Meeting Title: Insomnia Cookies Onboarding and Reporting Sync Date: 2025-09-09 Meeting participants: Shreya Chowdhury, Robert Tseng
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1 00:01:39.960 ⇒ 00:01:41.130 Robert Tseng: Israel.
2 00:01:41.130 ⇒ 00:01:42.529 Shreya Chowdhury: Yeah, how’s it going?
3 00:01:42.870 ⇒ 00:01:44.120 Robert Tseng: Good, how are you?
4 00:01:44.120 ⇒ 00:01:45.160 Shreya Chowdhury: I’m good.
5 00:01:47.690 ⇒ 00:01:52.720 Robert Tseng: How, how was, the past week? I was outside and get to check in with you.
6 00:01:52.720 ⇒ 00:02:17.629 Shreya Chowdhury: Yeah, not too bad. Last week was mainly working on, like, internal stuff, because we were in the limbo phase. I think Uta mentioned that I was going to be onboarding to Insomnia Cookies, and then he said we’re in renewal processes, so it got pushed back. Yeah. So yeah, client work-wise, I was in a bit of a lull, because I’m still waiting to hear back from Ellie, but I’ll probably…
7 00:02:17.630 ⇒ 00:02:19.990 Shreya Chowdhury: Give them another nudge in the meeting today.
8 00:02:19.990 ⇒ 00:02:24.270 Shreya Chowdhury: But yeah, so I’ve just been working on playbooks, yeah.
9 00:02:24.270 ⇒ 00:02:30.639 Robert Tseng: Okay, cool, yeah, I think, I just put a few slots on your calendar, just…
10 00:02:30.900 ⇒ 00:02:31.420 Shreya Chowdhury: Yeah.
11 00:02:31.420 ⇒ 00:02:37.099 Robert Tseng: to try to, I don’t know, just spend as much time with you and try to plug you in to things.
12 00:02:37.100 ⇒ 00:02:38.120 Shreya Chowdhury: Appreciate that.
13 00:02:38.120 ⇒ 00:02:43.420 Robert Tseng: Yeah, I think LE-wise… I don’t know, I haven’t heard from them either. I don’t know if…
14 00:02:43.830 ⇒ 00:02:58.120 Robert Tseng: the meeting later today is just going to be internal for us to kind of just figure out what else we need to do to get done. I was hoping to wrap up with them by the end of this week, at least, or at least transition them over to… to do a renewal with them as well. So,
15 00:02:58.500 ⇒ 00:03:10.089 Robert Tseng: Yeah, I guess we’ll cover that when we get there. I think this call, I just really wanted to just get you onboarded to Insomnia, because there is, work now that we can kind of get started on.
16 00:03:11.730 ⇒ 00:03:20.790 Robert Tseng: Yeah, I know that you worked on some internal stuff, I haven’t reviewed it yet, though, so I will probably follow up after… afterwards. Maybe we’ll do our next session on that.
17 00:03:20.790 ⇒ 00:03:37.359 Shreya Chowdhury: Yeah, cool, sounds good. I’ll make, like, when I finish the tickets, I’ll just organize all of them so it’s easy for you to review. Yeah. But yeah, we can take this time to go over some of the stuff that you mentioned, like the daily impact scorecard, the performance tracker, and the ad hoc analyses.
18 00:03:38.230 ⇒ 00:03:44.100 Robert Tseng: Okay, that sounds good. I will pull up a few things, and I’ll share my screen.
19 00:03:48.810 ⇒ 00:03:52.550 Robert Tseng: So… Duh.
20 00:03:52.750 ⇒ 00:03:53.680 Robert Tseng: Then…
21 00:04:00.280 ⇒ 00:04:09.890 Robert Tseng: Okay, yeah, so I was just kind of, like, going through some, like, pretty much this is the deck that I walked you through last week, so I think this is a good place to start. I’m not going to go through everything line by line here.
22 00:04:09.890 ⇒ 00:04:22.719 Robert Tseng: But yeah, so, you know, we started off with just automating a part of their… their, marketing reporting, which is that daily scorecard. It’s a really, like, manual, cobbled-together, like, process.
23 00:04:22.960 ⇒ 00:04:31.410 Robert Tseng: That ends up kind of flowing into something that looks like…
24 00:04:35.210 ⇒ 00:04:50.710 Robert Tseng: like this. This is, like, how their team runs their operations. There’s some videos kind of floating around different places, but just figured it’d be better to just give you a walkthrough. So, as you can see, this is just, like, this, like, carve that’s just duplicated on a daily basis.
25 00:04:51.580 ⇒ 00:04:57.349 Robert Tseng: Have… like, we’re responsible for pulling data from all of these different sources now.
26 00:04:57.440 ⇒ 00:05:12.820 Robert Tseng: With the exception of, like, maybe this one, this LTO, contribution section. But as far as, like, paid media, this is, like, after spending on Google and Meta, so getting Google and Meta reporting, from, like, the… from those platforms into
27 00:05:13.660 ⇒ 00:05:19.429 Robert Tseng: There’s… yeah, into a different sheet that Casey maintains right now, that’s called blank.
28 00:05:19.700 ⇒ 00:05:21.560 Robert Tseng: It should be there for anyone.
29 00:05:22.200 ⇒ 00:05:28.130 Robert Tseng: I don’t know why it’s… hold up. Yeah, I think there’s a few looms floating out there.
30 00:05:28.820 ⇒ 00:05:38.660 Robert Tseng: Yeah, I think we need to do a better job of, like, consolidating looms and putting them in a single place, because I don’t know where they’re floating around. But I’m… yeah, so that…
31 00:05:38.890 ⇒ 00:05:42.260 Robert Tseng: That data gets put in here,
32 00:05:42.820 ⇒ 00:06:00.519 Robert Tseng: I guess, some of these other things, like own marketing, this is, like, Braze data, so Braze is, like, their CRM platform, and that, data gets pulled into here as well. FDA stands for food delivery, which is DoorDash. I mean, Grubhub spend is, like, zero right now, so it’s just DoorDash and Uber Eats.
33 00:06:00.660 ⇒ 00:06:10.190 Robert Tseng: There’s some other things, like non-core reporting, and then, they have, like, This is basically just…
34 00:06:10.780 ⇒ 00:06:15.460 Robert Tseng: sales data from, like, the previous year that’s, like, pulled into a specific format, so…
35 00:06:15.460 ⇒ 00:06:15.910 Shreya Chowdhury: Hmm.
36 00:06:15.910 ⇒ 00:06:19.220 Robert Tseng: Yeah, I mean, this is… it’s…
37 00:06:20.430 ⇒ 00:06:39.769 Robert Tseng: we had to cobble together a lot of stuff in order to, like, get this. It doesn’t… it’s not even fully automated at this point. Like, I have Casey kind of, like, spending probably 15 to 30 minutes of his day every day kind of, like, checking… checking things here. So… but at least, yeah, so this was, like, our initial, like, kind of project with them.
