Meeting Title: Urban Stems | Internal Discussion Date: 2025-05-27 Meeting participants: Uttam Kumaran, Amber Lin, Demilade Agboola, Caio Velasco
WEBVTT
1 00:01:49.430 ⇒ 00:01:50.750 Amber Lin: Bye, Kyle.
2 00:01:52.730 ⇒ 00:01:53.890 Caio Velasco: Hi amber.
3 00:01:54.020 ⇒ 00:02:00.239 Amber Lin: Where are you A bit early? I haven’t got up so early in the morning.
4 00:02:00.680 ⇒ 00:02:01.430 Caio Velasco: Oh!
5 00:02:02.630 ⇒ 00:02:09.640 Amber Lin: Yeah. Let me tag Utanya and damade for a meeting.
6 00:02:16.940 ⇒ 00:02:17.780 Amber Lin: Cool
7 00:02:21.020 ⇒ 00:02:24.710 Amber Lin: and Kyle, all the work you do for data platform is so impressive.
8 00:02:26.660 ⇒ 00:02:27.569 Caio Velasco: Where you come again.
9 00:02:28.100 ⇒ 00:02:32.029 Amber Lin: The stuff you’re doing for the data platform is so impressive.
10 00:02:32.290 ⇒ 00:02:33.190 Caio Velasco: Oh, thank you.
11 00:02:33.970 ⇒ 00:02:35.800 Caio Velasco: Yeah. I think now it’s a
12 00:02:36.370 ⇒ 00:02:38.729 Caio Velasco: getting a good into good shape.
13 00:02:39.900 ⇒ 00:02:46.690 Caio Velasco: I was also reading the notion page you shared about urban stems. And somehow
14 00:02:46.970 ⇒ 00:02:50.029 Caio Velasco: this is spreadsheet work, and really be the
15 00:02:50.390 ⇒ 00:02:55.299 Caio Velasco: the way clients would feel. Things are organized, because when I read
16 00:02:55.820 ⇒ 00:03:04.139 Caio Velasco: it it ends up being the cliche thing that every client they never use dashboard. Everything is organized. Yada Yada Yada.
17 00:03:04.760 ⇒ 00:03:07.299 Caio Velasco: So I think we have a lot to do for them.
18 00:03:09.710 ⇒ 00:03:15.359 Amber Lin: Totally, yeah. And I was thinking, oh, what was this thing? Oh, gosh.
19 00:03:15.560 ⇒ 00:03:18.900 Amber Lin: is data, platform, the only thing, you’re working on right? Now.
20 00:03:19.770 ⇒ 00:03:26.985 Caio Velasco: Yes. And then I would start on this. Yeah. Related to a client.
21 00:03:27.540 ⇒ 00:03:38.456 Amber Lin: Yeah, cool. Oh, I remember, I saw your Linkedin. I was like, Wow, you post a lot. And then I tried to read your post, and I was like Oh, oh, oh! And I don’t understand.
22 00:03:38.760 ⇒ 00:03:39.590 Caio Velasco: That’s good.
23 00:03:39.990 ⇒ 00:03:43.219 Caio Velasco: Yeah, some are in English, some are in Portuguese.
24 00:03:44.640 ⇒ 00:03:47.299 Caio Velasco: But yeah, it depends on the on the message.
25 00:03:47.610 ⇒ 00:03:49.800 Amber Lin: Wow! What do you post about.
26 00:03:51.330 ⇒ 00:04:00.300 Caio Velasco: It really depends on well, sometimes immigration and life abroad, and you know, coming from, let’s say.
27 00:04:01.182 ⇒ 00:04:11.700 Caio Velasco: well, 3rd World country to 1st world country kind of things. And sometimes I try to go
28 00:04:12.020 ⇒ 00:04:19.019 Caio Velasco: into areas that I like in data, science and econometrics, which is something that I studied
29 00:04:19.240 ⇒ 00:04:21.210 Caio Velasco: that I’m also very interested.
30 00:04:22.390 ⇒ 00:04:24.639 Caio Velasco: But it’s like outside of data engineering.
31 00:04:25.480 ⇒ 00:04:31.831 Caio Velasco: And yeah, and then it depends whatever is in on my mind that I feel that people can
32 00:04:33.230 ⇒ 00:04:39.189 Caio Velasco: learn from it, or or or something like that. It really depends on the mood as well.
33 00:04:39.720 ⇒ 00:04:51.730 Amber Lin: Wow, because I’ve been trying to post more. But it’s it’s like I, every time I want to respect this writing. And then it. I I just don’t end up posting.
34 00:04:53.060 ⇒ 00:04:54.949 Caio Velasco: Yeah, I have those times when when I.
35 00:04:54.950 ⇒ 00:04:55.890 Amber Lin: If I start.
36 00:04:55.890 ⇒ 00:05:05.919 Caio Velasco: Something I and I start writing. And then, even if I wrote like 5 paragraphs, and somehow I’m not comfortable, I just delete, and I don’t post it.
37 00:05:06.450 ⇒ 00:05:07.089 Amber Lin: If I don’t.
38 00:05:07.090 ⇒ 00:05:08.729 Caio Velasco: Think about it, I’ll post it.
39 00:05:08.990 ⇒ 00:05:12.320 Amber Lin: Oh, gosh! It was like, I
40 00:05:12.420 ⇒ 00:05:23.779 Amber Lin: I want to post more. And I think a lot about all this stuff, and if it’s not posted. I feel like I’m wasting wasting my writing even.
41 00:05:24.680 ⇒ 00:05:25.910 Amber Lin: Yeah.
42 00:05:25.910 ⇒ 00:05:27.342 Caio Velasco: I mean, it happens
43 00:05:28.440 ⇒ 00:05:34.650 Caio Velasco: And somehow, I think with time people do connect with things you write. So that’s what keeps you
44 00:05:34.930 ⇒ 00:05:36.010 Caio Velasco: doing. It.
45 00:05:37.470 ⇒ 00:05:41.475 Caio Velasco: And sometimes also for me. It was like generating like
46 00:05:42.120 ⇒ 00:05:53.430 Caio Velasco: business ideas, or something like one time I wanted to build like a full statistics course. And I know people are interested, especially when they want to work with data.
47 00:05:53.430 ⇒ 00:05:53.880 Amber Lin: Hmm.
48 00:05:53.880 ⇒ 00:06:00.900 Caio Velasco: I try like to just see if there’s demand. So sometimes I do something also more like business oriented. Yeah.
49 00:06:01.520 ⇒ 00:06:03.269 Amber Lin: That’s really interesting.
50 00:06:03.570 ⇒ 00:06:04.630 Amber Lin: Oh.
51 00:06:05.280 ⇒ 00:06:23.339 Amber Lin: I have not responded. I texted both of them in the Channel, and I texted them individually. I don’t think any of them are online. So we can just talk about, we can just talk about urban stems. Do you have any questions about what’s going on or what we are gonna do.
52 00:06:24.440 ⇒ 00:06:32.809 Caio Velasco: Yeah, maybe like what in what stage is this client already with us? Or if we haven’t, if we have done anything
53 00:06:32.920 ⇒ 00:06:36.629 Caio Velasco: for them yet, or them a lot. It’s working on.
54 00:06:36.940 ⇒ 00:06:37.770 Amber Lin: Yeah, this.
55 00:06:37.770 ⇒ 00:06:39.489 Caio Velasco: What are expectations for me.
