Meeting Title: ABC | Planning Date: 2025-05-12 Meeting participants: Casie Aviles, Amber Lin


WEBVTT

1 00:00:26.720 00:00:27.689 Casie Aviles: Hey! Amber.

2 00:00:28.270 00:00:33.270 Amber Lin: Hi, I don’t think is gonna join.

3 00:00:33.540 00:00:43.719 Amber Lin: So I’ll just share a few quick updates with you. I don’t know how much of it is development versus how much of it is like

4 00:00:44.759 00:00:47.990 Amber Lin: on my end to work with the event, Janice.

5 00:00:48.180 00:00:55.050 Amber Lin: So they do want to. Okay, let me run through my notes. One. They want to roll out to the overflow agents.

6 00:00:55.638 00:01:00.459 Amber Lin: That’s probably on my side, Tim said he would grant us

7 00:01:00.630 00:01:12.049 Amber Lin: Api credentials this afternoon. So hopefully, this week, we can get that connected. And let Annie start some of her data explorations.

8 00:01:12.600 00:01:13.280 Casie Aviles: Okay.

9 00:01:13.280 00:01:15.500 Amber Lin: But it’s not here yet, so

10 00:01:16.090 00:01:20.229 Amber Lin: it’s just something that might happen. And then let me see.

11 00:01:23.820 00:01:32.328 Amber Lin: Guess. Another thing is that we it’s more about the central dog and about the trainer. Bot

12 00:01:33.320 00:01:46.597 Amber Lin: I know it was great that we were able to do that update last week. They were very, very happy about the trainer. Bot and Uta was like, this is the best presentation ever for this team, and I was like, Oh, we only did now.

13 00:01:47.500 00:01:48.990 Casie Aviles: Yeah, nice.

14 00:01:48.990 00:01:49.920 Amber Lin: Yeah, so.

15 00:01:50.270 00:01:50.620 Casie Aviles: Do

16 00:01:51.400 00:01:57.559 Casie Aviles: yeah good job to you like. Without that I wouldn’t have. It wouldn’t have made sense. It was just been all talk and no work.

17 00:01:58.210 00:02:00.369 Amber Lin: Some of it. It made sense.

18 00:02:00.889 00:02:12.089 Amber Lin: I guess, where the trainer bought. Then it’s like, what is your understanding of what it is? And what do you think needs to improve like? I just want us to align on that.

19 00:02:12.720 00:02:30.289 Casie Aviles: Okay, yeah, sure. So, I mean, I’m to be honest, there’s I feel like there’s a little bit of a confusion, because initially, at first, st like we were talking about the trainer, but and our 1st implementation of that was to just fix the formatting right like to help with the formatting.

20 00:02:32.520 00:02:37.520 Casie Aviles: And yeah. And then, after I think your your conversation with Scott it.

21 00:02:37.810 00:02:43.090 Casie Aviles: I mean, it’s still at the end of the day. It still helps the trainers to update the documents, but.

22 00:02:44.180 00:02:46.760 Casie Aviles: It’s not entirely just for the

23 00:02:47.100 00:02:49.590 Casie Aviles: the formatting. So I think it’s also, for, like

24 00:02:49.870 00:02:55.270 Casie Aviles: how like in general, how it’s structured or like, you know, I but I think

25 00:02:56.528 00:03:01.110 Casie Aviles: yeah, I think it could be merged anyway, right? Like.

26 00:03:01.770 00:03:08.419 Casie Aviles: yeah, if if I understand it correctly. So it’s for now it’s on the demo page on the Ui, the custom ui, that we did.

27 00:03:08.970 00:03:11.729 Casie Aviles: And it should just help the trainers.

28 00:03:11.880 00:03:17.280 Casie Aviles: basically how they want to format and how they want to structure their central doc

29 00:03:17.660 00:03:20.460 Casie Aviles: and give suggestions on the best way to do it.

30 00:03:21.110 00:03:24.460 Casie Aviles: I think that’s that. It boils down to that.

31 00:03:24.810 00:03:41.390 Amber Lin: Yeah, I I think that’s essentially what it is, because ultimately, the problem we’re addressing there is that Yvette and Janice, their department, is customer service, but all of the so information is really really important to them. However.

