Meeting Title: Technical Design Document Review Date: 2025-07-23 Meeting participants: Amber Lin, Demilade Agboola, Uttam Kumaran


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1 00:00:40.950 00:00:42.380 Amber Lin: Bye.

2 00:00:43.690 00:00:44.570 Demilade Agboola: Hi! I’m going.

3 00:00:45.620 00:00:47.499 Amber Lin: Oh, I am so dead!

4 00:00:49.030 00:00:54.099 Amber Lin: I know I can’t even think right now. I’ll let you guys lead.

5 00:00:57.470 00:00:58.770 Amber Lin: How are you doing.

6 00:00:59.570 00:01:02.430 Demilade Agboola: I’m alright. I’m tired, but I’m okay as well.

7 00:01:02.940 00:01:05.690 Amber Lin: I know your voice sounds like it’s gotten better.

8 00:01:06.060 00:01:13.679 Demilade Agboola: Oh, yeah, yeah, it’s it’s gotten way. Better. If I talk for long periods, though he starts to hurt. But it’s.

9 00:01:13.680 00:01:14.670 Amber Lin: Whoa!

10 00:01:14.940 00:01:15.870 Demilade Agboola: It’s not.

11 00:01:16.000 00:01:17.659 Demilade Agboola: It’s not as bad as last week, I said.

12 00:01:17.660 00:01:18.450 Amber Lin: Nice.

13 00:01:20.820 00:01:21.600 Amber Lin: Hmm.

14 00:01:22.090 00:01:24.950 Demilade Agboola: So it’s not as bad as last week at least. I have a voice now.

15 00:01:27.179 00:01:28.219 Amber Lin: That’s good.

16 00:01:30.280 00:01:35.740 Amber Lin: Do you know what the status of the current technical design document is like?

17 00:01:38.250 00:01:49.539 Demilade Agboola: so I know. With Tom dropped the template. I know Kyle was supposed to like. Go and add some of the stuff from the audits he’s done into it.

18 00:01:51.631 00:01:56.220 Demilade Agboola: That. That is the current date.

19 00:01:56.760 00:01:58.190 Amber Lin: I see.

20 00:01:58.900 00:02:05.850 Amber Lin: Well, I asked how to add stuff earlier. There’s hit.

21 00:02:06.660 00:02:17.430 Amber Lin: I’m looking, I know. Uton put the template. Is there a different, Doc, I should be looking at because I’m looking at the original one I was. I don’t think this is ready to be presented

22 00:02:17.670 00:02:18.810 Amber Lin: yet.

23 00:02:19.660 00:02:22.259 Amber Lin: Is there a different link. I should be looking at.

24 00:02:25.035 00:02:27.820 Demilade Agboola: Yes, boom.

25 00:02:27.820 00:02:30.270 Amber Lin: Do you drop it in our internal channel?

26 00:02:33.180 00:02:36.299 Amber Lin: Oh, no! I see if we’re

27 00:02:36.760 00:02:40.789 Amber Lin: see you from Monday. Oh, I see it! Never mind.

28 00:02:41.140 00:02:41.950 Demilade Agboola: Okay.

29 00:02:42.441 00:02:50.300 Amber Lin: Wait! That’s in owners trash. We I saw the template that that Kyle sent on Monday.

30 00:02:51.630 00:02:53.710 Demilade Agboola: I’ll just resistence. Yeah.

31 00:02:53.710 00:02:55.120 Amber Lin: Okay, thanks.

32 00:03:02.890 00:03:06.330 Amber Lin: Aha, okay, that makes sense.

33 00:03:08.580 00:03:18.210 Amber Lin: Oh, 1st state assessment research.

34 00:03:20.880 00:03:21.605 Amber Lin: Okay?

35 00:03:23.210 00:03:25.730 Amber Lin: Revenue pocket.

36 00:03:29.220 00:03:30.340 Amber Lin: Hi,

37 00:03:31.400 00:03:31.980 Uttam Kumaran: Mostly.

38 00:03:31.980 00:03:47.660 Amber Lin: To go over the technical design document to see if it’s ready to present. And then, if we have time left over, we have another meeting with stakeholders also on Thursday, mostly analysts, and just

39 00:03:47.660 00:03:52.150 Amber Lin: Kenny ready if we need to. If we want to prepare anything for that.

40 00:03:54.050 00:03:58.160 Uttam Kumaran: Okay, perfect. Yeah. Let’s let’s walk through this stock.

41 00:04:00.790 00:04:10.010 Uttam Kumaran: I just set up, you know, yesterday I spent time just setting up the entire template. So.

42 00:04:10.600 00:04:14.660 Uttam Kumaran: but some action items, that’s weird.

43 00:04:17.709 00:04:20.440 Uttam Kumaran: What do you think the lot of the structure.

44 00:04:22.487 00:04:27.920 Demilade Agboola: I think the structure structure is fine structure looks good. I

45 00:04:31.410 00:04:34.082 Demilade Agboola: I will say that.

46 00:04:35.400 00:04:37.110 Demilade Agboola: Let me say document.

47 00:04:37.960 00:04:44.349 Uttam Kumaran: Try to. I tried to like, basically, we have, like, probably 5 or 10 flavors of

48 00:04:44.510 00:04:46.320 Uttam Kumaran: like projects that we do

49 00:04:46.550 00:04:52.369 Uttam Kumaran: right like we, we have like data model stuff, we have data engineering, we have

50 00:04:52.610 00:05:02.398 Uttam Kumaran: product analytics. You know. So at the bottom of that template, Doc, I had like all these sort of plugins if we needed it.

