Meeting Title: Grooming: Insomnia, Readme, EMH Date: 2025-10-15 Meeting participants: Casie Aviles, Mustafa Raja, Rico Rejoso, Henry Zhao, Uttam Kumaran, Robert Tseng
WEBVTT
1 00:00:53.160 ⇒ 00:01:00.530 Henry Zhao: Hey Rico, do you know, like, in Clockify, what projects should we be billing to for these stand-ups and groomings that are, like, multiple clients?
2 00:01:02.230 ⇒ 00:01:07.950 Rico Rejoso: Yeah, I propose to you, Tom, that you will have a stand-up project and clockify it.
3 00:01:08.160 ⇒ 00:01:13.209 Rico Rejoso: I created one already, but I haven’t gained… I mean, we haven’t announced it yet.
4 00:01:13.980 ⇒ 00:01:14.580 Henry Zhao: Okay.
5 00:01:15.150 ⇒ 00:01:18.419 Rico Rejoso: Alright, I’ll confirm with Tucum and let everyone know afterwards.
6 00:01:18.420 ⇒ 00:01:21.869 Henry Zhao: Okay, for now I’m just doing all one-on-ones, company, etc.
7 00:01:22.090 ⇒ 00:01:23.450 Rico Rejoso: Belworth, thank you so much.
8 00:01:25.310 ⇒ 00:01:29.180 Mustafa Raja: I’m doing the same all, all company one.
9 00:01:29.220 ⇒ 00:01:32.659 Henry Zhao: Yeah. Okay, cool. God, we’re all doing the same thing.
10 00:01:33.510 ⇒ 00:01:41.609 Rico Rejoso: I advise it to all internal team as well, but basically, we want to separate stand-up projects so that we can track it, properly.
11 00:01:59.280 ⇒ 00:02:00.210 Uttam Kumaran: Hey, guys.
12 00:02:02.400 ⇒ 00:02:03.230 Robert Tseng: Hello.
13 00:02:07.050 ⇒ 00:02:08.970 Uttam Kumaran: I’m really happy I get to see everyone.
14 00:02:09.240 ⇒ 00:02:10.340 Uttam Kumaran: So often.
15 00:02:11.820 ⇒ 00:02:15.690 Robert Tseng: Dude, you are just riffing through these meetings. I don’t know how you do it.
16 00:02:15.950 ⇒ 00:02:18.150 Henry Zhao: Yeah, we’re happy we get more Utam also.
17 00:02:18.580 ⇒ 00:02:20.300 Uttam Kumaran: Oh, I appreciate that.
18 00:02:20.480 ⇒ 00:02:23.009 Uttam Kumaran: That makes me happy. I’m here to work for y’all.
19 00:02:23.810 ⇒ 00:02:26.029 Henry Zhao: But we also want to see more of your dog in the background.
20 00:02:27.120 ⇒ 00:02:27.890 Henry Zhao: It’s very cute.
21 00:02:27.890 ⇒ 00:02:28.590 Uttam Kumaran: Yeah, he’s…
22 00:02:29.850 ⇒ 00:02:31.899 Robert Tseng: You’re having a pumpkin slice.
23 00:02:33.130 ⇒ 00:02:34.490 Henry Zhao: He’s so adorable.
24 00:02:34.810 ⇒ 00:02:39.079 Robert Tseng: He’s like, is it back and forth? He’s much bigger than, than you realize, Henry.
25 00:02:40.180 ⇒ 00:02:41.749 Henry Zhao: Well, we’re visiting in December, right?
26 00:02:42.030 ⇒ 00:02:43.350 Uttam Kumaran: Yeah, you are.
27 00:02:43.630 ⇒ 00:02:44.849 Henry Zhao: You have to bring the dog.
28 00:02:44.850 ⇒ 00:02:47.600 Uttam Kumaran: It’s like, get back to work, dude. Keep making those tickets.
29 00:02:48.950 ⇒ 00:02:52.700 Uttam Kumaran: No, I’m having pumpkin. Pumpkin bread.
30 00:02:53.740 ⇒ 00:02:56.820 Robert Tseng: Did, homemade.
31 00:02:56.820 ⇒ 00:02:58.850 Uttam Kumaran: Jess’s mom… Jess’s mom made it.
32 00:02:59.280 ⇒ 00:03:00.030 Robert Tseng: Okay.
33 00:03:00.280 ⇒ 00:03:01.260 Uttam Kumaran: Yeah. Nice.
34 00:03:02.240 ⇒ 00:03:09.470 Uttam Kumaran: So, I was about to run to go get some… Microwave something, but… You know.
35 00:03:09.890 ⇒ 00:03:11.760 Uttam Kumaran: Maybe after this meeting.
36 00:03:15.930 ⇒ 00:03:22.219 Uttam Kumaran: Cool, so goal here is I just want to start to build out a little bit of a roadmap for these clients.
37 00:03:22.540 ⇒ 00:03:29.620 Uttam Kumaran: I think given… who’s on the call. We can probably start with…
38 00:03:29.880 ⇒ 00:03:38.120 Uttam Kumaran: read me first, that way we can knock out stuff for Henry, and then Henry, you’re free to stick on and listen to the other two clients. Does that seem like…
39 00:03:39.050 ⇒ 00:03:40.119 Uttam Kumaran: The plan, Robert?
40 00:03:40.120 ⇒ 00:03:40.919 Henry Zhao: After he…
41 00:03:40.920 ⇒ 00:03:41.979 Robert Tseng: Yeah, let’s do that.
42 00:03:43.080 ⇒ 00:03:43.740 Uttam Kumaran: Okay.
43 00:03:49.060 ⇒ 00:03:49.795 Uttam Kumaran: So…
44 00:03:57.110 ⇒ 00:03:57.860 Uttam Kumaran: Okay.
45 00:03:58.110 ⇒ 00:04:00.060 Uttam Kumaran: So, let me first…
46 00:04:04.770 ⇒ 00:04:07.940 Uttam Kumaran: Cool. So, right now, this is our…
47 00:04:08.830 ⇒ 00:04:14.130 Henry Zhao: Sorry, my Uber Eats just got here, can we actually do README next? I’ll be right back. Sorry.
48 00:04:14.130 ⇒ 00:04:16.010 Uttam Kumaran: Yeah, dude, you’re fine, you’re fine, don’t worry.
49 00:04:16.019 ⇒ 00:04:16.399 Henry Zhao: you guys.
50 00:04:16.399 ⇒ 00:04:19.109 Uttam Kumaran: We’ll keep… we’re just gonna keep talking about stuff, so don’t worry.
51 00:04:19.110 ⇒ 00:04:20.360 Henry Zhao: I need to go get it, yeah, real quick.
52 00:04:20.360 ⇒ 00:04:21.169 Uttam Kumaran: Okay, okay, okay.
53 00:04:22.580 ⇒ 00:04:32.180 Uttam Kumaran: Okay, so… I need to follow up on this with Rico, actually.
54 00:04:34.180 ⇒ 00:04:34.840 Uttam Kumaran: Hmm…
55 00:04:46.750 ⇒ 00:04:59.020 Uttam Kumaran: Okay, so I don’t have my appropriate, like, swim lanes… I’m gonna stop complaining today.
56 00:05:16.930 ⇒ 00:05:23.230 Uttam Kumaran: Okay, and I want to see…
57 00:05:29.220 ⇒ 00:05:30.880 Uttam Kumaran: Everything here…
58 00:05:36.070 ⇒ 00:05:36.840 Uttam Kumaran: Cool.
59 00:05:37.650 ⇒ 00:05:43.350 Uttam Kumaran: So this is what we have, right now…
60 00:05:43.590 ⇒ 00:05:49.459 Uttam Kumaran: So, I guess, one, I want to just… maybe we can just build up the backlog of things that are…
61 00:05:50.430 ⇒ 00:05:52.959 Uttam Kumaran: That we want to start working on.
62 00:05:53.340 ⇒ 00:06:01.079 Uttam Kumaran: I guess to just set the stage again, like, I think our contract with them… goes until…
63 00:06:01.920 ⇒ 00:06:05.409 Uttam Kumaran: October 31st, we have 15 more days.
64 00:06:08.260 ⇒ 00:06:16.630 Uttam Kumaran: But, yeah, I guess, Robert, tell me, give me… kind of give me a sense of, like, what we want to plan to do in the next 15 days. I can create tickets, and then begin to…
65 00:06:17.470 ⇒ 00:06:20.080 Uttam Kumaran: begin to groom those. We can…
66 00:06:21.300 ⇒ 00:06:25.550 Uttam Kumaran: We can hit that, like, sort of as overarching, like, questions you want answered.
67 00:06:25.680 ⇒ 00:06:29.640 Uttam Kumaran: We can hit it as, like, if you have specific stuff.
68 00:06:29.640 ⇒ 00:06:30.250 Robert Tseng: Yeah.
69 00:06:31.080 ⇒ 00:06:31.720 Uttam Kumaran: Yeah.
70 00:06:34.970 ⇒ 00:06:36.320 Robert Tseng: So…
71 00:06:37.830 ⇒ 00:06:45.170 Robert Tseng: Are you… can I… I mean, I’m, like, kind of processing through it, like, live as well, so… can I share my screen, or… Okay.
72 00:06:45.680 ⇒ 00:06:47.310 Uttam Kumaran: Sure, sure, sure, yeah, share your screen.
73 00:06:48.000 ⇒ 00:06:53.180 Robert Tseng: Okay, yeah, because I don’t think anybody… you’re the only one that’s going to be touching your tickets anyway, so…
74 00:06:53.530 ⇒ 00:06:57.750 Robert Tseng: We could do…
75 00:07:04.280 ⇒ 00:07:12.350 Robert Tseng: Okay, so once again, I’ve kind of been going back on, like, a Notion kind of, like, cleanup across all of our clients. I just feel like these haven’t really been that useful for…
76 00:07:12.670 ⇒ 00:07:22.930 Robert Tseng: What we’ve needed. So, I mean, this is just a call-out, this is Rico’s on this call, but I kind of need a database, like, I don’t know, it’s just like a…
77 00:07:23.160 ⇒ 00:07:28.549 Robert Tseng: documents database for every client. I think I set up Insomnia, like.
78 00:07:28.760 ⇒ 00:07:43.979 Robert Tseng: This is, like, where everything should be centralized, so I don’t care if it’s the same database, so we filter it by client, or we create new ones for every client, but I just need a view that’s, like, all the different artifacts, and then I can categorize and add descriptions or whatever, and then…
79 00:07:44.330 ⇒ 00:07:50.500 Robert Tseng: So yeah, I think that’s something I want to call out that we… the action item for you to kind of go through this.