32 00:03:41.560 00:03:52.220 Amber Lin: the information doesn’t come from them. The information a lot of times comes from other departments, and what we’re doing is making sure that they don’t have to ask

33 00:03:52.270 00:04:10.549 Amber Lin: like, 5 or 6 times repeatedly, on the same topic. We wanna make sure that if they ask once they better get the like complete information. And the formatting is just so that Andy understands. So I think we’re completely aligned on this. So they just

34 00:04:10.550 00:04:23.360 Amber Lin: they just want to make sure that if you do the update, we if someone wants to do an update or ask something, it better be complete, and they better let Andy understand. And and I do think we have all of that.

35 00:04:23.893 00:04:26.209 Amber Lin: I was just thinking of

36 00:04:27.000 00:04:31.039 Amber Lin: like you remember, when at 1st we tried to do like a

37 00:04:31.460 00:04:40.210 Amber Lin: was it in super base? Or it’s like we try to embed the different documents. I don’t know if it’s embedding or vectorized. But do you know, how

38 00:04:40.440 00:04:43.449 Amber Lin: do you know like, why we didn’t do that anymore?

39 00:04:45.700 00:04:51.499 Casie Aviles: I? Yeah, that I think it was Miguel who mostly work on that. And if I remember correctly.

40 00:04:51.890 00:04:54.209 Casie Aviles: the idea was we did that.

41 00:04:54.630 00:04:58.429 Casie Aviles: so that the bot is able to go ahead

42 00:04:58.650 00:05:02.989 Casie Aviles: over to the document and make the changes by by itself. Right? So.

43 00:05:02.990 00:05:03.520 Amber Lin: Cool.

44 00:05:03.520 00:05:11.450 Casie Aviles: The basically what the the Csr won’t have to do it like won’t have to update the document. It it would be the bot.

45 00:05:11.570 00:05:22.679 Casie Aviles: But I think the problem there was that it was very prone to a lot of errors, and it might end up breaking the document instead of help actually helping it update it

46 00:05:22.920 00:05:26.409 Casie Aviles: because it’s yeah. It’s a bit of a custom solution.

47 00:05:27.295 00:05:40.240 Amber Lin: I see. I think they’re fine with just updating it in the Central Doc. It’s a lot better than their current processes, anyways right now to give you an idea where we’re at. I’m gonna work with Denise to

48 00:05:40.450 00:05:48.979 Amber Lin: sort of help them stop. Use the other documents, because you know, they have a Csr test drive, and we’re trying to

49 00:05:51.210 00:05:58.690 Amber Lin: trying to like migrate all of that and stop using all of that. All of those ones.

50 00:05:59.740 00:06:03.240 Casie Aviles: So we want to make. We want them to stop using their old documents.

51 00:06:03.240 00:06:10.010 Amber Lin: Yeah, yeah, yeah. So I think this is more of my work which I have to work with Janice on this.

52 00:06:11.670 00:06:18.340 Amber Lin: what do you think on the engineering side needs to be done, like, I know, last week it was really.

53 00:06:18.550 00:06:29.599 Amber Lin: really haste. I know I don’t. I don’t actually looked into how things like should be structured, or how the knowledge bases should be. What do you think

54 00:06:29.960 00:06:40.590 Amber Lin: is work to be done like, if not like, maybe there is no work to be done like maybe there is. Let me pull up linear, and then we can just go through a few things.

55 00:06:41.170 00:06:42.070 Casie Aviles: Okay. Sure.

56 00:06:42.070 00:06:42.875 Amber Lin: Yeah.

57 00:07:01.880 00:07:04.130 Casie Aviles: But yeah, there’s a lot.

58 00:07:05.090 00:07:14.559 Amber Lin: A lot of it is like tech debt or like internal back end improvements that don’t see a lot of immediate impact, you know, like the

59 00:07:14.800 00:07:16.619 Amber Lin: better we kind of have.

60 00:07:17.160 00:07:21.750 Amber Lin: I’ll scoot this, I’ll say, like in progress, that’s me.

61 00:07:27.180 00:07:31.389 Amber Lin: and think we did, that

62 00:07:35.370 00:07:37.319 Amber Lin: they are prompt.

