Meeting Title: Eden Project Status and Planning Date: 2025-08-28 Meeting participants: Awaish Kumar, Amber Lin, Robert Tseng, Uttam Kumaran
WEBVTT
1 00:02:38.110 ⇒ 00:02:39.570 Amber Lin: Hello!
2 00:02:41.930 ⇒ 00:02:46.100 Amber Lin: I’m so am I doing here. Do you know if Utom’s joining?
3 00:02:49.460 ⇒ 00:02:50.420 Amber Lin: -
4 00:03:00.940 ⇒ 00:03:02.520 Awaish Kumar: Honey.
5 00:03:02.920 ⇒ 00:03:03.650 Amber Lin: Bye.
6 00:03:04.190 ⇒ 00:03:13.669 Amber Lin: I don’t know if I was joining, I don’t know if Bob was joining, I’m checking their calendars right now. Oh, me and Liv? It doesn’t seem like… let me ask.
7 00:03:21.230 ⇒ 00:03:22.370 Robert Tseng: Ayy!
8 00:03:22.860 ⇒ 00:03:23.940 Amber Lin: Bye!
9 00:03:25.120 ⇒ 00:03:27.290 Robert Tseng: Slacked out for you guys.
10 00:03:27.880 ⇒ 00:03:28.720 Amber Lin: Huh?
11 00:03:29.240 ⇒ 00:03:30.910 Robert Tseng: Is Slack down for you guys?
12 00:03:31.330 ⇒ 00:03:36.239 Amber Lin: What do you mean? It’s wor- it seems like it’s working… for me.
13 00:03:36.570 ⇒ 00:03:39.200 Robert Tseng: It seemed to have crashed for me, so….
14 00:03:39.270 ⇒ 00:03:40.100 Amber Lin: Hmm.
15 00:03:40.580 ⇒ 00:03:41.750 Amber Lin: Interesting.
16 00:03:43.080 ⇒ 00:03:46.960 Robert Tseng: I was working on this, like, long message draft, and then it just, like, froze.
17 00:03:46.960 ⇒ 00:03:47.590 Amber Lin: Yeah.
18 00:03:47.590 ⇒ 00:03:50.429 Robert Tseng: Like, I think… I don’t know, it’s not really come back.
19 00:03:51.310 ⇒ 00:03:52.620 Amber Lin: Okay.
20 00:03:53.340 ⇒ 00:03:55.030 Amber Lin: -Oh.
21 00:03:56.080 ⇒ 00:03:57.610 Amber Lin: How’s everything?
22 00:03:59.240 ⇒ 00:04:07.980 Robert Tseng: Kind of crazy with, … yeah, I mean, I’m… I’m heading out tonight, so… That, and …
23 00:04:08.590 ⇒ 00:04:12.580 Robert Tseng: Yeah, with all the changes this week, ugh, this has been.
24 00:04:12.580 ⇒ 00:04:13.010 Amber Lin: and the….
25 00:04:13.010 ⇒ 00:04:16.320 Robert Tseng: from the… One of the tougher weeks, for sure.
26 00:04:17.019 ⇒ 00:04:19.869 Amber Lin: Yeah, Emma, and you also have school.
27 00:04:21.100 ⇒ 00:04:23.370 Robert Tseng: Yes, this was my first week of school.
28 00:04:23.660 ⇒ 00:04:24.015 Amber Lin: Mmm.
29 00:04:24.370 ⇒ 00:04:33.060 Robert Tseng: I’m actually going to try to hop off at… in 30 minutes so I can finish at least half of my readings before I go to box.
30 00:04:33.250 ⇒ 00:04:39.799 Amber Lin: Okay, that’s good. What do you… what do you want to talk about that’s urgent? We’ll speak.
31 00:04:39.800 ⇒ 00:04:53.449 Robert Tseng: Yeah, I think I just want us to be on the same page about, kind of, like, the Eden situation. I just spoke with Henry earlier, because he was, like, confused. He was like, what’s going on? Am I gonna be fired? Like, ugh. And I’m like, no, you’re fine, so…
32 00:04:53.580 ⇒ 00:04:58.330 Robert Tseng: Yeah, I feel like we have to do some damage control internally, because people are kind of just like…
33 00:04:58.830 ⇒ 00:05:12.000 Robert Tseng: not really ready for the changes. Okay, so I mean, I sent the message this morning, thank you for… yeah, thanks for the draft, but yes, I think just to be clear, Vashdev, Annie, and Andrew are all done at the end of this week.
34 00:05:12.000 ⇒ 00:05:12.960 Amber Lin: Sorry.
35 00:05:13.650 ⇒ 00:05:21.870 Robert Tseng: Yeah, that message, I’ll send it out to the ELTs, it’s fine. I already told Josh. Josh called me this morning.
36 00:05:22.030 ⇒ 00:05:32.210 Robert Tseng: Cause… yeah, just for… I think there’s a lot of stuff that gets lost in translation, so he…
37 00:05:32.630 ⇒ 00:05:35.579 Robert Tseng: Or whatever. So I did already tell him, so it’s okay.
38 00:05:35.800 ⇒ 00:05:53.870 Robert Tseng: And then Awash, I know you’ve been asking, waiting on the remote proposal, already sent it to them. They… I sent it to them yesterday. They were asking me a couple things. Is this a one-time fee? What’s gonna… what… what’s gonna happen to Awash? Like, doesn’t he work on Eden as well? So, like, there’s, like, some questions like that.
39 00:05:53.950 ⇒ 00:06:05.840 Robert Tseng: Which are fair, I think those are valid questions, but… so I think, that’s… we’re kind of just negotiating the terms of that, but I’m not gonna… I think the proposal is fine, like, we’re not gonna step down from it.
40 00:06:06.070 ⇒ 00:06:08.149 Robert Tseng: But yeah, I think there is, like, some…
41 00:06:08.490 ⇒ 00:06:18.180 Robert Tseng: there was just… yeah, I guess we could have been clearer about what does it mean to, like, loan a wish to Remo for 2 months, and then… I mean, I don’t know, like, I had to make something up.
42 00:06:18.480 ⇒ 00:06:28.680 Robert Tseng: I don’t think we’re all very clear on what that looks like yet, so I think it would be… be good for us to figure that out internally. But … but yeah, so that’s… that’s the situation with the Remo thing.
43 00:06:28.920 ⇒ 00:06:29.620 Robert Tseng: ….
44 00:06:29.620 ⇒ 00:06:30.600 Awaish Kumar: Perfect.
45 00:06:31.180 ⇒ 00:06:31.750 Robert Tseng: Yeah.
46 00:06:32.270 ⇒ 00:06:40.539 Robert Tseng: Okay, so, yeah, and then, yeah, I guess, have you ever been doing knowledge transfer kind of meetings, especially with Annie?
47 00:06:40.890 ⇒ 00:06:55.980 Robert Tseng: Yeah, I guess my mitigation with Henry was, okay, with Annie kind of winding down, I’m… her… her work is going to be split between me and Henry for now. Henry’s hours can go up a bit. He can go up to 30 hours, I think that’s fine.
48 00:06:55.980 ⇒ 00:06:56.570 Amber Lin: Okay.
49 00:06:56.570 ⇒ 00:07:09.500 Robert Tseng: And yeah, I’ll, like, I’ll support on things that he can’t do. Finance is not something he’s that comfortable with, so any Jonah-related, Adam-related things, are gonna come to… or will come to me.
50 00:07:09.620 ⇒ 00:07:15.460 Robert Tseng: The Andre guy, is that from, the, … I forgot.
51 00:07:16.080 ⇒ 00:07:17.390 Robert Tseng: Well, I’m talking….
52 00:07:18.400 ⇒ 00:07:24.959 Awaish Kumar: Yeah, I… I don’t know, from, I think, Ukraine or something like that.
53 00:07:26.440 ⇒ 00:07:30.969 Robert Tseng: Okay, I’ve heard the name tossed around. I don’t exactly know, because I’ve not talked to him.
54 00:07:30.970 ⇒ 00:07:33.640 Awaish Kumar: Yeah, he is experienced in, like.
55 00:07:33.780 ⇒ 00:07:38.050 Awaish Kumar: he has got quite a lot of experience in Tableau and Power BI.
56 00:07:39.060 ⇒ 00:07:39.780 Robert Tseng: Okay.
57 00:07:42.010 ⇒ 00:07:58.100 Robert Tseng: Okay, well, I don’t know how soon he would start, so, like, I think, at least in the immediate term, it’ll just be kind of a covered with me and Henry to kind of split the analysis stuff. I guess, Amber, yeah, anything that’s, like, finance or ELT related can come to me first, and, like, I’ll probably just…
58 00:07:58.260 ⇒ 00:08:01.150 Robert Tseng: try to handle that, and then, …
59 00:08:02.180 ⇒ 00:08:06.919 Robert Tseng: Yeah, I’ll still overlap a few, like, I’ll have, like.
60 00:08:07.680 ⇒ 00:08:24.100 Robert Tseng: I think I’ll be 10 hours ahead, so… yeah, it’ll be, like, my night time, like, while I’m in Kyrgyzstan, so, like, I’ll have, like, 3 hours… 2 or 3 hours a day to probably, like, do something. So, hopefully that’ll just buy us some time for next week. Yeah, and then…
61 00:08:24.380 ⇒ 00:08:36.650 Robert Tseng: Yeah, everything else can go to Henry. So, especially, like, the new supply chain manager and, like, Rebecca’s team, SLA reporting and things, I think Henry should, like, learn… learn that, I guess.
62 00:08:36.880 ⇒ 00:08:52.119 Robert Tseng: I know that Awash sent over a couple docs, so I’m just gonna… I’m gonna give Henry a list of POCs that he can go to. I think Awash, if you could just be his, like, main person, as he’s, like, learning things, like, …
63 00:08:52.350 ⇒ 00:08:59.029 Robert Tseng: obviously, you’ve talked to Annie, and you’d be able to support him there. I do think Henry would guess it, like, he’s… I think he’s doing fine, like.