80 00:07:50.920 ⇒ 00:07:54.029 Robert Tseng: I’m trying to consolidate what we have in README right now.
81 00:07:54.130 ⇒ 00:08:00.240 Robert Tseng: But, I guess, generally speaking, this is a pretty documentation-light client. It’s just, like, a couple things.
82 00:08:00.430 ⇒ 00:08:07.670 Robert Tseng: So, we have, these conversion hypotheses, and then…
83 00:08:08.380 ⇒ 00:08:12.459 Robert Tseng: These are the old ones, by seeing…
84 00:08:14.400 ⇒ 00:08:17.449 Robert Tseng: This one? No, I made that.
85 00:08:18.860 ⇒ 00:08:21.060 Robert Tseng: So… listen.
86 00:08:22.500 ⇒ 00:08:27.590 Robert Tseng: Mmm… Okay, have to read me…
87 00:08:34.280 ⇒ 00:08:37.789 Robert Tseng: He’s dark. External…
88 00:08:41.370 ⇒ 00:08:44.459 Robert Tseng: some stuff… re-read. There we go.
89 00:08:46.370 ⇒ 00:08:47.219 Robert Tseng: I don’t know.
90 00:08:50.970 ⇒ 00:08:51.920 Robert Tseng: Okay.
91 00:08:52.310 ⇒ 00:08:53.800 Robert Tseng: Oh, I did convert it.
92 00:08:54.420 ⇒ 00:08:55.690 Robert Tseng: I suppose.
93 00:08:56.550 ⇒ 00:08:59.290 Robert Tseng: Okay, well, then there’s that.
94 00:09:00.410 ⇒ 00:09:08.850 Robert Tseng: URL… 1… Ew.
95 00:09:09.670 ⇒ 00:09:17.949 Robert Tseng: These are, like, the old… Old, quiet, disco Docs, pretty much.
96 00:09:18.440 ⇒ 00:09:28.749 Robert Tseng: So, we’re going to be pulling a roadmap off of this, pretty much. So, I would say the urgent one, or, like, the one we’re still focused on, is kind of what they’re calling pricing analytics. I kind of, like.
97 00:09:28.920 ⇒ 00:09:41.829 Robert Tseng: I took their sheet, and then I, like, kind of transformed it into something that I felt like was more helpful for me to break it down. So, things that we’ve done so far… conversion at each step of the funnel. So, okay, a ticket that we need to do still is,
98 00:09:44.660 ⇒ 00:09:52.289 Robert Tseng: like, QA the… Funnel, or, like, kind of…
99 00:09:53.410 ⇒ 00:10:05.000 Robert Tseng: funnel step, conversions by funnel step, so… Like, the number of signups… Number of,
100 00:10:05.930 ⇒ 00:10:12.000 Robert Tseng: Paid conversions, or, like, kind of, paid plan purchases, or whatever.
101 00:10:12.440 ⇒ 00:10:17.260 Robert Tseng: Sign-ups, pro- yeah, those are the…
102 00:10:17.460 ⇒ 00:10:23.269 Robert Tseng: There’s a couple others in the funnel, but those are the two main ones, which we should be able to get these out of Mongo.
103 00:10:23.990 ⇒ 00:10:26.910 Robert Tseng: That Henry’s working on already.
104 00:10:28.960 ⇒ 00:10:36.850 Robert Tseng: But I don’t know if it’s in the right ticket. So, yeah, every time I’m just, like, kind of going through this, and I’m, like, saying, like, what should… these are… should be tickets.
105 00:10:37.350 ⇒ 00:10:38.740 Robert Tseng: Southside.
106 00:10:38.740 ⇒ 00:10:41.699 Uttam Kumaran: Can you, yeah, can you edit access to this?
107 00:10:42.370 ⇒ 00:10:42.950 Robert Tseng: Oh.
108 00:10:43.060 ⇒ 00:10:43.890 Robert Tseng: Weird.
109 00:10:50.560 ⇒ 00:10:53.599 Robert Tseng: Okay, so that’s that.
110 00:10:54.970 ⇒ 00:10:56.199 Robert Tseng: And then I don’t think…
111 00:10:56.200 ⇒ 00:10:58.490 Uttam Kumaran: Yeah, I think there’s two of these docs.
112 00:11:00.290 ⇒ 00:11:00.750 Robert Tseng: Are there…
113 00:11:00.750 ⇒ 00:11:01.100 Uttam Kumaran: actors.
114 00:11:01.100 ⇒ 00:11:06.599 Robert Tseng: Yeah, one of them might be their version, which… I don’t know why I couldn’t access that, but
115 00:11:10.290 ⇒ 00:11:13.479 Robert Tseng: Yeah, that’s why I was, like, looking for this space.
116 00:11:13.480 ⇒ 00:11:18.670 Uttam Kumaran: Yeah, there’s two, so I have one, and you’re opening one. They’re the same titles, but, like, I would just…
117 00:11:19.790 ⇒ 00:11:21.190 Uttam Kumaran: Delete one of them.
118 00:11:22.250 ⇒ 00:11:25.359 Robert Tseng: Okay, I don’t know what… which is which, but…
119 00:11:26.150 ⇒ 00:11:27.860 Uttam Kumaran: Tummy disk, just tummy.
120 00:11:29.640 ⇒ 00:11:30.640 Robert Tseng: This one.
121 00:11:30.990 ⇒ 00:11:31.610 Uttam Kumaran: Yeah.
122 00:11:31.760 ⇒ 00:11:32.710 Uttam Kumaran: I’ll just…
123 00:11:44.740 ⇒ 00:11:45.740 Robert Tseng: Okay.
124 00:11:59.740 ⇒ 00:12:04.639 Robert Tseng: Okay, so there’s that, and then kind of my plan type, so…
125 00:12:05.610 ⇒ 00:12:10.110 Robert Tseng: This is another ticket to basically…
126 00:12:13.260 ⇒ 00:12:22.900 Robert Tseng: kind of similar to what we were doing in Insomnia, basically, like, Build taxonomy, Or… plans, like…
127 00:12:24.700 ⇒ 00:12:29.139 Robert Tseng: Plan, level, drill down, so it’s like it goes, like.
128 00:12:29.610 ⇒ 00:12:34.780 Robert Tseng: I guess I suppose it’s trial… then plan…
129 00:12:37.970 ⇒ 00:12:40.520 Robert Tseng: To plan to aid.
130 00:12:45.070 ⇒ 00:12:54.800 Robert Tseng: User categories. They may have something like this, may have something like this, and…
131 00:12:55.180 ⇒ 00:13:01.269 Robert Tseng: Mongo already, but it doesn’t look like it. Looks like these are just, like, labels in amplitude right now.
132 00:13:01.480 ⇒ 00:13:02.530 Robert Tseng: So…
133 00:13:04.160 ⇒ 00:13:06.059 Henry Zhao: I’ll see what that means, though.
134 00:13:06.060 ⇒ 00:13:13.650 Robert Tseng: Yeah, without these definitions, like, we were kind of just, like, kind of guessing at the segmentation for users again. So yeah, this is kind of…
135 00:13:14.080 ⇒ 00:13:18.100 Robert Tseng: You know, it’s not just plant type, we also want to, like, kind of consider, like.
136 00:13:18.950 ⇒ 00:13:25.260 Robert Tseng: Build user segments based on activity, So,
137 00:13:26.840 ⇒ 00:13:36.189 Robert Tseng: like, I don’t know, like, first… Product created, like, first,
138 00:13:38.630 ⇒ 00:13:45.269 Robert Tseng: yeah, kind of defining what those milestones are. If they’re in the tracking plan, there is already something there, and…
139 00:13:46.090 ⇒ 00:13:47.440 Robert Tseng: RV…
140 00:13:53.570 ⇒ 00:14:01.640 Robert Tseng: Yeah, so this is another thing that needs to… be, here…
141 00:14:10.600 ⇒ 00:14:19.479 Robert Tseng: yeah, I mean, this obviously needs to be expanded, but this was originally what I gave to their engineering team. They implemented it. This is how they’re able to even track anything in amplitude.
142 00:14:19.580 ⇒ 00:14:34.730 Robert Tseng: They’ve built on top of this, following the same kind of, like, structure as they’ve added new features. So, I’m sure, like, what they have implemented is actually more than what I have in this list, but that was kind of what they implemented to get anything in Amplitude in the first place.
143 00:14:35.540 ⇒ 00:14:40.680 Robert Tseng: So, maybe there’s even a ticket around,
144 00:15:00.460 ⇒ 00:15:04.049 Robert Tseng: amplitude tracking, like, V2 kind of thing.
145 00:15:04.500 ⇒ 00:15:05.020 Robert Tseng: Which…
146 00:15:05.020 ⇒ 00:15:05.700 Henry Zhao: That’s pretty cool.
147 00:15:05.700 ⇒ 00:15:06.470 Robert Tseng: is…
148 00:15:07.960 ⇒ 00:15:10.530 Henry Zhao: I didn’t even know we did an M2 tracking plan for them, that was cool.
149 00:15:10.950 ⇒ 00:15:14.170 Robert Tseng: Oh, yeah, yeah, that’s how they even got everything there.
150 00:15:15.720 ⇒ 00:15:22.429 Robert Tseng: I mean, they have… if you look at the history, they’ve had amplitude for, like, a couple years, but it pretty much was just, like, not coherent for a while.
151 00:15:22.980 ⇒ 00:15:28.320 Robert Tseng: Well, the context here is, like,
152 00:15:33.200 ⇒ 00:15:34.550 Robert Tseng: They…
153 00:15:43.800 ⇒ 00:15:44.770 Robert Tseng: Oh, dear.
154 00:15:49.990 ⇒ 00:16:07.700 Robert Tseng: Yeah, reliant on, like, amplitude, auto… Auto tracker… Not sending server… side events into amplitude, so…
155 00:16:07.830 ⇒ 00:16:16.759 Robert Tseng: This is kind of like the opposite problem of… of, of Ellie, Ellie only sends…
156 00:16:16.870 ⇒ 00:16:25.240 Robert Tseng: like, integrated, like, server events from Azure and… I guess, helpfully… Mike.
157 00:16:25.360 ⇒ 00:16:34.460 Robert Tseng: Basically, like, you know, README doesn’t send anything from Mongo or any other source.
