Meeting Title: US x BF | Sprint Kickoff Date: 2025-06-24 Meeting participants: Zack Gibbs, Emily Giant, Amber Lin, Caio Velasco, Demilade Agboola
WEBVTT
1 00:00:15.210 ⇒ 00:00:16.270 Amber Lin: Hi Zach!
2 00:00:16.630 ⇒ 00:00:17.860 Zack Gibbs: Hello!
3 00:00:18.960 ⇒ 00:00:19.609 Zack Gibbs: How’s it going.
4 00:00:20.200 ⇒ 00:00:21.370 Amber Lin: Pretty good.
5 00:00:22.276 ⇒ 00:00:47.620 Amber Lin: I don’t know if you saw my video yesterday, I grew through the different tasks we have in a notion, and then I gave statuses to each one, and also wrote a little bit about our velocity of the last sprint, and also how many points are left compared to that velocity so hopefully. That gives you a better sense of where we’re at.
6 00:00:47.950 ⇒ 00:00:57.910 Zack Gibbs: Yeah, I I’ve I’ve I’ve watched 4 min of it so far. So I was trying to watch it at the end of my last meeting, and before that.
7 00:00:58.400 ⇒ 00:01:00.360 Amber Lin: Okay, thank you.
8 00:01:02.467 ⇒ 00:01:05.630 Amber Lin: Is everybody here? Okay, everybody’s here.
9 00:01:07.037 ⇒ 00:01:27.332 Amber Lin: Emily, we were just talking about the new ticket that you added. We broke it down into the different small tickets, and we added to this cycle, we will groom it a little bit more, but we’ll definitely include most of them there, just depending on them a lot of capacity, because I don’t think he can handle 33 points.
10 00:01:27.660 ⇒ 00:01:28.300 Emily Giant: Why not? Yeah.
11 00:01:28.793 ⇒ 00:01:42.110 Amber Lin: Yeah. And we reduce the tickets that we’re gonna do this cycle for revenue. So we can finish up the deprecation for looker and redshift, and then
12 00:01:43.670 ⇒ 00:01:47.360 Amber Lin: do the main parts for remaining in inventory.
13 00:01:48.300 ⇒ 00:01:53.090 Amber Lin: And for this kickoff session I just want everybody to have a sense of
14 00:01:54.620 ⇒ 00:02:07.359 Amber Lin: what we’re aiming for, and be okay with what we’re taking on, and that this, the due date assign, is, is reasonable for you to deliver.
15 00:02:08.570 ⇒ 00:02:09.699 Amber Lin: So
16 00:02:10.840 ⇒ 00:02:17.209 Amber Lin: I guess we can start with to see here, if we have any objections of things that we don’t think should be included
17 00:02:17.530 ⇒ 00:02:19.730 Amber Lin: in this in this cycle.
18 00:02:20.130 ⇒ 00:02:24.280 Amber Lin: So starting off with the ad hoc ones.
19 00:02:24.920 ⇒ 00:02:36.330 Amber Lin: Yes, Emily, here, all of this is for you, and I was wondering if you want to push any of these later, or you. You’re comfortable with doing them. This cycle.
20 00:02:37.981 ⇒ 00:02:44.099 Emily Giant: The polytomic Cron job is going to. They wrote back this morning, and they said they’re still on track for Friday.
21 00:02:44.100 ⇒ 00:02:44.740 Amber Lin: Okay.
22 00:02:45.470 ⇒ 00:02:48.389 Emily Giant: Overinflated revenue, reporting on.
23 00:02:48.580 ⇒ 00:02:59.019 Zack Gibbs: Just so. Just so I’m clear on the Cron job, the have we gotten push back internally about how it’s set up current? Currently it’s set up at like 2 at 2 h. Frequency. Is that right?
24 00:02:59.020 ⇒ 00:03:07.200 Emily Giant: Yes. Well, you were gone. I had to change it to 30 min. So it’s been on 3 min. For the last 2 weeks. But
25 00:03:07.780 ⇒ 00:03:08.990 Emily Giant: it’s yeah.