56 00:06:39.830 ⇒ 00:07:08.889 Amber Lin: Yeah. So this one we’ve already went into phase 2. So phase one, we were helping them batch a lot of their inventory models because we were helping them prepare for mother’s Day. Urban stems is a flower company, and so, you know, a lot of flower companies. They get a lot of business when it’s mother’s day right? And so for the past, like
57 00:07:09.210 ⇒ 00:07:19.620 Amber Lin: 2 months, I would say we were helping them make better inventory models and trying to make that report as fast as possible.
58 00:07:19.840 ⇒ 00:07:26.509 Amber Lin: So a lot of Dvt logic, because we’re building the marts
59 00:07:27.170 ⇒ 00:07:35.920 Amber Lin: from the ground up again, because before, if you’ve seen it in the document, their marts are by source.
60 00:07:36.120 ⇒ 00:07:44.470 Amber Lin: So they have a mart for Google sheets, and they have another one, for like netsuite. But then.
61 00:07:44.890 ⇒ 00:08:01.940 Amber Lin: like, when someone needs inventory data, it goes through all these different sources. And then, there’s a lot of duplicate logic. So we wanted to build a more standardized and we wanted to build it by function. So inventory revenue
62 00:08:02.080 ⇒ 00:08:11.970 Amber Lin: marketing like this more standard way, and then apply some Dbt standards of the staging models and
63 00:08:12.150 ⇒ 00:08:14.000 Amber Lin: helping them
64 00:08:14.260 ⇒ 00:08:30.970 Amber Lin: optimize around that. So after mother’s day, which was very, very intense, and all was all of it was preparing for that very, very hectic period. And now we have more time to just build. So we have 3 main areas.
65 00:08:31.520 ⇒ 00:08:37.169 Amber Lin: Sorry I’m gonna pause here. If if I explained it clear enough of what we have done.
66 00:08:37.780 ⇒ 00:08:38.948 Caio Velasco: Yes, yes, it’s clean.
67 00:08:39.240 ⇒ 00:08:42.509 Amber Lin: Okay, okay, sounds good. And so
68 00:08:42.750 ⇒ 00:08:53.840 Amber Lin: in the next phase, we have 3 main things right? We have their redshift which is more of the warehouse
69 00:08:53.850 ⇒ 00:09:20.239 Amber Lin: performance, observability, and Dbt, which was, which is all where the logic is, gonna lie and looker, which is the dashboards, and after we talked to them. They we did notice that there was a lot of dashboards that was unused or in looker. Is not utilized in the perfect way so, but they want to be in charge of deprecating those dashboards. So
70 00:09:20.370 ⇒ 00:09:27.539 Amber Lin: and that’s something that they’re gonna do. But we’re gonna work around, looker to make it.
71 00:09:30.720 ⇒ 00:09:33.680 Amber Lin: Alright! Let me let me go find where it was.
72 00:09:34.783 ⇒ 00:09:55.470 Amber Lin: To help with the logic cause. Usually we want ideally want everything in Dvt. But then they have their manual logic or joins and filters directly in looker, and it varies team to team because people just needed something, and they just had to spin it out. So we’re gonna consolidate that. And so
73 00:09:55.470 ⇒ 00:10:05.629 Amber Lin: the logic is not actually in looker. So that’s mostly the thing we’re gonna be do for looker for Dvt. As I said, we’re gonna rebuild their models
74 00:10:06.080 ⇒ 00:10:16.820 Amber Lin: based on function, and each of them are are like pretty big tasks. We’re still finishing up inventory. And then after that, we’re gonna do like revenue, which is kind of like sales.
75 00:10:17.330 ⇒ 00:10:42.549 Amber Lin: and that will take up a big chunk of time. And other than that redshift. I think we’re gonna start right away because that sounds sets the foundation for a lot of things. So gonna work on, say, the permission, grants or ingestion ingestion, perform different performance and observer observability things in redshift. And so that kind of sets the whole
76 00:10:44.480 ⇒ 00:10:51.710 Amber Lin: whole scheme of things that we wanted to. And let’s see if you want.
77 00:10:51.710 ⇒ 00:11:08.669 Caio Velasco: A question that I have is for this DVD models that we are building from scratch are they providing the the code they already have, because I mean they, as I understand, they have things. They build a lot of things. But we do have.
78 00:11:08.670 ⇒ 00:11:19.150 Caio Velasco: Yeah, they have. They have the code that they’re using. But I don’t know how much of it is actually transferable, because we’re building it on a completely different logic.
79 00:11:20.828 ⇒ 00:11:23.281 Amber Lin: Just coded things.
80 00:11:24.650 ⇒ 00:11:30.390 Caio Velasco: So they would define the dashboard. They want the metrics, they want everything.
81 00:11:31.140 ⇒ 00:11:37.269 Amber Lin: Probably. Yes, so I think we’ll be. We’ll be working very closely with
82 00:11:37.420 ⇒ 00:12:00.299 Amber Lin: their data analyst, which is, her name is Emily. And right now. She’s also learning a bit of dbt, so I think we’ll mostly be interfacing with her, and then we’ll have people who will help us to find. Okay, this is what ultimately, I want to see out of this revenue dashboard, which is probably gonna be pretty industry standard, because revenue is just revenue like there’s not much.
83 00:12:00.300 ⇒ 00:12:01.080 Caio Velasco: Exactly.
84 00:12:01.080 ⇒ 00:12:10.409 Amber Lin: Twist to do into revenue. So in the inventory, I think we already got their definitions needed, and Demoda can tell you about that.
85 00:12:11.500 ⇒ 00:12:12.380 Caio Velasco: Okay.
86 00:12:12.380 ⇒ 00:12:21.630 Amber Lin: Yeah, and let me share this. So I we can look at what needs to be done in
87 00:12:21.800 ⇒ 00:12:26.519 Amber Lin: now. So if you scroll down from this document right? There’s the
88 00:12:27.060 ⇒ 00:12:37.310 Amber Lin: next phase tickets, and there’s a few other views that we can see. So if we say by cycle. And
89 00:12:38.140 ⇒ 00:12:43.369 Amber Lin: so a lot of redshift work, a little bit of looker, and that’s
90 00:12:43.630 ⇒ 00:12:53.000 Amber Lin: they’re gonna take care of that. And then we’re gonna finish the inventory remodeling. Here’s a few things and
91 00:12:54.430 ⇒ 00:12:58.279 Amber Lin: at the things we’re gonna do to the next cycle.
92 00:12:59.305 ⇒ 00:13:08.679 Amber Lin: Starting the Dbg revenue Mods and then finishing up inventory a little bit looker.
93 00:13:09.510 ⇒ 00:13:14.969 Amber Lin: So if you wanna go into that I’ll be helpful, too. I I don’t think there’s anything inside
94 00:13:15.200 ⇒ 00:13:19.809 Amber Lin: but that will give you a sense of how we’re planning to do the work.
95 00:13:21.300 ⇒ 00:13:22.060 Caio Velasco: Okay.
96 00:13:22.440 ⇒ 00:13:23.180 Amber Lin: Yeah.
97 00:13:25.350 ⇒ 00:13:28.470 Caio Velasco: Okay, okay, sounds. And do you know, when? When?
