Meeting Title: Monthly Allocations Date: 2025-07-29 Meeting participants: Rico Rejoso, Awaish Kumar, Amber Lin, Uttam Kumaran
WEBVTT
1 00:02:09.470 ⇒ 00:02:12.930 Amber Lin: Oh, hey, guys, it’s gonna talk about here.
2 00:02:13.440 ⇒ 00:02:14.919 Amber Lin: Let me go ping him
3 00:02:53.010 ⇒ 00:02:56.720 Amber Lin: since he’s still not here yet. I think we can.
4 00:02:57.480 ⇒ 00:03:01.379 Amber Lin: You can start looking at operating, and
5 00:03:03.130 ⇒ 00:03:06.530 Amber Lin: once he comes we can show him what we have here.
6 00:03:06.750 ⇒ 00:03:12.309 Amber Lin: I’ll share my screen. You guys feel free to watch, and then chime in whenever needed.
7 00:03:14.166 ⇒ 00:03:15.720 Amber Lin: Let’s see.
8 00:03:19.670 ⇒ 00:03:20.340 Amber Lin: Oh.
9 00:03:41.040 ⇒ 00:03:41.920 Amber Lin: hmm.
10 00:03:55.950 ⇒ 00:03:59.410 Amber Lin: Rico! Do you know why it says it says this.
11 00:04:04.030 ⇒ 00:04:04.890 Rico Rejoso: Sorry.
12 00:04:05.330 ⇒ 00:04:09.799 Amber Lin: Do you know why it would say that it’s 200%.
13 00:04:09.800 ⇒ 00:04:11.310 Rico Rejoso: 86%.
14 00:04:12.290 ⇒ 00:04:13.480 Amber Lin: Yeah.
15 00:04:16.360 ⇒ 00:04:19.790 Rico Rejoso: Budget 6, 6, 5, course.
16 00:04:23.190 ⇒ 00:04:28.400 Rico Rejoso: Let me see, I think.
17 00:04:28.700 ⇒ 00:04:34.490 Rico Rejoso: Let’s see here, what is even seeing what
18 00:04:45.300 ⇒ 00:04:49.580 Rico Rejoso: it says here that there’s already 819 h.
19 00:04:50.790 ⇒ 00:04:51.430 Amber Lin: Hmm.
20 00:04:54.740 ⇒ 00:05:00.680 Rico Rejoso: Maybe because the project is dated from February 1st to august 31.st
21 00:05:00.680 ⇒ 00:05:05.810 Amber Lin: Oh, I see. Okay, huh!
22 00:05:12.400 ⇒ 00:05:19.959 Amber Lin: Alright is. Do you know how we can see the current cost? Based on our allocations?
23 00:05:20.960 ⇒ 00:05:22.820 Rico Rejoso: Yeah. Let me just
24 00:05:26.050 ⇒ 00:05:34.119 Rico Rejoso: say we oops your. This should show you
25 00:05:37.520 ⇒ 00:05:42.690 Rico Rejoso: cause if you try to. Look at default, I think it’s showing the costs.
26 00:05:43.930 ⇒ 00:05:48.000 Rico Rejoso: But ABC isn’t know it’s.
27 00:05:48.000 ⇒ 00:05:48.740 Amber Lin: See?
28 00:05:49.530 ⇒ 00:05:52.470 Amber Lin: Let’s check default.
29 00:05:53.080 ⇒ 00:05:56.020 Amber Lin: Okay, let’s filter by.
30 00:06:07.450 ⇒ 00:06:09.560 Amber Lin: Oh, default.
31 00:06:11.790 ⇒ 00:06:13.369 Amber Lin: Yeah, protocol analytics. Yeah.
32 00:06:18.350 ⇒ 00:06:18.850 Amber Lin: Hmm.
33 00:06:18.850 ⇒ 00:06:26.710 Rico Rejoso: Damn 3 90. But if you look at the margin like if CC. The financial for the project.
34 00:06:27.680 ⇒ 00:06:30.079 Amber Lin: Oh, so it shows the costs.
35 00:06:30.250 ⇒ 00:06:32.819 Rico Rejoso: Right? Here, yeah. Okay.
36 00:06:32.930 ⇒ 00:06:35.630 Amber Lin: Yeah, I think if it’s
37 00:06:37.400 ⇒ 00:06:43.069 Amber Lin: if it says hourly, I don’t know where we can put in the hourly
38 00:06:43.620 ⇒ 00:06:48.719 Amber Lin: budget so that it just we don’t really have a budget per se.
39 00:06:51.630 ⇒ 00:06:54.670 Amber Lin: Planned hours 66 total
40 00:07:04.080 ⇒ 00:07:12.219 Amber Lin: that alright, since futon’s not here yet. I think we can go go ahead and check if
41 00:07:13.030 ⇒ 00:07:20.549 Amber Lin: everything, everybody has their allocations. I know that was my task earlier. I didn’t have time to do that.
42 00:07:21.592 ⇒ 00:07:24.400 Amber Lin: Product analytics in Eden.
43 00:07:25.600 ⇒ 00:07:28.688 Amber Lin: Okay, it’s Henry’s allocations.
44 00:07:35.030 ⇒ 00:07:41.440 Rico Rejoso: I mean, we can. I mean the current allocation. We can also assign it for this coming August, right?
45 00:07:41.980 ⇒ 00:07:43.690 Amber Lin: Yeah, we’re doing.
46 00:07:43.910 ⇒ 00:07:48.869 Rico Rejoso: Yeah, we just have to adjust for our Ryan, I mean, look, Luke’s hours.
47 00:07:48.870 ⇒ 00:07:49.360 Amber Lin: -
48 00:07:49.360 ⇒ 00:07:55.019 Rico Rejoso: And projects, and assign projects for Andrew and Samuel.
49 00:07:56.274 ⇒ 00:08:05.609 Amber Lin: Okay, let’s do that. So, Vashtev, I put him on ABC Eden. Oh, and okay. And Utam put in on fanstake.
50 00:08:06.380 ⇒ 00:08:12.389 Amber Lin: So see? What’s why is that?
51 00:08:16.510 ⇒ 00:08:18.620 Amber Lin: It’s 2 points are valid each week.
52 00:08:20.910 ⇒ 00:08:21.640 Amber Lin: Hmm.
53 00:08:29.480 ⇒ 00:08:36.279 Amber Lin: I’m gonna say, 25, since he only has 20 h total available.
54 00:08:51.140 ⇒ 00:08:59.440 Amber Lin: Okay, that’s good. So we allocated for vast stuff locator for me from Mustafa.
55 00:09:04.140 ⇒ 00:09:10.910 Amber Lin: Okay, ABC, probably takes 20%, 20,
56 00:09:14.740 ⇒ 00:09:16.600 Amber Lin: 25% 20.
57 00:09:19.830 ⇒ 00:09:25.310 Amber Lin: So Mustafa so has more capacity.
58 00:09:26.160 ⇒ 00:09:35.130 Amber Lin: Annie would be, and on Eden I’ll put her as
59 00:09:36.030 ⇒ 00:09:39.269 Amber Lin: I wish. How many hours should I put Annie on Eden?
60 00:09:39.660 ⇒ 00:09:42.590 Amber Lin: Do we say like 10 h per week?
61 00:09:43.700 ⇒ 00:09:47.380 Awaish Kumar: Another last like last month. It was tricky.
62 00:09:50.393 ⇒ 00:09:56.409 Awaish Kumar: I see Robert’s message, we said. We want to keep any of the same
63 00:09:57.850 ⇒ 00:10:00.010 Awaish Kumar: capacity. I’m not sure he meant
64 00:10:00.240 ⇒ 00:10:03.530 Awaish Kumar: what he means by same like 20 or 10.
65 00:10:04.330 ⇒ 00:10:08.610 Amber Lin: Hmm, I see. Okay, I said
66 00:10:09.230 ⇒ 00:10:18.000 Amber Lin: 20 per week for now. Even with that, I think Annie’s at 50% capacity.
67 00:10:18.700 ⇒ 00:10:25.499 Amber Lin: So we’ll need to allocate a bit more to her.
68 00:10:26.520 ⇒ 00:10:33.669 Awaish Kumar: Like, I said suggested like using her time on on default.
69 00:10:34.170 ⇒ 00:10:35.720 Amber Lin: Yeah, okay.
70 00:10:36.198 ⇒ 00:10:38.109 Awaish Kumar: Like for product analytics.
71 00:10:38.450 ⇒ 00:10:44.670 Awaish Kumar: So I’m not sure like, like, what what of them set
72 00:10:45.670 ⇒ 00:10:51.110 Awaish Kumar: like if we want to onboard more people on on default or not. I don’t. I’m not sure about that.
73 00:10:51.890 ⇒ 00:10:52.330 Awaish Kumar: But yeah.
74 00:10:52.710 ⇒ 00:10:58.440 Awaish Kumar: she wants. But she wants to be more on. She wants to work with product analytics. And she has the.
75 00:10:58.720 ⇒ 00:10:59.080 Awaish Kumar: That’s okay.
76 00:10:59.950 ⇒ 00:11:03.609 Awaish Kumar: We should utilize her, because, yeah.
77 00:11:04.030 ⇒ 00:11:08.160 Awaish Kumar: her time, instead of someone on our list.
78 00:11:08.740 ⇒ 00:11:18.369 Amber Lin: Yeah, okay, let me note that down. I think that’s important. So note that Annie put any one
79 00:11:18.850 ⇒ 00:11:20.340 Amber Lin: default.
80 00:11:27.360 ⇒ 00:11:28.260 Amber Lin: Hmm.
81 00:11:38.710 ⇒ 00:11:42.530 Awaish Kumar: How much she needs on ABC.
82 00:11:43.580 ⇒ 00:11:48.920 Amber Lin: Like you’ve seen. You’ve seen our meetings. There’s not much dashboarding work. It’s
83 00:11:49.060 ⇒ 00:11:52.520 Amber Lin: totally manageable with 5 5 h each week.
84 00:11:53.250 ⇒ 00:11:54.220 Awaish Kumar: Okay.
85 00:11:55.400 ⇒ 00:11:56.140 Amber Lin: Yeah.
86 00:11:56.640 ⇒ 00:12:04.399 Amber Lin: So like, right now, I know she’s spending a little bit more time on Eden. But
87 00:12:05.520 ⇒ 00:12:08.129 Amber Lin: do want her to keep it
88 00:12:08.320 ⇒ 00:12:09.989 Amber Lin: 25%, which is like.
89 00:12:11.680 ⇒ 00:12:12.410 Awaish Kumar: You’re not much.
90 00:12:12.410 ⇒ 00:12:17.269 Amber Lin: Hours, 10 h. So she has capacity.
91 00:12:17.270 ⇒ 00:12:21.010 Awaish Kumar: But for like fence tech like, is there anything she’s doing.
92 00:12:22.342 ⇒ 00:12:24.307 Amber Lin: Hasn’t started
93 00:12:25.290 ⇒ 00:12:25.820 Awaish Kumar: Oh!
94 00:12:25.820 ⇒ 00:12:34.189 Amber Lin: On when the I think the project new product starts. August 4.th So that’s when she would start helping.
95 00:12:36.660 ⇒ 00:12:44.320 Amber Lin: That’s for Demo Ade or Eden.
96 00:12:45.496 ⇒ 00:12:46.609 Amber Lin: Let’s say.
97 00:12:46.610 ⇒ 00:12:48.350 Awaish Kumar: Hang on, and.
98 00:12:48.350 ⇒ 00:12:48.870 Amber Lin: Yeah.
99 00:12:53.410 ⇒ 00:12:54.760 Amber Lin: 1, 8, 5.
100 00:13:01.500 ⇒ 00:13:03.590 Amber Lin: Then for urban stems.
101 00:13:04.470 ⇒ 00:13:14.610 Amber Lin: 10. Now, no, 20 h really is is demolantis hours, really, at 10 h each week aren’t need it.
102 00:13:18.920 ⇒ 00:13:22.090 Rico Rejoso: Yeah. Based on the previous month as well.
103 00:13:24.250 ⇒ 00:13:31.750 Amber Lin: Did he log all his hours, does he really? Huh? Then he only he’s not that books.
104 00:13:40.370 ⇒ 00:13:43.489 Amber Lin: Okay, so we’ll take a look at that
105 00:13:44.646 ⇒ 00:13:47.070 Amber Lin: I wish I know you’re on ABC.
106 00:13:47.832 ⇒ 00:13:51.360 Amber Lin: How much are you spending on the default? Consulting work.
107 00:13:54.712 ⇒ 00:14:03.530 Awaish Kumar: Like that is, that’s not continuous saying right? So like we had some
108 00:14:05.070 ⇒ 00:14:13.440 Awaish Kumar: some technical discussions with Autum and then like, for now, if they are more focused on product analytics.
109 00:14:13.740 ⇒ 00:14:14.669 Awaish Kumar: So yeah.
110 00:14:15.300 ⇒ 00:14:15.920 Amber Lin: Hmm!
111 00:14:16.090 ⇒ 00:14:16.790 Amber Lin: I see.
112 00:14:16.790 ⇒ 00:14:24.440 Awaish Kumar: I’m not sure like it. It is like need, based way they they cannot come up with something. And and we can we get we get involved in some
113 00:14:25.236 ⇒ 00:14:26.859 Awaish Kumar: consulting tasks, talk, talk.
114 00:14:27.220 ⇒ 00:14:30.660 Awaish Kumar: Otherwise it’s yeah. Otherwise it’s there’s nothing.
115 00:14:31.430 ⇒ 00:14:37.840 Amber Lin: Okay, okay. Sounds good. For Eden. How much would that be for you?
116 00:14:38.660 ⇒ 00:14:49.370 Awaish Kumar: Like last time it it is 10 h for as of now. But we want to reduce it right? Yeah, we want to give it to Vashti, and I want to reduce myself to 5 h.
117 00:14:50.020 ⇒ 00:14:52.380 Amber Lin: Hmm, okay.
118 00:14:52.380 ⇒ 00:14:55.834 Awaish Kumar: So, yeah, so 5 h where I I can just
119 00:14:56.430 ⇒ 00:15:02.750 Awaish Kumar: work on Emr part, and 5 to 7, because we do have meetings and all.
