Meeting Title: Weekly Managers Meeting Date: 2025-06-04 Meeting participants: Fireflies.ai Notetaker Awaish, Awaish Kumar, Hannah Wang, Uttam Kumaran, Amber Lin
WEBVTT
1 00:03:20.930 ⇒ 00:03:24.070 Uttam Kumaran: Hey, guys, I think, just waiting for for amber.
2 00:03:27.090 ⇒ 00:03:27.970 Hannah Wang: Sounds good.
3 00:04:20.899 ⇒ 00:04:21.819 Amber Lin: Hi! All!
4 00:04:25.780 ⇒ 00:04:26.840 Hannah Wang: Row.
5 00:04:27.620 ⇒ 00:04:28.590 Uttam Kumaran: Hello!
6 00:04:32.170 ⇒ 00:04:34.109 Amber Lin: We haven’t talked in a while.
7 00:04:34.940 ⇒ 00:04:36.790 Amber Lin: Something happening now.
8 00:04:36.790 ⇒ 00:04:39.130 Uttam Kumaran: Yeah, last week was kind of crazy.
9 00:04:44.610 ⇒ 00:04:53.790 Amber Lin: mean open a document. And then we can toss in anything. We wanna we want to talk about together.
10 00:04:57.350 ⇒ 00:04:58.340 Amber Lin: Let me find it.
11 00:05:07.576 ⇒ 00:05:12.930 Uttam Kumaran: And I guess for that. Where? Where is our Linkedin headers for like employees?
12 00:05:15.280 ⇒ 00:05:17.410 Uttam Kumaran: Linkedin banners?
13 00:05:18.190 ⇒ 00:05:18.880 Uttam Kumaran: Yeah.
14 00:05:19.480 ⇒ 00:05:20.860 Hannah Wang: Let me find it.
15 00:05:22.450 ⇒ 00:05:25.519 Uttam Kumaran: Oh, I haven’t had one.
16 00:05:26.620 ⇒ 00:05:27.469 Hannah Wang: Oh, you got it!
17 00:05:28.290 ⇒ 00:05:29.140 Uttam Kumaran: Okay.
18 00:05:32.400 ⇒ 00:05:32.970 Amber Lin: Hmm!
19 00:05:41.610 ⇒ 00:05:42.360 Amber Lin: What do I?
20 00:05:43.380 ⇒ 00:05:52.280 Amber Lin: All right, dropping it in our chat so
21 00:05:52.560 ⇒ 00:05:54.589 Amber Lin: we can all go there today
22 00:05:55.050 ⇒ 00:05:57.169 Amber Lin: and write down anything we’re thinking about.
23 00:06:06.490 ⇒ 00:06:10.419 Amber Lin: Yeah. If everybody’s here right now, why don’t we take an
24 00:06:10.580 ⇒ 00:06:17.339 Amber Lin: a minute or 2 to jot down something? Now, you guys think we as a team should talk about
25 00:06:18.315 ⇒ 00:06:25.990 Amber Lin: anything that we haven’t discussed so far. Anything that’s happening just dump your thoughts down, and we’ll talk about it in
26 00:06:26.200 ⇒ 00:06:27.779 Amber Lin: 3 to 4 min.
27 00:06:29.120 ⇒ 00:06:31.559 Uttam Kumaran: There is a manager, Sync page already.
28 00:06:32.240 ⇒ 00:06:33.170 Amber Lin: Oh! Is there.
29 00:06:38.430 ⇒ 00:06:40.430 Uttam Kumaran: Sorry. Just opened up.
30 00:06:43.660 ⇒ 00:06:45.751 Uttam Kumaran: Yeah, I’ll send. I’ll send it in
31 00:06:48.830 ⇒ 00:06:51.580 Uttam Kumaran: I will send it in web chain.
32 00:06:52.100 ⇒ 00:06:52.720 Amber Lin: Okay.
33 00:06:55.460 ⇒ 00:06:56.400 Amber Lin: Awesome.
34 00:06:56.590 ⇒ 00:06:57.820 Awaish Kumar: I have shared it.
35 00:07:01.620 ⇒ 00:07:04.810 Amber Lin: I’m not right.
36 00:07:20.610 ⇒ 00:07:21.330 Amber Lin: I think.
37 00:07:49.810 ⇒ 00:07:51.960 Hannah Wang: Can I have access to, please?
38 00:07:52.560 ⇒ 00:07:53.929 Hannah Wang: I requested it.
39 00:07:59.120 ⇒ 00:08:00.430 Uttam Kumaran: Let me check.
40 00:08:01.540 ⇒ 00:08:02.619 Hannah Wang: Okay, I got it.
41 00:08:02.830 ⇒ 00:08:03.370 Amber Lin: Yeah.
42 00:08:28.990 ⇒ 00:08:29.740 Amber Lin: yeah.
43 00:09:06.650 ⇒ 00:09:07.550 Amber Lin: And
44 00:10:23.690 ⇒ 00:10:25.500 Amber Lin: okay, is everybody good?
45 00:10:26.230 ⇒ 00:10:28.099 Amber Lin: Any more thoughts we want to put down.
46 00:10:31.740 ⇒ 00:10:32.510 Hannah Wang: I’m good.
47 00:10:33.150 ⇒ 00:10:33.770 Amber Lin: Okay.
48 00:10:40.955 ⇒ 00:10:43.539 Amber Lin: I am also good.
49 00:10:44.070 ⇒ 00:10:49.579 Amber Lin: Okay, let’s take a moment to read everybody’s
50 00:10:49.850 ⇒ 00:10:52.809 Amber Lin: points, and then we can go through them one by one.
51 00:11:01.000 ⇒ 00:11:07.020 Amber Lin: So I see that there is hiring.
52 00:11:07.770 ⇒ 00:11:11.060 Amber Lin: I want to talk about Pm, sales
53 00:11:14.140 ⇒ 00:11:16.900 Amber Lin: can controls.
54 00:11:39.960 ⇒ 00:11:41.200 Amber Lin: Housetest.
55 00:11:53.478 ⇒ 00:11:58.699 Amber Lin: I put. I put it down the top like if we go in that direction.
56 00:12:01.390 ⇒ 00:12:01.960 Uttam Kumaran: Okay.
57 00:12:01.960 ⇒ 00:12:02.490 Amber Lin: Yeah.
58 00:12:04.383 ⇒ 00:12:06.600 Uttam Kumaran: Let’s open with hiring. So.
59 00:12:07.280 ⇒ 00:12:15.049 Amber Lin: And I think we want to know what’s this current state of that, what we’re thinking, what we need.
60 00:12:15.430 ⇒ 00:12:16.940 Amber Lin: what’s timeline.
61 00:12:18.680 ⇒ 00:12:26.999 Uttam Kumaran: Yeah, so I would say one, we don’t have a shortage of people of of like engineering.
62 00:12:27.910 ⇒ 00:12:28.640 Uttam Kumaran: Valent.
63 00:12:30.640 ⇒ 00:12:35.209 Uttam Kumaran: It’s actually kind of unfortunate, because I think we have some good people, but like we don’t have the.
64 00:12:36.090 ⇒ 00:12:38.539 Uttam Kumaran: we just don’t have enough business coming in.
65 00:12:40.250 ⇒ 00:12:40.780 Amber Lin: Hmm.
66 00:12:40.780 ⇒ 00:12:41.890 Uttam Kumaran: Engineer like.
67 00:12:42.120 ⇒ 00:12:48.869 Uttam Kumaran: I think we can. I think we still need another, probably 2 or 3 clients, because Luke still has bandwidth
68 00:12:51.260 ⇒ 00:12:53.700 Uttam Kumaran: and I know Kyle has back on so.
69 00:12:56.520 ⇒ 00:12:57.070 Amber Lin: Feature.
70 00:12:57.070 ⇒ 00:12:57.690 Uttam Kumaran: Yeah.
71 00:12:59.570 ⇒ 00:13:04.037 Uttam Kumaran: So I mean, I’m I’m interviewing all the time. I just sort of don’t.
72 00:13:04.550 ⇒ 00:13:06.539 Uttam Kumaran: I just can’t pull the trigger on anybody.
73 00:13:06.540 ⇒ 00:13:07.369 Amber Lin: I see.
74 00:13:07.940 ⇒ 00:13:08.540 Uttam Kumaran: And.
75 00:13:08.540 ⇒ 00:13:11.619 Amber Lin: I assume the most urgent part would be
76 00:13:12.880 ⇒ 00:13:21.150 Amber Lin: We filled some. We are looking for someone in Pm, potentially, someone in sales. We already got someone in marketing right? So
77 00:13:22.000 ⇒ 00:13:22.850 Amber Lin: gaps.
78 00:13:22.850 ⇒ 00:13:29.419 Uttam Kumaran: Yeah, I mean, I would prefer we bring on another Pm. Before we bring on more engineers, because I do think our
79 00:13:30.120 ⇒ 00:13:34.490 Uttam Kumaran: part of the reason I don’t think our engineers can stretch is because they don’t have
80 00:13:34.690 ⇒ 00:13:40.700 Uttam Kumaran: well fleshed out tickets. Yeah. So I do think that I would rather make a Pm. Hire.
81 00:13:42.030 ⇒ 00:13:46.410 Amber Lin: 1st Great.
82 00:13:50.780 ⇒ 00:13:57.540 Uttam Kumaran: That’s probably it, although I don’t see us sticking on like salesperson. Actually, anytime soon, like
83 00:13:57.710 ⇒ 00:14:08.059 Uttam Kumaran: I, I think me and Robert can actually run this pretty sustainably. We just need the time that we need like need 3 to 4 h in the day to do that work.
84 00:14:08.060 ⇒ 00:14:08.760 Amber Lin: Yeah.
85 00:14:10.950 ⇒ 00:14:15.949 Uttam Kumaran: Cause. What’s gonna happen with the sales, I mean, I don’t know, like I think we will need one this year.
86 00:14:19.410 ⇒ 00:14:21.319 Uttam Kumaran: But it’s not the most pressing thing
87 00:14:22.130 ⇒ 00:14:23.909 Uttam Kumaran: like our sales stuff is working.
88 00:14:28.560 ⇒ 00:14:28.964 Amber Lin: Right.
89 00:14:29.370 ⇒ 00:14:34.390 Awaish Kumar: On the on the hiring side. Are we considering that intern.