26 00:03:09.470 ⇒ 00:03:10.500 Zack Gibbs: 30 min!
27 00:03:10.760 ⇒ 00:03:11.279 Emily Giant: Every 30.
28 00:03:12.820 ⇒ 00:03:14.800 Zack Gibbs: Across the 24 h period.
29 00:03:15.730 ⇒ 00:03:16.350 Zack Gibbs: Okay.
30 00:03:17.050 ⇒ 00:03:28.939 Emily Giant: Yeah, not ideal. So we’ve been pushing them, though, to get that over the finish line. And they said, Friday, so that’s the 1st time that they’ve come to us, not the other way around. So I’m feeling confident about it.
31 00:03:30.470 ⇒ 00:03:31.080 Zack Gibbs: Okay.
32 00:03:31.220 ⇒ 00:03:33.730 Amber Lin: And they’re doing any of these.
33 00:03:33.920 ⇒ 00:03:40.380 Emily Giant: These are fine, the overinflated revenue reporting. I think it needs to be like alright cool
34 00:03:40.810 ⇒ 00:03:44.700 Emily Giant: roomed out a little bit to better
35 00:03:45.200 ⇒ 00:03:50.529 Emily Giant: define what that means. Because I think that like it, it’s very real
36 00:03:50.690 ⇒ 00:03:57.139 Emily Giant: related to the other ticket of like documenting the revenue models. This is more of a like
37 00:03:57.380 ⇒ 00:04:03.915 Emily Giant: urban stems, internal, like. p. 1 issue that keeps popping up.
38 00:04:05.430 ⇒ 00:04:06.940 Emily Giant: So
39 00:04:08.310 ⇒ 00:04:14.809 Emily Giant: what I, what I need to do is combine those 2 tickets, and then like subtask out what this
40 00:04:15.440 ⇒ 00:04:22.370 Emily Giant: means for brain forge versus urban stems, internal.
41 00:04:23.190 ⇒ 00:04:28.880 Amber Lin: Okay, I see. We are. Let me see, we are pushing.
42 00:04:28.980 ⇒ 00:04:31.729 Amber Lin: pushing the revenue mark a bit
43 00:04:31.880 ⇒ 00:04:34.579 Amber Lin: to a bit later. I don’t know if
44 00:04:35.280 ⇒ 00:04:51.050 Amber Lin: I don’t know how urgent this is by, might not have, like Kyle, and definitely might not have time to work on this together, because we want to finish up inventory, and so we won’t be using the working sessions to look at the revenue models with you as much.
45 00:04:51.200 ⇒ 00:04:54.530 Emily Giant: Okay, that’s totally fine. I think it’s better to like.
46 00:04:55.000 ⇒ 00:04:59.430 Emily Giant: Push the inventory mart over the finish line as opposed to revenue.
47 00:05:00.140 ⇒ 00:05:10.673 Emily Giant: unfortunately, people are like very used to the issues with revenue at this point, so the some of the like interim fixes I’ve made will help. But
48 00:05:12.923 ⇒ 00:05:19.096 Emily Giant: I guess it depends. What’s needed is me outside of the working sessions for the inventory mart.
49 00:05:19.460 ⇒ 00:05:20.090 Amber Lin: Huh!
50 00:05:21.950 ⇒ 00:05:23.040 Amber Lin: With like.
51 00:05:23.040 ⇒ 00:05:25.850 Emily Giant: Whether it include that in the sprint.
52 00:05:26.000 ⇒ 00:05:27.380 Amber Lin: I see I see.
