Meeting Title: ABC | Sprint Retro Date: 2025-04-04 Meeting participants: Miguel De Veyra, Casie Aviles, Amber Lin
WEBVTT
1 00:00:09.060 ⇒ 00:00:11.050 Miguel de Veyra: Or is your father
2 00:00:12.600 ⇒ 00:00:13.890 Amber Lin: Hello!
3 00:00:13.890 ⇒ 00:00:15.009 Miguel de Veyra: Hello guys.
4 00:00:16.490 ⇒ 00:00:17.300 Amber Lin: So
5 00:00:20.140 ⇒ 00:00:23.550 Amber Lin: What did? What did we do this past 2 weeks?
6 00:00:24.630 ⇒ 00:00:26.469 Miguel de Veyra: Forgot what we did last week.
7 00:00:27.912 ⇒ 00:00:29.639 Miguel de Veyra: I’m not gonna lie
8 00:00:30.640 ⇒ 00:00:31.180 Casie Aviles: Hello!
9 00:00:31.500 ⇒ 00:00:32.180 Miguel de Veyra: I forgot.
10 00:00:32.189 ⇒ 00:00:37.079 Casie Aviles: Sorry. I’m just checking, checking my clock if I how much we gave.
11 00:00:37.920 ⇒ 00:00:38.500 Casie Aviles: See you
12 00:00:39.100 ⇒ 00:00:40.440 Amber Lin: Hours.
13 00:00:41.200 ⇒ 00:00:42.080 Casie Aviles: Or
14 00:00:44.190 ⇒ 00:00:46.140 Miguel de Veyra: Or do you check it? Is it on dashboard?
15 00:00:47.768 ⇒ 00:00:50.349 Amber Lin: Wait! What you? What did you say?
16 00:00:50.350 ⇒ 00:00:53.069 Miguel de Veyra: Like how to check the arts. Wait, let me check
17 00:00:53.410 ⇒ 00:01:04.310 Amber Lin: You can go to either timesheet, which is right above where you log your time, or maybe go to reports. I’m gonna I I can go check the reports, and I’ll see
18 00:01:04.550 ⇒ 00:01:08.250 Miguel de Veyra: Okay, okay, I think I found it. I only spent 9 h
19 00:01:09.220 ⇒ 00:01:10.960 Amber Lin: For the past 2 weeks.
20 00:01:11.340 ⇒ 00:01:14.339 Amber Lin: Okay, that’s a that’s a really good sign. Right?
21 00:01:14.780 ⇒ 00:01:25.039 Amber Lin: So this week this week, I don’t know if if your hours are up to date last week.
22 00:01:25.560 ⇒ 00:01:31.038 Amber Lin: Okay? Patrick spent time, I don’t know why, where Jonah spent her time.
23 00:01:31.460 ⇒ 00:01:32.820 Miguel de Veyra: Did she work this week
24 00:01:32.980 ⇒ 00:01:35.310 Amber Lin: No, I’m looking at last, because this is
25 00:01:35.730 ⇒ 00:01:41.980 Amber Lin: 2 week sprint right? So she had logged an hour and 20 min. I have no clue where that went
26 00:01:43.150 ⇒ 00:01:45.729 Miguel de Veyra: I don’t know. I haven’t spoken to her this week.
27 00:01:45.730 ⇒ 00:01:50.839 Amber Lin: Yeah, I worked 18 HI don’t know where that went, either.
28 00:01:52.820 ⇒ 00:01:54.180 Miguel de Veyra: Probably don’t say that to me
29 00:01:56.710 ⇒ 00:02:02.420 Amber Lin: Like, I know, I did work. But it’s 18 h, for Pm. Is a long time.
30 00:02:05.380 ⇒ 00:02:10.600 Amber Lin: Okay, so that’s and that’s that’s to.
31 00:02:11.670 ⇒ 00:02:18.360 Amber Lin: And this week. 14 now is a little bit a little bit more reasonable, and
32 00:02:20.080 ⇒ 00:02:23.020 Miguel de Veyra: By the way, we can see your screen. We can only see the option
33 00:02:23.491 ⇒ 00:02:26.319 Amber Lin: Let me change what I share.
34 00:02:28.150 ⇒ 00:02:34.570 Amber Lin: Yeah, I mean, last last week.
35 00:02:35.260 ⇒ 00:02:44.570 Amber Lin: But huh, yeah, last week we spent 32 h on ABC.
