Meeting Title: AI Team Case Study Process Sync Date: 2025-11-07 Meeting participants: Hannah Wang, Gabriel Lam
WEBVTT
1 00:00:10.260 ⇒ 00:00:12.110 Gabriel Lam: Fantastic, thank you.
2 00:00:12.110 ⇒ 00:00:18.639 Hannah Wang: Okay, great. No worries. How… how are you doing? How was your first or second week-ish?
3 00:00:18.930 ⇒ 00:00:20.589 Gabriel Lam: I guess it’s like…
4 00:00:21.290 ⇒ 00:00:30.879 Gabriel Lam: first week, pretty much, things move fast. Oh yeah, oh yeah. In ways that I’m not… well, I’m used to a ton of red tape and a ton of…
5 00:00:31.140 ⇒ 00:00:31.879 Hannah Wang: I know.
6 00:00:31.880 ⇒ 00:00:37.329 Gabriel Lam: like, hey, you gotta get buy-in from this person, this person, this person, and I’m like, okay, you know.
7 00:00:37.560 ⇒ 00:00:40.299 Gabriel Lam: There’s gonna be some downtime between…
8 00:00:40.590 ⇒ 00:00:43.299 Gabriel Lam: Like, the multiple things, it’s like, no.
9 00:00:43.450 ⇒ 00:00:46.339 Hannah Wang: No. Which I appreciate.
10 00:00:46.340 ⇒ 00:00:48.619 Gabriel Lam: But it is something to get used to.
11 00:00:48.620 ⇒ 00:01:01.319 Hannah Wang: Yeah, it… I… Also… come from… A slow-paced, big corporation,
12 00:01:01.740 ⇒ 00:01:04.140 Hannah Wang: So I get you, yeah, we…
13 00:01:04.260 ⇒ 00:01:11.829 Hannah Wang: Yeah, this is why, for me, like, this is not sustainable, because it’s not… it’s too fast-paced, but some people like it, so…
14 00:01:11.830 ⇒ 00:01:12.430 Gabriel Lam: Yeah.
15 00:01:12.930 ⇒ 00:01:13.330 Hannah Wang: Yeah.
16 00:01:13.330 ⇒ 00:01:13.910 Gabriel Lam: Me.
17 00:01:14.220 ⇒ 00:01:18.470 Hannah Wang: So you’re doing, like, PMing for… AI team?
18 00:01:18.470 ⇒ 00:01:21.619 Gabriel Lam: At the moment, it’s just, like, the internal stuff, I think.
19 00:01:21.890 ⇒ 00:01:22.330 Hannah Wang: Yeah.
20 00:01:22.440 ⇒ 00:01:26.590 Gabriel Lam: I told them I wanted to ramp on a little… or ramp up a little slowly.
21 00:01:26.790 ⇒ 00:01:27.130 Hannah Wang: Yeah.
22 00:01:27.130 ⇒ 00:01:30.400 Gabriel Lam: but, I think GTM was…
23 00:01:30.520 ⇒ 00:01:35.889 Gabriel Lam: something I’m interested in, personally, so I was like, hey, I’ll take visibility on that one, but not…
24 00:01:37.110 ⇒ 00:01:43.560 Gabriel Lam: you know, maybe not to the same degree that you, or I guess now, Joseph, is gonna be doing.
25 00:01:44.140 ⇒ 00:01:48.409 Gabriel Lam: But yeah, I… I know you’re busy, so we can dive right in.
26 00:01:48.410 ⇒ 00:01:49.010 Hannah Wang: No.
27 00:01:49.180 ⇒ 00:01:49.880 Gabriel Lam: Oh, you’re good.
28 00:01:49.880 ⇒ 00:01:54.090 Hannah Wang: Good. I, I’m… I’m ready to not work.
29 00:01:54.090 ⇒ 00:01:55.270 Gabriel Lam: I love that.
30 00:01:55.270 ⇒ 00:02:06.680 Hannah Wang: Don’t want to record that one. No, it’s okay. I feel like people have said things in meetings. People don’t really look at these, except the people that were in it, you know, so…
31 00:02:06.930 ⇒ 00:02:07.660 Gabriel Lam: Yeah.
32 00:02:11.200 ⇒ 00:02:14.510 Gabriel Lam: Well, I hope you get rest, I think that’s super important.
33 00:02:15.120 ⇒ 00:02:17.150 Hannah Wang: Yeah, you know…
34 00:02:19.020 ⇒ 00:02:25.910 Gabriel Lam: Yeah, I don’t know. I mean, you’ve got two jobs, so I know that’s a tough sell, but I get it.
35 00:02:26.270 ⇒ 00:02:33.160 Hannah Wang: I don’t know if my photography counts as a second job, though. It’s more like… Whoa.
36 00:02:33.720 ⇒ 00:02:45.249 Hannah Wang: Yeah, some… some weeks are, like, more full scent, than others. Like, this whole week, I didn’t edit anything, because I was just so tired. So… I feel like the freelancing…
37 00:02:46.070 ⇒ 00:02:50.070 Hannah Wang: Freelancing stuff is… Yeah.
38 00:02:50.460 ⇒ 00:02:58.569 Gabriel Lam: It’s training in other ways. Yeah. Do you think you’ll get to a point in which the editing is gonna become sort of… I mean, it’s a little mindless already.
39 00:02:58.690 ⇒ 00:03:07.039 Hannah Wang: Yeah, I enjoy doing it, but it’s just more screen time, and I try… I don’t want to, like, constantly look at my screen.
40 00:03:07.170 ⇒ 00:03:18.600 Hannah Wang: But… Yeah, it’s… I don’t know, I’m just going at it, and I think also just…
41 00:03:19.110 ⇒ 00:03:25.159 Hannah Wang: Yeah, with, like, the… Yeah, there’s just been a lot of talk about, like,
42 00:03:27.020 ⇒ 00:03:30.989 Hannah Wang: like, what I posted in the channel, the prayer channel.
43 00:03:31.120 ⇒ 00:03:31.750 Gabriel Lam: Yeah.
44 00:03:31.750 ⇒ 00:03:37.600 Hannah Wang: like, with my friend, and also, like, I have a lot of other friends, and there’s just been, like, a lot of death lately, and…
45 00:03:37.600 ⇒ 00:03:38.350 Gabriel Lam: Sorry.
46 00:03:38.740 ⇒ 00:03:43.560 Hannah Wang: That’s okay, that, you know, we have hope, all that stuff, you know, but…
47 00:03:43.560 ⇒ 00:03:44.899 Gabriel Lam: Yeah, that’s true.
48 00:03:44.900 ⇒ 00:03:46.190 Hannah Wang: It’s still hard, I think.
49 00:03:46.190 ⇒ 00:03:47.169 Gabriel Lam: It’s tough, yeah.
50 00:03:47.170 ⇒ 00:03:53.369 Hannah Wang: Yeah, when people pass and stuff, so… yeah, it’s just, like, a lot of things,
51 00:03:53.590 ⇒ 00:04:01.739 Hannah Wang: just on my mind, I guess, and then… yeah. Anyway, so, that’s… that’s me.
52 00:04:01.740 ⇒ 00:04:02.070 Gabriel Lam: Yeah.
53 00:04:02.070 ⇒ 00:04:11.950 Hannah Wang: But, yeah, how are… how are you doing? I know it’s T-3 weeks since the lawyer said you’d hear about your visa, right?
54 00:04:11.950 ⇒ 00:04:19.019 Gabriel Lam: I suppose, supposedly 3 weeks. Do you think the government shutdown is affecting that?
55 00:04:19.029 ⇒ 00:04:24.439 Hannah Wang: You know, they said, we have no idea, but… Okay.
56 00:04:25.010 ⇒ 00:04:28.810 Gabriel Lam: They also did say, it is not out of the ordinary.
57 00:04:28.950 ⇒ 00:04:30.690 Hannah Wang: Which… ugh.
58 00:04:31.970 ⇒ 00:04:37.180 Gabriel Lam: The goal was to move to, like, the next step of the process today, to, like, send something out.
