Meeting Title: Advait - Jasmin LIVE QA Working Session Date: 2026-04-16 Meeting participants: Advait Nandakumar Menon, Jasmin Multani
WEBVTT
1 00:01:46.040 ⇒ 00:01:47.460 Jasmin Multani: Hello, Booth!
2 00:01:48.390 ⇒ 00:01:49.880 Advait Nandakumar Menon: Hey, how’s it going?
3 00:01:50.420 ⇒ 00:01:54.760 Jasmin Multani: It’s going. This might end up being a 45-minute working session, is that okay?
4 00:01:54.980 ⇒ 00:01:56.119 Advait Nandakumar Menon: Yeah, yeah, that’s fine.
5 00:01:56.370 ⇒ 00:01:57.130 Jasmin Multani: Okay, okay.
6 00:01:57.130 ⇒ 00:02:04.129 Advait Nandakumar Menon: hard to ask, like, what happened to the feedback. I think you have noted it down in the data platform.
7 00:02:04.840 ⇒ 00:02:05.340 Advait Nandakumar Menon: Yo.
8 00:02:05.340 ⇒ 00:02:10.340 Jasmin Multani: I’m trying to make sense of it, because Shivani sometimes updates it in the…
9 00:02:10.419 ⇒ 00:02:25.920 Jasmin Multani: gives her feedback in the Slack, sometimes she gives it back in her tab that she created. I tried to make it consistent, I tried to tell her, like, hey, this is where we’re looking, we want your feedback to be recorded in this area. She’s not doing that. So…
10 00:02:26.230 ⇒ 00:02:27.739 Jasmin Multani: What we’re gonna do…
11 00:02:28.230 ⇒ 00:02:28.820 Advait Nandakumar Menon: Yep.
12 00:02:28.980 ⇒ 00:02:33.120 Jasmin Multani: is, A, we’re gonna go over the,
13 00:02:33.500 ⇒ 00:02:38.240 Jasmin Multani: In this call, we’re gonna go over the… QAing that I did.
14 00:02:38.720 ⇒ 00:02:41.199 Jasmin Multani: And, like, my reflections on it.
15 00:02:41.490 ⇒ 00:02:47.429 Jasmin Multani: B, we’re gonna go over the queuing that Shivani has recorded, both in Slack.
16 00:02:47.430 ⇒ 00:02:47.940 Advait Nandakumar Menon: Okay.
17 00:02:47.940 ⇒ 00:02:49.999 Jasmin Multani: And in the tracker.
18 00:02:50.680 ⇒ 00:02:51.350 Advait Nandakumar Menon: Okay.
19 00:02:51.510 ⇒ 00:02:53.860 Jasmin Multani: And,
20 00:02:55.690 ⇒ 00:03:02.679 Jasmin Multani: Yeah, so that’s what we’re gonna do. I’m literally just gonna pull up the dashboard, go tile by tile, and compare.
21 00:03:02.680 ⇒ 00:03:03.060 Advait Nandakumar Menon: Yep.
22 00:03:03.060 ⇒ 00:03:04.370 Jasmin Multani: Cross the notes.
23 00:03:04.820 ⇒ 00:03:07.750 Jasmin Multani: I’m just gonna write it down in our spec sheet.
24 00:03:08.170 ⇒ 00:03:14.080 Jasmin Multani: And then… what I’m gonna do is I’m gonna write out the line, I’m gonna write out the priority.
25 00:03:14.240 ⇒ 00:03:20.100 Jasmin Multani: I’m gonna write out how much time, we think it’s gonna take for turnaround for that exact line.
26 00:03:20.260 ⇒ 00:03:26.799 Jasmin Multani: And then once we make that robust, I’m gonna copy-paste, throw it in the linear tickets so everyone can track.
27 00:03:27.070 ⇒ 00:03:28.459 Jasmin Multani: Okay.
28 00:03:28.580 ⇒ 00:03:33.920 Jasmin Multani: I think this might take… 45 minutes to an hour, is that okay?
29 00:03:34.810 ⇒ 00:03:36.369 Advait Nandakumar Menon: Yeah, that’s completely fine.
30 00:03:36.370 ⇒ 00:03:36.910 Jasmin Multani: Okay.
31 00:03:36.910 ⇒ 00:03:44.349 Advait Nandakumar Menon: I… my calendar is wide open. I think the next meeting after this is the one you schedule with Shivani, so, I’m fine with that.
32 00:03:46.120 ⇒ 00:03:51.420 Jasmin Multani: maybe I’ll trade it to 45 minutes so that you have time to work on things.
33 00:03:52.060 ⇒ 00:03:54.350 Jasmin Multani: Would that feel better? I don’t know.
34 00:03:54.980 ⇒ 00:03:57.870 Advait Nandakumar Menon: Sorry, what’s that? Can you repeat it?
35 00:03:58.660 ⇒ 00:04:02.370 Jasmin Multani: I’m trying to see how much work we can, like, present to her.
36 00:04:02.890 ⇒ 00:04:04.330 Advait Nandakumar Menon: Oh, before the meeting, okay.
37 00:04:04.330 ⇒ 00:04:06.309 Jasmin Multani: Yeah, do you think that’s possible?
38 00:04:07.470 ⇒ 00:04:16.660 Advait Nandakumar Menon: I mean, obviously, depending on what the feedback and how we’re addressing it, I can try to do that before… the meeting’s at 3.30, right?
39 00:04:17.300 ⇒ 00:04:17.760 Jasmin Multani: Yeah.
40 00:04:17.760 ⇒ 00:04:19.510 Advait Nandakumar Menon: 3.30 ET, yeah.
41 00:04:19.519 ⇒ 00:04:20.409 Jasmin Multani: Yeah, yeah.
42 00:04:21.600 ⇒ 00:04:24.500 Advait Nandakumar Menon: I can try to get an estimates as I can before that.
43 00:04:24.570 ⇒ 00:04:29.529 Jasmin Multani: Yeah, just so… just be like, hey, we want to pulse check if we’re going in the right direction.
44 00:04:30.300 ⇒ 00:04:31.650 Advait Nandakumar Menon: Okay. Yep.
45 00:04:31.830 ⇒ 00:04:39.849 Jasmin Multani: And… yeah, so let’s… let me… let me get… let me get coffee real quick, sorry, just take a breather for, like.
46 00:04:39.850 ⇒ 00:04:40.240 Advait Nandakumar Menon: Yep.
47 00:04:40.240 ⇒ 00:04:41.450 Jasmin Multani: A few minutes, yeah.
48 00:04:41.450 ⇒ 00:04:42.020 Advait Nandakumar Menon: Yep.
49 00:05:10.810 ⇒ 00:05:11.970 Jasmin Multani: Okay.
50 00:05:12.770 ⇒ 00:05:13.959 Jasmin Multani: Let’s do this.
51 00:05:14.140 ⇒ 00:05:19.060 Jasmin Multani: Let’s first… I’m hoping… Let’s just get as much as we can.
52 00:05:21.140 ⇒ 00:05:21.980 Jasmin Multani: Yeah.
53 00:05:22.260 ⇒ 00:05:26.620 Jasmin Multani: Fingers crossed. Okay, so I’m gonna share screen…
54 00:05:28.580 ⇒ 00:05:29.730 Jasmin Multani: Do you see it?
55 00:05:30.610 ⇒ 00:05:33.280 Jasmin Multani: So, please work. Okay.
56 00:05:34.280 ⇒ 00:05:35.610 Advait Nandakumar Menon: Yeah, I can see it now.
57 00:05:35.610 ⇒ 00:05:42.799 Jasmin Multani: Okay, cool, cool, cool. So, she has it in a few spaces. In this space…
58 00:05:43.340 ⇒ 00:05:47.590 Jasmin Multani: She also has it in… Here…
59 00:05:50.240 ⇒ 00:05:53.250 Jasmin Multani: So this is where the wholesale dashboard is.
60 00:05:54.030 ⇒ 00:05:54.840 Jasmin Multani: ordered.
61 00:05:57.810 ⇒ 00:05:59.200 Jasmin Multani: Okay, so…
62 00:06:02.230 ⇒ 00:06:04.430 Jasmin Multani: Her feedback?
63 00:06:04.970 ⇒ 00:06:13.339 Jasmin Multani: for the wholesale is just this. She wants the data laid out in chart form.
64 00:06:14.200 ⇒ 00:06:16.740 Advait Nandakumar Menon: Like a table? Like a pivot?
65 00:06:16.740 ⇒ 00:06:17.630 Jasmin Multani: Yeah.
66 00:06:19.900 ⇒ 00:06:20.860 Jasmin Multani: And…
67 00:06:20.860 ⇒ 00:06:25.669 Advait Nandakumar Menon: I think this is the wholesale summary report in spreadsheet.
68 00:06:25.800 ⇒ 00:06:28.789 Advait Nandakumar Menon: I think we have done before, Photo, I think.
69 00:06:28.950 ⇒ 00:06:30.420 Advait Nandakumar Menon: That’s what it says.
70 00:06:30.470 ⇒ 00:06:32.969 Jasmin Multani: She just wants the formatting like this.
71 00:06:33.210 ⇒ 00:06:37.069 Jasmin Multani: She says it makes it easy for her…
72 00:06:37.170 ⇒ 00:06:40.670 Jasmin Multani: To see if there’s a month, so she wants it in a monthly cut.
73 00:06:42.020 ⇒ 00:06:49.090 Jasmin Multani: And she wants to see churn, so that’s gonna be, like, a week… a month-over-month degradation swing.
74 00:06:49.840 ⇒ 00:06:53.400 Jasmin Multani: And she’s probably gonna want the raw numbers, too.
75 00:06:54.320 ⇒ 00:07:03.970 Jasmin Multani: can you create a view like this? Can scrap graphs? And I then asked her, like, okay, do you want it just for the data that’s related to these screenshots?
76 00:07:05.010 ⇒ 00:07:11.769 Jasmin Multani: And she said, for the time being, scrape it, delete these two.
77 00:07:14.380 ⇒ 00:07:25.900 Jasmin Multani: For now. And she gave extra feedback, but, like, whatever. So… seems like the wholesale executive It’s fine.
78 00:07:26.340 ⇒ 00:07:31.270 Jasmin Multani: Let’s think, let’s think… Fucking hell, okay.
79 00:07:32.660 ⇒ 00:07:34.040 Jasmin Multani: on the…
80 00:07:36.650 ⇒ 00:07:38.690 Advait Nandakumar Menon: Yeah, it’s called Drink Element.
81 00:07:39.850 ⇒ 00:07:44.059 Advait Nandakumar Menon: If you type drink, Yeah, yeah.
82 00:07:44.220 ⇒ 00:07:45.190 Jasmin Multani: Sorry.
83 00:07:45.810 ⇒ 00:07:46.249 Advait Nandakumar Menon: It’s all good.
84 00:07:47.880 ⇒ 00:07:52.729 Advait Nandakumar Menon: You can just click on the homepage, yeah, and just take it from there.
85 00:07:53.340 ⇒ 00:07:54.190 Jasmin Multani: Bob.
86 00:07:59.170 ⇒ 00:08:06.389 Jasmin Multani: So, in our measurement logic, we literally Like, hey, we need you.
87 00:08:06.510 ⇒ 00:08:11.799 Jasmin Multani: to sign off on this. Like, we did not get explicit feedback on the wholesale executive.
88 00:08:12.300 ⇒ 00:08:21.929 Jasmin Multani: Okay. Or is… are we good to publish this and use this? And literally get her on record. And let’s also hold… let’s pull up the wholesale spec.
89 00:08:22.860 ⇒ 00:08:25.769 Jasmin Multani: So, QA, QA steps.
90 00:08:30.610 ⇒ 00:08:32.539 Jasmin Multani: Waste.
91 00:08:45.560 ⇒ 00:08:48.660 Jasmin Multani: You ain’… Perfect.
92 00:08:54.820 ⇒ 00:09:02.060 Jasmin Multani: For this, the wholesale executed… Pulse check.
93 00:09:03.890 ⇒ 00:09:07.240 Jasmin Multani: No feedback.
94 00:09:07.890 ⇒ 00:09:12.730 Jasmin Multani: Given… well, she did this. She did over here.
95 00:09:20.090 ⇒ 00:09:22.590 Jasmin Multani: So let’s pull this up side by side.
96 00:09:31.480 ⇒ 00:09:36.730 Jasmin Multani: So, monthly changed this, wanted as a stacked bar.
97 00:09:36.940 ⇒ 00:09:39.749 Jasmin Multani: With a split across sparkling and drink mix.
98 00:09:41.290 ⇒ 00:09:46.059 Jasmin Multani: Stocked bar, sparkling… And drink mix.
