Meeting Title: US | Prep Grooming Date: 2025-06-18 Meeting participants: Amber Lin, Demilade Agboola
WEBVTT
1 00:00:41.520 ⇒ 00:00:42.350 Amber Lin: Oh.
2 00:01:29.950 ⇒ 00:01:30.780 Amber Lin: hello!
3 00:01:34.510 ⇒ 00:01:41.759 Amber Lin: I am so sleepy! Let me pull up linear and then we can go through things together.
4 00:01:47.000 ⇒ 00:01:50.040 Amber Lin: Did you just come from a working session with Emily.
5 00:01:50.610 ⇒ 00:01:51.280 Demilade Agboola: Yeah.
6 00:01:51.540 ⇒ 00:01:52.520 Amber Lin: I see.
7 00:01:53.160 ⇒ 00:01:57.139 Demilade Agboola: A lot of like meetings back to back for the next couple of hours, and.
8 00:01:57.140 ⇒ 00:01:57.990 Amber Lin: That’s here.
9 00:02:00.320 ⇒ 00:02:04.800 Amber Lin: Yeah, that’s I mean, that’s my life, too.
10 00:02:07.090 ⇒ 00:02:09.409 Amber Lin: We take you one main time.
11 00:02:09.720 ⇒ 00:02:10.410 Amber Lin: Hmm.
12 00:02:10.740 ⇒ 00:02:12.680 Demilade Agboola: So we take you one meeting at a time.
13 00:02:12.830 ⇒ 00:02:14.610 Amber Lin: Yes, I agree.
14 00:02:15.440 ⇒ 00:02:20.920 Amber Lin: Okay, so this is, this is the grooming page. And
15 00:02:21.030 ⇒ 00:02:30.560 Amber Lin: I put stuff in the next cycle. But honestly, I kind of want us to look at all the issues and say what is what is important.
16 00:02:32.610 ⇒ 00:02:38.429 Amber Lin: I think we can start with looker and red show, because those are mostly
17 00:02:39.080 ⇒ 00:02:45.889 Amber Lin: done for the most important parts, so it will be pretty easy to say what we can put into next cycle
18 00:02:46.710 ⇒ 00:02:55.929 Amber Lin: like I. Among these, I guess first, st is this priority ranking correct like? Is this the
19 00:02:56.550 ⇒ 00:02:59.189 Amber Lin: is this the most important one, for now.
20 00:03:03.070 ⇒ 00:03:09.859 Demilade Agboola: So like when you’ve asked me asking for priority, is that like across entire projects, or within the concept of redshift.
21 00:03:10.970 ⇒ 00:03:14.029 Amber Lin: This one, for just within redshift.
22 00:03:15.240 ⇒ 00:03:25.820 Demilade Agboola: All right, so we didn’t redshift you’ll see.
23 00:03:25.980 ⇒ 00:03:31.030 Demilade Agboola: Drop drop turned off ingestion tables from my shift will probably be the most important.
24 00:03:32.750 ⇒ 00:03:35.510 Amber Lin: And that’s a correct estimate. Do you think.
25 00:03:39.520 ⇒ 00:03:41.390 Demilade Agboola: Yeah, I think 3 points is fine.
26 00:03:41.390 ⇒ 00:03:49.289 Amber Lin: Okay, sounds good. And then, looking at looking at Looker.
27 00:03:50.790 ⇒ 00:03:58.710 Amber Lin: we can’t do this one yet. Right? Refractor sales data, inventory explores. That kind of depends on
28 00:03:58.860 ⇒ 00:04:03.710 Amber Lin: revenue and inventory march to be rebuilt. Is that correct?
29 00:04:04.040 ⇒ 00:04:09.540 Demilade Agboola: Yeah. So once we’re once we’re done with the data that we need, I’ll handle.
30 00:04:09.960 ⇒ 00:04:12.700 Demilade Agboola: that’s when we’re going to have to refactor those explores.
31 00:04:12.700 ⇒ 00:04:16.950 Amber Lin: I see. Okay, sounds good.