38 00:06:39.830 ⇒ 00:06:50.099 Robert Tseng: Their team was probably spending, like, one to two hours a day kind of updating the sheet, so to cut it down to 15 minutes, and then hopefully to automate it all is, like, kind of one of the big initiatives that we took on.
39 00:06:50.400 ⇒ 00:06:55.329 Robert Tseng: Yeah, I guess, any questions on this so far?
40 00:06:55.330 ⇒ 00:06:59.530 Shreya Chowdhury: So, this is the… is this the marketing performance tracker?
41 00:07:00.020 ⇒ 00:07:02.530 Robert Tseng: This is not. This is the Daily Impact Sport car.
42 00:07:02.530 ⇒ 00:07:03.680 Shreya Chowdhury: Okay. Yeah.
43 00:07:03.680 ⇒ 00:07:06.299 Robert Tseng: Marketing Performance Tracker is…
44 00:07:07.260 ⇒ 00:07:18.880 Robert Tseng: the same data, it’s just, like, in… it’s just tabularized, like, I… you know, this would have been… like, this makes sense to be a table in a ware… in, like, a data warehouse, but we don’t have…
45 00:07:19.520 ⇒ 00:07:35.789 Robert Tseng: they don’t really have, like, proper ETL setup or anything. Like, they do have someone that owns Azure, but we haven’t had access to it and, like, just needed to work around them. So, for now, we’re just, like, kind of keeping it all in this, like, master, like, spreadsheet.
46 00:07:35.790 ⇒ 00:07:42.359 Shreya Chowdhury: Okay, so where is this data coming from? Like, is someone manually updating it on their end and then we get it, or…
47 00:07:42.630 ⇒ 00:07:52.839 Robert Tseng: Well, now we, we have it, flowing into our own Google Sheet, and then we paste it in here. But, yeah, before we were here, someone literally just, like, keyed this in every day.
48 00:07:53.110 ⇒ 00:08:00.240 Shreya Chowdhury: Okay, but now we have a Google Sheet that, like, we’re not in charge of updating, like, someone else does it, or the data automatically flows in, basically.
49 00:08:00.240 ⇒ 00:08:04.159 Robert Tseng: Yeah. Okay. I mean, we’re in charge, we’re responsible for that.
50 00:08:04.250 ⇒ 00:08:08.289 Shreya Chowdhury: And actually, like, that’s a bulk of the questions, like.
51 00:08:08.520 ⇒ 00:08:17.399 Robert Tseng: there are just some, like, nuances of, like, when we update them, the timing’s a bit off, like, I think…
52 00:08:17.830 ⇒ 00:08:26.970 Robert Tseng: From a change management perspective, adopting our automated process has, like, been running into some, like, issues, so the stakeholders have been kind of, like.
53 00:08:27.660 ⇒ 00:08:40.839 Robert Tseng: antsy about it, and they ask questions about… and you’ll notice in the noise in the Slack channel, like, sometimes I’ll ping Casey and Amber and be like, what’s going on here? Because somebody on their side is, like, saying, our numbers are off.
54 00:08:40.940 ⇒ 00:08:51.710 Robert Tseng: they’re not necessarily off, it’s just that, we’re updating them at a different cadence than what they were used to. And so, we’re still, like, trying to find alignment there.
55 00:08:51.770 ⇒ 00:09:01.129 Robert Tseng: Like, for example, this morning’s, or yesterday’s issue was, we were updating this performance tracker probably, like.
56 00:09:01.760 ⇒ 00:09:19.610 Robert Tseng: an hour or two hours away from when we were updating the daily impact scorecard, so even though this data should be equivalent, there was, like, it was off by, you know, an X percent, and I think we didn’t have a way to explain that other than the fact that we just updated it
57 00:09:19.650 ⇒ 00:09:21.780 Robert Tseng: at different times.
58 00:09:22.200 ⇒ 00:09:36.739 Robert Tseng: Obviously, in an ideal world, like, this would be a data ware… this would be, like, a model in the data warehouse that would be the intermediary model, and it would pull data straight out of this into the final, thing, which is the data impact scorecard.
59 00:09:36.740 ⇒ 00:09:44.700 Robert Tseng: But that’s just not how we’ve coordinated this so far, so we’ll kinda… we’ll… I think we’re just gonna… we’re gonna get these types of questions.
60 00:09:46.160 ⇒ 00:09:46.850 Shreya Chowdhury: Okay.
61 00:09:47.180 ⇒ 00:09:50.040 Robert Tseng: Yeah. So, I mean, it’s like…
62 00:09:50.190 ⇒ 00:10:00.760 Robert Tseng: 90% done. I think there’s a couple sources that are not, automated yet. Facebook is not fully automated, because we’ve had trouble getting access to Facebook.
63 00:10:00.910 ⇒ 00:10:19.439 Robert Tseng: On their side, we’ve, like, done some hacky things around it, but it’s… it just requires the human in the loop still. And then, I guess on the Uber side, Uber Eats data is not automated. They don’t have an API. We’ve been building, like, an automation to, like, scrape data off of Uber’s… Uber’s website.
64 00:10:19.880 ⇒ 00:10:38.500 Robert Tseng: I don’t think that Casey’s done with that yet. So, anyway, like, this is not the main thing that you would be working on, but just giving you, like, you know, this, you know, once you enter the frame, you know, people will ask about this, and you kind of probably should understand, like, where we’re at here.
65 00:10:39.500 ⇒ 00:10:47.900 Robert Tseng: Yeah. Okay, so that’s… that’s one piece. I think there are more reports like this to automate, and I think there’s, like, a parallel effort of, like.
66 00:10:48.110 ⇒ 00:10:55.689 Robert Tseng: I want to get this out of… like, this is… I mean, I do want to move away from this, process, but… Yeah.
67 00:10:55.690 ⇒ 00:11:01.849 Shreya Chowdhury: I was gonna say, if eventually we can get the data modeled and out of Google Sheets, then it’ll probably be…
68 00:11:03.440 ⇒ 00:11:09.439 Robert Tseng: Yeah, but I think that’s not, like, the main battle I want to fight, otherwise I’ll probably bang my head into a wall.
69 00:11:09.440 ⇒ 00:11:09.820 Shreya Chowdhury: Yeah.
70 00:11:09.820 ⇒ 00:11:13.650 Robert Tseng: It’s not… of course, I’ve tried to ask them for.
71 00:11:13.650 ⇒ 00:11:14.520 Shreya Chowdhury: Yeah.
72 00:11:14.520 ⇒ 00:11:18.439 Robert Tseng: It just feels like it’s pulling teeth to even adopt any kind of automation.
