Meeting Title: US x BF | Sprint Retro Date: 2025-10-06 Meeting participants: Awaish Kumar, Emily Giant, Amber Lin, Demilade Agboola, Uttam Kumaran
WEBVTT
1 00:00:29.030 ⇒ 00:00:29.980 Awaish Kumar: Hello.
2 00:00:32.280 ⇒ 00:00:33.780 Emily Giant: Hi, how are you?
3 00:00:34.230 ⇒ 00:00:35.660 Awaish Kumar: I’m good, how about you?
4 00:00:36.160 ⇒ 00:00:37.710 Emily Giant: Oh, good.
5 00:00:41.870 ⇒ 00:00:43.080 Amber Lin: Hello!
6 00:00:43.620 ⇒ 00:00:44.490 Emily Giant: Hi!
7 00:00:46.440 ⇒ 00:00:47.490 Amber Lin: Alrighty.
8 00:00:47.720 ⇒ 00:00:52.330 Amber Lin: Let’s start… of this week.
9 00:00:52.470 ⇒ 00:00:59.720 Amber Lin: And then… I’ll also be out of office starting Wednesday, so I’ll just confirm,
10 00:01:00.060 ⇒ 00:01:14.130 Amber Lin: with who can help me run the standoff, so I’ll probably ask on Monday, I’ll just confirm the logistics there. But I want to first look at the tickets that carried over from last week, just to see if we can…
11 00:01:14.270 ⇒ 00:01:24.559 Amber Lin: Closed them up, and then moved them to the previous cycle. I know we had… I think it was… oh, sorry, it was these two.
12 00:01:24.720 ⇒ 00:01:33.030 Amber Lin: For this first one, is it… has it been reviewed? Can I say that it’s closed, and I’ll move it to the previous one?
13 00:01:33.560 ⇒ 00:01:36.099 Emily Giant: I wouldn’t close it out yet, but probably tomorrow.
14 00:01:36.220 ⇒ 00:01:36.950 Amber Lin: Okay.
15 00:01:36.950 ⇒ 00:01:41.110 Emily Giant: I just need to re-look at it, and I’m adding subscriptions right now, so…
16 00:01:41.440 ⇒ 00:01:44.099 Emily Giant: once I do that, I can do, like, a run-through of all of them.
17 00:01:44.780 ⇒ 00:01:48.699 Amber Lin: Okay. So, do you mean you have…
18 00:01:49.460 ⇒ 00:01:54.260 Amber Lin: the LookML Explore for Fact subscriptions, or are you just adding subscriptions?
19 00:01:54.260 ⇒ 00:01:55.709 Emily Giant: That’s what I’m working on.
20 00:01:56.150 ⇒ 00:01:57.120 Amber Lin: Is the fact.
21 00:01:57.120 ⇒ 00:01:57.900 Emily Giant: India.
22 00:01:58.960 ⇒ 00:02:01.349 Amber Lin: So this one, I’ll say in progress.
23 00:02:02.470 ⇒ 00:02:06.989 Amber Lin: What about the order… sub-orders and transactions?
24 00:02:07.380 ⇒ 00:02:12.919 Emily Giant: That’s a good question. I can’t find that, I can’t find that model in dbt.
25 00:02:13.380 ⇒ 00:02:18.010 Emily Giant: Oh, let me try again. I have it pulled up right now, but I just couldn’t find it in dbt.
26 00:02:18.350 ⇒ 00:02:18.890 Demilade Agboola: which model?
27 00:02:18.890 ⇒ 00:02:22.380 Amber Lin: suborders.
28 00:02:24.390 ⇒ 00:02:27.950 Demilade Agboola: because I know she should be able to faxes of orders, because she built it.
29 00:02:28.090 ⇒ 00:02:29.980 Emily Giant: Yeah, that one I should clip.
30 00:02:31.540 ⇒ 00:02:34.890 Emily Giant: But back transactions, it might be called something else.
31 00:02:36.360 ⇒ 00:02:37.539 Demilade Agboola: They’re very, so…
32 00:02:55.220 ⇒ 00:02:56.230 Amber Lin: Hey, what’s him!
33 00:02:56.830 ⇒ 00:02:57.850 Uttam Kumaran: Hello?
