Meeting Title: Weekly Managers Meeting Date: 2025-05-13 Meeting participants: Uttam Kumaran, Amber Lin, Hannah Wang, Robert Tseng, Awaish Kumar
WEBVTT
1 00:00:05.700 ⇒ 00:00:06.670 Awaish Kumar: Hello!
2 00:00:13.880 ⇒ 00:00:15.260 Amber Lin: Hi.
3 00:00:18.050 ⇒ 00:00:18.800 Awaish Kumar: Hi.
4 00:00:19.920 ⇒ 00:00:24.570 Amber Lin: Oh! Waiting for boot time to join.
5 00:00:25.070 ⇒ 00:00:25.839 Awaish Kumar: That’s true.
6 00:00:25.980 ⇒ 00:00:27.080 Awaish Kumar: Okay.
7 00:02:10.259 ⇒ 00:02:11.339 Amber Lin: Hi!
8 00:02:12.349 ⇒ 00:02:14.679 Amber Lin: Hi! Hannah! Waiting for your Tom!
9 00:02:15.620 ⇒ 00:02:17.080 Hannah Wang: Hello. Okay.
10 00:02:18.400 ⇒ 00:02:24.397 Amber Lin: Yeah. Let’s where. Wait 3 more minutes. If he doesn’t come, we can just get started.
11 00:02:25.910 ⇒ 00:02:26.800 Hannah Wang: Sounds good.
12 00:03:29.110 ⇒ 00:03:30.050 Amber Lin: Hello!
13 00:03:35.980 ⇒ 00:03:37.859 Amber Lin: He’s still connecting to.
14 00:03:42.510 ⇒ 00:03:43.290 Amber Lin: Hmm.
15 00:03:45.530 ⇒ 00:03:51.200 Amber Lin: Oh, well, okay, let me find our agenda, and then let’s just get started.
16 00:03:51.970 ⇒ 00:03:57.719 Amber Lin: Can someone text Udam that he’s that he’s not in the audio chat.
17 00:03:59.530 ⇒ 00:04:00.560 Hannah Wang: How about?
18 00:04:00.970 ⇒ 00:04:02.959 Hannah Wang: I just messaged the zoom.
19 00:04:09.170 ⇒ 00:04:10.200 Hannah Wang: There we go!
20 00:04:16.209 ⇒ 00:04:22.879 Amber Lin: Alrighty I’m saying, I sent the agenda in our group chat. So
21 00:04:23.259 ⇒ 00:04:27.019 Amber Lin: right now we have a quick round table on different projects.
22 00:04:27.903 ⇒ 00:04:29.269 Amber Lin: We have
23 00:04:29.389 ⇒ 00:04:50.919 Amber Lin: that we listed the certification plan for the teams, the we want to have a decision on the intern cohorts, and we also want to set the one-on-one schedules, and also I kind of want to talk about what I found for the client delivery engine as we talked about last Friday.
24 00:04:53.810 ⇒ 00:04:59.069 Uttam Kumaran: Hey, guys, I’m here. Yeah, let’s let’s go. We start with what whichever one we want to go through.
25 00:05:03.090 ⇒ 00:05:08.020 Amber Lin: Okay, let’s do let’s start with a roundtable let’s talk about how each of the
26 00:05:08.130 ⇒ 00:05:16.029 Amber Lin: quickly each, how each team is doing? And then what we want.
27 00:05:16.180 ⇒ 00:05:21.930 Amber Lin: Let’s just let’s just go through it. Okay.
28 00:05:22.390 ⇒ 00:05:26.560 Amber Lin: right? I’ll name 2 people. Hannah, how is it going for you?
29 00:05:28.504 ⇒ 00:05:34.599 Hannah Wang: This is my 1st time here. So I don’t know if there’s like a specific type of answer that everyone
30 00:05:34.790 ⇒ 00:05:36.479 Hannah Wang: or an update that everyone gives.
31 00:05:36.480 ⇒ 00:05:38.570 Amber Lin: It’s it’s okay. It’s just like, what’s the health.
32 00:05:38.570 ⇒ 00:05:41.404 Uttam Kumaran: I think. Good, bad, yeah, good, bad
33 00:05:42.040 ⇒ 00:05:48.360 Uttam Kumaran: And then either good, bad, ugly, or good, bad, and selling something.
34 00:05:51.940 ⇒ 00:05:58.399 Hannah Wang: Marketing. Wise I feel like dead is the promotion stuff. There’s a lot
35 00:05:58.980 ⇒ 00:06:01.950 Hannah Wang: kind of lined up for the next couple of weeks.
36 00:06:02.655 ⇒ 00:06:10.539 Hannah Wang: But I feel like, maybe that’s also kind of not bad, but hard. I think it’s just like a lot to
37 00:06:11.320 ⇒ 00:06:13.120 Hannah Wang: juggle. And I feel like
38 00:06:13.700 ⇒ 00:06:24.669 Hannah Wang: I mean, it’s our 1st time doing a bunch of these promotions all at once. So I feel like we don’t have the scaffolding set up for, like everything. So I feel like we’re kind of building everything from the ground up.
39 00:06:24.830 ⇒ 00:06:29.899 Hannah Wang: cause we’ve had like webinars and events before. But we didn’t have like interviews, and all these other
40 00:06:30.620 ⇒ 00:06:37.690 Hannah Wang: types of promotions that we have. So yeah, I think it’s just, I guess.
41 00:06:37.920 ⇒ 00:06:45.699 Hannah Wang: because I’m trying to oversee everything. It’s just a lot of like making sure that things are kinda done. So I think that’s like been kinda
42 00:06:47.270 ⇒ 00:06:51.639 Hannah Wang: challenging in a way. Just like ramping up to all of this
43 00:06:53.250 ⇒ 00:06:55.299 Hannah Wang: And then I guess.
44 00:06:57.490 ⇒ 00:07:04.719 Hannah Wang: yeah, kind of what we discussed last Friday about how marketing can align with sales. I think that’s still like
45 00:07:05.110 ⇒ 00:07:14.519 Hannah Wang: kind of up in the air. But I know Utam, you’re connecting with Luke. Who can potentially come on and kind of help with that. So I guess that’s good.
46 00:07:16.380 ⇒ 00:07:20.727 Hannah Wang: But yeah, overall. I feel like there’s a lot of moving pieces.
47 00:07:21.920 ⇒ 00:07:29.099 Hannah Wang: well, I’m sure you guys are used. You guys are probably used to a lot of moving pieces, but I think the marketing team has been pretty
48 00:07:30.570 ⇒ 00:07:35.760 Hannah Wang: like picking up. We’ve been picking up a lot of things, and there’s a lot
49 00:07:36.320 ⇒ 00:07:43.098 Hannah Wang: going on. So I think, yeah, my brain is just trying to keep up. I don’t know if that was a good update. I don’t know.
50 00:07:43.350 ⇒ 00:07:59.510 Amber Lin: It is, it is really good. Is there anything we can support you with that? Because you said there is a lot of stuff going on like maybe we can help you with it. Take like help you like again. I can help you with how I go through all these random different teams, or can help you with that
51 00:07:59.670 ⇒ 00:08:03.160 Amber Lin: like, just how do you juggle these different stuff.
52 00:08:07.170 ⇒ 00:08:22.699 Hannah Wang: I I just write down everything that kind of comes up, and then I kind of put it to the side when I’m more heads down, and then I like go through each one afterwards, instead of like jumping from place to place, because I think it’s easy to lose track of what
53 00:08:22.960 ⇒ 00:08:30.819 Hannah Wang: you were originally working on. So I guess it’s just like my own project management. Then.
54 00:08:31.440 ⇒ 00:08:36.335 Hannah Wang: following up with things, making sure things don’t get
55 00:08:37.130 ⇒ 00:08:42.299 Hannah Wang: left behind, because I feel like the challenge is, people send a lot of messages. But then.
