Meeting Title: ABC Project Roadmap and Resource Planning Date: 2025-06-26 Meeting participants: Amber Lin, Uttam Kumaran
WEBVTT
1 00:00:12.230 ⇒ 00:00:13.650 Amber Lin: Hi!
2 00:00:24.430 ⇒ 00:00:25.820 Amber Lin: Hello!
3 00:00:29.670 ⇒ 00:00:31.900 Uttam Kumaran: Oh, Hi!
4 00:00:31.900 ⇒ 00:00:32.470 Uttam Kumaran: That’s why.
5 00:00:32.479 ⇒ 00:00:36.919 Amber Lin: He’s gonna join. If he doesn’t join, we can also just call on the phone.
6 00:00:37.430 ⇒ 00:00:42.539 Uttam Kumaran: I don’t know, and Robert is still in a call.
7 00:00:43.390 ⇒ 00:00:43.780 Amber Lin: Boom.
8 00:00:44.340 ⇒ 00:00:46.020 Uttam Kumaran: On my panel joins.
9 00:00:46.627 ⇒ 00:00:51.540 Uttam Kumaran: I was just gonna probably work on the deck when I get home later tonight.
10 00:00:51.540 ⇒ 00:00:52.173 Uttam Kumaran: Oh, okay.
11 00:00:53.420 ⇒ 00:00:54.110 Amber Lin: Sure.
12 00:00:54.730 ⇒ 00:00:57.280 Uttam Kumaran: Maybe. Let’s see, let’s see 1 min see what happens.
13 00:00:59.100 ⇒ 00:00:59.880 Amber Lin: Okay.
14 00:01:00.840 ⇒ 00:01:02.009 Uttam Kumaran: How’s the day going.
15 00:01:03.305 ⇒ 00:01:16.600 Amber Lin: Today’s been intense because I’ve been trying to get the deck ready before the ABC. Meeting. And then before the ABC. Meeting, I also had the urban sense meeting with the stakeholders.
16 00:01:17.245 ⇒ 00:01:17.890 Uttam Kumaran: Yeah.
17 00:01:17.890 ⇒ 00:01:20.650 Amber Lin: Then also, Madam More, of checking
18 00:01:21.010 ⇒ 00:01:24.270 Amber Lin: progress, and then checking with our info.
19 00:01:25.150 ⇒ 00:01:32.399 Uttam Kumaran: Well from the outside. It’s like you’re you’re you’re crushing it like, I really think this has been one of the smoother weeks.
20 00:01:33.790 ⇒ 00:01:41.640 Amber Lin: I agree in terms of the project. I don’t agree on the amount of times amount of time I’ve been working.
21 00:01:41.640 ⇒ 00:01:42.330 Uttam Kumaran: Okay. Okay. Okay.
22 00:01:43.600 ⇒ 00:01:45.310 Amber Lin: So like, yes.
23 00:01:45.480 ⇒ 00:02:04.369 Amber Lin: like, I’m okay with this having. And I think in the needs to happen, because it’s as we agreed on before, like we wanted to do it perfect and cut down the time. And honestly, I think this week it took so much time because ABC was taking so much time, because there was road mapping, and I was doing a lot of work like
24 00:02:04.680 ⇒ 00:02:12.250 Amber Lin: by myself, which I shouldn’t have, so partly is because I keep getting drawn to work on ABC.
25 00:02:13.350 ⇒ 00:02:19.879 Uttam Kumaran: Other than that drawn because of how like easy the work seems.
26 00:02:21.310 ⇒ 00:02:30.479 Amber Lin: How easy it seems, and how I am. I was talking to Nico, how I have distrust in other people doing it
27 00:02:31.400 ⇒ 00:02:32.150 Amber Lin: on our team.
28 00:02:33.260 ⇒ 00:02:49.295 Amber Lin: No, it’s just in general. So that’s my issue. And then I did the roadmap, and I laid it out. I was like, Oh, you know what I really should have done this earlier. I could have just did the structure, and then handed it off so partly. It’s my fault.
29 00:02:49.610 ⇒ 00:03:01.660 Uttam Kumaran: Part of it, I think, is one I mean I you know I was just talking to Robert about this yesterday is like one thing we’ve never compromised on is like our quality of work. In fact, like we
30 00:03:01.980 ⇒ 00:03:06.770 Uttam Kumaran: we like lose money 1st than ever, sort of like
31 00:03:07.150 ⇒ 00:03:09.519 Uttam Kumaran: being like. We should slow down, you know.
32 00:03:11.490 ⇒ 00:03:17.379 Uttam Kumaran: like I don’t think I don’t think we’ve ever said like, oh, actually just deliver them like a half baked thing, so we can move on, you know.
33 00:03:18.155 ⇒ 00:03:21.084 Uttam Kumaran: But for that reason I think we bias towards
34 00:03:22.707 ⇒ 00:03:26.342 Uttam Kumaran: We bias a lot towards
35 00:03:28.460 ⇒ 00:03:41.990 Uttam Kumaran: I guess the word is more like we, we buy sports like at all costs and the cost can. It’s either time or like we over, we just basically go overboard when probably we could have just set expectations a little bit clearer.
36 00:03:42.230 ⇒ 00:03:44.979 Uttam Kumaran: and got it done in longer time.
37 00:03:46.330 ⇒ 00:03:47.109 Amber Lin: Probably so good.
38 00:03:48.540 ⇒ 00:04:10.469 Amber Lin: Yeah, I agree. And that’s why I feel like if we really needed the roadmap, because once I road mapped it out. I was like, Okay, we can do this whole central Doc thing in the next 2 sprints. The next 2 sprints is a month. A month is a long time. I feel like this week. I was trying to cram all of it in this week because I didn’t know where the end goal was.
39 00:04:10.580 ⇒ 00:04:30.259 Amber Lin: and so now that I ticketed things out, it feels a lot better but also and then I looked at our hours and our rates, and that, and at 6.5 K. If we want even a hundred per hour, that’s only 65 h per month.
