Meeting Title: ABC Standup Date: 2025-08-28 Meeting participants: Mustafa Raja, Casie Aviles, Amber Lin, Samuel Roberts
WEBVTT
1 00:02:57.170 ⇒ 00:02:58.520 Amber Lin: Hello.
2 00:03:00.530 ⇒ 00:03:01.015 Amber Lin: Hmm….
3 00:03:01.500 ⇒ 00:03:02.040 Casie Aviles: Yay.
4 00:03:02.040 ⇒ 00:03:05.760 Amber Lin: Let’s start with some yellow cookies.
5 00:03:06.120 ⇒ 00:03:14.130 Amber Lin: Casey, I think… Mmm… We have…
6 00:03:14.600 ⇒ 00:03:17.210 Amber Lin: I think now we can do meta….
7 00:03:17.210 ⇒ 00:03:17.940 Samuel Roberts: Sorry, guys.
8 00:03:18.420 ⇒ 00:03:19.420 Amber Lin: Hi!
9 00:03:19.550 ⇒ 00:03:25.309 Amber Lin: Hi, Sam. I think for… we’re talking about insomnia cookies right now. I think for that, we have…
10 00:03:26.560 ⇒ 00:03:30.699 Amber Lin: meta access to the Looker DAP, so….
11 00:03:30.700 ⇒ 00:03:32.260 Casie Aviles: I’ve been using that one.
12 00:03:32.260 ⇒ 00:03:38.680 Amber Lin: Yeah, so we would… It’s done.
13 00:03:39.290 ⇒ 00:03:47.020 Amber Lin: So, would we be able to automate using that dashboard, or how are we gonna do this?
14 00:03:48.360 ⇒ 00:03:49.870 Amber Lin: the influence on it.
15 00:03:49.870 ⇒ 00:03:56.039 Casie Aviles: Hmm, I think… I’m not sure how Looker works yet, it looks like… it looks.
16 00:03:56.040 ⇒ 00:03:56.430 Amber Lin: Sick.
17 00:03:56.430 ⇒ 00:03:58.030 Casie Aviles: It’s just a view.
18 00:03:59.630 ⇒ 00:04:06.429 Casie Aviles: So, it’s either we can… Somehow extract the data.
19 00:04:07.120 ⇒ 00:04:09.249 Casie Aviles: from Looker, or if not, then…
20 00:04:10.000 ⇒ 00:04:13.610 Casie Aviles: We’ll have to do scraping again, like….
21 00:04:13.610 ⇒ 00:04:14.190 Amber Lin: Hmm.
22 00:04:14.430 ⇒ 00:04:15.030 Casie Aviles: Yeah.
23 00:04:23.109 ⇒ 00:04:27.029 Amber Lin: I’ll make a ticket for that. I think we…
24 00:04:27.279 ⇒ 00:04:32.809 Amber Lin: We have this, and we have the Uber Eats manager.
25 00:04:33.219 ⇒ 00:04:34.219 Amber Lin: 8.
26 00:04:34.569 ⇒ 00:04:39.529 Amber Lin: For the Uber Eats manager, do we need a spike on that, or…?
27 00:04:39.869 ⇒ 00:04:43.699 Amber Lin: Oh, I see, we already have a spike on it. …
28 00:04:43.909 ⇒ 00:04:56.569 Amber Lin: We have today and tomorrow. What is the reasonable… what’s reasonable to be completed by Friday? I think we can only pick one of these two. We’re landing now?
29 00:04:56.570 ⇒ 00:04:59.140 Casie Aviles: Yeah, by Friday, let’s just go with…
30 00:05:00.470 ⇒ 00:05:02.370 Casie Aviles: I’ll go with Uber for now.
31 00:05:02.760 ⇒ 00:05:06.960 Amber Lin: Mmm, okay. So I’ll put the meta for next week.
32 00:05:07.810 ⇒ 00:05:16.470 Amber Lin: So… Boom… That’s done… That’s also done…
33 00:05:16.650 ⇒ 00:05:22.880 Amber Lin: Okay, so this I’ll say for Friday. Yes.
34 00:05:22.990 ⇒ 00:05:25.369 Amber Lin: How far are we into the spike?
35 00:05:26.930 ⇒ 00:05:33.489 Casie Aviles: For this… for Uber Eats Manager, I have to check still if we could actually…
36 00:05:33.930 ⇒ 00:05:41.380 Casie Aviles: get this from API, because I had to double-check, like, for DoorDash and, … Uber ads.
37 00:05:41.510 ⇒ 00:05:46.020 Casie Aviles: I double-checked if we could get it from API, and there was, like, …
38 00:05:46.230 ⇒ 00:05:50.499 Casie Aviles: there’s… it’s not possible, as Robert also mentioned, so….
39 00:05:52.090 ⇒ 00:05:56.870 Casie Aviles: that’s why we had to resort to scraping. So, for Uber Eats Manager.
40 00:05:58.520 ⇒ 00:06:04.549 Casie Aviles: Oh, sorry, it might be… might be confusing, because Uber Eats and Uber Ads are different.
41 00:06:04.910 ⇒ 00:06:15.989 Amber Lin: Yeah, I think Uber Eats Manager is the one that we need to create… create a report and then download that, which I don’t know how we’re gonna do with scraping if we need to create a report.
42 00:06:16.560 ⇒ 00:06:19.950 Casie Aviles: Yeah, that’s… that’s what I was also thinking, so if…
43 00:06:20.140 ⇒ 00:06:22.350 Casie Aviles: If… yeah, I’ll look into that.
