Meeting Title: AI-Default-ABC Standup Date: 2025-11-04 Meeting participants: Awaish Kumar, Rico Rejoso, Henry Zhao, Zoran Selinger, Uttam Kumaran, Robert Tseng, Amber Lin, Demilade Agboola


WEBVTT

1 00:01:43.400 00:01:44.700 Uttam Kumaran: Hello!

2 00:01:52.130 00:01:52.850 Awaish Kumar: Hello.

3 00:01:56.110 00:01:57.280 Uttam Kumaran: How’s everything?

4 00:01:59.330 00:02:01.150 Awaish Kumar: All good. How about you?

5 00:02:01.770 00:02:02.570 Uttam Kumaran: Good.

6 00:02:31.480 00:02:36.389 Uttam Kumaran: Okay, let’s talk about,

7 00:02:37.580 00:02:40.910 Uttam Kumaran: Eden first, since I think core folks are here.

8 00:02:45.920 00:02:47.929 Uttam Kumaran: Anyone wanna go?

9 00:02:50.260 00:02:51.690 Zoran Selinger: Sure,

10 00:02:52.690 00:02:59.469 Zoran Selinger: So, we are… hopefully, I’m getting a green light, to implement this new version of our Edge.

11 00:03:00.730 00:03:08.340 Zoran Selinger: So we’ll have a new… I just created a new table in BigQuery called Thank You Page Visits.

12 00:03:08.550 00:03:22.590 Zoran Selinger: And that will be… that will essentially allow us to… to cross-reference anything, any… anything. Basically, we can… we can merge session starts with thank you page visits and our bus orders.

13 00:03:22.800 00:03:25.899 Zoran Selinger: For them, this is… we’ll use it for…

14 00:03:26.130 00:03:35.619 Zoran Selinger: For catalysts initially, but of course, this can be used for other channels and other kind of attribution exercises that we want to have in the future.

15 00:03:38.530 00:03:47.220 Zoran Selinger: So I created a ticket for this. It’s 1112. That’s the ticket, it’s in progress.

16 00:03:48.890 00:03:49.470 Uttam Kumaran: Okay.

17 00:03:49.980 00:03:50.540 Zoran Selinger: Yeah.

18 00:03:51.310 00:03:53.730 Zoran Selinger: Yeah, so that’s the one.

19 00:03:54.640 00:04:03.630 Zoran Selinger: like we talked about before, so, Robert, I… I don’t know if you… if you looked at the ticket, I started doing, doing this.

20 00:04:03.860 00:04:12.830 Zoran Selinger: the method of creating tickets with success criteria and rollback strategy, and all of that, all those things. Just a quick mention of that.

21 00:04:13.460 00:04:16.339 Zoran Selinger: Okay. So, yeah, it’s…

22 00:04:16.550 00:04:29.829 Zoran Selinger: it’s there, I’m still waiting to hear from Ryan if I have a green light to change the code, but once I do that, it’ll be running immediately. Again,

23 00:04:30.080 00:04:46.399 Zoran Selinger: it shouldn’t affect anything. They are not… no longer on a free plan. This will not increase the number of… the number of, invocation of the function. It’ll be the same, it’s just, when the take-you page…

24 00:04:48.060 00:04:56.340 Zoran Selinger: it’ll be basically almost, just a little bit of more, more running time, but I just…

25 00:04:56.680 00:04:58.390 Zoran Selinger: That’s gonna be negligent.

26 00:04:58.570 00:05:01.779 Zoran Selinger: Not… that’s gonna be very small.

27 00:05:02.320 00:05:11.409 Zoran Selinger: A small amount of time of additional running, so it’ll be… basically, we won’t even notice it in our metrics.

28 00:05:11.750 00:05:15.790 Zoran Selinger: And we will have another table that really helps us.

29 00:05:17.200 00:05:23.809 Zoran Selinger: What is really cool here is that we are now avoiding completely anything on the client side.

30 00:05:25.460 00:05:38.110 Zoran Selinger: basically mitigating all the risks of tracking prevention and all of those things. We, if we… if we can get this going, we do not depend on the GTM for this at all.

31 00:05:42.450 00:05:53.549 Zoran Selinger: So that’s… that’s one, and of course, I mean, we still have a couple of… of attribution calls. We have a call with Norbima and attribution app.

32 00:05:53.770 00:05:54.880 Zoran Selinger: Tomorrow.

33 00:06:00.890 00:06:01.440 Uttam Kumaran: Okay.

34 00:06:01.440 00:06:02.000 Zoran Selinger: Yep.

35 00:06:06.670 00:06:14.599 Robert Tseng: You mentioned that Attribution and North Beam both got rescheduled to tomorrow, right? So, we’re gonna knock those out, and then hopefully close the loop on that conversation tomorrow.

36 00:06:17.650 00:06:33.710 Robert Tseng: I guess the one thing is, Zora, I think… I don’t know if we can… it’s gonna be with technical folks on both calls, if we can just show them or send them a… I’d probably not send, but show them what a sample payload would look like. Like, I think that’s really what I… I just… I don’t want to, like, have them dance around, like.

37 00:06:33.960 00:06:38.950 Robert Tseng: all these capabilities or whatever, I just wanted to make sure that they can do what we needed to do.

38 00:06:41.860 00:06:46.240 Zoran Selinger: Yeah, okay. My suspicion is that…

39 00:06:46.380 00:06:49.340 Zoran Selinger: There’s minimal differences between the tools.

40 00:06:49.480 00:06:53.649 Zoran Selinger: They’re all gonna ingest data pretty much very similarly.

41 00:06:53.970 00:07:06.650 Zoran Selinger: basically, their identity resolution is what’s… what can make them differentiate from the others, basically.

42 00:07:06.860 00:07:11.570 Zoran Selinger: And… That’s it. I’m interested to hear what the attribution app.

43 00:07:11.730 00:07:16.240 Zoran Selinger: what they have to say, but I suspect it’s gonna be pretty much the same.

44 00:07:17.620 00:07:27.459 Zoran Selinger: So we’ll see, we’ll see. We have to talk about what… what capabilities we have internally to solve this problem internally, fully.

45 00:07:27.760 00:07:29.280 Zoran Selinger: As well. I think…

46 00:07:29.280 00:07:29.960 Robert Tseng: Yeah.

47 00:07:30.790 00:07:36.350 Robert Tseng: Do you want to have that call, tomorrow before we jump on the calls with both of them, just to kind of touch base on that?

48 00:07:37.210 00:07:43.929 Zoran Selinger: I think… I mean, yeah, sure, let me see my… what’s… what’s my calendar like?

49 00:07:44.340 00:07:51.099 Robert Tseng: Yeah, I could, like, call you first thing in the morning, and I know you’re… you’re a bit more morning preference. Yeah. So before all these stand-ups or stuff. Okay.

50 00:07:51.100 00:07:53.000 Zoran Selinger: Cool, cool. Okay, that’s fine.

51 00:07:53.570 00:07:54.340 Robert Tseng: Okay.

52 00:08:01.770 00:08:04.959 Uttam Kumaran: Okay, great. Anything else on Eden?

