Meeting Title: Ellie Project Setup | Product Analytics Playbook Sync Date: 2025-08-29 Meeting participants: Shreya Chowdhury, Amber Lin
WEBVTT
1 00:00:32.500 ⇒ 00:00:33.720 Amber Lin: Hello!
2 00:00:34.010 ⇒ 00:00:35.749 Shreya Chowdhury: Hi, Amber, how’s it going?
3 00:00:35.900 ⇒ 00:00:39.520 Amber Lin: Pretty good. Sorry I booked a meeting earlier. I was like, where’s your… what….
4 00:00:39.520 ⇒ 00:00:42.919 Shreya Chowdhury: Oh, no worries, it was just a little before my time zone.
5 00:00:43.580 ⇒ 00:00:45.220 Amber Lin: What time zone are you in?
6 00:00:45.220 ⇒ 00:01:02.340 Shreya Chowdhury: I’m PST, so I’m… I’m usually… I try to be, … if I know ahead of time, like, I try to be up by, like, 8.30, but usually I like to start at 9. I see. Going forward, I can start a little earlier if needed, I don’t have a problem with it.
7 00:01:02.340 ⇒ 00:01:16.770 Amber Lin: I don’t… I don’t… it’s fine for me. I usually… because I start on 7.30, just because my team is in Asia sometimes, but, like, I’m fine, because most of my meetings are early in the day, so it shouldn’t be a problem.
8 00:01:16.770 ⇒ 00:01:22.639 Shreya Chowdhury: Okay, yeah. I just, I just set my working hours, like, on my calendar from 9 to 5, but yeah.
9 00:01:22.640 ⇒ 00:01:34.700 Amber Lin: Yeah, that’s totally fine. I have two things. So, I know you’re working on Ellie and then some internal stuff. Would like to check with you on…
10 00:01:35.740 ⇒ 00:01:51.619 Amber Lin: what tickets should be in LA, and then put estimates on them so we can track time better. And then the second part, I’ll just check with you on, the internal stuff, what Robert and Utam wants, and then how… what the timeline can look like on that end.
11 00:01:51.890 ⇒ 00:01:53.240 Shreya Chowdhury: Yeah, sounds good.
12 00:01:53.240 ⇒ 00:02:06.179 Amber Lin: Okay, I will share screen. I think I shared… so these two docs are here, so in the LE channel. Yeah. I’m just gonna pull this first one up.
13 00:02:06.380 ⇒ 00:02:19.870 Amber Lin: Can you read through and tell me if the milestones make sense? Is this what we’re trying to do? Because I only have access to our Notion docs and our transcripts, and I don’t really fully know what we’re doing here.
14 00:02:20.040 ⇒ 00:02:22.570 Shreya Chowdhury: Yeah, so…
15 00:02:23.570 ⇒ 00:02:34.779 Shreya Chowdhury: Let me see… … I also… this week, I had my first check-in with them, and I had my first check-in with Robert, too, so… I’m…
16 00:02:35.880 ⇒ 00:02:40.839 Shreya Chowdhury: I don’t know if I’m gonna be able to speak to, …
17 00:02:43.340 ⇒ 00:02:47.950 Shreya Chowdhury: Yeah, like, some of the ad platform, the… So…
18 00:02:50.720 ⇒ 00:02:57.079 Shreya Chowdhury: In terms of clients’ main workflows, tools, and problems, …
19 00:02:58.030 ⇒ 00:03:07.909 Shreya Chowdhury: I think this is gonna be… Zoron stuff? Let me see if… bleeding.
20 00:03:08.910 ⇒ 00:03:13.799 Shreya Chowdhury: Yeah, that would be something to check with him, … and let me see….
21 00:03:16.420 ⇒ 00:03:21.600 Amber Lin: Is this the correct business case? Are we building a data pipeline for them, or…?