73 00:11:19.840 ⇒ 00:11:35.659 Robert Tseng: But anyway, so that’s… that’s that. I think the other things that are more interesting to talk about, so as far as, like, expanding into other work, which is… I think this is a better use of our time, and I… this is where I’m trying to tap you into it. There’s a couple things that I was, like.
74 00:11:35.660 ⇒ 00:11:40.720 Robert Tseng: You’ll have access to everything here, so you can go and click through all the reports. There’s some…
75 00:11:40.830 ⇒ 00:11:57.890 Robert Tseng: you know, I basically just took, like, a day or two and just poked around at every kind of reporting they have. They have Metabase, they have Power BI, and they have, like, some other, like, spreadsheets that are floating around. So I went around… I went through it all and, like, kind of…
76 00:11:57.890 ⇒ 00:12:02.210 Robert Tseng: Understood a few things,
77 00:12:02.660 ⇒ 00:12:19.220 Robert Tseng: I think you should be… if you don’t have access to this yet, I mean, we’ll just have Rico give you access to everything. I think… what was the… I kind of did like this situational diagnosis thing, so I think this would be a good one to review, because this is my…
78 00:12:19.870 ⇒ 00:12:21.370 Robert Tseng: Point. O.
79 00:12:22.140 ⇒ 00:12:26.070 Robert Tseng: These are not my notes anymore. I think Amber might have edited them.
80 00:12:28.220 ⇒ 00:12:34.160 Robert Tseng: Okay, well, yeah, so I think this is a good starting point still, just to, like, understand the situation.
81 00:12:34.160 ⇒ 00:12:48.699 Robert Tseng: And then from there, you can move into, I guess, this engineering roadmap is, like, what Amber’s been maintaining, so this is all the automation work in detail of, like, all the different parts to this. So we’ve kind of gone through Project 1 and Project 2, so we’re kind of
82 00:12:48.850 ⇒ 00:12:51.710 Robert Tseng: somewhere between Project 2 and Project 3 at this point.
83 00:12:51.970 ⇒ 00:12:57.650 Robert Tseng: There is the… I don’t think this is the right doc.
84 00:12:58.290 ⇒ 00:13:05.109 Robert Tseng: Great. Okay, so yeah, I went through all their data, and these were the 20 questions that I came up with.
85 00:13:05.810 ⇒ 00:13:12.250 Robert Tseng: of, like, what I think is important to, answer for their business.
86 00:13:13.880 ⇒ 00:13:18.530 Robert Tseng: we’re not answering all of these right now, but I think,
87 00:13:18.980 ⇒ 00:13:26.069 Robert Tseng: hopefully, if I just kind of, like, once you kind of review those questions, you’ll get a sense of, like, what…
88 00:13:27.630 ⇒ 00:13:40.109 Robert Tseng: gaps in the data they may have currently, and what they’re not able to answer about their business, because, yeah, they’re not able to answer any of these questions right now. So, I think that’s an important document to review.
89 00:13:40.160 ⇒ 00:13:49.519 Robert Tseng: As far as onboarding questions goes, these were the questions that I kind of tried to answer with their team already, so I kind of walked through different parts, so…
90 00:13:49.520 ⇒ 00:14:02.670 Robert Tseng: I have, like, insights of things that I called out of, like, kind of how the business is doing. I took notes on definitions for, like, what some acronyms mean. I kind of called out different things about, like.
91 00:14:02.800 ⇒ 00:14:12.010 Robert Tseng: where reporting kind of seems to break down, and it has kind of screenshots of some of the main sources of reporting that I kind of already studied.
92 00:14:12.190 ⇒ 00:14:28.449 Robert Tseng: Hopefully this is, like, a smaller set for you to kind of, like, digest than, like, what they currently have. I don’t really think it’s necessary to look at everything that I looked at, so I tried to, like, take screenshots of everything that I thought was somewhat interesting or important, and kind of put it all into this doc.
93 00:14:28.670 ⇒ 00:14:39.120 Robert Tseng: So it would be… let me just do this as a, what’s… Yeah, so…
94 00:14:40.290 ⇒ 00:14:46.029 Robert Tseng: Yeah, I’m sorry that this is a bit messy, like, I kind of created these docs, and then this is all just the team.
95 00:14:46.390 ⇒ 00:14:49.010 Robert Tseng: Yeah.
96 00:14:50.000 ⇒ 00:14:55.700 Robert Tseng: So… What else can I say here? So, yeah, I took those questions.
97 00:14:55.860 ⇒ 00:15:05.720 Robert Tseng: And kind of just with some of the context of what I knew their priorities were, I kind of built out this deck roadmap, which is probably a lot much cleaner.
98 00:15:05.720 ⇒ 00:15:23.559 Robert Tseng: it kind of shares more clearly, like, kind of the OKRs that we have for our team and what we’re going to go after. So, these have all been signed off on, like, this is… this is the roadmap. It hasn’t been translated into tickets or whatever, but from, like, a high-level perspective, like, this is what the CMO and the VP of Marketing understand that I’m…
99 00:15:23.560 ⇒ 00:15:25.910 Robert Tseng: That our team is working on now. So…
100 00:15:25.910 ⇒ 00:15:32.999 Robert Tseng: Yeah, so I think this is… this is probably the… the cleanest version of, like, what we’re… what we’re doing.
101 00:15:33.310 ⇒ 00:15:35.790 Robert Tseng: Yeah.
102 00:15:36.440 ⇒ 00:15:40.599 Robert Tseng: So, I guess I’ll spend a bit more time here.
103 00:15:41.370 ⇒ 00:15:51.749 Robert Tseng: Yeah, so all these data polls we talked about, replicating ads kind of thing. One source that we haven’t talked… that we haven’t really done much in is their loyalty program. It’s called Punch.
104 00:15:53.540 ⇒ 00:16:08.049 Robert Tseng: I think this is something that they will want to better understand, so I think that’s a source that I’ll probably spend more time in trying to, like, tap into. Like, I don’t want you spending your time, like, getting access to things or whatever, like, I…
105 00:16:08.050 ⇒ 00:16:13.799 Robert Tseng: I’ll probably take a first pass at, like, figuring out what we… what interesting things we can get out of this.
106 00:16:13.830 ⇒ 00:16:24.620 Robert Tseng: But then, I think, like, the need is to have some regular analysis, To share with them.
107 00:16:24.880 ⇒ 00:16:26.329 Robert Tseng: Yeah, I, I think…
108 00:16:26.400 ⇒ 00:16:33.659 Robert Tseng: There’s… there is engineering work that we are doing that’s, like, automations, data modeling, whatever, like, that’s happening slowly.