53 00:05:29.290 ⇒ 00:05:31.949 Amber Lin: I think it more. It would be helping
54 00:05:32.360 ⇒ 00:05:47.410 Amber Lin: Kyle’s. I think we only have Kyle to get a general sense of revenue, a sort of catching up to the point where Demolata is at with knowledge about urban stems. I think I’ll push this to next cycle
55 00:05:47.670 ⇒ 00:05:51.134 Amber Lin: to, so that we can use the working sessions
56 00:05:52.230 ⇒ 00:05:57.400 Amber Lin: for either inventory or just very basic understanding of
57 00:05:57.860 ⇒ 00:06:00.450 Amber Lin: of the rune stems for Kyle.
58 00:06:00.740 ⇒ 00:06:04.161 Amber Lin: I think that’s a relatively small one.
59 00:06:04.920 ⇒ 00:06:10.030 Emily Giant: Yeah, and that one the Afs, that’s very related to all of Damalade’s tickets.
60 00:06:10.600 ⇒ 00:06:13.490 Emily Giant: Smart. So that’s that’s fine.
61 00:06:13.490 ⇒ 00:06:28.660 Amber Lin: Great. Okay, I guess, for for you, can I get a quick sense of is, I assume this is too much for you to take what tickets can you confidently complete in this 2 weeks
62 00:06:30.590 ⇒ 00:06:33.849 Amber Lin: all of your stuff is up here in inventory.
63 00:06:41.550 ⇒ 00:06:58.890 Demilade Agboola: I think we should be able to do things like 1, 6, 8, mapping the legacy adjustment types on postgres and old mapping. We should also be able to do things like 1, 6, 7 is also an easy win as well. 1, 70.
64 00:06:59.590 ⇒ 00:07:02.769 Demilade Agboola: It’s going to be the task, but should be done as well.
65 00:07:04.010 ⇒ 00:07:08.929 Demilade Agboola: And potentially 1 71.
66 00:07:11.700 ⇒ 00:07:12.700 Amber Lin: I see.
67 00:07:14.356 ⇒ 00:07:17.059 Amber Lin: I could not assign.
68 00:07:17.060 ⇒ 00:07:21.299 Emily Giant: 1 70 is gonna be like, massive.
69 00:07:21.570 ⇒ 00:07:22.830 Amber Lin: Oh! Is it.
70 00:07:23.450 ⇒ 00:07:29.680 Emily Giant: Well, I guess, understanding the building it out is going to be massive, but understanding, maybe not so much.
71 00:07:30.840 ⇒ 00:07:36.130 Emily Giant: It’s just like a spike, for, like documenting.
72 00:07:36.440 ⇒ 00:07:37.670 Amber Lin: Oh, I see!
73 00:07:37.670 ⇒ 00:07:42.409 Emily Giant: What the relationship is versus actually configuring. There’s.
74 00:07:42.410 ⇒ 00:07:48.380 Amber Lin: Oh, oh, okay. So there should be a building ticket, some eventually.
75 00:07:49.440 ⇒ 00:07:52.499 Emily Giant: And I can do that. I can take that and
76 00:07:52.620 ⇒ 00:07:59.780 Emily Giant: create documentation as opposed to having a lot of while he’s doing more of this like brass tacks.
77 00:08:00.640 ⇒ 00:08:02.790 Emily Giant: Okay, that’s a good one for me.
78 00:08:02.790 ⇒ 00:08:05.500 Amber Lin: Okay, so this one understanding this one.
79 00:08:06.370 ⇒ 00:08:07.070 Amber Lin: Okay.
80 00:08:09.620 ⇒ 00:08:10.280 Amber Lin: Anything else.
81 00:08:10.280 ⇒ 00:08:10.839 Zack Gibbs: Do we?
82 00:08:10.840 ⇒ 00:08:16.110 Zack Gibbs: We have a do we have a point, a point target per person per sprint. That’s that’s.
83 00:08:16.110 ⇒ 00:08:17.200 Amber Lin: Yeah, I’m baseline.
84 00:08:17.200 ⇒ 00:08:27.630 Amber Lin: for I’m aiming for closer to around 17 to 20 we just got these tickets this morning. So I’m trying to
85 00:08:27.790 ⇒ 00:08:31.839 Amber Lin: take some of them out, so we can complete this rent.
