Meeting Title: Miguel x Uttam x Amber Date: 2025-03-25 Meeting participants: Miguel De Veyra, Amber Lin
WEBVTT
1 00:00:00.000 ⇒ 00:00:05.650 Amber Lin: High School in Canada, and then I went to University
2 00:00:05.650 ⇒ 00:00:07.530 Miguel de Veyra: Oh, boys! Yes.
3 00:00:07.730 ⇒ 00:00:08.410 Amber Lin: Yeah.
4 00:00:10.430 ⇒ 00:00:11.930 Miguel de Veyra: So a lot of countries.
5 00:00:14.440 ⇒ 00:00:18.250 Miguel de Veyra: Okay, wait. Let’s go. I think it’s assigned first, st
6 00:00:18.680 ⇒ 00:00:24.129 Miguel de Veyra: golden data sheet inaccurate, not ideal proof responses.
7 00:00:25.790 ⇒ 00:00:27.520 Miguel de Veyra: Parent issue.
8 00:00:29.240 ⇒ 00:00:35.400 Miguel de Veyra: Okay, so this is the parent. So this should just be assigned to me. Then improve, answer accuracy
9 00:00:35.400 ⇒ 00:00:39.479 Amber Lin: Remove the parent issue like we can remove that if you think that’s better
10 00:00:40.040 ⇒ 00:00:43.810 Miguel de Veyra: Yeah, honestly, this one is kind of the same, and
11 00:00:43.810 ⇒ 00:00:44.500 Amber Lin: Okay.
12 00:00:44.800 ⇒ 00:00:50.690 Miguel de Veyra: Wait. I think we should remove the ones that doesn’t have an acceptance criteria. How should we approach this
13 00:00:53.790 ⇒ 00:00:54.910 Amber Lin: Let’s see.
14 00:00:54.910 ⇒ 00:00:55.289 Miguel de Veyra: Is this?
15 00:00:55.665 ⇒ 00:00:59.419 Amber Lin: Created this mess because there are so many nested issues
16 00:00:59.420 ⇒ 00:01:02.900 Miguel de Veyra: So like cause like the ticket ticket stop.
17 00:01:04.269 ⇒ 00:01:09.070 Miguel de Veyra: So like, do we need need to sign these to everything.
18 00:01:11.050 ⇒ 00:01:14.940 Miguel de Veyra: do everything. And then what else
19 00:01:15.780 ⇒ 00:01:20.270 Miguel de Veyra: we need to clean duplicate tickets. We need to clean the duplicate tickets.
20 00:01:20.980 ⇒ 00:01:24.675 Miguel de Veyra: What else do we need to do limit subtasks
21 00:01:25.410 ⇒ 00:01:32.240 Amber Lin: Yeah, don’t have nested issues.
22 00:01:32.870 ⇒ 00:01:38.139 Miguel de Veyra: Yeah, let’s let’s let’s stick with this. Let’s assign 1st everything and then work from there.
23 00:01:38.570 ⇒ 00:01:39.310 Amber Lin: Okay.
24 00:01:39.530 ⇒ 00:01:44.600 Amber Lin: sounds good. I mean, we only have to work on the stuff in the cycle. So there’s not that much.
25 00:01:45.450 ⇒ 00:01:46.440 Miguel de Veyra: Include other stuff.
26 00:01:46.440 ⇒ 00:01:47.809 Miguel de Veyra: There’s 41,
27 00:01:48.922 ⇒ 00:01:50.330 Amber Lin: Oh! Never mind then.
28 00:01:51.410 ⇒ 00:01:53.930 Miguel de Veyra: Oh, I should we hide?
29 00:01:54.060 ⇒ 00:01:59.759 Miguel de Veyra: Oh, wait! Shows up. Okay. So without the sub tasks, it’s just this. So it’s not much
30 00:02:01.610 ⇒ 00:02:05.469 Miguel de Veyra: executive reporting. Dashboard has 12 subtas.
31 00:02:06.710 ⇒ 00:02:10.309 Miguel de Veyra: Oh, yeah, I think we should do this view and then just work on it from top down.
32 00:02:10.820 ⇒ 00:02:13.230 Miguel de Veyra: Improve answer accuracy.
33 00:02:13.830 ⇒ 00:02:21.760 Miguel de Veyra: What is this user story competition data.
34 00:02:22.459 ⇒ 00:02:26.349 Miguel de Veyra: We have to remove this one, I think, avoiding hallucination
35 00:02:26.350 ⇒ 00:02:28.990 Amber Lin: It’s a bit okay.
36 00:02:30.000 ⇒ 00:02:31.140 Amber Lin: We can delete
37 00:02:31.140 ⇒ 00:02:38.330 Miguel de Veyra: Yeah, we can. I mean, we can just add later on, update and add ABC documents
38 00:02:38.330 ⇒ 00:02:49.669 Amber Lin: Yeah, like the the turn. I know there’s an there’s more sub tasks in there that you can assign it to me. Can you click on the add documents. There’s more in there. Oh, there’s not okay. Great
39 00:02:49.670 ⇒ 00:02:56.230 Miguel de Veyra: Yeah, I think the thing is for this. How do we cause update and add all ABC documents is technically their job.
40 00:02:56.730 ⇒ 00:03:01.480 Miguel de Veyra: How do we tag that, then do I just send it to you. So just we know
41 00:03:01.480 ⇒ 00:03:04.739 Amber Lin: I think, just tag me, cause I’m gonna
42 00:03:05.140 ⇒ 00:03:08.589 Amber Lin: ask the clients to update. So it’s technically my job to
43 00:03:09.010 ⇒ 00:03:12.120 Miguel de Veyra: Okay, okay, I’m just gonna tag it here. Then
44 00:03:12.120 ⇒ 00:03:12.530 Amber Lin: Okay.
45 00:03:12.530 ⇒ 00:03:19.979 Miguel de Veyra: Comment, client client! Oh, oh, Amber, I think this is the thing
46 00:03:20.150 ⇒ 00:03:21.490 Amber Lin: Client.
47 00:03:21.600 ⇒ 00:03:24.860 Miguel de Veyra: Right now we know it’s clients.
48 00:03:27.502 ⇒ 00:03:30.110 Miguel de Veyra: Let’s add this thing called client right?
49 00:03:30.570 ⇒ 00:03:31.160 Amber Lin: Oh, sure!
50 00:03:31.160 ⇒ 00:03:32.110 Miguel de Veyra: Them, yeah.
51 00:03:32.440 ⇒ 00:03:33.499 Amber Lin: Okay, that’s good.
52 00:03:35.000 ⇒ 00:03:37.491 Miguel de Veyra: Okay, okay, so that’s done.
53 00:03:39.560 ⇒ 00:03:42.159 Miguel de Veyra: okay, so this is the executive dashboard.
54 00:03:44.830 ⇒ 00:03:45.530 Miguel de Veyra: Can.
55 00:03:46.090 ⇒ 00:03:48.099 Miguel de Veyra: There’s so much stuff here.