109 00:16:33.660 ⇒ 00:16:52.340 Robert Tseng: There’s reporting work, where you’re gonna come across reports, once you go through the inventory of things that I kind of already called out here. You’ll see, like, what reports make sense and don’t make sense. And then there’s, like, this middle piece that is, like, just giving them some insight. Like, obviously, if I’m having such a hard time.
110 00:16:52.340 ⇒ 00:16:59.079 Robert Tseng: like, understanding, like, what their data is actually saying, there’s no way their team understands what is going on either, so…
111 00:16:59.080 ⇒ 00:17:23.110 Robert Tseng: I just want to be able to weekly have a conversation with the marketing leadership and give them some nuggets of, like, what… like, of what they should… what should they… what they should grasp onto. So, I think that’s kind of where I’d like to start you, and we’ll… we’ll have some overlap. Like, engineering and reporting, like, all kind of come from that angle, and then you… you kind of come from the other side, where you’re, like.
112 00:17:23.109 ⇒ 00:17:29.079 Robert Tseng: Working backwards from, like, some of the main questions, and then trying to use existing reporting to answer them.
113 00:17:29.450 ⇒ 00:17:33.320 Robert Tseng: That’s kind of how I think about how we would be working together on this.
114 00:17:33.770 ⇒ 00:17:34.410 Shreya Chowdhury: Yeah.
115 00:17:35.280 ⇒ 00:17:35.950 Robert Tseng: Okay.
116 00:17:36.380 ⇒ 00:17:40.890 Robert Tseng: Yeah, let’s see…
117 00:17:43.150 ⇒ 00:17:50.270 Robert Tseng: Okay, so that leads me to this doc, which is the Isomic Project Expansion thing, so…
118 00:17:50.660 ⇒ 00:17:54.310 Robert Tseng: Yeah, I guess…
119 00:17:57.630 ⇒ 00:18:03.199 Robert Tseng: a couple of the key questions that were asked last week. One is, like, okay,
120 00:18:05.510 ⇒ 00:18:13.680 Robert Tseng: This month is… they’re… they’re not doing… they haven’t been doing well the past couple months, and…
121 00:18:14.720 ⇒ 00:18:21.920 Robert Tseng: they’re trying to understand at a campaign level, like, what they could do better.
122 00:18:22.900 ⇒ 00:18:37.759 Robert Tseng: Yeah, I think we’re not responsible for the creatives, we’re not coming up with new campaign ideas, but what we can do is we can look back at campaigns that were run at this time last year, and then we can make recommendations on
123 00:18:37.980 ⇒ 00:18:45.219 Robert Tseng: what good performance was, what we should replicate and expand on, etc. I think the problem…
124 00:18:45.410 ⇒ 00:18:57.729 Robert Tseng: with their understanding of campaign performance is that they look at a very small set of performance metrics, which have just primarily been,
125 00:18:57.850 ⇒ 00:19:01.299 Robert Tseng: If you look at the scorecard, they just look at, like.
126 00:19:01.460 ⇒ 00:19:16.469 Robert Tseng: I don’t know, campaign spend, like, revenue, something about conversion rates and open rates. Obviously, this is for email and push notifications, but it’s purely transactional metrics, and I think there is a wider range of
127 00:19:17.010 ⇒ 00:19:26.970 Robert Tseng: campaign performance metrics that they should be looking at when they’re evaluating the performance of a campaign. So, there are things like
128 00:19:31.630 ⇒ 00:19:38.989 Robert Tseng: And I guess I don’t have that full list for you, so I think that’s part of the discovery exercise to figure out, like, okay, well, how do we actually
129 00:19:39.100 ⇒ 00:19:43.320 Robert Tseng: how do we go about reporting on campaign performance? Like.
130 00:19:43.450 ⇒ 00:19:59.160 Robert Tseng: If this is their… if this is the current… oops, their… if this report is, like, their current understanding of, like, how to measure campaign performance, they’re only looking at these things, which is just platform, you know, spend, and, like, some basic conversion things.
131 00:19:59.190 ⇒ 00:20:12.620 Robert Tseng: But, you know, they’re… but I know that from looking at their data, we have, we can look at social… social data, like mentions, like social listening, or whatever. We can look at, impressions,
132 00:20:12.710 ⇒ 00:20:26.159 Robert Tseng: Traffic to website, store visits, like, there’s… there’s other, like, earlier signals before, purchases that we can probably tap into to also, like, have a more holistic
133 00:20:26.360 ⇒ 00:20:37.289 Robert Tseng: view of… of… of campaign performance. So, I think that’s one ask there, to kind of, like, kind of just think through, like, what is… what is that set of…
134 00:20:37.780 ⇒ 00:20:43.829 Robert Tseng: Metrics that we should actually be, reporting on when we’re trying to evaluate campaign performance.
135 00:20:44.470 ⇒ 00:20:48.300 Robert Tseng: And then the second part is…
136 00:20:48.880 ⇒ 00:20:51.979 Robert Tseng: It’s known across the company that,
137 00:20:52.330 ⇒ 00:20:57.650 Robert Tseng: Sales are down, but new sales growth… new store growth is up.
138 00:20:58.950 ⇒ 00:21:17.569 Robert Tseng: and yeah, it’s kind of a multimodal business, right? Like, they started off as, like, in-store, then they also have, like, delivery now on the food delivery side, but even as much as, like, a lot of e-com and food delivery sales are kind of up and driving business forward, I don’t think it offsets the losses that they’re taking on their stores. And so.
139 00:21:17.570 ⇒ 00:21:24.609 Robert Tseng: Yeah, I kind of developed a kind of a point of view if you look through some of the other docs that I had pointed out.
140 00:21:24.620 ⇒ 00:21:40.110 Robert Tseng: on where I see the trends going for, like, their store performance versus FDA versus e-comm. But yeah, I think they don’t have a clear understanding of, like, how marketing efforts are really driving, like.
141 00:21:40.780 ⇒ 00:21:42.599 Robert Tseng: perform, like,
142 00:21:42.750 ⇒ 00:21:51.540 Robert Tseng: how they’re driving sales across all of these different, these different channels. So, I think, to me, the core questions are, like.
143 00:21:51.960 ⇒ 00:22:00.930 Robert Tseng: how does new store growth offset sales decline across the portfolio? I wouldn’t say just new store growth. New store growth, FDA, e-comm.
144 00:22:01.330 ⇒ 00:22:08.050 Robert Tseng: Yeah, like, if these are our leading, like, growing channels, like, how are they…
145 00:22:08.150 ⇒ 00:22:27.199 Robert Tseng: how are they offsetting, the decline, like, that we’re… that we’re experiencing? Like, I don’t think there’s a clear point of view on that. And, well, like, what levers can we pull to, like, address the… the decline of sales in mature growth stage?
