Meeting Title: ABC | Biz KPI Review Date: 2025-05-08 Meeting participants: Annie Yu, Amber Lin
WEBVTT
1 00:02:41.040 ⇒ 00:02:42.420 Amber Lin: Hello!
2 00:02:43.070 ⇒ 00:02:48.180 Annie Yu: Hi! I’m I’m not sure if I should join this one.
3 00:02:48.559 ⇒ 00:02:54.629 Amber Lin: Well, I think today we don’t have enough data to present. I kinda emailed Yvette, that
4 00:02:55.576 ⇒ 00:03:00.264 Amber Lin: we don’t have like to move it to
5 00:03:02.230 ⇒ 00:03:02.560 Annie Yu: Day.
6 00:03:02.560 ⇒ 00:03:12.189 Amber Lin: Monday. Also, I don’t think if it’s joining. I was hoping that Janice would join to talk over some stuff, but we might not end up talking.
7 00:03:12.790 ⇒ 00:03:13.980 Annie Yu: Okay, got it?
8 00:03:13.980 ⇒ 00:03:30.038 Amber Lin: Yeah, that’s okay. I was I was just doing the presentation. So if they don’t join, I can’t. I can spend more time on it. I, realistically, I think I’ve spent like total of 15 min this week on ABC.
9 00:03:30.850 ⇒ 00:03:36.029 Annie Yu: Yeah, I, yeah, we wanna picture how your calendar looks like.
10 00:03:36.925 ⇒ 00:03:40.329 Amber Lin: It it is. It is awful! Last week.
11 00:03:40.330 ⇒ 00:03:41.130 Annie Yu: Oh!
12 00:03:41.610 ⇒ 00:03:48.965 Amber Lin: This week was just a good realization of, yeah, I really can’t do that much stuff. I thought I can. I cannot.
13 00:03:49.300 ⇒ 00:03:57.290 Annie Yu: No, that’s good. I think that’s good. You can focus more on like the you can like, be laser focused on certain things and.
14 00:03:57.290 ⇒ 00:04:07.539 Amber Lin: I know. I know it’s it’s a lesson, because, you know, the funniest part is that it’s been saying that this from the day I’ve started. I did it anyways.
15 00:04:08.540 ⇒ 00:04:10.549 Annie Yu: Well lesson learned.
16 00:04:11.220 ⇒ 00:04:20.809 Amber Lin: I know it’s like. I’m glad you have the patience to watch me stumble, cause if it was me, I would have been so pissed. I was like I told you so.
17 00:04:21.100 ⇒ 00:04:24.870 Annie Yu: But you still have a few projects now. Still right.
18 00:04:24.870 ⇒ 00:04:31.364 Amber Lin: Yeah, yeah, I have all the client projects. And honestly, there’s quite a few, because there’s
19 00:04:32.570 ⇒ 00:04:38.640 Amber Lin: There’s pool parts, urban stamps hopefully starting for me. And then there’s matter more.
20 00:04:39.275 ⇒ 00:04:48.190 Amber Lin: There’s another very small AI client, and then apparently we might have another AI client. So it’s mostly just focusing on Pme.
21 00:04:50.670 ⇒ 00:04:55.505 Annie Yu: Yeah. Well, they’re still still sounds like a lot.
22 00:04:55.930 ⇒ 00:05:04.160 Amber Lin: It still sounds like a lot. I agree. I I think it was mostly because I was trying to manage the internal AI like automation stuff.
23 00:05:04.630 ⇒ 00:05:08.710 Amber Lin: And then like cause, I don’t know it that well.
24 00:05:08.890 ⇒ 00:05:18.114 Amber Lin: I can’t drag the engineers on like, because this means cause for client projects.
25 00:05:19.050 ⇒ 00:05:26.660 Amber Lin: it’s easier to lead without authority, but if it’s internal, there’s no urgency.
26 00:05:27.500 ⇒ 00:05:30.997 Amber Lin: Well, and then there’s no agency.
27 00:05:31.580 ⇒ 00:05:32.169 Annie Yu: Yeah, no, that.
28 00:05:32.170 ⇒ 00:05:36.339 Amber Lin: I’m not as good as Utong to like. Make people do things.
29 00:05:38.400 ⇒ 00:05:51.609 Annie Yu: Yeah, no, and no, that that totally makes sense. I would hate to be in your role. Honestly, I just want to do my own thing, and I don’t care. I don’t wanna like chase down things.
30 00:05:51.610 ⇒ 00:05:56.530 Amber Lin: If you want to do these like dashboard. Analysis.
31 00:05:56.530 ⇒ 00:05:57.600 Annie Yu: Yeah.
32 00:05:57.830 ⇒ 00:05:58.600 Annie Yu: Wait. What?
33 00:05:58.600 ⇒ 00:06:08.030 Amber Lin: No, no, like the like. Sorry I’m that was not clear. I mean, like these meetings like, do you like telling the clients what we found like.
34 00:06:08.130 ⇒ 00:06:17.980 Amber Lin: Do you like finding the insights? I I know it’s kind of different of finding insights versus telling a story to the client like, which part do you like and don’t like.