56 00:08:43.409 ⇒ 00:08:55.299 Hannah Wang: We all forget about it, because there’s so many messages. So I think the challenge is like making sure we don’t forget about certain things, or like following up with certain people or
57 00:08:56.219 ⇒ 00:09:02.209 Hannah Wang: forgetting to reply, I feel like that’s just a common challenge that people have.
58 00:09:03.130 ⇒ 00:09:12.110 Uttam Kumaran: Yeah, I can talk about my my sort of process. So this has been my life, you know. Basically, since I started, my career has been on slack, heavy.
59 00:09:12.430 ⇒ 00:09:17.490 Uttam Kumaran: and I’ve kind of like
60 00:09:17.630 ⇒ 00:09:23.900 Uttam Kumaran: done a couple of things. One I mute, I mute channels, and I mute threads pretty liberally.
61 00:09:25.690 ⇒ 00:09:29.670 Uttam Kumaran: Again, you you’ll have to figure out what’s what you can or can’t.
62 00:09:29.780 ⇒ 00:09:45.830 Uttam Kumaran: But I’m certainly not like paying attention to every single thing. Mainly because I know there is a structure that things will get escalated to me if if it needs my help, and you know part of the reason about having this crew is that I’m assuming more and more stuff goes through. Y’all. So
63 00:09:46.110 ⇒ 00:09:54.139 Uttam Kumaran: I I tend to mute channels that I’m not directly active in. I would recommend you do that. I think there is this a Fomo mentality that
64 00:09:54.290 ⇒ 00:09:56.220 Uttam Kumaran: each of us needs to sort of
65 00:09:56.460 ⇒ 00:10:05.240 Uttam Kumaran: just like try to wrangle with where it’s like if you, when you have a moment, go to those muted channels and and follow up on stuff.
66 00:10:05.380 ⇒ 00:10:13.170 Uttam Kumaran: but slack, you want to be in control of your notifications, so you don’t want to be triggered by them. Every single one that comes in you want to
67 00:10:13.480 ⇒ 00:10:20.889 Uttam Kumaran: sort of like lead that like you. So part of that is just like I don’t know. I I would mute pretty pretty regularly. Second
68 00:10:22.920 ⇒ 00:10:29.710 Uttam Kumaran: you know, I think. I don’t use, you know, linear a lot for my work. Really, when I look at my schedule.
69 00:10:30.060 ⇒ 00:10:35.020 Uttam Kumaran: I look at my threads because I get directly tagged. And then I look through my email.
70 00:10:35.425 ⇒ 00:10:44.520 Uttam Kumaran: and then I look at my calendar, you know, and because most of my days are running on like a 1 or 2 day sort of. I’m basically running like, almost like 2 or 3 day sprints.
71 00:10:44.800 ⇒ 00:10:49.260 Uttam Kumaran: So for me, that’s how I I manage my stuff. I think
72 00:10:49.910 ⇒ 00:10:59.499 Uttam Kumaran: very specifically, I think what’s really helpful is to set deadlines. So to set deadlines and also put put times in your calendar to execute on tasks.
73 00:10:59.810 ⇒ 00:11:05.859 Uttam Kumaran: I found that in my past when I use my calendar as a to do list that helps a lot as well.
74 00:11:06.469 ⇒ 00:11:11.220 Uttam Kumaran: I know hopefully not. Everyone here is in as many meetings as I have.
75 00:11:11.644 ⇒ 00:11:15.459 Uttam Kumaran: So I’m often doing work during meetings, or sort of in the time between. But
76 00:11:15.850 ⇒ 00:11:21.299 Uttam Kumaran: I I would I would say, if you’re finding it hard. If you’re the challenges you’re finding it hard to get worked on.
77 00:11:21.480 ⇒ 00:11:24.520 Uttam Kumaran: And certainly I I would think, like try to
78 00:11:25.307 ⇒ 00:11:37.220 Uttam Kumaran: find deep work time. If the challenge is more about like I’m get able to get work done. There’s just like more coming in. Then use linear use some barrier. And then the last thing I’ll just remind again, just like mute.
79 00:11:37.340 ⇒ 00:11:41.809 Uttam Kumaran: mute like, like, your productivity depends on it. Basically.
80 00:11:43.740 ⇒ 00:11:49.640 Hannah Wang: Yeah, I I have that Fomo thing, or it’s not like fear missing out. It’s more like fear that
81 00:11:49.820 ⇒ 00:11:56.500 Hannah Wang: I’m like tagged in something, and every something’s like I’m the blocker. So I just like, make sure I
82 00:11:56.700 ⇒ 00:11:58.760 Hannah Wang: I’m not the blocker, but I think.
83 00:11:58.760 ⇒ 00:11:59.870 Uttam Kumaran: Common feeling.
84 00:12:00.090 ⇒ 00:12:01.659 Hannah Wang: Yeah, I don’t.
85 00:12:01.660 ⇒ 00:12:09.720 Uttam Kumaran: I think I don’t think you’re alone in that. I think. I just think that
86 00:12:09.870 ⇒ 00:12:22.869 Uttam Kumaran: each of us needs to. I’m just be aware of that, you know, and and honestly, just be aware that, like what is more important to you, seeing everything or getting things out the door right
87 00:12:23.010 ⇒ 00:12:25.659 Uttam Kumaran: for me. I made that decision.
88 00:12:27.290 ⇒ 00:12:46.519 Uttam Kumaran: you know, in my like 2 companies ago that I realized that my productivity, my ability to get stuff I was taking hit from basically my time being sitting in slack. Now, my job is mostly just like communicating with people. So it’s a little bit of a different challenge for me. In fact, I spend most of my day in slack email or on zoom
89 00:12:47.980 ⇒ 00:12:51.480 Uttam Kumaran: which is my schedule. But I think
90 00:12:52.080 ⇒ 00:12:54.789 Uttam Kumaran: one rely on the fact that if you get tagged
91 00:12:54.990 ⇒ 00:13:19.637 Uttam Kumaran: it’ll it’ll pop up even with your music channel. So if people want to get to you, they’ll tag you right for me if I wanna if I have it. As a general thing, I’m just gonna send it out. If I have something that I want someone to take a look at. I tag them. The second thing is not. Everything needs to be immediate. If it’s immediate, don’t worry like I’ll call you, or someone will call you so. I would I would put. I would give yourself some barrier there.
92 00:13:20.030 ⇒ 00:13:29.049 Uttam Kumaran: it may feel like an infinite scroll machine, especially because we type we use slack heavily, like I’m sending messages like nonstop.
93 00:13:29.210 ⇒ 00:13:34.990 Uttam Kumaran: And it’s I’m not. My expectation is not that people respond. I just need it to be there.
94 00:13:35.436 ⇒ 00:13:45.049 Uttam Kumaran: So that at 1 point, when you go batch and look at things you can. The other last feedback is like, if you find it’s better to say, Hey, every 15 min, every hour I’m gonna look through slack
95 00:13:45.460 ⇒ 00:13:53.139 Uttam Kumaran: or you’re gonna look through email twice a day. Try those things. But I would say
96 00:13:53.240 ⇒ 00:14:01.240 Uttam Kumaran: you, you most likely will find yourself looping through slack. Very often it happens that the app is built to be addictive in that way.
97 00:14:02.520 ⇒ 00:14:07.229 Uttam Kumaran: Try to set your notification so that you have control versus it, controlling you.
98 00:14:07.896 ⇒ 00:14:11.450 Uttam Kumaran: And especially turn if you’re getting email notifications. Or if you’re getting
99 00:14:11.972 ⇒ 00:14:16.819 Uttam Kumaran: mobile notifications. Or if you’re getting computer notifications, turn all that stuff off.
100 00:14:16.940 ⇒ 00:14:22.299 Uttam Kumaran: All 4 of us know that when we log into slack we see everything, so I don’t think you need the extra layer of like
101 00:14:22.440 ⇒ 00:14:25.120 Uttam Kumaran: it. Pinging your phone and stuff, I turn all those.
