Meeting Title: Time Allocations Prep Date: 2025-07-22 Meeting participants: Rico Rejoso, Awaish Kumar, Amber Lin, Uttam Kumaran, 19257868273
WEBVTT
1 00:01:34.140 ⇒ 00:01:39.019 Awaish Kumar: Oh, Hi! There you go! How are you?
2 00:01:40.210 ⇒ 00:01:41.829 Rico Rejoso: Hi, Aish! I’m good! How are you?
3 00:01:43.168 ⇒ 00:01:44.400 Awaish Kumar: I’m good as life.
4 00:01:44.870 ⇒ 00:01:45.710 Rico Rejoso: Wonderful.
5 00:01:46.240 ⇒ 00:01:47.080 Rico Rejoso: Okay.
6 00:01:52.390 ⇒ 00:01:53.860 Amber Lin: Oh, hello!
7 00:01:56.300 ⇒ 00:01:57.190 Rico Rejoso: Hi amber.
8 00:01:57.960 ⇒ 00:02:25.800 Amber Lin: Hi! Oh, always I I feel like you don’t have to be here for this meeting, because usually this is more logistical, and we just prep things, and then for the monthly allocations. It’s next week, Tuesday, and so for that, we’ll talk about how we’re gonna allocate for the next week. So I I feel like, I mark you, guys, you and Newton as optional for for these meetings.
9 00:02:28.510 ⇒ 00:02:36.720 Awaish Kumar: Okay, yeah, sure, I just join if you need anything from my side on any any of the projects. But yeah, like.
10 00:02:37.830 ⇒ 00:02:46.389 Awaish Kumar: And I would love like. I don’t know. How do you handle where you keep this? I would love to see the visibility on
11 00:02:46.790 ⇒ 00:02:52.150 Awaish Kumar: like team members like, how how many are their client, and how many they are working on things like that!
12 00:02:52.640 ⇒ 00:02:53.620 Amber Lin: Okay, yeah.
13 00:02:55.330 ⇒ 00:03:04.580 Amber Lin: yeah. Let’s spend this meeting to make sure. We have those shared, you know where it is, and we can make a documentation to point people to that.
14 00:03:04.900 ⇒ 00:03:05.460 Awaish Kumar: Okay.
15 00:03:05.680 ⇒ 00:03:11.650 Amber Lin: Rico. I I’ll let you leave that. I think everything should be in the
16 00:03:12.160 ⇒ 00:03:15.989 Amber Lin: should be in the brain force models or in operating right.
17 00:03:19.090 ⇒ 00:03:26.510 Rico Rejoso: I checked with Cassie and asked him to check it. Ours are still not reflecting on operating. Still.
18 00:03:26.510 ⇒ 00:03:28.060 Amber Lin: Oh no!
19 00:03:28.060 ⇒ 00:03:30.500 Rico Rejoso: I didn’t get an update after checking it last week.
20 00:03:30.980 ⇒ 00:03:34.680 Amber Lin: Hmm. Okay, let’s see.
21 00:03:34.680 ⇒ 00:03:39.430 Awaish Kumar: So cases of like, yeah, can.
22 00:03:39.800 ⇒ 00:03:41.919 Awaish Kumar: if you like, I can look into that.
23 00:03:43.560 ⇒ 00:03:44.806 Rico Rejoso: Yeah, sure.
24 00:03:47.680 ⇒ 00:03:48.560 Rico Rejoso: Just
25 00:03:52.760 ⇒ 00:03:54.220 Rico Rejoso: let me share my screen.
26 00:03:54.630 ⇒ 00:03:55.290 Amber Lin: Hmm.
27 00:03:57.347 ⇒ 00:04:06.742 Rico Rejoso: So I think Casey mentioned. I mean, Casey is aware of how to upload the hours manually on operating
28 00:04:07.310 ⇒ 00:04:21.269 Rico Rejoso: they said it was it was supposed to be working, and should have the hours included, but upon checking like for the month of July since, should be automated, still not reflecting hours for some
29 00:04:23.060 ⇒ 00:04:27.910 Rico Rejoso: like a mine. Raymond Hannah, we still have, like 0 h for July
30 00:04:29.020 ⇒ 00:04:30.717 Rico Rejoso: up to date, so I don’t know
31 00:04:31.280 ⇒ 00:04:35.669 Rico Rejoso: where the problem would be, or how, if it was integrated?
32 00:04:36.490 ⇒ 00:04:37.940 Rico Rejoso: What do you think, abish.
33 00:04:42.810 ⇒ 00:04:48.460 Awaish Kumar: Yeah, I have to actually see into the the. I see the cases script.
34 00:04:49.140 ⇒ 00:04:54.580 Awaish Kumar: He has worked on some scope to to integrate the data from Clockify.
35 00:04:54.960 ⇒ 00:05:03.709 Awaish Kumar: I just I will just look into that. So I I did ask. I reviewed it and asked for some changes, but not sure
36 00:05:04.050 ⇒ 00:05:08.370 Awaish Kumar: how it went. And he’s about today, so
37 00:05:08.810 ⇒ 00:05:14.500 Awaish Kumar: I can see if it I can fix it or it. It requires case to come back and work on it.
38 00:05:15.050 ⇒ 00:05:28.600 Rico Rejoso: Yeah, cause I think it should also be showing on a timeline as well. So if it was integrated, I don’t know where or what part would it show the hours from the clock if I reports so? You know.
39 00:05:28.850 ⇒ 00:05:30.799 Rico Rejoso: just need to confirm that on your end.
40 00:05:34.860 ⇒ 00:05:47.360 Rico Rejoso: So we’ll we still can’t use operating for allocation and tracking of actual hours. But one thing I think, that
41 00:05:48.430 ⇒ 00:06:00.184 Rico Rejoso: I mean as department head as well for the engineering side, and most of our employees are consist of engineers, AI, or data. I think it’s to remind the team for the hours that
42 00:06:00.990 ⇒ 00:06:16.600 Rico Rejoso: I mean auto log their hours on clockify because our just a heads up right now, actually, I’m creating a report for every week. We’re in every Tuesday as well. We’ll try to see or backtrack all the hours from last week and see if
43 00:06:16.938 ⇒ 00:06:41.289 Rico Rejoso: what’s the actual hours based on clock, if I and I think that will also determine. Those those hours would be like the payable payable hours as per otam. So we gain confirmation from Otam as well, that we will be all the track. Hours from the last week will be draw on Tuesday, and those will be used for tracking of payable hours.
44 00:06:41.540 ⇒ 00:06:55.570 Rico Rejoso: So if you could like, remind the team as well to log their hours, if possible, on a daily basis, if not by end of week, so that we can make sure that all I mean, they’re allocated. Hours are track through clockify a wish.
45 00:06:57.280 ⇒ 00:07:01.990 Awaish Kumar: Yeah, I can. I can send it in notification on chat.
46 00:07:02.880 ⇒ 00:07:08.779 Rico Rejoso: One notable person would be demi lade. Okay, just want to give you a heads up on that.
47 00:07:11.804 ⇒ 00:07:12.150 Amber Lin: Yeah.
48 00:07:12.150 ⇒ 00:07:13.149 Awaish Kumar: It’s so funny.
49 00:07:13.150 ⇒ 00:07:18.934 Amber Lin: Every time it’s it’s like, Oh, there’s a 1 person who is. Who is it?
50 00:07:21.150 ⇒ 00:07:23.389 Rico Rejoso: I know, did we don’t talk to him.
51 00:07:23.850 ⇒ 00:07:26.609 Rico Rejoso: He wanted me to talk to him. I don’t want.
52 00:07:26.860 ⇒ 00:07:27.640 Amber Lin: Oh!
53 00:07:27.640 ⇒ 00:07:30.258 Rico Rejoso: I want a wish, since a wish is like the
54 00:07:30.650 ⇒ 00:07:36.000 Rico Rejoso: head of engineering, to take, to take matters, to own his hands to his own hands.
55 00:07:37.210 ⇒ 00:07:38.940 Rico Rejoso: and if not, or let’s.
56 00:07:38.940 ⇒ 00:07:40.430 Awaish Kumar: Yeah, I can communicate. Yeah.
57 00:07:40.610 ⇒ 00:07:40.965 Rico Rejoso: Yeah.
58 00:07:42.520 ⇒ 00:07:45.490 Awaish Kumar: I can communicate one on one with him. So not a problem.
59 00:07:45.900 ⇒ 00:07:48.240 Rico Rejoso: So I’ll try to pinpoint like
60 00:07:48.800 ⇒ 00:07:58.439 Rico Rejoso: an individual on a weekly basis. We’re not tracking their hours. So let’s see if we’re if they’re allocated to work like 40 h for the week, and have like less than 35 h.
61 00:07:59.060 ⇒ 00:08:08.570 Rico Rejoso: I think we can try to talk to them as much, because again, those like 5 h that you will lose and will not be paid for, if, in case
62 00:08:09.320 ⇒ 00:08:14.260 Rico Rejoso: especially, most of I mean, most of our engineers are paid paid hourly right.
63 00:08:16.085 ⇒ 00:08:16.590 Amber Lin: Terminated.
