t… we still don’t know where the API calls are coming from. I thought we completed this conversation, but then, just before we found the answer.
214 00:27:15.830 ⇒ 00:27:24.550 Zoran Selinger: Aesh reminded me that we kind of said that we’re going to step away from Norbil, so we abandoned that conversation, essentially.
215 00:27:24.920 ⇒ 00:27:27.830 Zoran Selinger: So I need to figure out…
216 00:27:27.940 ⇒ 00:27:28.719 Awaish Kumar: I was…
217 00:27:29.620 ⇒ 00:27:35.790 Awaish Kumar: Basically, for the North Beam, we figure out what API is sending data to North Beam, and then… Yeah, yeah.
218 00:27:36.040 ⇒ 00:27:51.400 Awaish Kumar: we wanted, to close, like, work on a ticket so that we have an script which will send data to Northbeam, and we delete that API key so that whatever script is sending, it will just fail. But that was, like, deprioritized.
219 00:27:51.540 ⇒ 00:27:54.490 Awaish Kumar: Because, like, there are other tickets to the task.
220 00:27:54.700 ⇒ 00:28:05.049 Awaish Kumar: Right. Using different tools, so we didn’t work on it, basically. So now, if we need to work on that, like, we have to bring this… that in the next cycle.
221 00:28:05.860 ⇒ 00:28:06.629 Zoran Selinger: So, I just…
222 00:28:06.990 ⇒ 00:28:26.390 Zoran Selinger: want to say this, this, Robert, and I want to hear your opinion. So, I was… I was looking at data integrity, like, there’s a… there’s a thing in the interface, and we look… it’s… it looks good, okay? We don’t really have a need to break anything right now, but…
223 00:28:26.390 ⇒ 00:28:30.029 Zoran Selinger: I’m still uncomfortable without knowing where this comes from.
224 00:28:30.930 ⇒ 00:28:31.560 Zoran Selinger: So…
225 00:28:31.560 ⇒ 00:28:31.940 Robert Tseng: Yeah.
226 00:28:31.940 ⇒ 00:28:34.769 Zoran Selinger: I’m kind of conflicted, like, should we…
227 00:28:34.960 ⇒ 00:28:39.680 Zoran Selinger: it’s working, we shouldn’t… we shouldn’t touch it, really.
228 00:28:40.630 ⇒ 00:28:43.090 Robert Tseng: But I don’t know where it is.
229 00:28:43.590 ⇒ 00:28:44.289 Zoran Selinger: I don’t know what.
230 00:28:44.290 ⇒ 00:28:55.919 Robert Tseng: Yeah, it looks like it’s working, but then, like, you know, if you’re going to actually test to see if this is, like, what’s actually happening, you risk breaking it, or, like, data will… it will just have, like, a data…
231 00:28:56.010 ⇒ 00:29:04.370 Robert Tseng: lapse for however long we’re… we… we shut off… we shut off the script for. Yeah, I mean, I… that’s… that’s a tough question.
232 00:29:04.370 ⇒ 00:29:12.319 Zoran Selinger: Yeah, it is. I know we had that conversation with them, they don’t know where it is, so we literally have to break it.
233 00:29:12.600 ⇒ 00:29:13.080 Robert Tseng: Yeah.
234 00:29:13.080 ⇒ 00:29:13.740 Zoran Selinger: I may have to break it.
235 00:29:13.740 ⇒ 00:29:14.890 Robert Tseng: bird to see it, yeah.
236 00:29:14.890 ⇒ 00:29:18.660 Zoran Selinger: it’s… It’s… it’s a tough one, I don’t know.
237 00:29:18.810 ⇒ 00:29:20.789 Zoran Selinger: I’ll… I’ll… I’ll sleep.
238 00:29:20.790 ⇒ 00:29:35.950 Robert Tseng: Better now than later, because, like, before they add new channels, they ramp up at a sped or whatever, right? Like, I don’t know, maybe we just… maybe you just tell Qatar and Mitesh, like, look, we need to do this, there’s gonna be a lapse in data for, like, a week, or whatever, however long you need.
239 00:29:35.950 ⇒ 00:29:46.220 Robert Tseng: But, like, you know, since we’re not really changing your spend strategy now, like, this is the time to do it before we ramp up spend anywhere else. Like, this is just something we feel like we need to do.
