2026-04-28_brainforge_x_element_weekly_sync_d84a1e09

Meeting Title: Brainforge x Element Weekly Sync Date: 2026-04-28 Meeting participants: Advait Nandakumar Menon, Jasmin Multani

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WEBVTT

1 00:00:16.100 ⇒ 00:00:17.259 Jasmin Multani: Yeah, big!

2 00:00:19.600 ⇒ 00:00:20.630 Advait Nandakumar Menon: How’s it going?

3 00:00:20.840 ⇒ 00:00:22.770 Jasmin Multani: It’s going, it’s going.

4 00:00:23.190 ⇒ 00:00:24.990 Advait Nandakumar Menon: Haha, I got that.

5 00:00:25.480 ⇒ 00:00:26.010 Jasmin Multani: kidding.

6 00:00:26.320 ⇒ 00:00:31.280 Jasmin Multani: Cool. How was your weekend? How are things?

7 00:00:33.029 ⇒ 00:00:38.839 Advait Nandakumar Menon: So far, so good. I did address some of the things we spoke about yesterday.

8 00:00:39.089 ⇒ 00:00:46.229 Advait Nandakumar Menon: Yep. The dashboard is in a good place for Shivania, and I also saw he moded to the other folder as well, so…

9 00:00:46.539 ⇒ 00:00:52.969 Advait Nandakumar Menon: Yeah, that’s good. So I’m starting to look into the wholesale now, so…

10 00:00:53.899 ⇒ 00:01:04.819 Advait Nandakumar Menon: For the wholesale executive pulse, do you want me to do the same activity we did for the retail one, wherein moving the OmniSheet… I mean, the Google Sheet to OmniSheet?

11 00:01:05.209 ⇒ 00:01:11.709 Jasmin Multani: Yeah, let’s… let’s do that, and let’s only stick to the summary. Let me, pull up the linear ticket, and we can.

12 00:01:11.710 ⇒ 00:01:16.419 Advait Nandakumar Menon: Because… Yeah, I think it wasn’t there in the ticket, that’s the reason.

13 00:01:17.800 ⇒ 00:01:20.330 Advait Nandakumar Menon: Alright. Asking if I’m not wrong.

14 00:01:22.950 ⇒ 00:01:24.210 Jasmin Multani: It’s ridiculous.

15 00:01:24.630 ⇒ 00:01:26.180 Advait Nandakumar Menon: I’m not sure if I missed it.

16 00:01:28.320 ⇒ 00:01:30.080 Jasmin Multani: Download this ticket…

17 00:01:31.600 ⇒ 00:01:33.370 Advait Nandakumar Menon: Yep, 364.

18 00:01:33.680 ⇒ 00:01:40.919 Jasmin Multani: make the green crunch smaller. We’ll see what we use. I will focus on this.

19 00:01:41.390 ⇒ 00:01:44.830 Jasmin Multani: What she means by CLT.

20 00:01:46.020 ⇒ 00:01:51.460 Jasmin Multani: Actually… Okay, yeah, let me lean in on this one.

21 00:01:59.670 ⇒ 00:02:01.590 Jasmin Multani: Okay, let’s first…

22 00:02:07.030 ⇒ 00:02:08.870 Jasmin Multani: Let’s break this up into two.

23 00:02:09.039 ⇒ 00:02:10.880 Jasmin Multani: So this will be the visuals.

24 00:02:13.370 ⇒ 00:02:20.710 Jasmin Multani: And let’s… do something… let’s cut up a different ticket for the Omni sheet.

25 00:02:21.070 ⇒ 00:02:30.690 Jasmin Multani: just so we can be better. I think you’re timeboxing it well, but I just want to show Shivani, like, this is how much time it really takes for these separate pieces to be done.

26 00:02:31.300 ⇒ 00:02:32.080 Jasmin Multani: Okay.

27 00:02:32.170 ⇒ 00:02:38.910 Advait Nandakumar Menon: Before you create this, there is the other ticket. I think we spoke about it yesterday as well, the net sales.

28 00:02:39.470 ⇒ 00:02:46.300 Advait Nandakumar Menon: dashboard, is that… that had something to do with the Google Sheet. Do you want to check that once before creating this?

29 00:02:49.560 ⇒ 00:02:50.095 Advait Nandakumar Menon: Oh.

30 00:02:51.040 ⇒ 00:02:55.970 Jasmin Multani: That, I think, was a separate sales…

31 00:02:56.400 ⇒ 00:02:59.180 Advait Nandakumar Menon: Oh, okay, yeah, I see it now, it’s 366.

32 00:03:00.320 ⇒ 00:03:03.009 Jasmin Multani: Yeah, that was a separate sales.

33 00:03:04.040 ⇒ 00:03:04.650 Advait Nandakumar Menon: Meal.

34 00:03:04.650 ⇒ 00:03:06.570 Jasmin Multani: I want you to backtrack from this.

35 00:03:08.830 ⇒ 00:03:09.520 Advait Nandakumar Menon: Okay.

36 00:03:10.090 ⇒ 00:03:19.550 Jasmin Multani: So, backtrack, good stops, recreate the summary tab on course.

37 00:03:20.110 ⇒ 00:03:21.490 Jasmin Multani: cute shit.

38 00:03:24.170 ⇒ 00:03:30.030 Jasmin Multani: Create a stand alone on the shape.

39 00:03:31.180 ⇒ 00:03:32.190 Jasmin Multani: cheat.

40 00:03:32.730 ⇒ 00:03:34.460 Jasmin Multani: Thank you, Jocelyn.

41 00:03:35.100 ⇒ 00:03:36.270 Jasmin Multani: to validate.

42 00:03:52.530 ⇒ 00:03:53.720 Jasmin Multani: That one’s this.

43 00:03:54.910 ⇒ 00:03:55.640 Advait Nandakumar Menon: Hmm.

44 00:03:55.640 ⇒ 00:03:58.590 Jasmin Multani: Gonna be straightforward, and then,

45 00:03:59.890 ⇒ 00:04:10.740 Jasmin Multani: Make sure… make sure we understand which… formulas, surely rollover.

46 00:04:12.030 ⇒ 00:04:15.220 Jasmin Multani: Versus need to be adapted.

47 00:04:16.290 ⇒ 00:04:24.480 Jasmin Multani: Ideally, Grasp the cursor on to, adapt the formulas.

48 00:04:25.230 ⇒ 00:04:26.910 Jasmin Multani: So, we’re tracking.

49 00:04:27.300 ⇒ 00:04:28.330 Jasmin Multani: Simpler.

50 00:04:30.380 ⇒ 00:04:34.059 Jasmin Multani: Especially the array for dates.

51 00:04:37.920 ⇒ 00:04:39.900 Jasmin Multani: Does this feel good? Straightforward.

52 00:04:39.900 ⇒ 00:04:41.520 Advait Nandakumar Menon: Yep, yep, yep.

53 00:04:42.080 ⇒ 00:04:43.699 Jasmin Multani: Let’s do the… oh!

54 00:04:46.860 ⇒ 00:04:50.770 Jasmin Multani: And then… This is the newest monastery.

55 00:05:10.020 ⇒ 00:05:13.750 Jasmin Multani: This one, and then backlog, they should be…

56 00:05:14.450 ⇒ 00:05:18.770 Jasmin Multani: To do, and then this should be… Yeah.

57 00:05:18.890 ⇒ 00:05:20.510 Jasmin Multani: This week’s cycle.

58 00:05:23.470 ⇒ 00:05:25.909 Jasmin Multani: So, let’s start off with that.

59 00:05:26.030 ⇒ 00:05:31.010 Jasmin Multani: And then, this is just gonna be… Look at it.

60 00:05:33.040 ⇒ 00:05:34.640 Jasmin Multani: And then…

61 00:05:37.850 ⇒ 00:05:40.829 Jasmin Multani: This is gonna be building that new…

62 00:05:45.660 ⇒ 00:05:50.509 Jasmin Multani: Men… Oh, there was a funnel thing, too.

63 00:05:53.440 ⇒ 00:05:54.370 Jasmin Multani: Sweet.

64 00:06:05.080 ⇒ 00:06:06.150 Jasmin Multani: Oh my.

65 00:06:14.360 ⇒ 00:06:15.240 Jasmin Multani: First.

66 00:06:16.270 ⇒ 00:06:17.299 Jasmin Multani: Forget it.

67 00:06:22.120 ⇒ 00:06:28.909 Jasmin Multani: First, second, third, have… have one cut that does, all.

68 00:07:14.290 ⇒ 00:07:16.949 Jasmin Multani: Don’t think this needs to be product category.

69 00:07:18.420 ⇒ 00:07:20.709 Jasmin Multani: This, order funnel drop-off.

70 00:07:21.880 ⇒ 00:07:22.590 Advait Nandakumar Menon: Oh, God.

71 00:07:26.360 ⇒ 00:07:27.340 Jasmin Multani: Let me see…

72 00:07:28.070 ⇒ 00:07:33.389 Advait Nandakumar Menon: Wait, can you repeat that? I lost my… I blanked out. What did you say about the funnel drop-off?

73 00:07:33.740 ⇒ 00:07:38.319 Jasmin Multani: So, funnel drop-off, it’s gonna be, like, the first, second, third order.

74 00:07:38.450 ⇒ 00:07:43.169 Jasmin Multani: And it’s gonna be all of this information.

75 00:07:43.640 ⇒ 00:07:44.340 Advait Nandakumar Menon: Okay.

76 00:07:44.340 ⇒ 00:07:50.379 Jasmin Multani: The very top, and then… Sequentially, like, what’s the first, second, and third you want it to be?

77 00:07:51.000 ⇒ 00:08:00.670 Jasmin Multani: filterable by time, that’s gonna be, like, the generic that, Shivani’s gonna benchmark against. And right next to it, we’re gonna do,

78 00:08:00.890 ⇒ 00:08:07.619 Jasmin Multani: A similar visual, but that one does… is filterable by time and partner segments.

79 00:08:08.590 ⇒ 00:08:09.630 Advait Nandakumar Menon: Okay, okay.

80 00:08:09.630 ⇒ 00:08:14.620 Jasmin Multani: We just want to look at order. We don’t want to look at… because, like, right here, I don’t see any split…

81 00:08:14.770 ⇒ 00:08:17.199 Jasmin Multani: Of sparkling or drink mix.

82 00:08:17.360 ⇒ 00:08:23.319 Jasmin Multani: So, let’s not do sparkling drink mix, just filter it by segment and time.

83 00:08:23.910 ⇒ 00:08:24.780 Advait Nandakumar Menon: Okay, okay.

84 00:08:24.780 ⇒ 00:08:30.059 Jasmin Multani: Then over here… This is gonna be, like…

85 00:08:31.910 ⇒ 00:08:38.760 Jasmin Multani: Hold up, this is gonna… I think the sales is gonna be the… Clustered bar chart.

86 00:08:42.679 ⇒ 00:08:44.709 Jasmin Multani: So it’s gonna be 3.

87 00:08:54.579 ⇒ 00:08:55.279 Jasmin Multani: Delete.

88 00:09:03.419 ⇒ 00:09:08.939 Jasmin Multani: So, under sales… Sales, average owner, volume…

89 00:09:13.119 ⇒ 00:09:13.979 Jasmin Multani: Oh.

90 00:09:17.480 ⇒ 00:09:19.430 Advait Nandakumar Menon: I’m… I’m not sure if this…

91 00:09:20.870 ⇒ 00:09:23.290 Advait Nandakumar Menon: Was in this ticket or something else, but…

92 00:09:23.690 ⇒ 00:09:31.229 Advait Nandakumar Menon: I’m not able to find the ticket where we are supposed to rename what was called Wholesale revenue to just…

93 00:09:32.250 ⇒ 00:09:35.150 Advait Nandakumar Menon: Wholesale sales, do you remember that?

94 00:09:35.330 ⇒ 00:09:36.790 Jasmin Multani: I think it was a separate ticket.

95 00:09:37.490 ⇒ 00:09:38.470 Advait Nandakumar Menon: Yeah, I’m not…

96 00:09:39.650 ⇒ 00:09:45.780 Advait Nandakumar Menon: able to find it, and then I remember it being within one of the wholesale, I mean, the dashboard tickets.

97 00:09:46.970 ⇒ 00:09:52.599 Jasmin Multani: There’s another, dashboard ticket I can show you. Let me just decide…

98 00:09:52.600 ⇒ 00:09:55.240 Advait Nandakumar Menon: Sorry for… Disturbing you.

99 00:09:55.990 ⇒ 00:09:58.970 Jasmin Multani: Okay, so that should be… okay.

100 00:09:59.480 ⇒ 00:10:01.479 Jasmin Multani: These two should be clustered.

101 00:10:03.140 ⇒ 00:10:04.630 Jasmin Multani: And then…

102 00:10:09.620 ⇒ 00:10:11.370 Jasmin Multani: Beat, wow.

103 00:10:11.550 ⇒ 00:10:14.490 Jasmin Multani: Bars with lines.

104 00:10:22.170 ⇒ 00:10:24.390 Jasmin Multani: Period over period.

105 00:10:25.400 ⇒ 00:10:28.370 Jasmin Multani: I need this period over period.

106 00:10:30.760 ⇒ 00:10:35.040 Jasmin Multani: Scales… At their age.

