Meeting Title: Robert and Annie Catch-Up Date: 2025-07-11 Meeting participants: Robert Tseng, Annie Yu
WEBVTT
1 00:02:03.530 ⇒ 00:02:04.650 Robert Tseng: Hmm!
2 00:02:05.020 ⇒ 00:02:05.840 Robert Tseng: Oh.
3 00:03:04.220 ⇒ 00:03:07.989 Annie Yu: Hello, Robert! Sorry I was in another meeting.
4 00:03:08.170 ⇒ 00:03:09.780 Robert Tseng: No worries.
5 00:03:12.210 ⇒ 00:03:13.779 Robert Tseng: How was your trip?
6 00:03:14.556 ⇒ 00:03:20.013 Annie Yu: Pretty good. I it was hard to come back.
7 00:03:20.620 ⇒ 00:03:26.820 Robert Tseng: Yeah, I’m sure it takes a while to kinda get over jet lag and then kind of get back to your routine.
8 00:03:27.280 ⇒ 00:03:37.609 Annie Yu: Yeah. But I also feel like I learned a lot on this trip on this trip. I feel like I’m really, really inspired by how they live their life there, and just the.
9 00:03:37.610 ⇒ 00:03:38.270 Robert Tseng: Really.
10 00:03:38.270 ⇒ 00:03:41.180 Annie Yu: Pace. I feel like the
11 00:03:41.730 ⇒ 00:03:52.489 Annie Yu: I feel like, even for the people who live there a day feels longer because they do much thing they do many things like, and it’s not just about work. I feel like they
12 00:03:53.110 ⇒ 00:03:59.829 Annie Yu: like set up pretty good boundaries, balancing everything I’m like. I’m built for this life.
13 00:04:01.316 ⇒ 00:04:04.229 Annie Yu: But I I really loved it.
14 00:04:04.460 ⇒ 00:04:10.660 Annie Yu: and it was my 1st time in Europe, and I I think I I definitely want to go back, but I feel like
15 00:04:10.790 ⇒ 00:04:15.899 Annie Yu: I’ll be focusing on like Mediterranean area for a while.
16 00:04:16.339 ⇒ 00:04:17.129 Robert Tseng: Okay.
17 00:04:17.610 ⇒ 00:04:18.250 Annie Yu: Yeah.
18 00:04:18.890 ⇒ 00:04:20.810 Robert Tseng: He did mostly Spain.
19 00:04:21.360 ⇒ 00:04:26.790 Annie Yu: Yeah, just Spain. We went to Costa Brava, and then Barcelona, and then Madrid.
20 00:04:27.500 ⇒ 00:04:29.529 Robert Tseng: Is that a new tattoo? Did you always have that.
21 00:04:29.690 ⇒ 00:04:31.720 Annie Yu: Oh, no, I always have it.
22 00:04:31.830 ⇒ 00:04:37.409 Annie Yu: I I actually have a few. I I have. I have a few.
23 00:04:37.530 ⇒ 00:04:38.210 Annie Yu: Yeah.
24 00:04:38.360 ⇒ 00:04:43.620 Robert Tseng: Oh, I thought you got like a tattoo in Spain. I was like, Wow, very impactful trip.
25 00:04:43.770 ⇒ 00:04:56.259 Annie Yu: I thought about it. I’m like, I like you have to take care of it like aftercare. And then it was so hot and so low. I also saw Kyle there.
26 00:04:56.450 ⇒ 00:04:59.329 Robert Tseng: Oh, it actually, yeah, you made it happen cool.
27 00:04:59.380 ⇒ 00:05:01.230 Annie Yu: Yeah, we grab a meal.
28 00:05:01.230 ⇒ 00:05:01.590 Robert Tseng: Nice.
29 00:05:01.590 ⇒ 00:05:03.179 Annie Yu: That’s cool to see you.
30 00:05:03.180 ⇒ 00:05:04.180 Robert Tseng: No person, not a.
31 00:05:04.180 ⇒ 00:05:05.270 Annie Yu: Person, yeah.
32 00:05:08.030 ⇒ 00:05:09.680 Robert Tseng: Cool, nice?
33 00:05:10.416 ⇒ 00:05:33.890 Robert Tseng: Yeah. I mean, we haven’t caught up in a while. So I think this is not really so much about about work. Maybe we can leave last year. If you have anything we can save it towards the end to talk about like any last minute things I know. I sprung a couple of things on you. But yeah, actually, yeah, I mean, so I’m actually going to la. Next week. I’m gonna be meeting amber and amber, and Hannah again.
34 00:05:34.030 ⇒ 00:05:34.780 Robert Tseng: Nice?
35 00:05:35.660 ⇒ 00:05:36.800 Robert Tseng: Yeah.
36 00:05:38.680 ⇒ 00:05:39.390 Robert Tseng: Oh, yeah.
37 00:05:39.730 ⇒ 00:05:42.560 Annie Yu: You and Hannah were friends before right.
38 00:05:42.710 ⇒ 00:05:43.320 Robert Tseng: Yeah.
39 00:05:43.660 ⇒ 00:05:45.190 Annie Yu: Okay. Nice.