158 00:16:36.070 ⇒ 00:16:40.390 Robert Tseng: It’s all just, yeah, it’s all just auto, like, JS.
159 00:16:41.240 ⇒ 00:16:43.829 Henry Zhao: Do they have a database they should be sending Mongo data to?
160 00:16:44.660 ⇒ 00:16:51.159 Robert Tseng: Well, I’m assuming Mongo should be their database. They don’t have a data warehouse, but Mongo should be their production DB.
161 00:16:51.980 ⇒ 00:16:52.370 Henry Zhao: That’s good enough.
162 00:16:52.370 ⇒ 00:16:53.150 Robert Tseng: authors.
163 00:16:53.710 ⇒ 00:17:12.990 Robert Tseng: Yeah, they can… they should be able to send it from there. So, I mean, this is not as urgent, but this is, like, well, if they want to continue to build on, amplitude… like, I think this is a whole project in and of itself, like, amplitude tracking V2, and you could kind of, like, we could tick it out, like, what the different steps are, like, there’s, you know, select events that…
164 00:17:13.720 ⇒ 00:17:17.469 Robert Tseng: Like, milestone events that need to…
165 00:17:17.990 ⇒ 00:17:21.690 Robert Tseng: Move from client-side to server-side, so…
166 00:17:23.480 ⇒ 00:17:30.660 Robert Tseng: Like, this should be stuff like, obviously, subscription, purchases… Bye.
167 00:17:31.770 ⇒ 00:17:34.120 Robert Tseng: Like, payment events,
168 00:17:34.420 ⇒ 00:17:44.620 Robert Tseng: I mean, honestly, sign-ups and the sign-ups should be there. Any high-fidelity, like, event that… Needs to be.
169 00:17:45.000 ⇒ 00:17:45.800 Robert Tseng: So…
170 00:17:47.560 ⇒ 00:17:48.750 Uttam Kumaran: Okay.
171 00:17:50.480 ⇒ 00:17:56.639 Robert Tseng: Yeah. So… because right now, we’re just kind of hacking away at it with, like, the stuff that we’ve built out.
172 00:18:00.340 ⇒ 00:18:05.719 Robert Tseng: By the way, you just tell me when, like, my time is up, and, like, I’ve been trying to just walk through whenever I… I can.
173 00:18:05.720 ⇒ 00:18:06.400 Uttam Kumaran: Oh, this is great.
174 00:18:06.400 ⇒ 00:18:07.449 Robert Tseng: workers’ job desk.
175 00:18:07.880 ⇒ 00:18:10.870 Robert Tseng: Okay, then we have… okay.
176 00:18:11.080 ⇒ 00:18:17.180 Robert Tseng: funneled by product features. Okay, so user segments based on activity, and then we also need a ticket on…
177 00:18:20.440 ⇒ 00:18:24.520 Robert Tseng: That’s, plus… Yes.
178 00:18:25.050 ⇒ 00:18:31.940 Robert Tseng: So… I mean, this itself is a ticket, this is analysis.
179 00:18:33.550 ⇒ 00:18:41.660 Robert Tseng: It has… I’m currently Rack.
180 00:18:42.000 ⇒ 00:18:45.799 Robert Tseng: Like, button presses and submissions.
181 00:18:46.500 ⇒ 00:18:50.860 Robert Tseng: But not really… workflows.
182 00:18:50.970 ⇒ 00:18:53.170 Robert Tseng: Around feature sets.
183 00:18:53.310 ⇒ 00:18:57.760 Robert Tseng: So… like, i.e, like, the AI feature set.
184 00:19:01.380 ⇒ 00:19:03.899 Robert Tseng: Set, like, it has to go… you have to…
185 00:19:04.090 ⇒ 00:19:09.879 Robert Tseng: you know, you have to open the AI chat, and then you, like, you know, how many…
186 00:19:10.020 ⇒ 00:19:14.520 Robert Tseng: enter X number of queries to get to
187 00:19:15.150 ⇒ 00:19:27.889 Robert Tseng: the answer he wants, and then, like, what actions are users taking? So, like, being able to tell the story of, like, okay, they’ve released all these AI features, like, what’s the story? Like, what’s the story, like, that…
188 00:19:30.240 ⇒ 00:19:37.950 Robert Tseng: What are users actually… doing with these features. And this is, like, a… it’s a mix of…
189 00:19:38.610 ⇒ 00:19:47.869 Robert Tseng: mix of qual… wall and quat, because… We can use, like,
190 00:19:49.540 ⇒ 00:19:56.210 Robert Tseng: I believe on… I don’t think they have… maybe they do. Like, session… session recordings, or, like.
191 00:19:57.700 ⇒ 00:20:02.429 Robert Tseng: Plus, like, tracked event data to get all that.
192 00:20:02.730 ⇒ 00:20:04.990 Robert Tseng: But this is, like, a whole analysis on itself.
193 00:20:04.990 ⇒ 00:20:10.510 Uttam Kumaran: And then what is this… this… so the outcome of this is like a… basically a meeting and an analysis report.
194 00:20:11.880 ⇒ 00:20:12.480 Robert Tseng: Yeah.
195 00:20:14.430 ⇒ 00:20:28.829 Robert Tseng: And, well, it’s like, we’re also kind of… whatever… however we decide to end up measuring this, which I feel like we should get to a template soon, or, like, playbook, like, we haven’t had to do product analytics alongside feature launches with any of our clients yet.
196 00:20:29.180 ⇒ 00:20:36.430 Robert Tseng: And I think it’s, you know, that’s how it should be in a mature organization. Like, they rely on the product analytics team to know
197 00:20:37.370 ⇒ 00:20:55.420 Robert Tseng: like, are these features good? Like, which ones should we turn off? Like, and, like, try to figure out, say, you launched 10 features, well, only 6 of them are being used, you should cut out the 4 because whatever reason. So, like, I, you know, that whole, like, feedback loop hasn’t been established yet, and I think that’s… that’s kind of where…
198 00:20:55.520 ⇒ 00:20:58.190 Robert Tseng: who want… where I think this work should be headed.
199 00:20:59.020 ⇒ 00:20:59.780 Robert Tseng: With that.
200 00:21:00.410 ⇒ 00:21:11.340 Henry Zhao: And additionally, I think, like, we should add to our book of services, like, A-B testing, because I think while feature launches and product analytics are happening, it’s prime for A-B testing and, like, figuring that stuff out. Yeah. Have data for that.
201 00:21:12.740 ⇒ 00:21:19.519 Robert Tseng: Yeah, so this is, like, the whole, like, project itself, like, A-B testing playbook, or,
202 00:21:28.450 ⇒ 00:21:33.799 Robert Tseng: Yeah, which our current playbook, we have… we have a playbook that works.
203 00:21:34.260 ⇒ 00:21:39.390 Robert Tseng: for this use case, like, I built it for, like, another product analytics.
204 00:21:39.850 ⇒ 00:21:40.760 Robert Tseng: before.
205 00:21:40.880 ⇒ 00:21:43.400 Robert Tseng: But… but, like, the caveat is…
206 00:21:43.680 ⇒ 00:21:50.889 Robert Tseng: the volume in README is very low, so we’re never gonna hit statistical significance. And I do have, like, some exceptions in the playbook for, like, how we hand…
207 00:21:51.010 ⇒ 00:22:04.800 Robert Tseng: when we use diff and diff, when we can basically continue to move forward without using… without relying on statistical significance. So, yeah, I think that’s kind of, like, one… I mean, these two tickets probably are, like, one project, so,
208 00:22:05.180 ⇒ 00:22:07.610 Robert Tseng: Yeah, like, this is less about funnel.
209 00:22:08.100 ⇒ 00:22:20.010 Robert Tseng: Or, like, this is less about onboarding optimization, this is now shifting towards, like, you know, product… like, this is, like, truly product analytics, like, whatever. So, that’s that.
210 00:22:20.920 ⇒ 00:22:25.050 Robert Tseng: Yeah, I mean, I don’t want to take up whole time. We can keep going, but otherwise,
211 00:22:25.670 ⇒ 00:22:29.350 Robert Tseng: that’s kind of… I think those are… those are a couple of the projects we want to…
212 00:22:29.940 ⇒ 00:22:30.480 Robert Tseng: Put it in front.
213 00:22:30.480 ⇒ 00:22:33.129 Uttam Kumaran: Okay, cool. So there are some questions about…
214 00:22:33.320 ⇒ 00:22:39.829 Uttam Kumaran: amplitude that I have, there’s some… there’s some things about these. So, basically, what I’ve done is I’ve kind of, like.
215 00:22:40.070 ⇒ 00:22:43.079 Uttam Kumaran: And I don’t know how, like, you’ve ticketed, sort of.
216 00:22:43.250 ⇒ 00:22:47.310 Uttam Kumaran: analysis work in the past, but I do think that These are actually…
217 00:22:47.750 ⇒ 00:22:54.920 Uttam Kumaran: great to take it out, answering a question, and the outcomes of these are either a Notion doc, a slide, or both.
218 00:22:55.180 ⇒ 00:22:56.330 Robert Tseng: Yeah.
219 00:22:56.610 ⇒ 00:22:59.669 Uttam Kumaran: Can you give me a sense of, like,
220 00:23:00.630 ⇒ 00:23:14.900 Uttam Kumaran: like, priority, so we have ill self-serve conversion improving? Are we seeing shifts in conversion after introducing trial? What percentage of trial users convert to paid versus downgrade after 14 days? Commonly used features that result in better
221 00:23:14.960 ⇒ 00:23:20.779 Uttam Kumaran: Conversion, we have the taxonomy for a trial plan paid.
222 00:23:20.890 ⇒ 00:23:23.919 Uttam Kumaran: And then we also have the user segments based on activity.
223 00:23:25.020 ⇒ 00:23:30.899 Robert Tseng: Yeah, as far as their priorities,
224 00:23:32.010 ⇒ 00:23:34.739 Robert Tseng: I would kind of want to go back to her original thought.
225 00:23:41.390 ⇒ 00:23:49.520 Robert Tseng: We moved stuff to me, so… Yep, instead of eating… Oops.
226 00:23:49.810 ⇒ 00:23:59.349 Robert Tseng: Okay, I don’t know where her original doc was, but, like, I would… okay, fine, if I were to guess off these questions, I mean, the work that we’re doing here is really just, like.
