Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-04-30 Meeting participants: Robert Tseng, Ryon, Demilade Agboola


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1 00:04:20.940 00:04:21.890 Demilade Agboola: Hi robots.

2 00:04:23.030 00:04:24.030 Robert Tseng: Hey, Demarade?

3 00:04:51.612 00:04:57.930 Robert Tseng: Okay? Well, before Ryan gets in here, I’m just gonna start to break this down.

4 00:05:00.920 00:05:07.495 Robert Tseng: So I mean, basically, we’re gonna be.

5 00:05:08.540 00:05:15.709 Robert Tseng: I guess this is in line to help you with the the pipeline for intake data. So how do you update this?

6 00:05:24.670 00:05:28.329 Robert Tseng: how do we break this down more. Let’s see.

7 00:05:30.980 00:05:34.770 Robert Tseng: Okay, I kind of wanted to scrap this. This is not helpful.

8 00:05:50.570 00:05:57.690 Robert Tseng: okay, so I think there’s a these can all just be milestones that would turn to

9 00:06:21.910 00:06:26.530 Robert Tseng: I don’t actually want to rip this. This is not this is not. This is not necessarily the architecture.

10 00:06:26.894 00:06:32.059 Robert Tseng: Yeah, I mean, I know we kind of I I want to just rewrite this initiative. So you know, if I were to

11 00:06:32.480 00:06:34.839 Robert Tseng: talk through this at a high level. And they just

12 00:06:41.480 00:06:43.660 Robert Tseng: great play it all transcribe things.

13 00:06:46.430 00:06:50.260 Robert Tseng: Okay, let’s just start with what we know right now and then we’ll work backwards from there.

14 00:06:51.120 00:06:59.129 Robert Tseng: So yeah, Embeddables, data is coming in through segments through the web flow connector. You were investigating the schema there.

15 00:06:59.390 00:07:02.600 Robert Tseng: And we were basically trying to.

16 00:07:03.670 00:07:09.730 Robert Tseng: Yeah, once, once you uncover that in the schema, we’re gonna pull that into into bigquery.

17 00:07:10.445 00:07:17.610 Robert Tseng: The schema for the model and bigquery that we can use should be similar to what we’ve had, what we’ve built out for for type form.

18 00:07:17.730 00:07:22.130 Robert Tseng: So I think you kind of need to do 2 things. One is like, look at the schema.

19 00:07:23.140 00:07:32.000 Robert Tseng: Well, yeah, look at, look at the structure of the data coming in from segment, right? And then also figure out what we need to do to get it into the same format that we have for type, form.

20 00:07:32.790 00:07:36.629 Robert Tseng: or something similar. I’m not saying it should be exactly the same.

21 00:07:37.610 00:07:48.839 Robert Tseng: but from the sample that Ryan had sent us before, it’s basically we need a you know, it’s just like question answer data. And like one additional.

22 00:07:49.080 00:07:58.863 Robert Tseng: a data point that like excludes certain products from the customer. I’m not even sure if I really care about bringing that in right now, because there’s other ways to

23 00:07:59.580 00:08:02.898 Robert Tseng: you know, to. We have other ways to show product,

24 00:08:04.010 00:08:08.179 Robert Tseng: to match users and products, or whatever so.

25 00:08:08.180 00:08:08.780 Demilade Agboola: Ironically.

26 00:08:10.420 00:08:15.540 Robert Tseng: That’s what I think. That’s that’s pretty much it. Then he has like some things here talking about like

27 00:08:15.720 00:08:23.919 Robert Tseng: whether it’s a mixed panel or Ga 4, like, I don’t. I don’t really think that’s a decision we have to make right now. We just we just have to get data into the data warehouse.

28 00:08:24.898 00:08:34.110 Robert Tseng: I think it’s gonna end up being a mixed panel. So what I’m what I’m doing now, which I’ll I’ll send over for review, probably.

29 00:08:34.390 00:08:38.330 Robert Tseng: you know, shortly after a stand up I was working on it this morning

30 00:08:38.679 00:08:45.999 Robert Tseng: is like how we’re gonna be like redoing the tracking a bit on the mix panel side.