51 00:05:03.850 00:05:07.470 Uttam Kumaran: but basically, I’m just hoping that we can get all of our

52 00:05:08.030 00:05:11.410 Uttam Kumaran: all of the core questions in one place.

53 00:05:11.700 00:05:15.069 Uttam Kumaran: So we can have like a technical discussion around how we’re gonna build this.

54 00:05:16.360 00:05:17.340 Demilade Agboola: Fair enough, fair enough.

55 00:05:19.370 00:05:20.040 Uttam Kumaran: This is.

56 00:05:21.860 00:05:28.519 Demilade Agboola: I’m trying to see Doug. Do we plan to finish all of this before tomorrow before we hand over.

57 00:05:29.117 00:05:31.340 Uttam Kumaran: No, I want to just present whatever we have.

58 00:05:31.610 00:05:32.270 Demilade Agboola: Oh, okay.

59 00:05:32.270 00:05:33.190 Amber Lin: Oh, okay.

60 00:05:33.690 00:05:34.630 Uttam Kumaran: I mean, like, there’s.

61 00:05:34.630 00:05:35.470 Amber Lin: Live, pressing.

62 00:05:35.726 00:05:39.309 Uttam Kumaran: Like. There’s no way we can finish this unless you guys think we can.

63 00:05:39.540 00:05:41.359 Amber Lin: - I don’t think so.

64 00:05:41.360 00:05:49.989 Uttam Kumaran: Yeah. So no, no, no reason to go for what we can. I just wanna I just want to present that this is how we’re tackling this

65 00:05:50.657 00:05:54.109 Uttam Kumaran: but also, I do think that we can make good progress on

66 00:05:54.330 00:06:00.079 Uttam Kumaran: a lot of this. I mean, really, my focus is less on 1, 2, 3,

67 00:06:00.640 00:06:04.149 Uttam Kumaran: actually, my focus is mostly on 3,

68 00:06:05.300 00:06:08.320 Uttam Kumaran: right? Like, what are we actually trying to solve here?

69 00:06:08.540 00:06:16.839 Uttam Kumaran: Like, what are the questions from the analysts that can’t be answered. What are the problems on our side on the technical side that like are causing us to slow down?

70 00:06:17.570 00:06:21.860 Uttam Kumaran: This is where like was, it’s a key learning is that we?

71 00:06:22.480 00:06:32.469 Uttam Kumaran: I don’t think it’s really clear. I mean, I know. I know this. I think Demote knows this, but I don’t think it’s clear for Kyle. I don’t think, Amber. It’s clear to you. I don’t think

72 00:06:32.630 00:06:42.619 Uttam Kumaran: it’s clear. I think Zach knows there’s problems, but he’s not clear what they are. So you guys all have to be on the same page of like, what is it we’re actually doing with this revenue model.

73 00:06:43.300 00:06:53.640 Uttam Kumaran: What are we actually doing here? So that’s so, 3 is what we need to focus on. And then in 5 is where we also need to figure out like, what our.

74 00:06:54.610 00:07:01.949 Uttam Kumaran: what are all the exit? What’s what’s existing? And then what needs to change? Basically.

75 00:07:02.560 00:07:03.270 Uttam Kumaran: But then.

76 00:07:03.530 00:07:03.990 Amber Lin: I see.

77 00:07:04.180 00:07:04.770 Uttam Kumaran: We can.

78 00:07:05.110 00:07:05.770 Uttam Kumaran: And then.

79 00:07:05.770 00:07:13.539 Amber Lin: The main stakeholders are Dean, another Dean, and then and Perry. We have.

80 00:07:13.540 00:07:14.120 Uttam Kumaran: Like that.

81 00:07:14.120 00:07:21.079 Amber Lin: The meetings booked with them next Monday next Tuesday, but Kyle can’t be there, and Demo can’t be there.

82 00:07:21.080 00:07:23.840 Amber Lin: So utham I put you there, and I put em.

83 00:07:23.840 00:07:24.530 Amber Lin: I don’t know.

84 00:07:24.530 00:07:25.859 Amber Lin: I don’t know if you’re able to join.

85 00:07:25.860 00:07:27.999 Uttam Kumaran: Yeah, I’ll be there.

86 00:07:28.000 00:07:35.710 Amber Lin: Okay, so that will help us to get closer to the stakeholders. But

87 00:07:36.300 00:07:40.330 Amber Lin: I don’t know if we can define these questions before we

88 00:07:40.690 00:07:45.009 Amber Lin: like before we meet with them, like I think we can have a high level overview.

89 00:07:45.320 00:07:52.570 Uttam Kumaran: No, no high levels, no more high level. What? What? That’s on Monday, right? Why can’t we figure it out by Monday?

90 00:07:53.190 00:07:57.850 Amber Lin: Oh, Monday and Tuesday cause. Their schedules are also big.

91 00:07:57.850 00:08:02.239 Uttam Kumaran: But like what’s why like, why can’t we get to the core questions by Monday?

92 00:08:03.010 00:08:03.559 Amber Lin: What do you mean?