240 00:29:46.220 ⇒ 00:29:47.680 Robert Tseng: Yeah.
241 00:29:47.680 ⇒ 00:29:49.780 Awaish Kumar: I have a question for Zoran, like, what if…
242 00:29:49.880 ⇒ 00:29:56.609 Awaish Kumar: If we send the order, like, data for an order, which is already coming from somewhere else, does it…
243 00:29:56.930 ⇒ 00:30:00.199 Awaish Kumar: break anything I’m not being more? Does it, like…
244 00:30:00.460 ⇒ 00:30:05.009 Zoran Selinger: Oh, you mean the duplicate… the duplication process, is that…
245 00:30:05.270 ⇒ 00:30:08.389 Zoran Selinger: in place already. I don’t know.
246 00:30:09.660 ⇒ 00:30:20.410 Awaish Kumar: I’m trying to say is that, what if we just work on our script, deploy it, it starts sending the data to not speak, and then we break it. So we don’t have this gap.
247 00:30:20.540 ⇒ 00:30:22.109 Awaish Kumar: Period. Like, we just…
248 00:30:22.110 ⇒ 00:30:34.270 Robert Tseng: Yeah, let’s, let’s, let’s circle back with maybe the three of us, and we’ll jump on a call after this, like, I don’t… I think we’re just kind of taking a little long, so, but yeah, like, we should talk about it. Okay.
249 00:30:34.270 ⇒ 00:30:39.129 Zoran Selinger: Yeah. Cool. So, Srini and myself, we are working on Meta.
250 00:30:39.130 ⇒ 00:30:39.460 Robert Tseng: Okay.
251 00:30:39.460 ⇒ 00:30:54.389 Zoran Selinger: I… I was updating synthetic data a little bit today, I’m missing a few columns. It’s… he’s clear on… on the… on the logic there, so yeah, we’re gonna be, be ready on that. I’m just,
252 00:30:54.660 ⇒ 00:31:00.990 Zoran Selinger: should I work on the reverse ETL there, or should be engineering that’s doing that?
253 00:31:01.800 ⇒ 00:31:05.839 Robert Tseng: Engineering should do any, any, like, yeah.
254 00:31:06.240 ⇒ 00:31:11.730 Zoran Selinger: Okay, I think that I kept that ticket to myself,
255 00:31:14.560 ⇒ 00:31:22.120 Zoran Selinger: Yeah, so… You want to move this? Yeah, okay. I mean, I can… I can do that.
256 00:31:22.520 ⇒ 00:31:25.679 Zoran Selinger: But, I don’t know if I should.
257 00:31:27.740 ⇒ 00:31:34.579 Robert Tseng: Well, I mean, you’re gonna be validating it anyway, right? So, I mean, for this one, I’m like, even if Ashmini pushes it, you’re gonna have to go and check it, so…
258 00:31:34.580 ⇒ 00:31:39.550 Zoran Selinger: Okay, let… okay, then leave it with me. Leave it with me. Yeah, okay.
259 00:31:40.140 ⇒ 00:31:41.810 Zoran Selinger: Oh, what else is there?
260 00:31:41.990 ⇒ 00:31:45.510 Zoran Selinger: We… yeah.
261 00:31:45.860 ⇒ 00:31:46.640 Zoran Selinger: I mean…
262 00:31:46.640 ⇒ 00:31:48.700 Robert Tseng: Push this off your next cycle, probably.
263 00:31:49.000 ⇒ 00:31:59.889 Robert Tseng: Before and after on identity stitching, yeah, this still is… ideally would be by… I’m gonna set a deadline on it by Tuesday. I want this to be on the deck by Tuesday, so…
264 00:32:01.880 ⇒ 00:32:02.680 Robert Tseng: Yeah.
265 00:32:02.830 ⇒ 00:32:03.910 Robert Tseng: Beautiful. That’s, that’s.
266 00:32:03.910 ⇒ 00:32:10.090 Zoran Selinger: fine, I… I have, so I wanna work on those slides on, on Monday.
267 00:32:10.530 ⇒ 00:32:11.670 Robert Tseng: Yeah, that’s fine. Okay.
268 00:32:11.670 ⇒ 00:32:12.210 Zoran Selinger: Yep.