32 00:04:18.251 ⇒ 00:04:20.960 Amber Lin: And I mean, even if
33 00:04:21.560 ⇒ 00:04:31.729 Amber Lin: can we scope anything any dashboards to rebuild currently? Or can we rebuild any inventory dashboards, or we can’t rebuild anything yet.
34 00:04:34.679 ⇒ 00:04:54.020 Demilade Agboola: I mean, I won’t say rebuild, cause I I don’t think in the spot where we’ve fully done like everything in terms of data rebuilding. But I do think we can flag. I do think we can say, Hey, the ones that are inaccurate. And you know definitely, we need to
35 00:04:54.628 ⇒ 00:04:58.220 Demilade Agboola: look at for a rebuild potential rebuild. Yeah.
36 00:04:58.520 ⇒ 00:05:02.149 Amber Lin: I see. Okay? Then that should be a less.
37 00:05:02.830 ⇒ 00:05:05.830 Amber Lin: If we’re just flagging, there should be like
38 00:05:06.520 ⇒ 00:05:10.300 Amber Lin: 2 points right? Especially with all the tasks that Kyle’s doing.
39 00:05:12.235 ⇒ 00:05:19.549 Demilade Agboola: Yeah, once we’ve gotten to the point where, like, everything has been like the previous stuff, like all the
40 00:05:19.770 ⇒ 00:05:26.009 Demilade Agboola: logic around redshift and like the Dbt. Models, and all of that has been done. It should be easy to find.
41 00:05:28.570 ⇒ 00:05:39.139 Amber Lin: Yeah, I think one suite complete this one, we’ll be, we’ll be ready okay, back here.
42 00:05:39.880 ⇒ 00:05:47.248 Amber Lin: yeah, I just put the flagging one in next cycle and then looking at revenue.
43 00:05:49.080 ⇒ 00:05:59.240 Amber Lin: I guess we could. Technically, we could add both of these. But rebuild revenue. Logic is humongous, and we need to break it down.
44 00:06:00.010 ⇒ 00:06:01.390 Amber Lin: What do you think.
45 00:06:02.130 ⇒ 00:06:02.520 Demilade Agboola: Yeah.
46 00:06:02.520 ⇒ 00:06:04.534 Amber Lin: Both of them in next cycle.
47 00:06:05.870 ⇒ 00:06:12.140 Demilade Agboola: I mean, we could definitely start the rebuild next cycle. But I don’t think we’ll be able to fit definitely, not be able to.
48 00:06:12.140 ⇒ 00:06:22.699 Amber Lin: Oh, of course not. When we, when we start, say, we can start like, what does it? What does it mean? Do we need to define the logic 1st
49 00:06:22.910 ⇒ 00:06:28.020 Amber Lin: or do okay. So that also seems that it’s gonna take a long time.
50 00:06:31.830 ⇒ 00:06:38.280 Demilade Agboola: If? Yeah, I I think it’s it’s going to take a while, because there’s a lot goes into it.
51 00:06:38.750 ⇒ 00:06:43.340 Demilade Agboola: and it’s also one of the most convoluted parts of their current, like infrastructure.
52 00:06:44.310 ⇒ 00:06:51.750 Demilade Agboola: Oh, and also Kyle has an s. 3. If Kyle is the one doing it, he hasn’t actually worked with your data, so that will take a little bit longer as well.
53 00:06:52.137 ⇒ 00:07:01.819 Amber Lin: I see, we’ll look at who’s assigned what later, because he has to like eventually, he has to get on to the modeling parts, and
54 00:07:02.020 ⇒ 00:07:04.830 Amber Lin: it’s a pain now or later.
55 00:07:05.330 ⇒ 00:07:06.030 Demilade Agboola: Yeah.
56 00:07:06.461 ⇒ 00:07:14.700 Amber Lin: With this one. This is all chatgpt like. What do you think is the like? The rough breakdown.
57 00:07:17.160 ⇒ 00:07:19.270 Demilade Agboola: Of the re of rebuilding the revenue. Logic.
58 00:07:19.270 ⇒ 00:07:20.049 Amber Lin: Yeah,
59 00:07:21.613 ⇒ 00:07:24.020 Demilade Agboola: Yeah. So we need to break down.