36 00:02:44.890 ⇒ 00:02:49.569 Amber Lin: That was before we did any allocation. So we were going crazy
37 00:02:49.570 ⇒ 00:02:50.260 Miguel de Veyra: Yeah.
38 00:02:50.580 ⇒ 00:02:53.600 Amber Lin: And so this week it was.
39 00:02:54.120 ⇒ 00:02:58.030 Amber Lin: Oh, my gosh! 63 h
40 00:02:58.670 ⇒ 00:02:59.650 Miguel de Veyra: This week.
41 00:02:59.940 ⇒ 00:03:02.160 Amber Lin: No last last week. How is that
42 00:03:02.160 ⇒ 00:03:03.000 Miguel de Veyra: Not yet
43 00:03:03.710 ⇒ 00:03:07.999 Amber Lin: I suppose it is okay. 63. And then
44 00:03:08.440 ⇒ 00:03:11.619 Miguel de Veyra: I think that’s fine, because last week we didn’t really tell
45 00:03:11.620 ⇒ 00:03:12.210 Amber Lin: Yeah.
46 00:03:12.940 ⇒ 00:03:13.620 Amber Lin: Add, anything.
47 00:03:13.620 ⇒ 00:03:14.740 Miguel de Veyra: Yeah, yeah.
48 00:03:14.740 ⇒ 00:03:18.599 Amber Lin: This week. It was really good like, this is what we wanted
49 00:03:18.820 ⇒ 00:03:20.440 Miguel de Veyra: Yeah, basically.
50 00:03:20.800 ⇒ 00:03:23.720 Miguel de Veyra: Wait, Casey, you didn’t spend fucking 4 h, did you?
51 00:03:26.007 ⇒ 00:03:26.959 Amber Lin: I don’t know
52 00:03:26.960 ⇒ 00:03:28.343 Casie Aviles: You love to get it.
53 00:03:28.620 ⇒ 00:03:29.899 Casie Aviles: That’s what I logged
54 00:03:30.540 ⇒ 00:03:31.080 Amber Lin: Okay.
55 00:03:31.080 ⇒ 00:03:32.490 Miguel de Veyra: Is this accurate?
56 00:03:33.820 ⇒ 00:03:35.039 Amber Lin: Ask Casey
57 00:03:35.040 ⇒ 00:03:37.909 Miguel de Veyra: Oh, no, because we did it together right
58 00:03:38.070 ⇒ 00:03:40.979 Casie Aviles: Yeah, we spent just one day on ABC stuff.
59 00:03:41.300 ⇒ 00:03:49.649 Casie Aviles: And after that, yeah, and the rest of the other times for meetings for ABC or, Yeah.
60 00:03:49.650 ⇒ 00:03:54.759 Miguel de Veyra: Actually pretty. Yeah, I did log my meetings, but I don’t. I don’t really care. I think it’s fine.
61 00:03:55.810 ⇒ 00:04:03.930 Miguel de Veyra: Oh, I think this is actually very good, because because Annie shouldn’t have been here. She wasn’t part part of our plan.
62 00:04:04.270 ⇒ 00:04:10.629 Amber Lin: I know. Annie also started like around here, like later Wednesday
63 00:04:10.630 ⇒ 00:04:12.260 Miguel de Veyra: Yeah, so that is pretty good.
64 00:04:12.260 ⇒ 00:04:17.100 Amber Lin: This is good. I feel like she has unlocked everything, or she only worked 2 h, which
65 00:04:17.600 ⇒ 00:04:19.020 Miguel de Veyra: It’s probably the setup.
66 00:04:20.069 ⇒ 00:04:21.149 Amber Lin: Mostly set up.
67 00:04:21.359 ⇒ 00:04:23.559 Amber Lin: Okay. So that’s that
68 00:04:23.560 ⇒ 00:04:24.850 Miguel de Veyra: This is good.
69 00:04:25.160 ⇒ 00:04:29.520 Amber Lin: Yeah, I want her to ramp up to more like 5 h.
70 00:04:30.595 ⇒ 00:04:31.160 Amber Lin: But
71 00:04:31.160 ⇒ 00:04:33.910 Miguel de Veyra: But the thing is amber. I think Utam’s gonna question. You
72 00:04:34.850 ⇒ 00:04:47.370 Amber Lin: I know, I know, but a lot of this week is like I have 2 slides I need to show I need to. I wrote all the plans that I need to send them.
73 00:04:48.430 ⇒ 00:04:54.480 Amber Lin: Why, as if 12 h! What did I? Oh, my God!