53 00:08:05.640 00:08:09.249 Henry Zhao: Yeah, on my end, I’m doing HIPAA training today.

54 00:08:10.010 00:08:15.699 Henry Zhao: And getting ready to work on the pharmacy SLA stuff, and then just tying up any attribution loose ends.

55 00:08:21.050 00:08:21.710 Uttam Kumaran: Okay?

56 00:08:22.210 00:08:24.920 Awaish Kumar: Okay, for me, like…

57 00:08:25.030 00:08:32.139 Awaish Kumar: if Zoran finishes what is… whatever is working on the edge layer thing, I need to adopt the

58 00:08:32.350 00:08:36.549 Awaish Kumar: reverse ETL script to basically handle that.

59 00:08:37.049 00:08:39.049 Awaish Kumar: While sending orders to Catalyst.

60 00:08:42.990 00:08:43.650 Uttam Kumaran: Okay?

61 00:08:44.690 00:08:45.870 Uttam Kumaran: Is that tracked?

62 00:08:47.550 00:08:54.590 Awaish Kumar: Yeah, there was a ticket, but that was, like, I spent, 2 hours last week on that, and that was, I think, moved to Dan.

63 00:08:57.230 00:09:00.290 Henry Zhao: And then Awash, do you have time to help me with Eden 1053?

64 00:09:02.700 00:09:03.550 Awaish Kumar: Hollywood one?

65 00:09:03.550 00:09:07.900 Henry Zhao: It’s the one on medkits, we can talk about it if you…

66 00:09:08.010 00:09:09.909 Henry Zhao: I have additional questions, but yeah.

67 00:09:12.100 00:09:16.180 Henry Zhao: We just need to send, treatment follow-up reminders for those 5 medkits.

68 00:09:17.480 00:09:18.140 Awaish Kumar: Okay.

69 00:09:19.810 00:09:25.099 Awaish Kumar: We can discuss that, and yeah, for Catalyst, we don’t have a ticket here. We might need to add.

70 00:09:27.150 00:09:31.240 Uttam Kumaran: Yeah, I guess… I mean, yeah, tell me what to create.

71 00:09:32.120 00:09:41.259 Awaish Kumar: So, like, basically last week, I did kind of similar exercise, but the logic was that we are getting data, from

72 00:09:41.890 00:09:46.630 Awaish Kumar: task, and then I’ve… I’m joining it with the tax data, with a different logic.

73 00:09:47.270 00:09:57.969 Awaish Kumar: And basically to figure out which orders are from Catalyst, and sending it to the Catalyst platform. The only thing now gets changed is

74 00:09:58.120 00:10:05.070 Awaish Kumar: like, the Zoran will change a few things, like, it will… he will add transaction ID into the

75 00:10:05.220 00:10:09.480 Awaish Kumar: Thank you page, which basically will help me,

76 00:10:09.990 00:10:15.010 Awaish Kumar: Join both, both datasets easily, without,

77 00:10:16.420 00:10:26.039 Awaish Kumar: like, without using any extra logic, which I have been using so far. So, that is… will be, like, kind of change in the dbt model, basically.

78 00:10:27.870 00:10:33.329 Uttam Kumaran: Okay, that’s just so much con… that’s just so… I’m just so out of the loop.

79 00:10:33.330 00:10:38.500 Awaish Kumar: So, Catalyst, update DVD model for Catalyst successful orders.

80 00:10:38.840 00:10:40.060 Uttam Kumaran: Okay, thanks.

81 00:10:41.510 00:10:44.060 Uttam Kumaran: Sorry, I’ve… I… I’ve tried…

82 00:10:44.060 00:10:45.160 Robert Tseng: full life story.

83 00:10:45.470 00:10:47.939 Uttam Kumaran: I’m trying my best on Eden.

84 00:10:48.370 00:10:51.449 Uttam Kumaran: But I also am just a human.

85 00:10:56.230 00:11:04.599 Robert Tseng: Okay, I know that we were trying to do some backlog planning for Eden. That’s… that’s, on my mind for today, slash tomorrow. I think that…

86 00:11:04.600 00:11:10.750 Uttam Kumaran: Yeah, we can do it tomorrow, too. I just want to really make sure that, like, we do a hardcore, like, hour.

87 00:11:11.060 00:11:19.369 Robert Tseng: Yeah, yeah, because, you know, we… technically, we’ve been… we were supposed to be doing bi-weekly ELT check-ins. This would have been…

88 00:11:19.670 00:11:28.239 Robert Tseng: tomorrow would have been the check-in. I don’t think we worked on a deck in the past week, so I kind of just punted it to next week, and we’re gonna resume that bi-weekly cadence then.

89 00:11:28.510 00:11:37.820 Robert Tseng: I kind of set an internal hold on my calendar for, like, pretty much, like, a Wednesday, like, walkthrough.

90 00:11:38.040 00:11:52.819 Robert Tseng: their calendar’s kind of inconsistent. Sometimes they’ll be on there, or we could just do the Zoom recordings, which seemed to work well last time I did that with, Surf. So, if anything, it’s just like a… I just… I just set to… I just… I just put it on our internal calendar.

91 00:11:52.970 00:12:01.440 Robert Tseng: And then we can just kind of shift, shift things, so we need to have a deck ready by next week, is kind of what I’m looking at.

92 00:12:02.560 00:12:06.619 Uttam Kumaran: Okay, so can I put a meeting for tomorrow, like…

93 00:12:07.160 00:12:10.360 Uttam Kumaran: afternoon, on just, like, eating… Yeah. Okay.

94 00:12:12.580 00:12:13.360 Uttam Kumaran: Okay.

95 00:12:14.980 00:12:22.520 Demilade Agboola: Robert, are we able to get the affiliation report out? Like, the affiliation reconciliation report out?

96 00:12:23.020 00:12:35.369 Robert Tseng: I haven’t sent it out yet. I know I, like, kinda sent you a bunch of messages on a thread, and I haven’t looked at it since. So, yeah, I mean, I’ll… I’m assuming that you, had something, but I haven’t… haven’t looked at it yet.

97 00:12:36.100 00:12:41.440 Demilade Agboola: Okay, yeah, I responded, I just immediately a modification to the doc, but yeah.

98 00:12:41.990 00:12:48.860 Robert Tseng: Okay. I mean, generally, that’s… it’s right, right? Like, the numbers make sense. It does roll up to 190, but just needed to make sure that the,

99 00:12:50.520 00:12:55.229 Robert Tseng: That the, the reason for dispute is clear. That’s pretty much all I was trying to say.

100 00:12:55.900 00:12:57.410 Demilade Agboola: Yeah, the reason for disputes, Club.

101 00:12:57.870 00:12:58.920 Robert Tseng: Okay, cool.

102 00:13:01.630 00:13:07.570 Uttam Kumaran: Okay. And then, yeah, Zora and Henry and I talked a little bit today about, like, kind of marketing roadmap.

103 00:13:07.940 00:13:12.990 Uttam Kumaran: I think we can continue Probably the conversation tomorrow a little bit, too.

