Meeting Title: MatterMore | internal Standup Date: 2025-07-07 Meeting participants: Amber Lin, Annie Yu, Ryan Luke Daque
WEBVTT
1 00:01:46.070 ⇒ 00:01:47.440 Amber Lin: Hi.
2 00:01:48.650 ⇒ 00:01:49.750 Annie Yu: Hello, Amber!
3 00:01:49.890 ⇒ 00:01:51.190 Amber Lin: Welcome back!
4 00:01:51.560 ⇒ 00:01:55.730 Annie Yu: Thank you. Trying to catch up on everything.
5 00:01:56.020 ⇒ 00:02:02.280 Amber Lin: I know I I rolled out of bed this morning, and I was like, Oh, gosh! It’s so early.
6 00:02:03.890 ⇒ 00:02:06.230 Annie Yu: Did you take the Friday off.
7 00:02:07.277 ⇒ 00:02:12.529 Amber Lin: Yes, which also means I’m even more not used to work.
8 00:02:14.278 ⇒ 00:02:17.770 Annie Yu: Where did you go for your vacation?
9 00:02:18.502 ⇒ 00:02:19.790 Annie Yu: I went to Spain.
10 00:02:20.590 ⇒ 00:02:22.190 Amber Lin: Oh, wow!
11 00:02:22.340 ⇒ 00:02:25.609 Annie Yu: It was nice to take some time off.
12 00:02:25.920 ⇒ 00:02:27.945 Amber Lin: I’m very jealous.
13 00:02:29.580 ⇒ 00:02:32.200 Annie Yu: I actually met Kyle there, too.
14 00:02:32.200 ⇒ 00:02:33.100 Amber Lin: What?
15 00:02:33.100 ⇒ 00:02:37.660 Annie Yu: No, because I went to Barcelona as well, and he goes there.
16 00:02:37.830 ⇒ 00:02:39.500 Amber Lin: That’s crazy.
17 00:02:39.680 ⇒ 00:02:42.517 Annie Yu: Yeah, it was. It was cool.
18 00:02:43.510 ⇒ 00:02:44.510 Amber Lin: Wow.
19 00:02:44.770 ⇒ 00:02:59.089 Amber Lin: yeah, I I mean for madam More, I I just wanted to update you on a progress for madam more, it’s ending. So we’re currently just doing some handoff stuff. Luke was able to do a bit of power bi work
20 00:02:59.808 ⇒ 00:03:11.219 Amber Lin: because they had some extra requests. So we’re able to do that, I think right now we’re just creating any documentation that’s left. Probably a short video to walk through
21 00:03:12.055 ⇒ 00:03:14.380 Amber Lin: to walk through the dashboard
22 00:03:14.530 ⇒ 00:03:33.979 Amber Lin: for them. Other than that, I think all the other documentation we we do have all of them. And if it’s documentation on the data side, Luke will handle that. So probably the only thing would be to do a power bi walk through like a short video to walk them through that.
23 00:03:34.210 ⇒ 00:03:37.259 Amber Lin: And in terms of ABC.
24 00:03:37.630 ⇒ 00:03:42.990 Amber Lin: Luke, and a wish is setting up the data pipeline so.
25 00:03:42.990 ⇒ 00:03:45.150 Annie Yu: Are we? Are you talking about? ABC.
26 00:03:45.576 ⇒ 00:03:46.430 Amber Lin: Yes. Cause.
27 00:03:46.430 ⇒ 00:03:46.750 Annie Yu: Okay.
28 00:03:46.750 ⇒ 00:03:47.380 Amber Lin: It’s the same.
29 00:03:47.380 ⇒ 00:03:50.620 Annie Yu: No, no, go ahead, that’s that’s all. Good.
30 00:03:50.620 ⇒ 00:04:00.119 Amber Lin: Yeah. And then for ABC, I’m asking them to set up the pipeline so you can do the dashboard stuff. I I haven’t heard back from Luke
31 00:04:00.400 ⇒ 00:04:16.100 Amber Lin: on setting up the pipelines. But setting up the data because we have all the a wish, put all the data in S. 3. And right now. Luke needs to put it in real, so that you have access to it. I don’t think it’s
32 00:04:16.269 ⇒ 00:04:17.740 Amber Lin: I don’t think it’s ready yet.
33 00:04:18.838 ⇒ 00:04:33.190 Annie Yu: Do we want a brand new dashboard, or we just try to use all the extra data fields that we have now, and build upon the the existing dashboards.