227 00:23:59.770 ⇒ 00:24:05.299 Robert Tseng: Yeah, I would say it’s in this order. Yeah, so…
228 00:24:08.740 ⇒ 00:24:10.190 Uttam Kumaran: Okay.
229 00:24:10.440 ⇒ 00:24:13.629 Robert Tseng: Yeah, just, like, conversion, post…
230 00:24:13.840 ⇒ 00:24:18.330 Robert Tseng: September, pretty much. It’s, like, kind of what this work is trying to figure out.
231 00:24:18.690 ⇒ 00:24:25.919 Robert Tseng: And then they… they did launch, like, this set of AI features that’s kind of, like, the next question as well. So, I mean, they’ve…
232 00:24:25.960 ⇒ 00:24:39.710 Robert Tseng: there is, there’s already a notebook for answering this question specifically. There’s, like, a new notebook that started to answer this one. We haven’t gotten there if we haven’t finished it yet. Just kind of like, if, before my check-in with her tomorrow, like, I was gonna add some more to this.
233 00:24:39.870 ⇒ 00:24:44.450 Robert Tseng: And then, like, yeah, we haven’t really gotten around to this… this one yet.
234 00:24:46.050 ⇒ 00:24:46.660 Uttam Kumaran: Okay.
235 00:24:47.210 ⇒ 00:24:47.780 Robert Tseng: Yeah.
236 00:25:02.760 ⇒ 00:25:07.080 Uttam Kumaran: Okay, great. So… I think, like, I want to talk about, like, what is…
237 00:25:07.700 ⇒ 00:25:13.550 Uttam Kumaran: Like, what’s on… what are we on the hook for this week, and then what can we plan to do,
238 00:25:13.800 ⇒ 00:25:14.780 Uttam Kumaran: Next week.
239 00:25:16.510 ⇒ 00:25:28.989 Robert Tseng: Yeah, well, I think the readout for this one is already done for, like, yeah, I guess, like, this one I will have ready by tomorrow, and then this is for next week, I guess. Anything else that I’ve mentioned is not really…
240 00:25:30.000 ⇒ 00:25:30.590 Uttam Kumaran: Okay.
241 00:25:31.490 ⇒ 00:25:35.300 Uttam Kumaran: So, let me just, in an effort to just, like.
242 00:25:36.190 ⇒ 00:25:41.619 Uttam Kumaran: be really obvious. So, when you answer this question, the acceptance criteria is…
243 00:25:41.770 ⇒ 00:25:44.449 Uttam Kumaran: This, like, notebook analysis on the left.
244 00:25:45.650 ⇒ 00:25:49.620 Robert Tseng: Yeah, it’ll be a notebook, and then…
245 00:25:50.340 ⇒ 00:26:02.900 Robert Tseng: I guess for this… for the first question, because they wanted to put something in front of their, kind of C-suite, like, they asked for a dashboard that was less wordy, so I basically converted this notebook into a dashboard view, so I gave them two things there.
246 00:26:03.060 ⇒ 00:26:05.979 Robert Tseng: But yeah, there’s always gonna be a working notebook.
247 00:26:06.970 ⇒ 00:26:11.690 Robert Tseng: whether it’s an amplitude analysis, or I don’t know if eventually it will expand to other
248 00:26:12.090 ⇒ 00:26:19.220 Robert Tseng: things. And then there’s gonna be some sort of readout that’s either a dashboard, a deck, or the document, or whatever.
249 00:26:20.790 ⇒ 00:26:21.680 Uttam Kumaran: Okay.
250 00:26:21.910 ⇒ 00:26:23.420 Robert Tseng: Yeah. So…
251 00:26:24.410 ⇒ 00:26:26.060 Uttam Kumaran: Okay, that’s helpful.
252 00:26:32.070 ⇒ 00:26:32.850 Uttam Kumaran: Okay.
253 00:26:33.400 ⇒ 00:26:39.030 Uttam Kumaran: Okay, great. So I think for next cycle, Henry can take on the other two questions.
254 00:26:40.880 ⇒ 00:26:45.490 Uttam Kumaran: And I think my goal would basically be…
255 00:26:47.600 ⇒ 00:26:51.539 Uttam Kumaran: that he can prepare, like, a V1 of a notebook, and then hand it to you.
256 00:26:51.860 ⇒ 00:26:53.489 Uttam Kumaran: I think it was a good place to start.
257 00:26:53.970 ⇒ 00:26:54.620 Robert Tseng: Yeah.
258 00:26:54.970 ⇒ 00:26:57.010 Henry Zhao: Yeah, can you share this dog with me also?
259 00:26:58.650 ⇒ 00:26:59.360 Uttam Kumaran: Yeah, it’s in.
260 00:26:59.360 ⇒ 00:26:59.820 Robert Tseng: Yeah.
261 00:26:59.820 ⇒ 00:27:02.080 Uttam Kumaran: Notion, I’ll share with you.
262 00:27:02.250 ⇒ 00:27:10.670 Robert Tseng: Yeah, it’ll be in the READM Notion, and, like, it’ll all be tracked here. I would say, like, question-wise, like, I don’t know, I… I tend to, when I’m…
263 00:27:11.030 ⇒ 00:27:28.780 Robert Tseng: I tend to outline my analysis this way, so, like, I would even take a question, I would just kind of put whatever is helpful for you, but I do want to see an outline. Like, I don’t want you to just jump into things and just, like, meander around without, like, kind of knowing what you’re looking at. I think it’d be helpful for us to kind of talk through how you’re approaching it.
264 00:27:29.410 ⇒ 00:27:33.860 Robert Tseng: I think that’s a lesson learned that I would prefer to see that up front, yeah.
265 00:27:33.860 ⇒ 00:27:34.470 Henry Zhao: Okay.
266 00:27:35.180 ⇒ 00:27:39.420 Uttam Kumaran: So, I guess, like, to break it down further, so one, I can create, like, a…
267 00:27:39.580 ⇒ 00:27:48.860 Uttam Kumaran: ticket for, like, the outline creation, and then I can create a ticket for, like, conducting analysis. And so the outline would have to go through a review by you, and then it’s, like, conduct the analysis.
268 00:27:49.110 ⇒ 00:27:51.220 Henry Zhao: Sure, yeah, I know your boat about that, too.
269 00:27:52.000 ⇒ 00:27:52.640 Uttam Kumaran: Okay.
270 00:27:53.320 ⇒ 00:27:55.160 Henry Zhao: So I’m not, like, going down the wrong path, you know?
271 00:27:56.060 ⇒ 00:27:56.690 Robert Tseng: Yeah.
272 00:27:58.400 ⇒ 00:27:59.250 Henry Zhao: Oh, I like it.
273 00:28:00.730 ⇒ 00:28:01.430 Robert Tseng: Okay.
274 00:28:06.450 ⇒ 00:28:07.360 Uttam Kumaran: Okay, so let me…
275 00:28:07.360 ⇒ 00:28:09.019 Robert Tseng: And move on to the next one, I guess.
276 00:28:09.020 ⇒ 00:28:14.959 Uttam Kumaran: And then, I guess last thing is, like, if… for due dates of these, so…
277 00:28:15.080 ⇒ 00:28:19.969 Uttam Kumaran: Would it be helpful for Henry to, like, try to do the outline for these by…
278 00:28:20.580 ⇒ 00:28:23.380 Uttam Kumaran: This week, and then that way you can review.
279 00:28:23.850 ⇒ 00:28:24.790 Uttam Kumaran: Like, what’s…
280 00:28:25.440 ⇒ 00:28:36.660 Robert Tseng: Our cadence with them is just supposed to be one check-in a week. It’s usually on Tuesdays, it got punted to Thursday this week, but, yeah, I’m not really trying to meet with them more than that for their current size.
281 00:28:38.080 ⇒ 00:28:49.910 Robert Tseng: Yeah, but obviously, once we get, like, one or… one… one or two weeks out from, like, our… so probably, like, next week, I might try to… try to push for the… starting to… starting to make the case for the upsell, so…
282 00:28:49.940 ⇒ 00:28:58.180 Robert Tseng: if we’re… if we’re done by end of month, end of next week, then I want to have a deck… deck ready for them, with basically…
283 00:28:58.630 ⇒ 00:29:07.090 Robert Tseng: kind of just, like, a more packaged view of, like, kind of the roadmap that we’ve… that we’ve put together. So that’ll just be run through something similar to what we’ve done for all the other clients.
284 00:29:07.690 ⇒ 00:29:10.210 Henry Zhao: Readme?
285 00:29:14.250 ⇒ 00:29:16.230 Henry Zhao: You know that for the daytime, yeah.
286 00:29:17.010 ⇒ 00:29:17.550 Uttam Kumaran: Yeah.
287 00:29:17.550 ⇒ 00:29:18.310 Robert Tseng: huh?
288 00:29:20.120 ⇒ 00:29:22.480 Uttam Kumaran: I have it in our book.
289 00:29:22.480 ⇒ 00:29:24.460 Henry Zhao: And I’ll try to learn from our Eden learnings.
290 00:29:28.570 ⇒ 00:29:29.150 Robert Tseng: I would say.
291 00:29:29.150 ⇒ 00:29:31.629 Henry Zhao: You have to spend up to 10.
292 00:29:31.870 ⇒ 00:29:32.620 Henry Zhao: Okay.
293 00:29:33.100 ⇒ 00:29:38.020 Robert Tseng: Yeah, but I mean, I’ve been working on it too, so, like, the two of us, I mean, it’s fine. My time’s not really built, so…
294 00:29:38.380 ⇒ 00:29:40.920 Robert Tseng: Yeah, I think up to 10, yeah.
295 00:29:42.400 ⇒ 00:29:44.480 Robert Tseng: 10 a week, up to 10 a week, yeah.
296 00:29:45.290 ⇒ 00:29:46.970 Henry Zhao: Yeah, 10 total, and then I’m done.
297 00:29:50.490 ⇒ 00:29:58.240 Uttam Kumaran: Okay, cool. So, I’m gonna leave this… those two, and then I’ll… Henry, I’ll create the outlines. Do you think you could do the outlines by Friday?
298 00:29:58.240 ⇒ 00:29:59.040 Henry Zhao: Yeah, of course.
299 00:29:59.760 ⇒ 00:30:05.640 Uttam Kumaran: Okay, so… Okay.
300 00:30:07.150 ⇒ 00:30:11.640 Uttam Kumaran: So these two…
301 00:30:11.640 ⇒ 00:30:16.449 Henry Zhao: Robert, when’s our 101? I think it’s Thursday, right? So, I’m probably gonna try to get it done before our 101.