99 00:09:49.090 ⇒ 00:09:50.519 Jasmin Multani: Is this what she meant?
100 00:09:52.580 ⇒ 00:09:54.619 Advait Nandakumar Menon: Our monthly sales.
101 00:09:59.230 ⇒ 00:10:03.790 Jasmin Multani: Character versus… chart.
102 00:10:05.100 ⇒ 00:10:06.579 Jasmin Multani: Okay, so we want this as a…
103 00:10:08.550 ⇒ 00:10:10.190 Jasmin Multani: Let me make this change right now.
104 00:10:13.640 ⇒ 00:10:19.900 Advait Nandakumar Menon: This feedback is after the previous feedback she gave on the archived version, right, which we talked about there before?
105 00:10:20.900 ⇒ 00:10:22.300 Jasmin Multani: Yeah.
106 00:10:22.610 ⇒ 00:10:23.290 Advait Nandakumar Menon: Okay.
107 00:10:23.630 ⇒ 00:10:26.940 Jasmin Multani: I think it’s the same issue, right?
108 00:10:28.470 ⇒ 00:10:32.100 Jasmin Multani: Let’s talk more. So we can… for… for today, let’s just…
109 00:10:32.250 ⇒ 00:10:42.259 Jasmin Multani: Okay, so how I’ll do this is I’ll, like, write out her feedback, label it as measurement logic versus visual logic, and I’ll literally tell her.
110 00:10:42.400 ⇒ 00:10:51.639 Jasmin Multani: Visual logic, we’re gonna save that for, later tonight, tomorrow morning, but we immediately want, right, sign off on the measurement logic.
111 00:10:51.960 ⇒ 00:10:55.350 Jasmin Multani: Perfect. Does that help you?
112 00:10:55.830 ⇒ 00:10:59.590 Jasmin Multani: Because I’d rather spend more time on, like, measurement.
113 00:11:00.120 ⇒ 00:11:04.070 Advait Nandakumar Menon: Yeah, I would… Agree with that as well, because if…
114 00:11:04.620 ⇒ 00:11:12.510 Advait Nandakumar Menon: the numbers she’s expecting is not coming up there, and then we can’t do much with respect to the visual, right? So…
115 00:11:13.240 ⇒ 00:11:15.929 Advait Nandakumar Menon: Yeah, I would agree with you on that.
116 00:11:17.280 ⇒ 00:11:24.260 Jasmin Multani: But, just as a gut check…
117 00:11:24.970 ⇒ 00:11:28.090 Jasmin Multani: Like, do we need to have Null in here?
118 00:11:29.390 ⇒ 00:11:30.779 Jasmin Multani: In this bar chart.
119 00:11:32.970 ⇒ 00:11:35.899 Advait Nandakumar Menon: Right now, I haven’t filtered out anything, but…
120 00:11:36.170 ⇒ 00:11:40.640 Advait Nandakumar Menon: If it’s something she doesn’t want to see, we can obviously take it out.
121 00:11:41.210 ⇒ 00:11:43.340 Jasmin Multani: So that’s something I want to align on today.
122 00:11:43.470 ⇒ 00:11:46.479 Jasmin Multani: Decide to drop… okay, so…
123 00:11:53.160 ⇒ 00:11:55.430 Jasmin Multani: So let’s say wholesale…
124 00:12:01.990 ⇒ 00:12:05.810 Jasmin Multani: Revenue trend… Good.
125 00:12:07.560 ⇒ 00:12:10.270 Jasmin Multani: So we’re gonna go tile by tile, right?
126 00:12:11.690 ⇒ 00:12:12.320 Advait Nandakumar Menon: Yep.
127 00:12:12.830 ⇒ 00:12:23.490 Jasmin Multani: Wholesale revenue… Okay, partner segment… Needs world.
128 00:12:26.860 ⇒ 00:12:32.590 Jasmin Multani: It’s just COVID. So, consistent capitalization.
129 00:12:34.860 ⇒ 00:12:40.390 Jasmin Multani: Maybe I can help with that, and then, or actually, let’s just do…
130 00:12:42.010 ⇒ 00:12:45.520 Advait Nandakumar Menon: Wait, consistent capitalization within the data, you mean?
131 00:12:46.400 ⇒ 00:12:47.170 Jasmin Multani: Yeah.
132 00:12:47.930 ⇒ 00:12:53.549 Advait Nandakumar Menon: That is something that’s coming out from the data itself.
133 00:12:54.580 ⇒ 00:12:55.790 Advait Nandakumar Menon: So I’m not sure if we have to…
134 00:12:55.790 ⇒ 00:13:04.160 Jasmin Multani: I can help… I’ll help with there, I just have to go and… I think there’s a way where we can go into the backend SQL and just, do a command that’s like.
135 00:13:04.160 ⇒ 00:13:11.480 Advait Nandakumar Menon: Yeah, we can do that as well, or even, yeah, change it from Snowflake. Yeah, both are possible. I was about to just say that, yeah.
136 00:13:12.090 ⇒ 00:13:14.989 Jasmin Multani: So, I’ll also divvy it up, where I’m like, okay.
137 00:13:16.340 ⇒ 00:13:24.670 Jasmin Multani: straightforward things, like this I can do, and then, I want to give you more heads-down deep thinking.
138 00:13:24.670 ⇒ 00:13:25.010 Advait Nandakumar Menon: Oh, okay.
139 00:13:25.010 ⇒ 00:13:32.710 Jasmin Multani: for other things, so we’ll divvy it up together. So, visual is a consistent capitalization of values.
140 00:13:32.890 ⇒ 00:13:46.709 Jasmin Multani: Measurement? Do… do we need… what value What value does null, test, No… Test and remove.
141 00:13:47.250 ⇒ 00:13:51.980 Jasmin Multani: Wholesale… like, I don’t know what that wholesale… what is this wholesale status thing?
142 00:13:55.130 ⇒ 00:14:00.120 Jasmin Multani: I don’t know what that is. Do you know what this represents?
143 00:14:00.880 ⇒ 00:14:02.650 Advait Nandakumar Menon: Nope, not really.
144 00:14:03.440 ⇒ 00:14:07.240 Jasmin Multani: Okay, cool, so… Let’s ask Awayish that.
145 00:14:07.930 ⇒ 00:14:08.520 Advait Nandakumar Menon: Yep.
146 00:14:11.040 ⇒ 00:14:18.530 Jasmin Multani: Okay, and then, so I think that’s good for here, and then wholesale… Wholesale.
147 00:14:19.700 ⇒ 00:14:24.729 Jasmin Multani: Wholesale revenue by product category.
148 00:14:25.160 ⇒ 00:14:26.160 Jasmin Multani: Good morning.
149 00:14:26.400 ⇒ 00:14:35.220 Jasmin Multani: Measurement… needs to be… So true.
150 00:14:36.500 ⇒ 00:14:44.439 Jasmin Multani: So… what, how do they produce that.
151 00:14:45.520 ⇒ 00:14:49.690 Jasmin Multani: Draw, decide to draw. Decide to draw.
152 00:14:51.180 ⇒ 00:14:55.140 Jasmin Multani: I think this is, like, when metadata is bad.
153 00:14:56.030 ⇒ 00:14:57.090 Advait Nandakumar Menon: so…
154 00:14:57.090 ⇒ 00:14:58.680 Jasmin Multani: Oh, we’ll ask, like.
155 00:14:58.960 ⇒ 00:15:09.939 Jasmin Multani: do you want us to drop it? Like, how often, how often do we see this missed metadata from Element? And what are they doing to remove it?
156 00:15:10.980 ⇒ 00:15:14.190 Jasmin Multani: And then this needs to be stopped off.
157 00:15:16.070 ⇒ 00:15:16.410 Advait Nandakumar Menon: Okay.
158 00:15:16.410 ⇒ 00:15:17.870 Jasmin Multani: is functional.
159 00:15:19.330 ⇒ 00:15:20.660 Jasmin Multani: Shh.
160 00:15:22.640 ⇒ 00:15:26.389 Jasmin Multani: Stocked bar, and let’s see what else she said.
161 00:15:34.880 ⇒ 00:15:37.070 Jasmin Multani: Okay, so she says…
162 00:15:41.260 ⇒ 00:15:47.420 Jasmin Multani: Do you know the answer to this? Is revenue… Is revenue the accurate metric?
163 00:15:49.630 ⇒ 00:15:55.470 Advait Nandakumar Menon: So, it is… Turned as revenue over here, because…
164 00:15:55.520 ⇒ 00:16:14.540 Advait Nandakumar Menon: even in the spec, that’s what we were going for. But if you look at the summary report in the spreadsheet, it’s… I think it tells, wholesale sales. But having said that, I think there are both metrics here, like revenue and sales, like, it’s two different things, so…
165 00:16:15.000 ⇒ 00:16:22.309 Advait Nandakumar Menon: If she says that sales is what she wants to track over here, we need to change it from wholesale revenue to wholesale sales.
166 00:16:22.420 ⇒ 00:16:28.309 Advait Nandakumar Menon: Because right now, I have only defined wholesale revenue as per the spec.
167 00:16:29.140 ⇒ 00:16:32.719 Jasmin Multani: Okay. And why do we think she thinks that this is inaccurate?
168 00:16:35.030 ⇒ 00:16:38.650 Advait Nandakumar Menon: I think she is referring to the,
169 00:16:39.000 ⇒ 00:16:48.120 Advait Nandakumar Menon: the wholesale summary report in spreadsheet, the one screenshot she sent, I’m not sure if we have access to that.
170 00:16:49.540 ⇒ 00:16:52.130 Jasmin Multani: I asked Amber for that.
171 00:16:52.890 ⇒ 00:16:54.470 Jasmin Multani: -.
172 00:16:55.870 ⇒ 00:16:56.650 Advait Nandakumar Menon: You do?
173 00:16:59.280 ⇒ 00:17:02.219 Advait Nandakumar Menon: I can drop it in the chat. Yeah, this is the one.
174 00:17:05.500 ⇒ 00:17:08.450 Jasmin Multani: So we think it’s… this.
175 00:17:09.450 ⇒ 00:17:12.740 Advait Nandakumar Menon: The first tab… I mean, the second tab.
176 00:17:15.589 ⇒ 00:17:17.569 Advait Nandakumar Menon: So this is the screenshot, I believe.
177 00:17:18.829 ⇒ 00:17:19.789 Jasmin Multani: Yeah, that’s a pleasure.
178 00:17:20.520 ⇒ 00:17:21.420 Advait Nandakumar Menon: Yeah.
179 00:17:28.410 ⇒ 00:17:30.829 Advait Nandakumar Menon: So, what we have here is…
180 00:17:30.970 ⇒ 00:17:34.580 Advait Nandakumar Menon: The summary view, and we have…
181 00:17:34.990 ⇒ 00:17:46.499 Advait Nandakumar Menon: table or view in Snowflake as well. I think it’s called Wholesale Summary something. So, within that, there are, like, metrics like sales, revenue, etc.
182 00:17:46.500 ⇒ 00:17:58.139 Advait Nandakumar Menon: And average order value as well. So, for each metric, there are dates and the value given for it. So, it’s aggregated within Snowflake itself, and it’s a ready-to-use view we have.
183 00:17:58.170 ⇒ 00:18:00.679 Advait Nandakumar Menon: So, if she’s saying that’s what she wants, then…
184 00:18:01.000 ⇒ 00:18:07.950 Advait Nandakumar Menon: I will have to change where this dashboard is sourcing the data from and change it to that view. Right now, it’s not doing that.
185 00:18:08.720 ⇒ 00:18:11.020 Jasmin Multani: Okay, so let’s get alignment on that.
186 00:18:12.120 ⇒ 00:18:13.550 Jasmin Multani: Ugh, okay.
187 00:18:14.290 ⇒ 00:18:29.569 Advait Nandakumar Menon: And I also think, like, for the archive dashboard she gave feedback on, that dashboard is taking data from that summary view in Snowflake, so if that’s what she’s going for, we may need to rework the dashboard to accommodate that.
188 00:18:31.510 ⇒ 00:18:35.509 Jasmin Multani: So how are you gonna ask her that? Like, what would you… what would you ask her directly?
189 00:18:37.710 ⇒ 00:18:45.790 Advait Nandakumar Menon: Whether she’s looking for wholesale revenue or wholesale sales on this executor dashboard is what,
190 00:18:46.170 ⇒ 00:18:47.680 Advait Nandakumar Menon: I would ask her.
191 00:18:47.970 ⇒ 00:18:49.850 Jasmin Multani: And if she says, I want both…
192 00:18:51.710 ⇒ 00:18:55.489 Advait Nandakumar Menon: So maybe I can quickly do a fact check here.
193 00:18:56.620 ⇒ 00:18:59.520 Advait Nandakumar Menon: Let me try checking whether that view has both.