60 00:07:30.070 ⇒ 00:07:38.390 Demilade Agboola: Sorry. So we need to get the transactions. We need to be able to understand what transactions are, what the refunds are.
61 00:07:39.437 ⇒ 00:07:45.430 Demilade Agboola: We need to be able to understand, just like what
62 00:07:45.860 ⇒ 00:07:49.809 Demilade Agboola: we need to have, like a clear table for each of them, and then once we.
63 00:07:49.810 ⇒ 00:07:50.350 Amber Lin: Like.
64 00:07:50.350 ⇒ 00:07:57.489 Demilade Agboola: Discounts as well. So like, maybe, yeah, discount subscriptions.
65 00:08:02.660 ⇒ 00:08:22.540 Demilade Agboola: And then once we understand that we can start merging everything together and being like, okay, so this are like your, this is your revenue based off the transactions minus refunds, minus discounts and sub, like things like that, like, we’ll be able to put it together and say, Hey! So this was your revenue about the last like 10 days, or last 20 days.
66 00:08:23.300 ⇒ 00:08:26.459 Demilade Agboola: Each of these topics by themselves are like quite
67 00:08:27.161 ⇒ 00:08:36.509 Demilade Agboola: something else, because, you know, they’ll tell you about subscriptions people can subscribe. But then this happens, and this is how subscription is deducted on every order that is placed.
68 00:08:36.510 ⇒ 00:08:37.450 Amber Lin: Oh!
69 00:08:37.450 ⇒ 00:08:46.480 Demilade Agboola: And that’s that’s what’s calculated as revenue. For instance, I know, like people have subscriptions, and then for every order that’s when they count it as revenue.
70 00:08:46.960 ⇒ 00:08:49.820 Amber Lin: Oh, gosh! Like why.
71 00:08:50.570 ⇒ 00:09:06.670 Demilade Agboola: Exactly so you might have, so you might pay like a thousand dollars at the beginning of the year for like 12 h or something I don’t know what, but like until you like, use the orders across the year. It doesn’t count as revenue yet. So things like that like that.
72 00:09:06.670 ⇒ 00:09:08.560 Amber Lin: Oh!
73 00:09:08.810 ⇒ 00:09:14.040 Demilade Agboola: We’ll need to get into and like work our way around. So orders, too, is also something we need to look at.
74 00:09:14.310 ⇒ 00:09:18.409 Demilade Agboola: So transactions, orders, rep refunds, discounts, stuff like that.
75 00:09:18.900 ⇒ 00:09:19.570 Amber Lin: Okay.
76 00:09:24.050 ⇒ 00:09:29.829 Amber Lin: okay, I’ll break it down. Should this be a separate ticket, like incremental logic.
77 00:09:33.980 ⇒ 00:09:39.679 Demilade Agboola: I mean, yes, no. But like like incremental logic, it will happen when we’re building out the models.
78 00:09:40.000 ⇒ 00:09:40.680 Amber Lin: Okay.
79 00:09:47.430 ⇒ 00:09:49.030 Amber Lin: Sounds good.
80 00:09:52.140 ⇒ 00:09:56.900 Amber Lin: How does these 2 relate to each other?
81 00:09:59.060 ⇒ 00:10:01.880 Demilade Agboola: Because once we’ve defined it, that’s when we’ll rebuild it.
82 00:10:02.730 ⇒ 00:10:05.379 Amber Lin: So this would essentially be
83 00:10:05.500 ⇒ 00:10:13.679 Amber Lin: getting clarity. I think we I can break these down into deaf, each of them. It’s like a separate ticket.
84 00:10:15.620 ⇒ 00:10:19.360 Amber Lin: Is that a good way for you to like? Approach things.
85 00:10:20.040 ⇒ 00:10:20.850 Demilade Agboola: Yeah.
86 00:10:20.850 ⇒ 00:10:21.530 Amber Lin: Okay.
87 00:10:43.620 ⇒ 00:10:48.890 Amber Lin: okay. So I’m gonna go ahead and delete that one.
88 00:10:50.170 ⇒ 00:10:59.919 Amber Lin: And then each of these, how big would you estimate them? Be like 3 points, 5 points, 5 points.