40 00:04:31.360 ⇒ 00:04:35.510 Uttam Kumaran: Yeah, yeah, I mean, yeah, probably around 30 HA week.
41 00:04:37.300 ⇒ 00:04:37.950 Amber Lin: PA.
42 00:04:37.950 ⇒ 00:04:49.449 Uttam Kumaran: Yeah. So like, cause I do the math, because when we do, when we do our 2 week trials, I do the math that we have to. We could spend Max 30 h because that nets that 1 50
43 00:04:50.080 ⇒ 00:04:50.880 Uttam Kumaran: billable
44 00:04:52.000 ⇒ 00:04:56.240 Uttam Kumaran: like. If we spend any more than 30 h for 5 K. We get, we go, we go over.
45 00:04:56.640 ⇒ 00:05:00.390 Uttam Kumaran: And yeah, for ABC, it is sort of around 60.
46 00:05:02.370 ⇒ 00:05:10.850 Amber Lin: So it means that each week we get around like 12 or 13 h, is it? Yeah.
47 00:05:11.710 ⇒ 00:05:12.310 Uttam Kumaran: Correct.
48 00:05:12.930 ⇒ 00:05:26.270 Amber Lin: And so it it’s like we’re going overboard on engineering for sure. For Hi, Robert, and for the trainer bought, I’m telling. I’m asking
49 00:05:26.980 ⇒ 00:05:33.847 Amber Lin: pause for now, because it didn’t have time to review his work, and also taking, I think we’re going down Rabbit Hole.
50 00:05:34.800 ⇒ 00:05:37.330 Amber Lin: I think, in order to keep the
51 00:05:37.850 ⇒ 00:05:42.449 Amber Lin: to keep it at 12 or 13 h per week.
52 00:05:43.406 ⇒ 00:05:46.310 Amber Lin: It’s a little hard.
53 00:05:46.550 ⇒ 00:05:54.190 Amber Lin: but I think with I’ll properly ticket it out, and hence why, I kind of wanted to look at it in terms of grooming together.
54 00:05:55.082 ⇒ 00:05:56.979 Amber Lin: I think we
55 00:05:57.450 ⇒ 00:06:04.370 Amber Lin: ran too fast this cycle. We got a lot done, but we are over by a lot.
56 00:06:09.480 ⇒ 00:06:15.689 Uttam Kumaran: Yeah, that makes that makes sense. I mean, I think 60 HA month is like.
57 00:06:16.370 ⇒ 00:06:22.620 Uttam Kumaran: not like horrible, though, like 10 HA week, a couple of those hours of meetings.
58 00:06:23.040 ⇒ 00:06:35.930 Uttam Kumaran: and then it’s like you and Casey, or one person I mean ideally. Again, our goal is to get them to 10 K. And but like, even when we get to 10 K. It’s not like we would be like, we can spend another 30 h.
59 00:06:36.110 ⇒ 00:06:40.069 Uttam Kumaran: We just don’t want us like I think that’s probably the Max.
60 00:06:40.530 ⇒ 00:06:41.310 Amber Lin: Yeah.
61 00:06:41.890 ⇒ 00:06:49.689 Uttam Kumaran: I think you’re also finding across all clients. One conclusion that reaching is more facetime buys you
62 00:06:50.160 ⇒ 00:06:52.540 Uttam Kumaran: like some sort of like
63 00:06:55.920 ⇒ 00:07:08.800 Uttam Kumaran: like less stress about like, not oh, we didn’t get an update, you know, like, I think the time you’re spending and that like that, that’s gonna directly translate to them, being like, Okay, everything’s good. But that does come out of your time directly.
64 00:07:09.050 ⇒ 00:07:14.740 Uttam Kumaran: That’s the trade, you know. It’s like, How long can you sort of go without having saved time.
65 00:07:15.330 ⇒ 00:07:18.720 Uttam Kumaran: but, like not compromising the require.
66 00:07:19.660 ⇒ 00:07:23.279 Amber Lin: Yeah. And also, how much other work can I delegate out.
67 00:07:23.480 ⇒ 00:07:31.982 Uttam Kumaran: Yeah, well, that’s the other thing is like for me. Ultimately, I think the more facetime you can do, and the less other stuff that’s not facetime to hand off to the Coordinator.
68 00:07:33.170 ⇒ 00:07:34.130 Amber Lin: Yeah, yeah, I.
69 00:07:34.130 ⇒ 00:07:44.829 Uttam Kumaran: The superpower is for us is similarly, what’s happening on sales, which is like the more facetime sales meeting. I could do the better. Everything in between that it’s like, I don’t need to do that, you know.
70 00:07:45.500 ⇒ 00:07:52.379 Uttam Kumaran: That’s that’s what we we don’t need to optimize for that. But that’s all that’s all it could take to pass after the meeting. Right?
71 00:07:53.070 ⇒ 00:07:57.840 Uttam Kumaran: So if you go to more meetings, naturally.
72 00:07:59.040 ⇒ 00:08:03.324 Amber Lin: Yeah, I think for what was it?
73 00:08:04.280 ⇒ 00:08:08.189 Amber Lin: Oh, I forgot. It slipped my mind anyways.
74 00:08:09.380 ⇒ 00:08:27.870 Amber Lin: Yeah, for ABC. I will delegate a lot of things out, and I think the roadmap will take a bit. But once the roadmap is set the Pm. Main won’t be too hard. It’s just. It’s just this gets done now that gets done, then check the quality.
75 00:08:28.000 ⇒ 00:08:36.130 Amber Lin: But I think it troubled me for a while of the overall strategy and roadmap, and I feel a lot better about it now.
76 00:08:38.080 ⇒ 00:08:43.179 Amber Lin: Yeah, yeah, that’s my 3 clients. They’re going well,
77 00:08:45.540 ⇒ 00:08:55.709 Amber Lin: And I feel like most of the burden has been up until this call has been really busy. I think, after after this is like.
