Meeting Title: EMR Sync Date: 2025-07-23 Meeting participants: Ayush’s Fathom Notetaker, Amber Lin, Ayush Goyal, Awaish Kumar
WEBVTT
1 00:00:10.130 ⇒ 00:00:11.509 Ayush Goyal: Better, your phone.
2 00:00:12.080 ⇒ 00:00:13.370 Amber Lin: Hi! There!
3 00:00:14.310 ⇒ 00:00:15.899 Ayush Goyal: Hi! Amber! How are you?
4 00:00:16.720 ⇒ 00:00:29.570 Amber Lin: I’m good. We were just meeting internally for the for our team, for Eden. So we should be here very soon. Do you know, if Cameron or Ryan will be here.
5 00:00:30.614 ⇒ 00:00:40.459 Ayush Goyal: I’ve added Ryan, as an optional attendee, because he deals with a lot of telemetry, but he’s not directly responsible. So that’s why I’m recording the notes.
6 00:00:40.852 ⇒ 00:00:45.459 Ayush Goyal: You know. That’s okay. Okay. Ryan says he’s he’ll be joining, but it’ll be late by a few.
7 00:00:45.460 ⇒ 00:00:45.990 Amber Lin: Oh, awesome!
8 00:00:45.990 ⇒ 00:00:46.550 Ayush Goyal: Sunny.
9 00:00:46.680 ⇒ 00:00:52.370 Ayush Goyal: Another meeting Cameron should be joining. Let me just ping him also.
10 00:01:38.390 ⇒ 00:01:39.690 Awaish Kumar: Hi! Everyone.
11 00:01:41.350 ⇒ 00:01:41.840 Ayush Goyal: Hello!
12 00:01:41.840 ⇒ 00:01:42.400 Amber Lin: Hi! There!
13 00:01:49.220 ⇒ 00:01:50.070 Awaish Kumar: Yeah.
14 00:01:50.070 ⇒ 00:01:53.300 Ayush Goyal: Let’s do it, Cameron, but he seems to be offline.
15 00:01:54.500 ⇒ 00:01:57.789 Ayush Goyal: I know he was with Adam earlier. I met him earlier in the morning.
16 00:02:02.010 ⇒ 00:02:02.650 Amber Lin: Okay?
17 00:02:04.033 ⇒ 00:02:12.200 Amber Lin: Which I I can take notes on the notion, Doc, I’m just trying to find where it is.
18 00:02:14.450 ⇒ 00:02:17.829 Awaish Kumar: So I usually start or like we wait for Kamal.
19 00:02:19.435 ⇒ 00:02:26.350 Ayush Goyal: I think we can start. At least, you know, we can record. We’re already recording this meeting, so we can share this with Cameron, for now.
20 00:02:26.720 ⇒ 00:02:32.760 Ayush Goyal: And you know, if he has any questions he can circle back, because I know he’s heads down on the Emr.
21 00:02:34.410 ⇒ 00:02:36.270 Ayush Goyal: But if if there’s sounds good.
22 00:02:37.800 ⇒ 00:02:43.879 Ayush Goyal: Yeah. But if the agenda of this meeting concerns Emr much more, we can probably reschedule them.
23 00:02:45.400 ⇒ 00:03:03.830 Awaish Kumar: Yeah, like for this, like, we are like like to understand the full Emr, like, like what what is happening and also like the intact side, like, we want to understand both sides and the like the timelines, and how the data requirements which we have are going to be
24 00:03:04.220 ⇒ 00:03:07.080 Awaish Kumar: like, what is the timeline for that as well.
25 00:03:07.870 ⇒ 00:03:14.410 Ayush Goyal: Alright. I cannot cover for Cameron, but I can speak about the intakes, probably, you know, can end this call early.
26 00:03:15.280 ⇒ 00:03:18.570 Ayush Goyal: Probably can schedule another session with Cameron. It’s himself
27 00:03:18.780 ⇒ 00:03:22.319 Ayush Goyal: later, if that’s okay. Avaisha and Amber.
28 00:03:23.830 ⇒ 00:03:25.770 Awaish Kumar: Yeah, that’s completely, okay, right?