74 00:04:55.909 ⇒ 00:04:56.829 Amber Lin: Huh!
75 00:04:57.909 ⇒ 00:04:58.289 Miguel de Veyra: Oh!
76 00:04:58.920 ⇒ 00:04:59.970 Amber Lin: Monday.
77 00:05:01.320 ⇒ 00:05:02.250 Amber Lin: So
78 00:05:02.830 ⇒ 00:05:09.160 Amber Lin: by the way, I I log very specifically, you don’t have to, because I have a lot of different projects
79 00:05:09.160 ⇒ 00:05:10.648 Miguel de Veyra: I can’t do that.
80 00:05:11.020 ⇒ 00:05:12.260 Amber Lin: I know. So
81 00:05:12.890 ⇒ 00:05:21.080 Amber Lin: that yeah, I worked 9 h on Monday. So maybe that’s why that’s where all of it came from.
82 00:05:21.320 ⇒ 00:05:22.490 Amber Lin: Tickets.
83 00:05:22.650 ⇒ 00:05:26.390 Amber Lin: Okay? Cause we got. Oh, I was onboarding Annie.
84 00:05:28.840 ⇒ 00:05:30.660 Amber Lin: Ever checks!
85 00:05:31.630 ⇒ 00:05:35.230 Amber Lin: Oh, what did I? What?
86 00:05:36.080 ⇒ 00:05:36.640 Amber Lin: And
87 00:05:37.020 ⇒ 00:05:39.509 Miguel de Veyra: Oh, that. Yeah.
88 00:05:40.420 ⇒ 00:05:45.109 Amber Lin: Cause I I needed to get the rollout. So this week it’s it’s mostly me
89 00:05:45.240 ⇒ 00:05:51.809 Amber Lin: like ABC. Is mostly me pushing the rollout. So I guess this is fine, because total hours were good.
90 00:05:52.220 ⇒ 00:05:58.960 Amber Lin: Okay, let’s recap what we actually did this week.
91 00:05:59.820 ⇒ 00:06:02.220 Amber Lin: The last this sprint
92 00:06:11.080 ⇒ 00:06:12.940 Casie Aviles: Can we see that on linear or
93 00:06:13.170 ⇒ 00:06:15.539 Miguel de Veyra: Can we check your screen? I’m sorry.
94 00:06:16.725 ⇒ 00:06:17.330 Amber Lin: Yes.
95 00:06:17.946 ⇒ 00:06:24.670 Amber Lin: How do I share my entire screen? Desktop so linear.
96 00:06:26.830 ⇒ 00:06:29.290 Amber Lin: cycles. Oh, we can go here.
97 00:06:30.130 ⇒ 00:06:31.669 Amber Lin: Current cycle.
98 00:06:32.680 ⇒ 00:06:39.260 Amber Lin: Oh, yeah, we’re pretty much done that it’s done. She did not update this
99 00:06:44.130 ⇒ 00:06:46.940 Amber Lin: Oh, wait! No, it’s not reviewed
100 00:06:47.870 ⇒ 00:06:49.199 Miguel de Veyra: Pr review.
101 00:06:50.230 ⇒ 00:06:54.020 Amber Lin: Onboard client data teams, though in progress.
102 00:06:54.520 ⇒ 00:07:00.190 Amber Lin: This will get done in the next in the in today.
103 00:07:00.300 ⇒ 00:07:02.000 Amber Lin: Da da da da
104 00:07:02.000 ⇒ 00:07:04.850 Miguel de Veyra: Think we’ve already on board on boarded data team or not yet
105 00:07:06.970 ⇒ 00:07:16.839 Amber Lin: we need to give them permission. I think Casey already gave them real permissions. Haven’t? Oh, I need to text them
106 00:07:17.090 ⇒ 00:07:20.770 Amber Lin: the good.
107 00:07:23.200 ⇒ 00:07:27.599 Amber Lin: Yeah, I need to text them that we gave them access.
108 00:07:27.750 ⇒ 00:07:30.069 Amber Lin: So let me just put. I’ll
109 00:07:30.863 ⇒ 00:07:37.499 Casie Aviles: Brian accepted the invite. Let me check about with low David.
110 00:07:37.740 ⇒ 00:07:38.600 Casie Aviles: No, not yet.
111 00:07:41.140 ⇒ 00:07:43.490 Casie Aviles: David hasn’t accepted the invite
112 00:07:44.030 ⇒ 00:07:46.740 Miguel de Veyra: That’s ABC people, right?