22 00:03:21.600 ⇒ 00:03:37.059 Shreya Chowdhury: Yeah, so that’s… that’s… I was gonna confirm with Robert, today. So, like, I worked, on the data tracking plan. It needs a couple of adjustments that I have to go back and forth with the client, because there’s some events that they…
23 00:03:37.090 ⇒ 00:03:47.090 Shreya Chowdhury: don’t track and may not be able to, so I’m gonna work on getting that polished up, but I think after I complete the data tracking plan,
24 00:03:47.320 ⇒ 00:03:57.420 Shreya Chowdhury: I think we have to speak with them on whether they’re… like, I’m not sure who’s going to be implementing it, if it’s us to implement the end-to-end data pipeline.
25 00:03:57.420 ⇒ 00:04:05.809 Amber Lin: I think they will be implementing, because they have their own engineers. Let me actually note that down, so…
26 00:04:06.140 ⇒ 00:04:14.220 Amber Lin: … and then… And off to Ellie.
27 00:04:14.360 ⇒ 00:04:16.120 Amber Lin: H2 one.
28 00:04:16.950 ⇒ 00:04:19.180 Amber Lin: I’ll also note that down here.
29 00:04:19.790 ⇒ 00:04:25.660 Amber Lin: Show me… scope… implementation.
30 00:04:28.740 ⇒ 00:04:30.469 Amber Lin: Okay, sounds great.
31 00:04:31.440 ⇒ 00:04:31.890 Shreya Chowdhury: Yeah.
32 00:04:33.220 ⇒ 00:04:39.460 Amber Lin: So… Are we done here? Like, I know we wanted to connect.
33 00:04:39.740 ⇒ 00:04:42.379 Amber Lin: But I don’t know where we’re at yet.
34 00:04:42.380 ⇒ 00:04:45.650 Shreya Chowdhury: Yeah, so, truthfully, I don’t know where we’re at with
35 00:04:45.660 ⇒ 00:04:53.539 Shreya Chowdhury: any of this stuff either. We didn’t chat about any of this, and I truthfully don’t have context.
36 00:04:53.540 ⇒ 00:05:06.700 Shreya Chowdhury: maybe we can… I’ll drop this in the thread and maybe tag, Zoran and Robert about this specific part and see, like, if they have anything to say, because I can, yeah, I can only speak to the….
37 00:05:06.700 ⇒ 00:05:07.550 Amber Lin: Milestone 2?
38 00:05:07.550 ⇒ 00:05:12.079 Shreya Chowdhury: data tracking stuff, I think all of these tickets, …
39 00:05:12.570 ⇒ 00:05:17.880 Shreya Chowdhury: are probably… Zoran has more context here to be able to confirm how many boxes would take.
40 00:05:17.880 ⇒ 00:05:24.790 Amber Lin: Okay, I see. Yeah. So, does Roran cover any of the tracking tickets, or he doesn’t take care of that, right?
41 00:05:24.790 ⇒ 00:05:33.050 Shreya Chowdhury: I think he’s covering, like, … the conversion tracking and analytics and the ad platform activation stuff.
42 00:05:33.050 ⇒ 00:05:34.440 Amber Lin: Hmm, okay.
43 00:05:34.860 ⇒ 00:05:35.950 Amber Lin: ….
44 00:05:35.950 ⇒ 00:05:39.430 Shreya Chowdhury: And, as far as….
45 00:05:39.430 ⇒ 00:05:46.839 Amber Lin: Zoran… that will also… also be drawn.
46 00:05:47.200 ⇒ 00:05:50.970 Amber Lin: Are you doing any of the customer profile enrichment stuff?
47 00:05:50.970 ⇒ 00:05:55.539 Shreya Chowdhury: No, I… at least not that I know of yet.
48 00:05:55.540 ⇒ 00:05:56.140 Amber Lin: Okay.
49 00:05:56.140 ⇒ 00:06:08.640 Shreya Chowdhury: So, anything related to, like, setting up amplitude and all of that, … yeah, like, I see my name on here, but I haven’t… I would have to speak to Robert and see, …
50 00:06:10.780 ⇒ 00:06:13.180 Shreya Chowdhury: I don’t think that’s me.
51 00:06:13.940 ⇒ 00:06:16.650 Amber Lin: Mmm, so you’re only doing this one?