78 00:08:56.630 ⇒ 00:09:01.289 Uttam Kumaran: That’s why we did a good move that we don’t have stuff on Friday. So that’s good.
79 00:09:01.660 ⇒ 00:09:10.429 Amber Lin: Yeah, I’m I’m glad I still have 2 retros left, but my teams are so small like it doesn’t matter it. It’ll be quick.
80 00:09:10.430 ⇒ 00:09:16.909 Uttam Kumaran: It’s like Rico is good, in fact, like I haven’t been spending nearly enough time with him, but everything I asked him to do.
81 00:09:17.240 ⇒ 00:09:18.150 Uttam Kumaran: and
82 00:09:18.260 ⇒ 00:09:25.219 Uttam Kumaran: access and learning systems. It’s been totally fine. So I don’t know I want. I think maybe you you will have some opportunity to
83 00:09:25.640 ⇒ 00:09:27.289 Uttam Kumaran: leverage him for.
84 00:09:27.420 ⇒ 00:09:28.740 Uttam Kumaran: Yeah, I’m out
85 00:09:30.100 ⇒ 00:09:49.809 Amber Lin: Yeah, great. I think I still probably would want another week before I asked them to hand off stuff, just because this is also a bit new for me like I’m barely just grasping it. I need to know, like I can do this so that if I hand it off to someone. I can check their work.
86 00:09:50.540 ⇒ 00:09:53.549 Uttam Kumaran: Totally. And I don’t think he’s gonna be able to really make like.
87 00:09:53.750 ⇒ 00:09:55.910 Uttam Kumaran: do like really the biggest stuff.
88 00:09:56.250 ⇒ 00:10:03.969 Uttam Kumaran: But if there is 20% of the stuff that you can hand to him or that he can use the AI tool to then go do stuff.
89 00:10:04.250 ⇒ 00:10:07.180 Uttam Kumaran: I do think that he has the ability to listen to direction pretty clearly and.
90 00:10:07.180 ⇒ 00:10:08.050 Amber Lin: Yeah, I.
91 00:10:08.394 ⇒ 00:10:11.490 Uttam Kumaran: He was like. He’s down to work our hours.
92 00:10:12.250 ⇒ 00:10:25.419 Amber Lin: Okay, that’s fantastic with ABC. With all the documents and rewriting them like, I don’t like that could be handed off. It’s just a lot of details and making sure we cover everything.
93 00:10:25.740 ⇒ 00:10:27.429 Uttam Kumaran: Yeah, yeah. So
94 00:10:27.834 ⇒ 00:10:33.589 Uttam Kumaran: so I think that’s good. I think I’m gonna I’m gonna certainly have probably 10 to 20 h of operations work.
95 00:10:35.830 ⇒ 00:10:40.677 Uttam Kumaran: But I do think that he hasn’t. He has the other time available to do so.
96 00:10:40.980 ⇒ 00:10:41.550 Amber Lin: Bye.
97 00:10:44.680 ⇒ 00:10:50.920 Amber Lin: yeah, great I don’t think a wish would be joining.
98 00:10:51.110 ⇒ 00:10:58.160 Amber Lin: You want to spend the rest of like 1015 min to talk about kites site, what we want to handle.
99 00:10:58.160 ⇒ 00:11:00.920 Uttam Kumaran: Yeah. So tell me how that meeting went.
100 00:11:01.700 ⇒ 00:11:09.310 Amber Lin: They’re really good. It was. It was a vibe strike. I think they’re pretty nice I mean
101 00:11:09.530 ⇒ 00:11:17.460 Amber Lin: didn’t get any decisions down that meeting, but but the if the purpose was a 5 check is checked.
102 00:11:17.810 ⇒ 00:11:21.830 Uttam Kumaran: Okay. So I guess my, so one of the things that I talked to him about was.
103 00:11:22.090 ⇒ 00:11:23.630 Uttam Kumaran: he was like, Look
104 00:11:24.002 ⇒ 00:11:31.580 Uttam Kumaran: but I was like, look, we have these couple of clients that we would need. Probably one person split across 2. He was like, Okay, probably the way we would do. It is like.
105 00:11:31.720 ⇒ 00:11:35.539 Uttam Kumaran: Can you just give us like a chair email? And then anybody on my team would take that.
106 00:11:35.730 ⇒ 00:11:36.980 Uttam Kumaran: I said.
107 00:11:37.420 ⇒ 00:11:46.309 Uttam Kumaran: I mean, I told them like the way of working is actually not up to me. It’s up to all of our people project managing. So I said, we’re not like
108 00:11:46.680 ⇒ 00:11:51.700 Uttam Kumaran: we’re not running like shit show clients like we have structure, and we have sprints and stuff. So
109 00:11:51.910 ⇒ 00:12:00.609 Uttam Kumaran: people, your team will get assigned work. And so who’s going to be accountable like we can’t hold like 11 people accountable or like like, what is the what’s the channel of like
110 00:12:00.730 ⇒ 00:12:02.250 Uttam Kumaran: getting stuff done?
111 00:12:02.785 ⇒ 00:12:06.960 Uttam Kumaran: So that was the main thing that I had a little concern over, because I was like.
112 00:12:07.800 ⇒ 00:12:12.519 Uttam Kumaran: I was like, are you? Is he gonna be the person on the hook for everything.
113 00:12:12.900 ⇒ 00:12:18.330 Uttam Kumaran: or like? Who’s gonna join the meeting and be like in the stand and be like this guy done essentially
114 00:12:18.700 ⇒ 00:12:19.480 Uttam Kumaran: or.
115 00:12:19.480 ⇒ 00:12:19.920 Amber Lin: Well.
116 00:12:19.920 ⇒ 00:12:26.800 Uttam Kumaran: Should we not expect that? And is it going to be like? We only give them really like the easiest stuff, and all of their updates come through slack.