89 00:11:03.700 ⇒ 00:11:07.030 Demilade Agboola: A bit tough to estimate them right now. But let’s just do
90 00:11:07.400 ⇒ 00:11:13.550 Demilade Agboola: 3 points for each potentially rise. I think transactions, for instance, potentially might be like 5 points.
91 00:11:13.550 ⇒ 00:11:13.940 Amber Lin: Okay.
92 00:11:13.940 ⇒ 00:11:15.409 Demilade Agboola: But yeah.
93 00:11:15.870 ⇒ 00:11:17.360 Amber Lin: Okay, sounds good.
94 00:11:18.870 ⇒ 00:11:25.299 Amber Lin: 5 points. Okay, that makes it easier to break down. So maybe Kyle takes one or 2 and then you take 3
95 00:11:29.690 ⇒ 00:11:34.440 Amber Lin: and then just looking at inventory.
96 00:11:36.504 ⇒ 00:11:40.400 Amber Lin: This is where I need your help of like, what should we
97 00:11:40.930 ⇒ 00:11:49.753 Amber Lin: like? What is it more important because I found these this ticket, and I found like this ticket, and I don’t know if how important that is.
98 00:11:56.730 ⇒ 00:12:04.530 Amber Lin: Which one through every we could go through everything and rank their importance like priorities.
99 00:12:06.610 ⇒ 00:12:10.279 Demilade Agboola: Sure. What what tickets are you talking about? 1, 3, 5, and one.
100 00:12:10.700 ⇒ 00:12:14.509 Amber Lin: Yeah, 1, 3, 5. First, st like, is this.
101 00:12:14.720 ⇒ 00:12:15.135 Demilade Agboola: One.
102 00:12:18.320 ⇒ 00:12:23.770 Demilade Agboola: I would say, and floral hard. Good. Same entry balance, I would say. This is medium.
103 00:12:23.770 ⇒ 00:12:24.420 Amber Lin: Okay?
104 00:12:25.730 ⇒ 00:12:27.909 Amber Lin: Intermediate orders.
105 00:12:29.280 ⇒ 00:12:30.260 Amber Lin: Yeah.
106 00:12:30.420 ⇒ 00:12:31.880 Demilade Agboola: Everything’s high.
107 00:12:32.170 ⇒ 00:12:34.180 Amber Lin: This one also high.
108 00:12:35.010 ⇒ 00:12:38.710 Demilade Agboola: Yeah, cause they’re like tied into some of our key attributes.
109 00:12:38.710 ⇒ 00:12:39.450 Amber Lin: Like this.
110 00:12:40.060 ⇒ 00:12:42.750 Amber Lin: I see this one.
111 00:12:44.520 ⇒ 00:12:45.660 Demilade Agboola: Yeah, I think
112 00:12:45.940 ⇒ 00:12:54.380 Demilade Agboola: 1, 3, 1, 1, 2, 9 and 1, 3, 2 are kind of like the same thing, but just split across like into smaller
113 00:12:54.800 ⇒ 00:12:55.820 Demilade Agboola: project.
114 00:12:56.010 ⇒ 00:12:56.810 Amber Lin: Let me see.
115 00:13:00.180 ⇒ 00:13:04.760 Demilade Agboola: Add not for goods to inventory balance adjustment models.
116 00:13:05.470 ⇒ 00:13:10.389 Demilade Agboola: Oh, you said, that’s medium already. So either. Just went types, inventory mark model
117 00:13:14.160 ⇒ 00:13:18.500 Amber Lin: Is this done before? I just saw this in our backlog? So I pulled it up.
118 00:13:19.920 ⇒ 00:13:24.610 Demilade Agboola: I think I I’m not sure, but I think Emily did something similar to that.
119 00:13:24.610 ⇒ 00:13:27.159 Amber Lin: Right. I think she did something.
120 00:13:27.690 ⇒ 00:13:32.689 Demilade Agboola: Yeah, unless there’s something else that we need to do in that regard.
121 00:13:33.440 ⇒ 00:13:37.419 Amber Lin: Like, okay, let’s go. We can go ask her.
