Meeting Title: UrbanStems | Phase 2 Kickoff Date: 2025-05-27 Meeting participants: Uttam Kumaran, Amber Lin, Emily Giant, Demilade Agboola, Zack Gibbs, Caio Velasco
WEBVTT
1 00:00:18.100 ⇒ 00:00:19.310 Uttam Kumaran: Hello!
2 00:00:19.950 ⇒ 00:00:21.549 Emily Giant: Hi! How are you?
3 00:00:22.090 ⇒ 00:00:24.300 Uttam Kumaran: Good long time. How’s everything?
4 00:00:24.300 ⇒ 00:00:28.949 Emily Giant: Cool. It was like really hot and heavy there for a second during mother’s day.
5 00:00:28.950 ⇒ 00:00:30.650 Uttam Kumaran: It was, it was.
6 00:00:31.130 ⇒ 00:00:33.000 Emily Giant: A chance to breathe.
7 00:00:35.500 ⇒ 00:00:36.790 Uttam Kumaran: Yeah, I feel.
8 00:00:36.960 ⇒ 00:00:41.160 Emily Giant: Again. So so that’s good. Did you have a good Memorial Day weekend.
9 00:00:42.040 ⇒ 00:00:48.600 Uttam Kumaran: Yes, I actually was on vacation last week in Argentina.
10 00:00:50.150 ⇒ 00:00:53.130 Uttam Kumaran: But that was really nice. Just like back half of the week.
11 00:00:53.620 ⇒ 00:00:57.720 Uttam Kumaran: 1st vacation in a while. So that was really really nice.
12 00:00:59.351 ⇒ 00:01:04.410 Emily Giant: Did you eat a ton of steak? I feel like that’s when I think.
13 00:01:04.410 ⇒ 00:01:05.370 Uttam Kumaran: Steak.
14 00:01:05.379 ⇒ 00:01:06.779 Emily Giant: Tango, and.
15 00:01:06.780 ⇒ 00:01:07.660 Uttam Kumaran: Back.
16 00:01:07.940 ⇒ 00:01:09.540 Uttam Kumaran: Went to a wedding
17 00:01:10.540 ⇒ 00:01:11.620 Emily Giant: Oh, wow!
18 00:01:12.070 ⇒ 00:01:13.759 Uttam Kumaran: It was good it was, it was
19 00:01:14.070 ⇒ 00:01:17.520 Uttam Kumaran: if they live very slowly, though, so you know, it’s not like to.
20 00:01:17.730 ⇒ 00:01:21.040 Uttam Kumaran: Not too fast moving. But it was. It was nice.
21 00:01:22.820 ⇒ 00:01:23.259 Emily Giant: If you.
22 00:01:23.260 ⇒ 00:01:24.410 Zack Gibbs: Where’d you go in Argentina?
23 00:01:25.448 ⇒ 00:01:35.290 Uttam Kumaran: Went to Mendoza for a few days, which is like sort of like wine country, and then was in Buenos Aires for about a day and a half
24 00:01:35.430 ⇒ 00:01:37.000 Uttam Kumaran: for for a wedding.
25 00:01:37.050 ⇒ 00:01:37.990 Zack Gibbs: Awesome.
26 00:01:39.070 ⇒ 00:01:48.259 Emily Giant: That’s a tall order for a destination wedding. If it was a destination wedding if they lived there, it makes sense. But that is not close.
27 00:01:51.220 ⇒ 00:01:52.039 Uttam Kumaran: Yeah.
28 00:01:53.000 ⇒ 00:01:57.750 Uttam Kumaran: it was. It was. It’s nice to just I was. I’ve been in Austin like for the last like.
29 00:01:59.100 ⇒ 00:01:59.820 Uttam Kumaran: oh.
30 00:02:03.760 ⇒ 00:02:05.410 Emily Giant: You’re breaking up a little bit.
31 00:02:12.920 ⇒ 00:02:14.590 Emily Giant: I think we’ve lost you, Tom.
32 00:02:14.960 ⇒ 00:02:18.169 Amber Lin: Probably his audio was not working earlier as well.
33 00:02:18.170 ⇒ 00:02:19.170 Emily Giant: Oh, cute. Okay.
34 00:02:19.170 ⇒ 00:02:20.679 Amber Lin: Nice to see you guys.
35 00:02:20.680 ⇒ 00:02:22.139 Emily Giant: You too amber.
36 00:02:22.260 ⇒ 00:02:26.907 Amber Lin: Yeah. You know what Utah was away. I was. I was at his house.
37 00:02:27.240 ⇒ 00:02:28.160 Emily Giant: Really.
38 00:02:28.160 ⇒ 00:02:33.410 Amber Lin: Yeah. So I had a vacation, not vacation, a work trip to Austin.
39 00:02:33.910 ⇒ 00:02:35.800 Emily Giant: Oh, nice! Did you take care of his dog?
40 00:02:35.800 ⇒ 00:02:36.460 Amber Lin: Yeah.
41 00:02:36.670 ⇒ 00:02:38.870 Amber Lin: Yeah. No. His plans.
42 00:02:39.530 ⇒ 00:02:40.150 Emily Giant: Oh!
43 00:02:40.150 ⇒ 00:02:46.230 Amber Lin: His dog was at his partner’s parents. Place very cool.
44 00:02:47.270 ⇒ 00:02:56.509 Amber Lin: Okay, I sent a little agenda in our channel, so I want us to.
45 00:02:57.720 ⇒ 00:03:01.659 Amber Lin: 1st of all, I want to introduce Kyle, so
46 00:03:02.150 ⇒ 00:03:24.779 Amber Lin: I I introduce him a little bit in our channel. But Kyle’s a very, very talented analytics and engineer, and especially right now, he’s working on our internal data platform stuff. So a lot of how we structure things, how we structure documentation. So, Kyle, I’ll let you introduce yourself a little bit, and he’ll be working with us from now on.
47 00:03:25.130 ⇒ 00:03:25.830 Caio Velasco: Perfect.
48 00:03:26.220 ⇒ 00:03:38.790 Caio Velasco: Thank you. Thank you. Amber. So nice to meet you. I started Brainforge 4, 5 months ago. So it’s been quite a journey. Really nice learning a lot of things.
49 00:03:39.253 ⇒ 00:04:01.400 Caio Velasco: Doing more analytics, engineering work have done a bit of data engineering also in the past. And as Amber mentioned all about documentation organization, I really like to keep everything organized and and understand that you guys are doing like a lot of work. Now that used to be organized, unified, standardized, so happy to to help with that
50 00:04:01.970 ⇒ 00:04:02.660 Caio Velasco: nice.
51 00:04:04.620 ⇒ 00:04:05.649 Zack Gibbs: Nice to meet you.
52 00:04:05.910 ⇒ 00:04:06.790 Caio Velasco: Nice to meet you.
53 00:04:08.500 ⇒ 00:04:11.090 Zack Gibbs: You’re in. You’re in Barcelona.
54 00:04:11.090 ⇒ 00:04:24.299 Caio Velasco: Yes, I’m in Barcelona, Spain, but I’ve been all over also in the Us. And but I’m Brazilian originally from Rio Janeiro, basically all my life over there. Then I started to to move around a bit.
55 00:04:26.110 ⇒ 00:04:26.630 Zack Gibbs: Nice. Yeah.
56 00:04:26.630 ⇒ 00:04:29.429 Uttam Kumaran: Kai Kai was at Ucla for a bit as well.
57 00:04:30.110 ⇒ 00:04:32.629 Caio Velasco: Oh, yeah, that’s where I did, my master. Yes.
58 00:04:35.280 ⇒ 00:04:35.810 Uttam Kumaran: Jealous!
59 00:04:36.100 ⇒ 00:04:36.600 Emily Giant: Yeah.
60 00:04:39.890 ⇒ 00:04:45.370 Zack Gibbs: Not a bad, not a bad school to to go to and spend time.
61 00:04:48.262 ⇒ 00:05:06.767 Amber Lin: Next, I think before we talk about the tickets and what exactly we’re gonna do. I want us to align on the expectations for this partnership, and especially Zack. I wanted to ask you what you want to see out of this. I asked Utah. Already I got some parts on
62 00:05:07.300 ⇒ 00:05:16.849 Amber Lin: alright internal part expectations. But I want to hear from you. Of what do you expect this to be, and just what you want to see, and what defines success for us?
63 00:05:18.520 ⇒ 00:05:21.799 Zack Gibbs: Yeah, I mean, I think that you know we should.
64 00:05:21.970 ⇒ 00:05:40.872 Zack Gibbs: We should all start breaking down. You know the we have the the rough sprint cycles. In the notion, Doc, but I’d like to start breaking that, you know, breaking that down. Assign that out, you know, making sure that we understand what we’re responsible for, what you guys are taking a lead on
65 00:05:41.360 ⇒ 00:05:45.770 Zack Gibbs: and you know everybody internally
66 00:05:45.780 ⇒ 00:06:04.891 Zack Gibbs: to, you know, on our side, from our, you know, executive team, the different business. You know, business lead areas. They’re excited for us to make some big changes here. And this is the right time to make those changes being the summer but I do want to move fast and you know, show progress. I think that’s gonna be really helpful.