44 00:06:23.780 ⇒ 00:06:26.600 Casie Aviles: If we can actually get it…
45 00:06:26.890 ⇒ 00:06:31.310 Casie Aviles: Like, automate the reporting, then we could just get that downloaded and…
46 00:06:31.590 ⇒ 00:06:37.149 Casie Aviles: Or, like, I mean, upload that to a Google Sheet somehow, but yeah, I’ll look into that.
47 00:06:37.840 ⇒ 00:06:38.950 Amber Lin: Yeah, okay.
48 00:06:39.140 ⇒ 00:06:47.109 Amber Lin: … I… I doubt if the automation is gonna get done Friday, but we’ll… I’ll just…
49 00:06:47.430 ⇒ 00:06:53.309 Amber Lin: put it there, if we have to push it, we can push it. I’ll see that’s what that one’s for.
50 00:06:53.910 ⇒ 00:06:54.990 Amber Lin: Next week.
51 00:06:55.920 ⇒ 00:06:56.750 Amber Lin: Okay.
52 00:06:58.180 ⇒ 00:07:07.089 Amber Lin: Sounds good. Do we have a sense of how we’re gonna take all of these and put it into daily… put it into the daily impact scorecard?
53 00:07:08.900 ⇒ 00:07:14.920 Casie Aviles: I… for me, like, My… my initial idea is I would just have, like, …
54 00:07:15.290 ⇒ 00:07:18.919 Casie Aviles: like, for now, I’m doing, like, one sheet per data source.
55 00:07:20.070 ⇒ 00:07:26.940 Casie Aviles: So… I’m thinking of just replicating… Like, creating a sample…
56 00:07:28.110 ⇒ 00:07:36.220 Casie Aviles: daily impact scorecard, like, I’m just gonna copy that, and then it’s gonna get from Those, individual sheets.
57 00:07:36.820 ⇒ 00:07:41.670 Casie Aviles: For each data source, so it’s gonna be, like, a bunch of formulas, probably, that gets from….
58 00:07:41.670 ⇒ 00:07:42.280 Amber Lin: Okay.
59 00:07:43.400 ⇒ 00:07:47.819 Casie Aviles: Yeah, that’s what I was thinking, but yeah, I’ll test it out first.
60 00:07:48.450 ⇒ 00:07:49.270 Amber Lin: Okay.
61 00:07:49.530 ⇒ 00:07:58.069 Amber Lin: … Alright, and then going to ABC… You’re not. Alright.
62 00:08:01.430 ⇒ 00:08:06.929 Casie Aviles: I think the main one for me was the… oh, you… did you make another ticket for that?
63 00:08:07.310 ⇒ 00:08:08.880 Amber Lin: … no.
64 00:08:08.880 ⇒ 00:08:09.510 Casie Aviles: to move into Asia.
65 00:08:09.970 ⇒ 00:08:16.069 Amber Lin: Yeah, it can be canceled, it doesn’t matter. There’s not… there’s only a title, so… Don’t worry about that.
66 00:08:16.360 ⇒ 00:08:21.860 Amber Lin: I can break it down… I’ll probably break it down into the… into different tickets.
67 00:08:22.960 ⇒ 00:08:30.480 Casie Aviles: Yeah, this one is 735, this is the one I’m working on. I can finish this shortly, I just… I’m just finishing up.
68 00:08:32.210 ⇒ 00:08:32.780 Amber Lin: Hey everyone.
69 00:08:32.780 ⇒ 00:08:33.510 Casie Aviles: stuff.
70 00:08:36.630 ⇒ 00:08:43.250 Amber Lin: Okay, so we have the zips table, create… People table…
71 00:08:45.650 ⇒ 00:08:56.309 Amber Lin: And then we have… create service areas table… … I guess, like…
72 00:08:56.650 ⇒ 00:09:04.489 Amber Lin: With an inspector sheet data, and skills, and zips. Data.
73 00:09:05.840 ⇒ 00:09:06.720 Amber Lin: Okay.
74 00:09:08.720 ⇒ 00:09:13.960 Amber Lin: So, this one for today… …
75 00:09:15.090 ⇒ 00:09:18.640 Amber Lin: I think the next step are these two.
76 00:09:18.880 ⇒ 00:09:24.309 Amber Lin: How are we… what do you think you can complete by Friday, given all the tasks that you have?
77 00:09:26.510 ⇒ 00:09:30.459 Casie Aviles: Let me double-check what this service areas table is, so….
78 00:09:30.630 ⇒ 00:09:37.420 Amber Lin: Oh, it’s the, do we service this zip code on this, this, like… Do we….
79 00:09:37.420 ⇒ 00:09:38.080 Casie Aviles: do.
80 00:09:38.080 ⇒ 00:09:42.119 Amber Lin: Keep the eye on this zip code, yes or no, type of question.
81 00:09:42.620 ⇒ 00:09:49.009 Casie Aviles: Okay, yeah, I think that should be… doable, since we already have, like, the table, so….
82 00:09:49.780 ⇒ 00:09:59.010 Casie Aviles: For people, it’s going to be a bit trickier, because I have to check all the people from the technicians and also the inspectors.
83 00:09:59.500 ⇒ 00:10:01.780 Casie Aviles: Unless they have, like, a master sheet.
84 00:10:02.110 ⇒ 00:10:06.669 Amber Lin: I think they have, it might not be the most complete.
85 00:10:06.670 ⇒ 00:10:07.010 Casie Aviles: Yeah.
86 00:10:07.010 ⇒ 00:10:16.230 Amber Lin: It could be… One on… This… Like, there’s… Residential Pet Services.
87 00:10:16.480 ⇒ 00:10:26.220 Amber Lin: I think this could be good. And then… the sales, so the… like, the salespeople, who are the inspectors, essentially.
88 00:10:26.400 ⇒ 00:10:27.650 Amber Lin: ….