93 00:08:03.560 00:08:11.769 Demilade Agboola: We should, we should be able to get to the call, like, basically, when we meet them on Monday, we should be able to say, Hey, we’re currently we’re building

94 00:08:11.930 00:08:15.666 Demilade Agboola: like the different parts and the different

95 00:08:16.510 00:08:21.240 Demilade Agboola: data sets that make up revenue things like your orders, things like transactions.

96 00:08:21.240 00:08:27.510 Amber Lin: Oh, I see, I see. Yeah, I I just meant that we won’t be able to present that to Zack tomorrow.

97 00:08:27.740 00:08:29.060 Amber Lin: That’s my point.

98 00:08:31.290 00:08:36.130 Demilade Agboola: I mean, we we can present about like questions, and, like some of the.

99 00:08:36.130 00:08:46.110 Uttam Kumaran: So I don’t. Yeah. I don’t see why, like on by Monday we can’t ask them question. I don’t. Wanna I’m not gonna go to a meeting where we’re like introducing ourselves. I don’t wanna have that meeting. Be like.

100 00:08:46.380 00:08:51.450 Uttam Kumaran: here are the. Here are the the 10 or 15 big areas that we found. Is there anything else.

101 00:08:52.370 00:08:53.450 Amber Lin: Oh, okay.

102 00:08:54.120 00:08:57.809 Uttam Kumaran: Yeah, I mean, I don’t. I don’t know like why I just don’t get why

103 00:08:58.090 00:09:00.100 Uttam Kumaran: you feel like we can’t do that on Monday.

104 00:09:01.730 00:09:08.220 Amber Lin: I meant that I can’t present what they say tomorrow, because the meetings on Monday that’s what I meant.

105 00:09:08.410 00:09:12.270 Uttam Kumaran: Oh, yeah, I mean, Tom, tomorrow’s meeting. Yeah. I mean, that’s

106 00:09:13.300 00:09:23.519 Uttam Kumaran: yeah. I mean, I can’t solve that. We have to. I I want to talk to Zack tomorrow, but tomorrow we have to present whatever state this is in, we have to present it, but also like

107 00:09:23.840 00:09:31.910 Uttam Kumaran: it’s, it’s not necessarily on you to present. Like all of this stuff like, if this is like a technical document.

108 00:09:32.040 00:09:38.790 Uttam Kumaran: I don’t wanna have a conversation where you’re like, hey, these are. I’m just reading from this, Doc, like that’s not a good. That’s not a good meeting.

109 00:09:39.808 00:09:44.600 Uttam Kumaran: Engine engineering talent should like we should be presenting what we found

110 00:09:44.740 00:09:48.670 Uttam Kumaran: right like there’s there’s no reason. This is. It’s sort of similar to like

111 00:09:48.810 00:10:02.929 Uttam Kumaran: putting slides up and then reading off the slide like no one needs that. So I would like whatever state this is in, let’s present it tomorrow. We can ideally again by tomorrow. I want to know. I want to have, like the section 3

112 00:10:03.330 00:10:09.759 Uttam Kumaran: is probably the core section, and then this section 5 will continue to

113 00:10:10.544 00:10:17.909 Uttam Kumaran: add things, and then we’ll mention to him that we’re meeting with them on Monday to get sign off on sign off. And more information.

114 00:10:18.420 00:10:25.270 Uttam Kumaran: I can provide feedback. I mean, like, I’m gonna provide feedback today on

115 00:10:25.560 00:10:33.090 Uttam Kumaran: the research and discovery phase. Like, maybe let’s just like, talk about that for a brief second. So I’m looking at like

116 00:10:34.030 00:10:39.609 Uttam Kumaran: main components is orders staging orders. Source of truth.

117 00:10:43.980 00:10:51.850 Uttam Kumaran: and then there’s like questions which is like one order can have multiple boxes, delivery status. So these are all great, like, I feel like this is, these are the things that we need to know.

118 00:10:52.880 00:10:53.550 Demilade Agboola: Yeah.

119 00:10:53.550 00:10:57.750 Uttam Kumaran: I don’t think probably this table format

120 00:10:58.120 00:11:00.270 Uttam Kumaran: is that best, but it’s best.

121 00:11:00.270 00:11:03.990 Uttam Kumaran: It’s yeah sorry, Beth.

122 00:11:04.500 00:11:08.649 Demilade Agboola: I think, yeah, we can just basically like, summarize this into like

123 00:11:08.790 00:11:16.860 Demilade Agboola: for orders. These are the models that are currently powered. These are the sources of truth, and these are the ingestion sources.

124 00:11:16.860 00:11:17.250 Uttam Kumaran: He’s like.

125 00:11:17.645 00:11:22.960 Demilade Agboola: These are the intermediate intermediary models where a lot of the the

126 00:11:23.660 00:11:28.069 Demilade Agboola: transformations occur. And this is the final model that powers everything.

127 00:11:28.801 00:11:35.969 Demilade Agboola: And then we can put like notes things to be noted. And we can also put like

128 00:11:36.910 00:11:54.339 Demilade Agboola: issues or like problems with this current approach. Basically so it could be. It will be a thing of like, hey? There are too many models, for instance. The flow. The flow isn’t within the same like

129 00:11:55.170 00:11:58.100 Demilade Agboola: the flow isn’t as clear as it needs to be.