146 00:22:28.870 ⇒ 00:22:34.709 Robert Tseng: They don’t… they don’t use these terms, it’s actually called something else, it’s in the acronyms list that, source.
147 00:22:34.890 ⇒ 00:22:46.739 Robert Tseng: So, yeah, I don’t think the marketing team understands, like, how their work really impacts this. So, I would say maybe this is actually less urgent, because this is, like, a bigger question.
148 00:22:47.190 ⇒ 00:23:04.820 Shreya Chowdhury: Yeah, I was gonna say, I would probably treat each of these, like, like an ad hoc analysis. I think the first one alone will probably be, like, it would take, like, at least a day to look into, and put together, like, a small write-up or something on that one. But I can start with…
149 00:23:05.150 ⇒ 00:23:11.620 Shreya Chowdhury: Yeah, I can go ahead and make tickets for each one of these, and then start with whichever one we feel is most urgent.
150 00:23:12.110 ⇒ 00:23:22.440 Robert Tseng: Yeah, that sounds good. I think… so yeah, I think the… this is, like, kind of the main thing. I think this would be a great way to introduce you to the CMO next week.
151 00:23:22.440 ⇒ 00:23:22.790 Shreya Chowdhury: Okay.
152 00:23:22.790 ⇒ 00:23:39.130 Robert Tseng: Yeah, once we have, like, we’ve structured, like, okay, great, we know how to… here’s a… here’s how you should be analyzing campaign analysis, like, you know, here are our considerations, and we’ll… we’ll work together on this, like, I don’t think there’s, like, an urgent need to get an answer this week for this, but this is, like.
153 00:23:39.220 ⇒ 00:23:52.490 Robert Tseng: I would like to kick into motion, like, every… like, kind of moving forward, on a weekly basis, we are reading out something to the marketing team in a format that they can start to consume and better understand, like, what forms looks like.
154 00:23:52.660 ⇒ 00:23:56.149 Robert Tseng: But there are other, like, ad hoc things, but yeah, these are all…
155 00:23:57.460 ⇒ 00:24:00.790 Robert Tseng: Yeah, I mean, these are all the analysis needs, so maybe I want to say analysis needs.
156 00:24:01.050 ⇒ 00:24:04.289 Robert Tseng: But yeah, so they are at all ad hoc, I suppose, for now.
157 00:24:04.290 ⇒ 00:24:24.439 Robert Tseng: Yeah, there are, like, random things that they launch, so it is kind of, like, they’re just, like, vibe marketers right now, honestly. Like, when someone has an idea, they just, like, fire it away, and then they just launch something, and it’s kind of just, like, very haphazard. So, for example, like, two weeks ago, they launched this, like, random free cookie giveaway on this date.
158 00:24:24.440 ⇒ 00:24:26.459 Robert Tseng: And then they just, like, pinged
159 00:24:26.460 ⇒ 00:24:36.120 Robert Tseng: me to frantically go and, like, analyze something. I’m like, well, how did it… how did it do? Did it actually work? You know, so, like, that’s… that’s, like, part of the…
160 00:24:36.130 ⇒ 00:24:42.909 Robert Tseng: the… what we’re gonna get from them as well. We’re… they’re going to, like, randomly launch things and want to understand, like.
161 00:24:42.940 ⇒ 00:24:52.480 Robert Tseng: well, how was the performance of that… of that campaign? So, I think just… I’m just putting this there to, like, expect that this would… would be coming.
162 00:24:52.690 ⇒ 00:24:57.709 Robert Tseng: it hasn’t been that frequent, but I would say, like, every other week, I get, like, a random, like.
163 00:24:59.060 ⇒ 00:25:01.489 Robert Tseng: A request that’s something like this.
164 00:25:03.310 ⇒ 00:25:04.100 Shreya Chowdhury: Okay.
165 00:25:04.100 ⇒ 00:25:20.629 Robert Tseng: Yeah. Which I think that answering this, or having this in place will help us to better, like, also handle this as well. Yeah, and that this is maybe, like, the month-long, kind of question that we can kind of, like, build up some…
166 00:25:20.860 ⇒ 00:25:29.439 Robert Tseng: like, anticipation for. There’s probably some other, like, subset… subsidiary questions that we have to, like, answer before we can really, kind of answer this.
167 00:25:31.110 ⇒ 00:25:42.800 Robert Tseng: But yeah, so I think, like, anyway, like, hopefully that’s enough to kind of get you started, digging into things. But yeah, as far as, like, roadmap-wise and tickets.
168 00:25:42.980 ⇒ 00:25:47.549 Robert Tseng: These are all the, like, Tasks that were named.
169 00:25:47.660 ⇒ 00:26:05.990 Robert Tseng: I don’t necessarily think they all help drive towards these objectives, but they were, like, kind of mentioned, and so I think we’re just gonna also put these on the roadmap, and we may or may not actually get to them. A couple things that we probably would do this…
170 00:26:06.290 ⇒ 00:26:07.819 Robert Tseng: promo planning.
171 00:26:08.270 ⇒ 00:26:13.539 Robert Tseng: Yeah, this is like a ritual that they’ll probably start, I don’t know when, probably next week.
172 00:26:13.540 ⇒ 00:26:33.389 Robert Tseng: I think it would be a good place for us to… like, this is, like, where across the marketing team, they are talking about their, like, calendar, promotional calendar for the next month, I suppose. So, I think that’d be good for us to be on that. So, once I get more details on that, I’ll probably add us to that meeting.
173 00:26:33.820 ⇒ 00:26:37.679 Robert Tseng: Yeah, this weekly campaign performance insights thing, I think.
174 00:26:37.930 ⇒ 00:26:52.260 Robert Tseng: I don’t know, I think this is something that Amber put together. I think this is really just my… yeah, like, what… this is kind of what we got going on there. There is one person that we will have to meet with, which is Bernie.
175 00:26:52.400 ⇒ 00:26:58.869 Robert Tseng: yeah, I think she’s probably, like, kind of a SME on their side that will…
176 00:26:59.310 ⇒ 00:27:08.710 Robert Tseng: help us answer questions if we don’t know what we’re looking at, because, yeah, obviously the CMO’s not gonna really answer a lot of our tactical questions.
177 00:27:10.890 ⇒ 00:27:16.790 Robert Tseng: Yeah, so anyway, I’ll let you kind of decide how much… how you want to arrange these things. Yeah.
178 00:27:16.790 ⇒ 00:27:30.529 Shreya Chowdhury: like, a lot of those look like longer, like, epics or projects, so I don’t know if they would be easily completed in, like, one… like, probably worth a lot more points as far as linear tickets go, but I think those can probably, like.
179 00:27:30.660 ⇒ 00:27:38.119 Shreya Chowdhury: while I’m trying to answer these questions, I’ll have more answers to these bigger ones, or might be able to make progress along the way.