67 00:06:05.190 ⇒ 00:06:17.309 Zack Gibbs: as we as we go forward. You know, gain confidence. I know that you guys have been operating more in a kind of a maintenance maintenance mode helping us tactically support stuff. And you know, I really want to start.
68 00:06:17.410 ⇒ 00:06:23.457 Zack Gibbs: really want to start moving on, you know, making some of the larger infrastructure level changes that we know we need to make.
69 00:06:24.320 ⇒ 00:06:30.759 Zack Gibbs: So yeah, my, my goal very much is, let’s let’s start building out, you know, building out the sprints.
70 00:06:31.179 ⇒ 00:06:44.260 Zack Gibbs: We have to. Let’s align on what tools we’re using. There for visibility. You know. And then I’d like to obviously align on like, what is our cadence as a team? You know. What are we doing from a
71 00:06:44.750 ⇒ 00:07:04.029 Zack Gibbs: from planning perspective, you know, if are we? You know? What are we doing in grooming? Do we do retros together or not? What is you know? What a stand up, look like? Do we do a state daily stand up, do we? Do? A, you know, 3 times a week. Stand up, you know. What does that cadence look like? I like to get all that kind of set up, set up and understood today as a team.
72 00:07:05.590 ⇒ 00:07:30.939 Amber Lin: Yeah, sounds great. That’s really great to hear. I think we’re aligned on our priorities. And the next part, actually, I want to talk about. So I got in some initial tickets in linear. That’s usually what we use. We will love for for us to just use the linear. I can invite you guys in there. I can show you what it looks like. And then we can talk about the different meeting cadences.
73 00:07:32.540 ⇒ 00:07:35.279 Amber Lin: Yeah, let me pull up linear, real quick.
74 00:07:50.770 ⇒ 00:07:51.450 Amber Lin: Hmm!
75 00:07:56.020 ⇒ 00:08:15.529 Amber Lin: It’s not showing up on my end. I’ll show you guys later. Let’s talk about the meeting cadences. So we plan to have daily stand ups, and we have rooming, planning, and retro like these. 3 events happens every 2 weeks. So our sprint cycle is 2 weeks, and we would love for you guys to come to
76 00:08:15.930 ⇒ 00:08:36.650 Amber Lin: all of them, if possible, I think, in, especially in stand-ups. It will really help us make sure that every day we’re working on something that’s directly aligned that. And then we don’t diverge on any pass. And so we would love to see when you guys are available, and who would be available to attend these rituals.
77 00:08:38.400 ⇒ 00:08:39.110 Zack Gibbs: Gotcha.
78 00:08:42.340 ⇒ 00:08:48.899 Emily Giant: On a daily basis. But I know that the Zach and Alex have more commitments
79 00:08:49.600 ⇒ 00:08:51.679 Emily Giant: on their calendar on a daily basis.
80 00:08:55.080 ⇒ 00:09:00.249 Zack Gibbs: Yeah. So when when would? When? When does the 2 week sprint kick off?
81 00:09:00.450 ⇒ 00:09:01.370 Zack Gibbs: Typically.
82 00:09:02.460 ⇒ 00:09:07.270 Zack Gibbs: That like today? Does it take off on Mondays? What does that cycle look like for you guys.
83 00:09:07.270 ⇒ 00:09:20.439 Amber Lin: I would say we should pick sometime between Tuesday and Thursday. We’ll want to pick some time that works best for you my calendar is relatively probably more open than yours.
84 00:09:20.560 ⇒ 00:09:29.230 Amber Lin: and we’ll have daily stand ups. I think Emily will join. And, Zack, maybe you join every 2 to 3 stand ups every week.
85 00:09:29.705 ⇒ 00:09:52.180 Amber Lin: We also have a weekly update that we do for clients. So at Thursday every week, we update we update, you guys on. Okay, what has been the progress? What has been the impact? What we plan to do for the next steps? And if if there is any insights that we can draw from, and we also present that in Thursday meeting so
86 00:09:52.710 ⇒ 00:09:57.619 Amber Lin: quite a few events. And I and right now I want to see, like what you can attend.
87 00:09:58.970 ⇒ 00:10:05.689 Zack Gibbs: Yeah, our our sprint cycles. We start a new sprint on Tuesdays.
88 00:10:06.240 ⇒ 00:10:12.759 Zack Gibbs: And so we have. We have one more week in our current sprint. Is that right?
89 00:10:14.990 ⇒ 00:10:17.429 Uttam Kumaran: So you guys start on this coming Tuesday.
90 00:10:20.400 ⇒ 00:10:26.610 Zack Gibbs: Yeah. So so we we kick off. Yeah, we kick off our next sprint on.
91 00:10:27.480 ⇒ 00:10:29.492 Zack Gibbs: you know, a week from today. Basically
92 00:10:32.100 ⇒ 00:10:35.247 Zack Gibbs: So it doesn’t matter if they’re on the same cycle or not.
93 00:10:36.110 ⇒ 00:10:52.720 Zack Gibbs: I think that’s fine, like the the release kit. It’s less it matters less. It would just be like, I ideal, if we were on the same cycle. But we’re not that. That’s fine. I guess I would prefer just for simplicity sake, because we are on on Tuesday like that, we start
94 00:10:53.130 ⇒ 00:10:59.630 Zack Gibbs: start the sprint today, if we can or to or tomorrow.
95 00:11:00.840 ⇒ 00:11:05.590 Zack Gibbs: that way. We, you know, we kind of quickly align around what the priorities are. We can do.
96 00:11:06.797 ⇒ 00:11:09.409 Zack Gibbs: You get the. If there’s grooming that needs to be done.
97 00:11:09.886 ⇒ 00:11:16.033 Zack Gibbs: Then we can. We can do that kind of in parallel. And this this, like 1st sprint, could be a little messier. That’s fine.
98 00:11:16.290 ⇒ 00:11:24.659 Amber Lin: Yeah. Yeah. And eventually we should have plannings on Tuesday to kick off the sprint. So it’s the same day for you to remember.
99 00:11:25.340 ⇒ 00:11:25.675 Zack Gibbs: Okay.
100 00:11:26.340 ⇒ 00:11:34.280 Zack Gibbs: So yeah, my, my request is either like, like, let’s kick off the sprint either today or tomorrow. And then
101 00:11:34.840 ⇒ 00:11:39.269 Zack Gibbs: we’ll look to you guys of like, how you wanna how you want to kick that off
102 00:11:39.530 ⇒ 00:11:40.330 Amber Lin: Totally.
103 00:11:44.940 ⇒ 00:11:55.830 Amber Lin: There’s a little bit of grooming to be done, and once we do that we can assign the tickets, I think everybody’s pretty much caught up to speed, and we’ll be able to start pretty quickly.
104 00:11:57.620 ⇒ 00:12:02.223 Zack Gibbs: Okay, so let’s go down. Let’s just go down the ceremony list of stand ups
105 00:12:03.440 ⇒ 00:12:04.059 Amber Lin: What time was?
106 00:12:04.060 ⇒ 00:12:07.330 Zack Gibbs: But yeah,
107 00:12:10.150 ⇒ 00:12:25.430 Amber Lin: Generally for us. We would prefer it to be in the morning. Because our team is based in different time zones and usually morning is, they’re still their working hours. So I was wondering if that would work for you guys.
108 00:12:26.250 ⇒ 00:12:35.049 Zack Gibbs: Yeah. So we have a team. We have a team stand up every morning at it’s 10 am. Eastern Eastern time.
109 00:12:35.300 ⇒ 00:12:39.581 Zack Gibbs: So ideally. We would do this like right after that.
110 00:12:40.010 ⇒ 00:12:41.030 Amber Lin: Poor job!
111 00:12:42.770 ⇒ 00:12:47.177 Zack Gibbs: So that is that stand up is 30 min because we have. We go through a bunch of stuff
112 00:12:47.840 ⇒ 00:12:53.910 Zack Gibbs: in terms of duration of stand up. What do you guys typically do? Do 1515 min. What is the what is the.
113 00:12:54.110 ⇒ 00:13:02.030 Amber Lin: We usually aim for 15 min. Yes. So if there’s any particular thing that we need to discuss, we can have individual meetings afterwards.
114 00:13:02.750 ⇒ 00:13:10.389 Zack Gibbs: Okay? So yeah. The idle block for daily stand up would then be 1030 to 1045.
115 00:13:10.390 ⇒ 00:13:13.270 Amber Lin: 40, yeah, 1045, Eastern time.