302 00:30:17.000 ⇒ 00:30:18.160 Robert Tseng: Okay, sure, yeah.
303 00:30:18.160 ⇒ 00:30:19.049 Henry Zhao: Already go over it.
304 00:30:19.820 ⇒ 00:30:22.310 Henry Zhao: At least you can tell me if it’s, like, what… yeah.
305 00:30:22.850 ⇒ 00:30:37.750 Robert Tseng: Yeah, yeah, no, I mean, I think as we kind of walked through last time, like, there’s a lot of things that you don’t know, so you’re gonna just, you know, a lot of it is your intuition, how you’re structuring it, you’re pushing the problem. Like, I’m more interested in investigating your hypotheses, how you feel like you’re going to
306 00:30:38.050 ⇒ 00:30:52.929 Robert Tseng: kind of how you’re going to investigate them, and then I can let you… I think my feedback is going to be, like, I think you’re going to run into XYZ limitations, or, like, maybe this is not… that’s a rabbit hole that you shouldn’t go down, whatever. So, that’s kind of how I see that going.
307 00:30:53.650 ⇒ 00:30:55.230 Henry Zhao: Okay. Yeah.
308 00:30:55.990 ⇒ 00:31:03.379 Uttam Kumaran: Okay, great. So this gives us at least another 2 weeks of work. I don’t know… it seems like the amplitude stuff, like, that may just land on you.
309 00:31:03.940 ⇒ 00:31:08.119 Uttam Kumaran: Robert, or unless you’re gonna use that to, like, propose the next set of work.
310 00:31:09.650 ⇒ 00:31:14.830 Uttam Kumaran: Like, we have these questions on, like, Amplitude tracking improvements.
311 00:31:15.150 ⇒ 00:31:21.660 Robert Tseng: Oh, yeah, yeah. I mean, that’s not what I want to lean off on. Like, I want to… once we’re in Mongo, and we’re seeing more of their…
312 00:31:21.800 ⇒ 00:31:35.209 Robert Tseng: like, that’s what I want to do next week. I want to just… once we have a good sense of what data they have, like, I know that PLG is only 20% of their business. Like, 80% of it is still, like, the classic enterprise SaaS model, where they have, like.
313 00:31:35.370 ⇒ 00:31:38.189 Robert Tseng: You know, go-to-market team doing, like, the whole…
314 00:31:38.450 ⇒ 00:31:55.820 Robert Tseng: basically the same thing that we do to acquire new customers, so I still want to try to knock on the door for the other work, but, you know, if it’s… that’s… that’s kind of what I’m hoping to expand more into. But I will… I will pitch the amplitude next steps, too. Like, it seems like they’re open to that, too.
315 00:31:57.910 ⇒ 00:31:58.480 Uttam Kumaran: Okay.
316 00:32:01.490 ⇒ 00:32:07.260 Uttam Kumaran: Great, so let’s talk about, insomnia next.
317 00:32:07.740 ⇒ 00:32:08.500 Robert Tseng: Okay.
318 00:32:11.600 ⇒ 00:32:13.810 Uttam Kumaran: Yeah, let’s talk about insomnia next.
319 00:32:14.150 ⇒ 00:32:16.930 Uttam Kumaran: Henry, you can stay or leave, either one.
320 00:32:17.820 ⇒ 00:32:18.410 Uttam Kumaran: Hmm…
321 00:32:18.410 ⇒ 00:32:19.410 Henry Zhao: and multitask.
322 00:32:19.630 ⇒ 00:32:20.230 Uttam Kumaran: Okay.
323 00:32:20.470 ⇒ 00:32:21.710 Uttam Kumaran: So…
324 00:32:25.130 ⇒ 00:32:30.559 Uttam Kumaran: I think I want to do kind of a little bit of a similar exercise, just make sure that all these tickets
325 00:32:30.920 ⇒ 00:32:33.549 Uttam Kumaran: are… still valid.
326 00:32:33.760 ⇒ 00:32:37.269 Uttam Kumaran: Again, I don’t care much about the stuff in cycle.
327 00:32:37.520 ⇒ 00:32:41.160 Uttam Kumaran: Talking more about stuff next cycle and stuff in Backlog.
328 00:32:41.430 ⇒ 00:32:42.450 Uttam Kumaran: Yeah.
329 00:32:43.540 ⇒ 00:32:44.900 Uttam Kumaran: So…
330 00:32:46.170 ⇒ 00:32:53.799 Uttam Kumaran: I… this is a more recent client, so assume a lot of this is still valid. I think what I want to get out today is, like, make sure that
331 00:32:54.040 ⇒ 00:33:04.729 Uttam Kumaran: kind of two things, in any order. I want to make sure that our backlog reflects the backlog in your head, and then I want to go assign priorities, and then, with whatever remaining time, I want to
332 00:33:04.840 ⇒ 00:33:06.240 Uttam Kumaran: Write the requirements.
333 00:33:06.460 ⇒ 00:33:11.540 Uttam Kumaran: So… Can we zoom in a bit? Yeah, yeah, sorry.
334 00:33:12.170 ⇒ 00:33:16.910 Robert Tseng: Okay, alright, we can also expand mine. Alright, have a good… So…
335 00:33:17.450 ⇒ 00:33:25.339 Robert Tseng: Yeah, incrementality analysis… okay, I’m trying to, like… I’m pretty sure somebody came… like, I didn’t… I didn’t create these tickets, so a lot of this is, like.
336 00:33:26.290 ⇒ 00:33:28.000 Robert Tseng: Yeah, Justin Creed.
337 00:33:29.990 ⇒ 00:33:37.149 Robert Tseng: Yeah, this… this is a… this is a full-on project, like, this is for incrementality. I would say…
338 00:33:39.610 ⇒ 00:33:41.890 Robert Tseng: So actually, like, I would.
339 00:33:42.660 ⇒ 00:33:45.519 Uttam Kumaran: Well, just… just brain dump it to me, and then I can break it up.
340 00:33:47.000 ⇒ 00:33:53.650 Robert Tseng: Okay, what I had created before, sorry, I know you’re writing stuff, so let me just take the screen, and then, like, you can…
341 00:33:53.650 ⇒ 00:33:54.140 Uttam Kumaran: Yeah, yeah, yeah.
342 00:33:54.240 ⇒ 00:33:55.460 Robert Tseng: That’s how I think about it.
343 00:33:55.840 ⇒ 00:33:56.710 Robert Tseng: Yeah.
344 00:33:58.690 ⇒ 00:34:05.940 Robert Tseng: Yeah, so I know that, like, there’s a bunch of scattered tickets there, so… and there’s a couple projects, I can share this again in the,
345 00:34:06.190 ⇒ 00:34:06.880 Robert Tseng: Quiet.
346 00:34:07.300 ⇒ 00:34:08.429 Robert Tseng: Channel…
347 00:34:12.940 ⇒ 00:34:25.580 Robert Tseng: Okay, but, I basically kind of mapped out, like, the four areas of focus that I feel like every kind of analysis request kind of rolls up into. So we have a project in here that’s already called Own Channel Campaign Optimization.
348 00:34:25.780 ⇒ 00:34:40.849 Robert Tseng: kind of everything that I’m working on is really focused on that. So, that kind of rolls up into there. Then there’s, I guess, daily impact scorecard automation. Like, that’s kind of a lot of the work that Casey has been helping with, so I think that’s just gonna be…
349 00:34:40.850 ⇒ 00:34:46.839 Robert Tseng: you know, right now it’s just Daily Impact Scorecard, but maybe there will be other types of automation, and we’ll create more projects for that.
350 00:34:47.389 ⇒ 00:34:54.979 Robert Tseng: Customer payback optimization, this is, to me, is more, kind of, if I wanted to create a project, I would call it, like, that LTVAC
351 00:34:55.350 ⇒ 00:35:05.890 Robert Tseng: optimization, like, so, to me, this is more of, like, a paid media, like, opaque marketing.
352 00:35:06.300 ⇒ 00:35:22.739 Robert Tseng: We could change the names later, but which, we’re not saying we’re taking this on yet, but I see that being a possible, like, kind of set. SKU forecasting and management, I don’t know if that’s the way I want to call it, maybe it’s, like, SKU forecasting and, inventory management.
353 00:35:22.940 ⇒ 00:35:31.779 Robert Tseng: Or, no, it’s more from a marketing perspective, so… marketing, SKU, or, let me call it?
354 00:35:32.990 ⇒ 00:35:34.240 Robert Tseng: Demand.
355 00:35:34.710 ⇒ 00:35:35.760 Robert Tseng: Excuse me.
356 00:35:35.760 ⇒ 00:35:38.299 Uttam Kumaran: Oh, dude, I can create these, don’t worry, you just keep going.
357 00:35:39.770 ⇒ 00:35:55.200 Robert Tseng: All right, here, well, so yeah, so, like, I basically think everything kind of rolls up into these four categories. So I do think that the naming is there. So then, if we go back to kind of your view, which was at the issue level, looking at everything, looking at the backlog.
358 00:35:55.340 ⇒ 00:36:02.489 Robert Tseng: So, like, I’m just gonna kind of knock… incrementality, to me, this is part of, like, the SKU forecasting and management piece.
359 00:36:02.800 ⇒ 00:36:05.820 Robert Tseng: Because, we’re…
360 00:36:08.970 ⇒ 00:36:09.960 Robert Tseng: Actually.
361 00:36:10.600 ⇒ 00:36:16.429 Robert Tseng: Well, I guess here’s a better… here’s maybe one ask. Yeah. Can we… can you click on projects under Insomnia Cookies?
362 00:36:16.430 ⇒ 00:36:22.979 Uttam Kumaran: Can we just start by making sure that all of these are valid? And then, if they are… so, don’t do it in progress, just do all of them.
363 00:36:23.300 ⇒ 00:36:23.960 Robert Tseng: And then if they…
364 00:36:23.960 ⇒ 00:36:29.469 Uttam Kumaran: If they are valid, if you can just indicate priority, That’s, like, what I would…
365 00:36:29.470 ⇒ 00:36:29.880 Robert Tseng: Okay.
366 00:36:29.880 ⇒ 00:36:30.359 Uttam Kumaran: want to see.
367 00:36:31.700 ⇒ 00:36:37.229 Robert Tseng: Yeah, so these two are the highest. Obviously, this one needs to continue to be high.
368 00:36:38.280 ⇒ 00:36:44.570 Robert Tseng: Scorecard automations… No, I mean, this is, this is low.