40 00:05:45.190 ⇒ 00:05:48.290 Robert Tseng: Yeah, her husband was my roommate for like 3 years. So.
41 00:05:48.290 ⇒ 00:05:50.440 Annie Yu: Okay, okay, that makes sense.
42 00:05:53.340 ⇒ 00:05:55.400 Robert Tseng: Yeah. And then.
43 00:05:55.770 ⇒ 00:06:06.150 Robert Tseng: well, okay, yeah, I don’t know if you would want to. But I I forgot to ask you again earlier. I was like, well, what what I mean? What if you came? If you want to come to la! You could come too.
44 00:06:06.490 ⇒ 00:06:08.260 Annie Yu: Wait was is that next week.
45 00:06:08.260 ⇒ 00:06:09.080 Robert Tseng: Yeah.
46 00:06:09.568 ⇒ 00:06:12.010 Annie Yu: Probably not next week, but.
47 00:06:12.010 ⇒ 00:06:12.610 Robert Tseng: Okay.
48 00:06:12.610 ⇒ 00:06:17.290 Annie Yu: But oh, yeah, let me know next time. Earlier.
49 00:06:17.590 ⇒ 00:06:18.290 Robert Tseng: Okay.
50 00:06:18.470 ⇒ 00:06:29.739 Annie Yu: But my my partner and I, I think we’re trying to find a time to go to Austin. Actually, just because lots of his like coworkers left
51 00:06:29.900 ⇒ 00:06:40.149 Annie Yu: Intel and go to Spacex, and it’s like inspired to like to look look elsewhere. But we’ve never been to Austin and.
52 00:06:40.150 ⇒ 00:06:41.130 Robert Tseng: Really, okay.
53 00:06:41.800 ⇒ 00:06:51.572 Annie Yu: I’m afraid it’s gonna be like very monkey and humid in the summer. So I think we’ll we’ll pick a like the worst time to visit and see how we feel feel about it.
54 00:06:51.860 ⇒ 00:06:52.530 Robert Tseng: Let’s see.
55 00:06:52.650 ⇒ 00:06:54.060 Robert Tseng: Yeah, I mean,
56 00:06:54.890 ⇒ 00:06:59.600 Robert Tseng: Summer in. Austin is very rough and obviously with the floods and everything right now. So.
57 00:07:01.990 ⇒ 00:07:09.920 Robert Tseng: yeah. I mean, the the fall is pretty nice in Austin. But there are also many nice places to go to in the fall.
58 00:07:10.160 ⇒ 00:07:11.080 Robert Tseng: Yeah, yeah.
59 00:07:11.080 ⇒ 00:07:17.360 Robert Tseng: So I think it’s hard to find a good time to go. Okay?
60 00:07:19.120 ⇒ 00:07:24.670 Robert Tseng: Oh, yeah, okay, this didn’t really cross my mind. I should have. I mean.
61 00:07:25.050 ⇒ 00:07:44.083 Robert Tseng: this whole la thing was planned pretty last minute, like I’m I’m going for work of conference, and then like visiting couple of clients or like sales things. So I’m just making. I’m I’m literally gonna be there for like 2 days. But okay, whatever I will have to make my way over to Portland sometime, or get closer to you.
62 00:07:45.289 ⇒ 00:07:50.889 Annie Yu: We don’t have any other teammates based in Pacific Northwest. Right? I don’t.
63 00:07:50.890 ⇒ 00:07:57.199 Robert Tseng: Yeah, no. I mean, if we can get a client there, I would I would go there more often, probably.
64 00:07:59.530 ⇒ 00:08:00.410 Robert Tseng: Yeah.
65 00:08:00.670 ⇒ 00:08:09.700 Robert Tseng: Okay. Well, anyway, I’ll I’m like, I’m I’m kind of not all there, logistically, like, I kind of have to plan things pretty last minute these days. So yeah, I apologize.
66 00:08:10.109 ⇒ 00:08:19.379 Robert Tseng: Yeah, I guess. Kind of how. How are things going? You get some time to think about like, I mean, you’re still doing your master’s program, and then also, like.
67 00:08:19.620 ⇒ 00:08:23.840 Robert Tseng: have you been here for almost 6 months? Ish.
68 00:08:23.840 ⇒ 00:08:27.490 Annie Yu: No, I started April.
69 00:08:27.490 ⇒ 00:08:33.490 Robert Tseng: Oh, 3 months. Okay, I I probably met you 6 months ago, but they didn’t actually start until 3 months ago.
70 00:08:33.690 ⇒ 00:08:34.490 Annie Yu: Yeah.
71 00:08:34.490 ⇒ 00:08:35.450 Robert Tseng: Something like that.
72 00:08:35.659 ⇒ 00:08:38.279 Annie Yu: Okay, yeah, yeah.
73 00:08:39.414 ⇒ 00:08:46.569 Annie Yu: Yeah, I no, it’s it’s I’ve been thinking about it. And I feel like.
74 00:08:46.699 ⇒ 00:08:50.059 Annie Yu: I think right now, the biggest challenge is.
