Meeting Title: ABC | Grooming Date: 2025-06-02 Meeting participants: Amber Lin, Casie Aviles, Uttam Kumaran, Annie Yu
WEBVTT
1 00:00:16.810 ⇒ 00:00:18.030 Uttam Kumaran: Hello!
2 00:00:27.630 ⇒ 00:00:28.640 Amber Lin: Hello!
3 00:00:29.140 ⇒ 00:00:30.270 Uttam Kumaran: Hi.
4 00:00:30.270 ⇒ 00:00:36.470 Amber Lin: Hi! I am at a Indian restaurant. If you can’t tell from my background music.
5 00:00:37.710 ⇒ 00:00:38.679 Uttam Kumaran: Oh, really. Okay.
6 00:00:38.680 ⇒ 00:00:48.629 Amber Lin: Yeah, I am a bit doubtful how my stomach will react to this. It was very tasty, but I I think my gut has been very accustomed to white white people.
7 00:00:49.855 ⇒ 00:00:51.080 Uttam Kumaran: Funny.
8 00:00:51.860 ⇒ 00:01:01.129 Amber Lin: Okay, let me join on my computer. So I can share screen. And then let’s get started.
9 00:01:02.285 ⇒ 00:01:05.280 Amber Lin: So here is linear.
10 00:01:07.440 ⇒ 00:01:09.000 Amber Lin: It’s too.
11 00:01:09.570 ⇒ 00:01:16.220 Amber Lin: And let’s see where we’re at from last time.
12 00:01:17.910 ⇒ 00:01:18.650 Amber Lin: And
13 00:01:23.940 ⇒ 00:01:24.690 Amber Lin: thank you.
14 00:01:32.580 ⇒ 00:01:33.350 Amber Lin: So no.
15 00:01:34.160 ⇒ 00:01:42.720 Amber Lin: so overall, I think it’s good to just view this on the project level. So we have some related to dashboard. We have
16 00:01:43.477 ⇒ 00:01:49.280 Amber Lin: Andy, it’s evaluations. And then anything related to training training assistance.
17 00:01:49.830 ⇒ 00:01:50.530 Amber Lin: Thank you.
18 00:01:51.210 ⇒ 00:01:54.389 Amber Lin: So back here the issues.
19 00:01:58.760 ⇒ 00:01:59.940 Amber Lin: it’s me.
20 00:02:01.670 ⇒ 00:02:03.699 Amber Lin: It’s my skating rodent.
21 00:02:05.130 ⇒ 00:02:05.990 Amber Lin: Oh.
22 00:02:08.620 ⇒ 00:02:15.010 Amber Lin: this is something we should do in cycle. We’ll sign. Assign that way later. Add a due date to it.
23 00:02:15.640 ⇒ 00:02:16.730 Amber Lin: Make this.
24 00:02:17.950 ⇒ 00:02:22.710 Amber Lin: This we will also trying to figure out this week.
25 00:02:28.430 ⇒ 00:02:30.949 Amber Lin: I think this, we just need to
26 00:02:34.750 ⇒ 00:02:35.820 Amber Lin: us.
27 00:02:36.530 ⇒ 00:02:37.500 Amber Lin: So.
28 00:02:38.350 ⇒ 00:02:40.260 Casie Aviles: Yeah, I did this earlier.
29 00:02:40.260 ⇒ 00:02:47.279 Amber Lin: Oh, great so you sent. I think you sent the Tim an email right.
30 00:02:48.430 ⇒ 00:02:50.870 Casie Aviles: I know I’ll I’ll send them a message on slack.
31 00:02:50.870 ⇒ 00:02:51.750 Amber Lin: Oh, okay.
32 00:02:57.360 ⇒ 00:02:59.910 Amber Lin: so we will check in soon.
33 00:03:00.320 ⇒ 00:03:03.420 Amber Lin: And then any updates for this one.
34 00:03:08.068 ⇒ 00:03:09.740 Casie Aviles: Yeah, this is to do. Yeah.
35 00:03:09.740 ⇒ 00:03:11.939 Amber Lin: Oh, sounds good.
36 00:03:20.000 ⇒ 00:03:25.569 Amber Lin: Can I say this is for mid mid this week, like Wednesday is what.
37 00:03:26.760 ⇒ 00:03:27.600 Casie Aviles: Yeah, sure.
38 00:03:27.600 ⇒ 00:03:33.560 Amber Lin: Okay, okay, reformat.
39 00:03:34.310 ⇒ 00:03:39.660 Amber Lin: Okay, let’s gonna go.
40 00:03:47.920 ⇒ 00:03:52.929 Amber Lin: Did I add this, did I assign this to myself? Or does someone assign this to me?
41 00:04:03.650 ⇒ 00:04:06.920 Amber Lin: Okay, sounds good.
42 00:04:07.510 ⇒ 00:04:09.019 Amber Lin: I will.
43 00:04:11.640 ⇒ 00:04:13.093 Amber Lin: 2 days.
44 00:04:14.930 ⇒ 00:04:23.876 Amber Lin: Oh, Wednesday or choose. I’ll say one second, and then
45 00:04:26.470 ⇒ 00:04:29.540 Amber Lin: think they’ll take like 2 to 3 points, can we?
46 00:04:37.480 ⇒ 00:04:43.469 Amber Lin: And then let’s look at.
47 00:04:57.650 ⇒ 00:05:01.150 Uttam Kumaran: Casey, can you send an email to Tim for anything we’re waiting on him on.
48 00:05:02.250 ⇒ 00:05:05.320 Uttam Kumaran: cause? I don’t know. I feel like he’s not on slack right now.
49 00:05:06.250 ⇒ 00:05:11.319 Casie Aviles: Oh, okay, okay, yeah. I was going to send on slack. But I’ll I’ll write an email instead.
50 00:05:11.320 ⇒ 00:05:26.949 Amber Lin: Oh, okay, sounds good. He’s on slack. But even if you see that he’s a little bit slow to respond because he just sees it, and then forgets about it, so he will respond. But I don’t know how fast he will be. I will circle back with your vet again to check in with him.
51 00:05:36.610 ⇒ 00:05:38.439 Amber Lin: Where are you? Which ones?
52 00:05:43.770 ⇒ 00:05:50.170 Amber Lin: I think this will be a priority. I think this will help us quite a bit, and
53 00:05:56.590 ⇒ 00:06:01.760 Amber Lin: seeing this current cycle current cycle just started.
54 00:06:02.500 ⇒ 00:06:11.510 Amber Lin: Think, let’s presentation reformat error
55 00:06:23.760 ⇒ 00:06:24.710 Amber Lin: soon.