98 00:13:28.680 ⇒ 00:13:33.790 Caio Velasco: When would we or I actually start
99 00:13:33.920 ⇒ 00:13:38.278 Caio Velasco: like with the tickets? Linear like, when were we gonna go through the like
100 00:13:40.800 ⇒ 00:13:41.790 Amber Lin: I think
101 00:13:41.790 ⇒ 00:13:52.660 Amber Lin: once we meet with them today, we already signed the contract, so I I would imagine you would start immediately. So
102 00:13:52.770 ⇒ 00:14:01.539 Amber Lin: a Demo will help you get up to speed. And honestly, I’ll just start assigning tickets to you. If that’s okay, or do you want a little bit more time.
103 00:14:02.860 ⇒ 00:14:19.520 Caio Velasco: No, no, I think I can. I can start like at any any time like tomorrow whatever, because I’m finishing up with the data platform. But there’s not much left for that. I’m okay. And do you have an idea of how many hours I would be working per week? Or what is the expectations.
104 00:14:19.972 ⇒ 00:14:28.120 Amber Lin: Right now we’re estimating that both you and Dominoli will each take on around 20 h of work.
105 00:14:28.790 ⇒ 00:14:36.970 Amber Lin: So that’s our estimate. There will be sometimes a bit higher, but probably sometimes a bit lower at 1st as we ramp up.
106 00:14:37.150 ⇒ 00:14:41.580 Amber Lin: But I do think that was in a contract, so
107 00:14:41.850 ⇒ 00:14:43.260 Amber Lin: we should be good of 20.
108 00:14:43.260 ⇒ 00:14:47.570 Caio Velasco: Per week, great per week, right.
109 00:14:47.840 ⇒ 00:14:48.860 Amber Lin: Yeah. Per week.
110 00:14:50.200 ⇒ 00:14:51.540 Caio Velasco: Okay. Cool. Sounds good.
111 00:14:53.350 ⇒ 00:14:56.510 Amber Lin: Of course I don’t think they’re gonna come to this meeting. Oh, wow!
112 00:14:57.140 ⇒ 00:15:00.985 Amber Lin: Oh, yeah, let me.
113 00:15:13.960 ⇒ 00:15:16.640 Caio Velasco: And they wanna keep look as I understand right?
114 00:15:16.940 ⇒ 00:15:18.673 Amber Lin: Yeah, they do. They do.
115 00:15:19.740 ⇒ 00:15:43.299 Amber Lin: They’re also for inject. Mostly the tool part is that for ingestion we introduced polyatomic to them, but they don’t think they want to completely switch over. They have 2 more tools. One’s called hevo, and one’s called stitch it’s a lot cheaper than polyatomic, according to them. So
116 00:15:43.360 ⇒ 00:15:51.920 Amber Lin: kind of keeping those 3 tools. It’s not optimal, but we’re keeping all 3 of them for now. But that’s mostly where the tools are.
117 00:15:53.510 ⇒ 00:15:54.670 Caio Velasco: Friend, yeah.
118 00:15:56.085 ⇒ 00:16:06.150 Caio Velasco: Posted in the chat a link for the the spreadsheet that I found on the notion pages shared. Is this the the one you guys have been working with.
119 00:16:06.819 ⇒ 00:16:22.560 Amber Lin: Yeah, I shared. I just commented on it before our meeting. So let me let me know how it how it is. I believe that’s the one, though I have not worked on this spreadsheet. So you’ll need to ask about what’s going on.
120 00:16:23.320 ⇒ 00:16:24.030 Caio Velasco: Okay.
121 00:16:24.030 ⇒ 00:16:24.770 Amber Lin: Yeah.
122 00:16:25.530 ⇒ 00:16:26.350 Caio Velasco: Perfect.
123 00:16:26.610 ⇒ 00:16:27.870 Caio Velasco: Yeah, that’s the one
124 00:16:31.240 ⇒ 00:16:31.835 Caio Velasco: cool.
125 00:16:32.430 ⇒ 00:16:36.730 Amber Lin: Okay, sounds good.
126 00:16:37.715 ⇒ 00:16:40.240 Amber Lin: I’ll talk to you later.
127 00:16:40.240 ⇒ 00:16:43.620 Caio Velasco: Okay, talk to you later. It’s a must.
128 00:16:44.170 ⇒ 00:16:52.379 Amber Lin: Yeah. Yeah. Oh, wait. I think you have a data platform planning sprint at the same time. We’re look. We’re meeting with the clients.
129 00:16:53.400 ⇒ 00:16:57.030 Caio Velasco: Yes, I saw that I I told the wish, but he said that
130 00:16:57.150 ⇒ 00:16:59.270 Caio Velasco: he can’t change for the other. So.
131 00:16:59.460 ⇒ 00:17:00.230 Caio Velasco: But yeah.
132 00:17:00.820 ⇒ 00:17:02.000 Amber Lin: And
133 00:17:02.170 ⇒ 00:17:13.159 Amber Lin: I see, I see. I mean, I guess you’re leading the data platform for over stems, like, I think it’s it’s okay. If me. We talked to a lot of leads it.
134 00:17:13.530 ⇒ 00:17:18.719 Amber Lin: and then we’ll update you. Or maybe you can watch the recording as well.
135 00:17:20.210 ⇒ 00:17:24.570 Caio Velasco: You mean for the data platform? Right? Because for the urban stamp or the.
136 00:17:25.030 ⇒ 00:17:29.819 Amber Lin: Do you? Are you gonna go to urban stems? Or are you gonna go to data platform.
137 00:17:31.000 ⇒ 00:17:36.989 Caio Velasco: Is more to you deciding if it’s priority, or I mean for me.
138 00:17:37.560 ⇒ 00:17:42.690 Caio Velasco: either cause. What I need from a program standards now is basically talking with Emilade and
139 00:17:42.960 ⇒ 00:17:44.750 Caio Velasco: and understanding. Next steps.
140 00:17:45.050 ⇒ 00:17:45.840 Amber Lin: Yeah, think.
141 00:17:45.840 ⇒ 00:17:49.339 Caio Velasco: Yeah, yeah, that I don’t need to go to the meeting. I’m okay.
142 00:17:50.360 ⇒ 00:17:53.509 Amber Lin: What do you need to do for data? Platform?
143 00:17:55.440 ⇒ 00:17:58.040 Caio Velasco: For the platform. Basically finish
144 00:17:58.490 ⇒ 00:18:05.010 Caio Velasco: what I’ve been the one for Pool Park, which is basically done. And now starting the one for other steps.
145 00:18:05.420 ⇒ 00:18:08.640 Caio Velasco: but since we haven’t done any work for it, so I mean.
146 00:18:08.640 ⇒ 00:18:09.300 Amber Lin: I see.
147 00:18:09.300 ⇒ 00:18:11.550 Caio Velasco: Just the structure, right? That that I can make.
148 00:18:12.084 ⇒ 00:18:14.220 Amber Lin: I guess you can
149 00:18:14.330 ⇒ 00:18:23.519 Amber Lin: go like, would you be able to finish the data platform meeting in 10 min for you like, just update them 10 min and then jump to a response.
150 00:18:24.340 ⇒ 00:18:27.309 Caio Velasco: Yeah, no, I think I can. I can participate on our.
151 00:18:27.310 ⇒ 00:18:29.690 Amber Lin: Okay, okay. Sounds good. Sounds good.
152 00:18:31.000 ⇒ 00:18:34.940 Amber Lin: Oh, Hi! We were about to end the meeting. Good thing you joined.
153 00:18:36.710 ⇒ 00:18:40.530 Uttam Kumaran: No, we, this meeting needs to happen. That’s good.
154 00:18:40.530 ⇒ 00:18:44.380 Uttam Kumaran: Talk about what we’re going to talk about for the client meeting later. So.