269 00:32:12.760 ⇒ 00:32:16.229 Robert Tseng: Yeah, Henry. Wow, this is…
270 00:32:16.880 ⇒ 00:32:20.440 Robert Tseng: I guess you knock down everything, or I guess what?
271 00:32:20.690 ⇒ 00:32:27.359 Henry Zhao: Yeah, no, my main focus is just… yeah, my main two focuses are just Thorough pass. So, okay, so first of all, for Thorough Pass.
272 00:32:28.190 ⇒ 00:32:33.630 Henry Zhao: I think there’s a lot of things that Eden probably needs to do to make sure that we’re fully compliant, right?
273 00:32:33.630 ⇒ 00:32:41.890 Robert Tseng: Yeah, so… I don’t know if you can look at the history of this, but… oop. I… like…
274 00:32:43.030 ⇒ 00:32:50.009 Robert Tseng: If I go back to this project, like, I had this whole set of, like, things that they needed to do.
275 00:32:50.830 ⇒ 00:32:58.280 Robert Tseng: Yes. So… wow, I did this in March. So I think these are all the things that Eden needs to do.
276 00:32:58.670 ⇒ 00:33:00.440 Robert Tseng: Yeah, I might just, like…
277 00:33:00.920 ⇒ 00:33:14.129 Robert Tseng: Yeah, anyway, so you should look at the project and kind of pick back up. The tickets, the checks, like, the links to everything are here. So, I think these are all the things that they need to do in order, and it is more of just kind of, like.
278 00:33:14.640 ⇒ 00:33:20.159 Robert Tseng: A project management kind of thing, telling the, like, Like, for example, like.
279 00:33:20.480 ⇒ 00:33:27.380 Robert Tseng: Actually, this one is probably under control. GCP Logging and audits is under control, so that’s not a good one. But, like, like, quarterly.
280 00:33:27.380 ⇒ 00:33:34.210 Henry Zhao: One example is, like, ThoroughPass wants us to publish the, the data policy, can I go ahead and do that? You already wrote it down.
281 00:33:34.210 ⇒ 00:33:36.879 Robert Tseng: Yeah, you can. Yeah, I think I already wrote it, so yeah. Yeah, yeah.
282 00:33:36.880 ⇒ 00:33:37.460 Henry Zhao: Yeah, cool.
283 00:33:37.460 ⇒ 00:33:38.040 Robert Tseng: So, yeah.
284 00:33:38.040 ⇒ 00:33:38.630 Henry Zhao: stuff like that.
285 00:33:38.630 ⇒ 00:33:53.939 Robert Tseng: Yeah, you can publish. Yeah, but, like, this one, like, obviously, this is not for… like, this is, I mean, just anything, like, operations-related, you should just tell Danny, and just tell him, like… Daniel? Oh, yeah, I mean, ideally, yeah, Daniel, yeah, Daniel, like, he needs to do this, so,
286 00:33:54.080 ⇒ 00:34:00.749 Robert Tseng: like, yeah, this is not our responsibility. So, anyway, I tried to already assign who the owners are in ThermoPass, like.
287 00:34:00.890 ⇒ 00:34:04.029 Robert Tseng: So hopefully that gave you some clearance.
288 00:34:04.400 ⇒ 00:34:23.389 Robert Tseng: I don’t expect you to do this over, like, a week, but, like, it’s just… I want you to review it, feel like, okay, do you feel like you could bring this to completion in a month? And if so, like, you know, maybe we just… I’ll tell you, like, this is… this is… we’ll take the scope back on, and, like, you know, this is just something that you can… you can work on over… over a period of time.
289 00:34:23.510 ⇒ 00:34:25.639 Henry Zhao: Yup, but ready by 2026.
290 00:34:26.459 ⇒ 00:34:40.969 Robert Tseng: Yeah, I think, we’ve got another year renewal. They pay $50,000 a year for this stuff, and it’s, like, until March, so they’ve already spent 100 grand on this, and literally nothing has happened. So, anyway, like, it’s…
291 00:34:41.239 ⇒ 00:34:58.830 Robert Tseng: I think it would be nice if we could knock it out before… I think the renewal is up March again, so… or April, I forget what day, but anyway, so this is not urgent, but, like, if we can just tell them that, hey, this is a Q1 project for us, like, I… I mean, I think they’d be happy with that.