56 00:06:38.980 ⇒ 00:06:45.490 Amber Lin: Okay, so this will be abandoned this week and let me check on this archive.
57 00:06:46.760 ⇒ 00:06:52.139 Amber Lin: Yeah, I’ll try to push the clients to finish this. By the end of this week. Let me
58 00:06:53.620 ⇒ 00:07:01.160 Amber Lin: and I’ll meet both meetings.
59 00:07:08.720 ⇒ 00:07:10.709 Amber Lin: It’s on Tuesday
60 00:07:17.150 ⇒ 00:07:19.260 Amber Lin: of weekly.
61 00:07:39.660 ⇒ 00:07:44.690 Amber Lin: Okay, let me go. Look at the remaining issues.
62 00:07:46.060 ⇒ 00:07:50.360 Amber Lin: I think this one. We could do this cycle.
63 00:07:56.140 ⇒ 00:07:58.489 Amber Lin: Thanks for thumbs. Feedback.
64 00:07:59.920 ⇒ 00:08:04.618 Annie Yu: The thumbs down feedback, and I believe that was assigned to me.
65 00:08:05.010 ⇒ 00:08:09.870 Amber Lin: Yeah, I just changed it. I saw it, and I don’t think it. I don’t think it’s something that you would do.
66 00:08:10.492 ⇒ 00:08:12.190 Annie Yu: No, we already have a Pr.
67 00:08:12.630 ⇒ 00:08:16.190 Amber Lin: Oh, you already do. Okay, never mind. Let me change it back to you.
68 00:08:16.190 ⇒ 00:08:19.159 Annie Yu: I did link the pr in the comment.
69 00:08:19.360 ⇒ 00:08:25.199 Amber Lin: Oh, fantastic! So I should move it to pr review great.
70 00:08:25.200 ⇒ 00:08:25.980 Annie Yu: Wheat.
71 00:08:26.510 ⇒ 00:08:33.819 Amber Lin: Yay, that’s awesome. Who do you want to review the pr. I assume that would be
72 00:08:34.250 ⇒ 00:08:35.559 Annie Yu: Utom.
73 00:08:37.280 ⇒ 00:08:39.949 Amber Lin: Can Casey review Pr, or.
74 00:08:40.249 ⇒ 00:08:43.540 Annie Yu: Think if Casey wants to do it, that’s probably fine, too.
75 00:08:43.699 ⇒ 00:08:44.559 Amber Lin: Okay.
76 00:08:46.370 ⇒ 00:08:52.750 Uttam Kumaran: Maybe you do the first.st Yeah, you can review it. Sorry. I just did. I saw it this morning, but I might be able to check it later tonight.
77 00:08:52.970 ⇒ 00:09:00.549 Amber Lin: Yeah, I know Utah is a little flooded today. So if we can do this internally first, st and if there’s anything we also need, we’ll ask Utah.
78 00:09:01.470 ⇒ 00:09:02.220 Casie Aviles: Okay.
79 00:09:02.700 ⇒ 00:09:03.240 Amber Lin: Look.
80 00:09:04.950 ⇒ 00:09:12.160 Amber Lin: And also this meeting is a little bit less of a grooming than a plan. This kind of more like a planning meeting, but
81 00:09:12.350 ⇒ 00:09:25.420 Amber Lin: since it’s Monday, cause we also have another grooming on Wednesday. But there is quite a few tickets that I do want to go through, and it’ll be a little bit slow. So thank you for bearing with me. We’re kinda restarting right now.
82 00:09:25.730 ⇒ 00:09:28.761 Uttam Kumaran: I like the slow, methodical meetings like this.
83 00:09:29.140 ⇒ 00:09:38.599 Amber Lin: I know it. It gives me a bit more comfort, and at least it’s not like I don’t have a hold of anything when I’m not doing these meetings, so I appreciate you making us book this.
84 00:09:38.600 ⇒ 00:09:41.909 Uttam Kumaran: Yeah. And I, I think you know the goal, for everybody is like we wanna get.
85 00:09:42.210 ⇒ 00:09:47.169 Uttam Kumaran: we wanna try to be 2 weeks ahead, meaning for the next cycle, we already know, like.
86 00:09:47.710 ⇒ 00:09:55.209 Uttam Kumaran: 80% what we’re gonna do right? So we’ll we’ll have to start doing these to catch up. And then hopefully, it’s just to be like, okay, we’re we’re able to see a month ahead.
87 00:09:55.860 ⇒ 00:09:56.510 Amber Lin: Yeah.
88 00:09:57.460 ⇒ 00:10:01.460 Amber Lin: So Wednesday, we’ll also have another session, which will be very helpful.
89 00:10:02.020 ⇒ 00:10:04.678 Amber Lin: And right now we have.
90 00:10:05.850 ⇒ 00:10:11.190 Amber Lin: Alright. I. We added this, let’s just add all of it, and then we’ll see what we could do
91 00:10:11.740 ⇒ 00:10:20.109 Amber Lin: anything else here that you guys were working on just like the last one that any pointed out anything here that was worked on.
92 00:10:21.700 ⇒ 00:10:25.580 Amber Lin: See if we can delete just one second.
93 00:10:25.580 ⇒ 00:10:28.370 Casie Aviles: These are still in ready for.
94 00:10:28.370 ⇒ 00:10:32.510 Amber Lin: Development. Okay, sounds good. So
95 00:10:43.170 ⇒ 00:10:44.930 Amber Lin: abbreviations.
96 00:10:45.300 ⇒ 00:10:54.759 Amber Lin: I think this one we should help, because last time we checked, I think that. Oh, by the way. Button still doesn’t give any output, and I think we need to address that right now.
97 00:11:01.435 ⇒ 00:11:04.134 Amber Lin: maybe I’ll make this 2 separate issues.
98 00:11:09.470 ⇒ 00:11:12.429 Uttam Kumaran: Wait so for so these are the ones we went through last time, right.
99 00:11:12.560 ⇒ 00:11:13.370 Amber Lin: Yeah.
100 00:11:14.100 ⇒ 00:11:18.520 Uttam Kumaran: So the goal now is just to move them into the sprint, or are we like.
101 00:11:18.520 ⇒ 00:11:33.069 Amber Lin: Yeah. Cause right now, as you can see, the sprint has just started, and it’s Monday would love to give us some things that we know we’re gonna do this week, and then Wednesday, we’ll continue grooming so that we have stuff for next sprint as well.
102 00:11:33.070 ⇒ 00:11:33.710 Uttam Kumaran: Okay. Okay.
103 00:11:33.710 ⇒ 00:11:35.870 Amber Lin: Yeah, okay.