89 00:10:27.650 ⇒ 00:10:29.409 Casie Aviles: Oh, okay, that’s there, thank you.
90 00:10:29.410 ⇒ 00:10:36.350 Amber Lin: Yeah, and then technicians, you can probably also get it here. This way, you can also… …
91 00:10:37.230 ⇒ 00:10:41.160 Amber Lin: Oh, these are, like, per… …
92 00:10:42.120 ⇒ 00:10:58.470 Amber Lin: Yeah, it’s a little confusing, but we do have some sheets on all the people. We might still miss some, because they probably haven’t updated this one, they probably only updated the inspector sheet, but that’s something we can start from, and we can ask AI to find things we’re missing.
93 00:10:59.000 ⇒ 00:11:02.090 Casie Aviles: Okay, so I guess, in terms of what this…
94 00:11:02.270 ⇒ 00:11:07.720 Casie Aviles: Much faster to accomplish than that would be service areas, and then the people table next.
95 00:11:08.460 ⇒ 00:11:09.530 Amber Lin: Okay.
96 00:11:09.780 ⇒ 00:11:11.350 Amber Lin: So….
97 00:11:11.510 ⇒ 00:11:12.550 Casie Aviles: ….
98 00:11:12.550 ⇒ 00:11:16.080 Amber Lin: Can you give me estimates for how long these would take?
99 00:11:17.750 ⇒ 00:11:20.230 Casie Aviles: For each of these, … Yeah.
100 00:11:20.860 ⇒ 00:11:23.639 Casie Aviles: You could say this one is just, …
101 00:11:23.870 ⇒ 00:11:25.900 Casie Aviles: Yeah, let’s give this one point.
102 00:11:26.930 ⇒ 00:11:28.309 Amber Lin: Our teammate’s probably gonna die.
103 00:11:29.630 ⇒ 00:11:33.220 Casie Aviles: I think Yeah, probably one point each.
104 00:11:34.290 ⇒ 00:11:34.940 Amber Lin: Okay.
105 00:11:36.360 ⇒ 00:11:42.410 Amber Lin: Something crazy. I think this changed my third party… Same for the instructor and skills and zip sheet.
106 00:11:44.060 ⇒ 00:11:46.970 Amber Lin: Actually, that might be just because we already flattened it.
107 00:11:47.500 ⇒ 00:11:48.320 Casie Aviles: Yeah.
108 00:11:48.320 ⇒ 00:11:50.650 Amber Lin: Yeah, I’ll also do one pointer. Okay.
109 00:11:51.230 ⇒ 00:11:59.589 Amber Lin: Then, do you think… which one do you think we can complete on fri- end of… by end of Friday? Like, one or both of them?
110 00:11:59.740 ⇒ 00:12:01.149 Amber Lin: No beacons.
111 00:12:01.900 ⇒ 00:12:06.010 Casie Aviles: I’ll… I’ll try to aim for, like, both of them, but…
112 00:12:06.130 ⇒ 00:12:12.360 Casie Aviles: Yeah, the one I’ll prioritize is the… after the Zipsis service areas.
113 00:12:12.360 ⇒ 00:12:13.370 Amber Lin: Okay.
114 00:12:13.750 ⇒ 00:12:16.189 Amber Lin: I’ll do it like this. H.
115 00:12:17.460 ⇒ 00:12:18.130 Casie Aviles: Okay.
116 00:12:19.020 ⇒ 00:12:20.320 Amber Lin: Sounds great.
117 00:12:20.690 ⇒ 00:12:22.570 Amber Lin: That’s in progress.
118 00:12:23.420 ⇒ 00:12:27.020 Amber Lin: This is also part of the…
119 00:12:31.850 ⇒ 00:12:34.199 Amber Lin: Part of the zip codes, ….
120 00:12:34.200 ⇒ 00:12:34.970 Casie Aviles: Yeah, yeah, yeah.
121 00:12:34.970 ⇒ 00:12:37.860 Amber Lin: People, right? Okay, awesome, I’ll cancel that one.
122 00:12:39.290 ⇒ 00:12:41.170 Amber Lin: Duplicate.
123 00:12:41.620 ⇒ 00:12:42.510 Amber Lin: Okay.
124 00:12:43.640 ⇒ 00:12:46.930 Amber Lin: Alright, that’s the zip code stuff.
125 00:12:47.440 ⇒ 00:12:52.550 Amber Lin: I assume this hasn’t been touched yet.
126 00:12:52.700 ⇒ 00:12:54.210 Casie Aviles: No, no, this hasn’t been….
127 00:12:54.210 ⇒ 00:13:05.379 Amber Lin: Okay, okay, I’m gonna go ask. The client asked me on Monday, I, … For God.
128 00:13:05.880 ⇒ 00:13:18.739 Amber Lin: Tongue… I’m telling you to check. … When you get a chance….
129 00:13:20.760 ⇒ 00:13:28.289 Casie Aviles: He might be swamped, though, so… Yeah, I know. I could do it, but it’ll probably be next week already.
130 00:13:28.750 ⇒ 00:13:35.509 Amber Lin: Just setting in the exact spot where you were trying to go. And then on the…
131 00:13:35.890 ⇒ 00:13:44.510 Amber Lin: Lawn, home improvement, mechanical side, I’ve been trying to make this… Home Improvement Central Dock.
132 00:13:44.630 ⇒ 00:13:50.220 Amber Lin: I think I’m a bit… the last parts I’m stuck on, I think, was…
133 00:13:50.840 ⇒ 00:13:52.559 Amber Lin: Where is it? Where is it?
134 00:13:53.220 ⇒ 00:13:57.790 Amber Lin: Home improvement… Home.