369 00:36:49.410 ⇒ 00:36:53.689 Robert Tseng: Oh, I’m sorry, I already, I already did this, so…
370 00:36:54.810 ⇒ 00:37:00.010 Robert Tseng: Yeah, also not important. Promote campaign and analysis.
371 00:37:01.170 ⇒ 00:37:06.090 Robert Tseng: Insomnia cookies reporting, also kind of just… not really a thing.
372 00:37:06.320 ⇒ 00:37:10.079 Uttam Kumaran: I’m gonna remove this Manual Marketing Reporting Updates one.
373 00:37:12.980 ⇒ 00:37:14.950 Uttam Kumaran: Consolidated with scorecard.
374 00:37:15.610 ⇒ 00:37:16.350 Robert Tseng: Okay.
375 00:37:18.910 ⇒ 00:37:20.930 Robert Tseng: Yeah, so…
376 00:37:21.090 ⇒ 00:37:30.210 Robert Tseng: I… I don’t know if I would call this promo measurement, but yeah, I guess incrementality followed. Like, I don’t know, this is a little bit weird… worded weirdly to me.
377 00:37:33.620 ⇒ 00:37:45.599 Robert Tseng: Yeah, like, this seems… I don’t know what this means. So, like, I think this is kind of… kind of confusing to me. I… I… yeah. So, if I were to re-bucket this, maybe there is a fit category here. I’ll look into this.
378 00:37:46.410 ⇒ 00:37:48.880 Robert Tseng: Tell the market.
379 00:37:50.230 ⇒ 00:37:51.379 Robert Tseng: I’m totally shocked.
380 00:38:03.990 ⇒ 00:38:15.899 Robert Tseng: Yeah, sorry, this… this stuff doesn’t make any sense to me. I don’t know… I don’t know why we called this that. Like, I understand that these are… these tickets, like, I can’t… I can’t quickly see how they relate to each other. They’re not really the same thing.
381 00:38:16.450 ⇒ 00:38:17.010 Uttam Kumaran: Okay.
382 00:38:17.940 ⇒ 00:38:25.970 Robert Tseng: yeah, like, these different epics, they don’t really relate to each other. Competitive intelligence has nothing to do with FDA promotion, like, it’s just… something’s just really off about it, so…
383 00:38:26.280 ⇒ 00:38:26.840 Uttam Kumaran: Okay.
384 00:38:27.980 ⇒ 00:38:31.690 Robert Tseng: Yeah, so I don’t really know what to say about that one.
385 00:38:31.940 ⇒ 00:38:40.340 Robert Tseng: I would probably just scrap it and, like, re-categorize the existing… I don’t want to work that project. That makes sense.
386 00:38:43.930 ⇒ 00:38:49.710 Robert Tseng: Yeah, but, you know, once we have that, you know, importality analysis, it’s… it’s not a priority.
387 00:38:50.220 ⇒ 00:38:58.989 Robert Tseng: But it is… it is something we want to do. I think this is… they’re wanting to know…
388 00:39:00.090 ⇒ 00:39:06.679 Robert Tseng: I mean, yeah, like, when they’re launching new… yeah, when… yeah, I just… for their level.
389 00:39:08.460 ⇒ 00:39:19.689 Robert Tseng: Yeah, without… without forecasting, you can’t… you can’t do incrementality. So, like, I just… like, that’s why I would nest it under the forecasting, and it’s, like, not… not anything we’ll get to. We’re not gonna get to it anytime soon.
390 00:39:20.030 ⇒ 00:39:22.960 Robert Tseng: So, maybe I’ll just… Move that.
391 00:39:23.270 ⇒ 00:39:30.500 Robert Tseng: Okay, campaign analysis, updated growth in last year.
392 00:39:35.940 ⇒ 00:39:41.849 Robert Tseng: Oh, opt-in growth. So… Yeah, this is just…
393 00:39:48.010 ⇒ 00:39:50.600 Robert Tseng: Optin growth,
394 00:39:56.450 ⇒ 00:40:00.490 Robert Tseng: Yeah. It’s like…
395 00:40:01.760 ⇒ 00:40:06.450 Robert Tseng: whatever the heck this is, I’m just gonna put it in here. But basically, this is just saying.
396 00:40:08.030 ⇒ 00:40:10.680 Robert Tseng: What was loyalty?
397 00:40:13.110 ⇒ 00:40:15.880 Robert Tseng: Growth from 2024 to 2025.
398 00:40:18.990 ⇒ 00:40:23.200 Robert Tseng: And… I think that should be in the…
399 00:40:24.040 ⇒ 00:40:27.559 Robert Tseng: Own channel, but it’s also not a big priority.
400 00:40:28.040 ⇒ 00:40:34.889 Robert Tseng: That’s that. Crumble… yeah, so this is like a… market, research.
401 00:40:35.560 ⇒ 00:40:46.500 Robert Tseng: Like, competitive benchmarking kind of exercise that’s also… Probably more to…
402 00:40:50.090 ⇒ 00:40:52.020 Robert Tseng: Yeah.
403 00:40:58.310 ⇒ 00:41:03.630 Robert Tseng: I would… I mean, this is just external market research and competitive intelligence.
404 00:41:07.110 ⇒ 00:41:11.709 Robert Tseng: Inventory to current campaigns.
405 00:41:12.070 ⇒ 00:41:17.170 Robert Tseng: Yeah, this is not really, not a real ticket.
406 00:41:18.100 ⇒ 00:41:23.200 Robert Tseng: Analyzing the example report produced post-sales. I mean, this is…
407 00:41:27.980 ⇒ 00:41:34.080 Robert Tseng: We’re kind of doing a version of this already, like, yeah, so I’m gonna just delete that.
408 00:41:34.740 ⇒ 00:41:37.550 Robert Tseng: Design automation involved.
409 00:41:39.160 ⇒ 00:41:43.399 Robert Tseng: Right, Grubhub, also not relevant, you know, it’s, like, blocked.
410 00:41:45.230 ⇒ 00:41:51.509 Robert Tseng: Well, it’s blocked because they turned off Grandpa. Like, I don’t know, I feel we should just delete these. I don’t delete these.
411 00:41:51.510 ⇒ 00:41:53.070 Uttam Kumaran: Yeah, just… okay.
412 00:41:53.770 ⇒ 00:41:55.069 Uttam Kumaran: We’ll just cancel them.
413 00:41:55.510 ⇒ 00:41:56.750 Robert Tseng: Oh, sorry. Okay.
414 00:41:56.750 ⇒ 00:41:57.690 Uttam Kumaran: That’s fine, that’s fine.
415 00:41:59.010 ⇒ 00:42:02.320 Robert Tseng: I don’t know, cancel. Status to cancel.
416 00:42:03.030 ⇒ 00:42:05.500 Robert Tseng: Okay.
417 00:42:09.580 ⇒ 00:42:18.630 Robert Tseng: Yeah, well, this never got fully automated, so, like, this is, like, kind of the scorecard thing that I guess is valid, but not really something that we’re gonna turn in yet.
418 00:42:18.890 ⇒ 00:42:21.649 Robert Tseng: Alright, so that’s that. You want me to go to the next one?
419 00:42:22.460 ⇒ 00:42:23.110 Uttam Kumaran: Yes.
420 00:42:23.710 ⇒ 00:42:24.380 Robert Tseng: Okay.
421 00:42:24.850 ⇒ 00:42:26.310 Robert Tseng: So…
422 00:42:27.510 ⇒ 00:42:33.129 Uttam Kumaran: Well, I guess, if… actually, can we go through, like, so for the ones that are in backlog.
423 00:42:33.350 ⇒ 00:42:34.320 Uttam Kumaran: Yeah.
424 00:42:35.740 ⇒ 00:42:40.300 Uttam Kumaran: If it… do any of these have to happen in the next, like, next week?
425 00:42:40.600 ⇒ 00:42:41.210 Robert Tseng: No.
426 00:42:41.450 ⇒ 00:42:47.179 Uttam Kumaran: Okay, and then… for each of these, do you feel like there’s enough…
427 00:42:48.850 ⇒ 00:42:55.880 Uttam Kumaran: like, at least can we put in what the, like, output is? Are these… these are all gonna be just, like, all analysis, basically?
428 00:42:57.890 ⇒ 00:43:04.650 Robert Tseng: Yeah, well, I mean, this one would probably be some sort of report Like…
429 00:43:04.980 ⇒ 00:43:11.549 Robert Tseng: Yeah, which I… because they haven’t selected the BI tool, we’re not… we haven’t developed on a BI tool that they’re using in their platform.
430 00:43:11.770 ⇒ 00:43:21.869 Robert Tseng: I mean, for now, it could just be… like, I think step one is just an analysis. Everything is just, like, either a deck, a chart, or whatever, some readout.
431 00:43:22.260 ⇒ 00:43:25.370 Robert Tseng: And then it’s like, if they want it recurring, then we can…
432 00:43:25.660 ⇒ 00:43:27.700 Robert Tseng: Talk about how to bring it in.
433 00:43:28.460 ⇒ 00:43:33.400 Uttam Kumaran: So, like, for example, if I was to… if we were to take on the, like, Crumble one, and we were to give.
434 00:43:33.400 ⇒ 00:43:34.020 Robert Tseng: Yeah.
435 00:43:34.020 ⇒ 00:43:44.689 Uttam Kumaran: give it to, like, Casey or Mustaf on the team. Basically, the criteria would be first come up with the outline, get it approved by you, and then execute the analysis.
436 00:43:45.590 ⇒ 00:43:46.250 Robert Tseng: Yeah.
437 00:43:46.460 ⇒ 00:43:50.050 Robert Tseng: So, like, to me, when I look at that, like, I would be looking at…
438 00:43:50.210 ⇒ 00:43:55.100 Robert Tseng: we would have to basically be monitoring crumbles, like.
439 00:43:55.480 ⇒ 00:44:10.989 Robert Tseng: online menu, like, know how many SKUs that they have. Like, obviously, we’re not going to track their sales, but we can know how many active SKUs, what their pricing is, and it should be kind of categorized similarly to what we do internally, so that we can actually do an apples-to-apples comparison.
440 00:44:10.990 ⇒ 00:44:21.040 Robert Tseng: So, let’s say, like, hey, 20% of their portfolio is, like, chocolate chip cookies, and ours, different variations of that, and ours is only 10%.