56 00:03:49.900 ⇒ 00:03:50.740 Miguel de Veyra: Okay,
57 00:03:52.700 ⇒ 00:04:01.239 Amber Lin: This is for the I added his template, and then they built out essentially. The last 6 or 7 tasks is from the template.
58 00:04:02.580 ⇒ 00:04:04.210 Amber Lin: Gonna get accepted, etcetera.
59 00:04:04.560 ⇒ 00:04:08.439 Miguel de Veyra: Okay, okay, so should we clean clean this, then
60 00:04:08.600 ⇒ 00:04:10.499 Amber Lin: Cause. I think we can just add it right.
61 00:04:10.820 ⇒ 00:04:18.830 Amber Lin: Whatever you think is the process of how are we gonna get this past the client like, what kind of review steps do we need
62 00:04:19.220 ⇒ 00:04:20.859 Amber Lin: like on that side of the stuff
63 00:04:21.700 ⇒ 00:04:27.630 Miguel de Veyra: Cause. Yeah, cause I don’t think like looking at all of these 6 or 7, 6
64 00:04:28.200 ⇒ 00:04:28.520 Amber Lin: Hmm.
65 00:04:28.520 ⇒ 00:04:32.500 Miguel de Veyra: I I don’t see anyone who can who we can. Client review is gonna beat them. So
66 00:04:32.630 ⇒ 00:04:43.810 Miguel de Veyra: we do that every week. Product owner Pm. Review is not really a task. I think this is like a separate separate task that we do by the end of the week. This one we don’t really do
67 00:04:44.750 ⇒ 00:04:50.389 Miguel de Veyra: formatting and copy, build dashboard and dashboard tool. This is already done. We have it in real.
68 00:04:50.840 ⇒ 00:04:56.610 Miguel de Veyra: The data is available. Yes, define the use case, and I think this is all we can delete. This.
69 00:04:57.260 ⇒ 00:04:59.429 Miguel de Veyra: Is there a way to match, delete or no? No.
70 00:05:00.043 ⇒ 00:05:04.259 Amber Lin: I think you select all issues. So you shift. And then
71 00:05:04.522 ⇒ 00:05:05.309 Miguel de Veyra: There you go!
72 00:05:05.500 ⇒ 00:05:07.230 Amber Lin: And then you just
73 00:05:07.230 ⇒ 00:05:08.449 Miguel de Veyra: Enter. Okay, there you go.
74 00:05:08.450 ⇒ 00:05:09.250 Amber Lin: Thank you.
75 00:05:10.190 ⇒ 00:05:14.229 Miguel de Veyra: Okay, now we have. Why is it still 41.
76 00:05:15.380 ⇒ 00:05:17.230 Miguel de Veyra: Hello! Or let me. Hello!
77 00:05:17.750 ⇒ 00:05:23.660 Amber Lin: Can you click open patrick’s projects
78 00:05:24.140 ⇒ 00:05:26.729 Amber Lin: like I don’t know how much of it is.
79 00:05:29.550 ⇒ 00:05:31.950 Amber Lin: How do I add? Add him here?
80 00:05:33.020 ⇒ 00:05:33.635 Amber Lin: Oh,
81 00:05:34.360 ⇒ 00:05:40.539 Amber Lin: Then I guess his project is not. I think we have 41, because there’s so many nested subtests.
82 00:05:40.800 ⇒ 00:05:41.650 Amber Lin: so
83 00:05:41.960 ⇒ 00:05:45.309 Miguel de Veyra: Yeah. But oh, okay, here, this has 3. Also.
84 00:05:46.740 ⇒ 00:05:47.960 Miguel de Veyra: Okay, okay.
85 00:05:52.390 ⇒ 00:05:55.539 Miguel de Veyra: shit. So deep inside. No, we can’t really find it.
86 00:06:02.580 ⇒ 00:06:05.589 Miguel de Veyra: because there’s still 40 in one, and we deleted 6.
87 00:06:10.760 ⇒ 00:06:13.030 Miguel de Veyra: Oh, this is still in scope, though
88 00:06:14.710 ⇒ 00:06:19.280 Miguel de Veyra: so how do we see that 41? Is it here?
89 00:06:20.580 ⇒ 00:06:21.790 Amber Lin: What do you mean?
90 00:06:21.790 ⇒ 00:06:25.079 Miguel de Veyra: Like it says, Here, scope 41
91 00:06:25.430 ⇒ 00:06:28.209 Miguel de Veyra: started. This 20 completed is 10
92 00:06:29.880 ⇒ 00:06:37.970 Amber Lin: I think it’s 41 story points, not story cause I I kind of assigned a few with higher.
93 00:06:39.880 ⇒ 00:06:44.299 Amber Lin: like more story points. So I think that was a little bit confusing.
94 00:06:44.300 ⇒ 00:06:51.010 Miguel de Veyra: Oh, okay, I see. Because thought it was ticket numbers
95 00:06:51.880 ⇒ 00:06:58.439 Amber Lin: It’s it’s not. It’s not just ticket numbers, because I don’t think we have 41 tickets
96 00:06:58.440 ⇒ 00:07:01.399 Miguel de Veyra: Yeah, I was trying to find that I was like, where.
97 00:07:03.560 ⇒ 00:07:05.639 Miguel de Veyra: okay, okay, that should be fine. Then.
98 00:07:07.190 ⇒ 00:07:09.529 Miguel de Veyra: Okay, I think we can go back to board now.
99 00:07:10.140 ⇒ 00:07:11.010 Amber Lin: All right.
100 00:07:11.010 ⇒ 00:07:13.129 Miguel de Veyra: And then show sub issues.
101 00:07:13.260 ⇒ 00:07:14.332 Miguel de Veyra: Still, a lot
102 00:07:15.390 ⇒ 00:07:16.940 Amber Lin: So a lot. I know
103 00:07:18.020 ⇒ 00:07:20.999 Miguel de Veyra: Okay, dashboard. This should be in review.
104 00:07:21.650 ⇒ 00:07:26.120 Miguel de Veyra: Spreadsheet should be in review. Slack, alert, should be in review.
105 00:07:29.390 ⇒ 00:07:33.629 Miguel de Veyra: Okay, I guess we do. You wanna do the to do, or the in progress first, st
106 00:07:34.720 ⇒ 00:07:35.680 Amber Lin: Pardon me.
107 00:07:36.329 ⇒ 00:07:38.219 Miguel de Veyra: Do you want to do this or do this first? st
108 00:07:40.516 ⇒ 00:07:48.779 Amber Lin: Why don’t we just look at all this stuff in progress and then just get like, maybe
109 00:07:48.970 ⇒ 00:07:51.810 Amber Lin: figure out the issues, or maybe
110 00:07:53.230 ⇒ 00:07:53.799 Miguel de Veyra: That’s okay.
111 00:07:53.800 ⇒ 00:07:56.000 Amber Lin: Acceptance criteria like that
112 00:07:57.550 ⇒ 00:08:05.480 Miguel de Veyra: Okay, so let’s do identify some issue of improvement, some issue of what Etta here.
113 00:08:05.790 ⇒ 00:08:08.899 Miguel de Veyra: Oh, so it’s a sub issue and a sub issue. Okay, okay, that’s right.
