Meeting Title: Eden Project Refill Orders Analysis Date: 2025-12-17 Meeting participants: Robert Tseng, Henry Zhao, Sezim Zhenishbekova, Elizah Joy, Amber Lin, Rico Rejoso, Zoran Selinger
WEBVTT
1 00:01:07.750 ⇒ 00:01:08.440 Robert Tseng: Oops.
2 00:01:09.550 ⇒ 00:01:10.940 Henry Zhao: Hey, are you feeling better?
3 00:01:11.830 ⇒ 00:01:16.090 Robert Tseng: I’m okay, but I’m gonna stay camera off.
4 00:01:17.310 ⇒ 00:01:18.140 Robert Tseng: Yeah.
5 00:01:21.350 ⇒ 00:01:24.370 Robert Tseng: Can you forward me the email that says I’m sent, Mitesh?
6 00:01:25.960 ⇒ 00:01:27.379 Henry Zhao: I think you’re copied on it.
7 00:01:28.510 ⇒ 00:01:29.390 Robert Tseng: Which email?
8 00:01:30.460 ⇒ 00:01:31.760 Henry Zhao: Forge, you know.
9 00:01:32.110 ⇒ 00:01:34.960 Robert Tseng: I didn’t get anything.
10 00:01:36.020 ⇒ 00:01:37.979 Henry Zhao: Yeah, I’m gonna give… I’m giving her some feedback on it.
11 00:01:41.730 ⇒ 00:01:43.059 Henry Zhao: I’ll forward it again.
12 00:01:43.660 ⇒ 00:01:49.760 Robert Tseng: Oh, okay, I see. It went somewhere else. I guess I’ve never received an email from her.
13 00:01:51.240 ⇒ 00:01:52.250 Robert Tseng: No, I’m good.
14 00:01:52.520 ⇒ 00:01:54.240 Henry Zhao: All 7’s here, so…
15 00:01:55.460 ⇒ 00:01:56.130 Sezim Zhenishbekova: Kaye.
16 00:01:56.730 ⇒ 00:01:57.900 Robert Tseng: Hey, Sesum.
17 00:02:04.200 ⇒ 00:02:14.619 Robert Tseng: I mean, I guess since you two are here first, I’m just gonna jump into it. So, I mean, we have a call with Mitesh in, what, like, an hour? He hasn’t dug into the details, he’s received this email.
18 00:02:14.760 ⇒ 00:02:18.300 Robert Tseng: I’m, like, a little bit risk-avert. I mean, I’m…
19 00:02:18.970 ⇒ 00:02:24.700 Robert Tseng: I’m not sure, because I didn’t read this before, I guess, like…
20 00:02:25.890 ⇒ 00:02:28.680 Robert Tseng: Do you guys want to walk me through what your findings were?
21 00:02:30.290 ⇒ 00:02:32.409 Henry Zhao: Yeah, Salim, do you want to go through the findings?
22 00:02:32.760 ⇒ 00:02:33.360 Sezim Zhenishbekova: Yes.
23 00:02:33.650 ⇒ 00:02:34.190 Robert Tseng: Yeah.
24 00:02:36.790 ⇒ 00:02:39.050 Robert Tseng: I have. I can share my screen.
25 00:02:40.910 ⇒ 00:02:43.460 Sezim Zhenishbekova: I’m sharing my screen right now.
26 00:02:43.880 ⇒ 00:02:45.810 Robert Tseng: Okay, then you can share it, yeah.
27 00:02:52.500 ⇒ 00:02:55.120 Sezim Zhenishbekova: So, basically,
28 00:02:55.120 ⇒ 00:03:12.940 Sezim Zhenishbekova: In the beginning, we had a lot of concerns about the remaining refills, and what does it mean, and what the actual statuses mean as well, because sometimes there are refills, but the status is different. Sometimes it’s canceled, but sometimes it’s active, and we have negative remainings.
29 00:03:12.940 ⇒ 00:03:22.459 Sezim Zhenishbekova: and negative, like, figuring that out took some time. So based, like, based on all those logic that I have gathered with…
30 00:03:22.500 ⇒ 00:03:35.569 Sezim Zhenishbekova: Ms. Henry, we decided to have, like, eligible status where… have several logics. First one is, everything that’s active and payment errors are put together.
31 00:03:35.840 ⇒ 00:03:39.510 Sezim Zhenishbekova: And, and in January.
32 00:03:39.610 ⇒ 00:03:54.390 Sezim Zhenishbekova: So these are the numbers where we say that 1,100, in total will be, like, 100% requested for January, and there’s have status active, and then just some of them have a payment error.
33 00:03:54.640 ⇒ 00:04:10.870 Sezim Zhenishbekova: The second review will be, like, scheduled to pay in January, but not truly really eligible to refill. But we… I also included some of the negative refills, just to have a scenario. Like, for example, if you want to ignore negative refills and the status will be still active is…
34 00:04:10.870 ⇒ 00:04:21.110 Sezim Zhenishbekova: some payment errors, we’re gonna have way more orders. This will be a very optimistic view. This is conservative, and this is very optimistic numbers that we can get. For example, for the
35 00:04:21.110 ⇒ 00:04:27.879 Sezim Zhenishbekova: Weight loss, maintenance, there are some of the, negatives, and negatives mean when someone cancels it.
36 00:04:27.890 ⇒ 00:04:33.700 Sezim Zhenishbekova: The last transaction, or they didn’t finish the treatment completely.
37 00:04:34.420 ⇒ 00:04:49.900 Sezim Zhenishbekova: And then this is the runway, snapshot, where we ignore subscription status, and we just focus on remaining refills, where we, just say everything that’s above zero, need to be prepared by the inventory.
38 00:04:52.410 ⇒ 00:05:15.359 Sezim Zhenishbekova: And it’s 5,236. So, for this logic, I have also added the View 1, where we have a general snapshot of 7,686 orders for January in total that was calculated through a delivery date, payment date that was scheduled and breaking down by the
39 00:05:15.360 ⇒ 00:05:16.699 Sezim Zhenishbekova: treatment types.
40 00:05:16.700 ⇒ 00:05:28.100 Sezim Zhenishbekova: And in total, yeah, this is the… will be the rough total, and then we dive deep into the assumptions that we have, and how much, numbers change based on the assumptions that we make.
41 00:05:30.560 ⇒ 00:05:32.999 Sezim Zhenishbekova: Yeah, that’s pretty much it.
42 00:05:34.610 ⇒ 00:05:42.210 Robert Tseng: Okay, so, I see the scheduled refills for January 2026.