31 00:08:46.520 00:08:51.070 Robert Tseng: So that we can actually have the funnel reporting that he’s looking for

32 00:08:52.590 00:08:56.199 Ryon: Real quick, Robert. Just so. You know I’m I’m here. If you were talking.

33 00:08:56.200 00:08:56.830 Robert Tseng: Oh, okay.

34 00:08:56.830 00:08:57.359 Ryon: Just so, you know.

35 00:09:02.710 00:09:23.858 Robert Tseng: yeah, so we don’t we? It’s we’re gonna it’s gonna be a bit of redundancy. First, st we’re gonna we’re gonna just use the the events that are already firing into the data layer and segment. And then in parallel, I’m also gonna reinstrumented in mix panel. And then we can have we can have both. We’ll decide what to do with switching which one off like afterwards.

36 00:09:24.680 00:09:26.080 Robert Tseng: but yeah.

37 00:09:26.450 00:09:34.739 Robert Tseng: I mean, after I’ll I’ll get all of the everything I’m saying right now. They’ve logged into this ticket. But I guess generally that’s

38 00:09:35.250 00:09:42.380 Robert Tseng: that’s how I want to re redo this this this. This project.

39 00:09:43.410 00:09:44.400 Demilade Agboola: Any.

40 00:09:44.520 00:09:46.540 Robert Tseng: Kind of questions on that.

41 00:09:47.670 00:09:55.240 Demilade Agboola: Not particularly, I think so. I will look at the I am looking at the segment data.

42 00:09:56.940 00:10:01.890 Demilade Agboola: Just a quick question, Ryan, have you triggered it to look at an intake recently.

43 00:10:02.050 00:10:07.190 Demilade Agboola: or is it? Are you just testing like the different clicks and stuff.

44 00:10:09.050 00:10:10.220 Ryon: Or have you checked.

45 00:10:10.220 00:10:11.550 Robert Tseng: Probably a Ryan question.

46 00:10:11.550 00:10:21.139 Ryon: Yeah, I’m not sure I understand the question, can you? So it’s in. It’s on the embeddables intake. There’s only one intake that has it. Currently, it’s not something that would be on bask. Yet hopefully.

47 00:10:23.980 00:10:24.690 Demilade Agboola: Okay.

48 00:10:24.900 00:10:25.350 Ryon: Yeah.

49 00:10:25.910 00:10:32.029 Demilade Agboola: A lot of what I’m seeing or the event I’m seeing tends to be like things clicked rather than like a full

50 00:10:33.028 00:10:38.249 Demilade Agboola: okay, I’m seeing a page completed. Oh, yeah. Oh, yeah, I’ve seen a page completed.

51 00:10:38.540 00:10:49.090 Ryon: Yeah. So there’s there’s 3 events. The 1st would fire is the identify event. The second is page completed. That would fire for every screen, and would give information like the question being asked.

52 00:10:49.200 00:10:54.340 Ryon: the answer given the numbers screen, and

53 00:10:55.990 00:10:58.149 Ryon: it was the fact that it was completed.

54 00:10:58.260 00:11:05.960 Ryon: and then the last one is on the product selection page validates to us what products

55 00:11:06.270 00:11:13.309 Ryon: the patient is still eligible for or qualifies, for if they were to drop off at that point.

56 00:11:13.570 00:11:22.239 Ryon: right? So that Bobby can get the data that email needs to remarket to people if they drop off basically.

57 00:11:23.440 00:11:24.210 Demilade Agboola: Oh, okay.

58 00:11:25.270 00:11:30.319 Demilade Agboola: yeah, because there are a bunch of. So it’s not just exclusive. So it appears the like web flow.

59 00:11:30.929 00:11:35.850 Demilade Agboola: Schema, and events track. It’s tracking. It’s not just exclusive to what we’re working on right now.

60 00:11:35.960 00:11:43.610 Demilade Agboola: It’s like a bunch of events like 45 different events. So I’m trying to like. Just narrow it down, to be sure that you know, the events I’m looking at

61 00:11:43.910 00:11:47.600 Demilade Agboola: are exactly the events that you know we’re we’re working with.

62 00:11:47.720 00:11:56.409 Demilade Agboola: So I’ll get. I’ll draw some of the data, and I’ll send it to you, and I’ll just if it makes any sense to you. I think you should. Some of them seem to tally to what what you’re trying to say.