122 00:13:41.920 ⇒ 00:13:45.520 Amber Lin: Okay, okay? We’ll ask.
123 00:13:47.000 ⇒ 00:13:50.909 Amber Lin: We’ll ask Emily in our meeting.
124 00:13:54.080 ⇒ 00:13:55.040 Amber Lin: This one.
125 00:13:59.180 ⇒ 00:14:00.460 Demilade Agboola: Which one are we talking about?
126 00:14:00.720 ⇒ 00:14:02.300 Amber Lin: 75.
127 00:14:03.190 ⇒ 00:14:06.679 Demilade Agboola: No fuel transformations. Can you click into it? Please.
128 00:14:07.680 ⇒ 00:14:15.509 Amber Lin: Oh, yes, I mean, this is all. AI, so I wouldn’t know what this was for
129 00:14:15.820 ⇒ 00:14:18.809 Amber Lin: that I only got a title from you guys.
130 00:14:20.550 ⇒ 00:14:25.559 Demilade Agboola: Oh, no. Let me see.
131 00:14:30.120 ⇒ 00:14:32.780 Demilade Agboola: Yeah, I believe this was for
132 00:14:34.490 ⇒ 00:14:38.640 Demilade Agboola: the mark models. Actually, this was for Martin Ventry.
133 00:14:39.500 ⇒ 00:14:47.280 Demilade Agboola: So we need to move some of the mark models logic into intermediate models.
134 00:15:04.010 ⇒ 00:15:14.400 Amber Lin: so this this, this, and this relate to each other, or just this is a separate one.
135 00:15:21.090 ⇒ 00:15:23.489 Demilade Agboola: Yes, and no.
136 00:15:25.460 ⇒ 00:15:28.529 Demilade Agboola: I think we can integrate it, but it’s not necessarily related to it.
137 00:15:28.890 ⇒ 00:15:30.010 Amber Lin: I see. Okay.
138 00:15:30.881 ⇒ 00:15:36.180 Amber Lin: Anything else. We should move into this cycle like anything here.
139 00:15:42.210 ⇒ 00:15:44.880 Demilade Agboola: No, I think.
140 00:15:45.530 ⇒ 00:15:47.190 Amber Lin: Okay, sounds good.
141 00:15:47.470 ⇒ 00:15:50.560 Amber Lin: And these are the ad hoc ones.
142 00:15:51.050 ⇒ 00:15:55.359 Amber Lin: Currently, it’s this one. I pulled this up from.
143 00:15:57.150 ⇒ 00:16:01.150 Amber Lin: From my backlog. Is this done by any chance.
144 00:16:03.040 ⇒ 00:16:05.389 Demilade Agboola: When footing revenue, reporting.
145 00:16:07.710 ⇒ 00:16:15.440 Amber Lin: I can ask Emily if she already spent time on solving this. Because I know last week she said, she had some like revenue problems.
146 00:16:15.880 ⇒ 00:16:18.450 Demilade Agboola: Yeah, I’m not sure to be honest.
147 00:16:18.890 ⇒ 00:16:21.130 Amber Lin: Okay, sounds good.
148 00:16:27.060 ⇒ 00:16:35.500 Amber Lin: alright. So, looking at now, we can look at this cycle and see
149 00:16:35.720 ⇒ 00:16:38.685 Amber Lin: if we have assigned correctly. So
150 00:16:40.960 ⇒ 00:16:45.130 Amber Lin: this is everything we have in this cycle.
151 00:16:45.490 ⇒ 00:16:47.700 Amber Lin: Oh, I didn’t add the revenue one.
152 00:16:48.580 ⇒ 00:16:49.720 Amber Lin: Oh.
153 00:17:01.710 ⇒ 00:17:02.670 Amber Lin: okay,
154 00:17:06.730 ⇒ 00:17:08.510 Amber Lin: How would I assign this?
155 00:17:15.900 ⇒ 00:17:20.089 Amber Lin: You say you take transactions, and Kyle takes 2 of these.
156 00:17:20.780 ⇒ 00:17:22.827 Demilade Agboola: Sure take transactions.