194 00:19:01.370 ⇒ 00:19:02.500 Jasmin Multani: Stopped.
195 00:21:56.660 ⇒ 00:21:58.710 Advait Nandakumar Menon: Do you have access to Snowflake?
196 00:22:02.050 ⇒ 00:22:02.990 Jasmin Multani: haven’t checked.
197 00:22:04.160 ⇒ 00:22:06.679 Jasmin Multani: I go into Omni…
198 00:22:30.790 ⇒ 00:22:33.550 Jasmin Multani: We can check that later, no worries. Let’s just, we can…
199 00:22:33.550 ⇒ 00:22:51.670 Advait Nandakumar Menon: Yeah, no, I… so what I was trying to say is, I don’t see any revenue metric. I’m just wondering that it is termed as revenue within the dashboard and even the topic underneath, because that’s what the wholesale… I mean, the dashboard spec is calling for. So…
200 00:22:52.570 ⇒ 00:22:56.050 Advait Nandakumar Menon: We might need to align on what she wants it to be called.
201 00:22:56.380 ⇒ 00:22:57.170 Jasmin Multani: Yeah.
202 00:23:02.270 ⇒ 00:23:02.940 Jasmin Multani: P.
203 00:23:24.270 ⇒ 00:23:27.160 Jasmin Multani: But remove percent of total we’re adding up to.
204 00:23:28.600 ⇒ 00:23:32.770 Jasmin Multani: She wants to remove 100%.
205 00:23:39.770 ⇒ 00:23:45.129 Jasmin Multani: I mean, I think it’s good, but, like, I don’t know.
206 00:23:45.630 ⇒ 00:23:48.569 Jasmin Multani: I prefer these.
207 00:23:48.930 ⇒ 00:23:52.730 Jasmin Multani: Because it also sanity checks that we’re being all-inclusive.
208 00:23:53.020 ⇒ 00:23:53.980 Advait Nandakumar Menon: Yeah.
209 00:24:00.860 ⇒ 00:24:06.000 Jasmin Multani: Percent total of… I’m gonna push back on this, like.
210 00:24:07.450 ⇒ 00:24:09.000 Advait Nandakumar Menon: The stable here? Yeah.
211 00:24:09.000 ⇒ 00:24:13.720 Jasmin Multani: I would… argued this should stay in here.
212 00:24:14.850 ⇒ 00:24:19.549 Jasmin Multani: What happened to the funnel? All those nodes below were for that section.
213 00:24:21.170 ⇒ 00:24:26.020 Jasmin Multani: What the fuck are she talking about? .
214 00:24:27.960 ⇒ 00:24:32.100 Advait Nandakumar Menon: Yeah, so this is… This is the one…
215 00:24:32.810 ⇒ 00:24:35.359 Advait Nandakumar Menon: She had a comment about
216 00:24:35.760 ⇒ 00:24:42.850 Advait Nandakumar Menon: the archived version. So, now that I go check the linear ticket you created for me on Tuesday, if you remember.
217 00:24:45.270 ⇒ 00:24:52.359 Advait Nandakumar Menon: Before, you said that you will ask her to review the correct dashboard, so these comments are based on the old archived one.
218 00:24:52.360 ⇒ 00:24:53.120 Jasmin Multani: So.
219 00:24:54.540 ⇒ 00:25:02.750 Advait Nandakumar Menon: Yeah, so the question remains, like, is that what she’s expecting? Because if that’s the case, like, we can just recreate that.
220 00:25:04.280 ⇒ 00:25:09.310 Jasmin Multani: Hold on, I think I remember seeing it, too.
221 00:25:10.850 ⇒ 00:25:14.319 Advait Nandakumar Menon: You were in the right folder, that’s what you were asking.
222 00:25:15.480 ⇒ 00:25:16.680 Advait Nandakumar Menon: Yeah, this one.
223 00:25:18.170 ⇒ 00:25:19.960 Jasmin Multani: So, it’s this one.
224 00:25:20.030 ⇒ 00:25:21.490 Advait Nandakumar Menon: Yeah, yeah.
225 00:25:38.490 ⇒ 00:25:39.680 Jasmin Multani: additional.
226 00:26:16.640 ⇒ 00:26:18.570 Jasmin Multani: hardback funnels.
227 00:26:54.880 ⇒ 00:26:59.990 Jasmin Multani: Okay, so… It should be easy to pull back these, right?
228 00:27:03.370 ⇒ 00:27:17.509 Advait Nandakumar Menon: Yeah, the backend, I need to check what’s happening, or why it’s not loading some of the other charts, but if this is what she’s going for, I just need to look at the underlying topic, or view a table, whatever’s being used, and I can work on top of that.
229 00:27:18.030 ⇒ 00:27:25.230 Jasmin Multani: Okay, because she’s asking for explicit, numbers, like, certain things are null in Dashboard.
230 00:27:25.410 ⇒ 00:27:29.329 Jasmin Multani: Does that mean we’re not calculating it at all, or…
231 00:27:29.480 ⇒ 00:27:34.120 Jasmin Multani: Are we trying to calculate it and… It’s just not coming up.
232 00:27:35.160 ⇒ 00:27:40.139 Advait Nandakumar Menon: I think that comment is specific for this, right? This dashboard?
233 00:27:40.530 ⇒ 00:27:45.400 Jasmin Multani: Yeah, hold up. So… null and new wholesale applicants.
234 00:27:45.400 ⇒ 00:27:48.260 Advait Nandakumar Menon: I think it’s, over here, yeah, this one.
235 00:27:48.260 ⇒ 00:27:50.400 Jasmin Multani: Yeah, yeah. I don’t see…
236 00:27:50.400 ⇒ 00:27:51.800 Advait Nandakumar Menon: the table above.
237 00:27:52.130 ⇒ 00:27:53.009 Jasmin Multani: At the table of items.
238 00:27:53.010 ⇒ 00:27:55.960 Advait Nandakumar Menon: Yeah, the new wholesale applicants, yeah, this one.
239 00:27:56.440 ⇒ 00:27:58.550 Advait Nandakumar Menon: Yeah, there’s null for March.
240 00:28:03.470 ⇒ 00:28:04.380 Jasmin Multani: Okay.
241 00:28:09.050 ⇒ 00:28:20.230 Jasmin Multani: So, step one… We’re… okay, somehow extra, migrate the…
242 00:28:22.130 ⇒ 00:28:32.720 Jasmin Multani: Tiles, the funnel tiles, and let’s see… onboarding partner…
243 00:28:35.820 ⇒ 00:28:38.170 Jasmin Multani: And segment. Those are the three, right?
244 00:28:39.130 ⇒ 00:28:39.830 Advait Nandakumar Menon: Yeah.
245 00:28:40.300 ⇒ 00:28:41.430 Jasmin Multani: Let’s see, let’s…
246 00:28:47.970 ⇒ 00:28:48.760 Jasmin Multani: Okay.
247 00:28:49.510 ⇒ 00:29:02.379 Jasmin Multani: Onboarding, partner, and then second sequence into the, current link, wholesale.
248 00:29:02.730 ⇒ 00:29:03.760 Jasmin Multani: Executive.
249 00:29:05.190 ⇒ 00:29:06.669 Advait Nandakumar Menon: So, I have to give you a…
250 00:29:06.980 ⇒ 00:29:15.819 Advait Nandakumar Menon: a fair share of warning, like, when you try to merge whatever’s there in this archived version, like, like I said, the topic and view for that is different.
251 00:29:16.140 ⇒ 00:29:20.209 Advait Nandakumar Menon: Versus what’s there in the executive dashboard right now, so…
252 00:29:20.350 ⇒ 00:29:26.089 Advait Nandakumar Menon: I can merge it, for sure, but some of the filters may not apply to both.
253 00:29:26.840 ⇒ 00:29:29.050 Advait Nandakumar Menon: The tiles, so…
254 00:29:29.050 ⇒ 00:29:29.540 Jasmin Multani: So.
255 00:29:29.540 ⇒ 00:29:29.860 Advait Nandakumar Menon: Yeah.
256 00:29:29.860 ⇒ 00:29:32.500 Jasmin Multani: We’d have to add, like, another…
257 00:29:33.400 ⇒ 00:29:37.890 Jasmin Multani: We’d have to be like, oh, here’s a filter, and then a separate one.
258 00:29:38.760 ⇒ 00:29:39.560 Advait Nandakumar Menon: Yep.
259 00:29:40.080 ⇒ 00:29:48.400 Jasmin Multani: It would… It would literally be like, you can apply a filter for these three, and then when you scroll down, you’re like, now we have to apply separate.
260 00:29:48.740 ⇒ 00:29:59.270 Jasmin Multani: She’ll move. She’ll move. I think there’s a way to hit control, like, you can control the filters.
261 00:30:00.190 ⇒ 00:30:02.590 Jasmin Multani: There’s, like, a control.
262 00:30:02.590 ⇒ 00:30:11.430 Advait Nandakumar Menon: Oh, yeah. One filter for both. That’ll control two other child filters under it. Yeah, I’ve seen that video you’re talking about, yeah, yeah.
263 00:30:11.430 ⇒ 00:30:13.430 Jasmin Multani: Yeah, I just don’t know how it would…
264 00:30:13.830 ⇒ 00:30:19.569 Jasmin Multani: work if there’s still different topics underlaying. So…
265 00:30:19.750 ⇒ 00:30:29.889 Jasmin Multani: But, like, if she has to do those two separately, like, she’ll live, honestly. Okay, cool. So step one, migrate the funnel tiles.
266 00:30:30.120 ⇒ 00:30:36.310 Jasmin Multani: And then step two, incorporate the data
267 00:30:41.480 ⇒ 00:30:47.700 Jasmin Multani: root cause… And solve data and integrity.
268 00:30:52.940 ⇒ 00:30:56.080 Jasmin Multani: Wholesale segment filter.
269 00:31:09.450 ⇒ 00:31:14.170 Advait Nandakumar Menon: Yeah, so, I can say that
270 00:31:14.460 ⇒ 00:31:29.149 Advait Nandakumar Menon: So the topic was developed based on the spec, right, like I said. So we have total sales as a metric within Snowflake, and we are calling revenue… basically, wholesale total revenue is total sales, so…
271 00:31:29.450 ⇒ 00:31:34.599 Advait Nandakumar Menon: If she wants to call us sales, we might have to just change it to that, yeah.
272 00:31:35.840 ⇒ 00:31:39.180 Jasmin Multani: Change the name, or just change the underlying…
273 00:31:40.310 ⇒ 00:31:41.869 Advait Nandakumar Menon: Change the name.
274 00:31:41.870 ⇒ 00:31:42.859 Jasmin Multani: Yeah, okay.
275 00:31:43.420 ⇒ 00:31:43.980 Advait Nandakumar Menon: Yep.
276 00:31:45.070 ⇒ 00:31:49.120 Jasmin Multani: We just have the solution, but it is changing.
277 00:31:49.120 ⇒ 00:31:52.269 Advait Nandakumar Menon: because I don’t see any metric for revenue within…
278 00:31:52.380 ⇒ 00:32:04.480 Advait Nandakumar Menon: Snowflake, and within Omni, I have changed sales to be called as revenue, the fields that is, populated in the topic, on top of which we’re building the dashboard, to be called as revenue.
279 00:32:04.480 ⇒ 00:32:05.639 Jasmin Multani: Yeah, yeah.
280 00:32:05.640 ⇒ 00:32:06.200 Advait Nandakumar Menon: Yeah.
281 00:32:06.380 ⇒ 00:32:15.409 Jasmin Multani: That was, like, an issue in the original spec, like, I should’ve… I should’ve validated whether the names, are mapping out correctly.
282 00:32:16.460 ⇒ 00:32:17.819 Advait Nandakumar Menon: Okay, no, that’s fine.
283 00:32:17.820 ⇒ 00:32:19.890 Jasmin Multani: Adding… adding…
284 00:32:20.320 ⇒ 00:32:27.959 Jasmin Multani: Okay, that took 30 minutes, alright. But, you know what? We’re gonna keep going. I’m sorry. So maybe.
285 00:32:27.960 ⇒ 00:32:29.080 Advait Nandakumar Menon: No, you don’t have to be.
286 00:32:31.830 ⇒ 00:32:34.960 Advait Nandakumar Menon: We can just figure this out, and… yeah, that’s fine.
287 00:32:35.170 ⇒ 00:32:37.640 Jasmin Multani: I mean, when I usually work with
288 00:32:37.780 ⇒ 00:32:49.729 Jasmin Multani: managers and people at her level, we just, like, are like, let’s come to the table, let’s figure it out, and get alignment. I don’t know if she sees us that way.
289 00:32:49.730 ⇒ 00:32:50.350 Advait Nandakumar Menon: Huh.