52 00:06:16.650 ⇒ 00:06:22.249 Shreya Chowdhury: Or which other… I just want to note down… So far, so far, just draft the data tracking plan document.
53 00:06:22.800 ⇒ 00:06:26.879 Shreya Chowdhury: But yeah, that’s still a work in progress, going back and forth with the client, yeah.
54 00:06:26.880 ⇒ 00:06:27.440 Amber Lin: Okay.
55 00:06:32.930 ⇒ 00:06:33.660 Amber Lin: Huh.
56 00:06:34.910 ⇒ 00:06:37.210 Amber Lin: Interesting. My Notion doesn’t…
57 00:06:40.760 ⇒ 00:06:41.910 Amber Lin: Oh, there we go.
58 00:06:41.910 ⇒ 00:06:42.230 Shreya Chowdhury: Ugh.
59 00:06:44.820 ⇒ 00:06:47.499 Amber Lin: Is 8 hours on it an accurate estimate?
60 00:06:48.020 ⇒ 00:06:54.020 Shreya Chowdhury: Yeah, so that one’s kind of like a play-by-ear thing. I spent around, like, I think…
61 00:06:54.170 ⇒ 00:06:57.690 Shreya Chowdhury: Like, close to that, or maybe, like, 6…
62 00:06:58.240 ⇒ 00:07:11.500 Shreya Chowdhury: Let me see… I think I’ve probably spent, like, close to 10 hours on it this week, but it’s probably gonna take a little bit more back and forth, so yeah, we can leave it at 8, and I’ll let you know if anything changes there.
63 00:07:11.500 ⇒ 00:07:12.460 Amber Lin: Hmm, okay.
64 00:07:13.000 ⇒ 00:07:19.880 Amber Lin: … Alright, so I probably would grab a time with Sauron.
65 00:07:20.610 ⇒ 00:07:24.020 Amber Lin: I don’t have his email.
66 00:07:40.180 ⇒ 00:07:43.310 Amber Lin: The only… oops.
67 00:07:58.900 ⇒ 00:08:00.679 Amber Lin: That’s good.
68 00:08:01.400 ⇒ 00:08:02.260 Amber Lin: You can’t.
69 00:08:06.810 ⇒ 00:08:10.849 Amber Lin: Okay. I mean, if you don’t have context to this, we can skip this for now.
70 00:08:10.850 ⇒ 00:08:11.410 Shreya Chowdhury: Yeah.
71 00:08:11.410 ⇒ 00:08:17.659 Amber Lin: And… gonna pull up on the… Internal side…
72 00:08:18.530 ⇒ 00:08:22.729 Amber Lin: Product analytics. So, I think…
73 00:08:23.440 ⇒ 00:08:30.309 Amber Lin: because you’re… you have 20 hours with that scheduled, and then 10 on Ellie and 10 on internal stuff.
74 00:08:30.310 ⇒ 00:08:30.850 Shreya Chowdhury: Yeah.
75 00:08:32.030 ⇒ 00:08:40.960 Amber Lin: So, the purpose of this is we want to have product analytics playbooks that we can use for future clients.
76 00:08:41.380 ⇒ 00:08:49.399 Amber Lin: And… we’ll first need to create a template for these playbooks. I think Robert has some existing stuff. …
77 00:08:49.900 ⇒ 00:08:50.820 Amber Lin: But…
78 00:08:50.960 ⇒ 00:09:06.809 Amber Lin: we’ll need to create the specific ones for product analytics that we want to use, and then we’re going to map out all the different product analytics, possible offerings, and what the different checkpoints are, and, like, I think you’ll know much more about that than I am, and then
79 00:09:06.820 ⇒ 00:09:12.789 Amber Lin: We’ll ask you to fill out template… playbooks for the areas that you feel like you are strong in.
80 00:09:14.050 ⇒ 00:09:26.689 Amber Lin: Yeah, so you don’t have to do the ones that you don’t feel confident in, but we do want to see the ones that you, you feel like you have a spike on. So let me… let me figure out where to put…
81 00:09:27.210 ⇒ 00:09:29.700 Amber Lin: this, so….