63 00:07:38.050 00:07:42.610 Amber Lin: Think they did that. Let me say these are for review. I don’t know

64 00:07:43.790 00:07:48.229 Amber Lin: formatting, so the current trainer Bot, also helps with formatting right.

65 00:07:49.640 00:07:52.419 Casie Aviles: Yes, it should help with the formatting.

66 00:07:53.490 00:07:54.819 Amber Lin: I see, I see.

67 00:07:55.530 00:08:00.840 Amber Lin: So I guess this is something that we could do. I think this is a lot less urgent.

68 00:08:02.670 00:08:06.160 Amber Lin: Here that should be.

69 00:08:13.650 00:08:19.730 Amber Lin: That is progress. That’s me social media.

70 00:08:20.790 00:08:22.080 Amber Lin: And

71 00:08:22.740 00:08:34.119 Amber Lin: I guess the 2 things here that I see is all about the current central talk, if one making sure that it does, if each document doesn’t miss anything, and then for

72 00:08:34.650 00:08:37.989 Amber Lin: the central Doc should make it more bot friendly.

73 00:08:38.429 00:08:40.500 Amber Lin: That’s a few things we can do.

74 00:08:42.049 00:08:42.579 Casie Aviles: Okay.

75 00:08:42.870 00:08:43.580 Amber Lin: Yeah.

76 00:08:44.934 00:09:00.285 Amber Lin: That I’ll try to delegate to Janice. I don’t want you to like waste time on individually doing everything. I think the best thing we can do is have them do the manual pass through, and then

77 00:09:01.430 00:09:03.850 Amber Lin: and then we can do a final check.

78 00:09:05.750 00:09:10.130 Casie Aviles: So are they. Are they using the the ui that we have, like.

79 00:09:10.130 00:09:11.919 Amber Lin: The trainer. Bot! I don’t.

80 00:09:11.920 00:09:12.580 Casie Aviles: Yes.

81 00:09:12.927 00:09:37.272 Amber Lin: I could ask them to do it, but we probably have to test a few times if it actually works. I haven’t the Ui yet, because I know that, for we did it. We didn’t test it on our end yet. So probably we can test one today and record a video on how to use that, you know, like one to create a new update and 2 to

82 00:09:38.590 00:09:43.530 Amber Lin: how to format, how to use it to format. So I guess those 2 things.

83 00:09:44.380 00:09:49.889 Amber Lin: Okay, yeah, let’s see, what else do we have?

84 00:09:51.635 00:09:55.309 Amber Lin: Blah blah thumbs up box handy animation.

85 00:09:56.190 00:10:02.489 Amber Lin: Yeah, like these things like we can do, but I don’t think they make the most impact. So I would say, like

86 00:10:02.800 00:10:09.269 Amber Lin: these 2 already, take a lot of time and then try to do the overflow agency. All of them take quite a bit of time.

87 00:10:09.370 00:10:12.700 Amber Lin: So we can probably to this.

88 00:10:24.250 00:10:32.220 Amber Lin: yeah, think that’s yes, that’s good for

89 00:10:33.680 00:10:36.909 Amber Lin: and good for this cycle. I think

90 00:10:37.220 00:10:39.890 Amber Lin: anything else that comes to your mind.

91 00:10:42.140 00:10:48.180 Casie Aviles: Hmm, yeah, not really like, I guess the only

92 00:10:48.760 00:10:52.450 Casie Aviles: thing. Yeah, I’m only thinking about the trainer. But right now, like.

93 00:10:52.860 00:10:53.800 Amber Lin: Yeah.

94 00:10:55.290 00:10:59.510 Casie Aviles: I think that’s about it for me. Like, if

95 00:11:00.230 00:11:02.420 Casie Aviles: like, how we get them to use it, or

96 00:11:02.760 00:11:11.600 Casie Aviles: if they, if the ui is fine with them. Or do we need Google chat? Because I think Google Chat has its own problems when we try to deploy there.

97 00:11:12.170 00:11:33.659 Amber Lin: We can probably survive without putting it in Google Chat, because ultimately they still have to copy whatever. Even if it’s in Google Chat, they have to copy and paste what it gives to the central docs doesn’t make a difference where where they copy and paste from, and there’s only a few trainers that use it. So I think it’d be fine, like, I think that’s a lot less of a priority.

