Meeting Title: ABC Standup Date: 2025-08-04 Meeting participants: Mustafa Raja, Casie Aviles, Vashdev Heerani, Amber Lin, Awaish Kumar, Annie Yu
WEBVTT
1 00:00:20.010 ⇒ 00:00:25.820 Amber Lin: Hello back onto linear.
2 00:00:26.110 ⇒ 00:00:26.900 Amber Lin: Okay.
3 00:00:35.710 ⇒ 00:00:39.490 Amber Lin: real quick on the ABC side.
4 00:00:40.417 ⇒ 00:00:43.280 Amber Lin: Any progress on this one, Rashad?
5 00:00:53.270 ⇒ 00:00:55.789 Amber Lin: Oh, well, Step, you’re muted. If you’re talking.
6 00:00:55.790 ⇒ 00:00:59.190 Vashdev Heerani: And Nope, I haven’t started that yet.
7 00:01:02.195 ⇒ 00:01:08.360 Amber Lin: Anything that’s blocking you on that? Can I get some help for you to get you started.
8 00:01:10.820 ⇒ 00:01:18.709 Vashdev Heerani: So I needed a repo access. I think so. I got this this morning.
9 00:01:19.000 ⇒ 00:01:22.539 Vashdev Heerani: and so I will start this. After that.
10 00:01:22.960 ⇒ 00:01:24.369 Amber Lin: Okay. Sounds good.
11 00:01:26.710 ⇒ 00:01:28.050 Amber Lin: Alright
12 00:01:38.012 ⇒ 00:01:45.069 Amber Lin: Casey, would you mind sharing this or screenshots of when you tested it? When you tested Andy to
13 00:01:45.360 ⇒ 00:01:48.690 Amber Lin: to the chat using our Brainforge email.
14 00:01:50.260 ⇒ 00:01:54.010 Casie Aviles: Yeah, sure. Wait. Where do I send the screenshots again?
15 00:01:55.060 ⇒ 00:02:02.289 Amber Lin: So so our ABC email, the feedback loop where you sent messages before.
16 00:02:02.780 ⇒ 00:02:04.189 Casie Aviles: Oh, okay. Okay. Sure.
17 00:02:04.190 ⇒ 00:02:04.760 Amber Lin: Yeah.
18 00:02:06.490 ⇒ 00:02:08.340 Amber Lin: I’ll copy the link here.
19 00:02:08.340 ⇒ 00:02:09.000 Casie Aviles: Okay.
20 00:02:13.290 ⇒ 00:02:18.890 Amber Lin: Yeah, just just show them what you found, and share a screenshot, and that should be good.
21 00:02:22.390 ⇒ 00:02:31.010 Amber Lin: And let’s check countable feedback sheet and routing were we able to do automations on this.
22 00:02:31.886 ⇒ 00:02:39.440 Casie Aviles: Yes, I have the automation, although I’m just getting some bugs right now with yeah, like
23 00:02:39.560 ⇒ 00:02:44.219 Casie Aviles: when when we when we click the thumbs up or thumbs down.
24 00:02:45.885 ⇒ 00:02:49.439 Casie Aviles: Sometimes the names are the input are not coming in.
25 00:02:49.790 ⇒ 00:02:53.659 Amber Lin: So I’ll try to resolve that also. Today.
26 00:02:54.130 ⇒ 00:02:55.970 Amber Lin: Okay, sounds good.
27 00:03:05.490 ⇒ 00:03:06.960 Amber Lin: Don’t put that.
28 00:03:08.110 ⇒ 00:03:11.400 Casie Aviles: Oh, you you okay, this will be a split ticket. Then.
29 00:03:12.230 ⇒ 00:03:18.600 Amber Lin: Yeah, just so that just so that we can remember, it’s it’s just hard to remember all this stuff going on.
30 00:03:19.240 ⇒ 00:03:19.930 Casie Aviles: Okay.
31 00:03:20.460 ⇒ 00:03:21.010 Amber Lin: Yeah.
32 00:03:21.550 ⇒ 00:03:29.720 Amber Lin: And anything on this when it returns. The exact words of the central dock.
33 00:03:34.177 ⇒ 00:03:35.100 Casie Aviles: Thank you. Guys.
34 00:03:35.100 ⇒ 00:03:38.490 Amber Lin: The base and then instructing system problem.