290 00:32:50.350 ⇒ 00:32:59.559 Jasmin Multani: So that’s what I’m worried about this meeting, but I’m gonna tell her, like, this is how we’re addressing it, and this is,
291 00:33:00.150 ⇒ 00:33:03.609 Jasmin Multani: How we’re… where you can start tracking the solutioning.
292 00:33:03.980 ⇒ 00:33:08.409 Jasmin Multani: Okay. The checklist of what’s done and what’s not done.
293 00:33:08.650 ⇒ 00:33:09.310 Advait Nandakumar Menon: Okay.
294 00:33:09.640 ⇒ 00:33:16.820 Jasmin Multani: And, Adviv and I are also going to size out the time and divvy it up, so I’ll let her know that.
295 00:33:17.080 ⇒ 00:33:18.270 Jasmin Multani: Yep.
296 00:33:19.680 ⇒ 00:33:25.220 Jasmin Multani: And the… this could be, like, the high-level… Recording of, like.
297 00:33:25.740 ⇒ 00:33:34.750 Jasmin Multani: what’s the turnaround date? And did we paint? Okay. When did we get sign-off? So, high-level summary, and then digging deeper, she’ll click into these.
298 00:33:35.570 ⇒ 00:33:36.180 Advait Nandakumar Menon: Yep.
299 00:33:36.180 ⇒ 00:33:36.870 Jasmin Multani: Okay.
300 00:33:36.980 ⇒ 00:33:37.820 Jasmin Multani: Coop.
301 00:33:38.120 ⇒ 00:33:41.710 Jasmin Multani: So let’s now do a wholesale partner.
302 00:33:47.680 ⇒ 00:33:48.669 Jasmin Multani: Gonna go here…
303 00:34:12.130 ⇒ 00:34:13.830 Jasmin Multani: Okay, so…
304 00:34:16.900 ⇒ 00:34:18.810 Jasmin Multani: I do like these, honestly.
305 00:34:18.940 ⇒ 00:34:28.859 Jasmin Multani: But it’s the same thing, it’s like, capitalization, this is null, what value does this add?
306 00:34:29.309 ⇒ 00:34:31.919 Jasmin Multani: Yep.
307 00:34:33.129 ⇒ 00:34:36.929 Jasmin Multani: But let me dig up her… thing…
308 00:34:57.209 ⇒ 00:35:02.209 Jasmin Multani: Okay, so what’s the difference between this vinyl… What does this provide?
309 00:35:04.269 ⇒ 00:35:06.899 Jasmin Multani: Active wholesale partners by week.
310 00:35:07.019 ⇒ 00:35:16.219 Jasmin Multani: I’m so brutal. So… from this… Data that she just… Provided.
311 00:35:16.709 ⇒ 00:35:20.029 Jasmin Multani: Is this data the same as…
312 00:35:23.399 ⇒ 00:35:25.289 Jasmin Multani: What we were looking at here.
313 00:35:29.320 ⇒ 00:35:31.050 Jasmin Multani: Is this the same thing?
314 00:35:34.600 ⇒ 00:35:35.520 Advait Nandakumar Menon: I…
315 00:35:35.870 ⇒ 00:35:44.910 Advait Nandakumar Menon: No, it’s not taking from the same table, I can tell you that, because this summary metric you’re seeing here, like I said, it’s from aggregated view in Snowflake, and that’s…
316 00:35:45.070 ⇒ 00:35:50.829 Advait Nandakumar Menon: what that report is built on, so… This one is not… Taking from the…
317 00:35:53.130 ⇒ 00:36:02.310 Jasmin Multani: Okay. Do we think there’s a difference in data integrity? Like…
318 00:36:03.280 ⇒ 00:36:06.590 Jasmin Multani: I’m trying to figure out if all you have to do is, like.
319 00:36:07.300 ⇒ 00:36:10.509 Jasmin Multani: Swap this into a data table.
320 00:36:12.220 ⇒ 00:36:18.120 Advait Nandakumar Menon: It shouldn’t be there, because ultimately I’m taking it from the same source of truth, but
321 00:36:19.480 ⇒ 00:36:23.740 Advait Nandakumar Menon: within the topics, I should have implemented the same logic, but
322 00:36:23.980 ⇒ 00:36:28.670 Advait Nandakumar Menon: I would say, we have to check it once if she believes these numbers.
323 00:36:29.060 ⇒ 00:36:31.219 Advait Nandakumar Menon: And what she’s expecting it to be.
324 00:36:31.960 ⇒ 00:36:38.480 Jasmin Multani: Yeah, because I think she’s gonna check… she’s gonna cross… she’s using that spreadsheet as, the source of truth.
325 00:36:39.880 ⇒ 00:36:40.310 Advait Nandakumar Menon: Okay.
326 00:36:40.580 ⇒ 00:36:47.300 Jasmin Multani: So that spreadsheet, that she tagged, she’s gonna rely on this. She’s gonna assume that this is the truth.
327 00:36:48.020 ⇒ 00:36:48.650 Advait Nandakumar Menon: Okay.
328 00:36:48.650 ⇒ 00:36:56.640 Jasmin Multani: So… Yeah, I don’t fully understand… Damn.
329 00:36:57.330 ⇒ 00:37:01.880 Jasmin Multani: Chart and partner count… Active, churned…
330 00:37:03.610 ⇒ 00:37:09.510 Jasmin Multani: Yeah, I’m trying to figure out what… what type of information does this… this chart…
331 00:37:10.180 ⇒ 00:37:13.000 Jasmin Multani: What information does this chart provide?
332 00:37:13.740 ⇒ 00:37:17.440 Jasmin Multani: That is different than what this table provides.
333 00:37:18.260 ⇒ 00:37:20.860 Jasmin Multani: That’s really what I’m trying to understand.
334 00:37:21.410 ⇒ 00:37:24.330 Advait Nandakumar Menon: If you can go back there, I think…
335 00:37:24.650 ⇒ 00:37:28.119 Advait Nandakumar Menon: The only difference is, this is breaking down by the…
336 00:37:28.450 ⇒ 00:37:33.529 Advait Nandakumar Menon: partner segment, which, I guess, with the filter above, you can still do it.
337 00:37:34.860 ⇒ 00:37:42.609 Advait Nandakumar Menon: here, you’re not breaking it out, it’s… it’s essentially the same, I would say, without the breakdown by partner segment, and…
338 00:37:42.730 ⇒ 00:37:43.270 Advait Nandakumar Menon: Oh, no.
339 00:37:44.060 ⇒ 00:37:47.939 Jasmin Multani: Okay, and you’re right, she’s probably gonna wanna filter this.
340 00:37:48.150 ⇒ 00:37:51.589 Jasmin Multani: But let’s… let’s just do a quick ad.
341 00:37:55.960 ⇒ 00:37:59.110 Advait Nandakumar Menon: Yeah, the weekly trend is from…
342 00:37:59.840 ⇒ 00:38:11.310 Advait Nandakumar Menon: one of the topics which was pre-existing, and I believe that same topic is used in this table you’re seeing here, so the numbers should match, I would say, but we can do a sanity check.
343 00:38:11.610 ⇒ 00:38:19.059 Jasmin Multani: Yeah, yeah, I’m seeing 8… around 8,000 over here for Active Partner, and that number is consistent here, so we’re just gonna… Okay.
344 00:38:19.300 ⇒ 00:38:31.399 Jasmin Multani: Churned is, like, 145, this is about $1,000. Newly churned is in the low hundreds. So, the only thing… the two differences are the partner segment is not.
345 00:38:31.400 ⇒ 00:38:33.089 Advait Nandakumar Menon: And newly churned, that’s not the year.
346 00:38:33.090 ⇒ 00:38:43.390 Jasmin Multani: Exactly. So, let’s… go through it together and map it. So we’re gonna say…
347 00:38:53.800 ⇒ 00:38:59.190 Jasmin Multani: Wholesale are gonna order patterns, right?
348 00:38:59.330 ⇒ 00:39:00.370 Jasmin Multani: Summary…
349 00:39:00.370 ⇒ 00:39:00.930 Advait Nandakumar Menon: Yep.
350 00:39:00.930 ⇒ 00:39:01.970 Jasmin Multani: metrics.
351 00:39:02.990 ⇒ 00:39:07.700 Jasmin Multani: Looks good visually. Sanity check.
352 00:39:09.140 ⇒ 00:39:14.570 Jasmin Multani: with spreadsheets… and I’ll do, like, the sanity checks.
353 00:39:14.750 ⇒ 00:39:25.400 Jasmin Multani: And then over here, this active… Versus… Versus learned, wholesale.
354 00:39:26.820 ⇒ 00:39:28.140 Jasmin Multani: from a week?
355 00:39:29.280 ⇒ 00:39:32.869 Jasmin Multani: It’s basically this.
356 00:39:34.120 ⇒ 00:39:38.240 Jasmin Multani: Yeah. Let’s ask her if we… if she wants to put this as a…
357 00:39:38.960 ⇒ 00:39:39.760 Advait Nandakumar Menon: table, yeah.
358 00:39:40.320 ⇒ 00:39:44.420 Jasmin Multani: As table, and if she wants to put it in this dashboard.
359 00:39:45.100 ⇒ 00:39:45.740 Advait Nandakumar Menon: Okay.
360 00:39:46.190 ⇒ 00:39:53.569 Jasmin Multani: Same… gifts… Gotcha.
361 00:39:56.360 ⇒ 00:39:57.620 Jasmin Multani: Additional…
362 00:40:06.630 ⇒ 00:40:08.350 Jasmin Multani: The changes are gonna be…
363 00:40:11.530 ⇒ 00:40:16.330 Jasmin Multani: Tier 2… .
364 00:40:16.330 ⇒ 00:40:17.220 Advait Nandakumar Menon: segment.
365 00:40:17.630 ⇒ 00:40:19.670 Advait Nandakumar Menon: Newly churned and partner segment, yeah.
366 00:40:22.590 ⇒ 00:40:23.300 Jasmin Multani: Sure.
367 00:40:24.780 ⇒ 00:40:25.950 Jasmin Multani: Jack later.
368 00:40:26.090 ⇒ 00:40:31.690 Jasmin Multani: Right, she didn’t… Okay, cool, cool!
369 00:40:31.800 ⇒ 00:40:38.709 Jasmin Multani: Active Wholesale. Let’s see. Let’s see if this was over here. Active wholesale.
370 00:40:41.300 ⇒ 00:40:48.080 Jasmin Multani: So this isn’t… I thought only Walmart and Target were wholesale.
371 00:40:52.130 ⇒ 00:40:55.240 Jasmin Multani: Whatever. Forget I said that.
372 00:40:55.590 ⇒ 00:40:59.250 Advait Nandakumar Menon: I think it’s just Shopify, if I’m not mistaken.
373 00:40:59.930 ⇒ 00:41:04.339 Jasmin Multani: I’m just saying so many different inconsistencies, and I’m like.
374 00:41:05.000 ⇒ 00:41:21.160 Jasmin Multani: We wrote this down somewhere. We’ve written it down in multiple places, but why are we getting things crossed? But if she’s seen this, then I’m assuming she’s gonna expect these values. So, in this one, active…
375 00:41:21.230 ⇒ 00:41:25.080 Jasmin Multani: Wholesale partners by week.
376 00:41:25.990 ⇒ 00:41:30.520 Jasmin Multani: Same as… Previous, so this…
377 00:41:31.290 ⇒ 00:41:33.840 Jasmin Multani: This exists. We can make it.
378 00:41:34.410 ⇒ 00:41:40.860 Jasmin Multani: But the changes we’ll have to also make is, make it into table.
379 00:41:42.880 ⇒ 00:41:47.529 Jasmin Multani: Make it into table. Month clearer months.
380 00:41:47.920 ⇒ 00:41:53.090 Jasmin Multani: And then, let’s see, there are… why do I only see 3… Visuals.
381 00:41:53.840 ⇒ 00:42:00.840 Advait Nandakumar Menon: Yeah, because the others are, like, very small, and until you click in the legend and just filter into it, doesn’t…
382 00:42:01.000 ⇒ 00:42:01.870 Advait Nandakumar Menon: Yeah.
383 00:42:02.570 ⇒ 00:42:04.200 Jasmin Multani: Oh, that’s a lot.
384 00:42:04.650 ⇒ 00:42:05.240 Advait Nandakumar Menon: Nope.
385 00:42:05.240 ⇒ 00:42:13.700 Jasmin Multani: Okay, cool, cool, cool. Let’s validate what online… Validate… What?
386 00:42:14.560 ⇒ 00:42:19.370 Jasmin Multani: Actually, online reseller is just basically, like, if my parents run a liquor store.