86 00:08:34.030 ⇒ 00:08:37.709 Emily Giant: And then I can also like, I think, part of 1, 6, 8 is.
87 00:08:38.429 ⇒ 00:08:39.979 Emily Giant: Creating documents around that like.
88 00:08:39.980 ⇒ 00:08:40.500 Amber Lin: Okay.
89 00:08:40.909 ⇒ 00:08:43.779 Emily Giant: I can create like a confluence article.
90 00:08:44.410 ⇒ 00:08:44.830 Amber Lin: Oh!
91 00:08:44.830 ⇒ 00:08:48.618 Emily Giant: Since I’ve already done like temporary mapping.
92 00:08:50.424 ⇒ 00:08:54.435 Emily Giant: we’re probably gonna need to groom that one a little more. But
93 00:08:55.280 ⇒ 00:09:09.859 Emily Giant: What that would look like is like one of the things Demalati and I talked about was like what isn’t necessary and what is necessary to carry over from legacy, because the level of granularity with some of that stuff is like not necessary to actually continue forward with so.
94 00:09:11.290 ⇒ 00:09:14.050 Emily Giant: Yeah, I can build that article.
95 00:09:14.050 ⇒ 00:09:20.629 Amber Lin: Okay, sounds good. So these 2 are, just do our documentation. I’ll assign that to you.
96 00:09:23.620 ⇒ 00:09:29.499 Amber Lin: Can I say, can I aim for end of this week, or do you need one for end of this week, one for end of next week?
97 00:09:29.500 ⇒ 00:09:32.470 Emily Giant: If it’s just documentation. Fine.
98 00:09:33.240 ⇒ 00:09:34.310 Emily Giant: Okay? Sounds good.
99 00:09:35.680 ⇒ 00:09:40.249 Emily Giant: What day is? Yes, that’s fine. Sorry. Yeah. I thought it was safe for a second.
100 00:09:41.560 ⇒ 00:09:42.500 Amber Lin: All good.
101 00:09:42.810 ⇒ 00:09:48.519 Amber Lin: Okay, I think that’s a better. That’s a better load, Demo. I still has quite a few tickets, but I think that should be better.
102 00:09:51.110 ⇒ 00:09:57.519 Amber Lin: don’t. Wanna are you okay with the rest of the due dates? Do you think everything is accomplishable within those due dates?
103 00:09:58.970 ⇒ 00:10:04.759 Demilade Agboola: Yeah, we’ll need to look at some of the due dates. I will say, though, that I
104 00:10:05.320 ⇒ 00:10:14.369 Demilade Agboola: I think we can take out like 1, 3, 1, and potentially add the concepts of
105 00:10:14.910 ⇒ 00:10:21.909 Demilade Agboola: there’s I. There’s 1 of the models that has duplicates, and I think, potentially into this cycle.
106 00:10:22.060 ⇒ 00:10:24.619 Demilade Agboola: As to why we have like duplicates.
107 00:10:24.920 ⇒ 00:10:32.650 Demilade Agboola: I believe it’s 1 of the newer tickets it should be trying to see.
108 00:10:32.650 ⇒ 00:10:34.920 Emily Giant: Also the 1, 29. Yeah, I know what you’re talking about.
109 00:10:34.920 ⇒ 00:10:35.660 Demilade Agboola: Or 6 mile.
110 00:10:35.660 ⇒ 00:10:37.080 Demilade Agboola: Give me that’s 69.
111 00:10:38.558 ⇒ 00:10:42.389 Amber Lin: Okay. So I’ll add that to this cycle.
112 00:10:42.390 ⇒ 00:10:52.859 Demilade Agboola: Because that’s also like part of what’s in currently in production. And so if you’re like duplicates, we need to just figure out what what’s like? Why, they have duplicates in production and get that out the way.
113 00:10:53.600 ⇒ 00:11:01.100 Amber Lin: Great. Okay? So this would be most of your tickets.