35 00:03:38.740 ⇒ 00:03:43.150 Casie Aviles: No, no, we we haven’t. I haven’t started this part.
36 00:03:43.380 ⇒ 00:03:49.759 Amber Lin: Okay, I’ll just bring it to your attention. And I know you guys will get to it. I think that’s
37 00:03:50.170 ⇒ 00:03:52.010 Amber Lin: that should be everything on ABC.
38 00:03:53.540 ⇒ 00:03:54.590 Amber Lin: I guess
39 00:03:54.710 ⇒ 00:04:02.899 Amber Lin: Casey and Mustafa, do you have anything else here? If not, we can. You you 2 can hop off, and I’ll talk with. I’ll talk about data platform stuff.
40 00:04:06.071 ⇒ 00:04:08.640 Casie Aviles: For me. Oh, okay, yeah, go ahead. So.
41 00:04:08.660 ⇒ 00:04:12.729 Mustafa Raja: 6 0 6 I believe, is done.
42 00:04:13.930 ⇒ 00:04:20.370 Amber Lin: Hmm, okay, sounds good. I I think I will try to add names to the can. We.
43 00:04:20.370 ⇒ 00:04:21.320 Mustafa Raja: Yeah, yeah.
44 00:04:21.329 ⇒ 00:04:27.659 Amber Lin: And names to them. It’s really hard, because I don’t know whose email that is because I it only has their last name.
45 00:04:28.140 ⇒ 00:04:29.010 Mustafa Raja: Which one.
46 00:04:30.292 ⇒ 00:04:38.680 Amber Lin: This spreadsheet here like I I don’t really know who they are.
47 00:04:39.310 ⇒ 00:04:40.670 Mustafa Raja: Is there.
48 00:04:40.670 ⇒ 00:04:43.090 Amber Lin: Any way that we could add names like for.
49 00:04:43.090 ⇒ 00:04:49.759 Mustafa Raja: Yeah, yeah, we can, because we can add whatever columns we want. I’ll just filter.
50 00:04:50.350 ⇒ 00:04:50.690 Amber Lin: Okay.
51 00:04:50.690 ⇒ 00:04:57.749 Mustafa Raja: Send it to the email and department. So let me know if I should add any awesome add.
52 00:04:57.910 ⇒ 00:05:06.950 Amber Lin: Name best, if full name, if not just, it’s fine.
53 00:05:08.050 ⇒ 00:05:12.940 Mustafa Raja: Yeah, yeah, that’s deadline also. So
54 00:05:13.120 ⇒ 00:05:16.070 Mustafa Raja: it helps me keep a business schedule.
55 00:05:16.720 ⇒ 00:05:17.660 Amber Lin: I’m sorry.
56 00:05:18.600 ⇒ 00:05:23.719 Mustafa Raja: Yeah, the deadline is there? Sorry. I thought we didn’t had had any red line for this one.
57 00:05:27.690 ⇒ 00:05:35.200 Amber Lin: I don’t think these are urgent. I’ll say I’ll say Thursday.
58 00:05:37.300 ⇒ 00:05:37.830 Mustafa Raja: Yep.
59 00:05:38.600 ⇒ 00:05:39.709 Amber Lin: Yeah. Okay.
60 00:05:44.890 ⇒ 00:05:51.900 Amber Lin: Also. Thursday, all right. I think that’s all for ABC, I just
61 00:05:51.900 ⇒ 00:05:55.130 Amber Lin: if there’s nothing else. Yeah, what about it?
62 00:05:55.520 ⇒ 00:06:04.359 Casie Aviles: I just have like one question regarding. So I’ve been monitoring some of the feedbacks that we’ve been receiving. So there’s
63 00:06:05.234 ⇒ 00:06:10.119 Casie Aviles: like an influx in some inspector sheet errors so.
64 00:06:11.060 ⇒ 00:06:11.780 Amber Lin: Oh, cool!
65 00:06:12.340 ⇒ 00:06:19.470 Casie Aviles: Okay, yeah, so do, do we ticket this out as well. And also investigate and fix them.
66 00:06:24.266 ⇒ 00:06:27.669 Amber Lin: Could you grab them and put them.
67 00:06:27.670 ⇒ 00:06:28.150 Casie Aviles: Yes, yes.