387 00:42:19.510 ⇒ 00:42:22.879 Jasmin Multani: I could just buy it, and then sell it at my store, right?
388 00:42:23.970 ⇒ 00:42:25.050 Advait Nandakumar Menon: Yeah, yeah.
389 00:42:25.510 ⇒ 00:42:26.170 Jasmin Multani: Okay.
390 00:42:26.470 ⇒ 00:42:31.289 Jasmin Multani: So, make it into a table, ensure things are filterable.
391 00:42:33.390 ⇒ 00:42:34.660 Jasmin Multani: And…
392 00:42:39.860 ⇒ 00:42:40.960 Jasmin Multani: She loves that.
393 00:42:41.080 ⇒ 00:42:45.969 Jasmin Multani: Okay, wholesale coverage and recency. I, I love this, by the way.
394 00:42:46.370 ⇒ 00:42:52.810 Jasmin Multani: Okay. I really, really loved it. I know some of the supplemental questions were also, like.
395 00:42:53.800 ⇒ 00:43:01.950 Jasmin Multani: Average cost per basket, blah blah blah blah, but honestly, for this initial run, let’s just… get a
396 00:43:02.930 ⇒ 00:43:04.789 Jasmin Multani: And then,
397 00:43:06.290 ⇒ 00:43:16.400 Jasmin Multani: there were supplemental questions that I had asked her to go through, but she hasn’t responded, so I’m like, fine, gave you the chance to review it. You didn’t acknowledge it? Okay.
398 00:43:16.630 ⇒ 00:43:24.719 Jasmin Multani: So… So how would I read this, like…
399 00:43:25.760 ⇒ 00:43:27.889 Advait Nandakumar Menon: Yeah, this… I would agree, this is…
400 00:43:29.270 ⇒ 00:43:34.159 Advait Nandakumar Menon: This was more of a complicated… yeah. So the way…
401 00:43:34.420 ⇒ 00:43:41.609 Advait Nandakumar Menon: Here, it’s represented as, like, you have the partner segment and showing the revenue, it’s also…
402 00:43:41.800 ⇒ 00:43:47.949 Advait Nandakumar Menon: Showing, like, per partner within those segments, how many orders they are getting done, so…
403 00:43:48.190 ⇒ 00:43:56.760 Advait Nandakumar Menon: That’s what I’ve tried to represent here. It may not be the best way to represent it, maybe a table would have been better, I feel, but…
404 00:43:57.140 ⇒ 00:44:01.029 Advait Nandakumar Menon: Yep, I would love your thoughts as well on this.
405 00:44:06.050 ⇒ 00:44:13.849 Advait Nandakumar Menon: Because if you click on Workbook and go to the table behind us, it will give you a better picture.
406 00:44:14.850 ⇒ 00:44:15.320 Jasmin Multani: No.
407 00:44:16.490 ⇒ 00:44:16.890 Jasmin Multani: Honestly.
408 00:44:16.890 ⇒ 00:44:17.260 Advait Nandakumar Menon: Yeah.
409 00:44:17.260 ⇒ 00:44:20.959 Jasmin Multani: Let’s keep it as, like, I don’t even know if she likes reading.
410 00:44:21.230 ⇒ 00:44:22.700 Jasmin Multani: I don’t even know where she looks across.
411 00:44:23.070 ⇒ 00:44:32.950 Jasmin Multani: So, that’s fine. Wholesale… partner coverage… So, visual…
412 00:44:37.950 ⇒ 00:44:40.140 Jasmin Multani: That’s something that isn’t official.
413 00:44:40.290 ⇒ 00:44:41.700 Jasmin Multani: She doesn’t love your mound.
414 00:44:48.400 ⇒ 00:44:52.090 Advait Nandakumar Menon: So, the table behind the visual is basically, you have the partner segment.
415 00:44:52.430 ⇒ 00:45:02.070 Advait Nandakumar Menon: You have the partner count for each… against those segments, the total orders against each of the segments, the total revenue, and the orders per partner.
416 00:45:02.510 ⇒ 00:45:03.950 Jasmin Multani: Per apartment. So…
417 00:45:03.990 ⇒ 00:45:09.650 Advait Nandakumar Menon: Yeah, and so that’s what I’ve tried to represent as a visual here, may not be the best… Yeah.
418 00:45:09.830 ⇒ 00:45:22.079 Jasmin Multani: let’s keep it as is, and see how she responds to it. I think I would’ve… what I would have done is, like, I would have made the lines the…
419 00:45:22.520 ⇒ 00:45:31.150 Jasmin Multani: because it looks like the bar chart is the dollar value. I would have made the line the…
420 00:45:33.100 ⇒ 00:45:42.450 Jasmin Multani: Actually, no, I would have… I would have made the line the dollar amount. I would have made the bar… the,
421 00:45:43.370 ⇒ 00:45:46.219 Jasmin Multani: The wholesale orders?
422 00:45:46.780 ⇒ 00:45:59.610 Jasmin Multani: Wholesale orders, and then, I would have somehow done, like, a graph of, like, or, like, written in, where in the middle of the chart, it’s… middle of the bar graph, it’s, like.
423 00:46:00.240 ⇒ 00:46:07.550 Jasmin Multani: 3.8 orders per partner. But honestly, there’s so much information in one graph that.
424 00:46:07.550 ⇒ 00:46:08.640 Advait Nandakumar Menon: Yeah, yeah, that’s…
425 00:46:09.300 ⇒ 00:46:14.240 Jasmin Multani: So let’s just keep it as is. Ask… But we’ll ask them.
426 00:46:14.870 ⇒ 00:46:21.000 Jasmin Multani: So, before this, things like, consistent…
427 00:46:21.260 ⇒ 00:46:27.069 Jasmin Multani: Consistent. Make this… is this filterable?
428 00:46:27.890 ⇒ 00:46:29.259 Jasmin Multani: Can we filter on those?
429 00:46:29.990 ⇒ 00:46:34.150 Advait Nandakumar Menon: Yeah, the filters up top should be able to filter this.
430 00:46:34.560 ⇒ 00:46:37.170 Jasmin Multani: Okay, yeah, state province, cool, cool, cool.
431 00:46:39.080 ⇒ 00:46:50.519 Jasmin Multani: I wanna give you… I just wanna work on this for 15 more minutes, so that you have, like, breathing time to, like, relax before the meeting. Okay. And just, like, synthesize, like, how you wanna…
432 00:46:51.490 ⇒ 00:46:54.410 Jasmin Multani: just, like… Just, just chill, yeah.
433 00:46:54.580 ⇒ 00:47:02.360 Jasmin Multani: Cool, cool, cool. But I really like this first order rate, last order rate. Ask her for reactions.
434 00:47:03.020 ⇒ 00:47:03.760 Advait Nandakumar Menon: Okay.
435 00:47:05.260 ⇒ 00:47:06.300 Jasmin Multani: Yeah, sure.
436 00:47:07.190 ⇒ 00:47:08.339 Jasmin Multani: However she uses those.
437 00:47:08.340 ⇒ 00:47:08.850 Advait Nandakumar Menon: Boom.
438 00:47:16.960 ⇒ 00:47:22.279 Jasmin Multani: Okay, so revenue partner, revenue…
439 00:47:32.800 ⇒ 00:47:36.980 Jasmin Multani: measurement… Files.
440 00:47:42.090 ⇒ 00:47:42.820 Jasmin Multani: Shit.
441 00:47:52.920 ⇒ 00:47:58.050 Jasmin Multani: These ones are partners… Today’s…
442 00:48:01.100 ⇒ 00:48:07.830 Jasmin Multani: Measure… It’s like, what does null…
443 00:48:09.440 ⇒ 00:48:15.130 Jasmin Multani: Does this mean that, people ordered once, and just never ordered again?
444 00:48:17.180 ⇒ 00:48:20.729 Advait Nandakumar Menon: I would say this means that…
445 00:48:24.230 ⇒ 00:48:29.029 Advait Nandakumar Menon: like, for… That metric, I wasn’t able to find
446 00:48:29.720 ⇒ 00:48:34.280 Advait Nandakumar Menon: Yeah, maybe they ordered only once, they haven’t ordered again, but…
447 00:48:34.630 ⇒ 00:48:41.469 Advait Nandakumar Menon: It didn’t fit into these buckets, and there was no relevant data available, so that calculation came out to be null.
448 00:48:41.890 ⇒ 00:48:44.760 Advait Nandakumar Menon: How that bar right here represents.
449 00:48:45.380 ⇒ 00:48:46.520 Jasmin Multani: Yeah.
450 00:48:49.970 ⇒ 00:48:53.369 Jasmin Multani: Cause this is… okay, yeah, so this is… these are people who…
451 00:48:53.700 ⇒ 00:48:56.350 Jasmin Multani: Ordered at least one, so let’s rename this.
452 00:48:56.800 ⇒ 00:49:02.969 Jasmin Multani: People who ordered ones in that number again.
453 00:49:04.260 ⇒ 00:49:13.370 Jasmin Multani: Okay, and then visual… The journal’s gonna be… we… Rename.
454 00:49:19.030 ⇒ 00:49:22.900 Jasmin Multani: Partners by… Partners?
455 00:49:23.170 ⇒ 00:49:24.979 Jasmin Multani: Poor 80 days, too.
456 00:49:28.360 ⇒ 00:49:34.039 Jasmin Multani: So how… I’m trying to understand what’s the difference between days to second order?
457 00:49:35.770 ⇒ 00:49:36.300 Jasmin Multani: Because these.
458 00:49:36.300 ⇒ 00:49:40.650 Advait Nandakumar Menon: Yeah, so…
459 00:49:41.760 ⇒ 00:49:48.010 Advait Nandakumar Menon: Once they’re onboarded and they’ve made the initial order, like, how much… how many more days they’re taking to…
460 00:49:48.140 ⇒ 00:49:53.259 Advait Nandakumar Menon: Though the second order is… What this, metric represents.
461 00:49:53.790 ⇒ 00:50:00.800 Advait Nandakumar Menon: So, this… Yeah, so, again, this is kind of skewed because the null…
462 00:50:01.750 ⇒ 00:50:04.130 Advait Nandakumar Menon: Seems to take a lot of it.
463 00:50:04.620 ⇒ 00:50:06.810 Advait Nandakumar Menon: But this is, again, a…
464 00:50:07.050 ⇒ 00:50:16.289 Advait Nandakumar Menon: pre-aggregated metric in Snowflake, and both the days since last order and days to second order, so I take the values from there, and that’s how I…
465 00:50:16.430 ⇒ 00:50:20.710 Advait Nandakumar Menon: grouped it within these buckets, and I plotted it over here.
466 00:50:22.730 ⇒ 00:50:29.290 Jasmin Multani: So it looks like this null is the one that’s like, hey, this person ordered once and never again. Do you agree?
467 00:50:29.570 ⇒ 00:50:30.850 Advait Nandakumar Menon: Yep, yep, yep.
468 00:50:30.850 ⇒ 00:50:36.009 Jasmin Multani: And then this one is Partners by Day Since Last Order Band.
469 00:50:36.290 ⇒ 00:50:40.590 Jasmin Multani: So are these people who just never placed an order? I wonder how we got this.
470 00:50:42.920 ⇒ 00:50:44.350 Advait Nandakumar Menon: Yeah,
471 00:50:45.290 ⇒ 00:50:51.989 Advait Nandakumar Menon: I… we might have to check with Avesh for this, or I, like, I have to go into the dbt logic.
472 00:50:52.480 ⇒ 00:50:54.739 Advait Nandakumar Menon: For how this field has come up with.
473 00:50:55.170 ⇒ 00:50:55.570 Jasmin Multani: Okay.
474 00:50:55.570 ⇒ 00:50:56.240 Advait Nandakumar Menon: Yeah.
475 00:50:57.000 ⇒ 00:50:58.540 Advait Nandakumar Menon: I need to check that.
476 00:51:18.860 ⇒ 00:51:20.109 Jasmin Multani: 10 more minutes.
477 00:51:21.480 ⇒ 00:51:28.450 Jasmin Multani: Yeah, little things like this, it’s like… This is normal.
478 00:51:28.450 ⇒ 00:51:31.629 Advait Nandakumar Menon: Yeah, so the day since last order.
479 00:51:32.250 ⇒ 00:51:36.359 Advait Nandakumar Menon: first order, whatever, like, all of that I’m getting from the…
480 00:51:36.500 ⇒ 00:51:41.700 Advait Nandakumar Menon: wholesale customers’ view in Snowflake, so…
481 00:51:42.270 ⇒ 00:51:49.410 Advait Nandakumar Menon: I might have to see what the logic is going on, and how he has… Avesh has come up with the modeling, and…
482 00:51:49.840 ⇒ 00:51:53.450 Advait Nandakumar Menon: Need to see why there’s nulls.