157 00:17:24.240 ⇒ 00:17:30.750 Demilade Agboola: Kyo can take subscriptions and refunds.
158 00:17:30.750 ⇒ 00:17:31.290 Amber Lin: Yep.
159 00:17:44.800 ⇒ 00:17:50.647 Demilade Agboola: There might be some overlap with some of these things, but as we go we’ll figure out why, and then
160 00:17:51.770 ⇒ 00:17:53.080 Demilade Agboola: put them together.
161 00:17:53.320 ⇒ 00:17:55.470 Amber Lin: Hmm, okay.
162 00:17:59.790 ⇒ 00:18:01.020 Amber Lin: Let’s see.
163 00:18:03.720 ⇒ 00:18:07.010 Amber Lin: And just put this.
164 00:18:09.250 ⇒ 00:18:14.499 Amber Lin: I think this was on Emily right? Similarly, if we were assigned, we’ll still be on Emily.
165 00:18:16.730 ⇒ 00:18:17.869 Demilade Agboola: What what task.
166 00:18:17.870 ⇒ 00:18:19.899 Amber Lin: This 1, 1, 3, 4.
167 00:18:20.690 ⇒ 00:18:21.950 Demilade Agboola: Yeah, probably, yeah.
168 00:18:21.950 ⇒ 00:18:25.750 Amber Lin: Okay, I’m only okay.
169 00:18:28.040 ⇒ 00:18:31.829 Amber Lin: Let’s look at due dates. We can just say, like
170 00:18:31.930 ⇒ 00:18:35.619 Amber Lin: dot due by 1st week and the or due by second week.
171 00:18:36.410 ⇒ 00:18:39.520 Amber Lin: Okay, let’s let’s start by inventory.
172 00:18:39.640 ⇒ 00:18:41.779 Amber Lin: What do we need to do?
173 00:18:44.110 ⇒ 00:18:45.380 Amber Lin: The 1st week.
174 00:18:55.380 ⇒ 00:19:02.499 Demilade Agboola: let me see. So let’s say that we need to get staging transaction refunds 1st week.
175 00:19:07.910 ⇒ 00:19:08.960 Amber Lin: Hmm!
176 00:19:27.890 ⇒ 00:19:29.859 Amber Lin: What about these 2.
177 00:19:35.810 ⇒ 00:19:38.980 Demilade Agboola: Okay, so 1st week, for let me see. So
178 00:19:39.430 ⇒ 00:19:44.920 Demilade Agboola: in terms of the orders, and think subscription would probably be
179 00:19:46.800 ⇒ 00:19:49.799 Demilade Agboola: at the end of the 1st week, as well.
180 00:20:07.510 ⇒ 00:20:11.909 Amber Lin: okay, and that will be the second week.
181 00:20:18.810 ⇒ 00:20:21.520 Demilade Agboola: Yeah. Intermediate orders with the second week.
182 00:20:25.790 ⇒ 00:20:26.690 Amber Lin: Right?
183 00:20:33.460 ⇒ 00:20:35.470 Amber Lin: and what about for these?
184 00:20:36.080 ⇒ 00:20:40.480 Amber Lin: Are you gonna do all of these? Or should we assign some of them to Kyle?
185 00:20:43.560 ⇒ 00:20:45.270 Demilade Agboola: No, it’s fine to know these.
186 00:20:45.270 ⇒ 00:20:45.920 Amber Lin: Okay.
187 00:20:52.171 ⇒ 00:20:54.830 Amber Lin: which one is which cycle.
188 00:21:02.200 ⇒ 00:21:06.190 Demilade Agboola: I think, the 1st like 1, 3, 5.
189 00:21:09.130 ⇒ 00:21:10.050 Amber Lin: Sorry.
190 00:21:11.226 ⇒ 00:21:12.610 Demilade Agboola: What was the question?
191 00:21:13.445 ⇒ 00:21:16.600 Amber Lin: Shit move this to another cycle.
192 00:21:18.370 ⇒ 00:21:20.779 Amber Lin: I guess. Is it that important.
193 00:21:25.250 ⇒ 00:21:27.950 Amber Lin: So you already have 50 points.