107 00:10:35.690 ⇒ 00:10:37.040 Jasmin Multani: Value…

108 00:10:41.160 ⇒ 00:10:42.080 Jasmin Multani: Indeed.

109 00:10:46.500 ⇒ 00:10:47.300 Jasmin Multani: Mr.

110 00:11:18.480 ⇒ 00:11:20.269 Jasmin Multani: So, basically, you’re gonna have…

111 00:11:24.980 ⇒ 00:11:27.580 Jasmin Multani: Two stacked clusters.

112 00:11:29.790 ⇒ 00:11:39.600 Jasmin Multani: You’re gonna have… 1… Of the bars with lines.

113 00:11:42.210 ⇒ 00:11:45.740 Jasmin Multani: And then… two of these funnels.

114 00:11:46.570 ⇒ 00:11:50.489 Jasmin Multani: And, when you’re making this.

115 00:11:50.620 ⇒ 00:11:54.109 Jasmin Multani: Think about it as going sequentially, right?

116 00:11:54.110 ⇒ 00:11:55.330 Advait Nandakumar Menon: Right, yeah.

117 00:11:55.500 ⇒ 00:12:02.259 Jasmin Multani: So when you’re doing the funnel, it’s like first, then second, then third.

118 00:12:02.870 ⇒ 00:12:05.540 Jasmin Multani: She also was gonna look down, be like.

119 00:12:06.610 ⇒ 00:12:08.959 Jasmin Multani: Oh, we should also do that.

120 00:12:09.850 ⇒ 00:12:12.739 Jasmin Multani: Actually, no, I don’t think we need Optic Partners at all.

121 00:12:17.970 ⇒ 00:12:22.380 Jasmin Multani: Newly turned… oh, yeah, she wanted the newly turned stuff with the at-risk.

122 00:12:29.470 ⇒ 00:12:32.380 Jasmin Multani: Maybe we can ask where…

123 00:12:36.560 ⇒ 00:12:43.849 Jasmin Multani: Let’s see how volatile this is. Okay, let’s do…

124 00:12:49.090 ⇒ 00:12:52.039 Jasmin Multani: Personally, I think there should be a table.

125 00:12:57.200 ⇒ 00:13:07.229 Jasmin Multani: Because the… it’s not super noisy in between, and I think this is gonna be better if we, like, created, like, an alert.

126 00:13:07.370 ⇒ 00:13:10.779 Jasmin Multani: out of this table, like a conditional format, being like, hey.

127 00:13:10.780 ⇒ 00:13:12.429 Advait Nandakumar Menon: Okay. Okay.

128 00:13:12.430 ⇒ 00:13:18.900 Jasmin Multani: like, that’s what I’m gonna pitch to her, that we can discuss later, but I think the… this should be less of a vision.

129 00:13:19.000 ⇒ 00:13:27.579 Jasmin Multani: visual graph, more of a table, that’s, like, this is the period over period growth, this is, like…

130 00:13:29.550 ⇒ 00:13:35.790 Jasmin Multani: I’ve done… I’ve done… I’ve done tables where it’s, like, it gives a numerical value, but then…

131 00:13:36.020 ⇒ 00:13:41.540 Jasmin Multani: There’s an additional column that’s purely a visual, and it says… if it’s… if it’s…

132 00:13:41.730 ⇒ 00:13:48.390 Jasmin Multani: In a good trend, it’s green. If it’s a negative trend, it’s a… it’s in red. But then the width of the bar

133 00:13:49.190 ⇒ 00:13:52.230 Jasmin Multani: We add a visual bar for each individual row.

134 00:13:52.230 ⇒ 00:13:56.950 Advait Nandakumar Menon: Oh, yeah, yeah, yeah. I’ve seen Michelle’s link that Amazon was saying, yeah.

135 00:13:56.950 ⇒ 00:14:08.299 Jasmin Multani: the width of the bar is going to be a near miracle value, which could be, like, either month-over-month growth, or the raw value. I’m gonna show that to her, because I feel like that’s better.

136 00:14:08.630 ⇒ 00:14:13.640 Jasmin Multani: Then, making this, like, a cluster bar chart.

137 00:14:14.370 ⇒ 00:14:15.310 Jasmin Multani: partner base.

138 00:14:15.310 ⇒ 00:14:16.050 Advait Nandakumar Menon: Okay.

139 00:14:20.180 ⇒ 00:14:25.039 Jasmin Multani: Table 1, table with digital.

140 00:14:32.180 ⇒ 00:14:35.339 Jasmin Multani: I wonder if we can do this. Need to see…

141 00:14:36.040 ⇒ 00:14:39.179 Advait Nandakumar Menon: Yeah, I need to see if Omni supports this, but…

142 00:14:39.330 ⇒ 00:14:40.080 Jasmin Multani: Yeah.

143 00:14:40.080 ⇒ 00:14:41.690 Advait Nandakumar Menon: Should we be able to…

144 00:14:41.690 ⇒ 00:14:44.649 Jasmin Multani: Yeah, I’d be pretty surprised if it didn’t, like…

145 00:14:45.380 ⇒ 00:14:49.830 Jasmin Multani: I’ve seen it in so many other… Software?

146 00:14:50.220 ⇒ 00:14:51.860 Jasmin Multani: I just felt like they didn’t have it.

147 00:14:59.690 ⇒ 00:15:02.240 Jasmin Multani: We’ll make this closer to the top.

148 00:15:05.320 ⇒ 00:15:11.110 Jasmin Multani: Okay, so I think… I’m thinking this is how it should be visually. It’s like, first the funnel drop.

149 00:15:11.450 ⇒ 00:15:20.679 Jasmin Multani: Then the bars with lines, generic summary-level information, and then we click into the, segmentations.

150 00:15:21.220 ⇒ 00:15:21.900 Advait Nandakumar Menon: Okay.

151 00:15:21.900 ⇒ 00:15:25.860 Jasmin Multani: So, then it’s the cluster bar charts, then it’s the partner base info.

152 00:15:34.750 ⇒ 00:15:42.270 Jasmin Multani: And then… I’m gonna look into this, my… 2D… turn on something?

153 00:15:44.510 ⇒ 00:15:50.069 Jasmin Multani: But, basically… Again, like last time, every time you make an edit.

154 00:15:51.340 ⇒ 00:15:52.700 Jasmin Multani: just hit publish.

155 00:15:52.970 ⇒ 00:15:59.370 Jasmin Multani: We can… Shivani can also, if she happens to double-click into things on her own, she knows the progress.

156 00:15:59.490 ⇒ 00:16:02.089 Jasmin Multani: And, like, it’s a clear sign-off from all of us.

157 00:16:04.510 ⇒ 00:16:09.259 Jasmin Multani: And then this… I need to check.

158 00:16:10.990 ⇒ 00:16:12.559 Jasmin Multani: I need to check this.

159 00:16:14.220 ⇒ 00:16:15.010 Jasmin Multani: On my own.

160 00:16:15.010 ⇒ 00:16:16.600 Advait Nandakumar Menon: But I think…

161 00:16:16.600 ⇒ 00:16:27.820 Jasmin Multani: I think because we’ll… I have a feeling that because we’re gonna migrate from the OmniSheets and build the raw data tables, my gut tells me that this won’t be a concern anymore.

162 00:16:28.020 ⇒ 00:16:33.940 Jasmin Multani: But, this is gonna be something I… we say I need to check once the Omni Sheets are over.

163 00:16:35.060 ⇒ 00:16:35.560 Advait Nandakumar Menon: Yep.

164 00:16:35.560 ⇒ 00:16:48.069 Jasmin Multani: busyness… I have a feeling this will… these are just… think of these as, like, complaints that she had, but now that we’re reframing the dashboard, these all might go away.

165 00:16:48.620 ⇒ 00:16:50.120 Advait Nandakumar Menon: Okay, okay.

166 00:16:50.270 ⇒ 00:16:51.230 Jasmin Multani: Fuck you.

167 00:16:57.000 ⇒ 00:17:02.919 Jasmin Multani: How does this feel? Like, do you think this is… This is probably gonna be.

168 00:17:02.920 ⇒ 00:17:03.370 Advait Nandakumar Menon: Yep.

169 00:17:03.370 ⇒ 00:17:05.710 Jasmin Multani: This one’s gonna be, like, a 48-hour SLA, huh?

170 00:17:06.410 ⇒ 00:17:10.109 Advait Nandakumar Menon: Yeah, yeah, this… I can turn it around with,

171 00:17:10.640 ⇒ 00:17:15.460 Advait Nandakumar Menon: 48 hours, and I’ll first start with the sheet migration, so…

172 00:17:15.980 ⇒ 00:17:23.100 Advait Nandakumar Menon: That’s the thing, but before both of these, yeah, circling back to that ticket for renaming.

173 00:17:23.300 ⇒ 00:17:24.150 Jasmin Multani: Yeah.

174 00:17:24.150 ⇒ 00:17:31.790 Advait Nandakumar Menon: The wholesale revenue to sales, trying to find it, but I… Not able to yet.

175 00:17:32.040 ⇒ 00:17:36.629 Jasmin Multani: Yeah, that’s all good. I think it… things got shifted around.

176 00:17:37.080 ⇒ 00:17:41.090 Jasmin Multani: I think, Garrett’s been changing the… linear.

177 00:17:41.090 ⇒ 00:17:41.410 Advait Nandakumar Menon: Okay.

178 00:17:42.170 ⇒ 00:17:42.750 Jasmin Multani: So let’s…

179 00:17:53.670 ⇒ 00:17:54.690 Jasmin Multani: Is it this one?

180 00:17:55.300 ⇒ 00:18:01.780 Advait Nandakumar Menon: No, this is regarding the point of sale and retail, which I’m here to update Blobby for this, so…

181 00:18:01.920 ⇒ 00:18:03.440 Advait Nandakumar Menon: This is not wholesale.

182 00:18:39.350 ⇒ 00:18:44.530 Jasmin Multani: Did I… is that the one where we were like, oh, a wish has to start on this, and then?

183 00:18:45.500 ⇒ 00:18:46.980 Jasmin Multani: the DVT stuff?

184 00:18:48.210 ⇒ 00:18:51.940 Advait Nandakumar Menon: No, that’s retail, that’s, again, the point.

185 00:18:52.330 ⇒ 00:18:58.130 Advait Nandakumar Menon: That’s where our… point of sales were appearing, like, POS sales, and…

186 00:18:58.830 ⇒ 00:19:01.479 Advait Nandakumar Menon: Similar things. That’s for retail, again.

187 00:19:02.990 ⇒ 00:19:05.919 Jasmin Multani: And you’re seeing revenue. Okay, revenue now.

188 00:19:05.920 ⇒ 00:19:14.090 Advait Nandakumar Menon: Yeah, I’m talking about wholesale, wherein, currently, within the dashboards, if you see, it’s all wholesale revenue, wholesale sales.

189 00:19:17.020 ⇒ 00:19:23.009 Jasmin Multani: I think, this is the closest thing I can remember.

190 00:19:24.880 ⇒ 00:19:26.090 Advait Nandakumar Menon: Oh yeah, I think.

191 00:19:27.370 ⇒ 00:19:29.189 Advait Nandakumar Menon: Yeah, this is the one, yeah.

192 00:19:30.000 ⇒ 00:19:32.029 Jasmin Multani: Cool, cool, cool, cool, cool.

193 00:19:32.030 ⇒ 00:19:45.009 Advait Nandakumar Menon: So I think what I’m trying to say is I have to start from here first, because the topics and all of it has it as wholesale revenue, and the topic is what we are using to build the dashboard, so…

194 00:19:45.820 ⇒ 00:19:46.660 Jasmin Multani: Okay.

195 00:19:46.880 ⇒ 00:19:49.410 Advait Nandakumar Menon: Yeah, I need to… Yeah.

196 00:19:49.900 ⇒ 00:19:55.509 Advait Nandakumar Menon: But having said that, The current topics based on which

197 00:19:55.690 ⇒ 00:20:00.530 Advait Nandakumar Menon: the Executive Pulse is built, the wholesale one.

198 00:20:01.450 ⇒ 00:20:07.460 Advait Nandakumar Menon: That one is different from the dataset that’s gonna, basically come from the OmniSheet.

199 00:20:07.830 ⇒ 00:20:10.179 Advait Nandakumar Menon: So that’ll be another topic, so…

200 00:20:11.220 ⇒ 00:20:20.160 Advait Nandakumar Menon: What I can first do is tackle the OmniSheet, and if the dataset that’s handling the OmniSheet has to test wholesale sales.

201 00:20:20.320 ⇒ 00:20:24.610 Advait Nandakumar Menon: I can build whatever visuals here are listed out here from that.

202 00:20:25.140 ⇒ 00:20:26.400 Advait Nandakumar Menon: Does that sound good?

203 00:20:27.460 ⇒ 00:20:32.440 Jasmin Multani: Or maybe we should, like, first be, like, let’s build the topics out first.

204 00:20:33.920 ⇒ 00:20:34.890 Jasmin Multani: So…

205 00:20:34.890 ⇒ 00:20:41.029 Advait Nandakumar Menon: Yeah, no, my point is that whatever topics we have used now for the current dashboards.

