Meeting Title: OmniSheets Dashboard Planning Sync Date: 2026-04-17 Meeting participants: Jasmin Multani, Advait Nandakumar Menon


WEBVTT

1 00:00:15.730 00:00:16.550 Advait Nandakumar Menon: Hey!

2 00:00:17.100 00:00:18.630 Jasmin Multani: Hey, how’s it going?

3 00:00:19.640 00:00:20.810 Advait Nandakumar Menon: Going good.

4 00:00:21.190 00:00:22.210 Advait Nandakumar Menon: Oh, dear.

5 00:00:23.340 00:00:26.029 Jasmin Multani: I just want to eat, I’m so tired, ugh, just in time.

6 00:00:28.390 00:00:29.050 Advait Nandakumar Menon: send.

7 00:00:29.200 00:00:29.950 Jasmin Multani: Yeah.

8 00:00:30.590 00:00:37.119 Jasmin Multani: So, let’s share screen… I’m not muted.

9 00:00:38.070 00:00:48.379 Jasmin Multani: Let’s… let’s just… Let me pull up all of the… this year’s, I wrote…

10 00:00:50.690 00:00:55.210 Jasmin Multani: Mostly trying to figure out the best way to use…

11 00:00:57.530 00:00:58.620 Advait Nandakumar Menon: you can.

12 00:00:59.150 00:01:04.280 Advait Nandakumar Menon: I think the list view is, yeah, this… Over here.

13 00:01:04.440 00:01:08.769 Advait Nandakumar Menon: I think it’s… We’re to locate it like that, but… yeah.

14 00:01:10.980 00:01:13.719 Jasmin Multani: I’m just gonna look up later.

15 00:01:23.880 00:01:28.170 Jasmin Multani: Okay, assignees this… I bet.

16 00:01:28.170 00:01:31.730 Advait Nandakumar Menon: You can clear the filter of assignee and just add creator.

17 00:01:51.820 00:01:53.729 Jasmin Multani: There’s one that you started, right?

18 00:01:55.810 00:01:58.390 Advait Nandakumar Menon: Yeah, I put it in in progress.

19 00:01:59.910 00:02:01.050 Jasmin Multani: Hello?

20 00:02:01.820 00:02:04.139 Jasmin Multani: Oh, okay, okay. Yeah.

21 00:02:04.140 00:02:08.030 Advait Nandakumar Menon: If this view… like, is a list view better for you?

22 00:02:08.289 00:02:10.409 Advait Nandakumar Menon: Like, you can change how this looks.

23 00:02:11.420 00:02:12.210 Jasmin Multani: Oh, okay.

24 00:02:13.410 00:02:17.800 Advait Nandakumar Menon: Yeah, if you click on over here.

25 00:02:18.160 00:02:22.319 Advait Nandakumar Menon: Oh, no… okay. About clear, there’s a button, right?

26 00:02:24.090 00:02:24.600 Jasmin Multani: above it.

27 00:02:24.600 00:02:26.029 Advait Nandakumar Menon: Yeah, yeah, yeah.

28 00:02:26.200 00:02:32.599 Advait Nandakumar Menon: So you can just click on List, the top one. Instead of board, you can click on List, and…

29 00:02:33.290 00:02:34.469 Advait Nandakumar Menon: Yeah, it’ll show up like this.

30 00:02:34.470 00:02:37.960 Jasmin Multani: Thank you. Okay, thank you, thank you. Bye.

31 00:02:38.120 00:02:44.100 Jasmin Multani: Sometimes when people, when I’m getting interviewed for a job, and they’re like, have you used this? And I’m like.

32 00:02:44.230 00:02:46.420 Jasmin Multani: No, I haven’t, but…

33 00:02:46.810 00:02:51.900 Jasmin Multani: can it be? I’m telling you right now, I will take… it’ll take me a week to learn this software.

34 00:02:52.240 00:02:52.649 Advait Nandakumar Menon: the under.