130 00:11:58.659 00:12:03.599 Demilade Agboola: Because, yeah, you just realize that they’re tossed into different like

131 00:12:04.253 00:12:12.476 Demilade Agboola: folders and directories without necessarily a clear definition of how these things flow into one another.

132 00:12:12.990 00:12:13.640 Uttam Kumaran: Yeah.

133 00:12:14.600 00:12:22.210 Demilade Agboola: Yeah. So I just like, actually just putting down what these things are. There’s no clear pre migration post migration logic.

134 00:12:22.460 00:12:23.460 Uttam Kumaran: Yes.

135 00:12:25.010 00:12:26.270 Demilade Agboola: And.

136 00:12:26.270 00:12:31.719 Uttam Kumaran: What do you think about how this is formatted now? Like, let’s say I, just we we’ll we’ll keep the rows like this.

137 00:12:32.944 00:12:36.950 Uttam Kumaran: But we can just have notes below each section.

138 00:12:38.940 00:12:40.280 Uttam Kumaran: Does that make sense.

139 00:12:41.190 00:12:44.900 Demilade Agboola: Yeah, I mean, I don’t know how easy it is to read.

140 00:12:44.900 00:12:51.009 Uttam Kumaran: Like this, basically kind of see where my cursor is. Yeah.

141 00:12:51.260 00:12:52.559 Demilade Agboola: I’m right there.

142 00:12:53.010 00:12:55.179 Uttam Kumaran: Yeah, so like this, like

143 00:12:56.120 00:13:04.649 Uttam Kumaran: I, I actually don’t mind this level of granularity. I just want these to all be questions, like, basically QA.

144 00:13:04.780 00:13:06.390 Uttam Kumaran: Or like notes on each.

145 00:13:08.610 00:13:16.230 Uttam Kumaran: Right? So one order can have multiple boxes. It can have recipient info blah blah

146 00:13:16.400 00:13:20.840 Uttam Kumaran: comes from hevo like these are the notes.

147 00:13:21.290 00:13:23.100 Demilade Agboola: Yeah, fair enough, fair enough, fair enough.

148 00:13:23.250 00:13:28.389 Uttam Kumaran: Alright. That’s why that that’s why it’s kind of easy for us to not only see this here, but

149 00:13:28.600 00:13:35.179 Uttam Kumaran: basically, when we take this and stuff it into AI. It’ll be really easy for us to ask questions over it.

150 00:13:35.880 00:13:36.260 Demilade Agboola: Yeah.

151 00:13:37.720 00:13:50.530 Uttam Kumaran: So I think probably the biggest thing, Demote that would be helpful from you, and then I can layer on what I recall is on the core. Pain points

152 00:13:51.450 00:13:59.829 Uttam Kumaran: and like, I would say, probably focus less on like it’s, this is hard to debug. And like all the kind of generic stuff more about like.

153 00:14:00.050 00:14:04.839 Uttam Kumaran: what are the core business problems that they’re solving?

154 00:14:07.520 00:14:14.349 Uttam Kumaran: so that I think would be, I would like I would love to rely on you for that. I can provide feedback to Kyle

155 00:14:14.490 00:14:22.790 Uttam Kumaran: on the actual modeling side, and then start to help fill out what the architecture like, what the

156 00:14:23.050 00:14:26.180 Uttam Kumaran: design would look like for the next, like

157 00:14:27.190 00:14:29.339 Uttam Kumaran: for the for the updated data model.

158 00:14:29.790 00:14:35.459 Uttam Kumaran: Because that I feel pretty comfortable doing. It seems like a pretty classic orders, data model. And then with some nuance.

159 00:14:35.640 00:14:42.120 Uttam Kumaran: But I would like to get from you sort of the core problems that we’re that we’re solving

160 00:14:43.800 00:14:45.430 Uttam Kumaran: And things were unlocking.

161 00:14:46.810 00:14:53.369 Demilade Agboola: Alright cool, cool. I’ll just add that as like a section under 5 basically.

162 00:14:54.070 00:14:57.429 Uttam Kumaran: Yeah, honestly, you can add that under 3 I feel like.

163 00:14:57.700 00:15:00.420 Demilade Agboola: Okay, fair enough. I just saw that. Yeah.

164 00:15:00.420 00:15:04.330 Uttam Kumaran: Yeah, you can add under 3. I’ll just tag you here.

165 00:15:08.900 00:15:16.360 Uttam Kumaran: Add that under 3, and then add in on in in section 6 a.

166 00:15:16.860 00:15:22.010 Uttam Kumaran: This is where I think we’re going to work with Perry and Dean

167 00:15:22.170 00:15:28.100 Uttam Kumaran: to fill out 6 a. Is these business questions the reason why I I opted to

168 00:15:28.650 00:15:30.650 Uttam Kumaran: do this this way is because

169 00:15:30.790 00:15:38.320 Uttam Kumaran: you know, one of the things that I I was thinking a lot about reflecting on like past design documents is like the goal of this.

170 00:15:38.700 00:16:00.400 Uttam Kumaran: The goal of all of our work is to answer business questions. And so I I want to make sure that there’s a really clear tie into like what happens in business, like, you know, in working with a lot of engineers, we can get caught up in like the way this model and architecture, like I want to bias towards the results for the business. And so really outlining, like, what are the questions that can be answered.