64 00:08:59.130 ⇒ 00:09:16.020 Robert Tseng: The marketing stuff has kind of, like, calmed down, customer I.O, stable, like, everything. He’s the one training Judd, like, Judd has been saying… raving about him, so I think, like, the client is very happy with… with… or happier with… with Henry, so I think, that’s… I think… I think… I think that’s… I think that’s fine.
65 00:09:16.290 ⇒ 00:09:21.520 Amber Lin: But yeah, I think the more difficult ones are Jonah and ELT, so I will still try to.
66 00:09:21.520 ⇒ 00:09:31.700 Robert Tseng: Well, if there’s anything urgent, I guess the team will just have to manage, but with my limited constraints, like, I will… my top prior is probably just to
67 00:09:32.110 ⇒ 00:09:38.149 Robert Tseng: look at Eden stuff and just knock out tickets if I need to while I’m… while I’m out.
68 00:09:38.710 ⇒ 00:09:45.929 Amber Lin: I think on Annie’s side, Adam’s dashboard, luckily, is pretty much done, so that’s closed. What’s left, it’s…
69 00:09:45.930 ⇒ 00:10:06.500 Amber Lin: revisions to… Jonah had two dashboard requests, so he wanted an actuals dashboard and a forecasting dashboard. Right. The actuals dashboard, we did version 1, now we have revisions and some modeling tasks. Modeling tasks that ML is doing, and, told Annie not to do the finance dashboard for now, because she already did the Adam work.
70 00:10:06.540 ⇒ 00:10:08.869 Amber Lin: So remaining, it will be…
71 00:10:09.220 ⇒ 00:10:15.379 Amber Lin: Jonah’s, like, 1.5 dashboards. So that’s what’s… Okay.
72 00:10:15.680 ⇒ 00:10:16.560 Amber Lin: Yeah.
73 00:10:16.560 ⇒ 00:10:17.180 Robert Tseng: Okay.
74 00:10:17.790 ⇒ 00:10:18.750 Robert Tseng: That’s good to know.
75 00:10:18.750 ⇒ 00:10:21.260 Amber Lin: I also asked…
76 00:10:21.530 ⇒ 00:10:30.040 Amber Lin: Tigran a while ago, I got a… well, I got their org chart from HR, I think that could help Henry if he… he’s gonna be…
77 00:10:30.200 ⇒ 00:10:35.979 Amber Lin: talking to people here and people there, like, that might be helpful. I can send it to him if he needs it.
78 00:10:36.640 ⇒ 00:10:37.300 Robert Tseng: Okay.
79 00:10:38.060 ⇒ 00:10:44.690 Robert Tseng: I’m also, like, wary about not wanting them to go directly to Henry, like, I… yeah, so, ….
80 00:10:44.690 ⇒ 00:10:45.230 Amber Lin: See ya.
81 00:10:46.070 ⇒ 00:10:48.320 Amber Lin: Yeah, I kind of feel like at least it’s kind of….
82 00:10:48.320 ⇒ 00:10:49.760 Robert Tseng: contained, yeah.
83 00:10:50.620 ⇒ 00:10:51.330 Robert Tseng: For now.
84 00:10:52.030 ⇒ 00:10:52.720 Amber Lin: Yep, that’s.
85 00:10:52.720 ⇒ 00:10:53.820 Robert Tseng: Okay, so that’s….
86 00:10:53.820 ⇒ 00:11:05.209 Amber Lin: good in terms of work, because I think we are pretty good in terms of hours after we did the grooming, there’s not that much left, so I think this week should be settled, unless things pop up today and tomorrow.
87 00:11:06.840 ⇒ 00:11:11.900 Robert Tseng: Even if they do, we’re off. Everyone will take off Monday, like, we’re not doing anything on Monday.
88 00:11:12.280 ⇒ 00:11:12.920 Amber Lin: Okay.
89 00:11:12.920 ⇒ 00:11:14.540 Robert Tseng: Yeah. Okay.
90 00:11:14.650 ⇒ 00:11:21.370 Robert Tseng: Yeah. Oh, Labor Day thing, thankfully. I mean, I timed my trip so that we would have some buffer, but …
91 00:11:21.530 ⇒ 00:11:27.690 Robert Tseng: Okay, so that’s… that’s Eden. So, okay, that chapter, we will move on to the next chapter there.
92 00:11:27.930 ⇒ 00:11:31.260 Robert Tseng: … Yeah, and then…
93 00:11:32.420 ⇒ 00:11:45.500 Robert Tseng: let’s see… I mean, UTAM has candidates on the AI side. I mean, fine. I think we’re just… the AI stuff hasn’t… nothing… nothing’s closing on that side yet, so I don’t think there’s anything immediate there.
94 00:11:45.720 ⇒ 00:11:50.589 Robert Tseng: … Yeah, other… other clients, so…
95 00:11:51.110 ⇒ 00:12:05.170 Robert Tseng: Yeah, Insomnia, I know we’re wrapping some stuff off on the engineering side, Amber, on the Uber stuff, which is great. I think after that, we can call it. I already made the pitch. We have verbally confirmed, like, 3-month, 10K month extension.
96 00:12:05.260 ⇒ 00:12:15.220 Robert Tseng: Which is great. So, but yeah, I think I just want to make sure that things are signed, and so we will… I’ll probably go through next…
97 00:12:15.330 ⇒ 00:12:21.880 Robert Tseng: Next week, I might get… I might get something from their legal team, this week. I’m gonna just follow up on that.
98 00:12:22.470 ⇒ 00:12:23.190 Amber Lin: Okay.
99 00:12:23.190 ⇒ 00:12:25.459 Robert Tseng: But yeah, so that’s… that’s good news.
100 00:12:25.650 ⇒ 00:12:26.480 Robert Tseng: ….
101 00:12:26.480 ⇒ 00:12:29.400 Amber Lin: Is Lemo, by the way? How big is that contract?
102 00:12:29.690 ⇒ 00:12:33.850 Robert Tseng: That’s… that’s 10K a month for 2 months, so… another 20K, yeah.
103 00:12:34.580 ⇒ 00:12:40.330 Robert Tseng: Yeah, this is good. Our average contract size is, like, kind of moving up. It’s probably more like 10K at this point, so…
104 00:12:40.750 ⇒ 00:12:42.050 Robert Tseng: …
105 00:12:42.220 ⇒ 00:12:53.089 Robert Tseng: Yeah, there’s a couple other small ones. I mean, I guess Awash Hermetic, I don’t think is gonna work out. Like, I think those are kind of weird. We already… we set a couple other proposals we’re waiting to hear back from, …
106 00:12:53.890 ⇒ 00:12:59.769 Robert Tseng: I’m not really sure why… Hip should have already moved. What’s going on? Yep.
107 00:13:02.760 ⇒ 00:13:04.550 Robert Tseng: Is it because…
108 00:13:05.100 ⇒ 00:13:11.340 Robert Tseng: Sorry, I’m just trying to make sure… are we waiting on? Okay, okay, no. Yeah. We already sent over the…
109 00:13:11.790 ⇒ 00:13:24.329 Robert Tseng: contracts, and we’re good. Okay, yeah. So we, yeah, we did already clo… I mean, we, we sent the contract over, they should sign. So, HIP should start probably next week. They’re… they’re like a, health clinic based here in New York.
110 00:13:25.450 ⇒ 00:13:32.169 Robert Tseng: That one’s not… that’s, like, that’s a $2.50 an hour kind of contract, purely just senior level, like, consulting at this point.
111 00:13:32.370 ⇒ 00:13:33.460 Robert Tseng: …
112 00:13:33.610 ⇒ 00:13:40.870 Robert Tseng: And then… yeah, like, there… we sent a couple other proposals this week that we’re still waiting to hear back from, so…
113 00:13:41.000 ⇒ 00:13:52.310 Robert Tseng: yeah, I think pipeline-wise, like, we definitely have some new business coming in, which is good. Yeah, just on the AI side, we’re not… we’re not… we haven’t closed anything there, in this… this month, so…
114 00:13:52.370 ⇒ 00:14:06.689 Robert Tseng: Yeah, there are conversations in the work. We pitched HelloFresh, which is, like, one of… which my wife works at, so, yeah, like, we’re… I mean, I think that’s moving along. We… they want a second proposal from us, so…
115 00:14:06.790 ⇒ 00:14:10.020 Robert Tseng: Yeah, like, I hope that we’ll… we’ll get an AI client soon.
116 00:14:10.350 ⇒ 00:14:22.639 Robert Tseng: Yeah. So, okay, so that’s on the… I mean, I know you guys have your delivery meetings, but I’m just letting you know what’s, like, coming down the… the… the pipeline probably in the next… next couple weeks.
117 00:14:23.280 ⇒ 00:14:25.289 Robert Tseng: Yeah, so possible…
118 00:14:26.760 ⇒ 00:14:38.500 Robert Tseng: Yeah, possible Remo start, possible, hip start, possible, foam pro start, so that’s those three, extension on Insomnia, and…
119 00:14:38.610 ⇒ 00:14:43.690 Robert Tseng: Yeah, I think those are the four that we… we should expect for the next… going into September.
120 00:14:46.380 ⇒ 00:14:47.040 Amber Lin: Okay.
121 00:14:48.030 ⇒ 00:14:48.630 Robert Tseng: Cool.
122 00:14:49.450 ⇒ 00:14:50.170 Robert Tseng: ….
123 00:14:50.170 ⇒ 00:14:50.690 Amber Lin: Okay.
124 00:14:52.060 ⇒ 00:14:52.690 Robert Tseng: Yeah.
125 00:14:53.610 ⇒ 00:15:03.750 Robert Tseng: I… yeah, any… what about anything from you guys? Yeah, how… how can I… how can I be helpful with my remaining 15 minutes?
126 00:15:05.030 ⇒ 00:15:09.630 Awaish Kumar: I… don’t have anything specific, like, we already discussed Elian.
127 00:15:09.920 ⇒ 00:15:13.019 Awaish Kumar: And the kind of changes we are making there.