104 00:13:13.300 00:13:22.019 Uttam Kumaran: Okay. And then deliver you something, Robert. So, I’ll make sure, I think Henry and then Awash, I’ll have you guys on the call tomorrow.

105 00:13:26.130 00:13:27.450 Awaish Kumar: Okay.

106 00:13:28.090 00:13:31.140 Uttam Kumaran: Okay, great. Let’s talk about insomnia.

107 00:13:31.400 00:13:34.289 Uttam Kumaran: I saw updates went out,

108 00:13:35.290 00:13:38.039 Uttam Kumaran: Maybe if you want to give an update, Robert, on where we’re at.

109 00:13:38.040 00:13:49.619 Robert Tseng: Yeah, so Amber’s deck that was supposed to go out last week, I know that was kind of mean, like, not putting the final touches on it, so I did, I sent it out, I think it’s fine.

110 00:13:51.070 00:14:02.499 Robert Tseng: Yeah, I mean, basically, we did, like, the email portfolio analysis, and now… I think Birdie already has already left some feedback there. They’ve been asking questions, so that’s good. I think the next step there is just to…

111 00:14:02.950 00:14:03.670 Robert Tseng: Bye.

112 00:14:03.980 00:14:09.430 Robert Tseng: Just keep giving her what she needs so that she’s kind of actually adjusting the campaigns that she’s running.

113 00:14:09.570 00:14:14.330 Robert Tseng: And then the second front is, like, the… That kind of,

114 00:14:15.400 00:14:31.519 Robert Tseng: Amber had some findings on… she extended my macro, campaign analysis. I mean, the takeaway is basically we need better segmentation, so I think the next step is really the focus on the segmentation side. So, I think those are…

115 00:14:31.890 00:14:34.570 Robert Tseng: Basically, the things that we’re doing.

116 00:14:34.810 00:14:35.800 Robert Tseng: Acting.

117 00:14:35.960 00:14:38.030 Robert Tseng: Yeah, I think our engineering update…

118 00:14:38.200 00:14:43.209 Robert Tseng: I think it’s… I think it’s clear, but I think, they’re… they’re just…

119 00:14:43.360 00:14:52.010 Robert Tseng: Emerita’s just so out of the loop, she doesn’t really understand, like, what we’re doing, so… I think she was just confused, like, why… she thinks that we’re spending a lot of time on engineering, which…

120 00:14:52.150 00:15:04.179 Robert Tseng: I don’t think we really are, we’re just doing kind of the bare minimum to kind of streamline, like, the reports that we’re maintaining. So, I think, on the engineering side, just kind of… I…

121 00:15:04.290 00:15:16.239 Robert Tseng: I’m… she’ll probably call me sometime tomorrow, the day after, just to make sure that we’re not spending too much time there, because she thinks it’s kind of just… like, that she doesn’t understand, like, what… what…

122 00:15:16.240 00:15:20.730 Uttam Kumaran: Yeah, I would just stress to her that, like, for us to do reliable reporting.

123 00:15:20.880 00:15:25.089 Uttam Kumaran: And reliable analysis, we need a minimum threshold of, like, accurate data.

124 00:15:25.880 00:15:35.060 Uttam Kumaran: And they don’t have that for us. So, you could say the only reason we get to this point is because we did all these things, and certainly we’re not doing more.

125 00:15:35.260 00:15:38.479 Uttam Kumaran: I think one thing for us to,

126 00:15:38.480 00:15:40.099 Robert Tseng: And we should talk about this.

127 00:15:40.100 00:15:40.930 Uttam Kumaran: And…

128 00:15:41.080 00:15:46.650 Uttam Kumaran: delivery or figure out some cadence is, yeah, I think for the clients where we have a cap.

129 00:15:46.860 00:15:53.299 Uttam Kumaran: I think, Robert, we just need to deliver you, like, when we’re going above that. Like, I… I still think we… we’re not, like.

130 00:15:53.600 00:15:56.500 Uttam Kumaran: there yet on our Clockify reporting.

131 00:15:56.700 00:16:00.779 Uttam Kumaran: But I know we kind of got jammed this week, but yeah, I would tell them that, like, we’re…

132 00:16:01.200 00:16:05.570 Uttam Kumaran: We’re not doing more engineering for engineering’s sake, and that we kind of have.

133 00:16:05.570 00:16:06.720 Robert Tseng: So, based on that.

134 00:16:06.720 00:16:10.919 Uttam Kumaran: Robert Cantor seems like he’s kind of, like, getting on her side more, and…

135 00:16:11.020 00:16:16.709 Uttam Kumaran: I’m trying to work with the others to get access, so… yeah, it’s just helping us do better reporting.

136 00:16:17.380 00:16:20.289 Robert Tseng: Yeah, no, I think, that makes sense to me.

137 00:16:20.760 00:16:21.340 Uttam Kumaran: Okay.

138 00:16:21.530 00:16:22.200 Robert Tseng: Often.

139 00:16:22.890 00:16:32.099 Uttam Kumaran: Okay, cool. So is… can I move any, like, tickets around? Should I plan on just creating new tickets for, like, follow-up questions, basically?

140 00:16:33.330 00:16:33.960 Robert Tseng: Stop.

141 00:16:34.530 00:16:36.129 Robert Tseng: Yeah.

142 00:16:36.130 00:16:40.119 Amber Lin: Do you need me to make the slides for the macro analysis?

143 00:16:40.120 00:16:44.999 Robert Tseng: No, we don’t need slides there. I know we’re still blocked on the current thing.

144 00:16:45.290 00:16:48.980 Robert Tseng: I mean, to me, the engineering output is that, like.

145 00:16:49.110 00:16:55.309 Robert Tseng: I don’t know if we’re ready to do a revamped tracker, which doesn’t seem like we are, because we don’t have that data.

146 00:16:55.440 00:16:56.480 Robert Tseng: So…

147 00:16:56.900 00:17:02.910 Uttam Kumaran: To give you a sense on the currents thing, they basically said they can’t give us past 60 days unless we’re on Snowflake.

148 00:17:03.510 00:17:10.500 Uttam Kumaran: So, I’m a guide… The team towards making that decision, or if, like…

149 00:17:10.910 00:17:19.550 Uttam Kumaran: Do you want me to summarize that in the channel? I can. Basically, they stole all… they store all their data on Snowflake, and they’re like, if you have Snowflake, we can do a direct share.

150 00:17:20.240 00:17:29.769 Uttam Kumaran: it’s… again, they… they don’t seem to care much about, like, what info we’re using. They seem… they told me they trialed Redshift at some point, but they never used it, so…

151 00:17:30.630 00:17:32.410 Uttam Kumaran: I could make a push for it.

152 00:17:33.190 00:17:38.000 Uttam Kumaran: And we get all historical data since 2019 from Braze.

153 00:17:40.380 00:17:41.010 Robert Tseng: Huh.

154 00:17:41.680 00:17:45.059 Robert Tseng: That’s… Oh yeah, I wasn’t expecting that response.

155 00:17:45.060 00:17:46.529 Demilade Agboola: What’s the volume of the data?

156 00:17:47.740 00:17:49.479 Demilade Agboola: Like, do you have any help?