43 00:05:42.570 ⇒ 00:05:47.320 Robert Tseng: And we have them broken out by statuses.
44 00:05:47.510 ⇒ 00:05:51.880 Robert Tseng: Something around, like… 20% have, like.
45 00:05:52.240 ⇒ 00:05:55.260 Robert Tseng: Errored out or canceled for whatever reason.
46 00:05:56.360 ⇒ 00:06:06.360 Robert Tseng: And… The reasons why they are… There, you too.
47 00:06:06.550 ⇒ 00:06:11.129 Robert Tseng: You can… you’ve broken out what’s illegible, what’s not illegible.
48 00:06:11.920 ⇒ 00:06:18.230 Robert Tseng: I don’t really know what not illegible means, and I also don’t really know what…
49 00:06:19.390 ⇒ 00:06:25.979 Robert Tseng: the refill runway is. Like, I guess, like, in view 2, I don’t really understand what I’m looking at.
50 00:06:26.230 ⇒ 00:06:34.109 Sezim Zhenishbekova: So, not eligible is all the statuses that are not active, and not payment in error.
51 00:06:34.410 ⇒ 00:06:35.170 Sezim Zhenishbekova: So…
52 00:06:35.170 ⇒ 00:06:36.659 Robert Tseng: Oh, alright, so you have something with negative.
53 00:06:36.660 ⇒ 00:06:37.150 Sezim Zhenishbekova: We do.
54 00:06:37.150 ⇒ 00:06:38.640 Robert Tseng: bills. Okay.
55 00:06:39.010 ⇒ 00:06:43.250 Sezim Zhenishbekova: Paused… And then that’s why, like.
56 00:06:43.420 ⇒ 00:06:51.550 Sezim Zhenishbekova: I emphasize in the first view, showing the percentages, how important are those completed doctor errors, past, and payment errors.
57 00:06:51.750 ⇒ 00:06:57.720 Sezim Zhenishbekova: And then, given their small percentages, focus mostly on the active and payment error.
58 00:06:57.860 ⇒ 00:07:02.620 Sezim Zhenishbekova: It’s our, base assumption for the forecast.
59 00:07:03.970 ⇒ 00:07:21.979 Robert Tseng: Okay, I’m just, like, I mean, I’m sure Mitesh is looking at this with fresh eyes, too. He has two questions. How many refill orders for the next month? I think we answered that. What are the key reasons why we don’t get there? I don’t think we’ve answered that. I think we’ve done some other type of segmentation. I think we’ve… we’ve, like, tried to…
60 00:07:22.230 ⇒ 00:07:37.969 Robert Tseng: show the nuance between what’s truly illegible, what’s not eligible. It’s just, like, a different grouping of, like, statuses, so that you don’t have, like, whatever, 7 statuses you’re going through. You’re just calling, like, what is ac… like, it’s just refill or not refill.
61 00:07:39.170 ⇒ 00:07:50.750 Robert Tseng: I mean, that’s, like, that creates a layer of abstraction that kind of takes away… that doesn’t… that doesn’t really answer the, what are the key reasons question. I mean, I guess, like, the payment error…
62 00:07:51.330 ⇒ 00:07:58.460 Robert Tseng: And the… or the errors, kind of speak to that, I guess, but it doesn’t really…
63 00:07:58.920 ⇒ 00:08:08.799 Robert Tseng: I guess, you know, it’s just, okay, 20% of them are errors, and they are either payment errors, doctor errors, they’re canceled, or the plus. Like, I think that’s really what I’m taking away from this.
64 00:08:10.020 ⇒ 00:08:14.690 Robert Tseng: Okay, and then the negative refills thing is interesting, so, like, what’s the reason for that?
65 00:08:15.170 ⇒ 00:08:29.350 Sezim Zhenishbekova: So, the main reason is that customers, they usually subscribe for, like, for example, 6 doses of Zempic, for instance, and then they just get 4 of them and cancel on the way. And then the system tracks negative 4.
66 00:08:31.050 ⇒ 00:08:36.539 Robert Tseng: Meaning that, like, they just… because they’re canceled, they… they just, like, they have…
67 00:08:36.610 ⇒ 00:08:41.780 Sezim Zhenishbekova: Yeah, it becomes negative. Yeah, they just get flagged as negative.
68 00:08:41.990 ⇒ 00:08:46.819 Robert Tseng: Okay. But then you have some pause statuses, too, and they also flag as negative.
69 00:08:46.820 ⇒ 00:08:53.850 Sezim Zhenishbekova: Yes, so we have, like, 2%, around 2% that… of all the orders that are passed.
70 00:08:53.850 ⇒ 00:09:08.870 Sezim Zhenishbekova: And those 2% are a little weird, because, like, sometimes doctors are just, doctors is, like, pausing it on the way they’re going for a vacation, or, they just decided to have a pause, because they’re happy with what they have.
71 00:09:08.870 ⇒ 00:09:18.120 Sezim Zhenishbekova: So it’s very, that doesn’t have specific formula. I went to, like, around 10 paused transactions, and they didn’t have any consistencies behind it.
72 00:09:18.540 ⇒ 00:09:19.340 Robert Tseng: I see.
73 00:09:20.150 ⇒ 00:09:28.150 Sezim Zhenishbekova: And… but I would like to, like, work on that more, I think, even if it’s only 2%, I think breaking down them into churn.
74 00:09:28.150 ⇒ 00:09:41.699 Sezim Zhenishbekova: will be great, just saying, like, when they will unpause it, just try to predict what’s gonna… impact gonna be if they unpause it, and can we wait for them back. And same goes with the negative refills, because
75 00:09:41.700 ⇒ 00:09:58.980 Sezim Zhenishbekova: they might also come back anytime. That’s why I included, in my second view, the schedule to pay in January, and that truly eligible to refill these negative refills, because they might, like, restart it, and then… and that’s why the projections are very high.
76 00:09:58.980 ⇒ 00:09:59.430 Robert Tseng: Yeah.
77 00:09:59.430 ⇒ 00:10:15.669 Sezim Zhenishbekova: optimistic scenario that we can get. This is more, like, on the conservative side of things, and, yeah, and this one is just ignore… just focusing on the remaining fields and how, without it, how the order numbers change.