34 00:04:33.190 ⇒ 00:04:38.650 Amber Lin: What would be the easier for you, cause I can’t just say anything, but then you have to do the work and
35 00:04:39.180 ⇒ 00:04:42.499 Amber Lin: just tell me which one might be easiest for you to do.
36 00:04:42.620 ⇒ 00:04:49.560 Annie Yu: I guess one question I do have, for I guess this is for Luke is, I don’t know
37 00:04:49.690 ⇒ 00:04:53.660 Annie Yu: until like which which
38 00:04:53.890 ⇒ 00:05:00.880 Annie Yu: stage of the lineage he will work on. Does that make sense? I will cause the lineage looks like.
39 00:05:00.880 ⇒ 00:05:01.500 Amber Lin: Hmm.
40 00:05:01.500 ⇒ 00:05:06.020 Annie Yu: Source and then model, and then metrics.
41 00:05:07.200 ⇒ 00:05:19.490 Annie Yu: So if he just build, let’s say all the models that means I still have to build the metrics using yaml code. So I I’m just not sure.
42 00:05:19.490 ⇒ 00:05:20.090 Amber Lin: Hmm.
43 00:05:21.053 ⇒ 00:05:25.829 Annie Yu: When he’ll stop. Does that make sense? But.
44 00:05:25.830 ⇒ 00:05:27.129 Amber Lin: I see, I see, I.
45 00:05:27.130 ⇒ 00:05:28.889 Annie Yu: That’s something that we can ask him.
46 00:05:28.890 ⇒ 00:05:30.020 Amber Lin: To do.
47 00:05:30.020 ⇒ 00:05:36.540 Annie Yu: Okay. But yeah, with any new models, we will have to build new metrics, anyway.
48 00:05:38.540 ⇒ 00:05:41.490 Annie Yu: so yeah, that’s 1 thing to
49 00:05:43.080 ⇒ 00:05:46.939 Annie Yu: to note. I’m just not sure if that’s there.
50 00:05:47.330 ⇒ 00:05:49.970 Annie Yu: because I don’t really know what Dvt. Looks like. But.
51 00:05:50.040 ⇒ 00:05:51.510 Amber Lin: Yeah, I see.
52 00:05:51.510 ⇒ 00:05:54.889 Annie Yu: It looks just exactly like Dbt, so maybe they.
53 00:05:55.360 ⇒ 00:05:59.429 Annie Yu: But I don’t. I also don’t know if they they do write those metrics.
54 00:05:59.730 ⇒ 00:06:01.950 Annie Yu: Yeah, more code. And Dvt.
55 00:06:02.318 ⇒ 00:06:14.470 Amber Lin: Okay, okay. So I’ll take note of your questions I’m waiting for. I’m waiting to meet with them. I think they might be busy. But I want to talk to them about this.
56 00:06:14.840 ⇒ 00:06:30.800 Amber Lin: and hopefully, I can get some information. And by tomorrow’s ABC. Stand up, which I think you should be invited, but tomorrow’s Nope. You are not invited. Let me add you to the stand up just in case.
57 00:06:30.950 ⇒ 00:06:39.130 Annie Yu: And is this I expect that the new models will look very much alike.
58 00:06:41.090 ⇒ 00:06:43.310 Annie Yu: The models I built in real.
59 00:06:44.362 ⇒ 00:06:54.670 Amber Lin: I think that’s a reasonable expectation to have, but I do think you might need to explain that to Luke more like clearly, so that
60 00:06:54.790 ⇒ 00:06:55.460 Amber Lin: it
61 00:06:55.850 ⇒ 00:07:05.540 Amber Lin: like I can make sure that he asks you when he builds the models. But for a specific like how the models are built, he might have questions he has to ask you.
62 00:07:06.870 ⇒ 00:07:15.612 Annie Yu: Okay, yeah, yeah, that makes sense. And yeah, even with the new kind of the extra fields that I requested.
63 00:07:16.320 ⇒ 00:07:27.679 Annie Yu: with our like, let’s say, what’s that? 8 by 8, I think honestly, what we will have will still be kind of similar to what what Brian
64 00:07:27.800 ⇒ 00:07:29.040 Annie Yu: gave us.
65 00:07:31.110 ⇒ 00:07:34.290 Annie Yu: So. So what that means is, I think it’s
66 00:07:34.460 ⇒ 00:07:40.279 Annie Yu: we don’t really have to have a brand new dashboard. But then but then
67 00:07:41.330 ⇒ 00:07:48.499 Annie Yu: wait. Jk, I let me take that back just because we will have new models and new metrics.
