Meeting Title: US x BF | Sprint Kickoff Date: 2025-07-22 Meeting participants: Caio Velasco, Amber Lin, Uttam Kumaran, Demilade Agboola, Emily Giant
WEBVTT
1 00:01:44.840 ⇒ 00:01:46.140 Amber Lin: Hello!
2 00:01:48.540 ⇒ 00:01:49.420 Caio Velasco: Hello, Amber!
3 00:01:54.940 ⇒ 00:01:55.813 Amber Lin: I would
4 00:02:00.040 ⇒ 00:02:00.880 Uttam Kumaran: Hello!
5 00:02:01.050 ⇒ 00:02:01.810 Caio Velasco: Who.
6 00:02:04.930 ⇒ 00:02:08.970 Amber Lin: Let me check if they’re joining.
7 00:02:40.330 ⇒ 00:02:41.110 Amber Lin: Okay.
8 00:02:41.360 ⇒ 00:02:43.809 Amber Lin: Do you guys know if Emily’s gonna be here.
9 00:02:47.250 ⇒ 00:02:48.930 Uttam Kumaran: I do not know.
10 00:02:49.570 ⇒ 00:02:50.700 Caio Velasco: Yeah, me, neither.
11 00:02:53.120 ⇒ 00:02:53.770 Amber Lin: Okay.
12 00:03:06.750 ⇒ 00:03:07.880 Amber Lin: alright.
13 00:03:11.010 ⇒ 00:03:14.589 Amber Lin: Let’s see what rolled over from the previous cycle.
14 00:03:16.240 ⇒ 00:03:24.889 Amber Lin: Can you guys help me update the tickets, close out any anything that needs to be closed out, and then we can look at what’s for this cycle?
15 00:03:55.800 ⇒ 00:03:59.979 Amber Lin: I guess Kyle, can I close out some of the audits.
16 00:04:03.120 ⇒ 00:04:07.349 Caio Velasco: I think so. I think they are a bit well. I
17 00:04:07.520 ⇒ 00:04:14.199 Caio Velasco: build the models for them, and I understand most of them, and I think the final idea will be.
18 00:04:14.570 ⇒ 00:04:23.540 Caio Velasco: we’ll go in the document that you’ve done. Which is it? Starting like a 1st version, and then I will put everything I have in that.
19 00:04:23.690 ⇒ 00:04:26.180 Caio Velasco: So I think that would be more or less the
20 00:04:26.790 ⇒ 00:04:29.660 Caio Velasco: like the deliverable for all the yeah.
21 00:04:30.110 ⇒ 00:04:33.090 Amber Lin: Okay? So I can close out
22 00:04:33.570 ⇒ 00:04:37.610 Amber Lin: audit discounts and subscriptions as well.
23 00:04:39.930 ⇒ 00:04:44.649 Caio Velasco: Yeah, I’m I’m still working on discounted subscriptions, but I think so.
24 00:04:45.630 ⇒ 00:04:50.620 Caio Velasco: cause it’s for for Thursday, and we have the document has to be done by Thursday, and
25 00:04:51.280 ⇒ 00:04:53.950 Caio Velasco: and depending on how the document is done.
26 00:04:54.320 ⇒ 00:04:57.300 Caio Velasco: It might be easier to get like a
27 00:04:57.770 ⇒ 00:05:04.970 Caio Velasco: how do you say? Like a 1st layer for discounted subscription, because I already have it in the models I have. Currently I just don’t know if any.
28 00:05:05.150 ⇒ 00:05:09.400 Caio Velasco: If along the lineage some other logic was was added.
29 00:05:10.226 ⇒ 00:05:14.600 Caio Velasco: but yeah, I’ll have like columns with discounts and columns with subscription. So.
30 00:05:16.260 ⇒ 00:05:17.039 Amber Lin: Okay.
31 00:05:17.940 ⇒ 00:05:23.030 Uttam Kumaran: Should I add another ticket work on the design? Doc? Like probably right.
32 00:05:23.330 ⇒ 00:05:25.763 Uttam Kumaran: probably right after this meeting.