128 00:15:13.360 ⇒ 00:15:26.190 Awaish Kumar: I’ve already met with Annie, I prepared a doc, which basically… Yeah. …kind of summarizes what kind of work she’s been doing, and how much she’s… she was spending on Tableau versus Adoc, and …
129 00:15:26.610 ⇒ 00:15:29.870 Awaish Kumar: And then, kind of, what different…
130 00:15:30.180 ⇒ 00:15:38.249 Awaish Kumar: things she has been working on, and I’ll ask for some documents, which are going to help the next person… next person on board, like, quickly.
131 00:15:39.310 ⇒ 00:15:39.900 Robert Tseng: Okay.
132 00:15:41.150 ⇒ 00:15:47.870 Robert Tseng: Yeah, well, so the next person is just Henry and me, I guess, for now, so we’ll… yeah, we’ll, ….
133 00:15:48.140 ⇒ 00:15:52.609 Awaish Kumar: I’m not sure, like, how much he… he has worked with Tableau.
134 00:15:53.950 ⇒ 00:16:00.180 Robert Tseng: He says he can do it, so I… I kind of don’t really have another option.
135 00:16:00.310 ⇒ 00:16:05.929 Robert Tseng: Unless we pull Shreya in, but I don’t… I don’t want Shreya on… on Eden. Like, I… yeah.
136 00:16:05.930 ⇒ 00:16:11.280 Amber Lin: It’s the same period as Henry, it doesn’t mean we can just increase Henry’s hours. They… they’re….
137 00:16:11.280 ⇒ 00:16:12.730 Robert Tseng: Yeah, I would prefer to just…
138 00:16:12.830 ⇒ 00:16:15.779 Robert Tseng: I would prefer just increased headroom, of that.
139 00:16:16.070 ⇒ 00:16:16.790 Amber Lin: Okay.
140 00:16:16.790 ⇒ 00:16:21.310 Robert Tseng: Yeah, I’m not completely sold on Shreya yet, to be honest. Yeah.
141 00:16:22.560 ⇒ 00:16:25.340 Robert Tseng: See, I have her running, …
142 00:16:26.550 ⇒ 00:16:38.560 Robert Tseng: Ellie with, with Zoran. Zoran’s great. That’s why we’re replacing Andrew. We’re moving Zoran onto, Edith. He’s lower, and I think he’s… I think he’s been very, very good. Yeah, so….
143 00:16:38.560 ⇒ 00:16:49.409 Amber Lin: I want to add Zoran to my operating, allocations. How many hours should Zoran spend on Eden, and should I start including him in startups?
144 00:16:49.770 ⇒ 00:16:50.340 Amber Lin: stress.
145 00:16:50.340 ⇒ 00:16:51.220 Robert Tseng: …
146 00:16:52.150 ⇒ 00:17:06.860 Robert Tseng: Yeah, 5 hours… 5 hours a week to start. Henry will meet with him on Monday to kind of kick him off, and then after that… because he… he verbally said he’ll do it, but, like, I just want him to be sure, after Henry gives him his intro, that, like.
147 00:17:07.220 ⇒ 00:17:07.849 Amber Lin: Hmm.
148 00:17:09.440 ⇒ 00:17:16.890 Robert Tseng: yeah, that he’s, like, on… he’s on board. He’s open to it, but, like, I… I’ll, you know, you never know. People sometimes look at it, and they’re like, never mind, so….
149 00:17:16.890 ⇒ 00:17:21.289 Amber Lin: I see. Are they working on Monday? If Monday’s Labor Day?
150 00:17:23.779 ⇒ 00:17:42.979 Robert Tseng: Well, Zoran’s not American, so he… he will… he’s gonna keep working. I guess Henry’s not gonna meet with him on Monday, so I just… I just saw Henry’s message. He just told me he didn’t want to meet him on Monday, which is fair, I wasn’t gonna ask anybody dear to be on Monday. So, I… I guess, maybe Zoran maybe could earliest be looped in Wednesday. …
151 00:17:42.979 ⇒ 00:17:56.899 Robert Tseng: But yeah, as far as, like, the messaging goes with Eden, I mean, I’m gonna talk about the personnel change. Josh knows that we needed to just, like, take a couple days to regroup or whatever, so it’s okay that we can push things off a little bit. We have some wiggle room there.
152 00:17:57.649 ⇒ 00:17:58.689 Amber Lin: Okay. But yeah.
153 00:17:59.009 ⇒ 00:18:10.349 Robert Tseng: But anyway, I was saying about Shreya, yeah, Shreya’s only on one client right now. I want to increase her to two. Once Insomnia comes through, I’m gonna move her to Insomnia. Just so those are really the two that I want her to do.
154 00:18:10.559 ⇒ 00:18:14.249 Robert Tseng: But yeah, I would say… I’m….
155 00:18:15.069 ⇒ 00:18:16.529 Amber Lin: 80%.
156 00:18:16.529 ⇒ 00:18:20.269 Robert Tseng: confident with her on Ellie so far. So….
157 00:18:20.620 ⇒ 00:18:23.770 Robert Tseng: It’s not great. I want her… I want to be 100%, and… yeah.
158 00:18:23.770 ⇒ 00:18:25.860 Amber Lin: Nice. How much time is she putting?
159 00:18:26.510 ⇒ 00:18:35.330 Robert Tseng: Oh, I don’t know, but we’re gonna… we’re taking a loss on her for the first couple weeks. It’s just… that’s just how it is. We’re… I’m sure we’re not fully utilizing her. Just giving her some time to…
160 00:18:35.950 ⇒ 00:18:54.719 Robert Tseng: I gotta ramp up in discussions. I did see, away she and her made engineering… or you guys met for engineering leads? I mean, she’s on, like, 20 hours a week, or if that’s what you’re asking. So, I expect that she’s only doing 10 on Ellie right now. I don’t know what she’s doing with the other half for now. Maybe just… yeah, she’s just onboarding, so…
161 00:18:54.840 ⇒ 00:19:00.059 Robert Tseng: I don’t know what… what else you covered with you and the engineering leads, ways.
162 00:19:00.190 ⇒ 00:19:03.120 Awaish Kumar: Yeah, and I don’t see… like…
163 00:19:03.680 ⇒ 00:19:15.810 Awaish Kumar: like, according to Utam, she has this possibility to lead a product analytics team. So right now, she’s just working on LA, and, like, there’s nothing… much of a deliverable.
164 00:19:15.990 ⇒ 00:19:27.290 Awaish Kumar: There, but, like, one of the mods is that she prepares, like, while working on Ellie, prepares the best practices and things like that, and then
165 00:19:27.430 ⇒ 00:19:35.470 Awaish Kumar: Prosper that knowledge and lead the other team members which are going to come in the, like, product analytics side.
166 00:19:37.290 ⇒ 00:19:49.520 Robert Tseng: Yeah. Okay, so yeah, I think that’s… that’s fair. So I think the rest of her time should be, like, on internal stuff. Like, I want her… I want to actually see, like, some dots and… or, I mean, there’s a lot of resources scattered around, she just kind of has to…
167 00:19:49.780 ⇒ 00:19:57.560 Robert Tseng: basically have, like, a products… product analytics onboarding kind of, playbook that she needs to build out, so…
168 00:19:57.780 ⇒ 00:20:08.280 Robert Tseng: I will have Utam communicate that to her, that that… like, she basically has two clients, us and… and, …
169 00:20:08.860 ⇒ 00:20:13.170 Robert Tseng: And Ellie. Like, I need to see some deliverables from her with us as well, yeah.
170 00:20:13.440 ⇒ 00:20:14.120 Amber Lin: Okay.
171 00:20:14.120 ⇒ 00:20:17.109 Awaish Kumar: How much, like, she’s spending on Ellie?
172 00:20:18.040 ⇒ 00:20:24.390 Robert Tseng: I think she’s, like, 10 hours on Ellie, and then 10 on… the other 10 should be on us, yeah.
173 00:20:24.840 ⇒ 00:20:25.490 Amber Lin: Huh.
174 00:20:25.700 ⇒ 00:20:44.960 Amber Lin: Can I ask about the project management involvement on Ellie, since you’re already here, do you want any rituals? I know there’s a linear, I don’t see a project plan, I don’t see milestones, I don’t see tickets or estimates, so, like, if you want to track work and how much
175 00:20:45.300 ⇒ 00:20:59.170 Amber Lin: Shreya should be working based on the ticket size, like, I think we should give at least estimates to her tickets and have a little bit of a plan planned out, like, do you want me to meet with her to do that, or are you the right person to do that?
176 00:20:59.570 ⇒ 00:21:06.760 Robert Tseng: I mean, how… how is your, capacity, Amber? I guess we haven’t caught up in a couple weeks.
177 00:21:07.280 ⇒ 00:21:16.480 Amber Lin: I think the capacity is good. Eden is becoming a lot more manageable, so, I’m getting more time, because I have Eden…
178 00:21:16.500 ⇒ 00:21:32.459 Amber Lin: ABC Urban Stems Insomnia. Urban Stems is not a big load right now, because we’re in just purely development phase, so I have capacity, I’m working on some in… because recently I have a… my… I’m project managing, and I’m hiring, because I have… Yeah.
179 00:21:33.330 ⇒ 00:21:42.939 Amber Lin: But I think now it’s calming down, I want to set Ellie up, so, I had that time blocked off today, so I wanted to ask you what you wanted to do.
180 00:21:43.100 ⇒ 00:21:47.500 Robert Tseng: Yeah, I’m, I’m, I’m, I think you can, you can do that with, with her then.
181 00:21:48.200 ⇒ 00:21:53.290 Amber Lin: Okay. Yeah, anything… any other help you would need, like…
182 00:21:53.420 ⇒ 00:22:00.939 Amber Lin: analysis-wise, or, say, just company-wise that you need help with, I think I have a little bit of time.