68 00:07:48.850 ⇒ 00:07:49.500 Amber Lin: Okay.
69 00:07:50.023 ⇒ 00:07:55.460 Annie Yu: We will still have a new dashboard, but then we can face out the previous one.
70 00:07:55.460 ⇒ 00:08:03.799 Amber Lin: Okay, sounds good. I mean, there’s only us and the trainers like looks at that. Looks at that so like feel free to do whatever you want.
71 00:08:04.427 ⇒ 00:08:06.440 Amber Lin: I’ll just tell them what we do.
72 00:08:06.850 ⇒ 00:08:07.590 Annie Yu: Okay.
73 00:08:07.790 ⇒ 00:08:08.320 Amber Lin: Yeah.
74 00:08:08.550 ⇒ 00:08:16.079 Amber Lin: sounds good. I’ll try to get. I’ll try to get a hold of them. I do want that to get done soon. So hopefully. I give that. I don’t think
75 00:08:16.220 ⇒ 00:08:25.310 Amber Lin: we’ll be able to finish it by by end of this week, but I’ll at least want them to give you the data so you can look at what you have.
76 00:08:25.864 ⇒ 00:08:29.179 Amber Lin: So I’ll I’ll ask them about that later.
77 00:08:29.580 ⇒ 00:08:31.610 Annie Yu: Yeah, yeah, yeah, sure, I think it’s
78 00:08:31.760 ⇒ 00:08:49.410 Annie Yu: it’ll be good if I can look at the granularity, too. Because, remember, when Brian gave us, I I remember he gave us 2 version, and I now understand why there are 2 versions, because one is for each call, and we have to start time and time, and then the other one is more so like aggregated for each
79 00:08:49.760 ⇒ 00:09:01.490 Annie Yu: agent. What’s their time and all that? So I would love to have the the the most granular one, the version one with every with each call, and start.
80 00:09:01.490 ⇒ 00:09:05.130 Amber Lin: One time. Okay, okay. Sounds good.
81 00:09:06.232 ⇒ 00:09:07.860 Amber Lin: Oh, Hi Luke.
82 00:09:08.410 ⇒ 00:09:13.890 Ryan Luke Daque: Hi, guys, sorry I missed this. I thought we weren’t like doing the meetings for bathroom or anything.
83 00:09:13.890 ⇒ 00:09:17.929 Amber Lin: Oh, sorry I was. We’re talking about ABC right now. So you are.
84 00:09:17.930 ⇒ 00:09:18.260 Ryan Luke Daque: I see.
85 00:09:18.260 ⇒ 00:09:19.220 Amber Lin: Correct.
86 00:09:19.440 ⇒ 00:09:24.500 Amber Lin: Yeah, I I should change the meeting name. So let me
87 00:09:25.159 ⇒ 00:09:42.669 Amber Lin: actually. So for matter more, it’s just finishing up the documentation which I think we’re pretty much done I don’t know. Look, if you had a chance to record a video on the walking through the data sheet.
88 00:09:42.940 ⇒ 00:09:44.490 Amber Lin: were you able to do that.
89 00:09:44.490 ⇒ 00:09:47.900 Ryan Luke Daque: Oh, yeah, I haven’t yet. I’m sorry. I forgot.
90 00:09:47.900 ⇒ 00:09:51.849 Amber Lin: That’s okay. That’s okay. That’s okay. And I mean.
91 00:09:53.010 ⇒ 00:09:57.319 Amber Lin: maybe Annie could help walk them through the power Bi dashboard
92 00:09:57.550 ⇒ 00:10:01.419 Amber Lin: or Luca. I’ll I’ll let you decide if
93 00:10:02.090 ⇒ 00:10:04.489 Amber Lin: how you guys want to split that task.
94 00:10:06.710 ⇒ 00:10:13.360 Amber Lin: I think honestly, I really think the dashboard is pretty self explanatory, but
95 00:10:14.080 ⇒ 00:10:16.850 Amber Lin: like we can record it really quick video
96 00:10:17.150 ⇒ 00:10:23.889 Amber Lin: how they can use it. Maybe, Luke, you can just take those 2 tasks and we’ll finish up matter more.
97 00:10:24.900 ⇒ 00:10:31.369 Amber Lin: And yeah, and well, we were. I was just talking about ABC with Annie.
98 00:10:31.570 ⇒ 00:10:39.890 Amber Lin: and I just wanted to quickly check on what’s the progress of the data? Do we have all the S 3 data in real.