155 00:18:44.380 ⇒ 00:18:47.949 Amber Lin: Oh, yeah, I’m glad we’re 20 min in I ping.
156 00:18:48.445 ⇒ 00:18:48.940 Uttam Kumaran: Sorry.
157 00:18:48.940 ⇒ 00:18:51.713 Uttam Kumaran: I was just an AI team meeting.
158 00:18:52.430 ⇒ 00:18:53.430 Amber Lin: Okay.
159 00:18:55.360 ⇒ 00:18:57.740 Uttam Kumaran: Well, so, yeah, I mean, my goal is.
160 00:19:03.320 ⇒ 00:19:03.840 Uttam Kumaran: Where.
161 00:19:04.740 ⇒ 00:19:12.860 Amber Lin: Oh, oh, wait! Don’t say again! I think I think your audio is a little.
162 00:19:12.860 ⇒ 00:19:17.360 Uttam Kumaran: Oh, okay, that I’m probably.
163 00:19:17.550 ⇒ 00:19:20.620 Uttam Kumaran: And Kyle leading.
164 00:19:22.370 ⇒ 00:19:22.840 Amber Lin: Oh!
165 00:19:22.840 ⇒ 00:19:26.764 Uttam Kumaran: Here, let me let me let me, dot. Can you? Can you send me the
166 00:19:27.200 ⇒ 00:19:30.009 Uttam Kumaran: Can you slack me the dial instructions I’ll dial in. I’m just.
167 00:19:30.010 ⇒ 00:19:33.300 Amber Lin: Oh, okay. Okay, yeah. Give me a sec.
168 00:21:16.610 ⇒ 00:21:17.610 19257868273: Hey, guys, can you hear me?
169 00:21:17.610 ⇒ 00:21:18.300 Amber Lin: Bye.
170 00:21:19.180 ⇒ 00:21:23.710 19257868273: Yes, cool, I guess what I was saying is like
171 00:21:24.170 ⇒ 00:21:27.709 19257868273: So on this client it’ll be
172 00:21:28.396 ⇒ 00:21:32.849 19257868273: demolante and Kyle, both of you guys leading
173 00:21:33.190 ⇒ 00:21:37.040 19257868273: on the analytics engineering side and then amber project managing.
174 00:21:37.190 ⇒ 00:21:43.550 19257868273: I’ll still be involved on as much as I can be involved in. But at minimum planning.
175 00:21:43.860 ⇒ 00:21:45.409 19257868273: roofing and retro.
176 00:21:46.222 ⇒ 00:21:54.009 19257868273: But yeah, this, the client work takes precedence over all the internal work. So
177 00:21:54.568 ⇒ 00:21:57.150 19257868273: this is the the priority, for sure.
178 00:21:59.510 ⇒ 00:22:00.220 Amber Lin: Hmm!
179 00:22:01.390 ⇒ 00:22:11.510 Amber Lin: So they’ve signed the contract and we already have tickets planned per cycle. What are the goals we’re trying to achieve this meeting.
180 00:22:13.780 ⇒ 00:22:17.389 19257868273: So what? So I just want to start with, like is, so.
181 00:22:18.230 ⇒ 00:22:26.289 19257868273: Kyle, you’re you’re good to start with these guys right? I just wanna make sure there’s no confusion like, you know you’re assigned on this client, and like you’re
182 00:22:26.420 ⇒ 00:22:27.449 19257868273: good to go.
183 00:22:29.240 ⇒ 00:22:45.020 Amber Lin: Yeah. We spent the earlier part of this meeting talking over the current state and what we will be working on. And Kyle has access to the different channels, and the spreadsheet. And our notion, Doc.
184 00:22:45.230 ⇒ 00:22:52.979 Amber Lin: I think just remaining is the various tools which I think Demode or Emily will be able to help.
185 00:22:54.200 ⇒ 00:22:57.749 19257868273: Yeah. So there’s a couple of goals for this next meeting. One is.
186 00:22:57.750 ⇒ 00:22:58.420 Amber Lin: Hmm.
187 00:22:58.788 ⇒ 00:23:03.950 19257868273: I, I think we should own we should plan this work in our linear.
188 00:23:04.240 ⇒ 00:23:08.660 19257868273: And we we need to run basically stand ups every day for.
189 00:23:08.740 ⇒ 00:23:09.500 Amber Lin: All right.
190 00:23:09.500 ⇒ 00:23:10.470 19257868273: This client.
191 00:23:11.123 ⇒ 00:23:26.309 19257868273: So amber you’ll be running that we be. We need to start. We need to basically build a backlog. I think that, and you will will sort of lead that so building a backlog of tickets to work on, we have that entire document. So those are the priorities.
192 00:23:26.310 ⇒ 00:23:26.700 Amber Lin: -
193 00:23:27.017 ⇒ 00:23:34.310 19257868273: So basically, yeah, linear needs to get set up. Emily is going to be joining those. And so I want to have Emily
194 00:23:34.420 ⇒ 00:23:40.900 19257868273: like like, take on tickets as just as we do we would so.
195 00:23:40.900 ⇒ 00:23:44.410 Amber Lin: Are her tickets limited to looker or everything?
196 00:23:45.520 ⇒ 00:23:47.069 19257868273: No, her tickets are everything.
197 00:23:47.070 ⇒ 00:23:48.340 Amber Lin: Okay, it sounds good.
198 00:23:49.420 ⇒ 00:23:51.100 19257868273: Yeah, our tickets are everything.
199 00:23:51.240 ⇒ 00:24:04.989 19257868273: So she, she just joins. Basically, our team is the proposal. And like is is working with us like Alex, and that can be on that stand up. But we certainly need to run some sort of like
200 00:24:05.260 ⇒ 00:24:09.909 19257868273: weekly, like, kind of how what we do for ABC, where we’re showing what we did.
201 00:24:09.910 ⇒ 00:24:10.440 Amber Lin: Okay.
202 00:24:10.600 ⇒ 00:24:11.509 Amber Lin: Sounds good.
203 00:24:11.913 ⇒ 00:24:13.930 19257868273: I certainly need to run
204 00:24:14.270 ⇒ 00:24:17.730 19257868273: like stand ups and and planning on like a 2 week basis.
205 00:24:28.190 ⇒ 00:24:30.700 Amber Lin: Cool, not good.
206 00:24:34.410 ⇒ 00:24:36.509 19257868273: So what other what other questions?
207 00:24:39.930 ⇒ 00:24:51.920 Amber Lin: So the tone of this meeting is to make sure that they are they’re on board with joining those stand ups, and that they have expectations that I’m gonna go book the book that with them.
208 00:24:54.180 ⇒ 00:24:59.899 Amber Lin: Any other like expectations we want to set for them beef in this meeting.
209 00:25:02.784 ⇒ 00:25:13.159 19257868273: I think that that’s mainly it. I mean, I I my goal is like, I’m not gonna be directly involved. So Demote is gonna be sort of like the technical lead.
210 00:25:13.280 ⇒ 00:25:19.110 19257868273: So it’ll be up to you and him to work on like, what are the priorities?
211 00:25:19.210 ⇒ 00:25:20.670 19257868273: What are the key.
212 00:25:21.420 ⇒ 00:25:23.309 19257868273: Tickets and working on them.
213 00:25:23.820 ⇒ 00:25:32.980 19257868273: I I definitely want to come to planning, and I definitely want to come to the Friday meeting and like the retro, and then you could add me to the stand. Ups. I’ll join. But like
214 00:25:33.400 ⇒ 00:25:38.009 19257868273: I really want to see us make some good progress in this like this next 2 weeks?