29 00:03:26.520 ⇒ 00:03:41.220 Ayush Goyal: Okay? So on the intake side, how we’re doing is we’re sending all the telemetry right now to Gtm, we are recording. I mean Gtm records, default parameters. But we’re also like recording some stuff. Let me share my screen and just quickly give you an overview.
30 00:03:50.580 ⇒ 00:03:53.359 Awaish Kumar: Intact is also the part of emr right.
31 00:03:54.229 ⇒ 00:03:59.259 Ayush Goyal: So intake is a separate web project. Emr is a separate web project. So
32 00:03:59.370 ⇒ 00:04:12.080 Ayush Goyal: when whenever the customer completes an intake, they send all the data to the Emr. And the Emr then takes over. Think of intakes as just as just like a glorified Embeddables, or like a you know, glorified form builder. That’s it.
33 00:04:13.239 ⇒ 00:04:25.809 Awaish Kumar: It’s just okay. So the like, the flow is that customer lands to the in text and they fill it out submit the form, and then they are redirected to emr page right or.
34 00:04:26.310 ⇒ 00:04:29.540 Ayush Goyal: Correct, correct, correct. That’s absolutely spot on
35 00:04:30.019 ⇒ 00:04:45.489 Ayush Goyal: so what we do right now is again, this is some of the part of it is work in progress, and we’re open to any suggestions. How it’s structured right now is, you know. Think of of the think of the intake as like, you know.
36 00:04:45.490 ⇒ 00:05:01.969 Ayush Goyal: a graph cycle, you know, because there are a lot of pathways. Someone you know, can land on. For example, if there are more suitable match for Medkits, we push them down the Medkits part versus. If there are more suitable match for glp ones, we go, we let them go down that path.
37 00:05:02.070 ⇒ 00:05:20.060 Ayush Goyal: So what we do is we collect at every screen. Whenever they submit a question, we collect the timestamp. We collect, for example, the what, the, what the id of the question was, that was, that’s internal id. What? The question type is, what the value? I mean, what the answer? What is the answer they selected for that
38 00:05:20.130 ⇒ 00:05:39.430 Ayush Goyal: the title of the question, the document title, what’s the next question, what’s the previous question? And if they experience any errors? While answering that question. We also sort of record these events. And all of this is sent to Gtm, and so this way, you know, the team can see data on Google analytics.
39 00:05:40.280 ⇒ 00:05:52.880 Ayush Goyal: We also plan to send this data to segment. So that you know, all of this is in the in in a data warehouse. So you know we can do some analysis. You know. Run some SQL. Scripts down the line.
40 00:05:53.870 ⇒ 00:05:57.839 Awaish Kumar: But not okay. So we are looking for
41 00:05:58.910 ⇒ 00:06:03.450 Awaish Kumar: looking to send it both to Gtm. And segment, or it can be like from Gtm
42 00:06:04.023 ⇒ 00:06:08.429 Awaish Kumar: to. It can be like using. Gf, 4. It can go to bigquery as well.
43 00:06:09.570 ⇒ 00:06:17.410 Ayush Goyal: We are not planning to do Gfo to bigquery. Actually, I have a sort of an image for that. Let me just bring that up one sec.
44 00:06:20.690 ⇒ 00:06:21.070 Awaish Kumar: Yeah.
45 00:06:21.321 ⇒ 00:06:24.090 Ayush Goyal: I’ll just put in the same document that will clarify things.
46 00:06:24.770 ⇒ 00:06:29.789 Awaish Kumar: So is there any different like when we send to Gtm. That that is going to Gf. 4 as well? Right.
47 00:06:30.790 ⇒ 00:07:00.189 Ayush Goyal: Yes, so I’d like to bring you some attention here, since Ga. 4 and Gtm. Are not hipaa compliant, we cannot actually send. For example, the user ids along with the data because we cannot sort of segment by users on Google analytics. But we can do so, for example, with segment and Google analytics. So what happens is whenever someone is filling in the intake, we send anonymized data to Ga, 4, which is basically, you know.