98 00:11:34.330 00:11:34.800 Casie Aviles: Okay.

99 00:11:34.800 00:11:37.110 Amber Lin: A lot of it, I guess, is

100 00:11:38.240 00:11:49.759 Amber Lin: getting it deployed, which is not really engineering problem. That’s that’s the problem for me and Janice, so I won’t trouble you with that like. I don’t think I don’t think that’s a good use of your time.

101 00:11:50.960 00:11:56.010 Casie Aviles: So it’s going to be more on just testing and making sure that it’s ready for them to use on my end.

102 00:11:56.010 00:12:01.289 Amber Lin: Yeah. Yeah. Now that I now that we look at it, I think that’s I think that’s true.

103 00:12:02.020 00:12:03.500 Amber Lin: Do you know, what

104 00:12:04.610 00:12:08.939 Amber Lin: do you understand what these 2 tickets are talking about. I could flesh them out more.

105 00:12:14.710 00:12:19.720 Casie Aviles: Okay, let me see. Okay, let’s take a closer look at this ticket.

106 00:12:24.580 00:12:29.519 Casie Aviles: Hmm, okay. So this is similar to what Scott did. Right? Like, he.

107 00:12:29.520 00:12:29.950 Amber Lin: Yeah.

108 00:12:29.950 00:12:31.150 Casie Aviles: Passed it through.

109 00:12:31.970 00:12:35.160 Casie Aviles: Okay, yeah. I mean, we could do a

110 00:12:36.100 00:12:42.669 Casie Aviles: yeah, we could do like we could pass it through chat, Gpt, and just identify what needs. What else is missing but

111 00:12:44.030 00:12:46.949 Casie Aviles: I think I might be wrong here, but

112 00:12:47.480 00:12:53.460 Casie Aviles: I guess at the end of the day, like it’s it’s the trainers final. Say, what is actually missing.

113 00:12:53.460 00:12:54.940 Amber Lin: Yeah, totally.

114 00:12:55.950 00:13:06.710 Amber Lin: I guess the best we can do here is run it through Chatgpt, and tell them, Hey, this is what we think is missing, and you guys can go update if it is actually missing. I’ll say that.

115 00:13:06.710 00:13:07.360 Casie Aviles: Yes.

116 00:13:07.360 00:13:08.450 Amber Lin: I guess

117 00:13:08.650 00:13:20.839 Amber Lin: I guess the 1st thing we need to do before we say there’s content missing is that we need to do the formatting pass. I think that will be a lot faster. Maybe we.

118 00:13:20.840 00:13:21.220 Casie Aviles: Okay.

119 00:13:21.220 00:13:31.819 Amber Lin: To next week. Let me see how far we’re in the cycle. Okay, we’re halfway through the cycle, maybe to next cycle, but I guess we could do.

120 00:13:32.340 00:13:33.730 Amber Lin: Do this one.

121 00:13:35.490 00:13:36.060 Casie Aviles: Okay.

122 00:13:36.743 00:13:39.479 Amber Lin: I think that will take a a while

123 00:13:39.800 00:13:44.778 Amber Lin: like for ABC, I just want your development time to be like an hour or 2.

124 00:13:45.960 00:13:46.579 Casie Aviles: Okay. Okay.

125 00:13:46.580 00:13:57.760 Amber Lin: Maybe not the most realistic. But hopefully, we can get by, because I need also need to spend time on meeting with them. So this will help keep our hours low this one.

126 00:13:59.800 00:14:00.910 Casie Aviles: Okay, yeah.

127 00:14:01.700 00:14:11.390 Casie Aviles: So yeah, I guess it’s just we’re just going to pass it through Chat Gpt, using the prompt that we have for. But friendly formatting. Like the guidelines.

128 00:14:11.600 00:14:13.858 Casie Aviles: they should be relatively quick.

129 00:14:14.720 00:14:17.109 Amber Lin: Our central dog is massive, though.

130 00:14:17.540 00:14:18.270 Amber Lin: Okay.

131 00:14:20.050 00:14:27.810 Casie Aviles: Yeah, I guess that’s the that’s the one problem. So I I guess what I could do is I could just split the central dock into

132 00:14:29.190 00:14:30.200 Casie Aviles: parts.