59 00:04:37.350 ⇒ 00:04:37.940 Hannah Wang: Hmm…
60 00:04:37.940 ⇒ 00:04:43.050 Gabriel Lam: but I’m still awaiting some letters from some professors.
61 00:04:43.770 ⇒ 00:04:44.370 Hannah Wang: Ugh.
62 00:04:44.370 ⇒ 00:04:50.790 Gabriel Lam: So, that… I don’t know. I’ve already pushed them, and I’m like, I don’t want to be the guy who…
63 00:04:51.000 ⇒ 00:04:52.889 Gabriel Lam: spans your email, but I might have to.
64 00:04:52.890 ⇒ 00:04:54.060 Hannah Wang: Yeah.
65 00:04:54.060 ⇒ 00:04:55.440 Gabriel Lam: It is what it is.
66 00:04:55.440 ⇒ 00:04:58.330 Hannah Wang: Gotta be ruthless with that stuff.
67 00:04:58.330 ⇒ 00:05:04.219 Gabriel Lam: So… Yeah, so I think Cherry and I are just sort of praying for…
68 00:05:04.780 ⇒ 00:05:12.959 Gabriel Lam: like, what the season means. We also had our… first, I guess, engagement counseling session.
69 00:05:12.960 ⇒ 00:05:14.240 Hannah Wang: Oh, wow.
70 00:05:14.240 ⇒ 00:05:17.370 Gabriel Lam: really good So…
71 00:05:17.370 ⇒ 00:05:18.029 Hannah Wang: Why did you?
72 00:05:18.030 ⇒ 00:05:19.319 Gabriel Lam: Can you and Eric?
73 00:05:19.720 ⇒ 00:05:20.650 Gabriel Lam: like…
74 00:05:20.770 ⇒ 00:05:26.960 Gabriel Lam: How did you guys, do you have… did you meet with a pastor at church, or was it someone else?
75 00:05:27.580 ⇒ 00:05:35.900 Hannah Wang: Yeah, we met with, the church from our previous… the pastor from our previous church, the one in Bellflower, not our current church.
76 00:05:36.250 ⇒ 00:05:43.939 Hannah Wang: They recon… well, there’s, like, two paths. You can either do pre-engagement or premarital, but I feel like we started with…
77 00:05:44.450 ⇒ 00:05:52.280 Hannah Wang: not… not both. I feel like it’s the same content, except that premarital talks about like a…
78 00:05:52.770 ⇒ 00:06:00.369 Hannah Wang: yeah, I feel weird saying this, saying this on a recorded meeting, but it talks about, like, intimacy, and I feel like in pre-engagement.
79 00:06:00.800 ⇒ 00:06:11.169 Hannah Wang: I think they… at least our church, like, we didn’t… you don’t talk about that when you’re not engaged yet, just, I guess, for, like, to not stumble you, etc, etc. But…
80 00:06:11.560 ⇒ 00:06:30.259 Hannah Wang: yeah, we, like, started with pre-engagement, and then we got engaged, and then it just turned into premarital, but it’s, like, the same topic. I see, I see. So ours was, like, 6 sessions, and I think we just went through, like, a work… a small workbook, but most… and then at the end of every session, it’s like, oh, is there anything you want to, like.
81 00:06:30.430 ⇒ 00:06:35.200 Hannah Wang: Talk about real time that’s happening, so…
82 00:06:35.500 ⇒ 00:06:41.580 Hannah Wang: Yeah, I know a lot of, like, it’s very common, I think, to get, like, counseling and stuff. I think for us, like.
83 00:06:41.790 ⇒ 00:06:47.469 Hannah Wang: We’re both pretty chill, and I think…
84 00:06:48.170 ⇒ 00:06:55.050 Hannah Wang: it’s a blessing, obviously, like, I don’t think both of us have a ton of baggage, I guess, to, like, work through.
85 00:06:56.900 ⇒ 00:07:11.189 Hannah Wang: him less so than me, so I think there weren’t a ton of, like, hard conversations that we had, and I think Eric is very, very chill, so that, like, helped.
86 00:07:11.190 ⇒ 00:07:11.809 Gabriel Lam: Oh my god.
87 00:07:12.070 ⇒ 00:07:16.690 Hannah Wang: I think he holds onto things pretty loosely and, like, doesn’t…
88 00:07:17.820 ⇒ 00:07:25.009 Hannah Wang: Yeah, anyway, so… yeah, we did, we did do pre… pre-engagement slash premarital.
89 00:07:25.010 ⇒ 00:07:26.000 Gabriel Lam: That’s great.
90 00:07:27.050 ⇒ 00:07:33.080 Hannah Wang: Yeah. Are you… wish… Are you thinking about… Next steps.
91 00:07:33.580 ⇒ 00:07:35.879 Hannah Wang: In the foreseeable future?
92 00:07:35.880 ⇒ 00:07:39.879 Gabriel Lam: Yeah, well… I think we both…
93 00:07:40.410 ⇒ 00:07:43.089 Gabriel Lam: I think it cleared up certain things.
94 00:07:43.500 ⇒ 00:07:49.299 Gabriel Lam: Mainly… I think we both had a… Pretty strong.
95 00:07:50.350 ⇒ 00:08:02.469 Gabriel Lam: idea of, like, oh, this is what we need to do before we get married, or, like, this… we need to be ready in this way, or we need to know some level of certainty. But I think the session sort of…
96 00:08:02.850 ⇒ 00:08:05.130 Gabriel Lam: Helped us break that down and be like, well.
97 00:08:06.190 ⇒ 00:08:12.700 Gabriel Lam: I think something that, that, our… Mentors said was…
98 00:08:13.120 ⇒ 00:08:28.139 Gabriel Lam: like, isn’t it amazing if you could navigate through that process with… while you’re married, as opposed to feeling like you need to figure it out? I think at the same time, we were able to be honest, and we were just like, hey, we want to…
99 00:08:28.500 ⇒ 00:08:33.720 Gabriel Lam: Honor and respect our family’s wishes, which is to let them know early and take our time there.
100 00:08:34.020 ⇒ 00:08:34.630 Hannah Wang: Yeah.
101 00:08:34.630 ⇒ 00:08:37.250 Gabriel Lam: And that… that in and of itself…
102 00:08:37.350 ⇒ 00:08:42.319 Gabriel Lam: Is… can be seen as an adequate reason for, you know, whatever timeline we have.
103 00:08:42.970 ⇒ 00:08:46.539 Gabriel Lam: so I think that was a big breakthrough, but…
104 00:08:46.540 ⇒ 00:08:47.060 Hannah Wang: Yeah.
105 00:08:47.060 ⇒ 00:08:49.519 Gabriel Lam: We’re… we’re taking it one step at a time.
106 00:08:49.520 ⇒ 00:08:50.630 Hannah Wang: Yeah, totally.
107 00:08:51.370 ⇒ 00:08:53.760 Gabriel Lam: So… Yeah…
108 00:08:53.760 ⇒ 00:09:02.020 Hannah Wang: Wow, exciting! Yeah. I definitely relate to the feeling like I have to have everything figured out.
109 00:09:02.020 ⇒ 00:09:02.650 Gabriel Lam: Yeah.
110 00:09:02.650 ⇒ 00:09:08.339 Hannah Wang: Or getting married type of thing, yeah, so…
111 00:09:08.510 ⇒ 00:09:13.089 Hannah Wang: I’m here to tell you, it’s a lot nicer to work through it with someone versus.
112 00:09:13.090 ⇒ 00:09:13.930 Gabriel Lam: Alright.
113 00:09:14.290 ⇒ 00:09:15.909 Hannah Wang: Yeah, trying to, like, you know.
114 00:09:16.510 ⇒ 00:09:24.609 Hannah Wang: Yeah. It’s just more sweet, I think, like, working together, like, with your partner, and working through all that,
115 00:09:25.050 ⇒ 00:09:33.289 Hannah Wang: Yeah, it’s sweet. So, yeah, you don’t need to have everything figured out. In fact, you probably won’t, if that’s okay.
116 00:09:33.290 ⇒ 00:09:34.240 Gabriel Lam: Yep.