206 00:20:41.280 ⇒ 00:20:51.419 Advait Nandakumar Menon: the current state, I mean, if we are going to rename it from wholesale Revenue to Wholesale sales, and then not going to use it, then… I mean, what’s the point?

207 00:20:55.970 ⇒ 00:21:02.759 Jasmin Multani: So you’re saying that whatever is creating So… First, OmniSheets.

208 00:21:03.090 ⇒ 00:21:05.949 Jasmin Multani: Yep. Decide, okay, what are the old…

209 00:21:07.920 ⇒ 00:21:24.849 Jasmin Multani: I think approach the OmniSheets as if we didn’t do anything else before. Be like, okay, what can be rolled over from Gsheet to OmniSheets? And then track, like, of what’s available from the OmniSheets, what can be mapped out to the topics today, that exist today?

210 00:21:24.870 ⇒ 00:21:30.809 Jasmin Multani: And then, just size out, like, okay, we need to have new topics in order to complete.

211 00:21:31.930 ⇒ 00:21:38.299 Jasmin Multani: the transfer, the OmniSheets information to visuals. Just give me that. Just give me a snapshot.

212 00:21:38.510 ⇒ 00:21:45.869 Advait Nandakumar Menon: Yeah, my gut says those topics already exist to whatever support the data and the Omni sheet, the Google Sheet.

213 00:21:46.040 ⇒ 00:21:52.699 Advait Nandakumar Menon: So, it was there for the retail as well, as far as I remember, so it’s a similar setting for wholesale, so…

214 00:21:54.820 ⇒ 00:22:12.790 Advait Nandakumar Menon: I’m thinking that those same topics should be enough for the visuals you’re asking, I mean, for the edits to the wholesale executor polls, and whatever topics we have as revenue or whatever may not even be needed, and that’s the reason I’m thinking it’s not worth

215 00:22:13.420 ⇒ 00:22:16.120 Advait Nandakumar Menon: to rename those things to Salesforce.

216 00:22:17.610 ⇒ 00:22:20.060 Jasmin Multani: Okay,

217 00:22:20.620 ⇒ 00:22:26.510 Jasmin Multani: I think there was a point where Shivani… I need to, like, double-click into the sales stuff, because I think even last time.

218 00:22:26.910 ⇒ 00:22:30.500 Jasmin Multani: Shivani’s like, oh, this sales data is,

219 00:22:30.910 ⇒ 00:22:33.650 Jasmin Multani: available now, let’s make a dashboard.

220 00:22:33.880 ⇒ 00:22:38.370 Jasmin Multani: And I think I’m also getting confused as to, like, what she means by sales.

221 00:22:38.470 ⇒ 00:22:43.590 Jasmin Multani: So I’m gonna be clear with her to be like.

222 00:22:44.220 ⇒ 00:22:47.989 Jasmin Multani: This is the available data that we initially scoped out last month.

223 00:22:48.180 ⇒ 00:22:49.820 Jasmin Multani: Yeah.

224 00:22:49.820 ⇒ 00:23:03.919 Advait Nandakumar Menon: Just to be clear, the whole wholesale revenue… sorry for cutting you off, but the whole confusion with respect to wholesale revenue came from the fact that the… if you remember the first wholesale spec we built the dashboards from.

225 00:23:04.040 ⇒ 00:23:10.979 Advait Nandakumar Menon: All of it listed it as revenue, and that’s the reason, also, the topics I built have it as

226 00:23:12.390 ⇒ 00:23:14.410 Advait Nandakumar Menon: Revenue in it.

227 00:23:14.950 ⇒ 00:23:18.199 Jasmin Multani: And you’re saying that we may not even use those topics anymore.

228 00:23:18.720 ⇒ 00:23:22.000 Advait Nandakumar Menon: Yeah, if we are going by the data in the Google Sheet, yeah.

229 00:23:22.780 ⇒ 00:23:23.610 Jasmin Multani: Okay.

230 00:23:24.270 ⇒ 00:23:28.849 Advait Nandakumar Menon: The lines are there for that, since we implemented the color palette, it’s coming in white, so…

231 00:23:28.850 ⇒ 00:23:29.490 Jasmin Multani: Okay, I guess.

232 00:23:29.490 ⇒ 00:23:30.420 Advait Nandakumar Menon: Yeah, yeah.

233 00:23:30.640 ⇒ 00:23:42.080 Jasmin Multani: So, what we’re saying is… that subset, that task that I wrote, Will not be a blocker.

234 00:23:42.690 ⇒ 00:23:43.300 Jasmin Multani: like.

235 00:23:43.300 ⇒ 00:23:54.639 Advait Nandakumar Menon: It will not be a blocker as long as whatever data that is going to be built or already available for the Google Sheet is going to be used for the other visuals.

236 00:23:54.750 ⇒ 00:24:00.099 Advait Nandakumar Menon: You can have it there for now, or strike it out or whatever, but yeah.

237 00:24:00.380 ⇒ 00:24:10.840 Jasmin Multani: This is all nice to have, but shouldn’t prevent, this ticket from being… Yeah.

238 00:24:11.050 ⇒ 00:24:12.390 Jasmin Multani: Visuals.

239 00:24:13.110 ⇒ 00:24:13.830 Advait Nandakumar Menon: Yep.

240 00:24:14.460 ⇒ 00:24:19.980 Advait Nandakumar Menon: As long as that data set, which I’m… the other one I’m talking about, is enough for these visuals.

241 00:24:20.840 ⇒ 00:24:23.650 Jasmin Multani: And if it’s… how are you establishing it’s not going to be enough?

242 00:24:24.940 ⇒ 00:24:26.530 Advait Nandakumar Menon: Because…

243 00:24:27.900 ⇒ 00:24:42.939 Advait Nandakumar Menon: like I said, that is again on a weekly and a monthly grain, like, same as the spreadsheet, so… if you think that is fair enough, and that’s all is required for the visuals and whatever edits we have given on this ticket, then it should be fine.

244 00:24:46.310 ⇒ 00:24:51.920 Jasmin Multani: I think for now, let’s stick to this, and then I’m just gonna ask for, like.

245 00:24:52.300 ⇒ 00:24:57.269 Jasmin Multani: of these tabs, what do you want to get built out? Because I don’t think we… because, like.

246 00:24:58.430 ⇒ 00:25:02.120 Jasmin Multani: We’re gonna… we’re backtracking from the core questions.

247 00:25:02.730 ⇒ 00:25:03.300 Advait Nandakumar Menon: Yep.

248 00:25:04.730 ⇒ 00:25:07.220 Jasmin Multani: I’ll probably add those core questions here.

249 00:25:07.400 ⇒ 00:25:14.789 Jasmin Multani: So… Potential questions, da-da-da, and then we’re gonna go to wholesale.

250 00:25:18.740 ⇒ 00:25:25.920 Jasmin Multani: what impact do merchandising… I don’t know how this plays into the… any available data.

251 00:25:26.840 ⇒ 00:25:31.689 Advait Nandakumar Menon: Yeah, merchandising is… Merchandising with respect to wholesale is…

252 00:25:33.920 ⇒ 00:25:37.199 Advait Nandakumar Menon: new area for me, I haven’t heard as well.

253 00:25:37.690 ⇒ 00:25:49.020 Jasmin Multani: I think when she pulled that up, too, she was also like, question mark, question mark. And I understand that, like, it does impact, it does impact things, like the longevity.

254 00:25:50.090 ⇒ 00:25:57.669 Jasmin Multani: of the sparkling cans, I guess, but we have drink mixes, so I don’t think fridges is, like, the right thing.

255 00:25:57.860 ⇒ 00:26:00.280 Jasmin Multani: I’ll ask her to clarify that one.

256 00:26:00.950 ⇒ 00:26:01.560 Advait Nandakumar Menon: Yep.

257 00:26:02.210 ⇒ 00:26:03.100 Advait Nandakumar Menon: That’s fine.

258 00:26:08.560 ⇒ 00:26:09.810 Jasmin Multani: Awesome.

259 00:26:23.030 ⇒ 00:26:29.050 Jasmin Multani: And for the churning stuff… Top job definitions.

260 00:26:29.860 ⇒ 00:26:31.890 Jasmin Multani: Up definition.

261 00:26:35.000 ⇒ 00:26:37.790 Jasmin Multani: Churning versus at risk.

262 00:26:39.550 ⇒ 00:26:40.560 Jasmin Multani: Versus…

263 00:26:43.630 ⇒ 00:26:44.839 Jasmin Multani: near that, too.

264 00:26:49.860 ⇒ 00:26:54.200 Jasmin Multani: Let’s change one time… impact.

265 00:26:57.510 ⇒ 00:27:01.559 Advait Nandakumar Menon: And all this churning and at-risk is already available in the spreadsheet as well, right?

266 00:27:02.840 ⇒ 00:27:03.870 Jasmin Multani: Yeah…

267 00:27:04.970 ⇒ 00:27:07.390 Advait Nandakumar Menon: I’m not wrong. Yeah, yeah, okay.

268 00:27:07.390 ⇒ 00:27:08.180 Jasmin Multani: Risk.

269 00:27:08.380 ⇒ 00:27:08.909 Jasmin Multani: Oh, really?

270 00:27:09.380 ⇒ 00:27:11.500 Jasmin Multani: Optive, newly trained.

271 00:27:12.250 ⇒ 00:27:18.250 Jasmin Multani: There’s the home order between 180, and, like, this is the definition.

272 00:27:19.360 ⇒ 00:27:20.030 Advait Nandakumar Menon: Okay.

273 00:27:34.190 ⇒ 00:27:38.569 Jasmin Multani: Is it helpful when I… Do these live to get cuts with you?

274 00:27:39.370 ⇒ 00:27:47.389 Advait Nandakumar Menon: Yeah, yeah, it definitely is, gives you more context, like, apart from what I’ve already listed in the ticket, which is even more detailed, so…

275 00:27:48.310 ⇒ 00:27:49.690 Advait Nandakumar Menon: I appreciate this.

276 00:28:12.740 ⇒ 00:28:14.450 Jasmin Multani: Going to the graphs…

277 00:28:23.860 ⇒ 00:28:33.750 Jasmin Multani: You know, we have one minute left. I started looking… is there anything else you want to brainstorm or talk about?

278 00:28:34.410 ⇒ 00:28:40.860 Advait Nandakumar Menon: I think the only thing is from last evening and last Friday about the…

279 00:28:40.860 ⇒ 00:28:41.220 Jasmin Multani: Yeah.

280 00:28:41.220 ⇒ 00:28:43.019 Advait Nandakumar Menon: Yeah, you know what I’m talking about.

281 00:28:43.020 ⇒ 00:28:43.509 Jasmin Multani: Yeah, yeah.

282 00:28:43.510 ⇒ 00:28:46.339 Advait Nandakumar Menon: And… with respect to the SKUs.

283 00:28:46.450 ⇒ 00:28:51.049 Advait Nandakumar Menon: Between the two tables, I told you the reason as well. Is that fair enough?

284 00:28:51.810 ⇒ 00:28:52.739 Advait Nandakumar Menon: There you go.

285 00:29:10.590 ⇒ 00:29:17.280 Jasmin Multani: Made from retail… no sale equals no grow. Yeah.

286 00:29:17.430 ⇒ 00:29:21.610 Jasmin Multani: So that’s also something I called out to Shivani and Awash, like.

287 00:29:21.850 ⇒ 00:29:26.759 Jasmin Multani: Even if something’s not sold, we still want that to be tracked.

288 00:29:26.930 ⇒ 00:29:32.420 Jasmin Multani: And that’s not on you, I think that’s just something… .

289 00:29:35.170 ⇒ 00:29:46.930 Advait Nandakumar Menon: But how can it be tracked within the… so, as you know, different topics use different tables. So, within the sales table, I don’t think it makes sense to track it.

290 00:29:47.210 ⇒ 00:29:48.080 Jasmin Multani: If something…

291 00:29:48.080 ⇒ 00:30:03.670 Advait Nandakumar Menon: is not sold, and that’s the reason from the other topic, which uses the sell-through table, it has that information, and it’s showing us the unit sold for that SKU is zero, basically, and that’s why it comes in that table and not in the other one.

292 00:30:04.030 ⇒ 00:30:04.670 Jasmin Multani: Yeah, yeah.

293 00:30:04.670 ⇒ 00:30:05.340 Advait Nandakumar Menon: Yeah.

294 00:30:06.840 ⇒ 00:30:08.409 Jasmin Multani: I would eventually…

295 00:30:08.750 ⇒ 00:30:20.869 Jasmin Multani: I mean, it’s not gonna be an immediate ask, because we don’t even have this data right now, but eventually I want us to march towards views where it’s like, this is the full UPC,

296 00:30:21.720 ⇒ 00:30:26.050 Jasmin Multani: Of inventory that is available for sale and that is live.

297 00:30:26.410 ⇒ 00:30:28.879 Jasmin Multani: How do sales track against that?

298 00:30:29.070 ⇒ 00:30:33.749 Jasmin Multani: I hear you that, you know, for that table, it should only be things that are sold.

299 00:30:34.970 ⇒ 00:30:39.150 Jasmin Multani: But I’d say, like, down the line, I would… I’ll probably…

300 00:30:40.640 ⇒ 00:30:49.289 Jasmin Multani: have some sort of separate table that, like, enriches, like, sanity checks, like, hey, you’re not seeing a sale because

301 00:30:50.650 ⇒ 00:30:51.649 Advait Nandakumar Menon: Oh, the reason.