120 00:15:03.060 ⇒ 00:15:03.849 Amber Lin: Hmm, yeah.
121 00:15:03.850 ⇒ 00:15:14.090 Awaish Kumar: I, just yeah, I want to. I just want to focus on Emr work, and mostly all the work we want to move with to.
122 00:15:14.530 ⇒ 00:15:25.010 Amber Lin: Okay, that’s valid. I want to note down like, if there’s are you spending? What are you? What other parts are you spending time on?
123 00:15:28.363 ⇒ 00:15:31.190 Awaish Kumar: I’m like spending time on interviews as well.
124 00:15:31.673 ⇒ 00:15:33.289 Amber Lin: How much would that be.
125 00:15:34.300 ⇒ 00:15:38.649 Awaish Kumar: When I’m maybe 5 h per week.
126 00:15:38.650 ⇒ 00:15:41.030 Amber Lin: Okay. So I’ll note that down as well.
127 00:15:41.030 ⇒ 00:15:47.550 Awaish Kumar: Like, yeah, I have. I’ve only allocated, allocated 5 of us per week for interviews. So.
128 00:15:48.713 ⇒ 00:15:53.800 Awaish Kumar: Sometimes all the slots are booked or sometimes not. But yeah, that’s what I
129 00:15:54.540 ⇒ 00:15:57.080 Awaish Kumar: at maximum I I assigned.
130 00:15:57.980 ⇒ 00:16:02.810 Amber Lin: Okay, anything else.
131 00:16:03.180 ⇒ 00:16:05.860 Amber Lin: I just wanna make sure that I can.
132 00:16:05.860 ⇒ 00:16:06.770 Awaish Kumar: Oh!
133 00:16:07.010 ⇒ 00:16:08.310 Amber Lin: Note down what you did.
134 00:16:08.310 ⇒ 00:16:15.650 Awaish Kumar: Something every seat. Then I’m doing like one on ones with team members.
135 00:16:16.480 ⇒ 00:16:19.420 Awaish Kumar: Spreading like, yeah, I know.
136 00:16:20.240 ⇒ 00:16:20.640 Rico Rejoso: Coaching.
137 00:16:20.640 ⇒ 00:16:33.589 Awaish Kumar: With any it was any Luke, and oh, the cayo, for example.
138 00:16:33.790 ⇒ 00:16:37.490 Awaish Kumar: Now the look is not fair. Maybe I will have.
139 00:16:37.490 ⇒ 00:16:41.970 Amber Lin: You’ll have, you’ll have our stuff. So is it like 5 h.
140 00:16:41.970 ⇒ 00:16:44.280 Awaish Kumar: Yeah, it’s 3 h.
141 00:16:44.800 ⇒ 00:16:46.473 Awaish Kumar: How? Like.
142 00:16:47.730 ⇒ 00:17:02.980 Awaish Kumar: yeah, like, that’s different. I don’t know how I can like, I just have one on one, which is maybe bi-weekly. I just spend half hour with them. But sometimes there are more like unblocking them, asking if they are.
143 00:17:02.980 ⇒ 00:17:06.409 Amber Lin: I see. So I’m gonna.
144 00:17:06.742 ⇒ 00:17:07.740 Awaish Kumar: I don’t know.
145 00:17:07.960 ⇒ 00:17:12.029 Amber Lin: Yeah, I. That’s true. I just wanna account for that. I think I I need to
146 00:17:12.339 ⇒ 00:17:19.769 Amber Lin: put more on ABC, because there’s a lot of ad hoc questions that ask. They they ask you, so
147 00:17:19.910 ⇒ 00:17:24.799 Amber Lin: like, how much do you currently spend on ABC? Is it more like 5 HA week.
148 00:17:26.790 ⇒ 00:17:37.739 Awaish Kumar: Oh, sure, fire like if 5 h is valid with the with the current
149 00:17:40.570 ⇒ 00:17:46.629 Awaish Kumar: the the way it is going right now. But yeah. For example, when I had to implement thing, then it takes longer.
150 00:17:47.143 ⇒ 00:17:48.170 Amber Lin: I see.
151 00:17:48.852 ⇒ 00:17:55.750 Awaish Kumar: Setting, adding new pipelines. Yes, right now there’s none. But if something comes up.
152 00:17:55.750 ⇒ 00:17:56.600 Amber Lin: Yeah, I think.
153 00:17:56.600 ⇒ 00:17:58.380 Awaish Kumar: Now it will be going to Ashleev, so I.
154 00:17:58.380 ⇒ 00:18:01.189 Amber Lin: Yeah. So I think for August, this will be fine.
155 00:18:01.600 ⇒ 00:18:06.270 Amber Lin: So for Eden, okay.
156 00:18:08.710 ⇒ 00:18:17.099 Amber Lin: I know you’re gonna hand off to vash. Dev, I’m gonna say 25, because you still answer people’s questions. I’m gonna keep it as
157 00:18:17.800 ⇒ 00:18:21.879 Amber Lin: this, for now and then, hopefully, by next
158 00:18:22.958 ⇒ 00:18:34.690 Amber Lin: next month we’ll aim for like 5 h. I just want to give us some leeway, because when you hand off and on board you’ll still be answering some questions.
159 00:18:35.240 ⇒ 00:18:42.410 Awaish Kumar: Yeah, I will be like, have tech leading it. So all the architecture.
160 00:18:43.010 ⇒ 00:18:44.800 Amber Lin: Yeah, so it will still come to you.
161 00:18:45.360 ⇒ 00:18:51.740 Amber Lin: We’re gonna add hiring just to myself as well.
162 00:19:12.110 ⇒ 00:19:14.929 Awaish Kumar: Then I’m part of AI team as well.
163 00:19:14.930 ⇒ 00:19:15.420 Amber Lin: Hmm!
164 00:19:15.800 ⇒ 00:19:16.650 Amber Lin: I didn’t get it.
165 00:19:16.650 ⇒ 00:19:17.780 Amber Lin: I’m not.
166 00:19:19.000 ⇒ 00:19:22.040 Awaish Kumar: Data platform. AI. So I’m kind of
167 00:19:22.720 ⇒ 00:19:29.690 Awaish Kumar: not like, I don’t much had not have. Don’t have enough to do. But yeah.
168 00:19:29.975 ⇒ 00:19:30.259 Amber Lin: Sometimes.
169 00:19:30.260 ⇒ 00:19:34.599 Awaish Kumar: Sometimes I join their setups work on some pipeline.
170 00:19:34.650 ⇒ 00:19:35.300 Amber Lin: Yeah.
171 00:19:35.300 ⇒ 00:19:40.119 Awaish Kumar: Help fix them. Yeah, like, on a need based, I am. There.
172 00:19:40.120 ⇒ 00:19:41.660 Amber Lin: So I’ll say 5 HA week.
173 00:19:42.230 ⇒ 00:19:42.784 Awaish Kumar: Yeah.
174 00:19:43.340 ⇒ 00:19:44.040 Amber Lin: Okay.
175 00:19:51.810 ⇒ 00:19:59.569 Amber Lin: sounds good. You’re at 70%. And then and then we have internal meetings. So I will just put that there
176 00:20:00.240 ⇒ 00:20:05.770 Amber Lin: and then let’s look at Kyle. So Kyle is going to be on urban stems.
177 00:20:06.270 ⇒ 00:20:13.370 Amber Lin: And what other things are Kyle on is Kyle on?
178 00:20:14.300 ⇒ 00:20:17.420 Amber Lin: Don’t think so right.
179 00:20:18.630 ⇒ 00:20:20.599 Awaish Kumar: No, it’s only on Albert’s jam, I think.
180 00:20:20.930 ⇒ 00:20:22.280 Awaish Kumar: Yeah, okay.
181 00:20:24.890 ⇒ 00:20:26.600 Amber Lin: But Kyle has capacity.
182 00:20:27.893 ⇒ 00:20:32.470 Amber Lin: Luke will details.
183 00:20:32.470 ⇒ 00:20:34.010 Awaish Kumar: No longer. Yeah.
184 00:20:34.010 ⇒ 00:20:36.370 Amber Lin: Yeah, so archive.
185 00:20:42.520 ⇒ 00:20:48.409 Amber Lin: And then so Sam would probably be helping on.
186 00:20:48.770 ⇒ 00:20:49.590 Amber Lin: ABC.
187 00:20:50.980 ⇒ 00:20:52.280 Uttam Kumaran: Guys sorry.
188 00:20:52.420 ⇒ 00:20:53.140 Amber Lin: Hi!
189 00:20:53.140 ⇒ 00:20:53.730 Amber Lin: No worries.
190 00:20:53.730 ⇒ 00:20:55.489 Uttam Kumaran: Has been on 2 back to back.
191 00:20:55.600 ⇒ 00:20:57.900 Uttam Kumaran: Actually, I’ve been on like 4 back to back calls.
192 00:20:57.900 ⇒ 00:20:58.620 Amber Lin: Oh, my! Gosh!
193 00:20:58.620 ⇒ 00:21:01.760 Uttam Kumaran: Call with a great Pm. Candidate, perfect.
194 00:21:01.760 ⇒ 00:21:02.150 Amber Lin: Yeah.
195 00:21:02.150 ⇒ 00:21:03.720 Uttam Kumaran: Level for us.
196 00:21:04.150 ⇒ 00:21:12.640 Amber Lin: Okay, I’m so excited. I also had. I also had a call with someone. But I think I’m not as enthusiastic about them
197 00:21:13.320 ⇒ 00:21:18.880 Amber Lin: decent. So I would love to see what this person is like. I talked to Usama.
198 00:21:19.440 ⇒ 00:21:20.389 Uttam Kumaran: Okay. Okay.
199 00:21:21.000 ⇒ 00:21:26.890 Amber Lin: Yeah, I have all the notes so allocating.
200 00:21:27.850 ⇒ 00:21:32.519 Amber Lin: Wait. Do we say Sam had 20 h per week, or does he have 10 h per week?
201 00:21:33.450 ⇒ 00:21:34.020 Uttam Kumaran: Hey?
202 00:21:34.688 ⇒ 00:21:37.079 Uttam Kumaran: Said. I told him 10,
203 00:21:37.370 ⇒ 00:21:40.019 Uttam Kumaran: but I would. I would budget for 20.
204 00:21:40.260 ⇒ 00:21:40.850 Amber Lin: That’s okay.
205 00:21:41.370 ⇒ 00:21:43.309 Uttam Kumaran: Feel like 10 is gonna be a little bit tough.
206 00:21:43.530 ⇒ 00:21:45.800 Uttam Kumaran: But ideally we come under that.
207 00:21:46.340 ⇒ 00:21:51.410 Amber Lin: Okay, valid. He’s gonna be on ABC. And the what other projects.
208 00:21:55.835 ⇒ 00:21:56.540 Awaish Kumar: Operation.
209 00:21:57.290 ⇒ 00:22:01.740 Amber Lin: Okay, how much? I’ll just also say he spends 5 h there.
210 00:22:02.340 ⇒ 00:22:06.230 Amber Lin: Oh, end of August.
211 00:22:07.960 ⇒ 00:22:11.660 Amber Lin: Okay, I didn’t.
212 00:22:14.120 ⇒ 00:22:15.540 Amber Lin: That’s for Sam.
213 00:22:38.870 ⇒ 00:22:39.819 Amber Lin: Never mind.
214 00:22:48.830 ⇒ 00:22:53.789 Amber Lin: okay, so, Mustafa, we allocated.
215 00:22:55.820 ⇒ 00:23:06.330 Amber Lin: So this is based on what we have here. This is Mustafa’s allocations for August. He’s only I know he’s working on internal stuff, too, but this is what it looks like.
216 00:23:06.510 ⇒ 00:23:10.159 Amber Lin: I know he I know he has 40 h solo available.
217 00:23:13.710 ⇒ 00:23:16.900 Amber Lin: How much do we need him on the AI on the AI team.
218 00:23:20.350 ⇒ 00:23:22.349 Uttam Kumaran: In sales one more time. Sorry.
219 00:23:23.073 ⇒ 00:23:35.280 Amber Lin: So I’m looking at Mustafas allocations right now. So on. ABC. He probably spends from 8 to 10 h. I’m trying to keep it at 8. Usually it’s it is at 8. He’s on default and on interlude.
220 00:23:35.280 ⇒ 00:23:40.230 Uttam Kumaran: It’s 8. It’s it’s 8 h like, okay, I guess 8 h is one day technically right? So.
221 00:23:43.050 ⇒ 00:23:50.760 Uttam Kumaran: Okay, so like, do we want to do minimum allocations, you know, like
222 00:23:51.480 ⇒ 00:23:55.710 Uttam Kumaran: you, because I don’t want to get to like, oh, 1, 1 h here, 2 h there.
223 00:23:55.870 ⇒ 00:23:59.999 Uttam Kumaran: like, should we do? A minimum of 8 h if you’re allocated to the project.
224 00:24:00.890 ⇒ 00:24:03.589 Amber Lin: I think, minimum of 5 HI would say.
225 00:24:06.830 ⇒ 00:24:08.230 Amber Lin: if cause I’m.
226 00:24:08.230 ⇒ 00:24:09.089 Uttam Kumaran: Any thoughts.
227 00:24:09.773 ⇒ 00:24:19.610 Amber Lin: I’m just thinking of. If a waste and whoever’s tech leading, they wouldn’t. I don’t want them to spend more than 8 h. But if you’re working on it, then maybe a higher minimum is needed.
228 00:24:20.120 ⇒ 00:24:25.680 Uttam Kumaran: Since that. Like, if we consider people are, people have like 80% like allocation.
229 00:24:25.940 ⇒ 00:24:30.019 Uttam Kumaran: It’s just like, I don’t. I don’t. I just don’t know whether, like 5 h.
230 00:24:30.280 ⇒ 00:24:32.689 Uttam Kumaran: it’s 1 h, 1 HA day.
231 00:24:34.450 ⇒ 00:24:41.459 Uttam Kumaran: I don’t know, Rico, do you guys have any thoughts? I’m just like curious on it. We should do anything minimum smaller than 8.
232 00:24:44.120 ⇒ 00:24:44.630 Rico Rejoso: Yeah.