64 00:08:16.590 ⇒ 00:08:16.990 Amber Lin: So
65 00:08:16.990 ⇒ 00:08:37.729 Amber Lin: salary, I think it was also on salary. Yeah, I think that’s mostly why people don’t track their hours is that they get paid like salary anyways. And sometimes we are not that on time. So people are like, Okay, whatever you’re gonna you’re not gonna pay me on time, even if I love my hours. So so they’re like whatever.
66 00:08:38.110 ⇒ 00:08:39.819 Amber Lin: So that’s my only concern.
67 00:08:41.700 ⇒ 00:08:42.580 Rico Rejoso: Yeah, but I think
68 00:08:42.809 ⇒ 00:08:44.709 Awaish Kumar: It just needs a little bit.
69 00:08:45.550 ⇒ 00:08:48.579 Awaish Kumar: More of a big habit for me. It’s
70 00:08:49.464 ⇒ 00:08:56.019 Awaish Kumar: like it has been a very different challenging for me like I discussed them every time, like, there’s a lot of context switching
71 00:08:57.480 ⇒ 00:09:00.350 Awaish Kumar: things I’m working on in parallel. I don’t know, like
72 00:09:00.770 ⇒ 00:09:04.639 Awaish Kumar: I just like don’t know how to just.
73 00:09:04.640 ⇒ 00:09:13.619 Rico Rejoso: I mean, we yeah, we like work globally. We are around the globe. So I think he’s not requesting us to work like for a specific time, just as long as you can
74 00:09:14.010 ⇒ 00:09:19.390 Rico Rejoso: exert all your effort on the whole 8 h and produce results which you guys are producing as well.
75 00:09:19.737 ⇒ 00:09:27.409 Rico Rejoso: I think that will work so as long as you like. Put 8 h there, put on the project. If you’re working. If you’re like to work for a specific client.
76 00:09:27.510 ⇒ 00:09:29.069 Awaish Kumar: And just put in the hours.
77 00:09:29.490 ⇒ 00:09:33.820 Awaish Kumar: Yeah, well, the engineering team, like
78 00:09:34.650 ⇒ 00:09:40.180 Awaish Kumar: the the people who are working on more on client side, is is really the important part.
79 00:09:40.410 ⇒ 00:09:41.000 Rico Rejoso: Yeah.
80 00:09:41.000 ⇒ 00:09:45.460 Awaish Kumar: But that’s where where we are working on internal stuff. It’s it’s not that.
81 00:09:45.990 ⇒ 00:09:49.657 Rico Rejoso: Yes. And one reason why. We’re trying to be strict with the hours.
82 00:09:50.285 ⇒ 00:10:14.480 Rico Rejoso: It’s on the financial and the operation side. Specifically our project management, because amber is also like making sure that all engineer have, like all the I mean, has their hours compromised with works and making sure that they’re working 80%, 80 to a hundred percent most of the time. So it’s affecting operations. And the financial side as well as our one.
83 00:10:14.480 ⇒ 00:10:37.010 Rico Rejoso: Personally, I want to fix how we can. You know. I mean, you guys, you guys know that we I mean most of the I mean the salary was delayed last payout. So I think I want to work things out with the finance team as well. But 1st we gonna make sure that all the group, which is the hours are fixed so that I can
84 00:10:37.020 ⇒ 00:10:46.209 Rico Rejoso: toss all like all the blame to the finance team that they’re not processing it asap when everything is given to them. All the data is given to them. So I just, you know, want to have like.
85 00:10:46.540 ⇒ 00:10:53.359 Rico Rejoso: what do you call that strong proof on our end that we’re doing? What’s needed on our end. And they’re just not doing their job personally. Okay.
86 00:10:53.910 ⇒ 00:10:55.530 Awaish Kumar: Yeah, okay.
87 00:10:56.350 ⇒ 00:10:59.900 Rico Rejoso: So that’s 1 thing that we can discuss. Amber.
88 00:11:03.800 ⇒ 00:11:06.839 Awaish Kumar: Yeah, I mean, communicate that with the team and
89 00:11:07.830 ⇒ 00:11:09.629 Awaish Kumar: see how it goes. But yeah.
90 00:11:10.238 ⇒ 00:11:14.660 Awaish Kumar: but on the other side, I just need the sheets you have.
91 00:11:15.206 ⇒ 00:11:22.389 Awaish Kumar: For the people like. How many hours that like I can see in operating? Well, if you have something like one view
92 00:11:22.740 ⇒ 00:11:25.989 Awaish Kumar: where you are seeing the operating crocify
93 00:11:26.790 ⇒ 00:11:32.540 Awaish Kumar: for each person. Then, yeah, just share it with me. I would like to keep
94 00:11:32.780 ⇒ 00:11:35.050 Awaish Kumar: keep them. That insight.
95 00:11:35.310 ⇒ 00:11:42.390 Rico Rejoso: Okay, I can send that before end of day. Until what time are you? I mean, will you be working?
96 00:11:42.900 ⇒ 00:11:46.539 Rico Rejoso: Can you give me like around 30 to 40 min, I’ll finalize this one.
97 00:11:46.864 ⇒ 00:11:50.429 Awaish Kumar: I’m here for like 1, 1, 2 h, 2 h more.
98 00:11:50.430 ⇒ 00:11:52.375 Rico Rejoso: Okay, I’ll send it for you.
99 00:11:53.230 ⇒ 00:11:56.748 Rico Rejoso: in less than an hour. After this meeting and
100 00:11:57.440 ⇒ 00:12:01.135 Rico Rejoso: It’s on you, and how you could you know? Coach them on that
101 00:12:01.810 ⇒ 00:12:14.040 Rico Rejoso: Anything else? I think I’m good on the hours. I’m sorry. Operating still not working. I think you can look into it. I wish, after this meeting for me, I’ll just post the updated.
102 00:12:14.040 ⇒ 00:12:15.320 Awaish Kumar: Yeah, we have.
103 00:12:15.800 ⇒ 00:12:21.389 Awaish Kumar: We have the people list of people on engineering side who are on full time.
104 00:12:23.330 ⇒ 00:12:35.600 Rico Rejoso: Yeah, I can full time. Yeah, I haven’t created one yet. I’m just looking at the financial model to see if you guys are like working hourly or full time. But nonetheless, I’m I’ve also look at the
105 00:12:35.790 ⇒ 00:12:39.610 Rico Rejoso: each contract on how many hours you guys will be working.
106 00:12:41.320 ⇒ 00:12:42.015 Rico Rejoso: So
107 00:12:43.680 ⇒ 00:12:44.050 Awaish Kumar: Yep.
108 00:12:44.050 ⇒ 00:12:46.379 Rico Rejoso: Yeah, I can send you the list later on. Okay.
109 00:12:46.380 ⇒ 00:12:52.230 Awaish Kumar: The people who are hourly, they, some somehow will will log right. We just need someone.
110 00:12:52.810 ⇒ 00:12:58.499 Awaish Kumar: the people who are on full time. They just need to log log more at least the client work.
111 00:13:00.130 ⇒ 00:13:06.369 Rico Rejoso: I think, regardless. If you work if you have, if you’re on full time, or if you do, you’re doing hourly.
112 00:13:06.620 ⇒ 00:13:12.169 Rico Rejoso: If it States that you need to work 8 h. We’re expecting 8 HA day is that.
113 00:13:12.170 ⇒ 00:13:14.370 Awaish Kumar: Yeah. But that’s what I’m saying.
114 00:13:15.370 ⇒ 00:13:15.735 Rico Rejoso: Yeah.
115 00:13:16.360 ⇒ 00:13:20.200 Awaish Kumar: But I like people just will just log. Otherwise.
116 00:13:20.200 ⇒ 00:13:21.310 Rico Rejoso: Just simple. You can. Just
117 00:13:22.470 ⇒ 00:13:31.990 Rico Rejoso: yeah. I mean, they can do it under. They know they don’t have to track their hours. So they just have to fill in the time sheet with their hours. Right? So I think it’s not much of a work for everyone.
118 00:13:34.380 ⇒ 00:13:39.170 Rico Rejoso: Okay? Anything else. Amber you you want to bring up.
119 00:13:42.246 ⇒ 00:13:51.450 Amber Lin: a wish earlier asked to see to see the reports. Which can I document what you want to see and make sure that
120 00:13:51.610 ⇒ 00:13:53.270 Amber Lin: I get everything to you.
121 00:13:56.410 ⇒ 00:13:57.300 Awaish Kumar: Which one.
122 00:13:57.910 ⇒ 00:14:04.779 Amber Lin: Yeah. Just tell me, tell me what kind of data you wanna see? And I, we can point you to where everything.
123 00:14:04.780 ⇒ 00:14:06.729 Awaish Kumar: The data I mentioned, like.
124 00:14:07.030 ⇒ 00:14:23.159 Awaish Kumar: like, I can see if I log into clock, if I can see the hours log for a person, and then I find to operating. I can see the how how many hours they’re assigned per week. But I, if you are using any sheet which has the unified view
125 00:14:23.320 ⇒ 00:14:25.090 Awaish Kumar: of like each person
126 00:14:25.500 ⇒ 00:14:31.840 Awaish Kumar: assigned, like 15 h on Edin, 15 h on open stem, total, 30 h, and
127 00:14:31.940 ⇒ 00:14:37.130 Awaish Kumar: he bought in the last last weeks last few weeks, and things like that.