34 00:02:58.290 ⇒ 00:03:03.250 Amber Lin: Would you know what fact transactions are in dbt? Emily is trying to find them?
35 00:03:03.600 ⇒ 00:03:04.460 Uttam Kumaran: Yes.
36 00:03:05.890 ⇒ 00:03:10.149 Uttam Kumaran: It is… Let me just pull it up.
37 00:03:14.180 ⇒ 00:03:16.640 Uttam Kumaran: It should be on the new model under…
38 00:03:21.790 ⇒ 00:03:22.540 Uttam Kumaran: Whoa.
39 00:03:26.140 ⇒ 00:03:29.279 Uttam Kumaran: I thought it should be under revenue, but it’s not there.
40 00:03:42.300 ⇒ 00:03:45.119 Uttam Kumaran: Okay, I can find this.
41 00:03:57.950 ⇒ 00:04:17.450 Amber Lin: Great, so we’ll just keep going as you look for it. I got word from Zach that we can proceed with the North Beam. They said they’re okay with the solution that we proposed. Who would be implementing this one? So, what we said, we’ll do, we’ll use the Shopify UTMs.
42 00:04:23.220 ⇒ 00:04:25.159 Uttam Kumaran: Wait, is this you, or… yeah.
43 00:04:25.650 ⇒ 00:04:27.450 Awaish Kumar: That’s a model task, right?
44 00:04:28.400 ⇒ 00:04:29.120 Uttam Kumaran: Yeah.
45 00:04:31.140 ⇒ 00:04:31.870 Amber Lin: Okay.
46 00:04:32.630 ⇒ 00:04:33.930 Awaish Kumar: You’re gonna assign it to me.
47 00:04:34.200 ⇒ 00:04:37.120 Amber Lin: Alright, and then how many points would that be?
48 00:04:37.750 ⇒ 00:04:43.830 Awaish Kumar: So, yeah, I, like, don’t know the exact requirements, like, is… it’s just that we want to…
49 00:04:45.040 ⇒ 00:04:48.749 Awaish Kumar: Want to get the… Like, we want to…
50 00:04:48.750 ⇒ 00:04:51.329 Uttam Kumaran: I think we just probably need to groom this first.
51 00:04:51.330 ⇒ 00:04:52.060 Amber Lin: Hold on.
52 00:04:53.620 ⇒ 00:04:59.669 Awaish Kumar: the conversion and revenue, and then compare it with spend, right? Like, and CAC or things like that.
53 00:05:01.520 ⇒ 00:05:05.140 Uttam Kumaran: Yeah, we basically just need the attribution on every order.
54 00:05:06.140 ⇒ 00:05:12.170 Uttam Kumaran: So we just need a model that is that, but I… Amber, I’d probably… I think we just need to handle this in grooming.
55 00:05:13.660 ⇒ 00:05:14.230 Awaish Kumar: Okay.
56 00:05:14.230 ⇒ 00:05:14.910 Amber Lin: Okay.
57 00:05:15.430 ⇒ 00:05:21.369 Uttam Kumaran: But the plan… but I guess it’s good that we got the plan approved, so that should dictate… probably can use that to start to…
58 00:05:21.730 ⇒ 00:05:23.180 Uttam Kumaran: Dictate the tickets.
59 00:05:23.910 ⇒ 00:05:24.570 Amber Lin: Yeah.
60 00:05:24.670 ⇒ 00:05:26.200 Amber Lin: Sounds good.
61 00:05:32.010 ⇒ 00:05:32.800 Amber Lin: Alright.
62 00:05:34.900 ⇒ 00:05:52.190 Amber Lin: And then, so, the main theme this week is to get the QA done. So, Emily has already got the scenarios that we would be QA-ing with, and then I want to scope out tickets based on…
63 00:05:52.460 ⇒ 00:05:57.930 Amber Lin: Based on these… scenarios.
64 00:05:59.280 ⇒ 00:06:04.889 Amber Lin: I think… Let’s go back.
65 00:06:07.980 ⇒ 00:06:12.890 Demilade Agboola: If we have the scenarios, we can start to test out the… models.
66 00:06:13.400 ⇒ 00:06:18.890 Amber Lin: Yeah, I think this would mainly be you, right, demo?