104 00:11:36.400 ⇒ 00:11:43.516 Amber Lin: So would like us to address. Oh, by the way, button issues.
105 00:11:44.510 ⇒ 00:11:47.100 Amber Lin: let’s see, once I see a boss.
106 00:11:47.550 ⇒ 00:11:51.189 Amber Lin: He was so treasure for Emperor Shimmers.
107 00:12:00.100 ⇒ 00:12:04.060 Amber Lin: Something, I think andy.
108 00:12:09.580 ⇒ 00:12:11.150 Amber Lin: those are fine
109 00:12:17.750 ⇒ 00:12:20.269 Amber Lin: gujam, if you can help me, brainstorm is there
110 00:12:20.570 ⇒ 00:12:26.469 Amber Lin: parts on the dashboard or analysis, that we should assign to Annie in this sprint.
111 00:12:27.640 ⇒ 00:12:30.500 Amber Lin: I don’t think we is related to them yet.
112 00:12:31.850 ⇒ 00:12:37.479 Uttam Kumaran: Yeah, I mean, the only thing I I wanted to talk about was like, if we’re gonna do sort of like this like insights thing or.
113 00:12:39.368 ⇒ 00:12:41.459 Uttam Kumaran: Like be able to actually share.
114 00:12:41.590 ⇒ 00:12:45.309 Uttam Kumaran: like on a weekly basis, like things from the dashboard.
115 00:12:45.910 ⇒ 00:12:59.129 Amber Lin: Yeah, I think basic sharing is pretty good. Now, I think the problem is that if we want more insights driven test, we need more data which we are blocked
116 00:12:59.270 ⇒ 00:13:00.140 Amber Lin: 4
117 00:13:00.630 ⇒ 00:13:09.350 Amber Lin: a few weeks now on the Api stuff. So I think that limits Annie’s ability to even do visualizations because there’s not much to draw from.
118 00:13:09.990 ⇒ 00:13:16.680 Uttam Kumaran: Okay, so. But then I guess my question is like, why haven’t we emailed Tim, or escalated this to Steven like
119 00:13:16.930 ⇒ 00:13:20.420 Uttam Kumaran: I can do that. But I’d rather it come from you like if you now
120 00:13:21.030 ⇒ 00:13:25.800 Uttam Kumaran: do you email Steven and Matt and say, Hey, we we’re not. This has been blocked for a few weeks. Now we need help.
121 00:13:27.003 ⇒ 00:13:28.109 Amber Lin: Sounds, good.
122 00:13:28.520 ⇒ 00:13:33.639 Uttam Kumaran: Yeah, and just say, like, just say, exactly like what this is blocking.
123 00:13:37.400 ⇒ 00:13:43.229 Amber Lin: Yeah, cause right now, what’s blocked by is Tim tried to do it, and then 8 by 8
124 00:13:43.400 ⇒ 00:13:47.959 Amber Lin: was having issues. And then we never heard back from him. So I will email.
125 00:13:48.560 ⇒ 00:13:50.309 Amber Lin: I will email them off this.
126 00:13:50.310 ⇒ 00:13:53.830 Uttam Kumaran: Yeah, I just think anything that like is blocking.
127 00:13:54.190 ⇒ 00:13:58.060 Uttam Kumaran: I feel like it should be on you to just sort of like, move it forward, and then.
128 00:13:58.570 ⇒ 00:14:00.579 Uttam Kumaran: Call me in as like last resort.
129 00:14:01.700 ⇒ 00:14:06.839 Uttam Kumaran: Like. It’s clear that we’ve asked like a hundred times they’re not doing anything. So this is where, like I, I would recommend escalating.
130 00:14:06.910 ⇒ 00:14:10.470 Amber Lin: Okay. Awesome. Good to know. What? What is it?
131 00:14:10.470 ⇒ 00:14:16.000 Uttam Kumaran: He, even even if he wants. If they want to just give us access to 8 by 8, we can go figure it out ourselves like.
132 00:14:16.850 ⇒ 00:14:18.229 Uttam Kumaran: Or whoever to talk to.
133 00:14:19.060 ⇒ 00:14:19.800 Amber Lin: Dying
134 00:14:28.090 ⇒ 00:14:29.909 Amber Lin: now we’ll do that.
135 00:14:37.370 ⇒ 00:14:39.650 Amber Lin: Oh, there’s the team! Oh, no!
136 00:14:41.497 ⇒ 00:14:50.279 Amber Lin: Are we going to do the input restrictions here.
137 00:14:52.730 ⇒ 00:14:53.350 Casie Aviles: Hmm.
138 00:14:54.250 ⇒ 00:14:58.419 Casie Aviles: Yeah, I think we can do that, since it’s relatively quick. Yeah.
139 00:14:58.420 ⇒ 00:15:05.120 Amber Lin: Okay. Awesome, I guess. As a tech lead. Would. Would you look at this
140 00:15:05.925 ⇒ 00:15:11.189 Amber Lin: to do and ready for development? Do you think this is a good
141 00:15:12.476 ⇒ 00:15:16.160 Amber Lin: or to have for the sprint cycle?
142 00:15:16.510 ⇒ 00:15:20.200 Amber Lin: Or is that? Is that how the tech lease role is? Gonna be
143 00:15:20.310 ⇒ 00:15:32.920 Amber Lin: like you’re gonna tell me if this is a good amount to do the sprint? Or do you play the role of estimating each ticket? And then I say, Okay, based on these estimates. This is a good amount to have for this sprint.
144 00:15:33.530 ⇒ 00:15:37.079 Uttam Kumaran: Yeah, I mean, I can assist in both for me. The biggest thing I’m looking for is that.
145 00:15:37.080 ⇒ 00:15:37.670 Amber Lin: Hmm.
146 00:15:37.980 ⇒ 00:15:41.400 Uttam Kumaran: The tickets are all pointed, and that there are there is.
147 00:15:41.400 ⇒ 00:15:41.800 Amber Lin: Estimate.
148 00:15:41.800 ⇒ 00:15:46.810 Uttam Kumaran: And that basically, like we as a group during planning.
149 00:15:47.330 ⇒ 00:15:51.070 Uttam Kumaran: we agree as a group, what’s gonna be to sprint.
150 00:15:51.330 ⇒ 00:15:52.030 Amber Lin: I see.
151 00:15:52.030 ⇒ 00:15:55.960 Uttam Kumaran: Right? So looking at it, it’s a lot of stuff on Casey for 2 weeks.
152 00:15:55.960 ⇒ 00:16:00.080 Amber Lin: Yeah, there’s not much on Annie, because we just can’t do anything yet.
153 00:16:01.060 ⇒ 00:16:07.009 Amber Lin: Yeah, so that’s what, probably what I would flag. Is there anything in requirements started that we can like move in.