128 00:14:38.570 ⇒ 00:14:43.079 Awaish Kumar: So I can like match it with the tickets also, and then, like, keep that.
129 00:14:45.460 ⇒ 00:14:45.990 Amber Lin: Oh!
130 00:14:45.990 ⇒ 00:14:53.109 Awaish Kumar: Like. If if people are assigned the task accordingly, according to their availability, and things like that.
131 00:14:53.748 ⇒ 00:14:56.300 Amber Lin: I see. Rico.
132 00:14:56.430 ⇒ 00:15:01.290 Amber Lin: I think currently what we have is clockify entries. And then
133 00:15:01.400 ⇒ 00:15:11.010 Amber Lin: and then there’s the brain force financial models which which has the models that built. I don’t think we have a unified
134 00:15:11.410 ⇒ 00:15:29.509 Amber Lin: spreadsheet that has also the linear tickets, so we only have stuff related to invoices and stuff related to clockify hours, and they are all in the spreadsheet called Rainforge financial models. You don’t have access to that one yet, just to confirm.
135 00:15:32.320 ⇒ 00:15:36.000 Awaish Kumar: I’m not sure like I haven’t. I looked at it only
136 00:15:36.440 ⇒ 00:15:41.180 Awaish Kumar: when you shared it on the few weeks back.
137 00:15:41.650 ⇒ 00:15:46.170 Amber Lin: Okay, let me send it in the time allocations channel.
138 00:15:46.410 ⇒ 00:15:51.460 Amber Lin: First, st let me send that, and I’ll tag you.
139 00:15:51.460 ⇒ 00:15:54.839 Uttam Kumaran: I’m not. I don’t think I’m gonna give. I don’t.
140 00:15:55.420 ⇒ 00:16:00.790 Uttam Kumaran: Yeah. I don’t think we’re gonna give access to everyone for that.
141 00:16:07.440 ⇒ 00:16:08.470 Amber Lin: Hi, Tom.
142 00:16:08.690 ⇒ 00:16:10.250 Uttam Kumaran: Amber. Hello! Can you hear me?
143 00:16:10.590 ⇒ 00:16:16.160 Amber Lin: Hi! Now I can hear you. So. Do you want a way to have? Yes, I can hear you.
144 00:16:16.160 ⇒ 00:16:24.259 Uttam Kumaran: Hey? Yeah, I I don’t. I’m not comfortable sharing that with everybody. Because it has a lot of sensitive information. So it’s only gonna be shared with like.
145 00:16:24.560 ⇒ 00:16:25.440 Uttam Kumaran: basically
146 00:16:28.310 ⇒ 00:16:31.560 Amber Lin: Yeah. My question was, Are you okay sharing it with a wish.
147 00:16:38.750 ⇒ 00:16:39.940 Rico Rejoso: Got disconnected.
148 00:16:41.194 ⇒ 00:16:41.770 Amber Lin: Okay.
149 00:16:42.490 ⇒ 00:16:43.649 Amber Lin: All right.
150 00:16:44.903 ⇒ 00:16:51.226 Rico Rejoso: I think I have like a an entry for the hours that I was just I mean I uploaded like on a weekly.
151 00:16:52.350 ⇒ 00:16:53.680 Rico Rejoso: let me just share my screen.
152 00:17:01.660 ⇒ 00:17:09.829 Rico Rejoso: So yeah, I’m like creating and tracking all the hours. This is not yet updated. I think this is from last last week
153 00:17:10.060 ⇒ 00:17:13.529 Rico Rejoso: 2 weeks prior. This is what I have for now.
154 00:17:13.920 ⇒ 00:17:18.933 Rico Rejoso: So the mark green or a highlighted green, are like those who have reached
155 00:17:21.862 ⇒ 00:17:29.039 Rico Rejoso: completion of their hours based on the required hours. So actual hours
156 00:17:30.170 ⇒ 00:17:32.770 Rico Rejoso: and require daily to monthly hours.
157 00:17:33.240 ⇒ 00:17:38.325 Rico Rejoso: That’s just what I have right now, I haven’t updated this one yet. I think I’ll post or add
158 00:17:38.790 ⇒ 00:17:45.309 Rico Rejoso: from for last week, and I’ll give you access to it. A wish, and we can talk about it later on. If you have any questions.
159 00:17:49.520 ⇒ 00:17:50.220 Awaish Kumar: Okay.
160 00:17:52.490 ⇒ 00:17:55.020 Rico Rejoso: Yeah, I haven’t finalized this one yet. Sorry.
161 00:17:57.929 ⇒ 00:18:01.929 Rico Rejoso: Okay, hey, guys, can you hear me? Now?
162 00:18:02.400 ⇒ 00:18:02.830 Amber Lin: Bye.
163 00:18:04.910 ⇒ 00:18:11.440 19257868273: Yeah, I I just don’t want to share that document with like a ton of people. In fact, I think the clockify
164 00:18:11.780 ⇒ 00:18:15.770 19257868273: like the reason why I’m importing from the clockify sheet is so that sheet, indeed.
165 00:18:15.770 ⇒ 00:18:21.790 19257868273: more widely shared like I. I don’t want people’s salaries and things like that to get shared widely.
166 00:18:22.110 ⇒ 00:18:22.830 Amber Lin: Okay, that makes sense.
167 00:18:22.830 ⇒ 00:18:28.499 19257868273: Probably longer term. I’ll end up locking this stock, but I think the clockify sheet
168 00:18:28.630 ⇒ 00:18:38.539 19257868273: should like I mean, I tried to get vision to do this, but he was, didn’t, didn’t fucking get to it. But I want to get the operating stuff into that same sheet with clockify.
169 00:18:38.650 ⇒ 00:18:40.780 19257868273: So you basically have everything there.
170 00:18:42.130 ⇒ 00:18:48.640 Amber Lin: Okay, yeah. Let us know who you want to share with feel free to close.
171 00:18:48.640 ⇒ 00:18:50.930 19257868273: What is the task that you need to do.
172 00:18:51.826 ⇒ 00:19:01.870 Amber Lin: A wish wants to know wants to have visibility into who’s allocated to what and who does what I think we have.
173 00:19:02.510 ⇒ 00:19:09.870 Amber Lin: I think financial sheet because we have the sorry, your financial models to look at actual hours.
174 00:19:10.190 ⇒ 00:19:12.320 Amber Lin: cause that’s where we do our current.
175 00:19:14.120 ⇒ 00:19:20.650 19257868273: Okay, yeah, I guess the the allocations are all in operating, and then the clockify sheet should have all the
176 00:19:23.100 ⇒ 00:19:26.220 19257868273: the hours, right? Or you’re just saying, like the modeled version of that.
177 00:19:26.220 ⇒ 00:19:31.150 Amber Lin: Yes, the model version, because we want to see it per, which wants to see it per person.
178 00:19:31.800 ⇒ 00:19:32.430 19257868273: Well, I guess if.
179 00:19:32.430 ⇒ 00:19:34.070 Amber Lin: Maybe that we just share a.
180 00:19:34.070 ⇒ 00:19:34.610 19257868273: A report.
181 00:19:35.540 ⇒ 00:19:38.709 19257868273: I just need to know, like what the report you guys wanted. Like.
182 00:19:38.850 ⇒ 00:19:51.690 19257868273: if you’re like, Hey, I need a report that that has Xyz by like what dimensions like you tell me that I could build it for you. But I sort of built out a bunch of views, so I haven’t gotten any feedback on.
183 00:19:52.900 ⇒ 00:19:53.370 Amber Lin: Yeah, okay.
184 00:19:53.370 ⇒ 00:19:55.540 19257868273: Fine? Or do we need to make changes.
185 00:19:56.230 ⇒ 00:19:59.055 Amber Lin: I see, okay,
186 00:20:00.250 ⇒ 00:20:04.190 19257868273: See the what you want to do, and then I can build it.
187 00:20:04.810 ⇒ 00:20:05.420 Amber Lin: Okay.
188 00:20:05.870 ⇒ 00:20:10.200 Awaish Kumar: Yeah, it’s the same kind of the dashboard you were talking about building on.
189 00:20:10.940 ⇒ 00:20:18.059 Awaish Kumar: And now, like we have for each person, I think I think we discussed in some terms
190 00:20:18.440 ⇒ 00:20:21.779 Awaish Kumar: for each person. We want to see the hours
191 00:20:22.760 ⇒ 00:20:29.280 Awaish Kumar: logged for the previous weeks, and also the hours from operating for
192 00:20:29.710 ⇒ 00:20:32.990 Awaish Kumar: previous weeks, and and whatever month we are
193 00:20:33.500 ⇒ 00:20:37.119 Awaish Kumar: and like in a unified view, and we can start like
194 00:20:37.440 ⇒ 00:20:40.829 Awaish Kumar: see it by per person per project, and things like that.
195 00:20:43.110 ⇒ 00:20:47.139 19257868273: Yeah, I mean, if you if you get the clockified data into real.