35 00:02:52.650 00:02:54.549 Jasmin Multani: Lying decisions are the same.

36 00:02:55.160 00:02:56.980 Advait Nandakumar Menon: Yeah, it’s just like Jira.

37 00:02:57.300 00:02:59.309 Jasmin Multani: Yeah, yeah, yeah.

38 00:02:59.660 00:03:07.329 Jasmin Multani: I assume… Okay, let’s look at the priority for wholesale.

39 00:03:09.230 00:03:09.830 Advait Nandakumar Menon: Sure.

40 00:03:10.000 00:03:13.620 Jasmin Multani: How do you… were you able to read through this? How do you feel about it?

41 00:03:14.590 00:03:25.989 Advait Nandakumar Menon: I haven’t read through it yet, but what I want to understand is, should I be focusing on wholesale or retail first? Because I did start with…

42 00:03:26.290 00:03:37.770 Advait Nandakumar Menon: the retail… yeah, the geography one I was talking about. I ticked off some of the things I did quickly before I got pulled into default escalation, but, yeah.

43 00:03:38.580 00:03:42.580 Jasmin Multani: I think you should clear out retail, just because it’s a shorter…

44 00:03:43.120 00:03:43.450 Advait Nandakumar Menon: So…

45 00:03:43.450 00:03:44.160 Jasmin Multani: Lift.

46 00:03:44.240 00:03:54.680 Jasmin Multani: These are pretty straightforward. And, the turner… I just want to get through the number of backlogs for… done for, like, lowest hanging fruit, let’s get those first.

47 00:03:54.680 00:04:04.719 Jasmin Multani: So, and it’s a Friday. And so when we start on Monday, Monday, Tuesday just hit the ground running with wholesale, because they’re just bigger chunks.

48 00:04:05.000 00:04:12.730 Jasmin Multani: Okay. One thing I want to add, because we just introduced OmniSheets, and I want to…

49 00:04:12.730 00:04:13.210 Advait Nandakumar Menon: Yeah.

50 00:04:13.430 00:04:16.180 Jasmin Multani: test the limits of OmniSheets.

51 00:04:16.740 00:04:17.200 Advait Nandakumar Menon: Yeah.

52 00:04:17.200 00:04:20.929 Jasmin Multani: Because she liked the retail executive poll so much.

53 00:04:21.100 00:04:25.089 Jasmin Multani: Let’s start practicing it here. So, like, let’s.

54 00:04:25.090 00:04:25.410 Advait Nandakumar Menon: Okay.

55 00:04:25.410 00:04:29.210 Jasmin Multani: use… using OmniSheets.

56 00:04:29.670 00:04:32.120 Jasmin Multani: In this, data cut.

57 00:04:32.870 00:04:41.110 Jasmin Multani: So… Yeah, mirror… And so mirror this tab.

58 00:04:42.090 00:04:42.740 Advait Nandakumar Menon: Yeah.

59 00:04:44.400 00:04:50.830 Jasmin Multani: and adopt adapt using, OmniSheets.

60 00:04:50.990 00:04:51.810 Jasmin Multani: Right?

61 00:04:52.690 00:04:53.330 Advait Nandakumar Menon: Right.

62 00:04:53.560 00:04:56.690 Jasmin Multani: Let’s do that as an omni sheet.

63 00:04:57.760 00:05:02.399 Jasmin Multani: And then, I want… I really want us to use this time

64 00:05:02.840 00:05:10.370 Jasmin Multani: To understand, like, what is the lift between making, like, what is the lift when you’re making Omni sheets, right?

65 00:05:10.570 00:05:11.270 Jasmin Multani: And then…

66 00:05:12.310 00:05:15.290 Jasmin Multani: track time to make, OmniSheet.

67 00:05:15.960 00:05:31.710 Jasmin Multani: OmniSheets, figure out if we can, dynamically… the, upload,

68 00:05:33.180 00:05:39.180 Jasmin Multani: aspects of the Omni sheet into Omni Dashboard.