135 00:13:59.440 ⇒ 00:14:00.170 Amber Lin: Okay.
136 00:14:02.040 ⇒ 00:14:14.960 Amber Lin: Yeah, they have a few spreadsheets, one spreadsheet, I would say, that… I… Like, they have this spreadsheet.
137 00:14:15.210 ⇒ 00:14:20.000 Amber Lin: That we probably should need to flatten that.
138 00:14:20.420 ⇒ 00:14:24.129 Amber Lin: And then there’s, like, referrals….
139 00:14:25.910 ⇒ 00:14:34.880 Amber Lin: And then there’s, like, if services are covered… … Link. Please…
140 00:14:35.160 ⇒ 00:14:42.700 Amber Lin: I think this we can probably copy and paste. Routing, pool… Poor FNQs.
141 00:14:42.820 ⇒ 00:14:48.479 Amber Lin: And then billing. … So, I think…
142 00:14:50.070 ⇒ 00:14:55.660 Amber Lin: I would need some help, probably… like…
143 00:14:56.740 ⇒ 00:15:02.839 Amber Lin: maybe flattening this… I was just wondering, how are we gonna add this to the…
144 00:15:03.960 ⇒ 00:15:07.549 Amber Lin: to… to the Home Improvement Central dock.
145 00:15:09.740 ⇒ 00:15:12.149 Amber Lin: Like, do we… do we…
146 00:15:12.490 ⇒ 00:15:21.289 Amber Lin: attach, like, link a table also to Andy, or do we add this as text into the central doc?
147 00:15:23.010 ⇒ 00:15:24.010 Amber Lin: How do you hear?
148 00:15:24.630 ⇒ 00:15:25.470 Amber Lin: Let’s go….
149 00:15:25.470 ⇒ 00:15:32.870 Casie Aviles: … So, I guess one thing that we did before is we… Kept things that are tabular.
150 00:15:33.560 ⇒ 00:15:36.919 Casie Aviles: Inside a spreadsheet, so what…
151 00:15:37.060 ⇒ 00:15:39.230 Casie Aviles: what could happen is Andy could just…
152 00:15:39.630 ⇒ 00:15:42.210 Casie Aviles: use a Google Sheet tool and…
153 00:15:43.170 ⇒ 00:15:49.560 Casie Aviles: Read directly from the spreadsheet, so that’s fine for… tabular data. ….
154 00:15:49.560 ⇒ 00:15:51.159 Amber Lin: And then for, like.
155 00:15:51.160 ⇒ 00:15:56.449 Casie Aviles: Flows and scripts, like, … What they have on the central dock for pests.
156 00:15:56.770 ⇒ 00:15:59.730 Casie Aviles: Ideally, that should be in the Google Doc.
157 00:16:00.300 ⇒ 00:16:01.119 Amber Lin: So I think….
158 00:16:01.640 ⇒ 00:16:08.050 Casie Aviles: That’s one way we could approach this, where the tabular data is in a spreadsheet, and then.
159 00:16:08.350 ⇒ 00:16:08.980 Amber Lin: Me too.
160 00:16:08.980 ⇒ 00:16:12.200 Casie Aviles: Those that are not should be in a central dog.
161 00:16:12.700 ⇒ 00:16:21.540 Amber Lin: Let’s just go all the way. I see. Mustova, do you have extra time that you can help with? I know you’re on default and interlude.
162 00:16:21.540 ⇒ 00:16:26.580 Mustafa Raja: Yeah, I might have time, today and tomorrow.
163 00:16:26.800 ⇒ 00:16:36.990 Mustafa Raja: I feel, this week I might, I might have quite a lot of time, for interviews.
164 00:16:36.990 ⇒ 00:16:38.050 Amber Lin: I was trying to save up here.
165 00:16:38.050 ⇒ 00:16:40.409 Mustafa Raja: I wouldn’t have worked so much for Interlude.
166 00:16:41.430 ⇒ 00:16:45.920 Amber Lin: One what? Okay, so you’re saying Interlude might take less time this week.
167 00:16:45.920 ⇒ 00:16:46.870 Mustafa Raja: Yeah, yeah, yeah.
168 00:16:46.870 ⇒ 00:17:02.690 Amber Lin: Okay, okay. Sounds good. And I’ll probably ask for help on… on this task. I’ll make an issue.
169 00:17:03.000 ⇒ 00:17:07.040 Amber Lin: I don’t know. Doc.
170 00:17:08.599 ⇒ 00:17:11.510 Amber Lin: I will add the spreadsheet.
171 00:17:12.390 ⇒ 00:17:14.200 Amber Lin: … Let me decide that.
172 00:17:14.510 ⇒ 00:17:17.580 Amber Lin: So, this is the spreadsheet.
173 00:17:17.980 ⇒ 00:17:21.069 Mustafa Raja: So this is very similar to what we did before for.
174 00:17:21.079 ⇒ 00:17:23.749 Amber Lin: Yeah, for mechanical, yeah.
175 00:17:24.019 ⇒ 00:17:30.139 Amber Lin: Yeah, and let me add this as well. …
176 00:17:36.549 ⇒ 00:17:39.599 Amber Lin: So I’m just gonna… I have no bats.
177 00:17:42.389 ⇒ 00:17:43.929 Amber Lin: I have none, unfortunately.
178 00:17:48.689 ⇒ 00:17:50.539 Amber Lin: I’m gonna try and grab that house for us.
179 00:17:53.269 ⇒ 00:17:58.499 Amber Lin: And I think the… Probably the first…
180 00:18:00.339 ⇒ 00:18:07.749 Amber Lin: We can just decide here. That can be a spreadsheet. I think that can probably stay in the spreadsheet.