196 00:20:47.250 ⇒ 00:20:49.990 19257868273: it’ll be until it keeps like 2 seconds to do this.
197 00:20:54.030 ⇒ 00:20:54.760 Awaish Kumar: Wild.
198 00:20:54.960 ⇒ 00:20:56.769 Awaish Kumar: Yeah, like, we.
199 00:20:56.770 ⇒ 00:21:17.620 19257868273: We already have the operating data. We already have the clock. If I data, you could literally join in like 2 seconds like anything. Only reason I’m doing in spreadsheets because I have to do it here first, st and I’m I have to do this for our finance team like I would prefer all this to get into like DVD, somehow, because it’s so much. It’s gonna be so manual. Anything we do in spreadsheets.
200 00:21:18.380 ⇒ 00:21:20.000 19257868273: Okay, okay?
201 00:21:24.140 ⇒ 00:21:25.180 19257868273: So all the operating.
202 00:21:25.180 ⇒ 00:21:25.900 Awaish Kumar: We have.
203 00:21:25.900 ⇒ 00:21:32.219 19257868273: Already piped somewhere. All the clockified data is getting piped to a spreadsheet right now.
204 00:21:32.480 ⇒ 00:21:39.740 19257868273: so you can have Mustafa built that pipeline. You can ask him to send it direct to Snowflake. If you want
205 00:21:40.520 ⇒ 00:21:43.809 19257868273: or direct, pass 3, and you can put a snowpack on top of it.
206 00:21:45.140 ⇒ 00:21:45.869 19257868273: I should probably connect.
207 00:21:45.870 ⇒ 00:21:49.470 19257868273: You don’t even need Snowflake. I think.
208 00:21:52.860 ⇒ 00:21:55.339 Awaish Kumar: We can connect to what like Google sheets.
209 00:21:56.830 ⇒ 00:22:02.050 19257868273: No like. If you if you just put the clockified data and operating into S. 3, you can connect.
210 00:22:02.050 ⇒ 00:22:02.810 19257868273: Hey? What are you doing.
211 00:22:20.880 ⇒ 00:22:21.610 Rico Rejoso: Member.
212 00:22:23.014 ⇒ 00:22:32.560 Amber Lin: Yeah, I’m adding one. I’m adding new projects. To operating. Yeah.
213 00:22:32.560 ⇒ 00:22:43.520 Rico Rejoso: I was about to ask about the hours I mean, who who are assigned for those? For the new clients and their hours. So I can update their allocated hours as well.
214 00:22:44.160 ⇒ 00:22:51.889 Amber Lin: Okay? So we have default as a new client. Oh, says you’re here.
215 00:22:51.940 ⇒ 00:22:57.979 19257868273: We have, we should also add, insomnia is medicare.
216 00:22:58.760 ⇒ 00:22:59.940 Amber Lin: Signed.
217 00:23:00.230 ⇒ 00:23:04.319 19257868273: Planned. Medicare is. It’s it’s just me for now, but it’s
218 00:23:04.620 ⇒ 00:23:10.950 19257868273: like I’m just in a consulting mode, so there’ll be a second phase that we’ll probably sign, but it’s not signed yet.
219 00:23:10.950 ⇒ 00:23:12.784 Amber Lin: Okay, okay.
220 00:23:14.650 ⇒ 00:23:16.320 Amber Lin: Is there any other clients?
221 00:23:16.320 ⇒ 00:23:16.890 19257868273: Early.
222 00:23:16.890 ⇒ 00:23:19.090 Amber Lin: Operating interlude.
223 00:23:19.090 ⇒ 00:23:23.160 19257868273: Yes, yeah, it’ll be me and me and Mustafa.
224 00:23:23.790 ⇒ 00:23:25.870 Amber Lin: Okay, interlude.
225 00:23:26.660 ⇒ 00:23:28.540 Amber Lin: Add it.
226 00:23:29.860 ⇒ 00:23:30.430 19257868273: Okay.
227 00:23:30.430 ⇒ 00:23:37.980 Amber Lin: Alright. So we have new clients. We have default, interlude, insomnia, cookies, Medicare. I’ll just put a placeholder.
228 00:23:39.260 ⇒ 00:23:48.000 Amber Lin: I won’t make a project for that cause. It’s just you alright! And.
229 00:23:48.660 ⇒ 00:23:51.660 19257868273: I guess you can create it as a tent. Can you create it as a tentative.
230 00:23:51.970 ⇒ 00:23:52.650 Amber Lin: Hmm.
231 00:23:57.750 ⇒ 00:24:03.870 19257868273: Like you could create as tentative and then put the start date like mid August
232 00:24:04.450 ⇒ 00:24:06.650 19257868273: that way. At least we have it there.
233 00:24:06.880 ⇒ 00:24:11.679 19257868273: And for that. It’s gonna be it’s gonna be again. Me and someone on the AI team.
234 00:24:17.220 ⇒ 00:24:18.660 Amber Lin: yeah. Okay.
235 00:24:20.936 ⇒ 00:24:25.780 Amber Lin: My clock. If I is acting up and I cannot create projects, I may.
236 00:24:25.780 ⇒ 00:24:31.650 Amber Lin: So clients. Rico, can you help me make the projects in operating.
237 00:24:32.350 ⇒ 00:24:32.930 Rico Rejoso: Yep.
238 00:24:33.812 ⇒ 00:24:35.350 Rico Rejoso: Operating or clockify.
239 00:24:35.710 ⇒ 00:24:41.679 Amber Lin: In operating. Yeah. And also, we’ll need to do that for quackify later.
240 00:24:42.440 ⇒ 00:24:49.230 Amber Lin: Okay, so so yeah, let me document it in tickets. So we’ll say that
241 00:24:51.110 ⇒ 00:24:53.767 19257868273: Is that is that thing working like
242 00:24:54.720 ⇒ 00:24:57.999 Amber Lin: The clock applies operating
243 00:24:58.000 ⇒ 00:25:03.870 Amber Lin: little bit issues. I think a waste is gonna help us look into that, since Casey is away.
244 00:25:04.900 ⇒ 00:25:05.510 19257868273: Okay.
245 00:25:06.300 ⇒ 00:25:09.520 Amber Lin: Hmm! Add new clients
246 00:25:09.710 ⇒ 00:25:20.559 Amber Lin: projects. So insomnia cookies is gonna be Robert me, who else are we taking on insomnia?
247 00:25:23.080 ⇒ 00:25:25.989 19257868273: I would have to check the channel. I don’t remember.
248 00:25:25.990 ⇒ 00:25:33.339 Amber Lin: Yeah, I think we said either Henry or Annie. I’m not sure who we decided on.
249 00:25:35.634 ⇒ 00:25:40.650 19257868273: I don’t think I don’t. I’m not 100% sure right now.
250 00:25:42.540 ⇒ 00:25:44.270 19257868273: Just throw someone on there.
251 00:25:44.520 ⇒ 00:25:47.900 Amber Lin: Okay, just throw it. Maybe just throw Annie on there for now.
252 00:25:49.540 ⇒ 00:26:01.930 Amber Lin: Okay, so for default, we’re gonna yeah Rico. I’ll share my screen. I’ll I’m documenting. I’ll make a I’m making a ticket so that you have somewhere to refer to.
253 00:26:02.310 ⇒ 00:26:07.890 Amber Lin: So 2 projects, one insulting.
254 00:26:08.620 ⇒ 00:26:14.120 Amber Lin: This is helping you on some parts of the consulting right.
255 00:26:16.398 ⇒ 00:26:23.149 19257868273: Yes, although I’m gonna have to finish up sort of both of these technical design documents.
256 00:26:23.150 ⇒ 00:26:23.650 Amber Lin: Oh!
257 00:26:25.130 ⇒ 00:26:28.140 19257868273: But it probably won’t be more than just a couple hours a week.
258 00:26:28.400 ⇒ 00:26:29.175 19257868273: Okay.
259 00:26:29.950 ⇒ 00:26:39.960 Amber Lin: Okay Henry and Medicare is gonna be just you, for now
260 00:26:42.990 ⇒ 00:26:47.279 Amber Lin: and then we had interlude, was
261 00:26:47.410 ⇒ 00:26:50.700 Amber Lin: Utam, and I’ll just put Mustafa for now.
262 00:26:51.520 ⇒ 00:26:54.550 Amber Lin: Alright.
263 00:27:04.110 ⇒ 00:27:05.030 Amber Lin: okay.
264 00:27:06.140 ⇒ 00:27:06.530 Rico Rejoso: So only.
265 00:27:06.530 ⇒ 00:27:07.220 Amber Lin: Oh!
266 00:27:07.220 ⇒ 00:27:10.199 Rico Rejoso: Line. Medicare would be on tentative right.
267 00:27:10.690 ⇒ 00:27:11.230 Amber Lin: Hmm, yeah.
268 00:27:11.710 ⇒ 00:27:12.690 Rico Rejoso: Okay.
269 00:27:48.500 ⇒ 00:27:51.340 Amber Lin: Let’s see, Mustafa would be spending.
270 00:27:51.340 ⇒ 00:27:52.160 19257868273: Everyone.