183 00:22:01.990 ⇒ 00:22:03.520 Robert Tseng: Yeah, …
184 00:22:04.430 ⇒ 00:22:21.879 Robert Tseng: So, on the go-to-market side, obviously, we changed some stuff there, like, I don’t know how much you guys know, but Sid is not with us anymore. We started a new sales coordinator today. It’s kind of a mess there, but that’s where a lot of my time has been, because I feel like, that team has needed some more guidance, so…
185 00:22:22.350 ⇒ 00:22:22.775 Robert Tseng: Ayy
186 00:22:23.470 ⇒ 00:22:36.109 Robert Tseng: I still think, like, basically with my 2 or 3 hours a day while I’m out there, I’m only gonna be looking at Eden and the go-to-market team, is pretty much… and if I need to sign any contracts, like, that’s pretty much all I’m gonna be able to do while I’m out.
187 00:22:36.300 ⇒ 00:22:46.739 Robert Tseng: So I think that should be okay. Any other coverage on existing clients? Yeah, with Insomnia, some things might come up here and there. I might just, like, ping you if we need to, like.
188 00:22:46.740 ⇒ 00:22:47.400 Amber Lin: Okay.
189 00:22:47.920 ⇒ 00:22:49.010 Robert Tseng: Yeah.
190 00:22:49.120 ⇒ 00:22:53.779 Robert Tseng: They already have my deck, they’re reviewing the questions and everything. Oh.
191 00:22:54.700 ⇒ 00:22:56.860 Robert Tseng: Yeah, I might have to do this over…
192 00:22:58.210 ⇒ 00:23:05.329 Robert Tseng: I was supposed to go back with some edits based off the… on the deck, so I need to get that to them.
193 00:23:05.800 ⇒ 00:23:11.240 Robert Tseng: I’ll probably get it to them tomorrow, realistically. So… There’s that.
194 00:23:11.900 ⇒ 00:23:19.130 Robert Tseng: And, … Yeah, I think that’s… I think that’s fine. ….
195 00:23:22.760 ⇒ 00:23:34.559 Amber Lin: Do you need support on the go-to-market side? I have some context, like, if you need me to, say, if you’re offline after 2-3 hours, you have things you want to push along, I can help you look at that.
196 00:23:35.320 ⇒ 00:23:36.060 Robert Tseng: Oh, fuck.
197 00:23:37.050 ⇒ 00:23:44.780 Robert Tseng: I think the main thing is that… I have been, …
198 00:23:45.640 ⇒ 00:23:52.100 Robert Tseng: Oh yeah, there’s no… there’s no lead on the… on… on that… on that side, so… I mean, it is me, but, like.
199 00:23:52.310 ⇒ 00:23:59.509 Robert Tseng: Yeah, I… I consolidated the sales and marketing things, like, we’re not doing two separate meetings anymore, it’s just go-to-market.
200 00:23:59.960 ⇒ 00:24:03.719 Robert Tseng: … Yeah, the campaigns that we’re running, like.
201 00:24:03.840 ⇒ 00:24:09.879 Robert Tseng: they got stuck for a while, so I spent, like, an hour with them, kind of getting them unblocked on some things.
202 00:24:10.260 ⇒ 00:24:11.920 Robert Tseng: Like, …
203 00:24:12.920 ⇒ 00:24:17.219 Robert Tseng: I mean, I do think that Hannah runs the sprints, or, like, she runs their meetings, or, like.
204 00:24:17.770 ⇒ 00:24:21.520 Amber Lin: Rico runs marketing rituals.
205 00:24:22.090 ⇒ 00:24:24.110 Robert Tseng: Oh, Rico does? Okay, cool.
206 00:24:27.380 ⇒ 00:24:31.950 Robert Tseng: I don’t know what they need, they just gotta do… they just gotta do… they just gotta do the work, so….
207 00:24:32.610 ⇒ 00:24:33.350 Amber Lin: Hmm.
208 00:24:34.210 ⇒ 00:24:34.760 Robert Tseng: I don’t….
209 00:24:34.760 ⇒ 00:24:41.580 Amber Lin: So, I can… I can add some of that to the marketing rituals for this week, so that…
210 00:24:41.690 ⇒ 00:24:48.120 Amber Lin: Like, we keep track of her work and check… checks in with her. Is she half part-time, like, 20 hours per week?
211 00:24:48.120 ⇒ 00:25:06.809 Robert Tseng: Yeah, she’s part-time, and it’s kind of weird, because I only expect her to be around for 2 weeks. She’s just, like, this temporary solution until Justina comes in, because she’s way too expensive for this type of role. Like, it’s kind of insane that we signed her to that, but whatever.
212 00:25:06.830 ⇒ 00:25:08.210 Robert Tseng: I guess,
213 00:25:08.640 ⇒ 00:25:28.260 Robert Tseng: Yeah, so she… I think she’ll be out within 2 weeks. Like, I just need her to be effective on one campaign that keeps the lights on. Like, just… like, I kind of intro’d her to that today, so that’s the only thing I’m looking at from her. She needs to be adding 10 leads a day, to… to this… to the Mutual Intros playbook that I kind of built out, so…
214 00:25:30.570 ⇒ 00:25:37.600 Robert Tseng: Which, I think I will be following up with her every day, so… Okay. I don’t think there needs to be an additional…
215 00:25:38.030 ⇒ 00:25:38.820 Robert Tseng: Nudge there.
216 00:25:39.380 ⇒ 00:25:40.230 Amber Lin: Okay.
217 00:25:40.230 ⇒ 00:25:41.100 Robert Tseng: …
218 00:25:44.310 ⇒ 00:26:04.060 Robert Tseng: Well then, yeah, I guess, like, what could be helpful is, like, this whole… I don’t really have time to manage Freya in this pa- in this next week, so kind of making sure that she knows what she needs to do internally, like, if you need to… yeah, like, that data product analytics channel, I think you may be… maybe you’re not in it, I’m just gonna add you to it.
219 00:26:04.470 ⇒ 00:26:05.740 Robert Tseng: Okay. …
220 00:26:06.310 ⇒ 00:26:13.870 Robert Tseng: I know you’re not… you’re just kind of, like, making sure that this… this group is continuing to move forward with building out best practices.
221 00:26:14.030 ⇒ 00:26:15.150 Robert Tseng: …
222 00:26:15.760 ⇒ 00:26:22.600 Robert Tseng: Yeah, like, I… I want us to have, like, a clear playbook for the next product analytics client we signed.
223 00:26:22.850 ⇒ 00:26:29.130 Robert Tseng: we sign, which I think, you know, these are the most common clients that we get, so, …
224 00:26:29.410 ⇒ 00:26:38.090 Robert Tseng: yeah, like, I… she’s doing it for Ellie right now, based off of what I told… like, I more or less trained her to do. I just want her to…
225 00:26:38.280 ⇒ 00:26:41.360 Robert Tseng: You know, be able to make it so that there is, like.
226 00:26:41.510 ⇒ 00:26:57.619 Robert Tseng: clear client phases that we’re bringing them through, and product analytics. And Henry is working on something in parallel with default, so they kind of need to be working together to, to build these, build these things out.
227 00:26:58.170 ⇒ 00:27:00.600 Amber Lin: Gotcha, okay. Yeah.
228 00:27:02.690 ⇒ 00:27:04.920 Amber Lin: And I think we can start… I don’t know.
229 00:27:04.920 ⇒ 00:27:06.070 Awaish Kumar: Oh, who’s, who created that?
230 00:27:07.150 ⇒ 00:27:17.050 Awaish Kumar: She is kind of, right now, only kind of preparing a document, like, what events needs to be captured, or things like that, and who will be the…
231 00:27:17.280 ⇒ 00:27:21.449 Awaish Kumar: the one implementing it, right? The Shila itself, or Henry?
232 00:27:22.810 ⇒ 00:27:24.440 Robert Tseng: Oh, you mean for Allie?
233 00:27:24.910 ⇒ 00:27:26.160 Awaish Kumar: Yep.
234 00:27:26.160 ⇒ 00:27:27.869 Robert Tseng: They have their own engineers.
235 00:27:28.290 ⇒ 00:27:31.080 Robert Tseng: … Yeah.
236 00:27:32.330 ⇒ 00:27:42.280 Robert Tseng: So, yeah, we haven’t had to… we haven’t actually had to implement it for clients at this point, so they usually have an engineering resource on hand to do it.
237 00:27:43.020 ⇒ 00:27:43.610 Amber Lin: Hmm.
238 00:27:43.870 ⇒ 00:27:44.440 Robert Tseng: Yeah.
239 00:27:45.120 ⇒ 00:27:56.449 Amber Lin: Okay, Wish, do we already have a doc for product analytics? Do we have some… do we have some goals we want to accomplish, like KPIs that we want to accomplish with… with…
240 00:27:56.980 ⇒ 00:28:01.799 Amber Lin: Shreya’s work so we can measure it again, like, measure her work against it.
241 00:28:04.570 ⇒ 00:28:06.799 Amber Lin: I’m sorry, we know we want a playbook.
242 00:28:07.190 ⇒ 00:28:09.060 Amber Lin: Like…
243 00:28:09.530 ⇒ 00:28:14.400 Amber Lin: Is there anything else other than a playbook that we want from her? Do we want her to do.
244 00:28:14.400 ⇒ 00:28:15.490 Robert Tseng: Yeah, so it’s not….
245 00:28:15.510 ⇒ 00:28:16.330 Amber Lin: Folks.
246 00:28:16.330 ⇒ 00:28:24.939 Robert Tseng: Yeah, I guess I don’t even want to limit her to just product analytics, but, like, I kind of have broken out our services before, so maybe I’ll just kind of just take the last few minutes to walk through some stuff.
247 00:28:25.630 ⇒ 00:28:27.499 Awaish Kumar: For that, like, we need to hurry.
248 00:28:27.840 ⇒ 00:28:33.009 Awaish Kumar: help, right? So she has papered a plan, so we want her to create runbooks.
249 00:28:33.500 ⇒ 00:28:38.240 Awaish Kumar: For us, like, this is part of internal work we wanted to do.
250 00:28:38.240 ⇒ 00:28:38.840 Robert Tseng: Yeah.
251 00:28:41.980 ⇒ 00:28:53.479 Robert Tseng: I mean, we don’t really have something comparable for any of LITAR. I’m, like, looking, like, where would I even look? So… sales, homepage, external, internal.