114 00:08:08.900 ⇒ 00:08:10.052 Amber Lin: Yeah, I’m so sorry
115 00:08:11.470 ⇒ 00:08:16.619 Amber Lin: that that how I didn’t know how linear works. So that’s what it ended up being
116 00:08:17.630 ⇒ 00:08:22.730 Miguel de Veyra: Okay. So this one is golden. Looking at inaccurate, not ideal answers.
117 00:08:22.850 ⇒ 00:08:31.070 Miguel de Veyra: okay, so I get this one. Just to show you. I believe it’s it should be this one, right? So when something is like shit, answer, it goes here
118 00:08:31.390 ⇒ 00:08:32.010 Amber Lin: Hmm.
119 00:08:32.010 ⇒ 00:08:34.529 Miguel de Veyra: So technically that satisfies it. Right?
120 00:08:35.419 ⇒ 00:08:45.269 Amber Lin: Yes, I think my only is that we can also look at the ones already in the data sheet, and then improve on those as well. But yes, I do think
121 00:08:45.809 ⇒ 00:08:48.999 Amber Lin: they are like they are overlapping
122 00:08:49.440 ⇒ 00:08:50.349 Miguel de Veyra: Okay. Okay.
123 00:08:51.390 ⇒ 00:08:54.469 Amber Lin: But there’s a separate task for that. That’s the spreadsheet. One
124 00:08:54.470 ⇒ 00:08:55.390 Miguel de Veyra: Yeah. Yeah.
125 00:08:57.260 ⇒ 00:09:06.749 Miguel de Veyra: Looking at the golden day, looking at the inaccurate, not ideal answers to improve our ad. I mean, we kind of filled it up already. I do. Isn’t this the thing I did
126 00:09:06.950 ⇒ 00:09:07.970 Miguel de Veyra: like here?
127 00:09:14.900 ⇒ 00:09:18.260 Miguel de Veyra: Yeah, I think it’s this one. So I guess we can close this. What do you think.
128 00:09:18.540 ⇒ 00:09:20.569 Miguel de Veyra: or should we assign this to client
129 00:09:25.650 ⇒ 00:09:27.340 Miguel de Veyra: Think we should assign this to client
130 00:09:28.210 ⇒ 00:09:29.340 Amber Lin: Sure.
131 00:09:29.340 ⇒ 00:09:33.899 Miguel de Veyra: Alright looking because I don’t. I don’t understand the golden date
132 00:09:33.900 ⇒ 00:09:38.189 Amber Lin: Yeah, sorry. This this was not very clear. I think I just meant to.
133 00:09:38.610 ⇒ 00:09:50.889 Amber Lin: This is part of improving the our answer. So we? We look at the ones that we’re not doing well in the golden data sheet already. And then
134 00:09:51.520 ⇒ 00:09:53.760 Miguel de Veyra: Okay, do you just wanna delete this
135 00:09:54.050 ⇒ 00:09:54.810 Amber Lin: Sure. Yeah.
136 00:09:54.810 ⇒ 00:09:55.850 Miguel de Veyra: It’s too broad.
137 00:09:56.270 ⇒ 00:09:57.179 Amber Lin: Yeah, sure.
138 00:09:57.400 ⇒ 00:09:58.849 Miguel de Veyra: Okay, okay, let’s delete that.
139 00:09:59.030 ⇒ 00:10:00.599 Miguel de Veyra: Okay. So technically.
140 00:10:00.600 ⇒ 00:10:06.720 Amber Lin: Specificity do you want with the tickets like what is what is a good ticket?
141 00:10:08.500 ⇒ 00:10:11.390 Miguel de Veyra: Yeah, yeah, that’s like, that’s a good question. Actually.
142 00:10:12.290 ⇒ 00:10:18.750 Miguel de Veyra: what is a group ticket? So ideally, it has what to do with them. Say again, user story
143 00:10:20.490 ⇒ 00:10:24.990 Amber Lin: You goal user story acceptance criteria.
144 00:10:33.120 ⇒ 00:10:34.799 Miguel de Veyra: Max. 2 subtasks.
145 00:10:42.260 ⇒ 00:10:44.829 Miguel de Veyra: Okay, why is this not going here?
146 00:10:47.910 ⇒ 00:10:51.699 Miguel de Veyra: Turn into I see.
147 00:10:54.960 ⇒ 00:10:55.790 Miguel de Veyra: Okay.
148 00:11:01.000 ⇒ 00:11:04.440 Miguel de Veyra: okay, so ideally, we have one of these.
149 00:11:16.630 ⇒ 00:11:20.690 Miguel de Veyra: But if the subtasks for this are done, does this mean this ticket is done
150 00:11:25.000 ⇒ 00:11:31.380 Amber Lin: And so to me, this kind of ongoing. But then maybe it shouldn’t be a ticket
151 00:11:31.710 ⇒ 00:11:41.839 Miguel de Veyra: Yes, no, I think I think that’s correct. It should be a ticket, because here it says, identify not really do anything with that. So it’s just to identify right? See a list
152 00:11:41.840 ⇒ 00:11:44.050 Amber Lin: Lead the part of improve on them, so
153 00:11:44.505 ⇒ 00:11:44.960 Miguel de Veyra: Yeah.
154 00:11:44.960 ⇒ 00:11:46.659 Amber Lin: Identify the under deal
155 00:11:47.280 ⇒ 00:11:52.809 Miguel de Veyra: See, see a list of answers that are not good user story.
156 00:11:53.270 ⇒ 00:11:54.849 Miguel de Veyra: I don’t know what user story means.
157 00:11:55.500 ⇒ 00:12:20.440 Amber Lin: User story. Essentially, just a sentence like the client said it. It’s like, Oh, as a say, as a Csr. I want the response to be quick, so I can get back to my customer or as a manager like, oh, when people update the documents, I want to be able to prove that. So I want to, so I can make sure everything’s aligned. So it’s like that
158 00:12:20.840 ⇒ 00:12:21.750 Miguel de Veyra: Okay. Okay.
159 00:12:21.890 ⇒ 00:12:22.450 Amber Lin: Hmm.
160 00:12:23.150 ⇒ 00:12:27.199 Miguel de Veyra: How do I turn this into a checkbox? Is it this one
161 00:12:28.454 ⇒ 00:12:35.900 Amber Lin: You type in 2 square brack delete the bullet point like the bullet point icon and type in 2 square brackets
162 00:12:35.900 ⇒ 00:12:40.609 Miguel de Veyra: Oh, okay, okay, okay, yeah. Then that should be good.
163 00:12:42.280 ⇒ 00:12:44.930 Miguel de Veyra: User story should not. Okay. There you go. Yeah.
164 00:12:45.560 ⇒ 00:12:50.470 Miguel de Veyra: So slack, alert. I’ll show you. It’s ABC logs. It’s this one.
165 00:12:51.040 ⇒ 00:12:52.250 Miguel de Veyra: Add or
166 00:12:53.150 ⇒ 00:12:59.919 Miguel de Veyra: shows you this, and then the quality score we also we also want to share who type who was the one who requested it.
167 00:13:05.070 ⇒ 00:13:08.760 Amber Lin: Oh hmm!