75 00:08:50.769 ⇒ 00:09:03.919 Annie Yu: I feel like there are. And I’m not complaining. I think that totally makes sense. I just feel like there are multiple, like different tickets. So I always just put like a more like a like this. Ltv. Predictive thing.
76 00:09:03.920 ⇒ 00:09:04.669 Robert Tseng: Yeah, you put it off.
77 00:09:04.670 ⇒ 00:09:07.029 Annie Yu: And yeah, I took it off.
78 00:09:10.020 ⇒ 00:09:12.719 Annie Yu: But I but I also think it.
79 00:09:12.850 ⇒ 00:09:17.034 Annie Yu: It’s it’s it’s it makes sense, right?
80 00:09:20.730 ⇒ 00:09:31.830 Robert Tseng: Well, I mean I I mean, we can talk about the keep. Keep this conversation going after this call, too. But I mean I do want to, you know, protect your time for like doing longer term things like, I don’t want you to just be
81 00:09:32.480 ⇒ 00:09:43.482 Robert Tseng: like this is not a traditional engineering role. Where, like, you’re just like knocking out tickets. And we’re like, I mean, yeah, we measure ticket efficiency. And whatever all that stuff, but not really like we’re like
82 00:09:43.790 ⇒ 00:10:11.030 Robert Tseng: where there aren’t that many people without like, I don’t know, like we don’t do performance evals and stuff. I mean, we have a general sense of like, who’s doing well? Who’s not doing well, I don’t know. But like, yeah, I mean being in a small team like this, it really for it to be worth your time. You kind of have to like, find what gives you the most energy and like. Figure out like what you like, what direction. You want to go go in, you know, like I think it’s the difference between like
83 00:10:11.570 ⇒ 00:10:15.721 Robert Tseng: being on a pirate ship versus like being
84 00:10:16.400 ⇒ 00:10:22.479 Robert Tseng: like. I don’t know part of the navy like the Navy, you have a very specialized role. You’re just doing your one thing.
85 00:10:22.670 ⇒ 00:10:39.371 Robert Tseng: but I would say we’re more like a group of pirates. We’re like, yeah, we’re just on the same ship. But like, we’re all kind of like, have different things that we want out of it. So? I I want to, you know, hopefully, like, empower you to kind of think, think that way. And
86 00:10:40.140 ⇒ 00:11:05.509 Robert Tseng: yeah, I mean, I know that you’re you took an interest in doing more, Ml, and like work. So I want I mean, I want. I want to kind of give you the opportunity to explore that, and I’m sure it would. It would. Really, you know, impact this team as well like you you I mean, I think you’re doing great at your, at your, you know your role overall. So like I, I have no problem in like kind of
87 00:11:06.090 ⇒ 00:11:12.550 Robert Tseng: trying to encourage you to like to stretch in the way that you want to. So yeah.
88 00:11:12.740 ⇒ 00:11:27.470 Annie Yu: Yeah, yeah, okay, I. And while we’re on this, so I guess the the current project that’s more in line with that is the Ltv thing right? I think my goal is to
89 00:11:28.040 ⇒ 00:11:34.750 Annie Yu: cause I have to put everything in one table in order to access
90 00:11:35.700 ⇒ 00:11:48.479 Annie Yu: the all the feature I want to explore right the doc. So I think the goal today for me is to get everything, get a query and to have everything like customer and what like what we say, like
91 00:11:48.710 ⇒ 00:11:51.989 Annie Yu: community member versus not. And then
92 00:11:52.430 ⇒ 00:11:58.050 Annie Yu: I think we have other things. So once I have that query, and
93 00:11:58.630 ⇒ 00:12:04.719 Annie Yu: I think next week I can start the feature exploration thing.
94 00:12:04.720 ⇒ 00:12:05.270 Robert Tseng: Great.
95 00:12:05.270 ⇒ 00:12:09.376 Annie Yu: And just so, you know I might not be that fast.
96 00:12:09.750 ⇒ 00:12:15.059 Robert Tseng: I was like, I’m not like super familiar. But I’m excited to do to do to do this.
97 00:12:15.060 ⇒ 00:12:17.396 Robert Tseng: Great. Yeah, yeah, yeah, no. I think?
98 00:12:18.600 ⇒ 00:12:32.740 Robert Tseng: yeah, and it’s always a balance between what’s urgent. And like, I mean, I’m I’m trying, I mean, hopefully, with amber supporting on this client, too. It’ll be bit more organized when I’m doing it. But but yeah, I I understand.
99 00:12:33.540 ⇒ 00:12:37.789 Annie Yu: Okay, and I. And we, we could talk about anything right?
100 00:12:37.790 ⇒ 00:12:38.550 Robert Tseng: Yeah, yeah.
101 00:12:38.550 ⇒ 00:12:44.770 Annie Yu: I I just do have one more question is, when there’s like a query request.
102 00:12:44.940 ⇒ 00:12:58.249 Annie Yu: And I I know that like I I haven’t worked with Dbt. But I work with real, and I know it’s similar to Dbt, so when I work with real real, I can just ask cursor
103 00:12:58.460 ⇒ 00:13:08.169 Annie Yu: with something, and then can help me with the query, Yeah, but with Eden’s project when there’s like a query request, I. The only way I can do is
104 00:13:08.600 ⇒ 00:13:14.050 Annie Yu: through bigquery. So what I like when I access AI, I just use like
105 00:13:14.260 ⇒ 00:13:21.759 Annie Yu: I have to go back and forth between like Chat Gpt and bigquery, and I know Dimade is using cursor on his end because he.