181 00:18:08.429 ⇒ 00:18:13.239 Amber Lin: And then these, probably we can…
182 00:18:13.569 ⇒ 00:18:20.819 Amber Lin: I have infinite ammo in. Add to… I think anything after… How do we just walk in and take this?
183 00:18:21.399 ⇒ 00:18:23.199 Amber Lin: Wait, wait, hurry, take a second.
184 00:18:23.200 ⇒ 00:18:31.230 Mustafa Raja: If a spreadsheet has images like this one, do we also add this to the… these images to the central doc?
185 00:18:31.420 ⇒ 00:18:35.229 Mustafa Raja: My understanding is Andy doesn’t read images.
186 00:18:35.560 ⇒ 00:18:40.689 Mustafa Raja: Yeah, it doesn’t read images, but maybe we can add it to the central doc so that people can….
187 00:18:40.690 ⇒ 00:18:52.340 Amber Lin: So that they can read it. I’ll probably just take a screenshot of this, add it to the central doc, and leave it be. I’m just gonna do this.
188 00:18:53.040 ⇒ 00:19:01.239 Amber Lin: Added, and then call it done for this page. Yeah. … on our door.
189 00:19:02.620 ⇒ 00:19:03.659 Amber Lin: I’m tracked.
190 00:19:04.470 ⇒ 00:19:06.260 Amber Lin: Okay, so I’ll just add it.
191 00:19:06.860 ⇒ 00:19:12.039 Amber Lin: I’m just out of here. I’ll mark that one, that one as…
192 00:19:15.680 ⇒ 00:19:21.640 Amber Lin: Wait, where is that? I have a couple syringes, but… Routing.
193 00:19:22.570 ⇒ 00:19:25.079 Amber Lin: Okay, I’ll mark that one since.
194 00:19:25.490 ⇒ 00:19:26.630 Amber Lin: That’s done.
195 00:19:26.850 ⇒ 00:19:27.690 Amber Lin: Okay.
196 00:19:30.380 ⇒ 00:19:32.680 Amber Lin: Yeah, once you do add them, just let me know.
197 00:19:32.860 ⇒ 00:19:36.280 Mustafa Raja: Okay. I will say… how long do you think this would take?
198 00:19:36.670 ⇒ 00:19:39.530 Mustafa Raja: He can do, I guess, one point, and….
199 00:19:39.730 ⇒ 00:19:40.280 Amber Lin: Okay.
200 00:19:41.280 ⇒ 00:19:44.489 Mustafa Raja: And then we can see, for deadline tomorrow.
201 00:19:44.900 ⇒ 00:19:45.690 Amber Lin: Okay.
202 00:19:46.180 ⇒ 00:19:47.590 Amber Lin: Sounds good.
203 00:19:48.520 ⇒ 00:19:50.510 Amber Lin: Great for me.
204 00:19:51.740 ⇒ 00:20:00.749 Amber Lin: Tomorrow… And I’ll work on adding the initial documents to Lawn.
205 00:20:01.820 ⇒ 00:20:04.539 Mustafa Raja: Do they have more departments than these ones?
206 00:20:04.540 ⇒ 00:20:12.780 Amber Lin: I think this is it, and I do think this is it. I think for… it’s just for Lawn, they have a lot of PowerPoints.
207 00:20:13.030 ⇒ 00:20:13.740 Amber Lin: ….
208 00:20:13.740 ⇒ 00:20:14.630 Mustafa Raja: Oh….
209 00:20:14.810 ⇒ 00:20:24.389 Amber Lin: You guys have good guidance for adding PowerPoints, because they have images and text, and ideally they want the images in the central doc as well, so it’s…
210 00:20:24.940 ⇒ 00:20:29.710 Amber Lin: Lombard, but they don’t have too many documents, so I’ll… I’ll try.
211 00:20:32.800 ⇒ 00:20:34.140 Amber Lin: Yeah. Okay.
212 00:20:34.820 ⇒ 00:20:40.440 Amber Lin: Oh, Lawn also has a spreadsheet.
213 00:20:40.980 ⇒ 00:20:45.260 Amber Lin: But I think their spreadsheet’s a lot simpler.
214 00:20:45.670 ⇒ 00:20:47.940 Amber Lin: So they have… oops.
215 00:20:54.000 ⇒ 00:20:59.489 Amber Lin: Austin map templates, that’s fine. These are links, okay.
216 00:21:02.470 ⇒ 00:21:06.060 Amber Lin: These are scheduling guides.
217 00:21:07.730 ⇒ 00:21:09.740 Amber Lin: Come on. Yeah, okay.
218 00:21:10.180 ⇒ 00:21:20.389 Amber Lin: I think lawn spreadsheet is probably similar to the zip code sheet, and then, like, pricing and estimate.
219 00:21:20.580 ⇒ 00:21:24.030 Amber Lin: like, prices, so I’ll keep them as spreadsheets.
220 00:21:24.200 ⇒ 00:21:25.180 Amber Lin: Okay.
221 00:21:25.820 ⇒ 00:21:29.579 Amber Lin: Sounds good. I will add a ticket to Lawn.
222 00:21:29.920 ⇒ 00:21:40.659 Amber Lin: And I think the last thing I want to talk about, just the feedback, we’re accumulating quite a few, and I want to see if we can close out some… some tasks there.
223 00:21:41.290 ⇒ 00:21:44.620 Amber Lin: … Okay.
224 00:21:50.540 ⇒ 00:21:51.470 Amber Lin: Right.
225 00:21:52.770 ⇒ 00:22:01.499 Amber Lin: So… For future reference, the infinite demo lamp does not give you infinite. Does it show the original….