48 00:07:00.430 ⇒ 00:07:07.649 Ayush Goyal: where are people right now on the intakes. You know, what’s the funnel metrics? And you know, some basic performance data.
49 00:07:07.930 ⇒ 00:07:22.470 Ayush Goyal: But we also send, for example, identifiable information. So we can know. For example, Ayush did this form. This was a session. So you can PIN ayush with my email address and see my answers. And you know, actually see my user journey and reconstruct it.
50 00:07:22.740 ⇒ 00:07:31.650 Ayush Goyal: So all of this goes to segment segment sort of has a connector with mixed panel. Sorry has a destination. Mix panel and bigquery.
51 00:07:32.520 ⇒ 00:07:37.089 Awaish Kumar: Yeah, we we have seen the segment set up. But yeah, so you’re saying, the data
52 00:07:37.270 ⇒ 00:07:40.069 Awaish Kumar: from intact is going to go to
53 00:07:40.780 ⇒ 00:07:45.339 Awaish Kumar: segment with much more like information than it.
54 00:07:45.340 ⇒ 00:07:45.820 Ayush Goyal: That is.
55 00:07:45.820 ⇒ 00:07:48.040 Awaish Kumar: It goes to. Gtm, okay? Understood?
56 00:07:50.490 ⇒ 00:07:52.219 Ayush Goyal: And customer, I/O.
57 00:07:52.220 ⇒ 00:07:56.077 Awaish Kumar: And what are the like timelines here like?
58 00:07:57.514 ⇒ 00:08:02.840 Awaish Kumar: how familiar with your Internet work, and also like these events?
59 00:08:03.612 ⇒ 00:08:06.209 Awaish Kumar: From intake to segment and like.
60 00:08:06.550 ⇒ 00:08:10.309 Awaish Kumar: how, when did you think that like what is? What are your timelines.
61 00:08:11.160 ⇒ 00:08:34.570 Ayush Goyal: Yeah, sure. So what we’ve done is, we’ve pretty much have completed all of these. You know these events. So these are like fields in an event. So whenever you submit a answer to a question, all of this event gets recorded and sent to Gtm. And it’ll be like a day long work to send send it to segment segment as well, so we are pretty much far into it. And you know you can.
62 00:08:34.750 ⇒ 00:08:40.059 Ayush Goyal: I mean I I can push it out, you know, even tomorrow, and get get it in your hands. The data.
63 00:08:41.070 ⇒ 00:08:42.709 Awaish Kumar: Okay, that would be nice.
64 00:08:42.980 ⇒ 00:08:45.905 Ayush Goyal: Yeah, and one second,
65 00:08:46.490 ⇒ 00:08:48.879 Awaish Kumar: Pulling the full, intact flow from
66 00:08:49.440 ⇒ 00:08:59.129 Awaish Kumar: the so I use started some sign up page, for example. Then it went to each question, What? What? Whatever it?
67 00:08:59.330 ⇒ 00:09:09.899 Awaish Kumar: The answer was. And there are some forms which require text to be filled out like name emails and things like that. So we are catching everything, and it is going to segment right.
68 00:09:10.630 ⇒ 00:09:15.620 Ayush Goyal: Correct. So let me just show you actually how it works. So once they if they’re in a
69 00:09:15.982 ⇒ 00:09:18.649 Ayush Goyal: you can still still see my screen right with the intake.
70 00:09:18.650 ⇒ 00:09:19.830 Awaish Kumar: Yes, I can see.
71 00:09:19.830 ⇒ 00:09:37.419 Ayush Goyal: Okay, cool. So you know, I’ve just console locked stuff for just for debugging. But as soon as they click on the cookie consent, the Gtm sort of container becomes active. And let’s say, you know, I sort of start answering these questions. Actually, let me just turn on the Google Tag Assistant.
72 00:09:39.840 ⇒ 00:09:42.640 Awaish Kumar: Yeah, of course. So good.
73 00:09:43.800 ⇒ 00:09:54.899 Awaish Kumar: Okay, it. It is going to Google tag manager, and how it is will be coming to segment from Gtm. Or it will be coming directly from this website. Right? You will be directly sending.