252 00:28:53.480 ⇒ 00:28:54.009 Amber Lin: Thank you.
253 00:28:54.010 ⇒ 00:28:54.480 Robert Tseng: I have to make….
254 00:28:54.750 ⇒ 00:28:58.540 Amber Lin: Delivering playbooks!
255 00:28:59.040 ⇒ 00:29:04.050 Amber Lin: Or just, like, general… like, maybe under… It’s not.
256 00:29:04.050 ⇒ 00:29:04.880 Robert Tseng: I mean….
257 00:29:04.880 ⇒ 00:29:08.010 Amber Lin: Yeah, we can just make a product analytics page.
258 00:29:09.290 ⇒ 00:29:10.620 Amber Lin: We have to….
259 00:29:10.820 ⇒ 00:29:15.450 Robert Tseng: this is… I’m going back to Pungle, this is why. I had, like.
260 00:29:15.450 ⇒ 00:29:16.080 Amber Lin: Oh.
261 00:29:17.090 ⇒ 00:29:22.059 Robert Tseng: I mean, this… obviously, like, this was literally just me, so there’s not best mentioned here, but…
262 00:29:22.270 ⇒ 00:29:27.900 Robert Tseng: I’ve had stuff like… … Experimentation…
263 00:29:29.680 ⇒ 00:29:34.839 Robert Tseng: like, yeah, I built out some templates, like, this is how we would run A-B testing, like.
264 00:29:35.170 ⇒ 00:29:37.409 Amber Lin: Yeah, I read that one, it was really nice.
265 00:29:37.410 ⇒ 00:29:37.930 Robert Tseng: Okay.
266 00:29:39.190 ⇒ 00:29:39.630 Amber Lin: Okay.
267 00:29:39.630 ⇒ 00:29:41.069 Robert Tseng: Yeah, so…
268 00:29:41.700 ⇒ 00:29:51.769 Robert Tseng: I kind of was hoping… yeah, I mean, I had already built out some playbooks before. Like, I kind of want her to be able to kind of analyze our, like, our…
269 00:29:53.060 ⇒ 00:30:02.779 Robert Tseng: all of our analytics services, like, there’s a lot of different internal frameworks. I didn’t actually finish doing all of these, but as I was, like, encountering problems, like, I was starting docs on, like, all these different things.
270 00:30:03.030 ⇒ 00:30:03.420 Amber Lin: Okay.
271 00:30:03.560 ⇒ 00:30:08.259 Robert Tseng: And, … Yeah, like… Yeah, did that make fun for all.
272 00:30:08.260 ⇒ 00:30:19.519 Amber Lin: Can you give this to her to flesh out, so that she has a framework, and I have something to track her progress on? Because I don’t want to just get one playbook.
273 00:30:20.010 ⇒ 00:30:29.269 Amber Lin: Because I think there’s multiple different things that need different playbooks, and I kind of want to list that out to say, okay, these are the tasks you need to do.
274 00:30:30.050 ⇒ 00:30:30.880 Robert Tseng: I see.
275 00:30:32.000 ⇒ 00:30:35.570 Robert Tseng: Okay, I could start something…
276 00:30:36.080 ⇒ 00:30:43.370 Robert Tseng: I guess what I’m thinking now, that we’re talking about it, like, … So…
277 00:30:46.800 ⇒ 00:30:48.610 Robert Tseng: What is it called? I don’t.
278 00:30:50.280 ⇒ 00:30:54.920 Uttam Kumaran: Hey guys, sorry, I was just, meeting with someone in person.
279 00:30:55.170 ⇒ 00:30:56.069 Uttam Kumaran: been listening.
280 00:30:56.070 ⇒ 00:30:58.110 Robert Tseng: Oh… Good.
281 00:31:01.450 ⇒ 00:31:10.960 Robert Tseng: Yeah, I was thinking… like… She should start from, like.
282 00:31:13.020 ⇒ 00:31:16.760 Robert Tseng: Creating, like, the… a flow chart, almost, of, like.
283 00:31:18.620 ⇒ 00:31:29.069 Robert Tseng: how we go through analysis and, like, these different reflection points, like, customer problem to, like, what… you know, if the customer is asked… is…
284 00:31:29.660 ⇒ 00:31:36.349 Robert Tseng: you know, if it’s, like, mark… if it’s, like, some… some questions about, like, …
285 00:31:39.280 ⇒ 00:31:52.350 Robert Tseng: ad spend, or some more marketing analytics related, but, like, I guess I’m trying to just group it by domain, and then she’d be able to link each of these to different playbooks. I mean, this is a really big exercise, but, like, to me, this is just, like.
286 00:31:52.350 ⇒ 00:32:00.280 Robert Tseng: to build, like, a map of all of the analytics services that we would do or wouldn’t do kind of thing. So.
287 00:32:00.390 ⇒ 00:32:11.110 Robert Tseng: I think she has the luxury of just, like, sitting around with no billable time for half her time, so she should kind of… I don’t think she has to necessarily do this, like, full top-down, like, like.
288 00:32:11.230 ⇒ 00:32:25.170 Robert Tseng: thing, but, like, at least for the areas that she, you know, has really strong practice in, like, I don’t think she should overlap, necessarily. Like, I already have some of the stuff built out before, like, the way that I do metric diagnostics and stuff like that, but, like.
289 00:32:25.400 ⇒ 00:32:37.560 Robert Tseng: I want to see her be building stuff like… like this. I mean, this is… yeah, so I… I don’t… I don’t think we did… I haven’t done anything like this since… since I came to Brainforge, so….
290 00:32:38.090 ⇒ 00:32:38.450 Amber Lin: Okay.
291 00:32:38.450 ⇒ 00:32:47.340 Robert Tseng: But yeah, I think this would be helpful to see how she… thinks about… …
292 00:32:47.970 ⇒ 00:32:53.039 Robert Tseng: Offering different services or structuring, like, how we approach different problems, so….
293 00:32:53.350 ⇒ 00:32:53.770 Uttam Kumaran: For sure, yeah.
294 00:32:55.060 ⇒ 00:32:55.920 Robert Tseng: Yeah, that’s for sure.
295 00:32:56.250 ⇒ 00:33:06.810 Robert Tseng: Like, what are her internal deliverables to us? Because she’s only doing half her time on Ellie, and I can’t manage her this next week, because I will be… I’ll be out, so… well, can….
296 00:33:06.810 ⇒ 00:33:13.829 Uttam Kumaran: Yeah, so my question is also, like, I think this has to end up in, like, a review meeting as, like, an outcome.
297 00:33:14.020 ⇒ 00:33:26.040 Uttam Kumaran: like, I think one thing about writing documents is, like, I think me and you, Robert, do a good job at, like, we create this, and it’s, like, got everything, but other people, they have a blank page problem.
298 00:33:26.190 ⇒ 00:33:27.770 Uttam Kumaran: Where, like, if it just ends up
299 00:33:27.950 ⇒ 00:33:38.969 Uttam Kumaran: somewhere in a DB, and it’s like, is this right? So I think one is I would love her to basically present this to me and you, and, like, or, like, everybody on the delivery team.
300 00:33:39.290 ⇒ 00:33:40.160 Uttam Kumaran: …
301 00:33:40.470 ⇒ 00:33:52.210 Uttam Kumaran: Right, like, either that could be on a Monday meeting or something where she presents one or two of these, or she either presents the entire, like, flow, and then one or two of, like, a deep dive into a couple services, but…
302 00:33:52.590 ⇒ 00:33:56.169 Uttam Kumaran: I want to have, like, a deliverable that is, like, a meeting, …
303 00:33:56.880 ⇒ 00:33:58.429 Uttam Kumaran: You know, to give her feedback.
304 00:33:59.040 ⇒ 00:34:08.769 Robert Tseng: Yeah, I realized I wasn’t sharing my full screen, so this is what I was trying to say. But, … yeah, no, I agree. I don’t think this is just, like, we just read a bunch of docs kind of situation, but, like.
305 00:34:08.900 ⇒ 00:34:11.909 Robert Tseng: I kinda gotta… yeah, like, what…
306 00:34:13.010 ⇒ 00:34:32.140 Robert Tseng: she’s… yeah, she’s executing a playbook right now that I basically kind of told her to do, but yeah, maybe she makes… like, she’s already doing it slightly differently, like, how does she make it better? Like, how is this repeatable? Like, she has to be able to communicate… has to be able to execute it, but then also be able to communicate, like, how should this be done, kind of moving forward, so…
307 00:34:32.139 ⇒ 00:34:35.190 Robert Tseng: I don’t need her to do too many of these, but, like, for at least for the
308 00:34:35.239 ⇒ 00:34:48.409 Robert Tseng: what she’s doing already with Ellie, and then also, like, kind of, maybe there… she has something, like, another… like, what are her spikes? Like, I… I gotta know, like, what… what she… what we can really staff her on, like, what…
309 00:34:48.409 ⇒ 00:34:56.010 Robert Tseng: what exercise does she… does she feel very confident that she can do, and she has, like, a… like, a way to… to approach it? Like, I… I don’t…
310 00:34:56.090 ⇒ 00:34:58.449 Robert Tseng: I don’t really know yet at this point, so….
311 00:34:58.860 ⇒ 00:35:15.359 Amber Lin: I hear you, so I hear two things. So the first is to get her to list out all the areas and make a flow chart out of it. I think that wouldn’t… that would probably take max a day, and then within that practice, I want her to also list out what she’s good at, and then…
312 00:35:15.470 ⇒ 00:35:27.750 Amber Lin: that’s a checkpoint where we want a, like, a brief meeting to review, and then we’ll… after that, we want her to make playbooks for this… at least for the spikes that she has. Because if she doesn’t have it, there’s no point of having her.
313 00:35:28.030 ⇒ 00:35:30.169 Uttam Kumaran: Consult for us.
314 00:35:31.370 ⇒ 00:35:32.280 Robert Tseng: Yes.
315 00:35:32.520 ⇒ 00:35:33.630 Uttam Kumaran: Yeah, okay.
316 00:35:33.830 ⇒ 00:35:35.350 Amber Lin: And then I’ll….