116 00:13:16.070 ⇒ 00:13:29.799 Amber Lin: Fantastic. I’ll send that invite. I’ll include you, and perhaps you, Emily, and perhaps Alex, as option, Alex as optional. I’ll add Utam also as optional. So you guys can hop in.
117 00:13:30.200 ⇒ 00:13:31.230 Amber Lin: You want.
118 00:13:32.630 ⇒ 00:13:34.798 Uttam Kumaran: Yeah, I think the one, the one thing,
119 00:13:35.180 ⇒ 00:13:48.600 Uttam Kumaran: Zack, that we typically do that, I think, is probably a little bit different, just because we’re, you know, on the other side is we try to do like on Thursdays every week. Just give like a 1 slide or a 2 slide like, hey? Here’s everything that got done.
120 00:13:49.080 ⇒ 00:13:50.600 Uttam Kumaran: Maybe we can aim
121 00:13:50.910 ⇒ 00:13:59.607 Uttam Kumaran: to do that like as like 1 30 min meeting every week, and then, if it ends up being too much weekly. We can aim for bi-weekly.
122 00:14:00.070 ⇒ 00:14:04.400 Uttam Kumaran: I mean, the the tickets will hopefully speak for themselves. But I think it’s helpful just to have that
123 00:14:04.630 ⇒ 00:14:10.130 Uttam Kumaran: sort of cadence. It’s not so much like a retro. It’s more just like.
124 00:14:10.490 ⇒ 00:14:18.839 Uttam Kumaran: here’s a quick 2 things that like, here’s what we did. Here’s what’s coming up any questions or help outside of almost stand up stuff that we need.
125 00:14:18.840 ⇒ 00:14:26.119 Amber Lin: And if we want any other business stakeholders in the company to catch up. And okay, what are we doing? That will be a great time for them to join, as well.
126 00:14:28.440 ⇒ 00:14:35.940 Zack Gibbs: So is this a, is this a meeting? Update? Or is this just a like a slide or 2 inside of the the Brainforge Channel?
127 00:14:37.099 ⇒ 00:14:49.950 Amber Lin: I think it will be best if it’s a meaningful presentation, so that people can ask questions. We can brainstorm together about how we think, what we want to move forward on, especially if there’s other stakeholders involved.
128 00:14:51.060 ⇒ 00:14:51.710 Zack Gibbs: Okay.
129 00:14:53.020 ⇒ 00:14:56.320 Zack Gibbs: So it’s kind of like, just a Thursday status update.
130 00:14:57.140 ⇒ 00:15:00.800 Uttam Kumaran: Yeah, that’s sort of like what you would expect for like a data team update.
131 00:15:04.800 ⇒ 00:15:08.411 Uttam Kumaran: it could be helpful to have the analysts there as well
132 00:15:09.030 ⇒ 00:15:11.320 Uttam Kumaran: or anyone else. That’s that’s that’s interested.
133 00:15:19.670 ⇒ 00:15:20.650 Zack Gibbs: okay.
134 00:15:23.060 ⇒ 00:15:27.280 Uttam Kumaran: And again, if weekly is like too frequent, we can do
135 00:15:27.570 ⇒ 00:15:33.019 Uttam Kumaran: sort of we could do bi-weekly, like the back half of this rent cycle.
136 00:15:36.360 ⇒ 00:15:41.570 Zack Gibbs: Yeah, I think we need to look at calendars. And
137 00:15:42.110 ⇒ 00:15:53.379 Zack Gibbs: come back with a proposal there, like, starting out, starting out weekly is fine. For the broader, broader group. We wouldn’t probably do that
138 00:15:53.490 ⇒ 00:15:54.780 Zack Gibbs: until
139 00:15:55.440 ⇒ 00:16:02.889 Zack Gibbs: we probably wouldn’t do that with the broader group until probably the week of like June, June 12, th
140 00:16:04.350 ⇒ 00:16:08.561 Zack Gibbs: or June 5, th like we’re not gonna do it. We’re gonna do it this week.
141 00:16:09.720 ⇒ 00:16:10.520 Zack Gibbs: So
142 00:16:13.710 ⇒ 00:16:19.190 Zack Gibbs: so we’ll look at calendars, and propose
143 00:16:19.730 ⇒ 00:16:23.060 Zack Gibbs: timer a couple of times that works for.
144 00:16:23.060 ⇒ 00:16:23.380 Amber Lin: Sounds good.
145 00:16:25.010 ⇒ 00:16:30.300 Zack Gibbs: The week of June. Well, I’ll just use the week of June 5th or 12.
146 00:16:31.040 ⇒ 00:16:31.600 Amber Lin: Hmm!
147 00:16:36.220 ⇒ 00:16:40.370 Amber Lin: Sounds good. I wrote that down in terms of
148 00:16:41.760 ⇒ 00:16:44.630 Amber Lin: grooming. We usually do it. Say.
149 00:16:44.900 ⇒ 00:16:55.109 Amber Lin: if a next prince like starts next Monday, we usually do it on a Wednesday. So like 3 days before the cycle ends, we usually do grooming. Then
150 00:16:56.720 ⇒ 00:17:04.280 Amber Lin: would you? Would you guys be able to check the calendars and just send me a list of available times, and I can. I can book that for us.
151 00:17:06.740 ⇒ 00:17:10.480 Zack Gibbs: So you do grooming 3 days before spring. Kickoff. Is that right?
152 00:17:10.881 ⇒ 00:17:15.299 Amber Lin: Yes, and then retro is the last day of the sprint.
153 00:17:16.520 ⇒ 00:17:17.619 Zack Gibbs: Classic, sprint.
154 00:17:18.099 ⇒ 00:17:23.159 Amber Lin: Yeah. So that if we kick if we start kickoffs on Tuesday, retros would be on Mondays.
155 00:17:24.520 ⇒ 00:17:25.099 Zack Gibbs: Okay,
156 00:17:28.822 ⇒ 00:17:33.170 Zack Gibbs: So we would be doing grooming also on Thursdays. Is that right?
157 00:17:34.540 ⇒ 00:17:35.409 Amber Lin: Hmm sounds good.
158 00:17:35.410 ⇒ 00:17:37.620 Zack Gibbs: For, okay.
159 00:17:38.730 ⇒ 00:17:45.180 Amber Lin: If that’s if if that overlaps with our presentation, we probably should move grooming to Wednesdays.
160 00:17:46.240 ⇒ 00:17:53.210 Zack Gibbs: Yeah, let’s do. I would definitely say, Wednesdays, Thursdays in general are super heavy meeting days.
161 00:17:56.140 ⇒ 00:18:01.619 Zack Gibbs: so let’s just Spot. Let’s just let’s just pick a spot for grooming real fast, because that’ll be some that’ll be a lot simpler.
162 00:18:03.400 ⇒ 00:18:05.110 Zack Gibbs: Let me look at calendars real fast.
163 00:18:09.613 ⇒ 00:18:11.830 Zack Gibbs: How long are groommings? Typically.
164 00:18:12.572 ⇒ 00:18:20.889 Amber Lin: Typically the planning grooming retros. Each will last around an hour. We would block off that much time. It would take shorter. That’s okay, too.
165 00:18:27.482 ⇒ 00:18:31.499 Zack Gibbs: And then 1st grooming session would be tomorrow.
166 00:18:32.640 ⇒ 00:18:33.210 Zack Gibbs: Is that right?
167 00:18:33.490 ⇒ 00:18:46.109 Amber Lin: Ideally, though, I do want us to kick off as soon as possible, so we’ll try to do us some internal grooming first.st Maybe, Emily, it’ll be great if you want to get involved as well, so we can kick off as soon as possible.
168 00:18:46.650 ⇒ 00:18:47.759 Emily Giant: Sure. Yeah.
169 00:18:50.180 ⇒ 00:18:52.210 Uttam Kumaran: And maybe we’ll aim for the next cycle.
170 00:18:53.340 ⇒ 00:19:06.409 Amber Lin: Yeah, let’s aim for a next cycle grooming. I think this cycle we already have, especially we have some inventory Mars. We have some rest of stuff that we already know. This is immediate, this priority. So we have some stuff already.
171 00:19:09.000 ⇒ 00:19:11.919 Zack Gibbs: Okay, so that that would be Wednesday.
172 00:19:12.190 ⇒ 00:19:14.109 Zack Gibbs: June 11.th Then is that right?
173 00:19:14.310 ⇒ 00:19:15.909 Amber Lin: Yes, 2 weeks from now.
174 00:19:19.430 ⇒ 00:19:28.136 Zack Gibbs: Okay, the best time for that probably is
175 00:19:30.450 ⇒ 00:19:36.970 Zack Gibbs: 1130 to 1230 Eastern time on starting on Wednesday, June 11.th
176 00:19:38.447 ⇒ 00:19:39.939 Amber Lin: Just a second.
177 00:19:40.780 ⇒ 00:19:46.560 Amber Lin: I I believe it should be June 4, th because if the cycle starts this week.