69 00:05:39.680 00:05:43.439 Jasmin Multani: reducing… do you know what that means? Do you know what I mean?

70 00:05:43.440 00:05:46.910 Advait Nandakumar Menon: Yeah, no, I was about to ask, so what do you really mean by this?

71 00:05:47.280 00:05:51.390 Jasmin Multani: So you know how, like, if I do copy-paste here.

72 00:05:51.610 00:05:55.689 Jasmin Multani: And then I go into… let’s like… I go into Google Docs.

73 00:05:56.050 00:05:58.160 Jasmin Multani: It says linked to spreadsheet, right?

74 00:05:58.790 00:05:59.150 Advait Nandakumar Menon: Right.

75 00:05:59.150 00:06:00.270 Jasmin Multani: or populates.

76 00:06:00.870 00:06:01.370 Advait Nandakumar Menon: Right.

77 00:06:01.370 00:06:18.899 Jasmin Multani: And from here, even though these are two different, areas, this is able… I’m able to link the table and, unlink, I can refresh, so all I have to really do is manage one sheet and make sure

78 00:06:19.230 00:06:25.399 Jasmin Multani: super crush So, I don’t know the language for that, maybe it’s literally called linking?

79 00:06:26.030 00:06:26.720 Advait Nandakumar Menon: Okay.

80 00:06:27.080 00:06:28.549 Jasmin Multani: Where’d it go? Where’d it go?

81 00:06:29.060 00:06:35.080 Advait Nandakumar Menon: Are you asking if we create a omniSheet, we can put it on the dashboard, is that a…

82 00:06:35.420 00:06:36.280 Jasmin Multani: Yeah.

83 00:06:36.840 00:06:46.440 Advait Nandakumar Menon: Yeah, that’s possible, like, if you have, looked in the link I sent, that’s what people are doing, like, they can create sheets and…

84 00:06:46.680 00:07:00.380 Advait Nandakumar Menon: There are, like, graphs and charts, and underneath, there’s a whole spreadsheet, which they created using OmniSheets, so that is possible, as per the link I sent, but yeah, I have to test it out, how it works.

85 00:07:00.540 00:07:07.159 Jasmin Multani: Yeah, link… let’s link aspects of it, and then, document, like, limits, any limits.

86 00:07:08.050 00:07:14.379 Jasmin Multani: Actually, just link it, and then, we can stress test it live.

87 00:07:15.510 00:07:16.150 Advait Nandakumar Menon: Okay.

88 00:07:16.600 00:07:25.019 Jasmin Multani: We can stress test it live, Make some… Make some, stacked.

89 00:07:25.930 00:07:30.919 Jasmin Multani: Stacked bar charts with this information.

90 00:07:31.520 00:07:37.270 Jasmin Multani: Do, like, a high-level visual of, trauma.

91 00:07:37.590 00:07:44.670 Jasmin Multani: of just, like, I think she mentioned, like, active… First river… Second.

92 00:07:46.120 00:07:47.370 Jasmin Multani: It’s a third.

93 00:07:48.620 00:07:51.319 Jasmin Multani: Okay. Without any… without any segmentation.

94 00:07:52.160 00:07:52.800 Advait Nandakumar Menon: Okay.

95 00:07:54.490 00:07:55.299 Jasmin Multani: Thank you.

96 00:07:57.170 00:08:03.940 Jasmin Multani: And your reminder… reminder, she likes… So… Oops.

97 00:08:04.870 00:08:08.860 Jasmin Multani: Plus, she wants one assistant,

98 00:08:12.090 00:08:13.239 Jasmin Multani: Keep it vertical.

99 00:08:14.020 00:08:15.590 Jasmin Multani: Okay.

100 00:08:16.580 00:08:20.560 Advait Nandakumar Menon: So… This will be on the Executive Pulse.

101 00:08:20.930 00:08:22.719 Advait Nandakumar Menon: But in another tab.