78 00:10:16.210 ⇒ 00:10:22.139 Robert Tseng: The variance is pretty wide, it’s like 5,000 difference between your… Okay,
79 00:10:23.700 ⇒ 00:10:32.930 Robert Tseng: And that’s because… that seems like it’s just because all of these people could unpause or just not cancel, or… I don’t understand, like, these… so that’s… that’s like the…
80 00:10:32.940 ⇒ 00:10:49.529 Robert Tseng: if you can get people to unpause, or you… or they… or you, mitigate churn, it becomes 6,500 instead of 1,000. Like, 1,000 is, like, almost guaranteed. It’s like, we know that these… at least this many people right now will refill, but, like.
81 00:10:50.010 ⇒ 00:10:56.569 Robert Tseng: up to 6,000 whatever refills could happen, we just don’t know yet. Is that what this is? Is that what I’m saying?
82 00:10:57.420 ⇒ 00:10:58.420 Sezim Zhenishbekova: Yeah.
83 00:10:58.850 ⇒ 00:10:59.650 Robert Tseng: Okay.
84 00:11:00.780 ⇒ 00:11:05.439 Robert Tseng: That’s kind of crazy. That’s like.
85 00:11:05.610 ⇒ 00:11:15.519 Sezim Zhenishbekova: Yeah, to understand everything as well, like, some of the past ones also have negative numbers, and yeah, it’s…
86 00:11:15.650 ⇒ 00:11:29.140 Sezim Zhenishbekova: it’s quite… yeah, like, I think reasoning behind it, like, we should spend more time on trying to understand how this runs, but given that it’s only 2%, I don’t know how impactful it can be for the…
87 00:11:29.410 ⇒ 00:11:37.009 Robert Tseng: Well, I’m talking about in the second view, like, if you look at your first versus second scenario, Mitesha’s gonna look at this, and he’s gonna be like, so you’re telling me
88 00:11:37.230 ⇒ 00:11:46.179 Robert Tseng: Conservatively, like, we could have up to 6,500, but we’re at, like, 1,000. We only have certainty of 20% of our potential refill.
89 00:11:46.430 ⇒ 00:11:47.800 Robert Tseng: capacity.
90 00:11:47.800 ⇒ 00:11:48.510 Sezim Zhenishbekova: Yeah.
91 00:11:48.680 ⇒ 00:11:49.570 Sezim Zhenishbekova: Pretty bad.
92 00:11:49.570 ⇒ 00:11:54.930 Robert Tseng: At this point, I think that’s… that’s pretty alarming. And
93 00:11:55.810 ⇒ 00:12:05.889 Robert Tseng: So, like, how do we… I mean, his next question is gonna be, like, well, how do you… how do you find the other… like, how do we have more certainty around the other 80%? Like, why can we not…
94 00:12:06.480 ⇒ 00:12:13.940 Robert Tseng: Like, yeah, like, how… what’s your level of confidence in the 1,000 scenario versus the 6,500 scenario?
95 00:12:14.500 ⇒ 00:12:21.429 Sezim Zhenishbekova: So, given this… I think we should dive deeper into negative refills and how it affects…
96 00:12:21.720 ⇒ 00:12:24.990 Sezim Zhenishbekova: Like, how can we predict the negative refill numbers?
97 00:12:27.800 ⇒ 00:12:28.470 Robert Tseng: Okay.
98 00:12:29.320 ⇒ 00:12:35.010 Robert Tseng: So the nitrogen refill is a mix of canceled and paused.
99 00:12:37.720 ⇒ 00:12:44.780 Robert Tseng: Right? Like, and if that’s less than 5%, how is it, like, a difference between 1,000 and $6,000?
100 00:12:47.160 ⇒ 00:12:51.750 Robert Tseng: Like, that… that doesn’t… that doesn’t feel right to me. Like, I haven’t looked at your formulas, but like…
101 00:12:52.350 ⇒ 00:12:55.829 Robert Tseng: Like, why is the variance so wide if it’s only, like, 5%?
102 00:13:05.970 ⇒ 00:13:09.039 Robert Tseng: You know what I mean? Because, like you were saying, there’s canceled errors…
103 00:13:09.040 ⇒ 00:13:09.510 Sezim Zhenishbekova: tuning in.
104 00:13:09.930 ⇒ 00:13:11.560 Sezim Zhenishbekova: Yes. Yes.
105 00:13:15.730 ⇒ 00:13:16.580 Sezim Zhenishbekova: Hmm.
106 00:13:21.270 ⇒ 00:13:25.710 Henry Zhao: Yeah, looks like all the variants come from weight loss total, right? So, just dig deeper in there.
107 00:13:27.820 ⇒ 00:13:28.440 Sezim Zhenishbekova: Yeah.
108 00:13:32.910 ⇒ 00:13:38.760 Sezim Zhenishbekova: Maybe the calculation of negatives is doing something… Questionable?
109 00:13:45.530 ⇒ 00:13:53.559 Robert Tseng: Okay, yeah, because, like, we’re gonna go to him, the story is, like, hey, hey, look, Mitesh, like, here’s what we expect for January in terms of refilled orders.
110 00:13:53.760 ⇒ 00:14:03.770 Robert Tseng: I mean, in the first view, it looks like, okay, 20% of it is at risk because of these random errors, and you can look at these other tabs to, like, kind of drill into it. We understand, like, kind of the…
111 00:14:03.800 ⇒ 00:14:17.330 Robert Tseng: like, why… like, what cancels look like, what pause look like. From the second view, when you’re, like, actually giving multiple scenarios, then, like, the range becomes really wide, and I’m… it just becomes confusing to follow, because you’re like, how is it…
112 00:14:17.380 ⇒ 00:14:26.679 Robert Tseng: 1,000 versus 6,000, if, you know, in the first view, the share of canceled orders or, like, error orders is so low.
113 00:14:27.470 ⇒ 00:14:31.250 Sezim Zhenishbekova: It’s not low, but 20% is still high, but, like, it’s not, like…
114 00:14:32.190 ⇒ 00:14:38.919 Robert Tseng: 1,000 to 6,000. That’s like, you know, what, like, 400, 500% difference.
115 00:14:41.320 ⇒ 00:14:46.670 Henry Zhao: Yeah, it looks like the main culprit is the negative 1 remaining refills that are status active, so probably dig.
116 00:14:46.670 ⇒ 00:14:47.030 Sezim Zhenishbekova: April.
117 00:14:47.030 ⇒ 00:14:47.589 Henry Zhao: to that.
118 00:14:50.460 ⇒ 00:14:57.119 Sezim Zhenishbekova: like, starting… because right now, I completely, for my first calculation, I’ve disregarded completely this.
119 00:14:57.870 ⇒ 00:15:00.690 Sezim Zhenishbekova: Because it’s negative, we can’t calculate…
120 00:15:00.910 ⇒ 00:15:05.349 Sezim Zhenishbekova: Anything from it, because they stopped it, but they still have active status.