113 00:07:47.090 ⇒ 00:07:48.020 Casie Aviles: Yes, yes.
114 00:07:48.020 ⇒ 00:07:49.089 Miguel de Veyra: Okay. Okay.
115 00:07:56.690 ⇒ 00:08:04.199 Amber Lin: That is that we can probably move to the next cycle.
116 00:08:06.800 ⇒ 00:08:13.820 Amber Lin: Cycle for yeah, that’s Utam. That’s not something we can do
117 00:08:15.690 ⇒ 00:08:18.759 Miguel de Veyra: Yeah, because we’re gonna be working with their data team, too. Right?
118 00:08:18.760 ⇒ 00:08:22.739 Amber Lin: Yeah, and that’s just mostly gonna be Annie. So Annie will take care of that
119 00:08:24.270 ⇒ 00:08:27.529 Miguel de Veyra: Will she be joining the daily cost, too? Or no, not really
120 00:08:27.530 ⇒ 00:08:32.509 Amber Lin: I feel like there’s no point because we’re just looking at errors. There’s nothing she can do there
121 00:08:33.020 ⇒ 00:08:33.899 Miguel de Veyra: Oh, okay. Okay.
122 00:08:33.909 ⇒ 00:08:34.929 Amber Lin: I feel like
123 00:08:35.759 ⇒ 00:08:44.319 Amber Lin: I could meet with Janice, and then I could hop on. Maybe the AI team call. We kind of update each other on progress
124 00:08:44.889 ⇒ 00:08:48.119 Amber Lin: about AI stuff. So maybe I’ll have her join
125 00:08:48.259 ⇒ 00:08:53.939 Amber Lin: laid. I don’t know, because if I’m talking with Janice there’s no point of you guys being there
126 00:08:54.210 ⇒ 00:08:55.050 Miguel de Veyra: Yep. Yep.
127 00:08:55.050 ⇒ 00:08:55.790 Amber Lin: Yeah.
128 00:08:57.320 ⇒ 00:09:01.150 Miguel de Veyra: Okay, yeah. So last week, what? What did we work on
129 00:09:01.950 ⇒ 00:09:04.419 Amber Lin: Is this done, Casey? Did did she talk to you
130 00:09:04.420 ⇒ 00:09:06.830 Casie Aviles: Oh, yeah, yeah, she did. She did. That should be done.
131 00:09:07.290 ⇒ 00:09:09.229 Amber Lin: Okay, that’s great
132 00:09:10.410 ⇒ 00:09:18.120 Amber Lin: that we haven’t viewed it. But I’ll just say it’s done. I trust you guys, I think she’s wrapped up.
133 00:09:18.540 ⇒ 00:09:21.049 Amber Lin: I think we also did that.
134 00:09:22.390 ⇒ 00:09:28.280 Amber Lin: That’s done better
135 00:09:28.280 ⇒ 00:09:29.139 Casie Aviles: I’m not sure
136 00:09:29.560 ⇒ 00:09:35.070 Amber Lin: It is added, I just think we should check if it’s accurate, but it is pretty much done.
137 00:09:36.130 ⇒ 00:09:43.380 Amber Lin: and that’s also pretty much done. But it’s not good, but it’s done.
138 00:09:45.710 ⇒ 00:09:46.889 Amber Lin: Yeah, it’s it’s very.
139 00:09:47.960 ⇒ 00:09:53.500 Amber Lin: It’s very ugly. But and it’s not very useful, but it’s something.
140 00:09:53.820 ⇒ 00:09:59.589 Amber Lin: So I think it satisfies my point of mostly this was just to make her learn real canvas
141 00:10:00.050 ⇒ 00:10:00.830 Miguel de Veyra: Okay. Okay.
142 00:10:00.830 ⇒ 00:10:08.859 Amber Lin: Is, if it’s just learning, it’s going to take her forever. I’m going to delete that. So we have one last task to worry about
143 00:10:09.562 ⇒ 00:10:14.869 Amber Lin: so I’m doing that. So on for client team. Real canvas.
144 00:10:15.400 ⇒ 00:10:21.380 Amber Lin: Yeah, probably probably will have to move this if they don’t respond today.
145 00:10:21.610 ⇒ 00:10:24.570 Amber Lin: Incorrect answers, they do
146 00:10:24.570 ⇒ 00:10:26.030 Casie Aviles: Not sure what that one is
147 00:10:26.940 ⇒ 00:10:28.969 Amber Lin: Yeah, it’s mostly like
148 00:10:30.020 ⇒ 00:10:37.770 Amber Lin: checking Qa for the golden data sheet to make sure everything’s right. I don’t think she did this at all.