483 00:51:53.900 ⇒ 00:51:55.859 Jasmin Multani: Yeah, and then,
484 00:51:58.700 ⇒ 00:52:04.910 Jasmin Multani: Let’s… we can also ask her, like, hey, what are things that you need to get cleared by end of week?
485 00:52:05.180 ⇒ 00:52:13.250 Jasmin Multani: So, that, like, she would ask lobby questions on, and then which ones do we have more breathing space? But hopefully…
486 00:52:13.250 ⇒ 00:52:14.650 Advait Nandakumar Menon: Yeah, that would help, yeah.
487 00:52:14.650 ⇒ 00:52:15.350 Jasmin Multani: No.
488 00:52:19.850 ⇒ 00:52:24.870 Jasmin Multani: No, partnering with this.
489 00:52:26.250 ⇒ 00:52:27.490 Jasmin Multani: 17.
490 00:52:30.930 ⇒ 00:52:32.550 Jasmin Multani: We need to investigate that.
491 00:52:34.390 ⇒ 00:52:34.930 Advait Nandakumar Menon: Yep.
492 00:52:35.580 ⇒ 00:52:43.070 Jasmin Multani: And, like, I don’t know if they even have this in the spreadsheet. Check if… check if…
493 00:52:51.680 ⇒ 00:52:53.590 Jasmin Multani: Opposition!
494 00:52:54.100 ⇒ 00:52:55.730 Jasmin Multani: tone, it’s working.
495 00:52:56.450 ⇒ 00:52:58.929 Jasmin Multani: Like this.
496 00:52:59.380 ⇒ 00:53:03.680 Jasmin Multani: Can we filter by product category?
497 00:53:05.050 ⇒ 00:53:06.959 Jasmin Multani: Let’s ask if she wants that.
498 00:53:07.510 ⇒ 00:53:08.170 Advait Nandakumar Menon: Okay.
499 00:53:53.540 ⇒ 00:53:56.370 Jasmin Multani: And let’s also look up the logic here.
500 00:53:57.350 ⇒ 00:54:04.320 Jasmin Multani: So… this says… okay, actually, yeah, this is fine. This looks like it’s fine.
501 00:54:06.040 ⇒ 00:54:08.860 Advait Nandakumar Menon: I kind of don’t like the view for this again, but…
502 00:54:08.860 ⇒ 00:54:09.710 Jasmin Multani: Hmm.
503 00:54:10.550 ⇒ 00:54:11.550 Jasmin Multani: You don’t.
504 00:54:11.550 ⇒ 00:54:15.739 Advait Nandakumar Menon: I mean, I see a lot of nulls, maybe that’s why.
505 00:54:16.500 ⇒ 00:54:18.049 Jasmin Multani: Because of the other…
506 00:54:18.720 ⇒ 00:54:19.570 Advait Nandakumar Menon: Yeah.
507 00:54:20.120 ⇒ 00:54:24.179 Jasmin Multani: So again, we need to figure out where this other is coming from.
508 00:54:25.020 ⇒ 00:54:26.070 Jasmin Multani: Huh.
509 00:54:26.390 ⇒ 00:54:27.190 Jasmin Multani: No.
510 00:54:28.160 ⇒ 00:54:30.150 Jasmin Multani: And whether we should even be tracking them.
511 00:54:31.080 ⇒ 00:54:31.740 Advait Nandakumar Menon: Okay.
512 00:54:32.980 ⇒ 00:54:34.240 Jasmin Multani: 8 permanence…
513 00:54:43.620 ⇒ 00:54:44.740 Jasmin Multani: Line.
514 00:54:46.780 ⇒ 00:54:48.409 Jasmin Multani: Okay, cool, we’re at the end.
515 00:54:51.660 ⇒ 00:54:53.229 Jasmin Multani: Okay, we’re at the end of this one.
516 00:54:54.020 ⇒ 00:54:57.280 Jasmin Multani: So, I like this one. This is good.
517 00:54:57.280 ⇒ 00:54:57.820 Advait Nandakumar Menon: Okay.
518 00:54:57.820 ⇒ 00:55:01.939 Jasmin Multani: I’ll go in and do the capitalization stuff.
519 00:55:04.020 ⇒ 00:55:11.189 Jasmin Multani: Yeah, I just want to make sure that, like, we’re not overriding each other’s drafts, so we can coordinate there.
520 00:55:12.020 ⇒ 00:55:12.700 Advait Nandakumar Menon: Yeah.
521 00:55:13.030 ⇒ 00:55:13.750 Jasmin Multani: Okay, cool.
522 00:55:14.380 ⇒ 00:55:20.470 Jasmin Multani: Okay, so for the next 7 minutes, I want to move on to her retail. Let’s see how much we can get.
523 00:55:20.950 ⇒ 00:55:27.329 Jasmin Multani: Sure. Get done. And then, in that 30-minute break, I’ll just…
524 00:55:27.500 ⇒ 00:55:29.630 Jasmin Multani: Rinse and repeat for the next three.
525 00:55:30.670 ⇒ 00:55:35.330 Jasmin Multani: Okay, let’s see what she wrote for…
526 00:55:40.830 ⇒ 00:55:44.860 Jasmin Multani: It’s for retail point of sales, would like to be able to adjust the time.
527 00:55:51.590 ⇒ 00:55:55.269 Jasmin Multani: So she wants to add sales by each segment.
528 00:55:57.110 ⇒ 00:55:59.959 Jasmin Multani: It’s gonna… she wants this horrible seal as well.
529 00:56:01.080 ⇒ 00:56:03.239 Jasmin Multani: So I’m gonna throw this in here.
530 00:56:04.970 ⇒ 00:56:06.720 Jasmin Multani: And she wants this.
531 00:56:11.410 ⇒ 00:56:13.449 Jasmin Multani: This here.
532 00:56:13.930 ⇒ 00:56:15.090 Jasmin Multani: It’s a double.
533 00:56:18.150 ⇒ 00:56:21.920 Jasmin Multani: Let’s stay in close touch with this one.
534 00:56:22.170 ⇒ 00:56:27.490 Jasmin Multani: Because I think… She really expects this one.
535 00:56:28.540 ⇒ 00:56:29.480 Advait Nandakumar Menon: the table?
536 00:56:29.690 ⇒ 00:56:33.779 Jasmin Multani: Yeah, and she gave two different screenshots to tell you what this.
537 00:56:33.780 ⇒ 00:56:34.250 Advait Nandakumar Menon: Yeah.
538 00:56:34.620 ⇒ 00:56:35.270 Advait Nandakumar Menon: Yeah.
539 00:56:47.750 ⇒ 00:56:48.940 Jasmin Multani: the retail…
540 00:56:52.060 ⇒ 00:57:00.359 Jasmin Multani: Okay, so… This is her main thing. Retail point of sales, cool.
541 00:57:04.990 ⇒ 00:57:11.420 Advait Nandakumar Menon: Can you go back to that? Like, I think some sort of that version is there on the Executive Pulse.
542 00:57:11.590 ⇒ 00:57:17.470 Advait Nandakumar Menon: like, the retail… executables… oh, this is wholesale, okay.
543 00:57:18.680 ⇒ 00:57:21.320 Advait Nandakumar Menon: She wants it for… She wants it like this for wholesale?
544 00:57:21.460 ⇒ 00:57:23.170 Jasmin Multani: Wholesale and retail.
545 00:57:23.540 ⇒ 00:57:31.179 Advait Nandakumar Menon: Maybe can you quickly go to retail, like, some sort of… some version of this is already there, the retail executor pulse dashboard?
546 00:57:36.100 ⇒ 00:57:37.799 Jasmin Multani: Retail Executive Dashboard.
547 00:57:39.920 ⇒ 00:57:43.709 Advait Nandakumar Menon: Because pretty much it’s in table format, that whole dashboard.
548 00:57:46.900 ⇒ 00:57:52.600 Jasmin Multani: Though, she specifically asked for, let’s see… Dates, columns.
549 00:57:53.450 ⇒ 00:57:58.139 Jasmin Multani: Sales by each segment in total, and let’s see what the dates are.
550 00:58:02.040 ⇒ 00:58:04.050 Advait Nandakumar Menon: Okay, she wants for each date.
551 00:58:04.750 ⇒ 00:58:05.520 Jasmin Multani: Yeah.
552 00:58:05.860 ⇒ 00:58:06.350 Jasmin Multani: Okay.
553 00:58:06.350 ⇒ 00:58:12.549 Advait Nandakumar Menon: And this is just for the daily, yeah, the latest date and the latest completed week.
554 00:58:16.510 ⇒ 00:58:21.240 Jasmin Multani: Okay, cool. So, wait, that’s a good thing, that’s a pretty easy fix, right? Right, right, right?
555 00:58:21.240 ⇒ 00:58:22.180 Advait Nandakumar Menon: Yeah, yeah.
556 00:58:22.180 ⇒ 00:58:24.190 Jasmin Multani: Okay, cool. But…
557 00:58:24.660 ⇒ 00:58:32.079 Advait Nandakumar Menon: I don’t want to change this, because this view is matching exactly with the retail summary report and spreadsheet.
558 00:58:32.360 ⇒ 00:58:39.889 Advait Nandakumar Menon: And since you mentioned that’s the source of truth she’s going for, this page over here is matching exactly one-to-one with that, I would say.
559 00:58:42.400 ⇒ 00:58:45.580 Advait Nandakumar Menon: I can send you a link for that.
560 00:58:51.630 ⇒ 00:58:55.200 Jasmin Multani: So, do you think we should ask her, like, hey, do you want…
561 00:58:55.660 ⇒ 00:58:58.540 Jasmin Multani: It to look like this, or do you want it to look like this?
562 00:59:00.210 ⇒ 00:59:01.630 Advait Nandakumar Menon: Yeah,
563 00:59:02.870 ⇒ 00:59:09.149 Advait Nandakumar Menon: I’m not sure if Executive Palace is the right place to put that table. If she wants it, somewhere else we can try to do, because…
564 00:59:10.270 ⇒ 00:59:15.500 Advait Nandakumar Menon: I kinda almost don’t want to change anything on the executive pulse, just for the reason I just said, it looks…
565 00:59:16.690 ⇒ 00:59:19.329 Advait Nandakumar Menon: Matching, like, it seems to match with…
566 00:59:19.470 ⇒ 00:59:22.540 Advait Nandakumar Menon: Retail reporting in the spreadsheet.
567 00:59:22.900 ⇒ 00:59:23.980 Jasmin Multani: Okay, that’s fair.
568 00:59:24.200 ⇒ 00:59:25.240 Jasmin Multani: Flipping your ass.
569 00:59:29.570 ⇒ 00:59:36.210 Jasmin Multani: We have 3 minutes left, let’s… let’s do this, and then, so true.
570 00:59:42.960 ⇒ 00:59:43.710 Jasmin Multani: Okay.
571 00:59:44.430 ⇒ 00:59:45.620 Jasmin Multani: 2…
572 00:59:50.430 ⇒ 00:59:55.520 Jasmin Multani: So… Intel Executive Summary.
573 00:59:56.800 ⇒ 01:00:08.459 Jasmin Multani: Measurement… is currently… Currently, laugh, most recent day.
574 01:00:10.970 ⇒ 01:00:16.390 Jasmin Multani: Recent day, we are gonna be maxed to the spot.
575 01:00:16.390 ⇒ 01:00:22.890 Advait Nandakumar Menon: I would say if she really wants a table, like, with the daily breakdown,
576 01:00:23.420 ⇒ 01:00:33.569 Advait Nandakumar Menon: I know you… we talked about this over Google Docs, like, we can create another dashboard and link to test tab 2 or whatever within this, and have that as the.
577 01:00:36.090 ⇒ 01:00:40.140 Jasmin Multani: Oh, so… Baby… Top 2 here?
578 01:00:40.900 ⇒ 01:00:41.600 Advait Nandakumar Menon: Yeah.
579 01:00:41.950 ⇒ 01:00:48.240 Jasmin Multani: And you’re saying that because they’re sourcing from the same topics, it’ll be easy.
580 01:00:50.030 ⇒ 01:00:54.519 Advait Nandakumar Menon: In theory, yes. That’s what I wanted to, say.
581 01:00:54.880 ⇒ 01:00:58.950 Advait Nandakumar Menon: Okay. Because this, whatever you see over here.
582 01:00:59.160 ⇒ 01:01:03.860 Advait Nandakumar Menon: On the spreadsheet, like, the retail daily report and weekly report.
583 01:01:04.180 ⇒ 01:01:10.700 Advait Nandakumar Menon: This is the summary report, I’m not talking about this. The retail daily report and the weekly report, the numbers should match.