102 00:08:22.990 00:08:26.269 Advait Nandakumar Menon: Wherein you have the spreadsheet linked, and…

103 00:08:26.530 00:08:29.589 Advait Nandakumar Menon: the clustered bar chart or whatever below, is that…

104 00:08:30.500 00:08:32.279 Advait Nandakumar Menon: Is that a way of envisioning it?

105 00:08:32.679 00:08:38.629 Jasmin Multani: Yeah. But if there’s… if it’s easier to just make a net new dashboard, do that then.

106 00:08:39.100 00:08:57.080 Advait Nandakumar Menon: This will be a net new dashboard, because this is unlike Tableau or Power BI, like, the thing with linking in Omni is, like, you create different dashboards, and you’ll basically see it as three different tabs, but it’s essentially three different dashboards when you link it, so… yeah.

107 00:08:57.400 00:09:06.640 Advait Nandakumar Menon: it will look like it’s within the same dashboard. It doesn’t matter to the end user, but on the back end, it’s like 3 different dashboards we are creating.

108 00:09:07.320 00:09:09.929 Jasmin Multani: Okay, so make it, yeah, make it into,

109 00:09:10.900 00:09:16.960 Jasmin Multani: This will end up… this will end up being, a net new dashboard.

110 00:09:17.630 00:09:20.689 Jasmin Multani: And link it here.

111 00:09:23.810 00:09:24.840 Jasmin Multani: Oh, thank you.

112 00:09:31.190 00:09:38.799 Jasmin Multani: Eventually, I think we’ll have to do, like, a… we have to be mindful of, like.

113 00:09:38.990 00:09:46.259 Jasmin Multani: having so many floating dashboards around, but I think we’ll solve that as we go along.

114 00:09:46.670 00:09:47.300 Advait Nandakumar Menon: Yeah.

115 00:09:47.650 00:09:52.150 Advait Nandakumar Menon: I can see a world wherein, like, in the folders.

116 00:09:52.500 00:10:01.150 Advait Nandakumar Menon: We can just save which folders for her to look for, and the ones which are floating like this, or, like, linking, or whatever purpose we…

117 00:10:01.320 00:10:05.400 Advait Nandakumar Menon: Just put it in that folder, and don’t expose that folder to her, so we can…

118 00:10:05.970 00:10:07.289 Advait Nandakumar Menon: Have it like that.

119 00:10:07.450 00:10:09.859 Jasmin Multani: Yeah, yeah, yeah, good idea, good idea.

120 00:10:10.190 00:10:15.020 Jasmin Multani: We can discuss that. But does this ticket make sense? Let’s…

121 00:10:15.020 00:10:15.770 Advait Nandakumar Menon: Yeah.

122 00:10:16.030 00:10:29.730 Advait Nandakumar Menon: The only thing I want to check with you is, so when I’m importing that spreadsheet, that retail reporting, the summary report, so the data behind that, spreadsheet, if you can go to that report real quick.

123 00:10:31.470 00:10:33.390 Jasmin Multani: The dashboard?

124 00:10:33.890 00:10:36.419 Advait Nandakumar Menon: Not the dashboard, the spreadsheet for the retail.

125 00:10:37.320 00:10:38.110 Jasmin Multani: Mmm, yep.

126 00:10:38.110 00:10:39.140 Advait Nandakumar Menon: This one, yeah.

127 00:10:41.760 00:10:51.889 Advait Nandakumar Menon: So the data for this tab, I think it’s… if you click on one of the cells with values, it will show you where it’s taking from.

128 00:10:52.840 00:10:56.190 Advait Nandakumar Menon: Like, it’s coming from the Retail Weekly Raw Data tab.

129 00:10:56.560 00:10:58.770 Advait Nandakumar Menon: So, if you click on that.

130 00:10:59.740 00:11:03.500 Advait Nandakumar Menon: It looks like it’s not this one, the next one.