90 00:14:35.804 ⇒ 00:14:43.749 Amber Lin: I think, be before as we talked about, we’re not gonna get any data or engineering interns, if we do. We were looking at Pm, so now that we’re hiring.
91 00:14:43.750 ⇒ 00:14:44.480 Awaish Kumar: Yeah.
92 00:14:44.710 ⇒ 00:14:46.429 Amber Lin: Probably gonna just hire.
93 00:14:47.900 ⇒ 00:14:48.620 Awaish Kumar: Like
94 00:14:49.510 ⇒ 00:14:57.470 Awaish Kumar: he’s a he’s an unpaid intern, and like he has worked on power. Bi could be helpful in the on on the metamor stuff.
95 00:14:57.590 ⇒ 00:14:59.899 Awaish Kumar: Maybe I don’t know.
96 00:15:04.070 ⇒ 00:15:07.890 Uttam Kumaran: Yeah, I guess like, this is where I want to have honest conversation of like, if we get an interns
97 00:15:08.610 ⇒ 00:15:10.090 Uttam Kumaran: who is going to manage.
98 00:15:12.740 ⇒ 00:15:16.100 Amber Lin: Because I’m not gonna manage the data engineering interns.
99 00:15:23.370 ⇒ 00:15:23.930 Uttam Kumaran: Yeah.
100 00:15:25.990 ⇒ 00:15:33.790 Amber Lin: And Blue Tom does not have time, so it’s probably going to be you or don’t. And I don’t know if you guys have time for that.
101 00:15:33.790 ⇒ 00:15:44.479 Awaish Kumar: But but he, he’s a data analyst intern like on the top level. I can oversee. And he can pair with any on a data analysis work right?
102 00:15:45.770 ⇒ 00:15:47.860 Amber Lin: Does Annie have capacity.
103 00:15:52.230 ⇒ 00:15:54.190 Uttam Kumaran: But I guess, do we think about it as like.
104 00:15:54.610 ⇒ 00:15:58.346 Uttam Kumaran: I guess the 1st question is like, Do we want them working on client facing work
105 00:16:03.290 ⇒ 00:16:09.300 Uttam Kumaran: like I would honestly rather them work on internal stop.
106 00:16:09.570 ⇒ 00:16:15.280 Amber Lin: I agree, and our internal stuff is more attractive to them. Anyways.
107 00:16:16.270 ⇒ 00:16:29.179 Uttam Kumaran: Like. For example, if you want to manage like an internal like as part of the data platform team, if you wanna also manage putting together dashboards on our sales. Linear operating clock 5.
108 00:16:29.360 ⇒ 00:16:31.679 Uttam Kumaran: I’m happy to be the product owner
109 00:16:32.770 ⇒ 00:16:38.309 Uttam Kumaran: for that, but I can’t lead like I can leave those.
110 00:16:38.660 ⇒ 00:16:42.060 Uttam Kumaran: I can’t leave the data platform like project management. Wise.
111 00:16:43.590 ⇒ 00:16:44.160 Awaish Kumar: Okay. Yeah.
112 00:16:45.860 ⇒ 00:16:50.370 Uttam Kumaran: I mean, what do you think like? Do you think you could deal with? Do you think you can have 2 people.
113 00:16:54.940 ⇒ 00:16:59.250 Awaish Kumar: Like on the data platform work. We. We are already
114 00:16:59.410 ⇒ 00:17:01.899 Awaish Kumar: on a phase where we are looking for
115 00:17:03.200 ⇒ 00:17:08.500 Awaish Kumar: like, maybe we build dashboards for our operations, as you mentioned.
116 00:17:09.790 ⇒ 00:17:12.410 Awaish Kumar: and there, maybe, we can utilize
117 00:17:12.880 ⇒ 00:17:19.690 Awaish Kumar: interns, capabilities instead of instead of any. Maybe she just work on clients, and
118 00:17:20.329 ⇒ 00:17:24.220 Awaish Kumar: he can help us with building dashboard for internal projects.
119 00:17:25.480 ⇒ 00:17:34.270 Uttam Kumaran: Yeah. So let me tell you, let me give you what what I what I would need for that. So I wanted I I would I kind of want dashboards on like project level
120 00:17:34.560 ⇒ 00:17:36.070 Uttam Kumaran: profitability?
121 00:17:36.170 ⇒ 00:17:40.903 Uttam Kumaran: We want dashboards on project throughput.
122 00:17:43.640 ⇒ 00:17:45.650 Uttam Kumaran: And this is gonna be linear.
123 00:17:45.780 ⇒ 00:17:48.709 Uttam Kumaran: We’re gonna want, like marketing analytics.
124 00:17:49.605 ⇒ 00:17:56.140 Uttam Kumaran: In marketing analytics, which is post hog plus manual.
125 00:17:56.540 ⇒ 00:17:56.989 Uttam Kumaran: Yeah, right?
126 00:17:56.990 ⇒ 00:18:07.789 Uttam Kumaran: And then and then that’s like, if we can get those like, that’s a great place to start.
127 00:18:10.360 ⇒ 00:18:16.179 Awaish Kumar: Okay? And and we have to figure out where to get data for for all of
128 00:18:16.590 ⇒ 00:18:18.850 Awaish Kumar: for building all of these dashboards right?
129 00:18:19.510 ⇒ 00:18:23.120 Uttam Kumaran: Yeah, I mean, I can tell you. I can tell you exactly what the dimensions and metrics are
130 00:18:24.560 ⇒ 00:18:25.549 Uttam Kumaran: so. But I just.
131 00:18:25.550 ⇒ 00:18:29.800 Awaish Kumar: Mentioned Linkedin. But, like we have Linkedin’s data in somewhere else.
132 00:18:29.800 ⇒ 00:18:31.599 Uttam Kumaran: Yeah, yeah, we do, we do, we do.
133 00:18:31.850 ⇒ 00:18:32.460 Awaish Kumar: Okay. Okay?
134 00:18:33.330 ⇒ 00:18:35.120 Awaish Kumar: Then, I think, yeah, we can.
135 00:18:37.280 ⇒ 00:18:41.500 Uttam Kumaran: I guess, like my, I guess my question would be, are you? You feel okay with it?
136 00:18:45.045 ⇒ 00:18:45.890 Awaish Kumar: Yeah.
137 00:18:46.850 ⇒ 00:18:48.819 Amber Lin: You understand, you know.
138 00:18:49.360 ⇒ 00:18:52.639 Uttam Kumaran: And then the what would you think for the interns like they would just attend the
139 00:18:52.800 ⇒ 00:18:55.070 Uttam Kumaran: whatever the data platform standups are.
140 00:18:57.355 ⇒ 00:19:04.119 Awaish Kumar: Yes, they will only attend it up platform. Maybe maybe retros that role.
141 00:19:09.740 ⇒ 00:19:12.110 Uttam Kumaran: And then I would like to pair them with a mentor.
142 00:19:13.910 ⇒ 00:19:14.860 Uttam Kumaran: That’s not you.
143 00:19:14.860 ⇒ 00:19:17.819 Amber Lin: If it’s if it’s dashboards, it’s probably Annie.
144 00:19:19.860 ⇒ 00:19:26.909 Uttam Kumaran: But like, I yeah, I mean, but I would. I wanna ask because she doesn’t want to have somebody. Then I’m not gonna
145 00:19:26.910 ⇒ 00:19:27.330 Uttam Kumaran: okay.
146 00:19:30.090 ⇒ 00:19:33.780 Uttam Kumaran: Just from last year’s experience like some like
147 00:19:34.700 ⇒ 00:19:39.649 Uttam Kumaran: you. Just I just wanna make sure that we get something out of it as well. In addition to giving back.
148 00:19:40.460 ⇒ 00:19:42.040 Uttam Kumaran: I mean, ideally.
149 00:19:42.210 ⇒ 00:19:48.639 Uttam Kumaran: Both of the folks like want to work here, and we can extend a full time offer
150 00:19:50.510 ⇒ 00:19:54.199 Uttam Kumaran: but like that’s you never know. With these things.
151 00:20:03.931 ⇒ 00:20:06.999 Hannah Wang: I also wanted to mention that we’re trying to
152 00:20:07.400 ⇒ 00:20:12.290 Hannah Wang: get a web dev because he is a bit busy.
153 00:20:12.290 ⇒ 00:20:13.970 Amber Lin: Great. That’s good to know.
154 00:20:13.970 ⇒ 00:20:14.550 Amber Lin: That’s a question.
155 00:20:14.550 ⇒ 00:20:15.030 Uttam Kumaran: Yeah.
156 00:20:15.030 ⇒ 00:20:19.339 Amber Lin: Hello, but how’s the progress on that?
157 00:20:20.560 ⇒ 00:20:27.159 Amber Lin: Yeah. So I interviewed 2 folks, and then I I guess, co-interviewed. Another.
158 00:20:27.846 ⇒ 00:20:28.899 Hannah Wang: I think.
159 00:20:29.420 ⇒ 00:20:48.880 Hannah Wang: Yeah, one of demalades connections. We interviewed them, and they seem like a good fit, or at least they have good energy. But we’re kind of waiting on them to respond with rates. And they said they come up with like a proof of concept for our website. So just waiting for them to respond back.
160 00:20:48.880 ⇒ 00:20:50.280 Uttam Kumaran: They did respond.
161 00:20:50.420 ⇒ 00:20:51.809 Hannah Wang: Oh, they did. Okay.
162 00:20:51.810 ⇒ 00:20:53.480 Uttam Kumaran: They’re kind of expensive.
163 00:20:54.340 ⇒ 00:20:57.770 Uttam Kumaran: I mean, they’re roughly anywhere from 50 to 75 an hour.
164 00:20:58.420 ⇒ 00:20:59.210 Hannah Wang: Okay.
165 00:21:02.440 ⇒ 00:21:12.239 Uttam Kumaran: I just don’t like. I don’t know the other. I’m kind of going back now like, given that price point. It’s a lot like I would rather us
166 00:21:12.950 ⇒ 00:21:16.079 Uttam Kumaran: consider just one of the folks that maybe
167 00:21:16.600 ⇒ 00:21:20.650 Uttam Kumaran: like. So you interviewed like, which folks did you interview again?
168 00:21:21.020 ⇒ 00:21:24.760 Hannah Wang: So I interviewed Shayra and then I interviewed Jay.