33 00:05:27.200 ⇒ 00:05:32.259 Uttam Kumaran: So I’ll have it. I’ll have a like a scaffolding out today, and then we can all collaborate.
34 00:05:32.260 ⇒ 00:05:32.850 Amber Lin: Okay.
35 00:05:32.850 ⇒ 00:05:36.439 Uttam Kumaran: Ideally. Maybe chat about it at stand up tomorrow, and then
36 00:05:36.590 ⇒ 00:05:39.700 Uttam Kumaran: should have something ready to share on Thursday.
37 00:05:40.520 ⇒ 00:05:43.260 Amber Lin: Okay. So I’m gonna put.
38 00:05:43.620 ⇒ 00:05:45.710 Amber Lin: Yeah, I’ll put your name there.
39 00:05:48.260 ⇒ 00:05:49.890 Amber Lin: And then.
40 00:05:53.440 ⇒ 00:05:54.690 Amber Lin: oh.
41 00:06:15.530 ⇒ 00:06:16.700 Amber Lin: okay.
42 00:06:21.290 ⇒ 00:06:22.190 Amber Lin: alright.
43 00:06:24.260 ⇒ 00:06:29.300 Amber Lin: So let’s go look at. Let’s go look at revenue.
44 00:06:38.340 ⇒ 00:06:44.709 Amber Lin: So when we talked to Emily, she pointed out that subscriptions has
45 00:06:45.810 ⇒ 00:06:56.849 Amber Lin: they’re using loop and a part of the audit, we decided, was to see that if loop was redshift redshift compatible.
46 00:06:57.790 ⇒ 00:07:03.550 Amber Lin: So do you guys think it’s suitable to do that? This cycle.
47 00:07:04.360 ⇒ 00:07:06.289 Uttam Kumaran: Wait what is registered, compatible, sorry.
48 00:07:06.480 ⇒ 00:07:07.400 Amber Lin: Loop.
49 00:07:07.400 ⇒ 00:07:07.800 Uttam Kumaran: Oh, look!
50 00:07:07.800 ⇒ 00:07:10.389 Amber Lin: They’re using for subscriptions.
51 00:07:11.040 ⇒ 00:07:15.050 Uttam Kumaran: Well, I guess it’s not really can you? If you click on that ticket.
52 00:07:17.990 ⇒ 00:07:20.359 Amber Lin: No, I just got this from Emily.
53 00:07:20.870 ⇒ 00:07:28.500 Uttam Kumaran: Oh, so I guess it’s not really about redshift compatibility. It’s about like polytomic right?
54 00:07:28.720 ⇒ 00:07:30.070 Uttam Kumaran: Well, I don’t. I guess I.
55 00:07:30.070 ⇒ 00:07:30.660 Demilade Agboola: But I’m.
56 00:07:30.660 ⇒ 00:07:33.689 Uttam Kumaran: Do you remember what she said? Like what was the concern over redshift.
57 00:07:34.850 ⇒ 00:07:38.669 Demilade Agboola: Unless it’s a data structure issue which I think
58 00:07:38.920 ⇒ 00:07:45.079 Demilade Agboola: it shouldn’t be, it should be like, I don’t. It will be the ingestion tool if it’s compatible or not.
59 00:07:46.560 ⇒ 00:07:48.310 Uttam Kumaran: The loop is for returns.
60 00:07:52.770 ⇒ 00:07:53.770 Uttam Kumaran: I mean.
61 00:07:55.300 ⇒ 00:08:01.919 Uttam Kumaran: okay, if you can. If you mind putting some notes there. Yeah, I don’t. I don’t think she means is this redshift compatible?
62 00:08:02.130 ⇒ 00:08:05.820 Uttam Kumaran: I think she’s probably means, is this polytomic compatible?
63 00:08:05.990 ⇒ 00:08:09.529 Uttam Kumaran: Can we add some notes that ticket while we’re talking about this? So.
64 00:08:10.195 ⇒ 00:08:16.740 Uttam Kumaran: Yeah, at this I don’t have any concerns over like the retrocompatibility.