133 00:14:30.940 00:14:31.580 Amber Lin: Okay.

134 00:14:32.340 00:14:37.049 Casie Aviles: Yeah. And then, just you know, I mean, it’s just going to be on the formatting. So.

135 00:14:37.050 00:14:37.970 Amber Lin: Yeah, do you?

136 00:14:37.970 00:14:39.250 Casie Aviles: Should be able to do that.

137 00:14:39.250 00:14:46.089 Amber Lin: Need to pass it through chat to be, because when we, when we pass it through it, it doesn’t copy and paste any images.

138 00:14:46.310 00:14:49.229 Amber Lin: So maybe this is actually like a

139 00:14:49.600 00:14:58.929 Amber Lin: manual skim through. Because what? What doesn’t work right like, what? What is the parts that stops it from working? Is it just tables and images.

140 00:15:00.560 00:15:03.250 Casie Aviles: Yes, that’s I think those are the main

141 00:15:03.620 00:15:12.499 Casie Aviles: main things that we want to look out for. So if there are tables we want to remove them as much as possible, or like we could keep them for readability. But.

142 00:15:12.650 00:15:16.659 Casie Aviles: like create a you know, an a non table version.

143 00:15:16.870 00:15:18.250 Amber Lin: Like a copy.

144 00:15:18.730 00:15:32.590 Amber Lin: Okay, is there a cause? I think when we copy and paste the chat Gpt, it doesn’t recognize the table structure. It just it it probably it might just say it might just recognize it as text, and especially for images.

145 00:15:33.500 00:15:33.850 Casie Aviles: Yeah.

146 00:15:33.850 00:15:37.129 Amber Lin: These images over. So what do you think should be done.

147 00:15:39.620 00:15:46.470 Casie Aviles: Hmm, yeah, I guess we could do like a manual check first.st

148 00:15:47.200 00:15:49.891 Amber Lin: It’s also 200 pages, like.

149 00:15:50.340 00:15:51.410 Casie Aviles: Oh, right!

150 00:15:51.410 00:15:54.679 Amber Lin: No, I don’t want you to have to go to 200 pages.

151 00:15:54.850 00:15:57.463 Casie Aviles: Yeah, okay, yeah, makes sense. That’s a lot.

152 00:16:01.740 00:16:02.560 Casie Aviles: right?

153 00:16:02.560 00:16:09.230 Amber Lin: Like. Is there a way to like search for tables or search for images like, let me see.

154 00:16:20.510 00:16:21.200 Amber Lin: Oh.

155 00:16:21.830 00:16:26.780 Casie Aviles: Yeah, I’m not sure if we could like con control f tables. Let me see.

156 00:16:27.000 00:16:28.909 Amber Lin: Think so.

157 00:16:31.960 00:16:35.030 Amber Lin: And boom

158 00:16:44.020 00:16:46.190 Casie Aviles: Yeah, I don’t think it’s possible. So

159 00:16:47.600 00:16:51.670 Casie Aviles: I mean, I think I think it should be. I should be able to just, you know.

160 00:16:51.890 00:16:57.549 Amber Lin: Maybe we can add like a list list of figures. Let me copy.

161 00:16:58.350 00:17:04.180 Amber Lin: copy and link. Oh, I’ll slack you. I haven’t read it yet, but I’ll just slack you. We can see if it makes sense

162 00:17:05.119 00:17:05.589 Amber Lin: like.

163 00:17:05.599 00:17:06.249 Casie Aviles: Okay.

164 00:17:06.250 00:17:10.530 Amber Lin: Maybe if we add a list of figures.

165 00:17:10.829 00:17:20.000 Amber Lin: and then we just identify where those figures are, cause that it’s a figures. Probably instead.

166 00:17:20.599 00:17:28.720 Amber Lin: that is not Google docs, that is word, okay.

167 00:17:31.010 00:17:33.000 Amber Lin: So I.

168 00:17:40.220 00:17:41.660 Casie Aviles: Oh, this is their document!

169 00:17:42.010 00:17:46.410 Amber Lin: I know, I know, like oops. I didn’t read it at all.

170 00:17:49.220 00:17:53.819 Casie Aviles: Yeah, images are going to be trickier if there’s a lot, especially if there’s a lot.