168 00:13:10.430 ⇒ 00:13:13.049 Miguel de Veyra: So yeah, technically, that that thing is done.
169 00:13:13.170 ⇒ 00:13:14.560 Miguel de Veyra: So this ticket is done
170 00:13:15.210 ⇒ 00:13:15.850 Amber Lin: Okay.
171 00:13:16.520 ⇒ 00:13:18.790 Miguel de Veyra: Improve answer accuracy.
172 00:13:19.100 ⇒ 00:13:24.560 Miguel de Veyra: So I guess this one we can move to Pr review this one is one client.
173 00:13:26.230 ⇒ 00:13:29.089 Miguel de Veyra: So how do you? How do? Should we do this? Then
174 00:13:32.130 ⇒ 00:13:34.639 Amber Lin: Yeah, and can we go back to the parent issue?
175 00:13:34.900 ⇒ 00:13:35.670 Miguel de Veyra: Yeah, yeah.
176 00:13:37.230 ⇒ 00:13:38.420 Amber Lin: Oh, if hmm!
177 00:13:39.250 ⇒ 00:13:43.740 Amber Lin: I feel like this, don’t have. This doesn’t need to be nested so
178 00:13:43.740 ⇒ 00:13:45.089 Miguel de Veyra: Yeah, they should be
179 00:13:45.280 ⇒ 00:13:48.679 Amber Lin: Yeah, so can you select both of them? Select both of them
180 00:13:48.850 ⇒ 00:13:49.470 Miguel de Veyra: Yeah.
181 00:13:49.910 ⇒ 00:13:53.809 Amber Lin: And then right click to remove parent issue.
182 00:13:55.310 ⇒ 00:13:57.590 Miguel de Veyra: Yeah, there we go, and then we can delete this one.
183 00:13:58.260 ⇒ 00:13:59.310 Miguel de Veyra: Oh, shit.
184 00:14:00.620 ⇒ 00:14:02.379 Miguel de Veyra: Okay, this one. We delete right?
185 00:14:02.770 ⇒ 00:14:03.310 Amber Lin: Hmm.
186 00:14:03.650 ⇒ 00:14:06.210 Miguel de Veyra: Improve. I still need to find it improve.
187 00:14:07.610 ⇒ 00:14:12.290 Miguel de Veyra: Yeah, okay.
188 00:14:13.230 ⇒ 00:14:14.650 Amber Lin: That’s a bit less fast.
189 00:14:14.880 ⇒ 00:14:15.540 Amber Lin: Alright.
190 00:14:15.540 ⇒ 00:14:20.230 Miguel de Veyra: Okay, executive reporting dashboard. This is the next one that’s pretty big.
191 00:14:20.490 ⇒ 00:14:23.080 Miguel de Veyra: Oh, wait, let’s go. Actually, let’s close the other 2.
192 00:14:23.240 ⇒ 00:14:32.509 Miguel de Veyra: Client. Should we just put client here, or should this be on somewhere else?
193 00:14:32.910 ⇒ 00:14:39.850 Amber Lin: Yeah, I was wondering. I maybe just in the blocked, because kind of like they need. That’s what they need to do, or just put it in
194 00:14:40.090 ⇒ 00:14:46.129 Miguel de Veyra: Yeah, okay, hmm, in in my previous job we had this client who
195 00:14:47.580 ⇒ 00:14:48.110 Amber Lin: Hmm.
196 00:14:48.640 ⇒ 00:14:52.249 Miguel de Veyra: So if you know, because technically, there’s nothing you can do about it.
197 00:14:52.390 ⇒ 00:14:52.710 Amber Lin: Yeah.
198 00:14:52.710 ⇒ 00:14:55.010 Miguel de Veyra: And the cloth is your shit. So client, move
199 00:14:56.240 ⇒ 00:15:04.130 Miguel de Veyra: and feedback to data. Yeah, this one. I think there’s only this one I’m I’m just gonna clarify first, st before we notice to peer review
200 00:15:04.410 ⇒ 00:15:07.200 Miguel de Veyra: executive reporting dashboard.
201 00:15:10.180 ⇒ 00:15:10.960 Miguel de Veyra: It’s such
202 00:15:10.960 ⇒ 00:15:14.809 Amber Lin: Just the just the thumbs up, and I think we should be done with
203 00:15:14.810 ⇒ 00:15:19.889 Miguel de Veyra: Okay, okay, so this one is technically the same thing run clear sprints with.
204 00:15:20.040 ⇒ 00:15:22.440 Miguel de Veyra: I’m not sure this is a task
205 00:15:22.970 ⇒ 00:15:28.869 Amber Lin: This is like I don’t know where this came from. I think Wutum changed this
206 00:15:29.599 ⇒ 00:15:31.750 Miguel de Veyra: I’ll just assign this to you, because this is
207 00:15:31.750 ⇒ 00:15:33.560 Amber Lin: No, this is this is me. This is me sorry!
208 00:15:33.560 ⇒ 00:15:36.549 Miguel de Veyra: Yeah, it seems like.
209 00:15:36.680 ⇒ 00:15:44.509 Miguel de Veyra: keep the client up to date. I think this is also yours. Oh, we should probably add something like this also, if it’s like a a bit, general. Yeah.
210 00:15:45.040 ⇒ 00:15:45.760 Amber Lin: Hmm.
211 00:15:46.050 ⇒ 00:15:46.720 Miguel de Veyra: Right.
212 00:15:46.950 ⇒ 00:15:48.330 Amber Lin: Sure that’s great.
213 00:15:48.330 ⇒ 00:15:55.560 Miguel de Veyra: And then, for example, if you want to create a ticket, and you’re not sure if what is this just type engineering, I guess something like this engineer.
214 00:15:56.970 ⇒ 00:15:58.059 Miguel de Veyra: Then I can look into it
215 00:15:59.300 ⇒ 00:16:06.749 Amber Lin: Use the comment feature. I’ll probably just tag like comment of tag you, and then you can look at it
216 00:16:07.070 ⇒ 00:16:13.290 Miguel de Veyra: Okay, clean up. Document. Okay, what does this central Doc should be well formatted
217 00:16:14.180 ⇒ 00:16:22.260 Amber Lin: Yeah, I think last, this is not a priority at all. Like last meeting, they were like, Oh, is the availability
218 00:16:22.520 ⇒ 00:16:30.549 Amber Lin: spreadsheet? Does it look pretty, or whatever it it is not. But I don’t think it’s very important that it does.
219 00:16:30.860 ⇒ 00:16:33.299 Amber Lin: So it’s just there, but we don’t
220 00:16:33.300 ⇒ 00:16:35.950 Miguel de Veyra: Yeah, who’s gonna who’s assigned here?
221 00:16:36.920 ⇒ 00:16:43.350 Miguel de Veyra: Cleaned up? Yeah. Cleaned up spreadsheet with zip codes. And I think this is theirs. Cause I we can’t touch it.
222 00:16:43.910 ⇒ 00:16:46.350 Miguel de Veyra: We don’t even have edit access to this
223 00:16:46.580 ⇒ 00:16:48.180 Amber Lin: Oh, that’s so funny!