215 00:25:40.160 ⇒ 00:25:44.470 19257868273: And so I think, basically, by mid next week, I want to get a sense for like.
216 00:25:44.810 ⇒ 00:25:57.269 19257868273: okay, them a lot. I already knows a lot of the client. Kyle is up to speed and is starting to take on tickets and and working through things. The nice thing about these guys is that not? It’s not dashboarding work. It’s a lot of refactoring work.
217 00:25:57.490 ⇒ 00:26:00.589 19257868273: It’s a lot of cleanup. And it’s a lot of documentation work.
218 00:26:01.010 ⇒ 00:26:05.129 19257868273: But again, I wanna I want them a lot of sort of lead.
219 00:26:05.250 ⇒ 00:26:07.150 Amber Lin: What is getting worked on.
220 00:26:08.900 ⇒ 00:26:09.390 Amber Lin: And.
221 00:26:09.390 ⇒ 00:26:09.920 19257868273: You’ll be like.
222 00:26:09.920 ⇒ 00:26:10.500 Amber Lin: Also.
223 00:26:10.500 ⇒ 00:26:11.380 19257868273: Partner, there.
224 00:26:11.380 ⇒ 00:26:17.159 Amber Lin: Great the client has expectations that you’re not gonna be as involved right.
225 00:26:18.940 ⇒ 00:26:42.509 19257868273: Yeah, I mean that, like all this information is already in that we already we already gave all this information. So if you recall from the last last time we met them I mentioned that it’s gonna be Kyle and demalade that are leading on the architects engineering side. You’re leading on the Pn side. I’m helping on the architecture, and like anything they need for for vendors. But yes, like.
226 00:26:42.780 ⇒ 00:26:43.170 Amber Lin: Great.
227 00:26:43.170 ⇒ 00:26:47.099 19257868273: There’s they signed up on that document. So anything. That document is what we’re doing.
228 00:26:47.100 ⇒ 00:26:51.339 Amber Lin: Fantastic. I think this meeting is gonna be
229 00:26:53.460 ⇒ 00:27:01.310 Amber Lin: more like a it is a kickoff. So we’ll make sure that, hey, these are the 1st tickets that we’re gonna work on, and.
230 00:27:02.575 ⇒ 00:27:02.920 19257868273: Yeah.
231 00:27:02.920 ⇒ 00:27:04.649 Amber Lin: I don’t think it’ll take very long.
232 00:27:06.470 ⇒ 00:27:15.419 19257868273: Yes, I definitely want to get the schedule down. I just wanna I just wanna be very careful and like this something I’m sharing with all clients
233 00:27:15.710 ⇒ 00:27:30.550 19257868273: is that our job is to come across the clients like we’re the experts in the room, and we know what we’re doing so anytime, and this client has a lot of stuff that we don’t know. There’s a there’s a huge amount of code that we’re digging through.
234 00:27:30.800 ⇒ 00:27:36.410 19257868273: So this is for for me, for amber, for Kyle, for Demo on it anytime. There’s
235 00:27:36.620 ⇒ 00:27:40.689 19257868273: things we don’t know do not express that like
236 00:27:40.870 ⇒ 00:27:49.000 19257868273: lot link to the client saying like I don’t know. I don’t know. I think the goal for us to say we will figure it out, and we’ll come back to you with the answer.
237 00:27:49.330 ⇒ 00:27:56.490 19257868273: I know we had. We had the same feedback for a matter more. So I just want to be very clear. This is a client where there’s a lot of unknown
238 00:27:58.150 ⇒ 00:28:06.490 19257868273: and there’s a lot of things we don’t immediately know. And so just be very careful that, like, if anything deflect to amber.
239 00:28:06.700 ⇒ 00:28:10.690 19257868273: and then for amber, I would just make sure that anything that there’s an unknown.
240 00:28:10.920 ⇒ 00:28:14.569 19257868273: Your your job is to say we’ll figure it out and we’ll get back to you. That’s it.
241 00:28:14.570 ⇒ 00:28:18.250 Amber Lin: Yeah, yeah, totally. Well, I learned my lesson.
242 00:28:18.710 ⇒ 00:28:21.600 19257868273: Yes. So I just wanna make that very clear, because
243 00:28:21.920 ⇒ 00:28:23.839 19257868273: it’s hurting us on some clients.
244 00:28:24.080 ⇒ 00:28:26.640 19257868273: and our job is to portray confidence.
245 00:28:26.780 ⇒ 00:28:30.920 19257868273: and we may not know, and that’s fine, but our job to say we will figure it out.
246 00:28:31.510 ⇒ 00:28:33.880 19257868273: Like they’re coming to us for our expertise.
247 00:28:35.381 ⇒ 00:28:39.729 19257868273: And so if we’re like, we also don’t know, then they’re like, who knows? You know.
248 00:28:40.310 ⇒ 00:28:47.940 19257868273: So I wanna make that really fair. I guess, Kyle, any questions you’ve been. You’ve been sort of quiet like anything I can answer.
249 00:28:48.340 ⇒ 00:28:49.250 19257868273: and.
250 00:28:50.980 ⇒ 00:28:52.790 Caio Velasco: Yeah, so far, so good. I think
251 00:28:52.950 ⇒ 00:28:59.359 Caio Velasco: the the next thing would be to like. Meet them and and see how it goes, and see what formula they can share with me to
252 00:28:59.540 ⇒ 00:29:07.359 Caio Velasco: to get me to speak. But yeah, I’m I’m on board. Yeah. And for what you just said, it’s basically fake it until you make it.
253 00:29:10.250 ⇒ 00:29:12.910 19257868273: You know, you know what I mean? Right? Like, I think, yeah.
254 00:29:12.910 ⇒ 00:29:16.370 19257868273: One thing I’m learning and I’ve been doing. I’ve been doing a lot of more reading about
255 00:29:16.710 ⇒ 00:29:19.580 19257868273: sort of the type of work that we do
256 00:29:21.010 ⇒ 00:29:24.209 19257868273: like. We we’re we’re doing for clients. And I think
257 00:29:24.410 ⇒ 00:29:33.229 19257868273: for us, we need to come across as like the oracle and the experts, I think, in some way. Yes, it is. Fake it till you make it, but it’s almost just like yo, we need the 24 h to go figure it out
258 00:29:33.430 ⇒ 00:29:38.150 19257868273: right like we’re we’re confident, any problem you throw at us. We’ll figure it out. We’ll come back to you.
259 00:29:38.320 ⇒ 00:29:54.149 19257868273: So that’s it. I think the where we should, where we have to be different than what they’re. The reason they brought us on is because they they don’t have the experience and they don’t, someone else told them. I don’t know. So our job is to make whoever’s asking. We need to make their job easier, and we need to make them.
260 00:29:54.390 ⇒ 00:30:04.650 19257868273: whatever their incentive is, whether it’s like they want a promotion. They want more money. They want more like they. They’re interested in learning. We want to help them succeed.