102 00:14:25.570 ⇒ 00:14:31.029 Uttam Kumaran: I’ve had all that stuff off for a long time. I would turn it off globally if I could. I I don’t know how to.
103 00:14:33.000 ⇒ 00:14:35.300 Uttam Kumaran: That’s my feedback, and I’ve been using slack
104 00:14:35.640 ⇒ 00:14:39.299 Uttam Kumaran: my whole career for, like 8 years, this is always a problem.
105 00:14:41.420 ⇒ 00:14:53.709 Hannah Wang: Yeah, I usually try to turn on dnd cause I know. Like if I open slack, I see everything. So I’ll just keep doing that cause. I don’t. The pings distract me from like whatever I
106 00:14:53.880 ⇒ 00:14:57.749 Hannah Wang: trying to get done so I usually have, do not disturb on.
107 00:14:58.020 ⇒ 00:14:59.450 Hannah Wang: But yeah, that’s helpful.
108 00:15:08.740 ⇒ 00:15:11.620 Hannah Wang: Alright. I think someone else can go get their update.
109 00:15:12.830 ⇒ 00:15:14.700 Awaish Kumar: I can go.
110 00:15:15.840 ⇒ 00:15:21.680 Awaish Kumar: So for me, things have been going well, I think
111 00:15:22.070 ⇒ 00:15:34.040 Awaish Kumar: like stuff on data platform is moving and also like they that’s been
112 00:15:34.890 ⇒ 00:15:43.410 Awaish Kumar: good communications between the team members. But yeah, sometimes I’m I’m unable to need with the
113 00:15:43.860 ⇒ 00:15:46.880 Awaish Kumar: people in Europe like Gaio was, for example
114 00:15:47.691 ⇒ 00:15:53.249 Awaish Kumar: like, he’s only available until 11 Am. Est for meetings and all. So
115 00:15:54.260 ⇒ 00:16:00.997 Awaish Kumar: I will try to set up like, send up for the data platform. So we have a daily update on this. But otherwise,
116 00:16:01.400 ⇒ 00:16:09.100 Awaish Kumar: it’s moving okay and any or and like on the client side, also
117 00:16:10.327 ⇒ 00:16:16.372 Awaish Kumar: like on the Indian side. Basically, we have been blocked for some modeling work. But otherwise
118 00:16:17.430 ⇒ 00:16:23.590 Awaish Kumar: she’s like, she’s utilizing all our offers on it. So yeah, things going? Well.
119 00:16:23.930 ⇒ 00:16:29.479 Awaish Kumar: But yeah, like, I like what I could say, like I,
120 00:16:30.350 ⇒ 00:16:40.060 Awaish Kumar: where I would need help is like how to like, communicate with team members like. So, for example, some of the messages which.
121 00:16:40.580 ⇒ 00:16:49.870 Awaish Kumar: like could have been sent to me, or something like that. They are like bypass directly to them. I don’t know how to communicate with the team.
122 00:16:50.370 ⇒ 00:16:56.740 Uttam Kumaran: Yeah, this is great. So let me let me give you 2 piece of feedback there. One. If you’re not able to meet people, force them to send you alone.
123 00:16:57.418 ⇒ 00:17:21.540 Uttam Kumaran: Don’t take like. Don’t. Don’t take meeting as a restriction, I think. Take it as an opportunity to tell people, hey? If you can’t, if we can’t find a meeting that’s fine, but at minimum, at maximum you should write down thoughts at minimum. You need to send me a loom. So, for example, if you’re not able to meet with Kyle, and you need him to give you like a bunch of information, give him a couple of questions, answers like you, please record a loom and answer these.
124 00:17:22.390 ⇒ 00:17:22.760 Awaish Kumar: I’m just.
125 00:17:22.760 ⇒ 00:17:28.785 Uttam Kumaran: Telling you it’s gonna be so much better than talking slide. In fact, one of the things that
126 00:17:29.410 ⇒ 00:17:41.880 Uttam Kumaran: I don’t think everybody here is near that I think maybe Amber is probably the only one with like really meeting overload is, I really want to push you guys to ask for a little this more often you’ll find it to be great.
127 00:17:42.280 ⇒ 00:17:45.490 Uttam Kumaran: You’ll you’ll be able to utilize it to skip a lot of meetings.
128 00:17:45.863 ⇒ 00:17:58.309 Uttam Kumaran: So one for Kyle, I would push, I would push him. And Luke and these guys are shy. They’re not gonna want to do it. Don’t worry about that. Just say, this is, if we’re not able to meet, and we’re trying to accommodate your time zone, please like.
129 00:17:58.680 ⇒ 00:18:07.893 Uttam Kumaran: can you just send me a loom with an overview of this, you can tell them, hey, this will allow us to skip a meeting. This will allow me to help you, so I would push for that second
130 00:18:08.270 ⇒ 00:18:18.400 Uttam Kumaran: I am doing. I I you know it’s been sort of like slow thing where I didn’t want to tell everyone to start going to this crew more. But
131 00:18:18.590 ⇒ 00:18:27.300 Uttam Kumaran: I’m I’m a i’m I am now the second layer of escalation, meaning anyone that comes directly to me. I’m basically saying I’m asking, did they ask
132 00:18:27.700 ⇒ 00:18:29.180 Uttam Kumaran: someone here, first? st
133 00:18:29.616 ⇒ 00:18:34.540 Uttam Kumaran: Right? And and this is where, how I want to think about escalations. I want to think about it. One.
134 00:18:34.700 ⇒ 00:18:48.530 Uttam Kumaran: did you? Google it 2. Did you ask? AI 3. Did you check notion? 4. Did you ask one of these crew? 5. Did you ask me? There’s all these layers of escalations that people need to ingrain in their mind that they can use for help.
135 00:18:49.019 ⇒ 00:19:01.779 Uttam Kumaran: The other thing is, if they do have a question. You need to help people give more context. Right? Loom is a great way of being like, hey, can you just brain dump what your problem is into loom.
136 00:19:01.900 ⇒ 00:19:12.840 Uttam Kumaran: so that I can then work on it, because if someone says I need help with this, or they’re they’re sending too many messages or sort of frazzled. I’m literally like, Hey, you can’t. I can’t help you, and I also cannot hop on a meeting.
137 00:19:13.190 ⇒ 00:19:19.399 Uttam Kumaran: So this is something where I think, for this crew push for the communication to get better.
138 00:19:19.540 ⇒ 00:19:25.360 Uttam Kumaran: and rely on some of these tools that we have internally like loom to to make that happen?
139 00:19:25.490 ⇒ 00:19:27.120 Uttam Kumaran: Does that help.
140 00:19:29.312 ⇒ 00:19:35.639 Awaish Kumar: Yeah, yeah, like that helps. But what I yeah, so like.
141 00:19:36.970 ⇒ 00:19:38.961 Awaish Kumar: I don’t know, like even
142 00:19:40.040 ⇒ 00:19:45.850 Awaish Kumar: I think that’s like more of a like a sudden think that I am being
143 00:19:46.260 ⇒ 00:19:49.179 Awaish Kumar: in meetings with those. So maybe that’s why, like they
144 00:19:49.380 ⇒ 00:19:53.469 Awaish Kumar: want to involve everybody. The team. We are small team as well. So yeah.
145 00:19:54.800 ⇒ 00:20:00.050 Uttam Kumaran: Yeah, I think, you know, it’s always gonna be these transitions. And I, of course, like, I’m still involved.
146 00:20:01.690 ⇒ 00:20:07.829 Uttam Kumaran: but I think, try to lean on these Async tools. And yeah, I mean again, I don’t think anything
147 00:20:08.410 ⇒ 00:20:17.609 Uttam Kumaran: any, nothing consistent with you spending time with people on a meeting right, but try to make sure that those times are productive and that they actually make an impact.