117 00:09:35.350 ⇒ 00:09:35.700 Gabriel Lam: Yeah.
118 00:09:35.700 ⇒ 00:09:37.730 Hannah Wang: Awesome. Cool.
119 00:09:38.180 ⇒ 00:09:47.479 Gabriel Lam: How exciting! Well, it’s a lot of stuff going on, though, like, with legal stuff, but then also counseling, and marriage, and all that stuff.
120 00:09:47.890 ⇒ 00:09:48.840 Hannah Wang: Yeah.
121 00:09:48.980 ⇒ 00:09:50.579 Gabriel Lam: Social features all set.
122 00:09:51.210 ⇒ 00:09:52.150 Gabriel Lam: Okay.
123 00:09:52.680 ⇒ 00:09:58.120 Hannah Wang: Alright, yeah. Let’s dive in. Sure, let’s dive in. Yeah, what can I give you feedback on?
124 00:09:59.640 ⇒ 00:10:03.100 Gabriel Lam: This morning, we were talking about…
125 00:10:03.620 ⇒ 00:10:05.650 Hannah Wang: the… the next week, and what…
126 00:10:05.670 ⇒ 00:10:08.119 Gabriel Lam: the AI team had planned for next week.
127 00:10:08.530 ⇒ 00:10:13.390 Gabriel Lam: Something that Utam had brought up was… how…
128 00:10:14.900 ⇒ 00:10:20.769 Gabriel Lam: difficult it has been for, I guess, specifically you to, like.
129 00:10:22.090 ⇒ 00:10:35.240 Gabriel Lam: distribute work examples, like, whether it’s blog posts, case studies, or whatnot, and they were saying that the users, like, there’s just a big backlog, and that’s something that, you know, him and Robert really want to get out.
130 00:10:35.300 ⇒ 00:10:36.030 Hannah Wang: Yeah.
131 00:10:36.470 ⇒ 00:10:41.210 Gabriel Lam: So, I’m curious… How you been going about it.
132 00:10:41.260 ⇒ 00:10:42.610 Hannah Wang: like…
133 00:10:42.760 ⇒ 00:10:54.759 Gabriel Lam: are there pages or resources or templates that you typically go to? Like, where is the database? I guess, maybe just walk me through, like, hey, if I asked you to
134 00:10:54.920 ⇒ 00:10:57.990 Gabriel Lam: To… do another case study.
135 00:10:58.230 ⇒ 00:10:59.030 Hannah Wang: Yeah.
136 00:10:59.050 ⇒ 00:11:00.960 Gabriel Lam: Tomorrow, or I guess… Yep.
137 00:11:01.100 ⇒ 00:11:05.340 Gabriel Lam: by Monday, like, how would you start? Maybe that’s a better question.
138 00:11:05.340 ⇒ 00:11:10.850 Hannah Wang: Oh, okay, great. This is… yeah, this is… let me just share my screen. Sure.
139 00:11:11.780 ⇒ 00:11:14.380 Hannah Wang: It’s so funny you say that, like, I had a call with
140 00:11:14.720 ⇒ 00:11:19.510 Hannah Wang: Robert on Wednesday, I think, and he.
141 00:11:19.510 ⇒ 00:11:20.600 Gabriel Lam: Huh, okay.
142 00:11:20.600 ⇒ 00:11:29.629 Hannah Wang: Yeah, basically, it was just the discussion of, okay, yeah, case studies, like, how can we take Utam and Robert out of the loop in terms of getting that in front of me?
143 00:11:30.060 ⇒ 00:11:32.569 Hannah Wang: Cause usually the process is, like.
144 00:11:32.570 ⇒ 00:11:32.970 Gabriel Lam: I love it.
145 00:11:32.970 ⇒ 00:11:39.950 Hannah Wang: oh, Utam and Robert obviously know basically all the projects that are going on across clients, and they’re the ones that kind of.
146 00:11:39.950 ⇒ 00:11:41.059 Gabriel Lam: You should apply?
147 00:11:41.060 ⇒ 00:12:00.729 Hannah Wang: A classic example is, like, right here. It’s like, oh, case study proposal, like, this. Case study proposal this. Like, for me, like, I… I don’t really know, like, have visibility on… on all the stuff that goes on, both with internal work and with client work, so usually Tom and Robert are the ones to kind of be like, oh, we should do this.
148 00:12:00.730 ⇒ 00:12:01.670 Gabriel Lam: I had to jump out.
149 00:12:01.670 ⇒ 00:12:03.660 Hannah Wang: Before, we had, like, proper PM,
150 00:12:04.310 ⇒ 00:12:12.139 Hannah Wang: DMing, like, these… obviously, they’re just messages, so they get lost unless, like, someone tracks it properly, so…
151 00:12:12.140 ⇒ 00:12:14.770 Gabriel Lam: Katie, it is your last week, so…
152 00:12:14.770 ⇒ 00:12:28.280 Hannah Wang: So, this Notion page is kind of outdated. This was here before I came on, and this is how I think they were keeping track of all the case studies.
153 00:12:28.890 ⇒ 00:12:40.010 Hannah Wang: So, it’s on my to-do to, like, comb through this and update it, and basically see if we already created one, because I haven’t retroactively gone back and looked at.
154 00:12:40.010 ⇒ 00:12:40.869 Gabriel Lam: Looks at all.
155 00:12:40.870 ⇒ 00:12:43.029 Hannah Wang: All of them, and added the case study.
156 00:12:43.030 ⇒ 00:12:43.325 Gabriel Lam: like.
157 00:12:43.620 ⇒ 00:12:45.290 Hannah Wang: So…
158 00:12:45.290 ⇒ 00:12:45.950 Gabriel Lam: Okay.
159 00:12:46.200 ⇒ 00:12:49.109 Hannah Wang: Yeah, if you ask me to create a case study.
160 00:12:49.270 ⇒ 00:12:49.850 Gabriel Lam: slides.
161 00:12:49.850 ⇒ 00:12:50.630 Hannah Wang: By Monday.
162 00:12:50.630 ⇒ 00:12:56.589 Gabriel Lam: If you needed to, like, write a case study and, like, send it out to LinkedIn or something, you know? Yeah.
163 00:12:56.630 ⇒ 00:12:59.319 Hannah Wang: I would first…
164 00:13:00.930 ⇒ 00:13:06.160 Hannah Wang: Is this, like, an existing… like, do I know if this is an existing case study or not, or is it, like.
165 00:13:06.160 ⇒ 00:13:09.720 Gabriel Lam: Completely new. I think typically it would be existing…
166 00:13:09.960 ⇒ 00:13:12.899 Gabriel Lam: At least maybe for now, just because there’s a big backlog.
167 00:13:13.550 ⇒ 00:13:18.899 Hannah Wang: Existing as in, like, Okay, so let me walk you… sorry, I’m gonna ram.
168 00:13:18.900 ⇒ 00:13:19.480 Gabriel Lam: Okay, no, you’re.
169 00:13:19.480 ⇒ 00:13:33.769 Hannah Wang: So, for a lot of these case studies, they don’t have requirements, and what I mean by requirements is, like, the copy that I can use in Figma, when I create the case study. So,
170 00:13:33.910 ⇒ 00:13:37.430 Hannah Wang: This is our case study page, so…
171 00:13:37.430 ⇒ 00:13:38.050 Gabriel Lam: Yeah, okay.
172 00:13:38.050 ⇒ 00:13:46.079 Hannah Wang: Over here, these are all our final case studies for data, and then these are all our final case studies for AI, and so…
173 00:13:46.080 ⇒ 00:13:46.530 Gabriel Lam: can’t.
174 00:13:46.530 ⇒ 00:13:48.080 Hannah Wang: Yeah, like, I… I need…
175 00:13:48.080 ⇒ 00:13:48.460 Gabriel Lam: So that’s.
176 00:13:48.460 ⇒ 00:13:55.319 Hannah Wang: I need this copy, right? Like, I… or else I can’t create the case study. So what I do is I…
177 00:13:55.320 ⇒ 00:13:56.620 Gabriel Lam: PM. Yes.