157 00:17:49.480 00:17:51.199 Uttam Kumaran: I can ask them, I have no idea.

158 00:17:52.090 00:17:56.669 Demilade Agboola: Because I’m not sure if it’s possible for a setup… for us to, like, work an integration.

159 00:17:57.760 00:18:00.909 Demilade Agboola: I mean, once we get re-watching yourself, like…

160 00:18:02.710 00:18:07.159 Uttam Kumaran: Yeah, I mean, we could get Snowflake and then move it out, but again, it doesn’t, like…

161 00:18:07.850 00:18:23.809 Uttam Kumaran: if… I’m just… if they… if, like, we can just make a decision on using Snowflake, then we should just use Snowflake. I don’t care, I don’t care much about where it ends up. I… it seems like I was messaging with Robert Cantor, and he was like, we use Redstiff at some point, we could probably turn it back on. I was like.

162 00:18:23.960 00:18:25.840 Uttam Kumaran: Turn something on, please.

163 00:18:26.130 00:18:33.829 Uttam Kumaran: But if we can do Snowflake, then I… and we get the braze thing, then I can put together a little decision, and we can try to get an okay on that.

164 00:18:35.590 00:18:40.999 Robert Tseng: Okay, wait, am I… so am I understanding this correctly? With currents currently, we can get 60 days.

165 00:18:41.000 00:18:41.570 Uttam Kumaran: Dang.

166 00:18:41.920 00:18:52.889 Robert Tseng: I mean, that’s… and that’ll always be… that’ll be, like, our… whatever, close to real time, or whatever. Like, that’s… that’s data that’s not, you know, it’s… it’s… it’s not, it’s not just sitting there. It’s going… it’s going to change.

167 00:18:53.070 00:18:58.730 Robert Tseng: But then all the historical stuff, we only need a one-time export, so why don’t we just get that, I don’t know, whatever we need to…

168 00:18:58.730 00:19:00.400 Uttam Kumaran: They’re not, they can’t give us that.

169 00:19:01.130 00:19:07.860 Robert Tseng: well, if we set up the Snowflake, and we get the data share, we get that export one time, then we can basically move it over to wherever we want, right?

170 00:19:08.720 00:19:11.279 Robert Tseng: I mean, I know it sounds kind of tedious to do, but, like.

171 00:19:11.280 00:19:16.329 Uttam Kumaran: That is true, I guess what my ask would be is, like, we decided on Mother Duck.

172 00:19:17.230 00:19:19.799 Uttam Kumaran: Sort of, like, without any consent.

173 00:19:20.670 00:19:23.380 Uttam Kumaran: we might… if we can just agree on Snowflake.

174 00:19:24.320 00:19:28.830 Uttam Kumaran: in a similar motion, and we just stay on Snowflake, then it’s just… Easier.

175 00:19:29.940 00:19:30.620 Robert Tseng: I see.

176 00:19:31.340 00:19:32.730 Uttam Kumaran: You know…

177 00:19:34.190 00:19:38.030 Awaish Kumar: But do we have an answer on,

178 00:19:38.140 00:19:42.480 Awaish Kumar: what is already being… like, they have holistics, which is already…

179 00:19:42.810 00:19:46.990 Awaish Kumar: Connected with some database, and do we have… do we know what that is?

180 00:19:47.610 00:19:49.480 Uttam Kumaran: Yeah, I can, I can ask that, too.

181 00:19:49.480 00:19:51.870 Robert Tseng: That’s their Azure, right? .

182 00:19:52.520 00:19:53.190 Awaish Kumar: Okay.

183 00:19:53.700 00:19:57.689 Robert Tseng: Yeah, it’s not AWS. AWS is, like, there’s nothing in there, yeah.

184 00:19:57.690 00:19:59.680 Awaish Kumar: Oh, that is, like, Azure Synapse?

185 00:20:02.550 00:20:08.660 Robert Tseng: Yeah, something like that, but I can ask him.

186 00:20:14.540 00:20:19.790 Robert Tseng: Okay. Well, I mean, ultimately, it’ll come down to their decision, like, how valuable is it to them that they’re…

187 00:20:20.240 00:20:21.600 Robert Tseng: click the light.

188 00:20:21.740 00:20:25.079 Robert Tseng: Her phone’s channel, and it’s, like, just… it’s just off by…

189 00:20:25.810 00:20:34.589 Robert Tseng: 200% from what Amber’s analysis shows. So it’s like, if you want to fix this and have more accurate reporting, you just have to do this. It’s just not even really…

190 00:20:34.690 00:20:37.040 Robert Tseng: That’s all I’m gonna tell them.

191 00:20:37.390 00:20:37.750 Uttam Kumaran: Okay.

192 00:20:38.210 00:20:39.030 Robert Tseng: Just book off.

193 00:20:40.910 00:20:53.109 Uttam Kumaran: So I think if we… if we end up doing a deck for next week, we could put one decision around, like, where we’re gonna store data. I could try to drive Robert… I could try to drive Robert Cantor to a certain, like, decision point.

194 00:20:53.350 00:20:57.240 Uttam Kumaran: And then get his feedback in that, and then get them to approve on something.

195 00:20:57.570 00:20:59.980 Uttam Kumaran: But, okay.

196 00:21:00.830 00:21:07.639 Uttam Kumaran: Okay. And then, I guess, Demolade, do you have a PR for, For this…

197 00:21:09.420 00:21:11.459 Demilade Agboola: No, not yet. I’ll send that in.

198 00:21:11.590 00:21:12.200 Demilade Agboola: D.

199 00:21:12.200 00:21:12.750 Uttam Kumaran: Okay.

200 00:21:16.330 00:21:23.440 Uttam Kumaran: Okay, cool. Anything else on insomnia? I guess, can I move some of these to done, if we’re gonna just do follow-ups?

201 00:21:24.340 00:21:25.400 Robert Tseng: Yeah.

202 00:21:26.500 00:21:27.040 Uttam Kumaran: Okay.

203 00:21:27.310 00:21:31.630 Amber Lin: The on the conversion rate. I don’t know if we can do that.

204 00:21:34.130 00:21:38.269 Robert Tseng: Yeah, so these are still blocked, right? So… Yeah, I’m talking about the internal review, right?

205 00:21:38.270 00:21:40.080 Uttam Kumaran: Yeah, yeah, yeah, the internal review.

206 00:21:40.800 00:21:44.079 Robert Tseng: Yeah, the first and third one, 207 and 196 can be moved.

207 00:21:46.360 00:21:47.560 Uttam Kumaran: So these we can move to Don.

208 00:21:47.900 00:21:51.570 Robert Tseng: Yeah, not Casey’s. I don’t… I didn’t really review what Casey’s… Oh, sorry, sorry.

209 00:21:51.810 00:21:52.480 Robert Tseng: Yeah.

210 00:21:52.640 00:21:55.439 Robert Tseng: But the two on… the two on Amber’s.

211 00:21:56.160 00:22:00.270 Amber Lin: Okay, I’ll make my tickets for the two things we just talked about.