292 00:34:59.430 ⇒ 00:35:00.100 Henry Zhao: Okay.
293 00:35:00.500 ⇒ 00:35:20.140 Robert Tseng: Okay, anyway, so that’s… that’s that. Obviously, the analysis stuff is more important in terms of, like, having a roadmap there, whatever the road passes, something that I just think, you know, I’m just giving… I was just giving you something else to kind of see if you want to take it on. Yeah. All right, anything else on Eden?
294 00:35:21.330 ⇒ 00:35:27.779 Henry Zhao: Yeah, so later today I have the two pharmacy meetings, right? So, to just basically show what we have in Tableau on the pharmacy ops.
295 00:35:27.900 ⇒ 00:35:30.560 Henry Zhao: And also get the stuff from Pharmetica.
296 00:35:30.740 ⇒ 00:35:35.830 Henry Zhao: And then Demolade is helping me out with the plugin data that Pete sent me.
297 00:35:36.930 ⇒ 00:35:37.770 Robert Tseng: Okay.
298 00:35:37.770 ⇒ 00:35:55.690 Henry Zhao: So I got some better understanding of, like, if there’s data there, no, so I basically asked Emilate why, if you have this data, like, why… what is, like, putting in Tableau, adding in terms of value? Basically, he said the actual problem is that he doesn’t believe that that data is accurate, like, it was written by some farm… pharmacy guy, like, that’s no longer at Eden.
299 00:35:55.690 ⇒ 00:36:05.339 Henry Zhao: So, we might not even need to look at the data, we just need to figure out, like, how do we actually get the correct data, or if there’s any, like, logic flaws or anything. So, I added you to a data thread with him.
300 00:36:05.610 ⇒ 00:36:06.680 Henry Zhao: A Slack thread.
301 00:36:08.250 ⇒ 00:36:17.170 Demilade Agboola: Okay, yeah, sounds good. Also, we’ve been able to… I just need to… once the PR is merged, I’ll refresh data, and we’ll have optimized data in all our dashboards.
302 00:36:17.670 ⇒ 00:36:22.750 Demilade Agboola: So, that would be one of the wins that we can push toward them.
303 00:36:23.050 ⇒ 00:36:27.810 Demilade Agboola: And… yeah, I think that would be it from, like, the offline side.
304 00:36:29.210 ⇒ 00:36:29.890 Robert Tseng: Okay.
305 00:36:30.030 ⇒ 00:36:32.060 Robert Tseng: Last question would be…
306 00:36:32.820 ⇒ 00:36:39.879 Robert Tseng: For… I mean, I know you’re doing all the pharmacy meetings, but for meeting Jonah on Monday, is that still happening? Henry Yunes.
307 00:36:39.880 ⇒ 00:36:40.320 Henry Zhao: Yes.
308 00:36:40.320 ⇒ 00:36:45.440 Robert Tseng: You and Seism? Okay. Yeah, I had a sync with Sesim yesterday, so… yeah, it’s still happening.
309 00:36:45.990 ⇒ 00:36:46.660 Robert Tseng: Okay.
310 00:36:47.430 ⇒ 00:36:52.769 Robert Tseng: Alrighty, cool. Then I think that’s… that’s all I got.
311 00:36:52.770 ⇒ 00:36:58.090 Henry Zhao: So yeah, I’ll have the slides after the meeting on Monday, because we have that finance slide too, right? So… Okay.
312 00:37:00.780 ⇒ 00:37:12.160 Robert Tseng: Yeah, that’s… yeah, that’s all I got. So, I think I will stay on to do the review of the Insomnia financial forecasts.
313 00:37:12.700 ⇒ 00:37:15.509 Sezim Zhenishbekova: Yeah, I’ll stay on, too. Okay.
314 00:37:15.570 ⇒ 00:37:20.369 Robert Tseng: Yeah, but otherwise… I guess the rest can… can drop.
315 00:37:23.850 ⇒ 00:37:24.730 Zoran Selinger: Alright, thanks.
316 00:37:25.210 ⇒ 00:37:26.770 Demilade Agboola: Alright, see y’all. Alright, thanks everyone.
317 00:37:26.770 ⇒ 00:37:27.530 Awaish Kumar: Thank you.
318 00:37:27.710 ⇒ 00:37:29.210 Henry Zhao: Wait, you said you’ll stay on for what?