74 00:09:55.190 ⇒ 00:09:55.920 Ayush Goyal: Yeah.
75 00:09:56.260 ⇒ 00:09:56.920 Awaish Kumar: Okay.
76 00:09:57.680 ⇒ 00:10:03.020 Ayush Goyal: Yeah, let me let me just bring this on to, because I don’t have access to the stack. That’s why. Probably it’s not showing up. But
77 00:10:04.030 ⇒ 00:10:07.530 Ayush Goyal: let me just go to another link one second.
78 00:10:26.210 ⇒ 00:10:33.064 Ayush Goyal: Yeah. So, for example, we’re just still playing with it. For example, if you see this question answered event. So this question answered, has
79 00:10:34.200 ⇒ 00:10:57.930 Ayush Goyal: you know, you know, for example, the the form id, which is the Megantic one it tells us which page it came from. What’s the current page? What’s the current type of question, what? The answer? The user put the the question title, and we also have own. You know our own session Ids, which are stored in the local storage of the browser. So we can use the session Id. If the user has not signed up, and still reconstruct their journey.
80 00:10:58.220 ⇒ 00:10:59.649 Ayush Goyal: and do some analysis.
81 00:11:03.520 ⇒ 00:11:12.369 Awaish Kumar: Okay, and from and okay, we’ve and the from the session id. Also, we combine all the questions together.
82 00:11:12.760 ⇒ 00:11:13.300 Awaish Kumar: correct.
83 00:11:15.060 ⇒ 00:11:22.159 Ayush Goyal: Yeah. So I also, you know, did some sample of it. So it’s probably on the on the big queries. One second, where is that
84 00:11:22.510 ⇒ 00:11:24.810 Ayush Goyal: cloud.google.com, I guess.
85 00:11:28.980 ⇒ 00:11:33.520 Ayush Goyal: So Ryan has access to this. But let me just bring it up oops
86 00:11:50.560 ⇒ 00:11:52.350 Ayush Goyal: bigquery.
87 00:11:54.820 ⇒ 00:12:05.989 Ayush Goyal: So all of this information I tested one a poc where it could went through the intake where it went, where we went through the intake. If the data got through the segment, and then sort of landed here.
88 00:12:06.420 ⇒ 00:12:12.770 Ayush Goyal: So it’s it’s 1 of those tables that answers questions.
89 00:12:16.860 ⇒ 00:12:18.939 Ayush Goyal: Yeah. I think Emr didn’t take care of this one.
90 00:12:19.660 ⇒ 00:12:21.040 Ayush Goyal: So.
91 00:12:24.420 ⇒ 00:12:27.329 Awaish Kumar: So you like from
92 00:12:27.940 ⇒ 00:12:40.000 Awaish Kumar: intake is a web project, and then you are calling. You will be calling the segment Api directly to send your events, or like you will be using some tool to do that.
93 00:12:40.960 ⇒ 00:12:44.249 Ayush Goyal: Yeah, correct. I mean, we’re using the Segment Library itself directly.
94 00:12:45.520 ⇒ 00:12:46.120 Awaish Kumar: Okay.
95 00:12:47.630 ⇒ 00:13:06.529 Ayush Goyal: Yeah, so this is how sort of I mean, this is not production ready. But this is an idea of how we’re going to send information, so you’ll have the session. Id ignore the anonymous id we’ll have some IP address and tracking we’ll have, for example, which page they are on right now. And of course you know some some other system information
96 00:13:06.710 ⇒ 00:13:13.060 Ayush Goyal: and you know some, some event names, some question answers how much? The
97 00:13:13.280 ⇒ 00:13:16.699 Ayush Goyal: what’s the progress percentage. What the question type is.
98 00:13:16.870 ⇒ 00:13:33.990 Ayush Goyal: question id etc, etc, on this. So you can sort of group by the session ids and see, you know, or you know, filter by session ids, or you can also like filter by user. Id so you can see if someone’s logged in, you can actually pinpoint with the user with their email addresses. That is not possible.
99 00:13:33.990 ⇒ 00:13:35.109 Awaish Kumar: Have questions.