63 00:11:56.530 00:11:58.899 Demilade Agboola: But yeah, I’ll do that today.

64 00:12:02.945 00:12:11.339 Demilade Agboola: But yeah, I I don’t have any questions about the general scope. I just like, when are we looking to implement the G 4?

65 00:12:11.880 00:12:14.309 Demilade Agboola: And when are we also looking to implement like Mixpanel?

66 00:12:15.310 00:12:16.050 Demilade Agboola: Like I said.

67 00:12:16.050 00:12:19.740 Robert Tseng: Day 4 is already like.

68 00:12:19.890 00:12:25.804 Robert Tseng: I mean, we’re not gonna build building out a g 4. So the G 4 stuff there’s already stuff there.

69 00:12:26.530 00:12:28.339 Robert Tseng: it’s like Ryan kind of

70 00:12:28.440 00:12:33.299 Robert Tseng: has a funnel there. So what we’re doing here is is not is not for K. 4.

71 00:12:35.060 00:12:36.699 Demilade Agboola: So it’s larger for mixed panel.

72 00:12:37.470 00:12:38.140 Robert Tseng: Yeah.

73 00:12:38.430 00:12:39.060 Demilade Agboola: Gotcha.

74 00:12:42.490 00:12:52.929 Robert Tseng: But like the data is gonna live in in bigquery, too. So there’s like, there’s like a ingestion piece where we have the pipeline to bigquery, and then there’s a tracking piece, too, which is that’s on me for the next.

75 00:13:07.140 00:13:08.110 Robert Tseng: Hmm.

76 00:13:15.410 00:13:27.749 Ryon: Rob to answer Robert to answer your question about the document. Yes, I will share that with you today. It’ll probably be later today only because I’m pretty focused on another big project right now, that needs to be completed. Is that okay? Or do you.

77 00:13:27.750 00:13:43.950 Robert Tseng: Yeah, yeah, no worries. I mean, we’re, you know, we’re kind of greasing the wheels here. It’s gonna take a bit to kind of keep- keep. Get this, get this rolling. But I think it’s just about getting all the requirements here. And then there’s a couple of things that we need to the tracking needs to be done today, and it’s on me. And then

78 00:13:44.140 00:13:51.820 Robert Tseng: the I mean, Demo is gonna be working on the modeling so as far as like getting you a report. It’s not gonna come till next week, probably.

79 00:13:54.340 00:13:55.930 Ryon: That’s fine. I

80 00:13:56.710 00:14:02.870 Ryon: I just don’t want to be the blocker, so if I am like, call me out like as soon as I can

81 00:14:06.590 00:14:07.620 Ryon: think that’s it.

82 00:14:08.500 00:14:09.060 Robert Tseng: Cool.

83 00:14:09.240 00:14:17.259 Robert Tseng: Yeah, alright. Well, I mean, I know you said you were writing out some tickets, too. If you have any other context, you want to just send me you can. Otherwise, I feel like we’re

84 00:14:17.560 00:14:22.000 Robert Tseng: good. Here. I’m gonna take this into our stand up and then we’re gonna go and get after it.

85 00:14:22.723 00:14:24.539 Ryon: Last quick note here.

86 00:14:25.160 00:14:38.659 Ryon: How much detail do you guys prefer? I’ve always approached things with the like highest degree of detail, and like other jobs in other places. But like, if you guys like know all stuff I don’t want to like, you know, give you more than is necessary. Like, do you guys prefer more detail or less detail.

87 00:14:39.239 00:15:01.869 Robert Tseng: I mean, I think more details probably is generally better like I. I think that’s why we kind of write out a bunch of context in these tickets. So yeah, I mean anything that you that you find you think is helpful is, I mean, if you don’t want to write it all out to we. We share looms with each other all the time. So I know you’ve recorded some looms, and I watch those. So I appreciate that.

88 00:15:02.730 00:15:03.530 Robert Tseng: But yeah.

89 00:15:04.710 00:15:06.420 Ryon: Cool. I’ll work from that.

90 00:15:06.980 00:15:08.890 Ryon: Okay. Alright, cool thanks, guys.

91 00:15:09.160 00:15:10.149 Robert Tseng: I can hear him.