82 00:09:32.310 ⇒ 00:09:35.179 Shreya Chowdhury: Headquarters, homepage.
83 00:09:35.750 ⇒ 00:09:36.490 Amber Lin: Mmm…
84 00:09:39.960 ⇒ 00:09:42.940 Amber Lin: put it in data, I guess?
85 00:09:44.040 ⇒ 00:09:48.560 Amber Lin: Templates… Okay.
86 00:09:49.010 ⇒ 00:09:50.960 Amber Lin: Oh, wow, this is a lot.
87 00:09:51.660 ⇒ 00:09:52.770 Amber Lin: …
88 00:10:03.440 ⇒ 00:10:06.389 Amber Lin: Same for template.
89 00:10:10.940 ⇒ 00:10:12.080 Amber Lin: Open.
90 00:10:13.620 ⇒ 00:10:15.420 Amber Lin: I’m gonna copy…
91 00:10:27.770 ⇒ 00:10:34.010 Amber Lin: Ben… Let’s see if I have Robert’s A-B testing.
92 00:10:38.030 ⇒ 00:10:42.420 Amber Lin: … Home grabber.
93 00:10:47.850 ⇒ 00:10:48.620 Amber Lin: Hmm.
94 00:10:58.390 ⇒ 00:10:59.870 Amber Lin: Okay, there we go.
95 00:11:04.110 ⇒ 00:11:06.150 Amber Lin: Do you currently use AI?
96 00:11:07.050 ⇒ 00:11:07.899 Shreya Chowdhury: I do, yeah.
97 00:11:07.900 ⇒ 00:11:09.560 Amber Lin: Awesome. …
98 00:11:09.840 ⇒ 00:11:23.170 Amber Lin: from Robert. So I think this might be helpful. Robert’s templates are actually really good, so I don’t think you need to do too much work. He has some pre-experiment, like, why we’re doing it, and then, like.
99 00:11:23.520 ⇒ 00:11:25.869 Amber Lin: Design of that…
100 00:11:25.950 ⇒ 00:11:43.689 Amber Lin: part, and then live experiments, how we’re gonna do it, timelines, and then any access we probably need. So I think you can take this and build out… just build out an analytics playbook with ChatGBT, and then once you’re done, just tag us, probably tag Robert.
101 00:11:44.090 ⇒ 00:11:44.579 Amber Lin: Or if you….
102 00:11:44.580 ⇒ 00:11:46.509 Shreya Chowdhury: Are you sharing your screen or sending me a link?
103 00:11:46.510 ⇒ 00:11:48.750 Amber Lin: Oh, I’m so sorry, I thought I was sharing my screen.
104 00:11:48.750 ⇒ 00:11:49.619 Shreya Chowdhury: No worries.
105 00:11:49.620 ⇒ 00:11:57.089 Amber Lin: Sure. Robert’s, … this is Robert’s doc.
106 00:11:57.210 ⇒ 00:12:06.490 Amber Lin: I created this template so we can write it here. I shared that template link in… … Sorry.
107 00:12:08.500 ⇒ 00:12:14.360 Amber Lin: right here on… here, so we can write it here. And then Robert’s template…
108 00:12:14.650 ⇒ 00:12:17.039 Amber Lin: I pasted that in the doc.
109 00:12:17.250 ⇒ 00:12:21.139 Amber Lin: So… And I think this is pretty good.
110 00:12:21.930 ⇒ 00:12:27.659 Amber Lin: I’m tracking these tickets, I think, in…
111 00:12:28.650 ⇒ 00:12:32.569 Amber Lin: Data platform… let me see if I’ve added you.
112 00:12:33.290 ⇒ 00:12:38.860 Amber Lin: Numbers… Okay.
113 00:12:42.880 ⇒ 00:12:50.639 Amber Lin: So, I added a Playbooks project here. How long do you think this project, this template would take? Do you think it’ll take, like, around…
114 00:12:50.930 ⇒ 00:12:52.819 Amber Lin: 1-2 hours.
115 00:12:52.820 ⇒ 00:12:56.729 Shreya Chowdhury: I was gonna say 2 hours, probably max, and then, yeah.