261 00:30:04.830 ⇒ 00:30:09.699 19257868273: And so for us it’s just exactly that. Just be like, hey? I don’t know it. But let me let me get back to you
262 00:30:09.860 ⇒ 00:30:13.300 19257868273: this client. There’s a lot of that. So that’s the only reason I’m stressing. That is like
263 00:30:13.540 ⇒ 00:30:19.639 19257868273: when you can ask them a lot. There’s a lot of things that they’re like. Oh, do you know, like this random thing? And it’s like
264 00:30:19.840 ⇒ 00:30:26.089 19257868273: dude, that is some like very entrenched business logic that, like, I need like a few hours to go figure out
265 00:30:26.300 ⇒ 00:30:27.360 19257868273: so
266 00:30:28.210 ⇒ 00:30:35.009 19257868273: just like, just defer and ticket it. And the number. One thing I think, for these guys is they operate on sprints.
267 00:30:35.200 ⇒ 00:30:41.120 19257868273: So they’re very. They’re very comfortable with tickets we have signed like, for.
268 00:30:41.660 ⇒ 00:30:44.319 19257868273: you know plenty of time per week.
269 00:30:45.002 ⇒ 00:30:50.488 19257868273: To work with them. So let’s focus on on getting the job done.
270 00:30:51.270 ⇒ 00:30:54.850 19257868273: and then I want to loop Emily in on as much as possible.
271 00:30:55.850 ⇒ 00:31:02.059 19257868273: Ideally, I want us to run this on our linear board and then for for us every week to present outcomes.
272 00:31:02.220 ⇒ 00:31:09.869 19257868273: So the couple of things that we we probably weren’t doing well on like Javi. And I think for a couple of clients is we need to show
273 00:31:10.130 ⇒ 00:31:23.530 19257868273: what is happening every week, like very, very clearly, like what got done, where they can access it, where they can see it, and who validated it right? And so Emily is, gonna be really good. But what you’ll learn is that Emily doesn’t have
274 00:31:23.950 ⇒ 00:31:33.470 19257868273: cloud in the business, meaning like she is our partner. But she isn’t like the decision maker, so our job is to get sign off from Zack.
275 00:31:34.110 ⇒ 00:31:35.500 19257868273: Get signed off from Alex.
276 00:31:35.880 ⇒ 00:31:41.800 19257868273: and then you’ll meet a couple of other characters in the business. The lovely thing is, they have analysts.
277 00:31:42.020 ⇒ 00:31:48.429 19257868273: So Kyle, they they have people in the business that are using looker every day that are really smart. So we’re just focusing
278 00:31:48.600 ⇒ 00:31:58.960 19257868273: very much on data modeling and data engineering work, which is great, which means that you can go a little bit slower and be a little bit methodical. We’re not doing dashboard stuff for them
279 00:31:59.070 ⇒ 00:31:59.980 19257868273: at all.
280 00:32:00.160 ⇒ 00:32:07.370 19257868273: Okay, but the the tricky part is, they have 8 years worth of Dbc code.
281 00:32:07.480 ⇒ 00:32:08.429 19257868273: Good. Thank you.
282 00:32:08.680 ⇒ 00:32:13.090 19257868273: In this rebuff. So it’s like quite a bit to uncover.
283 00:32:13.210 ⇒ 00:32:18.169 19257868273: But we’re gonna start building. We’re starting with finish up. We have a couple of mark scheduled
284 00:32:18.691 ⇒ 00:32:26.839 19257868273: to work on. And so again, Demoda has a ton of context on on that. So I’ll leave it to him, I think, where I can be helpful is
285 00:32:27.010 ⇒ 00:32:32.040 19257868273: on client communication, like if we’re having trouble with client, or who to talk to
286 00:32:32.483 ⇒ 00:32:40.379 19257868273: and then second on vendor. So if we’re like, Hey, we need to bring in a new tool, or we need to make things edits on redshift. Bring me in.
287 00:32:40.510 ⇒ 00:32:44.710 19257868273: Otherwise I want. I want sort of devilatic to delete sort of the the day to day.
288 00:32:45.320 ⇒ 00:32:46.030 Amber Lin: Yeah. Great.
289 00:32:46.030 ⇒ 00:32:47.800 19257868273: It’d be a good test for us. Yeah.
290 00:32:49.970 ⇒ 00:32:53.850 Caio Velasco: It sounds good to me, and and it seems also that it’s like a very good
291 00:32:54.350 ⇒ 00:33:01.029 Caio Velasco: opportunity to validate the the knowledge base and the spreadsheet that we are building, because after I read.
292 00:33:01.030 ⇒ 00:33:02.120 19257868273: Yeah. No.
293 00:33:02.120 ⇒ 00:33:07.469 Caio Velasco: They have like so many problems. And they wanna organize so many things. I think that’s the core.
294 00:33:08.780 ⇒ 00:33:14.530 19257868273: You are 100%. Right? It’s actually part of the reason I wanted you on this project, because
295 00:33:14.760 ⇒ 00:33:21.840 19257868273: these guys truly are using data in their business every day. They’re not like Joby, where it’s like
296 00:33:22.470 ⇒ 00:33:31.469 19257868273: you, you kind of like, yes and no. These guys are really using it. They have a lot of money on the line, but they have so much garbage that they have disorganized.
297 00:33:31.590 ⇒ 00:33:36.689 19257868273: And so the data platform documentation is a great opportunity to do that.
298 00:33:36.860 ⇒ 00:33:40.510 19257868273: The FAQ sort of structure is a great you’re gonna find that like.
299 00:33:40.710 ⇒ 00:33:43.200 19257868273: there’s so much jargon in this business.
300 00:33:43.747 ⇒ 00:33:48.829 19257868273: That I think the way you answer your questions and document it. It’s gonna be so helpful for them.
301 00:33:50.370 ⇒ 00:33:52.730 19257868273: So like. And again, we have 6 months.
302 00:33:52.910 ⇒ 00:33:56.709 19257868273: So like we have a good amount of runway to work on these things.
303 00:33:56.890 ⇒ 00:34:03.060 19257868273: Part of the benefit of having 6 months is that we know we we’re not like every month sort of like proving our worth.
304 00:34:03.350 ⇒ 00:34:09.589 19257868273: However, I think, for amber. This is your job to make sure. Every week they have a succinct
305 00:34:09.880 ⇒ 00:34:13.310 19257868273: slide on like we got this done this week.
306 00:34:13.760 ⇒ 00:34:26.670 19257868273: We crushed it right like that’s what we want there to feeling to be right? Like we want the one week, one week or 2 week like, Hey, we got all this great stuff done, and then that’s gonna allow us to continue to have peace and calm for 6 months.
307 00:34:31.289 ⇒ 00:34:31.819 Amber Lin: Totally.
308 00:34:31.820 ⇒ 00:34:34.529 19257868273: The best thing to understand is to ask
309 00:34:35.260 ⇒ 00:34:40.760 19257868273: very clearly in the meeting. Say, what are your expectations for us as a partner like?
310 00:34:40.889 ⇒ 00:34:43.120 19257868273: Do you want something every week?
311 00:34:43.290 ⇒ 00:34:45.509 19257868273: Do you want like a sprint report
312 00:34:45.659 ⇒ 00:34:57.759 19257868273: like? Do you want us to like like share a loom? Do you want us to meet with some other people like I I would ask him pretty bluntly like, what are your expectations? He will tell you.
313 00:34:58.460 ⇒ 00:35:07.709 19257868273: I I will help you fill that the gap in, if it’s anything that’s confusing. But that’s a really good question for him. Just the way you asked me to ask him, what are your expectations.
314 00:35:08.000 ⇒ 00:35:15.630 19257868273: I would really try, though, if we can make it happen to to own this stuff in linear and to own that stand up
315 00:35:15.750 ⇒ 00:35:18.920 19257868273: because their Jira board sucks. Really, really.