149 00:10:40.360 ⇒ 00:10:45.740 Amber Lin: Okay, alright. So we what do we do?
150 00:10:46.140 ⇒ 00:10:55.480 Amber Lin: Let’s go down here save tactics. That’s Patrick. So Patrick did some improvements, told us some good stuff.
151 00:10:57.150 ⇒ 00:11:06.139 Amber Lin: we automated the data update added the make sure that thumbs up thumbs down data. Was there lot of dashboard work, I think.
152 00:11:06.940 ⇒ 00:11:09.340 Amber Lin: and a lot of
153 00:11:11.120 ⇒ 00:11:19.340 Amber Lin: and we rolled it out, which was awesome. We did a lot of updates here and there.
154 00:11:22.860 ⇒ 00:11:31.490 Amber Lin: Client channel. So we got all of that in place. We met with the data team onboarded Annie.
155 00:11:33.310 ⇒ 00:11:37.939 Amber Lin: do a lot of operational stuff and the Evals and errors.
156 00:11:38.180 ⇒ 00:11:46.070 Amber Lin: Right? That’s the that’s right. That’s what mostly we worked on
157 00:11:46.660 ⇒ 00:11:47.360 Casie Aviles: Yes.
158 00:11:48.150 ⇒ 00:11:55.840 Amber Lin: Yeah, dashboard old improvements error.
159 00:11:56.120 ⇒ 00:12:01.740 Amber Lin: Well on board with adding my journal.
160 00:12:07.220 ⇒ 00:12:20.870 Amber Lin: Alright, yeah, I think what? Let’s say, what went well, what would we like to improve.
161 00:12:22.760 ⇒ 00:12:28.060 Amber Lin: and we’ll just go around the circle. Miko. You start. What what do you think went? Well.
162 00:12:30.330 ⇒ 00:12:35.779 Miguel de Veyra: Alright! Give me a moment working. I need to schedule a few interviews
163 00:12:35.950 ⇒ 00:12:37.284 Amber Lin: Oh, okay, sure.
164 00:12:37.730 ⇒ 00:12:38.450 Miguel de Veyra: Oh, wow!
165 00:12:39.090 ⇒ 00:12:40.370 Amber Lin: It’s okay.
166 00:12:41.010 ⇒ 00:12:47.989 Miguel de Veyra: 1 12 was, I think, we were able to answer very promptly and add every request they did
167 00:12:52.796 ⇒ 00:13:03.180 Miguel de Veyra: And then I think, yeah, we are. Is it just for this pretty good in the hours? Yeah, we did. We stopped pretty much on correct hours, I would say
168 00:13:03.620 ⇒ 00:13:04.260 Amber Lin: Hmm.
169 00:13:04.680 ⇒ 00:13:06.500 Miguel de Veyra: Yeah, so we were very.
170 00:13:07.790 ⇒ 00:13:12.960 Miguel de Veyra: I don’t know how you word it. Sorry, not my 1st English, is it?
171 00:13:13.250 ⇒ 00:13:15.460 Amber Lin: It’s okay. It’s not my 1st language, either.
172 00:13:16.060 ⇒ 00:13:18.780 Miguel de Veyra: Stop leading on hours, and then I think
173 00:13:18.800 ⇒ 00:13:19.194 Amber Lin: Right?
174 00:13:19.590 ⇒ 00:13:22.199 Miguel de Veyra: I think our efficiency went up by a lot
175 00:13:23.800 ⇒ 00:13:26.000 Miguel de Veyra: Yeah, because the like, you know.
176 00:13:26.830 ⇒ 00:13:31.199 Miguel de Veyra: cause we created the channel with the slack channel with Janice, right?
177 00:13:31.800 ⇒ 00:13:35.290 Miguel de Veyra: So we can like communicate very fast. And then, yeah.
178 00:13:36.340 ⇒ 00:13:47.089 Miguel de Veyra: then, I think it’s pretty much done. What? What? What’s pretty much done like we fix the error logs and stuff. The dashboard looks pretty good now see it! And then we on boarded the people
179 00:13:47.860 ⇒ 00:13:53.930 Amber Lin: Yeah, I think we fix the errors and fixed bat tickets
180 00:13:54.110 ⇒ 00:13:57.547 Amber Lin: because we got stolen pretty bad.
181 00:13:58.480 ⇒ 00:14:01.369 Miguel de Veyra: Yeah, added technical requirements.