302 00:30:51.930 ⇒ 00:31:11.289 Jasmin Multani: because it was never sent to this, store, or it’s been, it’s, it’s low, it’s a, it’s a low production. Historically, like, people, like, the warehouses don’t really produce this that often. So, event… like, right now, I think the way it’s looking like is, like, we’re…

303 00:31:11.570 ⇒ 00:31:16.900 Jasmin Multani: Giving snapshots of what’s happening on the ground, but ideally in, like, the…

304 00:31:17.040 ⇒ 00:31:25.439 Jasmin Multani: VP-level dashboards, I want to have those root cause analysis, like, those basic go-to trends.

305 00:31:25.560 ⇒ 00:31:37.270 Jasmin Multani: That are common reasons, why something, is showing up as volatile. Those common reasons should eventually sit in those dashboards.

306 00:31:37.870 ⇒ 00:31:40.500 Jasmin Multani: It’s not gonna be a today thing, I think it’s gonna be a late summer thing.

307 00:31:40.500 ⇒ 00:31:41.330 Advait Nandakumar Menon: Yeah, yeah.

308 00:31:41.330 ⇒ 00:31:47.439 Jasmin Multani: as we develop our supply chain. But just, like,

309 00:31:48.070 ⇒ 00:31:53.890 Jasmin Multani: Just, like, for your own, like, development, or, like,

310 00:31:54.520 ⇒ 00:32:03.800 Jasmin Multani: a good, healthy dashboard will eventually get to a point where someone can look at the flag and be like, okay, what are the common denominator issues that I know

311 00:32:04.290 ⇒ 00:32:05.380 Jasmin Multani: are obvious.

312 00:32:05.380 ⇒ 00:32:06.440 Advait Nandakumar Menon: Right.

313 00:32:06.440 ⇒ 00:32:11.420 Jasmin Multani: okay, if the issue’s not coming up here, now I need a kickstart and escalation.

314 00:32:11.560 ⇒ 00:32:18.329 Jasmin Multani: and drive deeper. Because not every, every flag needs…

315 00:32:18.330 ⇒ 00:32:19.150 Advait Nandakumar Menon: Three archives.

316 00:32:21.120 ⇒ 00:32:33.160 Jasmin Multani: So I want… that’s where I’m trying to, like, buy back time, for analysts. But it’s not a current problem, because we don’t even have that UPC list today.

317 00:32:33.160 ⇒ 00:32:34.220 Advait Nandakumar Menon: Yeah, yeah.

318 00:32:34.570 ⇒ 00:32:36.309 Jasmin Multani: Good caveat that you caught.

319 00:32:37.110 ⇒ 00:32:42.360 Jasmin Multani: Okay, everything good? Anything else you want to talk about.

320 00:32:42.360 ⇒ 00:32:48.640 Advait Nandakumar Menon: Yeah. Yeah, so… I… yeah, I was asking you about the…

321 00:32:49.370 ⇒ 00:33:00.639 Advait Nandakumar Menon: San check… sanity check you were doing for the sell-through, the… I think it’s sales velocity, weeks of stock, and all that. All those metrics, basically, so…

322 00:33:00.640 ⇒ 00:33:12.409 Jasmin Multani: I haven’t checked that yet, but I actually checked that today. Yeah. Because I think this is gonna be a blocker… this is gonna get messier, so I’m gonna put that as my P0.

323 00:33:13.320 ⇒ 00:33:14.520 Jasmin Multani: Because it’s gonna get messy.

324 00:33:14.820 ⇒ 00:33:17.720 Advait Nandakumar Menon: Even in the table, like, I think…

325 00:33:18.000 ⇒ 00:33:21.679 Advait Nandakumar Menon: The daily sales velocity is called…

326 00:33:22.000 ⇒ 00:33:26.720 Advait Nandakumar Menon: I named it as average daily units per store, which I don’t think is the…

327 00:33:27.390 ⇒ 00:33:31.970 Advait Nandakumar Menon: correct definition for it, so… maybe another pair of eyes will help.

328 00:33:32.300 ⇒ 00:33:33.209 Jasmin Multani: Okay, okay, okay.

329 00:33:33.210 ⇒ 00:33:33.810 Advait Nandakumar Menon: Yeah.

330 00:33:34.050 ⇒ 00:33:40.379 Jasmin Multani: I have a feeling she’s not gonna lean on that one yet. I have a feeling she doesn’t fully understand.

331 00:33:42.540 ⇒ 00:33:43.779 Jasmin Multani: Hello! What’s on these.

332 00:33:43.780 ⇒ 00:33:44.160 Advait Nandakumar Menon: It feels like.

333 00:33:44.160 ⇒ 00:33:51.359 Jasmin Multani: So maybe that’ll buy us some time. But, I’m trying to get an answer by today on that.

334 00:33:51.360 ⇒ 00:33:52.810 Advait Nandakumar Menon: Yep.

335 00:33:53.340 ⇒ 00:33:54.130 Jasmin Multani: Cool.

336 00:33:54.810 ⇒ 00:33:58.509 Advait Nandakumar Menon: Yeah, that’s it from me. I don’t think I have anything else.

337 00:33:58.510 ⇒ 00:34:03.280 Jasmin Multani: Okay, cool, cool, cool. Question, are you working till… how often are you working till 10pm?

338 00:34:04.160 ⇒ 00:34:11.659 Advait Nandakumar Menon: Only when it’s really busy, like, yesterday I didn’t, so… it’s manageable for now.

339 00:34:11.920 ⇒ 00:34:13.040 Advait Nandakumar Menon: I would say.

340 00:34:13.460 ⇒ 00:34:16.039 Jasmin Multani: But I think last week you had multiple days where you’re…

341 00:34:16.040 ⇒ 00:34:22.360 Advait Nandakumar Menon: Oh, yeah, yeah, that… it was the… like I said, during… Because even for default.

342 00:34:22.540 ⇒ 00:34:25.700 Advait Nandakumar Menon: We had pretty, like.

343 00:34:26.130 ⇒ 00:34:30.990 Advait Nandakumar Menon: I don’t want to say it’s bad, but we got escalations from them last week, and

344 00:34:31.250 ⇒ 00:34:35.290 Advait Nandakumar Menon: Here, as well, we had to deliver the retail dashboard, so…

345 00:34:35.440 ⇒ 00:34:41.900 Advait Nandakumar Menon: I think last week was probably the busiest, but… Apart from that, it’s manageable.

346 00:34:43.670 ⇒ 00:34:45.959 Jasmin Multani: I don’t want you to work till dawn at the moment.

347 00:34:46.530 ⇒ 00:34:47.970 Jasmin Multani: on that, too. He’s like.

348 00:34:48.290 ⇒ 00:34:54.340 Jasmin Multani: That’s not a good sign if we’re… because eventually, like, pretty soon, we’re gonna have more clients.

349 00:34:54.909 ⇒ 00:35:06.530 Jasmin Multani: pretty interesting clients, and I’m like, I do, I definitely want them under my book, and if we’re only staffed on Element, but we’re working this aggressively, with them’s like.

350 00:35:06.960 ⇒ 00:35:11.909 Jasmin Multani: If you want this non-profit client and this clinical research client.

351 00:35:12.100 ⇒ 00:35:15.259 Jasmin Multani: And these 3 clients are very different from each other.

352 00:35:15.690 ⇒ 00:35:16.339 Advait Nandakumar Menon: This is, you know.

353 00:35:16.340 ⇒ 00:35:24.260 Jasmin Multani: Do you think it’s sustainable for us to be doing all three at once? And I’m like, right now, probably not, but that means we have to

354 00:35:24.600 ⇒ 00:35:33.550 Jasmin Multani: up the way we’re doing things. So, I know you’re ambitious, I know you like to get work done.

355 00:35:33.550 ⇒ 00:35:34.580 Advait Nandakumar Menon: But…

356 00:35:34.580 ⇒ 00:35:41.259 Jasmin Multani: Saying, telling people, like, hey, this is gonna break.

357 00:35:41.780 ⇒ 00:35:46.530 Jasmin Multani: the way we’re working is going to break. That’s also a very good…

358 00:35:46.870 ⇒ 00:35:56.079 Jasmin Multani: thing to say as ICs. I know I used to have issues with that, because I’m like, I don’t want people to think I’m weak, and I can’t do it, but…

359 00:35:56.800 ⇒ 00:36:03.930 Advait Nandakumar Menon: Yeah, we touched upon this topic in a one-on-one, like, I think…

360 00:36:04.060 ⇒ 00:36:12.190 Advait Nandakumar Menon: 2 weeks back, 3 weeks back, like, the… when my thing was formally extended, the contract was extended.

361 00:36:12.730 ⇒ 00:36:28.559 Advait Nandakumar Menon: I do feel it sometimes, but like I mentioned before, I’ve learned to speak up when things aren’t really feasible. For example, I think default itself, there was two deliverables on Friday, which

362 00:36:28.960 ⇒ 00:36:41.659 Advait Nandakumar Menon: One, I was able to get to, the other, like, by around 12pm on Fridays, it was pretty evident I won’t be able to get to it, so it’s not manageable. And I had that conversation with Greg as well, and he was happy to

363 00:36:41.900 ⇒ 00:36:48.219 Advait Nandakumar Menon: push it to Monday, and I was able to get it done yesterday, so… Yeah, sometimes I feel…

364 00:36:48.460 ⇒ 00:36:56.689 Advait Nandakumar Menon: Reluctant to… flag it, but other times, like, I feel confident in…

365 00:36:57.150 ⇒ 00:36:59.819 Advait Nandakumar Menon: raising it to you, or Greg, or whoever.

366 00:37:00.470 ⇒ 00:37:00.880 Jasmin Multani: Yeah.

367 00:37:00.880 ⇒ 00:37:02.599 Advait Nandakumar Menon: And so, yeah, yeah.

368 00:37:03.150 ⇒ 00:37:16.530 Jasmin Multani: just know it’s not gonna be a reflection of you, it’s gonna be a reflection of, did we… did Greg and I… did the CSO and the SL properly scope things? Did we over-promise? It’s gonna…

369 00:37:16.530 ⇒ 00:37:17.180 Advait Nandakumar Menon: Yep.

370 00:37:18.450 ⇒ 00:37:24.910 Jasmin Multani: you would not ever take the heat. I push back, and I think Shivani’s pretty straightforward.

371 00:37:27.160 ⇒ 00:37:33.010 Jasmin Multani: And it’s clear that, like, some of the specs that I had written out that I wanted, I’m like, oh, this is…

372 00:37:33.300 ⇒ 00:37:38.039 Jasmin Multani: way above what she would want, so I think that’s good time back.

373 00:37:38.040 ⇒ 00:37:38.570 Advait Nandakumar Menon: Yep.

374 00:37:38.780 ⇒ 00:37:45.399 Jasmin Multani: I think on my end, I also want to re-scope tickets so that it takes you, like, an hour and a half for each ticket.

375 00:37:45.720 ⇒ 00:37:46.420 Jasmin Multani: Yeah.

376 00:37:46.420 ⇒ 00:37:47.070 Advait Nandakumar Menon: Yep.

377 00:37:47.070 ⇒ 00:37:56.350 Jasmin Multani: So, I know that wholesale thing is a big chunk, so I’m gonna, like, spit it out into multiple tickets.

378 00:37:56.860 ⇒ 00:38:03.449 Jasmin Multani: So that, that way, like, the more granular we make the tickets, and the more…

379 00:38:04.240 ⇒ 00:38:15.269 Jasmin Multani: expected the turnaround time is. I think the better visibility for us to track, like, did we over-promise, on what we can deliver? Did I… did I, like.

380 00:38:15.480 ⇒ 00:38:21.629 Jasmin Multani: not accurately estimate. Even when I would be cutting tickets, I’d be like.

381 00:38:22.690 ⇒ 00:38:33.079 Jasmin Multani: oh, I opened these tickets two weeks ago, and it’s still not done. Probably because, like, it was not properly scoped. So, definitely…

382 00:38:33.350 ⇒ 00:38:41.930 Jasmin Multani: The path is usually, like, cut things up into bite-sized pieces, and then, be very trigger-happy on, like.

383 00:38:42.090 ⇒ 00:38:48.420 Jasmin Multani: Closing things out, because that’ll be, like, an underestimate of… how we’re peaceful.

384 00:38:49.240 ⇒ 00:38:52.769 Advait Nandakumar Menon: Yeah, yeah. And also, I think part of the reason is…

385 00:38:52.950 ⇒ 00:38:57.930 Advait Nandakumar Menon: we are all still getting used to Omni as a tool itself, and there is that

386 00:38:58.710 ⇒ 00:39:05.250 Advait Nandakumar Menon: point as well, so… I think down the lane, this should be… Seamless, I feel.

387 00:39:05.840 ⇒ 00:39:24.610 Jasmin Multani: Yeah, and whatever you’re, you know, kind of remixing on the Omni dashboard visual end, I do want to sit down, like, document that through, so that it’s just an automated process. It’s, like, very clear, like, in order for this clustered stack bar chart to happen, this is what you press.