233 00:24:45.085 ⇒ 00:24:46.670 Awaish Kumar: Like so
234 00:24:47.340 ⇒ 00:24:53.879 Awaish Kumar: like, for for even for tech leaves, I I see like we spend. If we join, only stand up and
235 00:24:54.040 ⇒ 00:25:00.299 Awaish Kumar: planning meetings. It’s it’s like, almost 5 h, 3, 3, 4,
236 00:25:00.660 ⇒ 00:25:03.909 Awaish Kumar: and there’s nothing much left to do anything else.
237 00:25:06.400 ⇒ 00:25:09.959 Awaish Kumar: So so you don’t need that.
238 00:25:13.100 ⇒ 00:25:17.619 Awaish Kumar: Yeah, we have. We do have like 5 to 8 could be.
239 00:25:20.380 ⇒ 00:25:29.800 Rico Rejoso: Yeah, cause I I think, right now, what we have on operating are only the hours or allocation per client. So most of the internal stuff are not
240 00:25:30.010 ⇒ 00:25:40.219 Rico Rejoso: posted on operating it. So it’s showing less than like 4. I mean, not around 80 to 100% of the allocation of their time allocation.
241 00:25:41.350 ⇒ 00:25:42.830 Rico Rejoso: So I think if we
242 00:25:42.950 ⇒ 00:25:50.330 Rico Rejoso: post all the internal stuff as well, it will come it around 80 to a hundred percent allocation.
243 00:25:59.830 ⇒ 00:26:03.439 Amber Lin: Is that a yes or a no for 8 h? Minimum.
244 00:26:04.240 ⇒ 00:26:05.160 Rico Rejoso: No.
245 00:26:06.580 ⇒ 00:26:08.150 Amber Lin: I think we should try it out.
246 00:26:08.380 ⇒ 00:26:09.489 Amber Lin: Yeah, yeah.
247 00:26:09.490 ⇒ 00:26:10.730 Amber Lin: Try it out. We’ll see.
248 00:26:11.850 ⇒ 00:26:13.079 Amber Lin: Oh, yeah, I think.
249 00:26:13.080 ⇒ 00:26:16.330 Uttam Kumaran: 8 h minimum is good. That’s about 5 h. Minimum.
250 00:26:16.840 ⇒ 00:26:17.850 Amber Lin: Okay.
251 00:26:18.255 ⇒ 00:26:18.660 Uttam Kumaran: Because.
252 00:26:18.660 ⇒ 00:26:19.240 Amber Lin: Valid.
253 00:26:19.240 ⇒ 00:26:25.490 Uttam Kumaran: I’ll give you a sense that, like I think over time, we’re gonna have most engineers allocated to just like
254 00:26:26.390 ⇒ 00:26:32.780 Uttam Kumaran: 2 projects mount like a lot of our contracts are gonna get bigger and
255 00:26:33.480 ⇒ 00:26:37.339 Uttam Kumaran: ideally, people are allocated full time. And just one contract.
256 00:26:38.350 ⇒ 00:26:43.360 Uttam Kumaran: I don’t know how much I’m starting to realize like I don’t know.
257 00:26:43.850 ⇒ 00:26:50.280 Uttam Kumaran: the engineers are gonna be able to context switch across more than 2 clients or 3 clients.
258 00:26:50.280 ⇒ 00:26:50.770 Amber Lin: -
259 00:26:50.770 ⇒ 00:26:52.490 Uttam Kumaran: Perfect, so.
260 00:26:56.330 ⇒ 00:27:02.200 Amber Lin: Yeah, okay, so I’m gonna edit edit this
261 00:27:02.470 ⇒ 00:27:06.000 Amber Lin: 2020%, which is 8 h.
262 00:27:06.190 ⇒ 00:27:12.289 Amber Lin: And I edit a wishes time on ABC to 8 h, because I think you’ll probably end up spending that as well.
263 00:27:19.340 ⇒ 00:27:20.130 Amber Lin: alright.
264 00:27:24.700 ⇒ 00:27:27.529 Amber Lin: alright. So I think we have most.
265 00:27:28.120 ⇒ 00:27:36.910 Amber Lin: I think everyone has their hours. I just wanna go through people’s capacity together just to see who we wanna add where
266 00:27:37.470 ⇒ 00:27:42.650 Amber Lin: I’m gonna add Andrew to Eden for now see
267 00:27:43.820 ⇒ 00:27:46.789 Amber Lin: how many times total do we have from Andrew.
268 00:27:48.960 ⇒ 00:27:50.020 Rico Rejoso: Than hours.
269 00:27:50.660 ⇒ 00:27:54.920 Amber Lin: 10 h. So okay, so he’s spending all that.
270 00:27:55.120 ⇒ 00:27:56.310 Amber Lin: Oh, he didn’t.
271 00:27:56.860 ⇒ 00:28:07.860 Amber Lin: Okay, all right. Starting with Miguel. Miguel’s only on pool parts and ait that’s
272 00:28:08.010 ⇒ 00:28:10.859 Amber Lin: bullparts takes up 25% of his time.
273 00:28:15.730 ⇒ 00:28:16.110 Uttam Kumaran: Not even.
274 00:28:16.110 ⇒ 00:28:18.070 Amber Lin: Do you want to add him to anywhere else.
275 00:28:20.290 ⇒ 00:28:21.889 Uttam Kumaran: 25% is how much.
276 00:28:22.550 ⇒ 00:28:22.890 Amber Lin: Cool.
277 00:28:22.890 ⇒ 00:28:23.430 Rico Rejoso: Microsoft.
278 00:28:23.430 ⇒ 00:28:26.699 Amber Lin: And 40 h, so that would be 10 h.
279 00:28:29.748 ⇒ 00:28:33.179 Uttam Kumaran: I would probably set it to 5 h.
280 00:28:33.570 ⇒ 00:28:34.390 Amber Lin: Oh, okay.
281 00:28:34.830 ⇒ 00:28:36.749 Uttam Kumaran: Well, actually, we said, no file.
282 00:28:37.140 ⇒ 00:28:40.259 Amber Lin: Yeah. So I’m gonna say, 2020%. That’s 8 h.
283 00:28:41.690 ⇒ 00:28:45.750 Uttam Kumaran: This is the thing like we don’t even have the pause work. So
284 00:28:46.390 ⇒ 00:28:49.723 Uttam Kumaran: I would honestly just include it at.
285 00:28:52.330 ⇒ 00:28:55.390 Amber Lin: Sorry your audio is a little bit choppy. I didn’t get all of that.
286 00:28:55.390 ⇒ 00:28:57.158 Uttam Kumaran: Oh, sorry! Hold on one second. Let me
287 00:28:58.620 ⇒ 00:28:59.640 Uttam Kumaran: Is it better now?
288 00:28:59.890 ⇒ 00:29:00.870 Amber Lin: Yeah, it’s better.
289 00:29:01.561 ⇒ 00:29:03.320 Uttam Kumaran: I would say, put it at 0.
290 00:29:04.700 ⇒ 00:29:05.360 Amber Lin: Hmm.
291 00:29:08.590 ⇒ 00:29:11.500 Amber Lin: okay. So Miguel’s only internal right now.
292 00:29:12.320 ⇒ 00:29:13.180 Uttam Kumaran: That’s correct.
293 00:29:14.202 ⇒ 00:29:21.040 Uttam Kumaran: I mean, he’s like, There, there, I would say, like, I want to keep it at 0, because they they told us they’re pausing some stuff.
294 00:29:21.570 ⇒ 00:29:23.239 Amber Lin: Oh, oh, yeah.
295 00:29:23.240 ⇒ 00:29:24.820 Uttam Kumaran: We do is not expected.
296 00:29:25.370 ⇒ 00:29:25.760 Amber Lin: Boom.
297 00:29:25.760 ⇒ 00:29:27.309 Uttam Kumaran: Is that like logic, make sense.
298 00:29:27.490 ⇒ 00:29:28.570 Amber Lin: Yeah. Totally.
299 00:29:29.750 ⇒ 00:29:31.510 Uttam Kumaran: Like. I don’t expect there to be work.
300 00:29:32.390 ⇒ 00:29:35.149 Amber Lin: Yeah, if they if there’s 1 really better. Yes.
301 00:29:36.669 ⇒ 00:29:42.069 Amber Lin: okay. So he’s internal. And then just gonna allocate.
302 00:29:42.300 ⇒ 00:29:48.140 Amber Lin: Do you want to take in monte like projects like default interlude. You want to take Mustafa instead.
303 00:29:49.268 ⇒ 00:29:50.810 Uttam Kumaran: I want to take Mustafa.
304 00:29:51.080 ⇒ 00:29:51.770 Amber Lin: Okay.
305 00:29:52.830 ⇒ 00:29:53.880 Uttam Kumaran: So let me.
306 00:29:53.880 ⇒ 00:29:54.680 Amber Lin: Like someone else.
307 00:29:54.680 ⇒ 00:29:56.870 Uttam Kumaran: I’m gonna log into operating as well.
308 00:29:56.870 ⇒ 00:29:57.480 Amber Lin: Okay.
309 00:29:57.790 ⇒ 00:29:58.819 Uttam Kumaran: To your queue.
310 00:30:04.370 ⇒ 00:30:07.469 Amber Lin: You know, what should I keep? Yeah, I’ll keep it.
311 00:30:08.870 ⇒ 00:30:13.680 Amber Lin: And for Mustafa he’s on also on an AI team.
312 00:30:16.450 ⇒ 00:30:17.185 Amber Lin: And
313 00:30:40.240 ⇒ 00:30:41.170 Amber Lin: okay.
314 00:30:41.580 ⇒ 00:30:49.880 Amber Lin: So Mustafa after his hours on the client team. He has about 40% for the AI team.
315 00:30:52.850 ⇒ 00:30:58.420 Amber Lin: which is like probably 1817 h.
316 00:30:59.200 ⇒ 00:31:01.800 Amber Lin: Someone that goes to the company meetings.
317 00:31:02.570 ⇒ 00:31:04.809 Uttam Kumaran: So you’re you’re looking at Mustafa right now.
318 00:31:04.950 ⇒ 00:31:05.550 Amber Lin: Yeah.
319 00:31:07.520 ⇒ 00:31:10.380 Uttam Kumaran: So Mustafa is August first.st
320 00:31:11.380 ⇒ 00:31:14.429 Uttam Kumaran: It’s gonna be 20%, 20%, 20%, 40%.
321 00:31:15.220 ⇒ 00:31:24.039 Uttam Kumaran: So 20% trying to do is math can I have it? Say, hours, instead of percent.
322 00:31:24.040 ⇒ 00:31:26.980 Amber Lin: I wanted to. I wanted to. I don’t know how.
323 00:31:27.460 ⇒ 00:31:32.030 Uttam Kumaran: Can you? Can someone send that to the operating team and ask for them to build that.
324 00:31:32.550 ⇒ 00:31:35.469 Amber Lin: Yes, please. Okay. Note. We’ll note that.
325 00:31:36.380 ⇒ 00:31:40.080 Uttam Kumaran: Or Rico. Yeah, you can literally screenshot it and be like, Hey, do you guys mind.
326 00:31:40.840 ⇒ 00:31:41.610 Rico Rejoso: Like setting.
327 00:31:41.610 ⇒ 00:31:47.299 Uttam Kumaran: Allowing us to allowing us to toggle hours instead of percents. Okay, so ABC, is 20.
328 00:31:48.680 ⇒ 00:31:50.749 Amber Lin: 8 h. So 20% is 8 h.
329 00:31:51.600 ⇒ 00:31:55.400 Uttam Kumaran: 8, 8, 8, I would just do
330 00:31:56.630 ⇒ 00:31:59.340 Uttam Kumaran: I would do the same thing. So AI automation is gonna be 20%.
331 00:31:59.340 ⇒ 00:32:00.630 Amber Lin: Okay, valid.
332 00:32:01.110 ⇒ 00:32:02.270 Amber Lin: Oh.
333 00:32:13.752 ⇒ 00:32:14.520 Amber Lin: and then I’m like.
334 00:32:14.520 ⇒ 00:32:17.960 Uttam Kumaran: I’m gonna do. I’m gonna Delete Miguel’s pool parts.
335 00:32:18.745 ⇒ 00:32:18.989 Amber Lin: Okay.
336 00:32:18.990 ⇒ 00:32:19.660 Uttam Kumaran: Location.
337 00:32:19.910 ⇒ 00:32:21.030 Amber Lin: Yeah, I’ll delete it.
338 00:32:22.080 ⇒ 00:32:22.760 Uttam Kumaran: I just did.
339 00:32:23.333 ⇒ 00:32:24.479 Uttam Kumaran: Okay. Great.
340 00:32:26.420 ⇒ 00:32:32.670 Amber Lin: So, or Casey, ABC. 8 h off the record.
341 00:32:32.940 ⇒ 00:32:37.379 Uttam Kumaran: So off. The record ended on in on in July.
342 00:32:37.380 ⇒ 00:32:37.930 Amber Lin: Oh!
343 00:32:37.930 ⇒ 00:32:38.430 Uttam Kumaran: Bye.
344 00:32:38.430 ⇒ 00:32:39.040 Amber Lin: Oh, okay.
345 00:32:39.040 ⇒ 00:32:40.899 Uttam Kumaran: So I’m gonna go ahead and
346 00:32:42.510 ⇒ 00:32:45.180 Uttam Kumaran: yeah, I’m gonna go ahead and delete this.
347 00:32:47.160 ⇒ 00:32:50.789 Uttam Kumaran: Yeah, delete his allocation. Yeah, okay, you got it. Okay, great.
348 00:32:51.320 ⇒ 00:32:57.899 Uttam Kumaran: And then so he’s going to be 20%. ABC, I honestly think his time is longer for ABC, though.
349 00:32:58.420 ⇒ 00:32:59.870 Amber Lin: Yeah. Yeah. Valid.
350 00:32:59.870 ⇒ 00:33:02.130 Uttam Kumaran: Can we? Can we see how much he’s been spending.
351 00:33:02.440 ⇒ 00:33:05.790 Amber Lin: Yeah, I will in a sec. Let me go. There.
352 00:33:18.630 ⇒ 00:33:19.990 Uttam Kumaran: And we can’t see that in here.