35 00:06:18.570 ⇒ 00:06:21.439 Annie Yu: Honestly, I think I would just enjoy like
36 00:06:21.760 ⇒ 00:06:29.489 Annie Yu: building, not not building dashboards, but studying data and metrics, and enable them
37 00:06:29.940 ⇒ 00:06:42.290 Annie Yu: to understand, like what metrics we can look at, and how we can look at it, but in terms of like finding a specific insights to help them make decision. I think that part is not what I enjoy the most. The most.
38 00:06:42.290 ⇒ 00:06:43.050 Amber Lin: Hmm.
39 00:06:43.050 ⇒ 00:06:54.550 Annie Yu: I mean, I I think it makes sense that, being in my role definitely, there will be time that where I need to do those more insights analysis. But if comparing to like
40 00:06:54.870 ⇒ 00:07:01.580 Annie Yu: studying Beta and then building designing visuals, I think I like that part a bit more than.
41 00:07:01.580 ⇒ 00:07:15.159 Amber Lin: I see, I see. So you like the part where it kind of still intersects with data modeling. It’s just like right after that cause. You know the whole pipeline like after you have the dashboard, we need to tell clients like what? Why do we even do this.
42 00:07:15.550 ⇒ 00:07:16.210 Annie Yu: Yeah.
43 00:07:16.210 ⇒ 00:07:23.009 Amber Lin: Like, still more of the technical parts. And then after that, it’s it’s honestly more like consulting
44 00:07:23.010 ⇒ 00:07:24.859 Amber Lin: more telling. Yeah. Yeah.
45 00:07:24.860 ⇒ 00:07:25.800 Amber Lin: And data.
46 00:07:26.090 ⇒ 00:07:31.784 Annie Yu: Yeah, I think I like like doing things, but in terms of like talking, not so much.
47 00:07:32.120 ⇒ 00:07:34.900 Amber Lin: Okay, I see. I see like.
48 00:07:35.030 ⇒ 00:07:42.427 Amber Lin: Then I can go ask. Say, Robert, like, maybe I can spare you from these meetings.
49 00:07:42.890 ⇒ 00:07:53.367 Annie Yu: Oh, yeah, but I think it also makes sense that, like being an analyst, you have to get like your feet in both on both sides.
50 00:07:53.770 ⇒ 00:08:03.180 Amber Lin: But I mean, if you like, if you are very certain you want to go deeper on the technical end. It’s like, if you, as long as you expand somewhere, right.
51 00:08:03.270 ⇒ 00:08:07.749 Annie Yu: Yeah, that’s why I wanted to do more like machine learning that kind of thing.
52 00:08:08.483 ⇒ 00:08:09.950 Amber Lin: Okay, yeah.
53 00:08:09.950 ⇒ 00:08:13.734 Amber Lin: But yeah, that’s that’s something we can shift to like over time.
54 00:08:14.050 ⇒ 00:08:22.256 Amber Lin: No like. And and for yeah, sorry. For now, I might not even have time to take these meetings, so you might have to do them anyways.
55 00:08:23.040 ⇒ 00:08:29.130 Annie Yu: Yeah, yeah. And I think it will be a good idea that we can have like
56 00:08:29.290 ⇒ 00:08:32.340 Annie Yu: like the dashboard review, like Utam said, I think.
57 00:08:32.340 ⇒ 00:08:32.870 Amber Lin: Hmm!
58 00:08:32.870 ⇒ 00:08:37.969 Amber Lin: I think the challenge now with ABC is just that we don’t have all the data, and
59 00:08:37.970 ⇒ 00:08:38.650 Amber Lin: and then we’ll.
60 00:08:38.659 ⇒ 00:08:43.769 Annie Yu: And and honestly, I haven’t like, think I haven’t thought through a lot
61 00:08:44.339 ⇒ 00:08:47.629 Annie Yu: outside of what we have been getting like.
62 00:08:47.630 ⇒ 00:08:47.970 Amber Lin: I know.
63 00:08:49.500 ⇒ 00:08:53.620 Amber Lin: I just don’t think it’s your responsibility. Like, how are you gonna imagine?
64 00:08:53.970 ⇒ 00:08:54.670 Amber Lin: And that’s
65 00:08:54.670 ⇒ 00:09:00.809 Amber Lin: and evaluation when there’s not even data in front of you like, what am I supposed to do?
66 00:09:00.810 ⇒ 00:09:01.909 Annie Yu: That’s true.
67 00:09:01.910 ⇒ 00:09:07.460 Amber Lin: Static data is a whole project on its own, like, you’re not supposed to
68 00:09:07.610 ⇒ 00:09:13.349 Amber Lin: like. Imagine data when they haven’t even given you anything. I’m like.
69 00:09:13.350 ⇒ 00:09:13.860 Annie Yu: Yeah.
70 00:09:13.860 ⇒ 00:09:19.500 Amber Lin: Stuck on Tim for 2 weeks now, like, I guess we haven’t nudged them enough. But like.
71 00:09:20.240 ⇒ 00:09:21.439 Amber Lin: yeah, we’re stuck.
72 00:09:21.780 ⇒ 00:09:36.920 Annie Yu: I’m thinking I don’t know from Brian’s side. I know that currently we just take whatever he gives us, and I don’t know if it would make sense to ask him, Hey, can you give us? I I guess also not everything but a list of things that
73 00:09:38.040 ⇒ 00:09:40.380 Annie Yu: yeah, I don’t really know what makes sense.