148 00:20:17.780 ⇒ 00:20:29.630 Uttam Kumaran: Also, like, yeah, for folks like Kyle, maybe there’s not a chance for to meet. It’s fine, but we he just needs to. We just need to improve where he can’t log in. Do a couple of things. Send a couple of slacks and log out right. He has to send.
149 00:20:29.990 ⇒ 00:20:31.840 Uttam Kumaran: We need more than that, you know.
150 00:20:34.490 ⇒ 00:20:36.547 Awaish Kumar: Yeah, okay, yeah. And that’s fine.
151 00:20:42.940 ⇒ 00:20:44.639 Uttam Kumaran: Amber. You wanna go ahead.
152 00:20:46.460 ⇒ 00:20:49.600 Awaish Kumar: Yeah, apart from that, I have some task to
153 00:20:49.990 ⇒ 00:20:55.820 Awaish Kumar: for for data platform to the loop. And also for any. So yeah, like
154 00:20:56.360 ⇒ 00:21:01.390 Awaish Kumar: in the next in this week and the next week. Maybe we have good enough progress on data platform.
155 00:21:05.560 ⇒ 00:21:19.970 Amber Lin: Yeah, for me. Clients I have are ABC pool pars matter more off the record and hopefully urban sense, right? And then ABC is going pretty well. I do think that
156 00:21:20.681 ⇒ 00:21:44.180 Amber Lin: this week is going to be a lot of work between me and Yvette. I had a good call with them earlier Monday. For pool parts. I know we’re kind of still pending on their decision. I talked to Kim earlier. I asked her like, what do you think about these analysis? I’ll drop my notes in our channel. But essentially, she said, I don’t think they want this for now.
157 00:21:44.637 ⇒ 00:21:50.199 Amber Lin: Especially like these are pretty tight for them, so they don’t really have capacity for much.
158 00:21:50.760 ⇒ 00:21:59.309 Uttam Kumaran: Let’s pause. But let’s pause there like this is a conversation that Robert is having with Ben. So I think, like we need to get Ben’s approval.
159 00:21:59.480 ⇒ 00:22:02.949 Uttam Kumaran: Kim doesn’t have any like say over what they work on or not like.
160 00:22:02.950 ⇒ 00:22:04.209 Amber Lin: Yeah, I know. I know.
161 00:22:04.210 ⇒ 00:22:07.540 Uttam Kumaran: So I think it’s helpful to get her position on it. But, like
162 00:22:08.020 ⇒ 00:22:12.360 Uttam Kumaran: even the message that Ben sent to me, I immediately sent to the Channel, because I’m like
163 00:22:12.510 ⇒ 00:22:14.829 Uttam Kumaran: this is a negotiation between Robert and him.
164 00:22:15.010 ⇒ 00:22:18.278 Uttam Kumaran: So I want there to be one sales channel for that to happen.
165 00:22:18.960 ⇒ 00:22:23.609 Uttam Kumaran: So I think I think they’re right. But he already gave that feedback on like Slim it down.
166 00:22:23.730 ⇒ 00:22:27.689 Uttam Kumaran: And so I’m sort of like leaving it in Robert
167 00:22:27.940 ⇒ 00:22:32.561 Uttam Kumaran: in your court to to move it forward as as you see fit. You know.
168 00:22:33.720 ⇒ 00:22:34.520 Amber Lin: Cool. Yeah.
169 00:22:34.960 ⇒ 00:22:35.330 Uttam Kumaran: Cool.
170 00:22:35.330 ⇒ 00:22:46.230 Robert Tseng: Yeah. Ben didn’t want to talk to me yesterday or today. I guess he just wants to see the retro on the analysis. Fine. We’ll we’ll send him something Thursday, and then we’ll try talk to him next week.
171 00:22:46.900 ⇒ 00:22:47.500 Uttam Kumaran: Okay.
172 00:22:47.610 ⇒ 00:22:53.229 Uttam Kumaran: yeah. I mean, like, I don’t want. I don’t. I’m no longer interested in playing these like games with these guys.
173 00:22:53.440 ⇒ 00:22:54.510 Robert Tseng: Yeah.
174 00:22:54.690 ⇒ 00:23:00.990 Uttam Kumaran: We’re gonna move past them, and then we’ll drop. We’ll drop them as a client like if if they’re not gonna pay us for this stuff. So
175 00:23:01.120 ⇒ 00:23:04.450 Uttam Kumaran: I’m we’re not gonna beg for work. So.
176 00:23:04.830 ⇒ 00:23:06.360 Robert Tseng: It is what it is.
177 00:23:06.980 ⇒ 00:23:23.329 Amber Lin: Okay, yeah. Sounds good. I also as like I told him, I told him that I was gonna do an analysis. She suggested that I might want to hold off another day, just so that we have fresher data. I kinda agree I might.
178 00:23:24.020 ⇒ 00:23:26.850 Amber Lin: I would like to hold up. I don’t know if we’ll.
179 00:23:26.850 ⇒ 00:23:30.840 Uttam Kumaran: But what analysis is this? Is this? Is this the same stuff, Robert, you’re doing.
180 00:23:32.610 ⇒ 00:23:36.889 Robert Tseng: Yeah, this is just that they want to know after they drop their prices, what actually happened.
181 00:23:38.470 ⇒ 00:23:42.399 Uttam Kumaran: When did they drop right like this? Is it the test we ran like a year ago? Or is this like something recent.
182 00:23:42.400 ⇒ 00:23:43.820 Amber Lin: So they dropped it on Friday.
183 00:23:43.820 ⇒ 00:23:44.580 Amber Lin: I’m not kidding.
184 00:23:44.844 ⇒ 00:23:46.430 Uttam Kumaran: Okay. Okay. Okay. I see this.
185 00:23:49.388 ⇒ 00:23:53.099 Robert Tseng: Think you can still start it. I mean, you’ll have to update the data, probably. But like.
186 00:23:53.210 ⇒ 00:23:57.210 Robert Tseng: I mean the I think the announcement. So it’s still gonna be the same. We can
187 00:23:57.680 ⇒ 00:24:00.030 Robert Tseng: plug in new data tomorrow.
188 00:24:00.030 ⇒ 00:24:01.660 Amber Lin: Yeah, that sounds good.
189 00:24:02.353 ⇒ 00:24:20.019 Amber Lin: Okay, that’s pull parts. Not a more going pretty well off the record, but going pretty well. So I think the client parts are pretty good. I’ve had good calls with the client, so I’m pretty happy. With that I’ll share what I was doing for, like setting up.
190 00:24:20.140 ⇒ 00:24:36.259 Amber Lin: I I wanted to share the doc I was working on yesterday of what makes like good client delivery service, and there’s a few initiatives that I want to get started on. So I’ll go through those later. But that’s mostly updates on my end.
191 00:24:37.600 ⇒ 00:24:38.330 Uttam Kumaran: Nice?
192 00:24:39.268 ⇒ 00:24:41.900 Uttam Kumaran: Well, what’s what’s been hard.
193 00:24:44.000 ⇒ 00:24:44.630 Amber Lin: Huh!
194 00:24:44.630 ⇒ 00:24:48.562 Uttam Kumaran: What’s been difficult, because those just sound like updates.
195 00:24:49.000 ⇒ 00:24:53.687 Amber Lin: I mean, yeah, those are updates. Like, recently, I don’t think there’s much that’s that difficult
196 00:24:53.980 ⇒ 00:24:56.650 Uttam Kumaran: Oh, you can’t say that, because then you’re gonna open up.
197 00:24:56.810 ⇒ 00:24:59.160 Uttam Kumaran: I got a hundred things I need help with.
198 00:24:59.160 ⇒ 00:25:12.249 Amber Lin: Ways right? Last week was difficult, and it was better. And then it will come again. So like I’m essentially opening up for more work, and then it’ll get difficult again. So I’m fine with that.