353 00:33:21.370 ⇒ 00:33:23.739 Amber Lin: Hmm, oh, yeah, we can.
354 00:33:23.740 ⇒ 00:33:26.439 Uttam Kumaran: Can you? Can you see it in operating? Oh, it’s in ours.
355 00:33:28.730 ⇒ 00:33:30.850 Amber Lin: Give me a sec.
356 00:33:31.890 ⇒ 00:33:33.040 Uttam Kumaran: So chase, see.
357 00:33:33.040 ⇒ 00:33:34.400 Amber Lin: ABC.
358 00:33:35.730 ⇒ 00:33:37.450 Amber Lin: With details.
359 00:33:38.370 ⇒ 00:33:40.020 Amber Lin: Time tracking.
360 00:33:40.020 ⇒ 00:33:44.549 Uttam Kumaran: I mean, it looks like he’s spending about 6 h, and then.
361 00:33:45.450 ⇒ 00:33:52.939 Uttam Kumaran: 7 h, 6 h, 6 h. Yeah, it’s about 6, about 8 h.
362 00:33:56.060 ⇒ 00:33:58.840 Amber Lin: I’m trying trying to keep their hours low.
363 00:34:00.440 ⇒ 00:34:02.810 Uttam Kumaran: Okay. So I would just put him at 8 h.
364 00:34:02.960 ⇒ 00:34:03.630 Amber Lin: Okay.
365 00:34:22.989 ⇒ 00:34:30.080 Amber Lin: okay, Rico, I’ll let you archive this and then alright.
366 00:34:30.820 ⇒ 00:34:34.199 Amber Lin: So the rest of his time goes to AI team.
367 00:34:35.489 ⇒ 00:34:36.780 Amber Lin: My invoice.
368 00:34:38.560 ⇒ 00:34:44.789 Amber Lin: Oh, here we go, AI team. So that would be 60%,
369 00:34:45.850 ⇒ 00:34:48.309 Amber Lin: 60% on the AI team.
370 00:34:50.980 ⇒ 00:34:52.010 Amber Lin: All right.
371 00:34:52.400 ⇒ 00:34:54.600 Amber Lin: So that’s all the air engineers
372 00:34:55.040 ⇒ 00:35:08.880 Amber Lin: for Sam. We looked at that. Okay, he’s on ABC, and then the AI team for Kyle. Currently he’s only on urban stems. He should just spend 20 h on urban stems. He’s not on any other projects yet.
373 00:35:13.150 ⇒ 00:35:15.399 Uttam Kumaran: Yes, it’s just urban sense, for now.
374 00:35:15.400 ⇒ 00:35:23.380 Amber Lin: Yeah, I would love. For once we see how vast stuff is. I would love for someone to help.
375 00:35:25.450 ⇒ 00:35:26.530 Amber Lin: Yeah, I agree.
376 00:35:26.530 ⇒ 00:35:29.792 Amber Lin: Yeah, okay, okay, as long as we agree.
377 00:35:30.570 ⇒ 00:35:36.640 Amber Lin: Okay? And then for a wish, we already did it did the allocations. I just added
378 00:35:37.200 ⇒ 00:35:44.139 Amber Lin: coaching and hiring so that we can see overall how wishes allocated. We’re at 80%. So I think we’re good
379 00:35:44.866 ⇒ 00:35:56.860 Amber Lin: for Eden. I said. 10. We said 10 h for now, because we’re onboarding still needs to be there for a bit, and then next month we’re aiming for 5,
380 00:35:58.840 ⇒ 00:36:01.550 Amber Lin: and that’s Demo. Laude is on.
381 00:36:01.550 ⇒ 00:36:07.829 Uttam Kumaran: Fan. So fan sake, I’m gonna remove for now. Well, I’m just not gonna put any.
382 00:36:08.170 ⇒ 00:36:10.019 Uttam Kumaran: We they haven’t signed so.
383 00:36:10.450 ⇒ 00:36:11.260 Amber Lin: Oh!
384 00:36:11.260 ⇒ 00:36:12.410 Uttam Kumaran: Allocated there.
385 00:36:12.930 ⇒ 00:36:13.660 Amber Lin: Okay.
386 00:36:14.800 ⇒ 00:36:15.679 Uttam Kumaran: Sounds good.
387 00:36:16.330 ⇒ 00:36:18.469 Amber Lin: Oh, it’s it’s all tentative.
388 00:36:20.081 ⇒ 00:36:24.739 Uttam Kumaran: See, yeah, these are all. Oh, these are actually not tentative. So let me delete these.
389 00:36:24.740 ⇒ 00:36:26.540 Amber Lin: Yeah, yeah, let’s do. That
390 00:36:28.670 ⇒ 00:36:37.940 Amber Lin: is on Eden and Urban stands. Urban Stent takes about 20 h each week. Eden should take about 10 each week.
391 00:36:38.470 ⇒ 00:36:46.460 Amber Lin: That seems to be the case before. So he’s at 75%, which is like about 80, like, pretty decent.
392 00:36:48.670 ⇒ 00:36:52.940 Amber Lin: Okay, I’m gonna Skip Ryan.
393 00:36:53.827 ⇒ 00:36:59.059 Amber Lin: Annie’s under allocated, especially now that we’ve
394 00:36:59.460 ⇒ 00:37:05.630 Amber Lin: looked at ABC. There’s no there’s not really more than 5 HA week.
395 00:37:06.110 ⇒ 00:37:09.480 Amber Lin: 5 h of work each week, and for Eden
396 00:37:09.620 ⇒ 00:37:11.940 Amber Lin: we’re saying 10 h per week.
397 00:37:15.200 ⇒ 00:37:22.350 Amber Lin: She’s at now. She’s at like 15 h allocated each week.
398 00:37:22.720 ⇒ 00:37:25.120 Amber Lin: What do we do with her? Extra time?
399 00:37:39.470 ⇒ 00:37:47.279 Uttam Kumaran: Yeah, it’s a good question. Like I I would like for her to take on some of the stuff that Robert is doing like for spark, plug, and.
400 00:37:48.020 ⇒ 00:37:49.380 Uttam Kumaran: Insomnia. But
401 00:37:53.760 ⇒ 00:37:54.570 Uttam Kumaran: I don’t know.
402 00:37:54.570 ⇒ 00:37:59.390 Amber Lin: She doesn’t do much of analysis. She does dashboarding.
403 00:38:03.390 ⇒ 00:38:08.619 Uttam Kumaran: But are we like, have we asked her to, or like like, what’s the problem?
404 00:38:10.810 ⇒ 00:38:18.779 Uttam Kumaran: Because I don’t care about what people are capable, like people want to do dashboarding, only like we don’t have a role for that.
405 00:38:19.660 ⇒ 00:38:20.280 Amber Lin: Okay.
406 00:38:20.740 ⇒ 00:38:24.560 Uttam Kumaran: I don’t have a dashboarding, only role like she has to do analysis with it.
407 00:38:24.800 ⇒ 00:38:29.540 Uttam Kumaran: So what analysis work is happening in the company is probably my question, and like, How can we have our ticket?
408 00:38:31.390 ⇒ 00:38:32.140 Amber Lin: Okay.
409 00:38:32.730 ⇒ 00:38:33.480 Uttam Kumaran: By the same.
410 00:38:33.480 ⇒ 00:38:36.320 Uttam Kumaran: If fans take bits I can get her some more.
411 00:38:36.550 ⇒ 00:38:38.689 Uttam Kumaran: Probably my pitch.
412 00:38:39.410 ⇒ 00:38:45.049 Amber Lin: Okay? I know for insomnia cookies. There’s gonna be need for
413 00:38:46.200 ⇒ 00:39:07.680 Amber Lin: So there’s 2 workflows, one’s manual because we, the current work right now is helping them fill in a spreadsheet that their marketing head has to pull data to fill in manually every day. So we have 2 workflows, one manual and one to automate it. So it’s not really analysts work yet on insomnia cookies.
414 00:39:09.700 ⇒ 00:39:10.350 Uttam Kumaran: Okay.
415 00:39:11.070 ⇒ 00:39:12.820 Awaish Kumar: Like? Can’t she be.
416 00:39:12.820 ⇒ 00:39:15.570 Uttam Kumaran: We think insomnia is gonna sign
417 00:39:15.750 ⇒ 00:39:20.930 Uttam Kumaran: for a renewal. Maybe we shouldn’t put her a tentative for September. Then.
418 00:39:21.330 ⇒ 00:39:22.350 Amber Lin: Hmm, okay.
419 00:39:23.950 ⇒ 00:39:24.640 Uttam Kumaran: Right.
420 00:39:25.420 ⇒ 00:39:31.290 Amber Lin: Yeah, where is it here?
421 00:39:32.360 ⇒ 00:39:34.010 Amber Lin: So.
422 00:39:35.746 ⇒ 00:39:37.079 Awaish Kumar: About default.
423 00:39:43.980 ⇒ 00:39:50.920 Amber Lin: Don’t think there’s. Is there product analytics work yet for default?
424 00:39:52.460 ⇒ 00:39:53.439 Amber Lin: I know there is.
425 00:39:53.440 ⇒ 00:39:55.840 Uttam Kumaran: And but Henry was gonna do that.
426 00:39:56.050 ⇒ 00:39:56.820 Amber Lin: Yeah.
427 00:39:59.580 ⇒ 00:40:05.379 Uttam Kumaran: So once Henry has data, I can probably loop her in, but I don’t know what.
428 00:40:05.770 ⇒ 00:40:07.740 Uttam Kumaran: Not sure what the timeframe is going to be at.
429 00:40:16.410 ⇒ 00:40:19.920 Amber Lin: Okay. Is she helping on any of the internal dashboarding.
430 00:40:21.250 ⇒ 00:40:26.020 Uttam Kumaran: No, but I just don’t have time to like manage that. So.
431 00:40:26.020 ⇒ 00:40:26.430 Amber Lin: I see.
432 00:40:26.430 ⇒ 00:40:27.060 Uttam Kumaran: Like
433 00:40:27.490 ⇒ 00:40:33.729 Uttam Kumaran: someone, if if that, if if we I would love for her to do that work, I just can’t manage it. I don’t. I can’t like.
434 00:40:33.730 ⇒ 00:40:34.120 Amber Lin: Yes.
435 00:40:34.120 ⇒ 00:40:36.380 Uttam Kumaran: Tickets and make sure there’s output like.
436 00:40:36.741 ⇒ 00:40:46.849 Amber Lin: That’s valid. I think we wish you and I could try and own that I know we already had a plan for the interns, we should probably.
437 00:40:46.850 ⇒ 00:40:50.109 Uttam Kumaran: All the intern work. And David said, Voshtow, so.
438 00:40:50.110 ⇒ 00:40:50.680 Amber Lin: Oh, okay.
439 00:40:50.680 ⇒ 00:40:58.440 Uttam Kumaran: If both, if both of them can take it and you take advantage, that’d be great. I I would literally do it. We’re we’re just like I just don’t have to.
440 00:40:58.440 ⇒ 00:41:01.480 Amber Lin: Yeah, totally valid to own and.
441 00:41:01.480 ⇒ 00:41:08.210 Awaish Kumar: Yeah, like he can handle like da work for the interns and
442 00:41:08.610 ⇒ 00:41:13.089 Awaish Kumar: all the dashboarding we we can assign it to any.
443 00:41:13.420 ⇒ 00:41:14.000 Amber Lin: Okay.
444 00:41:14.000 ⇒ 00:41:14.670 Uttam Kumaran: Okay.
445 00:41:16.005 ⇒ 00:41:21.030 Amber Lin: Let’s see. So okay.
446 00:41:44.400 ⇒ 00:41:46.160 Amber Lin: okay, that’s Penny.
447 00:41:46.620 ⇒ 00:41:54.540 Amber Lin: And then Vashav, I said, ABC and Eden.
448 00:41:55.310 ⇒ 00:41:57.720 Amber Lin: ABC probably will take less of his time.
449 00:41:57.830 ⇒ 00:42:02.089 Amber Lin: Oh, in that case, let me add the internal project.
450 00:42:03.470 ⇒ 00:42:05.619 Amber Lin: It’s it’s data platform, right?
451 00:42:09.600 ⇒ 00:42:15.410 Amber Lin: I wish. How much would it take Annie on the internal platform, like. How many hours a week
452 00:42:15.610 ⇒ 00:42:17.749 Amber Lin: is it more like 8 HA week.
453 00:42:17.750 ⇒ 00:42:20.120 Uttam Kumaran: Yeah, minimum. Okay?
454 00:42:24.170 ⇒ 00:42:28.450 Uttam Kumaran: But like, if whatever time she’s not allocated needs to go to that.
455 00:42:29.030 ⇒ 00:42:30.399 Amber Lin: Okay. Yeah. Valid.
456 00:42:30.400 ⇒ 00:42:31.140 Uttam Kumaran: Yeah.
457 00:42:31.140 ⇒ 00:42:33.430 Amber Lin: So that would be
458 00:42:40.820 ⇒ 00:42:42.040 Amber Lin: 40%.
459 00:42:46.440 ⇒ 00:42:52.590 Amber Lin: Gonna add that to how long would it take? Vashtev
460 00:42:54.250 ⇒ 00:42:58.530 Amber Lin: also? Minimum 8 h. No, he only has 20 h total.
461 00:43:00.190 ⇒ 00:43:04.620 Awaish Kumar: Yeah, like between like ABC and internal.
462 00:43:05.370 ⇒ 00:43:09.499 Awaish Kumar: like half of time on Indian and half on on both of these.
463 00:43:10.073 ⇒ 00:43:15.300 Amber Lin: Okay, Dallas. So that would be like 5 HA week, we can work with that
464 00:43:15.680 ⇒ 00:43:27.680 Amber Lin: okay, I will add myself, there, like, maybe like, been now 2 h.
465 00:43:33.990 ⇒ 00:43:36.060 Amber Lin: Okay.
466 00:43:42.940 ⇒ 00:43:50.260 Amber Lin: and add that always to you, so that we remember of oh.
467 00:43:55.950 ⇒ 00:43:57.860 Amber Lin: that covers everybody.
468 00:44:10.570 ⇒ 00:44:12.600 Amber Lin: Andrew Henry.