224 00:16:48.590 ⇒ 00:16:50.890 Miguel de Veyra: Sure I am okay.
225 00:16:50.890 ⇒ 00:16:55.219 Amber Lin: So they wanted us to clean it up. But they don’t even gave. Okay.
226 00:16:55.590 ⇒ 00:16:56.420 Amber Lin: I see
227 00:16:59.070 ⇒ 00:17:04.039 Miguel de Veyra: Golden data sheet. Yeah, this is, I think this is, we should probably move this to blocked.
228 00:17:11.540 ⇒ 00:17:15.089 Miguel de Veyra: Let’s just move that be able to deploy the newest code.
229 00:17:17.400 ⇒ 00:17:22.149 Miguel de Veyra: What the hell I remote deploy. Yeah, this one we moved to blocked.
230 00:17:25.329 ⇒ 00:17:29.430 Miguel de Veyra: Cause yeah, we’re just gonna send the code to Tim for now
231 00:17:30.390 ⇒ 00:17:38.639 Amber Lin: Okay, maybe that could just be in the backlog, or it doesn’t seem like something very urgent
232 00:17:38.950 ⇒ 00:17:40.840 Miguel de Veyra: How do I see the box again?
233 00:17:45.730 ⇒ 00:17:50.470 Miguel de Veyra: Shit issues? So I guess I go here
234 00:17:59.700 ⇒ 00:18:01.730 Miguel de Veyra: so empty columns. There you go!
235 00:18:02.130 ⇒ 00:18:06.540 Miguel de Veyra: How come Ambra, how come? We can’t see the empty rooms.
236 00:18:07.070 ⇒ 00:18:09.699 Miguel de Veyra: How do I see the backlogs
237 00:18:10.652 ⇒ 00:18:14.680 Amber Lin: It’s on the left. So just scroll scroll on the
238 00:18:14.890 ⇒ 00:18:16.340 Miguel de Veyra: No, that’s my left
239 00:18:16.340 ⇒ 00:18:22.089 Amber Lin: Oh, what? Oh, you’re inactive! So click on all issues on the top, right next to ABC
240 00:18:22.503 ⇒ 00:18:23.330 Miguel de Veyra: Okay. Okay.
241 00:18:23.330 ⇒ 00:18:23.940 Amber Lin: Yeah, we’re in
242 00:18:23.940 ⇒ 00:18:25.639 Miguel de Veyra: Oh, sure. Okay. Okay.
243 00:18:25.910 ⇒ 00:18:26.540 Amber Lin: There we go!
244 00:18:27.330 ⇒ 00:18:29.690 Miguel de Veyra: Okay, yeah, okay, that that makes sense.
245 00:18:30.110 ⇒ 00:18:36.639 Miguel de Veyra: So, okay, this one. I guess we could move this to requirements. Start? No.
246 00:18:40.590 ⇒ 00:18:42.189 Miguel de Veyra: actually, it’s not this one?
247 00:18:43.430 ⇒ 00:18:44.640 Miguel de Veyra: No, not that one!
248 00:18:44.640 ⇒ 00:18:52.880 Amber Lin: Yeah, that’s that’s kinda my thing. It can be deleted like it’s pm, like, it’s
249 00:18:53.630 ⇒ 00:18:56.460 Miguel de Veyra: No, that wasn’t the one we were looking at.
250 00:18:57.030 ⇒ 00:19:00.210 Miguel de Veyra: Wait, wait! Did I hide anything? Show solutions?
251 00:19:00.450 ⇒ 00:19:05.159 Miguel de Veyra: It the one we were looking at? What was the one for Patrick? What the hell
252 00:19:05.160 ⇒ 00:19:06.420 Amber Lin: Oh, yeah.
253 00:19:06.635 ⇒ 00:19:07.279 Miguel de Veyra: Where is it?
254 00:19:07.280 ⇒ 00:19:13.340 Amber Lin: Go to the projects on the left the left bar go projects
255 00:19:14.320 ⇒ 00:19:15.410 Miguel de Veyra: Improving? What before
256 00:19:15.410 ⇒ 00:19:19.270 Amber Lin: Yeah. And then the agent AI architecture is Patrick’s.
257 00:19:19.470 ⇒ 00:19:26.890 Amber Lin: So the top there’s overview and issues. So if you click on issues there, that’s his test.
258 00:19:28.360 ⇒ 00:19:30.160 Miguel de Veyra: Okay, that’s so genital.
259 00:19:31.000 ⇒ 00:19:33.703 Miguel de Veyra: Anyways, let’s get back here. I guess.
260 00:19:34.870 ⇒ 00:19:37.520 Miguel de Veyra: So I guess in progress is kind of clear.
261 00:19:39.420 ⇒ 00:19:42.129 Miguel de Veyra: This one we don’t wanna touch. It’s blocked.
262 00:19:42.531 ⇒ 00:19:43.990 Miguel de Veyra: So it was this one
263 00:19:44.180 ⇒ 00:19:46.760 Miguel de Veyra: the be able to remotely deploy
264 00:19:47.030 ⇒ 00:19:47.990 Amber Lin: Yeah.
265 00:19:47.990 ⇒ 00:19:51.290 Miguel de Veyra: Yeah, we can do this to block, because this is already in
266 00:19:51.290 ⇒ 00:19:55.239 Amber Lin: Okay, let’s move it to blocked and delete this parent issue.
267 00:19:56.780 ⇒ 00:19:59.239 Amber Lin: I can actually, I can. I can do that
268 00:19:59.590 ⇒ 00:20:02.579 Miguel de Veyra: But it has this sent them to Newcom
269 00:20:03.740 ⇒ 00:20:06.149 Amber Lin: It’s kinda it’s kind of time
270 00:20:06.150 ⇒ 00:20:07.629 Miguel de Veyra: Yeah. Yeah. True. True.
271 00:20:08.400 ⇒ 00:20:08.890 Miguel de Veyra: Okay.
272 00:20:08.890 ⇒ 00:20:12.399 Amber Lin: We’ll go into linear and do that
273 00:20:12.660 ⇒ 00:20:15.070 Miguel de Veyra: Make checklist for rollout
274 00:20:15.240 ⇒ 00:20:20.820 Amber Lin: Yeah, that’s me, because I I want this rollout to happen. And it’s
275 00:20:21.560 ⇒ 00:20:27.580 Amber Lin: they don’t know. They don’t know what how to do the rollout like they haven’t gave me the
276 00:20:29.460 ⇒ 00:20:31.800 Miguel de Veyra: Yeah, that’s okay. That’s fine.
277 00:20:31.800 ⇒ 00:20:36.620 Amber Lin: What is project scaffolding? Okay, this stuff is in a backlog
278 00:20:37.723 ⇒ 00:20:39.930 Miguel de Veyra: 1 40.
279 00:20:44.230 ⇒ 00:20:48.780 Miguel de Veyra: I’m also gonna delete a few here. So so
280 00:20:49.550 ⇒ 00:20:54.770 Miguel de Veyra: this is probably gonna be here set up tool to run offer on
281 00:20:54.890 ⇒ 00:20:57.730 Miguel de Veyra: import. No, there should be here.