178 00:13:56.620 ⇒ 00:14:00.880 Hannah Wang: talk to a POC, like, whoever worked on the project, for example.
179 00:14:00.880 ⇒ 00:14:01.210 Gabriel Lam: you’.
180 00:14:01.210 ⇒ 00:14:04.460 Hannah Wang: And I basically scheduled time to interview them.
181 00:14:04.460 ⇒ 00:14:04.850 Gabriel Lam: Okay.
182 00:14:04.850 ⇒ 00:14:06.020 Hannah Wang: And…
183 00:14:06.020 ⇒ 00:14:08.089 Gabriel Lam: With that being the schedules.
184 00:14:08.090 ⇒ 00:14:12.670 Hannah Wang: So… I’ll, like, try to send you all these links, later, but…
185 00:14:12.670 ⇒ 00:14:13.419 Gabriel Lam: Which is not a place.
186 00:14:13.420 ⇒ 00:14:30.229 Hannah Wang: this kind of goes through, like, what I do to create the case study. So first, I gather the requirements, so I book a time with someone, whoever’s, like, the subject matter expert of that particular project, and I just ask them, basically, more or less, like, these questions, and interview them to get all the…
187 00:14:30.700 ⇒ 00:14:37.700 Hannah Wang: all the information, and then what I do is I, use AI to
188 00:14:38.210 ⇒ 00:14:41.260 Hannah Wang: Paste the transcript from the meeting.
189 00:14:41.630 ⇒ 00:14:43.489 Gabriel Lam: Oh, into the case study architect.
190 00:14:43.490 ⇒ 00:14:46.760 Hannah Wang: Yeah, and did this… ugh, this is, like, so…
191 00:14:46.800 ⇒ 00:15:05.539 Hannah Wang: I feel like I could combine both of these GPTs together, but yeah, I paste it in, and then after that, I make sure to align it with our brand messaging, so we have another GPT for that. So I take the output of 2, I paste it into 3, and then it gives me a format that I can kind of use, and the format looks like
192 00:15:05.720 ⇒ 00:15:22.889 Hannah Wang: more or less looks like, yeah, all this. Which, even this format, I don’t know if it’s the best. Like, I’m wondering if we can, you know, think about other ways to, I guess, frame our case study,
193 00:15:23.260 ⇒ 00:15:33.389 Hannah Wang: But yeah, they all kind of look the same right now, which, again, I don’t know if it’s good or not. And then I design it in Figma, which is here, and then I usually ask…
194 00:15:33.390 ⇒ 00:15:49.850 Hannah Wang: Before, I was asking Uten to review all of it, but now I try to ask, like, whoever I interviewed to look at it, and then if Uten wants to look at it, he can, but he usually forgets, which is fine. So… and then after that, I,
195 00:15:50.590 ⇒ 00:15:57.800 Hannah Wang: export this, and basically go through a kind of complicated process via GitHub to.
196 00:15:57.800 ⇒ 00:15:59.830 Gabriel Lam: Got it.
197 00:15:59.830 ⇒ 00:16:01.800 Hannah Wang: to here.
198 00:16:01.800 ⇒ 00:16:03.089 Gabriel Lam: Make sure all three of us agree.
199 00:16:03.090 ⇒ 00:16:09.180 Hannah Wang: Which is where all of our assets live. So, once you upload it, like, it’s gonna…
200 00:16:09.430 ⇒ 00:16:20.909 Hannah Wang: be here, and then I usually try to edit it so that the title and the description are more, like, user-friendly to, like, send in emails or, like, something like that. And then I also add, like, metadata
201 00:16:21.490 ⇒ 00:16:37.079 Hannah Wang: In the sense, like, oh, this is an AI case study, this is a data one, this is a case study industry, fill all those out. And then another step is, I think when they’re trying to create slides.
202 00:16:37.080 ⇒ 00:16:46.900 Gabriel Lam: On Google Slides, I feel like… I honestly don’t know if they use any of these, but at a certain point, we wanted to create a deck version of it.
203 00:16:46.900 ⇒ 00:16:48.180 Hannah Wang: So.
204 00:16:48.180 ⇒ 00:16:49.779 Gabriel Lam: get it? Like, what questions are you.
205 00:16:49.780 ⇒ 00:16:56.539 Hannah Wang: There’s an appendix slide on Figma, because it’s a lot easier to design in Figma for me.
206 00:16:56.540 ⇒ 00:16:57.630 Gabriel Lam: I feel that.
207 00:16:57.970 ⇒ 00:16:59.969 Hannah Wang: Yeah, Google Slides is terrible.
208 00:16:59.970 ⇒ 00:17:01.160 Gabriel Lam: Yes.
209 00:17:01.160 ⇒ 00:17:07.560 Hannah Wang: So I design it here, I export it as a PNG, and then I just, like, paste it here.
210 00:17:07.560 ⇒ 00:17:07.880 Gabriel Lam: Yeah.
211 00:17:08.520 ⇒ 00:17:09.529 Gabriel Lam: Regardless of your.
212 00:17:09.530 ⇒ 00:17:11.409 Hannah Wang: Yeah, so that’s the whole process.
213 00:17:11.410 ⇒ 00:17:15.299 Gabriel Lam: So I think from, like, that… I didn’t anticipate that to be.
214 00:17:15.300 ⇒ 00:17:23.599 Hannah Wang: 2 to 5… okay, I guess 2 to 4 is seamless, like, it’s easy, like, I can do it all by myself, or ask Anne or other designers to do it.
215 00:17:23.609 ⇒ 00:17:26.159 Gabriel Lam: I think the bottleneck is…
216 00:17:26.160 ⇒ 00:17:27.160 Hannah Wang: Definitely…
217 00:17:27.160 ⇒ 00:17:27.970 Gabriel Lam: have a link.
218 00:17:27.970 ⇒ 00:17:30.800 Hannah Wang: Even before step number one, which is, like.
219 00:17:30.800 ⇒ 00:17:31.530 Gabriel Lam: if…
220 00:17:31.530 ⇒ 00:17:35.699 Hannah Wang: getting what case study I should even be interviewing for.
221 00:17:35.700 ⇒ 00:17:36.220 Gabriel Lam: have.
222 00:17:36.790 ⇒ 00:17:37.350 Gabriel Lam: in nature.
223 00:17:37.350 ⇒ 00:17:49.020 Hannah Wang: So that goes back to, like, yeah, usually Tom and Robert are the ones that are like, oh, this case study, this case study. But I think I sent a message earlier, we have an AI design.
224 00:17:49.020 ⇒ 00:17:49.850 Gabriel Lam: of this.
225 00:17:49.850 ⇒ 00:17:55.780 Hannah Wang: I don’t know if you want to be added to this, let me know if you want to, but basically this is where I…
226 00:17:56.290 ⇒ 00:17:58.610 Hannah Wang: discuss with the AI team,
227 00:17:58.610 ⇒ 00:18:00.940 Gabriel Lam: the action. I’m curious if there’s any…
228 00:18:00.940 ⇒ 00:18:01.290 Hannah Wang: like.
229 00:18:01.290 ⇒ 00:18:01.900 Gabriel Lam: Thoughts.
230 00:18:01.900 ⇒ 00:18:06.050 Hannah Wang: Yeah, anything related to AI and design, and this is kind of where I talk to them about it.
231 00:18:06.960 ⇒ 00:18:14.819 Hannah Wang: So I did send this message. I was like, oh, is there a way for me to basically know, like, after a project
232 00:18:15.050 ⇒ 00:18:21.619 Hannah Wang: Client project, or even an internal project is wrapped up, like, is there a way for
233 00:18:22.330 ⇒ 00:18:35.750 Hannah Wang: once that ticket is closed in linear, for it to notify me in Slack, so that… that removes the bottleneck of, like, Utom and Robert having to let me know, like, oh, this is done.
234 00:18:36.280 ⇒ 00:18:41.589 Hannah Wang: So that, that’s, like, an idea. But I guess, like.
235 00:18:42.320 ⇒ 00:18:47.210 Hannah Wang: for prioritizing, like, I obviously don’t really know that either.
236 00:18:47.210 ⇒ 00:18:47.609 Gabriel Lam: I think.