317 00:35:35.350 ⇒ 00:35:47.759 Uttam Kumaran: Ideally, I think it would be great to… one, also, this is something that I think we can quickly take and reproduce across our other services as well. So, I don’t want to put too much pressure to, like, get this right the first time, but…
318 00:35:48.140 ⇒ 00:35:52.400 Uttam Kumaran: Think of this process as something that we’re gonna start to adopt.
319 00:35:52.630 ⇒ 00:35:54.200 Uttam Kumaran: Cross. Yeah.
320 00:35:55.630 ⇒ 00:36:00.490 Uttam Kumaran: a couple of the different subservices within AI.
321 00:36:01.300 ⇒ 00:36:02.880 Uttam Kumaran: Certainly across.
322 00:36:02.880 ⇒ 00:36:03.560 Amber Lin: I love your voice.
323 00:36:03.560 ⇒ 00:36:09.749 Uttam Kumaran: IT modeling, data warehouse… like, general BI.
324 00:36:11.550 ⇒ 00:36:17.739 Amber Lin: We also already have some sort of services listed out, right? Maybe, like…
325 00:36:17.870 ⇒ 00:36:22.010 Amber Lin: A few per… we can divide the work up once we have
326 00:36:22.740 ⇒ 00:36:27.919 Amber Lin: the different services listed out, like, maybe we can do one playbook a week?
327 00:36:29.170 ⇒ 00:36:34.209 Uttam Kumaran: Yeah, I mean, I… but this is something that… this is something that I want the engineering leads to start to own.
328 00:36:34.560 ⇒ 00:36:40.800 Uttam Kumaran: … So, that’s… like, I think this is something that, …
329 00:36:40.920 ⇒ 00:36:51.150 Uttam Kumaran: Right now, we have Sam, we have Awash, we have Treya, so each of those folks can start to build these, or they can work with their team to sign it out to build these. But…
330 00:36:51.540 ⇒ 00:37:06.670 Uttam Kumaran: I think product analytics is a great place to start, but we will want similar things across each of our service lines. I’m happy to provide you with what those are. But roughly, I think in the entire data service line, this is just concerning product analytics.
331 00:37:07.210 ⇒ 00:37:09.739 Amber Lin: Okay, do we have a playbooks template?
332 00:37:10.120 ⇒ 00:37:11.889 Amber Lin: Please, if you can, Hayes.
333 00:37:12.860 ⇒ 00:37:13.499 Amber Lin: That would be very.
334 00:37:13.500 ⇒ 00:37:15.639 Uttam Kumaran: So that’s probably something you can either…
335 00:37:16.230 ⇒ 00:37:21.950 Uttam Kumaran: Yeah, I’m happy if you want to… Take this transcript, and…
336 00:37:22.540 ⇒ 00:37:36.029 Uttam Kumaran: develop that, or what you could… what would be even better is you could show how you… how to do that to Shreya. Like, if you call her for 10 minutes, give her an example of, like, hey, this is the… this is the task, I want to work with you on creating this
337 00:37:36.490 ⇒ 00:37:39.959 Uttam Kumaran: … This template first, and then…
338 00:37:40.210 ⇒ 00:37:45.789 Uttam Kumaran: you can walk her through how to do that with AI. Those are things where, like, I just think some people don’t use AI like we do.
339 00:37:46.070 ⇒ 00:37:50.920 Uttam Kumaran: Because, like, my natural instinct is to take this call and put the…
340 00:37:51.260 ⇒ 00:37:55.759 Uttam Kumaran: shove it into AI and say, generate me, like, the assets we talked about.
341 00:37:56.120 ⇒ 00:38:15.510 Uttam Kumaran: But I don’t think many people do that. Like, if we gave this task to them, they’re just gonna, like, start from scratch, so I don’t want them to do that. Like, I don’t want them to get stuck in that mode. So instead, you could call her and say, like, hey, I want to call you to brief you on this. Additionally, I think as part of this call, I can walk you through how I would use AI,
342 00:38:15.610 ⇒ 00:38:19.469 Uttam Kumaran: To then generate this, start working on these templates.
343 00:38:19.930 ⇒ 00:38:20.950 Uttam Kumaran: Yeah.
344 00:38:20.950 ⇒ 00:38:24.620 Amber Lin: Robert already has pretty good docs to start with.
345 00:38:24.730 ⇒ 00:38:25.710 Uttam Kumaran: Like…
346 00:38:28.540 ⇒ 00:38:37.959 Uttam Kumaran: Yeah, 100%. So she should copy a lot of that into AI, but form her own opinion on what a template should look like.
347 00:38:38.440 ⇒ 00:38:47.560 Uttam Kumaran: put her… put herself into the spot of someone reviewing it and say, like, does this make sense? Does this have all the info?
348 00:38:47.710 ⇒ 00:38:53.280 Uttam Kumaran: But like, I don’t know, I don’t think this would take, like, very long, to be honest, but…
349 00:38:53.500 ⇒ 00:38:56.190 Uttam Kumaran: Whatever.
350 00:38:58.390 ⇒ 00:39:01.960 Uttam Kumaran: Yeah, I mean, I… I think it should… it could be a great…
351 00:39:02.240 ⇒ 00:39:06.540 Uttam Kumaran: Right? This is gonna end up with a great meeting where we review this.
352 00:39:08.470 ⇒ 00:39:13.650 Amber Lin: Okay. I’ll… cause I need to call her to make…
353 00:39:13.780 ⇒ 00:39:23.380 Amber Lin: tickets for Ellie anyways, I want to at least track her work. Awish, do you want to be on the call? I’ll schedule a call for tomorrow with her.
354 00:39:23.490 ⇒ 00:39:28.650 Amber Lin: Probably, like, 30 minutes… To 45 minutes tomorrow.
355 00:39:30.310 ⇒ 00:39:31.810 Awaish Kumar: I’m not sure to complain.
356 00:39:31.980 ⇒ 00:39:33.759 Awaish Kumar: If you need me there, I don’t know.
357 00:39:34.500 ⇒ 00:39:40.369 Amber Lin: Oh, okay. I mean, I can make a ticket, and then I can ask you afterwards to, …
358 00:39:40.960 ⇒ 00:39:46.129 Amber Lin: to assign… check the points. And I think for…
359 00:39:46.240 ⇒ 00:39:51.159 Amber Lin: The internal work, do you… do we already have anything, or just none at all?
360 00:39:52.130 ⇒ 00:39:53.940 Awaish Kumar: I don’t think so.
361 00:39:54.410 ⇒ 00:39:57.279 Amber Lin: Okay, that’s okay, I’ll grab time with her.
362 00:39:59.080 ⇒ 00:39:59.680 Amber Lin: Fantastic.
363 00:39:59.680 ⇒ 00:40:02.519 Uttam Kumaran: What is… what is the… what is that for?
364 00:40:02.800 ⇒ 00:40:03.990 Uttam Kumaran: The internal stuff?
365 00:40:05.980 ⇒ 00:40:09.250 Awaish Kumar: Yeah, creating these runbooks and stuff like that.
366 00:40:09.780 ⇒ 00:40:10.360 Amber Lin: Yes.
367 00:40:14.970 ⇒ 00:40:16.199 Uttam Kumaran: For… for which one?
368 00:40:18.080 ⇒ 00:40:30.520 Amber Lin: I want to get a meeting tomorrow with Shreya on two things. So, her time is divided by… on Ellie and internal stuff. On Ellie, I need a project management plan, or at least
369 00:40:30.520 ⇒ 00:40:43.350 Amber Lin: tickets, so I can estimate her level of effort on that client, so I can measure if she’s spending the right amount of time, and then on the internal stuff, to sync with her on what her tasks are.
370 00:40:43.960 ⇒ 00:40:44.660 Uttam Kumaran: And water.
371 00:40:46.520 ⇒ 00:40:47.570 Amber Lin: McGinnis.
372 00:40:48.110 ⇒ 00:40:56.540 Uttam Kumaran: Yeah, but the internal stuff is just what we just talked about, right? These, like, playbooks.
373 00:40:57.010 ⇒ 00:40:57.650 Amber Lin: Yeah.
374 00:41:05.070 ⇒ 00:41:06.300 Amber Lin: Oh.
375 00:41:06.990 ⇒ 00:41:08.709 Uttam Kumaran: Sorry, my Wi-Fi’s….
376 00:41:09.420 ⇒ 00:41:13.089 Amber Lin: Maybe try without video? It might be… it might be better.
377 00:41:26.930 ⇒ 00:41:27.920 Uttam Kumaran: How’s this?
378 00:41:29.380 ⇒ 00:41:30.590 Amber Lin: I think it’s better.
379 00:41:33.580 ⇒ 00:41:39.280 Uttam Kumaran: Yeah, I guess I just wanted to confirm, the internal stuff is just the… Playbook work, right?
380 00:41:40.370 ⇒ 00:41:41.380 Amber Lin: Yeah.
381 00:41:42.520 ⇒ 00:41:43.300 Uttam Kumaran: Okay.
382 00:41:44.300 ⇒ 00:41:45.030 Uttam Kumaran: Cool.
383 00:41:47.730 ⇒ 00:41:54.559 Amber Lin: Yeah, I’ll send her, … is there, like, I think there’s a channel that Robert added me in.
384 00:41:54.880 ⇒ 00:41:58.190 Amber Lin: Okay, I’ll send the requirements there.
385 00:41:58.560 ⇒ 00:42:02.120 Amber Lin: And then meet with her tomorrow.
386 00:42:03.160 ⇒ 00:42:06.670 Amber Lin: I’ll tag… and I’ll tag you guys when I send the message.
387 00:42:06.670 ⇒ 00:42:21.130 Uttam Kumaran: Yeah, you can use the… I don’t know, I think we have the delivery channel, which is sort of, like, PM, Engleads. We also have an Angelides channel, so I can talk about this in that meeting tomorrow, in case you need. But, like, yeah, I want to see that this is a process we pilot with her, and then we can…
388 00:42:21.270 ⇒ 00:42:24.469 Uttam Kumaran: Then go through and do this across all of our service lines.