199 00:25:12.680 ⇒ 00:25:22.999 Uttam Kumaran: Cool. How is? Yeah, I know I took the AI stuff off your plate. I’m just like ripping them through. So I hope that that’s helped a bit as well.
200 00:25:23.000 ⇒ 00:25:23.320 Uttam Kumaran: Hey?
201 00:25:23.320 ⇒ 00:25:23.840 Amber Lin: It really
202 00:25:23.840 ⇒ 00:25:36.360 Amber Lin: because it helped my range of focus. That I’m not that scattered anymore. Helps me go a little bit deeper on the client engine stuff, because there is a lot more stuff that I can do. I think
203 00:25:36.720 ⇒ 00:25:50.100 Amber Lin: when I had the AI and Sales stuff, my service was like floating around a C. Now it’s like at B, go into A, there’s more stuff we can do. There’s stuff I want to standardize, so
204 00:25:50.210 ⇒ 00:25:53.800 Amber Lin: there’s stuff I can. There’s work at that. I can focus on.
205 00:25:54.680 ⇒ 00:25:57.729 Uttam Kumaran: Cool. Okay, yeah, I I think the client stuff is still
206 00:25:57.970 ⇒ 00:26:00.679 Uttam Kumaran: number one, plus, plus, you know, like nothing.
207 00:26:00.680 ⇒ 00:26:01.180 Amber Lin: Yeah, it is.
208 00:26:01.180 ⇒ 00:26:04.669 Uttam Kumaran: Even even when Miguel today he was like
209 00:26:04.800 ⇒ 00:26:11.489 Uttam Kumaran: cause I was like, Look, I want to ship these internal things out, and he’s like, well, what I pull parts now, and I’m like, look, that’s not for you to debate with me.
210 00:26:11.790 ⇒ 00:26:20.000 Uttam Kumaran: Go talk to Amber about what the timeline is. However, the only feedback I’ll give is like clients are more important than my work is more important than anything we’re doing internally. So
211 00:26:22.580 ⇒ 00:26:26.640 Uttam Kumaran: But that’s that’s that’s great. And you know, I think we have a lot more.
212 00:26:27.030 ⇒ 00:26:36.280 Uttam Kumaran: I saw the read me close work. I think we’re gonna have a couple of more things coming down the pipeline. So I’m glad I’m glad that, like this is a little bit of better than last week.
213 00:26:36.780 ⇒ 00:26:41.470 Amber Lin: Yeah, awesome. I was gonna bring up a lot of our people have capacity.
214 00:26:42.433 ⇒ 00:26:50.430 Amber Lin: They’re unused. They’re just lying around. I know we’re trying to place on different projects, but I I think they would like client work
215 00:26:50.560 ⇒ 00:27:00.869 Amber Lin: as well like Annie has a bit of capacity. Luke definitely has capacity. As we mentioned, Kyle has capacity. So we’re waiting. We’re waiting on those new projects to drop.
216 00:27:03.340 ⇒ 00:27:04.900 Robert Tseng: And he has capacity.
217 00:27:05.830 ⇒ 00:27:17.929 Amber Lin: I think Annie has capacity like matter more. And ABC. Doesn’t really take up that much of the top of her time. The internal project also takes us like 5 HI think she has capacity for at least a small client.
218 00:27:18.200 ⇒ 00:27:20.920 Amber Lin: That’s what that’s what she said. When I was calling her.
219 00:27:21.380 ⇒ 00:27:24.910 Robert Tseng: Okay, I think I need to just increase her stuff and eaten. Then.
220 00:27:25.180 ⇒ 00:27:30.189 Amber Lin: Oh, gosh! She already estimated 20 h on ebay.
221 00:27:32.180 ⇒ 00:27:33.629 Robert Tseng: Yeah, I, mean, yeah.
222 00:27:33.630 ⇒ 00:27:34.119 Uttam Kumaran: I don’t know.
223 00:27:34.120 ⇒ 00:27:39.140 Uttam Kumaran: I think she’s our. She’s our only analyst. So I wanna make sure that she has a full plate of work before we.
224 00:27:40.360 ⇒ 00:27:43.669 Uttam Kumaran: They bring more folks on. And yeah.
225 00:27:46.560 ⇒ 00:27:47.170 Amber Lin: Cool.
226 00:27:51.465 ⇒ 00:28:08.070 Amber Lin: Okay. Oh, side note, if you can share the spreadsheet with me or we can clean it up and then let Megan do the financial modeling. I do really really want to see our project level. Profitability.
227 00:28:08.070 ⇒ 00:28:13.028 Uttam Kumaran: Okay, yeah, I have a backlog of that sort of stuff to get through today. So I’ll do that.
228 00:28:13.290 ⇒ 00:28:13.830 Amber Lin: That’s.
229 00:28:14.520 ⇒ 00:28:15.339 Uttam Kumaran: Yeah, windows.
230 00:28:15.340 ⇒ 00:28:17.420 Uttam Kumaran: What else is on the agenda today?
231 00:28:17.420 ⇒ 00:28:22.679 Amber Lin: Yeah. Next part, I think a wish you should talk about the certification plan. You have.
232 00:28:25.903 ⇒ 00:28:28.840 Awaish Kumar: Yeah. Like, can I share my screen?
233 00:28:29.550 ⇒ 00:28:30.180 Amber Lin: Yeah.
234 00:28:33.150 ⇒ 00:28:35.850 Awaish Kumar: Because calm.
235 00:28:36.540 ⇒ 00:28:38.040 Awaish Kumar: Okay, where is it?
236 00:28:40.250 ⇒ 00:28:53.449 Awaish Kumar: Okay? Yeah. Here. So yes. This is the plan I have made for certification in the phase one. We would like everyone, everybody who is interested in the team. At least the data team
237 00:28:53.610 ⇒ 00:28:59.680 Awaish Kumar: has to do this. Dvd analytics, engineer certification.
238 00:29:00.477 ⇒ 00:29:03.260 Awaish Kumar: This is kind of timeline, I suggested.
239 00:29:05.750 ⇒ 00:29:13.539 Awaish Kumar: which says, like we, we can launch it like, maybe in the Friday tomorrow we can announce you know it. And
240 00:29:14.440 ⇒ 00:29:16.930 Awaish Kumar: anybody interested. Or if you want to
241 00:29:17.290 ⇒ 00:29:23.780 Awaish Kumar: want everyone to do it, like, it depends. But yeah, we can say that we can give them a month to study.
242 00:29:24.020 ⇒ 00:29:29.530 Awaish Kumar: and in the next like after after this preparation, maybe
243 00:29:29.820 ⇒ 00:29:34.220 Awaish Kumar: 1015 days to take the exam. And then, yeah, after
244 00:29:34.590 ⇒ 00:29:42.470 Awaish Kumar: in July, we can celebrate whoever completed, and taking the exam in some retro again.
245 00:29:43.530 ⇒ 00:29:47.860 Awaish Kumar: And it’s like kind of $200 per person for this exam.
246 00:29:48.640 ⇒ 00:29:50.180 Awaish Kumar: Which he had.
247 00:29:50.520 ⇒ 00:29:53.230 Awaish Kumar: We are going to reimburse after they pass it.
248 00:29:53.850 ⇒ 00:29:56.766 Awaish Kumar: and I don’t know how what to do. If they fail, it.
249 00:29:59.230 ⇒ 00:30:02.469 Uttam Kumaran: I don’t know if anyone yes.
250 00:30:03.010 ⇒ 00:30:10.140 Uttam Kumaran: it shouldn’t be that bad. The only so I left some comments here. The only thing I said, is like, I want to prioritize this and then snowflake.
251 00:30:10.270 ⇒ 00:30:10.840 Uttam Kumaran: Yeah.