121 00:15:09.490 ⇒ 00:15:15.039 Sezim Zhenishbekova: And then, this side… Like, this calculation together with…
122 00:15:16.080 ⇒ 00:15:23.409 Sezim Zhenishbekova: This, like, payment error inactive is used for the first view, where we’re disregarding all of this.
123 00:15:24.960 ⇒ 00:15:29.640 Sezim Zhenishbekova: And then the second view, where… Focusing on all.
124 00:15:32.960 ⇒ 00:15:34.779 Sezim Zhenishbekova: Counting even the negatives.
125 00:15:38.140 ⇒ 00:15:43.100 Sezim Zhenishbekova: It’s active in payment error, and that’s why… It has a bigger capture.
126 00:15:43.450 ⇒ 00:15:48.320 Sezim Zhenishbekova: And then, for my cert assumption, I just…
127 00:15:49.090 ⇒ 00:15:51.459 Sezim Zhenishbekova: Focused on the below part, like…
128 00:15:52.090 ⇒ 00:15:55.239 Sezim Zhenishbekova: Completely disregarding the zeros and taking all this.
129 00:15:55.690 ⇒ 00:16:05.459 Robert Tseng: Okay, maybe I still don’t understand the three scenarios. Like, I don’t think Mitesh will either. So, I mean, I think the first view makes sense, but, like, yeah, I don’t really understand how we got to the three scenarios.
130 00:16:07.890 ⇒ 00:16:13.699 Robert Tseng: Yeah, so I don’t know if you can… we could take… you probably need to spend a little bit of time on, like.
131 00:16:14.410 ⇒ 00:16:28.189 Robert Tseng: But you’re telling… I mean, yeah, like, Mitesh runs, like, the telehealth side of the business, so he’s gonna… he’s gonna really, like, be a stick bear for this. He’s gonna understand, like, what… what are… what these three scenarios represent.
132 00:16:28.340 ⇒ 00:16:30.070 Sezim Zhenishbekova: Yeah.
133 00:16:30.330 ⇒ 00:16:46.490 Sezim Zhenishbekova: So, my question is, how did you, like, Henry used to deal with remaining refills that are negative? Like, that’s the only ultimate question of all, right? Like, why do I have active status when remaining refills usually become negative when they cancel, like, they don’t get the full treatment?
134 00:16:49.490 ⇒ 00:16:54.500 Sezim Zhenishbekova: And they’re not even canceled at this point, but they’re still active.
135 00:16:59.570 ⇒ 00:17:03.400 Henry Zhao: Yeah, we haven’t really looked at remaining refills negative in the past.
136 00:17:03.770 ⇒ 00:17:04.579 Sezim Zhenishbekova: Yeah.
137 00:17:04.589 ⇒ 00:17:06.599 Henry Zhao: We’ve been trying to address it with BASC, but yeah.
138 00:17:12.169 ⇒ 00:17:16.929 Henry Zhao: So maybe for this first pass, we want to just ignore the… Remaining refills at negative.
139 00:17:18.849 ⇒ 00:17:24.019 Henry Zhao: Because we looked at the historical data, and I think the 7,000 number makes more sense.
140 00:17:25.049 ⇒ 00:17:26.559 Henry Zhao: Than the much lower number.
141 00:17:27.050 ⇒ 00:17:32.440 Sezim Zhenishbekova: Yeah, so for the COVID Mitesh, I would maybe disregard this one.
142 00:17:32.740 ⇒ 00:17:34.579 Sezim Zhenishbekova: And focus on this, too.
143 00:17:35.430 ⇒ 00:17:52.329 Sezim Zhenishbekova: Because clearly we can’t… given the significance of the negative refills on the current totals, we have to consider them in our calculations, so we focused that we have active payments, payment and errors, and negative refills considered.
144 00:17:52.490 ⇒ 00:17:54.239 Sezim Zhenishbekova: For future inventory.
145 00:17:54.880 ⇒ 00:17:57.849 Sezim Zhenishbekova: Assuming that they will come back, but negative refills…
146 00:17:59.000 ⇒ 00:18:09.549 Sezim Zhenishbekova: in order to get why our negative refills are there, we need to go back to the medicine, I think, and then how many times they need to get treatment from there on.
147 00:18:11.900 ⇒ 00:18:13.589 Sezim Zhenishbekova: And based on that.
148 00:18:17.770 ⇒ 00:18:20.850 Sezim Zhenishbekova: Yeah, how many products we need to get them on, and then…
149 00:18:20.970 ⇒ 00:18:31.699 Sezim Zhenishbekova: based on that, flag how many actual refills they need, even though they have canceled it. So we need to make negative refills positive through certain logic.
150 00:18:34.050 ⇒ 00:18:35.609 Sezim Zhenishbekova: That wouldn’t work for us.
151 00:18:37.450 ⇒ 00:18:45.140 Robert Tseng: Okay, so what I’m hearing is that, like, we don’t know how to handle negative refills yet, and so we should just ignore the first
152 00:18:45.480 ⇒ 00:18:49.789 Robert Tseng: Scenario, because that just excludes everything, and we shouldn’t be excluding everything.
153 00:18:49.790 ⇒ 00:18:50.220 Sezim Zhenishbekova: Yeah.
154 00:18:50.220 ⇒ 00:18:52.580 Robert Tseng: Whereas, like, the second and third one…
155 00:18:53.050 ⇒ 00:18:58.670 Robert Tseng: I don’t understand the third… the capping is zero, like, as, sweet.
156 00:18:59.230 ⇒ 00:19:09.909 Robert Tseng: Yeah, I don’t really understand what the third one is still, and… I mean, the second one is just the same as V1, so I… I guess, like, that makes sense to me.
157 00:19:10.340 ⇒ 00:19:23.290 Sezim Zhenishbekova: So, the third one is that it ignores all the statuses. It ignores statuses like complete, canceled, and stuff. It only focuses on the remaining refills.
158 00:19:23.290 ⇒ 00:19:23.910 Robert Tseng: Oh, I see.
159 00:19:23.910 ⇒ 00:19:24.980 Sezim Zhenishbekova: I’m here.
160 00:19:24.980 ⇒ 00:19:27.009 Robert Tseng: Yeah, above zero, sure. Okay.
161 00:19:28.470 ⇒ 00:19:36.430 Sezim Zhenishbekova: Because statuses can be, like, different based on the… what have been done, like, paused and everything else, but we just want to focus on.