469 00:44:15.290 ⇒ 00:44:24.070 Amber Lin: like ideally Utam, and I want to see Utam’s and Robert’s time, just so that we know how much we’re leaning on them for stuff.
470 00:44:25.720 ⇒ 00:44:30.540 Amber Lin: But and so do you want to do that? Do you want to?
471 00:44:30.540 ⇒ 00:44:31.720 Amber Lin: Sorry, say that one more time
472 00:44:31.950 ⇒ 00:44:35.799 Amber Lin: do you wanna roughly do your and Robert’s time allocations as well.
473 00:44:35.800 ⇒ 00:44:40.340 Uttam Kumaran: Oh, yeah, let’s just go through me. So where is? Where am I?
474 00:44:40.560 ⇒ 00:44:45.100 Amber Lin: So you have default fantastic interlude.
475 00:44:45.410 ⇒ 00:44:49.100 Amber Lin: Medicare. If it starts in urban stems, and I know.
476 00:44:49.100 ⇒ 00:44:49.670 Uttam Kumaran: Nope.
477 00:44:51.029 ⇒ 00:44:54.665 Uttam Kumaran: So for fan stake? Let’s
478 00:44:57.230 ⇒ 00:45:04.449 Uttam Kumaran: So how do we do? Are we gonna do multiple projects for a client like, for example, Fantake is not actively.
479 00:45:08.090 ⇒ 00:45:13.169 Uttam Kumaran: So like make it an incentive.
480 00:45:14.160 ⇒ 00:45:15.619 Uttam Kumaran: Well, we have like.
481 00:45:17.660 ⇒ 00:45:22.059 Uttam Kumaran: Well, if you open up, if you open up the project details like one.
482 00:45:22.190 ⇒ 00:45:24.299 Uttam Kumaran: I see it’s connected to default.
483 00:45:24.750 ⇒ 00:45:25.180 Amber Lin: What?
484 00:45:25.180 ⇒ 00:45:26.770 Uttam Kumaran: We should probably remove that.
485 00:45:28.320 ⇒ 00:45:30.140 Amber Lin: Okay, let’s do that.
486 00:45:32.140 ⇒ 00:45:32.660 Uttam Kumaran: And then.
487 00:45:32.660 ⇒ 00:45:33.620 Amber Lin: Project, link.
488 00:45:39.910 ⇒ 00:45:40.930 Uttam Kumaran: Okay, remove.
489 00:45:40.930 ⇒ 00:45:46.410 Uttam Kumaran: We should probably have like one project that’s called Fan Stake, like.
490 00:45:48.305 ⇒ 00:45:49.190 Uttam Kumaran: Audit.
491 00:45:49.910 ⇒ 00:45:51.050 Amber Lin: Hmm, okay.
492 00:45:51.050 ⇒ 00:45:53.810 Uttam Kumaran: And then we should have another one. That’s just like Fan staked
493 00:45:55.270 ⇒ 00:45:57.379 Uttam Kumaran: renewal, one or something like that.
494 00:45:57.550 ⇒ 00:46:02.789 Uttam Kumaran: So the fans take audit like I’m pretty sure it ended.
495 00:46:03.170 ⇒ 00:46:08.210 Uttam Kumaran: So it ended the week after the 4, th so that Friday
496 00:46:10.160 ⇒ 00:46:18.350 Uttam Kumaran: and then it started the week before the 4, th which was the 23, rd probably.
497 00:46:18.920 ⇒ 00:46:21.690 Amber Lin: Oh, yeah, of June.
498 00:46:23.150 ⇒ 00:46:23.960 Amber Lin: We’re here.
499 00:46:23.960 ⇒ 00:46:26.270 Uttam Kumaran: I’m at it. I’m well. The 23.rd
500 00:46:27.770 ⇒ 00:46:29.160 Amber Lin: Oh, sorry!
501 00:46:30.540 ⇒ 00:46:33.620 Uttam Kumaran: And then 7, 11, and then it was just me like it wasn’t any irvonne.
502 00:46:33.620 ⇒ 00:46:35.599 Amber Lin: Hmm, I see. Okay.
503 00:46:36.290 ⇒ 00:46:38.819 Amber Lin: So that one
504 00:46:46.530 ⇒ 00:46:47.910 Amber Lin: archive.
505 00:46:50.030 ⇒ 00:46:50.820 Amber Lin: Okay?
506 00:47:00.100 ⇒ 00:47:00.790 Amber Lin: Oh.
507 00:47:06.870 ⇒ 00:47:08.429 Uttam Kumaran: And then, yeah, I
508 00:47:08.590 ⇒ 00:47:14.520 Uttam Kumaran: it’s just my hours that I my hours and Mustafa help a little bit, for like an hour. It looks like.
509 00:47:15.193 ⇒ 00:47:16.539 Amber Lin: I see.
510 00:47:17.370 ⇒ 00:47:17.960 Uttam Kumaran: Yeah.
511 00:47:17.960 ⇒ 00:47:23.629 Uttam Kumaran: So fan stake audit. And then this one is, it’s it’s done. So.
512 00:47:24.880 ⇒ 00:47:25.440 Amber Lin: Yeah.
513 00:47:27.400 ⇒ 00:47:30.199 Uttam Kumaran: I guess like should should I archive it?
514 00:47:30.460 ⇒ 00:47:32.050 Amber Lin: Yeah, we should archive it.
515 00:47:33.550 ⇒ 00:47:36.929 Uttam Kumaran: Okay? So I’m gonna audit. When archive fan Stick audit
516 00:47:38.360 ⇒ 00:47:41.040 Uttam Kumaran: project has work allocations in the future. Oh.
517 00:47:42.050 ⇒ 00:47:42.950 Amber Lin: Hmm.
518 00:47:48.030 ⇒ 00:47:51.509 Uttam Kumaran: And stake audit wouldn’t project details.
519 00:47:59.560 ⇒ 00:48:02.269 Amber Lin: What future allocations are there.
520 00:48:12.120 ⇒ 00:48:13.260 Uttam Kumaran: I don’t know.
521 00:48:15.400 ⇒ 00:48:17.520 Amber Lin: Archive. Okay, I archive it.
522 00:48:20.210 ⇒ 00:48:21.170 Amber Lin: All right.
523 00:48:22.810 ⇒ 00:48:31.470 Amber Lin: So you’re on the default consulting and then default product analytics.
524 00:48:31.470 ⇒ 00:48:35.500 Uttam Kumaran: The default consulting is probably gonna end up doing like.
525 00:48:35.940 ⇒ 00:48:39.029 Uttam Kumaran: I mean, this is where like we shouldn’t do anything. So
526 00:48:39.320 ⇒ 00:48:42.310 Uttam Kumaran: default consulting is gonna be like probably 10 HA week.
527 00:48:44.850 ⇒ 00:48:48.490 Uttam Kumaran: So whatever that is. So, yeah, I can edit on my side. So
528 00:48:49.150 ⇒ 00:48:52.859 Uttam Kumaran: so I’m gonna put 10 HA week for default, consulting.
529 00:48:53.880 ⇒ 00:49:02.430 Uttam Kumaran: And then I’m gonna put for product analytics. It’s gonna be probably another like 5 HA week.
530 00:49:03.180 ⇒ 00:49:03.850 Amber Lin: Okay.
531 00:49:04.230 ⇒ 00:49:11.599 Uttam Kumaran: And then for interlude, I’m gonna be spending probably 5 HA week.
532 00:49:12.460 ⇒ 00:49:13.200 Amber Lin: Okay.
533 00:49:13.862 ⇒ 00:49:18.370 Uttam Kumaran: Again I wanted I don’t want I wanted. I would rather overestimate than underestimate.
534 00:49:18.590 ⇒ 00:49:19.270 Amber Lin: Yeah. Valid.
535 00:49:19.589 ⇒ 00:49:25.789 Uttam Kumaran: And then for urban stems, I mean, I’m gonna I’m spending probably like probably 5 HA week.
536 00:49:26.110 ⇒ 00:49:28.809 Amber Lin: Yeah, especially when the building is.
537 00:49:28.810 ⇒ 00:49:30.070 Uttam Kumaran: Spending longer.
538 00:49:30.310 ⇒ 00:49:31.060 Amber Lin: Yeah.
539 00:49:32.110 ⇒ 00:49:35.439 Uttam Kumaran: So I can probably.
540 00:49:35.440 ⇒ 00:49:35.990 Amber Lin: It’s.
541 00:49:37.290 ⇒ 00:49:38.070 Uttam Kumaran: Yeah.
542 00:49:38.640 ⇒ 00:49:42.450 Amber Lin: And then you’re spending time on AI team.
543 00:49:44.820 ⇒ 00:49:48.200 Amber Lin: You’re spending time on hiring.
544 00:50:02.220 ⇒ 00:50:04.649 Amber Lin: How much time do you spend for the AI team?
545 00:50:08.370 ⇒ 00:50:09.510 Uttam Kumaran: Like 5 HA week.
546 00:50:09.510 ⇒ 00:50:12.020 Uttam Kumaran: Well, I’m spending like, usually.
547 00:50:15.780 ⇒ 00:50:17.610 Uttam Kumaran: yeah, it’s usually fine.
548 00:50:18.150 ⇒ 00:50:18.830 Amber Lin: Hmm!
549 00:50:19.590 ⇒ 00:50:22.270 Amber Lin: I know you spend a bit more time on hiring.
550 00:50:27.280 ⇒ 00:50:27.910 Amber Lin: so more.
551 00:50:27.910 ⇒ 00:50:28.730 Uttam Kumaran: Hiring.
552 00:50:28.730 ⇒ 00:50:29.799 Amber Lin: We’re like, 10.
553 00:50:29.950 ⇒ 00:50:34.170 Uttam Kumaran: Yeah. Hiring is gonna be like I don’t know. I mean, let me look at.
554 00:50:34.470 ⇒ 00:50:36.150 Uttam Kumaran: Well, my schedule is.
555 00:50:36.470 ⇒ 00:50:37.550 Uttam Kumaran: Today.
556 00:50:39.480 ⇒ 00:50:41.749 Uttam Kumaran: So yesterday, so yesterday I did.
557 00:50:42.000 ⇒ 00:50:44.130 Uttam Kumaran: I don’t think I had any interviews.
558 00:50:44.670 ⇒ 00:50:56.150 Uttam Kumaran: Today. I had one to tomorrow. I have one
559 00:51:02.960 ⇒ 00:51:03.429 Amber Lin: That would.
560 00:51:03.430 ⇒ 00:51:07.570 Uttam Kumaran: Probably have 30 min to an hour per day of interviews.
561 00:51:08.400 ⇒ 00:51:12.979 Uttam Kumaran: And then whatever also, like scheduling I spend. So it’s probably 10 HA week.
562 00:51:12.980 ⇒ 00:51:15.720 Amber Lin: Okay, let’s we’ll do that.
563 00:51:16.530 ⇒ 00:51:23.980 Uttam Kumaran: But, like my total, like, for example, I work usually 9 Am. Until, like
564 00:51:24.610 ⇒ 00:51:29.609 Uttam Kumaran: I usually have probably 60 h of availability for a week, not more.
565 00:51:30.185 ⇒ 00:51:30.760 Amber Lin: Okay.
566 00:51:30.760 ⇒ 00:51:33.340 Uttam Kumaran: So we should account for that.
567 00:51:33.340 ⇒ 00:51:34.649 Amber Lin: Yeah, I see.
568 00:51:35.690 ⇒ 00:51:38.600 Amber Lin: I think we still should do like 40. And then
569 00:51:38.880 ⇒ 00:51:41.790 Amber Lin: so you can see how much more hours you’re working.
570 00:51:45.460 ⇒ 00:51:48.060 Amber Lin: How much do you spend on coaching?
571 00:51:48.400 ⇒ 00:51:53.479 Amber Lin: There’ll be like any one on ones, and that like 5 HA week.
572 00:51:58.510 ⇒ 00:52:03.689 Uttam Kumaran: Me like I don’t. I don’t know. I don’t have any fixed.
573 00:52:04.660 ⇒ 00:52:05.910 Uttam Kumaran: Coaching, things.
574 00:52:06.910 ⇒ 00:52:07.670 Amber Lin: Okay.
575 00:52:08.110 ⇒ 00:52:11.510 Uttam Kumaran: So I wouldn’t even put it there. I mean, yeah.
576 00:52:15.500 ⇒ 00:52:16.140 Amber Lin: Hello!
577 00:52:17.370 ⇒ 00:52:22.840 Amber Lin: And that’s that. Then Robert.
578 00:52:22.840 ⇒ 00:52:25.100 Uttam Kumaran: I mean, the rest of my time is on sales.
579 00:52:25.430 ⇒ 00:52:26.280 Amber Lin: Oh!
580 00:52:27.660 ⇒ 00:52:30.519 Uttam Kumaran: You could probably put at least 20 HA week on sales.
581 00:52:51.430 ⇒ 00:52:55.210 Amber Lin: Alright like a decent allocation.
582 00:52:55.730 ⇒ 00:53:00.770 Amber Lin: If you’re aiming for 60 h
583 00:53:01.930 ⇒ 00:53:12.420 Amber Lin: And then for Robert, think it would be insomnia. Eden then sales.
584 00:53:17.550 ⇒ 00:53:21.939 Amber Lin: Robert spends 40 h at least. I think we should edit this
585 00:53:29.830 ⇒ 00:53:34.639 Amber Lin: Rico. Can you help edit Robert’s availability to 40 instead.
586 00:53:39.480 ⇒ 00:53:43.749 Amber Lin: I’m gonna say, on Eden aiming for 5 HA week.
587 00:53:48.050 ⇒ 00:53:50.260 Amber Lin: Read me sales.
588 00:53:51.710 ⇒ 00:53:52.380 Amber Lin: Yes.
589 00:53:56.300 ⇒ 00:53:57.180 Rico Rejoso: Dated.
590 00:53:57.660 ⇒ 00:53:58.430 Amber Lin: Okay.
591 00:53:58.780 ⇒ 00:53:59.750 Amber Lin: Yay.
592 00:54:06.710 ⇒ 00:54:11.479 Amber Lin: Mike, yeah, I think that’s everybody. Anything else we wanted to look at.