226 00:22:01.810 ⇒ 00:22:02.670 Casie Aviles: True.
227 00:22:04.100 ⇒ 00:22:13.160 Casie Aviles: Let me see… I think it failed for one of them, because… the…
228 00:22:13.460 ⇒ 00:22:19.430 Casie Aviles: condition that I used is limited, so I’ll have to… Readjust then.
229 00:22:20.390 ⇒ 00:22:21.330 Amber Lin: I see.
230 00:22:23.620 ⇒ 00:22:24.500 Amber Lin: …
231 00:22:37.900 ⇒ 00:22:39.150 Amber Lin: Sounds good.
232 00:22:39.430 ⇒ 00:22:43.420 Amber Lin: … Yeah, let’s look here…
233 00:22:46.510 ⇒ 00:22:50.440 Amber Lin: Group by… Signees, okay.
234 00:22:52.260 ⇒ 00:22:58.980 Amber Lin: Feedback, triage… Yeah, I don’t know why that comes up.
235 00:22:59.300 ⇒ 00:23:05.360 Amber Lin: … Amy… there’s this one of…
236 00:23:05.730 ⇒ 00:23:13.479 Amber Lin: We got energy. What are we pushing? And, like, how to apply credit, I don’t think it’s coming up.
237 00:23:14.170 ⇒ 00:23:15.790 Amber Lin: like, fully.
238 00:23:16.130 ⇒ 00:23:17.900 Amber Lin: So there’s that issue.
239 00:23:18.920 ⇒ 00:23:20.250 Amber Lin: And… Okay.
240 00:23:21.520 ⇒ 00:23:30.719 Amber Lin: That’s… I think a template… That didn’t come up.
241 00:23:32.020 ⇒ 00:23:36.130 Amber Lin: And then… -oh.
242 00:23:36.940 ⇒ 00:23:37.660 Amber Lin: Here.
243 00:23:38.250 ⇒ 00:23:39.590 Amber Lin: To Janiece.
244 00:23:40.770 ⇒ 00:23:41.870 Amber Lin: What’s this?
245 00:23:44.760 ⇒ 00:23:46.690 Amber Lin: Did we change Patricia?
246 00:23:47.490 ⇒ 00:23:48.920 Amber Lin: So, Simon’s…
247 00:23:52.920 ⇒ 00:23:54.099 Amber Lin: I think so.
248 00:23:55.050 ⇒ 00:24:00.509 Amber Lin: … Now I have energy, and then Breaker, I guess. So I’m just checking on here…
249 00:24:00.700 ⇒ 00:24:04.860 Amber Lin: It just feels like it’s so easy to… Leave that area.
250 00:24:06.130 ⇒ 00:24:07.620 Casie Aviles: Oh, this is for adding….
251 00:24:08.040 ⇒ 00:24:09.580 Amber Lin: I see.
252 00:24:10.170 ⇒ 00:24:13.389 Amber Lin: Why is she asking us to add it? Okay.
253 00:24:13.570 ⇒ 00:24:15.070 Amber Lin: We can add it.
254 00:24:15.830 ⇒ 00:24:20.060 Amber Lin: … We’ll see…
255 00:24:29.330 ⇒ 00:24:32.670 Amber Lin: And then… I have a secondary, really quick.
256 00:24:35.660 ⇒ 00:24:39.950 Amber Lin: This is probably something that we can do in our…
257 00:24:40.340 ⇒ 00:24:47.969 Amber Lin: In this zip code database of who are universal inspectors and who are specialists.
258 00:24:48.180 ⇒ 00:24:50.900 Amber Lin: … But… it’s….
259 00:24:50.900 ⇒ 00:24:55.040 Casie Aviles: Mmm, so that’s going to be, like, another distinction.
260 00:24:55.040 ⇒ 00:25:03.739 Amber Lin: Yeah… Well, do you think… maybe we can add it to, like, the different roles in the…
261 00:25:04.510 ⇒ 00:25:07.989 Amber Lin: Maybe in the people’s table, we can add the roles.
262 00:25:08.400 ⇒ 00:25:09.410 Amber Lin: There, but….
263 00:25:09.680 ⇒ 00:25:10.780 Casie Aviles: Okay, I’ll just… yeah.
264 00:25:10.780 ⇒ 00:25:12.330 Amber Lin: Yeah, I’m gonna….
265 00:25:12.330 ⇒ 00:25:12.880 Casie Aviles: Mounted.
266 00:25:13.470 ⇒ 00:25:17.719 Amber Lin: I’ll move this to backlog to a different project.
267 00:25:24.970 ⇒ 00:25:25.820 Amber Lin: Okay.
268 00:25:26.470 ⇒ 00:25:27.459 Amber Lin: How high one?
269 00:25:32.440 ⇒ 00:25:36.859 Amber Lin: Yeah, the… The price is not coming up correctly here.
270 00:25:37.440 ⇒ 00:25:38.730 Amber Lin: For mechanical.
271 00:25:39.830 ⇒ 00:25:41.819 Casie Aviles: Okay, I’ll inspect that.
272 00:25:48.220 ⇒ 00:25:49.550 Amber Lin: And then…
273 00:25:53.640 ⇒ 00:25:59.369 Amber Lin: Yeah… I don’t know why that came up as just those two.
274 00:26:01.050 ⇒ 00:26:02.160 Amber Lin: What is she doing?
275 00:26:11.060 ⇒ 00:26:15.660 Amber Lin: And I’ve also noticed Andy has gotten a little bit slower recently.
276 00:26:17.520 ⇒ 00:26:22.909 Casie Aviles: Was it yesterday? I did… I was testing something, which is why it got slow.