171 00:17:54.340 00:17:57.110 Amber Lin: Yeah, I don’t think there’s gonna be

172 00:17:57.590 00:18:04.760 Amber Lin: that much. I just want us to be able to search instead of have to go through it manually. But oh, well.

173 00:18:05.720 00:18:15.750 Amber Lin: maybe that’s something that I could make them to like if we if we can make sure. I guess it’s just if we can make sure there’s no way that we can search it, or

174 00:18:15.950 00:18:26.389 Amber Lin: like half and half pass it through Chatgvd and half Chatgvd actually identify it. I’ll ask them to manually do it like if there’s no way I don’t want you to do the manual checking.

175 00:18:27.660 00:18:29.870 Casie Aviles: Okay, yeah. Because the only other

176 00:18:30.340 00:18:37.429 Casie Aviles: way I could think of is like you add text to each after each image. But then that’s also

177 00:18:37.630 00:18:39.000 Casie Aviles: a manual thing, right?

178 00:18:39.000 00:18:42.540 Amber Lin: I know we would have found the image on its own already.

179 00:18:43.200 00:18:43.880 Casie Aviles: Yeah.

180 00:18:46.240 00:18:52.569 Casie Aviles: there’s probably like, there’s maybe a code step to do it. But that’s I think that’s going to be more involved.

181 00:18:53.250 00:18:54.350 Amber Lin: Yeah.

182 00:18:54.770 00:18:57.860 Casie Aviles: And I’m not entirely sure how exactly.

183 00:18:57.860 00:18:59.550 Amber Lin: Yeah, that’s that’s okay.

184 00:18:59.970 00:19:00.425 Amber Lin: Awesome.

185 00:19:03.070 00:19:08.630 Amber Lin: This images are pretty fast. But like, I guess we can already.

186 00:19:09.620 00:19:14.989 Amber Lin: Yeah. Oh, okay, I’ll ask them. I’ll ask them to do it.

187 00:19:15.680 00:19:16.360 Casie Aviles: Bye, bye.

188 00:19:16.550 00:19:23.129 Amber Lin: Yeah, right now, it seems like it’s a hundred pages. I don’t know who said it was 200 pages. My bad. It’s a hundred pages.

189 00:19:24.910 00:19:29.669 Amber Lin: Okay? Oh, awesome. To check sounds good. I think that’s everything that we

190 00:19:29.900 00:19:32.574 Amber Lin: we probably would do this week.

191 00:19:35.050 00:19:46.480 Casie Aviles: Okay, so just to. Sorry. Just to recap on my end. I’m going to work on primarily on the trainer bot and just testing it and make sure that it can actually be used by the trainers right.

192 00:19:46.480 00:19:53.709 Amber Lin: Yeah, yeah, just a quick texting testing step, and then I’ll take over from there and then I’ll give you any feedback they have

193 00:19:54.435 00:19:59.239 Amber Lin: and think about, okay, is this actually priority like, do we need to do this this week?

194 00:19:59.450 00:20:00.470 Amber Lin: And

195 00:20:00.890 00:20:16.849 Amber Lin: for the current central Doc, we have one where we want to make it formatted properly, and 2, we want to identify gaps, the gaps. I think we’ll push it to next week. The formatting I will. If the trainer bot works, we’re gonna ask them to do it.

196 00:20:17.390 00:20:18.020 Amber Lin: So if.

197 00:20:18.020 00:20:18.480 Casie Aviles: Okay. Then.

198 00:20:18.480 00:20:36.299 Amber Lin: Like, maybe there’s I. I scrolled in a central doc like, I think, even in the 1st 10 pages there was one. It was one that had a table. Let’s just copy. Let’s let’s just test with that like, see if we can reformat it to be friendlier, and then we’ll just send it over, and they can do the rest.

199 00:20:37.440 00:20:38.790 Casie Aviles: Okay. Sounds good.

200 00:20:38.790 00:20:39.800 Amber Lin: Yeah, awesome.

201 00:20:40.360 00:20:42.840 Amber Lin: That’s great. That’s all we need to do this week.

202 00:20:43.050 00:20:44.130 Amber Lin: Thank you.