169 00:21:25.520 ⇒ 00:21:27.970 Uttam Kumaran: And there’s a guy like John, or something.
170 00:21:29.953 ⇒ 00:21:32.170 Hannah Wang: I don’t recall it, John.
171 00:21:34.720 ⇒ 00:21:36.539 Uttam Kumaran: J. Oh, J, okay. J. Aronda.
172 00:21:36.540 ⇒ 00:21:47.360 Hannah Wang: Yeah. Yeah. So he’s he’s the one that I said felt more experienced. But he I also told him to reach out to you for price rates, so I don’t know if you reached out yet, but.
173 00:21:47.360 ⇒ 00:21:54.603 Uttam Kumaran: Yeah. So then, if if you feel good about him, then I might get rates from him, and then maybe we just ask him to start, because I don’t want to make
174 00:21:55.170 ⇒ 00:21:59.140 Uttam Kumaran: that’s like it’s like 4. It’s like it’d be 4 or 5 grand a month.
175 00:21:59.480 ⇒ 00:22:00.500 Hannah Wang: Yeah, and.
176 00:22:00.500 ⇒ 00:22:01.180 Amber Lin: Hmm.
177 00:22:01.180 ⇒ 00:22:03.770 Uttam Kumaran: Like, I feel like they’re too big for us.
178 00:22:04.210 ⇒ 00:22:05.490 Hannah Wang: Hmm, yeah.
179 00:22:05.490 ⇒ 00:22:09.679 Uttam Kumaran: I don’t know. Like I’ll I’ll send you. I’ll send you their like. I’ll send you their proposal, but, like
180 00:22:10.780 ⇒ 00:22:18.260 Uttam Kumaran: I don’t know, I just feel like I wanted somebody more. That’s like just gonna embed themselves in our team. It seems like they want to own some more stuff.
181 00:22:18.520 ⇒ 00:22:19.620 Hannah Wang: I see?
182 00:22:20.170 ⇒ 00:22:20.940 Hannah Wang: Yeah, I think.
183 00:22:20.940 ⇒ 00:22:21.289 Uttam Kumaran: It would be.
184 00:22:21.290 ⇒ 00:22:27.450 Hannah Wang: A good fit then, like I think he’s just like, Oh, we tell him what to do, and he like, does it? Well, type of person. So.
185 00:22:27.450 ⇒ 00:22:29.275 Uttam Kumaran: Okay, okay, cool. So let me.
186 00:22:30.600 ⇒ 00:22:34.060 Uttam Kumaran: I just messaged him. Let’s note down and I’ll I’ll find a.
187 00:22:36.230 ⇒ 00:22:42.230 Amber Lin: Let me. Yeah, let me put down here to times. We get grades.
188 00:22:43.060 ⇒ 00:22:43.820 Amber Lin: Okay?
189 00:22:44.478 ⇒ 00:22:52.030 Amber Lin: What about for the Pm. Hiring for Con? Are we going forward with Khan? Or are we gonna talk to some more people.
190 00:22:56.447 ⇒ 00:23:02.990 Uttam Kumaran: I’m talking to a few more people, but I’m gonna have everyone talk to you and then talk to Alex.
191 00:23:03.570 ⇒ 00:23:03.940 Amber Lin: A lot.
192 00:23:05.106 ⇒ 00:23:09.840 Uttam Kumaran: I think I think it also could be helpful like, I don’t know. In this process we should think about
193 00:23:10.180 ⇒ 00:23:15.609 Uttam Kumaran: more recruiting, like interview sort of stuff to ask people. But it’s like
194 00:23:15.860 ⇒ 00:23:24.339 Uttam Kumaran: I have a whole books that we can read as a group and dude. It’ll be like a physics Story brand for hiring. We’ll do that at some point.
195 00:23:24.340 ⇒ 00:23:26.669 Amber Lin: Book called, I can just note it down so we don’t forget.
196 00:23:26.670 ⇒ 00:23:36.280 Uttam Kumaran: It’s called who HWOA method for hiring this guy named Jeff. Something it’s like
197 00:23:36.950 ⇒ 00:23:38.909 Uttam Kumaran: we should just follow, and so.
198 00:23:38.910 ⇒ 00:23:43.505 Amber Lin: Okay, love that because my interviews are also
199 00:23:44.450 ⇒ 00:23:50.419 Amber Lin: talking, so would love some framework to approach that with.
200 00:23:50.420 ⇒ 00:23:52.145 Hannah Wang: Yeah, me, too.
201 00:23:53.440 ⇒ 00:23:58.700 Amber Lin: Okay, I’m gonna copy and paste that link and then put it there.
202 00:23:58.700 ⇒ 00:24:02.200 Uttam Kumaran: And I don’t know. I think we should consider maybe we do. One of these book clubs a quarter.
203 00:24:02.600 ⇒ 00:24:04.179 Amber Lin: Yeah, I like that.
204 00:24:04.950 ⇒ 00:24:07.389 Uttam Kumaran: I mean we should. That book who is really, really
205 00:24:07.790 ⇒ 00:24:10.819 Uttam Kumaran: like that’s the book that you’re reading.
206 00:24:10.820 ⇒ 00:24:11.344 Amber Lin: Lovely.
207 00:24:12.430 ⇒ 00:24:17.983 Amber Lin: So that’s a professional development for management team. I like that. I’m gonna
208 00:24:20.290 ⇒ 00:24:27.450 Uttam Kumaran: I like that, too. It’s my dream. I just wanna to get paid to read books. It’s great oops.
209 00:24:28.290 ⇒ 00:24:31.400 Amber Lin: Well, someone’s got to start it.
210 00:24:33.880 ⇒ 00:24:41.300 Amber Lin: Okay, a few more folks. So pm, hiring decision, what is the timeline? I know for web development. We need it like 5.
211 00:24:41.300 ⇒ 00:24:45.069 Uttam Kumaran: Immediately. Yeah, web dev. I’ll close something by this end of this week.
212 00:24:45.850 ⇒ 00:24:46.940 Amber Lin: Alrighty.
213 00:24:47.060 ⇒ 00:24:48.769 Amber Lin: 4 Pm.
214 00:24:51.040 ⇒ 00:24:51.715 Uttam Kumaran: The
215 00:24:52.630 ⇒ 00:24:59.210 Amber Lin: Thank you like latest. When can you survive? I don’t think you should handle these many projects.
216 00:24:59.210 ⇒ 00:25:03.360 Uttam Kumaran: No, I wanna kinda do. I wanna have it by like like end of July.
217 00:25:03.360 ⇒ 00:25:09.720 Amber Lin: Okay, yeah. By then we’ll have more and bigger client projects that we’ll need a Pm. On.
218 00:25:10.030 ⇒ 00:25:16.469 Uttam Kumaran: Yeah, like, we’re pretty close to closing another 3 clients. Actually, Robert, just close 2 more. So maybe 4 or 5.
219 00:25:16.470 ⇒ 00:25:17.420 Amber Lin: Yeah.
220 00:25:18.030 ⇒ 00:25:24.990 Uttam Kumaran: Which goes to my next point of like, yeah, we really need to just guard the time that Robert and I are spending on sales because it’s working
221 00:25:27.140 ⇒ 00:25:30.509 Uttam Kumaran: But it’s like really taking a lot.
222 00:25:30.510 ⇒ 00:25:34.649 Amber Lin: Yeah, so can we talk about
223 00:25:35.630 ⇒ 00:25:36.180 Uttam Kumaran: Really.
224 00:25:36.180 ⇒ 00:25:38.649 Amber Lin: Talk about that perfect transition.
225 00:25:42.490 ⇒ 00:25:48.190 Amber Lin: So need that that.
226 00:25:48.960 ⇒ 00:25:51.710 Amber Lin: So this is good
227 00:25:54.850 ⇒ 00:25:56.260 Amber Lin: and
228 00:26:00.290 ⇒ 00:26:04.980 Amber Lin: him okay, right?
229 00:26:06.670 ⇒ 00:26:12.420 Amber Lin: So we have 2 additional.
230 00:26:13.640 ⇒ 00:26:16.279 Amber Lin: What is taking most of your time. Now, Tom.
231 00:26:18.135 ⇒ 00:26:22.819 Uttam Kumaran: Let’s look at my, yeah. Let’s look at my calendar. I mean, I think the biggest thing
232 00:26:28.975 ⇒ 00:26:32.999 Uttam Kumaran: I mean, it’s just it’s just like feel like it’s mainly
233 00:26:37.510 ⇒ 00:26:39.400 Uttam Kumaran: it’s mainly client stuff.
234 00:26:39.710 ⇒ 00:26:40.190 Amber Lin: Hmm.
235 00:26:40.190 ⇒ 00:26:46.250 Uttam Kumaran: But see, like, here’s the thing like it’s sort of like in college. When you’re like, you can just sleep or you can. What is this? Sleep? Study.
236 00:26:46.250 ⇒ 00:26:47.559 Amber Lin: Need to eat, socialize.
237 00:26:47.560 ⇒ 00:26:48.640 Uttam Kumaran: Socialize.
238 00:26:48.640 ⇒ 00:26:49.020 Amber Lin: Yeah.
239 00:26:49.020 ⇒ 00:26:50.579 Uttam Kumaran: So for me. That’s like
240 00:26:51.130 ⇒ 00:26:56.069 Uttam Kumaran: I either work on client work, I work on sales work, or I work on the company.
241 00:26:57.700 ⇒ 00:27:01.100 Uttam Kumaran: So right now I’m working on sales work, and I’m working on client work.
242 00:27:01.850 ⇒ 00:27:06.399 Uttam Kumaran: Last like week and a half. It was like I was able to get some company stuff done.
243 00:27:07.510 ⇒ 00:27:10.970 Uttam Kumaran: and I was able to do sales. It needs to be those 2.
244 00:27:10.970 ⇒ 00:27:11.770 Amber Lin: I see.
245 00:27:11.930 ⇒ 00:27:12.730 Uttam Kumaran: Yes.
246 00:27:16.570 ⇒ 00:27:29.689 Uttam Kumaran: but it, but it also that needs to reflect in like a calendar, meaning like I I just can’t like. I can go to grooming and stuff, but like, for example, I kind of want urban strength to be on rails and like demodic and start doing that a lot more. You know.