171 00:16:00.500 00:16:01.730 Uttam Kumaran: And then

172 00:16:01.840 00:16:14.810 Uttam Kumaran: like how we’re gonna make sure that those are answered, and that we’re considering them. Here is really important, not things like, how much money do we make today and stuff like that? But more nuanced things? That way. We have the wish list from

173 00:16:15.150 00:16:24.510 Uttam Kumaran: them listed in the technical design. And then the data modeling Stra, like the data modeling strategy. And like how we’re going to do it. Not worried about that like that. That’s

174 00:16:24.690 00:16:29.180 Uttam Kumaran: I think that’s the easiest part of this. The hardest part is just making sure that we get it right

175 00:16:29.440 00:16:44.930 Uttam Kumaran: as much as right as possible on the 1st go. So amber for context, I think this 6 A is gonna be what we want to. 6 a. And really, the 1st column is going to be what we want to focus on with Dean and Perry.

176 00:16:46.700 00:16:58.590 Uttam Kumaran: and literally just trying to get as many questions listed as possible, because finally, as part of our output. I want to show Zack that for all the questions they’ve answered there is now an area and looker to go get that

177 00:16:59.080 00:17:01.750 Uttam Kumaran: like that is a full roundabout, you know.

178 00:17:04.045 00:17:04.950 Amber Lin: Okay.

179 00:17:04.950 00:17:05.430 Uttam Kumaran: Yes.

180 00:17:05.700 00:17:06.670 Amber Lin: Yeah.

181 00:17:06.670 00:17:09.999 Uttam Kumaran: So typically like a design document like this, and like a

182 00:17:10.160 00:17:14.540 Uttam Kumaran: classic engineering company, is more focused on.

183 00:17:14.640 00:17:16.690 Uttam Kumaran: how are we going to architect?

184 00:17:17.428 00:17:20.989 Uttam Kumaran: But my push back on that is

185 00:17:21.250 00:17:25.860 Uttam Kumaran: how we’re going to architect. This secondary towards is this going to solve the problem?

186 00:17:26.477 00:17:29.789 Uttam Kumaran: You know. And so I wanna make sure that

187 00:17:30.290 00:17:33.109 Uttam Kumaran: like. And and this is this is honestly something that I think

188 00:17:33.490 00:17:43.889 Uttam Kumaran: should also end up making it to the project plan longer term which is like, are we able to? And then data? This is out, this is out. But like, can we answer these questions reliably.

189 00:17:48.575 00:17:53.309 Uttam Kumaran: So this is what on on Monday I I would like to go through with them

190 00:17:53.540 00:18:03.729 Uttam Kumaran: as part of whatever demo lot I puts in here today. I will also start to list questions here, so we’ll come. We’ll come to that meeting with a list, so don’t worry, I will. We’ll set you up

191 00:18:04.290 00:18:06.999 Uttam Kumaran: that meeting. It’s not gonna this thing is not going to be blank

192 00:18:07.436 00:18:18.030 Uttam Kumaran: but I just wanna make sure that that meeting is highly focused on. I don’t. They don’t need. I don’t need their feedback on how to do this. I just need their feedback on like, are we missing anything like, are there other

193 00:18:18.410 00:18:23.509 Uttam Kumaran: not listed here? Are there other problems that didn’t surface? And then also, like.

194 00:18:23.710 00:18:31.780 Uttam Kumaran: let’s say, we solve those like, what is what are the like advanced questions that you want to ask, that you never thought would be possible in this business.

195 00:18:32.460 00:18:36.360 Uttam Kumaran: You know, that’s where these guys are sitting thinking about this data all day.

196 00:18:36.530 00:18:43.429 Uttam Kumaran: They have a wish list of like, Damn! I really wish I could like find out this question. Those are like the that’s the extra credit section.

197 00:18:50.960 00:18:54.090 Amber Lin: okay, I’m putting that in the agenda. So they know.

198 00:18:54.260 00:18:54.880 Uttam Kumaran: Cool.

199 00:18:59.620 00:19:00.690 Uttam Kumaran: Yeah. Sounds good.

200 00:19:01.434 00:19:05.660 Amber Lin: Is that all on this? On a technical design document?

201 00:19:06.480 00:19:08.329 Uttam Kumaran: I, I think, so, yeah.

202 00:19:08.940 00:19:17.049 Amber Lin: Okay, we have a meeting with just general out all the analysts. Most of them will be present. How do we want to use that meeting?

203 00:19:17.050 00:19:18.540 Uttam Kumaran: Is that tomorrow.

204 00:19:18.770 00:19:19.450 Amber Lin: Yes.

205 00:19:20.300 00:19:22.140 Uttam Kumaran: Yeah. How’s that been going so far?

206 00:19:23.527 00:19:31.589 Amber Lin: Last time. So that’s every that’s bi-weekly. Last time we presented on progress on inventory

207 00:19:31.960 00:19:34.900 Amber Lin: seminally presented on progress, on inventory.

208 00:19:35.590 00:19:38.626 Demilade Agboola: Yes, and I think that went well.

209 00:19:39.720 00:19:42.699 Demilade Agboola: I think what we want to present on.

210 00:19:43.900 00:19:51.819 Amber Lin: We don’t have to use as a presentation. If we don’t have anything we could use it as a discussion. I just don’t. I’m not sure what we want to discuss about.