117 00:12:26.980 ⇒ 00:12:29.720 Uttam Kumaran: I don’t know. I feel like maybe he changed. Course
118 00:12:30.280 ⇒ 00:12:33.609 Uttam Kumaran: you’re talking to me, because clearly, he added, like one person
119 00:12:35.390 ⇒ 00:12:44.899 Amber Lin: Yeah, he added, there was 2 people on the notion that he put down then his name. So one has 3 years of experience, and I think he’s a
120 00:12:45.380 ⇒ 00:12:51.419 Amber Lin: data and bi person. And then the other one is more of a data engineer.
121 00:12:51.420 ⇒ 00:12:54.660 Amber Lin: And they’re like they all have, like 3 or 4 years experience.
122 00:12:55.610 ⇒ 00:12:59.360 Amber Lin: I think they probably would just add each person to the.
123 00:12:59.890 ⇒ 00:13:00.410 Uttam Kumaran: To, the.
124 00:13:00.410 ⇒ 00:13:02.450 Amber Lin: Projects. Because there’s only 2 people.
125 00:13:02.450 ⇒ 00:13:13.050 Uttam Kumaran: But I guess my point was like, if you’re gonna run a sprint, those those they have to adhere to all of our. I guess my question is, gonna be a do, are those people gonna adhere to all of our typical sprint stuff?
126 00:13:16.155 ⇒ 00:13:16.770 Amber Lin: See?
127 00:13:16.770 ⇒ 00:13:17.290 Uttam Kumaran: Where do you think?
128 00:13:17.290 ⇒ 00:13:17.800 Amber Lin: Seems to.
129 00:13:17.800 ⇒ 00:13:18.419 Uttam Kumaran: All right.
130 00:13:18.710 ⇒ 00:13:19.630 Uttam Kumaran: Yeah.
131 00:13:20.585 ⇒ 00:13:26.570 Amber Lin: It seems like it’s gonna be okay. We assign them tickets and they get tickets on at due date.
132 00:13:27.430 ⇒ 00:13:28.400 Uttam Kumaran: Okay. Okay.
133 00:13:29.420 ⇒ 00:13:31.369 Amber Lin: Yeah. Well, probably.
134 00:13:31.370 ⇒ 00:13:33.349 Amber Lin: So it’ll be the work that we’re doing
135 00:13:33.350 ⇒ 00:13:36.290 Amber Lin: them to. Yeah. Sorry. Go ahead.
136 00:13:36.290 ⇒ 00:13:37.509 Uttam Kumaran: No, you got it. You got it.
137 00:13:38.370 ⇒ 00:13:54.350 Amber Lin: Yeah, I don’t need them to be at grooming, because right now, honestly, the grooming is me and the tech lead, making sure that it goes. And then our team members accept the work. But if the tech lead is okay with, okay, this ticket ticket is doable.
138 00:13:54.730 ⇒ 00:14:01.909 Amber Lin: If we’re contracting it out. Is it really necessary that they agree to that work like I don’t think they need to be at grooming.
139 00:14:02.520 ⇒ 00:14:08.390 Uttam Kumaran: I agree. I I guess my point. My point was like, it’s gonna be up to each team
140 00:14:08.940 ⇒ 00:14:11.760 Uttam Kumaran: like, if Amber’s like, no, everybody needs to be there.
141 00:14:11.910 ⇒ 00:14:13.880 Uttam Kumaran: Then that’s what it is like.
142 00:14:16.110 ⇒ 00:14:28.559 Uttam Kumaran: But it also doesn’t have like, yeah, we can kind of do it either way. Really, the goal. For this is like number one goal is like, I want to move away out of like sort of like the stuff that we can hand off.
143 00:14:30.683 ⇒ 00:14:33.349 Uttam Kumaran: And we don’t have like.
144 00:14:33.560 ⇒ 00:14:37.360 Uttam Kumaran: I don’t think the the quality of
145 00:14:38.090 ⇒ 00:14:45.020 Uttam Kumaran: like I don’t think I mean, I think Luke is probably the only person with significant added
146 00:14:45.130 ⇒ 00:14:50.800 Uttam Kumaran: capacity that I could. We could move over like.
147 00:14:51.300 ⇒ 00:14:54.740 Uttam Kumaran: And I think Kyle’s gonna help me on fan stake stuff.
148 00:14:54.990 ⇒ 00:14:56.260 Uttam Kumaran: And so
149 00:14:58.540 ⇒ 00:15:11.629 Amber Lin: So there is a gap in Eden. There’s a small gap in ABC. There’s not really a gap in matter. More. I don’t think there’s a gap on our.
150 00:15:11.630 ⇒ 00:15:19.300 Uttam Kumaran: From oasis recommendation. I don’t think that we have like. I don’t trust I/O or Luke to go take on that work.
151 00:15:21.320 ⇒ 00:15:23.079 Amber Lin: Take on. What work, Edith?
152 00:15:23.080 ⇒ 00:15:24.580 Uttam Kumaran: Like, Eden, work. Yeah.
153 00:15:24.580 ⇒ 00:15:25.740 Amber Lin: Yeah, yeah, yeah.
154 00:15:26.670 ⇒ 00:15:28.790 Amber Lin: Oh, and that person would.
155 00:15:28.790 ⇒ 00:15:29.320 Uttam Kumaran: I guess we’re.
156 00:15:29.320 ⇒ 00:15:30.550 Amber Lin: Be able to take on.
157 00:15:30.550 ⇒ 00:15:37.269 Uttam Kumaran: Then we are missing like we’re missing like a like a mid tier. Ae.
158 00:15:38.550 ⇒ 00:15:44.550 Uttam Kumaran: and yes, those people should like those are all mid level mid to Senior level Aids.
159 00:15:45.840 ⇒ 00:15:47.010 Uttam Kumaran: Okay?
160 00:15:47.170 ⇒ 00:15:49.730 Uttam Kumaran: And so what we pay out to them
161 00:15:50.350 ⇒ 00:15:56.790 Uttam Kumaran: is like, basically, I want to start to understand how many hours are going to them, and then eventually we’ll we’ll bring on someone full time
162 00:15:56.900 ⇒ 00:15:59.010 Uttam Kumaran: like a mid level. A full time.