247 00:27:29.690 ⇒ 00:27:33.259 Amber Lin: Yeah, yeah, I mean, today, it went. It went all right, like.
248 00:27:33.260 ⇒ 00:27:33.690 Uttam Kumaran: Okay.
249 00:27:33.690 ⇒ 00:27:42.659 Amber Lin: I had it would help if he starts to own more like. I still have to probe him to respond, but he responds, regardless.
250 00:27:42.900 ⇒ 00:27:47.800 Uttam Kumaran: Well, then, let’s let’s talk in the let’s talk in the Pm. Tech lead stuff, and let’s make it really clear and say.
251 00:27:47.800 ⇒ 00:27:48.430 Amber Lin: Yeah.
252 00:27:48.630 ⇒ 00:27:57.359 Uttam Kumaran: I really need you to be my counterpart on these, and give me the direction, and own these especially. See what he says.
253 00:27:57.670 ⇒ 00:28:02.880 Amber Lin: Yeah, okay, I think he’s willing to. I just don’t think we made it clear yet, so don’t blame him.
254 00:28:02.880 ⇒ 00:28:04.209 Uttam Kumaran: Yeah, yeah, I agree, I agree.
255 00:28:04.810 ⇒ 00:28:06.730 Amber Lin: Yeah, okay, so
256 00:28:09.090 ⇒ 00:28:21.079 Amber Lin: why were you having to own more client stuff? Was it because the Pm function was failing a little bit? Because more issues was happening like, what was the cause that you had to.
257 00:28:23.274 ⇒ 00:28:25.395 Uttam Kumaran: I think it’s mainly like,
258 00:28:26.660 ⇒ 00:28:30.470 Uttam Kumaran: it’s just like we. Yeah, I just think we were like, close to.
259 00:28:32.730 ⇒ 00:28:41.359 Uttam Kumaran: I mean, full parts is just kind of like all over the place. But then, now it’s sort of back fine. It’s just like we’ve needed to find out where my involvement needed to be.
260 00:28:41.470 ⇒ 00:28:51.409 Uttam Kumaran: I just think, like, across this team, this management team. And then folks that are more senior like Demo A, and Miguel, we should lean on them a lot more.
261 00:28:57.070 ⇒ 00:29:00.470 Uttam Kumaran: To to maybe stretch a little bit more and take on a little bit more.
262 00:29:01.095 ⇒ 00:29:01.480 Uttam Kumaran: Okay.
263 00:29:13.700 ⇒ 00:29:14.420 Amber Lin: Right?
264 00:29:15.364 ⇒ 00:29:34.660 Amber Lin: So I think for the client stuff, it’s more of kind of all the client stuff sort of accumulated around these 2 weeks. I think now that we have the rituals in place and we have Alex, I hope that this won’t happen again, so that you can still focus on sales and the company.
265 00:29:35.270 ⇒ 00:29:36.389 Amber Lin: She’s just.
266 00:29:36.390 ⇒ 00:29:38.929 Uttam Kumaran: That’s that’s it, like. And the company stuff is like.
267 00:29:39.490 ⇒ 00:29:41.339 Amber Lin: As it will just keep going on.
268 00:29:41.490 ⇒ 00:29:49.020 Uttam Kumaran: But it’s also like that’s the promotions that’s like recruiting, that is, like financials.
269 00:29:51.390 ⇒ 00:29:53.810 Uttam Kumaran: Like org structure.
270 00:29:54.690 ⇒ 00:29:56.619 Uttam Kumaran: It’s like all this stuff, you know.
271 00:30:10.020 ⇒ 00:30:11.370 Amber Lin: okay, sounds good.
272 00:30:11.490 ⇒ 00:30:22.350 Amber Lin: Let’s talk about the different teams. Then let’s talk about we have data marketing.
273 00:30:22.800 ⇒ 00:30:27.910 Amber Lin: we have an AI and then we can talk about individual team members as well.
274 00:30:31.570 ⇒ 00:30:35.909 Amber Lin: So I wish, if you want to start anything on data platforms.
275 00:30:36.880 ⇒ 00:30:39.929 Awaish Kumar: No like we have been.
276 00:30:40.500 ⇒ 00:30:42.630 Amber Lin: Working on.
277 00:30:43.050 ⇒ 00:30:48.330 Awaish Kumar: Implement like now scanning up the the Meta plane work for all the clients.
278 00:30:49.250 ⇒ 00:30:53.169 Awaish Kumar: And Google Docs is done after. And I’ve been spiking to
279 00:30:53.330 ⇒ 00:30:56.799 Awaish Kumar: on the 2 things like one was to
280 00:30:57.030 ⇒ 00:31:01.480 Awaish Kumar: centralize the Dbt job executions for all the clients.
281 00:31:02.450 ⇒ 00:31:06.690 Awaish Kumar: Another thing was to this template thing but the source.
282 00:31:07.700 ⇒ 00:31:12.190 Awaish Kumar: And we have been like, I I think, this week
283 00:31:12.450 ⇒ 00:31:17.499 Awaish Kumar: there, there was a lot of kind work. Maybe, like the team was really
284 00:31:18.846 ⇒ 00:31:23.010 Awaish Kumar: working on the client stuff more than on the data platform work.
285 00:31:25.790 ⇒ 00:31:31.379 Awaish Kumar: Yeah, that’s overall, like there has been progress but little bit slow this week.
286 00:31:33.280 ⇒ 00:31:39.570 Uttam Kumaran: Yeah, everybody’s getting busy, right? So I don’t think we’re gonna expect, like tons of progress there.
287 00:31:40.030 ⇒ 00:31:44.459 Uttam Kumaran: But it’s good while people are on the bench. They can actually do some stuff.
288 00:31:46.100 ⇒ 00:31:51.609 Awaish Kumar: Yeah, like, at least we know if we have the capacity, we can just take these tickets like, there are
289 00:31:51.790 ⇒ 00:31:53.710 Awaish Kumar: tickets. There’s a roadmap.
290 00:31:58.640 ⇒ 00:32:01.030 Awaish Kumar: And I also, I don’t have like
291 00:32:01.150 ⇒ 00:32:05.180 Awaish Kumar: lot of data platform meetings. We just have 2, because
292 00:32:06.200 ⇒ 00:32:08.410 Awaish Kumar: I I don’t want to like.
293 00:32:09.270 ⇒ 00:32:13.130 Awaish Kumar: take a lot of time in the stand up. So we have, like the Monday and Friday.
294 00:32:13.680 ⇒ 00:32:19.550 Awaish Kumar: probably. See what we have to do this in this week, and then retro like how far we have
295 00:32:19.670 ⇒ 00:32:27.190 Awaish Kumar: breached otherwise. I’ve been had a 1 on one with the teams in the maybe, I think last week.
296 00:32:28.050 ⇒ 00:32:35.990 Awaish Kumar: and I like it. I had had the positive response, no such complaints.
297 00:32:37.546 ⇒ 00:32:44.859 Awaish Kumar: on the set, yeah, but on the dbd certification side, I haven’t seen, many people have registered. So I don’t know.
298 00:32:45.620 ⇒ 00:32:47.759 Uttam Kumaran: How to get them to register.
299 00:32:49.930 ⇒ 00:32:51.840 Uttam Kumaran: Yeah, who who’s registered so far.
300 00:32:54.040 ⇒ 00:33:00.899 Awaish Kumar: Factor, and that like in the meeting. And then in that meeting where we have to tell.
301 00:33:01.350 ⇒ 00:33:09.700 Awaish Kumar: like, everybody has to share the status. But like almost nobody was there, only the demo, he said.
302 00:33:09.860 ⇒ 00:33:13.750 Awaish Kumar: I will do it, and I think you you mentioned that you will do it.
303 00:33:15.600 ⇒ 00:33:18.419 Awaish Kumar: Apart from that like nobody joined so.
304 00:33:20.910 ⇒ 00:33:21.950 Amber Lin: Nice to see you.
305 00:33:21.950 ⇒ 00:33:28.669 Uttam Kumaran: I mean, I I know that people are interested in. I wonder if it’s like, should I? Just should I just get it and pay for them or like.
306 00:33:29.410 ⇒ 00:33:36.690 Uttam Kumaran: I just think it’s so hard, because there’s no like study like there’s no like course, right.
307 00:33:36.690 ⇒ 00:33:37.075 Awaish Kumar: And
308 00:33:38.190 ⇒ 00:33:39.325 Uttam Kumaran: It’s kind of brutal.
309 00:33:39.950 ⇒ 00:33:43.599 Awaish Kumar: Yeah, can. Maybe we can have one course
310 00:33:44.220 ⇒ 00:33:47.960 Awaish Kumar: and then share with everybody like maybe on on Odemi or something.
311 00:33:50.330 ⇒ 00:33:51.699 Uttam Kumaran: Yeah, maybe.
312 00:33:51.960 ⇒ 00:33:59.809 Awaish Kumar: On Amy. We have short courses. Right? We have, like one common benforge email, where you create.
313 00:34:00.230 ⇒ 00:34:03.460 Awaish Kumar: get the subscription. And everybody can just read from there.
314 00:34:29.790 ⇒ 00:34:30.380 Amber Lin: No, no!
315 00:34:31.000 ⇒ 00:34:31.520 Amber Lin: But.
316 00:34:31.520 ⇒ 00:34:38.307 Awaish Kumar: And and another way could be that we follow Dvt. Study guide, and every week
317 00:34:39.280 ⇒ 00:34:42.380 Awaish Kumar: When we are hosting, maybe in office hours we
318 00:34:43.639 ⇒ 00:34:47.949 Awaish Kumar: like we assign, like the host, should go on and share the
319 00:34:49.260 ⇒ 00:34:53.379 Awaish Kumar: what has been like. He has been reading about that topic and
320 00:34:53.750 ⇒ 00:34:56.649 Awaish Kumar: and share it with the team. Right? Things like that.
321 00:34:58.480 ⇒ 00:35:04.260 Uttam Kumaran: Yeah, or maybe we should. Just is there is there a sample exam? Maybe we should just go through the exam like on the meeting
322 00:35:04.690 ⇒ 00:35:07.419 Uttam Kumaran: like, pick 10 questions and go through it together.
323 00:35:08.610 ⇒ 00:35:12.379 Awaish Kumar: Yeah, like, there’s no such exam in
324 00:35:13.470 ⇒ 00:35:19.279 Awaish Kumar: in a Pdf, but I saw in a U on Youtube, like, there’s a channel which has like 10,
325 00:35:19.740 ⇒ 00:35:21.510 Awaish Kumar: 20 videos.