68 00:06:28.920 ⇒ 00:06:29.650 Amber Lin: Okay.
69 00:06:29.650 ⇒ 00:06:30.659 Casie Aviles: I can do that.
70 00:06:30.660 ⇒ 00:06:39.899 Amber Lin: I’ll see which one is our fault, and which one is their fault, because we still need to update it and send it, like some. Some of the sheets probably needs updating.
71 00:06:40.870 ⇒ 00:06:41.390 Amber Lin: Yeah.
72 00:06:41.390 ⇒ 00:06:42.060 Casie Aviles: Okay.
73 00:06:45.360 ⇒ 00:06:47.249 Amber Lin: Sounds good. Thank you for bringing that up.
74 00:06:47.810 ⇒ 00:06:48.580 Casie Aviles: Sure, sure.
75 00:06:49.140 ⇒ 00:06:57.829 Amber Lin: Yeah, okay, that’s all for ABC, I’m gonna go to data platform. And Casey Mustafa feel free to hop.
76 00:06:58.870 ⇒ 00:06:59.400 Mustafa Raja: Okay.
77 00:06:59.400 ⇒ 00:07:00.260 Casie Aviles: Thank you. Guys.
78 00:07:00.510 ⇒ 00:07:01.580 Amber Lin: Thank you, too.
79 00:07:02.695 ⇒ 00:07:04.690 Amber Lin: Let’s look at
80 00:07:12.600 ⇒ 00:07:17.729 Amber Lin: Can I close these 2? Are they? Have they been reviewed?
81 00:07:18.190 ⇒ 00:07:20.300 Amber Lin: Oh, sorry. Not that one. This one.
82 00:07:20.680 ⇒ 00:07:22.379 Awaish Kumar: I think it is done. I.
83 00:07:23.860 ⇒ 00:07:24.630 Amber Lin: Okay,
84 00:07:31.000 ⇒ 00:07:35.389 Amber Lin: So we’ve got the next steps from Uton.
85 00:07:36.040 ⇒ 00:07:54.250 Amber Lin: We have some time from Annie, probably like 5 HA week to help with the dashboards. If not, we can ask someone else to help build real dashboards. There’s a wish. What are we? What are we missing here? What are our next steps.
86 00:07:57.240 ⇒ 00:08:00.100 Awaish Kumar: I pulled few tickets in progress. I can’t see.
87 00:08:00.100 ⇒ 00:08:06.229 Amber Lin: Well, oh, I I think they’re just not in this project. Let me go move them.
88 00:08:06.790 ⇒ 00:08:09.730 Amber Lin: Yeah, that’s all. That’s why they weren’t there.
89 00:08:13.420 ⇒ 00:08:19.239 Awaish Kumar: So all 3 of them, and one to 2 should be done in this weekend.
90 00:08:21.085 ⇒ 00:08:22.010 Amber Lin: So.
91 00:08:24.050 ⇒ 00:08:26.229 Awaish Kumar: 54, you know, like.
92 00:08:26.230 ⇒ 00:08:26.920 Amber Lin: Forward!
93 00:08:26.920 ⇒ 00:08:31.580 Awaish Kumar: Is more like building an outline from Utam’s requirements
94 00:08:32.490 ⇒ 00:08:36.099 Awaish Kumar: has shared things like it would be like
95 00:08:36.470 ⇒ 00:08:42.330 Awaish Kumar: the baseline, and like it should be built on top of that, like what exact charts and.
96 00:08:42.919 ⇒ 00:08:44.919 Amber Lin: Yeah. Matrix should be there.
97 00:08:45.720 ⇒ 00:08:47.630 Amber Lin: He did share.
98 00:08:50.600 ⇒ 00:08:53.299 Amber Lin: He did share this stuff.
99 00:08:54.120 ⇒ 00:08:56.780 Amber Lin: Think? No, but not that one.
100 00:08:58.750 ⇒ 00:09:05.219 Amber Lin: Also. Not that one sorry? I asked him a while back. Is this, he had these 2 dogs.
101 00:09:12.470 ⇒ 00:09:15.320 Awaish Kumar: Okay, turn off.
102 00:09:16.250 ⇒ 00:09:21.430 Amber Lin: I can help generate, I can help generate. Based on what he had asked.