162 00:19:36.430 ⇒ 00:19:44.100 Robert Tseng: Maybe change capped at zero, I think that’s, like, a bit confusing. Cap is usually a ceiling, so, it sounds like it’s above, it’s, like, up to zero.
163 00:19:44.280 ⇒ 00:19:49.210 Sezim Zhenishbekova: No, no, no, it’s like… okay, let me write it down. Yeah. Above zero.
164 00:19:49.210 ⇒ 00:19:49.780 Robert Tseng: Yeah.
165 00:19:53.330 ⇒ 00:19:56.360 Robert Tseng: Okay, alright, I don’t want… oh, can.
166 00:19:56.360 ⇒ 00:19:57.010 Sezim Zhenishbekova: Yeah.
167 00:19:57.010 ⇒ 00:20:05.279 Robert Tseng: move on from this, I still think that Mitesh is gonna ask questions that I’m not gonna be able to answer, so, I guess…
168 00:20:06.510 ⇒ 00:20:08.229 Robert Tseng: I mean, Henry, you’re on that call.
169 00:20:08.240 ⇒ 00:20:09.229 Henry Zhao: Yeah, I’ll be there.
170 00:20:09.230 ⇒ 00:20:16.389 Robert Tseng: So, you’ll have to handle that. And, okay, but other than that, I think that’s fine, we can move on from this.
171 00:20:17.290 ⇒ 00:20:22.580 Robert Tseng: I’m sure there’ll be kind of a follow-on, I guess, so…
172 00:20:23.780 ⇒ 00:20:26.520 Robert Tseng: Alright, let’s move on to next.
173 00:20:26.910 ⇒ 00:20:28.010 Robert Tseng: Ding…
174 00:20:38.540 ⇒ 00:20:43.280 Robert Tseng: Okay, so that was… Done.
175 00:20:43.750 ⇒ 00:20:47.860 Robert Tseng: Okay, so we’re moving this to client review.
176 00:20:48.300 ⇒ 00:20:53.910 Robert Tseng: Yeah, since we were already talking about your stuff, I’m assuming you haven’t gotten around to Jonah’s design yet?
177 00:21:00.540 ⇒ 00:21:01.420 Robert Tseng: Hello, Sesan?
178 00:21:01.730 ⇒ 00:21:03.759 Sezim Zhenishbekova: And what did you say? Sorry, I didn’t interrupt.
179 00:21:03.760 ⇒ 00:21:07.690 Robert Tseng: Yeah, yeah, like, I’m just going through the rest of your tickets, so…
180 00:21:07.690 ⇒ 00:21:13.250 Sezim Zhenishbekova: Oh, yeah, yeah. So basically, yesterday I got this urgent task, so I worked on that whole time.
181 00:21:13.610 ⇒ 00:21:16.880 Robert Tseng: So this one’s gonna get pushed to, what, tomorrow?
182 00:21:17.220 ⇒ 00:21:17.970 Robert Tseng: Friday.
183 00:21:18.190 ⇒ 00:21:18.850 Sezim Zhenishbekova: Friday.
184 00:21:18.850 ⇒ 00:21:20.380 Robert Tseng: Next cycle? Okay, sure.
185 00:21:21.190 ⇒ 00:21:23.850 Henry Zhao: And then Seism, I still owe you a dataset, so I’ll get that to you today.
186 00:21:23.850 ⇒ 00:21:24.629 Sezim Zhenishbekova: Yes, thank you.
187 00:21:24.630 ⇒ 00:21:28.320 Robert Tseng: I’ll just say… end of week…
188 00:21:29.520 ⇒ 00:21:35.849 Robert Tseng: Perfect. This, though, is… are you still waiting on Henry Day?
189 00:21:37.280 ⇒ 00:21:38.030 Robert Tseng: block.
190 00:21:42.620 ⇒ 00:21:43.530 Robert Tseng: repair.
191 00:21:45.280 ⇒ 00:21:50.379 Robert Tseng: I don’t think they’re on this call, so I’ll skip them.
192 00:21:51.520 ⇒ 00:21:55.289 Robert Tseng: Yeah, I’m not gonna call them. This is gonna be next week.
193 00:21:55.620 ⇒ 00:22:00.630 Robert Tseng: And this is not a ticket, so… Alright, Henry.
194 00:22:02.100 ⇒ 00:22:09.730 Henry Zhao: Yeah, so yesterday I just kind of worked with Sezim on that one. For Brad and Katie’s order flow dashboard, I’m meeting with Brad tomorrow.
195 00:22:09.740 ⇒ 00:22:26.219 Henry Zhao: To kind of just go over the analysis that we did last week, as well as the dashboard that I already have for him that he requested, and just figure out what other analysis that we can do. So we’re gonna go over the COGS fees that kind of you suggested, talking about, like, why are credit card fees so high?
196 00:22:26.260 ⇒ 00:22:30.179 Henry Zhao: What are some roadblocks for negotiation to see
197 00:22:30.410 ⇒ 00:22:49.510 Henry Zhao: with the data that we already have, now that I have a better understanding of it, what I can do to help with those analyses, and add that to the roadmap, which is the next task, so I’m adding it to that initial analysis planning spreadsheet that I have, to basically clearly lay out some additional analysis we want to do, as well as some suggestions, based on my call with Clarence.
198 00:22:49.750 ⇒ 00:22:55.920 Henry Zhao: So… So, yeah, I think we should have a more robust roadmap there.
199 00:22:56.790 ⇒ 00:23:16.520 Robert Tseng: Okay, so on this, we have another guy starting on Monday. His name is… I think his name is Venk, I actually don’t know what his name is. But, once I want… this roadmap is done, like, you’re gonna… basically, you’re gonna get him up to speed, and he’s gonna work with you on… on roadmap, so… Okay. That’s, he’ll be… he’ll be starting on Monday.
200 00:23:16.930 ⇒ 00:23:18.099 Henry Zhao: I wish I was good.
201 00:23:18.260 ⇒ 00:23:23.180 Robert Tseng: Yeah, and then this one is due today.
202 00:23:23.180 ⇒ 00:23:26.040 Henry Zhao: right after this. Yeah, I mean…
203 00:23:26.040 ⇒ 00:23:34.740 Robert Tseng: Jonah’s situation is, dude, there’s a…
204 00:23:34.740 ⇒ 00:23:38.940 Henry Zhao: None of this data isn’t map, though, right? Because it’s like a… Eden program.
205 00:23:45.790 ⇒ 00:23:49.580 Robert Tseng: I think… okay, what is he saying here?
