Meeting Title: Stackblitz | Standup Date: 2025-03-31 Meeting participants: Uttam Kumaran, Amber Lin, Stephane Sol, Ryan, Alejandro Rojas
WEBVTT
1 00:00:20.390 ⇒ 00:00:21.730 Amber Lin: Hi! Stephon!
2 00:00:23.570 ⇒ 00:00:24.500 Stephane Sol: Hello!
3 00:00:25.210 ⇒ 00:00:27.119 Amber Lin: Hi! How’s it going
4 00:00:27.120 ⇒ 00:00:30.667 Stephane Sol: Pretty good. Where whereabouts in the world are you from? Are you in
5 00:00:30.940 ⇒ 00:00:32.210 Amber Lin: I’m in la right now.
6 00:00:32.210 ⇒ 00:00:35.470 Amber Lin: So like it’s 7 50. What about you
7 00:00:35.740 ⇒ 00:00:37.800 Stephane Sol: I’m in Houston. So 9, 46,
8 00:00:38.320 ⇒ 00:00:38.840 Amber Lin: Okay.
9 00:00:40.140 ⇒ 00:00:41.170 Alejandro Rojas: Hello!
10 00:00:41.170 ⇒ 00:00:42.340 Amber Lin: Hello!
11 00:00:46.060 ⇒ 00:00:48.519 Alejandro Rojas: I saw you were talking about times
12 00:00:48.520 ⇒ 00:00:50.870 Amber Lin: Yeah, oh, you’re
13 00:00:50.870 ⇒ 00:00:51.200 Alejandro Rojas: Like.
14 00:00:51.200 ⇒ 00:00:52.630 Amber Lin: Everyone Alejandro
15 00:00:52.660 ⇒ 00:00:54.620 Alejandro Rojas: Almost 5. Pm, here, yeah.
16 00:00:54.620 ⇒ 00:00:56.670 Amber Lin: I see. Wow!
17 00:00:57.250 ⇒ 00:00:57.650 Alejandro Rojas: Yeah.
18 00:00:57.650 ⇒ 00:01:03.180 Amber Lin: Yeah, how’s progress on everything? Did you guys? And you guys were able to access everything and go in and look?
19 00:01:05.190 ⇒ 00:01:10.752 Amber Lin: Yep, I would. I know you put a ticket on their house.
20 00:01:12.407 ⇒ 00:01:15.079 Amber Lin: Can you talk me through that a little bit more?
21 00:01:16.670 ⇒ 00:01:22.609 Amber Lin: Which one? The yeah. I I know. You guys put another ticket on the
22 00:01:23.230 ⇒ 00:01:28.170 Amber Lin: on the linears. And you guys wanted it wanted some input from our side right
23 00:01:29.110 ⇒ 00:01:39.936 Stephane Sol: Yeah. So essentially, it was a request from, we have a new head of customer service, and they just wanted to know some information, general information about customers.
24 00:01:40.860 ⇒ 00:01:52.019 Stephane Sol: and seeing as how I could make a bunch of assumptions trying to pull this data from the tables right? Like, select all from customers where he’s active. So but I just figured they seemed
25 00:01:52.530 ⇒ 00:02:13.610 Stephane Sol: they seemed simple enough. So I was gonna ask you all gonna pull them, and kind of show me how you would work through them with the existing models, and kinda like learn by seeing how you all work on what’s been created already? Hopefully get a sense of like, what are the fields? You know? What are some assumptions or some gaps? Things like that?
26 00:02:14.770 ⇒ 00:02:24.179 Amber Lin: I see, just a quick question is, we’re talking about the ticket of request, bulk, user information. Right? Is that for the customer service and okay.
27 00:02:25.255 ⇒ 00:02:26.070 Amber Lin: For
28 00:02:26.240 ⇒ 00:02:32.625 Amber Lin: just clarify that because, Luke, would you be able to show them how we do it? Now depend
29 00:02:36.300 ⇒ 00:02:37.400 Ryan: Not sure we’re nice
30 00:02:42.120 ⇒ 00:02:56.959 Stephane Sol: Well, I’m just to be clear. I know you all are like obviously using Snowflake. It’s kind of more like what? Query? How would you approach this? What query would you? All right? What filters are you using things like that? Just kind of see what the logic is? What what are the what are the filters you all are applying to get this information
31 00:02:57.040 ⇒ 00:03:11.220 Amber Lin: Good I mean, do you guys want to stay after a little bit to meet with Luke to go over that? I want this, I kind of want this stand up to be really quick, because I don’t want to keep everyone in here. So our date our 2 data teams can look at it after we’re done
32 00:03:11.220 ⇒ 00:03:20.150 Uttam Kumaran: Yeah, I mean the amber. The due date for this is end of day today. So I guess I’m not sure, Luke, if you had a chance to look at this by for the end of the week. Last week
33 00:03:20.780 ⇒ 00:03:22.950 Ryan: I haven’t read, actually. So yeah.