211 00:19:54.730 00:19:58.130 Demilade Agboola: Try and see who’s gonna be around and who has accepted, and what.

212 00:19:58.521 00:20:04.780 Amber Lin: Seems like a lot of them has accepted. I think all of them, except for Stephanie.

213 00:20:05.170 00:20:06.020 Demilade Agboola: Yeah.

214 00:20:06.470 00:20:14.229 Demilade Agboola: I think it will be a good opportunity to start conversations about like data governance. And just like talking about some work we’ve done.

215 00:20:14.230 00:20:15.269 Amber Lin: Okay, that’s great.

216 00:20:15.540 00:20:21.089 Demilade Agboola: And how how to ensure. We don’t get into that scenario again. So, like best practices.

217 00:20:21.690 00:20:27.070 Amber Lin: Hmm on. Yeah, I think that’s pretty important. Do we need to prepare for that?

218 00:20:28.150 00:20:41.359 Demilade Agboola: Yes, slightly. We need to at least have just talk about like what we’ve cut. So we’ve cut 300 views. Blah blah, 600 dash like whatever whatever those numbers are we’ll need to get.

219 00:20:41.670 00:20:47.430 Demilade Agboola: but also then say, so just prevent, like a a build up of unnecessary

220 00:20:48.495 00:20:54.290 Demilade Agboola: tables and views and looks and dashboards. Occurring again.

221 00:20:56.870 00:21:02.519 Demilade Agboola: These are what we consider best practices. Let’s get your feedback as well on what you think works for the team.

222 00:21:03.510 00:21:05.660 Amber Lin: What issues do you think.

223 00:21:06.060 00:21:12.060 Demilade Agboola: Like these are what we think led to that situation is that the things we believe would help you avoid that build up.

224 00:21:12.360 00:21:27.000 Demilade Agboola: But then let’s also get feedback from their team. And maybe the reason why people are building dashboards is the data team does just does not exist and cannot handle our workload. So everyone is building out their dashboards. And you know, obviously, people forget to do that.

225 00:21:27.190 00:21:41.470 Demilade Agboola: So do we think about limiting the number of people that can build dashboards. Okay, even if people build dashboards that needs to be clean up every quarter. For instance.

226 00:21:41.470 00:21:42.260 Amber Lin: Okay.

227 00:21:42.300 00:21:53.059 Demilade Agboola: Goes around and cleans up what they’ve done over the past quarter, just basically like a month, or whatever the timeframe might be, just basically giving them what we’ve seen and getting everybody.

228 00:21:53.060 00:21:53.850 Amber Lin: Hello!

229 00:21:54.030 00:22:00.540 Demilade Agboola: Work on what might not work, so that we don’t get into a position where we have so much plots in the.

230 00:22:00.540 00:22:01.210 Amber Lin: Okay.

231 00:22:01.610 00:22:02.870 Demilade Agboola: Next like one year.

232 00:22:03.230 00:22:26.769 Amber Lin: Yeah, that sounds awesome. And you, what you described is a really collaborative approach. And I think it will work pretty well, because we’ll get them to agree to what they do, and we’ll get. Why, they’re doing that. I didn’t even think of it before you mentioned that. I have the slides. From last time we talked to Zack about the stuff we deprecated. I can make a quick one. You can just

233 00:22:26.770 00:22:35.250 Amber Lin: put like a few bullet points there of the best practices. I can send that to you.

234 00:22:36.040 00:22:37.020 Amber Lin: Let me.

235 00:22:37.020 00:22:41.969 Uttam Kumaran: Yeah, I think a good like question is just to ask, like, are people using new models.

236 00:22:42.480 00:22:43.060 Amber Lin: A hub.

237 00:22:43.060 00:22:44.150 Uttam Kumaran: If not, why not?

238 00:22:45.149 00:22:55.979 Uttam Kumaran: You know, like I, I would say, amber. This is similar to ABC, and that adoption for us, and like success. And for us is that the analysts use the new models and production?

239 00:22:56.530 00:23:02.780 Uttam Kumaran: Similar to ABC, right? So that’s like what I know we’re not. I don’t think we need to get as granular as measuring this, but

240 00:23:02.910 00:23:08.290 Uttam Kumaran: these are the folks that are gonna make or break like the success like Zack is not gonna be able to properly

241 00:23:08.440 00:23:10.089 Uttam Kumaran: qualify whether.

242 00:23:10.240 00:23:18.829 Uttam Kumaran: like we did the work properly. So the feedback from the analyst is going to be what he’s looking for. And so my job is to make sure that they’re enabled.

243 00:23:19.352 00:23:31.687 Uttam Kumaran: So like, how many like, yeah, I think it’s just good to have a casual conversation with them. You could also leave me as as optional on that that’d be great. And then

244 00:23:32.050 00:23:34.039 Amber Lin: Think you are, you might not let me.

245 00:23:34.040 00:23:35.489 Uttam Kumaran: I may have said, No.

246 00:23:36.215 00:23:45.080 Uttam Kumaran: but yeah. And then, yeah, that’s that’s that’s our ideal goal is what Demo is. So I think as much of a discussion that we can have would be better than

247 00:23:45.420 00:23:49.491 Uttam Kumaran: sort of just what running through slides.

248 00:23:50.440 00:23:52.470 Amber Lin: Yeah, I’ll just use it as an agenda.