106 00:13:21.760 ⇒ 00:13:23.250 Robert Tseng: Yeah, I use cursor, too.
107 00:13:23.250 ⇒ 00:13:26.690 Annie Yu: The way, but I don’t know how, though, like.
108 00:13:27.650 ⇒ 00:13:32.819 Robert Tseng: Well, yeah, so yeah, you just you just pull. You just pull from Github, and you have all the models.
109 00:13:32.820 ⇒ 00:13:33.980 Annie Yu: Oh!
110 00:13:33.980 ⇒ 00:13:35.370 Robert Tseng: Yeah, you can’t run anything.
111 00:13:35.370 ⇒ 00:13:35.920 Annie Yu: No problem.
112 00:13:35.920 ⇒ 00:13:40.389 Robert Tseng: Wait. You have to still like, copy the query into bigquery to run it. But, like.
113 00:13:40.390 ⇒ 00:13:40.990 Annie Yu: Yeah.
114 00:13:40.990 ⇒ 00:13:49.520 Robert Tseng: Yeah, it should be able to. I mean, I I don’t. I’m never going back like I have. I’ll do it now. Yeah.
115 00:13:49.800 ⇒ 00:13:51.389 Annie Yu: But yeah, that makes sense.
116 00:13:51.890 ⇒ 00:13:55.929 Annie Yu: I’m I’m seeing so many baby spiders.
117 00:13:56.180 ⇒ 00:14:02.118 Annie Yu: I think there’s this is the 3rd one that I saw today.
118 00:14:03.410 ⇒ 00:14:04.579 Annie Yu: Sorry about that.
119 00:14:04.830 ⇒ 00:14:07.299 Robert Tseng: No, I’m good. Do you live in the woods?
120 00:14:07.970 ⇒ 00:14:13.720 Annie Yu: I actually our house is next to like a like a eek.
121 00:14:13.890 ⇒ 00:14:18.699 Annie Yu: I don’t even know what if it if it’s a like a wetland kind of thing.
122 00:14:18.700 ⇒ 00:14:19.410 Robert Tseng: Hmm.
123 00:14:19.410 ⇒ 00:14:26.380 Annie Yu: When in winter there’s like a creek, because it’s raised a lot, but not right now. It’s just lots of different
124 00:14:26.630 ⇒ 00:14:33.440 Annie Yu: plans, and I think some berries, too. So pretty much. Yeah.
125 00:14:33.787 ⇒ 00:14:36.569 Robert Tseng: Well, that’s probably why you have spiders. Then.
126 00:14:36.570 ⇒ 00:14:38.120 Annie Yu: Yeah, yeah.
127 00:14:40.463 ⇒ 00:14:43.050 Robert Tseng: Okay, so that hopefully, that answers that question.
128 00:14:43.050 ⇒ 00:14:51.120 Annie Yu: That being okay. So with that, the cursor can read all the files to can read all the models. Okay.
129 00:14:51.371 ⇒ 00:14:57.659 Robert Tseng: I think in our github the only thing that’s published, everything that’s in prod. So anything that’s in staging. I don’t think I can read
130 00:14:58.487 ⇒ 00:15:05.790 Robert Tseng: in which case I usually just take the the inter, the any intermediary model.
131 00:15:06.260 ⇒ 00:15:19.520 Robert Tseng: I just I put into cursor. Anyway, I’m like, Hey, also, like this model is, is there? So I’ll like with within context of like the query that I’m or like, you know, in within the queries that I’m running
132 00:15:19.940 ⇒ 00:15:28.190 Robert Tseng: like I found it. Okay, that I can still just pull in like other like I can. I can pull in the the staging models, anyway.
133 00:15:28.630 ⇒ 00:15:30.336 Annie Yu: Okay. Okay.
134 00:15:31.970 ⇒ 00:15:34.969 Annie Yu: Oh, I did not think of that. Okay, that makes sense.
135 00:15:36.360 ⇒ 00:15:36.940 Robert Tseng: Yeah.
136 00:15:38.430 ⇒ 00:15:39.520 Annie Yu: Oh!
137 00:15:41.700 ⇒ 00:15:50.890 Robert Tseng: And then I’m just thinking about your capacity. Wise like. So matter. More wind is winding down. You’re still supporting on ABC and on Eden
138 00:15:51.648 ⇒ 00:15:56.190 Robert Tseng: and we have 3 clients starting pretty much next week. So like.
139 00:15:56.190 ⇒ 00:15:57.519 Annie Yu: 3 new ones.
140 00:15:57.520 ⇒ 00:15:58.170 Robert Tseng: Yeah.
141 00:15:58.730 ⇒ 00:15:59.350 Annie Yu: Nice.
142 00:15:59.800 ⇒ 00:16:09.179 Robert Tseng: Yeah. So I mean, one of them is default. I don’t think you’ll be on that one yet. They don’t really have very clear like asks yet. So it’s really it’s pretty early on.