163 00:16:00.510 ⇒ 00:16:00.930 Amber Lin: Okay.
164 00:16:00.930 ⇒ 00:16:05.489 Uttam Kumaran: Right. Hindsight is good because they’re a short term plug, like, if I had to go hire somebody.
165 00:16:06.040 ⇒ 00:16:07.709 Uttam Kumaran: it’s gonna take up time and.
166 00:16:07.710 ⇒ 00:16:08.260 Amber Lin: Hmm.
167 00:16:08.260 ⇒ 00:16:13.930 Uttam Kumaran: Like I want to. I want to just know we have enough time for that person. I think it’s clear now that, like
168 00:16:14.320 ⇒ 00:16:16.410 Uttam Kumaran: I/O is getting better.
169 00:16:16.560 ⇒ 00:16:18.500 Uttam Kumaran: I think we’re doing okay.
170 00:16:20.210 ⇒ 00:16:24.600 Uttam Kumaran: But like, I still think that for Eden, it’s just quite complicated, and.
171 00:16:26.030 ⇒ 00:16:31.580 Uttam Kumaran: My number one goal, not getting them hours. It’s getting a wish out of like.
172 00:16:31.580 ⇒ 00:16:36.040 Amber Lin: Yeah, yeah, totally. Okay. I mean.
173 00:16:36.460 ⇒ 00:16:39.739 Amber Lin: is Eden and ABC, the only gaps we have now.
174 00:16:40.910 ⇒ 00:16:45.100 Uttam Kumaran: No, we have a couple of other clients that are about to start, like we have all we have a
175 00:16:46.340 ⇒ 00:16:49.190 Uttam Kumaran: thing off for a spark, plug, default.
176 00:16:49.190 ⇒ 00:16:49.760 Amber Lin: Oh, I.
177 00:16:49.760 ⇒ 00:16:50.999 Uttam Kumaran: Me and the waysh.
178 00:16:51.790 ⇒ 00:16:54.010 Amber Lin: Okay, so that’s gonna.
179 00:16:54.570 ⇒ 00:16:59.460 Uttam Kumaran: Probably work really close with a ways, and Awaii will probably help.
180 00:16:59.460 ⇒ 00:17:00.280 Uttam Kumaran: Yeah.
181 00:17:00.280 ⇒ 00:17:04.170 Amber Lin: Or help them design tasks and and check their quality.
182 00:17:04.569 ⇒ 00:17:06.469 Uttam Kumaran: Yeah, I probably hand off, like
183 00:17:06.819 ⇒ 00:17:10.019 Uttam Kumaran: everything oasis sort of doing to this person.
184 00:17:10.880 ⇒ 00:17:27.479 Amber Lin: Okay, I think, at least immediately. I have a task on ABC. That’s simple, and that away was asking me to find an ae to help him with. So he set up the pipeline to get the data from 8 by 8. But.
185 00:17:27.480 ⇒ 00:17:28.789 Uttam Kumaran: Something Luke can do.
186 00:17:30.100 ⇒ 00:17:31.250 Amber Lin: Okay.
187 00:17:31.250 ⇒ 00:17:44.429 Uttam Kumaran: Like, I guess this is where, like, we need to have a jurisdiction with. For like, is it a junior ae problem, or is it a mid level. Ae, like the stuff I need from fan state is a junior ae problem. So I can bring Kyle on it. It’s like very, very basic.
188 00:17:44.920 ⇒ 00:17:56.439 Uttam Kumaran: But the the Eden stuff is not like that, and the stuff for default I need like a senior data engineer like it’s only me, or it’s only me or away.
189 00:17:56.600 ⇒ 00:18:02.460 Uttam Kumaran: if I can do so and then the spark plug.
190 00:18:02.600 ⇒ 00:18:12.320 Uttam Kumaran: I don’t know a hundred percent. Yeah, but it’s that’s probably the next question we should ask is like, who what resources do we need? Staff there? What level? At what level?
191 00:18:16.160 ⇒ 00:18:16.910 Amber Lin: Okay.
192 00:18:17.110 ⇒ 00:18:17.530 Uttam Kumaran: Yeah.
193 00:18:17.530 ⇒ 00:18:23.479 Amber Lin: So I will go get Luke to do the ABC. One for
194 00:18:24.310 ⇒ 00:18:30.670 Amber Lin: so I guess what is a simple task that we can hand. Let them try out next week.
195 00:18:34.480 ⇒ 00:18:36.889 Amber Lin: It’s more of a question for you.
196 00:18:36.890 ⇒ 00:18:38.619 Uttam Kumaran: Probably more of a question for a wave.
197 00:18:39.400 ⇒ 00:18:40.280 Amber Lin: Okay.
198 00:18:40.280 ⇒ 00:18:44.665 Uttam Kumaran: And he’s I want him to just sort of judge the engineering work. He’s happy. Then.
199 00:18:45.150 ⇒ 00:18:47.770 Uttam Kumaran: like, yeah, they’ll they’ll be okay.
200 00:18:48.790 ⇒ 00:18:51.410 Amber Lin: Okay, so this is more of a.
201 00:18:51.410 ⇒ 00:18:53.209 Uttam Kumaran: Probably the biggest thing for our.
202 00:18:53.210 ⇒ 00:18:54.359 Amber Lin: Or a wage.
203 00:18:54.360 ⇒ 00:19:00.199 Uttam Kumaran: I think it’s a waste. But then I want we need to just be mindful of like how many hours they’re spending
204 00:19:01.250 ⇒ 00:19:04.000 Uttam Kumaran: right to try to get it done at all costs.
205 00:19:04.740 ⇒ 00:19:06.479 Uttam Kumaran: It’s like, Okay, you have.
206 00:19:07.040 ⇒ 00:19:09.290 Uttam Kumaran: You have an extra 10 out. So like.