34 00:03:22.950 ⇒ 00:03:25.960 Uttam Kumaran: Your your mic is kind of low. I can’t really hear anything
35 00:03:27.010 ⇒ 00:03:28.159 Ryan: Hello! Can you hear me now?
36 00:03:29.800 ⇒ 00:03:31.149 Uttam Kumaran: Kind of yeah.
37 00:03:31.150 ⇒ 00:03:32.180 Ryan: Better.
38 00:03:32.180 ⇒ 00:03:33.040 Uttam Kumaran: Yeah, yeah.
39 00:03:35.130 ⇒ 00:03:45.789 Ryan: Oh, yeah, I haven’t looked into this. So yeah, I’ll have to check out the query, maybe we can also do this in rail, because it’s already there. We could just like filter the
40 00:03:46.440 ⇒ 00:03:48.040 Ryan: needed fields to filter
41 00:03:49.380 ⇒ 00:03:49.880 Stephane Sol: Yeah, and
42 00:03:49.880 ⇒ 00:03:51.330 Ryan: That’s fine with you.
43 00:03:51.750 ⇒ 00:04:04.460 Stephane Sol: Yeah, that’s that’s great. However, you all would like, I just get a sense of like how you all would answer this question. I don’t know if a question like this has come up against you guys before and in terms of the deadline, I mean, we could do it tomorrow as well like that was Monday was just
44 00:04:04.876 ⇒ 00:04:10.859 Stephane Sol: I just put that out there. I think we’re actually talking to them on Wednesday. So I just wanted to give a little room to talk things over. But
45 00:04:10.860 ⇒ 00:04:11.240 Stephane Sol: phones?
46 00:04:11.240 ⇒ 00:04:12.940 Stephane Sol: Yeah.
47 00:04:13.100 ⇒ 00:04:16.390 Uttam Kumaran: Okay, then let’s yeah, let’s plan on just trying to get something
48 00:04:16.849 ⇒ 00:04:21.520 Uttam Kumaran: like around this by end of day today. And then we can discuss and stand up tomorrow, or
49 00:04:22.000 ⇒ 00:04:26.500 Uttam Kumaran: if Luke, it ends up being quicker, you can probably just send a loom over with with what we did
50 00:04:26.960 ⇒ 00:04:28.750 Ryan: Okay. Sounds good.
51 00:04:30.260 ⇒ 00:04:40.809 Amber Lin: So you guys can either meet or look and send the video over. Let’s talk about what? I guess what have been done and what we want to get done
52 00:04:41.490 ⇒ 00:04:47.450 Amber Lin: this week or moving forward. So I know we’ve looked at. We’ve looked at all the
53 00:04:47.830 ⇒ 00:04:53.729 Amber Lin: different data structures and infrastructures. And what do you guys think is the next step here?
54 00:04:56.580 ⇒ 00:05:11.641 Stephane Sol: So we’ve got some kind of action items. Kind of look, you know. For instance, we didn’t know. Like, if we just like throw some issues on your board, or they’re already covered in some of our notes. An example would be, you know, want to get those secrets? I know there.
55 00:05:12.080 ⇒ 00:05:17.545 Stephane Sol: I think we talked about doing like one off one password shares things like that.
56 00:05:18.610 ⇒ 00:05:23.300 Uttam Kumaran: Yeah, on that note, like I I the last thing I had was waiting on on y’all to
57 00:05:23.770 ⇒ 00:05:28.770 Uttam Kumaran: to get us like where we could dump those or like how would that? How should we transfer that over
58 00:05:29.540 ⇒ 00:05:54.568 Stephane Sol: Yeah, if if you don’t need, if you all, I think this way, like, if you all don’t need access to the secrets after they change again. You can just give them to us as like one time shares, and we can just import them. If you need shared access to them. I can talk to it. They set us up with a shared vault, but it doesn’t have you all in it. I’ll so I can go back to them. If we need that
59 00:05:56.830 ⇒ 00:06:00.930 Uttam Kumaran: Yeah, that’s that that’s on our linear board to do this week. So
60 00:06:00.930 ⇒ 00:06:01.470 Stephane Sol: Okay.