100 00:13:36.760 ⇒ 00:13:40.310 Awaish Kumar: Is there any field which sorry.
101 00:13:40.760 ⇒ 00:13:43.469 Ayush Goyal: Yeah, for the sequence of questions. We’ll be providing that to you.
102 00:13:45.170 ⇒ 00:13:48.680 Awaish Kumar: Okay, so in the same
103 00:13:51.201 ⇒ 00:13:53.659 Awaish Kumar: table, like question answered, it will come.
104 00:13:53.660 ⇒ 00:13:55.829 Ayush Goyal: Yeah, everything is here.
105 00:13:55.830 ⇒ 00:13:56.520 Awaish Kumar: Kind of.
106 00:13:57.220 ⇒ 00:14:04.120 Ayush Goyal: Yes, no, not 1, 2, 3. We have, for example, the form Id, and let let me go to the talk itself. That’s easier.
107 00:14:04.410 ⇒ 00:14:10.740 Ayush Goyal: So this is the form. Id. This is the question. Id node id is the question. Id.
108 00:14:11.390 ⇒ 00:14:13.570 Ayush Goyal: and you can see the question title with this.
109 00:14:15.696 ⇒ 00:14:16.469 Awaish Kumar: But
110 00:14:16.760 ⇒ 00:14:23.170 Awaish Kumar: the I’m I’m just talking about the sequence of like, which was the question. One which one was the question. 2.
111 00:14:24.040 ⇒ 00:14:37.439 Ayush Goyal: Oh, yeah, good idea. Yeah. We don’t send that sequence, because, you know, for every every user, the sequence in ordering will differ. For example, someone’s disqualified the the sequence numbers will be different, because it’s it’s a huge intake, a lot of directions.
112 00:14:37.920 ⇒ 00:14:38.749 Awaish Kumar: It’s a problem.
113 00:14:39.420 ⇒ 00:14:46.640 Awaish Kumar: But like, if I’m not sure if that’s something oh.
114 00:14:47.330 ⇒ 00:14:50.540 Awaish Kumar: important. But like for an analysis side like
115 00:14:50.800 ⇒ 00:14:55.560 Awaish Kumar: we want to understand, like in what sequence, if we provide the questions, they are more
116 00:14:57.290 ⇒ 00:15:01.009 Awaish Kumar: like user, pay more attention to them than and don’t.
117 00:15:01.540 ⇒ 00:15:03.750 Awaish Kumar: Don’t abandon the forms. Things like that.
118 00:15:05.220 ⇒ 00:15:08.639 Awaish Kumar: Things like that. This sequence will help us to do that.
119 00:15:09.240 ⇒ 00:15:18.010 Ayush Goyal: Yes, so technically, you can rebuild the sequence. So we have Prom and 2. So if you stitch them together, we can understand the sequence where the customer went.
120 00:15:18.600 ⇒ 00:15:23.429 Awaish Kumar: Okay, yeah, okay, yeah, we using that, we can do that.
121 00:15:23.920 ⇒ 00:15:24.610 Ayush Goyal: Yes.
122 00:15:26.793 ⇒ 00:15:27.859 Awaish Kumar: Yeah, the.
123 00:15:28.000 ⇒ 00:15:35.590 Awaish Kumar: So I understand the the flow. Now, we just want to now understand the timelines. I think in this
124 00:15:36.350 ⇒ 00:15:40.129 Awaish Kumar: meeting, unless amber has something else as well.
125 00:15:41.050 ⇒ 00:15:41.600 Amber Lin: Yeah.
126 00:15:41.600 ⇒ 00:15:53.210 Amber Lin: I was just thinking, if you guys have a project plan, for I know there’s a intake project. And then there’s the Mr. Project. Do you guys have project plans for both of these.
127 00:15:54.084 ⇒ 00:15:57.980 Ayush Goyal: I don’t have project plans for the Mr. But for the intakes.