319 00:37:29.700 ⇒ 00:37:32.449 Robert Tseng: Insomnia.
320 00:37:32.450 ⇒ 00:37:32.920 Henry Zhao: Okay.
321 00:37:32.920 ⇒ 00:37:36.440 Robert Tseng: It’s like a scorecard thing that I’m gonna review from Sesame.
322 00:37:36.930 ⇒ 00:37:37.720 Henry Zhao: Okay, gotcha.
323 00:37:38.260 ⇒ 00:37:38.810 Robert Tseng: Yeah.
324 00:37:41.380 ⇒ 00:37:43.849 Robert Tseng: Okay, let’s do this.
325 00:37:50.050 ⇒ 00:37:50.940 Robert Tseng: Hey.
326 00:37:51.240 ⇒ 00:37:52.510 Robert Tseng: Yes. So…
327 00:37:54.910 ⇒ 00:38:09.110 Sezim Zhenishbekova: So, yeah, this is the view that we prioritized based on the yesterday’s meeting. You like this version more than the second one, which is time series format, right? And yesterday, I also had a call with Amber and Casey, but…
328 00:38:09.260 ⇒ 00:38:15.169 Sezim Zhenishbekova: They just, like, explained me the processes that they go through, but they couldn’t capture the…
329 00:38:15.290 ⇒ 00:38:27.989 Sezim Zhenishbekova: like, why, and how, and like, that’s why I had a bunch of questions, and I think it’s better to talk to you, too. But the biggest, like, Amber’s and Casey’s comment was about…
330 00:38:28.080 ⇒ 00:38:36.610 Sezim Zhenishbekova: like, bringing all the sheets, FDA projections and marketing tracker, to the same sheet, and I was wondering
331 00:38:36.730 ⇒ 00:38:46.470 Sezim Zhenishbekova: how, like, what kind of work you do with FDA projections, and, like, all those docs, can it be integrated into this one, and what’s holding it back?
332 00:38:47.010 ⇒ 00:38:48.440 Sezim Zhenishbekova: from happening.
333 00:38:49.230 ⇒ 00:38:51.320 Robert Tseng: Yeah.
334 00:38:52.080 ⇒ 00:38:59.910 Sezim Zhenishbekova: I do use it for different purposes? That’s why you don’t put it all together, because document can get heavy.
335 00:39:00.950 ⇒ 00:39:05.119 Robert Tseng: Yeah, they’re… they’re, they’re in different places. I mean, none…
336 00:39:06.470 ⇒ 00:39:19.329 Robert Tseng: there’s just no, like, I mean, the ideal situation is that all of those data sources would go straight into the data warehouse. Like, I wouldn’t have a limited spreadsheets at all, to be honest. But.
337 00:39:19.330 ⇒ 00:39:19.700 Sezim Zhenishbekova: Yeah.
338 00:39:19.960 ⇒ 00:39:24.280 Robert Tseng: Stuff is, like… I mean, they… they…
339 00:39:25.480 ⇒ 00:39:31.799 Robert Tseng: they prefer, like, the executives work out of spreadsheets, that’s why this is… this is what it is.
340 00:39:33.160 ⇒ 00:39:56.529 Robert Tseng: I… I mean, I don’t think we have FDA projections, like, we’re not projecting much, like, the FDA reports, maybe Casey showed you those, those are really just, like, CSV exports out of DoorDash, Grubhub, Uber Eats, or not… I guess, Grubhub no longer. Yeah, I mean, I want that FDA data in our… in the data warehouse, but it just has not happened. We’re just… we’re blocked for different reasons.
341 00:39:57.230 ⇒ 00:39:57.830 Sezim Zhenishbekova: Hmm.
342 00:39:58.910 ⇒ 00:40:04.669 Robert Tseng: there is… yeah, I mean, so anyway, like, that’s… that’s why every source kind of lives in different… different areas, and we kind of.
343 00:40:05.260 ⇒ 00:40:17.030 Robert Tseng: paste it in. So, I… I think that that’s more of an engineering problem. I don’t expect you to solve that. Like, I think our team understands, like, if we… if we actually were able to
344 00:40:17.200 ⇒ 00:40:23.309 Robert Tseng: redo the… like, build models in the data warehouse, like, we… we know how to… we know how to do that, so…
345 00:40:23.430 ⇒ 00:40:36.259 Robert Tseng: it’s… it’s just, like, their… their, their engineering… director of engineering is not letting us do that, so I… I think that’s… that’s… that’s a different ask. Like, this… this is more, like, kind of the final output is.