593 00:54:17.250 ⇒ 00:54:23.339 Uttam Kumaran: So let’s look at like can we see? Oh, can I see overall like? Who’s can I see everybody ranked by their allegations?
594 00:54:23.630 ⇒ 00:54:24.240 Amber Lin: Yeah.
595 00:54:27.120 ⇒ 00:54:31.499 Uttam Kumaran: And then we’re doing. We’re gonna do allocations for like for Rico, for Ryan.
596 00:54:32.250 ⇒ 00:54:39.960 Amber Lin: Oh, sure everything would be internal, but we can divide it among the yeah, like.
597 00:54:39.960 ⇒ 00:54:41.980 Uttam Kumaran: But let’s just do everybody for the month.
598 00:54:42.210 ⇒ 00:54:44.220 Amber Lin: Okay, yeah, let’s do that.
599 00:54:45.210 ⇒ 00:54:47.730 Amber Lin: Oh, Mouse booked here.
600 00:54:56.420 ⇒ 00:55:02.779 Amber Lin: So let’s start here. So with Brian runs on content.
601 00:55:03.130 ⇒ 00:55:05.549 Amber Lin: He’s also what else is he on?
602 00:55:07.880 ⇒ 00:55:11.160 Amber Lin: Is he helping with sales, or like go to market stuff.
603 00:55:11.770 ⇒ 00:55:12.340 Rico Rejoso: Yes.
604 00:55:12.340 ⇒ 00:55:13.140 Amber Lin: Things.
605 00:55:14.007 ⇒ 00:55:15.619 Amber Lin: I’ll put sales.
606 00:55:16.120 ⇒ 00:55:21.350 Amber Lin: Okay, so does he divide his time? 50, 50, or is it different.
607 00:55:25.270 ⇒ 00:55:25.800 Uttam Kumaran: Boo.
608 00:55:26.310 ⇒ 00:55:27.080 Rico Rejoso: But.
609 00:55:27.080 ⇒ 00:55:27.720 Amber Lin: Brian.
610 00:55:27.920 ⇒ 00:55:31.810 Uttam Kumaran: Oh, Brian is is mostly content.
611 00:55:32.110 ⇒ 00:55:32.800 Amber Lin: Okay.
612 00:55:33.010 ⇒ 00:55:34.897 Uttam Kumaran: So Ryan is probably
613 00:55:35.680 ⇒ 00:55:39.680 Uttam Kumaran: Now, he’s like 10% recruiting 10%.
614 00:55:39.950 ⇒ 00:55:44.380 Uttam Kumaran: I would say 10% recruiting 10% sales, 80% marketing content or whatever.
615 00:55:44.730 ⇒ 00:55:45.530 Amber Lin: Okay.
616 00:55:49.090 ⇒ 00:55:55.050 Uttam Kumaran: But see, he’s not gonna Bill. I don’t know. I don’t think he’s booking his time that way, but I think it’s helpful for us to have it that way.
617 00:55:55.610 ⇒ 00:56:02.549 Amber Lin: Okay. So I’ll just ramp it up to 100%. I’m just gonna say, just use the
618 00:56:03.300 ⇒ 00:56:12.749 Amber Lin: allocations you put sure and then do 80 here.
619 00:56:15.460 ⇒ 00:56:23.710 Amber Lin: and then as for Ryan, and then let’s look at Ann, and has 20 HA week. He she puts all of that on
620 00:56:24.320 ⇒ 00:56:31.249 Amber Lin: here on marketing, branding, and design, and then for Hannah.
621 00:56:32.420 ⇒ 00:56:41.350 Amber Lin: So she’s helping with marketing team and also with campaign stuff partnership stuff.
622 00:56:42.220 ⇒ 00:56:42.935 Amber Lin: So
623 00:56:47.350 ⇒ 00:56:49.299 Amber Lin: how is your time allocated.
624 00:56:59.310 ⇒ 00:57:00.070 Rico Rejoso: 60%.
625 00:57:01.770 ⇒ 00:57:06.739 Uttam Kumaran: Yeah, probably 60%. And then 40% sales.
626 00:57:07.080 ⇒ 00:57:12.049 Amber Lin: Okay. Rico, can you help edit her total hours to 40.
627 00:57:12.460 ⇒ 00:57:13.130 Rico Rejoso: Yep.
628 00:57:14.470 ⇒ 00:57:15.430 Amber Lin: Awesome.
629 00:57:16.850 ⇒ 00:57:18.040 Amber Lin: And
630 00:57:31.386 ⇒ 00:57:38.719 Amber Lin: I know that, Rico, you’re helping with hiring with operations anything else that you were helping with again with
631 00:57:40.590 ⇒ 00:57:42.139 Amber Lin: design team.
632 00:57:50.100 ⇒ 00:57:53.129 Amber Lin: How many hours are you spending on each.
633 00:57:55.310 ⇒ 00:57:56.720 Rico Rejoso: For the design team.
634 00:57:56.920 ⇒ 00:57:58.420 Amber Lin: Like 5 h each week.
635 00:57:59.670 ⇒ 00:58:00.990 Rico Rejoso: Less than 5 h.
636 00:58:01.470 ⇒ 00:58:07.500 Amber Lin: Okay, I’ll say that I’m pretty sure.
637 00:58:09.400 ⇒ 00:58:13.420 Amber Lin: How much on hiring how much on operations.
638 00:58:14.070 ⇒ 00:58:16.929 Rico Rejoso: 15 to 20 for hiring depends.
639 00:58:19.460 ⇒ 00:58:21.179 Amber Lin: Hours or like percentage.
640 00:58:21.180 ⇒ 00:58:22.370 Rico Rejoso: Percentage yeah.
641 00:58:22.370 ⇒ 00:58:26.079 Amber Lin: Yeah, okay, okay. So we’ll see that.
642 00:58:27.690 ⇒ 00:58:31.639 Amber Lin: And then the rest is on operations. Anything else you’re helping with.
643 00:58:32.040 ⇒ 00:58:33.619 Rico Rejoso: Oh, that’s it for now.
644 00:58:35.160 ⇒ 00:58:36.270 Amber Lin: Sounds good
645 00:58:39.320 ⇒ 00:58:40.280 Rico Rejoso: So I guess.
646 00:58:41.770 ⇒ 00:58:44.850 Amber Lin: It’s not. It’s not a hundred percent, but it’ll whatever.
647 00:58:45.030 ⇒ 00:58:48.779 Amber Lin: And then Alex, all his time is with Pm.
648 00:58:49.890 ⇒ 00:58:50.760 Amber Lin: Help.
649 00:58:54.330 ⇒ 00:59:04.999 Amber Lin: Oh, and then Sid is helping with sales. It’s just sales.
650 00:59:07.370 ⇒ 00:59:07.900 Rico Rejoso: Yes.
651 00:59:08.280 ⇒ 00:59:11.999 Amber Lin: And are we bumping up? Say, Sid, to full time.
652 00:59:13.620 ⇒ 00:59:17.030 Uttam Kumaran: No, you know not. Nothing’s confirmed yet, so she’s.
653 00:59:17.030 ⇒ 00:59:17.700 Amber Lin: Okay.
654 00:59:17.930 ⇒ 00:59:19.540 Uttam Kumaran: She’s 20 HA week. Yeah.
655 00:59:19.540 ⇒ 00:59:21.460 Amber Lin: Okay, 100% on sales.
656 00:59:22.570 ⇒ 00:59:26.729 Uttam Kumaran: Rico. What do we did? Did we sign a new contract with her for 20 h right.
657 00:59:26.960 ⇒ 00:59:29.540 Rico Rejoso: Yep, still same 2420 h.
658 00:59:30.143 ⇒ 00:59:30.810 Amber Lin: All right
659 00:59:43.313 ⇒ 00:59:44.680 Amber Lin: that’s it.
660 00:59:45.230 ⇒ 00:59:48.650 Amber Lin: And then for Ray, I think it’s all for content.
661 00:59:49.550 ⇒ 00:59:56.460 Rico Rejoso: Also, I think Ray is for 40 h already, or 20 h. Brain Forge. 20 h on
662 00:59:57.030 ⇒ 00:59:58.440 Rico Rejoso: Robert’s wife. I think.
663 00:59:58.713 ⇒ 01:00:01.999 Amber Lin: I see. I’ll just keep it 20, because that’s for a company.
664 01:00:02.300 ⇒ 01:00:14.960 Uttam Kumaran: Yeah. So I talked to Robert about that, too. And he said, like, it’s gonna be just totally separate from stuff. So like I don’t. I don’t mind if they use this slack or whatever. But like we’re not. The company isn’t paying for it. And
665 01:00:15.320 ⇒ 01:00:18.720 Uttam Kumaran: we’re not like involved in that at all. Basically.
666 01:00:19.190 ⇒ 01:00:19.790 Rico Rejoso: Okay.
667 01:00:20.080 ⇒ 01:00:22.360 Amber Lin: I’ll let him know as well.
668 01:00:22.730 ⇒ 01:00:23.360 Uttam Kumaran: Yeah.
669 01:00:24.890 ⇒ 01:00:25.740 Amber Lin: Okay.
670 01:00:25.740 ⇒ 01:00:37.240 Uttam Kumaran: Basically to give you guys context, she, I think she’s doing some marketing or something or some personal stuff. And I I wanted to. I referred, Ray, because I was like Ray isn’t working for us full time.
671 01:00:37.500 ⇒ 01:00:38.950 Uttam Kumaran: So I was like he can go.
672 01:00:39.420 ⇒ 01:00:40.850 Uttam Kumaran: But
673 01:00:41.020 ⇒ 01:00:48.660 Uttam Kumaran: I this is not like related to our company at all. It’s like it’s for him to go manage them as like a his own client. Yes, I don’t want.
674 01:00:48.660 ⇒ 01:00:49.319 Amber Lin: Not suspended.
675 01:00:49.320 ⇒ 01:00:50.500 Uttam Kumaran: Money on that. Yeah.
676 01:00:50.680 ⇒ 01:00:52.479 Amber Lin: Yeah. Okay. Valid.
677 01:00:53.080 ⇒ 01:00:55.140 Uttam Kumaran: I was just trying to do him a solid.
678 01:00:55.760 ⇒ 01:00:57.050 Amber Lin: Yeah, that’s very nice.
679 01:00:57.050 ⇒ 01:00:59.240 Rico Rejoso: I mean, we just have to clear that up with him.
680 01:01:00.010 ⇒ 01:01:01.579 Uttam Kumaran: Yeah, yeah, yeah.
681 01:01:02.560 ⇒ 01:01:04.789 Amber Lin: I also got something
682 01:01:04.910 ⇒ 01:01:19.210 Amber Lin: from from Robert on the Eden side. I think Annie is gonna rotate to support Jonah for the next 2 spring. I I think that means she’s gonna cover 2 sides. So Jonah’s asking for, I think 10 h
683 01:01:19.740 ⇒ 01:01:21.789 Amber Lin: Annie’s gonna rotate on.
684 01:01:21.790 ⇒ 01:01:22.609 Uttam Kumaran: Who’s Jonah?
685 01:01:22.950 ⇒ 01:01:25.060 Amber Lin: Jonah is a Cfo.
686 01:01:25.450 ⇒ 01:01:26.160 Uttam Kumaran: Oh, okay.
687 01:01:26.580 ⇒ 01:01:27.180 Amber Lin: Yeah.
688 01:01:27.490 ⇒ 01:01:35.359 Amber Lin: So I think that means 10 more hours for Annie. I’m gonna double check with Robert.
689 01:01:36.880 ⇒ 01:01:39.329 Amber Lin: But that probably that’s what it means.
690 01:01:47.270 ⇒ 01:01:51.570 Amber Lin: Oh, Robert.
691 01:01:57.460 ⇒ 01:01:59.960 Amber Lin: I’m in Sany.
692 01:02:05.370 ⇒ 01:02:06.030 Amber Lin: Okay.
693 01:02:06.290 ⇒ 01:02:15.459 Amber Lin: I just messaged Robert to ask. So if once I get that, I can adjust the data platform and bump, bump her up or keep her the same on Eden.
694 01:02:15.840 ⇒ 01:02:21.460 Amber Lin: Okay, so now we can look at display.
695 01:02:24.100 ⇒ 01:02:24.930 Amber Lin: Okay.
696 01:02:28.660 ⇒ 01:02:36.050 Amber Lin: so our internal team’s pretty booked robbers. More than that.
697 01:02:36.440 ⇒ 01:02:45.649 Amber Lin: So right now, Sam’s down there because we estimate 10 h we want to do 10 h. Casey Miguel, are at 80.
698 01:02:46.460 ⇒ 01:02:53.840 Amber Lin: Any is low because we want to put her rest of her time to the platform.
699 01:02:53.840 ⇒ 01:02:57.229 Uttam Kumaran: About. We talk about Andy. So are you guys going to.
700 01:02:57.960 ⇒ 01:02:59.970 Uttam Kumaran: Manage and like, what’s what do you guys think?
701 01:03:01.000 ⇒ 01:03:06.179 Uttam Kumaran: So so like to give you to give you the gist? I basically wanted to run analytics on linear.
702 01:03:06.340 ⇒ 01:03:11.220 Uttam Kumaran: on clockify, like, on our slack messages like.
703 01:03:11.720 ⇒ 01:03:16.340 Uttam Kumaran: just like, start putting together real dashboards on all that stuff.
704 01:03:16.590 ⇒ 01:03:22.590 Uttam Kumaran: I think you guys know this, you guys know what we’re trying to measure. We’re trying to measure allocations versus
705 01:03:22.710 ⇒ 01:03:26.720 Uttam Kumaran: booked hours. I’m trying to look at profitability like.
706 01:03:27.210 ⇒ 01:03:34.019 Uttam Kumaran: whatever you guys want to see is probably what I want to see, and I’ve already written a lot of stuff about what we want to see. So.
707 01:03:34.980 ⇒ 01:03:42.210 Uttam Kumaran: Like I would love. If you guys can run something on this project.
708 01:03:43.760 ⇒ 01:03:45.620 Uttam Kumaran: Be really, really tremendous.
709 01:03:46.000 ⇒ 01:03:55.920 Amber Lin: Okay, I think we should. I think the test timeframe shouldn’t be a month. We should give it one sprint. See if we can get anywhere and close it out
710 01:03:55.920 ⇒ 01:04:03.399 Amber Lin: so easy. The data is so easy, and to see we can’t click.