178 00:19:47.450 ⇒ 00:19:52.880 Amber Lin: is, is it yeah? Cause our next cycle would start.
179 00:19:53.730 ⇒ 00:19:56.499 Amber Lin: Sorry am I on the right?
180 00:19:56.630 ⇒ 00:19:58.290 Amber Lin: Sorry. Give me a quick second.
181 00:19:58.290 ⇒ 00:20:05.789 Zack Gibbs: I. Either way, we we probably want to get ahead of grooming together. So let’s let’s start on the 4.th I think that that makes.
182 00:20:05.900 ⇒ 00:20:11.899 Zack Gibbs: Yeah. So same same timeframe works. 1130 to 1230 Eastern time.
183 00:20:13.470 ⇒ 00:20:16.119 Zack Gibbs: Best time for that hour. Block.
184 00:20:17.170 ⇒ 00:20:18.220 Amber Lin: Sounds good.
185 00:20:22.380 ⇒ 00:20:29.400 Amber Lin: Yeah. And when on Tuesday, Tuesdays would be best for you. If we do planning on Tuesdays.
186 00:20:33.700 ⇒ 00:20:34.440 Zack Gibbs: One second.
187 00:20:49.535 ⇒ 00:20:53.040 Zack Gibbs: Planning on Tuesdays.
188 00:20:55.490 ⇒ 00:21:00.270 Zack Gibbs: Could you move your Sebastian weekly? Call? Emily.
189 00:21:00.710 ⇒ 00:21:02.349 Emily Giant: Yes, that’s no problem.
190 00:21:05.370 ⇒ 00:21:07.910 Zack Gibbs: And the best time the best
191 00:21:14.146 ⇒ 00:21:17.253 Zack Gibbs: starting on next week.
192 00:21:19.200 ⇒ 00:21:22.979 Zack Gibbs: We, Alex and I have a have a meeting that we can’t miss
193 00:21:24.460 ⇒ 00:21:33.669 Zack Gibbs: so we can either do one of 2 things on Tuesday, June 3, rd we could do we can consistently do
194 00:21:34.100 ⇒ 00:21:36.482 Zack Gibbs: 1 30 to 2, 30 Eastern
195 00:21:40.940 ⇒ 00:21:49.019 Zack Gibbs: So that’s an option. If we just wanted to do that time for today. June 3.rd That’s really our only time that we can meet
196 00:21:50.070 ⇒ 00:21:58.639 Zack Gibbs: starting the next week. We can consistently do 1030 to 1130 Eastern in the morning.
197 00:21:59.200 ⇒ 00:22:02.819 Zack Gibbs: That may be better as a consistent time.
198 00:22:03.210 ⇒ 00:22:04.640 Amber Lin: Hmm! Sounds good.
199 00:22:04.920 ⇒ 00:22:05.860 Amber Lin: So
200 00:22:07.600 ⇒ 00:22:15.220 Amber Lin: If we can use this week as a kickoff, then we would. I think we can start using the
201 00:22:15.710 ⇒ 00:22:27.269 Amber Lin: 1030 to 1130 Eastern time on Tuesdays. I would say, starting 2 weeks from now, that which would be June 10.th If we can get the planning done
202 00:22:27.910 ⇒ 00:22:34.400 Amber Lin: like this week. So we don’t have to meet next week for planning. Okay, yeah.
203 00:22:35.510 ⇒ 00:22:40.380 Amber Lin: And then what are your availabilities on Mondays?
204 00:22:43.210 ⇒ 00:22:46.910 Amber Lin: Just in case we want to put the retros on that day.
205 00:22:49.800 ⇒ 00:22:52.200 Zack Gibbs: A retro is also an hour, or are they 30 min?
206 00:22:54.670 ⇒ 00:22:56.190 Zack Gibbs: They’re an hour.
207 00:22:57.590 ⇒ 00:22:58.619 Zack Gibbs: They are okay.
208 00:23:00.470 ⇒ 00:23:01.320 Zack Gibbs: Oh.
209 00:23:02.270 ⇒ 00:23:06.409 Emily Giant: My Mondays are generally more open in the afternoon.
210 00:23:06.750 ⇒ 00:23:08.459 Amber Lin: Or after, like.
211 00:23:08.870 ⇒ 00:23:12.050 Emily Giant: 1115, 1130.
212 00:23:13.710 ⇒ 00:23:17.930 Zack Gibbs: Yeah. 1212 to one. Eastern time on Mondays is typically fine.
213 00:23:18.490 ⇒ 00:23:20.200 Amber Lin: Okay. 12.
214 00:23:22.430 ⇒ 00:23:23.380 Amber Lin: It’s true.
215 00:23:26.190 ⇒ 00:23:35.149 Uttam Kumaran: Yeah, I think, Zack, probably it’ll it’ll end up being that you just you could use your help on like grooming and retros.
216 00:23:35.300 ⇒ 00:23:39.440 Uttam Kumaran: I think stand ups and planning.
217 00:23:39.770 ⇒ 00:23:44.769 Uttam Kumaran: you know, I think we’ll probably just send an update Async, like as as we go through.
218 00:23:46.303 ⇒ 00:23:55.696 Zack Gibbs: Yeah, yeah, let’s let’s, I would say, let’s get all the ceremonies scheduled. And then, as we we can always iterate on it. If timings. Timing’s weird, or you know,
219 00:23:57.170 ⇒ 00:23:58.470 Zack Gibbs: doesn’t work out.
220 00:24:08.080 ⇒ 00:24:23.339 Amber Lin: Great sounds good. That’s that sounds like all the ceremonies we still need to figure out when Thursday is the best we can start off with it with this small group on Thursdays, and then we can maybe expand to bigger groups as we as we go.
221 00:24:23.770 ⇒ 00:24:31.469 Amber Lin: And I think that’s all of the ceremonies that I wanted to go through. Let me check my agenda.
222 00:24:33.113 ⇒ 00:24:41.210 Amber Lin: I think any immediate say questions or concerns, and
223 00:24:42.000 ⇒ 00:24:52.899 Amber Lin: if we still have, say, 30 min blocked off. Maybe some of us can stay on and look at the tickets we have for this cycle and then see what we can do so, we can start as soon as possible.
224 00:24:53.620 ⇒ 00:24:58.740 Uttam Kumaran: Yeah, I think that’s probably the biggest thing for me, Amber, just to get an update on what’s going on this week.
225 00:25:00.820 ⇒ 00:25:04.140 Uttam Kumaran: But that’s probably it for me, and just making sure everyone can get into linear.
226 00:25:04.810 ⇒ 00:25:05.820 Amber Lin: Hmm, sure.
227 00:25:06.290 ⇒ 00:25:20.719 Amber Lin: Yeah, let me write that access. And Kyle also needs access to different tools. I don’t think I have the permission to grant all of them, so that I think that would be you guys to be able to grant Kyle the access.
228 00:25:22.550 ⇒ 00:25:26.431 Zack Gibbs: Yeah, what all do we have a list of what access is needed?
229 00:25:28.570 ⇒ 00:25:29.380 Zack Gibbs: Oh, no.
230 00:25:29.380 ⇒ 00:25:32.960 Uttam Kumaran: Yeah, Kyle, I think there’s a list in the data platform documentation.
231 00:25:34.640 ⇒ 00:25:37.630 Uttam Kumaran: We can just go through. And I think we probably tag Alex.
232 00:25:38.130 ⇒ 00:25:42.630 Uttam Kumaran: on which ones you need, I think, demod. I can probably cross check that.
233 00:25:44.000 ⇒ 00:25:51.269 Zack Gibbs: Yeah. Alex is out. Alex is out this week. On vacation. But yeah, we can. We can get you access. So whatever you need.
234 00:25:51.440 ⇒ 00:25:55.100 Zack Gibbs: I’ll give you that list, and we’ll we’ll get that set up. We’ll get that set up today.
235 00:25:55.270 ⇒ 00:26:01.230 Emily Giant: Yeah, Zach, I can open a ticket for that with the the names and the lists of what they need.
236 00:26:03.160 ⇒ 00:26:09.290 Zack Gibbs: Okay? Do you guys have that? Can we find that real fast and just get all.
237 00:26:11.110 ⇒ 00:26:16.209 Amber Lin: Sure, would you guys want to? Grab those?
238 00:26:16.550 ⇒ 00:26:21.759 Amber Lin: And I’ll share the linear and we can talk about what we have for this week.
239 00:26:24.290 ⇒ 00:26:27.917 Demilade Agboola: Yeah, sure. We could always just share the list.
240 00:26:28.820 ⇒ 00:26:37.240 Demilade Agboola: I believe it will be the same like things I have access to. But potentially there might be one or 2 things that might be.
241 00:26:37.430 ⇒ 00:26:44.169 Demilade Agboola: We might need as we go forward, but for right now, right now, just be like the github. Dbt.
242 00:26:45.033 ⇒ 00:26:47.500 Demilade Agboola: dash that sort of stuff.
