Meeting Title: ABC Standup Date: 2025-07-01 Meeting participants: Luke Daque, Mustafa Raja, Casie Aviles, Amber Lin
WEBVTT
1 00:00:35.100 ⇒ 00:00:36.340 Amber Lin: Hi! There!
2 00:00:36.640 ⇒ 00:00:37.260 Mustafa Raja: Hey!
3 00:00:39.580 ⇒ 00:00:41.820 Amber Lin: I’ll share my screen and then
4 00:00:41.980 ⇒ 00:00:44.350 Amber Lin: think today’s stand up will be pretty quick.
5 00:00:46.945 ⇒ 00:00:48.210 Amber Lin: Alright.
6 00:00:53.520 ⇒ 00:01:01.029 Amber Lin: Oh, wow! That’s so fast. Do you need me to test this, or do you? Do you need anyone to do the Pr review? Mustafa.
7 00:01:03.650 ⇒ 00:01:08.910 Mustafa Raja: Yeah, tested only, but they there wasn’t a pr, because this this was an antenna.
8 00:01:09.140 ⇒ 00:01:10.110 Amber Lin: Okay.
9 00:01:10.240 ⇒ 00:01:12.129 Mustafa Raja: So only testing would be good.
10 00:01:13.596 ⇒ 00:01:17.190 Mustafa Raja: I added 2 columns for this in the sheet for feedback.
11 00:01:17.190 ⇒ 00:01:17.700 Amber Lin: Hmm.
12 00:01:18.270 ⇒ 00:01:24.753 Mustafa Raja: So one way be a checkbox that you can toggle so on every toggle it would
13 00:01:25.780 ⇒ 00:01:28.549 Mustafa Raja: go ahead and fetch the response from Andy.
14 00:01:30.640 ⇒ 00:01:31.620 Mustafa Raja: So, okay.
15 00:01:32.110 ⇒ 00:01:40.379 Amber Lin: Awesome. If you want Mike, can you just type in something really short or just record a very short loom? So I can know what I,
16 00:01:40.480 ⇒ 00:01:42.609 Amber Lin: what I should go ahead and test.
17 00:01:42.770 ⇒ 00:01:44.739 Mustafa Raja: Yeah, yeah, I hear you.
18 00:01:44.740 ⇒ 00:01:46.059 Mustafa Raja: Yes, I can do a room.
19 00:01:46.640 ⇒ 00:01:50.900 Amber Lin: Okay, awesome. These.
20 00:01:51.540 ⇒ 00:02:01.110 Amber Lin: Yeah, Casey, we’re meeting with Utam later today. So we’ll check with him if we if there’s any data validation stuff that we need help on, and then
21 00:02:01.902 ⇒ 00:02:04.929 Amber Lin: we can go ahead and add it to an end.
22 00:02:05.310 ⇒ 00:02:05.970 Casie Aviles: Okay.
23 00:02:06.460 ⇒ 00:02:07.380 Amber Lin: Count.
24 00:02:07.610 ⇒ 00:02:13.350 Casie Aviles: For the Central Dock tickets that we we have here. Am I good to start with?
25 00:02:14.690 ⇒ 00:02:16.860 Casie Aviles: Yeah, with any of these tickets.
26 00:02:16.860 ⇒ 00:02:20.345 Amber Lin: Yes, let me here.
27 00:02:22.360 ⇒ 00:02:33.900 Amber Lin: what was this? Okay, I was just working on this yesterday, and I think I have a bit more clearly defined. I think this is something sorry. Let me.
28 00:02:34.390 ⇒ 00:02:39.779 Amber Lin: I think this is something we can start with. Let me share my whole screen.
29 00:02:42.630 ⇒ 00:02:53.410 Amber Lin: actually, before that, let me quickly ask Luke on his tickets. Cause and then, Casey, you and I can probably stay over and talk about this together?
30 00:02:54.037 ⇒ 00:03:04.100 Amber Lin: Luke, how is? How are these 2? Do you need a wish to give you any more information, or are they good.
31 00:03:10.980 ⇒ 00:03:13.089 Luke Daque: Hello! Can you hear me now?
32 00:03:13.460 ⇒ 00:03:14.160 Amber Lin: I can hear you.
33 00:03:14.900 ⇒ 00:03:20.599 Luke Daque: But yeah, I’m still in the process of exploring the 8 by 8 data. It’s actually not as
34 00:03:21.070 ⇒ 00:03:25.439 Luke Daque: easy as I thought it would be. It’s like, there’s a lot of reports in there.
35 00:03:25.965 ⇒ 00:03:29.210 Luke Daque: Yeah, just and trying to figure out which
36 00:03:29.530 ⇒ 00:03:35.229 Luke Daque: report we need for the fields that are in the Google Sheet is quite tedious. So I’m.
37 00:03:35.630 ⇒ 00:03:37.070 Amber Lin: Trying to create a
38 00:03:38.692 ⇒ 00:03:47.850 Luke Daque: A Google sheet with all the reports and all the fields for each available report. And maybe once we once I complete that we can.