252 00:30:10.840 ⇒ 00:30:20.920 Awaish Kumar: I saw your comments, and, like you are right, I was not able to put the links, but that’s what in my mind as well, this one is the 1st one
253 00:30:21.030 ⇒ 00:30:25.539 Awaish Kumar: for everybody in the phase one, and then they’re like
254 00:30:25.710 ⇒ 00:30:29.029 Awaish Kumar: Phase 2. That’s what I suggested, like snow pro core
255 00:30:29.290 ⇒ 00:30:32.910 Awaish Kumar: for analytics, engineers and tableau for data, analyst.
256 00:30:36.890 ⇒ 00:30:54.259 Uttam Kumaran: Yeah. So like, I guess I’m so 2 things on my mind for the sales side. So one for us to get on Dbt’s radar. I want to get as many people Dbt certified, and then Snowflake. I had a conversation with a snowflake sales engineer. We need like 4 certifications in order to get a
257 00:30:54.750 ⇒ 00:31:04.750 Uttam Kumaran: in order to get Snowflake select certified. So those are the 2 highest priority items. After that I’m open to it like I think
258 00:31:05.070 ⇒ 00:31:12.570 Uttam Kumaran: I don’t know. I would ask Robert like, are there any other like better analytics? Related certifications we can go after is tableau like
259 00:31:13.730 ⇒ 00:31:18.639 Uttam Kumaran: the only one like I I kind of like don’t care about becoming like a tableau partner.
260 00:31:18.640 ⇒ 00:31:19.210 Robert Tseng: Yeah.
261 00:31:19.210 ⇒ 00:31:24.250 Uttam Kumaran: First.st Personally, like, I kind of want to take one that’s like actually legit also.
262 00:31:25.340 ⇒ 00:31:29.440 Uttam Kumaran: But I don’t know whether there’s anything that like sticks out in your mind.
263 00:31:34.120 ⇒ 00:31:42.999 Robert Tseng: I feel like being like Bi. Tool certified is not that important? But like, I think maybe if we move up the stack a bit.
264 00:31:43.380 ⇒ 00:31:48.410 Robert Tseng: I mean, we don’t have segment certification, but we maybe we should like I mean, segment rubber stack like.
265 00:31:48.410 ⇒ 00:31:54.869 Uttam Kumaran: Is there? Is there something around sort of like the analysis work that you guys did for pool parts where there’s like something around us like.
266 00:31:56.090 ⇒ 00:31:57.999 Uttam Kumaran: I don’t even know what that is, but like.
267 00:31:58.000 ⇒ 00:31:58.590 Robert Tseng: Yeah, yeah.
268 00:31:58.590 ⇒ 00:32:06.769 Uttam Kumaran: Like actually like insights finding shit like I don’t. I also don’t care about in allegiance to any of the bi tools. We’re not gonna get much business from that. And
269 00:32:07.200 ⇒ 00:32:11.859 Uttam Kumaran: that’s like, yeah, I don’t know that stuff is easy for everybody on the team.
270 00:32:12.060 ⇒ 00:32:19.180 Uttam Kumaran: I want more of like state of storytelling basically or like, yeah, something around that.
271 00:32:19.940 ⇒ 00:32:24.579 Robert Tseng: Yeah, I’m not sure. I feel like infrastructure partnerships are
272 00:32:25.050 ⇒ 00:32:28.960 Robert Tseng: either like Mom, maybe we should do Mongodb, or I don’t know. But like
273 00:32:29.610 ⇒ 00:32:31.930 Robert Tseng: But yeah, I don’t know anything about insights like.
274 00:32:32.690 ⇒ 00:32:40.030 Awaish Kumar: Yeah, like for data analysts, like, we, we do have some general exams on course or something like that.
275 00:32:40.370 ⇒ 00:32:47.210 Awaish Kumar: where you can do like data data analyst work it actually storytelling or something. But
276 00:32:47.320 ⇒ 00:32:50.931 Awaish Kumar: obviously they are. They are going to use some tool. And
277 00:32:51.540 ⇒ 00:32:54.400 Awaish Kumar: I think in the tableau certification. Also, they will
278 00:32:55.030 ⇒ 00:32:58.079 Awaish Kumar: like teach you about storytelling and the how
279 00:32:58.260 ⇒ 00:33:01.490 Awaish Kumar: like kind of a mini project which we do something like that.
280 00:33:02.690 ⇒ 00:33:11.320 Robert Tseng: Honestly the best insights. Flex is just that like we have amber that was at like we flex one of these other.
281 00:33:11.320 ⇒ 00:33:18.580 Uttam Kumaran: That’s what I’m like trying to find out like, who can like? Is there like? Is there? Can someone put it? Can we put everyone through like a mini consulting Boot camp.
282 00:33:19.070 ⇒ 00:33:20.850 Uttam Kumaran: I mean, I want to take that like.
283 00:33:21.080 ⇒ 00:33:35.010 Robert Tseng: Yeah, maybe they have, like, I think I know, Accenture put stuff out like this. They do like they have. They have their own certification so you can get I think some of these consulting firms do stuff like that. Maybe it’d be good. You just get a logo on there.
284 00:33:41.650 ⇒ 00:33:46.100 Uttam Kumaran: I mean. The the only other one I would consider doing is like we do an AI one
285 00:33:49.680 ⇒ 00:33:56.550 Robert Tseng: Yeah, maybe we should all be like, doesn’t open AI or Google have AI certifications and stuff.
286 00:33:59.330 ⇒ 00:34:00.440 Uttam Kumaran: Let’s see.
287 00:34:01.620 ⇒ 00:34:06.259 Awaish Kumar: Like we we have this I’ll think about like the service side.
288 00:34:06.570 ⇒ 00:34:07.330 Robert Tseng: Nice.
289 00:34:10.739 ⇒ 00:34:19.269 Uttam Kumaran: There’s, I mean, there’s a bunch of like grift certifications in AI right now that, like, it’s just people like making money teaching you to like prompt like that sort of stuff. I want to avoid.
290 00:34:19.750 ⇒ 00:34:20.170 Robert Tseng: Yeah.
291 00:34:22.979 ⇒ 00:34:25.749 Uttam Kumaran: I can. I can. I can ask around a little bit
292 00:34:26.449 ⇒ 00:34:30.929 Uttam Kumaran: on like if there’s any good certifications in the analyst sort of insights. Work.
293 00:34:31.339 ⇒ 00:34:34.429 Uttam Kumaran: Dbt and Snowflake are the top of mind right now for me
294 00:34:35.800 ⇒ 00:34:41.159 Uttam Kumaran: and then for the folks that want to go heavier into data ends. We can have them do stuff on aws
295 00:34:41.570 ⇒ 00:34:45.159 Uttam Kumaran: for the folks that want to stay in Dbt. We can.
296 00:34:45.469 ⇒ 00:34:48.180 Uttam Kumaran: or same modeling world. There’s a couple of other ones.
297 00:34:51.830 ⇒ 00:34:54.619 Uttam Kumaran: Oh, and then I mean, I definitely don’t. Wanna
298 00:34:55.100 ⇒ 00:35:03.330 Uttam Kumaran: I don’t know if like. I’m also thinking about Erickson’s offering couple of slots for his next play sort of play sort of training that he runs.
299 00:35:03.610 ⇒ 00:35:06.910 Uttam Kumaran: So I was gonna send a couple of folks into that, too.
300 00:35:06.910 ⇒ 00:35:08.050 Robert Tseng: Oh, yeah.
301 00:35:08.050 ⇒ 00:35:13.320 Uttam Kumaran: Yeah, like amber. I suggested. You go, I suggested Miguel. Casey. Go and Ryan go.
302 00:35:15.780 ⇒ 00:35:23.179 Uttam Kumaran: I mean, if if we, if we close a deal with them like I mean, I’m not trying to pay for that. So if we close the deal with them, I think you’ll just let us do it.
303 00:35:24.270 ⇒ 00:35:25.700 Amber Lin: Yay. Okay.