207 00:19:09.940 ⇒ 00:19:14.510 Uttam Kumaran: yeah, you have. Like, here you have, we? We need 30 h
208 00:19:15.410 ⇒ 00:19:20.379 Uttam Kumaran: per week split between these 3 clients like and that. And then we measure that, you know.
209 00:19:20.540 ⇒ 00:19:23.699 Uttam Kumaran: because if they, if they’re giving us. If those people suck.
210 00:19:24.120 ⇒ 00:19:34.120 Uttam Kumaran: then it’s like complete waste, right? Like, if they take 40 h to do some basic stuff, and it’s not worth it for us. The reason why I wanted them is, there’s 70 bucks an hour.
211 00:19:35.990 ⇒ 00:19:42.510 Uttam Kumaran: But we can. We can basically ramp them up and down as needed.
212 00:19:42.810 ⇒ 00:19:43.659 Uttam Kumaran: That’s not something.
213 00:19:43.660 ⇒ 00:19:44.120 Uttam Kumaran: Oh, no!
214 00:19:44.120 ⇒ 00:19:58.940 Uttam Kumaran: With our full time people pretty easily like I can’t just like sort of latch it, latch it up, down without planning, and so they will sort of be the stop gap ideally if tight side goes over 40 h. That’s enough.
215 00:19:59.060 ⇒ 00:20:04.159 Uttam Kumaran: I’d say, goes enough for above 40 h for a specific role. That’s more than enough
216 00:20:04.300 ⇒ 00:20:07.280 Uttam Kumaran: for me to go. Say, cool, I’m gonna go find an engineer
217 00:20:07.460 ⇒ 00:20:11.379 Uttam Kumaran: that will average maybe 50 to 60 an hour
218 00:20:12.612 ⇒ 00:20:16.720 Uttam Kumaran: right like, and then we can go make that higher now, cause
219 00:20:16.940 ⇒ 00:20:18.640 Uttam Kumaran: I can just send them the money.
220 00:20:19.000 ⇒ 00:20:20.840 Uttam Kumaran: and instead of setting it to ice Tag.
221 00:20:21.450 ⇒ 00:20:23.610 Amber Lin: Yeah. Great. Okay.
222 00:20:23.970 ⇒ 00:20:29.109 Uttam Kumaran: Reck is also saying, we can easily ratchet. We can easily ratchet guys like down just as fast.
223 00:20:29.390 ⇒ 00:20:30.990 Uttam Kumaran: That’s yeah. That’s hard.
224 00:20:31.370 ⇒ 00:20:31.950 Uttam Kumaran: Otherwise.
225 00:20:31.950 ⇒ 00:20:40.109 Amber Lin: Yeah, yeah, this is a great. This is a great transitional choice. Okay? Seems like, it just needs oasius input
226 00:20:40.970 ⇒ 00:20:43.819 Amber Lin: and then, ideally, I want.
227 00:20:44.370 ⇒ 00:20:50.769 Amber Lin: maybe want this to get started as soon as possible, so he has capacity for any other tasks that might come up.
228 00:20:53.440 ⇒ 00:20:54.050 Uttam Kumaran: Okay.
229 00:20:54.870 ⇒ 00:20:55.819 Amber Lin: Yeah, okay.
230 00:20:58.040 ⇒ 00:20:59.199 Uttam Kumaran: Yeah. So we had, like.
231 00:20:59.200 ⇒ 00:21:00.240 Amber Lin: We have like these stuff.
232 00:21:00.240 ⇒ 00:21:02.150 Uttam Kumaran: We have like default kicking on.
233 00:21:02.340 ⇒ 00:21:05.850 Uttam Kumaran: We have a couple of like proof of concepts like fan stake.
234 00:21:06.550 ⇒ 00:21:09.939 Uttam Kumaran: We have insomnia cookies that just signed.
235 00:21:09.940 ⇒ 00:21:10.790 Amber Lin: What?
236 00:21:11.130 ⇒ 00:21:11.750 Uttam Kumaran: Yeah.
237 00:21:11.750 ⇒ 00:21:14.229 Amber Lin: Wow! That’s so cool.
238 00:21:14.230 ⇒ 00:21:15.339 Uttam Kumaran: That’s cool.
239 00:21:16.217 ⇒ 00:21:22.030 Uttam Kumaran: We have spark plug. We have read me so.
240 00:21:22.470 ⇒ 00:21:27.079 Uttam Kumaran: Like I’m gonna start, really.
241 00:21:28.070 ⇒ 00:21:31.219 Uttam Kumaran: Look for that mid level. Pm, pretty sincerely.
242 00:21:32.634 ⇒ 00:21:37.319 Uttam Kumaran: But my only sort of concern is like we may have to go a month
243 00:21:37.740 ⇒ 00:21:40.359 Uttam Kumaran: without it, in order for me to get the budget.
244 00:21:41.480 ⇒ 00:21:41.800 Amber Lin: Yeah.
245 00:21:42.810 ⇒ 00:21:43.820 Uttam Kumaran: Well, we’re.
246 00:21:43.820 ⇒ 00:21:44.160 Amber Lin: No.
247 00:21:44.160 ⇒ 00:21:45.010 Uttam Kumaran: Money from some of.
248 00:21:45.010 ⇒ 00:21:45.615 Amber Lin: Or
249 00:21:46.220 ⇒ 00:21:52.029 Uttam Kumaran: Won’t come in until 20 or 30 days after we start.
250 00:21:52.470 ⇒ 00:21:53.549 Amber Lin: Yeah, yeah, totally.
251 00:21:53.550 ⇒ 00:21:58.360 Amber Lin: Oh, yeah, for the smaller clients.
252 00:21:59.041 ⇒ 00:22:07.800 Amber Lin: Like, if we get a coordinator, I can help you oversee that for bigger, for like a bigger client.
253 00:22:09.680 ⇒ 00:22:19.660 Amber Lin: Probably I have probably capacity for one more, because urban centers and matter more is pretty stabilized. Now. ABC. Should be stable after next sprint.