249 00:23:52.470 00:23:53.450 Uttam Kumaran: Yeah.

250 00:23:55.860 00:24:01.781 Demilade Agboola: So some of the models are not necessarily so. The models that we’ve done are largely inventory based.

251 00:24:02.240 00:24:06.016 Demilade Agboola: They don’t necessarily pertain to every single person like, for instance,

252 00:24:07.060 00:24:12.600 Demilade Agboola: Perry is largely more revenue focused than someone like Felipe, who is inventory, focused

253 00:24:13.638 00:24:16.510 Demilade Agboola: and then also, it’s something like

254 00:24:16.760 00:24:23.240 Demilade Agboola: some of these new models. They are powering some of the dashboards that they use, especially especially their mother’s day dashboards.

255 00:24:23.350 00:24:41.770 Demilade Agboola: But I do know, Perry said something today that I was actually going to flag was that, like the dashboards that are powered by the polytomic data that they use for mother’s day in particular. Sometimes it breaks, and Perry is the only one that notices like no one goes. Oh, shit! Things are broken

256 00:24:42.020 00:24:47.229 Demilade Agboola: right being able to figure out like why, that is what those like.

257 00:24:48.590 00:24:55.840 Demilade Agboola: what numbers do they want to see that were important for mother’s day? That don’t seem to be important every single other time of the year.

258 00:24:56.516 00:25:04.940 Demilade Agboola: Also, we have added new numbers import in not points, I mean in looker like we’ve exposed them in looker created and explore for them.

259 00:25:05.512 00:25:13.390 Demilade Agboola: So just being able to see them use it as well, would also be helpful for the people who necessarily need to like look at inventory.

260 00:25:14.130 00:25:14.800 Uttam Kumaran: Okay.

261 00:25:19.640 00:25:22.939 Amber Lin: Okay. Yeah, I think we just need like.

262 00:25:23.170 00:25:24.139 Uttam Kumaran: Someone calls that.

263 00:25:24.140 00:25:30.860 Amber Lin: Bullet points, just so that we remember what we’re gonna talk about. I’ll copy that

264 00:25:31.420 00:25:44.320 Amber Lin: in our channel. And Demo, if you want to put any like best practice bullet points in there feel free. And then I think that’s that’s a pretty good agenda for tomorrow.

265 00:25:45.270 00:25:50.060 Amber Lin: Okay, I am satisfied. I don’t have any other questions.

266 00:25:54.250 00:26:04.019 Uttam Kumaran: Okay, cool. Yeah. I I’m excited. I think once we sort of do this for revenue model, we’ll we’ll be able to move on to the next one.

267 00:26:05.045 00:26:09.679 Uttam Kumaran: Hopefully, you know, and at least we can start planning in advance of.

268 00:26:09.940 00:26:10.700 Amber Lin: Yeah, I agree.

269 00:26:11.620 00:26:17.003 Amber Lin: I agree. And then this is a process. Guys, I want to try to scale to towards all of our other

270 00:26:17.740 00:26:21.039 Uttam Kumaran: Sort of teams as well on the data side. So anytime, even on Eden.

271 00:26:21.130 00:26:21.670 Amber Lin: Okay.

272 00:26:21.670 00:26:28.529 Uttam Kumaran: And if you guys are seeing that like, there’s a large chunk of work. I know Eden is sort of super reactive. But

273 00:26:28.955 00:26:34.369 Uttam Kumaran: I want us to try to do these, because this is going to be a great way for us to get feedback from

274 00:26:34.700 00:26:39.279 Uttam Kumaran: like a larger swath of people that may or may not be on the client.

275 00:26:39.410 00:26:43.120 Uttam Kumaran: particularly me, but also like a wish or other folks.

276 00:26:43.515 00:26:49.220 Uttam Kumaran: So I want us to to try to do this, you know, it will take some time, but this is

277 00:26:49.470 00:26:55.749 Uttam Kumaran: this is what you know, precipitates great engineering. So some of this is like a

278 00:26:56.020 00:27:02.409 Uttam Kumaran: if we just continue to fly, you know. Ticket by ticket by ticket. Sort of don’t have a sort of grand planning. It’ll be a little bit difficult. So

279 00:27:02.977 00:27:05.620 Uttam Kumaran: I’m glad we’re like instituting this process

280 00:27:06.046 00:27:26.590 Uttam Kumaran: the documents, like, I think this document template is kind of beefy, so I I will go through and cut stuff that like, I don’t want to write stuff down here that we all. It’s like all basic knowledge. And this isn’t really just for like we want to cross our t’s. I want this to be a useful artifact for us and for the client, and all throughout. Again, we have to show our work.

281 00:27:27.191 00:27:42.518 Uttam Kumaran: Right? So I don’t want to get caught in like zack doesn’t really know whether things are right. We never sort of wrote everything down. I know we have the project management plan, but that’s going to be more about how we execute, not what we execute. And so this is a great thing to have in our arsenal. And

282 00:27:43.140 00:27:49.060 Uttam Kumaran: you know, continues to push us to become, you know, great engineering. So yeah, thanks for investing time in this.

283 00:27:53.580 00:27:54.460 Amber Lin: Yay

284 00:27:55.970 00:27:59.867 Amber Lin: I think we should hop to the default link.