282 00:20:58.270 ⇒ 00:21:05.330 Miguel de Veyra: Roll out! Roll out port to 25, we added to do escalation, but if fuck
283 00:21:06.600 ⇒ 00:21:13.600 Miguel de Veyra: as a Csr I should be able to escalate to my manager if the bot doesn’t know the answer, so I can feel.
284 00:21:15.240 ⇒ 00:21:17.260 Miguel de Veyra: Are we supposed to do something here?
285 00:21:18.420 ⇒ 00:21:19.110 Amber Lin: Hmm.
286 00:21:19.110 ⇒ 00:21:20.759 Miguel de Veyra: Add escalation, path.
287 00:21:21.860 ⇒ 00:21:28.110 Amber Lin: Oh, I think it’s more of like options
288 00:21:28.470 ⇒ 00:21:32.089 Amber Lin: on how to do it. I don’t think it’s a priority.
289 00:21:32.590 ⇒ 00:21:36.939 Amber Lin: but it’s probably something that will come up as they as they test
290 00:21:37.610 ⇒ 00:21:38.320 Miguel de Veyra: Yeah.
291 00:21:38.540 ⇒ 00:21:38.900 Amber Lin: Yeah.
292 00:21:38.900 ⇒ 00:21:44.930 Miguel de Veyra: Okay? I mean, if the answer isn’t here, it’s kind of escalated already, because it goes here right
293 00:21:45.150 ⇒ 00:21:54.900 Amber Lin: Oh, that’s true. I think I more meant of during the call. So say a Csr is on the call, and then the bot can’t answer. What are they gonna do
294 00:21:57.540 ⇒ 00:22:02.799 Miguel de Veyra: But is that our task, or is that more on their side
295 00:22:03.611 ⇒ 00:22:17.679 Amber Lin: Yeah, maybe, like, I guess the most we can do is to have the bot respond. Oh, you can reach out to this person. But I I suppose in that context they just go search like, go search their database
296 00:22:18.010 ⇒ 00:22:21.930 Amber Lin: or go ask someone like, do what they usually do
297 00:22:22.430 ⇒ 00:22:29.099 Miguel de Veyra: Yeah, let’s move this to wait. What was the name of it again? Let’s hope that to
298 00:22:29.250 ⇒ 00:22:30.989 Miguel de Veyra: ready for development, I guess
299 00:22:30.990 ⇒ 00:22:31.410 Amber Lin: Sure.
300 00:22:31.410 ⇒ 00:22:32.650 Miguel de Veyra: Until they bring it up.
301 00:22:33.020 ⇒ 00:22:37.490 Miguel de Veyra: Benchmark quality score, Patrick, Dublin.
302 00:22:41.030 ⇒ 00:22:48.020 Miguel de Veyra: What so output benchmarks are test quality of that that does, I mean.
303 00:22:48.610 ⇒ 00:22:55.700 Miguel de Veyra: But this one should be sorry. Can you
304 00:22:57.956 ⇒ 00:22:59.419 Miguel de Veyra: Wait. Where is it?
305 00:23:00.090 ⇒ 00:23:06.210 Miguel de Veyra: The waiter? Benchmarks quality score isn’t just, isn’t it? This one locality score
306 00:23:06.680 ⇒ 00:23:17.470 Amber Lin: Wait. What is that? I think? Let me look at the can. You click into the task? Because I think that’s okay. That is not our task. That is Patrick.
307 00:23:18.020 ⇒ 00:23:23.480 Amber Lin: the not the escalation, but the benchmark. That is Patrick. So I think
308 00:23:23.680 ⇒ 00:23:30.380 Amber Lin: let’s go into issues and click on filter. Let’s filter out his product. So we don’t get confused
309 00:23:31.090 ⇒ 00:23:34.470 Amber Lin: right under. ABC, click, filter, click, project
310 00:23:35.409 ⇒ 00:23:38.709 Amber Lin: project under cycle. So go down a little bit more
311 00:23:39.442 ⇒ 00:23:46.680 Amber Lin: project and then we’ll select everything other than his agentic AI architecture. We’ll select everything else
312 00:23:48.830 ⇒ 00:23:50.479 Amber Lin: and no project. Yeah.
313 00:23:53.020 ⇒ 00:23:53.920 Miguel de Veyra: Okay.
314 00:23:54.390 ⇒ 00:23:58.980 Amber Lin: And show sub issues, display
315 00:24:00.300 ⇒ 00:24:02.050 Miguel de Veyra: I am not sure
316 00:24:02.050 ⇒ 00:24:04.429 Amber Lin: Can you click on display and then
317 00:24:04.810 ⇒ 00:24:06.200 Miguel de Veyra: I mean it showed.
318 00:24:08.043 ⇒ 00:24:11.680 Miguel de Veyra: I guess we have to show empty columns, too. There you go
319 00:24:12.060 ⇒ 00:24:12.770 Amber Lin: Oh!
320 00:24:16.680 ⇒ 00:24:19.350 Miguel de Veyra: Okay. So I guess this is a bit more like it
321 00:24:21.410 ⇒ 00:24:26.859 Amber Lin: I’m looking at the improve answer. You readability and usability. Do you think that’s done?
322 00:24:27.300 ⇒ 00:24:28.540 Miguel de Veyra: Sorry which one is it
323 00:24:28.770 ⇒ 00:24:36.219 Amber Lin: I’m I’m on 82. I’m in the backlog right now. So issue 82
324 00:24:38.530 ⇒ 00:24:39.750 Miguel de Veyra: Like, I think that’s
325 00:24:39.750 ⇒ 00:24:40.330 Amber Lin: Button.
326 00:24:41.640 ⇒ 00:24:49.280 Miguel de Veyra: What’s the acceptance? Kitty? Answer should not be too long. Yes, yes should be well structured. Yes.
327 00:24:49.850 ⇒ 00:24:50.639 Amber Lin: Do we then
328 00:24:50.640 ⇒ 00:24:52.500 Miguel de Veyra: I should be able. Yeah.
329 00:24:52.810 ⇒ 00:24:53.370 Amber Lin: Okay.
330 00:24:53.704 ⇒ 00:24:55.040 Miguel de Veyra: It should be done
331 00:24:55.040 ⇒ 00:24:57.350 Amber Lin: Okay, I’ll put it in P.
332 00:24:57.603 ⇒ 00:24:58.619 Miguel de Veyra: Worked on this. Yeah.
333 00:24:58.620 ⇒ 00:25:01.289 Amber Lin: Product, owner, client, review, client, review.
334 00:25:01.430 ⇒ 00:25:04.229 Miguel de Veyra: If okay, I’ll move it there. Great.
335 00:25:04.460 ⇒ 00:25:10.880 Miguel de Veyra: Because if we’re planning to to get it down to like 50 to a hundred dollars for sprint
336 00:25:11.500 ⇒ 00:25:12.940 Amber Lin: Upper cycle.
337 00:25:13.730 ⇒ 00:25:14.750 Amber Lin: Yes.
338 00:25:15.380 ⇒ 00:25:17.529 Miguel de Veyra: That means I can’t work on this at all.