271 00:27:52.160 ⇒ 00:27:52.560 Amber Lin: Like.
272 00:27:52.560 ⇒ 00:27:53.090 19257868273: It’s a problem.
273 00:27:53.090 ⇒ 00:27:57.569 Amber Lin: 4 or 5 h each week, on default or more, like 3 h.
274 00:27:59.070 ⇒ 00:28:00.000 19257868273: For? Who?
275 00:28:00.978 ⇒ 00:28:03.470 Amber Lin: For on default for Mustafa.
276 00:28:05.888 ⇒ 00:28:07.440 19257868273: It’s probably 5 HA week.
277 00:28:07.600 ⇒ 00:28:09.200 Amber Lin: Okay. Same for Henry.
278 00:28:13.310 ⇒ 00:28:15.130 19257868273: Yeah. Probably staying for Henry.
279 00:28:15.420 ⇒ 00:28:16.080 Amber Lin: Okay?
280 00:28:16.750 ⇒ 00:28:26.139 Amber Lin: So we’ll say, starting, oh, let’s see, starting on
281 00:28:31.030 ⇒ 00:28:31.750 Amber Lin: first.st
282 00:28:55.970 ⇒ 00:29:03.970 Amber Lin: Okay. So for Medicare, are we start? Oh, putting as tentative interlude. When are we starting?
283 00:29:05.610 ⇒ 00:29:06.770 19257868273: Tomorrow.
284 00:29:07.050 ⇒ 00:29:14.669 Amber Lin: Oh, okay, wow! Starting July 23.rd You would spend how many hours.
285 00:29:16.750 ⇒ 00:29:19.789 19257868273: I’m gonna spend, like probably 3 HA week or 2 HA week.
286 00:29:21.080 ⇒ 00:29:23.989 Amber Lin: And that’s just say fucking, okay? And
287 00:29:24.620 ⇒ 00:29:27.760 Amber Lin: where someone on the AI team spend like 5 HA week.
288 00:29:29.941 ⇒ 00:29:31.600 19257868273: Yeah, if I are living.
289 00:29:31.600 ⇒ 00:29:35.499 19257868273: Okay? Yeah, I put, I must put.
290 00:29:35.850 ⇒ 00:29:37.899 Amber Lin: Yeah, I put Mustafa there
291 00:29:39.200 ⇒ 00:29:42.129 19257868273: So basically, we have 5 K for about a month’s work.
292 00:29:42.340 ⇒ 00:29:49.900 19257868273: So ideally, we need to hit hit 30 HI believe, gets us to
293 00:29:50.760 ⇒ 00:29:53.830 19257868273: the right billable rate, like what is 5 k. By divided by 30.
294 00:29:56.670 ⇒ 00:30:00.649 Amber Lin: 6, 1, 1, 1, 66, yeah.
295 00:30:01.070 ⇒ 00:30:06.109 19257868273: Okay, cool. So 30. So whatever 30 h comes into is what we have.
296 00:30:07.320 ⇒ 00:30:08.610 Amber Lin: 30 h for a month.
297 00:30:08.610 ⇒ 00:30:11.650 19257868273: It’s also one month. It’s also one month
298 00:30:11.850 ⇒ 00:30:13.779 19257868273: like it, which it ends mid month.
299 00:30:13.960 ⇒ 00:30:18.839 19257868273: So technically, it’s whatever divided by 4.
300 00:30:19.190 ⇒ 00:30:24.339 19257868273: How many, ever weeks between tomorrow and the 23rd of August.
301 00:30:24.990 ⇒ 00:30:26.380 Amber Lin: Yeah, so, probably.
302 00:30:26.380 ⇒ 00:30:33.610 19257868273: Probably 4 point something 30 h, divided by 4 point, probably.
303 00:30:33.610 ⇒ 00:30:35.250 Amber Lin: Yeah, around for like.
304 00:30:35.250 ⇒ 00:30:35.810 19257868273: Hours, right.
305 00:30:35.810 ⇒ 00:30:41.050 Amber Lin: 7, 7 h per week, which is good cause you do 2 h myself. It does 5.
306 00:30:41.810 ⇒ 00:30:43.020 19257868273: Alright, perfect.
307 00:30:43.390 ⇒ 00:30:43.960 Amber Lin: Yeah.
308 00:30:44.553 ⇒ 00:30:50.000 Amber Lin: Medicare, how much time would you be spending around 2.
309 00:30:53.670 ⇒ 00:31:02.509 19257868273: Yeah, it’s gonna be a similar size to interlude. It’s gonna be like, you can just put 3 h. And then whoever’s on AI like you can assign Miguel, for now.
310 00:31:02.992 ⇒ 00:31:05.250 19257868273: You can put 5 h from him.
311 00:31:07.250 ⇒ 00:31:08.680 Amber Lin: Yeah, I’m gonna copy.
312 00:31:08.680 ⇒ 00:31:11.470 19257868273: Negotiate a higher amount than we can double his time.
313 00:31:12.250 ⇒ 00:31:12.730 Amber Lin: Okay.
314 00:31:12.910 ⇒ 00:31:15.820 Amber Lin: So I’ll also say 5 k, 1 month.
315 00:31:16.050 ⇒ 00:31:19.890 Amber Lin: 30 h. Total. Tentative starting. When.
316 00:31:21.610 ⇒ 00:31:25.969 19257868273: I’m like, let’s just put 2 weeks from now on whatever Monday. Yeah.
317 00:31:25.970 ⇒ 00:31:32.879 Amber Lin: Okay, so that would be August one. August 4.th
318 00:31:34.570 ⇒ 00:31:35.160 Amber Lin: Yes.
319 00:31:36.330 ⇒ 00:31:38.690 19257868273: August 4.th All right.
320 00:31:40.064 ⇒ 00:31:47.960 Amber Lin: Insomnia. I know, Robert said. He wants 10 h from me. I don’t know if I have 10 h remaining.
321 00:31:48.509 ⇒ 00:31:53.060 Amber Lin: I’ll need to check with him what the allocation is for insomnia.
322 00:31:55.390 ⇒ 00:31:56.320 Amber Lin: Let’s see.
323 00:31:58.429 ⇒ 00:32:02.879 Amber Lin: Okay, yeah, I’ll know more tomorrow.
324 00:32:03.789 ⇒ 00:32:16.689 Amber Lin: We have a meeting. He has a meeting with clients, and then I have a meeting with him, so I’ll know more about someone. It’s on yet cookies tomorrow, so I’ll say it’s starting July 23rd tomorrow.
325 00:32:16.950 ⇒ 00:32:20.229 19257868273: Yeah. My only feedback amber is just make sure someone is with.
326 00:32:20.420 ⇒ 00:32:25.060 19257868273: make sure someone is with Robert in every meeting for insomnia.
327 00:32:26.770 ⇒ 00:32:27.260 Amber Lin: Oh!
328 00:32:27.260 ⇒ 00:32:29.339 19257868273: Ideally. That’s Henry or Annie.
329 00:32:29.340 ⇒ 00:32:31.150 Amber Lin: Well, let me add him.
330 00:32:31.480 ⇒ 00:32:32.320 Amber Lin: Yeah.
331 00:32:33.800 ⇒ 00:32:35.760 19257868273: Robert’s gonna have a tendency
332 00:32:36.020 ⇒ 00:32:40.140 19257868273: to just try to crank it on its own, which is fine, but just make sure someone.
333 00:32:40.140 ⇒ 00:32:41.820 Amber Lin: I’ve realized.
334 00:32:42.162 ⇒ 00:32:43.530 19257868273: Yeah, make sure, someone.
335 00:32:43.530 ⇒ 00:32:44.320 Amber Lin: I’m gonna ask.
336 00:32:44.320 ⇒ 00:32:44.680 19257868273: Meeting.
337 00:32:45.590 ⇒ 00:32:49.819 Amber Lin: Someone else to shadow you on.
338 00:32:50.530 ⇒ 00:32:50.870 19257868273: Awesome.
339 00:32:50.870 ⇒ 00:33:02.060 Amber Lin: Client meetings, and then add Henry or Annie, and if and
340 00:33:25.159 ⇒ 00:33:26.719 Amber Lin: okay paying to him.
341 00:33:27.115 ⇒ 00:33:27.450 19257868273: Okay.
342 00:33:27.450 ⇒ 00:33:34.340 Amber Lin: He is very, very, very busy. Seems recently. So I’ll follow up on that if he doesn’t.
343 00:33:34.800 ⇒ 00:33:40.309 Amber Lin: Okay, that’s all. The new clients I was checking, operating, and
344 00:33:43.430 ⇒ 00:33:49.030 19257868273: I assume Miguel is, is under allocated and Casey is under allocated.
345 00:33:52.290 ⇒ 00:33:53.760 Amber Lin: Yeah, let me come check.
346 00:33:55.440 ⇒ 00:34:02.020 Amber Lin: We didn’t allocate for internal internal. But I guess, we do we need to.
347 00:34:04.320 ⇒ 00:34:07.869 19257868273: I mean, I don’t. I don’t think it’s worth allocating for internal. Basically.