206 00:23:52.890 ⇒ 00:23:54.079 Henry Zhao: I chose.
207 00:23:55.960 ⇒ 00:24:01.320 Robert Tseng: I don’t know if Stuart can even answer this question. Can he add a feature?
208 00:24:02.120 ⇒ 00:24:19.090 Robert Tseng: Oh, no, yeah, they can. Okay, whatever. So, they’re still, like, litigating some of these details. Like, obviously, like, I think this is also good practice for those of you who are getting ad hoc requests. For some reason, they are all coming to me still, which I need to deflect them. They need to come to Henry or Zaron first, but
209 00:24:19.400 ⇒ 00:24:27.120 Robert Tseng: yeah, I think, like, you know, Jonah will just, like, dump a bunch of questions, and it’s our job to go and, like, figure out
210 00:24:27.350 ⇒ 00:24:34.810 Robert Tseng: well, is he… what’s the question he’s actually asking? Like, this is just how finance people, they talk, they just send, like, 10 things at once, but…
211 00:24:35.040 ⇒ 00:24:42.939 Robert Tseng: I’ve given him a question to follow up on, and he’s like, actually, and then he’s, like, kind of just reasoning through this, so…
212 00:24:43.180 ⇒ 00:24:50.190 Robert Tseng: I think, like, that’s kind of the status of this ticket, that’s why I said it’s locked, where, like, yes, like.
213 00:24:50.530 ⇒ 00:24:53.940 Robert Tseng: We have the requirements, like, to some extent, like.
214 00:24:53.940 ⇒ 00:24:55.410 Henry Zhao: We’re not just, like…
215 00:24:55.410 ⇒ 00:25:12.340 Robert Tseng: Yeah, so I… Henry, this is to model for you, like, how you should be, like, dealing with these types of stakeholders, even with Brad. Brad’s asking for stuff, they always want analysis, but we’re not just answering questions, right? We’re trying to, like, figure out, like, what is stuff.
216 00:25:12.500 ⇒ 00:25:31.800 Robert Tseng: Well, we’re trying to help ask the right question, and then, like, whatever we’re doing needs to, like, actually tie into something that’s useful for a decision that they’re making. So, I mean, he looped in, like, 8 people into this, but, like, obviously, like, nobody really understands what he’s asking. So, I think this is, like, a very typical scenario for how we…
217 00:25:31.800 ⇒ 00:25:36.270 Robert Tseng: deal with a CFO or a COO-type kind of persona. Like, I think,
218 00:25:36.270 ⇒ 00:25:42.009 Robert Tseng: It’s just… there’s gonna be some more back and forth. For marketing, it’s a bit more straightforward, because it’s just like.
219 00:25:42.130 ⇒ 00:25:49.499 Robert Tseng: hey, I want to measure this same metric, just with, like, a different cut of, like, a different segment. But, like, this one is, like.
220 00:25:49.660 ⇒ 00:25:53.930 Robert Tseng: I think there… it just takes a little bit more time to, like, flush this out.
221 00:25:56.690 ⇒ 00:26:00.870 Henry Zhao: Yeah, can you copy and paste as much of this in the linear ticket as possible?
222 00:26:00.870 ⇒ 00:26:01.910 Robert Tseng: Yeah, I mean…
223 00:26:01.910 ⇒ 00:26:02.250 Henry Zhao: personal.
224 00:26:02.250 ⇒ 00:26:10.659 Robert Tseng: I wish they tagged you, but they didn’t, so I think, that’s all I can… all I can really do is just paste stuff in here.
225 00:26:11.340 ⇒ 00:26:12.200 Robert Tseng: Okay.
226 00:26:13.150 ⇒ 00:26:20.829 Henry Zhao: I actually prefer to get this type of finance questions than, like, a one-sentence, very abstract question that I have no idea what they’re actually asking.
227 00:26:21.040 ⇒ 00:26:24.499 Robert Tseng: Oh yeah, and that’s… then that’s Mitesh. Mitesh is just like…
228 00:26:25.300 ⇒ 00:26:43.220 Robert Tseng: you know, hey, think about this. And, like, that’s… that’s all he… that’s all he’ll give you. And, like, that’s the… that’s more of the marketing side. So I know we’re working with a bunch of different stakeholders on Eden. It’s very… that’s why I always consider Eden, like, the place where I want to throw new people into, because, like.
229 00:26:43.720 ⇒ 00:26:44.580 Robert Tseng: It’s…
230 00:26:45.340 ⇒ 00:26:58.249 Robert Tseng: we’re embedded enough that, like, I’m not worried that they’re just gonna, like, fire us in, like, a couple weeks. It would take a little bit more time than that to unwind Brainforge. But, like, it’s also an environment where you get to go and
231 00:26:58.250 ⇒ 00:27:17.030 Robert Tseng: you… you meet every stakeholder that we would end up working with on any other client. So, like, I… that’s why Sezen started here. That’s why Venk, when he starts next week, he’s also gonna start here. And then, kind of just seeing how people do, we move them to other clients. So, just, some background for, like.
232 00:27:17.230 ⇒ 00:27:23.600 Robert Tseng: why everybody ends up touching Eden at some point when they… when they start their time at Brake Forge.
233 00:27:24.340 ⇒ 00:27:25.140 Robert Tseng: Okay.
234 00:27:25.140 ⇒ 00:27:27.439 Sezim Zhenishbekova: Who’s Mitesh, but, like, how is he written?
235 00:27:27.440 ⇒ 00:27:28.799 Robert Tseng: Mitesh is the CMO.
236 00:27:29.760 ⇒ 00:27:44.700 Robert Tseng: Yeah, I mean, I appreciate the email, like, obviously, I know you guys were grinding it out last night. I’m not gonna be too nitpicky on this. I think this level of detail is appropriate for Mitesh, so, you know, I think good… good for you. I would say for other stakeholders, probably not, so…
237 00:27:44.830 ⇒ 00:27:48.750 Robert Tseng: we would, you know, we can work on messaging, but overall, I think this is…
238 00:27:49.240 ⇒ 00:27:53.150 Robert Tseng: I don’t think this is super clear, I think it would have been better if you asked, like.
239 00:27:53.330 ⇒ 00:28:13.230 Robert Tseng: Yeah, like, how do you… I mean, this is your own question, like, I think he gave the actual two questions he asked, so I wish we kind of answered his two questions more directly, but it’s fine. We will spend some time talking to him on call, so that’s just, like, as far as, like, client messaging, we can… we can… we can continue to work on that later.