243 00:26:47.940 ⇒ 00:26:51.889 Uttam Kumaran: Yeah, I think the list them a lot is in the data platform sheet.
244 00:26:52.130 ⇒ 00:26:58.660 Uttam Kumaran: So if you just want to send that over, basically.
245 00:26:58.660 ⇒ 00:26:59.430 Zack Gibbs: Yeah, just- just.
246 00:26:59.430 ⇒ 00:27:02.350 Uttam Kumaran: It’s like, that’s the list. Yeah, if you just want to send that spreadsheet over.
247 00:27:05.630 ⇒ 00:27:13.770 Zack Gibbs: Yeah, you can just throw it in the chat here if you grab it, or if you throw it in the slack channel, that also works, and we’ll get.
248 00:27:13.910 ⇒ 00:27:15.010 Zack Gibbs: We’ll get it set up.
249 00:27:33.330 ⇒ 00:27:36.819 Caio Velasco: This the one that you guys started already before I joined.
250 00:27:41.920 ⇒ 00:27:42.530 Zack Gibbs: Team.
251 00:27:42.680 ⇒ 00:27:46.229 Uttam Kumaran: Yeah, that’s correct. Yeah, it’s a, it’s a data platform documentation
252 00:27:46.850 ⇒ 00:27:48.789 Uttam Kumaran: just has, like all the sources
253 00:27:50.150 ⇒ 00:27:52.849 Uttam Kumaran: and all the actual data tools that we’re using.
254 00:28:02.440 ⇒ 00:28:08.239 Zack Gibbs: It doesn’t doesn’t show the system access stuff here other than
255 00:28:08.670 ⇒ 00:28:18.470 Zack Gibbs: I think. It probably be easier if if you could, just if you could just do a quick sweep of what access you have, and we’ll mirror that access.
256 00:28:19.420 ⇒ 00:28:23.070 Demilade Agboola: Okay, so.
257 00:28:23.940 ⇒ 00:28:27.959 Zack Gibbs: Yeah, cause I’m looking through like none of this has.
258 00:28:31.760 ⇒ 00:28:37.839 Zack Gibbs: I mean, some of the sources are like Zendesk, Yapo tick tock, like you. Don’t you know? Bloom, reach.
259 00:28:37.840 ⇒ 00:28:38.230 Uttam Kumaran: Awesome.
260 00:28:38.230 ⇒ 00:28:39.710 Zack Gibbs: Access to all that stuff.
261 00:28:40.682 ⇒ 00:28:43.757 Zack Gibbs: You know. Dbt hevo stitch sure
262 00:28:44.650 ⇒ 00:28:45.360 Zack Gibbs: But.
263 00:28:49.350 ⇒ 00:28:53.760 Demilade Agboola: Yeah, but it’ll probably be actually, if you go to the
264 00:28:54.020 ⇒ 00:29:00.319 Demilade Agboola: data platform documentation. That’s kind of what right? I need. My, but like what I use minus like dynamo.
265 00:29:00.610 ⇒ 00:29:03.373 Demilade Agboola: of course, guys. But like that’s fair enough. I’m literally
266 00:29:03.940 ⇒ 00:29:05.750 Demilade Agboola: filtering the list as we speak.
267 00:29:06.310 ⇒ 00:29:16.120 Amber Lin: Yeah, definitely. Would you mind making that or sending that to Zack? And then we can. We can figure this out. After this meeting.
268 00:29:16.890 ⇒ 00:29:17.950 Demilade Agboola: That’s good.
269 00:29:18.390 ⇒ 00:29:28.410 Amber Lin: Yeah. Let me share really quickly what I put already in linear. It’s pretty much transferred from the notion, Doc, but this is what we use for our
270 00:29:28.750 ⇒ 00:29:34.070 Amber Lin: for our project management. And so right here.
271 00:29:35.713 ⇒ 00:29:39.450 Amber Lin: I’m going to go to cycles and look at current.
272 00:29:40.090 ⇒ 00:30:06.529 Amber Lin: So these are the things that we’re gonna do this cycle. A lot of them needs to be broken down further, and which where I will need the help from our demo day, which who is going to be our tech lead, and also Emily, and we’ll work to break these down together, and then we’ll assign these tickets, and we can get started. But just to make sure that this is this is what I think, this one probably not.
273 00:30:07.606 ⇒ 00:30:13.149 Amber Lin: So these are the main things that we want to tackle this cycle.
274 00:30:17.530 ⇒ 00:30:18.380 Emily Giant: Okay.
275 00:30:18.970 ⇒ 00:30:19.500 Amber Lin: Yeah.
276 00:30:21.240 ⇒ 00:30:24.029 Amber Lin: And if we want, we can.
277 00:30:25.080 ⇒ 00:30:35.539 Amber Lin: We can say a little bit after this and look at how each of them can be done and who wants to take on which ticket, and then we can just get started
278 00:30:36.190 ⇒ 00:30:39.610 Amber Lin: for each one. I I try to write.
279 00:30:40.030 ⇒ 00:30:58.680 Amber Lin: We, our ticket standards are mostly we want a goal, and we want a acceptance criteria. And I, usually, I add a why, so that we know what? Why, we’re even working on this. But we’ll love some feedback on how these acceptance criterias are. Because I’m not
280 00:30:59.674 ⇒ 00:31:03.909 Amber Lin: I would love for you guys to also define. Okay, what does it mean for it?
281 00:31:04.020 ⇒ 00:31:06.410 Amber Lin: These tasks would be done.
282 00:31:08.780 ⇒ 00:31:12.360 Amber Lin: So that’s all.
283 00:31:15.870 ⇒ 00:31:20.409 Zack Gibbs: Yeah, so are, do we? Are we to the point where we want to start going through these? Or are there other admin
284 00:31:20.610 ⇒ 00:31:23.329 Zack Gibbs: admin related things we need to cover.
285 00:31:23.700 ⇒ 00:31:37.709 Amber Lin: Yeah. Wanted to check on that, too. It’s all on our end. I went through all the agenda. Nothing’s coming up on my mind right now. So if if there’s any questions that we can address, since we’re all here, that will be.
286 00:31:37.890 ⇒ 00:31:39.119 Amber Lin: That’ll be awesome.
287 00:31:42.360 ⇒ 00:31:43.019 Uttam Kumaran: That’s it. That’s it.
288 00:31:43.020 ⇒ 00:31:44.329 Uttam Kumaran: Yeah, I don’t. I don’t have any.
289 00:31:44.920 ⇒ 00:31:46.760 Zack Gibbs: Yeah, I don’t have anything that I’m
290 00:31:46.920 ⇒ 00:31:53.549 Zack Gibbs: that comes to mind. I do think that we should. Let’s let’s spend some time like doing a mini grooming go through those items
291 00:31:53.610 ⇒ 00:32:20.259 Zack Gibbs: and talk about acceptance criteria and stuff. Because I do want to. You know, part of what we’ve communicated internally is very much that we have these other like business area analysts. Some of our on our customer care team, our supply chain management team, our marketing team forecasting and planning team our finance team. We want to start embedding them in. You know parts of this. Make sure that they are as a part of like the sign off they’re getting. You know.
292 00:32:20.260 ⇒ 00:32:30.260 Zack Gibbs: they are getting overviews, because ultimately we want them to be more self service and take more ownership. For their business area, and so
293 00:32:30.710 ⇒ 00:32:38.050 Zack Gibbs: them being included in the right spots. As reviewers and approvers is, gonna be important.
294 00:32:38.050 ⇒ 00:32:38.910 Zack Gibbs: Oh.
295 00:32:40.800 ⇒ 00:32:41.475 Amber Lin: Great.
296 00:32:42.300 ⇒ 00:32:45.100 Amber Lin: Let me see.
297 00:32:46.330 ⇒ 00:32:51.310 Amber Lin: Yeah, I sent you guys a invite to our linear
298 00:32:51.690 ⇒ 00:33:05.889 Amber Lin: and let’s spend some time. We still have, like 40, a 27 min left in the time booked. We can go through these tickets and we’ll know what we need to do. So I’ll share screen. I’ll share my screen.
299 00:33:06.190 ⇒ 00:33:09.149 Amber Lin: Let’s take a look at these together.
300 00:33:11.230 ⇒ 00:33:18.440 Amber Lin: So think this is a smaller one. Let’s let’s look at these 2 redshift ones.
301 00:33:18.650 ⇒ 00:33:31.200 Amber Lin: So right here, I said, this goal is to make sure that we can automatically Grant enrolled access, and
302 00:33:32.150 ⇒ 00:33:43.140 Amber Lin: would, I would want a due date, a estimate and assignee so.
303 00:33:44.450 ⇒ 00:33:47.620 Amber Lin: and acceptance criteria will be up to you guys.
304 00:33:49.900 ⇒ 00:33:54.251 Zack Gibbs: Yep, alright! Give me one second. I’m I’m getting into linear now.