304 00:35:26.010 ⇒ 00:35:26.600 Uttam Kumaran: Yeah.
305 00:35:29.540 ⇒ 00:35:30.280 Amber Lin: Cool.
306 00:35:30.600 ⇒ 00:35:31.760 Awaish Kumar: Okay. Yeah.
307 00:35:32.290 ⇒ 00:35:34.105 Amber Lin: That sounds good.
308 00:35:34.840 ⇒ 00:35:45.989 Amber Lin: I know we have 10 min left. I have a few other items. I kind of want us to run through. Let’s decide on the intern cohort. Are we gonna do that?
309 00:35:46.330 ⇒ 00:35:47.500 Amber Lin: What do we think.
310 00:35:50.840 ⇒ 00:35:56.007 Uttam Kumaran: yeah, I mean, I guess, to kind of give everyone. Can you flash up if we have whatever materials.
311 00:35:56.280 ⇒ 00:36:00.550 Amber Lin: Send. Let me send you guys to thing
312 00:36:02.420 ⇒ 00:36:05.909 Robert Tseng: I put some comments this morning under the slack direct, but that’s my perspective.
313 00:36:07.060 ⇒ 00:36:08.080 Amber Lin: Awesome.
314 00:36:08.430 ⇒ 00:36:10.770 Uttam Kumaran: Yeah, I mean, I basically was like, look.
315 00:36:11.430 ⇒ 00:36:16.449 Uttam Kumaran: last year we did this. It was okay. It was not. I mean, it wasn’t like great, but like
316 00:36:16.730 ⇒ 00:36:20.229 Uttam Kumaran: where also the people weren’t liked super great.
317 00:36:21.230 ⇒ 00:36:27.720 Uttam Kumaran: I also just think that, like for being honest with ourselves, we should just align everybody towards sales and marketing.
318 00:36:27.950 ⇒ 00:36:31.840 Uttam Kumaran: And like some an AI automation, basically, I don’t think
319 00:36:32.170 ⇒ 00:36:34.839 Uttam Kumaran: I mean, there are people that are hitting me up for data.
320 00:36:35.090 ⇒ 00:36:36.730 Uttam Kumaran: However, I I don’t know.
321 00:36:36.960 ⇒ 00:36:41.859 Uttam Kumaran: My under my fundamental understanding is like I learned data on the job. And
322 00:36:42.860 ⇒ 00:36:46.550 Uttam Kumaran: I don’t really know how else you do this sort of stuff. So.
323 00:36:46.550 ⇒ 00:36:46.990 Amber Lin: Yeah.
324 00:36:46.990 ⇒ 00:36:51.299 Uttam Kumaran: Data. Internships are hard because we don’t have like a lot of internal data work.
325 00:36:51.940 ⇒ 00:36:54.790 Uttam Kumaran: And certainly, like, I don’t want to pay for internal data work.
326 00:36:54.970 ⇒ 00:36:58.519 Uttam Kumaran: And I just think that like.
327 00:36:59.240 ⇒ 00:37:04.359 Uttam Kumaran: if people are interested in AI or or basically helping anything related to sales and growing revenue, that’s what I’m more
328 00:37:04.680 ⇒ 00:37:06.829 Uttam Kumaran: committed to spending time on.
329 00:37:07.650 ⇒ 00:37:08.510 Uttam Kumaran: No.
330 00:37:08.700 ⇒ 00:37:09.270 Amber Lin: Yeah.
331 00:37:09.510 ⇒ 00:37:26.489 Amber Lin: I agree. I think we can use some help, especially when it comes to like content marketing. I think, Ryan, if he’s willing to. We can. He can take some apprentices to save him some time, because he is busy with a a lot of work and a lot of work. I feel like
332 00:37:27.400 ⇒ 00:37:30.419 Amber Lin: he could. Maybe he could let some interns do.
333 00:37:30.910 ⇒ 00:37:32.469 Amber Lin: That was my perspective.
334 00:37:34.600 ⇒ 00:37:42.089 Hannah Wang: Well, I know he wanted to bring on his brother. I don’t know like where that conversation went, but
335 00:37:42.260 ⇒ 00:37:45.019 Hannah Wang: that was something he talked about. I think.
336 00:37:48.910 ⇒ 00:37:55.090 Hannah Wang: But yeah, I don’t. I don’t know the time. If you have more context on that.
337 00:38:03.610 ⇒ 00:38:07.320 Hannah Wang: The second Uton disappeared. So I’m assuming that’s the voice.
338 00:38:07.320 ⇒ 00:38:10.990 Amber Lin: Probably prior to the I see. Okay,
339 00:38:11.900 ⇒ 00:38:17.586 Amber Lin: if we if we decide on it, we should probably post somewhere
340 00:38:18.220 ⇒ 00:38:26.159 Amber Lin: I’ll go check on, Robert, I’ll go check on your notes in the Channel. I do think this is a nice marketing opportunity.
341 00:38:28.260 ⇒ 00:38:33.839 Uttam Kumaran: Yeah, I think we we already have a lot of applicants, though.
342 00:38:33.840 ⇒ 00:38:34.510 Amber Lin: Yeah.
343 00:38:34.610 ⇒ 00:38:36.690 Uttam Kumaran: So like. And this is other thing is like.
344 00:38:37.930 ⇒ 00:38:43.209 Uttam Kumaran: I don’t know. I really like, I don’t think I’m gonna have the time to do a lot of this like management.
345 00:38:43.480 ⇒ 00:38:46.500 Uttam Kumaran: So we need to think about something sustainable.
346 00:38:46.840 ⇒ 00:38:53.520 Uttam Kumaran: whether it’s like limiting the amount of interns, or I don’t know, because
347 00:38:54.090 ⇒ 00:38:58.079 Uttam Kumaran: it’s it’s it takes a lot of it takes a lot of work. And
348 00:38:58.410 ⇒ 00:39:21.683 Uttam Kumaran: you know, the worst case thing is like some of these folks again. They’re just like they’re they’re junior folks. So, or they’re like. So they’re gonna just like they’re not good. So this is where, like we need to make sure that we’re we’re still getting a positive roi like I don’t want. Just I don’t want to do this. This isn’t charity like, I want this actually be impactful for the company as well.
349 00:39:22.558 ⇒ 00:39:26.040 Uttam Kumaran: So I just want us to be honest with ourselves whether it’s worth it.
350 00:39:26.180 ⇒ 00:39:26.800 Uttam Kumaran: Good afternoon.
351 00:39:26.800 ⇒ 00:39:27.140 Amber Lin: Yeah.
352 00:39:27.490 ⇒ 00:39:27.869 Amber Lin: Do you think?
353 00:39:27.870 ⇒ 00:39:29.390 Amber Lin: Yeah, I mean, received.
354 00:39:30.550 ⇒ 00:39:38.719 Uttam Kumaran: Yeah, I I don’t know. I feel like if if one of these, if one of these people we find is like a Rock Star, and they want to join us, and that’s a huge benefit.
355 00:39:40.590 ⇒ 00:39:47.169 Uttam Kumaran: if people are using us for resume boost. And they actually aren’t good at anything. And they’re like, sort of gonna go into big tech
356 00:39:48.010 ⇒ 00:39:55.070 Uttam Kumaran: that’s like, not that’s like not worth it, you know.
357 00:39:58.910 ⇒ 00:39:59.290 Amber Lin: I agree.
358 00:40:05.760 ⇒ 00:40:08.250 Uttam Kumaran: I mean, the only benefit is that they’re unpaid.
359 00:40:08.970 ⇒ 00:40:16.720 Uttam Kumaran: That’s also the thing is like, do we want to pay? Yeah, if we don’t, if we’re not. Yeah. But even the even thing is last I didn’t pay anyone. But I’m like, I still like.
360 00:40:16.970 ⇒ 00:40:20.920 Uttam Kumaran: we spent a lot of time, and some people didn’t get anywhere, and it was kind of like pain.