346 00:40:36.260 ⇒ 00:40:37.380 Sezim Zhenishbekova: So, yeah.
347 00:40:37.380 ⇒ 00:40:40.319 Robert Tseng: like this, and so I wanted to just be… I want just…
348 00:40:40.320 ⇒ 00:40:41.550 Sezim Zhenishbekova: Like, in this format, right?
349 00:40:41.550 ⇒ 00:40:42.570 Robert Tseng: Better. Yeah.
350 00:40:42.570 ⇒ 00:40:56.440 Sezim Zhenishbekova: Yeah, that’s why I thought, like, you wanna… you have mentioned that you wanna cut the time, like, from 20 to 10, and that’s why I started studying all the other stuff, how it’s plugged in, so, like, to see if, systematically, how it can be done, so…
351 00:40:56.440 ⇒ 00:40:56.820 Robert Tseng: Yeah.
352 00:40:56.820 ⇒ 00:41:13.419 Sezim Zhenishbekova: But now it makes sense. Okay, so we just wanted to… okay, and then, and then Amber told me that she takes these queries and analyzes for her, like, this… her own analysis based on this, and I shared a list of, list of,
353 00:41:13.590 ⇒ 00:41:28.250 Sezim Zhenishbekova: charts that I was… like, I’m thinking to, like, once the system… this system is approved, I was gonna quickly, like, draft the… drafts as a separate dashboard, like, executive summary for weekly, monthly, and quarterly, just like you wanted.
354 00:41:28.650 ⇒ 00:41:30.960 Sezim Zhenishbekova: To chart up some charts.
355 00:41:31.380 ⇒ 00:41:38.870 Sezim Zhenishbekova: So the dashboard is, like, viewable, and if they’re gonna go into the nitty-gritty daily stuff, they can open this straight up.
356 00:41:42.240 ⇒ 00:41:54.610 Sezim Zhenishbekova: And then, it was, like, weekly channel performance table, quarterly attribution table, weekly promo LTO dashboards, and, like, weekly mix of different things with promos, etc.
357 00:41:56.420 ⇒ 00:42:06.160 Robert Tseng: Yeah, I wanna show you something, isn’t it here? So…
358 00:42:11.000 ⇒ 00:42:18.350 Robert Tseng: this, and then… and you can go… Is it the Cruncher dashboard?
359 00:42:21.550 ⇒ 00:42:25.990 Robert Tseng: So they do have these, like, this dashboard here already.
360 00:42:25.990 ⇒ 00:42:27.080 Sezim Zhenishbekova: Oh, okay.
361 00:42:28.930 ⇒ 00:42:29.470 Sezim Zhenishbekova: Yeah.
362 00:42:29.470 ⇒ 00:42:33.670 Robert Tseng: Some weekly sales data,
363 00:42:37.110 ⇒ 00:42:42.929 Robert Tseng: Yeah, even this… I mean, this is, like, it’s incomplete, but, like, this is really…
364 00:42:43.530 ⇒ 00:42:49.080 Robert Tseng: what, like, yeah, some… someone else is kind of working on what you’re describing there, so I’m not, like, too…
365 00:42:49.080 ⇒ 00:42:49.760 Sezim Zhenishbekova: Mmm.
366 00:42:49.760 ⇒ 00:42:50.370 Robert Tseng: worried that that’s.
367 00:42:50.370 ⇒ 00:42:53.360 Sezim Zhenishbekova: Oh, you’re not too attached to it, okay, okay.
368 00:42:54.110 ⇒ 00:43:06.299 Robert Tseng: Yeah… I mean, I’m, like, looking through this now, traffic, orders… That’s why this little sys.
369 00:43:17.210 ⇒ 00:43:18.310 Sezim Zhenishbekova: She’s eating the green.
370 00:43:18.310 ⇒ 00:43:19.140 Robert Tseng: loads.
371 00:43:41.010 ⇒ 00:43:43.330 Sezim Zhenishbekova: Yeah, so this is, like…
372 00:43:43.640 ⇒ 00:43:55.669 Robert Tseng: the engineering team has, like, been building this, dashboard. I don’t think it’s, like, really being used yet. I mean, it was their response to, like.