74 00:09:40.380 ⇒ 00:09:49.240 Amber Lin: Like I just want, like, I think I just want everything like, How are you supposed to know what to use if you don’t know what’s there and not what’s not there.
75 00:09:49.240 ⇒ 00:09:50.220 Annie Yu: Yeah, yeah.
76 00:09:50.220 ⇒ 00:09:54.709 Amber Lin: I trust in your ability to not get overwhelmed. If it’s
77 00:09:55.250 ⇒ 00:10:03.280 Amber Lin: it’s data related. I just don’t think like, why did he send to you not the maze data like I don’t understand.
78 00:10:03.890 ⇒ 00:10:17.669 Annie Yu: Yeah, so yeah, I think it’s it’s that it’s because of that part. It’s hard. It’s especially hard for me now to really look at the data and say, Oh, our bot is driving this
79 00:10:18.231 ⇒ 00:10:26.270 Annie Yu: change, or things of that sort, because we only really have that like handling data. That would make sense.
80 00:10:26.270 ⇒ 00:10:26.690 Amber Lin: See you.
81 00:10:26.690 ⇒ 00:10:29.200 Annie Yu: A bit more sense to look at. But yeah.
82 00:10:29.200 ⇒ 00:10:30.653 Amber Lin: Yeah, okay,
83 00:10:32.510 ⇒ 00:10:46.410 Amber Lin: I will like in the presentation, I’ll try to draft some stuff. I don’t think you’ll have to be there, because it’s mostly like just talking to the execs like, I don’t think you have to be there for the later presentation as well.
84 00:10:46.410 ⇒ 00:10:47.850 Annie Yu: Okay. Okay.
85 00:10:47.950 ⇒ 00:10:50.581 Amber Lin: Yeah. And another thing is just
86 00:10:51.910 ⇒ 00:10:55.803 Annie Yu: I like don’t like working with real data.
87 00:10:56.290 ⇒ 00:10:58.159 Amber Lin: Oh, I know.
88 00:10:58.160 ⇒ 00:11:12.460 Annie Yu: I so yesterday? I don’t know if you saw that but yesterday also asked about a chart. Can we make it into a horizontal bar chart which you already did ask before and like with real data, you can’t do that. And
89 00:11:13.481 ⇒ 00:11:33.648 Annie Yu: so. And I asked this question yesterday, I think for yeah, I asked them. Like, are we adding like horizontal bar chart? And it’s not really just that, but also some basic charts that they they don’t have and flexibility around it. And then they did respond. They said,
90 00:11:34.520 ⇒ 00:11:38.839 Annie Yu: I think for the next release they are going to make.
91 00:11:39.773 ⇒ 00:11:51.109 Annie Yu: I think there’s another code called Vega Light, where people can kind of customize their components and visualizations with that code. And they also said.
92 00:11:51.620 ⇒ 00:11:57.540 Annie Yu: Oh, you can just use chat, Gpt, you know, like to copy and paste, and then.
93 00:11:57.540 ⇒ 00:11:57.920 Amber Lin: That’s right.
94 00:11:57.920 ⇒ 00:12:10.680 Annie Yu: The customizations. But I think for me, I’ve been using a few bi tools. I think the whole purpose of having a bi. Tools are just that we don’t have to write code every time.
95 00:12:11.610 ⇒ 00:12:25.780 Annie Yu: And then I feel like this is like adding another step, and it’s more than it’s like really dragging me, slowing me down more than it’s helping. If if you are saying that oh, we are gonna enable you to write your own code to make your own visualizations. Then.
96 00:12:25.780 ⇒ 00:12:26.170 Amber Lin: Hmm.
97 00:12:26.170 ⇒ 00:12:28.370 Annie Yu: With that. I really just don’t see the value, whether.
98 00:12:28.370 ⇒ 00:12:29.590 Amber Lin: And what’s the point of your?
99 00:12:30.190 ⇒ 00:12:30.630 Amber Lin: It’s talk.
100 00:12:30.630 ⇒ 00:12:38.489 Annie Yu: I like. I can do the same thing with tableau without like having to go to AI and asking about a query, and then
101 00:12:38.730 ⇒ 00:12:45.720 Annie Yu: do that every time I want to make a change. So I think I just like I fail to see the value of choosing real data.
102 00:12:45.720 ⇒ 00:12:47.629 Amber Lin: It’s cheap, that’s all.
103 00:12:47.900 ⇒ 00:12:48.410 Annie Yu: Yeah.
104 00:12:48.410 ⇒ 00:12:49.662 Amber Lin: It’s really cheap.
105 00:12:50.080 ⇒ 00:12:51.000 Annie Yu: Oh.
106 00:12:51.870 ⇒ 00:12:57.829 Annie Yu: yeah, I don’t know. I think that’s something I I do wanna like bring up in the future. I think I think.
107 00:12:58.060 ⇒ 00:13:05.550 Amber Lin: But but with what we have with ABC, so far, I think it’s okay. Just because we don’t have that much data.
108 00:13:05.550 ⇒ 00:13:06.890 Amber Lin: It’s enough.
109 00:13:06.890 ⇒ 00:13:27.740 Annie Yu: Yeah. But if it’s something we really wanna like have more scalable or advanced dashboards, I think I I would be against keeping on using this and if I do, wanna write code to build my visualizations, I can do that with python or R like, I just don’t see the point of using this.