131 00:11:03.500 00:11:04.670 Jasmin Multani: Broad… okay.

132 00:11:04.670 00:11:05.990 Advait Nandakumar Menon: Yeah, yeah.

133 00:11:06.230 00:11:11.770 Advait Nandakumar Menon: So, this data is basically from Snowflake, I believe. I think they’re feeding it through this

134 00:11:11.870 00:11:26.649 Advait Nandakumar Menon: Google Sheet, and it’s refreshing, and that’s what’s showing on the first tab. So, I believe this is there in Snowflake, and this should be there in Omni. My only concern is that for this existing dashboard now, since I built it on one specific topic.

135 00:11:26.800 00:11:41.519 Advait Nandakumar Menon: And if that topic doesn’t have this table or whatever data, I might have to add it to the topic, or create another topic for this purpose, and then build the dashboard on top of it. So what I’m trying to say here is, when

136 00:11:41.630 00:11:58.220 Advait Nandakumar Menon: as far as I have seen or understood from the functionality for OmniSheets, there is this option to import this spreadsheet as a whole with the data you see here, but I don’t think that’s the aim. The aim is to really feed off the data from Omni slash Snowflake, right?

137 00:11:58.720 00:12:05.650 Jasmin Multani: I think she wants to deprecate… I think the goal is to, like, Make it auto, automatic.

138 00:12:06.090 00:12:06.410 Advait Nandakumar Menon: Yeah.

139 00:12:06.570 00:12:11.229 Jasmin Multani: So, it looks like they’re manually adding things here.

140 00:12:11.900 00:12:18.870 Advait Nandakumar Menon: I’m not sure if this is manual, or Avesh or Amber has set up a sync or whatever to go into here and populate it.

141 00:12:22.060 00:12:23.589 Jasmin Multani: Let me message her real quick.

142 00:12:25.980 00:12:29.640 Jasmin Multani: Let me message… aren’t.

143 00:13:34.190 00:13:35.179 Jasmin Multani: Yeah, awesome.

144 00:13:45.620 00:13:49.529 Jasmin Multani: Okay, so… I don’t know if we’ll get an answer on this.

145 00:13:50.160 00:13:50.800 Advait Nandakumar Menon: Yeah.

146 00:13:50.990 00:13:59.279 Jasmin Multani: So, I would say… Prioritize working on this for, oh, sorry.

147 00:14:02.350 00:14:03.920 Jasmin Multani: Let’s go back.

148 00:14:04.060 00:14:08.720 Jasmin Multani: Okay, actually, just want to clear out, does this make sense?

149 00:14:09.210 00:14:10.040 Jasmin Multani: That, like.

150 00:14:10.040 00:14:19.739 Advait Nandakumar Menon: It does, it does. Yeah, I can work on this, that’s the only question I wanted to clear up, because it would make sense to take the data from Snowflake or Omni, because

151 00:14:20.030 00:14:26.960 Advait Nandakumar Menon: whatever data is within the spreadsheet is living within there now, whether it’s static or dynamically being updated, I’m not sure, but…

152 00:14:28.540 00:14:37.230 Advait Nandakumar Menon: Yeah, so then the spreadsheet should work on top of that topic or data, and basically replicate what we are seeing in the raw Google Sheet today.

153 00:14:38.450 00:14:39.030 Jasmin Multani: Yeah.

154 00:14:39.550 00:14:40.800 Jasmin Multani: Yeah, yeah.

155 00:14:41.120 00:14:43.330 Jasmin Multani: I’m assuming that they’re gonna deprecate.

156 00:14:44.030 00:14:44.590 Advait Nandakumar Menon: Okay.

157 00:14:44.590 00:14:47.309 Jasmin Multani: Because, like, it gets broken so easily.

158 00:14:47.630 00:14:50.699 Jasmin Multani: Like,

159 00:14:50.910 00:14:59.320 Jasmin Multani: Or we just had to go in and, like, re-sync something, so it’s like, we may as well just do that, you know, on me, and make it source for, like, the raw data.