212 00:22:04.800 00:22:13.380 Uttam Kumaran: Okay. I guess my, I would like us to do, like, a… a grooming tomorrow on…

213 00:22:14.760 00:22:20.639 Uttam Kumaran: on this and Eden, basically, if we can. Like, these are the two, kind of, like, top-of-mind things where I feel like.

214 00:22:21.170 00:22:26.990 Uttam Kumaran: We’re kind of always in limbo on roadmaps, so… just want to make sure we have a clear path.

215 00:22:27.390 00:22:36.179 Uttam Kumaran: Okay, cool. Yeah. What other… so, hype, we’re pausing, so… I think…

216 00:22:36.360 00:22:43.330 Uttam Kumaran: Yeah, I guess we’ll kind of just, like, leave it at that. Awash for context, like, Hype’s going through some litigation on their…

217 00:22:43.630 00:22:50.210 Uttam Kumaran: Like, whatever their clinic is, so they need to just pause work for a bit, so…

218 00:22:50.520 00:22:56.750 Uttam Kumaran: we’re gonna just do that. Do you want me to send a message, Robert, in the channel? Like.

219 00:22:57.400 00:23:02.659 Uttam Kumaran: Just some, like, I could just say, like, hey, I know how we’re pausing, we’re just gonna leave things where they are.

220 00:23:04.300 00:23:15.770 Robert Tseng: Yeah, I think… I think you can… I think you can send that message. Audrey said that she would send an email as well, but yeah, I guess we can acknowledge it, that, you know, we’re not gonna join whatever calls they put us in.

221 00:23:16.500 00:23:17.280 Uttam Kumaran: Okay.

222 00:23:17.700 00:23:21.449 Uttam Kumaran: Okay, great, and then… yeah, I guess, like, I know you’re at…

223 00:23:21.690 00:23:23.840 Uttam Kumaran: conference today, but I assume, like.

224 00:23:23.840 00:23:24.990 Robert Tseng: I’m on my way back.

225 00:23:25.100 00:23:29.730 Robert Tseng: Yeah, but Ali, I’m gonna work on that proposal on the train, on boarding, like, 10 minutes.

226 00:23:30.020 00:23:31.910 Robert Tseng: Yeah.

227 00:23:33.850 00:23:39.039 Robert Tseng: And then I’m gonna do a bunch of circle-back stuff. That’s some of the two things I’m gonna do on the train.

228 00:23:39.550 00:23:40.740 Uttam Kumaran: Okay, cool.

229 00:23:41.800 00:23:46.020 Robert Tseng: Read me, they’re on an off-site, so not, not worried, just let them… just let us sit there for the week.

230 00:23:46.660 00:23:53.310 Uttam Kumaran: Okay, okay. Yeah. And then the last client to talk about is that, yeah, we started stuff on Honey Stinger, so…

231 00:23:53.490 00:24:05.469 Robert Tseng: I think also… Sorry, one more note on README. I guess we did need to set… tell them that we wanted that extension, right? Because, theoretically, we need to… not theoretically, like, we actually need to just bump them, so maybe we can just schedule that towards…

232 00:24:06.510 00:24:10.380 Robert Tseng: Well, I mean, what’s the point of waiting? We might as well just, like, kind of tee it up earlier.

233 00:24:11.580 00:24:12.470 Uttam Kumaran: Yes.

234 00:24:13.310 00:24:14.080 Robert Tseng: Okay.

235 00:24:15.630 00:24:16.859 Robert Tseng: Singer kicking off.

236 00:24:17.410 00:24:24.890 Uttam Kumaran: Yeah, so maybe we can, like, I think tomorrow, if we could literally just do, like, an hour and a half on Honey Stinger, Eden, Insomnia.

237 00:24:25.220 00:24:25.690 Robert Tseng: Yeah.

238 00:24:25.690 00:24:27.130 Uttam Kumaran: I feel pretty good.

239 00:24:27.380 00:24:31.429 Uttam Kumaran: So, I would like us to just do that, and we can knock out, like…

240 00:24:31.710 00:24:36.270 Uttam Kumaran: Probably one to two… like, at least two weeks’ worth of work across the board.

241 00:24:36.760 00:24:38.850 Uttam Kumaran: That would be really, really helpful.

242 00:24:39.060 00:24:39.690 Robert Tseng: Okay.

243 00:24:39.690 00:24:46.569 Uttam Kumaran: Especially for Eden, I just want to set up Zoran to be able to kind of think through. We spent some time this morning thinking through

244 00:24:46.780 00:24:51.929 Uttam Kumaran: sort of big rocks for them, so we can, like, knock that out. That’ll be great for your presentation.

245 00:24:52.750 00:24:53.140 Robert Tseng: Okay.

246 00:24:55.360 00:25:07.630 Uttam Kumaran: Okay, perfect. And then, yeah, again, look, if tomorrow, during stand-up, we can use that time as well to talk through clients, we could do that, so… And then, yeah, today, I’ll be a little bit in and out, like, I’m gonna go present to ABC,

247 00:25:07.750 00:25:11.169 Uttam Kumaran: And then I have a… Sales meeting in person.

248 00:25:11.650 00:25:18.560 Uttam Kumaran: And then, yeah, Robert, I’m talking to Element at, 2PM. Can you join that?

249 00:25:19.530 00:25:33.360 Robert Tseng: I mean, I saw… I think that’s… I might still be on the train then, so I’ll try, but, may not be that reliable. I might… yeah. I mean, I’ll… I’ll join it, but I probably won’t show… show face, and I don’t.

250 00:25:33.360 00:25:40.959 Uttam Kumaran: No, yeah, just… yeah, I would just… I would just join. They basically… this is what they email me back, they’re look…

251 00:25:42.940 00:25:47.809 Uttam Kumaran: They were like, we have all these, blah blah blah, they’re trying to create this.

252 00:25:48.050 00:25:50.190 Uttam Kumaran: Some guy from tech is here, some guy from.

253 00:25:50.190 00:25:53.819 Robert Tseng: Can you just forward me that email so I can just kind of brief myself on it? Yeah.

254 00:25:54.160 00:25:55.050 Uttam Kumaran: Yeah, yeah, yeah.

255 00:25:56.530 00:26:02.080 Uttam Kumaran: Okay, cool. Alright, thanks everyone. Amber, do you want to stay on the line? We can just talk about ABC?

256 00:26:03.050 00:26:03.880 Uttam Kumaran: look like?

257 00:26:03.880 00:26:07.589 Amber Lin: Yeah, totally.

258 00:26:08.110 00:26:09.130 Uttam Kumaran: Or do you have to run?

259 00:26:09.480 00:26:10.689 Amber Lin: No, I don’t have to.

260 00:26:10.770 00:26:12.609 Uttam Kumaran: Okay. I was just muted.

261 00:26:12.610 00:26:13.290 Amber Lin: Yeah, okay.

262 00:26:13.290 00:26:13.920 Uttam Kumaran: Alright.

263 00:26:14.110 00:26:21.140 Uttam Kumaran: And then, Awash, do you want to stay on the line? Or maybe we could briefly talk, if the Urban Subs crew wants to stay on, that’d be great.

264 00:26:21.750 00:26:22.940 Awaish Kumar: Let’s talk about that.