61 00:06:01.470 ⇒ 00:06:13.310 Uttam Kumaran: I think that’s fine. I think that, and confirming the storage integration. But I guess the question is, if there’s any, if there’s anything else. We just have that one ticket on our side. I sort of moved everything else to to canceled for now.
62 00:06:15.130 ⇒ 00:06:17.840 Uttam Kumaran: So we’re kind of just looking to you guys for guidance on
63 00:06:18.090 ⇒ 00:06:20.910 Uttam Kumaran: on work past the user churn stuff
64 00:06:21.410 ⇒ 00:06:26.750 Stephane Sol: Yeah. So we’ll. So I have a little list here. Can I just make an issue for each one, and then we can
65 00:06:27.980 ⇒ 00:06:28.570 Stephane Sol: tweak?
66 00:06:28.710 ⇒ 00:06:30.094 Stephane Sol: I will do that.
67 00:06:30.440 ⇒ 00:06:38.430 Uttam Kumaran: Yeah. And I and I would just just throw it into, like the backlog or the review column. And then we can either talk on, stand up, or
68 00:06:38.540 ⇒ 00:06:44.229 Uttam Kumaran: even better, if you if you record a quick loom or want to do it, Async, we could totally do that, too, and we can just slot it in
69 00:06:45.200 ⇒ 00:06:45.740 Stephane Sol: Cool.
70 00:06:46.670 ⇒ 00:06:52.790 Stephane Sol: We can do that, so I’ll cut those. They’re pretty simple. They’re pretty the things we talk about, secrets, snowflake grants
71 00:06:53.203 ⇒ 00:06:57.679 Stephane Sol: little documentation stuff. But I’ll make issues for each of them, and we can talk about them
72 00:06:58.560 ⇒ 00:07:01.670 Uttam Kumaran: So we already have issues for those 2, for the secrets
73 00:07:02.500 ⇒ 00:07:24.499 Uttam Kumaran: like it’s all it’s all under like there’s a ticket there for migrating a few things. So I don’t think we need additional tickets for those 2. There’s anything else like I don’t know. I guess more like as you guys get more data requirements. You have a sense of like anything else we need to work on there. But I feel like, in terms of the migration stuff. I feel pretty good. But yeah, as anything comes up you can just add it to the backlog. There
74 00:07:25.010 ⇒ 00:07:25.809 Stephane Sol: Sounds good
75 00:07:26.600 ⇒ 00:07:32.720 Alejandro Rojas: I I would say the most. The more urgent thing is like to ensure that whatever metrics we have in Snowflake
76 00:07:33.500 ⇒ 00:07:35.879 Alejandro Rojas: match what we have in barometrics.
77 00:07:36.330 ⇒ 00:07:41.060 Alejandro Rojas: So that that’s the that will be, I think, the in terms of like modeling.
78 00:07:41.930 ⇒ 00:07:44.109 Alejandro Rojas: And if it doesn’t match, why, like
79 00:07:44.110 ⇒ 00:07:45.630 Amber Lin: Figure out? Why
80 00:07:46.280 ⇒ 00:07:48.840 Alejandro Rojas: Yeah, yeah, I guess my question.
81 00:07:48.840 ⇒ 00:07:55.539 Uttam Kumaran: There is is like we’re we’re not actively doing any more discovery there. So I’m sort of following
82 00:07:55.690 ⇒ 00:07:59.259 Uttam Kumaran: y’all’s lead on. If you want us to go investigate
83 00:07:59.420 ⇒ 00:08:05.589 Uttam Kumaran: one or 2 things, I mean, I I thought we had a discussion last week just about sort of the discrepancies, but
84 00:08:05.930 ⇒ 00:08:15.652 Uttam Kumaran: I guess I’m I sort of don’t wanna go further until you guys sort of say, Hey, these 2 are are different. Go investigate and break down. Why,
85 00:08:17.170 ⇒ 00:08:26.789 Uttam Kumaran: like it. Does that make sense? Because I know I don’t want to sort of be in limbo kind of like we. We were basically half halfway done with that. But there was no like final
86 00:08:27.060 ⇒ 00:08:38.570 Uttam Kumaran: sign off, so didn’t know. Like, if that’s going to be you guys, or if if that’s going to be you guys. Then if you can tell us, like, which metrics to focus on, we can go basically produce all the discovery around that
87 00:08:41.429 ⇒ 00:09:01.859 Stephane Sol: I I guess the assumption is if you had done some prior reconciliation work, if you have those notes, we’ll take those. If you don’t have those notes, then we’ll just consider it. Consider it, Greenfield, like there’s no reconciliation, and then we can come up with a list and maybe ask for some help on doing a reconciliation. Does that make sense
88 00:09:01.860 ⇒ 00:09:06.390 Uttam Kumaran: Yeah. So we yeah, we do have some notes, Luke. I I thought you already sent that over
89 00:09:11.230 ⇒ 00:09:20.709 Ryan: Yeah, I think we sent that into the motion document. Like, the notes on how measures are being calculated like Mmr, and stuff like that. So
90 00:09:20.980 ⇒ 00:09:21.780 Uttam Kumaran: But did we send?