305 00:33:54.510 ⇒ 00:33:55.320 Amber Lin: Sounds good.
306 00:33:55.320 ⇒ 00:33:58.980 Zack Gibbs: Just going through just going through the flow to get in.
307 00:34:37.095 ⇒ 00:34:41.229 Zack Gibbs: Okay, I’m in. So we’re looking at Grant automation.
308 00:34:41.980 ⇒ 00:34:42.770 Amber Lin: Yes.
309 00:34:45.550 ⇒ 00:34:46.190 Zack Gibbs: Alright.
310 00:34:47.310 ⇒ 00:34:52.370 Zack Gibbs: I’m in the current cycle. Animation cool?
311 00:35:13.680 ⇒ 00:35:19.330 Zack Gibbs: Yeah. So I think it. The the sign off here is both Emily and Alex.
312 00:35:19.500 ⇒ 00:35:19.899 Amber Lin: Oh no!
313 00:35:29.910 ⇒ 00:35:33.390 Amber Lin: Done a lot. I believe this would be a ticket for you right.
314 00:35:35.245 ⇒ 00:35:35.800 Demilade Agboola: Yeah.
315 00:35:36.190 ⇒ 00:35:41.379 Amber Lin: Okay, sounds good. And how much time do you estimate? This would take.
316 00:35:47.080 ⇒ 00:35:51.019 Demilade Agboola: End of week should be fine like end of this actual week should be fine.
317 00:35:52.990 ⇒ 00:35:54.789 Amber Lin: End of this week?
318 00:35:55.346 ⇒ 00:36:00.330 Amber Lin: I think, in in terms of points. How long do you think this is
319 00:36:01.230 ⇒ 00:36:09.209 Amber Lin: like 1 point is like an hour, 2 points like 2 to 3, 3 points like half a day. I believe in 5 points is a whole day and 8 points. It’s
320 00:36:09.550 ⇒ 00:36:14.300 Amber Lin: 5 points like a day or 2 and 8 points, is needing to be broken down.
321 00:36:15.880 ⇒ 00:36:19.360 Demilade Agboola: No, this should be like 2, 3 points. To be honest.
322 00:36:19.580 ⇒ 00:36:21.240 Amber Lin: Okay. Sounds good.
323 00:36:22.100 ⇒ 00:36:24.030 Amber Lin: And figure that out.
324 00:36:24.975 ⇒ 00:36:25.620 Amber Lin: Great.
325 00:36:25.620 ⇒ 00:36:34.890 Uttam Kumaran: Yeah. And one thing, one thing as part of this, we can also just take a look at the existing roles that are in there. I know we have a back basket of work. That’s really it’s a
326 00:36:35.120 ⇒ 00:36:38.230 Uttam Kumaran: cleaning up the existing roles and users.
327 00:36:38.716 ⇒ 00:36:42.639 Uttam Kumaran: So maybe just one comment to add, here is, we’ll prepare
328 00:36:42.850 ⇒ 00:36:46.980 Uttam Kumaran: a script that just shows all the existing roles users, and what then grants to
329 00:36:48.380 ⇒ 00:36:51.190 Uttam Kumaran: that should be help for some other work that’s coming up.
330 00:36:55.120 ⇒ 00:36:55.850 Amber Lin: Correct.
331 00:36:56.250 ⇒ 00:37:02.140 Amber Lin: Okay, sounds good. And then let’s look at another red ship ticket.
332 00:37:02.290 ⇒ 00:37:11.100 Amber Lin: So they’re saying, we want to audit the active ingestion flows.
333 00:37:13.920 ⇒ 00:37:19.030 Amber Lin: I don’t think it’s gonna get signed off by Wutang, but.
334 00:37:26.470 ⇒ 00:37:31.660 Zack Gibbs: Some of this auditing has already been done right or no.
335 00:37:33.371 ⇒ 00:37:38.240 Emily Giant: Not necessarily in like this, formal of a way.
336 00:37:40.530 ⇒ 00:37:44.240 Uttam Kumaran: Yeah, I think we did kind of piece mail like we just looked at one or 2 pieces.
337 00:37:44.560 ⇒ 00:37:48.280 Uttam Kumaran: But we have. We haven’t looked we?
338 00:37:48.600 ⇒ 00:37:52.109 Uttam Kumaran: I think in the beginning we did make a list of all of them, but.
339 00:37:52.250 ⇒ 00:37:54.880 Emily Giant: We haven’t marked in for deprecation, and then.
340 00:37:55.640 ⇒ 00:38:00.019 Uttam Kumaran: Then we’ll sort of take an action on deprecation. So there’s no like deprecation plan.
341 00:38:01.710 ⇒ 00:38:02.290 Zack Gibbs: Okay.
342 00:38:16.250 ⇒ 00:38:21.010 Emily Giant: You know, think, review wise. This would still be by, like Alex and myself.
343 00:38:23.900 ⇒ 00:38:33.479 Amber Lin: Hmm, okay, so would this be a ticket? Emily, for you, or would this be a ticket for
344 00:38:33.838 ⇒ 00:38:40.039 Amber Lin: devil, Lotto or Kyle? What do you guys think who’s gonna take this? Because I know Dev a lot is working on the other one, too.
345 00:38:40.530 ⇒ 00:38:46.289 Demilade Agboola: Is that gonna be myself, Kyle, to be honest.
346 00:38:47.760 ⇒ 00:38:49.860 Zack Gibbs: This one is a
347 00:38:51.060 ⇒ 00:39:01.749 Zack Gibbs: is this one a predecessor? For the the flag looks for deprecation, though as well like we need to know what the sources, the sources, and then how those sources are flowing into.
348 00:39:02.020 ⇒ 00:39:02.470 Amber Lin: Essentially.
349 00:39:02.470 ⇒ 00:39:03.600 Zack Gibbs: Unused.
350 00:39:06.390 ⇒ 00:39:08.230 Amber Lin: Good point, so this.
351 00:39:08.230 ⇒ 00:39:14.009 Zack Gibbs: So whoever whoever does this, whoever does this work probably should take the deprecation
352 00:39:14.400 ⇒ 00:39:18.890 Zack Gibbs: because they are very much connected, is my assumption, unless I’m looking at it wrong.
353 00:39:18.890 ⇒ 00:39:23.289 Uttam Kumaran: There may be, there’s gonna be some sources that just aren’t connected to anything.
354 00:39:23.290 ⇒ 00:39:23.830 Emily Giant: Hmm.
355 00:39:23.830 ⇒ 00:39:29.630 Uttam Kumaran: But you’re also right is that there’s also going to be a link to stuff that is connected. But it’s just unused.
356 00:39:31.220 ⇒ 00:39:45.209 Emily Giant: I feel like I would be the person to do any of the deprecation work. Just having more insight of like how the data is currently used in Dbt or looker. But
357 00:39:46.450 ⇒ 00:39:51.499 Emily Giant: I think that they can technically be worked on separately.
358 00:39:53.990 ⇒ 00:39:55.320 Uttam Kumaran: Yes, I think maybe it’s helpful.
359 00:39:55.320 ⇒ 00:39:56.010 Zack Gibbs: This.
360 00:39:56.520 ⇒ 00:39:57.110 Uttam Kumaran: Yeah.
361 00:39:57.110 ⇒ 00:40:01.080 Zack Gibbs: One is why one, in my opinion, here.
362 00:40:01.080 ⇒ 00:40:01.630 Uttam Kumaran: Think.
363 00:40:01.790 ⇒ 00:40:08.070 Zack Gibbs: Is piece one is. Let’s, Emily, I think you should take the lead on the looker access purge, which is already in our current.
364 00:40:08.070 ⇒ 00:40:08.670 Emily Giant: Around.
365 00:40:08.670 ⇒ 00:40:21.416 Zack Gibbs: Right. Let’s get the users out that we think are unnecessary, or or change their like, you know, change their license if needed. That’ll some things will come out of the woodworks there, and that’s fine. We’ll deal with those
366 00:40:22.240 ⇒ 00:40:25.190 Zack Gibbs: and then I think we should, you know.
367 00:40:25.450 ⇒ 00:40:29.580 Zack Gibbs: do the source, the source mapping again that we were looking at the previous ticket.
368 00:40:29.730 ⇒ 00:40:34.751 Zack Gibbs: And then once we flag things for application that we think we should be
369 00:40:35.430 ⇒ 00:40:43.627 Zack Gibbs: I think there’s a more like formal review with some of the with the, you know, the different business teams to say, like, here’s what we’re doing, and why?
370 00:40:44.090 ⇒ 00:40:49.230 Zack Gibbs: before we actually do it. Like that will be a good like checks and balances of.
371 00:40:49.520 ⇒ 00:41:02.160 Amber Lin: Sounds good. So this needs to. Yeah. I would say, this needs to be done as soon as possible, so we can start that process. What do you think is a good due date for this ticket?