339 00:25:18.730 ⇒ 00:25:28.189 Amber Lin: What is? Can you let me know a little bit more like, what does it look like to have 50 h on a broad like per cycle.
340 00:25:28.530 ⇒ 00:25:35.540 Amber Lin: That means like 5 h per day. What? How much can we get done in 5 h? What does it look like
341 00:25:38.090 ⇒ 00:25:42.909 Miguel de Veyra: 5 h of total time of the team. My, my time included right
342 00:25:43.430 ⇒ 00:25:47.810 Amber Lin: Yeah, everybody. So also my time, I guess, like I spend.
343 00:25:48.150 ⇒ 00:25:53.830 Amber Lin: I guess, in in now less than like 30 min for me.
344 00:25:53.830 ⇒ 00:25:54.680 Miguel de Veyra: Yeah.
345 00:25:55.000 ⇒ 00:25:58.930 Amber Lin: And I think both you and Casey spent like 2 h kinda
346 00:25:58.930 ⇒ 00:26:00.910 Miguel de Veyra: No, no case. You spent a lot of time
347 00:26:00.910 ⇒ 00:26:02.270 Amber Lin: Oh dear!
348 00:26:02.270 ⇒ 00:26:04.000 Miguel de Veyra: Probably 8 HA day.
349 00:26:04.280 ⇒ 00:26:05.630 Amber Lin: Oh no!
350 00:26:05.630 ⇒ 00:26:07.929 Miguel de Veyra: And I probably spend the same amount of ours
351 00:26:07.930 ⇒ 00:26:10.680 Amber Lin: No, no, I mean like what we want to get to. I know
352 00:26:10.680 ⇒ 00:26:11.190 Miguel de Veyra: Yeah, yeah.
353 00:26:11.190 ⇒ 00:26:15.190 Amber Lin: We’re like 8 h per day on this. But what we want to get to is
354 00:26:15.190 ⇒ 00:26:20.549 Miguel de Veyra: Probably have Casey work on this 4 HA day, and then me and you 30 min
355 00:26:20.900 ⇒ 00:26:24.836 Amber Lin: Okay, yeah. So that would be,
356 00:26:25.860 ⇒ 00:26:35.369 Amber Lin: how much like, for example, tasks that we are just doing right now? Can you give me a sense of how much each of them kind of takes like. If we look at the in progress
357 00:26:36.060 ⇒ 00:26:40.589 Amber Lin: and the in progress parts like, how much does do they take? How long do they take
358 00:26:41.630 ⇒ 00:26:47.760 Miguel de Veyra: So this one pro should probably take an hour or 2. It really depends because we’re we’re not really the best data engineers
359 00:26:47.990 ⇒ 00:26:48.540 Amber Lin: Hmm.
360 00:26:48.540 ⇒ 00:26:52.549 Miguel de Veyra: So I think Casey can do it. It’s probably gonna take an hour or 2
361 00:26:53.680 ⇒ 00:26:57.549 Miguel de Veyra: and then executive reporting dashboard. What’s what’s in here again.
362 00:26:57.650 ⇒ 00:27:00.579 Miguel de Veyra: So yeah, that’s basically the same right? Because that’s it.
363 00:27:01.860 ⇒ 00:27:04.810 Miguel de Veyra: So yeah, so this 2 should probably take
364 00:27:05.000 ⇒ 00:27:10.439 Miguel de Veyra: 2, 1 to 2 h, 3 to 4. If we can’t figure out the real stuff
365 00:27:11.080 ⇒ 00:27:11.859 Amber Lin: I’m sorry.
366 00:27:12.270 ⇒ 00:27:23.930 Miguel de Veyra: Yeah. And then, yeah, I think that’s pretty much it. This one’s the update cause. This one was the one we did today. This probably took me and Casey a combined of 8 h to 9 h each.
367 00:27:24.500 ⇒ 00:27:25.900 Amber Lin: To do the
368 00:27:27.330 ⇒ 00:27:31.540 Miguel de Veyra: This 3, the slack alerts. It’s because basically what we did
369 00:27:32.580 ⇒ 00:27:40.539 Miguel de Veyra: Was we. We edited this, tested it a bit, and then we created like a new agent out here
370 00:27:41.830 ⇒ 00:27:46.080 Miguel de Veyra: to basically analyze it and send it to slack or g sheets
371 00:27:46.840 ⇒ 00:27:50.590 Amber Lin: I see. So it’s a essentially a new workflow.
372 00:27:50.590 ⇒ 00:27:53.200 Miguel de Veyra: Yeah, and additional node
373 00:27:53.610 ⇒ 00:27:54.510 Amber Lin: I see.
374 00:27:54.510 ⇒ 00:27:58.640 Miguel de Veyra: Okay, so this one, yeah, this took this 3 took 9 h
375 00:27:59.740 ⇒ 00:28:03.939 Miguel de Veyra: in total. And then this one. So it’s like 1112 h in total.
376 00:28:04.300 ⇒ 00:28:05.780 Amber Lin: We’re like, yeah.
377 00:28:06.030 ⇒ 00:28:10.729 Amber Lin: So we can’t be doing that much or that that kind of would have been
378 00:28:11.020 ⇒ 00:28:14.040 Amber Lin: almost the total of this week. Because
379 00:28:15.230 ⇒ 00:28:18.569 Amber Lin: if we technically have 25 h per week
380 00:28:18.570 ⇒ 00:28:19.260 Miguel de Veyra: Yeah.
381 00:28:19.480 ⇒ 00:28:24.650 Amber Lin: And that took already like 3.rd How many hours total have we spent already?
382 00:28:24.650 ⇒ 00:28:27.730 Miguel de Veyra: Probably I I’d say 12 to 13
383 00:28:28.230 ⇒ 00:28:31.490 Amber Lin: 12 to 13. So we we have half
384 00:28:31.490 ⇒ 00:28:32.880 Miguel de Veyra: And that’s not counting. Yesterday
385 00:28:33.940 ⇒ 00:28:35.060 Amber Lin: I’m sorry.
386 00:28:35.060 ⇒ 00:28:38.920 Miguel de Veyra: And it wasn’t counting yesterday, cause this, this one was only today.
387 00:28:40.100 ⇒ 00:28:43.270 Miguel de Veyra: So counting yesterday, we’re probably already at 20
388 00:28:44.000 ⇒ 00:28:49.639 Amber Lin: Okay. So honestly, I feel like this week. This is all we’re gonna give to know
389 00:28:49.910 ⇒ 00:28:51.240 Miguel de Veyra: Yeah, I think.
390 00:28:51.240 ⇒ 00:28:52.190 Amber Lin: He said
391 00:28:52.360 ⇒ 00:28:52.890 Miguel de Veyra: Yeah.
392 00:28:52.890 ⇒ 00:28:57.239 Amber Lin: So kind of said today when I asked her, What do you want from us?
393 00:28:57.970 ⇒ 00:29:03.280 Miguel de Veyra: That’s why I think the way we should do it is probably because it’s every 2 weeks right?
394 00:29:03.540 ⇒ 00:29:08.580 Miguel de Veyra: So like around Thursday before the call even.