265 00:26:23.910 00:26:25.510 Uttam Kumaran: Alright, thanks everyone else.

266 00:26:28.070 00:26:34.829 Uttam Kumaran: So, for urban stems, yeah, I guess,

267 00:26:35.010 00:26:42.590 Uttam Kumaran: Yeah, I guess Awash, now that, like, sort of hype is pausing, I think this would be… neat to do a really pretty significant push.

268 00:26:42.910 00:26:44.070 Uttam Kumaran: this month.

269 00:26:44.180 00:26:53.280 Uttam Kumaran: to get… stuff into… Looker. So I know we didn’t do… get to do, like, a formal planning,

270 00:26:54.540 00:27:02.470 Uttam Kumaran: yesterday, but I still see that, like, there’s a couple of, like, kind of flags for me that are still having issues. One is I still see that

271 00:27:02.630 00:27:03.970 Uttam Kumaran: Jobs are failing.

272 00:27:04.530 00:27:13.450 Uttam Kumaran: And I… we still got feedback from Emily last week that we’re not getting these into Looker. So… I just wanna…

273 00:27:14.080 00:27:19.520 Uttam Kumaran: kind of see a ways, like, how I can get your help in, like, owning that and, like, trying to make that possible.

274 00:27:22.340 00:27:28.830 Awaish Kumar: like, we are not getting that and look at what that means. Like, we do want them to use our new models.

275 00:27:29.010 00:27:33.910 Awaish Kumar: But that’s not how it’s happening, because we don’t have all the fields, or maybe not.

276 00:27:33.910 00:27:38.309 Uttam Kumaran: No, they just… they need help building, like, the Explorers, I think.

277 00:27:38.680 00:27:39.970 Awaish Kumar: Oh, God.

278 00:27:39.970 00:27:43.960 Uttam Kumaran: And, like, we just need to, like, make it available in Looker, I believe.

279 00:27:45.450 00:27:46.010 Demilade Agboola: Oh, right.

280 00:27:46.010 00:27:47.160 Uttam Kumaran: So, yeah.

281 00:27:47.940 00:27:51.799 Demilade Agboola: So for the inventory data, we already have it in Looker.

282 00:27:52.060 00:28:01.800 Demilade Agboola: They’re being used, for some of the, like, Revenue-driven model, like, transactions…

283 00:28:01.990 00:28:08.230 Demilade Agboola: box orders, a number of them. Now, I believe some of them are already in Looker, not all of them are.

284 00:28:08.780 00:28:18.479 Demilade Agboola: But I think the final stage is… I don’t think… I mean, Lee has gotten to the point where she feels like we should switch them into the…

285 00:28:18.710 00:28:20.599 Demilade Agboola: Find the existing dashboard.

286 00:28:22.160 00:28:22.810 Uttam Kumaran: Okay.

287 00:28:26.080 00:28:27.620 Uttam Kumaran: I guess, like, we…

288 00:28:27.880 00:28:36.010 Uttam Kumaran: Yeah, we just, like, I think there just has to be, like, some level of architecture work away from understanding, like, what that migration plan is, like…

289 00:28:36.730 00:28:37.880 Uttam Kumaran: And…

290 00:28:38.130 00:28:43.650 Uttam Kumaran: I think this is just something where I just need some help on working on how we get these

291 00:28:44.270 00:28:48.030 Uttam Kumaran: Like, how we can start to migrate

292 00:28:48.150 00:28:52.450 Uttam Kumaran: their things off of Looker, or what… what work… what, like.

293 00:28:53.490 00:28:58.089 Uttam Kumaran: yeah, kind of just, like, what the plan is for migrating. Like, we had a pretty good discussion

294 00:28:58.220 00:29:04.129 Uttam Kumaran: I think last week or the week before, on the looker plan, but it’s… I don’t know if I’m gonna have time to execute.

295 00:29:06.290 00:29:09.999 Awaish Kumar: Okay, I will start looking deeper into it.

296 00:29:10.440 00:29:18.060 Awaish Kumar: I did work on Metaplane last week, added a few more monitors for, I like…

297 00:29:18.250 00:29:25.270 Awaish Kumar: like, historical revenue models, but, yeah, now I also have a list from Emily.

298 00:29:25.460 00:29:30.419 Awaish Kumar: That what all the models are related to revenue, like, for the historical models.

299 00:29:30.860 00:29:33.580 Awaish Kumar: So I will add, like, all of them in the metaplan.

300 00:29:34.890 00:29:35.550 Uttam Kumaran: Okay.

301 00:29:37.350 00:29:43.370 Uttam Kumaran: Yeah, and then the last thing is, like, if you can just own, sort of, like, the job failures, I just want to make sure that, like.

302 00:29:43.620 00:29:50.459 Uttam Kumaran: I… I just… I can’t… I just need to be confident that if I… if I don’t look at it, like, somebody’s looking at them and making sure that they get resolved.

303 00:29:51.040 00:29:56.530 Uttam Kumaran: Like, I want to kind of get this month where we’re having a lot less job failures.

304 00:29:57.030 00:30:02.509 Uttam Kumaran: Or, like, whatever needs to happen to fix staging, for example, so that’s, like, a huge…

305 00:30:02.710 00:30:03.849 Uttam Kumaran: a huge thing.

306 00:30:04.440 00:30:05.520 Awaish Kumar: Okay, sure.

307 00:30:06.220 00:30:06.800 Uttam Kumaran: Okay.

308 00:30:08.020 00:30:13.490 Uttam Kumaran: Okay, great. Yeah, I feel like that’s…

309 00:30:13.900 00:30:17.740 Uttam Kumaran: That’s it for Urban STEM, so, maybe tomorrow…

310 00:30:18.240 00:30:21.620 Uttam Kumaran: If we have time, we can do a little bit of grooming, but yeah, I think…

311 00:30:21.870 00:30:26.439 Uttam Kumaran: Awash, given, like, hype is pausing, I would love to have some… some focus there.

312 00:30:26.440 00:30:27.030 Awaish Kumar: Hmm.

313 00:30:27.030 00:30:32.309 Uttam Kumaran: While we have a gap between now and new, clients starting, so…

314 00:30:32.970 00:30:35.790 Amber Lin: Should I cancel stand-up with Emily?

315 00:30:36.670 00:30:39.100 Uttam Kumaran: Yeah, I would… I could… I feel like…

316 00:30:39.100 00:30:41.880 Awaish Kumar: That’s fine, or unless, Awaits, you want to use the time to meet with her.

317 00:30:44.720 00:30:46.020 Awaish Kumar: Yeah, I…

318 00:30:46.570 00:30:51.909 Awaish Kumar: I will first go in and look into, like, what is in the booker, and okay.

319 00:30:53.010 00:30:58.529 Awaish Kumar: Did you know any, like, we have any, logs in the Redshift, like.

320 00:30:59.550 00:31:05.350 Uttam Kumaran: Yeah, so in Looker, you have all the logs on usage, and then if you… the meeting we had on Looker.

321 00:31:05.510 00:31:11.070 Uttam Kumaran: was really, really good. So if you rewatch that, you’ll get a full understanding of, like.