348 00:34:08.389 ⇒ 00:34:11.479 19257868273: they don’t have ghost internal. I don’t really care about.
349 00:34:11.480 ⇒ 00:34:12.170 Amber Lin: I agree.
350 00:34:12.179 ⇒ 00:34:14.689 19257868273: The internal projects on like.
351 00:34:16.580 ⇒ 00:34:21.119 Amber Lin: I agree. So we’ll I think we will. Just look at whatever
352 00:34:21.400 ⇒ 00:34:32.465 Amber Lin: they have remaining on allocations, and then we will add them, okay. So I have.
353 00:34:34.909 ⇒ 00:34:36.229 Amber Lin: What’s this?
354 00:34:36.909 ⇒ 00:34:39.170 Amber Lin: Oh, and then default?
355 00:34:39.469 ⇒ 00:34:45.610 Amber Lin: Yeah, once I I think once we add default, my hours are pretty close to fully allocated.
356 00:34:49.820 ⇒ 00:34:51.800 Amber Lin: Ann has.
357 00:34:52.350 ⇒ 00:34:58.060 19257868273: I mean, if you want, I can move like I can help. I can have a Miguel take on
358 00:34:58.200 ⇒ 00:34:59.590 19257868273: default.
359 00:35:01.330 ⇒ 00:35:08.789 Amber Lin: Hmm, yeah, I think this is where I kind of wanted to hire a coordinator.
360 00:35:09.502 ⇒ 00:35:17.380 Amber Lin: If there’s not much project management you need from me in default, like someone can keep track of it. I don’t want it to be you.
361 00:35:20.020 ⇒ 00:35:22.600 Amber Lin: It’s too much work for you to look over.
362 00:35:23.623 ⇒ 00:35:26.490 Amber Lin: Same for the other ones.
363 00:35:28.685 ⇒ 00:35:29.930 Amber Lin: Allocate
364 00:35:39.160 ⇒ 00:35:43.549 Amber Lin: mustafas on ABC. Is he on any other?
365 00:35:43.720 ⇒ 00:35:48.329 Amber Lin: I don’t think he’s on any other clients, so he’s internal. And then ABC.
366 00:35:48.440 ⇒ 00:35:52.989 Amber Lin: So now he’s now he’s on default. So that takes some time.
367 00:35:53.450 ⇒ 00:35:58.060 Amber Lin: It’s good. Casey’s Casey’s doing ABC. And off the record.
368 00:36:00.240 ⇒ 00:36:02.960 19257868273: Out of all the 3 is is like
369 00:36:03.230 ⇒ 00:36:05.500 19257868273: kind of the most reliable right now, so.
370 00:36:05.720 ⇒ 00:36:06.260 Amber Lin: I agree.
371 00:36:06.260 ⇒ 00:36:10.660 19257868273: I just want. I’m I’d rather just have him take on the new client work.
372 00:36:11.220 ⇒ 00:36:12.790 19257868273: Yeah, I agree.
373 00:36:13.130 ⇒ 00:36:17.120 Amber Lin: Totally we can. We can, I think, even for Medicare. I would
374 00:36:17.370 ⇒ 00:36:23.409 Amber Lin: like. I vote putting it on Mustafa, and then Miguel and Casey can help with the internal work.
375 00:36:25.540 ⇒ 00:36:29.019 19257868273: Yeah, I think if Medicare closes, then I think we’ll
376 00:36:29.210 ⇒ 00:36:34.180 19257868273: I’ll get a chance. I got a sense of like what we want to do at that point. In a couple more weeks.
377 00:36:34.690 ⇒ 00:36:35.110 Amber Lin: Okay.
378 00:36:35.110 ⇒ 00:36:36.090 19257868273: We haven’t.
379 00:36:36.090 ⇒ 00:36:36.660 Amber Lin: How come?
380 00:36:36.660 ⇒ 00:36:39.260 19257868273: There’s 2 other central clients.
381 00:36:39.490 ⇒ 00:36:41.170 Amber Lin: Okay. Sustain.
382 00:36:42.023 ⇒ 00:36:44.430 19257868273: That’s like kind of in the final
383 00:36:45.130 ⇒ 00:36:48.899 19257868273: like negotiation. I don’t. I don’t know whether it’s gonna work or not.
384 00:36:49.476 ⇒ 00:36:56.180 19257868273: They’re penny pinching, and I’m kind of like borderline gonna say, like fuck off, but not sure.
385 00:36:57.060 ⇒ 00:36:57.540 Amber Lin: Okay.
386 00:36:57.540 ⇒ 00:37:01.140 19257868273: Second like this company, Nefco. They’re like a lot larger.
387 00:37:01.830 ⇒ 00:37:05.220 19257868273: May take a few weeks, but they’re they’re kind of towards the end, too.
388 00:37:08.400 ⇒ 00:37:11.709 19257868273: So. Yeah, I’m hopeful. We have at least one or 2 more.
389 00:37:12.480 ⇒ 00:37:12.910 Amber Lin: Okay.
390 00:37:13.580 ⇒ 00:37:16.580 19257868273: I have a question for Fan Stake.
391 00:37:16.580 ⇒ 00:37:16.960 19257868273: Fine.
392 00:37:16.960 ⇒ 00:37:20.219 Amber Lin: So it’s you and Annie on fan steak right.
393 00:37:22.050 ⇒ 00:37:22.850 19257868273: Correct.
394 00:37:23.070 ⇒ 00:37:26.410 19257868273: It’ll be me, Amy, and we need a we’ll need a data engineer.
395 00:37:28.170 ⇒ 00:37:33.350 Amber Lin: Okay, let me put her name on there first.st
396 00:37:33.790 ⇒ 00:37:36.320 19257868273: So, Annie, okay, the.
397 00:37:37.020 ⇒ 00:37:39.510 Amber Lin: And data engineer to cover you, right?
398 00:37:41.780 ⇒ 00:37:45.400 19257868273: Yeah, like, I. Well, this is either where I was. Gonna bring in kitesight.
399 00:37:46.490 ⇒ 00:37:47.070 Amber Lin: Hmm.
400 00:37:49.190 ⇒ 00:37:57.119 19257868273: Or I was gonna see who who has capacity internally. But for for fanstake, I need both
401 00:37:57.280 ⇒ 00:38:04.629 19257868273: some data engineering, some data modeling. And then Bi, Amy can handle all the bi work.
402 00:38:04.750 ⇒ 00:38:10.269 19257868273: It’s the data, engineering and data modeling that we don’t have anyone.
403 00:38:10.760 ⇒ 00:38:11.200 Amber Lin: I’m not.
404 00:38:11.200 ⇒ 00:38:13.319 19257868273: Want to bring Luke on.
405 00:38:13.960 ⇒ 00:38:18.670 19257868273: He’s not. He’s not very reliable. Not sure about.
406 00:38:19.340 ⇒ 00:38:24.430 19257868273: I don’t, either. I just like can’t over explain some things
407 00:38:24.600 ⇒ 00:38:27.029 19257868273: I just don’t have time to do that. So
408 00:38:27.320 ⇒ 00:38:32.369 19257868273: it’s either gonna be it’s it’s either. Yeah. It may just be I may just
409 00:38:32.490 ⇒ 00:38:44.589 19257868273: if we if they sign, I may just give typeside a piece of it and say, like, Hey, we’re gonna take on pming. We’re gonna take on Bi, and they’re gonna own ce and and ae, and I may just
410 00:38:46.180 ⇒ 00:38:47.240 19257868273: okay.
411 00:38:47.710 ⇒ 00:38:49.400 Amber Lin: Pay, mistake is hourly.
412 00:38:50.710 ⇒ 00:38:52.459 19257868273: No, it’s gonna be a package.
413 00:38:53.010 ⇒ 00:38:58.000 Amber Lin: Oh, it’s a fixed price of how much per month.
414 00:38:58.000 ⇒ 00:39:03.829 19257868273: It’s in their, it’s in their it’s in their thing. But you can just put 15 KA month for now.
415 00:39:03.830 ⇒ 00:39:04.550 Amber Lin: Okay.
416 00:39:05.860 ⇒ 00:39:08.309 19257868273: I pitched them on time 15 and 20.
417 00:39:11.720 ⇒ 00:39:12.940 Amber Lin: So class.
418 00:39:17.450 ⇒ 00:39:21.060 19257868273: It’s like, gonna be super easy to work.
419 00:39:21.830 ⇒ 00:39:24.140 19257868273: So fanstick has
420 00:39:24.140 ⇒ 00:39:32.459 19257868273: I don’t want to bring in someone else like the problem is that we don’t have anyone on the data modeling side that’s available that I like trust.
421 00:39:33.350 ⇒ 00:39:37.550 19257868273: If I bring in Luke or Kyle like they’re just gonna run up the hours.
422 00:39:37.660 ⇒ 00:39:39.750 19257868273: Don’t get anything done so.
423 00:39:40.790 ⇒ 00:39:44.800 19257868273: I’m kind of like thinking about bringing.
424 00:39:44.800 ⇒ 00:39:50.479 Amber Lin: If it’s 15 K. If it’s 15 KI think we have room to bring in kites. Say
425 00:39:51.910 ⇒ 00:39:52.410 Amber Lin: it’s fine.