316 00:35:20.420 ⇒ 00:35:21.090 Amber Lin: Sounds good.
317 00:35:21.090 ⇒ 00:35:22.850 19257868273: But we’ll see. Yeah.
318 00:35:26.200 ⇒ 00:35:35.000 Amber Lin: I’m you know I’m I’ve already started a bit on linear. Hopefully, I can just show them something so that cool. This is pretty good.
319 00:35:35.140 ⇒ 00:35:37.679 Amber Lin: and they’ll use linear instead.
320 00:35:38.160 ⇒ 00:35:43.430 19257868273: Yeah, maybe even like, if you have a moment before the meeting, send them a little agenda.
321 00:35:43.850 ⇒ 00:35:44.660 Amber Lin: Okay.
322 00:35:45.460 ⇒ 00:35:50.369 19257868273: Even at just a slack like, just say, like, Hey, I wanted to. We just wanted to walk through a couple of these things.
323 00:35:50.660 ⇒ 00:35:52.290 19257868273: We’re ready to begin.
324 00:35:53.362 ⇒ 00:35:56.890 19257868273: Kyle needs access to Xyz. Just send that to them.
325 00:35:57.850 ⇒ 00:36:01.149 19257868273: We’ll buy some brownie points, and like, keep being proactive.
326 00:36:01.460 ⇒ 00:36:03.050 Amber Lin: Alright. Sounds good
327 00:36:05.980 ⇒ 00:36:10.950 Amber Lin: Great Kyle! If you have any questions you want to ask them. La Day, you can use this meeting room.
328 00:36:13.820 ⇒ 00:36:18.870 Caio Velasco: Yeah. Well, no, I mean depends on the do you think we should discuss.
329 00:36:19.400 ⇒ 00:36:21.830 Amber Lin: I mean, there’s the spreadsheet you guys wanted to talk about.
330 00:36:23.230 ⇒ 00:36:26.293 Caio Velasco: Yeah, or that. We can also talk about that.
331 00:36:26.980 ⇒ 00:36:27.720 Caio Velasco: So.
332 00:36:27.990 ⇒ 00:36:31.649 Amber Lin: I’ll leave the room to you. I’m gonna hop and work on something.
333 00:36:31.650 ⇒ 00:36:34.250 19257868273: Yeah, I I can stay on here for a bit.
334 00:36:34.250 ⇒ 00:36:35.950 Amber Lin: Alrighty! Hey, guys!
335 00:36:36.350 ⇒ 00:36:37.010 Amber Lin: See you soon.
336 00:36:37.335 ⇒ 00:36:37.660 Caio Velasco: Right.
337 00:36:37.930 ⇒ 00:36:38.590 Demilade Agboola: Fine.
338 00:36:40.830 ⇒ 00:36:46.129 19257868273: I didn’t know you joined. I probably just reiterated a bunch of stuff. But basically, I’m like.
339 00:36:46.920 ⇒ 00:36:49.850 19257868273: there’s just a lot of of work to be done. So
340 00:36:50.451 ⇒ 00:36:53.070 19257868273: yeah, I’ll probably let you take it from there.
341 00:36:58.530 ⇒ 00:37:02.660 Demilade Agboola: That’s good. It seems Kyle has like some things he wanted to discuss. So.
342 00:37:03.910 ⇒ 00:37:25.566 Caio Velasco: No actually like what what I was asking before in the the Channel was just well, I’m I’m doing that. Those spreadsheets one per client and I had. I have a linear ticket to do it for urban urban stems as well. However, since we are starting work for them, I don’t think we have much things to put in there, or do we have
343 00:37:26.190 ⇒ 00:37:29.339 Caio Velasco: anything so far? No.
344 00:37:30.320 ⇒ 00:37:33.699 Demilade Agboola: I mean, we have done some things for them.
345 00:37:34.750 ⇒ 00:37:41.400 Demilade Agboola: And we help them build out their model the mart so some inventory models
346 00:37:42.378 ⇒ 00:37:47.910 Demilade Agboola: having built out for them. So that’s 1 that’s the place we can start from.
347 00:37:48.100 ⇒ 00:37:55.200 Demilade Agboola: But in terms of like the general, like overview of all their like models. No.
348 00:37:55.510 ⇒ 00:37:57.429 Demilade Agboola: you have a message for use. That data.
349 00:37:58.520 ⇒ 00:37:59.650 Caio Velasco: Okay. Okay.
350 00:38:00.040 ⇒ 00:38:23.240 Caio Velasco: okay, cool. Yeah. So I don’t think like can go over the discussion if I have any questions and send you, because at the end I would just need information about well, what are the injection tools, or what are their tech stack? And that would be like the business side of things. But I’m not sure if we have already the
351 00:38:24.140 ⇒ 00:38:30.660 Caio Velasco: the notion page, the the knowledge base for urban stems. You know, if we have done that, let me check.
352 00:38:35.000 ⇒ 00:38:42.250 Demilade Agboola: Believe we have actually let me hand that over to. No, there is. I think there’s a notions page for.
353 00:38:42.250 ⇒ 00:38:44.320 19257868273: There is a bunch of stuff in notion. Yeah.
354 00:38:44.320 ⇒ 00:38:46.989 Demilade Agboola: Yeah, but it wasn’t necessarily stuff
355 00:38:47.530 ⇒ 00:38:50.640 Demilade Agboola: from like, necessarily, the sprints that we just did.
356 00:38:51.570 ⇒ 00:38:55.469 Demilade Agboola: It seems like, and things had a prior prior sprint.
357 00:38:56.720 ⇒ 00:38:58.070 Caio Velasco: Okay, okay, I’ll check.
358 00:38:58.070 ⇒ 00:39:01.650 19257868273: Yeah, there was a there. There was a month where I was just working on it.
359 00:39:02.030 ⇒ 00:39:05.849 19257868273: I was auditing everything, and then we we did our mother’s day thing.
360 00:39:06.360 ⇒ 00:39:12.229 19257868273: We don’t have it in this exact document, Format Kyle, that that you proposed, but it’s there.
361 00:39:12.370 ⇒ 00:39:17.310 19257868273: but I’m pretty sure if you just copy all that into AI like it’ll help you answer.
362 00:39:17.440 ⇒ 00:39:19.669 19257868273: probably gonna run out of questions to start with.
363 00:39:22.170 ⇒ 00:39:26.240 19257868273: we actually did a lot of we actually did a lot of writing for this client.
364 00:39:28.245 ⇒ 00:39:31.860 19257868273: Throughout the process, I mean more than usual.
365 00:39:32.850 ⇒ 00:39:35.410 Caio Velasco: Do we have any diagram for for it?
366 00:39:35.700 ⇒ 00:39:36.849 Caio Velasco: Not yet.
367 00:39:36.850 ⇒ 00:39:38.940 19257868273: Yes, there is a diagram.
368 00:39:39.670 ⇒ 00:39:42.569 Demilade Agboola: Yeah, I know that. Hannah worked on it.
369 00:39:44.430 ⇒ 00:39:46.010 19257868273: Yes, there is a diagram.
370 00:39:47.440 ⇒ 00:39:54.669 Caio Velasco: Okay, okay, so I’ll post on on the data platform channel soon. And then I will ask for those things. And then you can, you guys can just
371 00:39:56.290 ⇒ 00:40:02.680 Caio Velasco: paste it any link you have in case I haven’t found yet. But I’ll do that after this meeting.