322 00:31:11.470 00:31:16.349 Awaish Kumar: Yeah, but, like, I just wanted to know, like, in the, for example, in…

323 00:31:16.870 00:31:24.350 Awaish Kumar: like, if we carry anything on BigQuery from Tableau or anywhere, we have logs in BigQuery. So it’s easy to carry them and figure out what…

324 00:31:24.650 00:31:25.950 Awaish Kumar: What… what is…

325 00:31:26.230 00:31:36.900 Awaish Kumar: being used, or not used, or things like that. We haven’t… do you know anyone? Do we have such kind of… Oh, no, it’s in Looker. Like, in Looker, the logs are there. Like, there’s content usage logs.

326 00:31:38.510 00:31:45.759 Awaish Kumar: Yeah, I know, like, the last one, last time we used that, in the, in the call, right? That was, like…

327 00:31:46.510 00:31:50.220 Awaish Kumar: That felt, like, more like a UI thing, so… I don’t know.

328 00:31:50.530 00:31:57.660 Uttam Kumaran: No, no, you can look all the way to the queries being run, All the way up to… Okay.

329 00:31:58.170 00:32:00.109 Uttam Kumaran: The dashboards, yeah.

330 00:32:01.090 00:32:02.979 Awaish Kumar: Okay, okay, I’ll look at it then.

331 00:32:03.360 00:32:03.960 Uttam Kumaran: Okay.

332 00:32:13.280 00:32:19.209 Uttam Kumaran: Okay, and then, yeah, Amber, maybe we can spend some time on just ABC stuff, so…

333 00:32:19.210 00:32:22.299 Amber Lin: Yeah, I wish, do you need the meeting with Emily? If not, I’ll cancel it.

334 00:32:22.970 00:32:26.169 Awaish Kumar: No, no, I will just finger when I need it.

335 00:32:26.170 00:32:27.470 Amber Lin: Okay, sounds good.

336 00:32:33.240 00:32:34.370 Amber Lin: Orange…

337 00:32:42.900 00:32:44.490 Uttam Kumaran: Okay.

338 00:32:45.440 00:32:50.740 Amber Lin: Alright, wanna pull up the slide and do a… Quick pass-through.

339 00:32:51.280 00:32:52.080 Uttam Kumaran: Yes.

340 00:33:20.500 00:33:21.170 Amber Lin: Thank you.

341 00:33:21.410 00:33:22.260 Amber Lin: Mmm…

342 00:33:22.780 00:33:24.110 Uttam Kumaran: Yeah, one second.

343 00:33:24.770 00:33:26.079 Amber Lin: I can pull it up.

344 00:33:26.790 00:33:30.080 Amber Lin: So…

345 00:34:36.380 00:34:38.570 Uttam Kumaran: Where’s okay.

346 00:35:40.630 00:35:44.059 Uttam Kumaran: Great, okay. Yeah, I’ll have this open on my laptop.

347 00:35:48.180 00:35:50.190 Uttam Kumaran: Let me go plug that in one sec.

348 00:36:36.160 00:36:37.350 Uttam Kumaran: Okay.

349 00:38:20.590 00:38:23.879 Amber Lin: Do you feel like you know what discussions we want to have?

350 00:38:24.430 00:38:25.500 Uttam Kumaran: Yeah, yeah.

351 00:38:25.800 00:38:28.629 Amber Lin: Okay, so I think we’ll have to guide them.

352 00:38:29.470 00:38:31.929 Uttam Kumaran: Yeah, I mean, this is mainly gonna be…

353 00:38:33.960 00:38:41.439 Uttam Kumaran: Yeah, I feel pretty good about talking through each of these stages, so let me just do one pass this, and I’ll kind of walk you through how I’m thinking about this.

354 00:38:41.440 00:38:42.010 Amber Lin: Okay.

355 00:39:49.050 00:39:50.370 Uttam Kumaran: Okay.

356 00:41:19.590 00:41:22.369 Uttam Kumaran: Should I, remove these? What do you think?

357 00:41:24.630 00:41:28.370 Amber Lin: Sure, yeah.

358 00:41:28.840 00:41:47.589 Amber Lin: I do want to point that out. I don’t know if it’ll come up, because they have residential commercial, but the property management is part of commercial, but is more, like, emerging and could be a different segment. But overall, I don’t know if they have different, different approaches to their different segments.

359 00:41:49.510 00:41:50.840 Uttam Kumaran: Yeah, I agree, okay.

360 00:42:20.520 00:42:23.270 Uttam Kumaran: Okay, so kind of, like, what I’m gonna do…

361 00:42:23.890 00:42:29.239 Uttam Kumaran: Do we have a slide that’s, like, just, like, big numbers, or… No.

362 00:42:29.240 00:42:34.360 Amber Lin: It’s this one, but… Okay.

363 00:42:34.360 00:42:35.780 Uttam Kumaran: I might do, like…

364 00:42:41.610 00:42:47.569 Uttam Kumaran: Sorry, this is where it becomes more of an art, and, like, I should probably just call Hannah, but,

365 00:44:13.170 00:44:16.150 Uttam Kumaran: Okay, so yeah, I’m basically gonna start by just…

366 00:44:16.740 00:44:22.609 Uttam Kumaran: briefing people again. I think the one thing I want to add here is that there needs to be a couple slides about us.

367 00:44:23.350 00:44:28.469 Uttam Kumaran: And so… I wanna see where we can get some of those.

368 00:44:28.900 00:44:32.480 Uttam Kumaran: Like, our customers’ slides, for example.

369 00:44:33.360 00:44:39.710 Uttam Kumaran: So I’m gonna pull that from… Hour…

370 00:45:33.260 00:45:38.209 Uttam Kumaran: I wish I had a picture with them, with, like, with the ABC team that I could put up, that’d be nice.

371 00:45:38.210 00:45:38.790 Amber Lin: a picture with you.

372 00:45:38.790 00:45:40.059 Uttam Kumaran: you with the ABC team.

373 00:45:41.560 00:45:47.810 Uttam Kumaran: But I’ll… but I’ll… I’ll mention, and I’m sure they’ll talk about it, but I’ll mention that we… good relationship with them.

374 00:45:48.570 00:45:50.599 Amber Lin: Okay, I’ll try to find it.

375 00:45:52.560 00:45:58.210 Uttam Kumaran: That’s fine. And then where is, like, our… Dax.

376 00:45:58.580 00:46:00.270 Uttam Kumaran: Okay, so…

377 00:48:02.980 00:48:10.750 Uttam Kumaran: Okay, and then the other thing is I kind of wanted to just pull up Andy, like, during the call, so let’s just try to do that right now.

378 00:48:11.150 00:48:15.779 Uttam Kumaran: Because there’s no better way.

379 00:48:16.800 00:48:26.360 Uttam Kumaran: I’m gonna go to… R. Rain Forge…

380 00:48:31.290 00:48:35.029 Uttam Kumaran: Oh, you already signed into the maximum… oh, that’s me?

381 00:48:35.980 00:48:37.500 Uttam Kumaran: Oh, okay.