182 00:14:01.370 ⇒ 00:14:03.739 Amber Lin: Yeah. Bad tickets.
183 00:14:05.460 ⇒ 00:14:13.350 Amber Lin: Fixed error, dash or not.
184 00:14:13.690 ⇒ 00:14:18.810 Amber Lin: Great, not usable view, not accurate.
185 00:14:19.610 ⇒ 00:14:21.180 Amber Lin: Usable.
186 00:14:21.420 ⇒ 00:14:22.470 Amber Lin: Fixed?
187 00:14:28.840 ⇒ 00:14:29.646 Amber Lin: Yeah.
188 00:14:31.600 ⇒ 00:14:32.540 Amber Lin: I mean.
189 00:14:32.660 ⇒ 00:14:39.079 Amber Lin: okay, Casey, what do you? What do you think? What went? Well, when did it go? Well for a lot past 2 weeks? Well, how was it for you
190 00:14:40.430 ⇒ 00:14:46.959 Casie Aviles: I mean, it’s pretty much what’s already been mentioned. I’m trying to think if there’s anything else.
191 00:14:49.780 ⇒ 00:14:55.200 Casie Aviles: Hmm, nothing really comes to mind, you guys pretty much wrote it already
192 00:14:56.130 ⇒ 00:15:01.499 Amber Lin: I mean, most of the hiccups were last week right. We had to
193 00:15:01.690 ⇒ 00:15:06.580 Amber Lin: spit out a dashboard really fast, like we had to make you spend
194 00:15:06.820 ⇒ 00:15:07.759 Casie Aviles: Oh, yeah, right?
195 00:15:07.760 ⇒ 00:15:09.070 Amber Lin: All the time
196 00:15:13.680 ⇒ 00:15:14.310 Miguel de Veyra: Yeah.
197 00:15:15.350 ⇒ 00:15:15.860 Amber Lin: Oh!
198 00:15:15.860 ⇒ 00:15:17.160 Casie Aviles: I’m on the dashboard.
199 00:15:17.260 ⇒ 00:15:18.120 Casie Aviles: Yes.
200 00:15:18.120 ⇒ 00:15:24.239 Amber Lin: Right and also we kind of work.
201 00:15:24.580 ⇒ 00:15:35.829 Amber Lin: God, I mean, I guess we didn’t prioritize the dashboard enough, I suppose, at the start of last week
202 00:15:39.110 ⇒ 00:15:42.370 Amber Lin: the 1st last week.
203 00:15:43.710 ⇒ 00:15:46.440 Amber Lin: Moonflower things
204 00:15:49.550 ⇒ 00:15:51.360 Amber Lin: and bad tickets
205 00:15:52.110 ⇒ 00:15:53.340 Casie Aviles: Oh, yeah.
206 00:15:53.490 ⇒ 00:15:55.819 Amber Lin: Have bad tickets.
207 00:15:59.510 ⇒ 00:16:06.200 Amber Lin: So that would be low visibility.
208 00:16:16.790 ⇒ 00:16:17.760 Amber Lin: do.
209 00:16:22.770 ⇒ 00:16:28.070 Amber Lin: And and then we also like did too much.
210 00:16:32.200 ⇒ 00:16:35.800 Amber Lin: And I guess this week.
211 00:16:41.750 ⇒ 00:16:45.040 Amber Lin: Awesome media location.
212 00:16:45.360 ⇒ 00:16:54.349 Amber Lin: Yeah, that’s good. And I know we kind of groomed the backlog for next week, so we’ll save that for the planning meeting.
213 00:16:55.546 ⇒ 00:17:01.800 Amber Lin: Anything particularly that what we want to keep up or improve on for next week.
214 00:17:02.880 ⇒ 00:17:04.359 Amber Lin: The next sprint
215 00:17:16.790 ⇒ 00:17:19.689 Miguel de Veyra: Sorry is this in general or just? ABC,
216 00:17:20.580 ⇒ 00:17:34.900 Amber Lin: For ABC. But we’re the AI team, and we’ve kind of work on both. But this is for ABC. What do we want to keep up next week. What do we want to do better next week? So next week or next sprint like, how do we want to look like
217 00:17:37.250 ⇒ 00:17:43.719 Miguel de Veyra: Yeah, improve is because right now, I don’t know, like the priority for next spring. To be honest, like, what do we need to work on? Because
218 00:17:43.720 ⇒ 00:17:52.499 Amber Lin: Yeah. Oh, I mean, how we work, I guess, because this week say an example, something we want to keep up is we want to keep the hours
219 00:17:52.660 ⇒ 00:17:56.040 Miguel de Veyra: Yeah, yeah, that one. So keep keep the hours.