389 00:42:24.490 ⇒ 00:42:29.000 Amber Lin: Because one of the bottlenecks right now is that I’m probably the only person that knows.
390 00:42:29.000 ⇒ 00:42:33.979 Uttam Kumaran: Everything we do across all of our services, like, what they are.
391 00:42:34.420 ⇒ 00:42:41.789 Uttam Kumaran: Instead, the service… the engineering lead on that service line should have awareness, so…
392 00:42:42.530 ⇒ 00:42:45.229 Uttam Kumaran: It sort of gets us… gets me out of that, too.
393 00:42:45.530 ⇒ 00:42:46.300 Amber Lin: What?
394 00:42:47.900 ⇒ 00:42:50.370 Uttam Kumaran: Because, for example, marketing asked me, like, what do we do?
395 00:42:50.600 ⇒ 00:42:55.499 Uttam Kumaran: We do a lot of things, you know, like, so I wanted to direct them to the engineer, basically.
396 00:42:55.620 ⇒ 00:42:56.620 Uttam Kumaran: To get more info.
397 00:42:56.620 ⇒ 00:42:57.200 Awaish Kumar: Bye-bye.
398 00:42:57.550 ⇒ 00:42:58.210 Amber Lin: Huh.
399 00:42:59.140 ⇒ 00:43:00.040 Amber Lin: I see.
400 00:43:02.290 ⇒ 00:43:02.910 Amber Lin: Okay.
401 00:43:02.910 ⇒ 00:43:06.749 Uttam Kumaran: I’m happy to stay on to talk about delivery OKRs if you want to do that.
402 00:43:07.660 ⇒ 00:43:17.569 Amber Lin: Sure, I am starting it a little bit… I think it could be done async, because I want to write it, and for you to type in some comments.
403 00:43:17.570 ⇒ 00:43:18.700 Uttam Kumaran: Okay.
404 00:43:18.950 ⇒ 00:43:23.200 Amber Lin: It’s not that ready yet, because I did not have time until now.
405 00:43:23.200 ⇒ 00:43:25.950 Uttam Kumaran: Okay, okay. That’s fine. Yeah. And then…
406 00:43:26.200 ⇒ 00:43:31.269 Uttam Kumaran: Yeah, I asked Sam to put in some, and then Awaish, like, I don’t know, we could think through some.
407 00:43:31.480 ⇒ 00:43:33.330 Uttam Kumaran: mentioned OKRs as well.
408 00:43:33.870 ⇒ 00:43:40.100 Uttam Kumaran: Like, if you can propose a couple there that I can give some feedback on, that would be great.
409 00:43:40.280 ⇒ 00:43:44.199 Uttam Kumaran: And then ideally, again, like, in our Engleads meeting.
410 00:43:44.770 ⇒ 00:43:50.399 Uttam Kumaran: the goal is, like, we would bring up the OKRs in the beginning of those to discuss.
411 00:43:50.650 ⇒ 00:44:00.910 Uttam Kumaran: In the delivery meeting, we would bring up the PM OKRs. In the finance meeting, the legal, we’d bring up the finance OKRs. Sales meeting, we’d bring up the sales OPRs, so…
412 00:44:01.010 ⇒ 00:44:05.310 Uttam Kumaran: I would like to knock that out, still look at a long time coming myself.
413 00:44:06.270 ⇒ 00:44:08.110 Awaish Kumar: Okay, sure, yeah, I was okay on that.
414 00:44:08.780 ⇒ 00:44:12.500 Awaish Kumar: I also, made some comments on,
415 00:44:12.990 ⇒ 00:44:16.919 Awaish Kumar: On that, that, like, monthly performance review, document.
416 00:44:17.470 ⇒ 00:44:18.120 Uttam Kumaran: Great.
417 00:44:18.510 ⇒ 00:44:19.510 Awaish Kumar: Okay.
418 00:44:22.790 ⇒ 00:44:28.310 Amber Lin: Question on next Monday’s delivery meeting… next Monday’s Labor Day.
419 00:44:28.460 ⇒ 00:44:32.910 Amber Lin: Do we still want to have… can we have it on Tuesday?
420 00:44:33.240 ⇒ 00:44:35.640 Uttam Kumaran: Yeah, we should move everything to Tuesday.
421 00:44:35.980 ⇒ 00:44:36.730 Amber Lin: Okay.
422 00:44:37.340 ⇒ 00:44:40.599 Amber Lin: I’m just trying to find a time… probably…
423 00:44:41.410 ⇒ 00:44:45.270 Amber Lin: Probably around the same time, or half an hour earlier on Tuesday.
424 00:44:45.800 ⇒ 00:44:47.989 Uttam Kumaran: Yeah, I would do that, …
425 00:44:48.510 ⇒ 00:44:52.029 Uttam Kumaran: Sure, we should ask Robert if he’s gonna… I don’t know if he’s gonna be on.
426 00:44:52.220 ⇒ 00:45:00.689 Amber Lin: Robert’s on vac… vacation, he’s on PTO, I don’t… I don’t know if he’ll be able to attend the meeting.
427 00:45:02.060 ⇒ 00:45:04.469 Uttam Kumaran: Oh, we’re… there’s really no client. Okay, so I’ll…
428 00:45:04.860 ⇒ 00:45:07.720 Uttam Kumaran: I should still be able to have ops meetings…
429 00:45:08.090 ⇒ 00:45:12.009 Uttam Kumaran: And then I should still be able to do… yeah, anyone… so US…
430 00:45:12.440 ⇒ 00:45:16.130 Uttam Kumaran: Like, we shouldn’t have any angel… we shouldn’t do angelides.
431 00:45:16.530 ⇒ 00:45:19.179 Uttam Kumaran: Okay, I’ll look at the schedule, I totally forgot.
432 00:45:19.180 ⇒ 00:45:24.600 Amber Lin: Okay, yeah, let me know. My Tuesdays are usually pretty open, so I just… I can move anything there.
433 00:45:25.250 ⇒ 00:45:25.840 Uttam Kumaran: Okay.
434 00:45:26.200 ⇒ 00:45:30.340 Amber Lin: Yeah. One last thing, I forgot to ask you, Veh, for the, …
435 00:45:30.490 ⇒ 00:45:38.360 Amber Lin: For the interview case study. Are you… if you’re meeting her on Tuesday, are you interviewing her, or is Drake gonna interview her?
436 00:45:38.360 ⇒ 00:45:39.640 Uttam Kumaran: Jake’s an interviewer.
437 00:45:39.930 ⇒ 00:45:41.789 Uttam Kumaran: I can ask her on Tuesday.
438 00:45:42.350 ⇒ 00:45:45.550 Amber Lin: Okay, that will be… that will be great if we ask in person.
439 00:45:46.790 ⇒ 00:45:47.390 Awaish Kumar: Finally.
440 00:45:47.390 ⇒ 00:45:47.710 Uttam Kumaran: Okay.
441 00:45:47.710 ⇒ 00:45:52.779 Amber Lin: Right there. Or I can send an email, and then you guys can confirm. Let me do that. I’ll send an email.
442 00:45:55.010 ⇒ 00:46:08.420 Awaish Kumar: Like, I’m for, like, … data analyst on Eden. Are we considering Andre? Like, like, … Now, or, like….
443 00:46:08.420 ⇒ 00:46:11.719 Uttam Kumaran: We are, but this… but I guess my… my…
444 00:46:11.860 ⇒ 00:46:19.129 Uttam Kumaran: My question was, I need to know how much Tableau, Yeah, I created this….
445 00:46:19.430 ⇒ 00:46:24.399 Awaish Kumar: I created the Notion doc, and I’ve shared in the manager’s channel.
446 00:46:24.690 ⇒ 00:46:34.739 Awaish Kumar: it has the information on, like, Annie’s work tickets, and how… what is the split between Tableau versus Ad Hoc, and …
447 00:46:35.210 ⇒ 00:46:45.639 Awaish Kumar: Also, there’s a little bit of communication I had with her, what kind of work she’s been doing and what work streams. Also, I’ve asked her to create two different documents.
448 00:46:45.930 ⇒ 00:46:54.489 Awaish Kumar: One is, like, kind of, SOP, to build the dashboard. How she, like, it’s kind of runbook.
449 00:46:54.620 ⇒ 00:46:57.459 Awaish Kumar: If, whenever she get a request from a client.
450 00:46:57.710 ⇒ 00:47:01.169 Awaish Kumar: And then how she converts that to technical…
451 00:47:01.300 ⇒ 00:47:10.969 Awaish Kumar: requirements, and then, like, splitting between dashboarding and modeling requirements, and then finally building a dashboard. So she will create a kind of
452 00:47:11.630 ⇒ 00:47:18.169 Awaish Kumar: a document for that, so that will be your… First one, Bogan in the… Data and MSI.
453 00:47:19.930 ⇒ 00:47:20.530 Uttam Kumaran: Okay.
454 00:47:21.220 ⇒ 00:47:25.209 Awaish Kumar: And secondly, the second one is just information about Aiden.
455 00:47:25.540 ⇒ 00:47:27.920 Awaish Kumar: As a business contact supporter.
456 00:47:30.030 ⇒ 00:47:34.650 Uttam Kumaran: Okay. Yeah, I haven’t looked at those, so I will… look at….
457 00:47:34.650 ⇒ 00:47:35.810 Awaish Kumar: So, so, like….
458 00:47:35.810 ⇒ 00:47:37.079 Uttam Kumaran: Right after this.
459 00:47:37.830 ⇒ 00:47:43.150 Awaish Kumar: Like, on the top is just, like, 20… like, from the ticket, I see it’s 25 hours.
460 00:47:43.390 ⇒ 00:47:47.030 Awaish Kumar: 20 to 25 hours, … per week.
461 00:47:47.660 ⇒ 00:47:49.899 Awaish Kumar: of, W plus Adult.
462 00:47:49.900 ⇒ 00:47:52.250 Uttam Kumaran: Yeah, I guess, like, is it, is it, like, 10…
463 00:47:52.870 ⇒ 00:47:58.719 Uttam Kumaran: Yeah, so I guess I just want to know, like, what are the… how much of it is basic Tableau changes? Like, half of it?