441 00:44:21.150 ⇒ 00:44:29.560 Robert Tseng: And this is, like, a spike that they’ve been leaning into. Maybe we need to be, you know, adding more chocolate chip variations to our,
442 00:44:29.910 ⇒ 00:44:32.329 Robert Tseng: our, like, menu. Like, that’s kind of, like.
443 00:44:32.800 ⇒ 00:44:42.909 Robert Tseng: the type of insight that I would want to draw from that. And then you can also be monitoring something as simple as, like, Google search trends, to… and kind of, like.
444 00:44:45.060 ⇒ 00:44:51.199 Robert Tseng: on… on certain keywords that, like, Crumble is kind of related to. So, I don’t know, like, I… I,
445 00:44:51.840 ⇒ 00:44:57.589 Robert Tseng: Yeah, I think there’s… I actually have, like, an outline for this, because I had to do something
446 00:44:57.780 ⇒ 00:45:15.779 Robert Tseng: very similar, where I was, like, trying to predict design trends when I was at Ruggable, so rather than, like, it being, like, designed, it’d be, like, cookie flavors or whatever. You’re basically trying to figure out, like, what’s… what kind of cookie is going to be hot, and, like, whether or not your competitors are catching wind of it. So this is actually a really long
447 00:45:15.780 ⇒ 00:45:19.080 Robert Tseng: project, but, like, it’s, yeah, so.
448 00:45:19.620 ⇒ 00:45:35.329 Uttam Kumaran: Okay, so basically it would be, like, yeah, so the first thing would be just outline, like, how we could even do this analysis, and then we’d break it down again. Yes. Okay. So do you… like, I generally am getting the sense of, like, any… kind of for these analysis things, I think you… basically, one is, like, the team should work on, like.
449 00:45:35.850 ⇒ 00:45:48.110 Uttam Kumaran: what are the questions that we think the client cares about? What can, like, what is possible given the data that we have today? What other data would we need to bring in? And then…
450 00:45:48.690 ⇒ 00:45:56.149 Uttam Kumaran: like… what is the form factor of the output? That is one ticket, which is basically, like, deliver you
451 00:45:56.360 ⇒ 00:46:05.629 Uttam Kumaran: like a… just a write-up on, like, what it is. You go in, you edit that, and then basically from there, it’s like, okay, go execute against this analysis with the due date.
452 00:46:06.360 ⇒ 00:46:23.400 Robert Tseng: Yeah, I mean, that would be ideal. Like, personally, I don’t really know if I think the team could do that, like, that’s why I feel like I can source all the questions, and I’d rather pass things off like, hey, I know this data exists in Braze, like, we just need to find a way to get orders and campaign data to connect.
453 00:46:23.400 ⇒ 00:46:33.770 Uttam Kumaran: So that’s where, post-outline, we can… anyone can take it, but I guess what I… what meaning, if you’re… if you come up with the idea of, like, okay, we need to do crumble competitive analysis.
454 00:46:33.900 ⇒ 00:46:48.020 Uttam Kumaran: So, my ask for, like, Mustafa is gonna be, your job is to do those things, like, go think about, like, the questions a client might be interested in, look at the data we already have, look at data we could get, think about, like, the form factor of an output.
455 00:46:48.290 ⇒ 00:47:00.849 Uttam Kumaran: write that up, spend an hour or two hours, write that up, and then get it approved by you. Once that plan is approved, it gives you something to go present, but also then we ticket that out. And, like, I think that’s…
456 00:47:01.510 ⇒ 00:47:05.130 Uttam Kumaran: I’m starting to see, like, that’s probably the best way for analysts
457 00:47:05.890 ⇒ 00:47:19.590 Uttam Kumaran: like, to kind of take on new stuff, is, like, outline what you’re gonna do first, and then execute. So for any of these tickets, like, it’ll all start as, like, generate the outline, or kind of, like, it’s like an analysis spike of, like, what we would do, and then…
458 00:47:19.590 ⇒ 00:47:20.040 Robert Tseng: Totally.
459 00:47:20.040 ⇒ 00:47:35.720 Uttam Kumaran: Okay, cool. The ideation, I agree with you. I think it’s still on you for now, but that’s fine. Okay, great, cool. So, one thing, Rico, is I want to create issue templates for, like, this stuff, so we can talk about this as well, but maybe, Rico, something we can work on later this week.
460 00:47:36.240 ⇒ 00:47:39.110 Uttam Kumaran: Okay, cool. So, Crumble… so…
461 00:47:40.070 ⇒ 00:47:44.630 Uttam Kumaran: I would say if none of these are gonna be a priority for next week.
462 00:47:44.740 ⇒ 00:47:46.689 Uttam Kumaran: then I’m fine to kind of…
463 00:47:47.230 ⇒ 00:47:55.080 Uttam Kumaran: leave it here, and then I’m going to… I’ll make sure that they are marked as outline tickets, and it’s clear, like, what steps need to get taken, and then…
464 00:47:55.210 ⇒ 00:47:58.010 Uttam Kumaran: You can tell me when we want to take that on, so…
465 00:47:58.220 ⇒ 00:48:13.150 Robert Tseng: Yeah, like, none of this is urgent, like, I don’t really know where they pulled this from. Like, I wonder if they just looked through some of my old notes in the documents, and they just started creating tickets, but… Yeah. Yeah, like, I… I feel like anything that’s urgent, I’ve already kind of, like, queued up here, yeah.
466 00:48:13.680 ⇒ 00:48:16.740 Uttam Kumaran: Okay, so let’s talk about stuff and ready for development, then.
467 00:48:16.960 ⇒ 00:48:24.630 Uttam Kumaran: And let’s decide, like, if this has everything we need, or if we need to… update anything.
468 00:48:25.580 ⇒ 00:48:37.090 Robert Tseng: Yeah, so, like, there’s a few things that are not, like, I need to make adjustments for, so… I guess, like, I can just be transparent about this. Like, there was some feedback that I got from…
469 00:48:39.160 ⇒ 00:48:42.700 Robert Tseng: Sweat? Almost submission a better track.
470 00:48:47.880 ⇒ 00:48:51.309 Robert Tseng: Oh, okay, sure, yeah, I don’t mind. They wanted just their own triage process.
471 00:48:51.560 ⇒ 00:48:51.970 Uttam Kumaran: Yeah.
472 00:48:51.970 ⇒ 00:49:08.169 Robert Tseng: So basically, yeah, like, we put out the deck, and yeah, sure, like, the ability to answer the why is still limited, because we don’t have segments, so I’m telling her, like, well, these are all the segments that we’re working on getting, because, like, I need these in order to do the driver, and now to do a full
473 00:49:08.230 ⇒ 00:49:22.909 Robert Tseng: end-to-end driver analysis. So, like, yeah, like, I think these are really, like, what I would want to be seeing in tickets. Like, I think these are, like, the things that we’re trying to acquire, like, get… get from the next… I mean, we’re not… I’m not saying we’re gonna get all four of these in the next week, but…
474 00:49:23.010 ⇒ 00:49:39.049 Robert Tseng: Like, campaign-type segments, that’s on me, like, I already have gotten some more direction. I’ve, like, categorized, like, half of their campaigns, and I think with another one or two more revisions with… with, their team, I should get it up to, like, 80-90%, and that’s good enough.
475 00:49:39.400 ⇒ 00:49:59.389 Robert Tseng: the RFM segmentation, that’s, like, on… that’s on me, too, because I have to go into holistics, and I have to dissect, like, why does RFM not work? And so, to create… to create my own segments. What I had the team focus on was on product level drill downs, being able to blend order level, kind of product-level stuff with campaigns, and also
476 00:49:59.690 ⇒ 00:50:00.580 Robert Tseng: Like…
477 00:50:00.900 ⇒ 00:50:09.409 Robert Tseng: I guess, well, this is… this is not on us, this is, like, I’ve been asking the Braves rep to give us… give us some benchmark data. So, I think once I have, you know.
478 00:50:09.500 ⇒ 00:50:22.110 Robert Tseng: any of these, like, I will be able to better answer this why question. But yeah, this is just an extension of the… of the work that we’ve already been doing on the out… of the outlines for, like, this…
479 00:50:22.460 ⇒ 00:50:38.540 Robert Tseng: Yeah, for, like, the why is… why is email conversion down year over year? Like, we answered, like, the… the level… the first degree kind of, like, question, and then there’s, like, yeah, we’re just having to keep going deeper. So, like, that’s kind of how I… how I see this.
480 00:50:39.250 ⇒ 00:50:40.479 Uttam Kumaran: Okay, okay.
481 00:50:43.250 ⇒ 00:50:49.650 Uttam Kumaran: And then, yeah, so this analysis outline stock… Let me get that up.
482 00:51:13.740 ⇒ 00:51:14.540 Uttam Kumaran: Okay.
483 00:51:15.710 ⇒ 00:51:21.360 Uttam Kumaran: Okay, fair. So a lot hinges on us getting the segment data,
484 00:51:21.490 ⇒ 00:51:32.239 Uttam Kumaran: I guess, right now, Casey is mainly gonna work on the daily impact scorecard, so me and him can work on, like, what we think is, like, a proposal for a new architecture.
485 00:51:32.450 ⇒ 00:51:34.809 Uttam Kumaran: And, like, so we can start talking about that.
486 00:51:34.940 ⇒ 00:51:39.249 Uttam Kumaran: So that’s on, like, me and him to collaborate on.
487 00:51:39.490 ⇒ 00:51:44.229 Uttam Kumaran: I sent you a little blurb on, like, what to send to the data guy.
488 00:51:44.450 ⇒ 00:51:52.309 Uttam Kumaran: as a follow-up, so you can send that. I feel like Mustafa probably has time until then to take on…
489 00:51:52.570 ⇒ 00:51:54.420 Uttam Kumaran: like… Something.
490 00:51:55.430 ⇒ 00:51:57.510 Uttam Kumaran: On the analysis side, so…
491 00:52:00.690 ⇒ 00:52:04.540 Robert Tseng: Okay, so, like, beyond the segments.
492 00:52:05.600 ⇒ 00:52:09.439 Uttam Kumaran: Yeah, because until we… well, yeah, like, I guess he’s… he is working on getting…
493 00:52:10.370 ⇒ 00:52:14.359 Uttam Kumaran: that segment data into… into Mother Duck, but that’s not gonna take a lot of time.
494 00:52:15.010 ⇒ 00:52:15.890 Robert Tseng: Okay.