237 00:18:47.610 ⇒ 00:18:57.680 Hannah Wang: that’s where, like, the PM, I guess, of each client, or UTAM and Robert, I don’t know who it would be, but someone to, like, prioritize it for me.
238 00:18:57.800 ⇒ 00:19:02.800 Hannah Wang: And so that I can start number one, then go to number 5.
239 00:19:03.980 ⇒ 00:19:09.439 Hannah Wang: Yeah, so that’s the whole flow. We…
240 00:19:09.440 ⇒ 00:19:10.030 Gabriel Lam: Yeah.
241 00:19:10.030 ⇒ 00:19:13.399 Hannah Wang: In terms of, like, the blog posts, we kind of stopped.
242 00:19:13.670 ⇒ 00:19:17.470 Hannah Wang: But… For now, because we want us to focus on other…
243 00:19:17.470 ⇒ 00:19:17.880 Gabriel Lam: Yeah.
244 00:19:17.880 ⇒ 00:19:24.460 Hannah Wang: Other stuff, so yeah, we haven’t been, like, super diligent in cranking out blog posts.
245 00:19:25.000 ⇒ 00:19:35.849 Hannah Wang: But… Yeah, it’s usually the case studies, that I think are helpful in sending, for example, like.
246 00:19:35.850 ⇒ 00:19:37.030 Gabriel Lam: Yeah, we were, we were…
247 00:19:37.030 ⇒ 00:19:40.149 Hannah Wang: For go-to-market, I try to,
248 00:19:40.880 ⇒ 00:19:44.909 Hannah Wang: like, help with the middle of the funnel. Yeah.
249 00:19:44.910 ⇒ 00:19:45.280 Gabriel Lam: the way.
250 00:19:45.280 ⇒ 00:19:45.810 Hannah Wang: So, like…
251 00:19:45.810 ⇒ 00:19:46.990 Gabriel Lam: Training it, essentially.
252 00:19:46.990 ⇒ 00:19:48.650 Hannah Wang: for example…
253 00:19:48.650 ⇒ 00:19:51.179 Gabriel Lam: It is… A scaled-back version.
254 00:19:51.180 ⇒ 00:19:53.090 Hannah Wang: Let me see… why…
255 00:19:53.090 ⇒ 00:19:53.800 Gabriel Lam: mission.
256 00:19:53.800 ⇒ 00:19:59.739 Hannah Wang: Yeah, basically, I just send, like, leads, like, hey, thought this case study might be interesting for you, like, check it out.
257 00:19:59.740 ⇒ 00:20:00.130 Gabriel Lam: C.
258 00:20:02.100 ⇒ 00:20:05.549 Hannah Wang: And then, yeah, basically try to nurture the lead in that way.
259 00:20:05.550 ⇒ 00:20:05.870 Gabriel Lam: Right.
260 00:20:05.970 ⇒ 00:20:09.270 Hannah Wang: So that’s where I use case studies for a lot. Got it.
261 00:20:09.420 ⇒ 00:20:16.159 Hannah Wang: And even when pitching to… to clients on… to leads on calls, it’s helpful there, too, so… Yeah.
262 00:20:16.450 ⇒ 00:20:23.800 Hannah Wang: Yeah, that’s kind of the whole… frame… framework. And…
263 00:20:26.120 ⇒ 00:20:44.240 Hannah Wang: Yeah, if you wanted to help with, like, this is kind of bleeding into the go-to-market side, but, like, the hard part for me is knowing which case study to send to which lead based on their position, based on, the company they work at.
264 00:20:44.240 ⇒ 00:20:46.980 Hannah Wang: Which vertical they’re in, so, like.
265 00:20:47.450 ⇒ 00:20:53.950 Hannah Wang: I do have a GPT for that, but it just gives me super generic case studies that are, like, not very…
266 00:20:53.950 ⇒ 00:20:54.550 Gabriel Lam: Hmm.
267 00:20:55.080 ⇒ 00:20:56.350 Hannah Wang: on the nose.
268 00:20:56.350 ⇒ 00:20:57.020 Gabriel Lam: Hmm.
269 00:20:57.290 ⇒ 00:21:12.810 Hannah Wang: like, Robert has mentioned before, like, oh, has given me feedback, like, oh, this is not necessarily the case study that I would have sent. I would have sent, like, this other one. But, like, for me, I’m not… I’m not trained that way, yeah, like, I just can’t pick out the right case study, so, like.
270 00:21:12.810 ⇒ 00:21:17.129 Gabriel Lam: That’s another area of improvement with, I think.
271 00:21:17.130 ⇒ 00:21:19.300 Hannah Wang: like, this platform, I guess, where.
272 00:21:19.300 ⇒ 00:21:20.450 Gabriel Lam: Yeah, we… like, the idea.
273 00:21:20.450 ⇒ 00:21:25.999 Hannah Wang: The idea that he proposed was, like, basically adding more tags, like.
274 00:21:26.000 ⇒ 00:21:26.390 Gabriel Lam: Hmm.
275 00:21:26.390 ⇒ 00:21:29.330 Hannah Wang: Oh, this is a… this is like a…
276 00:21:29.580 ⇒ 00:21:33.760 Hannah Wang: dash, like, basically, oh, dashboard, like, SaaS, like.
277 00:21:33.760 ⇒ 00:21:35.169 Gabriel Lam: Do you think, like.
278 00:21:35.170 ⇒ 00:21:37.300 Hannah Wang: Basically adding more tags so that, like.
279 00:21:37.300 ⇒ 00:21:37.860 Gabriel Lam: Amanda.
280 00:21:37.860 ⇒ 00:21:41.600 Hannah Wang: and integrating it with AI somehow, In a way that
281 00:21:42.000 ⇒ 00:21:48.620 Hannah Wang: Yeah, all these case studies are tagged with, like, all the tools, like, all the keywords, and so when I paste a company.
282 00:21:49.930 ⇒ 00:21:52.480 Hannah Wang: The company, and the information.
283 00:21:52.480 ⇒ 00:21:52.870 Gabriel Lam: adjust.
284 00:21:52.870 ⇒ 00:21:58.110 Hannah Wang: Of that company to GPT, for example, like, it can use it, like, try to…
285 00:21:58.510 ⇒ 00:22:07.029 Hannah Wang: yeah, map the same tags to that company, and to help me, like, pick out the right case study. So that’s, like, that would be super helpful, because.
286 00:22:07.030 ⇒ 00:22:07.350 Gabriel Lam: Nice.
287 00:22:07.350 ⇒ 00:22:14.640 Hannah Wang: I spend a lot of my time basically questioning, like, am I, like, supposed to be sending this or this?
288 00:22:14.890 ⇒ 00:22:18.750 Hannah Wang: So yeah, that’s kind of, like, the whole pipeline, I guess, from, like.
289 00:22:18.750 ⇒ 00:22:19.729 Gabriel Lam: Bob, you know, some.
290 00:22:19.730 ⇒ 00:22:24.650 Hannah Wang: Yeah, from a project being finished to sending it out to leads.
291 00:22:24.650 ⇒ 00:22:26.210 Gabriel Lam: Okay.
292 00:22:26.210 ⇒ 00:22:30.729 Hannah Wang: So, yeah, I know that was a lot. Do you have any questions, or want me to explain things?
293 00:22:30.730 ⇒ 00:22:36.129 Gabriel Lam: I… yeah, I’d like to go back to the,
294 00:22:37.080 ⇒ 00:22:40.430 Gabriel Lam: the Notion page, where you talk about
295 00:22:40.540 ⇒ 00:22:49.629 Gabriel Lam: the requirements, like gathering requirements onto the GPTs, you said, that steps 2 to 4 were pretty seamless, in the sense that…
296 00:22:50.110 ⇒ 00:22:52.700 Gabriel Lam: Baseline, that… As in…
297 00:22:53.310 ⇒ 00:23:08.069 Gabriel Lam: seamless as in, like, it still takes time, or… but it’s easy to figure it’s sort of mindless, or is it seamless as in, like, I can… once I have the requirements, I can get to the design stage in, like, an hour, for example?