372 00:40:03.217 ⇒ 00:40:16.439 Caio Velasco: But yeah, I think for that. It’s what what I need for now. Then, next steps would be, you know, to have the meeting with the client, and then you can help me understand a bit what have been happening? And
373 00:40:16.580 ⇒ 00:40:21.169 Caio Velasco: if you have already an idea of how can I help
374 00:40:21.470 ⇒ 00:40:28.710 Caio Velasco: starting? Let’s say tomorrow or Thursday. Then I’m also open because the data platform work has been
375 00:40:29.030 ⇒ 00:40:33.110 Caio Velasco: almost completed. It’s almost done. So I I do have time.
376 00:40:35.920 ⇒ 00:40:39.999 Demilade Agboola: Okay? Sounds good. You’re going to be in the call today, right?
377 00:40:40.410 ⇒ 00:40:41.320 Caio Velasco: Yes.
378 00:40:41.320 ⇒ 00:40:46.500 Demilade Agboola: Okay, yes, I think that will also help in getting some context of what their expectations are.
379 00:40:46.850 ⇒ 00:40:50.839 Demilade Agboola: And just like, kind of what we’re going to be delivering as well, so.
380 00:40:52.020 ⇒ 00:40:53.340 19257868273: And then I think the biggest.
381 00:40:53.340 ⇒ 00:40:59.280 19257868273: Also, I think maybe them a lot, I think, probably getting on a good cadence with amber.
382 00:40:59.520 ⇒ 00:41:02.010 19257868273: so that we can do some sprint planning.
383 00:41:02.260 ⇒ 00:41:09.159 19257868273: It’s helpful versus like sort of what we were doing, which is like every week figuring things out
384 00:41:09.780 ⇒ 00:41:17.410 19257868273: as you can tell like that team. There’s a lot of like chaos, so I don’t want to rely on amber. I don’t want to rely on Emily to sort of dictate that
385 00:41:17.600 ⇒ 00:41:23.870 19257868273: so ideally like, maybe we can kick off our 1st sprint like Monday.
386 00:41:24.340 ⇒ 00:41:28.119 19257868273: and then maybe you can work with amber to sort of plan out tickets for the week.
387 00:41:29.226 ⇒ 00:41:33.139 19257868273: And have them assigned to basically Emily.
388 00:41:33.800 ⇒ 00:41:36.330 19257868273: Anything for me, Kyle, and you?
389 00:41:38.740 ⇒ 00:41:44.449 19257868273: because I think there’s a there’s a world of. There’s a bunch of stuff we can start to do. We could build up the backlog that way.
390 00:41:50.130 ⇒ 00:41:53.309 Demilade Agboola: Definitely. I think this project will be
391 00:41:53.760 ⇒ 00:41:56.059 Demilade Agboola: there. We would have to make some
392 00:41:56.260 ⇒ 00:42:00.149 Demilade Agboola: choices, I guess, about like, level of prioritization.
393 00:42:00.924 ⇒ 00:42:07.130 Demilade Agboola: But yeah, there’s just there’s just a lot of stuff, and I’m pretty sure, Kyle, once you hop in, you’ll see that.
394 00:42:07.790 ⇒ 00:42:10.909 Demilade Agboola: So I I think just this entire like
395 00:42:12.220 ⇒ 00:42:24.150 Demilade Agboola: sprints, like what this entire process of working with them will be about. Just kind of being clear what the most important things are for this project to be successful.
396 00:42:24.846 ⇒ 00:42:34.350 Demilade Agboola: Obviously, we want to like over deliver. But we also don’t want to over deliver to the point that we’re just doing things that are not within the scope of the project.
397 00:42:34.966 ⇒ 00:42:39.679 Demilade Agboola: So it’s like finding that balance between being very helpful and being like, hey?
398 00:42:40.236 ⇒ 00:42:43.919 Demilade Agboola: This is stuff that we could put probably push into like a
399 00:42:44.130 ⇒ 00:42:53.100 Demilade Agboola: month, 7 or month, 8 or something or a month. 9. So it’s just that balance between. Okay, this is something that is within our scope. Now.
400 00:42:53.580 ⇒ 00:42:57.499 Demilade Agboola: or is this stuff that we can just push back a bit? You know a bit more.
401 00:42:59.480 ⇒ 00:43:00.200 Caio Velasco: Okay.
402 00:43:00.430 ⇒ 00:43:03.570 Caio Velasco: And one thing that I also wanted to add, although I mean.
403 00:43:03.990 ⇒ 00:43:15.230 Caio Velasco: you probably know this because you have already, like many clients before, but I remember when, because since now, I I saw that Alexander might be joining us well in the near future.
404 00:43:15.666 ⇒ 00:43:35.250 Caio Velasco: I remember that when I was working with him. It was always very, very important that, you know. After those 1st meetings we have a clear idea of what are we delivering for the client, so that the client also understand that this is the scope, even though it’s always a bit flexible, of course, but I think that gives us like a good
405 00:43:35.330 ⇒ 00:43:50.039 Caio Velasco: sign, and give them a good sign that, like, you know, in 6 months we did what we had to do, or, as they might have said we even did a bit more and then, you know, that might lead to like, renew, or something. But I think that.
406 00:43:50.040 ⇒ 00:43:50.800 19257868273: Yes.
407 00:43:50.800 ⇒ 00:43:57.339 Caio Velasco: If it was clear for Javi or not, I don’t know that I didn’t start it, but for this would definitely be good to do that, everyone.
408 00:43:57.340 ⇒ 00:44:16.859 19257868273: It got more clear for Javi like towards the end. But you’re 100% right, in fact. So Alex is starting to help us with that. But this is where you guys should have expectations for amber. Right? So push like, give amber clear expectations on what you guys need to succeed, and she’ll do the same right. But you’re totally right, like
409 00:44:17.290 ⇒ 00:44:21.620 19257868273: we. I want to leave the kickoff meeting with like. Here are your expectations for us
410 00:44:22.050 ⇒ 00:44:28.150 19257868273: in one month, 2 months, 3 months, like, here’s where we’re gonna aim to hit right. And there’s always gonna be things that come up. But
411 00:44:28.470 ⇒ 00:44:33.429 19257868273: we we’re gonna we need to get much sharper there. I think we’re doing a better job like
412 00:44:33.760 ⇒ 00:44:36.479 19257868273: of getting there. I think this is where, like
413 00:44:38.310 ⇒ 00:44:54.179 19257868273: it’s expectations for everybody on the team. Right? Amber is not gonna have the technical knowledge, but she has the ability to put together that document and like sort of present on it. And then she’s gonna rely on you guys to sort of fill in the gaps on like what is exactly happening, how long it’s gonna take, what are the red flags?
414 00:44:54.650 ⇒ 00:45:02.620 19257868273: And then I’m there just help dance. So that’s I totally agree.
415 00:45:03.000 ⇒ 00:45:05.890 19257868273: And then, yeah, that that’s what’s gonna get us the renewal.
416 00:45:07.250 ⇒ 00:45:09.589 Caio Velasco: Cool, cool. Okay. Sounds good to me.
417 00:45:11.840 ⇒ 00:45:15.959 19257868273: Hey, guys, cool? Well, I’ll talk to everyone on the meeting later.
418 00:45:16.600 ⇒ 00:45:18.390 Caio Velasco: Okay, perfect. See? You guys.
419 00:45:18.750 ⇒ 00:45:19.630 19257868273: Okay. Thank you.
420 00:45:19.630 ⇒ 00:45:20.840 Demilade Agboola: Alright, bye.