99 00:10:44.160 ⇒ 00:10:50.019 Ryan Luke Daque: No, I haven’t yet. So the yeah, I did try to do that last Friday, but I did.
100 00:10:50.670 ⇒ 00:10:54.369 Ryan Luke Daque: My access to Snowflake got like blocked. So.
101 00:10:54.370 ⇒ 00:10:54.780 Amber Lin: Hmm.
102 00:10:54.780 ⇒ 00:11:00.929 Ryan Luke Daque: I needed a wish, or will come to reset my password.
103 00:11:01.110 ⇒ 00:11:02.070 Amber Lin: Hmm, okay.
104 00:11:02.070 ⇒ 00:11:06.316 Ryan Luke Daque: Yeah, they were off. So let me try to ask them again.
105 00:11:08.820 ⇒ 00:11:12.730 Ryan Luke Daque: And I think, yeah, I’ll have to check why.
106 00:11:12.870 ⇒ 00:11:18.089 Ryan Luke Daque: the data is like, not refreshing. Like, you mentioned, okay?
107 00:11:18.090 ⇒ 00:11:18.700 Ryan Luke Daque: So, yeah.
108 00:11:18.970 ⇒ 00:11:24.889 Amber Lin: Sounds good, I think. Let me quickly share screen. I will move this task.
109 00:11:25.638 ⇒ 00:11:31.769 Amber Lin: So I’ll move this task from you to Annie. I think it will make
110 00:11:32.130 ⇒ 00:11:36.630 Amber Lin: it will be a better distribution of of time.
111 00:11:37.535 ⇒ 00:11:39.910 Amber Lin: I think, as long as
112 00:11:40.050 ⇒ 00:12:02.339 Amber Lin: you’re able to ensure that Annie can see the data in real. I think that will be that’ll be awesome. And then, once Annie explores that, she can tell you what kind of model she might need, and how she might want the data to look like I don’t really know what goes into that. But I think if we divide the task this way. It’ll be easier for both of you.
113 00:12:03.890 ⇒ 00:12:05.180 Ryan Luke Daque: Yeah, sure.
114 00:12:05.560 ⇒ 00:12:06.100 Amber Lin: Okay.
115 00:12:09.110 ⇒ 00:12:15.020 Amber Lin: I wanted to check with a wish how that, how the S. 3 data to will
116 00:12:15.190 ⇒ 00:12:20.069 Amber Lin: would look like as I really want that to be available soon, he said. It would take
117 00:12:20.290 ⇒ 00:12:29.089 Amber Lin: short amount of time, but I don’t think it’s taking that short, so let’s confirm with him again and try to get or try to get this done soon.
118 00:12:29.990 ⇒ 00:12:30.770 Ryan Luke Daque: Yeah.
119 00:12:30.770 ⇒ 00:12:36.800 Amber Lin: Okay, yeah. I think that’s that’s everything. We’ll talk again tomorrow
120 00:12:37.160 ⇒ 00:12:40.320 Amber Lin: on the dashboard stuff to see if there’s any progress.
121 00:12:40.880 ⇒ 00:12:42.519 Amber Lin: I mean, that’s all from me.
122 00:12:43.700 ⇒ 00:12:44.180 Annie Yu: Okay.
123 00:12:44.180 ⇒ 00:12:44.890 Ryan Luke Daque: That’s good.
124 00:12:45.120 ⇒ 00:12:45.810 Amber Lin: Okay.
125 00:12:46.420 ⇒ 00:12:47.320 Ryan Luke Daque: Thanks thanks guys.
126 00:12:47.320 ⇒ 00:12:48.060 Amber Lin: Awesome.
127 00:12:48.060 ⇒ 00:12:48.740 Annie Yu: Cool.
128 00:12:48.740 ⇒ 00:12:49.280 Amber Lin: Yeah.
129 00:12:49.500 ⇒ 00:12:57.669 Amber Lin: I’ll check in tomorrow if we get all the matter more off boarding stuff done by tomorrow. I can cancel all the
130 00:12:57.910 ⇒ 00:12:59.610 Amber Lin: stand-ups. After that.
131 00:13:01.480 ⇒ 00:13:02.510 Ryan Luke Daque: Sounds good.
132 00:13:02.690 ⇒ 00:13:03.410 Amber Lin: Okay.
133 00:13:04.180 ⇒ 00:13:06.009 Amber Lin: Bye, all. Thank you. Guys.
134 00:13:06.010 ⇒ 00:13:06.700 Ryan Luke Daque: Hold on!
135 00:13:07.090 ⇒ 00:13:08.020 Amber Lin: Bye.