143 00:16:09.180 ⇒ 00:16:09.570 Annie Yu: Okay.
144 00:16:09.570 ⇒ 00:16:26.360 Robert Tseng: One of them is more power. Bi heavy. It’s a much bigger company I was thinking of, not even I was just gonna run it with amber for for the 1st week and 2 weeks, just to see, like, you know, what what they really need? Because that’s insomnia cookies. They’re like a.
145 00:16:26.360 ⇒ 00:16:28.780 Annie Yu: Oh, yeah.
146 00:16:28.780 ⇒ 00:16:30.260 Robert Tseng: Oh, you know them. Okay, cool.
147 00:16:30.260 ⇒ 00:16:36.999 Annie Yu: Everyone knows, I guess when I went to rockers there’s 1, and people always go after clubbing.
148 00:16:37.120 ⇒ 00:16:43.139 Robert Tseng: Oh, right, I forgot. You went. You yeah. Yeah. So we’re starting with assignment cookies on Monday. So I’m excited about that.
149 00:16:44.004 ⇒ 00:17:03.470 Robert Tseng: Yeah. So that one it’s I mean they have. Everything is in Microsoft like I’ve looked through all the reports already. They have a bunch of dashboards. I think, to start. It’s really just like trying to basically teach their marketing leadership like what these reports are even saying. I guess so.
150 00:17:03.470 ⇒ 00:17:06.800 Annie Yu: Who built those reports, not their in-house person.
151 00:17:07.222 ⇒ 00:17:10.180 Robert Tseng: No, I think they do have. We’re.
152 00:17:10.390 ⇒ 00:17:13.433 Robert Tseng: I think they do have an in house data team.
153 00:17:14.290 ⇒ 00:17:20.549 Robert Tseng: But I’m sure it’s very siloed as it is at the Enterprise level. And so what I’m
154 00:17:21.319 ⇒ 00:17:25.119 Robert Tseng: what I’m trying how I how I sold them was basically like.
155 00:17:25.763 ⇒ 00:17:51.046 Robert Tseng: we’re going to speed up your access to insights pretty much is like kind of thing. So I don’t want us to just be like building a bunch of reports and maintaining them kind of like what we’re doing. It’s not. It’s good work, but like it’s also like, I think it’d be more interesting for us to be like more on the automation. AI, and maybe more like, kind of yeah, kind of in like, even even further downstream on just doing analysis. So
156 00:17:51.420 ⇒ 00:17:58.597 Robert Tseng: I probably have like a month to figure out like what that longer term relationship with that company will look like. But
157 00:17:59.110 ⇒ 00:18:05.277 Robert Tseng: yeah, so that’s that’s another opportunity there and then one is this more of a traditional Sas
158 00:18:06.070 ⇒ 00:18:16.240 Robert Tseng: company they are. They’re like a technical docs company. So they’re based in New York City. And I’ve already been working with them for the past 2 weeks. So
159 00:18:16.990 ⇒ 00:18:18.940 Robert Tseng: yeah, I think those are.
160 00:18:20.330 ⇒ 00:18:27.429 Robert Tseng: Yeah, we depending. Yeah. I mean, one would want to know your capacity and kind of seeing like where.
161 00:18:27.930 ⇒ 00:18:31.919 Robert Tseng: where, where you, where you would want to be staffed like.
162 00:18:32.050 ⇒ 00:18:42.929 Robert Tseng: I can’t promise that you’ll get it. But like it’s also like, I want to know, like what you want to add onto your plates so that I can kind of consider that as was, we’re kind of evaluating that.
163 00:18:43.390 ⇒ 00:18:46.179 Annie Yu: What’s the what’s the 3rd one about.
164 00:18:46.180 ⇒ 00:18:51.940 Robert Tseng: Go read me. They’re like a technical docs startup. They
165 00:18:53.757 ⇒ 00:19:05.539 Robert Tseng: so I just I stood up. Product analytics for them the past 2 weeks. So like they just got, they just sort of amplitude. And like they’re doing like, just it’s just event data like
166 00:19:06.070 ⇒ 00:19:30.800 Robert Tseng: management, pretty much like understanding, like what users are doing on their product before. They were just doing like a kind of like a salesforce approach where they have account managers and selling to big enterprise accounts. But now they built out like a self service motion so like anybody could go on the website, sign up and start to use the product. And they tried to like, get you to, you know, buy into their premium tier or whatever. So that’s like.
167 00:19:31.150 ⇒ 00:19:35.120 Robert Tseng: it’s only like 20% of their business. But like, I guess
168 00:19:35.290 ⇒ 00:19:39.552 Robert Tseng: I, we’re, we’re helping out with that growing, that part of the business.
169 00:19:41.320 ⇒ 00:19:52.640 Robert Tseng: yeah, I mean, I would like to go and win more of that enterprise stuff, because it’s 80% of their revenue. And I’m sure that’ll make us more valuable. But for now we’re just starting with the self service team. So.
170 00:19:53.200 ⇒ 00:19:54.576 Annie Yu: Got it, got it?