103 00:09:23.380 ⇒ 00:09:28.570 Awaish Kumar: Yeah, this is the text is what we need and based on that we need to
104 00:09:29.910 ⇒ 00:09:32.639 Awaish Kumar: in the in the chat, right? He shared
105 00:09:33.050 ⇒ 00:09:35.109 Awaish Kumar: on the high level, whatever he needs.
106 00:09:35.940 ⇒ 00:09:41.570 Awaish Kumar: And in the screenshot, basically, this is, I don’t know. This is more like.
107 00:09:51.080 ⇒ 00:09:57.369 Awaish Kumar: But based on his rough ideas. We need to generate a final document.
108 00:09:58.300 ⇒ 00:10:02.610 Amber Lin: Yeah, did I take that? Should Vashta take that.
109 00:10:02.980 ⇒ 00:10:08.910 Awaish Kumar: It’s assigned to us himself. I I think.
110 00:10:10.160 ⇒ 00:10:10.800 Amber Lin: Oh,
111 00:10:14.900 ⇒ 00:10:17.290 Awaish Kumar: Yeah, we can assign it to Ashley, Evan.
112 00:10:17.290 ⇒ 00:10:18.820 Amber Lin: 10 days ago, though. Okay.
113 00:10:18.820 ⇒ 00:10:19.340 Awaish Kumar: You know.
114 00:10:20.460 ⇒ 00:10:21.330 Amber Lin: Valid.
115 00:10:22.410 ⇒ 00:10:30.390 Amber Lin: Okay. Got the requirements from him. Sorry which one you said. We can close this one.
116 00:10:30.860 ⇒ 00:10:34.589 Awaish Kumar: No, I say like for deep 94.
117 00:10:34.730 ⇒ 00:10:40.480 Awaish Kumar: If you have got the requirements from Autum and the the links we have already shared in the
118 00:10:40.760 ⇒ 00:10:43.969 Awaish Kumar: ticket, like the Dp. 54.
119 00:10:44.170 ⇒ 00:10:48.280 Awaish Kumar: Based on that Vashtiev can build an ocean dock
120 00:10:48.610 ⇒ 00:10:51.970 Awaish Kumar: specifying the metrics and the charts needed
121 00:10:52.110 ⇒ 00:10:58.869 Awaish Kumar: to measure the performance to build a performance dashboard for clients. And in the meantime,
122 00:11:01.715 ⇒ 00:11:05.519 Awaish Kumar: and you can work on that idea. Linear.
123 00:11:06.730 ⇒ 00:11:11.789 Awaish Kumar: This one, and 1, 1, 9 and 1 1 3 are basically
124 00:11:12.740 ⇒ 00:11:16.210 Awaish Kumar: the ask which I already discussed with the.
125 00:11:16.480 ⇒ 00:11:16.990 Amber Lin: Oh!
126 00:11:16.990 ⇒ 00:11:18.050 Awaish Kumar: Gosh! They’ve like.
127 00:11:18.310 ⇒ 00:11:19.000 Amber Lin: Okay.
128 00:11:19.000 ⇒ 00:11:25.620 Awaish Kumar: These. These are like simple ask, and both of them should take not, should not take more than like
129 00:11:25.920 ⇒ 00:11:27.190 Awaish Kumar: 2, 3 h.
130 00:11:27.560 ⇒ 00:11:36.119 Amber Lin: Okay, yeah. Sounds good. Question, is there other data available for Eda? Now that we pass the other ones.
131 00:11:36.420 ⇒ 00:11:43.479 Awaish Kumar: Yes, like, for we, we have all the data needed, like Rockefile, linear and the operating
132 00:11:43.640 ⇒ 00:11:50.170 Awaish Kumar: and all all of that is available in Snowflake. And now I also
133 00:11:50.770 ⇒ 00:11:54.540 Awaish Kumar: establish the connection with real data in cloud.
134 00:11:54.760 ⇒ 00:12:00.079 Awaish Kumar: So and you can look at that as well. And also I have shared the
135 00:12:01.114 ⇒ 00:12:07.780 Awaish Kumar: environment variable. So you can also use that in your local machine for development.
136 00:12:08.510 ⇒ 00:12:15.650 Amber Lin: Okay. Sounds good. Is the eda blocking anything for us?
137 00:12:17.240 ⇒ 00:12:17.860 Awaish Kumar: No.