298 00:23:08.070 ⇒ 00:23:17.339 Hannah Wang: Yeah, seamless because I don’t need to talk to anyone. Got it. Like, I don’t need to go, like, trace down someone.
299 00:23:17.340 ⇒ 00:23:17.690 Gabriel Lam: Got it.
300 00:23:17.690 ⇒ 00:23:26.659 Hannah Wang: Yeah, but I guess… Like, if you were to ask me about… like, is…
301 00:23:26.990 ⇒ 00:23:38.489 Hannah Wang: the content necessarily the best for our ICP, like, I don’t know. Because like I mentioned, you know, like, we haven’t really evolved it, like.
302 00:23:38.490 ⇒ 00:23:46.210 Gabriel Lam: everything is context, challenge, solution, results, tools, and I don’t know if that’s, like, the best, like, I don’t know if we should evolve it.
303 00:23:46.210 ⇒ 00:23:47.670 Hannah Wang: more,
304 00:23:48.230 ⇒ 00:24:03.759 Hannah Wang: But yeah, in terms of just, like, strictly, oh, getting from 2 to 4, like, it’s easy because, like, yeah, either Ann or I can just talk with chat and, like, get out everything, without having to chase down people and…
305 00:24:04.480 ⇒ 00:24:05.100 Hannah Wang: Please.
306 00:24:05.100 ⇒ 00:24:05.670 Gabriel Lam: Right.
307 00:24:05.890 ⇒ 00:24:08.620 Hannah Wang: There’s already, like, a system in place that’s, like, pretty easy.
308 00:24:08.620 ⇒ 00:24:15.479 Gabriel Lam: so… thinking… Okay. And if we were to go to step one.
309 00:24:16.960 ⇒ 00:24:22.949 Gabriel Lam: how… So the main blocker here is really…
310 00:24:23.820 ⇒ 00:24:26.780 Gabriel Lam: Like, setting a time to get them to follow up.
311 00:24:27.350 ⇒ 00:24:28.630 Gabriel Lam: Sign.
312 00:24:28.630 ⇒ 00:24:29.659 Hannah Wang: I think the main blocker is.
313 00:24:29.660 ⇒ 00:24:31.010 Gabriel Lam: Potential beings.
314 00:24:31.010 ⇒ 00:24:35.799 Hannah Wang: for one. So if I were to, like, create a step, like a pre…
315 00:24:35.960 ⇒ 00:24:37.409 Gabriel Lam: Like I said, zero.
316 00:24:37.410 ⇒ 00:24:39.230 Hannah Wang: Yeah, yeah, sure. Step zero is, like…
317 00:24:39.230 ⇒ 00:24:39.889 Gabriel Lam: filling out.
318 00:24:40.230 ⇒ 00:24:42.670 Hannah Wang: Figure out which case study…
319 00:24:42.670 ⇒ 00:24:48.930 Gabriel Lam: She had said… To even work on a device aging, you know, eating.
320 00:24:48.930 ⇒ 00:24:49.970 Hannah Wang: That’s the hardest part.
321 00:24:49.970 ⇒ 00:24:51.370 Gabriel Lam: Okay.
322 00:24:51.370 ⇒ 00:24:54.329 Hannah Wang: bottleneck is for, like, the conferences, Robert.
323 00:24:54.330 ⇒ 00:24:57.170 Gabriel Lam: And, like, is them feeding me.
324 00:24:57.170 ⇒ 00:24:59.589 Hannah Wang: Like, this is the case study that you need to work on.
325 00:24:59.590 ⇒ 00:25:01.260 Gabriel Lam: submission. Okay.
326 00:25:01.260 ⇒ 00:25:06.629 Hannah Wang: Because if they tell me, like, this is the quesadilla I want, and this is who you talk to, like.
327 00:25:06.820 ⇒ 00:25:07.440 Hannah Wang: I think.
328 00:25:07.440 ⇒ 00:25:10.360 Gabriel Lam: 1 to 4 becomes easy.
329 00:25:10.360 ⇒ 00:25:10.960 Hannah Wang: Yeah.
330 00:25:13.210 ⇒ 00:25:15.680 Gabriel Lam: That’s… great to know.
331 00:25:16.660 ⇒ 00:25:18.620 Gabriel Lam: Very useful, the best signs.
332 00:25:18.620 ⇒ 00:25:19.580 Hannah Wang: -Oh.
333 00:25:22.010 ⇒ 00:25:24.050 Hannah Wang: Yeah, so…
334 00:25:24.900 ⇒ 00:25:32.200 Hannah Wang: Yeah, and like I said, that’s kind of the message that I sent here to the AI Design Channel, like.
335 00:25:32.350 ⇒ 00:25:35.769 Hannah Wang: basically trying to get Robert and Lutama out of it,
336 00:25:35.770 ⇒ 00:25:36.460 Gabriel Lam: Yeah.
337 00:25:38.330 ⇒ 00:25:41.090 Hannah Wang: Yeah, so… I see.
338 00:25:41.090 ⇒ 00:25:41.920 Gabriel Lam: Okay.
339 00:25:41.920 ⇒ 00:25:43.520 Hannah Wang: process.
340 00:25:43.520 ⇒ 00:25:44.110 Gabriel Lam: Okay.
341 00:25:45.140 ⇒ 00:25:45.820 Gabriel Lam: Hmm.
342 00:25:46.140 ⇒ 00:25:47.370 Gabriel Lam: I see.
343 00:25:50.080 ⇒ 00:25:55.230 Hannah Wang: Yeah, I feel like… I feel like this would be… Nice, because, like, it just…
344 00:25:55.390 ⇒ 00:25:57.550 Hannah Wang: It’s just seamless, like, oh.
345 00:25:57.550 ⇒ 00:25:58.290 Gabriel Lam: Yeah, I used.
346 00:25:58.290 ⇒ 00:26:02.749 Hannah Wang: you know, I don’t really know how Linear is built out for the client projects, but, like.
347 00:26:02.750 ⇒ 00:26:03.510 Gabriel Lam: Yeah.
348 00:26:03.510 ⇒ 00:26:09.499 Hannah Wang: Every… every week, you, like, close out tickets, and so if there’s just, like, an automation where
349 00:26:09.660 ⇒ 00:26:11.280 Hannah Wang: an entire project.
350 00:26:11.660 ⇒ 00:26:16.180 Hannah Wang: is closed out, like…
351 00:26:16.650 ⇒ 00:26:22.480 Hannah Wang: We don’t really use projects, but, like, yeah, let’s say that this is completed, like, it automatically triggers something like.
352 00:26:22.480 ⇒ 00:26:23.030 Gabriel Lam: Got it.
353 00:26:23.030 ⇒ 00:26:28.700 Hannah Wang: Send to the marketing… the brand design marketing channel, like, hey, this project.
354 00:26:28.700 ⇒ 00:26:29.500 Gabriel Lam: the sun.
355 00:26:29.500 ⇒ 00:26:32.790 Hannah Wang: And then I can, like, tag with Tom and Robert, like, oh, do you want me to work on this?
356 00:26:32.790 ⇒ 00:26:34.010 Gabriel Lam: Utility.
357 00:26:34.010 ⇒ 00:26:35.110 Hannah Wang: Or is this, like, low priority?
358 00:26:35.110 ⇒ 00:26:41.060 Gabriel Lam: Got it. So, my next question would be…
359 00:26:41.520 ⇒ 00:26:46.850 Gabriel Lam: if I look into, like, that giant Notion page with all the different case studies that are out there.
360 00:26:47.140 ⇒ 00:26:55.520 Gabriel Lam: There’s still… You know, at least, like, what, that’s 10 of them that have requirements needed?
361 00:26:55.970 ⇒ 00:27:03.000 Gabriel Lam: Is… you’re saying that… there isn’t a ton of backlog there. It’s just…
362 00:27:04.650 ⇒ 00:27:07.640 Gabriel Lam: Getting started, or is this the part where you’re saying, like, hey.
363 00:27:07.810 ⇒ 00:27:10.660 Gabriel Lam: I need to know what to prioritize here as well.