171 00:19:55.110 ⇒ 00:19:57.749 Annie Yu: And and what’s the what’s the 1st one again?
172 00:20:01.000 ⇒ 00:20:03.509 Robert Tseng: Default is a.
173 00:20:05.850 ⇒ 00:20:12.980 Robert Tseng: It’s a very niche sales tool. It’s like for territory management. So basically they help.
174 00:20:14.280 ⇒ 00:20:18.089 Robert Tseng: They help like the sales forces of the world like plan.
175 00:20:19.810 ⇒ 00:20:26.630 Robert Tseng: like where their salespeople should, what? What should what they should be responsible for right cause, like
176 00:20:27.220 ⇒ 00:20:56.280 Robert Tseng: you know, maybe traditionally, territories are just based on geography like you’re an account executive based in Portland. You’re just responsible for West Coast because you’re in the same time zone. But you know that’s not necessarily the most. It’s actually not the most effective or efficient way to use your salesforce. So you know, they, you know, I think, under the hood, they’re also doing a lot of just like feature, evaluation and like doing like, you know, graph kind of graph analysis to basically tell.
177 00:20:56.400 ⇒ 00:21:03.980 Robert Tseng: You know, sales teams like, hey, this would be a more efficient distribution of your sales team. You should cut up their territories this way.
178 00:21:04.350 ⇒ 00:21:04.910 Annie Yu: Okay.
179 00:21:05.280 ⇒ 00:21:25.150 Robert Tseng: And they’re expanding beyond their current offering. So rather than going more niche in there, they’re trying to go horizontal and just launch a bunch of other sales products. And so that’s where we’re helping them, like basically doing the data work to help them launch new products. So
180 00:21:25.500 ⇒ 00:21:39.390 Robert Tseng: pretty different like it’s kind of opposite with like readme read me, is like already had a pretty well established product, but they need to narrow it down to really like, focus on just growing the self serve segment.
181 00:21:39.710 ⇒ 00:22:02.570 Robert Tseng: So obviously like, it’s like letting them know. Okay, you don’t need to show them this feature like you try to simplify the product. So it’s easy for anybody to go and and like to go in and sign up and use it themselves, whereas, like default is like, we only have one product, what are like the other 5 things that we need to be doing to like grow our business. So yeah.
182 00:22:03.870 ⇒ 00:22:09.460 Annie Yu: Okay, no, I think all sounds pretty interesting. For me. I always
183 00:22:09.760 ⇒ 00:22:18.759 Annie Yu: think where I like would like to build my experience, and would be definitely like digital product.
184 00:22:18.760 ⇒ 00:22:19.390 Robert Tseng: Yeah.
185 00:22:19.690 ⇒ 00:22:22.081 Annie Yu: I. I’ve worked on like
186 00:22:24.710 ⇒ 00:22:33.130 Annie Yu: kind of like click stream data analysis, but not like very deep. And I feel like that’s something that I will. Wanna
187 00:22:33.250 ⇒ 00:22:39.759 Annie Yu: so like product analytics in general, that’s something I want to get more hands-on experience in.
188 00:22:40.790 ⇒ 00:22:45.470 Annie Yu: And but then, also, like, I think, longer term.
189 00:22:47.140 ⇒ 00:22:56.236 Annie Yu: what will like interest me will also be like with like product. There could be opportunities for like a B testing
190 00:22:57.150 ⇒ 00:23:07.150 Annie Yu: product, recommendation or things of that sort. That’s something like in the longer term that that’s that’ll be super interesting, too. But
191 00:23:07.320 ⇒ 00:23:18.649 Annie Yu: I think this insomnia cookie project will be something more. I’m more like, I guess, comfortable with, compared to the other 2, but I think the other 2 will be like more challenging.
192 00:23:18.910 ⇒ 00:23:19.860 Robert Tseng: Okay.
193 00:23:20.010 ⇒ 00:23:21.110 Annie Yu: For me.
194 00:23:21.580 ⇒ 00:23:44.039 Robert Tseng: Okay, cool. Yeah, no. That makes sense. Like I, I was already like, I don’t really think you’d be that interested in working on insomnia. So yeah, I think, yeah, I I’ll keep that in mind. I I do think getting you involved on the product. Analytics side makes sense like, I feel like you, you you you should probably learn it for your career, anyway. Like, that’s where all digital products.
195 00:23:44.040 ⇒ 00:23:49.670 Annie Yu: Yeah, I think I don’t have lots of e-commerce. I mean, I do lots of analysis
196 00:23:50.590 ⇒ 00:23:54.399 Annie Yu: with e-commerce data, but not like product itself.
197 00:23:54.400 ⇒ 00:23:55.990 Robert Tseng: Yeah, yeah.
198 00:23:56.530 ⇒ 00:24:04.919 Robert Tseng: okay, yeah. Good to know. Yeah. So as we’re ramping those up, we’ll, I mean, hopefully, I mean, I’ll find a good place to to put you in.
199 00:24:06.580 ⇒ 00:24:07.350 Robert Tseng: Yeah.
200 00:24:08.250 ⇒ 00:24:12.379 Annie Yu: But also just out of curiosity. What
201 00:24:13.470 ⇒ 00:24:16.730 Annie Yu: I guess other than event data, what?