395 00:29:08.820 ⇒ 00:29:13.370 Miguel de Veyra: or on the call we decide, hey, what’s the priorities for the next cycle?
396 00:29:13.940 ⇒ 00:29:17.509 Miguel de Veyra: We’re just gonna talk to them a little bit about
397 00:29:17.730 ⇒ 00:29:21.240 Amber Lin: That I know he’s gonna talk with the execs. But
398 00:29:21.360 ⇒ 00:29:26.409 Amber Lin: I think we are gonna set the priorities, and he’s gonna tell them about our hours
399 00:29:26.410 ⇒ 00:29:28.899 Miguel de Veyra: Yeah, yeah, because yeah.
400 00:29:29.120 ⇒ 00:29:34.460 Miguel de Veyra: because I think that should be the way to do it. Because right now, the reason we got into this pass
401 00:29:35.450 ⇒ 00:29:39.749 Miguel de Veyra: It’s because of scope, creep like it just grew and grew. We already have a voice agent for them
402 00:29:40.830 ⇒ 00:29:52.239 Amber Lin: Yeah, yeah, my bad, because I think I for me, it was like, Oh, I only have this client. Okay, what do they want? Okay, we can do that. And then we can do that too. And we can do that too. So it really got really messy
403 00:29:52.540 ⇒ 00:29:58.580 Miguel de Veyra: Yeah, because ideally, I think with them, long term wants me also gone on development side, like fully
404 00:29:59.050 ⇒ 00:30:06.160 Miguel de Veyra: focus on recruitment. And I think coaching, which I’m trying to do with Casey and practicing with him because we’re close friends
405 00:30:07.000 ⇒ 00:30:08.869 Miguel de Veyra: So it’s a bit open. But yeah.
406 00:30:10.430 ⇒ 00:30:13.470 Amber Lin: We? We’re you’re practicing with Casey on
407 00:30:13.470 ⇒ 00:30:18.379 Miguel de Veyra: Coaching him on how to do so. That’s why we hop on a call like 3 to 4 HA day.
408 00:30:19.666 ⇒ 00:30:25.700 Amber Lin: That’s great cause. He will be taking over a lot of development stuff that you do. So
409 00:30:25.700 ⇒ 00:30:26.480 Miguel de Veyra: Yeah, yeah.
410 00:30:26.480 ⇒ 00:30:29.460 Amber Lin: It’s nice to have recalling him
411 00:30:30.670 ⇒ 00:30:33.739 Miguel de Veyra: I’m probably gonna spend like 2 HA day or 3 HA day.
412 00:30:33.980 ⇒ 00:30:41.390 Miguel de Veyra: maybe 2, 2 h, like just hopping on calls with developers, and then I think we should probably hop on a call. Are you already on full time?
413 00:30:41.980 ⇒ 00:30:49.999 Amber Lin: Yeah, I’m on full time. I’m waiting for them to send me the contract. But honestly, I’ve since I started I’ve been working 8 HA day
414 00:30:50.000 ⇒ 00:30:50.340 Miguel de Veyra: Exactly.
415 00:30:50.340 ⇒ 00:30:51.748 Amber Lin: There’s not really a difference
416 00:30:52.528 ⇒ 00:30:54.520 Miguel de Veyra: Yeah, I think, yeah.
417 00:30:55.650 ⇒ 00:31:01.330 Miguel de Veyra: yeah, I think we should probably spend like at least 15 to 20 min before we end the day.
418 00:31:01.690 ⇒ 00:31:02.410 Amber Lin: Hmm.
419 00:31:02.866 ⇒ 00:31:06.520 Miguel de Veyra: I think the idea I have there is
420 00:31:07.370 ⇒ 00:31:16.139 Miguel de Veyra: For people who don’t work during the hours we have, for example, Jana and some other people who might want to work earlier. We still have, like the tasks for them, right
421 00:31:16.300 ⇒ 00:31:16.660 Amber Lin: Hmm.
422 00:31:16.660 ⇒ 00:31:17.790 Miguel de Veyra: For the next day.
423 00:31:18.633 ⇒ 00:31:28.129 Miguel de Veyra: Yeah, I think that’s something we should definitely do, probably around 2 to 3 am. Like, it doesn’t have to be a call, maybe. Just you know a chat. Hey? Here’s what the team did today.
424 00:31:28.430 ⇒ 00:31:29.170 Amber Lin: Sure
425 00:31:29.500 ⇒ 00:31:34.499 Amber Lin: I mean, as long as I’m not in other meetings I’m happy to jump on a call, because this has been real helpful
426 00:31:34.890 ⇒ 00:31:42.200 Miguel de Veyra: Because I think that that way. I can also help Jana out, because right now we can’t really give her a task, because at the end of the day.
427 00:31:42.620 ⇒ 00:31:46.480 Miguel de Veyra: At the at the end of her day we just start working.
428 00:31:46.740 ⇒ 00:31:54.210 Miguel de Veyra: and then we give out tasks, and then every task that’s there is, we try to finish it right? So tomorrow she doesn’t really have a job to do
429 00:31:55.940 ⇒ 00:31:59.950 Amber Lin: Tomorrow. Yeah, she’s joining tomorrow. And we’re
430 00:32:00.140 ⇒ 00:32:02.439 Amber Lin: like, what? What do you think?
431 00:32:02.790 ⇒ 00:32:05.850 Amber Lin: Yeah, what do you think she can do when she joins tomorrow?
432 00:32:08.150 ⇒ 00:32:13.059 Miguel de Veyra: I am not sure to be honest, because we don’t cause. I want her to work on the internal stuff, but
433 00:32:13.660 ⇒ 00:32:15.940 Miguel de Veyra: I think we’re still cleaning that stuff. Yeah.
434 00:32:16.200 ⇒ 00:32:18.150 Amber Lin: So it’s kind of on us, too.
435 00:32:22.280 ⇒ 00:32:23.520 Miguel de Veyra: Yeah.
436 00:32:24.970 ⇒ 00:32:29.040 Miguel de Veyra: And then, yeah, but yeah, I think that’s pretty much it. It’s already 3 Am. My time.
437 00:32:29.180 ⇒ 00:32:32.070 Miguel de Veyra: I don’t think Utop’s gonna come anytime soon. Anyways.
438 00:32:32.070 ⇒ 00:32:48.709 Amber Lin: Yeah, okay, just let’s just say we’ll meet tomorrow. I have time to meet tomorrow earlier, like my 8 Am. Which is kind of a few like an hour or 2 after our AI meeting, so it’s more likely hour for you, and I’ll jump to. I need to jump to the Pm. Meeting, I totally forgot
439 00:32:48.710 ⇒ 00:32:49.790 Miguel de Veyra: Okay. Okay.
440 00:32:49.790 ⇒ 00:32:53.639 Amber Lin: Okay, thank you, Miguel. I’ll work on it more alrighty. Bye-bye.
441 00:32:53.640 ⇒ 00:32:54.050 Miguel de Veyra: Bye, bye.
442 00:32:54.050 ⇒ 00:32:54.770 Amber Lin: Good night.