154 00:16:10.860 ⇒ 00:16:13.059 Uttam Kumaran: Like? What is that? 3, 24.
155 00:16:16.382 ⇒ 00:16:25.700 Amber Lin: This is originally what we’re looking at for the dashboards, I do believe. We have
156 00:16:26.420 ⇒ 00:16:32.069 Amber Lin: so essentially, this is deleting certain sections and reformatting the dashboard to make it prettier.
157 00:16:34.690 ⇒ 00:16:36.910 Amber Lin: Do you want to change that.
158 00:16:36.910 ⇒ 00:16:43.219 Uttam Kumaran: My question to you is like, if if there’s nothing for any to work on like, is there stuff in the backlog to try to work on or no.
159 00:16:43.936 ⇒ 00:16:51.820 Amber Lin: No, that’s that’s pretty much it. Because we’re waiting on data.
160 00:16:53.580 ⇒ 00:16:57.369 Amber Lin: Okay, so I will get that.
161 00:16:57.370 ⇒ 00:17:01.310 Uttam Kumaran: What about this? What about this dream, and evolve one.
162 00:17:04.750 ⇒ 00:17:05.140 Amber Lin: Okay.
163 00:17:05.140 ⇒ 00:17:06.770 Uttam Kumaran: That we we can.
164 00:17:07.010 ⇒ 00:17:10.400 Amber Lin: They want it. I guess we can just also ask for that.
165 00:17:11.050 ⇒ 00:17:16.239 Uttam Kumaran: Well, is this something that you can try to scope with them on, like what they would want to see here.
166 00:17:16.550 ⇒ 00:17:17.220 Amber Lin: Sure.
167 00:17:19.630 ⇒ 00:17:21.730 Uttam Kumaran: This probably would require some meeting to do.
168 00:17:22.109 ⇒ 00:17:31.499 Uttam Kumaran: I don’t know that maybe I feel like the the thing I want to see is like, I want us to get all the historical call log data. And I want to start sort of producing some sort of like
169 00:17:31.719 ⇒ 00:17:36.529 Uttam Kumaran: bi-weekly dashboard about like what this is, you know, like.
170 00:17:38.129 ⇒ 00:17:44.259 Uttam Kumaran: I want to start seeing some bi-weekly insights of like, Hey, we we affected your calls in Xyz way, you know.
171 00:17:44.450 ⇒ 00:17:51.180 Amber Lin: Awesome based on this. Should we get a engineer involved?
172 00:17:51.360 ⇒ 00:17:55.350 Amber Lin: Because there’s a lot of Api stuff, and I don’t think Casey should.
173 00:17:55.350 ⇒ 00:17:55.929 Uttam Kumaran: One small.
174 00:17:55.930 ⇒ 00:17:56.710 Amber Lin: Of that.
175 00:17:57.420 ⇒ 00:17:59.650 Uttam Kumaran: But once the requirements are there, I can help.
176 00:17:59.650 ⇒ 00:18:00.510 Amber Lin: Okay. Great. Okay.
177 00:18:00.510 ⇒ 00:18:05.109 Uttam Kumaran: Like I can help figure out who. But I want to get like all the requirements. First, st because.
178 00:18:05.110 ⇒ 00:18:06.190 Amber Lin: That’d be great.
179 00:18:06.190 ⇒ 00:18:09.169 Uttam Kumaran: Actually think it’s gonna be that bad like it’ll be like away shin.
180 00:18:09.170 ⇒ 00:18:11.090 Uttam Kumaran: Probably just Casey.
181 00:18:11.630 ⇒ 00:18:12.170 Amber Lin: Okay.
182 00:18:12.730 ⇒ 00:18:17.110 Uttam Kumaran: But like I wouldn’t, I wouldn’t assign anything yet. I would just get to all the requirements first.st
183 00:18:19.320 ⇒ 00:18:20.729 Amber Lin: In a lot of that.
184 00:18:25.060 ⇒ 00:18:27.490 Amber Lin: Okay.
185 00:18:31.710 ⇒ 00:18:35.890 Amber Lin: I need to put it there, or else I won’t remember that I need to do that.
186 00:18:39.840 ⇒ 00:18:41.210 Amber Lin: This scope.
187 00:18:46.500 ⇒ 00:18:50.490 Amber Lin: I’ll make a new ticket once we have this both. I’m just gonna assign it to me.
188 00:18:54.243 ⇒ 00:19:04.330 Amber Lin: Don’t think there’s anything else for, but it looks weird.
189 00:19:07.000 ⇒ 00:19:09.559 Amber Lin: Anyways, we’ll we’ll find Doctor.
190 00:19:14.370 ⇒ 00:19:17.730 Amber Lin: I like the way you describe. Everything sounds good.
191 00:19:18.100 ⇒ 00:19:21.760 Amber Lin: We’ll get those 2 as soon as possible, even.
192 00:19:21.990 ⇒ 00:19:31.449 Uttam Kumaran: Yeah, I think the best thing number one. If you just have a few minutes to escalate the 8 by 8 stuff, I would ask them to give us direct access if they can, and then we can sort of move that forward.
193 00:19:32.310 ⇒ 00:19:37.300 Uttam Kumaran: I think otherwise. We’re pretty good like. Look if we don’t have other insights work for now I think that’s fine.
194 00:19:43.890 ⇒ 00:19:44.490 Uttam Kumaran: Yeah.
195 00:19:44.945 ⇒ 00:19:45.240 Amber Lin: Okay.
196 00:19:45.240 ⇒ 00:19:48.759 Uttam Kumaran: I think all this stuff on the AI side. This is all. This is all still pretty valid.
197 00:19:48.950 ⇒ 00:19:49.630 Amber Lin: Yeah.
198 00:19:50.575 ⇒ 00:20:01.490 Amber Lin: great. Let’s add some estimates to the ones that don’t have estimates, and then we can confirm if this is a good load for Casey, or we need to ex, we can expand or we should reduce.
199 00:20:02.050 ⇒ 00:20:10.980 Amber Lin: So this one, essentially the budget is not, is working, but not giving any offers.
200 00:20:11.250 ⇒ 00:20:13.739 Amber Lin: because I I don’t know what happened there.
201 00:20:14.000 ⇒ 00:20:21.910 Amber Lin: and ideally, we wanted to link to either a spreadsheet or Central Doc, but we had.
202 00:20:22.320 ⇒ 00:20:26.770 Uttam Kumaran: Yeah, this one, we should. This is like a super urgent one. This should like, we need to fix this.
203 00:20:27.561 ⇒ 00:20:33.100 Amber Lin: And so how long will this take.