138 00:12:18.670 ⇒ 00:12:24.890 Amber Lin: Okay, I’m gonna put it at Wednesday.
139 00:12:25.380 ⇒ 00:12:25.900 Awaish Kumar: Yeah.
140 00:12:26.100 ⇒ 00:12:30.250 Amber Lin: How long would Edas take for for this? Do you estimate.
141 00:12:34.210 ⇒ 00:12:37.330 Awaish Kumar: I don’t know. Like maybe 2, 3 h each.
142 00:12:37.330 ⇒ 00:12:46.670 Amber Lin: Okay? So I will say 1 1 point for each of them. Okay, sounds good. Rush for
143 00:12:46.870 ⇒ 00:12:51.599 Amber Lin: task. When do we want that by for internal review.
144 00:12:51.890 ⇒ 00:12:52.960 Amber Lin: Wednesday.
145 00:12:52.960 ⇒ 00:12:54.370 Awaish Kumar: Manage to yeah.
146 00:12:54.370 ⇒ 00:12:55.310 Amber Lin: Okay. Wednesday.
147 00:12:56.730 ⇒ 00:12:59.610 Awaish Kumar: This one? Where’s the other 2 can be by tomorrow.
148 00:13:00.200 ⇒ 00:13:04.690 Amber Lin: Okay, confirm tomorrow. Okay?
149 00:13:04.960 ⇒ 00:13:05.940 Amber Lin: Sounds good.
150 00:13:07.920 ⇒ 00:13:10.270 Amber Lin: Yeah. I think that’s all on the data platform stuff.
151 00:13:10.760 ⇒ 00:13:11.390 Awaish Kumar: Okay.
152 00:13:12.290 ⇒ 00:13:13.449 Amber Lin: Thank you. Both.
153 00:13:15.230 ⇒ 00:13:15.990 Awaish Kumar: Thank you.
154 00:13:16.500 ⇒ 00:13:18.130 Amber Lin: Alrighty bye!
155 00:13:18.380 ⇒ 00:13:19.560 Amber Lin: Oh, hi, Annie!
156 00:13:22.720 ⇒ 00:13:25.110 Annie Yu: Hey? Sorry. I just saw the I just.
157 00:13:25.110 ⇒ 00:13:53.820 Amber Lin: No, it’s okay. It’s okay. I accidentally deleted you from the invite. And then I invited you again. So I was like, Oh, and it’s not gonna see this? I think on nothing on ABC, just on here, Eda, I asked. If it’s blocking anything. It’s not so we said Wednesday. I think the linear data is mostly done right, and then everything should be available in
158 00:13:56.420 ⇒ 00:13:57.630 Annie Yu: In Rio.
159 00:13:57.630 ⇒ 00:14:01.969 Amber Lin: And yeah. And then, which also says something else was also.
160 00:14:02.090 ⇒ 00:14:13.640 Amber Lin: you should be able to do what you need from like should be able to do what you need. And then, we said that they’re probably gonna take 2 h or less each.
161 00:14:14.340 ⇒ 00:14:18.460 Amber Lin: but you should have both of that.
162 00:14:19.966 ⇒ 00:14:24.930 Annie Yu: Okay. Wait 2 h for each, for for what? For?
163 00:14:24.930 ⇒ 00:14:28.109 Amber Lin: Data and then for clockify data.
164 00:14:30.740 ⇒ 00:14:40.910 Annie Yu: Okay? So just so, mainly to understand what data is like from each source in your upgrading and clock. Okay.
165 00:14:42.410 ⇒ 00:14:46.479 Annie Yu: And they are all in, is it? Do you know if it’s Snowflake, or a real.
166 00:14:46.480 ⇒ 00:14:49.730 Amber Lin: Snowflake snowflake, and then it’s connected to real.
167 00:14:51.450 ⇒ 00:14:52.230 Annie Yu: Okay.
168 00:14:52.420 ⇒ 00:14:53.200 Annie Yu: Okay.
169 00:14:53.750 ⇒ 00:14:54.959 Amber Lin: Yeah, all right.
170 00:14:55.950 ⇒ 00:14:56.700 Amber Lin: Yeah, thank you.
171 00:14:56.700 ⇒ 00:14:58.250 Annie Yu: Bye.
172 00:14:58.790 ⇒ 00:14:59.889 Amber Lin: Okay? Bye.