326 00:35:22.230 ⇒ 00:35:26.460 Awaish Kumar: And it it shows the sample questions which come in the DVD exam.
327 00:35:37.760 ⇒ 00:35:39.939 Amber Lin: I mean, let’s list out, whoever.
328 00:35:40.650 ⇒ 00:35:41.839 Amber Lin: So we have.
329 00:35:43.220 ⇒ 00:35:48.250 Amber Lin: I know Luke’s Annie Diagnolades.
330 00:35:49.370 ⇒ 00:35:53.359 Amber Lin: I kind of said that, but I don’t think I’ll have time for that.
331 00:35:53.480 ⇒ 00:36:02.430 Amber Lin: I rather do the Pm. Certification now, so consider me out of it. I would love to. I just don’t have time. Who else.
332 00:36:02.430 ⇒ 00:36:04.930 Uttam Kumaran: And I think the question mark is on I/O.
333 00:36:07.810 ⇒ 00:36:12.879 Uttam Kumaran: I honestly think question. Mark is also on Amy, because it’s like it’s a lot to learn.
334 00:36:16.720 ⇒ 00:36:20.609 Uttam Kumaran: So when’s our next meeting on this? We can talk about it with everybody.
335 00:36:22.910 ⇒ 00:36:24.990 Awaish Kumar: We have this, I think.
336 00:36:27.860 ⇒ 00:36:29.670 Awaish Kumar: Let’s see, I don’t know.
337 00:36:35.350 ⇒ 00:36:38.179 Amber Lin: I think the problem is that I don’t know if they join.
338 00:36:38.180 ⇒ 00:36:39.310 Awaish Kumar: I mean, if it’s.
339 00:36:39.310 ⇒ 00:36:42.880 Amber Lin: If it’s if it’s just 3 people none.
340 00:36:43.220 ⇒ 00:36:45.610 Amber Lin: it should be a lot easier.
341 00:36:45.780 ⇒ 00:36:49.700 Amber Lin: We just individually talk to these people.
342 00:36:50.950 ⇒ 00:36:55.780 Amber Lin: because if it’s just 4. It’s not a big, huge initiative.
343 00:37:11.490 ⇒ 00:37:14.050 Awaish Kumar: Could I go ahead and talk to them individually.
344 00:37:14.500 ⇒ 00:37:15.240 Uttam Kumaran: Yeah.
345 00:37:15.720 ⇒ 00:37:16.160 Awaish Kumar: Okay.
346 00:37:16.160 ⇒ 00:37:16.950 Uttam Kumaran: Confirm.
347 00:37:18.010 ⇒ 00:37:18.720 Awaish Kumar: Okay.
348 00:37:18.880 ⇒ 00:37:23.619 Uttam Kumaran: And just ask them also, like how they learn and like, how we can help do this. And like.
349 00:37:23.980 ⇒ 00:37:28.379 Uttam Kumaran: yeah, we can lock this down because I’m I’m not gonna be for me.
350 00:37:28.990 ⇒ 00:37:34.002 Uttam Kumaran: I’m gonna cram right before the test. It’s gonna go for me. So
351 00:37:34.640 ⇒ 00:37:38.229 Uttam Kumaran: I also have been doing DVD. For a long time, so.
352 00:37:38.230 ⇒ 00:37:43.749 Amber Lin: And I feel like most of the people who’s gonna take this course or take this exam already knows DVD,
353 00:37:44.050 ⇒ 00:37:51.639 Amber Lin: it’s Kyle Annie, and if me, who would take it, who needs a lot of study, I think the rest of you. It’s a lot of EA lot easier for you.
354 00:37:59.700 ⇒ 00:38:01.530 Amber Lin: Okay, we have a next step.
355 00:38:01.530 ⇒ 00:38:01.960 Awaish Kumar: Everyone.
356 00:38:02.214 ⇒ 00:38:08.829 Amber Lin: We’ll implement that. We’ll see how it goes. Let’s talk about marketing. I know Hannah put a few things down there. I’m gonna move them up.
357 00:38:09.636 ⇒ 00:38:11.719 Amber Lin: Yeah, we’ll go through them.
358 00:38:13.340 ⇒ 00:38:17.219 Hannah Wang: Yeah, I’m looking at my notes.
359 00:38:19.250 ⇒ 00:38:28.859 Hannah Wang: Well, team member update. That’s not for my team. I was just yeah about Marianne. Just curious, I guess. Like, what what’s been happening.
360 00:38:28.860 ⇒ 00:38:32.249 Uttam Kumaran: Yeah, I’m not sure I just. She hasn’t been online.
361 00:38:32.460 ⇒ 00:38:32.930 Hannah Wang: Yeah.
362 00:38:32.930 ⇒ 00:38:38.959 Uttam Kumaran: And I she there was no indication that she was going to be offline or like vacation.
363 00:38:40.600 ⇒ 00:38:43.120 Uttam Kumaran: So I don’t know I we’ve I asked.
364 00:38:43.670 ⇒ 00:38:47.420 Uttam Kumaran: I asked Miguel to like
365 00:38:47.980 ⇒ 00:38:52.159 Uttam Kumaran: this like message, because he’s local, and I sent some messages on Whatsapp.
366 00:38:52.370 ⇒ 00:38:53.967 Uttam Kumaran: So not sure.
367 00:38:54.500 ⇒ 00:38:55.230 Hannah Wang: Okay.
368 00:38:57.530 ⇒ 00:38:59.600 Hannah Wang: Okay, yeah.
369 00:39:00.255 ⇒ 00:39:03.510 Hannah Wang: That’s just like a bit strange. Because Marianne’s like, pretty.
370 00:39:03.510 ⇒ 00:39:05.300 Uttam Kumaran: Yeah. So that’s why I was like.
371 00:39:05.821 ⇒ 00:39:13.300 Uttam Kumaran: I don’t like, I, yeah. So I don’t know. I I sent an email. I sent a message on Whatsapp. I call on Whatsapp.
372 00:39:15.580 ⇒ 00:39:17.000 Uttam Kumaran: So I’m not sure.
373 00:39:17.410 ⇒ 00:39:18.130 Hannah Wang: Okay.
374 00:39:18.590 ⇒ 00:39:19.049 Uttam Kumaran: I mean, like.
375 00:39:19.050 ⇒ 00:39:19.640 Hannah Wang: Like.
376 00:39:20.080 ⇒ 00:39:25.429 Uttam Kumaran: Yeah, operationally, it’s kind of brutal, because I have to do all this like, it’s another like.
377 00:39:25.430 ⇒ 00:39:26.020 Hannah Wang: Cool.
378 00:39:26.190 ⇒ 00:39:30.740 Uttam Kumaran: I think it’s like another like hour of like contracts and stuff I have to do every day now.
379 00:39:31.359 ⇒ 00:39:34.850 Uttam Kumaran: Which is fine. But I’m also just like worried. So.
380 00:39:34.850 ⇒ 00:39:40.718 Hannah Wang: Yeah, yeah. Okay. Yeah. I guess for marketing.
381 00:39:41.920 ⇒ 00:39:57.402 Hannah Wang: I think it’s been good having ray join at least on the content video side, so that that takes off a lot from Ryan so he can focus on like just the other many things that he’s working on.
382 00:39:57.920 ⇒ 00:40:10.289 Hannah Wang: And then, yeah, the whole like story brand initiative thing. I think think it’s a bit slow. It’s just hard to get people on board. I mean, this is kind of similar to like the Dbt stuff. You can’t like force
383 00:40:10.440 ⇒ 00:40:15.779 Hannah Wang: people to do it, but you can encourage them. So we had our 1st meeting today, which I thought.
384 00:40:16.220 ⇒ 00:40:20.370 Hannah Wang: that book is really helpful. So hopefully, like.
385 00:40:21.090 ⇒ 00:40:31.682 Hannah Wang: yeah, people will be involved in that. And then I think that’ll help a lot with like our website, redesign and just improve our assets overall.
386 00:40:32.280 ⇒ 00:40:33.186 Hannah Wang: and then.
387 00:40:34.330 ⇒ 00:40:46.389 Hannah Wang: I think or I guess, just another small update on. And she like messaged me and utam personally, and said she was just going through some personal things. So yeah, I feel like a lot of
388 00:40:46.530 ⇒ 00:40:50.508 Hannah Wang: these things, just maybe with Marianne, too. That’s what’s happening. But
389 00:40:51.620 ⇒ 00:40:55.929 Hannah Wang: She mentioned that, or she just like apologize if she felt like.
390 00:40:56.090 ⇒ 00:41:03.159 Hannah Wang: yeah, not as proactive or wasn’t working, or it seemed like she wasn’t working as hard, which I didn’t really sense. I thought she was.
391 00:41:03.160 ⇒ 00:41:06.600 Uttam Kumaran: I mean, I I saw that like tickets weren’t going. But we yeah
392 00:41:06.600 ⇒ 00:41:08.699 Uttam Kumaran: been like sprinting for like 6 weeks. So.
393 00:41:08.700 ⇒ 00:41:09.064 Hannah Wang: Yeah.
394 00:41:09.430 ⇒ 00:41:13.050 Uttam Kumaran: That’s where, like, I have a lot of great like, I don’t. I don’t sort of
395 00:41:13.250 ⇒ 00:41:16.723 Uttam Kumaran: sound alarm unless like things really slip.
396 00:41:17.220 ⇒ 00:41:17.620 Hannah Wang: Yeah.
397 00:41:17.888 ⇒ 00:41:23.249 Hannah Wang: because I know we all go through things right like, even like I was traveling the other week. And so
398 00:41:23.680 ⇒ 00:41:27.679 Uttam Kumaran: Life. Life happens like we. I think we push each other a lot. But
399 00:41:28.080 ⇒ 00:41:31.649 Uttam Kumaran: it’s it’s things like that happen and family, and whatever. So.
400 00:41:31.650 ⇒ 00:41:32.080 Hannah Wang: Yeah.
401 00:41:32.080 ⇒ 00:41:38.789 Uttam Kumaran: We just want to show some grace. It does. But yeah, that was, you know. I’m glad that she felt comfortable to reach out to us.