373 00:43:56.330 ⇒ 00:44:03.349 Robert Tseng: the daily impact scorecard being so manual, so, like, they are already solving some of these problems,
374 00:44:07.280 ⇒ 00:44:16.300 Robert Tseng: I think… I still think that having a spreadsheet version is… Easier to understand, like.
375 00:44:16.510 ⇒ 00:44:17.420 Sezim Zhenishbekova: Oh, yeah.
376 00:44:20.270 ⇒ 00:44:29.390 Robert Tseng: like, rather than having, like, 10 tabs, like, I think, like, this does kind of get away from, like, the intent of, like.
377 00:44:29.770 ⇒ 00:44:37.580 Robert Tseng: just having… Total sales performance broken out by channel.
378 00:44:37.770 ⇒ 00:44:47.600 Robert Tseng: And being able to do, like, daily, weekly, monthly roll-ups, and then, like, current year versus previous year comparisons.
379 00:44:47.600 ⇒ 00:44:48.390 Sezim Zhenishbekova: Yeah.
380 00:44:48.660 ⇒ 00:44:54.620 Robert Tseng: I mean, sure, like, this tool is here, but, like, I don’t, like, I don’t even think this works, like, I’m, like, trying to…
381 00:44:54.620 ⇒ 00:44:56.040 Sezim Zhenishbekova: Yeah, yeah.
382 00:44:56.040 ⇒ 00:44:58.460 Robert Tseng: this, and so… But yeah, so I’m in my…
383 00:44:58.460 ⇒ 00:44:59.749 Sezim Zhenishbekova: Having it in both of the places…
384 00:44:59.750 ⇒ 00:45:00.380 Robert Tseng: Dashboard.
385 00:45:00.380 ⇒ 00:45:01.439 Sezim Zhenishbekova: Yep.
386 00:45:01.440 ⇒ 00:45:09.839 Robert Tseng: the dashboard’s not important, I don’t need you to build charts, like, I think… I think, I think you’re just, like, trying to build… you’re just trying to build, like, a good model. Like, that’s… that’s really good.
387 00:45:09.840 ⇒ 00:45:24.979 Sezim Zhenishbekova: Yeah, like, I want to be, like, have an executive summary of everything that’s happening, and then they go, like, as soon as they put some new numbers in, charts update, and they can get the view. But also, there was another question I asked Amber and other guys, like.
388 00:45:25.090 ⇒ 00:45:36.149 Sezim Zhenishbekova: who’s the audience, like, who is reading this? And they said that it’s mostly Robert, and then I’m like, I should ask Robert, probably, about this, like, who’s actually, like, using the data?
389 00:45:36.680 ⇒ 00:45:38.310 Sezim Zhenishbekova: In most of the cases.
390 00:45:39.100 ⇒ 00:45:44.320 Robert Tseng: Yeah, I mean, this was… I mean, this.
391 00:45:44.320 ⇒ 00:45:47.190 Sezim Zhenishbekova: Like, marketing leadership, or finance, or…
392 00:45:47.190 ⇒ 00:45:52.269 Robert Tseng: You know, this is… this is for, this is for finance and, marketing leadership.
393 00:45:55.850 ⇒ 00:45:57.330 Robert Tseng: So…
394 00:45:58.870 ⇒ 00:46:00.890 Uttam Kumaran: Hey, Robert, you mind if I use the Zoom?
395 00:46:01.710 ⇒ 00:46:02.380 Robert Tseng: Oh, yeah?
396 00:46:02.760 ⇒ 00:46:03.460 Robert Tseng: Okay. Yeah.
397 00:46:03.460 ⇒ 00:46:04.050 Sezim Zhenishbekova: You know?
398 00:46:04.420 ⇒ 00:46:08.100 Uttam Kumaran: Do you mind, or Seven, do you mind sending one, over Slack?
399 00:46:08.100 ⇒ 00:46:11.489 Sezim Zhenishbekova: Yes, yes, however, Robert, so…
400 00:46:11.490 ⇒ 00:46:12.110 Robert Tseng: Sure.
401 00:46:12.960 ⇒ 00:46:13.900 Uttam Kumaran: Thanks, Ash.