364 00:27:11.210 ⇒ 00:27:19.300 Hannah Wang: Yeah, so the… like, I feel like this Notion page is starting to become stale, because, like I said, we have, this…
365 00:27:19.300 ⇒ 00:27:19.690 Gabriel Lam: Yeah.
366 00:27:21.330 ⇒ 00:27:27.070 Hannah Wang: Yeah, but so, like, it’s in my to-do to, like, comb through all the…
367 00:27:27.230 ⇒ 00:27:32.020 Hannah Wang: non-gun ones, and to see if we actually have a case study, and if so…
368 00:27:32.020 ⇒ 00:27:32.600 Gabriel Lam: Yeah, okay.
369 00:27:32.600 ⇒ 00:27:34.860 Hannah Wang: I would mark it as done, but…
370 00:27:34.860 ⇒ 00:27:35.290 Gabriel Lam: Okay.
371 00:27:35.290 ⇒ 00:27:35.650 Hannah Wang: I…
372 00:27:35.650 ⇒ 00:27:36.330 Gabriel Lam: I think about it.
373 00:27:36.330 ⇒ 00:27:38.340 Hannah Wang: The ones that are not done.
374 00:27:38.340 ⇒ 00:27:45.640 Gabriel Lam: Like, requirements needed is analogous to…
375 00:27:45.640 ⇒ 00:27:46.930 Hannah Wang: Or 1. Yeah, one.
376 00:27:46.930 ⇒ 00:27:47.270 Gabriel Lam: Okay.
377 00:27:47.270 ⇒ 00:27:55.180 Hannah Wang: the requirements, and then need to design, yeah, that’s, that’s easy, like… Okay. Because before, like, they sometimes typed out stuff.
378 00:27:55.180 ⇒ 00:27:57.470 Gabriel Lam: I just need to design it.
379 00:27:57.470 ⇒ 00:28:03.539 Hannah Wang: But, yeah, it’s like, oh, do I prioritize this? Do I not? Like, I don’t know, because some of these were made, like.
380 00:28:03.540 ⇒ 00:28:04.010 Gabriel Lam: First.
381 00:28:04.010 ⇒ 00:28:10.849 Hannah Wang: even way before this date. I did ask UTAM to go through and mark it as high or low.
382 00:28:10.850 ⇒ 00:28:15.790 Gabriel Lam: But I feel like sometimes his…
383 00:28:15.790 ⇒ 00:28:21.560 Hannah Wang: opinion and Robert’s opinion conflict, and they want me to prioritize different things.
384 00:28:21.560 ⇒ 00:28:22.900 Gabriel Lam: was, why?
385 00:28:22.900 ⇒ 00:28:23.340 Hannah Wang: Yes.
386 00:28:23.340 ⇒ 00:28:23.790 Gabriel Lam: CGM.
387 00:28:23.790 ⇒ 00:28:27.029 Hannah Wang: Yeah, that’s this Notion page, and then… but this is, like, the source of truth.
388 00:28:27.450 ⇒ 00:28:29.370 Hannah Wang: All of these case studies here.
389 00:28:29.370 ⇒ 00:28:30.120 Gabriel Lam: gums, but…
390 00:28:31.160 ⇒ 00:28:34.960 Gabriel Lam: So all the case studies here are already done.
391 00:28:35.120 ⇒ 00:28:41.040 Hannah Wang: Yes, correct. Yeah, they’re all designed, you can look at it.
392 00:28:41.040 ⇒ 00:28:41.949 Gabriel Lam: we’re advocating.
393 00:28:41.950 ⇒ 00:28:45.890 Hannah Wang: Yeah, and then for the ones that are here, like, I don’t know. Like, I have to comb through it.
394 00:28:45.890 ⇒ 00:28:49.059 Gabriel Lam: I see. To kind of map it out, and what we’re offering.
395 00:28:49.060 ⇒ 00:28:49.570 Hannah Wang: Yeah.
396 00:28:49.570 ⇒ 00:28:52.360 Gabriel Lam: Yeah, is that, and so…
397 00:28:53.840 ⇒ 00:28:58.219 Gabriel Lam: Yeah, I don’t know if anyone will deliberately ask… I think this is super helpful.
398 00:28:58.610 ⇒ 00:28:59.250 Hannah Wang: Great.
399 00:28:59.560 ⇒ 00:29:03.790 Gabriel Lam: I think I have everything I need, and…
400 00:29:04.210 ⇒ 00:29:10.030 Gabriel Lam: Yeah, thanks so much, that was… That was… Good to know.
401 00:29:10.030 ⇒ 00:29:13.269 Hannah Wang: Okay, so what part are you helping out with? Are you helping out with.
402 00:29:13.270 ⇒ 00:29:13.830 Gabriel Lam: It’s like this.
403 00:29:13.830 ⇒ 00:29:17.180 Hannah Wang: Step zero part. I, I think it’s…
404 00:29:17.600 ⇒ 00:29:18.920 Gabriel Lam: I think, well…
405 00:29:21.280 ⇒ 00:29:30.110 Gabriel Lam: we, in our stand-up this morning, were like, okay, what’s the big thing for next week? And so, the discussion sort of went into this, like, hey.
406 00:29:30.480 ⇒ 00:29:37.169 Gabriel Lam: We have a lot of… work that’s done already… Yep. …for a lot of clients, and we want to…
407 00:29:37.660 ⇒ 00:29:39.220 Gabriel Lam: Get those in.
408 00:29:39.690 ⇒ 00:29:42.000 Gabriel Lam: To… in front of other people.
409 00:29:42.000 ⇒ 00:29:42.590 Hannah Wang: Yep.
410 00:29:42.590 ⇒ 00:29:43.670 Gabriel Lam: And so…
411 00:29:46.200 ⇒ 00:29:53.619 Gabriel Lam: They were saying, like, it’s a really manual process with you sort of leading, like, the whole, you know, gathering requirements to getting case studies out.
412 00:29:53.620 ⇒ 00:29:54.700 Hannah Wang: Yeah.
413 00:29:54.700 ⇒ 00:29:59.000 Gabriel Lam: And that there are a lot of projects that need documentation.
414 00:29:59.550 ⇒ 00:30:03.829 Gabriel Lam: Whether it’s, like, interview scripts, whether it’s, even…
415 00:30:05.010 ⇒ 00:30:09.439 Gabriel Lam: I think the goal was to improve the speed of which people are
416 00:30:09.900 ⇒ 00:30:18.110 Gabriel Lam: Assigned, whether they want to do case studies, or, like, which case studies to do, and also communicate the work that is done in those things.
417 00:30:18.370 ⇒ 00:30:24.419 Gabriel Lam: So, I think it’s, like, everything before step… the design stage.
418 00:30:24.760 ⇒ 00:30:28.829 Gabriel Lam: Yeah. …wants to be sped up. So, I was just like, okay.
419 00:30:29.060 ⇒ 00:30:36.519 Gabriel Lam: of the everything before step four, what exactly is taking the most time? Because I think what Uten might see is very different from what you actually are working through.
420 00:30:36.520 ⇒ 00:30:37.670 Hannah Wang: I see.
421 00:30:37.670 ⇒ 00:30:50.209 Gabriel Lam: Right? And I’m getting the feeling… or I got the feeling this morning that he was like, oh, we need to get the content of case studies out faster, whereas for years, like, not so much, I just need to know which ones to work on, and then I can start there.
422 00:30:50.210 ⇒ 00:30:57.050 Hannah Wang: I see. But he is right about the content, too, because… like…
423 00:30:57.320 ⇒ 00:30:58.899 Hannah Wang: Let me just show you.
424 00:30:58.900 ⇒ 00:30:59.330 Gabriel Lam: Yep.
425 00:30:59.330 ⇒ 00:31:01.019 Hannah Wang: The message he sent, like.
426 00:31:01.160 ⇒ 00:31:11.009 Hannah Wang: This is me basically talking, like, oh, can I, like, schedule an interview with Mustafa to talk about this? And then Utam was like, I think this is the contents
427 00:31:11.040 ⇒ 00:31:12.789 Hannah Wang: A side that he was kind of referring to.