464 00:47:58.720 ⇒ 00:48:04.149 Awaish Kumar: Yeah, Pablo is 20, and… and 5 is adult.
465 00:48:04.550 ⇒ 00:48:05.540 Awaish Kumar: 5 hours.
466 00:48:05.540 ⇒ 00:48:06.940 Uttam Kumaran: Oh, really? Okay.
467 00:48:06.940 ⇒ 00:48:07.610 Awaish Kumar: No.
468 00:48:07.610 ⇒ 00:48:13.590 Amber Lin: Yeah. She’s been asked by multiple main stakeholders to go, can you build this dashboard for me?
469 00:48:13.780 ⇒ 00:48:16.789 Amber Lin: So, I think their C-level is asking her to build.
470 00:48:16.790 ⇒ 00:48:18.109 Uttam Kumaran: Oh, great.
471 00:48:18.750 ⇒ 00:48:20.280 Amber Lin: That’s where her talk.
472 00:48:20.280 ⇒ 00:48:22.129 Uttam Kumaran: That’s nice, okay, alright, cool.
473 00:48:25.040 ⇒ 00:48:32.549 Uttam Kumaran: Let me try to get you this… let me try to get you Andre, and then you can try him out and see what we think, and then I’ll keep looking for…
474 00:48:33.320 ⇒ 00:48:39.020 Uttam Kumaran: I mean, I thought it was going to be a lot of analysis work, but if she’s not doing any analysis work, then yeah.
475 00:48:40.050 ⇒ 00:48:49.930 Awaish Kumar: Yeah, and also, like, before we joined, like, Robert was saying, like, Henry has told Robert that he can do…
476 00:48:50.190 ⇒ 00:48:55.310 Awaish Kumar: Tableau work, so I’m not sure… If we want to try.
477 00:48:55.310 ⇒ 00:48:59.290 Uttam Kumaran: Yeah, I mean, I don’t mind… I don’t mind if… if he figures it out, but…
478 00:48:59.500 ⇒ 00:49:17.770 Uttam Kumaran: We need to have backup plans around here. So that’s… that’s my main concern, is like, a lot of people say they can do a lot of things, they never end up doing it, so I… I would love for Henry to figure it out, but I want to have… I want to give you guys on the project someone who’s actually can do the Tableau work, otherwise you’ll get screwed again.
479 00:49:19.690 ⇒ 00:49:20.120 Awaish Kumar: Okay.
480 00:49:20.120 ⇒ 00:49:25.630 Uttam Kumaran: So let me… let me… let me close on Andre. I’m gonna keep… I’m gonna keep looking for more people.
481 00:49:26.110 ⇒ 00:49:27.450 Uttam Kumaran: per Tableau.
482 00:49:29.700 ⇒ 00:49:30.510 Awaish Kumar: Okay.
483 00:49:34.750 ⇒ 00:49:38.040 Amber Lin: Okay, do we settle on Ryan? Is he good?
484 00:49:38.380 ⇒ 00:49:39.480 Amber Lin: He’s back.
485 00:49:42.020 ⇒ 00:49:44.840 Uttam Kumaran: On who? Oh, with Ryan, yeah, yeah, yeah, he’s back, he’s back.
486 00:49:44.840 ⇒ 00:49:45.660 Amber Lin: Okay.
487 00:49:45.660 ⇒ 00:49:46.749 Uttam Kumaran: That’s right. ….
488 00:49:47.550 ⇒ 00:49:57.700 Amber Lin: And I’m gonna send the email to Yvette so she has some context. Do we really need an hour, or is it more like 30, 45 minutes? An hour is a big chunk to ask for.
489 00:50:00.520 ⇒ 00:50:02.120 Amber Lin: for the interview.
490 00:50:02.410 ⇒ 00:50:02.940 Amber Lin: Yeah.
491 00:50:05.930 ⇒ 00:50:14.580 Uttam Kumaran: That’s what… whatever Jake is asking for. I would just talk to Jake. If you can think an hour’s too much, then tell Jake, I think an hour’s too much. Ask him what he thinks.
492 00:50:15.000 ⇒ 00:50:15.479 Amber Lin: Yeah, okay.
493 00:50:15.480 ⇒ 00:50:21.080 Uttam Kumaran: Because I don’t want him to be like, we didn’t get an hour, and so we didn’t give him what he needed, blah blah blah, like that.
494 00:50:22.000 ⇒ 00:50:23.720 Amber Lin: Okay, I’ll work on that.
495 00:50:26.700 ⇒ 00:50:28.310 Amber Lin: Yeah, that’s all I wanted to.
496 00:50:31.510 ⇒ 00:50:38.280 Uttam Kumaran: I think, you guys see my message about Joseph Good? I think, Amber, you talked to him. I honestly think he could come in as, like.
497 00:50:38.890 ⇒ 00:50:43.090 Uttam Kumaran: Sort of like a junior solutions architect for AI stuff.
498 00:50:46.400 ⇒ 00:50:48.330 Amber Lin: Sorry, which one was this again?
499 00:50:49.910 ⇒ 00:50:50.680 Uttam Kumaran: So good.
500 00:50:50.680 ⇒ 00:50:52.970 Amber Lin: It’s… I forgot which….
501 00:50:53.420 ⇒ 00:50:54.950 Uttam Kumaran: He was, like, in LA.
502 00:50:55.220 ⇒ 00:50:55.920 Uttam Kumaran: Let’s see.
503 00:50:57.360 ⇒ 00:50:59.590 Uttam Kumaran: You probably… you talked to him probably, like, a month ago.
504 00:51:00.310 ⇒ 00:51:01.840 Amber Lin: Oh….
505 00:51:02.960 ⇒ 00:51:04.460 Awaish Kumar: So, what you’re saying?
506 00:51:04.760 ⇒ 00:51:05.969 Awaish Kumar: Like, the role of.
507 00:51:05.970 ⇒ 00:51:12.740 Uttam Kumaran: He… his background right now is sort of like a startup… his background right now is like a… he’s like a startup go-to-market engineer.
508 00:51:12.970 ⇒ 00:51:18.499 Uttam Kumaran: So, he’s built a lot of, like, clay, like, basic N8N stuff, but more importantly, like.
509 00:51:18.820 ⇒ 00:51:22.239 Uttam Kumaran: Has worked with businesses to, like, build automations.
510 00:51:22.570 ⇒ 00:51:25.000 Uttam Kumaran: He is interested in getting more technical.
511 00:51:25.150 ⇒ 00:51:30.950 Uttam Kumaran: But I think he could fit in as, like, kind of like a solutions architect on the AI side.
512 00:51:31.460 ⇒ 00:51:46.349 Uttam Kumaran: you know, I like… Sam’s job right now is more on, like, the actual technical side, and he’s actually gonna take on work and improve Casey and Mustafa, but he’s still on the technical side. Like, I don’t see him coming on as, like.
513 00:51:47.020 ⇒ 00:51:49.900 Uttam Kumaran: A full, like, solutions architect.
514 00:51:50.430 ⇒ 00:51:57.900 Uttam Kumaran: for example, like, when we go into… when we go into company, like, defaults, and I hear their problems, and I’m like, okay, here are the tools and the steps we need.
515 00:51:58.430 ⇒ 00:52:02.709 Uttam Kumaran: that person is what we need, because that’s what I’m doing that right now.
516 00:52:04.330 ⇒ 00:52:05.000 Awaish Kumar: Okay.
517 00:52:07.380 ⇒ 00:52:11.009 Uttam Kumaran: So I’m… I’m not… I don’t think it’s gonna be this month, but…
518 00:52:11.730 ⇒ 00:52:13.489 Uttam Kumaran: Sort of considering him for that.
519 00:52:15.840 ⇒ 00:52:21.880 Uttam Kumaran: it kind of… I think it really depends, Awash, on, like, what we all agree on our, like, leveling guide.
520 00:52:22.600 ⇒ 00:52:25.310 Uttam Kumaran: … You know, so….
521 00:52:27.840 ⇒ 00:52:28.800 Awaish Kumar: Yeah.
522 00:52:28.940 ⇒ 00:52:29.920 Uttam Kumaran: Okay.
523 00:52:34.210 ⇒ 00:52:35.040 Uttam Kumaran: Okay.
524 00:52:36.500 ⇒ 00:52:43.390 Awaish Kumar: So, like, so that, like, basically the, kind of, the person in the discovery calls, and with the client, and….
525 00:52:43.390 ⇒ 00:52:44.030 Uttam Kumaran: Yeah.
526 00:52:44.280 ⇒ 00:52:46.030 Awaish Kumar: Interesting, yeah.
527 00:52:46.260 ⇒ 00:52:46.960 Uttam Kumaran: Yeah.
528 00:52:52.870 ⇒ 00:53:00.619 Uttam Kumaran: I mean, you’re doing a lot of that. I’m doing a lot. I’m doing that for both Urban Stems and Default and Interlude.
529 00:53:01.280 ⇒ 00:53:02.620 Uttam Kumaran: …
530 00:53:04.190 ⇒ 00:53:11.520 Uttam Kumaran: It’s sort of someone that understands the business context and can really narrate the requirements. But, like, they don’t need to project manage.
531 00:53:11.660 ⇒ 00:53:14.160 Uttam Kumaran: They pair with the project manager to get it executed.
532 00:53:17.930 ⇒ 00:53:20.129 Uttam Kumaran: I mean, ideally they could progeny, but…
533 00:53:29.740 ⇒ 00:53:30.530 Uttam Kumaran: Okay.
534 00:53:31.230 ⇒ 00:53:31.790 Amber Lin: Okay. Alright.
535 00:53:31.790 ⇒ 00:53:32.640 Uttam Kumaran: I’m gonna jump in.
536 00:53:33.340 ⇒ 00:53:34.440 Amber Lin: Alright, thank you.
537 00:53:34.440 ⇒ 00:53:35.790 Uttam Kumaran: Okay. Thank you, guys.
538 00:53:36.270 ⇒ 00:53:37.180 Awaish Kumar: Right.