67 00:06:19.450 ⇒ 00:06:20.360 Demilade Agboola: Yeah, that’s fine.
68 00:06:20.640 ⇒ 00:06:21.929 Amber Lin: Yeah, okay.
69 00:06:23.530 ⇒ 00:06:30.600 Amber Lin: So, I will put this… And… this
70 00:06:39.640 ⇒ 00:06:49.370 Amber Lin: Should I say, like, 3 points or 4 points? 5 points for now? 3 to 5?
71 00:06:51.400 ⇒ 00:06:54.439 Demilade Agboola: I’ll probably say, you know, to about 4 or 5 points.
72 00:06:55.120 ⇒ 00:06:56.060 Amber Lin: Okay.
73 00:06:57.480 ⇒ 00:07:00.759 Amber Lin: So that will be our top priority.
74 00:07:02.090 ⇒ 00:07:03.430 Amber Lin: the…
75 00:07:12.920 ⇒ 00:07:31.730 Amber Lin: And once that’s… I think, once you take an initial look, let me know when this can be finished by. Ideally, I would like to have the review meeting with Perry this Thursday, or this Wednesday, if we get it done early, so that we can progress with…
76 00:07:31.740 ⇒ 00:07:40.519 Amber Lin: We can progress with the monthly summaries, weekly summaries, and then do the validation, maybe with finance.
77 00:07:41.290 ⇒ 00:07:43.710 Amber Lin: So, let me know how that one goes.
78 00:07:44.720 ⇒ 00:07:46.000 Demilade Agboola: Okay, sounds good.
79 00:07:46.840 ⇒ 00:07:54.540 Amber Lin: I also have these two tickets that carried over from last sprint. Is the unscheduled models done?
80 00:07:55.820 ⇒ 00:07:59.580 Demilade Agboola: Sketch Walls is not done, it’s in progress.
81 00:07:59.930 ⇒ 00:08:05.970 Demilade Agboola: But the tests for fact orders, those suborders, I’m about to send the PR range.
82 00:08:06.370 ⇒ 00:08:07.480 Amber Lin: Okay.
83 00:08:08.240 ⇒ 00:08:09.789 Amber Lin: Sounds good.
84 00:08:11.410 ⇒ 00:08:12.080 Amber Lin: Nope.
85 00:08:19.130 ⇒ 00:08:27.139 Amber Lin: What’s this ticket for? I know you created it 3 days ago. Is this something that we’re working… we’re still working on?
86 00:08:27.860 ⇒ 00:08:31.660 Demilade Agboola: Yeah, this is for, PK.
87 00:08:32.179 ⇒ 00:08:38.570 Demilade Agboola: It’s part of what we… Are trying to do to help clean up their currency infrastructure.
88 00:08:39.370 ⇒ 00:08:46.370 Demilade Agboola: So the… in Looker, there’s a… there’s a whole, like, list of…
89 00:08:46.700 ⇒ 00:08:50.350 Demilade Agboola: the most seats that are being fed into Tableau Items XF.
90 00:08:50.570 ⇒ 00:08:52.899 Demilade Agboola: So you need us to do it in dbt directly.
91 00:08:53.620 ⇒ 00:08:56.779 Amber Lin: Okay, and I think this is also for MPK.
92 00:08:57.150 ⇒ 00:08:58.470 Amber Lin: Yes, yes.
93 00:08:58.940 ⇒ 00:09:00.040 Amber Lin: Let’s see…
94 00:09:00.550 ⇒ 00:09:17.350 Amber Lin: I know PK’s not at the stand-up, or planning. Emily, are you going to meet with him tomorrow? Do you guys have working sessions with him? I want to make sure that he’s able to get started on these, I don’t think he has. So, is there a working session booked with PK?
95 00:09:18.410 ⇒ 00:09:21.789 Emily Giant: Yeah, we’ve been meeting with him at 9am to 10.
96 00:09:22.070 ⇒ 00:09:23.759 Amber Lin: Oh, awesome. Okay.
97 00:09:24.580 ⇒ 00:09:25.720 Amber Lin: So…
98 00:09:28.760 ⇒ 00:09:32.940 Amber Lin: I’m just gonna finish demoing a lot of these tickets here. Is this something that…
99 00:09:33.800 ⇒ 00:09:41.149 Amber Lin: we’re able to do right now. I know the subscriptions model is still blocked after… for the… blocked by the.