204 00:20:34.940 ⇒ 00:20:39.020 Casie Aviles: I think so to clarify. We just want the
205 00:20:39.420 ⇒ 00:20:44.269 Casie Aviles: the oh, by the way, button to generate, based on a given list that they provide.
206 00:20:44.270 ⇒ 00:20:46.240 Amber Lin: Yes, yes, that’s correct.
207 00:20:46.240 ⇒ 00:20:46.880 Casie Aviles: Okay?
208 00:20:47.503 ⇒ 00:20:50.900 Casie Aviles: Yeah. So do we have the list where we can draw from.
209 00:20:51.178 ⇒ 00:20:57.859 Amber Lin: I do have the list. Let me go pull that up really quickly. I did share it before, but let me go find that.
210 00:20:57.960 ⇒ 00:21:02.319 Amber Lin: But if we, if we have the list, how long would that take.
211 00:21:06.260 ⇒ 00:21:07.669 Casie Aviles: I guess I I give it like.
212 00:21:07.670 ⇒ 00:21:08.040 Amber Lin: Cool.
213 00:21:08.040 ⇒ 00:21:08.560 Amber Lin: I don’t do.
214 00:21:09.080 ⇒ 00:21:10.570 Casie Aviles: So I can test as well.
215 00:21:11.691 ⇒ 00:21:17.300 Amber Lin: Sounds good. I will attach.
216 00:21:17.730 ⇒ 00:21:24.192 Amber Lin: That’s, oh, attach that document.
217 00:21:27.530 ⇒ 00:21:30.550 Amber Lin: Yeah. Yeah.
218 00:21:35.880 ⇒ 00:21:41.440 Amber Lin: So I’m gonna say, 2 points I see right?
219 00:21:41.960 ⇒ 00:21:45.539 Amber Lin: And then next, this will only take.
220 00:21:46.360 ⇒ 00:21:50.136 Amber Lin: This will only take 1 point. I will do that today.
221 00:21:51.040 ⇒ 00:21:55.860 Amber Lin: Congratulations, yeah. And
222 00:22:03.510 ⇒ 00:22:07.800 Amber Lin: Thursday errors. Blah, blah, okay.
223 00:22:12.660 ⇒ 00:22:18.750 Amber Lin: this will probably also take me 2 points for now so scope that
224 00:22:19.020 ⇒ 00:22:35.820 Amber Lin: in 30% capacity for ABC, how is how much is AI team picking up right now?
225 00:22:36.340 ⇒ 00:22:39.159 Amber Lin: Oh, my team is more of a priority. But I just want to know.
226 00:22:39.720 ⇒ 00:22:44.719 Uttam Kumaran: Oh, there’s a lot of work, I mean, I probably, Casey, I would estimate the rest of your time is going there right.
227 00:22:44.720 ⇒ 00:22:46.060 Amber Lin: With him as well.
228 00:22:46.190 ⇒ 00:22:46.790 Casie Aviles: Yeah.
229 00:22:47.680 ⇒ 00:22:53.090 Uttam Kumaran: And off the I mean off the record. We’ll talk. We’ll talk about tomorrow. But yeah, I feel like.
230 00:22:53.090 ⇒ 00:22:53.720 Amber Lin: Jesus.
231 00:22:53.930 ⇒ 00:22:56.569 Uttam Kumaran: Probably between this and that. That’s that’s all the time.
232 00:22:57.350 ⇒ 00:23:04.549 Amber Lin: So do I get 15 h here? Do I get 30 h here.
233 00:23:06.180 ⇒ 00:23:08.990 Uttam Kumaran: It’s a depends on it depends on what you need.
234 00:23:09.220 ⇒ 00:23:13.030 Amber Lin: Okay. Okay, cause we can spread like this can be.
235 00:23:14.080 ⇒ 00:23:24.250 Amber Lin: not this don’t have to go that fast. So I just wanna like we can, but it’s more just where Casey put his time this week.
236 00:23:24.530 ⇒ 00:23:28.700 Uttam Kumaran: Yeah, I think maybe we should. I think we we have. We should talk about that in like a manager’s meeting.
237 00:23:28.700 ⇒ 00:23:29.926 Amber Lin: Okay. Great.
238 00:23:30.540 ⇒ 00:23:33.970 Uttam Kumaran: Like we should, we should. I don’t think we did that. We did it like an allocation meeting.
239 00:23:33.970 ⇒ 00:23:41.150 Amber Lin: No, I I had that plan, but didn’t didn’t happen, so I guess, for now I think.
240 00:23:41.150 ⇒ 00:23:41.960 Uttam Kumaran: This scopes.
241 00:23:42.280 ⇒ 00:23:44.639 Uttam Kumaran: Yeah, I feel like this scope seems pretty fair.
242 00:23:46.310 ⇒ 00:23:49.700 Uttam Kumaran: I think the biggest thing is to unblock the the 8 by itself.
243 00:23:49.700 ⇒ 00:24:03.379 Amber Lin: Yeah, unblock the 8 by 8. I’ll try so that Annie can start working. And then I can figure out the evolvement dream. But that will take a long time. Input restrictions. Just wanted to add a due date on this real quick.
244 00:24:08.580 ⇒ 00:24:11.270 Uttam Kumaran: I think that’s like a really small one.
245 00:24:12.320 ⇒ 00:24:15.689 Casie Aviles: Yeah, I can. I can do it. Yeah, right? Right after this.
246 00:24:15.690 ⇒ 00:24:24.300 Amber Lin: Okay, awesome. So hopefully, by the end of this week, I don’t know if they’ll respond
247 00:24:24.470 ⇒ 00:24:29.110 Amber Lin: or meet, but I think this is should be good.
248 00:24:29.650 ⇒ 00:24:33.670 Amber Lin: So for the oh, by the way, buttons, how long?
249 00:24:34.230 ⇒ 00:24:36.400 Amber Lin: Well, that take.
250 00:24:41.520 ⇒ 00:24:45.160 Casie Aviles: I can have this, I guess, by tomorrow or Wednesday.
251 00:24:45.350 ⇒ 00:24:45.890 Amber Lin: Hmm.
252 00:24:47.700 ⇒ 00:24:51.400 Uttam Kumaran: This is already a 2. This is already a 2 pointer. So what are we asking for?
253 00:24:52.280 ⇒ 00:24:56.540 Amber Lin: Oh, just the list. I just need the list. Do we have that already?
254 00:24:56.540 ⇒ 00:25:01.180 Uttam Kumaran: It’s it’s already like a 2. It’s already a 2 point like we’ve already estimated. So I guess. What’s the question.
255 00:25:01.990 ⇒ 00:25:04.109 Amber Lin: When is this gonna get done by us?