240 00:28:13.600 ⇒ 00:28:14.210 Sezim Zhenishbekova: Okay.
241 00:28:14.380 ⇒ 00:28:14.930 Robert Tseng: Yeah.
242 00:28:15.240 ⇒ 00:28:22.830 Robert Tseng: Okay, so that’s that. I wanna see… Okay, we’re not gonna cover DE stuff, and…
243 00:28:23.630 ⇒ 00:28:31.370 Robert Tseng: Yeah, I know Amber’s on this call, so Amber… how do you stinger? We’ll just kind of jump through a couple of the other ones.
244 00:28:31.550 ⇒ 00:28:39.770 Robert Tseng: So, for insomnia, yeah, you just have this. We’re delaying this until Casey comes back, it’s fine.
245 00:28:39.770 ⇒ 00:28:40.140 Amber Lin: Gotcha.
246 00:28:40.140 ⇒ 00:28:40.890 Robert Tseng: I guess, yeah.
247 00:28:40.910 ⇒ 00:28:51.719 Amber Lin: I met with Bertie yesterday, we set up the canvas for another test, also for one to second order, just giving her the segments today, I’m wrapping it up.
248 00:28:52.850 ⇒ 00:29:01.149 Robert Tseng: Okay. Do you want to talk to me about, like, the daily, like, kind of, you know, the struggle that we have right now, like I’ve mentioned, is that, like.
249 00:29:01.400 ⇒ 00:29:02.570 Robert Tseng: there’s this…
250 00:29:03.060 ⇒ 00:29:14.000 Robert Tseng: I mean, you… Birdie alluded to us sending something to Lisa. I don’t know what that is, and Lisa is not telling me. So, is there, like… did you get any, like, sense of what does Lisa want?
251 00:29:14.930 ⇒ 00:29:20.070 Amber Lin: Bertie said it was a channel performance report.
252 00:29:20.070 ⇒ 00:29:24.240 Robert Tseng: Which sounds like… Which is the same thing… isn’t that what we do? Like, I don’t understand.
253 00:29:24.240 ⇒ 00:29:27.450 Amber Lin: Yeah, yeah, so I was confused.
254 00:29:28.690 ⇒ 00:29:34.000 Amber Lin: Okay. It’s a weekly report. I can copy the aggregates of…
255 00:29:34.200 ⇒ 00:29:40.509 Amber Lin: this week, compared to last week, and check with Bertie. But I do think…
256 00:29:40.510 ⇒ 00:29:43.460 Robert Tseng: I think it’s literally just this, like.
257 00:29:44.020 ⇒ 00:29:44.850 Amber Lin: Yeah, yeah.
258 00:29:44.850 ⇒ 00:29:45.830 Robert Tseng: Well, oh.
259 00:29:47.030 ⇒ 00:29:48.290 Amber Lin: I think so, too.
260 00:29:49.630 ⇒ 00:29:51.700 Amber Lin: Cause they didn’t have this before.
261 00:29:52.040 ⇒ 00:29:52.630 Robert Tseng: Yeah.
262 00:29:52.840 ⇒ 00:29:55.609 Robert Tseng: Okay, I think they just have not looked at this in detail.
263 00:29:55.610 ⇒ 00:30:00.989 Amber Lin: I walked Brady through yesterday, but, I don’t think Lisa knows.
264 00:30:04.180 ⇒ 00:30:08.019 Robert Tseng: Okay, alright, so I will… I mean, I will also kind of just…
265 00:30:08.150 ⇒ 00:30:13.289 Robert Tseng: follow up with Lisa, but it’s fine. I’m not gonna make too big of a deal out of that. I think they’re just not… they’re just not looking at it.
266 00:30:13.640 ⇒ 00:30:20.229 Robert Tseng: Okay, so I’m just gonna assume that this is still in progress, and .
267 00:30:20.900 ⇒ 00:30:22.789 Amber Lin: Yeah, anything else here?
268 00:30:23.380 ⇒ 00:30:24.110 Amber Lin: Nope.
269 00:30:24.290 ⇒ 00:30:30.260 Robert Tseng: Okay, great. That’s fine. Let’s move to Honey Stinger. So we met with, Green Group yesterday.
270 00:30:30.620 ⇒ 00:30:33.139 Robert Tseng: I think, Amber, you were on that call.
271 00:30:33.140 ⇒ 00:30:33.540 Amber Lin: So…
272 00:30:33.540 ⇒ 00:30:35.640 Robert Tseng: So… Yeah, I agree.
273 00:30:35.640 ⇒ 00:30:36.180 Amber Lin: There’s a couple.
274 00:30:36.180 ⇒ 00:30:47.650 Robert Tseng: things that I want to have by my Friday call with them. Like, I think this one I’ll have by then. I just need, like, an hour to knock this out. And then there’s also the.
275 00:30:47.650 ⇒ 00:30:50.889 Amber Lin: Yeah, I started on the subscriptions yesterday.
276 00:30:51.330 ⇒ 00:30:51.750 Robert Tseng: Okay.
277 00:30:51.750 ⇒ 00:31:01.230 Amber Lin: I should have a slide ready by end of day, because I’m out starting tomorrow, so I’ll have that done. Do you need me to look at the Looker dashboards for anything?
278 00:31:01.480 ⇒ 00:31:03.299 Robert Tseng: Nope, I got the Looker, so…
279 00:31:03.300 ⇒ 00:31:03.620 Amber Lin: Okay.
280 00:31:03.620 ⇒ 00:31:09.000 Robert Tseng: Yeah, I mean, I think they added me to it yesterday. I just… I’m not gonna look at it today, so…
281 00:31:09.280 ⇒ 00:31:10.110 Amber Lin: Sounds good.
282 00:31:11.920 ⇒ 00:31:13.360 Robert Tseng: I will also do this.
283 00:31:13.360 ⇒ 00:31:15.920 Amber Lin: Yeah, they sent the link yesterday.
284 00:31:18.200 ⇒ 00:31:20.030 Robert Tseng: Okay.
285 00:31:20.290 ⇒ 00:31:22.790 Amber Lin: Let me put that in the ticket.
286 00:31:23.720 ⇒ 00:31:24.610 Robert Tseng: Thanks.
287 00:31:24.780 ⇒ 00:31:26.759 Robert Tseng: Alright, cool. So that’s that.
288 00:31:27.010 ⇒ 00:31:32.519 Robert Tseng: Read me, Greg’s got it, I already met with him. He has something that he’s working on for them tomorrow.
289 00:31:32.750 ⇒ 00:31:39.139 Robert Tseng: Okay, and then… I mean, I really just need to spend time on Element today.