402 00:41:39.240 ⇒ 00:41:48.760 Hannah Wang: Yeah, I thought that was like a good sign that she felt like she could trust us with that information. I was thankful that she reached out. And just so that we know
403 00:41:49.650 ⇒ 00:41:51.789 Hannah Wang: But yeah, I think that’s
404 00:41:52.200 ⇒ 00:42:00.610 Hannah Wang: that’s about it. I don’t know if that stuff is still ongoing for her, but seems like she is online more nowadays and working so.
405 00:42:00.910 ⇒ 00:42:07.430 Amber Lin: What about Ryan? I know before he was a bit overwhelmed. Is he so like at risk of burnout.
406 00:42:08.710 ⇒ 00:42:10.699 Uttam Kumaran: No, I think he’s fine now.
407 00:42:12.131 ⇒ 00:42:19.770 Uttam Kumaran: Yeah, I’m working a lot closer with him. And I also think like this, because our we’re actually doing a lot of stuff that he wanted me to do a long time ago.
408 00:42:20.440 ⇒ 00:42:34.460 Uttam Kumaran: It’s it’s working. And and also like he’s more of like a he’s a good. He’s actually is a good like leader like I think he’s leading Ray. He’s really self sufficient. And so if we found sort of like the area in which he is really good at leading.
409 00:42:34.460 ⇒ 00:42:35.020 Amber Lin: Okay.
410 00:42:36.500 ⇒ 00:42:46.950 Uttam Kumaran: you know. So like I I think it’s pretty good. I mean, I I think we’ll as we start to do more and more. I think he’s starting to come out of his shell more. And I think he’s really interested in
411 00:42:47.060 ⇒ 00:42:50.070 Uttam Kumaran: in our progression. And so yeah, it’s it’s been a lot better.
412 00:42:51.240 ⇒ 00:43:03.560 Hannah Wang: Yeah, he’s been like, I know, ever since I 1st joined his kind of mantra was. I’ll get a time to post on Linkedin. So now that we’re doing that, I think that’s like his kind of bread and butter, and he enjoys doing that. So
413 00:43:03.840 ⇒ 00:43:05.019 Hannah Wang: yeah, I think I think.
414 00:43:05.020 ⇒ 00:43:05.780 Amber Lin: Awesome.
415 00:43:05.780 ⇒ 00:43:06.680 Hannah Wang: Good. Yeah.
416 00:43:07.080 ⇒ 00:43:10.689 Amber Lin: I’m great feeling he’s a new team member. How’s he doing.
417 00:43:12.850 ⇒ 00:43:14.399 Hannah Wang: I think he’s great. Yeah.
418 00:43:14.400 ⇒ 00:43:15.159 Uttam Kumaran: Yeah, I do.
419 00:43:15.160 ⇒ 00:43:15.700 Hannah Wang: Yeah, I don’t know.
420 00:43:15.700 ⇒ 00:43:18.739 Uttam Kumaran: But like, I think we’re, gonna I think I’m interested to see if he’s
421 00:43:18.940 ⇒ 00:43:22.349 Uttam Kumaran: interested in learning other skill sets, because I don’t know
422 00:43:22.680 ⇒ 00:43:24.860 Uttam Kumaran: long run. If we’re gonna have like
423 00:43:25.210 ⇒ 00:43:31.350 Uttam Kumaran: tons and tons of video work, I mean, maybe like, maybe if we start to do more, but like
424 00:43:31.570 ⇒ 00:43:33.980 Uttam Kumaran: I’d be interested to see how he can stretch Hannah.
425 00:43:34.350 ⇒ 00:43:35.080 Hannah Wang: Hmm.
426 00:43:35.660 ⇒ 00:43:43.029 Hannah Wang: yeah, I just don’t know like what else he does, and also like how much he’s willing to work like how many hours
427 00:43:43.350 ⇒ 00:43:43.980 Uttam Kumaran: Correct.
428 00:43:44.310 ⇒ 00:43:45.200 Hannah Wang: So
429 00:43:45.450 ⇒ 00:43:50.910 Hannah Wang: yeah, we can kind of evaluate that once. If he has like nothing to work on, we can kinda
430 00:43:51.070 ⇒ 00:43:57.219 Hannah Wang: ask him or ask Ryan to talk with him about it, because I know Ryan worked with him in the past. So
431 00:43:57.690 ⇒ 00:43:58.235 Hannah Wang: yeah.
432 00:43:59.350 ⇒ 00:44:00.890 Amber Lin: Hmm, awesome.
433 00:44:02.520 ⇒ 00:44:05.649 Amber Lin: Yeah, let’s continue anything else in marketing.
434 00:44:09.160 ⇒ 00:44:09.819 Amber Lin: Like, what.
435 00:44:10.890 ⇒ 00:44:21.499 Hannah Wang: No, I don’t think so. Just yeah, need that web dev. So we can do like the AI Demo site and just wrap up a couple website tickets that we have in blocked.
436 00:44:21.610 ⇒ 00:44:25.239 Hannah Wang: But yeah, I know we’re working on that right now.
437 00:44:25.490 ⇒ 00:44:29.729 Uttam Kumaran: The website is getting a lot more viewers. We’re averaging like 60 to 80 users a day. Now.
438 00:44:30.140 ⇒ 00:44:30.550 Hannah Wang: Yeah.
439 00:44:30.550 ⇒ 00:44:31.790 Amber Lin: Wow! That’s so exciting.
440 00:44:31.790 ⇒ 00:44:38.140 Uttam Kumaran: We’re really, we’re really. So. There’s 2 in 2 ways. We’re growing. SEO is growing like pretty consistently.
441 00:44:39.170 ⇒ 00:44:44.300 Uttam Kumaran: In fact, like way faster than I than I thought.
442 00:44:44.540 ⇒ 00:44:49.639 Uttam Kumaran: Also, I’ll put in a screenshot. But if you’re in the if you’re in the internal analytics channel.
443 00:44:50.588 ⇒ 00:44:53.699 Uttam Kumaran: You can see it. But this is our
444 00:44:56.890 ⇒ 00:44:59.509 Uttam Kumaran: So this is our performance on Google, search.
445 00:45:02.220 ⇒ 00:45:13.819 Uttam Kumaran: as you can see, like the number of impressions are going up a lot meaning like, we’re starting to be seeing a lot more on a lot of different types of searches. And we haven’t paid for any of this traffic, which is really really great.
446 00:45:14.170 ⇒ 00:45:16.649 Uttam Kumaran: The web traffic is also going up.
447 00:45:18.130 ⇒ 00:45:22.839 Uttam Kumaran: I think the biggest, probably hole here is. We don’t have anyone owning like the analytics
448 00:45:23.210 ⇒ 00:45:25.650 Uttam Kumaran: for the site.
449 00:45:25.790 ⇒ 00:45:31.499 Uttam Kumaran: This is where I think ideally, this falls under data platform work, I know and wanted to do it, but
450 00:45:31.810 ⇒ 00:45:34.800 Uttam Kumaran: I think I would have to really sit with Ann to teach her.
451 00:45:35.220 ⇒ 00:45:35.840 Hannah Wang: Yeah.
452 00:45:37.830 ⇒ 00:45:41.789 Uttam Kumaran: So whether if she joins and does helps update a platform a bit
453 00:45:42.110 ⇒ 00:45:44.129 Uttam Kumaran: or discuss an intern, that’d be great.
454 00:45:44.300 ⇒ 00:45:53.320 Uttam Kumaran: But yeah, so this is resulting in a lot of people coming to the site. Similarly, Linkedin is really growing. I think we’ve done a good job at posting on the weekends.
455 00:45:53.961 ⇒ 00:46:01.720 Uttam Kumaran: The next biggest thing is to activate amber. Your Clinton, and Roberts is honestly the biggest one.
456 00:46:03.428 ⇒ 00:46:09.179 Uttam Kumaran: So I want to see how you guys can leverage our process that’s working for us now
457 00:46:09.580 ⇒ 00:46:21.599 Uttam Kumaran: to sort of applying on a topic. Have Ryan do the 1st draft edit review, and then we get it posted and scheduled. The 3 of us are posting 7 days a week, or at least 3 or 4 times a week.
458 00:46:24.000 ⇒ 00:46:31.200 Amber Lin: Yeah, I know, Ryan. I think he booked a session for us later today. Don’t know if that’s happening, but that’ll be good.
459 00:46:31.200 ⇒ 00:46:33.020 Uttam Kumaran: It’s happening. It’s happening great.
460 00:46:35.080 ⇒ 00:46:38.730 Amber Lin: Okay, that’s very. That’s that’s awesome.
461 00:46:39.420 ⇒ 00:46:55.649 Amber Lin: Just before we go to AI team kind of wanted to look at how the team members are doing on a data team. So I guess we just we just have Duke Demotic, how? And Annie, anyone you think is struggling, doing great
462 00:46:56.020 ⇒ 00:46:57.360 Amber Lin: needing help.
463 00:47:00.800 ⇒ 00:47:02.610 Uttam Kumaran: And probably more question for a wish.
464 00:47:04.590 ⇒ 00:47:09.400 Awaish Kumar: Yeah, like, I already answered that that, like.
465 00:47:09.540 ⇒ 00:47:13.649 Awaish Kumar: team members look like they have. I think, more client work.
466 00:47:13.890 ⇒ 00:47:17.490 Awaish Kumar: Damnar is busy on a lot of work from adding.
467 00:47:18.270 ⇒ 00:47:23.920 Awaish Kumar: and he’s jumping across clients. So Kyle has got urban stem. So everybody is
468 00:47:24.040 ⇒ 00:47:25.960 Awaish Kumar: happy in what they are doing.
469 00:47:27.490 ⇒ 00:47:35.050 Awaish Kumar: And like, so far I have. I don’t. I didn’t receive any kind of reservations from there.
470 00:47:35.240 ⇒ 00:47:42.609 Amber Lin: I see from my observation. Kyle and terminology now has more like Kyle has more work now.
471 00:47:43.399 ⇒ 00:47:48.509 Amber Lin: I think he’s pretty happy about that. I think Luke doesn’t have a lot of work.
472 00:47:50.850 ⇒ 00:47:53.247 Uttam Kumaran: But he’s working on data platform stuff.
473 00:47:54.780 ⇒ 00:47:55.530 Uttam Kumaran: Yeah.