382 00:48:39.300 00:48:39.990 Uttam Kumaran: Alright.

383 00:48:42.590 00:48:45.790 Uttam Kumaran: Oh, alright, I’ll just sign it to mine.

384 00:48:46.880 00:48:47.660 Uttam Kumaran: Funny.

385 00:48:55.300 00:48:59.340 Uttam Kumaran: Okay, so I would go to chat… I’ll go to Andy.

386 00:49:00.430 00:49:04.310 Uttam Kumaran: And… you can’t start a new chat, right? Like, a new chat instance?

387 00:49:06.000 00:49:08.119 Amber Lin: Turn… hmm.

388 00:49:09.080 00:49:11.920 Uttam Kumaran: That’s fine. No, I don’t think so. That’s okay, that’s okay.

389 00:49:12.030 00:49:16.740 Uttam Kumaran: Do we treat honeybees?

390 00:49:19.190 00:49:20.490 Uttam Kumaran: Yeah!

391 00:49:20.490 00:49:21.559 Amber Lin: have that.

392 00:49:22.270 00:49:23.750 Uttam Kumaran: Let’s go!

393 00:49:34.080 00:49:34.790 Uttam Kumaran: Huh?

394 00:49:58.280 00:49:59.780 Uttam Kumaran: Okay, that one worked.

395 00:50:33.850 00:50:34.920 Uttam Kumaran: Nice.

396 00:50:36.570 00:50:37.400 Uttam Kumaran: Okay.

397 00:50:53.040 00:50:56.120 Uttam Kumaran: Okay, alright, I feel pretty good.

398 00:50:59.640 00:51:03.950 Uttam Kumaran: So… I will probably just demo these three.

399 00:51:04.450 00:51:08.830 Uttam Kumaran: And… I’m basically gonna start the meeting would be, like, I just wanna…

400 00:51:10.630 00:51:15.010 Uttam Kumaran: Just show everybody, like, kind of, like, what we’re talking about for folks that aren’t on the ground.

401 00:51:15.480 00:51:25.170 Uttam Kumaran: I’ll talk through this. I’m also gonna then jump into… The ABC deck…

402 00:51:26.390 00:51:35.610 Uttam Kumaran: I just… I’ll start by saying, like… and then at this point, I’m also gonna ask, like, and would love to get Matt and Steven, like, your feedback on, like, how it’s been working with us.

403 00:51:35.800 00:51:46.320 Uttam Kumaran: basically just get them to gas us up at that point. I’m gonna talk… I wanna share, like, refresh, Beau, on, like, who we are.

404 00:51:46.520 00:51:49.769 Uttam Kumaran: And also tell them, like, kind of share, like.

405 00:51:50.300 00:51:52.940 Uttam Kumaran: The clients that we’ve worked for.

406 00:51:54.800 00:51:59.380 Uttam Kumaran: And kind of show, like, hey, in just, like, a few years, we’ve grown

407 00:51:59.700 00:52:03.650 Uttam Kumaran: Pretty fast, and we’ve done a lot of, great work

408 00:52:03.810 00:52:14.840 Uttam Kumaran: and we think we can do more for y’all. I want to talk to them about how we… our team did some research, and, you know, in talking with 3G, we know that it’s becoming a tougher business, but it’s a growing business,

409 00:52:15.140 00:52:30.159 Uttam Kumaran: And, you know, we want to make sure that you guys are capturing that growth. And so, from our lens, similar to you guys, customers are the most important piece, and so today, we kind of wanted to do a bit of a presentation to learn more about how you think about your customers.

410 00:52:30.280 00:52:32.170 Uttam Kumaran: All the way through the journey.

411 00:52:34.000 00:52:37.430 Uttam Kumaran: And at this point, like, I’ll kind of see how… if they’re…

412 00:52:37.700 00:52:45.489 Uttam Kumaran: look good with that, they want to take a different direction. But ultimately, on this, basically, what I want to do, and maybe just even…

413 00:52:46.370 00:52:48.569 Uttam Kumaran: I may even, like, move this up.

414 00:52:55.040 00:52:59.540 Uttam Kumaran: And I may say, today’s objective, and I may just put this again at the end.

415 00:53:00.070 00:53:04.140 Uttam Kumaran: But I wanna say, like, today’s objective…

416 00:53:04.410 00:53:07.050 Uttam Kumaran: Is to answer this question.

417 00:53:08.290 00:53:11.499 Uttam Kumaran: It’s like, where else can we be helpful?

418 00:53:12.530 00:53:20.690 Uttam Kumaran: And I’ll talk… I can walk through them through areas in their company that we’ve identified, you know, through each part of the journey.

419 00:53:20.860 00:53:21.459 Uttam Kumaran: And I’ll just…

420 00:53:21.860 00:53:22.880 Uttam Kumaran: Rip it from there.

421 00:53:23.770 00:53:24.400 Amber Lin: Okay.

422 00:53:25.840 00:53:27.469 Uttam Kumaran: Okay, great. Perfect.

423 00:53:27.920 00:53:33.070 Uttam Kumaran: Thank you so much, this is great. Let’s see, let’s see how it goes. Of course. I’ll walk out there with some more money.

424 00:53:33.070 00:53:35.139 Amber Lin: Do we have case studies ready?

425 00:53:35.590 00:53:47.049 Uttam Kumaran: Yeah, so I have put some in the back here, and I will talk to them about some of the clients we’ve worked for. Okay, okay. We have an appendix deck with all of our case studies, so yeah.

426 00:53:47.680 00:53:48.880 Amber Lin: Okay, awesome.

427 00:53:49.140 00:53:49.720 Amber Lin: Great!

428 00:53:49.720 00:53:50.180 Uttam Kumaran: Okay.

429 00:53:50.180 00:53:51.330 Amber Lin: I look forward to it.

430 00:53:51.550 00:53:53.929 Uttam Kumaran: Alright, thank you so much, I’ll tell you how it goes.

431 00:53:54.900 00:53:56.620 Amber Lin: Should I… do you want me to be there?

432 00:53:57.150 00:53:59.460 Uttam Kumaran: No, it’s in person.

433 00:54:00.010 00:54:02.380 Uttam Kumaran: I don’t know, I don’t know whether we’re gonna use…

434 00:54:02.380 00:54:02.810 Amber Lin: Funny.

435 00:54:02.810 00:54:03.870 Uttam Kumaran: eats or not.

436 00:54:03.870 00:54:04.859 Amber Lin: Oh, okay.

437 00:54:04.860 00:54:06.439 Uttam Kumaran: Drive over there right now.

438 00:54:06.690 00:54:09.579 Amber Lin: Okay, cool, then I probably won’t be online. Okay.

439 00:54:09.580 00:54:14.529 Uttam Kumaran: Okay, if it is on meats, I’ll let you know, feel free, but I’m just not sure what the setup is, so…

440 00:54:14.530 00:54:16.740 Amber Lin: Yeah, alright. Sounds good. Okay.

441 00:54:16.950 00:54:18.939 Uttam Kumaran: Alright, thank you. Alright.

442 00:54:18.940 00:54:19.500 Amber Lin: Bye.