372 00:41:08.828 ⇒ 00:41:13.300 Zack Gibbs: The the access change in looker itself.
373 00:41:13.945 ⇒ 00:41:16.320 Zack Gibbs: That you’re planning to do that.
374 00:41:16.320 ⇒ 00:41:16.680 Amber Lin: Separate.
375 00:41:16.680 ⇒ 00:41:25.690 Zack Gibbs: Couple. Well, right, I’m I’m talking to Emily, because that was I’m looking at our sprint. That looker access change is your expectation that you would do that
376 00:41:25.910 ⇒ 00:41:27.430 Zack Gibbs: the next couple of days.
377 00:41:27.680 ⇒ 00:41:34.700 Emily Giant: Yes, yeah, that will be done by this coming Monday, a week from yesterday.
378 00:41:40.510 ⇒ 00:41:43.393 Zack Gibbs: Yeah, Emily’s. Emily’s taking that
379 00:41:47.440 ⇒ 00:41:48.930 Emily Giant: And then this one I could
380 00:41:49.690 ⇒ 00:41:52.300 Emily Giant: take as like the next step to that.
381 00:41:55.990 ⇒ 00:42:01.580 Zack Gibbs: Yeah, I would. I would prefer that that you got the brain forge folks. Take this
382 00:42:04.770 ⇒ 00:42:10.748 Zack Gibbs: And that we are. We are more of like the informed, and we are. You know we are the informed party, and
383 00:42:12.040 ⇒ 00:42:15.539 Zack Gibbs: we’re helping communicate this more broadly to the business teams.
384 00:42:15.800 ⇒ 00:42:17.040 Amber Lin: That does make sense.
385 00:42:17.440 ⇒ 00:42:18.040 Emily Giant: Okay.
386 00:42:18.850 ⇒ 00:42:24.989 Amber Lin: Okay Kyle or Damalade, which one of you will take this ticket.
387 00:42:26.140 ⇒ 00:42:29.540 Uttam Kumaran: Yeah, I think Kyle can probably take this. And then the decisions actually like
388 00:42:29.790 ⇒ 00:42:34.450 Uttam Kumaran: pull the trigger or deprecate. We can coordinate with the urban substance.
389 00:42:34.450 ⇒ 00:42:34.980 Amber Lin: Okay.
390 00:42:38.600 ⇒ 00:42:43.369 Uttam Kumaran: And this will help Kyle’s help. You sort of ramp up on like all the sources, too, so we’ll see.
391 00:42:43.370 ⇒ 00:42:44.130 Caio Velasco: Exactly.
392 00:42:45.070 ⇒ 00:42:49.750 Amber Lin: Awesome I would say, since
393 00:42:50.710 ⇒ 00:42:59.230 Amber Lin: this will be done by next Monday, do you think by end of this week is enough time, or do we need by say, next Monday or Tuesday?
394 00:43:01.680 ⇒ 00:43:11.600 Caio Velasco: I think by the end of this week I can start to get acquainted with everything and maybe update if there’s something different than that. But I think we can start with that.
395 00:43:13.110 ⇒ 00:43:24.700 Demilade Agboola: I just. I just sent the message for the access, like the list of access that you need, so that also go through. Look as one of them. So that would help with
396 00:43:25.915 ⇒ 00:43:30.070 Demilade Agboola: okay, and able to do this because we don’t want you. We don’t want you blocked.
397 00:43:31.300 ⇒ 00:43:31.840 Amber Lin: Hmm!
398 00:43:32.720 ⇒ 00:43:42.530 Amber Lin: So should I say end of this week, for next to next Monday, Tuesday.
399 00:43:46.710 ⇒ 00:43:49.740 Caio Velasco: I I could say you could do end of this week.
400 00:43:49.850 ⇒ 00:43:52.430 Amber Lin: Okay, sounds good
401 00:43:52.909 ⇒ 00:43:58.899 Amber Lin: your, I’m gonna save this. So you can, because you have, also a lot of stuff to figure out.
402 00:43:59.200 ⇒ 00:43:59.780 Caio Velasco: Hmm.
403 00:44:00.230 ⇒ 00:44:03.820 Amber Lin: To catch up on great sounds. Good.
404 00:44:04.520 ⇒ 00:44:06.720 Amber Lin: 2 more to go, I think.
405 00:44:06.890 ⇒ 00:44:09.610 Amber Lin: No, when we have.
406 00:44:17.200 ⇒ 00:44:22.710 Amber Lin: I do think that the inventory ticket will take up quite a bit.
407 00:44:23.270 ⇒ 00:44:24.690 Amber Lin: And
408 00:44:26.000 ⇒ 00:44:33.410 Amber Lin: I would suggest that Kyle also takes this. Take this because this will also help you understand what’s going on.
409 00:44:35.690 ⇒ 00:44:38.130 Amber Lin: Does that sound like a good suggestion.
410 00:44:39.660 ⇒ 00:44:45.750 Caio Velasco: I think so. Yeah, I think everything’s connected. I like to have a look from end to end. That’s important.
411 00:44:46.510 ⇒ 00:44:54.769 Amber Lin: Hmm, Zack! And Emily, does that sound good to you guys?
412 00:44:56.510 ⇒ 00:44:58.039 Emily Giant: Yes, goodbye. Me.
413 00:44:58.340 ⇒ 00:44:58.970 Amber Lin: Okay.
414 00:44:59.650 ⇒ 00:45:00.070 Zack Gibbs: Yep.
415 00:45:02.700 ⇒ 00:45:09.720 Amber Lin: And when would you say this, this will be done.
416 00:45:11.170 ⇒ 00:45:16.889 Caio Velasco: Well, then, I can push to the Monday or Tuesday you mentioned, just so that they can do both in parallel and see.
417 00:45:17.150 ⇒ 00:45:18.459 Caio Velasco: I’ll probably go.
418 00:45:18.590 ⇒ 00:45:21.880 Caio Velasco: Sounds yes, Monday or Tuesday, as you mentioned.
419 00:45:22.520 ⇒ 00:45:23.440 Amber Lin: Sorry.
420 00:45:23.440 ⇒ 00:45:25.488 Caio Velasco: Monday or Tuesday, as you mentioned
421 00:45:25.830 ⇒ 00:45:26.500 Amber Lin: Go ahead!
422 00:45:26.500 ⇒ 00:45:28.919 Caio Velasco: You can do both in parallel. So.
423 00:45:29.490 ⇒ 00:45:31.480 Amber Lin: Okay. Sounds good. I’ll say next time.
424 00:45:31.480 ⇒ 00:45:34.419 Uttam Kumaran: This one is gonna probably take a little bit longer. So just.
425 00:45:35.410 ⇒ 00:45:39.590 Uttam Kumaran: Yeah, compared to the ingestion stuff. I think this is gonna be a little bit beefier.
426 00:45:40.760 ⇒ 00:45:41.360 Amber Lin: Hmm!
427 00:45:43.160 ⇒ 00:45:55.260 Amber Lin: Sounds good. I think this is the last one. This needs to be broken down, and I guess this would be for Demote and Emily of how do you guys want to break down this ticket?
428 00:46:01.022 ⇒ 00:46:09.260 Demilade Agboola: So for this one, we’ll definitely need to go through the entire like models
429 00:46:09.800 ⇒ 00:46:15.999 Demilade Agboola: and make up the final inventory models like the math models, and we will go work our way back.
430 00:46:16.240 ⇒ 00:46:22.030 Demilade Agboola: and then we’ll need to restructure it, I think, for this.
431 00:46:23.920 ⇒ 00:46:33.499 Demilade Agboola: I mean, I would definitely. I’ll definitely need to work with Emily, because there’s some things that obviously, Emily is like, Yeah, this was done years ago. And like, there’s some context to certain stuff that would.
432 00:46:35.390 ⇒ 00:46:46.710 Demilade Agboola: We’ll definitely need Emily’s help with this. But yeah, the working on it would be something we would need to just like, break apart, figure out the flow, and I, I believe, like
433 00:46:48.120 ⇒ 00:46:50.760 Demilade Agboola: I believe, that this would be
434 00:46:51.880 ⇒ 00:46:54.310 Demilade Agboola: in terms of timeline. I think this should be.
435 00:46:59.380 ⇒ 00:47:03.570 Demilade Agboola: It will take up a decent chunk of this. To be honest.
436 00:47:03.700 ⇒ 00:47:07.549 Demilade Agboola: I foresee like to us a lot at end of this sprint.
437 00:47:08.425 ⇒ 00:47:08.850 Demilade Agboola: But.
438 00:47:08.850 ⇒ 00:47:09.600 Amber Lin: Hello!
439 00:47:09.600 ⇒ 00:47:14.668 Demilade Agboola: In terms of who should sign. I think it will be Emily. Emily will be the main person to sign off
440 00:47:16.250 ⇒ 00:47:41.109 Demilade Agboola: and then we’ll just obviously try and see. The numbers are matching the existing models, and if there are any like disparities like like acceptance criteria like, we need to match what the outputs are, and if there are any disparities, why, those disparities exist, you know, if we improve the model, for instance, that’s why you expect things like that. But for the most part, though, we just need to match what currently exists.