128 00:15:58.550 ⇒ 00:16:18.360 Ayush Goyal: I mean we’ll we’ll so we we’re sort of dependent on the Emr right now, without the Emr. We cannot actually, you know, launch into with on public, but at least from the telemetry side. I think we’ll be ready by next Monday. So by next Monday you’ll see data sort of coming into segment. Of course, all test data, no production data. But you’ll see some data there.
129 00:16:21.060 ⇒ 00:16:22.717 Amber Lin: Hmm! I see.
130 00:16:23.670 ⇒ 00:16:30.859 Amber Lin: So based on what you said, there’s no there’s really a plan for the Emr function right.
131 00:16:32.410 ⇒ 00:16:36.100 Ayush Goyal: I mean. Cameron can tell tell more because he is like the project owner.
132 00:16:36.100 ⇒ 00:16:49.149 Amber Lin: Oh, I see. Yeah, I was wondering if we can get say, viewing access to your project plan documents, because it helps us helps us understand how we’re impacted.
133 00:16:49.870 ⇒ 00:16:56.870 Amber Lin: So I don’t think it’s enough time in this meeting for us to go through everything, and I think it’ll save you some time, if we can read it on our own.
134 00:16:57.680 ⇒ 00:17:15.739 Ayush Goyal: Sure. I mean, we don’t technically have a project and drafted. The goal is to go live. We. We already have a soft internal launch today. So this this form is already in Qa with respective owners. And we will call this ready, I mean, ready ready for production launch on Monday.
135 00:17:16.280 ⇒ 00:17:29.470 Amber Lin: Okay, so I can ask Cameron for the Emr. Oh, okay, let me note that down on hand.
136 00:17:33.330 ⇒ 00:17:43.180 Ayush Goyal: Because I think what will happen is we’ll be sending segments. Some telemetry. Emr will be sending some telemetry, and we probably might have to like stitch it up together, maybe refactor, you know.
137 00:17:43.460 ⇒ 00:17:47.650 Ayush Goyal: when we both of us sit together, I mean the 3 of us.
138 00:17:47.970 ⇒ 00:17:57.319 Ayush Goyal: and you know we decide what to do, because some events might be redundant, or there might be some events that he wants us to add versus what we want him to add.
139 00:17:57.500 ⇒ 00:18:03.640 Ayush Goyal: So I think once we have everyone on the same table, we can probably debate and talk more, and also, like, you know, do our homework.
140 00:18:04.290 ⇒ 00:18:22.320 Amber Lin: Okay, yeah. I know. I wish had another question. I just wanted to document who people are and essentially what to contact different people, for I know you were responsible for the intake project. I know you said Cameron’s
141 00:18:23.151 ⇒ 00:18:30.070 Amber Lin: responsible for Emr. I know Ryan was responsible for.
142 00:18:31.823 ⇒ 00:18:50.180 Ayush Goyal: I I can tell you. The owners so Ryan and me are the Pm. And Dev. I mean Ryan is the Pm. Owner of intakes. I am the Dev owner of intakes Cameron is the dev owner of the Emr. And Adam himself, like Adam Mcbride, is the Pm. Owner of the Emr.
143 00:18:53.864 ⇒ 00:18:57.560 Amber Lin: dev. Owner of Emr.
144 00:18:57.860 ⇒ 00:19:03.509 Amber Lin: do we have sorry? What was the other name that you mentioned are they in the channel.
145 00:19:04.240 ⇒ 00:19:07.000 Ayush Goyal: Yeah. I mean, Adam himself is the Pm. Of the Emr.
146 00:19:08.840 ⇒ 00:19:12.260 Amber Lin: Oh, Adam, okay, sorry. I missed that. My bad.
147 00:19:12.260 ⇒ 00:19:17.130 Ayush Goyal: I mean, I just told him you’re him. You know his full name, because I think there are 2 items in the company.
148 00:19:19.140 ⇒ 00:19:19.940 Ayush Goyal: Yeah.
149 00:19:22.510 ⇒ 00:19:23.230 Amber Lin: Okay.
150 00:19:23.450 ⇒ 00:19:26.960 Amber Lin: So I assume next meeting we would try to get
151 00:19:27.130 ⇒ 00:19:31.639 Amber Lin: all 4 of you in the meeting, or are we only aiming to get a few.