361 00:40:21.780 ⇒ 00:40:26.636 Uttam Kumaran: cause you gotta think some people never worked. And it’s like really brutal.
362 00:40:27.662 ⇒ 00:40:28.928 Uttam Kumaran: I don’t know.
363 00:40:30.630 ⇒ 00:40:38.799 Amber Lin: Okay, setting them up will definitely take some time. It also takes time from, say, me or Ryan to coach them and set them up.
364 00:40:38.930 ⇒ 00:40:51.229 Amber Lin: I guess, like a viable chance would be if Ryan’s still interested in getting his brother to join like if his brothers are fine during unpaid like they might work really closely like that might be a good
365 00:40:51.340 ⇒ 00:40:53.300 Amber Lin: that might be a good candidate.
366 00:40:55.310 ⇒ 00:41:07.060 Uttam Kumaran: Yeah, I mean, I think we should understand whether unpaid or paid or like, whether that’s gonna change things. For example, if we’re only taking 2 people. And like we have like 50 applicants. Maybe we find 2 people that are rock solid.
367 00:41:07.320 ⇒ 00:41:10.703 Uttam Kumaran: Maybe it’s worth paying them a little bit.
368 00:41:11.670 ⇒ 00:41:18.239 Uttam Kumaran: but I’m not really inclined to bring anyone into the Beta world, because we have a lot of people for that. And I think it’s hard to teach.
369 00:41:19.200 ⇒ 00:41:20.250 Uttam Kumaran: Yeah.
370 00:41:21.960 ⇒ 00:41:26.880 Amber Lin: Okay, I don’t really have a need for them right now.
371 00:41:27.340 ⇒ 00:41:49.820 Amber Lin: like the client, projects are manageable. I don’t know if you need anyone to do the internal Pm. But that sounds pretty tough for the internal Pm. Intern can do that. Go to market Ops. That’s based on you. If you have a need content marketing. I’ll go ask if we don’t need anyone from these 3. Then I say, we don’t take an intern. It’s not worth the time.
372 00:41:53.558 ⇒ 00:42:00.580 Uttam Kumaran: Yeah, I think. I mean, certainly I could. We could use an internal AI side.
373 00:42:01.460 ⇒ 00:42:04.179 Uttam Kumaran: It’s just like all the people I’ve talked to
374 00:42:05.420 ⇒ 00:42:15.259 Uttam Kumaran: aren’t like good enough, or they’re not like they’re not like. They haven’t tried anything they like. Everybody wants to do this stuff. But I’m like, you know, like Googled. One single thing about how to do this. So
375 00:42:16.730 ⇒ 00:42:19.770 Uttam Kumaran: on the on the sales side, though in sales and marketing.
376 00:42:19.990 ⇒ 00:42:38.269 Uttam Kumaran: I don’t know if we can get someone who wants to sort of help take, because Ryan has a lot of things around like scheduling and content creation and stuff like that. But like I feel like some young person would be really interested in taking on that would free up like 50% of his time on the Pm. Side. I’ll leave it to you if there’s anything, you know that’s like low stakes that you could hand off, whether it’s like
377 00:42:38.990 ⇒ 00:42:46.210 Uttam Kumaran: agendas or like whatever or like putting together notes or helping you. Then I would I would do that.
378 00:42:46.210 ⇒ 00:42:59.130 Amber Lin: Okay, great sounds good. So it sounds like I will talk to Ryan, and I will also think about it to see if one of us has something we want to hand off. If we do, we’ll get an intern. If not, I say we don’t put in a time.
379 00:43:01.120 ⇒ 00:43:08.080 Uttam Kumaran: Okay, and there’s there is an intern. dB, right? Like people who are applying.
380 00:43:11.420 ⇒ 00:43:13.059 Amber Lin: Have we posted anything?
381 00:43:13.600 ⇒ 00:43:14.640 Uttam Kumaran: No, I’m just kidding.
382 00:43:15.160 ⇒ 00:43:21.289 Uttam Kumaran: I just stressed, yeah, I just get like it up, just like left and right.
383 00:43:21.290 ⇒ 00:43:25.129 Uttam Kumaran: Oh, my God, like, yeah. So I just want to put them in there and then
384 00:43:25.720 ⇒ 00:43:26.960 Uttam Kumaran: I think what we can do.
385 00:43:26.960 ⇒ 00:43:30.500 Amber Lin: The database. Then. Okay, I’ll make a I’ll make.
386 00:43:30.500 ⇒ 00:43:31.460 Uttam Kumaran: Something quick.
387 00:43:31.800 ⇒ 00:43:37.450 Amber Lin: Yeah, there, there is a recruitment database. Actually. So you can put it in there. Okay, sounds good.
388 00:43:41.820 ⇒ 00:43:42.380 Uttam Kumaran: Sorry.
389 00:43:42.380 ⇒ 00:43:43.360 Amber Lin: Oh!
390 00:43:48.460 ⇒ 00:43:49.160 Uttam Kumaran: Cool.
391 00:43:51.030 ⇒ 00:44:04.339 Amber Lin: I wanted to address the 2 other things. We do not have time. I kind of wanted. I guess the wish, Hannah, we can meet about thinking about how we can start owning the one on ones.
392 00:44:04.510 ⇒ 00:44:05.910 Amber Lin: and then
393 00:44:06.280 ⇒ 00:44:26.469 Amber Lin: sort of taking it off a little bit. I know. I wish you already have a few people that you meet one on one with Hannah. You probably would meet one on one with the marketing team. I can cover whoever’s rest. I I don’t know if I should cover any of them. But let me know what you guys decide on, and then we’ll tell my decisions.
394 00:44:27.070 ⇒ 00:44:29.496 Uttam Kumaran: Yeah, I’m not doing much. I’m not doing
395 00:44:30.100 ⇒ 00:44:37.810 Uttam Kumaran: that. Many one on ones anymore. Like, I’m talking today, I’m I think I can probably still keep the AI ones, Miguel.
396 00:44:38.110 ⇒ 00:44:46.400 Uttam Kumaran: but otherwise I’m I talked to Mary Ann, and then I can sort of move everyone else to like. Once a month.
397 00:44:47.020 ⇒ 00:44:47.450 Amber Lin: Cool.
398 00:44:47.726 ⇒ 00:44:50.769 Uttam Kumaran: If that’s okay, I just wanna make sure everyone is covered.
399 00:44:51.700 ⇒ 00:44:55.990 Amber Lin: Okay. I think that’s said. Then we just need to decide on a new schedule and then tell everyone. Then.
400 00:44:59.250 ⇒ 00:45:02.710 Hannah Wang: Sounds good. We can also just discuss Async as well.
401 00:45:02.710 ⇒ 00:45:03.360 Amber Lin: Yeah.
402 00:45:03.510 ⇒ 00:45:12.439 Amber Lin: okay, sounds good. If you guys don’t mind, I can record a loom on the client delivery engine, and then I’ll love some feedback on that.
403 00:45:14.515 ⇒ 00:45:22.569 Uttam Kumaran: Yeah, if we don’t. If if you want more immediate feedback, just grab another 15 min sometime. But yeah, I’ll I’ll review it.
404 00:45:22.930 ⇒ 00:45:23.919 Uttam Kumaran: That’d be helpful.
405 00:45:24.150 ⇒ 00:45:26.889 Amber Lin: Yeah, I’ll try to sign a loom. We gotta go to the urban stars meeting.
406 00:45:28.670 ⇒ 00:45:29.280 Uttam Kumaran: Cool.
407 00:45:30.090 ⇒ 00:45:31.990 Hannah Wang: Okay, dokey. Thank you.
408 00:45:31.990 ⇒ 00:45:32.580 Hannah Wang: Thank you.
409 00:45:32.580 ⇒ 00:45:33.190 Awaish Kumar: True.
410 00:45:33.810 ⇒ 00:45:34.520 Hannah Wang: Thank you.