426 00:39:52.410 ⇒ 00:39:53.280 19257868273: Actually what you said.
427 00:39:53.280 ⇒ 00:39:53.980 Amber Lin: Easy.
428 00:39:53.980 ⇒ 00:39:54.590 19257868273: But
429 00:39:54.800 ⇒ 00:39:59.209 19257868273: but if it’s 15 KI want to try to fulfill the whole thing, for, like 5 or 6 K.
430 00:39:59.440 ⇒ 00:39:59.990 19257868273: You know.
431 00:40:02.140 ⇒ 00:40:13.539 19257868273: So I want it to be like 10 h or 15 h, like 10 h of Annie’s time per week, or 15 h of Annie’s time per week, and then I’ll kind of think about
432 00:40:13.660 ⇒ 00:40:15.710 19257868273: what’s the break off type site
433 00:40:15.950 ⇒ 00:40:19.139 19257868273: like. I think that’s probably helpful for you to tell me if like.
434 00:40:19.690 ⇒ 00:40:25.970 19257868273: if we have 15 h of Annie’s time, how much more budget do we have or
435 00:40:27.340 ⇒ 00:40:29.809 19257868273: like on that project?
436 00:40:31.740 ⇒ 00:40:36.069 19257868273: I may end up spending a little bit longer like I may spend 5 HA week.
437 00:40:38.600 ⇒ 00:40:42.279 19257868273: Okay, yeah. Right? Now, I put 5 h per week.
438 00:40:43.910 ⇒ 00:40:44.940 19257868273: Okay.
439 00:40:44.940 ⇒ 00:40:48.320 Amber Lin: Are you on fanstake? When does it start?
440 00:40:50.870 ⇒ 00:40:54.149 19257868273: It could start in probably in 2 weeks.
441 00:40:54.330 ⇒ 00:40:55.410 19257868273: I have to guess.
442 00:40:55.980 ⇒ 00:40:59.220 Amber Lin: Oh, okay. So no work has been done yet.
443 00:41:00.680 ⇒ 00:41:02.930 19257868273: No. We just billed for 1 3 weeks.
444 00:41:02.930 ⇒ 00:41:03.550 Amber Lin: Oh!
445 00:41:03.550 ⇒ 00:41:05.230 19257868273: Just me is approved.
446 00:41:05.230 ⇒ 00:41:05.600 Amber Lin: Oh!
447 00:41:05.600 ⇒ 00:41:06.640 19257868273: Oh, okay.
448 00:41:07.180 ⇒ 00:41:12.030 Amber Lin: Oh, okay, that that okay, that makes sense now. So I’m gonna put
449 00:41:13.540 ⇒ 00:41:14.660 Amber Lin: Annie’s time.
450 00:41:14.660 ⇒ 00:41:15.570 19257868273: Took that far.
451 00:41:15.570 ⇒ 00:41:20.610 19257868273: Yeah. Andy’s time would start. Let’s just say in 2 Mondays from now.
452 00:41:24.280 ⇒ 00:41:24.960 19257868273: Yeah.
453 00:41:25.280 ⇒ 00:41:35.399 Amber Lin: So I’m gonna put her allocations for August save that and then I’m gonna put your hours.
454 00:41:40.620 ⇒ 00:41:49.150 Amber Lin: I’m gonna say your hours for July, July and.
455 00:41:49.330 ⇒ 00:41:49.940 19257868273: Thanks.
456 00:41:49.940 ⇒ 00:41:54.030 Amber Lin: Okay, so we need a Dv.
457 00:42:01.270 ⇒ 00:42:15.960 Amber Lin: okay, health directories as far as read me, even, okay.
458 00:42:22.420 ⇒ 00:42:23.040 19257868273: Alright!
459 00:42:24.167 ⇒ 00:42:27.739 Amber Lin: Rico. Were you able to add the new projects.
460 00:42:30.190 ⇒ 00:42:30.940 Rico Rejoso: Not yet.
461 00:42:31.990 ⇒ 00:42:33.590 Amber Lin: I was on Cocky 5.
462 00:42:33.720 ⇒ 00:42:34.280 Rico Rejoso: Oh, yeah.
463 00:42:34.280 ⇒ 00:42:34.820 Amber Lin: Oh, okay.
464 00:42:34.820 ⇒ 00:42:35.700 Rico Rejoso: Operating.
465 00:42:36.270 ⇒ 00:42:40.179 Amber Lin: Yeah, I’m in. I’m in operating. Sorry I didn’t clarify that.
466 00:42:40.540 ⇒ 00:42:41.410 Rico Rejoso: Oh, I see!
467 00:42:41.930 ⇒ 00:42:45.489 Amber Lin: Yeah, let me try if I can add it. Now.
468 00:42:47.610 ⇒ 00:42:50.519 Amber Lin: yeah, utam any other concerns you have right now.
469 00:42:53.007 ⇒ 00:42:58.849 19257868273: No, that’s it. I just kinda wanna see how like, we can start looking at the data more frequently.
470 00:42:59.670 ⇒ 00:43:00.710 19257868273: I agree.
471 00:43:00.710 ⇒ 00:43:08.839 19257868273: I feel like it’s we. We have everything like hooked up, or we have all the data. So someone’s got to do it, or I’m gonna try to do it one of these nights
472 00:43:09.010 ⇒ 00:43:13.810 19257868273: fix all this stuff so I guess it’s a wish like if you can bring all the.
473 00:43:13.810 ⇒ 00:43:14.250 Amber Lin: Away!
474 00:43:14.250 ⇒ 00:43:15.090 19257868273: Data and stuff.
475 00:43:15.090 ⇒ 00:43:16.210 Amber Lin: Is not here.
476 00:43:16.210 ⇒ 00:43:16.949 19257868273: He’s not here.
477 00:43:17.650 ⇒ 00:43:18.910 19257868273: Okay, I don’t know where
478 00:43:18.910 ⇒ 00:43:22.649 19257868273: ideally he can bring all that he can bring all that together, otherwise I’ll have.
479 00:43:23.010 ⇒ 00:43:30.000 19257868273: Because we’re just sitting there like, nobody’s touching that. And okay, so to yeah, so
480 00:43:30.000 ⇒ 00:43:34.320 19257868273: bring all out into real, does he know the all the requirements for that.
481 00:43:35.940 ⇒ 00:43:39.060 19257868273: Yeah, I mean, so it’s so it’s just so basic like you could do.
482 00:43:39.820 ⇒ 00:43:40.470 Amber Lin: Okay.
483 00:43:40.700 ⇒ 00:43:42.310 19257868273: Yeah, I mean, he just needs to bring in.
484 00:43:42.310 ⇒ 00:43:42.670 Amber Lin: Okay.
485 00:43:42.790 ⇒ 00:43:48.700 19257868273: Hours and then bring in. You just need to bring in the hours and then bring in the allocations, and then he can model.
486 00:43:48.700 ⇒ 00:43:49.429 Amber Lin: All right.
487 00:43:49.980 ⇒ 00:43:51.460 19257868273: You can model what it looks like.
488 00:43:52.720 ⇒ 00:43:57.460 Amber Lin: Okay, so let me sync with him on that.
489 00:43:58.220 ⇒ 00:44:00.000 Amber Lin: And
490 00:44:00.680 ⇒ 00:44:17.950 Amber Lin: next week is when we do allocations for August. So next week we’ll have I mean me and Rico is gonna have this pre meeting to make sure everything’s in place and ready, and then we have an hour meeting to talk about what we’re gonna do for August.
491 00:44:19.233 ⇒ 00:44:21.700 19257868273: Okay, perfect. I’ll be there.
492 00:44:21.700 ⇒ 00:44:22.200 Amber Lin: Yeah.
493 00:44:22.200 ⇒ 00:44:29.459 19257868273: Yeah, I wanna talk to August. I mean, the biggest concern I have is that like, we’re about to get jammed with clients.
494 00:44:29.740 ⇒ 00:44:38.119 Amber Lin: But I think we realize we have a lot of people have capacity. I think the Pm. Side is jammed. Your time is jammed, but our engineers have time.
495 00:44:39.320 ⇒ 00:44:41.480 19257868273: Yeah. So I agree, I think.
496 00:44:46.000 ⇒ 00:44:47.647 19257868273: sorry, yeah, I agree.
497 00:44:48.060 ⇒ 00:44:48.720 Amber Lin: Hmm.
498 00:44:48.720 ⇒ 00:44:52.459 19257868273: So that’s why I just want to make sure that everybody’s like fully allocated where possible.
499 00:44:54.840 ⇒ 00:44:57.670 19257868273: So we can maximize, especially the people that are full time.
500 00:44:57.890 ⇒ 00:45:05.980 19257868273: We can maximize and additionally, like Mustafa can probably start to do data engineering work.
501 00:45:06.910 ⇒ 00:45:07.620 Amber Lin: Wow!
502 00:45:07.700 ⇒ 00:45:13.090 19257868273: He’s pretty good. So like, if, like worst case, if like.
503 00:45:13.270 ⇒ 00:45:17.990 19257868273: if the kitesight thing doesn’t work, I could bring him with me onto kitesite and kind of teach him how to do everything.