116 00:12:57.030 ⇒ 00:13:07.339 Amber Lin: Okay, so I’ll assign, like, one point, because one… one point… each story point is just 2 hours, it’s just easier to calculate that way. To-do in cycle…
117 00:13:08.080 ⇒ 00:13:16.300 Amber Lin: Do you think this could be done today? Do you have time for that today? Yeah, I can finish it up today. I’ll say to…
118 00:13:17.200 ⇒ 00:13:29.930 Amber Lin: Y… Then… The due in cycle… This one probably is still… Blocked.
119 00:13:31.970 ⇒ 00:13:40.500 Amber Lin: And you can see all the tickets assigned to you in this… in this view. So even if they’re in different projects, you’ll be able to see them.
120 00:13:40.660 ⇒ 00:13:41.290 Shreya Chowdhury: Okay.
121 00:13:41.290 ⇒ 00:13:43.340 Amber Lin: I view my issues up here.
122 00:13:44.580 ⇒ 00:13:55.430 Amber Lin: … I think after that, we want to do a product analytics Mapping… …
123 00:13:56.350 ⇒ 00:14:03.559 Amber Lin: How do I do this? Let me just create… I’ll create a… Like, a product analytics page.
124 00:14:04.270 ⇒ 00:14:07.230 Amber Lin: Home page… marketing…
125 00:14:40.820 ⇒ 00:14:45.319 Amber Lin: So, create template, I’ll paste the requirements.
126 00:14:45.990 ⇒ 00:14:47.010 Amber Lin: Fair.
127 00:14:47.720 ⇒ 00:14:49.510 Amber Lin: … oh.
128 00:14:57.150 ⇒ 00:14:59.770 Amber Lin: We build out fake books.
129 00:15:06.690 ⇒ 00:15:09.139 Amber Lin: And then, after that…
130 00:15:10.300 ⇒ 00:15:23.820 Amber Lin: Map out product analytics… oh yes, do you have a sense of how we’re gonna do that? I mean, we can start… you can also just start with GPT, and the chat GPT will give you some places to start with.
131 00:15:25.590 ⇒ 00:15:26.960 Shreya Chowdhury: Yeah, …
132 00:15:27.520 ⇒ 00:15:35.279 Shreya Chowdhury: Let me… let me think about this one. For the overall product analytics roadmap, I think it might take a little bit more time, …
133 00:15:35.760 ⇒ 00:15:39.070 Shreya Chowdhury: Or at least, like, a little more planning, … Yeah.
134 00:15:39.960 ⇒ 00:15:43.599 Shreya Chowdhury: Let me think about that one. I think that one, maybe I’ll…
135 00:15:44.000 ⇒ 00:15:48.879 Shreya Chowdhury: like, I need to, yeah, think about it a little bit, and I can probably work on it more next week.
136 00:15:49.040 ⇒ 00:15:59.430 Amber Lin: Hmm, that’s what I thought as well. I think Robert also thinks that this one will take a bit more time. Do you think next week, Wednesday, would be a good time?
137 00:15:59.820 ⇒ 00:16:11.890 Shreya Chowdhury: Yeah, I think that would be a good time to check in. We can, yeah, like, set that stopwatch right now, and then if anything else comes up, like, more urgent with clients or whatever, then I’ll let you know.
138 00:16:11.890 ⇒ 00:16:13.119 Amber Lin: Heh, don’t speak.
139 00:16:13.120 ⇒ 00:16:25.939 Shreya Chowdhury: Because also, I think I’m already at, like, or close to 20 hours this week, so I want to make sure I use the remaining, like, however many hours I have to, do the… finish up the A-B testing doc and, like, work on…
140 00:16:26.550 ⇒ 00:16:28.939 Shreya Chowdhury: the roadmap for Ellie a little bit.
141 00:16:28.940 ⇒ 00:16:35.500 Amber Lin: I hear you. … Are you… where’s the roadmap for Ellie that you’re working on?