100 00:09:41.150 ⇒ 00:09:44.819 Uttam Kumaran: No, I think, yeah, basically QA needs to happen before any of those.
101 00:09:44.820 ⇒ 00:09:50.289 Amber Lin: Okay, I will say these are blocked, and these will get moved.
102 00:09:52.550 ⇒ 00:09:53.080 Amber Lin: Good.
103 00:09:53.080 ⇒ 00:09:55.639 Emily Giant: Tom, I did add some notes,
104 00:09:55.650 ⇒ 00:10:11.489 Emily Giant: to your deployment, like, it’s fine that subscriptions is deployed, it’s not in Looker, so no one’s using it, but there were just a couple fields that weren’t populating. I’m working on the ones that have that JSON structure, to, like, pull out delivery week, all the stuff that, like, I know
105 00:10:11.490 ⇒ 00:10:18.950 Emily Giant: even cursor is like, yeah, I don’t know, man. I think the issue is that, like, it’s getting truncated in the data, and it’s called something else in.
106 00:10:18.950 ⇒ 00:10:19.300 Uttam Kumaran: Okay.
107 00:10:19.300 ⇒ 00:10:27.150 Emily Giant: So I’m just going into loop and, like, feeding that to cursor, and I think that’s probably gonna work, but.
108 00:10:27.150 ⇒ 00:10:27.760 Uttam Kumaran: Okay.
109 00:10:27.760 ⇒ 00:10:28.579 Emily Giant: Yeah, I’ll keep you updated.
110 00:10:28.580 ⇒ 00:10:33.430 Uttam Kumaran: Yeah, I guess, do we have… is it… do we… can we set up an Explorer on top of that data?
111 00:10:33.720 ⇒ 00:10:34.960 Emily Giant: Yeah, I’m doing that today.
112 00:10:34.960 ⇒ 00:10:47.390 Uttam Kumaran: Okay, cool, cool. Yeah, that way, I just had, like, so little to, like… I just didn’t know the source of truth on much of it, so I was like, I just need to see, like, in a graph to be able to, like, start poking at it.
113 00:10:47.490 ⇒ 00:10:48.140 Uttam Kumaran: Sure, okay.
114 00:10:48.140 ⇒ 00:10:55.610 Emily Giant: Yeah, that’ll be done this afternoon. That’ll take, like, 10 minutes, so… I was just trying to see if I could, like, plug in some of those fields before adding it, but…
115 00:10:55.930 ⇒ 00:11:01.599 Emily Giant: if it’s blocking you from doing further QA, I can just swap tasks.
116 00:11:02.660 ⇒ 00:11:08.239 Uttam Kumaran: Yeah, as soon as we get into Looker, and then if you… once you point out, like, hey, these look really off.
117 00:11:08.680 ⇒ 00:11:09.060 Emily Giant: We’ll just go.
118 00:11:09.060 ⇒ 00:11:11.140 Uttam Kumaran: through the remaining… Pieces.
119 00:11:11.860 ⇒ 00:11:13.280 Emily Giant: Okay, I can do that.
120 00:11:13.860 ⇒ 00:11:14.510 Amber Lin: Yeah.
121 00:11:15.120 ⇒ 00:11:31.469 Amber Lin: Sounds good. And so, I think a lot of your main tasks are the revenue QA and then the split line items that Emily added. We added the context for the ticket, so if you can take a look and let us know when that
122 00:11:31.480 ⇒ 00:11:38.200 Amber Lin: We can expect that bye, that would be great. And then I know you guys have meetings and supporting tickets for PK.
123 00:11:39.840 ⇒ 00:11:41.420 Demilade Agboola: Yeah, sounds good.
124 00:11:41.840 ⇒ 00:11:42.530 Amber Lin: Okay.
125 00:11:42.670 ⇒ 00:11:51.869 Amber Lin: I know there’s a revenue QA and the subscriptions QA, are they combined, or are they separate and have different owners?
126 00:11:54.340 ⇒ 00:11:59.980 Emily Giant: They’re different. They have, crossover owners, but they should be queued differently.