65 00:08:16.860 ⇒ 00:08:20.850 Uttam Kumaran: I’m looking at the 5 tran Erd for this. And
66 00:08:21.090 ⇒ 00:08:23.980 Uttam Kumaran: oh, hey, Emily’s on. I’m looking at a 5
67 00:08:24.630 ⇒ 00:08:28.929 Uttam Kumaran: for this, and it seems pretty fair. Emily, for for this loop
68 00:08:29.260 ⇒ 00:08:29.870 Emily Giant: Yeah.
69 00:08:30.430 ⇒ 00:08:34.409 Uttam Kumaran: Ticket is this mainly just like, can we bring in the data and like, what does it look like?
70 00:08:34.870 ⇒ 00:08:40.965 Emily Giant: Yes, like. Is there a connector that we can use? Is there a shortcut here? But we have had
71 00:08:41.520 ⇒ 00:08:47.729 Emily Giant: with redshift sometimes these like newer companies, just
72 00:08:48.110 ⇒ 00:08:59.380 Emily Giant: don’t have like data compatibility. We have an entire like marketing software platform that cannot be ingested into redshift. So that’s always my step one like, can we even
73 00:08:59.500 ⇒ 00:09:01.683 Emily Giant: do this at all? But
74 00:09:02.280 ⇒ 00:09:11.370 Emily Giant: I have done 0 research on loop data connectors, whether we can use polytomic, etc. But
75 00:09:11.990 ⇒ 00:09:17.119 Emily Giant: yeah, so probably, yeah, not the best way to have phrased it, but because I.
76 00:09:17.120 ⇒ 00:09:18.909 Uttam Kumaran: No, no, that’s fine, I mean.
77 00:09:18.910 ⇒ 00:09:19.390 Emily Giant: Yeah.
78 00:09:19.390 ⇒ 00:09:41.830 Uttam Kumaran: Yeah. So for for loop, like, typically when we’re working with polyatomic, they they’re just gonna they’ll just build it. So 5 trend has like a light connector. And basically I could, we can use that to sort of model. I think my question would be Emily, if you don’t mind like just taking a look at the link I sent
79 00:09:41.850 ⇒ 00:09:51.299 Uttam Kumaran: in zoom, and and there are some objects in the Erd like return cancelled, just letting me know
80 00:09:51.480 ⇒ 00:09:54.970 Uttam Kumaran: which one of those we need or like, like a
81 00:09:55.710 ⇒ 00:10:03.800 Uttam Kumaran: like. There’s like what maybe 8 or 10 here. Do we need like 5 of them is, gonna ask me the same question like, Do you guys have a priority list?
82 00:10:04.303 ⇒ 00:10:08.410 Uttam Kumaran: And then I’ll ask them to. We’ll just ask that. They
83 00:10:08.570 ⇒ 00:10:10.210 Uttam Kumaran: try to set it up for us.
84 00:10:12.090 ⇒ 00:10:17.000 Uttam Kumaran: I can also get Zack to give the thumbs up just because I know that all
85 00:10:17.290 ⇒ 00:10:19.330 Uttam Kumaran: that may affect like pricing there?
86 00:10:20.740 ⇒ 00:10:21.210 Uttam Kumaran: Yeah.
87 00:10:21.210 ⇒ 00:10:25.460 Uttam Kumaran: And then. So that’s fine. Then that’s probably what I would ask for.
88 00:10:26.050 ⇒ 00:10:29.450 Emily Giant: Okay, yeah, I know primarily what we want is like,
89 00:10:29.990 ⇒ 00:10:37.429 Emily Giant: for prepaid subscriptions, like the amount of sends remaining cancel dates.
90 00:10:38.350 ⇒ 00:10:41.310 Uttam Kumaran: Oh, okay, so it’s not even for them data, really.
91 00:10:42.280 ⇒ 00:10:45.550 Emily Giant: It’s for forecasting.
92 00:10:46.350 ⇒ 00:10:47.010 Uttam Kumaran: Okay.