474 00:47:57.464 ⇒ 00:48:02.730 Amber Lin: We have 4 parts in the data side, and, madam, one
475 00:48:04.440 ⇒ 00:48:10.370 Amber Lin: which has not been too big of workload.
476 00:48:11.750 ⇒ 00:48:17.159 Awaish Kumar: Yeah. But he has been working on data platform work. So quite a bit.
477 00:48:17.990 ⇒ 00:48:18.710 Awaish Kumar: Yeah.
478 00:48:19.890 ⇒ 00:48:22.220 Amber Lin: Okay, okay.
479 00:48:22.490 ⇒ 00:48:26.790 Amber Lin: Annie’s on Eden Matamore.
480 00:48:28.340 ⇒ 00:48:32.729 Amber Lin: No, not really, ABC, but ABC, regardless.
481 00:48:32.880 ⇒ 00:48:35.310 Amber Lin: You’ve been urban stamps.
482 00:48:35.500 ⇒ 00:48:36.300 Amber Lin: Hold on.
483 00:48:36.690 ⇒ 00:48:37.710 Amber Lin: I think that’s good.
484 00:48:38.630 ⇒ 00:48:43.149 Uttam Kumaran: Do we talk for full parts? Are we still gonna do like monthly updates and stuff or.
485 00:48:43.150 ⇒ 00:48:52.100 Amber Lin: Yeah, I was, gonna I was gonna ask, I don’t really know what’s what’s going on. Because it was Dan and Ben didn’t really want to talk. They wanted to talk directly to you.
486 00:48:52.850 ⇒ 00:48:53.690 Uttam Kumaran: Okay.
487 00:48:55.810 ⇒ 00:49:00.679 Amber Lin: No, that’s my observation. If they’re willing to do monthly updates, I would I would love to.
488 00:49:02.550 ⇒ 00:49:05.420 Uttam Kumaran: Okay, well, let’s plan one for this month, and then we can.
489 00:49:05.420 ⇒ 00:49:06.160 Amber Lin: Okay.
490 00:49:06.890 ⇒ 00:49:07.640 Amber Lin: Yeah.
491 00:49:07.640 ⇒ 00:49:08.869 Uttam Kumaran: Monthly is much better.
492 00:49:14.055 ⇒ 00:49:14.550 Amber Lin: okay.
493 00:49:14.830 ⇒ 00:49:15.440 Uttam Kumaran: Okay.
494 00:49:15.440 ⇒ 00:49:19.329 Amber Lin: Great how much time do we have?
495 00:49:20.370 ⇒ 00:49:22.380 Amber Lin: Oh, dear! Running out of time?
496 00:49:23.330 ⇒ 00:49:25.850 Amber Lin: Quick! Updates on the AI team.
497 00:49:27.280 ⇒ 00:49:32.080 Uttam Kumaran: Yeah, I mean, stuff is stuff is going well, where we did it. We’ve been nailed
498 00:49:32.380 ⇒ 00:49:32.770 Amber Lin: That’s.
499 00:49:32.770 ⇒ 00:49:36.339 Uttam Kumaran: All of the core enrichment processes for Robert so.
500 00:49:36.340 ⇒ 00:49:36.670 Amber Lin: Hmm.
501 00:49:36.670 ⇒ 00:49:41.479 Uttam Kumaran: He submits an account, we enrich it. We get the people. It gets into a reach
502 00:49:41.590 ⇒ 00:49:44.449 Uttam Kumaran: technology based and event based. So.
503 00:49:45.050 ⇒ 00:49:45.450 Amber Lin: That’s good.
504 00:49:45.450 ⇒ 00:49:50.379 Uttam Kumaran: To go, and Mustafas crushing it. So he’s really really bad.
505 00:49:50.380 ⇒ 00:49:51.260 Amber Lin: Okay.
506 00:49:51.540 ⇒ 00:49:58.499 Uttam Kumaran: Amazing. That the zoom work is has gone really? Well.
507 00:49:59.251 ⇒ 00:50:00.978 Uttam Kumaran: I think my only
508 00:50:01.570 ⇒ 00:50:08.549 Uttam Kumaran: ask would be for this team to really lean in and ask for. Tell me things that would say save you time.
509 00:50:09.200 ⇒ 00:50:21.409 Uttam Kumaran: Don’t worry about if it’s obviously autumn, like automatable. But just tell me if there are things that you’re doing on a daily basis or weekly basis that you want automated, we will tackle it
510 00:50:21.976 ⇒ 00:50:25.170 Uttam Kumaran: as you can tell, the zoom work is going like, we’re gonna
511 00:50:25.780 ⇒ 00:50:28.229 Uttam Kumaran: the linear stuff should be out today.
512 00:50:28.440 ⇒ 00:50:29.050 Uttam Kumaran: Yeah.
513 00:50:29.910 ⇒ 00:50:46.450 Uttam Kumaran: So going from. And I think, Hannah, this should help you. And anyone who’s basically doing tickets. So you’ll be able to go into there that the AI will automatically generate linear tickets. You can then pick on the ones you want to create or edit them and then create them directly from that ui
514 00:50:49.120 ⇒ 00:50:50.160 Amber Lin: So exciting.
515 00:50:50.520 ⇒ 00:50:53.680 Uttam Kumaran: And then just tell me what else we need like. Tell me anything else.
516 00:50:54.090 ⇒ 00:50:57.060 Uttam Kumaran: Yeah, any other opportunities we have.
517 00:51:04.340 ⇒ 00:51:06.090 Amber Lin: They see a poll?
518 00:51:08.170 ⇒ 00:51:09.830 Amber Lin: Okay.
519 00:51:13.090 ⇒ 00:51:13.760 Amber Lin: not?
520 00:51:17.220 ⇒ 00:51:19.390 Amber Lin: How is Casey and Miguel doing?
521 00:51:20.160 ⇒ 00:51:24.619 Uttam Kumaran: They’re good. I think I think they’re both doing well. I mean, the only thing is I wanna buy.
522 00:51:24.860 ⇒ 00:51:27.389 Uttam Kumaran: I wanna get some people some better equipment.
523 00:51:27.620 ⇒ 00:51:28.170 Amber Lin: Okay.
524 00:51:28.479 ⇒ 00:51:34.660 Uttam Kumaran: Like. I don’t know any. I want all our core people that are developing to at least have a monitor
525 00:51:35.530 ⇒ 00:51:37.669 Uttam Kumaran: like a wish. Are you running on? Monitor?
526 00:51:39.342 ⇒ 00:51:40.790 Uttam Kumaran: No. Laptop.
527 00:51:41.640 ⇒ 00:51:45.509 Uttam Kumaran: Yeah, yeah. I wanna get everyone. I wanna get all the core folks monitors.
528 00:51:46.070 ⇒ 00:51:47.920 Uttam Kumaran: I also want to get a
529 00:51:48.350 ⇒ 00:51:53.140 Uttam Kumaran: like I wanna get the folks who are doing a lot of talking better headsets.
530 00:51:54.640 ⇒ 00:52:02.157 Uttam Kumaran: So I wanna carve out some budget for that like next quarter especially for Ryan.
531 00:52:03.520 ⇒ 00:52:13.809 Uttam Kumaran: And then yeah, for you away, like anyone who’s leading or or talking a lot. I want you guys to have good equipment to do that. So you don’t have to worry about background noise or whatever. So
532 00:52:14.430 ⇒ 00:52:21.529 Uttam Kumaran: that’s the only thing for me. Otherwise they’re crushing like those guys. If I just give them, I’m give. If I give them 7 h of no meetings like they’re doing. They’re fine.
533 00:52:22.890 ⇒ 00:52:23.810 Amber Lin: Awesome.
534 00:52:24.266 ⇒ 00:52:26.430 Amber Lin: That is great. Let me move that.
535 00:52:26.430 ⇒ 00:52:30.890 Uttam Kumaran: I just need more. I just need more work. So just give me more stuff to automate.
536 00:52:31.090 ⇒ 00:52:34.560 Amber Lin: Great. Okay, we’ll need more work.
537 00:52:37.510 ⇒ 00:52:38.349 Amber Lin: That’s the best.
538 00:52:38.350 ⇒ 00:52:38.790 Uttam Kumaran: It’s only.
539 00:52:38.790 ⇒ 00:52:39.289 Amber Lin: We can hear.
540 00:52:39.290 ⇒ 00:52:41.100 Uttam Kumaran: It’s so it’s a homely team
541 00:52:41.470 ⇒ 00:52:45.269 Uttam Kumaran: where I’m like, I wanna I wanna keep pushing them to do stuff.
542 00:52:48.625 ⇒ 00:52:49.390 Amber Lin: Okay.
543 00:52:49.390 ⇒ 00:52:54.970 Awaish Kumar: So are are we considering the generating daily summaries for clients.
544 00:52:55.400 ⇒ 00:52:57.790 Uttam Kumaran: Yeah, we’re doing that. That’s on the roadmap already.
545 00:52:57.970 ⇒ 00:52:58.660 Amber Lin: Hmm.
546 00:52:58.900 ⇒ 00:52:59.250 Awaish Kumar: But.
547 00:52:59.250 ⇒ 00:53:07.189 Uttam Kumaran: So we’re gonna generate week daily, and we can generate daily and weekly summaries. We’re also gonna do the like fall through the crack spot.
548 00:53:07.400 ⇒ 00:53:17.660 Uttam Kumaran: So any any tasks that are have been talked about that like isn’t already a ticket or like hasn’t been responded to, the the bot would automatically resurface them.
549 00:53:18.810 ⇒ 00:53:26.619 Awaish Kumar: And by summaries, do you mean, the only the updates about what we are doing? Or is it about data.
550 00:53:27.590 ⇒ 00:53:34.239 Uttam Kumaran: Oh, we can also, we can also do the data one. But this is where, like, I would
551 00:53:34.680 ⇒ 00:53:40.369 Uttam Kumaran: if we want to. Bill, start building something around data analysis. Then maybe we could do a larger Prd on it.
552 00:53:41.450 ⇒ 00:53:42.140 Awaish Kumar: Hmm.
553 00:53:42.820 ⇒ 00:53:45.230 Uttam Kumaran: The real Mcp server is working.
554 00:53:48.150 ⇒ 00:53:48.900 Awaish Kumar: Okay.
555 00:53:54.490 ⇒ 00:54:02.790 Amber Lin: Okay, exciting. I don’t know how much time you guys have. Let me run through all the clients, all the client hubs.