152 00:19:32.210 ⇒ 00:20:01.500 Ayush Goyal: I think in the next meeting I’ll still be sitting by on standby. But Cameron will be the sort of the main person who’s gonna talk about it? And what will happen eventually amber is that in the next few weeks both me and Cameron will sort of be working together on the intakes and the, you know, on on the Mr. So you know, it will be both of us in the next few weeks. But yeah, at least, for now it’s it’s just me on the intakes and him on the Mr.
153 00:20:02.170 ⇒ 00:20:12.730 Amber Lin: Okay, gotcha and let’s I know you’re out on Friday.
154 00:20:14.970 ⇒ 00:20:15.630 Amber Lin: Should we?
155 00:20:15.946 ⇒ 00:20:24.819 Ayush Goyal: Please don’t wait for me. Even if you get Cameron’s time on Friday you can record the meeting for me. I’ll catch a basic and get back.
156 00:20:25.000 ⇒ 00:20:26.791 Amber Lin: Okay, that would be great.
157 00:20:27.650 ⇒ 00:20:31.519 Amber Lin: can you help us? Look at Cameron’s calendar. I just want to grab the time. Now
158 00:20:31.720 ⇒ 00:20:34.119 Amber Lin: I think that will be a lot faster.
159 00:20:35.430 ⇒ 00:20:37.178 Ayush Goyal: Okay, let me just open as
160 00:20:39.890 ⇒ 00:20:53.139 Amber Lin: And I wish I’ll look at your calendar to see when you’re free. I think it’s probably also better to have it before. I think, like 2 Pm. Like, same same as your time zone. I think that will be better for a wish as well.
161 00:20:54.216 ⇒ 00:21:00.660 Amber Lin: Does it work between? Say, I’m sorry. 9 and 10 Am. Pst.
162 00:21:02.088 ⇒ 00:21:05.709 Ayush Goyal: So yeah, unfortunately, I don’t have access to Cameron’s calendar. I think it’s set.
163 00:21:05.710 ⇒ 00:21:10.300 Amber Lin: Okay, then I’ll go. Ask him. I’ll go ask Cameron if it works.
164 00:21:10.860 ⇒ 00:21:15.800 Ayush Goyal: Yeah. Yup, you can ask him on the channel itself. So Adam is also aware.
165 00:21:18.240 ⇒ 00:21:19.969 Amber Lin: Should I invite Adam.
166 00:21:20.856 ⇒ 00:21:28.010 Ayush Goyal: You don’t have to invite him. You can keep him keep him as optional, because he is the Pm. Owner he should be, you know CC’d into it.
167 00:21:28.795 ⇒ 00:21:32.419 Amber Lin: Okay, awesome. So I will go ask.
168 00:21:40.560 ⇒ 00:21:43.199 Amber Lin: yeah, I wish, did you have any more questions.
169 00:21:44.870 ⇒ 00:21:47.469 Awaish Kumar: Nope, not not right now.
170 00:21:47.820 ⇒ 00:21:48.530 Amber Lin: Okay.
171 00:21:48.710 ⇒ 00:21:49.640 Ayush Goyal: All right.
172 00:21:49.930 ⇒ 00:21:50.810 Amber Lin: Muted.
173 00:21:51.970 ⇒ 00:21:53.010 Amber Lin: Yeah.
174 00:21:53.260 ⇒ 00:21:53.766 Awaish Kumar: Thank you.
175 00:21:54.390 ⇒ 00:21:54.930 Amber Lin: Alright!
176 00:21:54.930 ⇒ 00:21:56.700 Ayush Goyal: Alright cheers, guys! Bye-bye, thank you.
177 00:21:57.790 ⇒ 00:21:58.680 Amber Lin: Have a good one.
178 00:21:58.940 ⇒ 00:22:01.289 Ayush Goyal: Yeah, you, too. Bye-bye. Thank you. Thank you. Thank you.
179 00:22:01.470 ⇒ 00:22:02.310 Awaish Kumar: Right, right.
180 00:22:02.610 ⇒ 00:22:02.909 Ayush Goyal: Bye.