93 00:10:47.400 ⇒ 00:10:49.050 Emily Giant: There’s a there’s a
94 00:10:49.490 ⇒ 00:10:56.260 Emily Giant: couple cases, but they’re a little strange and they’re all going to be like set up in a
95 00:10:56.450 ⇒ 00:11:02.720 Emily Giant: deprecated model for our prior subscription provider. So I’ll just look at these and see like
96 00:11:03.160 ⇒ 00:11:12.610 Emily Giant: what’s missing from the current data that we’re able to grab from shopify. But yeah, I’ll get back to you on this one for sure.
97 00:11:13.910 ⇒ 00:11:14.500 Uttam Kumaran: Okay?
98 00:11:14.650 ⇒ 00:11:17.330 Uttam Kumaran: And then what were the other platforms that you mentioned.
99 00:11:18.570 ⇒ 00:11:25.560 Emily Giant: In terms of like new integrations generally in the past.
100 00:11:25.560 ⇒ 00:11:27.660 Uttam Kumaran: New integrations. Yeah.
101 00:11:27.900 ⇒ 00:11:35.509 Emily Giant: Yeah. This one north beam is another one. Klaviyo.
102 00:11:37.079 ⇒ 00:11:37.909 Emily Giant: Gorgeous.
103 00:11:39.680 ⇒ 00:11:44.999 Uttam Kumaran: Yeah. So all of those are things that we’ve worked with and should be fine to bring in via polytomic.
104 00:11:45.620 ⇒ 00:11:47.895 Emily Giant: Okay, yeah, I would.
105 00:11:48.870 ⇒ 00:11:49.220 Demilade Agboola: Know.
106 00:11:49.220 ⇒ 00:11:56.759 Emily Giant: That Zack will initially want to see if, like Hevo or I know that, like gorgeous, for example, does not have
107 00:11:57.060 ⇒ 00:12:01.480 Emily Giant: a the kivo or stitch option
108 00:12:01.590 ⇒ 00:12:03.750 Emily Giant: just because they’re cheaper. But like.
109 00:12:04.490 ⇒ 00:12:13.319 Emily Giant: Yeah, that that’s great. And I’ll think through. I’ll look at our board from when we started and see what still would be like a net new integration.
110 00:12:15.020 ⇒ 00:12:17.219 Emily Giant: Because I might be leaving one out.
111 00:12:23.380 ⇒ 00:12:47.928 Amber Lin: Okay, glad we talked about it. So we have remaining 2 audit tickets and subscriptions. Related, we have loop. And then for this cycle. Once we finish up the technical design document and get feedback on Thursday, we do have time to do the modeling. And
112 00:12:49.910 ⇒ 00:12:52.870 Amber Lin: so we have modeling for orders.
113 00:12:53.430 ⇒ 00:13:04.010 Amber Lin: Discounts. Let’s see rolling for subscriptions.
114 00:13:05.985 ⇒ 00:13:10.670 Amber Lin: Is this, does this cover what we were going to do?
115 00:13:11.940 ⇒ 00:13:13.220 Amber Lin: Let’s see.
116 00:13:13.850 ⇒ 00:13:21.200 Amber Lin: Oh, and also we have a the legacy revenue mark. Do you guys think this is something? We should start
117 00:13:21.790 ⇒ 00:13:27.389 Amber Lin: this cycle or do it after we do the main segments of modeling.
118 00:13:31.750 ⇒ 00:13:32.920 Demilade Agboola: I think
119 00:13:36.250 ⇒ 00:13:42.250 Demilade Agboola: it depends on how we did. What what do we mean by like legacy? Revenue math? I know. Obviously pre migration.
120 00:13:43.045 ⇒ 00:13:43.840 Amber Lin: Pre-migration.
121 00:13:44.520 ⇒ 00:13:47.649 Demilade Agboola: Yeah. So what what we could just do is we could create
122 00:13:48.380 ⇒ 00:14:00.740 Demilade Agboola: in building revenue in total, we can always create the pre migration numbers pre migration models that we can then also have our post migration models and have everything together
123 00:14:00.930 ⇒ 00:14:04.620 Demilade Agboola: that way. It’ll be easier for people to like Debug, or figure out what’s going on.