556 00:54:02.950 ⇒ 00:54:06.920 Amber Lin: So first, st let me update you guys on the Pm. Stuff. So
557 00:54:07.090 ⇒ 00:54:17.150 Amber Lin: last week or last 2 weeks last week into particular, I think all the clients have gone to a point where the problems has been surfaced.
558 00:54:17.620 ⇒ 00:54:24.960 Amber Lin: But they have. We have started to fix them this week. So they’re getting back on track, and we’re resetting the
559 00:54:26.270 ⇒ 00:54:37.099 Amber Lin: resetting rituals. With the help of Alex, we’ll hire mid level.
560 00:54:37.510 ⇒ 00:54:38.956 Amber Lin: Yeah. Okay?
561 00:54:44.893 ⇒ 00:54:48.080 Amber Lin: The last we have.
562 00:54:48.560 ⇒ 00:54:49.780 Amber Lin: So let’s see.
563 00:54:49.900 ⇒ 00:54:50.960 Amber Lin: True.
564 00:54:51.620 ⇒ 00:54:55.250 Amber Lin: Yeah, this week heading.
565 00:54:57.140 ⇒ 00:55:08.750 Amber Lin: And then and I think we’re gonna build out function, build out how tech lead and pm.
566 00:55:09.040 ⇒ 00:55:16.500 Amber Lin: divide roles. And I guess I remember what time you said there was a few other roles that we wanted to think about.
567 00:55:18.175 ⇒ 00:55:20.050 Uttam Kumaran: The account. The account owner.
568 00:55:20.050 ⇒ 00:55:21.160 Amber Lin: Owner.
569 00:55:21.680 ⇒ 00:55:23.560 Uttam Kumaran: And the rest of that team.
570 00:55:24.640 ⇒ 00:55:31.509 Uttam Kumaran: And then like sales, basically like, how did when a new client happens like.
571 00:55:31.510 ⇒ 00:55:32.030 Amber Lin: Better.
572 00:55:32.030 ⇒ 00:55:34.249 Uttam Kumaran: How does that? What like? What happens? You know.
573 00:55:34.630 ⇒ 00:55:36.430 Amber Lin: Isn’t that essentially account owner.
574 00:55:37.510 ⇒ 00:55:41.570 Uttam Kumaran: The account owner, for the most part, will be the salesperson.
575 00:55:41.570 ⇒ 00:55:42.300 Amber Lin: Hmm.
576 00:55:42.720 ⇒ 00:55:49.120 Uttam Kumaran: But like there’s still a handoff like different modes. So we should talk about it.
577 00:55:49.120 ⇒ 00:55:50.760 Amber Lin: Okay, awesome.
578 00:55:53.390 ⇒ 00:56:03.120 Amber Lin: Right? So yeah, build Pmo function would, I guess
579 00:56:03.300 ⇒ 00:56:06.810 Amber Lin: on. I know this is in progress.
580 00:56:07.920 ⇒ 00:56:10.969 Amber Lin: I guess, for the Pmo function
581 00:56:11.590 ⇒ 00:56:17.549 Amber Lin: I wanted to see. I guess, Utah, you’re okay with us, just figuring that out right.
582 00:56:17.550 ⇒ 00:56:18.639 Uttam Kumaran: Yeah, I don’t care. Yeah.
583 00:56:18.640 ⇒ 00:56:19.460 Amber Lin: Okay. Great.
584 00:56:19.460 ⇒ 00:56:21.960 Uttam Kumaran: Yeah, whatever whatever is the best to do
585 00:56:22.220 ⇒ 00:56:26.140 Uttam Kumaran: ideally get like a book or 2 out of it. So I can eat something.
586 00:56:27.850 ⇒ 00:56:30.340 Amber Lin: A book. You mean, not us to write a book right?
587 00:56:30.340 ⇒ 00:56:32.099 Uttam Kumaran: No, no, no, like, yeah. Okay.
588 00:56:32.100 ⇒ 00:56:36.850 Uttam Kumaran: I don’t want to take the pnp, I mean, I could well like, I don’t want to do that. But if there’s like.
589 00:56:37.430 ⇒ 00:56:39.989 Uttam Kumaran: if anything comes up where there’s like something worth reading.
590 00:56:40.440 ⇒ 00:56:40.980 Uttam Kumaran: That’s it.
591 00:56:41.420 ⇒ 00:56:52.860 Amber Lin: Okay, the client is just the pmbok, the Pm. Book knowledge by Pmi. I’ll ask Alice if there’s quicker digestive books that you can read the pen book is a textbook. So
592 00:56:54.140 ⇒ 00:56:55.920 Amber Lin: yeah, we’ll find that.
593 00:56:58.670 ⇒ 00:57:01.730 Amber Lin: Alright. Let me pat myself.
594 00:57:03.690 ⇒ 00:57:04.919 Amber Lin: Okay, let’s see.
595 00:57:05.040 ⇒ 00:57:07.940 Amber Lin: Okay, we’re almost here.
596 00:57:08.180 ⇒ 00:57:10.170 Amber Lin: Groomings are helping. I agree.
597 00:57:18.410 ⇒ 00:57:20.620 Amber Lin: and da da da da da.
598 00:57:21.890 ⇒ 00:57:23.770 Amber Lin: Okay, we have 3 min.
599 00:57:25.860 ⇒ 00:57:26.920 Amber Lin: Let’s see.
600 00:57:31.095 ⇒ 00:57:38.129 Amber Lin: Well, yeah, I think we’ve covered most of this stuff about that you guys wanted to talk about.
601 00:57:38.990 ⇒ 00:57:45.949 Amber Lin: Do you want to hear more about the project rundown and talk about overall goal setting and what we want for this team.
602 00:57:51.980 ⇒ 00:57:57.000 Uttam Kumaran: I think that my only other piece maybe we could talk about is like, I think we should prep for the Friday meetings.
603 00:57:57.180 ⇒ 00:57:58.810 Amber Lin: Thursday evening.
604 00:57:59.220 ⇒ 00:57:59.860 Amber Lin: Hmm.
605 00:58:01.980 ⇒ 00:58:03.349 Uttam Kumaran: Does that seem fair.
606 00:58:04.180 ⇒ 00:58:06.840 Amber Lin: Yeah, what do you think?
607 00:58:09.030 ⇒ 00:58:10.109 Uttam Kumaran: That way. We’re not like.
608 00:58:10.110 ⇒ 00:58:13.665 Amber Lin: Yeah, but I think Thursday, Thursday evening is good.
609 00:58:16.510 ⇒ 00:58:19.840 Amber Lin: Let me just book that now for us.
610 00:58:20.883 ⇒ 00:58:24.990 Amber Lin: I’ll just put a placeholder. We’ll adjust the time later. So
611 00:58:28.950 ⇒ 00:58:31.740 Amber Lin: and yes.
612 00:58:35.660 ⇒ 00:58:39.119 Amber Lin: Oh, you have a culture meeting prep on Thursday.
613 00:58:39.650 ⇒ 00:58:40.320 Uttam Kumaran: Yeah, that’s.
614 00:58:40.320 ⇒ 00:58:40.880 Amber Lin: For us.
615 00:58:40.880 ⇒ 00:58:41.890 Uttam Kumaran: It’s just for me.
616 00:58:42.200 ⇒ 00:58:49.400 Amber Lin: Okay, hey, can I just book it around? Maybe around that time.
617 00:58:52.070 ⇒ 00:58:52.850 Uttam Kumaran: That’s fine!
618 00:58:52.990 ⇒ 00:58:53.750 Amber Lin: Okay.
619 00:58:54.170 ⇒ 00:58:59.490 Amber Lin: Friday meeting. Prep alright.
620 00:59:01.660 ⇒ 00:59:06.589 Amber Lin: Repeat every very briefly. On Thursday.
621 00:59:07.020 ⇒ 00:59:12.790 Amber Lin: Send 30 just 30 min book meeting. Run through some stuff, make sure we’re prepared
622 00:59:13.480 ⇒ 00:59:16.200 Amber Lin: will help with our Friday meetings.
623 00:59:16.650 ⇒ 00:59:20.099 Amber Lin: and I think I want to point out the the main
624 00:59:20.480 ⇒ 00:59:29.570 Amber Lin: thing is participation. It’s really, really hard. I’ve noticed that, if not, their participation, is dreadful.
625 00:59:32.090 ⇒ 00:59:32.940 Uttam Kumaran: Yeah.
626 00:59:32.940 ⇒ 00:59:39.500 Amber Lin: Dreadful silence doesn’t matter if I call on them. They nobody turns your camera on, nobody talks.
627 00:59:39.500 ⇒ 00:59:43.010 Uttam Kumaran: So so like one. I think we should just require camera on.
628 00:59:45.090 ⇒ 00:59:48.780 Uttam Kumaran: And the way we can do is we can just say, Look, we don’t require camera on
629 00:59:49.160 ⇒ 00:59:53.460 Uttam Kumaran: for like non client for like non client meetings except this one meeting
630 00:59:55.900 ⇒ 00:59:58.039 Uttam Kumaran: like, do you want me to just send that message.
631 00:59:58.310 ⇒ 01:00:00.520 Amber Lin: Yeah. Please. Needed.
632 01:00:00.520 ⇒ 01:00:00.859 Uttam Kumaran: Okay.
633 01:00:01.750 ⇒ 01:00:02.444 Amber Lin: Painful.
634 01:00:10.920 ⇒ 01:00:16.980 Uttam Kumaran: Okay, okay, I’m going to this sales call.
635 01:00:18.090 ⇒ 01:00:18.770 Amber Lin: Okay.
636 01:00:23.190 ⇒ 01:00:24.399 Uttam Kumaran: Okay. Thank you guys.
637 01:00:24.400 ⇒ 01:00:25.100 Amber Lin: All right.
638 01:00:25.210 ⇒ 01:00:27.410 Amber Lin: Productive meeting all right.
639 01:00:27.410 ⇒ 01:00:28.739 Hannah Wang: For running amber.
640 01:00:29.030 ⇒ 01:00:29.910 Uttam Kumaran: He is.
641 01:00:29.910 ⇒ 01:00:30.760 Amber Lin: Bye.
642 01:00:31.720 ⇒ 01:00:32.470 Awaish Kumar: Right.