110 00:13:28.950 ⇒ 00:13:31.230 Amber Lin: But it may have its place, for you’re right.
111 00:13:31.230 ⇒ 00:13:39.939 Annie Yu: Yeah. Yeah. But also, I’m not a data engineer. I think it probably makes sense for someone who’s a data engineer, and they’re shifting their.
112 00:13:39.940 ⇒ 00:13:40.840 Amber Lin: Yeah, this.
113 00:13:40.840 ⇒ 00:13:41.350 Annie Yu: More like.
114 00:13:41.350 ⇒ 00:13:45.229 Amber Lin: It will make more sense to Luke than it will make sense to you.
115 00:13:45.230 ⇒ 00:13:47.350 Annie Yu: Yeah, yeah, so.
116 00:13:48.166 ⇒ 00:13:57.339 Amber Lin: Sorry I had another question before I before I let you go I have to go back to my presentation. I’m so behind. So
117 00:13:57.690 ⇒ 00:14:02.540 Amber Lin: right now you’re on like you’re on mostly Eden.
118 00:14:02.660 ⇒ 00:14:09.830 Amber Lin: some ABC, some madam, or and some internal stuff right? Like, what percentage are each of them taking up for your time.
119 00:14:11.075 ⇒ 00:14:17.289 Amber Lin: I think definitely, Eden is the main main one that takes me a lot of time. And just
120 00:14:17.290 ⇒ 00:14:19.919 Amber Lin: it’s like 50% or 80%.
121 00:14:19.920 ⇒ 00:14:21.939 Annie Yu: I would say 50%.
122 00:14:23.850 ⇒ 00:14:27.310 Annie Yu: I think, yeah, I think definitely 50%.
123 00:14:27.760 ⇒ 00:14:30.230 Annie Yu: And then the office. I don’t do
124 00:14:30.340 ⇒ 00:14:40.410 Annie Yu: every project every day. So like yesterday, I did have some time on ABC. And then today I would spend more time on, like maybe matter more or internal, like. I tried to split them.
125 00:14:40.410 ⇒ 00:14:41.510 Amber Lin: It’s a different.
126 00:14:41.510 ⇒ 00:14:41.920 Annie Yu: Days.
127 00:14:41.920 ⇒ 00:14:54.760 Amber Lin: I think that’s great cause. We were talking about this contact switching. I was talking with a wish and think it’s just best if you don’t like context switching to just limit it to like a specific day. And so.
128 00:14:54.760 ⇒ 00:14:55.130 Annie Yu: Yeah.
129 00:14:55.130 ⇒ 00:15:03.290 Amber Lin: Basically based on that maximum 5 projects. But then, if Eden takes up more than one day, then it should actually be less.
130 00:15:05.520 ⇒ 00:15:12.920 Amber Lin: So I was. I was. I was proposing to times like rather than expanding you across all these projects. We should give you more work
131 00:15:13.070 ⇒ 00:15:21.720 Amber Lin: specific to one project like, just deepen each project rather than expand to more. I don’t know if that’s possible, though.
132 00:15:22.120 ⇒ 00:15:22.570 Amber Lin: yeah.
133 00:15:22.570 ⇒ 00:15:27.329 Amber Lin: like, it’s better for your brain. But I just don’t know how big of a projects we have now.
134 00:15:27.670 ⇒ 00:15:29.830 Annie Yu: Yeah, yeah, that makes sense.
135 00:15:29.830 ⇒ 00:15:30.510 Amber Lin: As in my.
136 00:15:30.510 ⇒ 00:15:31.629 Annie Yu: Yeah, I think so.
137 00:15:31.630 ⇒ 00:15:32.180 Amber Lin: See.
138 00:15:32.180 ⇒ 00:15:32.780 Annie Yu: Okay.
139 00:15:32.780 ⇒ 00:15:33.350 Amber Lin: Shit.
140 00:15:33.350 ⇒ 00:15:46.199 Annie Yu: Yeah. So I think, really, the thing is not like the overall project numbers, but more so like within one day. I can only do 2 to 3 and if if we
141 00:15:46.340 ⇒ 00:15:52.739 Annie Yu: we can like guarantee, okay for this day, you can. You only have to work on these things. But
142 00:15:53.060 ⇒ 00:15:57.249 Annie Yu: tomorrow you can focus on the other projects. I think that will be okay.
143 00:15:57.250 ⇒ 00:16:07.659 Amber Lin: Oh, okay, okay, that sounds good. So it’s like, you don’t mind if there’s like 5 or 6 projects, you just you just don’t want 5 or 6 pro. 6 projects in the same day.
144 00:16:07.980 ⇒ 00:16:09.619 Annie Yu: Of course not. Yeah. Yeah.
145 00:16:09.620 ⇒ 00:16:11.514 Amber Lin: Okay. Well, that was my life.
146 00:16:12.340 ⇒ 00:16:13.459 Amber Lin: It does not work.
147 00:16:13.740 ⇒ 00:16:16.440 Annie Yu: Yeah. But also, I think that’s
148 00:16:17.450 ⇒ 00:16:43.169 Annie Yu: like with more projects that’s like, like what I just said, that’s fine. If I’m just building more like capabilities. But if we are to say like, Oh, I have to share like a insight analysis. I think that’s where that will be challenging, just because I’m just jumping from project to project without really knowing much about, you know, like the older journey, or like customers.