194 00:21:28.930 ⇒ 00:21:32.949 Amber Lin: Maybe if we I don’t know like that will take up Emily’s time.
195 00:21:36.190 ⇒ 00:21:42.349 Amber Lin: Let me see which actually be told me how many points we should aim for
196 00:21:46.680 ⇒ 00:21:57.930 Amber Lin: like aiming to about like 15 or 13 to 15 points per person. So you get time for ad hoc tasks, because they do come up.
197 00:21:58.390 ⇒ 00:22:02.190 Amber Lin: And right now I think you have too much to do.
198 00:22:06.890 ⇒ 00:22:15.139 Demilade Agboola: And well, I I yeah, sure, I think. But like, I think, let’s let’s see what we can.
199 00:22:15.380 ⇒ 00:22:18.340 Amber Lin: I’m sorry, though. Message is popping off right now.
200 00:22:26.220 ⇒ 00:22:28.119 Demilade Agboola: Alright! So the.
201 00:22:36.570 ⇒ 00:22:41.719 Amber Lin: Like. If we move this out, I can move one of the revenues from you to Kyle.
202 00:22:42.260 ⇒ 00:22:44.560 Amber Lin: because you’re doing a lot in inventory.
203 00:22:46.770 ⇒ 00:22:49.170 Amber Lin: Okay, gonna scoop through that.
204 00:22:51.260 ⇒ 00:22:53.384 Demilade Agboola: Yeah. So let’s move out.
205 00:22:55.760 ⇒ 00:22:56.490 Amber Lin: Well done!
206 00:22:56.490 ⇒ 00:22:57.000 Demilade Agboola: Sure.
207 00:22:57.860 ⇒ 00:23:01.239 Amber Lin: And then I think we can still do the cleanup.
208 00:23:03.740 ⇒ 00:23:05.399 Demilade Agboola: Yeah, sure, we can do the cleanup.
209 00:23:05.770 ⇒ 00:23:10.060 Amber Lin: Okay? And then here, which one
210 00:23:10.470 ⇒ 00:23:12.580 Amber Lin: do you think we should give to Kyle?
211 00:23:17.420 ⇒ 00:23:18.810 Demilade Agboola: Amongst the intermediates.
212 00:23:20.581 ⇒ 00:23:22.639 Amber Lin: Oh, sorry I’m looking at.
213 00:23:23.120 ⇒ 00:23:28.350 Amber Lin: I mean either something here or something here that we can
214 00:23:28.610 ⇒ 00:23:33.080 Amber Lin: give to Kyle so that he can help you out with your workload.
215 00:23:34.790 ⇒ 00:23:35.764 Demilade Agboola: Sure.
216 00:23:40.110 ⇒ 00:23:43.540 Demilade Agboola: because I think some of these things overlap.
217 00:23:43.540 ⇒ 00:23:46.989 Amber Lin: I see. So I don’t think it’s gonna be these 2.
218 00:23:48.200 ⇒ 00:23:54.490 Demilade Agboola: Alright. So give okay. So you can add discounts as well like to Kaya. So 1, 3, 8.
219 00:23:54.490 ⇒ 00:23:57.079 Amber Lin: Okay, okay. Sounds good.
220 00:24:04.390 ⇒ 00:24:07.190 Amber Lin: Alright.
221 00:24:13.610 ⇒ 00:24:18.400 Amber Lin: it’s a bit more manageable. I still think everybody kind of has a lot to do.
222 00:24:23.490 ⇒ 00:24:24.920 Demilade Agboola: Yeah, this.
223 00:24:25.120 ⇒ 00:24:28.689 Amber Lin: Yeah, everything. Sorry you were saying.
224 00:24:28.780 ⇒ 00:24:36.929 Demilade Agboola: I guess I guess we’ll see how the it comes along. So I think things I think might be faster, but obviously sometimes like, be slower.
225 00:24:40.300 ⇒ 00:24:45.819 Amber Lin: I see, okay, let’s let’s assign due Dates to these, we have 4 min left
226 00:24:46.130 ⇒ 00:24:49.490 Amber Lin: among these, which ones are getting done the first, st week.