202 00:24:16.930 ⇒ 00:24:19.830 Annie Yu: What kind of things will help
203 00:24:21.700 ⇒ 00:24:38.489 Annie Yu: in general to know, like how people are using it. I I remember in my like past where we actually had like interviews with new users. But I just I don’t know, like, with just quantitative data, what else is possible.
204 00:24:39.480 ⇒ 00:25:01.880 Robert Tseng: Yeah, I mean, I think amplitude is probably a good tool for you to learn. I think the leader in the space. So yeah, I mean, other than quantitative, like funnel analytics based off of events. So the whole process of event, designing event data model like kind of what events you should track what are the most like? Baseline reports that you should go and and build out like.
205 00:25:01.970 ⇒ 00:25:19.519 Robert Tseng: That’s what I’m good at, I guess. Like helping companies like start something with product analytics and then after that, it it grows into other things like, maybe you want qualitative data. So things like heat maps. Also, like session recordings like those are more like.
206 00:25:19.850 ⇒ 00:25:27.980 Robert Tseng: maybe digitally native ways to like qualitatively observe what users are doing on the product. Obviously running interviews is important.
207 00:25:28.110 ⇒ 00:25:38.493 Robert Tseng: and at least like getting using coach marks or surveys, or other kind of like qualitative ways to collect feedback on data, on product as users are using it.
208 00:25:39.160 ⇒ 00:26:03.810 Robert Tseng: so I think that’s definitely one like one discipline that you can work work on. And then also, which I’ve also wanted, like you were talking about Ab testing and recommendations like, since I started this like kind of company 2 years ago, I’ve always wanted. I’ve always dreamt of like having a client where I’m able to do that work. This has never happened yet, to be honest, so I don’t know. I just it’s i i think it’s hard
209 00:26:03.920 ⇒ 00:26:15.300 Robert Tseng: to. I mean, we just probably just. I just haven’t cracked like, how do I? How do I get that part of the business like I don’t. I don’t really know. So the clients we work with
210 00:26:15.520 ⇒ 00:26:23.880 Robert Tseng: a lot of the time. They’re they’re testing a lot on the marketing side. But they’re not a lot. Most companies are not running A B tests and product unless you’re like.
211 00:26:24.230 ⇒ 00:26:28.899 Robert Tseng: I don’t know, like a Microsoft or something like a big fortune. 500 company.
212 00:26:29.280 ⇒ 00:26:38.700 Robert Tseng: And yeah, like, I feel like there’s usually other lower hanging fruit problems to solve. And so companies don’t really invest in it.
213 00:26:39.800 ⇒ 00:26:54.799 Robert Tseng: I don’t know if you think differently, and you think that there’s a better way to convey the the value of that work. I’m all for it like I would love to learn how to sell that service like, I think it’s interesting as well that it just. I just haven’t been able to do it.
214 00:26:56.950 ⇒ 00:27:01.560 Robert Tseng: Yeah. So that covers feedback collection that covers testing experimentation.
215 00:27:01.810 ⇒ 00:27:06.729 Robert Tseng: And then well, I think the last one is less like
216 00:27:07.400 ⇒ 00:27:33.699 Robert Tseng: operational. But it’s more like, kind of just like product strategy. Right? It’s like, how do you use data to inform, like, what products like to to launch and not just like experimentation of features or whatever like. It’s really just like, what are the adjacent products that you should add to your product to kind of like grow to grow it. And maybe that’s where Utam is better at thinking, because he’s kind of led digital products
217 00:27:34.163 ⇒ 00:27:38.630 Robert Tseng: before and building out bi tools. And you know, we work whatever. So
218 00:27:39.152 ⇒ 00:27:43.867 Robert Tseng: I think that’s what default is probably wanting from from us. More
219 00:27:44.700 ⇒ 00:27:52.639 Robert Tseng: which is hard like that. Work is not super straightforward. I mean, it’s very high value, like we have. We got to bill very high for it, but, like.
220 00:27:52.990 ⇒ 00:27:53.670 Robert Tseng: if.
221 00:27:56.230 ⇒ 00:27:56.850 Annie Yu: Oh.
222 00:28:04.180 ⇒ 00:28:07.829 Annie Yu: wait! You’re frozen! Is it me or you.
223 00:28:07.830 ⇒ 00:28:12.129 Robert Tseng: Oh, no, I think it was me. Wait! Was I frozen? For like a while.
224 00:28:12.358 ⇒ 00:28:16.690 Annie Yu: No, I could hear you, but you were frozen on the screen, but I could hear you, and then
225 00:28:17.050 ⇒ 00:28:18.466 Annie Yu: I couldn’t hear you.
226 00:28:18.820 ⇒ 00:28:24.380 Robert Tseng: I see. Okay, yeah, no, I I just got your Internet is unstable notification. So my bad
227 00:28:26.570 ⇒ 00:28:28.320 Robert Tseng: yeah. So
228 00:28:29.380 ⇒ 00:28:49.066 Robert Tseng: I don’t. I think that to me when you talk about like digital product analytics like those are like, kind of the different areas. That you could, that you end up kind of going like specializing more in after you get out of the the initial kind of like setup and general like reporting, or whatever. So
229 00:28:49.600 ⇒ 00:28:51.290 Robert Tseng: yeah.