203 00:20:44.770 00:20:47.270 Casie Aviles: Alright, yeah. Thanks. Amber.

204 00:20:47.902 00:20:53.907 Amber Lin: How’s everything with the AI side? I know, I have not been involved is it like is it, very, tough right. Now.

205 00:20:55.120 00:21:04.259 Casie Aviles: I don’t think so. I mean with Utam there, I think it’s just much, you know, easier to just communicate. And you know, like, since he’s the one who has

206 00:21:04.630 00:21:11.959 Casie Aviles: comments, it’s easy for him to give it directly to us, and I think expectations are managed much easier.

207 00:21:13.580 00:21:25.049 Amber Lin: I see I kinda like I was thinking about it last week was like, what is the difference between Uta leading this team and me leading his team because I was struggling like it felt so hard. And I

208 00:21:25.050 00:21:25.500 Amber Lin: yeah.

209 00:21:25.950 00:21:36.550 Amber Lin: our faults. It’s just like I don’t understand why, when he, when he steps in like, why does it just go so fast like I don’t understand. Like, what do you think is the difference.

210 00:21:37.210 00:21:43.019 Casie Aviles: I mean. I’m not entirely sure, either, but I think it’s just that he’s. You know he’s

211 00:21:43.610 00:21:48.600 Casie Aviles: I I don’t know. I don’t know if it’s the right term to use. But I guess he’s the one who’s

212 00:21:49.010 00:21:50.640 Casie Aviles: basically

213 00:21:50.780 00:21:56.509 Casie Aviles: he’s the one asking for the stuff that needs to be done like he’s our key. I I see

214 00:21:56.700 00:21:59.390 Casie Aviles: key stakeholder or something. I’m not sure if the term

215 00:21:59.730 00:22:03.479 Casie Aviles: is correct, but you know it’s like he’s like the client right? And.

216 00:22:03.480 00:22:03.950 Amber Lin: Yeah, like.

217 00:22:03.950 00:22:04.690 Casie Aviles: Doing it.

218 00:22:04.950 00:22:09.870 Casie Aviles: So it’s much, you know, much easier and much he can immediately say.

219 00:22:10.340 00:22:14.479 Casie Aviles: and he could immediately check the pulse of you know how it’s going. I think that’s

220 00:22:14.660 00:22:17.210 Casie Aviles: what he wants at the end of the day, and

221 00:22:17.330 00:22:19.020 Casie Aviles: I don’t know. I guess maybe

222 00:22:20.506 00:22:27.710 Casie Aviles: it’s just not clear when it’s when we do it through slack or when it was us. I mean, I I don’t know. It shouldn’t be that

223 00:22:29.560 00:22:31.959 Casie Aviles: I don’t know. Yeah.

224 00:22:33.680 00:22:38.640 Amber Lin: Yeah. And so I was asking Miguel, too. And I asked Utah as well. I was like, What do you like?

225 00:22:38.750 00:22:43.369 Amber Lin: Why do you just why are you just more effective? And I don’t know.

226 00:22:46.930 00:22:47.365 Casie Aviles: Yeah.

227 00:22:48.220 00:22:53.948 Amber Lin: Maybe it’s because he has some technical knowledge, and maybe because he is the boss.

228 00:22:54.330 00:22:57.075 Casie Aviles: Yeah, yeah, that’s what that’s what I’m trying to say.

229 00:22:57.350 00:22:59.100 Amber Lin: So I don’t know.

230 00:23:00.630 00:23:01.120 Casie Aviles: Yeah.

231 00:23:03.230 00:23:09.850 Amber Lin: Okay, sounds good. I mean, I mean, we work together also a lot on other projects. Hopefully, I get to work with Miguel again.

232 00:23:11.030 00:23:11.574 Casie Aviles: Yeah.

233 00:23:12.400 00:23:12.950 Amber Lin: Okay.

234 00:23:13.060 00:23:18.279 Amber Lin: Sounds good. Thank you for the call. I’ll I’ll slack you if I have very anything else.

235 00:23:18.570 00:23:20.299 Casie Aviles: Alright, sure! Thanks, amber.

236 00:23:20.700 00:23:21.610 Amber Lin: Bye, bye.

237 00:23:22.470 00:23:23.050 Casie Aviles: Bye.