124 00:14:04.620 ⇒ 00:14:05.130 Amber Lin: Okay.
125 00:14:05.130 ⇒ 00:14:05.959 Demilade Agboola: And the logic comes.
126 00:14:05.960 ⇒ 00:14:14.110 Amber Lin: Okay? So so we’ll put it as a as a requirement. For we’re modeling. Is that okay?
127 00:14:15.550 ⇒ 00:14:18.380 Amber Lin: For whoever is going to be doing the modeling.
128 00:14:18.590 ⇒ 00:14:20.780 Demilade Agboola: Yeah, I mean, it’s all it’s going to be part of the same
129 00:14:21.130 ⇒ 00:14:23.304 Demilade Agboola: flow. If just a different
130 00:14:23.960 ⇒ 00:14:24.660 Amber Lin: Hmm.
131 00:14:25.080 ⇒ 00:14:28.959 Demilade Agboola: Basically, you’re still going to be doing the same, like putting things together for
132 00:14:30.650 ⇒ 00:14:42.159 Demilade Agboola: like calculating where revenue is at the end of the day. It’s just because there are different systems and different settings. A slightly different logic it will just be, instead of having the case when statements
133 00:14:42.741 ⇒ 00:14:51.680 Demilade Agboola: all in like a model with multiple Ctes, we could decide to have them separately, and then you know everything together. Bring everything together in one place.
134 00:14:51.960 ⇒ 00:14:58.001 Demilade Agboola: So that’s 1 way to go about it. That might be neater and easier for everyone to trace what
135 00:14:58.440 ⇒ 00:14:59.630 Demilade Agboola: trace, what.
136 00:15:00.040 ⇒ 00:15:08.270 Demilade Agboola: where the numbers are coming from, and if they need to make changes it won’t be so hard to make those changes. But it’s effectively still part of like building the same revenue, that’s all I’m trying to say.
137 00:15:08.940 ⇒ 00:15:11.250 Amber Lin: Okay, I guess
138 00:15:11.680 ⇒ 00:15:25.359 Amber Lin: I I believe you and Kyle both will be working on inventory this cycle unless there’s a lot of stuff in. Sorry. Sorry in revenue this cycle. Are you both okay with having tickets.
139 00:15:26.755 ⇒ 00:15:30.710 Amber Lin: Address both sides, Pre and post migration.
140 00:15:30.960 ⇒ 00:15:34.980 Demilade Agboola: Yeah, sure, I don’t have. I’m out of office for the 1st week of the cycle, but.
141 00:15:34.980 ⇒ 00:15:39.519 Amber Lin: First.st Oh, I thought it was the next week.
142 00:15:40.910 ⇒ 00:15:41.280 Demilade Agboola: I mean.
143 00:15:41.280 ⇒ 00:15:41.830 Amber Lin: I think.
144 00:15:41.830 ⇒ 00:15:44.229 Demilade Agboola: This Friday. I’m out of office.
145 00:15:44.230 ⇒ 00:15:44.960 Amber Lin: Yeah.
146 00:15:44.960 ⇒ 00:15:45.350 Demilade Agboola: No.
147 00:15:45.350 ⇒ 00:15:49.880 Amber Lin: This Friday, and I know you come back like next Friday or next Thursday.
148 00:15:57.070 ⇒ 00:15:58.780 Amber Lin: Okay, that is true.
149 00:15:59.300 ⇒ 00:16:02.479 Amber Lin: So let me go to revenue.
150 00:16:03.330 ⇒ 00:16:08.769 Amber Lin: So Uton will be helping with building for the second week where you’re not here.
151 00:16:09.210 ⇒ 00:16:14.340 Amber Lin: And so we have modeling for orders. Refunds.
152 00:16:15.218 ⇒ 00:16:21.040 Amber Lin: Where was the transactions? One modeling for?