149 00:16:43.590 ⇒ 00:16:53.130 Annie Yu: demographics. And I’m just making it up. But but you know, like for insights, analysis, that would be. That would be just more challenging. I want to say.
150 00:16:54.590 ⇒ 00:17:00.840 Amber Lin: I see, okay, that sounds good. So
151 00:17:01.510 ⇒ 00:17:11.529 Amber Lin: like, would you be open to having another project I don’t cause, we’re talking about, okay, do we want to keep you on the internal project? If it’s like adding to your mental burden.
152 00:17:11.660 ⇒ 00:17:17.809 Annie Yu: I think I actually want to be on the internal project compared to like more client projects.
153 00:17:17.819 ⇒ 00:17:18.329 Amber Lin: Oh, okay.
154 00:17:18.329 ⇒ 00:17:30.959 Annie Yu: Because I feel like it’s just different than client projects. And I think on the client projects. I rely on data engineers a lot without really knowing what they do.
155 00:17:31.260 ⇒ 00:17:31.730 Annie Yu: and
156 00:17:31.730 ⇒ 00:17:38.230 Annie Yu: being on internal project. I I do have to work with them sometimes, and then I can like ask
157 00:17:38.360 ⇒ 00:17:42.589 Annie Yu: questions that I don’t necessarily ask from client projects and see what.
158 00:17:42.950 ⇒ 00:17:44.350 Amber Lin: Wing kind of like.
159 00:17:44.350 ⇒ 00:17:45.230 Annie Yu: Learning, more.
160 00:17:45.230 ⇒ 00:17:45.710 Amber Lin: Yeah.
161 00:17:45.710 ⇒ 00:17:47.689 Annie Yu: About their roles. From there.
162 00:17:47.690 ⇒ 00:18:01.490 Amber Lin: Okay, that’s really helpful, then. So I I’d say, like, you want to keep staying on the internal projects. And mostly we can still add you to new projects, but more so like, be aware of
163 00:18:01.950 ⇒ 00:18:13.020 Amber Lin: how much we give you in a single day, or at least you can. You have. You should like you, should we should have the expectation that you can say, Hey, today I already have 2 projects.
164 00:18:13.200 ⇒ 00:18:13.740 Amber Lin: This is.
165 00:18:13.740 ⇒ 00:18:22.380 Annie Yu: Yeah, yeah, yeah. So I think, yeah, that would that would mean like, I guess the ticket deadlines if they can be spread out or or
166 00:18:24.140 ⇒ 00:18:25.940 Annie Yu: but yeah, but also.
167 00:18:25.940 ⇒ 00:18:26.460 Amber Lin: Okay.
168 00:18:26.460 ⇒ 00:18:30.318 Annie Yu: Is poor parts using real data, too.
169 00:18:30.870 ⇒ 00:18:34.560 Amber Lin: Yeah, they have a lot of real dashboards.
170 00:18:35.050 ⇒ 00:18:37.010 Annie Yu: I yeah, I think
171 00:18:37.130 ⇒ 00:19:03.220 Annie Yu: I think it’s not just the capability or flexibility wise, I think, with real it just it really takes me more time, because it’s not like what I’m used to do with other bi tools. I have to write code which which is not like super hard. But I do have to rely on AI a lot, and I don’t think that’s like rewarding or fulfilling for me, because I would rather
172 00:19:03.260 ⇒ 00:19:10.879 Annie Yu: to spend my time of like on thinking through things, designing things, rather than like having to ask AI every time.
173 00:19:11.590 ⇒ 00:19:17.941 Amber Lin: Oh, that’s so interesting, cause I like. I don’t think without AI right now. I don’t know if that’s a good thing.
174 00:19:18.230 ⇒ 00:19:29.219 Annie Yu: I mean, I mean I I do use it a lot, but I, at least for me when I work with let’s say tableau. I don’t really use AI that much, because I.
175 00:19:29.220 ⇒ 00:19:31.170 Amber Lin: But I don’t think it really helps.
176 00:19:31.170 ⇒ 00:19:34.469 Annie Yu: Yeah. Yeah. And then, but what’s real is.
177 00:19:34.870 ⇒ 00:19:36.689 Annie Yu: yeah, I don’t. I don’t. I? Just
178 00:19:37.440 ⇒ 00:19:42.710 Annie Yu: yeah, I try not to be biased. But I think I gave it a chance, and I just I I think.
179 00:19:42.710 ⇒ 00:19:43.140 Amber Lin: Cool.
180 00:19:43.140 ⇒ 00:19:44.723 Annie Yu: It’s really slowing me down.
181 00:19:45.040 ⇒ 00:19:46.089 Amber Lin: Okay, okay, so.
182 00:19:46.090 ⇒ 00:19:47.720 Annie Yu: Rather than helping me.
183 00:19:47.720 ⇒ 00:19:56.030 Amber Lin: Yeah, sounds good. So I’ll get back to. I’ll get back to Utam and Robert and maybe await on this.
184 00:19:56.540 ⇒ 00:20:16.600 Amber Lin: Yeah, sounds good, cause. I I know. I wish I had a 1 on one with you, I when but when I listened to what he said, I was like, I’m not sure if this covered like everything, because it was like what I. What I heard from him is his summary of bullet points, like a lot of nuances lost there. And I wanna like translate that.