285 00:28:00.640 00:28:13.409 Amber Lin: Ryan was asking if we can move the meeting with him to a different time. I’m checking our calendar. Seems like we’re.

286 00:28:13.810 00:28:16.479 Uttam Kumaran: I would like Henry to be there. However, we.

287 00:28:17.710 00:28:24.029 Amber Lin: I agree. Let me check Henry’s time.

288 00:28:25.422 00:28:28.199 Amber Lin: Henry. And a way she’s meeting

289 00:28:28.490 00:28:36.040 Amber Lin: today so we could do later today. Tomorrow. I don’t see an opening.

290 00:28:36.040 00:28:38.450 Uttam Kumaran: I mean, what is, what does Henry have on his calendar?

291 00:28:40.760 00:28:41.270 Amber Lin: It’s okay.

292 00:28:41.270 00:28:41.770 Uttam Kumaran: This is easy.

293 00:28:41.770 00:28:42.310 Amber Lin: Based on.

294 00:28:42.310 00:28:44.950 Uttam Kumaran: Tell them to get. Tell them to get out of that stuff.

295 00:28:45.310 00:28:48.000 Amber Lin: Yeah, he’s unavailable from 9.

296 00:28:48.120 00:28:49.760 Amber Lin: Oh, today he’s like.

297 00:28:49.760 00:28:50.500 Uttam Kumaran: Tomorrow.

298 00:28:50.500 00:28:54.689 Amber Lin: Oh, tomorrow he’s unavailable from 9 to 12 Pm.

299 00:28:54.830 00:29:01.420 Amber Lin: My time and Ryan asked for it is exactly that timeframe. So that’s.

300 00:29:01.420 00:29:02.400 Uttam Kumaran: Oh, okay.

301 00:29:02.800 00:29:04.840 Amber Lin: Yeah, so I will.

302 00:29:04.840 00:29:06.850 Uttam Kumaran: Ping him and ask him if he can do that

303 00:29:07.480 00:29:16.880 Uttam Kumaran: like ping him in the client default channel. Just say like, Hey, just for this week, especially because he’s going to be out. Is there any way he could make an exception? I don’t know what he has during that time.

304 00:29:17.210 00:29:17.890 Uttam Kumaran: Worst case.

305 00:29:17.890 00:29:18.585 Amber Lin: Oh,

306 00:29:20.040 00:29:21.769 Amber Lin: He got double booked.

307 00:29:22.510 00:29:23.976 Uttam Kumaran: No, no, no, not Ryan.

308 00:29:24.270 00:29:24.969 Amber Lin: All right.

309 00:29:24.970 00:29:27.519 Uttam Kumaran: Like. Ask Henry whatever he’s blocked with

310 00:29:27.720 00:29:29.500 Uttam Kumaran: before that, can you? Can you? Just

311 00:29:31.550 00:29:33.870 Amber Lin: Are we ready? I don’t think so.

312 00:29:33.870 00:29:42.679 Uttam Kumaran: I would prefer to do this tomorrow. I think we I don’t. Wanna I don’t. I don’t think you’re gonna get any time from from Ryan today, like same day meetings, are we gonna be kind of screwed so.

313 00:29:42.680 00:29:43.270 Amber Lin: Yeah.

314 00:29:43.270 00:29:44.719 Uttam Kumaran: I would just ask Henry if you

315 00:29:46.690 00:29:50.490 Uttam Kumaran: wait. Wait, hold on! Hold on! I would just ask. I would just ask Henry if you can get

316 00:29:50.640 00:29:52.470 Uttam Kumaran: time within his block

317 00:29:52.630 00:29:57.590 Uttam Kumaran: because I don’t know what he’s blocked by, but ask him if he can make an exception, because he’s gonna be out.

318 00:29:58.330 00:30:03.269 Amber Lin: Okay, so not today.

319 00:30:03.660 00:30:06.329 Amber Lin: Ryan asked for today as well.

320 00:30:07.620 00:30:11.739 Uttam Kumaran: I mean, just like like, can you? Can you please just ask Henry about tomorrow first, st

321 00:30:12.000 00:30:25.159 Uttam Kumaran: and then we’ll make a decision. I I don’t want to book same day where I don’t think we’re ready, and like I have a lot of other stuff I’m planning. So if we can do tomorrow morning. Let’s like, try for that first, st and then we can discuss the slide.

322 00:30:25.160 00:30:26.490 Amber Lin: Okay. Let’s see.

323 00:30:28.660 00:30:30.890 Uttam Kumaran: I might not make it tomorrow.

324 00:30:32.560 00:30:33.569 Uttam Kumaran: Okay, that’s fine.

325 00:30:33.570 00:30:35.570 Amber Lin: It should be okay. If I’m not there.

326 00:30:45.850 00:30:48.859 Uttam Kumaran: Okay, anything else for this one. I’m just gonna opt in.

327 00:30:51.550 00:30:52.610 Uttam Kumaran: That’s your.

328 00:30:57.120 00:31:00.029 Uttam Kumaran: yeah. I’m good. With that. We’ll have someone.

329 00:31:00.730 00:31:01.180 Uttam Kumaran: Okay.

330 00:31:01.640 00:31:03.449 Uttam Kumaran: Thanks a lot. I talk to you soon.

331 00:31:04.430 00:31:06.569 Demilade Agboola: Thanks talk to you soon. Bye.