153 00:16:23.310 ⇒ 00:16:29.649 Amber Lin: Oh, so we have subscriptions and
154 00:16:33.580 ⇒ 00:16:35.470 Amber Lin: transactions.
155 00:16:46.890 ⇒ 00:16:52.380 Amber Lin: Can you guys help me point these of modeling how long they would take
156 00:16:53.010 ⇒ 00:16:59.059 Amber Lin: and which ones are we gonna take in for this cycle?
157 00:17:03.703 ⇒ 00:17:05.760 Uttam Kumaran: So which tickets are we focused on.
158 00:17:07.050 ⇒ 00:17:12.839 Amber Lin: So we’re gonna model for orders, transaction.
159 00:17:12.849 ⇒ 00:17:15.599 Uttam Kumaran: Click on that ticket like, is it? What are the details?
160 00:17:23.159 ⇒ 00:17:27.819 Uttam Kumaran: Yeah, I mean, each of these, I would probably do as like 5 points
161 00:17:28.009 ⇒ 00:17:35.589 Uttam Kumaran: for each of the core models, because these are all like pretty foundational.
162 00:17:35.970 ⇒ 00:17:36.670 Amber Lin: Okay.
163 00:18:01.970 ⇒ 00:18:07.240 Amber Lin: alright. So we will set them all at 5 points.
164 00:18:08.568 ⇒ 00:18:14.219 Amber Lin: For subscriptions. Is it intermediate subscriptions or just subscriptions?
165 00:18:16.920 ⇒ 00:18:20.469 Emily Giant: Well, depending on what we do with.
166 00:18:21.040 ⇒ 00:18:22.085 Emily Giant: Loop.
167 00:18:24.400 ⇒ 00:18:32.909 Emily Giant: not whether it’s intermediate or staging, etc. But if we have a direct integration with loop, that’s going to probably be a
168 00:18:33.910 ⇒ 00:18:44.169 Emily Giant: different pointing than just cleaning up the current model, which is not great, mostly based on like
169 00:18:44.600 ⇒ 00:18:49.719 Emily Giant: assumption. Since we’re not currently ingesting pertinent data.
170 00:18:52.480 ⇒ 00:18:53.500 Amber Lin: Hmm, okay.
171 00:18:54.430 ⇒ 00:19:02.713 Amber Lin: so we’ll look at that, and I’ll try. We should try and get a meeting with the revenue stakeholders.
172 00:19:03.660 ⇒ 00:19:11.450 Amber Lin: and interview them on the key analysis and dashboards
173 00:19:11.810 ⇒ 00:19:21.590 Amber Lin: impacted by our work. So probably we’ll meet with Zach this Thursday, and then the Thursday. After that we can
174 00:19:21.920 ⇒ 00:19:25.820 Amber Lin: have a meeting with just inventory stakeholders. How’s that?
175 00:19:29.510 ⇒ 00:19:31.159 Emily Giant: Yeah, I think that would be good.
176 00:19:31.560 ⇒ 00:19:32.240 Amber Lin: Okay.
177 00:19:35.850 ⇒ 00:19:43.079 Amber Lin: So okay. And Emily, can you tell me the names of the revenue stakeholders?
178 00:19:43.330 ⇒ 00:19:45.530 Amber Lin: It will be Perry and.
179 00:19:48.250 ⇒ 00:19:51.000 Emily Giant: Sorry I didn’t realize I was on mute. It’s Perry.
180 00:19:51.380 ⇒ 00:19:56.289 Emily Giant: Dean, Mark and Dean Capel. I’ll write them in the chat.
181 00:19:58.470 ⇒ 00:20:00.860 Amber Lin: What about Christine?
182 00:20:03.240 ⇒ 00:20:05.170 Emily Giant: Oh kristen sampat.
183 00:20:07.310 ⇒ 00:20:10.440 Amber Lin: Are you talking with them, or do we have to talk with them?
184 00:20:10.810 ⇒ 00:20:17.850 Emily Giant: I’m gonna sync with them about like revenue definitions via email. And I’ll CC, you,
185 00:20:18.320 ⇒ 00:20:18.710 Amber Lin: Okay.