180 00:27:38.460 ⇒ 00:27:44.559 Shreya Chowdhury: And, like, yeah, if we need to reprioritize and we realize, like, we need to do more…
181 00:27:44.830 ⇒ 00:27:53.000 Shreya Chowdhury: of one sooner than the other, then we can come back to it. I think for right now, the one I’ll start with is probably the…
182 00:27:53.170 ⇒ 00:28:06.209 Shreya Chowdhury: the first one, like, the, analysis on campaigns that we ran, and what we should do going forward. Yeah, I’ll probably try and have, like, a draft or, like, something to talk about and read out by the end of the week.
183 00:28:08.770 ⇒ 00:28:20.599 Robert Tseng: Cool. Yeah, I think that’s probably the best use of your time, because you’ll better understand, like, marketing activities. So, I know this is just, like, you’ll have access to this performance tracker, but it’s all… yeah, I mean…
184 00:28:20.790 ⇒ 00:28:24.910 Robert Tseng: We’re just looking at, like, September 2024, like, I don’t know.
185 00:28:32.730 ⇒ 00:28:46.790 Robert Tseng: Yeah, even, like, just getting a sense of, like, okay, these are all the things that were run in September. Like, I don’t think the scorecard really goes back to 2024, so you wouldn’t be able to get, like, a quick view of this.
186 00:28:46.790 ⇒ 00:28:55.749 Robert Tseng: in terms of, like, all of their sales and comps and everything, but, yeah, I think this is kind of, like, you have to structure your own
187 00:28:55.780 ⇒ 00:29:06.479 Robert Tseng: like, approach to understand, like, okay, now, like, these are all the things that were run in September and October, here’s what we did try last year, we didn’t try this year.
188 00:29:06.480 ⇒ 00:29:19.819 Robert Tseng: you know, for the things that we did replicate, like, we didn’t really do… like, they didn’t perform as well, and, like, maybe we have… we’ll have some room to, like, figure out why, but, yeah, I think, like, it’s kind of…
189 00:29:20.070 ⇒ 00:29:23.420 Robert Tseng: Just gonna be this type of work for now.
190 00:29:23.420 ⇒ 00:29:24.290 Shreya Chowdhury: I was, like…
191 00:29:24.460 ⇒ 00:29:35.899 Shreya Chowdhury: just very, at a high level, roughly determining, like, what went well, what didn’t. Would you say this is the main data to leverage to look at success of the campaigns? Or…
192 00:29:36.280 ⇒ 00:29:36.910 Shreya Chowdhury: Is there…
193 00:29:36.910 ⇒ 00:29:49.889 Robert Tseng: This is their understanding of how success is measured right now. They only look at this stuff right now, so… and this is… and this is from Bray specifically, so it’s only email, SMS, and push notifications.
194 00:29:50.050 ⇒ 00:29:54.029 Robert Tseng: It doesn’t include, like, ad data, so, like, there’s…
195 00:29:54.360 ⇒ 00:29:56.830 Robert Tseng: You know, we do want to look at across
196 00:29:57.230 ⇒ 00:30:07.330 Robert Tseng: across channels, like, how paid did, how did, like, I guess, yeah, like, own channels or Braze, how do we deal with Braze?
197 00:30:07.530 ⇒ 00:30:14.009 Robert Tseng: Fda, we don’t have to pay attention to that so much, because they didn’t… they didn’t start doing this until this year.
198 00:30:14.240 ⇒ 00:30:22.520 Robert Tseng: Yeah, so I would say if you want to limit our search, like, we’ll just start with, Braze and paid media for now.
199 00:30:23.120 ⇒ 00:30:30.049 Shreya Chowdhury: Okay, cool. That sounds good. The other thing, can you point me to…
200 00:30:30.230 ⇒ 00:30:33.849 Shreya Chowdhury: Where the sales data is, exactly.
201 00:30:34.540 ⇒ 00:30:39.910 Robert Tseng: Yeah, so that’s kind of hard to say, because,
202 00:30:40.920 ⇒ 00:30:46.090 Robert Tseng: Yeah, they have Power BI. I mean, I’ll send you this set of, like, tab.
203 00:30:47.440 ⇒ 00:30:59.279 Shreya Chowdhury: Yeah, I was just gonna say, I was wondering if, like, we could possibly map sales around the time, or, like, just following, like, each of the promotional campaigns to see, like, which ones worked the best.
204 00:30:59.850 ⇒ 00:31:08.410 Robert Tseng: Yeah, I… I think that… that’s… that makes sense. I think there’s, there’s a Power BI report, I just… I just don’t trust it. So,
205 00:31:08.560 ⇒ 00:31:19.929 Robert Tseng: Noted. Yeah, I think, that directionally, you may get a sense of, like, kind of how it went, so I’ll still… you’ll still get access to Power BI and stuff, but,
206 00:31:20.100 ⇒ 00:31:28.520 Robert Tseng: Yeah, I think they’re… they literally just sent me, like, A daily report from this…
207 00:31:29.180 ⇒ 00:31:40.750 Robert Tseng: Yeah, they’re… this is, like, they just send a daily report, and, like, obviously, I have not, but I’ve only received, like, 30 of these, so, like, this won’t tell you anything about last…
208 00:31:41.030 ⇒ 00:31:51.520 Robert Tseng: year, but this is how their team consumes sales data currently. Like, the finance function produces this spreadsheet.
209 00:31:51.980 ⇒ 00:31:54.600 Robert Tseng: we won’t.
210 00:31:56.300 ⇒ 00:31:57.420 Robert Tseng: And…
211 00:32:06.750 ⇒ 00:32:08.389 Robert Tseng: Yeah, like,
212 00:32:08.580 ⇒ 00:32:27.350 Robert Tseng: total sales and everything, like, you get a sense of, okay, for stores, like, this is what it was this year compared to last year, for retail, for delivery, like, and then I guess there’s all these other tabs with this data, but we don’t have access to this raw source. This is all, this is all, this is all related.
213 00:32:27.350 ⇒ 00:32:36.570 Shreya Chowdhury: But that’s okay, just to see, like, a rough, like, just, you know, for our own, like, analysis. In that one, so, when it says last year,
214 00:32:39.310 ⇒ 00:32:41.969 Shreya Chowdhury: So, if we were to look at, like.
215 00:32:45.660 ⇒ 00:32:50.150 Shreya Chowdhury: So this would be around… this is, like, 2024 data then, right? That column right there?
216 00:32:50.310 ⇒ 00:32:52.149 Robert Tseng: Yes, this is 2024, yeah.
217 00:32:52.150 ⇒ 00:32:58.380 Shreya Chowdhury: Okay, and then, did you say we have this… we have 30 of these? So, like, we have one for each month, or is it, like…
218 00:32:58.380 ⇒ 00:33:00.670 Robert Tseng: Like, every day they send… they send me this, like.