584 01:01:15.500 ⇒ 01:01:21.769 Jasmin Multani: To this, okay. And you’re worried, you’re worried that if it gets… Expanded out to multiple.
585 01:01:21.770 ⇒ 01:01:22.700 Advait Nandakumar Menon: Yeah.
586 01:01:23.100 ⇒ 01:01:31.119 Advait Nandakumar Menon: Yeah, because this is the summary view which she asked for, and I believe is in the spec as well, which the dashboard is capturing.
587 01:01:31.850 ⇒ 01:01:35.309 Advait Nandakumar Menon: If she needs something like a detailed
588 01:01:36.070 ⇒ 01:01:41.449 Advait Nandakumar Menon: Day-to-day breakdown, we can always have it in another tab, or…
589 01:01:42.030 ⇒ 01:01:45.970 Jasmin Multani: And she wants it, yeah, she literally wants it daily, weekly, monthly.
590 01:01:48.480 ⇒ 01:01:54.230 Jasmin Multani: Okay. And I’m assuming it’s… All of these.
591 01:01:56.890 ⇒ 01:02:01.660 Jasmin Multani: So, let’s decide on the level of granularity.
592 01:02:02.870 ⇒ 01:02:03.690 Advait Nandakumar Menon: Okay.
593 01:02:03.690 ⇒ 01:02:08.359 Jasmin Multani: And how big that lift is gonna be, like, and what the workload is gonna be.
594 01:02:08.860 ⇒ 01:02:16.689 Advait Nandakumar Menon: Okay, because, when I sent this out, I don’t know if you remember, but it took a little bit of,
595 01:02:17.540 ⇒ 01:02:21.800 Advait Nandakumar Menon: Coding and logic, stuff to be come up with for…
596 01:02:22.170 ⇒ 01:02:29.820 Advait Nandakumar Menon: coming up with the start of the week, because these people don’t follow, like, a normal calendar week, they follow, I think, Saturday to Friday.
597 01:02:30.550 ⇒ 01:02:37.339 Advait Nandakumar Menon: It’s what they follow, so… I had to implement that logic wherein the last completed week is
598 01:02:37.610 ⇒ 01:02:43.179 Advait Nandakumar Menon: the previous Saturday to the current week’s Friday, so,
599 01:02:43.320 ⇒ 01:02:47.620 Advait Nandakumar Menon: if I have to change that within the dashboard, I mean, it’s doable, but…
600 01:02:47.790 ⇒ 01:02:50.060 Advait Nandakumar Menon: I would still go for a separate view.
601 01:03:06.710 ⇒ 01:03:07.390 Jasmin Multani: Nope.
602 01:03:12.900 ⇒ 01:03:16.619 Jasmin Multani: I just want to do one more, and then I’ll… I’ll leave you alone.
603 01:03:16.940 ⇒ 01:03:23.250 Jasmin Multani: Daily QS, would be great if we could set this out?
604 01:03:23.470 ⇒ 01:03:24.680 Jasmin Multani: It’s purely.
605 01:03:27.800 ⇒ 01:03:31.589 Jasmin Multani: What you could also do is, like, just do one daily.
606 01:03:32.030 ⇒ 01:03:35.079 Jasmin Multani: Like, one huge list of daily.
607 01:03:35.210 ⇒ 01:03:40.939 Jasmin Multani: And then, off to the side, you can label the week numbers.
608 01:03:43.530 ⇒ 01:03:44.280 Jasmin Multani: And be like.
609 01:03:45.890 ⇒ 01:03:50.290 Advait Nandakumar Menon: Yeah, but that would repeat across each row, is what you’re saying, right?
610 01:03:50.970 ⇒ 01:04:00.310 Jasmin Multani: That would. I mean, that would. But you could just be like, hey, this is month 12. Hey, this is… it’ll be month 12 for, like, all 31 days.
611 01:04:02.610 ⇒ 01:04:09.200 Jasmin Multani: If you think that’s easier to code, so that all you have to do is code for one for daily.
612 01:04:09.790 ⇒ 01:04:16.539 Jasmin Multani: That’s an idea. And, label it, and just, like, so that way she can label it by that.
613 01:04:17.440 ⇒ 01:04:24.510 Jasmin Multani: Because basically I want to ask her, like, are we allowed to, like, hold this different granular…
614 01:04:25.130 ⇒ 01:04:29.890 Jasmin Multani: Dates across different tabs, or does she want one tab?
615 01:04:30.080 ⇒ 01:04:34.399 Jasmin Multani: And she wants to filter by daily, week, monthly, by all of that.
616 01:04:35.310 ⇒ 01:04:36.420 Jasmin Multani: Okay. I have no…
617 01:04:36.420 ⇒ 01:04:44.530 Advait Nandakumar Menon: I… Yeah, because I would treat this first tab on this executive pulse as a status check, because it’s
618 01:04:44.800 ⇒ 01:04:47.899 Advait Nandakumar Menon: It’s exactly what it calls. It’s a pulse check on.
619 01:04:47.900 ⇒ 01:04:48.370 Jasmin Multani: Yeah.
620 01:04:48.370 ⇒ 01:05:02.509 Advait Nandakumar Menon: Okay, what’s the… how is the latest date doing? How’s the latest completed week doing? And if she wants to change that into something drillable, or, like, wanting to look at the data, I can do it. Or, like I was suggesting, a separate tab wherein she can just…
621 01:05:02.690 ⇒ 01:05:05.150 Advait Nandakumar Menon: Look through the data, should also work.
622 01:05:05.470 ⇒ 01:05:07.220 Jasmin Multani: Drill down, yeah. Okay, like, keep that.
623 01:05:07.220 ⇒ 01:05:07.540 Advait Nandakumar Menon: Oh, yeah.
624 01:05:07.540 ⇒ 01:05:23.259 Jasmin Multani: keep that original view, and then drill down. But, like, then we have to decide, like, how we want to… does she have a hard opinion about the drill down? Is it gonna be in one singular view, or multiple, tabs? Because that’s gonna help you decide…
625 01:05:23.930 ⇒ 01:05:39.800 Advait Nandakumar Menon: I… don’t really mean, like, drilling from this first tab into the second, like, having a second tab with all the data that she wants to look at in that format, in that image, the screenshot she sent, so that she can… if she just wants to go look at the raw data, she can go explore on that tab.
626 01:05:40.030 ⇒ 01:05:42.710 Advait Nandakumar Menon: That’s what I meant, and the first tab is…
627 01:05:42.990 ⇒ 01:05:47.510 Advait Nandakumar Menon: Exclusively for just looking at the latest status checks.
628 01:05:47.850 ⇒ 01:05:55.200 Advait Nandakumar Menon: If you look at it, there is no date filter as such. There is only, like, the retailer and category filter on that tab.
629 01:05:55.570 ⇒ 01:05:57.749 Jasmin Multani: Okay, we’ll keep the first tab.
630 01:05:58.340 ⇒ 01:06:03.279 Jasmin Multani: Good idea. Additional tabs.
631 01:06:03.740 ⇒ 01:06:05.969 Jasmin Multani: decide.
632 01:06:07.130 ⇒ 01:06:15.350 Jasmin Multani: And… But she wants to keep it in the same… Like, columns, right?
633 01:06:16.800 ⇒ 01:06:19.380 Jasmin Multani: So that’s what I’m asking, like, which columns…
634 01:06:20.270 ⇒ 01:06:24.240 Jasmin Multani: I’ll just be like, which columns from which tabs does she want to use?
635 01:06:24.890 ⇒ 01:06:25.800 Jasmin Multani: Yeah.
636 01:06:26.720 ⇒ 01:06:34.470 Jasmin Multani: Which columns from which tabs does she wanna use?
637 01:06:35.360 ⇒ 01:06:38.780 Jasmin Multani: okay, do you feel good?
638 01:06:39.140 ⇒ 01:06:39.680 Jasmin Multani: Yep.
639 01:06:39.680 ⇒ 01:06:41.180 Advait Nandakumar Menon: Yep, this is fun.
640 01:06:41.430 ⇒ 01:06:44.399 Jasmin Multani: Okay, gonna do one more, and then… that’s it.
641 01:06:45.080 ⇒ 01:06:53.430 Advait Nandakumar Menon: We can go, like, we can just figure this out instead of going back and forth, so that’s fine. Like, I’m okay to stay on the call.
642 01:06:53.610 ⇒ 01:06:55.569 Jasmin Multani: Okay, okay. Great, okay, thank you, thank you.
643 01:07:02.130 ⇒ 01:07:08.999 Jasmin Multani: Retail, so let’s go to… Retail and Regional POS.
644 01:07:39.570 ⇒ 01:07:43.459 Jasmin Multani: Okay, so this is the one she reviewed. I don’t know why she hasn’t reviewed POS.
645 01:07:44.600 ⇒ 01:07:45.380 Advait Nandakumar Menon: Okay.
646 01:07:45.380 ⇒ 01:07:47.760 Jasmin Multani: Okay, so let’s review here.
647 01:07:57.410 ⇒ 01:08:00.580 Jasmin Multani: Let’s think, let’s… let me think. What the did I do? Okay.
648 01:08:02.050 ⇒ 01:08:03.040 Jasmin Multani: Here.
649 01:08:04.250 ⇒ 01:08:05.170 Jasmin Multani: Come on.
650 01:08:08.010 ⇒ 01:08:10.040 Jasmin Multani: POS sales…
651 01:08:13.740 ⇒ 01:08:19.520 Advait Nandakumar Menon: Yeah, I think this is what Greg said that day, like, she just wants a POS, and…
652 01:08:19.810 ⇒ 01:08:20.520 Jasmin Multani: Okay.
653 01:08:20.930 ⇒ 01:08:23.489 Jasmin Multani: Alright, cool, that’s it. Alright.
654 01:08:23.490 ⇒ 01:08:24.180 Advait Nandakumar Menon: Man.
655 01:08:24.180 ⇒ 01:08:26.700 Jasmin Multani: Perfect. Yeah.
656 01:08:26.700 ⇒ 01:08:30.489 Advait Nandakumar Menon: Maybe just add that feedback so that, yeah, I wouldn’t miss it.
657 01:08:30.800 ⇒ 01:08:31.390 Jasmin Multani: Yeah.
658 01:08:32.040 ⇒ 01:08:35.499 Jasmin Multani: And then regional…
659 01:08:40.479 ⇒ 01:08:41.490 Jasmin Multani: Gross!
660 01:08:47.930 ⇒ 01:08:49.260 Jasmin Multani: All this? Good?
661 01:08:50.729 ⇒ 01:08:51.329 Advait Nandakumar Menon: Yep.
662 01:08:51.989 ⇒ 01:08:52.889 Advait Nandakumar Menon: That’s fine.
663 01:08:53.060 ⇒ 01:08:53.630 Jasmin Multani: Yeah.
664 01:08:58.170 ⇒ 01:09:00.040 Advait Nandakumar Menon: I do want to ask you that…
665 01:09:00.350 ⇒ 01:09:06.479 Advait Nandakumar Menon: like, so I will change that visually on the dashboard, but even blobby…
666 01:09:06.920 ⇒ 01:09:19.049 Advait Nandakumar Menon: kind of spells it out as POSSPOS sales. Do you… do you want me go and change it there as well? Like, within the topic, or the definition, and how Blobby answers it?
667 01:09:21.029 ⇒ 01:09:23.509 Jasmin Multani: How long would that take you?
668 01:09:24.710 ⇒ 01:09:28.800 Advait Nandakumar Menon: It shouldn’t take long, but… Is that something additional?
669 01:09:29.300 ⇒ 01:09:34.889 Advait Nandakumar Menon: like, in addition to changing it on the dashboard visually, would you want me to change that as well? Yeah.
670 01:09:34.899 ⇒ 01:09:40.229 Jasmin Multani: We should keep it tight, but I’m gonna ask Rex to do that, so you can focus only on the dashboard.
671 01:09:40.960 ⇒ 01:09:42.830 Advait Nandakumar Menon: Okay. Should we move to do that?
672 01:09:43.800 ⇒ 01:09:45.479 Jasmin Multani: Should I ask Greg to do that?
673 01:09:46.319 ⇒ 01:09:49.629 Advait Nandakumar Menon: No, I can’t do that, because I’m the one who…
674 01:09:50.250 ⇒ 01:09:52.469 Advait Nandakumar Menon: Okay. Came up at the top, yeah, yeah, yeah, yeah.
675 01:09:52.470 ⇒ 01:09:53.660 Jasmin Multani: It’s all in one place.
676 01:09:54.040 ⇒ 01:09:54.510 Advait Nandakumar Menon: Yeah.
677 01:09:55.290 ⇒ 01:09:57.110 Jasmin Multani: Eventually, I’m gonna catch up to you.