186 00:20:18.710 ⇒ 00:20:22.860 Emily Giant: Or it won’t, and I’ll just tell you so. It doesn’t fill up your inbox, and just
187 00:20:23.746 ⇒ 00:20:30.683 Emily Giant: might be better to just translate that over to a ticket. But I think as far as like doing
188 00:20:31.880 ⇒ 00:20:39.019 Emily Giant: interview, it would be Perry Dean, Mark and Dean Cable and the rest. We can just kind of gather any other
189 00:20:39.130 ⇒ 00:20:43.080 Emily Giant: needs for, like top and bottom line.
190 00:20:43.500 ⇒ 00:20:51.790 Amber Lin: Hmm, okay, sounds good. Nice.
191 00:20:55.690 ⇒ 00:20:56.490 Amber Lin: Okay.
192 00:20:56.920 ⇒ 00:21:03.040 Amber Lin: So all of these are currently in cycle revenue.
193 00:21:04.750 ⇒ 00:21:08.380 Amber Lin: Remember, I made a ticket yesterday to talk to Christine.
194 00:21:09.050 ⇒ 00:21:10.210 Amber Lin: Let’s see.
195 00:21:16.560 ⇒ 00:21:17.300 Amber Lin: Huh?
196 00:21:17.980 ⇒ 00:21:19.440 Amber Lin: Yeah, that one.
197 00:21:24.830 ⇒ 00:21:25.690 Amber Lin: Okay?
198 00:21:25.950 ⇒ 00:21:28.730 Amber Lin: And then let’s go. Look at inventory
199 00:21:32.380 ⇒ 00:21:35.250 Amber Lin: now like, can I close out any of these.
200 00:21:38.075 ⇒ 00:21:39.145 Emily Giant: Let’s see.
201 00:21:44.640 ⇒ 00:21:46.549 Emily Giant: 1, 6, 9.
202 00:21:53.040 ⇒ 00:21:55.540 Emily Giant: 2, 1, 7. I submitted the Pr. Yesterday.
203 00:21:56.170 ⇒ 00:21:57.260 Amber Lin: Oh, yay!
204 00:22:04.770 ⇒ 00:22:07.070 Emily Giant: Those those can stay open.
205 00:22:08.100 ⇒ 00:22:08.870 Amber Lin: Okay?
206 00:22:12.160 ⇒ 00:22:15.280 Amber Lin: So for this cycle.
207 00:22:18.400 ⇒ 00:22:31.040 Amber Lin: Let’s see, report for uncommitted orders. Okay, now, we’re doing that discrepancies in looker report aggregations.
208 00:22:31.540 ⇒ 00:22:33.029 Amber Lin: We’re redoing that one.
209 00:22:36.530 ⇒ 00:22:39.520 Emily Giant: Yes, that will be part of the Qa. Process.
210 00:22:39.520 ⇒ 00:22:40.730 Amber Lin: Hmm, okay.
211 00:22:46.940 ⇒ 00:22:52.480 Amber Lin: And anything here that we’re take that we’re moving in.
212 00:22:56.820 ⇒ 00:23:02.999 Amber Lin: Oh, so we I know we already have the top dashboards.
213 00:23:03.360 ⇒ 00:23:06.990 Amber Lin: Have we talked to Felipe about a
214 00:23:07.100 ⇒ 00:23:10.750 Amber Lin: rebuild plan for his dashboard that’s going to be impacted.
215 00:23:13.970 ⇒ 00:23:16.160 Emily Giant: Not like explicitly, no.
216 00:23:16.160 ⇒ 00:23:17.060 Amber Lin: Okay.
217 00:23:17.060 ⇒ 00:23:24.500 Emily Giant: We’ve just been doing like incremental Qa. With him. But that would be the next step.
218 00:23:24.500 ⇒ 00:23:25.159 Demilade Agboola: Yeah, also.
219 00:23:25.160 ⇒ 00:23:25.485 Amber Lin: Okay.