39 00:03:48.260 ⇒ 00:03:50.190 Luke Daque: Okay, okay.
40 00:03:50.270 ⇒ 00:03:51.490 Amber Lin: Sounds good.
41 00:03:51.490 ⇒ 00:03:57.440 Luke Daque: Data to rail the second ticket. That’s what I’m currently doing right now. So that’s.
42 00:03:57.440 ⇒ 00:03:58.170 Amber Lin: Okay.
43 00:03:58.170 ⇒ 00:03:59.830 Luke Daque: In progress, because.
44 00:03:59.830 ⇒ 00:04:00.610 Amber Lin: Awesome.
45 00:04:00.860 ⇒ 00:04:06.660 Luke Daque: That’s also going to help in the data platform
46 00:04:07.482 ⇒ 00:04:10.560 Luke Daque: tickets that I have from so we can.
47 00:04:10.560 ⇒ 00:04:12.509 Amber Lin: That is, that is great.
48 00:04:12.510 ⇒ 00:04:13.120 Luke Daque: So, yeah.
49 00:04:13.441 ⇒ 00:04:34.639 Amber Lin: I was thinking, once we connect S. 3 to fill. Could you help us check? Why, it doesn’t have data since June 23.rd I don’t know if it’s updated yet. I was checking yesterday, and there wasn’t any updated data. I think once you I think you know now how to connect S. 3 to fill. Would you be able to check that for me?
50 00:04:36.964 ⇒ 00:04:44.190 Luke Daque: Sure I can. Yeah, I haven’t set up my rail in ABC home yet. But yeah, I can do that much.
51 00:04:44.410 ⇒ 00:04:46.150 Amber Lin: Okay, okay, sounds good.
52 00:04:46.981 ⇒ 00:04:52.889 Amber Lin: I’m not meeting with them this week. So as long as we have it by the end of week
53 00:04:53.381 ⇒ 00:04:58.200 Amber Lin: that should be good, so that should probably give you more time to look over them.
54 00:04:59.210 ⇒ 00:05:00.360 Luke Daque: Sounds.
55 00:05:00.970 ⇒ 00:05:01.730 Amber Lin: Okay.
56 00:05:02.070 ⇒ 00:05:17.010 Amber Lin: awesome. You have this one to work on. So you’re good. I’ll stay over. I’ll stay behind with Casey, and then I’ll talk about the Central Dock tickets. Thank you all for coming to the stand up.
57 00:05:17.370 ⇒ 00:05:18.840 Mustafa Raja: Okay. Okay. Okay.
58 00:05:19.190 ⇒ 00:05:20.600 Amber Lin: All right, bye
59 00:05:24.700 ⇒ 00:05:28.709 Amber Lin: So let me share my whole screen, and then
60 00:05:29.160 ⇒ 00:05:32.859 Amber Lin: I can show you what I’m talking about. So
61 00:05:33.380 ⇒ 00:05:41.600 Amber Lin: it was a little hard to figure out what I can, what we can split the work because a lot of them I still don’t have the complete
62 00:05:42.354 ⇒ 00:05:47.610 Amber Lin: structure from the from the trainers, and I think
63 00:05:47.770 ⇒ 00:05:50.770 Amber Lin: what we can start with is
64 00:05:54.530 ⇒ 00:05:56.390 Amber Lin: Here, let’s go.
65 00:05:58.050 ⇒ 00:06:02.220 Amber Lin: I think I’ll share. I’ll share this one with you.
66 00:06:03.030 ⇒ 00:06:05.410 Amber Lin: And okay.
67 00:06:08.140 ⇒ 00:06:19.280 Amber Lin: Oh, great, you have. You have editor access to this? I was thinking that we could, because these I’m so I need the trainers to write. We can’t really write much
68 00:06:19.400 ⇒ 00:06:28.720 Amber Lin: for that. I guess for Directory.
69 00:06:29.720 ⇒ 00:06:33.820 Amber Lin: I guess there’s 2 things one can you help
70 00:06:35.110 ⇒ 00:06:43.220 Amber Lin: get whatever? So this one is for coverage. So there is a ticket here.
71 00:06:44.584 ⇒ 00:06:47.239 Amber Lin: It says so for
72 00:06:47.690 ⇒ 00:06:59.999 Amber Lin: that section. We’ll add it to the Central Doc. Once we finish working on it. Could you use AI to gather whatever coverage it currently mentions and added.
73 00:07:00.100 ⇒ 00:07:11.839 Amber Lin: and add it here. I separate it into rodent and pest control, and then termite. So add anything that the Central Doc mentions into those sections, and then.
74 00:07:11.840 ⇒ 00:07:12.440 Casie Aviles: Okay.
75 00:07:12.690 ⇒ 00:07:19.096 Amber Lin: And then there’s also in this sheet the feedback that Csrs had.
76 00:07:19.770 ⇒ 00:07:29.310 Amber Lin: I think you can just filter by service information, and that could.
77 00:07:31.730 ⇒ 00:07:32.710 Amber Lin: Sorry.