227 00:24:52.200 ⇒ 00:25:02.410 Demilade Agboola: Like, do we do? Revenue 1st week would be, let’s see, refunds and discounts.
228 00:25:04.300 ⇒ 00:25:06.669 Demilade Agboola: And the other 3 would be the following week.
229 00:25:07.330 ⇒ 00:25:07.870 Amber Lin: Okay.
230 00:25:23.580 ⇒ 00:25:26.640 Amber Lin: think Kyle can complete these 2 in the 1st week.
231 00:25:29.490 ⇒ 00:25:34.069 Demilade Agboola: I think some of them will be part of. Why, I said, the 1st week is, both of them are sort of related.
232 00:25:35.310 ⇒ 00:25:44.479 Demilade Agboola: And she well, like if they aren’t, and he’s having issues like, I’ll like you could just tell me. And we’ll we’ll look at what we need to do to to reschedule.
233 00:25:44.480 ⇒ 00:25:46.047 Amber Lin: Okay, sounds good.
234 00:25:52.410 ⇒ 00:25:56.660 Amber Lin: there’s these 2 that he is doing.
235 00:26:12.568 ⇒ 00:26:18.550 Amber Lin: I think by the time he finished the 1st one this would be relatively done.
236 00:26:34.220 ⇒ 00:26:39.169 Amber Lin: okay, does this have to be done? Next cycle.
237 00:26:41.340 ⇒ 00:26:44.749 Demilade Agboola: The code base can move my oil into. No, it doesn’t.
238 00:26:44.750 ⇒ 00:26:46.620 Amber Lin: Okay, I’m gonna move it.
239 00:26:47.230 ⇒ 00:26:56.650 Amber Lin: We have a lot to do. So think that should be better.
240 00:27:00.110 ⇒ 00:27:01.010 Amber Lin: Hmm.
241 00:27:04.990 ⇒ 00:27:08.180 Amber Lin: is anything dependent on 1, 3, 4.
242 00:27:14.010 ⇒ 00:27:18.600 Demilade Agboola: But I mean not particularly for us more, for, like
243 00:27:19.760 ⇒ 00:27:22.586 Demilade Agboola: Emily needs it, the business needs it.
244 00:27:23.240 ⇒ 00:27:24.090 Amber Lin: And.
245 00:27:24.300 ⇒ 00:27:25.250 Demilade Agboola: Yeah, so.
246 00:27:25.540 ⇒ 00:27:32.389 Amber Lin: I see. So oh, I’ll just mark it, and she can figure that out.
247 00:27:32.790 ⇒ 00:27:36.269 Amber Lin: Think that one we’re just waiting on polyatomic
248 00:27:38.710 ⇒ 00:27:41.430 Amber Lin: I’ll let her see what we
249 00:27:41.930 ⇒ 00:27:45.280 Amber Lin: aim for for this one. These 2.
250 00:27:48.790 ⇒ 00:27:49.480 Amber Lin: Okay.
251 00:27:57.230 ⇒ 00:27:57.665 Amber Lin: okay.
252 00:27:58.630 ⇒ 00:28:02.150 Amber Lin: So Kyle has me
253 00:28:03.090 ⇒ 00:28:09.589 Amber Lin: call has 14 points. You have 20 points. You can. Probably we can probably get some things, too.
254 00:28:10.470 ⇒ 00:28:13.660 Amber Lin: Kyle, how do you still have 20 points?
255 00:28:14.280 ⇒ 00:28:15.190 Amber Lin: Huh?
256 00:28:24.350 ⇒ 00:28:25.340 Amber Lin: Okay?
257 00:28:26.590 ⇒ 00:28:35.889 Amber Lin: Oh, well, I think because Kyle needs to ramp up. This is probably a similar allocation.
258 00:28:36.020 ⇒ 00:28:40.350 Amber Lin: Okay, I think it’s time for the stand up.
259 00:28:40.530 ⇒ 00:28:41.960 Amber Lin: I’ll go see you there.
260 00:28:42.830 ⇒ 00:28:44.469 Demilade Agboola: Alright. Sounds good. See? You soon.
261 00:28:44.470 ⇒ 00:28:45.460 Amber Lin: Thanks, bye.