388 00:39:25.020 ⇒ 00:39:25.410 Advait Nandakumar Menon: Yeah.

389 00:39:25.410 ⇒ 00:39:26.399 Jasmin Multani: unique, yeah.

390 00:39:26.960 ⇒ 00:39:29.669 Advait Nandakumar Menon: Yeah, I, I have made a Word document

391 00:39:29.870 ⇒ 00:39:39.200 Advait Nandakumar Menon: I’m planning to make… make it in a way to share it with others as well, but it basically has the code for the clustered bar chart, and…

392 00:39:39.850 ⇒ 00:39:45.289 Advait Nandakumar Menon: like, the useful links, like the Stack Overflow link, or what do I shared with Infred, I have stored it.

393 00:39:45.290 ⇒ 00:39:45.800 Jasmin Multani: Job.

394 00:39:45.800 ⇒ 00:39:47.719 Advait Nandakumar Menon: I can probably share it with you, but…

395 00:39:48.050 ⇒ 00:39:53.770 Advait Nandakumar Menon: I don’t think it’s worth sharing with everyone else, because it has the whole lobby chat I was…

396 00:39:54.130 ⇒ 00:39:54.779 Jasmin Multani: No worries.

397 00:39:54.780 ⇒ 00:40:04.380 Advait Nandakumar Menon: chatting with it to come up with the thing as well, but for your reference, I can share it with you, but yeah, we can have a repository of sorts to store reusable stuff like that.

398 00:40:04.550 ⇒ 00:40:07.410 Jasmin Multani: Yeah, like a kitchen, kitchen sink, like, just dump it.

399 00:40:07.410 ⇒ 00:40:07.870 Advait Nandakumar Menon: Yeah.

400 00:40:07.870 ⇒ 00:40:08.349 Jasmin Multani: It’ll look…

401 00:40:09.170 ⇒ 00:40:13.989 Jasmin Multani: It’ll be, like, a running dock, and that running dock will have, like, a bunch of different links.

402 00:40:13.990 ⇒ 00:40:15.030 Advait Nandakumar Menon: But… Yeah.

403 00:40:15.210 ⇒ 00:40:21.880 Jasmin Multani: it’s okay if it’s messy. It’s okay if it’s messy, because it’s the skills that need to be super clean.

404 00:40:22.390 ⇒ 00:40:22.900 Advait Nandakumar Menon: Yep.

405 00:40:23.320 ⇒ 00:40:24.250 Jasmin Multani: Okay, cool.

406 00:40:24.250 ⇒ 00:40:24.790 Advait Nandakumar Menon: Yep.

407 00:40:26.010 ⇒ 00:40:26.680 Jasmin Multani: Awesome.

408 00:40:26.990 ⇒ 00:40:36.789 Jasmin Multani: On my end, I’ll, clear out those tickets, like, into more bite-sized pieces, so… Sure. …a half estimate for each ticket, and then,

409 00:40:37.560 ⇒ 00:40:40.850 Jasmin Multani: I have to validate the data, and I have to do that today.

410 00:40:41.980 ⇒ 00:40:58.849 Advait Nandakumar Menon: Yeah, that’s fine. The other thing I wanted to ask you is, like, about the point-of-sale change within lobby, I think we just went over that ticket. Do you want me to switch back to retail and do it, or just focus on wholesale for now? I haven’t been able to get to that yet.

411 00:40:59.380 ⇒ 00:41:00.949 Jasmin Multani: Which one was that? Sorry?

412 00:41:01.670 ⇒ 00:41:07.619 Advait Nandakumar Menon: Basically, not the one from Havesh, but just within the topics and lobby in Omni.

413 00:41:07.860 ⇒ 00:41:17.130 Advait Nandakumar Menon: Where Omni might answer, it has POS sales, but I have to make sure it answers it, like, point of sales and not POS sales.

414 00:41:17.390 ⇒ 00:41:25.449 Advait Nandakumar Menon: And then it was getting confused between what’s wholesale and what’s not wholesale. We had that conversation, I think, a week and a half back.

415 00:41:27.210 ⇒ 00:41:30.200 Jasmin Multani: Let’s, clear out the dashboards first, and then next.

416 00:41:30.200 ⇒ 00:41:30.530 Advait Nandakumar Menon: Okay.

417 00:41:30.530 ⇒ 00:41:34.250 Jasmin Multani: we QA the blobby stuff, because I also want… Yeah, I was thinking.

418 00:41:34.250 ⇒ 00:41:35.270 Advait Nandakumar Menon: the same year.

419 00:41:35.500 ⇒ 00:41:46.759 Jasmin Multani: I want this to be a week where we just, like, throw dashboards out at her, so when she comes back from Rest and Assess on Monday, she has things to look through while we’re,

420 00:41:47.200 ⇒ 00:41:49.540 Jasmin Multani: queuing lobby.

421 00:41:49.540 ⇒ 00:41:49.900 Advait Nandakumar Menon: Okay.

422 00:41:50.170 ⇒ 00:41:58.360 Jasmin Multani: So… and that’s also… we’ll also be able to have, like, a running list of, like, okay, what else needs to be changed for Blobby? .

423 00:41:58.360 ⇒ 00:41:58.980 Advait Nandakumar Menon: Okay.

424 00:41:58.980 ⇒ 00:42:05.029 Jasmin Multani: So, would rather use the dashboards as, like, another… Way to catch all.

425 00:42:05.530 ⇒ 00:42:11.349 Jasmin Multani: Catch-all… as, like, a catch-all. And,

426 00:42:12.950 ⇒ 00:42:19.739 Jasmin Multani: Yeah, I think, like we said, like, let’s build out the sheets, let’s build out the dashboards, let’s build out Blobby.

427 00:42:20.820 ⇒ 00:42:21.370 Advait Nandakumar Menon: Nope.

428 00:42:21.750 ⇒ 00:42:22.719 Advait Nandakumar Menon: Sounds good.

429 00:42:23.500 ⇒ 00:42:24.140 Jasmin Multani: Okay.

430 00:42:24.140 ⇒ 00:42:28.050 Advait Nandakumar Menon: Yeah, I don’t think I have anything else,

431 00:42:28.370 ⇒ 00:42:35.560 Advait Nandakumar Menon: Yeah, and we have the other thing, the meeting with Avesh tomorrow, wherein he’s doing the change, and we all have to do it, Simon.

432 00:42:36.460 ⇒ 00:42:39.710 Advait Nandakumar Menon: Yeah, simultaneously, so that’s there as well.

433 00:42:40.100 ⇒ 00:42:41.440 Jasmin Multani: Cool!

434 00:42:42.350 ⇒ 00:42:44.550 Jasmin Multani: It’s been less than a month!

435 00:42:44.710 ⇒ 00:42:54.310 Jasmin Multani: Like, I keep checking, I literally keep checking the calendar, and I’m like, I started in April, and I… it’s still April, and I still feel like there’s so much to do.

436 00:42:54.880 ⇒ 00:42:56.380 Jasmin Multani: Okay, maybe it’s a good.

437 00:42:56.380 ⇒ 00:42:57.550 Advait Nandakumar Menon: Yep.

438 00:42:57.550 ⇒ 00:43:07.699 Jasmin Multani: But just FYI, like, we’re probably gonna… Robert is closing in on a client… a non-profit client.

439 00:43:07.950 ⇒ 00:43:12.050 Jasmin Multani: It’s a pretty big client, it’s like, I think…

440 00:43:12.390 ⇒ 00:43:16.509 Jasmin Multani: He said it’s… we’re gonna bring in $50,000.

441 00:43:16.510 ⇒ 00:43:16.960 Advait Nandakumar Menon: Okay.

442 00:43:16.960 ⇒ 00:43:20.189 Jasmin Multani: I don’t know if that’s per month or per year.

443 00:43:21.820 ⇒ 00:43:25.200 Jasmin Multani: It might be per month, because I think

444 00:43:25.360 ⇒ 00:43:28.410 Jasmin Multani: Utham said we have a 10K minimum per month.

445 00:43:29.190 ⇒ 00:43:29.900 Advait Nandakumar Menon: Okay.

446 00:43:30.470 ⇒ 00:43:34.610 Jasmin Multani: And I think this food… this non-profit has, like, a lot of budget.

447 00:43:36.140 ⇒ 00:43:40.969 Jasmin Multani: he said that the new CEO used to work… used to…

448 00:43:41.280 ⇒ 00:43:47.489 Jasmin Multani: one person from C-suite who’s at the food bank today, he used to be high up

449 00:43:47.970 ⇒ 00:43:52.290 Jasmin Multani: at Pete’s Coffee, so he has a pretty high standard of what he expects.

450 00:43:52.690 ⇒ 00:43:53.890 Advait Nandakumar Menon: Okay, okay.

451 00:43:53.890 ⇒ 00:44:00.449 Jasmin Multani: So, Mooch is great for us, because it looks like they don’t have much, but I ideally want to, like.

452 00:44:00.700 ⇒ 00:44:14.549 Jasmin Multani: do some meta-thinking to be, like, what we could do better, ahead of that client, because I would love to have that client under our book. And, he mentioned he’s also working on a clinical research partner.

453 00:44:14.940 ⇒ 00:44:21.729 Jasmin Multani: like… I would also love to have under our book too, but again, like, such different clients,

454 00:44:21.990 ⇒ 00:44:24.769 Jasmin Multani: which means more context switching, which means I just.

455 00:44:24.770 ⇒ 00:44:25.130 Advait Nandakumar Menon: Yes.

456 00:44:25.130 ⇒ 00:44:25.769 Jasmin Multani: Had a…

457 00:44:26.480 ⇒ 00:44:34.270 Jasmin Multani: let’s get ahead of, like, the Omni stuff, the data validation stuff, with this, with Element, and then we can…

458 00:44:34.880 ⇒ 00:44:37.909 Advait Nandakumar Menon: Yep, yep. I think, like you said, once…

459 00:44:38.560 ⇒ 00:44:42.899 Advait Nandakumar Menon: we get used to the way of working, the fundamentals and Omni and everything, I think.

460 00:44:43.430 ⇒ 00:44:46.319 Advait Nandakumar Menon: Context switching will be the only…

461 00:44:46.470 ⇒ 00:44:54.659 Advait Nandakumar Menon: other difficult thing we have to do, but I think we can tackle that when all this fundamental, foundational things are in place, so…

462 00:44:54.910 ⇒ 00:45:01.379 Advait Nandakumar Menon: Yep, that’s… that’s exciting that we have… Like, two completely different industries.

463 00:45:02.240 ⇒ 00:45:05.209 Advait Nandakumar Menon: Clients are possibly coming also.

464 00:45:05.210 ⇒ 00:45:07.579 Jasmin Multani: Yeah, yeah, I think it’s a really good…

465 00:45:08.110 ⇒ 00:45:11.089 Jasmin Multani: Very good thing to have on your resume.

466 00:45:11.390 ⇒ 00:45:12.120 Advait Nandakumar Menon: Yeah.

467 00:45:12.760 ⇒ 00:45:17.759 Advait Nandakumar Menon: I’ve worked with a non-profit before who were tight on budget, so…

468 00:45:17.900 ⇒ 00:45:24.719 Advait Nandakumar Menon: This’ll be a different setting wherein they don’t have restrictions on budgets, so yeah.

469 00:45:24.950 ⇒ 00:45:28.440 Jasmin Multani: They… I think they want me to come to them in San Jose every month.

470 00:45:28.550 ⇒ 00:45:34.980 Jasmin Multani: So my okay, but that also means, like.

471 00:45:36.120 ⇒ 00:45:40.629 Jasmin Multani: It sounds like they’re eager, eager to provide what we need.

472 00:45:40.790 ⇒ 00:45:46.179 Jasmin Multani: And it’s… it also means that they’re eager to, like, listen to what we have to say.

473 00:45:46.650 ⇒ 00:45:49.440 Advait Nandakumar Menon: Okay. What are they doing, like, the non-profit?

474 00:45:49.440 ⇒ 00:45:51.840 Jasmin Multani: So, it’s called Second Harvest.

475 00:45:52.860 ⇒ 00:45:59.310 Jasmin Multani: Harvest Food Bank, they’re HQ’d in… San Jose.

476 00:45:59.650 ⇒ 00:46:04.780 Jasmin Multani: I think, Robert actually volunteered with the… he lived in San Jose, I think?

477 00:46:05.380 ⇒ 00:46:09.640 Jasmin Multani: But it’s great, because, like, even when I was at DoorDash.

478 00:46:09.870 ⇒ 00:46:17.790 Jasmin Multani: DoorDash tried… because DoorDash is, like, a logistics company, and, some of the food products

479 00:46:18.330 ⇒ 00:46:25.989 Jasmin Multani: have a high shelf life. Some of the food products are very sensitive, like, you can’t have meat in transit for too long, or, like.

480 00:46:26.310 ⇒ 00:46:27.869 Jasmin Multani: Roots or whatever, right?

481 00:46:28.050 ⇒ 00:46:34.359 Jasmin Multani: So I think there was someone who was, like, at the company, they tried to pair up with food banks, and, like.

482 00:46:34.360 ⇒ 00:46:34.820 Advait Nandakumar Menon: Okay.

483 00:46:34.820 ⇒ 00:46:40.199 Jasmin Multani: offer their logistics software to food banks, but I don’t think it went through. I think it was, like.