78 00:07:34.382 ⇒ 00:07:40.019 Amber Lin: By service information. And what did I do? Oh, select all!
79 00:07:43.720 ⇒ 00:07:52.080 Amber Lin: And those that says service information is probably oh, it! We treat this, too. We don’t. We treat that
80 00:07:52.190 ⇒ 00:07:54.210 Amber Lin: so. That could be a
81 00:07:54.580 ⇒ 00:08:04.679 Amber Lin: easy place to start. Maybe, if you’re able to do it. Look at other comments as well. But to start just looking at the service Service information comments.
82 00:08:06.300 ⇒ 00:08:10.020 Amber Lin: that will be great and
83 00:08:11.181 ⇒ 00:08:13.779 Amber Lin: just add it, maybe use AI or
84 00:08:13.930 ⇒ 00:08:20.670 Amber Lin: added to that list as well, and if you do make the edit to add it to the
85 00:08:21.050 ⇒ 00:08:31.889 Amber Lin: just change the change, the status here to testing so that we can test if it’s in there. Let me know once this is done, and then we can go check the Central Doc together.
86 00:08:32.940 ⇒ 00:08:34.100 Casie Aviles: Okay. Okay. Sure.
87 00:08:34.100 ⇒ 00:08:41.410 Amber Lin: Yeah, I think there’s a few spaces to use. AI here. I don’t want you to have to go manually one by one. It’s pretty tedious.
88 00:08:41.745 ⇒ 00:08:43.049 Casie Aviles: Okay, yeah, of course.
89 00:08:43.309 ⇒ 00:08:48.209 Amber Lin: Yeah, so that’s 1. Let me check
90 00:08:54.439 ⇒ 00:09:03.609 Amber Lin: I was thinking for for this sheet.
91 00:09:08.928 ⇒ 00:09:14.949 Amber Lin: I was wondering if we can recategorize these questions.
92 00:09:16.549 ⇒ 00:09:19.319 Amber Lin: Under like these.
93 00:09:20.899 ⇒ 00:09:29.619 Amber Lin: Sorry, these categories, you can probably ignore this. Actually.
94 00:09:30.199 ⇒ 00:09:36.919 Amber Lin: So just these 4 areas.
95 00:09:37.309 ⇒ 00:09:43.479 Amber Lin: Maybe AI would also be helpful if you just send AI this column and just do a rough
96 00:09:44.245 ⇒ 00:09:48.819 Amber Lin: ask it to do a rough like categorization in column d
97 00:09:49.343 ⇒ 00:09:53.546 Amber Lin: like any. Just a rough estimation would be good. I just need to.
98 00:09:55.119 ⇒ 00:10:14.749 Amber Lin: get what I’ll how I’ll use. This is later on. I’ll filter by question type, and I’ll get. I’ll look at the questions under that question type and go look at. Okay, is it covered in the central doc? Where do I need to get it covered. And how does Andy? Answer that?
99 00:10:15.469 ⇒ 00:10:17.239 Amber Lin: So? Yeah.
100 00:10:18.047 ⇒ 00:10:19.270 Casie Aviles: For the existing.
101 00:10:19.270 ⇒ 00:10:19.805 Amber Lin: Trast,
102 00:10:20.340 ⇒ 00:10:23.704 Casie Aviles: Yeah. Sorry for for the existing what they call this.
103 00:10:24.680 ⇒ 00:10:27.410 Casie Aviles: are those types right? Question types?
104 00:10:27.980 ⇒ 00:10:30.080 Casie Aviles: We’re not gonna overwrite these right.
105 00:10:30.934 ⇒ 00:10:35.750 Amber Lin: Sure, we can just create another column. Well, we can just create another one
106 00:10:37.220 ⇒ 00:10:38.989 Amber Lin: like we can just add it here.
107 00:10:40.010 ⇒ 00:10:41.299 Casie Aviles: Okay. Then. Okay.
108 00:10:49.610 ⇒ 00:10:52.240 Amber Lin: Let me add the link to that spreadsheet.
109 00:10:53.727 ⇒ 00:10:56.629 Amber Lin: Column. E of
110 00:11:01.300 ⇒ 00:11:07.890 Amber Lin: so thanks. Just those 2. I will.
111 00:11:08.300 ⇒ 00:11:12.540 Amber Lin: I will. Look at these more?
112 00:11:16.600 ⇒ 00:11:18.850 Amber Lin: Yeah, that should be good.
113 00:11:19.010 ⇒ 00:11:20.900 Amber Lin: So just just those 2.
114 00:11:23.300 ⇒ 00:11:24.130 Amber Lin: Alright.
115 00:11:24.430 ⇒ 00:11:25.150 Casie Aviles: Thanks, amber.
116 00:11:25.150 ⇒ 00:11:29.200 Casie Aviles: Thank you. I’ll see you later. And the call with Utah, okay, yeah. See? You.
117 00:11:29.200 ⇒ 00:11:30.720 Amber Lin: Okay. Bye-bye.