185 00:20:16.600 ⇒ 00:20:21.799 Annie Yu: I did. I did tell him I did not like all the content switching within one day.
186 00:20:21.800 ⇒ 00:20:26.209 Amber Lin: Yeah, that’s what I that’s where I learned it from. I was like, Okay, I’ll remember that.
187 00:20:27.440 ⇒ 00:20:28.670 Annie Yu: Okay.
188 00:20:28.980 ⇒ 00:20:32.780 Amber Lin: Sounds good, nice talking to you. It’s been a while.
189 00:20:32.780 ⇒ 00:20:38.199 Annie Yu: Yeah, thank you so much. For for like being like a guardrail.
190 00:20:38.575 ⇒ 00:20:38.950 Amber Lin: Hmm.
191 00:20:38.950 ⇒ 00:20:40.708 Annie Yu: Like you are really needed.
192 00:20:41.060 ⇒ 00:20:49.609 Amber Lin: I appreciate it. Oh, and also our tomorrow, I think tomorrow our meeting has been moved earlier, I think, to 8 am
193 00:20:49.950 ⇒ 00:20:53.189 Amber Lin: like sorry the Brainforge meeting not any client meeting.
194 00:20:53.190 ⇒ 00:20:57.820 Annie Yu: Okay, am I think that’s when we have Eden stand up. I’m not sure if that.
195 00:20:57.820 ⇒ 00:21:01.570 Amber Lin: They’re probably gonna move it. Yeah, it’s okay.
196 00:21:01.790 ⇒ 00:21:05.750 Annie Yu: Okay, awesome. And and do you? Oh, speaking of.
197 00:21:06.440 ⇒ 00:21:30.749 Annie Yu: Of like rep like team meetings. I I do have a question. So I got. I got asked to host next Friday, and in terms of like finding people to demo like what like, I don’t even know. Let’s say, Okay, if I wanna ask Amber to demo like, what? What would you be demoing like? I don’t really know what people are.
198 00:21:31.070 ⇒ 00:21:31.709 Amber Lin: I think.
199 00:21:31.710 ⇒ 00:21:32.670 Annie Yu: Focusing on.
200 00:21:32.670 ⇒ 00:21:36.709 Amber Lin: You mean, like the lab share, or just like team Demos.
201 00:21:36.710 ⇒ 00:21:38.370 Annie Yu: I think team Demos.
202 00:21:38.370 ⇒ 00:21:45.646 Amber Lin: I see. So the lab share is probably gonna just be you, because whoever’s hosting will do that lab share. And then for demoing
203 00:21:46.910 ⇒ 00:21:49.799 Amber Lin: I think, based on on that.
204 00:21:50.080 ⇒ 00:21:58.819 Amber Lin: You can ask me if there’s any like specific client project updates. You know what I might. I might just.
205 00:21:59.060 ⇒ 00:22:04.420 Amber Lin: I’ll note this down like, I’ll make people send something in the brain forge channel.
206 00:22:06.390 ⇒ 00:22:11.470 Amber Lin: It’s like project related stuff. And mostly it’s like, Okay, is there progress on the
207 00:22:11.992 ⇒ 00:22:19.090 Amber Lin: internal data platform team, internal AI team, or maybe like internal sales just like for that. Just say, who would help
208 00:22:19.690 ⇒ 00:22:20.470 Amber Lin: like
209 00:22:20.810 ⇒ 00:22:30.379 Amber Lin: do it? Just just like, just give it to him like let him just say, Hey, I’ll let Utah like do the do the shares.
210 00:22:30.570 ⇒ 00:22:32.920 Amber Lin: He will grab people if you need.
211 00:22:34.490 ⇒ 00:22:41.969 Annie Yu: Got it. And and so for Demo, it’s only also like around 5 min, right? It doesn’t have to be super long.
212 00:22:41.970 ⇒ 00:22:47.560 Amber Lin: No, it doesn’t. It’s it’s just like, Hey, give us an update. Mostly, I just wanted to focus on like.
213 00:22:47.730 ⇒ 00:22:59.939 Amber Lin: actually, like we can play a little bit games like for people people to connect. I think the Demos. The purpose of that is just that people have a bigger idea of what’s going on in the company
214 00:23:00.595 ⇒ 00:23:05.329 Amber Lin: like it doesn’t have to be cool, whatever it just has to be like, okay.
215 00:23:05.460 ⇒ 00:23:09.960 Annie Yu: To share like recently been working on this, and then.
216 00:23:09.960 ⇒ 00:23:10.960 Amber Lin: Yeah, yeah.
217 00:23:11.220 ⇒ 00:23:12.620 Annie Yu: What we are showing. Okay.
218 00:23:12.620 ⇒ 00:23:28.259 Amber Lin: Yeah, I feel like there’s not much need for the client teams unless there’s like something really, really cool. The client teams is mostly just like status updates. You can call on people like you can. Just you can call on me. And I’ll like, call on other people, too.
219 00:23:29.230 ⇒ 00:23:30.690 Annie Yu: Got it? Okay, yeah.
220 00:23:30.690 ⇒ 00:23:33.610 Amber Lin: I never have a doubt, all of it, or Utah.