230 00:28:51.955 ⇒ 00:28:58.594 Annie Yu: So does that mean, you think? Well, yeah, which project would you put me on?
231 00:28:59.402 ⇒ 00:29:03.330 Robert Tseng: I would say, I mean product analytics is probably like
232 00:29:03.900 ⇒ 00:29:09.299 Robert Tseng: I think I was probably where I would want you to go for now.
233 00:29:09.300 ⇒ 00:29:09.860 Annie Yu: Yep.
234 00:29:09.860 ⇒ 00:29:11.280 Robert Tseng: I,
235 00:29:12.390 ⇒ 00:29:32.909 Robert Tseng: yeah, I just think that that’s probably an easier one to learn first.st And then, yeah, I mean the default work. Obviously, you’ll we’re gonna keep. We’re we’re, you know, between us and I, we’re gonna do whatever we can to try to make that work because yeah, like. But I I think that’s just like a riskier. That’s a riskier client to take on.
236 00:29:33.470 ⇒ 00:29:36.642 Annie Yu: So read me will be where I want to be.
237 00:29:36.960 ⇒ 00:29:49.950 Robert Tseng: I think so, I think. Read me. There’s another one. I I think I’m also mentioned it today is the call spark plug. They’re a bit slower. But yeah, I think you know. Read me spark plug, and then I’m going to Denver next week, and I’m kicking off.
238 00:29:49.950 ⇒ 00:30:07.950 Robert Tseng: It’s like a pilot. So I’m not gonna call them a client yet. But they’re called knit. And there’s a lot of these like digital product companies who are trying to like, launch their product analytics function. And I, I think we get we yeah, there’s there’s gonna be a lot of opportunities there. So I think if you can learn that skill set, you’d be able to help a lot. There.
239 00:30:08.200 ⇒ 00:30:18.059 Annie Yu: Yeah, yeah. Well, I would love. That, too. Sounds good. And I love Denver. Denver is the the other place. I will not live in the Us.
240 00:30:18.260 ⇒ 00:30:19.359 Robert Tseng: Oh, really? Huh!
241 00:30:19.360 ⇒ 00:30:20.820 Annie Yu: Export. Yeah.
242 00:30:21.160 ⇒ 00:30:25.669 Robert Tseng: Okay. Well, yeah, I’m I’m going there right after. La, so I’ll let you know how it is.
243 00:30:25.920 ⇒ 00:30:28.110 Annie Yu: Yeah. It’s probably very hot now.
244 00:30:28.560 ⇒ 00:30:33.941 Robert Tseng: Yeah, probably. But it’s very hot in New York. So I’m excited to get away from New York.
245 00:30:34.240 ⇒ 00:30:37.559 Annie Yu: Yeah, sounds good.
246 00:30:37.560 ⇒ 00:30:43.790 Robert Tseng: Okay. Well, thanks, Annie. We have a couple couple of follow ups on slack, just like the Jonah report, and then.
247 00:30:43.790 ⇒ 00:30:55.599 Annie Yu: Yeah, I yeah, I’ll send you. I think I already have them. The columns that you need. I’ll just send send it to you to see if and he doesn’t need revenues right? Just those.
248 00:30:55.800 ⇒ 00:31:12.429 Robert Tseng: Yeah, I think we’re just whatever he asked for when I read it, I was like, I think this is something we could do quickly. So I was willing to pull it in. Yeah. And then on the order, journey dashboard for the tables. I just got like a quick message from someone like, Can we do export to Csv on those.
249 00:31:16.210 ⇒ 00:31:24.210 Annie Yu: I think that’s a feature. I just haven’t set it up yet. So wait.
250 00:31:25.040 ⇒ 00:31:28.820 Annie Yu: I think so. Cause we did the similar thing for type form.
251 00:31:28.820 ⇒ 00:31:35.269 Robert Tseng: I thought so too, but like when I was like trying to show them how to do it, I couldn’t figure it out, so I was like I don’t know.
252 00:31:35.270 ⇒ 00:31:45.140 Annie Yu: It was actually a separate dashboard, though, with raw data. That’s how I knew how to set it up. So if anything, I just did the same same thing.
253 00:31:45.330 ⇒ 00:31:45.870 Robert Tseng: Okay.
254 00:31:45.870 ⇒ 00:31:49.149 Annie Yu: Or there might be a better way. But I’ll look into it.
255 00:31:49.150 ⇒ 00:31:49.870 Robert Tseng: Okay.
256 00:31:50.780 ⇒ 00:31:56.530 Robert Tseng: Okay, yeah, yeah. Those just those 2 small things. But otherwise, yeah, okay. Awesome. Alright.
257 00:31:56.940 ⇒ 00:31:58.879 Robert Tseng: catching up with you. Alright.
258 00:31:58.880 ⇒ 00:31:59.250 Annie Yu: Bye.
259 00:31:59.250 ⇒ 00:31:59.990 Robert Tseng: Any.