290 00:31:39.340 ⇒ 00:31:45.000 Robert Tseng: And, yeah, I guess that’s where my client time is going to.
291 00:31:45.980 ⇒ 00:31:52.970 Robert Tseng: Yeah, okay, so we have a call with Vitesh in, like, 30 minutes, and… oh, Zoran is here.
292 00:31:53.470 ⇒ 00:31:57.589 Robert Tseng: Yeah, I guess anything that we need to cover before that call?
293 00:31:59.100 ⇒ 00:32:11.450 Zoran Selinger: Yeah, so the only thing, the only new thing is that, we were… we were debugging, I mean, kind of reviewing, crediting the… the catalyst, and that just keeps dragging on.
294 00:32:11.750 ⇒ 00:32:12.330 Robert Tseng: Okay.
295 00:32:12.910 ⇒ 00:32:17.369 Zoran Selinger: So yeah, we have a few things that we need to add to the model.
296 00:32:17.670 ⇒ 00:32:18.679 Robert Tseng: Okay. Huh.
297 00:32:18.770 ⇒ 00:32:22.409 Zoran Selinger: And it’s very important, I don’t know if… if…
298 00:32:23.190 ⇒ 00:32:27.300 Zoran Selinger: of a shortage vinya here. We cannot…
299 00:32:27.540 ⇒ 00:32:31.810 Zoran Selinger: update anything before December, so only this month, because…
300 00:32:32.150 ⇒ 00:32:38.550 Zoran Selinger: They are… they are… we are on the kind of shaky ground there, anyway, with… with Catalysts.
301 00:32:38.860 ⇒ 00:32:42.120 Zoran Selinger: And we, we did miss a few, few things.
302 00:32:42.480 ⇒ 00:32:47.209 Zoran Selinger: Few orders that we need to credit them with, and we figure out.
303 00:32:47.210 ⇒ 00:32:48.329 Robert Tseng: How did we miss it?
304 00:32:49.020 ⇒ 00:32:55.730 Zoran Selinger: It just, uTMs are not enough, basically, here. We actually need to look at
305 00:32:56.200 ⇒ 00:33:02.050 Zoran Selinger: the Catalyst cookies to… To actually know
306 00:33:02.290 ⇒ 00:33:19.780 Zoran Selinger: that some of the… some of the visits are actually catalysts, and we cannot also only rely on the… the parameters in the URL, because it just… it’s not foolproof. It’s as simple as that. But, just looking at the cookie itself.
307 00:33:19.870 ⇒ 00:33:22.400 Zoran Selinger: That’s what the pixel does, so if pixel.
308 00:33:22.400 ⇒ 00:33:22.770 Robert Tseng: Yeah.
309 00:33:22.770 ⇒ 00:33:41.740 Zoran Selinger: means it’s in the cookie, so now we’re gonna add that. I’m writing up the new criteria right now as well. This will include looking at the page URL and looking for really specific catalyst query parameters, and also their cookie.
310 00:33:42.420 ⇒ 00:33:48.729 Zoran Selinger: So our… we missed, around 8 this month.
311 00:33:49.130 ⇒ 00:34:06.319 Zoran Selinger: In the first… first half of the month, so it’s not, you know, it’s not a huge thing, but it’s still, like I said, we are on the… on… on shaky grounds, just want to make it foolproof as much as possible. I found… those are all basically edge cases where we miss this.
312 00:34:07.970 ⇒ 00:34:19.330 Zoran Selinger: But now, I think with this criteria that I just discussed with Ryan, that’s why I was late for this meeting, we’ll… I think we’ll pick all of those up now.
313 00:34:19.639 ⇒ 00:34:22.690 Zoran Selinger: But this is super, super urgent.
314 00:34:23.630 ⇒ 00:34:27.099 Robert Tseng: Okay. Have you met with Ashwini and Awash yet on this?
315 00:34:27.690 ⇒ 00:34:41.389 Zoran Selinger: No, no, no. So, Ashwini was… was working on the cost uploads while I was debugging this… this morning. So, I still haven’t had… I still did not have the criteria back then.
316 00:34:41.960 ⇒ 00:34:49.010 Zoran Selinger: So, but yeah, he’s usually online when I, when I get online, so I’ll…
317 00:34:49.010 ⇒ 00:34:52.130 Robert Tseng: Which ticket do I need to bump? Like, that seems like it’s the most urgent.
318 00:34:52.130 ⇒ 00:34:55.080 Zoran Selinger: Oh, so I’m writing it up at the moment. Okay.
319 00:34:55.570 ⇒ 00:35:04.599 Zoran Selinger: But I will put it as urgent, and I will… I will, assign it to Ashwini, and I… I want to work this, please make sure you say that.
320 00:35:04.600 ⇒ 00:35:05.710 Robert Tseng: You take care of that with him, yeah.
321 00:35:05.710 ⇒ 00:35:15.859 Zoran Selinger: Yeah, also Ryan said that he’s gonna let the Mitesh kind of emphasize the importance of this as well. So, he sees an absolute urgency.
322 00:35:16.300 ⇒ 00:35:16.910 Robert Tseng: Okay.
323 00:35:17.400 ⇒ 00:35:32.429 Zoran Selinger: Yeah, and I’ll have a small piece to do on the Cloudflare worker as well, so I’m gonna do that in parallel. I need to… we need to actually pick the value of that cookie. We’re not gonna read it right now, we’re just gonna check if it’s null or not.
324 00:35:32.670 ⇒ 00:35:38.479 Zoran Selinger: That’s enough for crediting, but, I’m gonna pick the whole value. And,
325 00:35:38.660 ⇒ 00:35:41.720 Zoran Selinger: The model will have to look into, into that column.
326 00:35:41.990 ⇒ 00:35:46.269 Zoran Selinger: Okay. So, there’s gonna be a piece for myself and for Ashwini.
327 00:35:46.630 ⇒ 00:35:53.120 Zoran Selinger: So, two tickets are going to be the result of this. I’m just writing the ticket for Ashwini right now.
328 00:35:53.680 ⇒ 00:35:55.229 Robert Tseng: Okay, sounds good. Yeah.
329 00:35:57.600 ⇒ 00:36:02.159 Robert Tseng: All right, if that’s… if nothing else, I think we can… we can call it.
330 00:36:03.510 ⇒ 00:36:05.949 Robert Tseng: Alright, thanks everyone.
331 00:36:06.120 ⇒ 00:36:07.420 Robert Tseng: Bye, have a good day.