221 00:23:34.130 ⇒ 00:23:39.769 Annie Yu: Okay. But Hannah did say that finding 2 Demos.
222 00:23:44.040 ⇒ 00:23:56.579 Amber Lin: yeah, there’s always some. If you always are in doubt. Just say data, internal data team and internal AI team. Just say, those 2, if you like, if you don’t remember anything else.
223 00:23:57.760 ⇒ 00:23:58.680 Annie Yu: Okay. Okay.
224 00:23:58.830 ⇒ 00:24:01.129 Amber Lin: There should be something there every week.
225 00:24:01.890 ⇒ 00:24:08.059 Annie Yu: Okay, nice. And yeah, I did wait. Is Luke working today?
226 00:24:08.060 ⇒ 00:24:09.029 Amber Lin: Think he’s sick.
227 00:24:09.520 ⇒ 00:24:23.369 Annie Yu: Oh, oh, no. Okay. Okay. Cause I, yeah. I know that he’s gonna facilitate tomorrow’s meeting and ask him if he can let me know who’s demoing this week, so I won’t be asking the same people, or for the same thing.
228 00:24:23.370 ⇒ 00:24:31.999 Amber Lin: It’s okay, I think in the week it’s probably still gonna be internal projects. So probably still gonna be the same people demoing. It’s fine.
229 00:24:32.310 ⇒ 00:24:33.090 Annie Yu: Okay.
230 00:24:33.090 ⇒ 00:24:33.630 Amber Lin: Yeah.
231 00:24:34.160 ⇒ 00:24:35.070 Annie Yu: Okay. Nice.
232 00:24:35.070 ⇒ 00:24:42.049 Amber Lin: Yeah, I hope he can be there for the matter. More one. If not, you’re gonna have to say his updates for him.
233 00:24:42.650 ⇒ 00:24:44.680 Amber Lin: You mean? Okay.
234 00:24:44.680 ⇒ 00:24:55.109 Amber Lin: in in half an hour we switch the one with the client to Thursday to keep like Friday cleaner. So there’s no like client, not much client stuff on Friday.
235 00:24:56.000 ⇒ 00:24:56.770 Annie Yu: Okay.
236 00:24:56.770 ⇒ 00:24:57.250 Amber Lin: Yeah.
237 00:24:57.250 ⇒ 00:25:06.830 Annie Yu: Yeah, I okay, I did. I did talk to him briefly yesterday. But yeah, I I will try. But
238 00:25:07.310 ⇒ 00:25:07.770 Amber Lin: Okay.
239 00:25:07.770 ⇒ 00:25:12.630 Annie Yu: I think he did mention. The biggest challenge now is still that access issue.
240 00:25:12.630 ⇒ 00:25:14.120 Amber Lin: Oh, dang okay.
241 00:25:14.695 ⇒ 00:25:21.259 Amber Lin: I hope that Utam joins. We’ll figure I’ll try and figure it out in the meeting. If not, we’ll need to contact support.
242 00:25:21.260 ⇒ 00:25:23.359 Annie Yu: Yeah. And it, it sounds like.
243 00:25:23.610 ⇒ 00:25:30.258 Annie Yu: yeah, I don’t know. This issues. So like, it sounds so easy to fix. But it’s not.
244 00:25:30.650 ⇒ 00:25:33.600 Amber Lin: I know it’s it does not make sense.
245 00:25:33.600 ⇒ 00:25:33.915 Annie Yu: Yeah.
246 00:25:34.230 ⇒ 00:25:38.250 Amber Lin: We’re we have to be missing something somewhere.
247 00:25:38.250 ⇒ 00:25:44.379 Annie Yu: Yeah, but don’t. We are not sure if that’s on our side or on matter more side, right?
248 00:25:45.790 ⇒ 00:25:53.629 Amber Lin: Yeah, it’s okay. It’s okay. We’ll we’ll we’ll step in if needed. Like, I don’t think this is your capability. This is your responsibility.
249 00:25:53.640 ⇒ 00:26:08.449 Annie Yu: Yeah, yeah, wait one more question. If you know, you probably don’t have the answer to this. So if I am to take some ptos. I know that we would like ideally to find someone for your coverage, then, do I?
250 00:26:09.080 ⇒ 00:26:13.290 Annie Yu: I don’t even know who can be my substitute.
251 00:26:13.470 ⇒ 00:26:16.459 Amber Lin: Like, how long is it if it’s like a day? I think you’re fine.
252 00:26:17.152 ⇒ 00:26:22.630 Annie Yu: No, that’s for for next month. I’m I’m taking 5 days off. And I did mention this
253 00:26:22.800 ⇒ 00:26:30.250 Annie Yu: to when I say yes to the offer so hopefully. He still remembers it so. But.
254 00:26:30.250 ⇒ 00:26:40.119 Amber Lin: Yeah, I mean, most of your stuff is on Eden. Right? If you like. For matter more, you can be covered for ABC. You’ll find you’re fine if you like. Skip 5 days.
255 00:26:40.990 ⇒ 00:26:54.978 Amber Lin: At least like if we, we can just say we didn’t get the data. And if we get the Api set up, then you won’t like. You probably won’t need to be there to patch things up. So I feel like it’s mostly for Eden and for Eden.
256 00:26:55.980 ⇒ 00:27:00.680 Amber Lin: Robert technically can cover you because he’s a really good analyst.