219 00:33:00.670 ⇒ 00:33:01.150 Shreya Chowdhury: It’s just like…
220 00:33:01.150 ⇒ 00:33:01.730 Robert Tseng: adjusted for.
221 00:33:01.730 ⇒ 00:33:04.900 Shreya Chowdhury: Do you have one for every day, then?
222 00:33:04.900 ⇒ 00:33:05.650 Robert Tseng: Yes.
223 00:33:06.000 ⇒ 00:33:06.790 Shreya Chowdhury: Okay.
224 00:33:07.270 ⇒ 00:33:11.579 Shreya Chowdhury: So, in theory, I could reverse engineer, like.
225 00:33:12.190 ⇒ 00:33:20.390 Shreya Chowdhury: like, I don’t know, like, a really rough, like, spreadsheet or Google Sheet, whatever, and just have daily sales data from 2024.
226 00:33:20.810 ⇒ 00:33:27.900 Robert Tseng: Yeah, I… I would rather… Yeah, you could, that would be pretty rough, but .
227 00:33:27.900 ⇒ 00:33:48.600 Shreya Chowdhury: Well, I’m not necessarily saying we should use it to make, like… like, it’s not the most robust data, or, like, I don’t think we should use it to, like, as the end-all, be-all, but it might be good just to see, like, for each promotion that we ran last year, what were the sales directly, like, the sales data directly following it. I’m not saying, like, I trust these numbers to a T, but…
228 00:33:48.600 ⇒ 00:33:54.080 Robert Tseng: I trust these numbers, or at least this is, you know, this is what they report, like, this is what the financing.
229 00:33:54.080 ⇒ 00:34:02.179 Shreya Chowdhury: Yeah, so if we trust, then I think, like, maybe I would go that route, unless you have hesitations about that, but I think that would be a good thing to see.
230 00:34:02.920 ⇒ 00:34:07.879 Robert Tseng: Yeah, no, I think that’s… that’s fair. I think, even if we don’t do it for, like.
231 00:34:07.970 ⇒ 00:34:18.570 Robert Tseng: a full month, even if you just did this exercise for the past 2 weeks, I think that would be valuable, just so you can, like, kind of, like you said, reverse engineer, like, some sense of, like, what…
232 00:34:18.639 ⇒ 00:34:34.279 Robert Tseng: this year versus last year was. I think what would be a better… like, I would like to connect you to the finance… they have a finance analyst on their side, and, like, he’s not been very helpful in giving stuff, but, like, we kind of need to lean on them to give us.
233 00:34:34.280 ⇒ 00:34:34.900 Shreya Chowdhury: Okay.
234 00:34:34.900 ⇒ 00:34:37.220 Robert Tseng: more access, so I think,
235 00:34:37.570 ⇒ 00:34:39.550 Robert Tseng: Yeah, I guess it’s kind of,
236 00:34:40.270 ⇒ 00:34:50.919 Robert Tseng: you operate under… like, I… I don’t want you spending so much time doing this type of, like, stitching, because it’s not really worth your time.
237 00:34:50.929 ⇒ 00:34:56.299 Shreya Chowdhury: No, that was just… mostly it was gonna be, like, analyzing the data we have. I just wanted, like.
238 00:34:56.769 ⇒ 00:35:09.239 Shreya Chowdhury: to find… like, because I think in the two spreadsheets you showed me before, they’re good, but I don’t see, like, a great, like, key indicator of, like, how we would measure the success of that campaign in terms of sales.
239 00:35:10.350 ⇒ 00:35:11.160 Robert Tseng: Yeah.
240 00:35:12.030 ⇒ 00:35:20.069 Robert Tseng: Well, I mean… Sales is really just, like, they have this.
241 00:35:22.490 ⇒ 00:35:24.780 Shreya Chowdhury: Well, they have the revenue, right? Like, the…
242 00:35:24.780 ⇒ 00:35:27.100 Robert Tseng: Yeah, yeah, they have the revenue column.
243 00:35:27.460 ⇒ 00:35:28.170 Shreya Chowdhury: Okay.
244 00:35:29.630 ⇒ 00:35:37.840 Shreya Chowdhury: And then, do we know, like, what that includes? Like, what sources of revenue that includes, or is it all, like, everything?
245 00:35:37.840 ⇒ 00:35:43.049 Robert Tseng: Yeah, no, this is just, like, revenue associated with this email campaign. So this is just, like, at a campaign level.
246 00:35:43.050 ⇒ 00:35:44.609 Shreya Chowdhury: Yeah, yeah. Oh, right, right, yeah, I see that.
247 00:35:44.610 ⇒ 00:35:45.210 Robert Tseng: Yeah.
248 00:35:45.210 ⇒ 00:35:47.449 Shreya Chowdhury: So that’s why I asked, because I was…
249 00:35:47.870 ⇒ 00:35:50.110 Shreya Chowdhury: Like, trying to see if, like.
250 00:35:50.600 ⇒ 00:36:02.389 Shreya Chowdhury: there’s a way we could directly map, like, hey, we did this thing, did it lead to more sales? Which is the very, like… I mean, that’s, like, the very core business metric.
251 00:36:02.390 ⇒ 00:36:02.800 Robert Tseng: Yeah.
252 00:36:02.800 ⇒ 00:36:03.490 Shreya Chowdhury: Damn.
253 00:36:07.450 ⇒ 00:36:16.919 Robert Tseng: Yeah, I think there, you know, within the Power BI stuff that I screenshotted, like, there is some of that there, so… but, like,
254 00:36:17.420 ⇒ 00:36:18.215 Robert Tseng: So…
255 00:36:20.400 ⇒ 00:36:27.209 Robert Tseng: Yeah, they have this, like, sales and transaction summary dash that, like, probably is helpful. This is store-level reporting.
256 00:36:27.630 ⇒ 00:36:32.509 Robert Tseng: Graphic sources… this is product-level revenue data.
257 00:36:32.980 ⇒ 00:36:39.630 Robert Tseng: And there is… I mean, I don’t believe this, this is… but this is, like, their…
258 00:36:40.000 ⇒ 00:36:46.450 Robert Tseng: This is the extent of, like, their sales funnel, so I don’t really… I mean, anyway, it’s not really that much… not that interesting right now.
259 00:36:48.250 ⇒ 00:37:07.010 Robert Tseng: Yeah, a lot of store-level, like, performance data, but yeah, I mean, I hear, like, yeah, just getting, like, sales data over time, like, the fact that they don’t have that readily accessible is kind of ridiculous to me, but, yeah, we’re kind of, like, stuck to with these, like, random spreadsheets.
260 00:37:07.380 ⇒ 00:37:10.240 Robert Tseng: Yeah, I think it’s worth asking, yeah.