127 00:12:00.540 ⇒ 00:12:05.600 Amber Lin: Okay, what’s… who’s the main owner on the subscriptions QA?
128 00:12:06.430 ⇒ 00:12:12.770 Emily Giant: They’re both gonna be Perry, but it’s truly Sam Shield. She’s out on maternity leave, but Perry would be the stand-in.
129 00:12:13.310 ⇒ 00:12:22.660 Amber Lin: For the work that we will be doing, so is it going to be the Melody doing the main QA work, and then we’ll ask Perry to review?
130 00:12:22.920 ⇒ 00:12:24.130 Demilade Agboola: Yes. Yeah.
131 00:12:24.490 ⇒ 00:12:26.060 Amber Lin: Okay, gotcha.
132 00:12:26.610 ⇒ 00:12:37.660 Emily Giant: And did Zach fill everyone in that Perry is actually… she put in her two weeks, so we need to make sure that any QA that would be her is expedited as much as possible.
133 00:12:37.660 ⇒ 00:12:40.990 Amber Lin: Oh, okay, so this is… these are gonna be…
134 00:12:41.100 ⇒ 00:12:44.640 Amber Lin: Very high. Let’s get it done before she’s out.
135 00:12:46.560 ⇒ 00:12:50.180 Amber Lin: I know. I can do a lot of it, but like…
136 00:12:50.960 ⇒ 00:12:54.269 Amber Lin: Do we have someone replacing for her? .
137 00:12:54.270 ⇒ 00:13:00.440 Emily Giant: There’s gonna… Dean Capel could be a stand-in, Felipe can do some of it, but…
138 00:13:00.440 ⇒ 00:13:00.760 Amber Lin: Okay.
139 00:13:00.760 ⇒ 00:13:05.630 Emily Giant: She’s, truly singular, so it’s gonna be interesting.
140 00:13:06.000 ⇒ 00:13:13.399 Amber Lin: Okay, how long would this subscription QA, and what does it include? I think we still need to groom it a little bit more.
141 00:13:15.360 ⇒ 00:13:18.250 Emily Giant: I think we need to, like…
142 00:13:18.390 ⇒ 00:13:21.589 Emily Giant: Potentially build out the models first.
143 00:13:21.910 ⇒ 00:13:26.970 Emily Giant: And then circle back to the… like, not build out the models, but add it to Looker first.
144 00:13:27.480 ⇒ 00:13:28.250 Emily Giant: And then these are…
145 00:13:28.250 ⇒ 00:13:29.980 Uttam Kumaran: Similar scenarios.
146 00:13:30.680 ⇒ 00:13:34.479 Uttam Kumaran: Yeah, we need to do… we need to gather the scenarios again and probably do that.
147 00:13:34.800 ⇒ 00:13:36.580 Demilade Agboola: Before investigating.
148 00:13:37.080 ⇒ 00:13:45.450 Amber Lin: Emily, would you have the scenarios? Because I know you were also on the… you said you were on the care team for a bit, but is this the same scenarios, or do we need different ones?
149 00:13:45.450 ⇒ 00:13:53.400 Emily Giant: They’re different. So, subscriptions essentially have their own assigned revenue.
150 00:13:53.520 ⇒ 00:13:55.720 Emily Giant: Regardless of what was charged.
151 00:13:55.960 ⇒ 00:14:04.019 Emily Giant: In most of the cases. Throughout years of subscriptions, we’ve had different rules applied at different times.
152 00:14:04.400 ⇒ 00:14:12.359 Emily Giant: I’m taking on, like, the whole historical element, but for Uttoman, the updates are that, like.
153 00:14:13.350 ⇒ 00:14:18.539 Emily Giant: there are single SKU subscriptions now that don’t fall into that price bucket.
154 00:14:18.940 ⇒ 00:14:30.970 Emily Giant: rule of, like, 55 to 65, you know what I’m talking about, between the Classic Luxe and seasonal, that there is also the single subscription SKU element to it.
155 00:14:31.650 ⇒ 00:14:34.610 Emily Giant: But subscription QA, it’s also, like.
156 00:14:35.200 ⇒ 00:14:42.029 Emily Giant: Being able to update the forecasting models that were called out in the, design doc.