257 00:27:00.680 ⇒ 00:27:02.189 Annie Yu: Yeah, I think it makes sense.
258 00:27:02.190 ⇒ 00:27:04.029 Amber Lin: Yes, there’s a poor Robert.
259 00:27:05.300 ⇒ 00:27:10.339 Annie Yu: Yeah, I think makes more sense. If he does that more than anyone else.
260 00:27:10.540 ⇒ 00:27:17.719 Amber Lin: Exactly. So. You probably need to tell Robert and the Pto request you can do that through linear as
261 00:27:18.298 ⇒ 00:27:25.171 Amber Lin: just be mindful to do it a week before it, but if it’s 5 days you probably want to be like, do it.
262 00:27:25.470 ⇒ 00:27:28.699 Annie Yu: Good. And yeah, this week or next.
263 00:27:29.900 ⇒ 00:27:34.709 Amber Lin: Hmm, yeah, no, I I will. I’ll try to do that.
264 00:27:34.710 ⇒ 00:27:39.371 Amber Lin: Make sure to text Robert. I don’t want him to get pissed and say what the fuck happened.
265 00:27:39.630 ⇒ 00:27:41.822 Annie Yu: Yeah, well, yeah.
266 00:27:42.706 ⇒ 00:27:47.423 Amber Lin: I mean, that will be my reaction, too. It was like, wait, what? What.
267 00:27:49.045 ⇒ 00:27:49.490 Annie Yu: Yeah.
268 00:27:49.490 ⇒ 00:27:55.860 Amber Lin: Technically, I think a lot of their work like end like the end. Delivery part relies on you so.
269 00:27:56.570 ⇒ 00:28:13.479 Annie Yu: So yeah, I I yeah, I’ll I’ll I’ll text him. Maybe today he, he! He connected with he connected me with someone that also lives in Portland. I think he’s 1 of his network, and I’m meeting her tomorrow for a coffee.
270 00:28:13.480 ⇒ 00:28:13.980 Amber Lin: I think.
271 00:28:13.980 ⇒ 00:28:22.290 Annie Yu: I’ll I’ll just slide into his DM and say, like, Hey, I’m meeting this person tomorrow. Thanks for the intro. And then on the second.
272 00:28:22.290 ⇒ 00:28:22.720 Annie Yu: yeah, yeah.
273 00:28:23.910 ⇒ 00:28:33.230 Amber Lin: Okay, yeah, if you don’t feel comfortable doing it, I technically can help you do it. But it’s your relationship. So I’ll let you do that.
274 00:28:33.810 ⇒ 00:28:41.716 Annie Yu: Yeah, yeah, but I I probably will start with like I did share this with Tom. Not sure if he told you.
275 00:28:42.060 ⇒ 00:28:43.810 Amber Lin: Okay. Yeah. Sounds good.
276 00:28:43.810 ⇒ 00:28:48.829 Annie Yu: Yeah. Okay, thank you so much. Amber. It’s it’s so nice catching up.
277 00:28:49.220 ⇒ 00:28:53.510 Amber Lin: I know it is always, and I’ll let them know about like your preferences.
278 00:28:54.100 ⇒ 00:29:00.241 Annie Yu: Yeah, yeah. And I, I could be. I could be fickle and flexible. So.
279 00:29:00.680 ⇒ 00:29:11.359 Amber Lin: Sounds good. I think we’ll be really happy to hear that, because I think that’s the whole desire of why they hired a full time. Analyst is like they want someone to cover multiple things.
280 00:29:11.780 ⇒ 00:29:22.839 Annie Yu: Yeah, yeah. But but do share my like opinion on real, too, I think. No, I think I will bring that up. I I think I I think that is, it’s.
281 00:29:22.840 ⇒ 00:29:23.859 Amber Lin: You know what.
282 00:29:23.860 ⇒ 00:29:24.729 Annie Yu: Slowing me down.
283 00:29:25.120 ⇒ 00:29:31.950 Amber Lin: The day you post a company meeting. Please do a poll vote of the most hated bi tools.
284 00:29:32.791 ⇒ 00:29:36.840 Amber Lin: Just like to make it fun and make it public like. It’s fine.
285 00:29:37.350 ⇒ 00:29:43.989 Annie Yu: I think I’ve been very vocal about my opinions on real with Robert.
286 00:29:44.500 ⇒ 00:29:56.959 Amber Lin: I know, like the more you say it, the more people will be like they might agree like, but you never would know if you never ask. So the more people that agree, the more likely they’ll switch.
287 00:29:57.180 ⇒ 00:30:11.684 Annie Yu: Yeah, no, yeah. And I think there is always preference. But I think for me, the the biggest point is that I don’t wanna having to write code to build conversations because we have some other awesome tools that can skip that.
288 00:30:12.030 ⇒ 00:30:16.099 Amber Lin: I know. All right. Okay, gotta skip. Gotta run.
289 00:30:16.100 ⇒ 00:30:17.196 Annie Yu: All right, all right.
290 00:30:17.470 ⇒ 00:30:18.290 Amber Lin: Goodbye!
291 00:30:18.290 ⇒ 00:30:20.329 Annie Yu: I’ll talk to you soon. Amber, bye.
292 00:30:20.330 ⇒ 00:30:21.170 Amber Lin: Talk to you soon.