254 00:22:19.940 ⇒ 00:22:27.050 Amber Lin: so I probably would have capacity for a bigger client, and then
255 00:22:27.793 ⇒ 00:22:32.630 Amber Lin: depending like depending on how much I can hand off.
256 00:22:32.770 ⇒ 00:22:43.279 Amber Lin: then I can have a better say about my capacity, but I can help you oversee, oversee the small projects. I can’t manage them directly, but I can help you oversee their management.
257 00:22:43.710 ⇒ 00:22:46.029 Uttam Kumaran: Yeah, I think I’d be interested in how
258 00:22:47.090 ⇒ 00:22:49.650 Uttam Kumaran: like ABC can start to get
259 00:22:50.400 ⇒ 00:22:52.730 Uttam Kumaran: a little bit slimmer of your time.
260 00:22:53.780 ⇒ 00:22:59.399 Uttam Kumaran: Because I think the amount of facetime that you’re doing is important. But I do think the background stuff needs to be handed off
261 00:22:59.920 ⇒ 00:23:01.800 Uttam Kumaran: like, if you can keep it to like 3 h.
262 00:23:01.800 ⇒ 00:23:02.440 Amber Lin: I agree.
263 00:23:02.440 ⇒ 00:23:06.160 Uttam Kumaran: Time or whatever like, they’ll be happy. And those guys bias towards that.
264 00:23:06.420 ⇒ 00:23:07.410 Uttam Kumaran: So.
265 00:23:07.810 ⇒ 00:23:08.499 Amber Lin: I don’t think we can.
266 00:23:08.500 ⇒ 00:23:15.619 Uttam Kumaran: Hand that off, and then matter more. I think they’re actually a bigger client than ABC. At this point revenue wise.
267 00:23:15.890 ⇒ 00:23:17.769 Uttam Kumaran: But also I think we’re doing better like our.
268 00:23:17.770 ⇒ 00:23:18.980 Amber Lin: Yeah, it’s pretty like.
269 00:23:18.980 ⇒ 00:23:21.140 Uttam Kumaran: To work. And so that’s whatever
270 00:23:23.170 ⇒ 00:23:25.689 Amber Lin: Yeah, I don’t know how long it’s gonna go, though.
271 00:23:26.090 ⇒ 00:23:35.270 Amber Lin: like, naturally, this type of project, I feel like it’s gonna end after we connect to their client data and get things set up. I don’t see an additional path.
272 00:23:36.310 ⇒ 00:23:39.399 Uttam Kumaran: Yeah, I don’t know if this is gonna expand.
273 00:23:39.530 ⇒ 00:23:41.370 Uttam Kumaran: But I will say,
274 00:23:42.200 ⇒ 00:23:47.240 Uttam Kumaran: they’re hiring a data scientist. But like they, we’ve had this with other clients like
275 00:23:47.550 ⇒ 00:23:56.620 Uttam Kumaran: where our work just becomes just as important because that person can’t work in that environment like, imagine, like his struggle for us to do our job
276 00:23:57.290 ⇒ 00:23:58.060 Uttam Kumaran: like.
277 00:23:58.650 ⇒ 00:24:01.457 Uttam Kumaran: Gonna be fucking hard for that person, you know.
278 00:24:02.810 ⇒ 00:24:07.179 Uttam Kumaran: So I guess that’s what I’m that’s more of like. What I was saying is that
279 00:24:08.090 ⇒ 00:24:11.120 Uttam Kumaran: I think we’ll be okay.
280 00:24:12.110 ⇒ 00:24:12.510 Amber Lin: Hmm.
281 00:24:12.510 ⇒ 00:24:16.310 Uttam Kumaran: Because Ari is just part time. And this data scientist thing is, gonna take some of our stuff
282 00:24:16.924 ⇒ 00:24:23.829 Uttam Kumaran: and we’re we’re only on. We’re only on hourly with them, so it’ll scale up or down.
283 00:24:27.350 ⇒ 00:24:31.900 Uttam Kumaran: So we’ll see. I mean, I’m not banking everything on them like again.
284 00:24:32.290 ⇒ 00:24:34.000 Uttam Kumaran: But but I will say, like
285 00:24:34.948 ⇒ 00:24:39.439 Uttam Kumaran: Urban Sims is the is the second biggest next to Eda.
286 00:24:42.140 ⇒ 00:24:43.999 Uttam Kumaran: Right? Because that’s like 13 grand.
287 00:24:45.280 ⇒ 00:24:48.749 Amber Lin: Yeah, also takes the most time.
288 00:24:48.950 ⇒ 00:24:52.519 Uttam Kumaran: That’s yeah. That one. I I would buy storage spending time there.
289 00:24:52.930 ⇒ 00:24:56.605 Uttam Kumaran: They’re gonna bring us on for another 6 months like guaranteed.
290 00:24:57.360 ⇒ 00:24:58.920 Uttam Kumaran: Yeah, yeah.
291 00:24:58.920 ⇒ 00:25:04.870 Amber Lin: Yeah. A matter more like takes about 5 h each week. 40.
292 00:25:04.870 ⇒ 00:25:08.937 Uttam Kumaran: On, on, Urban, on urban stems. They are more
293 00:25:10.480 ⇒ 00:25:14.219 Uttam Kumaran: What I would say, Zack, is more skeptical.
294 00:25:14.340 ⇒ 00:25:18.329 Uttam Kumaran: and actually appreciates the Pm. Process more
295 00:25:19.127 ⇒ 00:25:25.039 Uttam Kumaran: like ABC, we can get away with having like kind of these nice fluffy meetings. But Zack
296 00:25:25.460 ⇒ 00:25:29.337 Uttam Kumaran: wants to see like we’re cross like he wants to see sort of the Pm. Process.
297 00:25:29.980 ⇒ 00:25:34.660 Uttam Kumaran: So it’s sort of what different people want like, and for matter more, they don’t care about the Pm. Process at all.
298 00:25:35.330 ⇒ 00:25:35.710 Amber Lin: Yeah.