678 01:09:58.090 ⇒ 01:09:58.360 Advait Nandakumar Menon: Mr.
679 01:09:58.630 ⇒ 01:10:04.790 Jasmin Multani: Pos velocity, okay, she hasn’t given feedback on this, so…
680 01:10:05.910 ⇒ 01:10:07.950 Jasmin Multani: I’m gonna give the feedback here.
681 01:10:32.410 ⇒ 01:10:33.619 Jasmin Multani: Okay, cool.
682 01:10:33.900 ⇒ 01:10:36.559 Jasmin Multani: U.S. velocity.
683 01:10:38.440 ⇒ 01:10:39.140 Jasmin Multani: Time.
684 01:10:44.130 ⇒ 01:10:45.210 Jasmin Multani: I’m sure.
685 01:10:56.510 ⇒ 01:11:01.109 Jasmin Multani: Though… Daily average units.
686 01:11:01.870 ⇒ 01:11:10.910 Jasmin Multani: So this is kind of hard to read. So… Is this saying that, like…
687 01:11:12.250 ⇒ 01:11:21.149 Advait Nandakumar Menon: On an average, how many units are being sold per store? If you click on the information button next to it, I think it should read it out.
688 01:11:21.380 ⇒ 01:11:22.250 Jasmin Multani: Yeah.
689 01:11:22.360 ⇒ 01:11:23.080 Jasmin Multani: Fun well.
690 01:11:23.080 ⇒ 01:11:23.930 Advait Nandakumar Menon: Gong.
691 01:11:25.870 ⇒ 01:11:28.319 Advait Nandakumar Menon: Yeah, why isn’t been popping up?
692 01:11:31.470 ⇒ 01:11:32.200 Jasmin Multani: Average forecast.
693 01:11:32.200 ⇒ 01:11:33.980 Advait Nandakumar Menon: I… yeah, yeah.
694 01:11:34.530 ⇒ 01:11:42.840 Jasmin Multani: That’s helpful. Average 4-week daily sales. And is it… is that average… are the four weeks, like, rolling? Like.
695 01:11:42.840 ⇒ 01:11:43.560 Advait Nandakumar Menon: Yeah, yeah.
696 01:11:43.560 ⇒ 01:11:44.370 Jasmin Multani: Okay.
697 01:11:44.990 ⇒ 01:11:48.329 Jasmin Multani: I’ll also, enrich.
698 01:11:48.780 ⇒ 01:11:52.489 Jasmin Multani: Visual Enrich time period.
699 01:11:53.000 ⇒ 01:12:02.219 Jasmin Multani: cool. I think she eventually wanted to also know, like.
700 01:12:02.660 ⇒ 01:12:08.119 Jasmin Multani: she wanted to build a table where, Element
701 01:12:08.340 ⇒ 01:12:25.039 Jasmin Multani: the company is going to outline, hey, this SKU has been, deprecated, or hey, this SKU… this SKU has been launched on this day. So, I think that could also help us understand, like, okay, why is this zero?
702 01:12:25.140 ⇒ 01:12:26.650 Jasmin Multani: Okay.
703 01:12:27.680 ⇒ 01:12:32.459 Jasmin Multani: And… what does… so, I see this is 0, but this is 56.
704 01:12:34.420 ⇒ 01:12:40.609 Jasmin Multani: So does that mean that there are 56 in supply, or, like, available, but 0 have been sold?
705 01:12:41.180 ⇒ 01:12:46.919 Advait Nandakumar Menon: Yeah, total units… can you click on the information button for total units? What does it say over there?
706 01:12:47.910 ⇒ 01:12:48.490 Jasmin Multani: Oh, my God.
707 01:12:50.580 ⇒ 01:12:51.340 Jasmin Multani: Okay.
708 01:12:52.190 ⇒ 01:12:53.859 Jasmin Multani: Sold across selected rules.
709 01:12:53.860 ⇒ 01:12:54.180 Advait Nandakumar Menon: Yes.
710 01:12:57.890 ⇒ 01:13:05.660 Jasmin Multani: And if this is… So, 56 divided by… 30 days?
711 01:13:06.750 ⇒ 01:13:10.670 Advait Nandakumar Menon: Yeah, the… 20.
712 01:13:10.960 ⇒ 01:13:14.739 Jasmin Multani: Yeah, I’m kind of surprised that these numbers…
713 01:13:16.840 ⇒ 01:13:23.280 Jasmin Multani: Because, like, 131… is this gonna be, like, 131K divided by 30?
714 01:13:24.000 ⇒ 01:13:26.720 Jasmin Multani: And then it’s further divided by store.
715 01:13:28.120 ⇒ 01:13:34.130 Advait Nandakumar Menon: It’s divided by 28. We are talking 28 as the… Go ahead again.
716 01:13:34.940 ⇒ 01:13:36.089 Jasmin Multani: Yeah, yeah, yeah.
717 01:13:36.420 ⇒ 01:13:42.800 Jasmin Multani: We should also add number of stores, in my opinion, because it looks like,
718 01:13:44.050 ⇒ 01:13:47.500 Jasmin Multani: It looks like it’s also then divided by number of stores, right?
719 01:13:49.750 ⇒ 01:14:01.930 Jasmin Multani: So, let’s be… offer… numerator… Denominator of quant…
720 01:14:05.250 ⇒ 01:14:08.789 Jasmin Multani: Add number of stores column.
721 01:14:10.680 ⇒ 01:14:14.340 Jasmin Multani: I think that’s why we’re seeing zero,
722 01:14:14.910 ⇒ 01:14:17.060 Jasmin Multani: This is 56 units.
723 01:14:17.560 ⇒ 01:14:22.769 Jasmin Multani: And then the average is going to be zero, because there’s… it’s being peanut-buttered across so many…
724 01:14:23.120 ⇒ 01:14:24.100 Jasmin Multani: So many spots.
725 01:14:24.100 ⇒ 01:14:24.690 Advait Nandakumar Menon: Yeah.
726 01:14:25.530 ⇒ 01:14:32.329 Jasmin Multani: I would also add, okay, filter, retailer, category, nice, you did that.
727 01:14:36.480 ⇒ 01:14:42.830 Jasmin Multani: Did you do product? I may ask you to do product.
728 01:14:42.930 ⇒ 01:14:50.059 Jasmin Multani: I may ask you to do it in a way where I just type in lemon.
729 01:14:50.740 ⇒ 01:14:53.670 Jasmin Multani: And then everything that has the word lemon is in here.
730 01:14:54.040 ⇒ 01:14:54.860 Jasmin Multani: Yep.
731 01:14:54.860 ⇒ 01:14:56.600 Advait Nandakumar Menon: That’s pretty doable, yeah.
732 01:14:56.600 ⇒ 01:14:57.260 Jasmin Multani: Okay.
733 01:14:57.410 ⇒ 01:15:04.129 Jasmin Multani: And then, yeah, I’m gonna give them feedback on, like, hey, your category, SKU, product names need to be cleaned up.
734 01:15:04.280 ⇒ 01:15:11.069 Jasmin Multani: Yeah, watermelon this, watermelon that, like, this is gonna screw up.
735 01:15:12.840 ⇒ 01:15:19.360 Jasmin Multani: Downstream retailers from… Selling and upselling,
736 01:15:20.170 ⇒ 01:15:23.529 Jasmin Multani: on their own digital markets. But, okay.
737 01:15:23.660 ⇒ 01:15:25.559 Jasmin Multani: So, Adam?
738 01:15:27.340 ⇒ 01:15:31.990 Jasmin Multani: You must get all started.
739 01:15:33.920 ⇒ 01:15:36.710 Jasmin Multani: Measurement is product.
740 01:15:36.840 ⇒ 01:15:47.650 Jasmin Multani: Filter, filter… So, that percentage… Totes.
741 01:15:50.120 ⇒ 01:15:50.970 Jasmin Multani: Fruits.
742 01:16:00.040 ⇒ 01:16:05.969 Jasmin Multani: Target, retailer, total units, this is good. I think this is a good start.
743 01:16:06.320 ⇒ 01:16:20.110 Jasmin Multani: Hmm… Average daily store… Okay, so it’s a cross-comparison.
744 01:16:20.110 ⇒ 01:16:23.260 Advait Nandakumar Menon: Yeah, just between… yeah, yeah.
745 01:16:24.980 ⇒ 01:16:28.380 Jasmin Multani: And can we filter by category?
746 01:16:34.310 ⇒ 01:16:37.439 Jasmin Multani: also unknown, and, like, what is… what does…
747 01:16:37.660 ⇒ 01:16:42.680 Jasmin Multani: I think we’ll solve that in the other… Yeah. Yeah.
748 01:16:44.420 ⇒ 01:16:48.180 Jasmin Multani: I also really like those.
749 01:16:48.820 ⇒ 01:16:49.500 Jasmin Multani: the…
750 01:16:49.500 ⇒ 01:16:50.160 Advait Nandakumar Menon: Okay.
751 01:16:50.160 ⇒ 01:16:57.670 Jasmin Multani: is a clear story. This is a clear example for them to be like, what the F happened?
752 01:16:58.150 ⇒ 01:17:06.379 Jasmin Multani: And then it looks like you can drill down by store, so this one from 1.68 to 1.23, huge degradation.
753 01:17:06.490 ⇒ 01:17:10.179 Jasmin Multani: It went from number 2 to, like, number 5.
754 01:17:10.790 ⇒ 01:17:15.759 Jasmin Multani: And it hasn’t returned since. I think that’s a clear story. I love this.
755 01:17:16.360 ⇒ 01:17:20.589 Jasmin Multani: I hope she realizes how helpful this is for her.
756 01:17:20.810 ⇒ 01:17:21.270 Advait Nandakumar Menon: Yep.
757 01:17:21.270 ⇒ 01:17:23.389 Jasmin Multani: Supply forecasting.
758 01:17:25.100 ⇒ 01:17:25.500 Jasmin Multani: Ur.
759 01:17:26.730 ⇒ 01:17:28.490 Jasmin Multani: Closity chart.
760 01:17:29.500 ⇒ 01:17:30.800 Jasmin Multani: Great.
761 01:17:31.970 ⇒ 01:17:34.259 Jasmin Multani: I would just add, the title.
762 01:17:34.770 ⇒ 01:17:40.400 Jasmin Multani: Because, I have I had to really sit down and understand, like, oh, it’s only the top 5.
763 01:17:41.680 ⇒ 01:17:46.760 Jasmin Multani: Just, I can, I can reach it, to have you.
764 01:17:48.540 ⇒ 01:17:49.510 Jasmin Multani: Cool.
765 01:17:51.040 ⇒ 01:17:52.310 Jasmin Multani: How do you feel?
766 01:17:53.190 ⇒ 01:17:58.509 Advait Nandakumar Menon: Yep, some of these are pretty doable.
767 01:17:58.970 ⇒ 01:18:01.340 Advait Nandakumar Menon: Some of these, we have to figure it out.
768 01:18:02.760 ⇒ 01:18:03.570 Advait Nandakumar Menon: Yeah.
769 01:18:03.780 ⇒ 01:18:10.160 Jasmin Multani: Okay, let me, after this call with her, Let me also rank.
770 01:18:10.590 ⇒ 01:18:14.670 Jasmin Multani: Which one, is easiest to… like, what’s the lift?
771 01:18:15.090 ⇒ 01:18:24.090 Jasmin Multani: And the expected turnaround time. And, yeah, I…
772 01:18:26.080 ⇒ 01:18:34.500 Jasmin Multani: It’s almost the end of the day, so I’ll… we can chat late, after I, like, size out the lift needed.
773 01:18:34.670 ⇒ 01:18:42.409 Jasmin Multani: We can also chat about, like, which one should you tackle first, based off of how angry she sounds.
774 01:18:42.970 ⇒ 01:18:43.450 Advait Nandakumar Menon: No.
775 01:18:44.610 ⇒ 01:18:45.010 Advait Nandakumar Menon: there.
776 01:18:45.010 ⇒ 01:18:51.989 Jasmin Multani: Usually, I’m like, oh, do the… do the fast… do the easiest, basic ones first, so that we have, like.
777 01:18:52.310 ⇒ 01:19:00.850 Jasmin Multani: we can clear through the backlog faster. That is usually my preference, but let’s base it off of how angry she is.
778 01:19:00.850 ⇒ 01:19:02.700 Advait Nandakumar Menon: Okay, okay, yeah, fair enough.
779 01:19:02.980 ⇒ 01:19:04.700 Jasmin Multani: Alright, thank you!
780 01:19:04.700 ⇒ 01:19:06.319 Advait Nandakumar Menon: Alright, see you soon. Bye-bye.
781 01:19:06.320 ⇒ 01:19:07.080 Jasmin Multani: Bye.