114 00:11:01.520 ⇒ 00:11:01.910 Demilade Agboola: Yeah.
115 00:11:01.910 ⇒ 00:11:02.840 Amber Lin: And then
116 00:11:03.220 ⇒ 00:11:10.569 Amber Lin: I think we can keep one for auditing orders. I might. I’ll keep this. I think I’ll keep this one out so you can have a
117 00:11:10.880 ⇒ 00:11:14.940 Amber Lin: clear, clearer mind to just work on revenue, to work on inventory.
118 00:11:15.240 ⇒ 00:11:21.849 Demilade Agboola: Yeah, I mean to to be fair. Kyle could start work on that, and just kind of that helps him ramp up to speed.
119 00:11:21.990 ⇒ 00:11:23.169 Amber Lin: Okay. Awesome.
120 00:11:23.710 ⇒ 00:11:24.210 Demilade Agboola: Yeah.
121 00:11:24.210 ⇒ 00:11:35.479 Amber Lin: We’ll do this scaveling just basic like reporting standards. Dbt, standards. And then also based on what urban stems has. So that would be great.
122 00:11:36.900 ⇒ 00:11:57.003 Emily Giant: I don’t point to like flag, or make sure. We add in, like what I had mentioned yesterday about using or replacing our hevo Oms models with shopify’s data tables. That’s gonna be like the big lift with revenue is that we’re gonna need to swap those out and like
123 00:11:58.880 ⇒ 00:12:11.759 Amber Lin: Yeah, I think when we come up to the revenue we’ll definitely I’ll definitely ask you to help me make those tickets, because a lot of the revenue stuff is based on our current understanding. We need a lot of information for those.
124 00:12:14.137 ⇒ 00:12:17.549 Amber Lin: For Kyle. I think these are mostly
125 00:12:18.170 ⇒ 00:12:24.790 Amber Lin: your tickets. Are you okay with these? Do you think you can complete them? This cycle.
126 00:12:26.730 ⇒ 00:12:31.429 Caio Velasco: Yes, I think so. I’m arriving at the final decision
127 00:12:31.540 ⇒ 00:12:40.999 Caio Velasco: on the dashboards to deprecate, based on ratchet users. Dbt users dbt accuracy and everything that we that we did so far
128 00:12:41.441 ⇒ 00:12:56.680 Caio Velasco: so that should be good, and then I will start the well, not start to go back to what I was doing with revenue when I started to like understand? Starting from table access and then going upstream. So yeah, I think it’s doable. Yes.
129 00:12:57.560 ⇒ 00:12:58.250 Amber Lin: Okay.
130 00:13:01.290 ⇒ 00:13:03.540 Amber Lin: Let me adjust.
131 00:13:05.670 ⇒ 00:13:06.580 Amber Lin: Yeah.
132 00:13:13.140 ⇒ 00:13:14.170 Amber Lin: Alright.
133 00:13:17.470 ⇒ 00:13:35.209 Amber Lin: Okay. Yeah. Let me look at everybody’s points. Downloaded. 21. Kyle, 19. Emily, 13. Okay, I think this is pretty good distribution. We’ll have to groom the new tickets a bit more. Didn’t got. Didn’t have time this morning.
134 00:13:35.630 ⇒ 00:13:45.370 Amber Lin: And then, okay, yeah, looking at for today.
135 00:13:45.560 ⇒ 00:13:54.930 Amber Lin: Oh, Emily, we were talking about this this one. Do you think a working session between you and Kyle would be helpful to get this over the finish line.
136 00:13:57.330 ⇒ 00:14:05.829 Emily Giant: I mean, I I just need to do it. I I have time today now that updates are deployed. But yes, that
137 00:14:06.230 ⇒ 00:14:10.979 Emily Giant: it would be good to have a backup just in case to make sure it gets across the finish line.
138 00:14:10.980 ⇒ 00:14:11.650 Amber Lin: Okay?