299 00:25:35.710 ⇒ 00:25:39.149 Uttam Kumaran: Right. So do you have these sort of 3 different characters.
300 00:25:39.610 ⇒ 00:25:44.470 Uttam Kumaran: I will say, though the urban 7th one is probably the best, because.
301 00:25:44.900 ⇒ 00:25:47.970 Uttam Kumaran: like. That’s the easiest one to get right. Very predictable, you know.
302 00:25:49.180 ⇒ 00:25:49.700 Amber Lin: Okay.
303 00:25:50.800 ⇒ 00:25:52.770 Uttam Kumaran: That’s kind of, I agree.
304 00:25:52.770 ⇒ 00:25:58.899 Uttam Kumaran: run our typical process. We do roadmaps. They’re going to be okay with fluctuations, because that’s just what happens.
305 00:25:59.330 ⇒ 00:26:03.019 Uttam Kumaran: Like matter more. It’s sort of all over the place. And ABC,
306 00:26:03.220 ⇒ 00:26:07.099 Uttam Kumaran: I think they’ll be happy, no matter what like. I think we right. But
307 00:26:07.230 ⇒ 00:26:09.019 Uttam Kumaran: but that’s exactly a meaning. There’s like
308 00:26:09.660 ⇒ 00:26:12.547 Uttam Kumaran: we should kind of like temper our
309 00:26:13.350 ⇒ 00:26:20.249 Uttam Kumaran: like, they’re already pretty happy. And we’re gonna keep doing the pace at which we’re doing is beyond their expectation. So
310 00:26:20.410 ⇒ 00:26:21.690 Uttam Kumaran: we just kind of like.
311 00:26:21.690 ⇒ 00:26:22.350 Amber Lin: Thank God!
312 00:26:22.350 ⇒ 00:26:29.000 Uttam Kumaran: Continue course. And then I wanna, I wanna definitely strategize on how I can get more business from them on the data side.
313 00:26:29.180 ⇒ 00:26:31.000 Amber Lin: Yeah, I agree.
314 00:26:33.360 ⇒ 00:26:37.789 Uttam Kumaran: I mean, yeah, we have. I mean, we have several other proposals out as well. So like.
315 00:26:38.610 ⇒ 00:26:43.739 Uttam Kumaran: we’ll see this month could be like very, very big, or all of those could come back and say No.
316 00:26:44.505 ⇒ 00:26:45.030 Uttam Kumaran: but.
317 00:26:45.030 ⇒ 00:26:45.830 Amber Lin: Okay.
318 00:26:46.170 ⇒ 00:26:49.079 Uttam Kumaran: I I think we need like probably one more month
319 00:26:49.470 ⇒ 00:27:01.659 Uttam Kumaran: before I can have the budget to go. Bring that Middle Pm, although I’m gonna start talking to some people and then hope. And then really nicely, I think that’ll give you another person to
320 00:27:02.050 ⇒ 00:27:05.430 Uttam Kumaran: just like run through everything with, you know
321 00:27:06.100 ⇒ 00:27:11.749 Uttam Kumaran: versus just having Alex and and like whatever amount of my time.
322 00:27:14.206 ⇒ 00:27:15.413 Uttam Kumaran: Yeah.
323 00:27:16.620 ⇒ 00:27:22.459 Amber Lin: Yeah, great. I’ll update a meeting with Alex later. I’ll update update you on what we talked about.
324 00:27:23.340 ⇒ 00:27:25.549 Uttam Kumaran: Cool. Okay, I’m seeing him tomorrow, too.
325 00:27:25.960 ⇒ 00:27:27.020 Amber Lin: Oh, great!
326 00:27:27.020 ⇒ 00:27:27.375 Uttam Kumaran: Yeah.
327 00:27:28.490 ⇒ 00:27:36.669 Amber Lin: Are we doing any? Q. 3 planning? Hannah was asking if I should go over to her place, and then we take the call together.
328 00:27:38.473 ⇒ 00:27:41.019 Uttam Kumaran: I don’t know if I’m gonna get to it.
329 00:27:41.420 ⇒ 00:27:44.959 Uttam Kumaran: I may try to do some stuff on Saturday and Sunday.
330 00:27:49.420 ⇒ 00:27:50.930 Uttam Kumaran: Yeah, this week.
331 00:27:51.240 ⇒ 00:27:59.519 Uttam Kumaran: like, I have a little bit of time tomorrow. But I think we may need a couple more days, because I’m I’m sort of working on our operational deck.
332 00:27:59.980 ⇒ 00:28:01.760 Uttam Kumaran: I can look back on this month.
333 00:28:02.686 ⇒ 00:28:05.619 Uttam Kumaran: I think our sales okrs are all good.
334 00:28:05.730 ⇒ 00:28:15.479 Uttam Kumaran: I definitely wanna finish up like our execution and delivery related ones, and and walk in. And I actually want to review those with you and Alex.
335 00:28:15.990 ⇒ 00:28:17.170 Amber Lin: Okay? Sure.
336 00:28:18.030 ⇒ 00:28:25.029 Amber Lin: Yeah, if you’re talking with Alex, you can. You can see if I’m free, and I can see if I can hop on the call
337 00:28:25.180 ⇒ 00:28:26.510 Amber Lin: to listen in.
338 00:28:26.630 ⇒ 00:28:27.190 Amber Lin: Yeah.
339 00:28:27.190 ⇒ 00:28:27.920 Uttam Kumaran: Yeah.
340 00:28:30.860 ⇒ 00:28:31.730 Amber Lin: Great.
341 00:28:33.750 ⇒ 00:28:39.200 Amber Lin: Okay, cool, that’s all from my side. Have fun in New York.
342 00:28:39.510 ⇒ 00:28:40.940 Uttam Kumaran: Perfect. Thank you.
343 00:28:41.130 ⇒ 00:28:42.260 Amber Lin: Alrighty! Bye-bye.
344 00:28:42.260 ⇒ 00:28:43.410 Uttam Kumaran: Okay? Bye.