220 00:17:58.190 ⇒ 00:17:59.870 Miguel de Veyra: What else do we need to do?
221 00:18:01.010 ⇒ 00:18:10.750 Miguel de Veyra: I don’t know. I think that’s it. Like, keep communicating with Janice on, you know. Basically, I think improve. Keep up is monitor. The Csr feedback
222 00:18:11.970 ⇒ 00:18:14.180 Miguel de Veyra: Right, and then work around that
223 00:18:14.550 ⇒ 00:18:21.630 Casie Aviles: Yeah. And whenever they send, like the thumbs down and some detailed feedback or like, whenever we get errors, should be able to
224 00:18:22.430 ⇒ 00:18:24.269 Casie Aviles: top of that pretty quickly.
225 00:18:25.315 ⇒ 00:18:30.530 Amber Lin: Yeah. And then what else
226 00:18:30.690 ⇒ 00:18:38.079 Amber Lin: of oh, we prioritize things pretty well this week, like we didn’t have to work on a lot of random requests
227 00:18:38.510 ⇒ 00:18:39.449 Miguel de Veyra: Yeah, yeah, yeah.
228 00:18:39.450 ⇒ 00:18:39.810 Amber Lin: Yeah.
229 00:18:39.810 ⇒ 00:18:45.589 Miguel de Veyra: I think. Yeah, I think Uta mentioned that, too, yesterday. Like, I’m pushing back a lot
230 00:18:48.490 ⇒ 00:18:49.940 Amber Lin: Yeah, that’s great.
231 00:18:50.510 ⇒ 00:18:55.140 Amber Lin: Pb.
232 00:18:55.520 ⇒ 00:19:01.440 Amber Lin: Where of client priorities?
233 00:19:10.789 ⇒ 00:19:19.460 Amber Lin: I think also, because we’re we’re communicated so much. I think they feel like we did quite a lot of work. In reality, we really didn’t do much
234 00:19:19.870 ⇒ 00:19:29.080 Miguel de Veyra: Yeah. And then I think one of the things that we need to improve on, I would say is, we need to keep them on the loop. We can’t just
235 00:19:29.080 ⇒ 00:19:30.230 Amber Lin: Hmm.
236 00:19:30.230 ⇒ 00:19:31.949 Miguel de Veyra: Yeah, we need to keep him on the loop.
237 00:19:32.820 ⇒ 00:19:33.600 Amber Lin: Yeah.
238 00:19:33.600 ⇒ 00:19:42.049 Miguel de Veyra: Because he does. He like the tickets barely move because there’s blockers. And then we like, we basically only move the tickets when we’re on a call.
239 00:19:42.460 ⇒ 00:19:44.879 Miguel de Veyra: But the thing is, Utam doesn’t join the calls.
240 00:19:46.495 ⇒ 00:19:52.170 Miguel de Veyra: So he does. He’s he lacks detail. So you know. So I wanna avoid what happened last
241 00:19:52.400 ⇒ 00:19:53.030 Amber Lin: Yeah.
242 00:19:53.030 ⇒ 00:19:55.640 Miguel de Veyra: Basically where he thought there was no progress.
243 00:19:55.640 ⇒ 00:20:03.040 Amber Lin: Oh, my God, okay, I since you know, this is like a notating app.
244 00:20:03.180 ⇒ 00:20:13.389 Amber Lin: And it does this recording. So I’ll just record from now on I’ll do like a meeting summary recap from this recording, and I’ll send it to Uta.
245 00:20:14.060 ⇒ 00:20:14.860 Miguel de Veyra: Yep. Yep.
246 00:20:14.860 ⇒ 00:20:15.940 Amber Lin: Yes, and
247 00:20:15.940 ⇒ 00:20:20.250 Miguel de Veyra: One of the things I proposed to him actually was me in case he was, or
248 00:20:20.400 ⇒ 00:20:26.979 Miguel de Veyra: the AI team basically sends Utah like a end of day report like, Hey, here’s the progress. Here’s our blockers.
249 00:20:27.560 ⇒ 00:20:32.500 Miguel de Veyra: cause I think that that’s a pretty fast solution for a pretty mundane problem.
250 00:20:33.010 ⇒ 00:20:33.780 Amber Lin: Great
251 00:20:44.870 ⇒ 00:20:48.660 Amber Lin: great! That’s a that’s a great point.