261 00:37:10.240 ⇒ 00:37:15.790 Shreya Chowdhury: I think that they just don’t have it readily available, or they do have it in some sense, we just don’t have access to it.
262 00:37:15.790 ⇒ 00:37:20.680 Robert Tseng: Yeah, they do have it, it’s just, like, this is probably the most… how siloed…
263 00:37:20.890 ⇒ 00:37:30.570 Robert Tseng: client we’ve ever worked with, like, nobody talks to each other. It’s… it’s insane. Like, I cannot believe they are… they have… they sell 600 million a year in cookies, and they… they cannot, like.
264 00:37:30.570 ⇒ 00:37:33.470 Shreya Chowdhury: Are they… are they remote? Like, is there corporate remote?
265 00:37:33.470 ⇒ 00:37:40.130 Robert Tseng: No, they have an office in Philadelphia, I guess, headquarters, everyone’s there. Yeah.
266 00:37:40.130 ⇒ 00:37:44.890 Shreya Chowdhury: I would expect that more in, like, a remote working environment, but that’s interesting.
267 00:37:45.140 ⇒ 00:37:45.770 Robert Tseng: Yeah.
268 00:37:45.960 ⇒ 00:37:51.059 Robert Tseng: Yeah, so anyway, like, I think as…
269 00:37:51.900 ⇒ 00:38:00.339 Robert Tseng: We’re obviously solving more than just a data problem here, like, there’s communication that we’re… you know, and all of these things, we’re just trying to, like.
270 00:38:01.990 ⇒ 00:38:13.010 Robert Tseng: We’re trying to change a lot of things, and I think it’s… it’s, kind of picking and choosing our battles on, like, not getting hung up on, like.
271 00:38:13.570 ⇒ 00:38:21.550 Robert Tseng: like, I’ve demanded things from their team and… for a month now. They haven’t given… the fact that they haven’t given me sales data in a month is kind of crazy to me, but…
272 00:38:21.570 ⇒ 00:38:35.669 Robert Tseng: So as much as I can just focus on being helpful to the marketing team, the CMO, like, thinks that what we’ve done already is game-changing, because it’s saving her team 2 hours a day or whatever. And it’s just, like, trying to keep
273 00:38:35.740 ⇒ 00:38:39.570 Robert Tseng: Like, grounded in who our main stakeholder is.
274 00:38:39.570 ⇒ 00:38:57.239 Robert Tseng: if we don’t have perfect sales data, we don’t… like, that’s fine. I think there are other ways for us to, like, assess performance and impact the marketing team still, even without having the exact sales data. So, I think that’s… there’s some creativity that we have to use there to think through that.
275 00:38:57.240 ⇒ 00:39:02.989 Shreya Chowdhury: Fair enough. I’ll take a crack at this and then, let you know what I come up with.
276 00:39:03.580 ⇒ 00:39:05.580 Shreya Chowdhury: Yeah.
277 00:39:06.210 ⇒ 00:39:24.369 Robert Tseng: Okay, cool. Yeah, let me know if you have any questions. I know this is, like, pretty open-ended, so you’ll… I mean, obviously you’ll want access to things, and hopefully those docs were a good starting point, and I think now that you’re in this channel, like, if there’s anything else that’s, like,
278 00:39:24.810 ⇒ 00:39:28.259 Robert Tseng: I’ve shared various looms in here.
279 00:39:28.690 ⇒ 00:39:32.700 Robert Tseng: Yeah, sorry, I know this is pretty noisy. So…
280 00:39:32.700 ⇒ 00:39:34.130 Shreya Chowdhury: Okay.
281 00:39:34.130 ⇒ 00:39:34.650 Robert Tseng: Yeah.
282 00:39:34.650 ⇒ 00:39:44.920 Shreya Chowdhury: I’ll do, like, a… I don’t know if I’ll be… like, I’ll go through every single one of those, but I’ll just start… Yeah, you shouldn’t, yeah. …like, what I’m working on. Really quick…
283 00:39:45.200 ⇒ 00:39:45.530 Robert Tseng: Yeah.
284 00:39:45.530 ⇒ 00:39:51.439 Shreya Chowdhury: before, I know we’re almost out of time. Are you gonna be in the LA Brainforge check-in today, or did you want me to.
285 00:39:51.440 ⇒ 00:39:56.180 Robert Tseng: Yeah, I’ll be there. I think it’s just gonna be us, like, I don’t think their team is sitting.
286 00:39:56.710 ⇒ 00:39:59.990 Shreya Chowdhury: Because Zoran is not going to be here, I don’t think.
287 00:40:00.280 ⇒ 00:40:06.819 Shreya Chowdhury: But they finally commented on the spreadsheet and gave some feedback, like, a couple hours ago, so…
288 00:40:06.820 ⇒ 00:40:07.820 Robert Tseng: Oh, they did.
289 00:40:07.820 ⇒ 00:40:13.479 Shreya Chowdhury: yeah, I don’t know if I’ll have time to go through it in the next 15 minutes, but,
290 00:40:14.690 ⇒ 00:40:15.370 Shreya Chowdhury: Yeah.
291 00:40:16.110 ⇒ 00:40:21.970 Shreya Chowdhury: They did that, like, this morning at, like, 6 or 7, or 6 a.m. my time.
292 00:40:21.970 ⇒ 00:40:28.280 Robert Tseng: Yeah. No, no, I’m gonna tell them they’re not joining our call, like, it’ll just be an internal thing, so…
293 00:40:28.280 ⇒ 00:40:34.040 Shreya Chowdhury: Unless they have anything to talk about, I truthfully don’t have much to present.
294 00:40:34.040 ⇒ 00:40:35.229 Robert Tseng: Yeah, yeah, yeah.
295 00:40:35.570 ⇒ 00:40:38.510 Robert Tseng: Okay, I’ll let Allison know to not join, yeah.
296 00:40:38.880 ⇒ 00:40:52.099 Shreya Chowdhury: Yeah, I mean, it’s up to you. If she wants to, I don’t have a problem with it, if there’s anything she wants to talk through, even in that talk, but my plan was, like, now that I have feedback from them, I’m just gonna go through and map out, like, what the data flow is going to look like.
297 00:40:52.930 ⇒ 00:40:53.530 Robert Tseng: Okay.
298 00:40:54.500 ⇒ 00:40:55.250 Robert Tseng: Yep.
299 00:40:55.550 ⇒ 00:40:57.510 Robert Tseng: Alright, well, I’ll follow up with her right now.
300 00:40:57.510 ⇒ 00:40:59.330 Shreya Chowdhury: Alright, cool. Sounds good. Thank you.
301 00:40:59.330 ⇒ 00:41:00.700 Robert Tseng: Okay, thanks.