711 01:04:03.400 ⇒ 01:04:03.890 Awaish Kumar: I don’t know.
712 01:04:03.890 ⇒ 01:04:04.340 Amber Lin: Right.
713 01:04:04.340 ⇒ 01:04:17.989 Awaish Kumar: The only problem is that she don’t don’t want to touch any kind of modeling. Right? For example, the data is in Snowflake linear clock, if I it might needs need to have some joins, some
714 01:04:18.270 ⇒ 01:04:20.839 Awaish Kumar: like some transformation, right?
715 01:04:21.350 ⇒ 01:04:22.240 Awaish Kumar: Kind of like.
716 01:04:23.440 ⇒ 01:04:30.060 Uttam Kumaran: Okay, can you ask like, can you ask either Vashta or Mustafa to do that, or ask Gotcha first? st
717 01:04:31.050 ⇒ 01:04:31.760 Awaish Kumar: Yeah.
718 01:04:31.760 ⇒ 01:04:32.670 Uttam Kumaran: No, I don’t.
719 01:04:32.670 ⇒ 01:04:35.850 Uttam Kumaran: Oh, my goodness, I don’t want you. I don’t want you to do it, or, if you do it.
720 01:04:36.180 ⇒ 01:04:38.330 Uttam Kumaran: try not to spend too much time, but I would
721 01:04:38.550 ⇒ 01:04:41.469 Uttam Kumaran: prefer to do it if you can, if you can have them do it.
722 01:04:42.450 ⇒ 01:04:44.739 Uttam Kumaran: especially since he wanted to do some dbt stuff.
723 01:04:45.740 ⇒ 01:04:47.919 Awaish Kumar: Okay, yeah. I can ask him.
724 01:04:48.290 ⇒ 01:04:54.439 Uttam Kumaran: Yeah, ask him to do it. I want you guys to judge cause cause this crew is going to be the one that looks at that data.
725 01:04:54.580 ⇒ 01:04:58.849 Uttam Kumaran: Okay, how much did we out like, how much did we allocate who went beyond allocation?
726 01:04:59.830 ⇒ 01:05:06.319 Uttam Kumaran: What’s the biggest cost centers? What are the biggest revenue like? I want to start to look at that data same thing. We all we all need.
727 01:05:07.640 ⇒ 01:05:11.610 Amber Lin: Do we need a can operating fulfill that role?
728 01:05:19.610 ⇒ 01:05:24.250 Uttam Kumaran: Where? Well, you could tell me where to find analytics and operating. I don’t think there’s any analytics.
729 01:05:24.250 ⇒ 01:05:28.749 Amber Lin: I see. So yeah, that’s true. Cause.
730 01:05:29.410 ⇒ 01:05:33.359 Uttam Kumaran: Already written a lot about this subject. There’s there’s a whole thing around like
731 01:05:33.770 ⇒ 01:05:36.920 Uttam Kumaran: like, where do we have that somewhere? Aish.
732 01:05:37.540 ⇒ 01:05:43.029 Uttam Kumaran: like some of the linear analytics and stuff I wanted. Like, there’s all this stuff around. Why, yeah.
733 01:05:43.030 ⇒ 01:05:46.899 Awaish Kumar: Yeah, like most of it is in the linear intern project.
734 01:05:46.900 ⇒ 01:05:50.880 Uttam Kumaran: Yeah, it’s all. It’s all here. So it’s like, I wanna look at
735 01:05:51.875 ⇒ 01:05:57.140 Uttam Kumaran: productivity and employee productivity. I wanna look at like
736 01:05:57.730 ⇒ 01:06:01.789 Uttam Kumaran: how many linear tickets were done. How much? How long did they take?
737 01:06:01.920 ⇒ 01:06:08.280 Uttam Kumaran: I want to look at clockify versus operating in one place, and I want this all to be in a dashboard in real.
738 01:06:10.520 ⇒ 01:06:15.000 Uttam Kumaran: Yeah, like, I don’t want to do this in operating, because, like, we’re not going to be able to connect
739 01:06:15.190 ⇒ 01:06:16.959 Uttam Kumaran: all the stuff we want.
740 01:06:20.960 ⇒ 01:06:21.420 Amber Lin: Fresh.
741 01:06:21.420 ⇒ 01:06:27.340 Awaish Kumar: Is the intern project I don’t know like I can’t see it. In linear.
742 01:06:28.330 ⇒ 01:06:30.280 Uttam Kumaran: I moved it all to the data platform.
743 01:06:30.600 ⇒ 01:06:31.310 Awaish Kumar: Okay.
744 01:06:31.640 ⇒ 01:06:32.360 Uttam Kumaran: Yeah.
745 01:06:34.400 ⇒ 01:06:38.839 Awaish Kumar: Okay, yeah, there’s a lot of tickets about the what whatever you talked about.
746 01:06:41.520 ⇒ 01:06:42.250 Uttam Kumaran: Sorry.
747 01:06:43.340 ⇒ 01:06:46.165 Awaish Kumar: Yeah, I’m saying, there’s a lot of tickets like.
748 01:06:46.480 ⇒ 01:06:52.709 Uttam Kumaran: They’re already ready, like the tickets are already ready. This is what I’m saying is like the work is like pretty easy.
749 01:06:52.950 ⇒ 01:07:00.070 Uttam Kumaran: If she’s not gonna if I think you can just tell her like, Hey, we’re working on this project. Need your help. It’s so easy to understand.
750 01:07:00.330 ⇒ 01:07:00.850 Uttam Kumaran: Like.
751 01:07:01.650 ⇒ 01:07:07.949 Uttam Kumaran: If we can’t, if she can’t get it done, I’m it’s gonna be so like I don’t even know what to say, because it’s like the easiest work.
752 01:07:11.080 ⇒ 01:07:18.310 Awaish Kumar: Okay, yeah, we can kick it off more like from tomorrow.
753 01:07:18.830 ⇒ 01:07:19.550 Uttam Kumaran: Okay.
754 01:07:28.020 ⇒ 01:07:31.920 Amber Lin: Okay, let me put that on a calendar
755 01:07:36.260 ⇒ 01:07:37.750 Amber Lin: Alright.
756 01:07:41.880 ⇒ 01:07:45.000 Amber Lin: the platform kickoff.
757 01:07:45.780 ⇒ 01:07:48.580 Amber Lin: A wish brush this.
758 01:07:52.480 ⇒ 01:07:55.780 Amber Lin: Oh, Annie, okay.
759 01:07:56.000 ⇒ 01:07:56.870 Amber Lin: Sounds good.
760 01:08:04.170 ⇒ 01:08:05.310 Amber Lin: Anything else.
761 01:08:06.740 ⇒ 01:08:12.710 Uttam Kumaran: So yeah, I think one things that I want to start adding to this meeting next month is a look back.
762 01:08:12.990 ⇒ 01:08:15.550 Uttam Kumaran: So I don’t want this meeting to be. I actually think
763 01:08:15.750 ⇒ 01:08:22.260 Uttam Kumaran: as much of this work that we do together. We should either do it beforehand, or this meeting should be like 2 or 3 h long, because I want.
764 01:08:22.260 ⇒ 01:08:22.620 Amber Lin: Holy.
765 01:08:22.620 ⇒ 01:08:25.680 Uttam Kumaran: Use this as a reflection of the past month. You know.
766 01:08:26.270 ⇒ 01:08:54.080 Amber Lin: Yeah, that’s that’s what plan is, I think, moving forward. Me and Rico has a prep meeting usually the day before, where we’ll put in any allocations, and we, the only thing we need to do in this meeting is is to adjust it. We also prepared the by project and by by person actual hours. In a spreadsheet, so we can look at it. I think we can also see it in operating as well. For the
767 01:08:54.260 ⇒ 01:08:58.880 Amber Lin: for the actual hours logged, I think, moving forward. That’s something we should look at
768 01:09:00.617 ⇒ 01:09:07.289 Amber Lin: like we can. We can make a sop for how this meeting is run so that, like whatever we need to get prepared can get prepared before.
769 01:09:07.859 ⇒ 01:09:08.699 Uttam Kumaran: Great. Okay.
770 01:09:09.080 ⇒ 01:09:09.620 Amber Lin: Yeah.
771 01:09:10.229 ⇒ 01:09:13.629 Awaish Kumar: Yeah, like, last last meeting we had. It was
772 01:09:14.169 ⇒ 01:09:17.569 Awaish Kumar: it had had much more information. Like you, you put
773 01:09:18.091 ⇒ 01:09:22.789 Awaish Kumar: the Google sheets where we can see the actual hours of everybody.
774 01:09:23.319 ⇒ 01:09:27.179 Awaish Kumar: how every everyone logged their hours in crocify.
775 01:09:27.359 ⇒ 01:09:29.269 Amber Lin: Yeah, actually, Rico, do you? Wanna.
776 01:09:29.640 ⇒ 01:09:30.630 Awaish Kumar: Pull that up.
777 01:09:31.287 ⇒ 01:09:36.979 Amber Lin: Do you want to pull that up, or at least share it in the Channel with us, so we can take a quick look.
778 01:09:37.740 ⇒ 01:09:41.100 Rico Rejoso: Sure. Let me share my screen also.
779 01:09:45.649 ⇒ 01:09:50.740 Rico Rejoso: Actually, it’s just the hours I mean ongoing hours for July.
780 01:09:54.760 ⇒ 01:10:00.149 Rico Rejoso: Because I was tracking those who were not logging their clock. If I hours per user and per projects.
781 01:10:02.800 ⇒ 01:10:03.700 Amber Lin: Awesome.
782 01:10:04.850 ⇒ 01:10:06.260 Amber Lin: Yeah, so that.
783 01:10:06.760 ⇒ 01:10:11.190 Uttam Kumaran: Yeah, so like a goal. This is where, like, I think, it’s clear, like a goal for that.
784 01:10:11.320 ⇒ 01:10:15.489 Uttam Kumaran: For, like the stuff that Annie’s working on is like, I wanna we want to be able to see
785 01:10:15.610 ⇒ 01:10:18.409 Uttam Kumaran: how much hours were booked and how much was planned.
786 01:10:19.430 ⇒ 01:10:19.970 Amber Lin: Hmm.
787 01:10:21.140 ⇒ 01:10:21.730 Rico Rejoso: I agree on that.
788 01:10:21.730 ⇒ 01:10:22.260 Amber Lin: Month.
789 01:10:23.990 ⇒ 01:10:29.389 Amber Lin: Can you click on Annie to see how how her current hours are distributed?
790 01:10:30.400 ⇒ 01:10:36.090 Amber Lin: Okay, why is there? 27? Let me see. Okay.
791 01:10:37.100 ⇒ 01:10:41.830 Amber Lin: Ethan is okay. Eden is like 20 per week.
792 01:10:43.500 ⇒ 01:10:47.270 Amber Lin: Hmm, okay.
793 01:11:06.028 ⇒ 01:11:14.960 Rico Rejoso: Also, I wish I can share this to you. So anyone on the engineering team as well can, you can, you know, give a shout out to them for not
794 01:11:15.580 ⇒ 01:11:19.000 Rico Rejoso: they’re not really logging their hours. For some, I think.
795 01:11:19.578 ⇒ 01:11:23.049 Uttam Kumaran: Out, but he should be logging.
796 01:11:23.960 ⇒ 01:11:29.169 Uttam Kumaran: Mustafa is really good. Yeah, we should honestly shout people out for logging their hours.
797 01:11:29.430 ⇒ 01:11:32.440 Rico Rejoso: Yeah. My staff was updating every day.
798 01:11:32.440 ⇒ 01:11:34.630 Uttam Kumaran: No Mustafa is like crushing.
799 01:11:35.844 ⇒ 01:11:36.699 Rico Rejoso: Yeah.
800 01:11:36.910 ⇒ 01:11:37.540 Amber Lin: Okay.
801 01:11:37.942 ⇒ 01:11:41.159 Uttam Kumaran: Is great. And I know I know Ryan
802 01:11:41.450 ⇒ 01:11:43.600 Uttam Kumaran: process also is really really good.
803 01:11:44.000 ⇒ 01:11:47.900 Uttam Kumaran: Yeah.
804 01:11:48.510 ⇒ 01:11:54.170 Uttam Kumaran: I mean, look, I think we did agree that like, Hey, we’re gonna delay payments unless these things happen. So that’s
805 01:11:54.790 ⇒ 01:11:58.730 Uttam Kumaran: you guys have my nothing on that. So.
806 01:11:58.730 ⇒ 01:12:01.419 Rico Rejoso: Yeah, I I also give them like.
807 01:12:01.540 ⇒ 01:12:05.140 Rico Rejoso: I mean, I remind them, for like twice already for this month.
808 01:12:06.210 ⇒ 01:12:06.860 Uttam Kumaran: Yeah.
809 01:12:07.650 ⇒ 01:12:13.720 Amber Lin: Oh, would you share this in our planning and allocation? Channel.
810 01:12:14.390 ⇒ 01:12:15.879 Rico Rejoso: Yep. Posted it now.
811 01:12:16.280 ⇒ 01:12:16.900 Amber Lin: Okay.
812 01:12:36.570 ⇒ 01:12:42.590 Uttam Kumaran: Okay? Yeah, I think for next meeting. Let’s plan on having like a little bit of a an agenda.
813 01:12:42.590 ⇒ 01:12:44.450 Uttam Kumaran: And then it’d be great if we can
814 01:12:44.960 ⇒ 01:12:49.918 Uttam Kumaran: amber, we can probably use the same sort of format as our a similar format as our
815 01:12:50.600 ⇒ 01:12:51.010 Amber Lin: Managers.
816 01:12:51.010 ⇒ 01:12:56.729 Uttam Kumaran: Meeting like a similar templated thing where we any any sort of like
817 01:12:56.940 ⇒ 01:13:02.090 Uttam Kumaran: anytime. I have a question about allocation, or something like that. Over the month. We can list it there and then.
818 01:13:02.830 ⇒ 01:13:05.730 Uttam Kumaran: We could have some rituals that we do as part of this meeting, and then.