160 00:14:59.320 00:15:00.000 Advait Nandakumar Menon: Okay.

161 00:15:00.210 00:15:00.970 Advait Nandakumar Menon: Yep.

162 00:15:00.970 00:15:02.920 Jasmin Multani: I’m gonna label this as, like.

163 00:15:04.960 00:15:07.509 Jasmin Multani: This is number one, because it’s the easiest load.

164 00:15:07.880 00:15:08.230 Advait Nandakumar Menon: Huh.

165 00:15:08.230 00:15:09.879 Jasmin Multani: He’s number 2.

166 00:15:10.810 00:15:19.209 Jasmin Multani: Because, this is, like, this is where we’re documenting whether we need to… documenting how we’re gonna use OmniSheets.

167 00:15:19.210 00:15:19.770 Advait Nandakumar Menon: Yeah.

168 00:15:19.770 00:15:26.120 Jasmin Multani: And once we present this to her, we’ll then decide, like, how are we gonna introduce OmniSheets into wholesale

169 00:15:26.570 00:15:28.170 Jasmin Multani: So that’s why I just wanted to be, like.

170 00:15:28.170 00:15:28.740 Advait Nandakumar Menon: Yeah.

171 00:15:28.740 00:15:29.850 Jasmin Multani: cascading.

172 00:15:30.410 00:15:31.520 Advait Nandakumar Menon: Okay, yep.

173 00:15:31.520 00:15:35.200 Jasmin Multani: So, this is first, this is second, and then the other…

174 00:15:35.630 00:15:38.400 Jasmin Multani: This was pretty easy, too, so it’s like…

175 00:15:38.920 00:15:40.840 Jasmin Multani: But because Monday, you’ll be fresh.

176 00:15:41.440 00:15:41.969 Advait Nandakumar Menon: work on that.

177 00:15:41.970 00:15:46.239 Jasmin Multani: And then, this one can be number 3.

178 00:15:47.770 00:15:52.850 Jasmin Multani: And then, I’m still waiting for an answer here.

179 00:15:54.540 00:15:59.670 Jasmin Multani: So this will be for… And then, we’re gonna make this…

180 00:16:00.670 00:16:04.249 Jasmin Multani: Hi… actually, no, let’s make this one high.

181 00:16:05.350 00:16:09.840 Jasmin Multani: This is high, and then this one is… Number 2.

182 00:16:10.160 00:16:16.190 Jasmin Multani: Does that make sense, how I aggregated it? It’s like, a month’s 3 people, this is number one.

183 00:16:16.530 00:16:16.870 Advait Nandakumar Menon: Yep.

184 00:16:16.870 00:16:20.600 Jasmin Multani: 2, 3, and 4, and then amongst the wholesale, 1 and 2.

185 00:16:20.600 00:16:22.890 Advait Nandakumar Menon: That’s the… yeah, 9 and 2, yeah, yep.

186 00:16:23.730 00:16:28.469 Jasmin Multani: And let me also, like, figure out how I wanna…

187 00:16:30.510 00:16:33.020 Jasmin Multani: Because it sounds like she likes the daily check-ins.

188 00:16:35.040 00:16:38.679 Jasmin Multani: Sounds like she likes that. I don’t want to do it every single day.

189 00:16:39.330 00:16:45.580 Jasmin Multani: Do you feel comfortable just doing it Tuesday and Thursday? Like, doing a live walkthrough?

190 00:16:46.820 00:16:50.689 Advait Nandakumar Menon: Yeah, Tuesday and Thursday should be fine, yeah.

191 00:16:50.900 00:16:54.359 Jasmin Multani: because I just want to get answers directly from her.

192 00:16:54.470 00:16:57.189 Jasmin Multani: Because it sounds like she’s telling both of them…

193 00:16:57.950 00:17:02.769 Jasmin Multani: information, she’s telling Craig information, but the issue is, like, it’s not coming back to us.