256 00:25:05.900 ⇒ 00:25:10.969 Uttam Kumaran: Oh, okay, but then we should it like, I think, the best way to look at that is to.
257 00:25:11.764 ⇒ 00:25:12.560 Amber Lin: Like.
258 00:25:12.560 ⇒ 00:25:14.159 Uttam Kumaran: Right now it’s June second.
259 00:25:15.110 ⇒ 00:25:17.519 Uttam Kumaran: So I think the
260 00:25:18.160 ⇒ 00:25:24.709 Uttam Kumaran: the goal here should be to just stagger these in a way where they all are, either. They’re they’re assigned on specific days, right?
261 00:25:26.540 ⇒ 00:25:33.420 Uttam Kumaran: So if you look at all these one, a lot of these updates that are like.
262 00:25:33.420 ⇒ 00:25:34.035 Amber Lin: Right.
263 00:25:34.650 ⇒ 00:25:37.790 Uttam Kumaran: Well, I don’t know what those there’s 2 dates. It seems like here.
264 00:25:40.480 ⇒ 00:25:43.419 Uttam Kumaran: Can you filter out the can you turn off the created dates?
265 00:25:44.900 ⇒ 00:25:47.210 Amber Lin: Huh! Where’s the created date?
266 00:25:47.330 ⇒ 00:25:49.739 Amber Lin: Oh, I see. Let me let me check
267 00:25:50.981 ⇒ 00:25:53.089 Amber Lin: created it. Here we go.
268 00:25:54.880 ⇒ 00:25:55.450 Amber Lin: Yeah.
269 00:25:55.450 ⇒ 00:25:57.920 Uttam Kumaran: Okay, and then.
270 00:25:58.540 ⇒ 00:26:03.500 Amber Lin: These are for me. So that one goes today.
271 00:26:03.500 ⇒ 00:26:06.250 Uttam Kumaran: Yeah, I I would say, Oh,
272 00:26:08.390 ⇒ 00:26:10.959 Uttam Kumaran: yeah. So everything on Kc, I would just
273 00:26:11.240 ⇒ 00:26:15.270 Uttam Kumaran: I mean, we know at at Max has to be the end of the 2 weeks right?
274 00:26:16.150 ⇒ 00:26:20.759 Uttam Kumaran: So yeah, I think you can just make sure that these dates. But I I don’t think it’s helpful to go like
275 00:26:21.260 ⇒ 00:26:22.840 Uttam Kumaran: every single, each ticket. Yeah.
276 00:26:22.840 ⇒ 00:26:24.619 Uttam Kumaran: Oh, when like, I think you should just say like.
277 00:26:24.620 ⇒ 00:26:25.260 Amber Lin: Yeah, make sense.
278 00:26:25.260 ⇒ 00:26:31.870 Uttam Kumaran: Is it gonna be Wednesday, Friday, Wednesday, Friday, like, okay, that’s probably that’s probably easiest.
279 00:26:31.870 ⇒ 00:26:34.789 Amber Lin: Let’s just say this one is, for
280 00:26:35.130 ⇒ 00:26:38.859 Amber Lin: it’s Wednesday, cause it, you said it will take 2 points.
281 00:26:39.280 ⇒ 00:26:42.169 Amber Lin: and then maybe this by Friday, Friday.
282 00:26:46.020 ⇒ 00:26:49.070 Amber Lin: It’s another 2 points, and then that will say.
283 00:26:49.240 ⇒ 00:26:53.660 Amber Lin: Oh, oh, never mind. So that’s
284 00:26:53.830 ⇒ 00:26:56.630 Amber Lin: we’ll say, that’s for. And a disciple.
285 00:27:00.240 ⇒ 00:27:06.990 Amber Lin: oh, that’s an email. Okay, we slacked him. That’s we emailed him, right?
286 00:27:08.445 ⇒ 00:27:09.310 Amber Lin: Current.
287 00:27:09.660 ⇒ 00:27:11.270 Amber Lin: And this one.
288 00:27:16.490 ⇒ 00:27:17.330 Amber Lin: yeah.
289 00:27:35.930 ⇒ 00:27:36.770 Amber Lin: okay.
290 00:27:40.850 ⇒ 00:27:44.819 Amber Lin: sounds good. I think this is a pretty decent distribution.
291 00:27:45.080 ⇒ 00:27:50.990 Amber Lin: I will move this to bit later.
292 00:27:56.880 ⇒ 00:27:57.899 Amber Lin: You want us.
293 00:28:00.520 ⇒ 00:28:01.390 Amber Lin: Okay.
294 00:28:09.560 ⇒ 00:28:13.440 Amber Lin: yeah, I think this is good. I think we have a good view of this week.
295 00:28:13.640 ⇒ 00:28:17.160 Amber Lin: and then we’ll groom for next Wednesday.
296 00:28:17.880 ⇒ 00:28:23.369 Uttam Kumaran: I think the biggest thing is like, if we need help from Miguel on certain items, like all those things assigned
297 00:28:23.800 ⇒ 00:28:30.630 Uttam Kumaran: to you. If amber, in case you need to bring in Miguel on any of them. You we can consider that. But.
298 00:28:30.990 ⇒ 00:28:44.010 Amber Lin: Yeah, this one probably need more engineering help, even with scoping. But I’ll gather requirements, and I’ll probably take more than one meeting. I’ll gather some requirements, and then we’ll involve anyone else.
299 00:28:44.390 ⇒ 00:28:44.960 Uttam Kumaran: Okay.
300 00:28:45.260 ⇒ 00:28:45.860 Amber Lin: 8.
301 00:28:46.930 ⇒ 00:28:47.989 Amber Lin: How are you?
302 00:28:50.110 ⇒ 00:28:56.309 Amber Lin: thanks, everyone. What time are you busy? Can we do like the allocators meeting? If you have time sometime today?
303 00:28:56.310 ⇒ 00:28:59.999 Uttam Kumaran: Yeah, yeah, I’m I’m basically the rest of the day.
304 00:29:01.010 ⇒ 00:29:04.019 Amber Lin: Oh, I see you have a AI list builder sync right now.
305 00:29:04.020 ⇒ 00:29:06.529 Uttam Kumaran: This is gonna get that’s gonna get pushed. So.
306 00:29:06.530 ⇒ 00:29:07.300 Amber Lin: Okay.
307 00:29:07.300 ⇒ 00:29:08.220 Uttam Kumaran: I’m free.
308 00:29:08.520 ⇒ 00:29:15.770 Amber Lin: Okay, do you want to break? I can do some. I want to some Casey and Annie. You can hop if you if you need.