484 00:46:40.790 ⇒ 00:46:46.300 Jasmin Multani: Special projects, to make… the company look more…

485 00:46:46.300 ⇒ 00:46:48.680 Advait Nandakumar Menon: Yeah, yeah, I understand what you’re saying, yeah.

486 00:46:48.930 ⇒ 00:46:52.550 Jasmin Multani: But it just never went through, so I’m like, cool.

487 00:46:52.760 ⇒ 00:46:56.390 Jasmin Multani: We… the… the routing stuff that we’re working…

488 00:46:56.610 ⇒ 00:47:02.219 Jasmin Multani: with Element, some, like, the backend logistics stuff that we’ve done.

489 00:47:02.430 ⇒ 00:47:05.490 Jasmin Multani: Could be, like, a clear, easy win.

490 00:47:06.510 ⇒ 00:47:15.320 Jasmin Multani: Like, we could just go in and build from the ground up. But yeah, I’m excited. I wanted to, like, use data and…

491 00:47:16.330 ⇒ 00:47:18.279 Jasmin Multani: different spaces, so I’m like…

492 00:47:18.550 ⇒ 00:47:23.290 Jasmin Multani: I hope… hold me accountable, too, and be like, hey, we’re moving too fast, we’re moving too much.

493 00:47:23.290 ⇒ 00:47:24.260 Advait Nandakumar Menon: Chuck, chuck.

494 00:47:24.260 ⇒ 00:47:28.730 Jasmin Multani: But… I’m eager. I’m eager to do… Damn.

495 00:47:29.070 ⇒ 00:47:29.910 Advait Nandakumar Menon: Likewise.

496 00:47:30.180 ⇒ 00:47:30.720 Jasmin Multani: Yeah.

497 00:47:30.720 ⇒ 00:47:31.630 Advait Nandakumar Menon: Yeah, yeah.

498 00:47:31.630 ⇒ 00:47:32.440 Jasmin Multani: Cool, cool.

499 00:47:32.600 ⇒ 00:47:39.769 Jasmin Multani: In the meantime, I’m gonna… I’ll be available, but I’m gonna be invalidating data, but let me know if you need something, and then…

500 00:47:40.360 ⇒ 00:47:40.960 Advait Nandakumar Menon: Yeah.

501 00:47:41.220 ⇒ 00:47:55.509 Advait Nandakumar Menon: One last thing. On Friday, I’ll be traveling, so I’ll be completely async and won’t be available for meetings, so I’m just letting… I’ll be still working, but I’ll be async completely.

502 00:47:55.910 ⇒ 00:47:58.040 Jasmin Multani: That’s totally fine. I…

503 00:47:58.660 ⇒ 00:48:12.469 Jasmin Multani: prefer no meetings on Fridays. That Shirvani meeting, I was like, mmm, she asked, she asked to push back, so, like, I’ll comply, but, like, I… the only Friday meetings you’ll see from me are gonna be, like.

504 00:48:12.630 ⇒ 00:48:21.930 Jasmin Multani: the monthly progress checks, right? Okay, yeah. I have one with Amber, I need to set one up with you, maybe I’ll set one up for next Friday.

505 00:48:22.420 ⇒ 00:48:23.110 Advait Nandakumar Menon: Shuh.

506 00:48:23.110 ⇒ 00:48:25.440 Jasmin Multani: And, like, you don’t have to be super…

507 00:48:26.000 ⇒ 00:48:37.650 Jasmin Multani: I’ll give you templates ahead of time, but, like, I’m… you don’t have to, like, fill everything out. It’s just gonna be a matter of, like, where do you want your next role to be? What do you want it to be? How do we, like, build…

508 00:48:38.730 ⇒ 00:48:40.950 Jasmin Multani: How do we build a case for that?

509 00:48:41.590 ⇒ 00:48:44.840 Jasmin Multani: And, like, I can just show you what I did in the past.

510 00:48:45.320 ⇒ 00:48:47.759 Jasmin Multani: when I was doing career changes, and then…

511 00:48:48.080 ⇒ 00:48:48.550 Advait Nandakumar Menon: Yep.

512 00:48:48.550 ⇒ 00:48:50.019 Jasmin Multani: Yeah, but…

513 00:48:50.250 ⇒ 00:48:56.690 Advait Nandakumar Menon: Yeah, I think you mentioned about a spreadsheet or an Excel template, something, yeah, you had mentioned, I remember you were saying that, so…

514 00:48:56.690 ⇒ 00:49:01.980 Jasmin Multani: Yeah. I can give a base skeleton what it should look like, but…

515 00:49:03.720 ⇒ 00:49:10.329 Jasmin Multani: you’re gonna have different skill sets that I’ll be measuring. Amber’s gonna have different skill sets that I’m measuring for her.

516 00:49:10.660 ⇒ 00:49:19.049 Jasmin Multani: Because you guys have different career goals. So I’ll give you guys a generic template that we can track.

517 00:49:19.470 ⇒ 00:49:22.530 Jasmin Multani: Month over month, but…

518 00:49:22.780 ⇒ 00:49:40.720 Jasmin Multani: when we have our first kickoff, a majority of the time is going to be like, okay, what do you want? What are skills that you feel confident in doing? How do we package that? Again, I’m not trying to get you to leave. I’m not trying to get you to leave Brainforge, but I am trying to get you to feel like

519 00:49:42.450 ⇒ 00:49:45.170 Jasmin Multani: You have control over your career, especially.

520 00:49:45.780 ⇒ 00:49:48.660 Jasmin Multani: Because we don’t know how the industry’s gonna be, like, in a year from now.

521 00:49:48.660 ⇒ 00:49:49.210 Advait Nandakumar Menon: Yeah.

522 00:49:49.210 ⇒ 00:49:55.580 Jasmin Multani: So, buddy, like… yeah, I’m just, like, aggressive, I’m like.

523 00:49:56.920 ⇒ 00:50:01.730 Jasmin Multani: I’m just very aggressive. Even with, like, some of the girls, one of the girls in my yoga classes, I’m like.

524 00:50:03.120 ⇒ 00:50:08.239 Jasmin Multani: You need to be real… she, she, she did a campaign with Doja Cat.

525 00:50:08.890 ⇒ 00:50:09.779 Advait Nandakumar Menon: Oh, oh my god.

526 00:50:09.780 ⇒ 00:50:10.510 Jasmin Multani: Yeah.

527 00:50:10.730 ⇒ 00:50:15.200 Jasmin Multani: And I’m like… you’re not… what do you mean you’re making $70K a year?

528 00:50:15.200 ⇒ 00:50:16.100 Advait Nandakumar Menon: What the fuck?

529 00:50:16.100 ⇒ 00:50:25.549 Jasmin Multani: Like, she’s like, yeah, I met Doja Cat, and I met her team, they love me, and I’m like, yeah, you need to be re-leveled, and I’m like, let’s get you re-leveled, so I’m very, like…

530 00:50:27.430 ⇒ 00:50:35.990 Jasmin Multani: Very serious about… People showing their talents, and showing their growth.

531 00:50:36.720 ⇒ 00:50:37.230 Advait Nandakumar Menon: Yeah.

532 00:50:37.230 ⇒ 00:50:44.309 Jasmin Multani: But at the same time, it’s gonna come back to you. So, like, I’ll be there to brainstorm, and I’ll be there to, like, help you, like.

533 00:50:44.980 ⇒ 00:50:54.189 Jasmin Multani: build the confidence of, like, meeting people online, because that’s how I got my tech job, right? I was in research, I emailed a bunch of people on LinkedIn.

534 00:50:54.720 ⇒ 00:50:56.530 Jasmin Multani: Oh, I got my DoorDash job, like…

535 00:50:56.650 ⇒ 00:50:59.950 Jasmin Multani: No one was gonna hire me as a researcher. I came in.

536 00:50:59.950 ⇒ 00:51:00.340 Advait Nandakumar Menon: No, like.

537 00:51:00.340 ⇒ 00:51:05.129 Jasmin Multani: a $20 per hour specialist, and I just kept building my way up.

538 00:51:05.310 ⇒ 00:51:09.760 Jasmin Multani: But… and, like, I would have random…

539 00:51:10.640 ⇒ 00:51:16.189 Jasmin Multani: head of data scientists look over my GitHub and, like, be like, oh, this is what you should do, so it’s like…

540 00:51:16.740 ⇒ 00:51:23.760 Jasmin Multani: You shouldn’t use us as, like, the only persons, like, gonna help you, like, build networking traction.

541 00:51:23.760 ⇒ 00:51:24.300 Advait Nandakumar Menon: Yes.

542 00:51:24.300 ⇒ 00:51:30.970 Jasmin Multani: So that you can, like, have a proper fit and, like, autonomy. That’s, like, my goal, like.

543 00:51:30.970 ⇒ 00:51:31.510 Advait Nandakumar Menon: Yeah.

544 00:51:31.680 ⇒ 00:51:34.719 Jasmin Multani: Everyone should have autonomy and, like, design their own type of life.

545 00:51:35.010 ⇒ 00:51:44.670 Jasmin Multani: And the best analysts I see are opinionated and back up their opinion with evidence. And I’m gonna get there.

546 00:51:44.890 ⇒ 00:51:50.529 Jasmin Multani: like… You have to, like, pitch yourself, and, like, get comfortable with pitching yourself, and, like.

547 00:51:51.370 ⇒ 00:51:59.870 Jasmin Multani: get comfortable when you’re told, actually, no, we’re gonna go in this direction, it’s like… So that’s what I want for you and Amber.

548 00:52:00.330 ⇒ 00:52:00.800 Advait Nandakumar Menon: Yeah.

549 00:52:00.800 ⇒ 00:52:01.460 Jasmin Multani: None.

550 00:52:01.460 ⇒ 00:52:01.919 Advait Nandakumar Menon: Appreciate it, man.

551 00:52:02.970 ⇒ 00:52:07.000 Jasmin Multani: I mean, I hope… let’s see what I can do, let’s see what I can help with…

552 00:52:07.370 ⇒ 00:52:14.449 Jasmin Multani: But, like, I hope… I don’t want to over-promise, because I’ve had managers over-promise me, and I’m like.

553 00:52:15.170 ⇒ 00:52:19.569 Jasmin Multani: This is not talked about. So,

554 00:52:20.090 ⇒ 00:52:24.079 Jasmin Multani: I want to just find other ways to get you benefits.

555 00:52:24.810 ⇒ 00:52:25.580 Advait Nandakumar Menon: Hmm.

556 00:52:25.580 ⇒ 00:52:27.999 Jasmin Multani: If that’s monetary, if that’s, like.

557 00:52:29.280 ⇒ 00:52:32.830 Jasmin Multani: Creating projects that help you flush bills?

558 00:52:33.060 ⇒ 00:52:36.439 Jasmin Multani: that’s gonna be the easiest thing for me, and then monetary, I have to, like…

559 00:52:37.310 ⇒ 00:52:38.969 Jasmin Multani: Talk to my partner and be like…

560 00:52:39.520 ⇒ 00:52:44.169 Jasmin Multani: How much… how do we… how do we pitch ourselves to clients so that you get a bonus?

561 00:52:44.300 ⇒ 00:52:47.140 Jasmin Multani: Cause I think that’s their…

562 00:52:47.680 ⇒ 00:52:51.569 Jasmin Multani: that’s their scale. It’s like, if you… if you can attract more clients.

563 00:52:51.810 ⇒ 00:52:57.660 Jasmin Multani: And I think that’s great for your projects, too. It’s like, Avid wanted to work

564 00:52:57.760 ⇒ 00:53:07.380 Jasmin Multani: to develop this skill, he developed this skill through this client. Because we did, like, a white paper and, like, we published some sort of white paper on this, that has now

565 00:53:07.830 ⇒ 00:53:15.419 Jasmin Multani: more clients. So it’s like, how do we get your skill development also as a way to seek more clients to come to us?

566 00:53:15.730 ⇒ 00:53:16.930 Advait Nandakumar Menon: Yeah, no.

567 00:53:16.930 ⇒ 00:53:19.050 Jasmin Multani: So, I’m thinking about it that way.

568 00:53:19.280 ⇒ 00:53:25.679 Jasmin Multani: But first steps first, just, like, think of, like, what type of… I know you said you wanted to go more towards an engineering path.

569 00:53:26.100 ⇒ 00:53:26.480 Advait Nandakumar Menon: do not.

570 00:53:26.480 ⇒ 00:53:27.600 Jasmin Multani: from there.

571 00:53:28.470 ⇒ 00:53:31.409 Jasmin Multani: What ti- what does that mean? .

572 00:53:31.990 ⇒ 00:53:36.450 Jasmin Multani: Can we introduce you to… And so on and so forth.

573 00:53:37.000 ⇒ 00:53:39.119 Advait Nandakumar Menon: Sure, sure, yeah.