504 00:45:18.550 ⇒ 00:45:19.140 Amber Lin: Hmm.
505 00:45:19.290 ⇒ 00:45:25.249 19257868273: The work is so the work is so I would literally do it. I just like, don’t wanna promise. So
506 00:45:25.550 ⇒ 00:45:28.819 19257868273: I mean, maybe we could just all, maybe me, him and
507 00:45:28.940 ⇒ 00:45:33.509 19257868273: maybe me. Him and Annie Rip rip it, and we try to rip it for 5 k. 6 K.
508 00:45:34.260 ⇒ 00:45:34.840 Amber Lin: Or.
509 00:45:36.150 ⇒ 00:45:38.990 19257868273: For Kitesight, I mean for a fan’s sake.
510 00:45:39.990 ⇒ 00:45:45.089 Amber Lin: Oh, I mean I don’t. I don’t think that’s a problem.
511 00:45:45.510 ⇒ 00:45:47.340 Amber Lin: Musa was really good.
512 00:45:50.020 ⇒ 00:45:51.729 19257868273: Yeah, let me think about it.
513 00:45:52.160 ⇒ 00:45:53.160 Amber Lin: Yeah, okay.
514 00:45:53.410 ⇒ 00:45:55.050 19257868273: Let me let me think about it.
515 00:45:55.800 ⇒ 00:45:56.510 Amber Lin: Okay.
516 00:45:56.840 ⇒ 00:45:57.300 19257868273: They’re not.
517 00:45:57.300 ⇒ 00:45:57.680 Amber Lin: Yeah.
518 00:45:57.680 ⇒ 00:45:59.580 19257868273: So fast so it could be good. But
519 00:46:01.820 ⇒ 00:46:07.890 19257868273: yeah, I mean also this guy, tomorrow you’re interviewing. Vashtev is good. I’m like, really fingers crossed. That you like him.
520 00:46:08.440 ⇒ 00:46:09.360 19257868273: We can bring him on.
521 00:46:10.460 ⇒ 00:46:15.229 Amber Lin: What do we want him on, I what will we put him on.
522 00:46:15.230 ⇒ 00:46:21.950 19257868273: Be standing for for a wash like data engineering and basically.
523 00:46:21.950 ⇒ 00:46:22.359 Amber Lin: Anything! Dave.
524 00:46:22.360 ⇒ 00:46:23.580 19257868273: Engineering.
525 00:46:24.140 ⇒ 00:46:24.550 Amber Lin: Okay.
526 00:46:24.550 ⇒ 00:46:28.620 19257868273: Like, for example, this operating work, he! He would totally rip that, like.
527 00:46:29.620 ⇒ 00:46:31.799 19257868273: But he just he just becomes the next sort of
528 00:46:32.560 ⇒ 00:46:35.989 19257868273: data engineer like. It’s right him then away from me
529 00:46:36.470 ⇒ 00:46:39.249 19257868273: right now. We don’t have anybody else that can do de work.
530 00:46:39.690 ⇒ 00:46:41.039 Amber Lin: Yeah, that’s true.
531 00:46:49.907 ⇒ 00:46:57.113 Amber Lin: Let’s see. So to do from this meeting gotta add everything to operating.
532 00:46:58.400 ⇒ 00:47:03.459 Amber Lin: Well, I’ll probably put something on a wish’s calendar to make sure that he
533 00:47:04.550 ⇒ 00:47:16.620 Amber Lin: he knows what to do and is doing it. And hopefully, by next week we’ll have something out. But to review the next week around this time we’ll talk about what’s for August.
534 00:47:18.720 ⇒ 00:47:19.410 19257868273: Okay.
535 00:47:19.830 ⇒ 00:47:21.650 Amber Lin: Okay, yeah, and I should.
536 00:47:21.650 ⇒ 00:47:22.619 Amber Lin: And I’ll in the chat.
537 00:47:22.620 ⇒ 00:47:27.119 19257868273: I’ll get. I’ll get back. I’ll get some data into that clockify sheet
538 00:47:27.410 ⇒ 00:47:31.039 19257868273: like some some some data from the financial models.
539 00:47:31.250 ⇒ 00:47:34.250 19257868273: I just don’t want to put people’s salaries everywhere. It’s just.
540 00:47:34.250 ⇒ 00:47:36.850 Amber Lin: Yeah, yeah, I totally understand. I don’t think it’s necessary.
541 00:47:36.850 ⇒ 00:47:37.670 19257868273: Someday so.
542 00:47:37.750 ⇒ 00:47:38.500 Amber Lin: Yeah.
543 00:47:38.500 ⇒ 00:47:42.159 19257868273: Yeah. So I’ll once I model things, I’ll move it back into another seat.
544 00:47:42.450 ⇒ 00:47:43.490 19257868273: Okay, yeah.
545 00:47:43.490 ⇒ 00:47:44.530 Amber Lin: Sounds good.
546 00:47:46.391 ⇒ 00:47:52.879 19257868273: Yeah. And then we’ll do this kind of manually for a month or so, and then we’ll end up moving everything into into like the data warehouse. So.
547 00:47:52.880 ⇒ 00:47:55.460 Amber Lin: Hmm, okay.
548 00:47:58.420 ⇒ 00:48:04.540 19257868273: Okay, cool. I had a really good meeting with another sort of senior Pm, person today.
549 00:48:04.770 ⇒ 00:48:05.170 Amber Lin: Okay.
550 00:48:05.170 ⇒ 00:48:12.040 19257868273: Take another job, but she was interested in part time work with us so maybe she could
551 00:48:12.300 ⇒ 00:48:18.079 19257868273: come in, and I don’t know. Just be an assist wherever we need like. Sort of like Alex.
552 00:48:20.340 ⇒ 00:48:24.880 19257868273: You know, it can’t hurt to have more support for you, even if there’s people just like
553 00:48:25.070 ⇒ 00:48:32.090 19257868273: building up processes or maybe they can run one or 2 small clients I don’t know, so.
554 00:48:34.080 ⇒ 00:48:39.240 Amber Lin: I think if it’s small clients like some.
555 00:48:39.390 ⇒ 00:48:44.139 Amber Lin: if it’s small clients, like, I want to look for someone like rico, I think that.
556 00:48:44.140 ⇒ 00:48:44.960 19257868273: That’s the best.
557 00:48:44.960 ⇒ 00:48:50.450 Amber Lin: Take. We can aim for you. Rico. Do you know anyone that’s like you that we can find.
558 00:48:50.450 ⇒ 00:48:50.870 19257868273: Exactly.
559 00:48:51.710 ⇒ 00:48:53.149 19257868273: I already asked him. Don’t worry.
560 00:48:53.530 ⇒ 00:48:54.195 Amber Lin: Oh!
561 00:48:54.860 ⇒ 00:48:55.880 19257868273: And weeks ago.
562 00:48:58.460 ⇒ 00:49:00.270 19257868273: Is that okay?
563 00:49:00.270 ⇒ 00:49:01.050 Amber Lin: You best.
564 00:49:01.050 ⇒ 00:49:04.209 19257868273: Figure it out. I have a lot of people in my inbox right now that I have to mess.
565 00:49:04.210 ⇒ 00:49:06.900 19257868273: Okay, we’ll find we’ll find someone.
566 00:49:07.880 ⇒ 00:49:14.380 Amber Lin: Okay. Yep, yeah. And for the Coordinator recruiting.
567 00:49:14.876 ⇒ 00:49:17.810 Amber Lin: Let me know how I can help with that.
568 00:49:20.000 ⇒ 00:49:20.904 19257868273: Yeah.
569 00:49:21.810 ⇒ 00:49:30.509 19257868273: everything’s careers. And then I feel like the only thing I can do is I have to just pay the thing on Linkedin. So as soon as the month closes I’ll probably start doing that.
570 00:49:31.310 ⇒ 00:49:33.359 Amber Lin: Yeah, let’s check how much it is.
571 00:49:33.360 ⇒ 00:49:34.340 Rico Rejoso: Page, as well.
572 00:49:34.580 ⇒ 00:49:35.390 Amber Lin: Okay.
573 00:49:35.740 ⇒ 00:49:44.499 Amber Lin: cause we have, we’re probably have to have to pay blue people when we hire someone from them. So we probably end up paying
574 00:49:45.030 ⇒ 00:49:45.610 Amber Lin: some.
575 00:49:45.610 ⇒ 00:49:46.819 19257868273: Yeah, sure. Sure.
576 00:49:47.270 ⇒ 00:49:48.140 Amber Lin: Yeah.
577 00:49:51.000 ⇒ 00:49:52.150 Amber Lin: Okay, yeah.
578 00:49:52.650 ⇒ 00:49:54.090 Amber Lin: Thanks for the meeting.
579 00:49:56.490 ⇒ 00:49:57.850 19257868273: Okay. Thank you guys.
580 00:49:57.850 ⇒ 00:49:58.190 Rico Rejoso: Thanks.
581 00:49:58.190 ⇒ 00:49:59.980 Amber Lin: Alright, bye.
582 00:50:00.860 ⇒ 00:50:01.530 TELEPHONE_USER: Bye.