309 00:29:17.420 ⇒ 00:29:18.070 Casie Aviles: Okay.
310 00:29:18.190 ⇒ 00:29:19.540 Uttam Kumaran: Thanks. Guys, thank you.
311 00:29:19.540 ⇒ 00:29:20.090 Amber Lin: Guys
312 00:29:21.710 ⇒ 00:29:25.070 Uttam Kumaran: Yeah, I can do. I just have the 2 interviews I can do anytime.
313 00:29:25.355 ⇒ 00:29:25.640 Amber Lin: Today.
314 00:29:25.640 ⇒ 00:29:26.150 Uttam Kumaran: Okay.
315 00:29:26.340 ⇒ 00:29:36.420 Amber Lin: I see. Oh, gosh! I have 2 interviews. I’m meeting with Alex at 6 Pm. Esp. So that’s in 3 3 h.
316 00:29:36.420 ⇒ 00:29:37.090 Uttam Kumaran: Okay.
317 00:29:37.240 ⇒ 00:29:40.760 Amber Lin: Essentially, what I want today is also to look at the pool parts.
318 00:29:41.270 ⇒ 00:29:48.740 Uttam Kumaran: Yeah, I’m about to send the the next proposal for pool parts right now, then, I think they’ll just. They’ll just say, Yes, yeah, literally staring at the email.
319 00:29:49.420 ⇒ 00:29:54.640 Amber Lin: Okay, there. How do you feel about this? I like what Robert said.
320 00:29:54.930 ⇒ 00:29:59.359 Uttam Kumaran: Oh, yeah, I’m gonna I’m just gonna send. I’m not even gonna do anything. I’m sending that literally.
321 00:29:59.670 ⇒ 00:30:00.480 Amber Lin: Okay.
322 00:30:00.820 ⇒ 00:30:01.550 Uttam Kumaran: Yeah.
323 00:30:01.690 ⇒ 00:30:07.869 Amber Lin: Great. So do we need to groom for pool purse? Or do you need any help on making a
324 00:30:08.210 ⇒ 00:30:09.550 Amber Lin: like roadmap?
325 00:30:09.550 ⇒ 00:30:14.380 Uttam Kumaran: No, I I think as I think we’re fine as soon as they as soon as they say they’re
326 00:30:14.590 ⇒ 00:30:15.929 Uttam Kumaran: as soon as they say they’re ready.
327 00:30:15.930 ⇒ 00:30:18.810 Uttam Kumaran: I’m just gonna meet with Miguel
328 00:30:19.040 ⇒ 00:30:21.700 Uttam Kumaran: put together the roadmap, and then
329 00:30:22.730 ⇒ 00:30:27.360 Uttam Kumaran: we’re gonna be good like we. I’m gonna try to meet as little as possible with them, probably.
330 00:30:27.360 ⇒ 00:30:27.990 Amber Lin: Hmm.
331 00:30:28.290 ⇒ 00:30:30.930 Amber Lin: I see great, because there’s also
332 00:30:31.050 ⇒ 00:30:47.359 Amber Lin: like there’s also analysis stuff. And there’s dashboard stuff that technically, we can be doing because we’re on hourly, but because last time we did stuff for them, and then we didn’t get paid for a whole month. I was like, I don’t really think we should do it without them signing anything.
333 00:30:47.360 ⇒ 00:30:53.550 Uttam Kumaran: I agree? No, no, that’s that’s that’s I agree. So I’m gonna send them this. And then, yeah, like.
334 00:30:53.550 ⇒ 00:30:54.190 Amber Lin: Okay.
335 00:30:54.190 ⇒ 00:30:54.650 Amber Lin: Yeah.
336 00:30:57.150 ⇒ 00:31:06.329 Uttam Kumaran: So this should get signed, and then I think everything else is fine, like matter. More to like off the record tomorrow we should be fine, ABC, as long as we just think we really just.
337 00:31:06.330 ⇒ 00:31:06.920 Amber Lin: Grooming.
338 00:31:06.920 ⇒ 00:31:07.810 Uttam Kumaran: Data stuff on.
339 00:31:07.810 ⇒ 00:31:08.230 Amber Lin: Yeah.
340 00:31:08.230 ⇒ 00:31:08.560 Uttam Kumaran: Yeah.
341 00:31:08.560 ⇒ 00:31:16.110 Amber Lin: Yeah, yeah, I feel a lot better about stuff now or when it’s time we got the room. I figured out we’re going good track, like.
342 00:31:16.390 ⇒ 00:31:16.840 Uttam Kumaran: Yeah.
343 00:31:17.175 ⇒ 00:31:23.219 Amber Lin: Pool parts I’ll delete and like we don’t need to do. A grooming today is what I hear
344 00:31:23.940 ⇒ 00:31:28.169 Amber Lin: probably need to meet after like maybe don’t even need to meet. But after.
345 00:31:28.170 ⇒ 00:31:35.840 Uttam Kumaran: I don’t, even I, yeah, I’m honestly like we’ll see if if they end up at 5 K. Then they’re just gonna lose the project management.
346 00:31:36.310 ⇒ 00:31:36.990 Amber Lin: Yeah.
347 00:31:37.130 ⇒ 00:31:37.870 Uttam Kumaran: Like they.
348 00:31:37.870 ⇒ 00:31:40.940 Amber Lin: They don’t really like talking to me. Anyways, it’s fine.
349 00:31:40.940 ⇒ 00:31:43.260 Uttam Kumaran: Yeah. So that’s why I’m like, whatever.
350 00:31:44.650 ⇒ 00:31:48.640 Amber Lin: I’m basically, I’m basically don’t wanna work on anything that’s like, not actually gonna move.
351 00:31:49.010 ⇒ 00:31:50.419 Uttam Kumaran: The needle for them.
352 00:31:53.560 ⇒ 00:31:55.600 Amber Lin: Yeah, that’s great.
353 00:31:57.580 ⇒ 00:32:07.390 Amber Lin: Let’s see, ABC, oh, okay, monthly, allocations here, why don’t
354 00:32:07.500 ⇒ 00:32:14.639 Amber Lin: I wanna, go in, let me, go, get and clockify all the current hours.
355 00:32:15.050 ⇒ 00:32:17.019 Uttam Kumaran: Mustafa has it in sheets right now.
356 00:32:17.020 ⇒ 00:32:18.380 Amber Lin: Oh, what’s.
357 00:32:18.590 ⇒ 00:32:23.529 Uttam Kumaran: So if we go to the Ops AI channel, we we built the automation. So it’s coming into sheets.
358 00:32:23.848 ⇒ 00:32:27.031 Amber Lin: I thought you removed me from that channel this morning.