194 00:17:02.930 00:17:06.430 Jasmin Multani: So, I’d rather get that directly.

195 00:17:06.560 00:17:19.599 Jasmin Multani: And I also just want to download how she works. I think the fact that she’s like, yeah, let’s start off whiteboarding, doing things visually, like, that was very helpful. And we got a clear decision that day, it’s like.

196 00:17:20.089 00:17:22.669 Jasmin Multani: For the next dashboards, like, and we have…

197 00:17:22.920 00:17:30.830 Jasmin Multani: so many coming up the pipeline. For those dashboards, we’re gonna do, like, a live brainstorming session, make it very.

198 00:17:30.830 00:17:31.170 Advait Nandakumar Menon: Visual.

199 00:17:31.170 00:17:40.090 Jasmin Multani: literally… Get a whiteboard, and then, do, like, a mock-up of rows versus columns.

200 00:17:40.380 00:17:40.810 Advait Nandakumar Menon: Hmm.

201 00:17:40.810 00:17:51.260 Jasmin Multani: can… and then map the Rose vs.com data tables, map out, like, which, charts we’re gonna build, and that’s actually something that OH, wants.

202 00:17:51.840 00:17:59.779 Jasmin Multani: Yeah. So, we can knock that all out, and, like, I do like working live, because it’s, like.

203 00:18:00.620 00:18:17.449 Jasmin Multani: Especially when we’re… we’re each… I mean, we’re each new to each other, so it also helps me figure out, like, okay, I can make these decisions offline. These decisions are the types of things that she wants to do in person.

204 00:18:17.530 00:18:22.000 Jasmin Multani: So I’ll also make that caveat that, like, we won’t forever be doing this.

205 00:18:22.510 00:18:22.970 Advait Nandakumar Menon: Yeah, yeah.

206 00:18:22.970 00:18:26.240 Jasmin Multani: beginning… in the beginning, I think it’ll be good to have high-touch mobile.

207 00:18:26.420 00:18:27.800 Advait Nandakumar Menon: Yeah.

208 00:18:27.970 00:18:34.759 Advait Nandakumar Menon: And I think she is someone who has a very strong opinion on how things should look, or the way she wants, so…

209 00:18:35.250 00:18:41.580 Advait Nandakumar Menon: yeah, this session of working together would be pretty useful, and yeah, I agree.

210 00:18:41.860 00:18:44.430 Jasmin Multani: Yeah, and the thing is, like, she’s the one who’s…

211 00:18:44.680 00:18:49.810 Jasmin Multani: gonna be arguing. So it’s like we have to make her look good, and like…

212 00:18:50.240 00:18:54.579 Jasmin Multani: If she can… We have… if she can explain things and make it…

213 00:18:54.950 00:19:00.929 Jasmin Multani: accurate, and we teach her, like, hey, this is how you look for things, I think she… she would…

214 00:19:01.080 00:19:03.130 Jasmin Multani: That just helps for a promo package.

215 00:19:03.800 00:19:04.510 Jasmin Multani: Yep.

216 00:19:04.510 00:19:05.070 Advait Nandakumar Menon: Yep.

217 00:19:05.180 00:19:06.180 Advait Nandakumar Menon: Family.

218 00:19:06.180 00:19:14.230 Jasmin Multani: Sounds good. Okay, thank you for being patient, I hope this is helpful. If you need anything else, just feel free to ping me.

219 00:19:14.720 00:19:24.329 Advait Nandakumar Menon: Sure, sounds good. I’ll get started with one of the retail dashboards, I mean, the one I was working on, and I’ll knock out the tickets, and yeah, I’ll let you know how it goes.

220 00:19:24.910 00:19:26.780 Jasmin Multani: Welcome! Thank you, thank you! Bye!

221 00:19:26.780 00:19:28.160 Advait Nandakumar Menon: Thank you. Bye-bye.