139 00:14:12.542 ⇒ 00:14:22.820 Amber Lin: I mean, Kyle can book a session with you and put it on your calendar. You guys don’t have to work together. But if it’s if there’s a calendar session, it will remind you.
140 00:14:23.210 ⇒ 00:14:31.710 Emily Giant: But it’s well. It’s a good like, just in case something else arises, because as soon as I think I have time, something will break. So.
141 00:14:31.710 ⇒ 00:14:32.320 Amber Lin: And.
142 00:14:32.320 ⇒ 00:14:33.300 Emily Giant: Set aside.
143 00:14:33.810 ⇒ 00:14:34.430 Amber Lin: Okay.
144 00:14:34.430 ⇒ 00:14:48.280 Caio Velasco: Yeah, on on my end. I mean honestly what whatever feels best for you, we can use this session. You can work on your own anything. Just let me know. And I I’ll be there tomorrow for sure. And yeah, I think we just need to
145 00:14:48.450 ⇒ 00:14:54.500 Caio Velasco: do the important the reliability call. It’s almost done from what I saw. But then we have the importance one.
146 00:14:54.750 ⇒ 00:14:56.640 Caio Velasco: Okay, that that would be. It.
147 00:14:57.070 ⇒ 00:15:08.260 Emily Giant: Okay, yeah, let’s just use the working session tomorrow morning. I’ve already worked on like some of the documentation and examples of what’s broken and like what it looks like in the data. So
148 00:15:09.200 ⇒ 00:15:17.010 Emily Giant: we’ll just plan on like doing the revenue related, and like important models. Tomorrow morning.
149 00:15:17.590 ⇒ 00:15:18.490 Caio Velasco: Sounds good.
150 00:15:18.870 ⇒ 00:15:24.188 Amber Lin: Yeah. Sounds good. An important milestone for us is to
151 00:15:24.830 ⇒ 00:15:29.549 Amber Lin: Get the looker dashboards and stuff we need to deprecate
152 00:15:30.010 ⇒ 00:15:45.550 Amber Lin: ready to present for the Thursday meetings, so we can talk to the stakeholders and ask for any of their opinions. But before then I want us to come prepared and say, Okay, these are what we found. These are what we’re trying to deprecate and
153 00:15:45.760 ⇒ 00:16:09.399 Amber Lin: ask for their opinions in a organized way. And I think, having this rating of accuracy will help us identify more dashboards that are problematic, that we need to remind the stakeholders of. So I do really want to get 108 and 84 done by, say Tuesday or Wednesday, so we can prepare for the Thursday meeting.
154 00:16:09.850 ⇒ 00:16:10.270 Emily Giant: Okay.
155 00:16:10.970 ⇒ 00:16:11.540 Amber Lin: Yeah.
156 00:16:12.020 ⇒ 00:16:24.560 Amber Lin: Sounds good thank you, everybody. Zach, I think Utam wants to meet with you sometime, so I will. Book. I’ll ask. I’ll coordinate between you guys, and I can help book a meeting.
157 00:16:25.162 ⇒ 00:16:31.977 Zack Gibbs: Okay, yeah. I mean, you could just tell him to reach out to me and slack. And we can. We can get something ad hoc,
158 00:16:32.240 ⇒ 00:16:33.700 Amber Lin: Yeah, wonderful!
159 00:16:35.310 ⇒ 00:16:38.660 Amber Lin: Alright! Thanks everybody for coming to this kickoff.
160 00:16:39.160 ⇒ 00:16:41.390 Amber Lin: I’m excited for the next 2 weeks.
161 00:16:43.425 ⇒ 00:16:44.089 Zack Gibbs: Thanks.
162 00:16:44.090 ⇒ 00:16:45.800 Amber Lin: Alright, bye.
163 00:16:45.800 ⇒ 00:16:46.190 Zack Gibbs: Yeah.
164 00:16:46.190 ⇒ 00:16:46.840 Demilade Agboola: Prime.