359 00:32:27.350 ⇒ 00:32:28.630 Uttam Kumaran: Oh, I probably did.
360 00:32:28.860 ⇒ 00:32:30.190 Amber Lin: Yes.
361 00:32:30.190 ⇒ 00:32:34.330 Uttam Kumaran: Okay, well, you could. Well, you could join back. I just, I just pick people
362 00:32:34.330 ⇒ 00:32:36.739 Uttam Kumaran: lot of stuff that I don’t want them to be distracted by.
363 00:32:36.740 ⇒ 00:32:39.260 Amber Lin: I know I know I already don’t look.
364 00:32:39.260 ⇒ 00:32:42.610 Uttam Kumaran: And you’ll join you. Join back. It’s fine. I’m not like. It’s like cool.
365 00:32:42.610 ⇒ 00:32:43.620 Amber Lin: I just like kicked you.
366 00:32:43.620 ⇒ 00:32:46.760 Uttam Kumaran: Out what I’m like. I can be annoying. So.
367 00:32:46.760 ⇒ 00:32:53.201 Amber Lin: Okay, I I actually love that. I needed that so bad, because navigating and clockify is disgusting.
368 00:32:53.580 ⇒ 00:32:56.700 Uttam Kumaran: Yeah. And so the next thing, yeah, the AI team is like, we’re
369 00:32:57.040 ⇒ 00:33:04.249 Uttam Kumaran: so much stuff is about to happen this cycle. So the next thing we’ll work on is we’re gonna move that to operating.
370 00:33:04.610 ⇒ 00:33:05.700 Amber Lin: Hmm!
371 00:33:05.700 ⇒ 00:33:07.110 Amber Lin: So that’s that’s.
372 00:33:07.110 ⇒ 00:33:15.250 Uttam Kumaran: Those are the requirements I need when we meet is like, basically, how we’re gonna
373 00:33:15.440 ⇒ 00:33:18.910 Uttam Kumaran: how we want operating set up. And then I’m gonna have Mustafa write the automation.
374 00:33:19.810 ⇒ 00:33:27.310 Amber Lin: Hmm, okay, what do you mean as in how does it? How is it set up.
375 00:33:29.620 ⇒ 00:33:30.150 Uttam Kumaran: Like.
376 00:33:30.150 ⇒ 00:33:32.229 Amber Lin: Like per team, or say.
377 00:33:32.230 ⇒ 00:33:36.410 Uttam Kumaran: Well, I just want to look at what manually we have to do that we want him to automate.
378 00:33:36.770 ⇒ 00:33:38.460 Amber Lin: Oh, okay.
379 00:33:38.460 ⇒ 00:33:39.829 Uttam Kumaran: Like we had to automate.
380 00:33:39.830 ⇒ 00:33:42.060 Amber Lin: Where is the uploading of data?
381 00:33:42.610 ⇒ 00:33:45.069 Uttam Kumaran: So yeah, that one, I’m just gonna fix. Yeah.
382 00:33:45.070 ⇒ 00:33:45.730 Amber Lin: Hmm.
383 00:33:45.730 ⇒ 00:33:47.659 Uttam Kumaran: Well, but I want to have it run every day.
384 00:33:51.180 ⇒ 00:33:53.119 Amber Lin: what is more? From that?
385 00:33:53.915 ⇒ 00:34:08.389 Amber Lin: I think if if we can upload it and it, all goes into the right project for the right people we already have operating. Yeah, every day. Then we already have operating set up like we know what views we want to go to. I think that’s it.
386 00:34:08.739 ⇒ 00:34:11.659 Uttam Kumaran: Okay, that’s good, though. Yeah, I just wanted to confirm.
387 00:34:11.659 ⇒ 00:34:12.289 Amber Lin: Hmm!
388 00:34:16.299 ⇒ 00:34:17.709 Amber Lin: Time entries.
389 00:34:19.269 ⇒ 00:34:23.789 Amber Lin: How do I navigate this spreadsheet? This is is this per day.
390 00:34:24.750 ⇒ 00:34:25.309 Uttam Kumaran: This is pretty.
391 00:34:25.310 ⇒ 00:34:25.940 Amber Lin: Day.
392 00:34:26.530 ⇒ 00:34:28.709 Uttam Kumaran: It’s just a raw spreadsheet. So.
393 00:34:29.210 ⇒ 00:34:31.899 Uttam Kumaran: But he’s gonna be. He’s I think he’s still working on it right now.
394 00:34:31.900 ⇒ 00:34:34.609 Amber Lin: I know, I know. Okay, so I will.
395 00:34:35.179 ⇒ 00:34:38.540 Amber Lin: for today I will still go. Look at
396 00:34:41.060 ⇒ 00:34:46.110 Amber Lin: look at Clockify. Get those hours, and then.
397 00:34:47.100 ⇒ 00:34:50.839 Uttam Kumaran: Yeah, I think ideally, I want to have a manager’s meeting where we’re talking about.
398 00:34:51.040 ⇒ 00:34:51.420 Amber Lin: Unusual.
399 00:34:51.429 ⇒ 00:34:53.589 Uttam Kumaran: Project we I want to talk about.
400 00:34:53.819 ⇒ 00:35:03.499 Uttam Kumaran: Now that we have the budgets done, I want to talk about how much time we should be spending. Look at how much time we did spend last month, and then also take a look at the profitability.
401 00:35:04.480 ⇒ 00:35:05.400 Amber Lin: Awesome.
402 00:35:06.680 ⇒ 00:35:11.279 Amber Lin: And that meeting will also, I assume from that we’ll know the allocations.
403 00:35:13.310 ⇒ 00:35:14.300 Amber Lin: Right? Okay.
404 00:35:15.858 ⇒ 00:35:18.950 Amber Lin: I think a wish is
405 00:35:19.110 ⇒ 00:35:22.859 Amber Lin: available right now, do you wanna just grab him.
406 00:35:23.030 ⇒ 00:35:26.169 Uttam Kumaran: Can we do in 20 min? I just want to finish. Get this thing out?
407 00:35:26.170 ⇒ 00:35:33.479 Uttam Kumaran: Oh, sure, yeah, I’m free until 6 pm. Est. As long as you and oasis available I’m down.
408 00:35:33.760 ⇒ 00:35:37.688 Uttam Kumaran: Okay, let me let me send it. Let me book it, and I’ll yeah.
409 00:35:38.640 ⇒ 00:35:39.710 Amber Lin: Sounds good.
410 00:35:40.240 ⇒ 00:35:41.340 Uttam Kumaran: Okay. Thank you.
411 00:35:41.340 ⇒ 00:35:43.730 Amber Lin: Alright! Talk to you soon, bye.