574 00:53:39.450 ⇒ 00:53:48.609 Advait Nandakumar Menon: from a template, I’ll try to come up with something and think about it, but no, I really appreciate you looking out for me, for Amber, and…

575 00:53:49.470 ⇒ 00:54:07.429 Advait Nandakumar Menon: I haven’t seen this… what we are doing here, I’ve said this before, I don’t want to say it too much, but what Brainforge is doing, I think with respect to the AI and everything that’s going on, I think it’s a good space to be in, and… yeah, it’s really exciting, and…

576 00:54:07.840 ⇒ 00:54:14.780 Advait Nandakumar Menon: I’m happy to have you, like, someone who is looking out and trying to be more supportive, and…

577 00:54:15.110 ⇒ 00:54:30.799 Advait Nandakumar Menon: I don’t think I’ve… I’ve always had that before in my career, like, I’ve had managers and people who have been their seniors and a thing, but really what you want out of this role, if it’s brain forge or not, like, that’s really good to hear from you, so… yeah.

578 00:54:30.810 ⇒ 00:54:32.830 Jasmin Multani: Well, cool, yeah, I’m very…

579 00:54:34.430 ⇒ 00:54:41.179 Jasmin Multani: I’m just like… even when I left TikTok, I told them during my performance review.

580 00:54:41.830 ⇒ 00:54:55.709 Jasmin Multani: they were like, oh, this is your performance review, and this is what you got for your bonus. And I was like, yeah, yeah, yeah, I know, I checked my bank account. And then, then my director was like, do you have any feedback? Like, do you have any reactions? And I was like.

581 00:54:55.880 ⇒ 00:55:10.239 Jasmin Multani: no, because mentally I knew I was leaving, and then my director was like, okay, let’s switch this off to your manager so that, like, you can discuss your future projects, and I’m like, let’s stop there. I’m actually leaving.

582 00:55:10.540 ⇒ 00:55:14.610 Jasmin Multani: And I told them, like, and they were just smiling, they were like, Cool.

583 00:55:14.610 ⇒ 00:55:16.230 Advait Nandakumar Menon: Neron tried to hold you back?

584 00:55:17.030 ⇒ 00:55:19.879 Jasmin Multani: they knew how bad it was. They knew…

585 00:55:19.880 ⇒ 00:55:20.920 Advait Nandakumar Menon: Okay.

586 00:55:20.920 ⇒ 00:55:26.309 Jasmin Multani: Because, like, our team had gone… I had gone through 10 reorgs in a year and a half.

587 00:55:27.160 ⇒ 00:55:27.790 Advait Nandakumar Menon: Oh, no.

588 00:55:27.790 ⇒ 00:55:39.279 Jasmin Multani: And after each reorg, I got… we would get a new manager, and each manager just, like, they’re like, we don’t want to be held liable for their career, for these new analysts’ careers.

589 00:55:39.490 ⇒ 00:55:46.129 Jasmin Multani: Because, like, we’d be merged onto bigger orgs that are already 30-plus people, and…

590 00:55:47.510 ⇒ 00:55:53.879 Jasmin Multani: Our new managers, are they gonna favor us, or are they gonna favor their analysts that they’ve had a relationship with for the past

591 00:55:54.700 ⇒ 00:55:58.550 Jasmin Multani: So, we kept getting passed around, and our last…

592 00:55:59.220 ⇒ 00:56:11.499 Jasmin Multani: our last, manager, really smart, really good, really empathetic. He was on the… he’s already done work with the global side of TikTok, and he wanted something new.

593 00:56:11.880 ⇒ 00:56:23.990 Jasmin Multani: And I think he was… he was really smart. That’s, like, my only regret. It’s like, by the time I got… we got a good manager, I was already one foot out the door.

594 00:56:24.360 ⇒ 00:56:27.110 Jasmin Multani: Okay. But he was genuinely, like.

595 00:56:27.250 ⇒ 00:56:31.320 Jasmin Multani: We could talk to him in person, and he would understand what we’re…

596 00:56:32.180 ⇒ 00:56:34.950 Jasmin Multani: Exactly what we’re trying to plan out.

597 00:56:35.150 ⇒ 00:56:39.490 Jasmin Multani: Like, we didn’t have to prompt, and he’s like, oh, okay, this is what you’re trying to do, okay, and I’m like…

598 00:56:40.110 ⇒ 00:56:48.010 Jasmin Multani: And so it was always easy to get buy-in, and we always had, like, freedom to, like, start our own projects and push

599 00:56:48.670 ⇒ 00:56:54.599 Jasmin Multani: But… it’s just a shame. But whatever. I added them on LinkedIn.

600 00:56:54.920 ⇒ 00:57:05.090 Jasmin Multani: Like… let’s… let’s chat later. But yeah, they knew that things were bad for us, And… they gave…

601 00:57:05.310 ⇒ 00:57:08.239 Jasmin Multani: One of our star players…

602 00:57:09.430 ⇒ 00:57:15.880 Jasmin Multani: a pip, like, an incomplete, and we’re like, what the fuck are you guys doing? What are you doing? Like, this dude…

603 00:57:16.040 ⇒ 00:57:24.850 Jasmin Multani: He started off as a data scientist at TikTok. He was developing the data engineering aspect, so he was, like, fully stacked, without the title.

604 00:57:25.050 ⇒ 00:57:30.790 Jasmin Multani: And, very, very smart. He had already, like, developed an LLM.

605 00:57:30.940 ⇒ 00:57:33.959 Jasmin Multani: To track for election fraud.

606 00:57:34.430 ⇒ 00:57:35.140 Advait Nandakumar Menon: It was so…

607 00:57:35.140 ⇒ 00:57:45.830 Jasmin Multani: good. It was, like, a few years ago he had developed it. It was so good that he created locally on his laptop that the engineers from Singapore

608 00:57:46.150 ⇒ 00:57:55.870 Jasmin Multani: who are, like, really the main engineers at TikTok, they tapped him on the shoulder, they’re like, we want to merge your LLM into our model. So it’s like…

609 00:57:56.800 ⇒ 00:57:59.579 Jasmin Multani: That is the highest compliment, like…

610 00:57:59.840 ⇒ 00:58:11.789 Jasmin Multani: what do you mean the last manager gave him an incomplete? Like, that makes no sense. And, like, the last manager we had, we had him from September to December.

611 00:58:12.010 ⇒ 00:58:13.520 Jasmin Multani: And…

612 00:58:14.210 ⇒ 00:58:20.070 Jasmin Multani: He just… he didn’t want anything to do with a new team, so he passed us off, but, like…

613 00:58:20.820 ⇒ 00:58:29.719 Jasmin Multani: And we had… so our team went from 16 people to a team of 3, and our last manager got ran over by a car.

614 00:58:29.920 ⇒ 00:58:37.770 Jasmin Multani: like, our pod lead. He was, like, our analyst. He was also an analyst, but because he had been with the team, we had different managers, but he

615 00:58:38.500 ⇒ 00:58:43.799 Jasmin Multani: he had been at TikTok for 5 years, so we’re like, okay, at least he knows how to do things politically.

616 00:58:43.800 ⇒ 00:58:44.460 Advait Nandakumar Menon: I agree.

617 00:58:44.700 ⇒ 00:58:48.320 Jasmin Multani: he was gonna be our interim manager. He got run over by a car.

618 00:58:48.570 ⇒ 00:58:49.440 Advait Nandakumar Menon: Oh, no.

619 00:58:49.700 ⇒ 00:58:51.320 Jasmin Multani: And he’s not coming back.

620 00:58:51.670 ⇒ 00:58:58.189 Jasmin Multani: for a while. So we’re like, okay, team of 16 went down to a team of 3,

621 00:58:59.290 ⇒ 00:59:11.150 Jasmin Multani: And we have to manage the same amount of detections, which was, like, 40-plus detections, and on top of that, they’re asking us to do more, launch more detections. On top of that.

622 00:59:11.280 ⇒ 00:59:14.070 Jasmin Multani: We’re managing the data engineering pipelines.

623 00:59:14.180 ⇒ 00:59:18.289 Jasmin Multani: And the detections are stuff like.

624 00:59:19.530 ⇒ 00:59:23.710 Jasmin Multani: you know, abortion pills. Are people selling abortion pills?

625 00:59:23.710 ⇒ 00:59:24.280 Advait Nandakumar Menon: Okay.

626 00:59:24.470 ⇒ 00:59:36.620 Jasmin Multani: on the platform, like, people are, and, like, that’s illegal, but it’s also a matter of, like, this is different from state after state, so if you’re selling in California, where abortion is illegal.

627 00:59:37.740 ⇒ 00:59:44.350 Jasmin Multani: But there are other states who… but, like, if you sell it to a Texan citizen, abortion is legal.

628 00:59:45.100 ⇒ 00:59:49.440 Jasmin Multani: It’s like, how are the laws unfolding, and how…

629 00:59:49.690 ⇒ 00:59:53.030 Jasmin Multani: will TikTok be held as an accomplice?

630 00:59:53.510 ⇒ 00:59:55.079 Jasmin Multani: And thus, sue.

631 00:59:55.080 ⇒ 00:59:57.139 Advait Nandakumar Menon: This is for the TikTok shop.

632 00:59:57.570 ⇒ 01:00:07.690 Jasmin Multani: No, it’s not TikTok Shop. Literally, people are just, like, on their regular accounts. People are selling drugs on TikTok Shop, but, like, this is separate. They’re literally posting videos, like…

633 01:00:07.690 ⇒ 01:00:08.440 Advait Nandakumar Menon: Oh, okay.

634 01:00:08.440 ⇒ 01:00:17.480 Jasmin Multani: legal in certain countries, and they’re like, we’ll ship a Plan B out for you. And there are some companies, like Hey Jane.

635 01:00:18.440 ⇒ 01:00:25.359 Jasmin Multani: provide these services too, right? So, how do we program a detection at scale that

636 01:00:26.090 ⇒ 01:00:39.589 Jasmin Multani: does all this. So, all in all to say, it was just really messy. I loved the work there. I loved the work there. Like, the tech stack is amazing. It was crazy. It’s, like, crazy. The types of multi-model things that they were coming up with, I’m like…

637 01:00:39.920 ⇒ 01:00:45.129 Jasmin Multani: This is insane. And the accuracy.

638 01:00:45.820 ⇒ 01:00:49.419 Jasmin Multani: I wanted… there was more I wanted to learn, but I was just like, this team is…

639 01:00:49.640 ⇒ 01:00:51.549 Jasmin Multani: Going downhill, and like…

640 01:00:51.550 ⇒ 01:00:52.180 Advait Nandakumar Menon: Hmm.

641 01:00:52.180 ⇒ 01:01:00.020 Jasmin Multani: they need to do something really big and drastic, because we can’t all be managing these things. So I think that’s why they’re like, yeah, leave, it’s fine.

642 01:01:00.200 ⇒ 01:01:02.590 Jasmin Multani: We get it. So, thank you.

643 01:01:02.780 ⇒ 01:01:08.829 Advait Nandakumar Menon: But couldn’t you just transfer to another established team? Wasn’t that an option for you?

644 01:01:09.340 ⇒ 01:01:14.940 Jasmin Multani: I just didn’t want to. I was like, this is a sinking ship, and the thing is, Brainforge was giving me…

645 01:01:15.520 ⇒ 01:01:17.190 Jasmin Multani: a pay change?

646 01:01:17.370 ⇒ 01:01:21.599 Jasmin Multani: And, I’d be managing my own team, so I was like.

647 01:01:21.600 ⇒ 01:01:22.990 Advait Nandakumar Menon: Okay. Okay.

648 01:01:22.990 ⇒ 01:01:25.109 Jasmin Multani: This is more… and like…

649 01:01:25.280 ⇒ 01:01:30.120 Jasmin Multani: I had already gone… like, the interview process was so straightforward, I was like, I don’t want to do this.

650 01:01:30.480 ⇒ 01:01:34.289 Jasmin Multani: Like, the interviews… at TikTok, we’re really intense.

651 01:01:35.320 ⇒ 01:01:36.810 Advait Nandakumar Menon: I could imagine, yeah.

652 01:01:36.810 ⇒ 01:01:39.490 Jasmin Multani: But you could… you can easily study for it.

653 01:01:39.980 ⇒ 01:01:40.720 Jasmin Multani: I can keep it.

654 01:01:42.430 ⇒ 01:01:48.169 Jasmin Multani: You can easily study for it. I have, like, I still have my studying packet.

655 01:01:48.950 ⇒ 01:01:55.729 Jasmin Multani: And, like, my… Yeah, and the thing is, like, my third interviewer, she was like.

656 01:01:57.160 ⇒ 01:02:13.369 Jasmin Multani: okay, she dropped the mask, and she was… and in the last 10 minutes, she was like, hey, listen, you’re rambling a lot in your answers, your next interviewer is Regina, she’s high up, she wants short, clean answers, you should try studying the TikTok

657 01:02:13.630 ⇒ 01:02:18.299 Jasmin Multani: products in this way, and look for things that are disjointed. And I’m like.

658 01:02:18.680 ⇒ 01:02:19.450 Jasmin Multani: I think that’s…

659 01:02:20.290 ⇒ 01:02:30.160 Jasmin Multani: she definitely helped make it. She was like, let me help you out here. And I was able to, like, pitch product ideas in the last interview, so…

660 01:02:31.520 ⇒ 01:02:37.110 Jasmin Multani: I was just like, this is… this is inconsistent, you guys need to track this. But the…

661 01:02:39.270 ⇒ 01:02:41.689 Jasmin Multani: The interview process was like a marathon.

662 01:02:43.110 ⇒ 01:02:44.490 Jasmin Multani: it’s doable.