157 00:14:42.520 ⇒ 00:14:44.290 Emily Giant: When we did the…
158 00:14:44.580 ⇒ 00:15:03.390 Emily Giant: like, touch base with the groups and stakeholders, they sent over, like, a couple subscription forecasting docs in Looker, and that would be where the QA is, is, like, being able to accurately forecast how many subscriptions are going to be, scheduled for 3 weeks from now.
159 00:15:03.430 ⇒ 00:15:07.930 Emily Giant: It’s that whole, like, forward-looking, purchase.
160 00:15:08.090 ⇒ 00:15:11.279 Emily Giant: Inventory purchase stuff that they need.
161 00:15:12.660 ⇒ 00:15:13.310 Uttam Kumaran: Okay.
162 00:15:14.610 ⇒ 00:15:19.489 Uttam Kumaran: Yeah, I think for this, probably, we just need to do a deeper grooming, Amber, on… on…
163 00:15:20.130 ⇒ 00:15:22.270 Uttam Kumaran: What scenarios we want to tackle here.
164 00:15:22.390 ⇒ 00:15:26.730 Uttam Kumaran: So, very similar to, like, what we’re doing for… Revenue.
165 00:15:27.470 ⇒ 00:15:29.359 Amber Lin: Yeah,
166 00:15:29.600 ⇒ 00:15:40.549 Amber Lin: Emily, I assigned this one to you, so if we can get some context before we start grooming the ticket, that would be great, so just brain dump anything that you can think of there, and then we can clean it up.
167 00:15:40.930 ⇒ 00:15:42.220 Emily Giant: Yeah, I can do that.
168 00:15:42.500 ⇒ 00:15:52.019 Amber Lin: Yeah, great I think looking here… so PK has the Google Analytics, and then the promo discounts.
169 00:15:52.460 ⇒ 00:16:04.410 Amber Lin: Is he doing anything related to the GA… oh, that’s Google Analytics, great. For Utam, on your plate, there’s the dbt test for subscriptions. Can we hand that off to someone else?
170 00:16:04.410 ⇒ 00:16:06.370 Uttam Kumaran: Yeah, you can… you can hand this to…
171 00:16:06.820 ⇒ 00:16:09.490 Uttam Kumaran: Yeah, I mean, anyone could take this, basically.
172 00:16:10.110 ⇒ 00:16:10.820 Amber Lin: Hmm…
173 00:16:13.240 ⇒ 00:16:19.529 Uttam Kumaran: It’s… it’s just probably not up. I guess, like, what is our point allocation now? Like, do we have more…
174 00:16:19.880 ⇒ 00:16:20.550 Uttam Kumaran: space.
175 00:16:21.620 ⇒ 00:16:37.770 Amber Lin: I think a wish is pretty much ad space, because last week we weren’t able to do much, unless we move out this derived table ticket. This North Bean thing also might take longer, so I’m thinking that, can we maybe move this out?
176 00:16:37.770 ⇒ 00:16:44.170 Uttam Kumaran: Yeah, like, the… the derived… The derive table is not a priority.
177 00:16:46.220 ⇒ 00:16:49.990 Amber Lin: Okay, so I will… See?
178 00:16:49.990 ⇒ 00:16:51.749 Uttam Kumaran: I’ll move that out, and then…
179 00:16:52.920 ⇒ 00:17:03.589 Amber Lin: Yeah, and Emily, for OMS refunds and the split line items, they’re both for historicals. What is the priorities on each of these tickets?
180 00:17:04.869 ⇒ 00:17:07.329 Emily Giant: What do you mean they’re both for historicals? Sorry.
181 00:17:07.329 ⇒ 00:17:14.539 Amber Lin: Oh, I thought that’s what we said they were, but if not, then… just mostly what’s the priority on each of these?
182 00:17:16.069 ⇒ 00:17:20.749 Emily Giant: The line item split would be high, because that’s very peri…
183 00:17:21.300 ⇒ 00:17:24.170 Emily Giant: focused, and if she needs to QA that.
184 00:17:24.190 ⇒ 00:17:24.810 Amber Lin: I would…
185 00:17:24.819 ⇒ 00:17:25.989 Emily Giant: Put that at… yeah.
186 00:17:26.129 ⇒ 00:17:28.009 Emily Giant: super high priority.