428 00:31:12.790 ⇒ 00:31:13.630 Hannah Wang: 2.
429 00:31:13.630 ⇒ 00:31:35.590 Hannah Wang: That… this would be helpful, too. Like, if I didn’t have to go and interview every single person, like, that’d be great as well. Yeah. So it’s not just in the prioritization and, like, knowing what case study to build out, but even step one, too, like, gathering the requirements. Like, it does take me… like, every meeting is around 30 minutes, and, like, I just spend the 30 minute for one case study, just, like, asking questions, and.
430 00:31:35.590 ⇒ 00:31:36.020 Gabriel Lam: God.
431 00:31:36.020 ⇒ 00:31:40.770 Hannah Wang: I go through the same questions, like, it’s not like they’re any different. I think my…
432 00:31:40.940 ⇒ 00:31:44.660 Hannah Wang: My… I guess, why I want to interview people.
433 00:31:44.660 ⇒ 00:31:45.099 Gabriel Lam: question I have.
434 00:31:45.100 ⇒ 00:31:52.390 Hannah Wang: is because I can ask follow-up questions to, like, draw out more information, and just, like, juice out and squeeze out everything I can, versus, like.
435 00:31:52.390 ⇒ 00:31:53.220 Gabriel Lam: we didn’t have.
436 00:31:53.220 ⇒ 00:31:57.059 Hannah Wang: let’s say that there is, like, this AI tool, I feel like.
437 00:31:57.250 ⇒ 00:31:57.850 Gabriel Lam: No way.
438 00:31:57.850 ⇒ 00:32:01.390 Hannah Wang: Engineers tend to give very short answers, and, like, they might not.
439 00:32:01.390 ⇒ 00:32:02.569 Gabriel Lam: I did it.
440 00:32:02.570 ⇒ 00:32:10.539 Hannah Wang: I’m like, okay, but, like, how? You know? But, like, yeah, totally, if, like, this tool can, like.
441 00:32:11.160 ⇒ 00:32:23.149 Hannah Wang: and make sure, like, force the engineers to, like, be more descriptive and stuff, like… or even, yeah, text-to-speech, because talking is a lot easier. That would be…
442 00:32:23.410 ⇒ 00:32:31.659 Hannah Wang: awesome, too. Like, somewhere in our platform, or, like, an AI tool, basically, like, taking
443 00:32:31.990 ⇒ 00:32:40.709 Hannah Wang: the questions that you saw, and I also sent you… sent it to you in Notion, like, those questions I ask people, like, yeah, somehow…
444 00:32:41.090 ⇒ 00:32:43.489 Hannah Wang: Translating that,
445 00:32:44.100 ⇒ 00:32:57.129 Hannah Wang: to, like, a AI tool. And I… I talked to Mustafa about it too, like, after I interviewed him about this case study, so you can ask him, like, what I… what I told him. Got it, yep.
446 00:32:57.240 ⇒ 00:33:03.309 Hannah Wang: But… Yeah, that… yeah, that… that is a bottleneck, too, in the sense that
447 00:33:03.650 ⇒ 00:33:06.330 Hannah Wang: I feel like my time could be used
448 00:33:06.690 ⇒ 00:33:11.300 Hannah Wang: Elsewhere, not, like, interviewing people.
449 00:33:11.700 ⇒ 00:33:12.610 Gabriel Lam: Got it.
450 00:33:13.520 ⇒ 00:33:16.350 Hannah Wang: Yeah, so I think those are, like, the… to…
451 00:33:16.350 ⇒ 00:33:16.950 Gabriel Lam: Great.
452 00:33:17.520 ⇒ 00:33:31.140 Hannah Wang: things. And then later on, like, yeah, if you and the AI team want to help me tackle, like, the knowing which case study to actually send to people, like, that would be so helpful, I think, for
453 00:33:31.180 ⇒ 00:33:41.639 Hannah Wang: me, and the go-to-market side. So there’s, like, two legs to my job, right? It’s, like, the go-to-market, and then the marketing. So 0 and 1 are marketing, and then, post
454 00:33:41.840 ⇒ 00:33:50.090 Hannah Wang: design is go-to-market, so… Yep. Or, sorry. Yeah, 0 and 1 are design. So, yeah.
455 00:33:50.370 ⇒ 00:33:51.550 Hannah Wang: Hopefully that…
456 00:33:52.260 ⇒ 00:33:52.910 Gabriel Lam: super helpful.
457 00:33:52.910 ⇒ 00:33:54.639 Hannah Wang: That was helpful. Great.
458 00:33:55.210 ⇒ 00:33:58.120 Gabriel Lam: I appreciate that. I will let you be.
459 00:33:59.300 ⇒ 00:34:02.130 Gabriel Lam: Unless you… Do what you gotta do. Vegetate.
460 00:34:02.130 ⇒ 00:34:04.150 Hannah Wang: I just wanted to say, you know.
461 00:34:04.520 ⇒ 00:34:06.589 Hannah Wang: I don’t know if you’ll feel that, yeah.
462 00:34:06.590 ⇒ 00:34:12.789 Gabriel Lam: I feel that, yeah. Yeah, Trace tells me to stop doomscrolling, and I’m like, I…
463 00:34:13.199 ⇒ 00:34:16.550 Gabriel Lam: I… I can’t defend myself.
464 00:34:16.550 ⇒ 00:34:18.080 Hannah Wang: What do you doomscroll on?
465 00:34:19.380 ⇒ 00:34:20.300 Gabriel Lam: YouTube.
466 00:34:20.610 ⇒ 00:34:24.270 Hannah Wang: Mmm, dude, that long-form video…
467 00:34:24.270 ⇒ 00:34:25.960 Gabriel Lam: is… is.
468 00:34:25.960 ⇒ 00:34:26.439 Hannah Wang: It is.
469 00:34:26.449 ⇒ 00:34:28.779 Gabriel Lam: serious about, like, I’m just like, what?
470 00:34:29.729 ⇒ 00:34:32.069 Gabriel Lam: like, I don’t know, one I watched was, like…
471 00:34:34.059 ⇒ 00:34:39.709 Gabriel Lam: I think they’re educational, because I’m like, oh, this… what’s… like, how do things happen in the world?
472 00:34:39.709 ⇒ 00:34:43.989 Hannah Wang: Yeah. I’m, like, watching half an hour videos, and I’m like, oh god, what happened?
473 00:34:44.179 ⇒ 00:34:47.509 Hannah Wang: At least they’re educational. Like, at least…
474 00:34:47.510 ⇒ 00:34:50.650 Gabriel Lam: This is how I’m convincing myself that it’s at least superproductive.
475 00:34:50.659 ⇒ 00:35:00.869 Hannah Wang: It’s… it’s more… less brain rot than, like, you know, Instagram, or… or TikTok, or… like, I know a lot of guys do, like, also, like, sports.
476 00:35:01.080 ⇒ 00:35:01.950 Gabriel Lam: Oh, yeah.
477 00:35:01.950 ⇒ 00:35:08.639 Hannah Wang: just, like, super into sports, and I’m like, wow, we all have… we all doomscroll in our own different way.
478 00:35:09.460 ⇒ 00:35:10.170 Gabriel Lam: Yeah.
479 00:35:10.570 ⇒ 00:35:14.280 Hannah Wang: Alright, I hope you have a good weekend.
480 00:35:14.280 ⇒ 00:35:18.830 Gabriel Lam: Yeah, you too, hang in there, get some rest, and I hope you enjoy the shoots, it sounds like.
481 00:35:18.830 ⇒ 00:35:19.250 Hannah Wang: Thank you.
482 00:35:19.820 ⇒ 00:35:23.589 Hannah Wang: Yeah, no screen time, like, that’s why I like shooting, because it’s not…
483 00:35:23.590 ⇒ 00:35:25.710 Gabriel Lam: In front of a screen, so…
484 00:35:25.730 ⇒ 00:35:28.190 Hannah Wang: Okay. Alrighty.
485 00:35:28.190 ⇒ 00:35:30.650 Gabriel Lam: See you later, have a great weekend. Bye-bye. Bye.