277 00:26:28.240 ⇒ 00:26:32.669 Amber Lin: Bye, bye, bye. I’m gonna…
278 00:26:36.200 ⇒ 00:26:39.360 Amber Lin: Then, Peterson Balloona. Oh.
279 00:26:39.850 ⇒ 00:26:41.599 Amber Lin: I got two of them with my thumb on it.
280 00:26:42.730 ⇒ 00:26:46.119 Amber Lin: I don’t know if this is high, I’ll change isn’t low.
281 00:26:46.980 ⇒ 00:26:47.780 Amber Lin: Okay.
282 00:26:48.850 ⇒ 00:26:49.859 Amber Lin: From what side?
283 00:26:55.800 ⇒ 00:26:57.260 Casie Aviles: There’s no feedback.
284 00:26:58.080 ⇒ 00:27:05.880 Amber Lin: Yeah, that’s… Jonathan Hubert? He flew what?
285 00:27:06.520 ⇒ 00:27:09.119 Amber Lin: Drywood termite leaves.
286 00:27:11.540 ⇒ 00:27:17.560 Amber Lin: Yeah, I think we had… These are… hallucinations.
287 00:27:18.040 ⇒ 00:27:21.349 Amber Lin: When they asked for backups, because there’s no backups.
288 00:27:22.040 ⇒ 00:27:27.020 Casie Aviles: Oh, okay, okay. Yeah, that’s… I’m gonna fix that via prompt.
289 00:27:27.410 ⇒ 00:27:29.580 Amber Lin: They’re all gonna be ready to fight us, yeah.
290 00:27:34.930 ⇒ 00:27:36.530 Amber Lin: Nope, G6V1.
291 00:27:37.370 ⇒ 00:27:45.269 Amber Lin: And then… Patricia… Did you hear in this one?
292 00:27:46.190 ⇒ 00:27:47.700 Amber Lin: Still didn’t work.
293 00:27:47.810 ⇒ 00:27:48.970 Amber Lin: …
294 00:27:54.670 ⇒ 00:28:01.870 Amber Lin: And sometimes it still asks, is this pest for mechanical, when I said, like, if it’s mechanical.
295 00:28:02.180 ⇒ 00:28:03.590 Amber Lin: Yeah.
296 00:28:03.590 ⇒ 00:28:04.650 Mustafa Raja: As a woman.
297 00:28:05.000 ⇒ 00:28:06.979 Amber Lin: I think this is still wrong.
298 00:28:12.400 ⇒ 00:28:25.209 Mustafa Raja: By that, do we mean that, even if we, specify in our prompt that we want this information for mechanical, it still gives it for, it still asks whether for mechanical or plastic?
299 00:28:25.210 ⇒ 00:28:28.160 Amber Lin: Literally one, could not be more lucky. Yeah. Oh, yeah.
300 00:28:28.160 ⇒ 00:28:32.480 Mustafa Raja: Yeah, we can adjust this… Yeah, system prompt.
301 00:28:32.780 ⇒ 00:28:34.020 Amber Lin: What? Okay.
302 00:28:34.480 ⇒ 00:28:43.800 Amber Lin: Okay, because I think the mechanical is not coming up as good as, … the pest stocks.
303 00:28:44.010 ⇒ 00:28:48.609 Amber Lin: I think, Michelleva, I’m gonna assign the mechanical ones for you.
304 00:28:48.710 ⇒ 00:28:52.679 Amber Lin: … Just system front.
305 00:28:53.200 ⇒ 00:29:01.550 Amber Lin: So that Casey can… Do the database as well. What else?
306 00:29:01.720 ⇒ 00:29:02.999 Amber Lin: And then she chased.
307 00:29:03.310 ⇒ 00:29:11.149 Amber Lin: That one, too, is also not… I was just trying to get out, I couldn’t turn around, I couldn’t get out to you. The…
308 00:29:14.850 ⇒ 00:29:23.410 Amber Lin: That’s just… Oh, that’s just we need to… Add those sheets.
309 00:29:24.190 ⇒ 00:29:31.230 Amber Lin: … I’m gonna add it to… Here…
310 00:29:33.410 ⇒ 00:29:42.289 Amber Lin: like, I think, Mistava, this is related to the flattened skills and zips that you did. Yeah. Do we get to Andy at….
311 00:29:42.540 ⇒ 00:29:50.410 Mustafa Raja: No, no, no, the sheets are only flattened, but we still need to attach them to Andy.
312 00:29:52.320 ⇒ 00:29:52.830 Amber Lin: Okay.
313 00:29:52.830 ⇒ 00:29:57.530 Mustafa Raja: It’s still the… what’s it called? The hard-coded thing.
314 00:29:57.840 ⇒ 00:29:59.300 Amber Lin: I see, okay.
315 00:29:59.680 ⇒ 00:30:02.200 Amber Lin: Should we try that out?
316 00:30:02.500 ⇒ 00:30:03.379 Mustafa Raja: Here we go.
317 00:30:03.590 ⇒ 00:30:04.230 Amber Lin: Okay.
318 00:30:04.390 ⇒ 00:30:06.660 Amber Lin: The caustic acid sphere.
319 00:30:08.220 ⇒ 00:30:14.200 Amber Lin: Okay, sounds good. Inspector Sheik, Patricia…
320 00:30:15.100 ⇒ 00:30:20.140 Amber Lin: That’s the right call, but that’s why. I know. I know.
321 00:30:20.140 ⇒ 00:30:20.530 Casie Aviles: Hmm.
322 00:30:22.120 ⇒ 00:30:28.080 Amber Lin: Just not sure… I also just should have had a kill, and it’s… I’m gonna check… -oh.
323 00:30:29.300 ⇒ 00:30:31.740 Amber Lin: Do I have another meeting?