187 00:17:30.900 ⇒ 00:17:39.319 Uttam Kumaran: Yeah, so I guess, like, I guess, Amber, like, how many… I’m just trying to… how many points are we at, and, like, how much are… is allocated for, like, each…
188 00:17:39.780 ⇒ 00:17:40.830 Uttam Kumaran: Just for the sprint.
189 00:17:41.580 ⇒ 00:17:53.490 Amber Lin: Yeah, demo audit will have around 15 outlet, 15 that we want to do, which these are from last week, so we’re at…
190 00:17:53.490 ⇒ 00:17:59.250 Uttam Kumaran: Okay, so then I would move 338 and 310 out, unless they’re…
191 00:17:59.540 ⇒ 00:18:01.530 Uttam Kumaran: if… because I would say these are…
192 00:18:01.930 ⇒ 00:18:08.960 Amber Lin: Yeah, this is the PR that we’re just sent… we just need to send the PR, I’ll move that one out.
193 00:18:09.200 ⇒ 00:18:13.060 Uttam Kumaran: Well, I guess Demolade is like, are you almost done with that? Or…
194 00:18:13.480 ⇒ 00:18:15.470 Demilade Agboola: 310? Yeah, I’m almost doing 310.
195 00:18:16.170 ⇒ 00:18:16.620 Uttam Kumaran: they’re doing.
196 00:18:16.620 ⇒ 00:18:24.910 Demilade Agboola: Not almost, it’s… because, yeah, it’s going through the different jobs and setting up some, yeah.
197 00:18:24.910 ⇒ 00:18:32.840 Amber Lin: Sounds good. And, question… is… Emily, is this also something we need Perry to review?
198 00:18:33.010 ⇒ 00:18:33.630 Emily Giant: No.
199 00:18:34.070 ⇒ 00:18:35.880 Emily Giant: Golf. That’s the care team.
200 00:18:36.470 ⇒ 00:18:43.780 Amber Lin: Gotcha. Guarantee… I would move this out…
201 00:18:44.170 ⇒ 00:18:46.930 Amber Lin: So that wish can help with some tasks.
202 00:18:53.510 ⇒ 00:19:04.729 Amber Lin: So, maybe… This one ingests data. Seems like it’s better if a waste helps with the ingestion.
203 00:19:05.190 ⇒ 00:19:05.950 Uttam Kumaran: Yeah.
204 00:19:07.750 ⇒ 00:19:08.350 Amber Lin: Okay.
205 00:19:08.870 ⇒ 00:19:16.900 Amber Lin: We will need more… Context… Mmm… Alright.
206 00:19:18.890 ⇒ 00:19:21.619 Amber Lin: That’s more… I like it.
207 00:19:21.740 ⇒ 00:19:28.350 Amber Lin: And then I will move this to… I wish, for now.
208 00:19:30.060 ⇒ 00:19:38.750 Amber Lin: And then once we groom this North Bean ticket, we’ll see, because I think these are relatively a bit less priority than North Beam.
209 00:19:40.270 ⇒ 00:19:41.420 Amber Lin: Okay.
210 00:19:41.860 ⇒ 00:19:44.660 Amber Lin: Great. That’s around allocations.
211 00:19:45.110 ⇒ 00:19:56.739 Amber Lin: We will not be able to do… I think… All three of these.
212 00:19:57.480 ⇒ 00:20:01.079 Amber Lin: Like, we can only realistically do 2 of these three.
213 00:20:01.440 ⇒ 00:20:04.849 Uttam Kumaran: Well, the subscriptions QA can… I think Emily can own that, right?
214 00:20:05.440 ⇒ 00:20:06.559 Emily Giant: Yeah, I can own that.
215 00:20:06.560 ⇒ 00:20:07.830 Uttam Kumaran: Emma… yeah.
216 00:20:08.410 ⇒ 00:20:10.049 Uttam Kumaran: Emily’s already owning that.
217 00:20:10.650 ⇒ 00:20:12.200 Amber Lin: Okay, that’s awesome.
218 00:20:12.750 ⇒ 00:20:21.330 Amber Lin: Alright, then that gives us a good amount of points. Are we doing this… This week?
219 00:20:21.450 ⇒ 00:20:22.100 Amber Lin: Do you have.