252 00:20:49.620 ⇒ 00:20:55.679 Amber Lin: So next next cycle I feel like we’ll have a little bit more work
253 00:20:56.250 ⇒ 00:21:04.560 Amber Lin: for the update. But but as we discussed, that doesn’t seem like a big thing anymore.
254 00:21:04.920 ⇒ 00:21:14.159 Miguel de Veyra: Yeah. And then also, I think for next cycle, amber need to take note that basically 10 days, right per cycle, 3 of those are going to be holiday
255 00:21:15.632 ⇒ 00:21:23.049 Amber Lin: Thank you for telling me, I remember, but I didn’t think about it next that way. Next cycle
256 00:21:24.450 ⇒ 00:21:25.210 Miguel de Veyra: So it’s
257 00:21:26.760 ⇒ 00:21:30.829 Amber Lin: 7 out of 10 days available
258 00:21:31.590 ⇒ 00:21:36.889 Miguel de Veyra: That’s pro. That’s gonna be Wednesday next week holiday. And then Thursday, Friday, the following week.
259 00:21:37.670 ⇒ 00:21:48.229 Amber Lin: I see if it’s Thursday or Friday the following week. It’s we probably have all the stuff we need to get done so, and the Wednesday. It’s midweek, so we should be fine
260 00:21:48.370 ⇒ 00:21:49.340 Miguel de Veyra: Yeah, yeah.
261 00:21:49.340 ⇒ 00:21:50.780 Amber Lin: Improving.
262 00:21:52.060 ⇒ 00:22:00.789 Amber Lin: So I think middle next cycle. So the second week we’ll be rolling out to all of the Csrs.
263 00:22:02.130 ⇒ 00:22:02.870 Amber Lin: So we’ll
264 00:22:02.870 ⇒ 00:22:03.420 Miguel de Veyra: Yeah.
265 00:22:03.670 ⇒ 00:22:11.080 Miguel de Veyra: And then, yeah, we we need to clarify on the call later, like, what like, what? The.
266 00:22:11.600 ⇒ 00:22:14.380 Miguel de Veyra: what what expectations are for that update bot
267 00:22:17.090 ⇒ 00:22:21.420 Amber Lin: I think not on the call. Later. Cause execs have no clue.
268 00:22:21.600 ⇒ 00:22:22.160 Amber Lin: Oh, yeah.
269 00:22:22.160 ⇒ 00:22:22.760 Miguel de Veyra: Yeah. Yes.
270 00:22:22.760 ⇒ 00:22:26.740 Amber Lin: We need to probably clarify with Janice or Yvet. So that would be.
271 00:22:27.180 ⇒ 00:22:30.789 Amber Lin: That will be better. We’ll just ask on Monday
272 00:22:31.090 ⇒ 00:22:35.079 Miguel de Veyra: Okay, let me know if I should be there, so I can assist them
273 00:22:41.370 ⇒ 00:22:47.009 Amber Lin: yeah, I mean, that’s planning right? That’s planning of what the sprint is. So
274 00:22:47.140 ⇒ 00:22:53.980 Amber Lin: it will be. It will be. We discuss these tickets with Janice. Is this your priority? And
275 00:22:54.130 ⇒ 00:23:02.239 Amber Lin: Miguel, or Miguel or Casey maybe both of you want to be there of saying, Okay, I will take on this work. I estimate this taking this long.
276 00:23:02.430 ⇒ 00:23:06.060 Amber Lin: I think this is a good due date for that
277 00:23:06.240 ⇒ 00:23:17.620 Amber Lin: right? So we essentially agree to take on work. I don’t think it’ll take too long, because we have all the tickets groomed, and we know what we need to do. It’s just confirming what you need, so it’ll probably take 2030 min.
278 00:23:20.180 ⇒ 00:23:25.002 Amber Lin: Okay, anything else I need to finish the presentation.
279 00:23:28.250 ⇒ 00:23:28.770 Amber Lin: All right.
280 00:23:30.280 ⇒ 00:23:31.899 Miguel de Veyra: Okay. Thanks. Everyone.
281 00:23:32.040 ⇒ 00:23:36.420 Amber Lin: Thank you, guys, I’ll send this to our group chat. So Utah
282 00:23:36.420 ⇒ 00:23:37.120 Casie Aviles: Thank you.
283 00:23:37.370 ⇒ 00:23:38.760 Amber Lin: Alrighty! Bye-bye.