495 00:52:18.120 ⇒ 00:52:20.019 Robert Tseng: Yeah,
496 00:52:25.390 ⇒ 00:52:30.499 Robert Tseng: Well, yeah, I mean, I guess I could add a couple things for him,
497 00:52:33.780 ⇒ 00:52:40.439 Robert Tseng: like… Yeah, I could… I could pick… like, I’ve never… all of these…
498 00:52:41.280 ⇒ 00:52:57.319 Robert Tseng: all of these questions, I only answered partially, so it’s like, I would just pick one of these questions that I needed to see more. For example, like this one, relationship between revenue and engagement, I only focus on email conversions, and then in my deck, there’s, like, a…
499 00:52:58.170 ⇒ 00:53:02.030 Robert Tseng: Is this the right one?
500 00:53:10.090 ⇒ 00:53:14.520 Uttam Kumaran: Can you send me that analysis outlines file? I don’t see it in the Notion.
501 00:53:15.510 ⇒ 00:53:19.270 Robert Tseng: It’s… Ouch.
502 00:53:30.230 ⇒ 00:53:31.030 Uttam Kumaran: Thanks.
503 00:53:31.460 ⇒ 00:53:32.050 Robert Tseng: Yeah.
504 00:53:37.010 ⇒ 00:53:39.250 Uttam Kumaran: And can I get, edit access?
505 00:53:40.150 ⇒ 00:53:41.403 Robert Tseng: Nope.
506 00:53:57.610 ⇒ 00:54:00.489 Robert Tseng: like… So, assuming, like.
507 00:54:03.580 ⇒ 00:54:08.359 Robert Tseng: once we… so there’s, like, some continuation here. It’s like, once we get the…
508 00:54:09.370 ⇒ 00:54:25.910 Robert Tseng: the benchmark data from Braze, it won’t just be this, like, one flat line. Like, I would want to update this chart with, like, the monthly data that they get, and then we could do a correlation. Like, this is, like, one thing where I could have that off to Mustafa. It’s pretty much the same slides, probably similar takeaway, he would just have to change the
509 00:54:26.220 ⇒ 00:54:30.729 Robert Tseng: Kind of rerun the analysis, this part of the analysis to update the image.
510 00:54:31.460 ⇒ 00:54:38.360 Robert Tseng: And then, yeah, for here, we looked at email revenue versus said volume, but, like, there’s other types of, like, revenue and
511 00:54:39.090 ⇒ 00:54:52.739 Robert Tseng: like, marketing action relationships that we can look at. I did a very light one here, where I was basically just showing there are a bunch of other variables that are better at kind of explaining revenue than… than, increasing, like.
512 00:54:52.880 ⇒ 00:54:56.679 Robert Tseng: Email send volume, so you could just…
513 00:54:56.840 ⇒ 00:55:07.060 Robert Tseng: You know, it’s using the same… Data set… Insomnia, aye, aye.
514 00:55:08.300 ⇒ 00:55:14.550 Robert Tseng: Braze.
515 00:55:21.460 ⇒ 00:55:26.669 Uttam Kumaran: So in this sense, the question is, what other variables can be used to predict revenue apart from email? Then?
516 00:55:26.670 ⇒ 00:55:27.280 Robert Tseng: Yeah.
517 00:55:29.680 ⇒ 00:55:42.930 Robert Tseng: Yeah, I mean, and it’s, like, it’s not gonna be just one. Like, I know what the one is, like, I can name 15 things that are better than email, this from this, but it’s like, okay, well, then, like, the next step is, like, okay, well, what combination…
518 00:55:43.170 ⇒ 00:55:45.709 Robert Tseng: has, like… is, like, the highest predictor? Is it…
519 00:55:46.250 ⇒ 00:55:54.159 Robert Tseng: Do they… do they open the email within the first 3 hours, and then they, like,
520 00:55:55.040 ⇒ 00:56:07.930 Robert Tseng: I don’t know, like, does that… if they open it within the first 3 hours, like, there’s, like, the open rate itself, but then there’s a time component to it. Like, do those two things together, like, have, like, a…
521 00:56:08.110 ⇒ 00:56:13.190 Robert Tseng: Have a stronger, correlation with, with revenue.
522 00:56:13.300 ⇒ 00:56:24.959 Robert Tseng: Like, that’s kind of the… those are the types of questions that I want to ask, or, like, those are the types of takeaways I’m trying to look for. Like, I wasn’t able to, like, sift through it long enough to figure that out. Okay.
523 00:56:25.480 ⇒ 00:56:26.260 Robert Tseng: Yeah.
524 00:56:31.770 ⇒ 00:56:46.880 Robert Tseng: And so there is, like, this spreadsheet that, for some reason, is not able to be open. It’s just the same… I keep going back to this spreadsheet, because we don’t have the data warehouse or whatever, but it’s just two sheets. One is, like, campaign data, weekly and daily campaign data.
525 00:56:46.900 ⇒ 00:56:56.160 Robert Tseng: There’s, I guess, 3 sheets, a daily and a weekly, and then there’s, like, the users, kind of, like, users table, which I only have 500,000 users for. So…
526 00:56:56.270 ⇒ 00:57:14.930 Robert Tseng: I kind of made everything with just those three sheets. So, like, I… I think he would just probably start from the same thing. The notebooks for my analysis are all uploaded into the tickets, so if you wanted to kind of, like, read kind of how… where I left off, like, that’s… that’s how… how he would be able to pick up. But yeah.
527 00:57:15.800 ⇒ 00:57:18.660 Uttam Kumaran: Okay, great. So, we have those two, which is…
528 00:57:19.150 ⇒ 00:57:21.089 Uttam Kumaran: Can you go back to slide 3?
529 00:57:21.510 ⇒ 00:57:22.330 Robert Tseng: Yeah.
530 00:57:30.000 ⇒ 00:57:33.780 Uttam Kumaran: Okay, so the goal for… I guess it seems like we probably…
531 00:57:34.180 ⇒ 00:57:37.850 Uttam Kumaran: You can only do the stuff for Slide 8 right now, right?
532 00:57:37.850 ⇒ 00:57:46.349 Robert Tseng: Yeah, I don’t believe that… I got the message back from the vendors, yeah.
533 00:57:46.580 ⇒ 00:57:47.340 Robert Tseng: Okay.
534 00:57:47.340 ⇒ 00:57:47.930 Uttam Kumaran: Okay.
535 00:57:48.180 ⇒ 00:58:00.889 Uttam Kumaran: Okay, cool, then I think, Mustafa, that’s probably a good one to try to poke at this week. So, again, I think ideally, we kind of, like, want to do kind of like what you usually do, Mustafa, which is just, like, send an outline of, like, what you think you’re gonna do.
536 00:58:01.610 ⇒ 00:58:05.360 Uttam Kumaran: Robert can kind of give you the thumbs, and then you can go for it.
537 00:58:05.620 ⇒ 00:58:12.710 Uttam Kumaran: I would say, like,
538 00:58:13.900 ⇒ 00:58:29.269 Uttam Kumaran: Yeah, I think we’ll start there, without me having to put guardrails on anything else, is… is just for you to produce, like, Mustafa, like, a write-up or images of, like, what you… what the drivers could be, and then Robert can form the story and get it into the deck.
539 00:58:29.510 ⇒ 00:58:30.220 Mustafa Raja: Yep.
540 00:58:32.310 ⇒ 00:58:39.010 Uttam Kumaran: And so, yeah, whenever that’s ready, and then if it’s ready this week, we can talk about it and stand up, one of the next two days.
541 00:58:41.900 ⇒ 00:58:47.150 Uttam Kumaran: Okay, cool, so… I feel pretty good about this week, I think…
542 00:58:47.350 ⇒ 00:58:52.890 Uttam Kumaran: Robert, just put pressure on that data guy that owes us that stuff. Like.
543 00:58:52.890 ⇒ 00:58:53.410 Robert Tseng: No.
544 00:58:53.410 ⇒ 00:58:54.399 Uttam Kumaran: So, just like…
545 00:58:55.490 ⇒ 00:59:02.270 Uttam Kumaran: Yeah, whatever we need. It seems like we… he… he knows what we need, so… And then for Ellie, we didn’t get to Ellie today.
546 00:59:02.460 ⇒ 00:59:06.010 Uttam Kumaran: I sent the coming updates.
547 00:59:06.330 ⇒ 00:59:09.850 Robert Tseng: whatever Zora’s up to… I know you guys talked to Allison yesterday, so I was.
548 00:59:09.850 ⇒ 00:59:12.980 Uttam Kumaran: I sent the update in that channel with, like, what we talked about.
549 00:59:13.320 ⇒ 00:59:14.110 Robert Tseng: Okay.
550 00:59:14.360 ⇒ 00:59:16.599 Robert Tseng: So you can check that out. I can read it, I can read it.
551 00:59:16.890 ⇒ 00:59:17.990 Uttam Kumaran: Okay, okay, cool.
552 00:59:19.640 ⇒ 00:59:23.579 Uttam Kumaran: Okay, alright, great, so I think we’ve made good progress. This… the… this…
553 00:59:23.720 ⇒ 00:59:33.559 Uttam Kumaran: this, linear board for Insomnia isn’t too bad. I think a couple changes we need to make, Rico, is I want to create issue templates for, like, analysis outline and analysis
554 00:59:33.730 ⇒ 00:59:35.410 Uttam Kumaran: Like, do the analysis.
555 00:59:35.540 ⇒ 00:59:39.750 Uttam Kumaran: We’re gonna fix all the labels on Friday,
556 00:59:40.390 ⇒ 00:59:48.169 Uttam Kumaran: And this should get… this should get smoother. So, like, as you have new ticket ideas, either drop it in the channel or drop it,
557 00:59:49.050 ⇒ 00:59:56.789 Uttam Kumaran: directly here in linear. But I will also go… I’m also gonna… I’ll go through your docs when I get a chance and start to build a deeper backlog.
558 00:59:57.560 ⇒ 00:59:58.760 Robert Tseng: Okay, cool.
559 00:59:58.760 ⇒ 00:59:59.540 Uttam Kumaran: Okay, cool.
560 00:59:59.540 ⇒ 01:00:00.679 Robert Tseng: Thanks, everyone.
561 01:00:00.680 ⇒ 01:00:02.210 Uttam Kumaran: Thank you, guys. Bye.
562 01:00:02.500 ⇒ 01:00:03.330 Henry Zhao: Hi, everyone.
563 01:00:03.670 ⇒ 01:00:04.030 Mustafa Raja: Thank you.