220 00:20:22.100 ⇒ 00:20:25.549 Uttam Kumaran: There’s no… well, there’s no…
221 00:20:25.860 ⇒ 00:20:28.689 Uttam Kumaran: There’s no ticket stuff here, so this has to be groomed.
222 00:20:29.720 ⇒ 00:20:34.679 Amber Lin: Yeah, I… this is from the meeting with Perry. Okay, I’ll see you.
223 00:20:34.680 ⇒ 00:20:40.580 Uttam Kumaran: I guess just, like, I want to mark all… any… like, there shouldn’t be anything in cycle that isn’t groomed, so we all… we have to just…
224 00:20:40.690 ⇒ 00:20:45.560 Uttam Kumaran: Anything that isn’t cycle and groom, we just have to book a grooming session to get those requirements.
225 00:20:45.560 ⇒ 00:20:45.930 Amber Lin: insane.
226 00:20:46.410 ⇒ 00:20:48.199 Uttam Kumaran: As soon as possible, but…
227 00:20:48.750 ⇒ 00:20:53.290 Uttam Kumaran: like, and I… until it’s groomed, I don’t need to be assigned there, so…
228 00:20:55.230 ⇒ 00:21:03.850 Amber Lin: Okay. Also… I think this is related to Looker, I don’t perfectly remember what this is about.
229 00:21:03.850 ⇒ 00:21:06.929 Uttam Kumaran: Yeah, I don’t know if we need this right now.
230 00:21:07.060 ⇒ 00:21:12.330 Amber Lin: This is mainly, like, can we set up explorers that are on our staging data so we can test, but…
231 00:21:13.260 ⇒ 00:21:17.679 Uttam Kumaran: We just… there’s some other urgent stuff now with Perry leaving that we should close out.
232 00:21:17.680 ⇒ 00:21:23.590 Amber Lin: Yeah. So I’ll just move this to a… Backlog.
233 00:21:23.930 ⇒ 00:21:24.810 Amber Lin: Okay.
234 00:21:26.030 ⇒ 00:21:43.300 Amber Lin: I think we’re at pretty reasonable points. My main thing is to groom, book the… book the meetings, and then help with the upcoming contract renewals, and then the wins documents, so that’s my main thing.
235 00:21:43.400 ⇒ 00:21:49.120 Amber Lin: And then for Ewish, it’s… DVD test… Okay.
236 00:21:49.310 ⇒ 00:21:52.040 Amber Lin: Any questions?
237 00:21:54.650 ⇒ 00:22:01.839 Amber Lin: Quick, I want to talk about… I’ll be out of office starting Wednesday, I think…
238 00:22:02.410 ⇒ 00:22:08.930 Amber Lin: with… between Wish and Demolade, can you guys help me run the…
239 00:22:09.210 ⇒ 00:22:12.300 Amber Lin: Rituals, and when you’re out, the other person…
240 00:22:12.300 ⇒ 00:22:14.999 Uttam Kumaran: I think it would just be great to have one, yeah, one person.
241 00:22:15.400 ⇒ 00:22:19.149 Amber Lin: Yeah. Demolano, would you be able to help me run those sessions?
242 00:22:19.610 ⇒ 00:22:21.070 Demilade Agboola: Yeah, that’s fine, it’s all good.
243 00:22:21.380 ⇒ 00:22:34.000 Amber Lin: Sounds good. I will have our grooming tomorrow, and then it’s scheduled for tomorrow, so we’ll make sure everything has due dates, has descriptions, and that should be easier to run.
244 00:22:35.850 ⇒ 00:22:36.590 Uttam Kumaran: Cool.
245 00:22:37.080 ⇒ 00:22:37.650 Amber Lin: Alright.
246 00:22:37.650 ⇒ 00:22:38.570 Demilade Agboola: Sounds good.
247 00:22:38.820 ⇒ 00:22:40.460 Amber Lin: Sounds good. Thanks, everyone.
248 00:22:40.850 ⇒ 00:22:41.429 Uttam Kumaran: Thank you.
249 00:22:41.670 ⇒ 00:22:42.370 Amber Lin: Okay.
250 00:22:42.670 ⇒ 00:22:43.420 Amber Lin: Alright.