819 01:13:06.220 ⇒ 01:13:10.810 Uttam Kumaran: both as a way to plan the next month and a look back on the past month.
820 01:13:11.740 ⇒ 01:13:17.790 Amber Lin: Okay, yeah. Sounds good. I’ll make that with Rico, and then we’ll send in a channel to ask for any suggestions.
821 01:13:18.500 ⇒ 01:13:19.730 Uttam Kumaran: Okay.
822 01:13:22.010 ⇒ 01:13:22.730 Amber Lin: Okay.
823 01:13:23.873 ⇒ 01:13:26.546 Uttam Kumaran: So maybe I could spend just like 1 min on some
824 01:13:26.990 ⇒ 01:13:29.544 Uttam Kumaran: recruiting things. You guys are okay.
825 01:13:29.970 ⇒ 01:13:30.510 Amber Lin: Holy.
826 01:13:30.510 ⇒ 01:13:35.579 Uttam Kumaran: Yeah, I had a great conversation with Vinay. He was a a referral from.
827 01:13:35.880 ⇒ 01:13:36.519 Amber Lin: Yeah, it’s actually.
828 01:13:38.180 ⇒ 01:13:40.579 Amber Lin: Prefer during our during our call.
829 01:13:40.980 ⇒ 01:13:45.970 Uttam Kumaran: Yeah, yeah, yeah, I was, I was just just now. Yeah, I think he was actually like.
830 01:13:46.370 ⇒ 01:13:51.740 Uttam Kumaran: I didn’t really go too in depth on his like
831 01:13:51.890 ⇒ 01:13:59.739 Uttam Kumaran: meaning. I get that. He he actually, I think he gets project, management and everything. But I actually learned a lot more about his career goals, and his motivation and.
832 01:13:59.960 ⇒ 01:14:00.600 Amber Lin: Oh, awesome!
833 01:14:00.600 ⇒ 01:14:03.920 Uttam Kumaran: Actually like a really excellent fit for us.
834 01:14:03.920 ⇒ 01:14:06.950 Amber Lin: Is he very motivated? It sounds like he is.
835 01:14:07.440 ⇒ 01:14:16.620 Uttam Kumaran: Yeah, he seemed like this. He’s like he seems like he’s obsessed like this. He he eventually wants to kind of run his own Pmo or run a portfolio from
836 01:14:16.620 ⇒ 01:14:16.970 Uttam Kumaran: Project
837 01:14:17.849 ⇒ 01:14:24.029 Uttam Kumaran: And it’s and it’s very he’s very career motivated. Also you used to be. He used to run several restaurants.
838 01:14:24.720 ⇒ 01:14:25.660 Amber Lin: Oh, okay.
839 01:14:25.660 ⇒ 01:14:30.109 Uttam Kumaran: And then got into, and then also he came, highly recommended by Alex.
840 01:14:30.380 ⇒ 01:14:31.140 Uttam Kumaran: Yeah.
841 01:14:31.140 ⇒ 01:14:40.769 Amber Lin: I I think, between, if I have to choose. If he’s interested in working for us, even just by our 1st impressions, I would choose your candidate.
842 01:14:41.270 ⇒ 01:14:43.530 Uttam Kumaran: They’re like that might even show any interest.
843 01:14:43.530 ⇒ 01:14:47.630 Amber Lin: No, he showed interest. He he’s like he, he’s a
844 01:14:47.990 ⇒ 01:14:52.569 Amber Lin: good candidate, is just not as good as who you just described.
845 01:14:52.570 ⇒ 01:14:55.019 Uttam Kumaran: Would he be interested in like Pm. Coordinator.
846 01:14:58.290 ⇒ 01:14:58.880 Amber Lin: Don’t know.
847 01:14:58.880 ⇒ 01:14:59.370 Uttam Kumaran: Maybe not.
848 01:14:59.370 ⇒ 01:15:05.160 Amber Lin: He has 14 years experience. He’s a bit later in his career.
849 01:15:05.290 ⇒ 01:15:10.480 Amber Lin: and like, maybe we don’t need someone with Pnp to be a coordinator like, I think.
850 01:15:11.030 ⇒ 01:15:14.309 Amber Lin: emotionally, I don’t know if they even want to.
851 01:15:14.680 ⇒ 01:15:20.400 Uttam Kumaran: Okay. Okay, okay. So I think, probably biggest thing is, I’d love like, if you have
852 01:15:20.690 ⇒ 01:15:22.130 Uttam Kumaran: time, tomorrow would be great.
853 01:15:22.130 ⇒ 01:15:24.140 Amber Lin: Oh, yeah, I would love to talk to him. Okay.
854 01:15:24.140 ⇒ 01:15:25.206 Uttam Kumaran: Okay, then,
855 01:15:26.470 ⇒ 01:15:35.860 Uttam Kumaran: maybe Rico, I can. Or what’s like, what can I? What’s best? Well, cause I didn’t actually get him on the email. But I can give you his email. And
856 01:15:36.050 ⇒ 01:15:37.440 Uttam Kumaran: or like, Yeah, should I.
857 01:15:37.440 ⇒ 01:15:48.760 Amber Lin: Yeah, maybe maybe introduce. Just introduce me. I’ll coordinate. Yeah. CC, me and Rico, just in case we we one of us doesn’t see it.
858 01:15:49.890 ⇒ 01:15:52.789 Uttam Kumaran: Talk to one other person that could be good.
859 01:15:54.360 ⇒ 01:15:58.239 Uttam Kumaran: Honestly, I’m not exactly sure what role she would play.
860 01:15:58.410 ⇒ 01:16:02.820 Uttam Kumaran: Oh, she runs her own. Like one. She she runs like a 1 or 2 person
861 01:16:02.950 ⇒ 01:16:11.759 Uttam Kumaran: like marketing AI agency. Okay, I’m I honestly will probably wait to have her be with you next week.
862 01:16:12.040 ⇒ 01:16:14.980 Amber Lin: I just don’t want to use up too much of your time on like what’s her name?
863 01:16:14.980 ⇒ 01:16:18.960 Uttam Kumaran: Her name is oh, what was that? Her name is Emily so.
864 01:16:19.160 ⇒ 01:16:25.510 Amber Lin: Oh, okay, there’s a Emily who books on this Friday. I don’t exactly know who that’s for.
865 01:16:25.510 ⇒ 01:16:26.430 Uttam Kumaran: Really.
866 01:16:26.430 ⇒ 01:16:27.119 Rico Rejoso: Emily Ward.
867 01:16:27.120 ⇒ 01:16:27.740 Uttam Kumaran: She!
868 01:16:27.940 ⇒ 01:16:28.540 Amber Lin: Hmm.
869 01:16:29.720 ⇒ 01:16:31.860 Uttam Kumaran: Yeah, Emily Ward.
870 01:16:32.851 ⇒ 01:16:35.170 Rico Rejoso: The one referred to you by superposition.
871 01:16:35.820 ⇒ 01:16:36.560 Amber Lin: Hmm.
872 01:16:40.790 ⇒ 01:16:44.539 Uttam Kumaran: Yeah. So actually, Rico, I wanted to talk to her first.st
873 01:16:44.770 ⇒ 01:16:46.870 Rico Rejoso: Oh, okay. Sorry.
874 01:16:47.503 ⇒ 01:16:49.990 Uttam Kumaran: No, no, no problem. Thanks.
875 01:16:49.990 ⇒ 01:16:54.260 Uttam Kumaran: She came recommended by David so well, I mean.
876 01:16:55.550 ⇒ 01:16:58.360 Uttam Kumaran: I guess, like I can run the initial screen or.
877 01:16:59.240 ⇒ 01:17:07.870 Amber Lin: I don’t mind running the initial the initial screen. It’s just if we still need to sell to her. You probably do it better than I do.
878 01:17:07.870 ⇒ 01:17:09.839 Uttam Kumaran: Yeah, so let me do that first.st
879 01:17:10.220 ⇒ 01:17:10.740 Rico Rejoso: Okay.
880 01:17:10.930 ⇒ 01:17:13.689 Uttam Kumaran: So, Rico, what time does she put on Friday?
881 01:17:14.680 ⇒ 01:17:25.739 Amber Lin: My time at 8, 40 to 9. So that would be your 1040 to 9, which let me check. Yeah, you’re free.
882 01:17:25.740 ⇒ 01:17:26.760 Uttam Kumaran: Do that? Yeah.
883 01:17:26.760 ⇒ 01:17:28.629 Amber Lin: So I’ll just transfer.
884 01:17:29.000 ⇒ 01:17:30.660 Uttam Kumaran: Yeah, you can just transfer it to me.
885 01:17:30.660 ⇒ 01:17:31.470 Amber Lin: Okay?
886 01:17:46.160 ⇒ 01:17:51.949 Amber Lin: you might need to use change the meeting room and then add yours.
887 01:17:52.370 ⇒ 01:17:55.249 Amber Lin: cause I might still be in something else.
888 01:17:58.270 ⇒ 01:18:03.930 Rico Rejoso: Yeah, I think. Also, Jordan provided a time for your meeting with him.
889 01:18:06.222 ⇒ 01:18:09.180 Rico Rejoso: Oh, Jordan, he did. Yeah, yeah.
890 01:18:09.470 ⇒ 01:18:11.290 Uttam Kumaran: Friday 1130.
891 01:18:12.170 ⇒ 01:18:14.030 Rico Rejoso: But you’re booked for Friday.
892 01:18:16.050 ⇒ 01:18:17.070 Uttam Kumaran: Okay, let me
893 01:18:23.160 ⇒ 01:18:24.549 Uttam Kumaran: Here, let me see.
894 01:18:28.070 ⇒ 01:18:34.150 Uttam Kumaran: So Friday, I’m gonna meet here with with her at 8 40. Right?
895 01:18:35.060 ⇒ 01:18:39.860 Uttam Kumaran: Okay. I’ll ask him like he has any other time. On Friday.
896 01:18:40.620 ⇒ 01:18:44.170 Amber Lin: Oh, Emily’s time! It’s 1040 your time.
897 01:18:44.950 ⇒ 01:18:47.190 Uttam Kumaran: Okay. Okay. Oh, okay. Perfect.
898 01:18:48.570 ⇒ 01:18:49.110 Amber Lin: Yeah.
899 01:18:49.770 ⇒ 01:18:51.679 Uttam Kumaran: Yeah, so transfer that whenever.
900 01:18:52.272 ⇒ 01:18:55.300 Amber Lin: I did that. You’ll just add your own meeting link.
901 01:18:55.640 ⇒ 01:18:56.260 Uttam Kumaran: Okay.
902 01:18:56.570 ⇒ 01:18:57.100 Amber Lin: Yeah.
903 01:19:01.240 ⇒ 01:19:02.129 Uttam Kumaran: Thank you.
904 01:19:04.570 ⇒ 01:19:06.010 Uttam Kumaran: Anyone else.
905 01:19:14.570 ⇒ 01:19:15.230 Uttam Kumaran: Okay.
906 01:19:17.610 ⇒ 01:19:20.440 Awaish Kumar: I was having one interview with Abhishek.
907 01:19:21.030 ⇒ 01:19:21.730 Awaish Kumar: Great.
908 01:19:21.730 ⇒ 01:19:22.169 Uttam Kumaran: How is it?
909 01:19:23.200 ⇒ 01:19:28.019 Awaish Kumar: Yeah, but it it won’t went like he was disconnected after
910 01:19:28.380 ⇒ 01:19:32.430 Awaish Kumar: half an hour. And yeah, I never heard back from him.
911 01:19:34.640 ⇒ 01:19:35.749 Uttam Kumaran: Is it good or no?
912 01:19:36.590 ⇒ 01:19:45.069 Awaish Kumar: Yeah, like it. It was good, like as a person. But yeah, I like he was a fresh graduate. So as a
913 01:19:45.270 ⇒ 01:19:47.719 Awaish Kumar: and at entry level, or like
914 01:19:49.580 ⇒ 01:19:51.790 Awaish Kumar: he was a good candidate. Yeah.
915 01:19:52.660 ⇒ 01:19:55.090 Uttam Kumaran: Like. But but did you have any data experience.
916 01:19:56.870 ⇒ 01:19:57.410 Awaish Kumar: Yup.
917 01:19:58.880 ⇒ 01:19:59.800 Uttam Kumaran: Oh, okay.
918 01:20:00.860 ⇒ 01:20:03.460 Uttam Kumaran: Do you want Rico to help? Reschedule.
919 01:20:06.910 ⇒ 01:20:07.480 Awaish Kumar: Wait.
920 01:20:08.170 ⇒ 01:20:14.000 Awaish Kumar: Yeah, we can like I was just waiting for him. But like, yeah, we can reschedule it.
921 01:20:14.000 ⇒ 01:20:15.590 Rico Rejoso: Who was it? I’m sorry, avish.
922 01:20:16.610 ⇒ 01:20:20.260 Awaish Kumar: Sorry. Yeah, abhishek like one of the interview.
923 01:20:21.552 ⇒ 01:20:23.390 Awaish Kumar: To like today.
924 01:20:23.700 ⇒ 01:20:25.190 Awaish Kumar: It got like
925 01:20:27.309 ⇒ 01:20:34.279 Awaish Kumar: like he got disconnected in half the interval, like we maybe reschedule it for some later time.
926 01:20:36.660 ⇒ 01:20:39.740 Rico Rejoso: Okay, that’s A visit.
927 01:20:40.540 ⇒ 01:20:41.380 Awaish Kumar: Yeah.
928 01:20:41.380 ⇒ 01:20:44.969 Rico Rejoso: Okay, email him also for rescheduling.
929 01:21:01.080 ⇒ 01:21:01.700 Uttam Kumaran: Okay.
930 01:21:06.210 ⇒ 01:21:06.890 Amber Lin: Okay.
931 01:21:08.250 ⇒ 01:21:08.980 Uttam Kumaran: All right.
932 01:21:09.330 ⇒ 01:21:10.190 Uttam Kumaran: Thanks. Everyone.
933 01:21:10.190 ⇒ 01:21:11.500 Amber Lin: Thanks. Everyone.
934 01:21:11.500 ⇒ 01:21:12.209 Rico Rejoso: Thanks guys.
935 01:21:13.680 ⇒ 01:21:14.640 Amber Lin: Bye.