324 00:30:32.290 ⇒ 00:30:33.620 Amber Lin: Okay, I’m fine.
325 00:30:34.070 ⇒ 00:30:46.070 Amber Lin: … Spreadsheets… sends… Oh… Okay, we might have to check that.
326 00:30:47.590 ⇒ 00:30:50.659 Amber Lin: Not showing all hints.
327 00:30:52.830 ⇒ 00:30:55.489 Casie Aviles: Oh, this is for tech cycle, TechSource Inspector.
328 00:30:56.010 ⇒ 00:31:04.459 Amber Lin: Response… Well, I checked this, I don’t know if it’s still true, but we can double check.
329 00:31:04.860 ⇒ 00:31:10.010 Amber Lin: And then… Susie, this is about mechanical…
330 00:31:11.380 ⇒ 00:31:19.800 Amber Lin: I don’t… I don’t know… what she was… Asking.
331 00:31:20.060 ⇒ 00:31:24.140 Amber Lin: Bottomless fats? … Oh, well.
332 00:31:30.000 ⇒ 00:31:38.980 Amber Lin: … Shannon… Yeah, that one is still asking for mechanical or pest.
333 00:31:46.810 ⇒ 00:31:48.760 Amber Lin: Don’t know if that’s still true.
334 00:31:49.330 ⇒ 00:31:52.179 Mustafa Raja: Yeah, this would be, ….
335 00:31:52.530 ⇒ 00:31:53.170 Amber Lin: ….
336 00:31:53.170 ⇒ 00:31:57.770 Mustafa Raja: And we can fix this, via system prompt, I’ll work on this.
337 00:31:58.360 ⇒ 00:32:03.110 Amber Lin: Hmm, okay, so I will assign that to you.
338 00:32:05.410 ⇒ 00:32:08.689 Amber Lin: And, from Janice…
339 00:32:13.590 ⇒ 00:32:17.489 Amber Lin: Let me check the gap…
340 00:32:18.770 ⇒ 00:32:26.539 Amber Lin: I think that’s… that’s the last triage we have. Oh, there’s new ones, but those are not as urgent, so I’ll… we can leave that for next week.
341 00:32:27.220 ⇒ 00:32:31.760 Amber Lin: … I’m on your footsteps.
342 00:32:32.420 ⇒ 00:32:33.430 Amber Lin: Nope.
343 00:32:35.360 ⇒ 00:32:37.140 Amber Lin: They’re gonna come up with this, but they have to.
344 00:32:37.740 ⇒ 00:32:42.419 Amber Lin: Service coal, mosquito one time, sales amount…
345 00:32:48.610 ⇒ 00:32:50.940 Amber Lin: Okay, I think that works.
346 00:32:53.920 ⇒ 00:32:55.560 Amber Lin: Nexus, the Nexus.
347 00:32:57.890 ⇒ 00:32:59.989 Amber Lin: I mean, why is it not…
348 00:33:04.700 ⇒ 00:33:06.960 Amber Lin: Huh. We just got flown over, too.
349 00:33:10.510 ⇒ 00:33:12.770 Amber Lin: Wait, what does…
350 00:33:13.280 ⇒ 00:33:21.509 Amber Lin: Oh, I think she wants it to show that add a new estimate on the lead line sales user, and that part is not showing up.
351 00:33:23.660 ⇒ 00:33:25.030 Amber Lin: So, good. Okay.
352 00:33:25.140 ⇒ 00:33:32.640 Amber Lin: Lead… Line sales is, not true.
353 00:33:34.710 ⇒ 00:33:37.059 Amber Lin: I’ll assign it to you. Best swap.
354 00:33:38.120 ⇒ 00:33:45.780 Amber Lin: Alright, we have… Okay, that’s better. We have around a few feedback here.
355 00:33:46.530 ⇒ 00:33:49.919 Amber Lin: … I’m there for Star Nose.
356 00:33:53.900 ⇒ 00:33:55.869 Amber Lin: Yeah, I think all the perks are good.
357 00:34:04.320 ⇒ 00:34:05.460 Amber Lin: Sounds good.
358 00:34:05.850 ⇒ 00:34:06.600 Amber Lin: Yep.
359 00:34:07.110 ⇒ 00:34:11.519 Amber Lin: Do you guys feel okay with this workload? Is that too much?
360 00:34:14.920 ⇒ 00:34:16.340 Mustafa Raja: Oh, yeah, this should be good.
361 00:34:16.989 ⇒ 00:34:17.809 Amber Lin: Okay.
362 00:34:17.810 ⇒ 00:34:21.980 Casie Aviles: It just looks like a lot, but some of these are zero… …
363 00:34:22.540 ⇒ 00:34:27.400 Casie Aviles: what do you call this estimate? So, I think I’ll just try to get as much as I can.
364 00:34:27.630 ⇒ 00:34:29.699 Amber Lin: Yeah, same.
365 00:34:29.810 ⇒ 00:34:30.719 Amber Lin: Okay.
366 00:34:33.620 ⇒ 00:34:42.139 Amber Lin: And I think when they asked for this, I think we default to just giving the pest inspectors …
367 00:34:42.469 ⇒ 00:34:52.040 Amber Lin: Turned past class reports… Yeah, okay. Thank you all. I will finish triaging.
368 00:34:52.230 ⇒ 00:34:52.730 Amber Lin: Chase?
369 00:34:52.739 ⇒ 00:34:54.149 Casie Aviles: Okay, thank you.
370 00:34:54.150 ⇒ 00:34:56.299 Amber Lin: Everyone talks more. Bye.
371 00:34:56.300 ⇒ 00:34:56.840 Mustafa Raja: Thanks.