91 00:09:21.780 ⇒ 00:09:25.240 Uttam Kumaran: Did we send a reconciliation like exercise that we did
92 00:09:26.230 ⇒ 00:09:28.170 Ryan: Oh, the reconciliation!
93 00:09:29.910 ⇒ 00:09:36.170 Ryan: Yeah, we did. But that wasn’t really there. There was still some discrepancy on that one. So we didn’t really
94 00:09:36.170 ⇒ 00:09:44.359 Uttam Kumaran: I guess. No, no, but what I’m saying is not the fact that we we found the issues we wrote up a document on that right like. Can you share that again?
95 00:09:44.689 ⇒ 00:09:49.730 Uttam Kumaran: Or wherever we have notes on what we discovered in that process that way the team doesn’t have to start over there.
96 00:09:50.416 ⇒ 00:09:56.760 Uttam Kumaran: It’s all in that. It’s all in that linear ticket. But if you can just share that with them and and just make it super clear in slack.
97 00:09:57.000 ⇒ 00:10:04.829 Uttam Kumaran: And then, yeah, we we’ve made some progress already on reconciling for one month, so it’s probably best to just start from from there.
98 00:10:05.272 ⇒ 00:10:08.380 Uttam Kumaran: So, Luke, if you can just send that over and then
99 00:10:08.560 ⇒ 00:10:24.390 Uttam Kumaran: just create a ticket for for handing that over. And then, yeah, basically, I think from there. I think if you guys can take a look at that and tell us what specifically to go focus on, or that’s that along with the the metric definitions should have enough logic to sort of make some decisions
100 00:10:24.800 ⇒ 00:10:25.580 Stephane Sol: Yep, perfect.
101 00:10:26.020 ⇒ 00:10:27.290 Uttam Kumaran: Okay, cool.
102 00:10:30.890 ⇒ 00:10:32.729 Uttam Kumaran: Okay, that’s kind of all I had
103 00:10:36.220 ⇒ 00:10:40.919 Stephane Sol: I think we’re good, Alejandro Mitchell. Anything else you’re aware of.
104 00:10:42.460 ⇒ 00:10:43.329 Stephane Sol: All right.
105 00:10:46.450 ⇒ 00:10:54.149 Amber Lin: Sounds good. So we have the sending the document. And you guys can talk about what was it?
106 00:10:54.480 ⇒ 00:11:00.660 Amber Lin: The the one for the head of the customer service. I think that’s the that’s the few things that we want to do
107 00:11:01.410 ⇒ 00:11:01.900 Stephane Sol: Sounds good.
108 00:11:01.900 ⇒ 00:11:13.003 Stephane Sol: And and I’ll open up issues when necessary, and if it feels like looms are welcomed if additional detail is needed, so I’ll be sure to add some stuff there.
109 00:11:14.170 ⇒ 00:11:14.670 Amber Lin: Cool.
110 00:11:14.670 ⇒ 00:11:21.530 Amber Lin: great. Just feel free to add tickets, assign it to us. At due dates, and we’ll talk. We’ll definitely go over them and stand ups
111 00:11:21.670 ⇒ 00:11:22.420 Amber Lin: so
112 00:11:22.660 ⇒ 00:11:23.520 Stephane Sol: Sounds good
113 00:11:23.520 ⇒ 00:11:25.179 Amber Lin: Alright. Thank you. Guys.
114 00:11:26.020 ⇒ 00:11:26.606 Uttam Kumaran: Thank you.
115 00:11:26.900 ⇒ 00:11:27.710 Amber Lin: Bye.