441 00:47:41.920 ⇒ 00:47:48.370 Amber Lin: Okay, can I say that? I’ll leave this to you guys to flush out this ticket a bit more.
442 00:47:49.370 ⇒ 00:47:49.830 Emily Giant: Yes.
443 00:47:49.830 ⇒ 00:48:08.629 Amber Lin: I. We also have think we also want to. I know there’s 2 more tickets that was not included in this cycle. One is to finish up incremental logic and add freshness tests which I do think we have incremental logic here, and then the 3rd one is to document the lineage and glossary, which would be around like
444 00:48:09.120 ⇒ 00:48:12.619 Amber Lin: the 3rd cycle. So that’s that’s a bit from now.
445 00:48:12.740 ⇒ 00:48:16.060 Amber Lin: because we do want to get the revenue mark or sales. Mark started.
446 00:48:16.570 ⇒ 00:48:22.230 Amber Lin: So I’ll assign this to do. We see Demoto or Emily for this one.
447 00:48:22.929 ⇒ 00:48:29.420 Emily Giant: Assign it to me. I’ll work with them a lot on scheduling some time and like break it out from there.
448 00:48:29.990 ⇒ 00:48:37.590 Amber Lin: Okay, sounds good. I’ll put the deadline at end of this cycle.
449 00:48:37.890 ⇒ 00:48:42.110 Amber Lin: This is quite a big ticket. Yeah. And great.
450 00:48:43.880 ⇒ 00:49:02.500 Emily Giant: I do have one more ticket that I would like to add to this cycle, only I’ve run into like a bit of a blocker doing it on my end. We met with our revenue team last week, and they have a very like custom schedule they want for the replication for polytomic data, and I was
451 00:49:02.610 ⇒ 00:49:08.050 Emily Giant: hoping that Utam could help me set that up. Right now. I can’t like
452 00:49:09.130 ⇒ 00:49:16.760 Emily Giant: figure out how to get the Cron job to do like multiple jobs based on like the hour of the day and the day of the week.
453 00:49:16.940 ⇒ 00:49:20.490 Emily Giant: So, if yeah, like.
454 00:49:20.490 ⇒ 00:49:30.410 Uttam Kumaran: Let’s add it. Let yeah, let’s add it here. And I think I can. I can help. That’s actually a good one. There’s like, there’s 2 options for that. Either we do that in polytomic, or we can
455 00:49:30.520 ⇒ 00:49:32.869 Uttam Kumaran: triggered externally. So yeah, perfect.
456 00:49:34.110 ⇒ 00:49:38.020 Emily Giant: Here is the. I’ll send it in the chat. But this is the schedule.
457 00:49:48.260 ⇒ 00:49:51.809 Amber Lin: great. I will comment that in the ticket.
458 00:49:53.160 ⇒ 00:49:53.930 Emily Giant: Great.
459 00:49:54.630 ⇒ 00:49:57.489 Amber Lin: Yeah, and I will tag Utam.
460 00:49:57.840 ⇒ 00:50:04.539 Amber Lin: I’ll assign this to you, Emily, and then I’ll tag Utam to help you with that.
461 00:50:05.240 ⇒ 00:50:13.149 Amber Lin: And is there a day that you want this done by? Or is this a very urgent issue?
462 00:50:13.150 ⇒ 00:50:15.339 Emily Giant: That one is as soon as possible.
463 00:50:15.340 ⇒ 00:50:17.529 Amber Lin: Okay, sounds good.
464 00:50:18.170 ⇒ 00:50:21.879 Amber Lin: So I’ll say, tomorrow or Thursday.
465 00:50:22.010 ⇒ 00:50:28.570 Amber Lin: Okay? And I’ll say, very high priority sounds good.
466 00:50:29.130 ⇒ 00:50:30.050 Emily Giant: Thank you.
467 00:50:32.910 ⇒ 00:50:34.569 Amber Lin: That’s all on my end.
468 00:50:35.085 ⇒ 00:50:50.070 Amber Lin: We can always, if we have more capacity left. We can always go back to the notion, Doc, and look at what we had planned right next. And I can also work on flushing out the next phase tickets, so we can prepare for quoting session.
469 00:50:52.050 ⇒ 00:51:08.160 Emily Giant: Okay, in terms of scheduling meetings. Does it work best if we use like the urban stems, Google Calendar. Or I know that there were like applications that Utam used to use at the beginning of our last engagement. What’s the best practice there for scheduling time?
470 00:51:09.520 ⇒ 00:51:12.802 Amber Lin: I usually just send calendar invites
471 00:51:13.620 ⇒ 00:51:23.539 Amber Lin: But if there’s a specific application you guys use to find a free spots on your calendar, I would be really down to try that out as well.
472 00:51:24.340 ⇒ 00:51:26.480 Emily Giant: I don’t. I usually do the same. We use.
473 00:51:26.480 ⇒ 00:51:26.900 Amber Lin: Okay.
474 00:51:26.900 ⇒ 00:51:28.869 Emily Giant: Here. So I know that.
475 00:51:28.870 ⇒ 00:51:29.200 Amber Lin: Oh!
476 00:51:29.200 ⇒ 00:51:34.450 Emily Giant: When you use zoom and I don’t know if that’s a conflict.
477 00:51:34.820 ⇒ 00:51:40.889 Emily Giant: But in the past demalade and I have just used Google meets and sent
478 00:51:41.130 ⇒ 00:51:43.160 Emily Giant: just directly to email without an app.
479 00:51:43.160 ⇒ 00:51:54.049 Amber Lin: I see. I see we usually use zoom because we have internal systems that help us transcribe Zoom Meetings, so it’ll be really helpful if we can keep everything in zoom.
480 00:51:54.950 ⇒ 00:52:08.159 Emily Giant: Okay. So for urban stems scheduling with your team, since we don’t generally use zoom, what would be the best way to do that? Would it just be? Communicate the time, and then y’all schedule the meeting.
481 00:52:09.720 ⇒ 00:52:18.469 Amber Lin: Yeah, that’s how I do it currently. So I usually schedule it on the Google Calendar. And it automatically creates a Zoom Meeting link for me.
482 00:52:19.380 ⇒ 00:52:20.020 Emily Giant: Okay.
483 00:52:20.440 ⇒ 00:52:20.970 Amber Lin: Oh!
484 00:52:23.110 ⇒ 00:52:25.909 Zack Gibbs: What do you? What do you guys use for calendars? Do you use? Do you use Google
485 00:52:26.030 ⇒ 00:52:28.200 Zack Gibbs: use? Go?
486 00:52:28.450 ⇒ 00:52:33.629 Zack Gibbs: Okay? Well, if we just want to share calendars that we just. I think we just share individual with individuals like share your
487 00:52:34.010 ⇒ 00:52:43.880 Zack Gibbs: share your Google Calendar with whomever needs it, you can just show the, you know, free, free versus busy times. And that way that way we can all
488 00:52:44.210 ⇒ 00:52:45.170 Zack Gibbs: just do it that way.
489 00:52:45.700 ⇒ 00:52:47.310 Amber Lin: Sounds good. Sounds good.
490 00:52:48.240 ⇒ 00:52:50.660 Amber Lin: Oh, page.
491 00:52:53.920 ⇒ 00:52:56.980 Amber Lin: yeah, I can look into creating a shared calendar for that.
492 00:52:57.880 ⇒ 00:52:58.739 Emily Giant: That’d be great.
493 00:52:58.740 ⇒ 00:52:59.300 Amber Lin: Hmm!
494 00:53:02.100 ⇒ 00:53:17.950 Amber Lin: Anything else. I think we’re pretty ready to kick off, and Emily and Amanda will meet about the inventory tickets. We’ll send you the list that we need access for Kyle, and then Kyle can get started on the auditing and the processes as well.
495 00:53:19.340 ⇒ 00:53:20.719 Emily Giant: All right. Sounds good.
496 00:53:20.720 ⇒ 00:53:22.739 Amber Lin: Yeah, sounds great. I’m very excited.
497 00:53:23.320 ⇒ 00:53:24.080 Emily Giant: Me too.
498 00:53:24.350 ⇒ 00:53:25.320 Zack Gibbs: All right.
499 00:53:25.770 ⇒ 00:53:26.520 Amber Lin: Okay.
500 00:53:26.520 ⇒ 00:53:28.710 Amber Lin: Alright. Thanks. Guys.
501 00:53:29.210 ⇒ 00:53:30.270 Caio Velasco: Thank you. Bye.
502 00:53:30.270 ⇒ 00:53:30.990 Amber Lin: Bye.
503 00:53:30.990 ⇒ 00:53:31.550 Zack Gibbs: See you.