663 01:02:45.580 ⇒ 01:02:53.040 Jasmin Multani: It was harder than Google. My Google interview went bad because I tanked one question. A very easy case study.

664 01:02:53.200 ⇒ 01:03:00.580 Jasmin Multani: But… it is doable, but the thing is, like, I just, like, was like, I can’t do another string of…

665 01:03:01.310 ⇒ 01:03:03.400 Jasmin Multani: Interviews like this.

666 01:03:03.400 ⇒ 01:03:03.880 Advait Nandakumar Menon: Yeah.

667 01:03:03.880 ⇒ 01:03:07.220 Jasmin Multani: Because, like, managers are also very sleuthy, like…

668 01:03:07.360 ⇒ 01:03:13.530 Jasmin Multani: My engineering, partner, the engineers on my team, they got scoped to a different part of the org.

669 01:03:14.430 ⇒ 01:03:27.640 Jasmin Multani: And, their manager was like, yeah, you know, you should consider moving to San Jose, you know, it’d be good for you. They never explicitly told them, you have to do this, your job is on the line. They kind of kept it, like, casual. And then…

670 01:03:27.770 ⇒ 01:03:29.209 Jasmin Multani: Some of these people have, like.

671 01:03:29.990 ⇒ 01:03:46.410 Jasmin Multani: communities out here in LA, so they spent, like, a few weeks thinking about it. Then they went back to their manager, and they’re like, yeah, so when I sign on to your team, like, I’m happy to join, and move to San Jose. And they’re like, oh, we don’t have openings anymore. We gave it away.

672 01:03:46.410 ⇒ 01:03:46.890 Advait Nandakumar Menon: wicked.

673 01:03:46.890 ⇒ 01:03:53.780 Jasmin Multani: And we’re like, what the fuck are you talking about? Like, on paper, you are their manager. Why did you not secure…

674 01:03:54.460 ⇒ 01:04:03.289 Jasmin Multani: headspace, like, what does that mean? So, it’s a lot of, like, sitting in limbo and, like, being paranoid about what’s gonna happen next.

675 01:04:03.780 ⇒ 01:04:04.280 Advait Nandakumar Menon: Hmm.

676 01:04:04.280 ⇒ 01:04:05.230 Jasmin Multani: So I was like.

677 01:04:05.230 ⇒ 01:04:05.830 Advait Nandakumar Menon: Yeah.

678 01:04:05.830 ⇒ 01:04:06.210 Jasmin Multani: I need.

679 01:04:06.210 ⇒ 01:04:07.050 Advait Nandakumar Menon: Yeah, not a…

680 01:04:07.280 ⇒ 01:04:14.239 Jasmin Multani: I just want to build right now, and then… I can revisit it, but… Let me know!

681 01:04:14.650 ⇒ 01:04:17.030 Advait Nandakumar Menon: Sure.

682 01:04:17.030 ⇒ 01:04:18.530 Jasmin Multani: Some of my friends are.

683 01:04:18.530 ⇒ 01:04:18.860 Advait Nandakumar Menon: Yeah.

684 01:04:18.860 ⇒ 01:04:28.750 Jasmin Multani: Like, yeah, I can at least provide the analyst experience, but the engineering experience is different.

685 01:04:28.900 ⇒ 01:04:33.199 Jasmin Multani: And they, like, definitely down-level you midway.

686 01:04:34.060 ⇒ 01:04:38.379 Jasmin Multani: They download you midway through the interview process.

687 01:04:40.020 ⇒ 01:04:50.660 Jasmin Multani: So there’s that. It’s just like, they’re very cunning, and I’m like, wow, I learned so much about how to be cunning. Now I know I could avoid it, but I was like…

688 01:04:51.300 ⇒ 01:04:56.240 Jasmin Multani: I just need a hard reset on my career trajectory, and then.

689 01:04:56.240 ⇒ 01:04:56.569 Advait Nandakumar Menon: and I.

690 01:04:56.570 ⇒ 01:05:02.060 Jasmin Multani: and revisit corporate America again, but, like, not… to…

691 01:05:02.500 ⇒ 01:05:11.589 Jasmin Multani: intense about it, but we can, depending on where you want to go with your career, I can provide whatever packets that I have.

692 01:05:13.810 ⇒ 01:05:16.140 Jasmin Multani: And then go forward from there.

693 01:05:17.000 ⇒ 01:05:17.740 Jasmin Multani: I don’t really know how that.

694 01:05:17.740 ⇒ 01:05:18.070 Advait Nandakumar Menon: Yeah.

695 01:05:18.070 ⇒ 01:05:28.650 Jasmin Multani: I mean, I don’t know how the engineering process works, but I do feel like all of my analyst questions, my live coding that I did.

696 01:05:29.660 ⇒ 01:05:37.869 Jasmin Multani: the questions were there somewhere on the internet, and I just sat down and, like, studied, and just redid it, and, like, spoke through it, too.

697 01:05:40.350 ⇒ 01:05:47.160 Jasmin Multani: I’m assuming the engineering process… there has to be question… there’s… there has to be, like, a prep packet for the engineers online.

698 01:05:47.160 ⇒ 01:05:48.089 Advait Nandakumar Menon: Yeah, yeah, yeah.

699 01:05:48.780 ⇒ 01:05:56.799 Advait Nandakumar Menon: I have seen, like, a couple of other companies, like… but this whole process you just described, it feels really…

700 01:05:58.380 ⇒ 01:06:06.679 Advait Nandakumar Menon: I don’t know, difficult… it is difficult up to a point, but it also depends on your preparation, but yeah, it’s… job hunting is too hard.

701 01:06:07.050 ⇒ 01:06:09.980 Advait Nandakumar Menon: Yeah. In this market, it’s too competitive, so…

702 01:06:10.410 ⇒ 01:06:15.869 Jasmin Multani: Yeah, and even the internal transfers were really hard and political, because…

703 01:06:17.490 ⇒ 01:06:20.580 Jasmin Multani: They wouldn’t tell… if you’re in the pipeline.

704 01:06:20.750 ⇒ 01:06:24.560 Jasmin Multani: For another role, even within the company.

705 01:06:25.000 ⇒ 01:06:25.780 Advait Nandakumar Menon: Hmm.

706 01:06:25.780 ⇒ 01:06:31.499 Jasmin Multani: You don’t want to tell your current manager unless you get… unless you know you’re gonna take the offer.

707 01:06:32.030 ⇒ 01:06:33.680 Advait Nandakumar Menon: Okay, okay, it’s bad.

708 01:06:33.680 ⇒ 01:06:42.270 Jasmin Multani: So it’s, like, a lot of… snakiness, even Yeah, so…

709 01:06:43.100 ⇒ 01:06:47.260 Jasmin Multani: that was, like, the first company where I’m like, wow, people don’t tell each other anything about.

710 01:06:47.260 ⇒ 01:06:48.639 Advait Nandakumar Menon: Things, yeah.

711 01:06:48.640 ⇒ 01:06:49.110 Jasmin Multani: They…

712 01:06:49.480 ⇒ 01:07:03.210 Jasmin Multani: they’re very guarded. Even my… even the co-workers that I got close to, I was like… I could be like, she doesn’t want to talk about this, so I’m not gonna ask about it. Which I have never… I’ve never met so many guarded people at a company.

713 01:07:04.150 ⇒ 01:07:07.000 Advait Nandakumar Menon: That’s… yeah, it’s not a good look.

714 01:07:08.590 ⇒ 01:07:12.179 Jasmin Multani: It was fun, though. So many firsts, so much food.

715 01:07:12.180 ⇒ 01:07:12.680 Advait Nandakumar Menon: Huh.

716 01:07:12.680 ⇒ 01:07:19.210 Jasmin Multani: It is… fun, and, like, I was shocked at how laid back it was.

717 01:07:20.030 ⇒ 01:07:27.200 Jasmin Multani: Like, they would be, like, Here’s a… here’s a, like, a workshop where you can…

718 01:07:27.480 ⇒ 01:07:35.920 Jasmin Multani: get Legos and build Legos for your mental health, and I’m like, what the fuck? But, yeah, I’d say, like.

719 01:07:36.280 ⇒ 01:07:38.059 Jasmin Multani: It was a fun experience.

720 01:07:38.750 ⇒ 01:07:46.460 Jasmin Multani: It was fun to be exposed to, like, the upper limit of what… the tech stock can be.

721 01:07:47.770 ⇒ 01:07:53.680 Jasmin Multani: like, the multi-mo… like, I was staffed to do firearms, but another, like, that global team.

722 01:07:53.850 ⇒ 01:07:55.830 Jasmin Multani: Created this model that, like.

723 01:07:56.140 ⇒ 01:08:05.209 Jasmin Multani: would assess the words, the… of what’s guns being sold, but also would assess the visuals of the video, being like, oh, this is a…

724 01:08:05.410 ⇒ 01:08:14.989 Jasmin Multani: the person is scanning a row of guns with price tags. These are the price tags, and it’s… whoa.

725 01:08:15.190 ⇒ 01:08:22.620 Jasmin Multani: yeah, they have a lot of cool things, so I’d say, like, it’s a good experience if you want to be exposed to the upper limit, but,

726 01:08:24.490 ⇒ 01:08:26.850 Jasmin Multani: It was just frustrating, because, like…

727 01:08:28.130 ⇒ 01:08:31.240 Jasmin Multani: you just had to read between the lines.

728 01:08:31.240 ⇒ 01:08:32.140 Advait Nandakumar Menon: Yeah.

729 01:08:32.140 ⇒ 01:08:34.519 Jasmin Multani: I never saw a promotion.

730 01:08:34.670 ⇒ 01:08:38.050 Jasmin Multani: The people who were promised promotions, who were already doing the work.

731 01:08:38.279 ⇒ 01:08:44.969 Jasmin Multani: they were strung along for a year. Oh, just do this interview, you’ll get re-leveled.

732 01:08:45.620 ⇒ 01:08:49.639 Jasmin Multani: For, like, 6 to 7 months, they were strung along, and they got denied.

733 01:08:49.960 ⇒ 01:08:55.260 Jasmin Multani: And I saw this with 3 separate people on the same team, and they’re all high performers.

734 01:08:55.830 ⇒ 01:09:03.799 Jasmin Multani: So I think there’s that. That’s the other thing. That’s why I was like, I’m not gonna get a free leveling here, I’m gonna get a…

735 01:09:04.439 ⇒ 01:09:06.430 Jasmin Multani: outside the company. And I think they…

736 01:09:06.430 ⇒ 01:09:06.950 Advait Nandakumar Menon: it.

737 01:09:06.950 ⇒ 01:09:08.299 Jasmin Multani: They bank on that.

738 01:09:10.830 ⇒ 01:09:14.740 Advait Nandakumar Menon: Yeah, interesting, interesting story you have.

739 01:09:16.740 ⇒ 01:09:18.369 Jasmin Multani: It’s been fun!

740 01:09:19.470 ⇒ 01:09:25.660 Jasmin Multani: I’m just… I just wanna do a good job here, and, like, automate as much as I can, cause…

741 01:09:25.660 ⇒ 01:09:26.339 Advait Nandakumar Menon: I’m just kidding.

742 01:09:26.340 ⇒ 01:09:29.149 Jasmin Multani: Like, there’s so much to do, not enough time.

743 01:09:33.680 ⇒ 01:09:37.950 Jasmin Multani: Yep. If there’s anything else you want to discuss, Feel free.

744 01:09:37.950 ⇒ 01:09:38.410 Advait Nandakumar Menon: Sure.

745 01:09:38.410 ⇒ 01:09:39.120 Jasmin Multani: B.

746 01:09:39.630 ⇒ 01:09:40.520 Jasmin Multani: I’m chatting up.

747 01:09:41.919 ⇒ 01:09:42.819 Advait Nandakumar Menon: Yep.

748 01:09:43.729 ⇒ 01:09:47.379 Advait Nandakumar Menon: Okay, so we are meeting…

749 01:09:47.739 ⇒ 01:09:50.139 Advait Nandakumar Menon: Like, in 15 minutes, right, Shivani?

750 01:09:51.510 ⇒ 01:09:55.420 Jasmin Multani: One… yeah. Yeah, less than an hour.

751 01:09:56.240 ⇒ 01:10:13.379 Jasmin Multani: I’m gonna prep for that, and then I’m gonna have her be like, hey, I need you to sign up on these types of visuals, especially that tabular thing. I’ll check on Omni, if that’s native, and like, I’ll give her a screenshot to be like, this is what it would potentially look like. And I’m like.

752 01:10:14.290 ⇒ 01:10:17.099 Jasmin Multani: I would suggest that this is better suited

753 01:10:18.800 ⇒ 01:10:24.250 Jasmin Multani: I’d say it’s better suited as a table rather than a cluster, but we’ll see what she says.

754 01:10:24.850 ⇒ 01:10:25.820 Advait Nandakumar Menon: Yep, yep.

755 01:10:26.360 ⇒ 01:10:27.310 Advait Nandakumar Menon: Mr.

756 01:10:27.590 ⇒ 01:10:29.219 Jasmin Multani: Sounds good! Alright, I’ll let you go.

757 01:10:29.220 ⇒ 01:10:31.010 Advait Nandakumar Menon: Good afternoon. Talk soon. Bye-bye.