142 00:16:35.500 ⇒ 00:16:42.579 Shreya Chowdhury: Yeah, so it’s just a… it’s a spreadsheet, so I can share that in the… or drop it in the ticket, if you have….
143 00:16:42.580 ⇒ 00:16:43.640 Amber Lin: That would be awesome.
144 00:16:43.830 ⇒ 00:16:50.350 Amber Lin: Yeah, I think it’s… I dropped in some thread somewhere in Slack, but I don’t… Oh, I can search that….
145 00:16:50.350 ⇒ 00:16:52.959 Shreya Chowdhury: Yeah, but here, I can also just, …
146 00:16:53.070 ⇒ 00:17:00.860 Shreya Chowdhury: Give it to you, Ellie. So I have this, and then I’m also working on a Figma. I’ll just drop it in the chat here.
147 00:17:02.320 ⇒ 00:17:03.050 Shreya Chowdhury: ….
148 00:17:18.079 ⇒ 00:17:23.129 Amber Lin: Oh, okay. And then… Yeah, the FINQA will be really helpful.
149 00:17:23.130 ⇒ 00:17:25.029 Shreya Chowdhury: Yeah, let me just….
150 00:17:28.150 ⇒ 00:17:32.580 Amber Lin: purchase events… Most purchase….
151 00:17:34.260 ⇒ 00:17:35.780 Shreya Chowdhury: So, yeah, I’ve…
152 00:17:36.200 ⇒ 00:17:52.500 Shreya Chowdhury: I’m going to finish up the Figma probably closer to next week, just because when I had my check-in with Ellie, I think as we were walking through each of the events, there were certain things about the flow that they were saying it might need to be adjusted, …
153 00:17:52.500 ⇒ 00:18:00.540 Shreya Chowdhury: Because there’s a lot of… they said it looks mostly good, but there’s a lot of events that they don’t and can’t or won’t be able to track.
154 00:18:00.910 ⇒ 00:18:03.979 Shreya Chowdhury: Adjust the funnel a little bit, so…
155 00:18:04.590 ⇒ 00:18:18.999 Shreya Chowdhury: I, said, yeah, like, once they get back to me, or, like, once we figure out how exactly we want to do the funnel, then I’ll map out the chart, because I don’t want to map it out and then have them, like, prune it more, go back and forth again.
156 00:18:19.360 ⇒ 00:18:20.120 Shreya Chowdhury: So, yeah.
157 00:18:20.120 ⇒ 00:18:27.030 Amber Lin: I see, makes sense. Efforts, time… No problem, it’s not free.
158 00:18:27.350 ⇒ 00:18:34.139 Amber Lin: … Actually, probably need Robert there.
159 00:18:35.060 ⇒ 00:18:41.030 Amber Lin: I can squeeze in a time for the… …
160 00:18:58.160 ⇒ 00:18:59.230 Amber Lin: Preview.
161 00:18:59.550 ⇒ 00:19:01.939 Amber Lin: I’ll just put a placeholder there.
162 00:19:01.940 ⇒ 00:19:02.570 Shreya Chowdhury: Okay.
163 00:19:02.760 ⇒ 00:19:08.839 Amber Lin: … So that I book time off of Robert’s calendar, or else he’s gonna get booked.
164 00:19:17.410 ⇒ 00:19:25.269 Amber Lin: I believe that is all. Do you have any questions on, say, Ellie, or on the internal stuff?
165 00:19:25.270 ⇒ 00:19:28.610 Shreya Chowdhury: Nothing for right now. Thank you, though.
166 00:19:28.610 ⇒ 00:19:29.640 Amber Lin: Oh, okay.
167 00:19:29.640 ⇒ 00:19:31.870 Shreya Chowdhury: I’ll check with Zoran on the….
168 00:19:31.950 ⇒ 00:19:33.820 Amber Lin: On the LE stuff.
169 00:19:33.820 ⇒ 00:19:35.430 Shreya Chowdhury: Okay, cool, sounds good.
170 00:19:35.430 ⇒ 00:19:36.610 Amber Lin: Yeah, thanks.
171 00:19:37.350 ⇒ 00:19:38.270 Amber Lin: Bye!