220 00:23:26.648 ⇒ 00:23:30.839 Demilade Agboola: Felipe also kind of maintains his own like looks, because
221 00:23:32.730 ⇒ 00:23:36.740 Demilade Agboola: so he he! He would just kind of build them out himself, I guess.
222 00:23:39.340 ⇒ 00:23:49.710 Demilade Agboola: So the 1st part. So we’re just kind of focusing on getting numbers like accurately. And then, you know, once the numbers in a good spot. I feel like some of these things will
223 00:23:50.602 ⇒ 00:23:54.530 Demilade Agboola: like kind of flow into how they currently use them.
224 00:23:57.440 ⇒ 00:24:01.040 Amber Lin: Okay. We still need the input from Perry.
225 00:24:01.190 ⇒ 00:24:02.889 Amber Lin: And then
226 00:24:03.320 ⇒ 00:24:14.230 Amber Lin: if they’re okay with building it themselves, we should still at least get what they would be rebuilding, and then make sure that
227 00:24:15.550 ⇒ 00:24:24.649 Amber Lin: make sure that we document it. And then we inform Zack about what this, what the analysts said, so that’s something we can do
228 00:24:25.590 ⇒ 00:24:28.559 Amber Lin: anything here. Okay? So we said.
229 00:24:28.560 ⇒ 00:24:33.769 Amber Lin: what is our current like? The amount of tickets in sprint right now, before we add more
230 00:24:35.543 ⇒ 00:24:42.389 Amber Lin: I was planning to put it in and then take things out, because we can judge between inventory and revenue to see what we can take out.
231 00:24:42.930 ⇒ 00:24:43.530 Uttam Kumaran: Okay.
232 00:24:44.210 ⇒ 00:24:51.040 Amber Lin: Yeah, we have high priority and 2 medium priorities. Are we moving these in?
233 00:24:52.273 ⇒ 00:24:54.889 Amber Lin: That one, we said, is low priority.
234 00:25:03.140 ⇒ 00:25:10.219 Demilade Agboola: 2, 1, 4. We, I believe the discrepancies in Macluca seem to have gone
235 00:25:12.342 ⇒ 00:25:14.110 Demilade Agboola: and that’s what we looked like yesterday.
236 00:25:15.120 ⇒ 00:25:19.039 Amber Lin: Okay, are we still gonna do? 2, 1, 4.
237 00:25:21.160 ⇒ 00:25:25.709 Demilade Agboola: I mean, not necessarily at the moment. If, like, we don’t notice the discrepancies anymore.
238 00:25:26.570 ⇒ 00:25:27.200 Amber Lin: Okay?
239 00:25:28.230 ⇒ 00:25:32.160 Amber Lin: And what about 2, 12.
240 00:25:35.920 ⇒ 00:25:37.770 Demilade Agboola: Can you click into that ticket, please?
241 00:25:44.762 ⇒ 00:25:49.357 Demilade Agboola: Yeah, that’s sort of the final step in some of these things.
242 00:25:51.140 ⇒ 00:25:56.259 Demilade Agboola: I would say, like we, but like one Pr away from everything. But like, yeah.
243 00:25:56.260 ⇒ 00:26:04.270 Amber Lin: And okay, so we can finish it. This cycle, you would say, I’m gonna move it in.
244 00:26:04.630 ⇒ 00:26:06.099 Demilade Agboola: Yes, yes, we will finish it.
245 00:26:06.330 ⇒ 00:26:11.530 Amber Lin: Okay, awesome. Are we still gonna do this? If this is low priority.
246 00:26:14.610 ⇒ 00:26:15.900 Amber Lin: 2 to 11.
247 00:26:18.110 ⇒ 00:26:25.730 Demilade Agboola: Key. I mean to be fair. It depends on. If we have other high priority things. If the other high priority things yes, we should definitely prioritize them over.
248 00:26:26.580 ⇒ 00:26:31.469 Amber Lin: There’s a investigate and fix incremental runs for models.
249 00:26:31.580 ⇒ 00:26:36.049 Amber Lin: And then a revenue focus inventory version.
250 00:26:37.990 ⇒ 00:26:44.560 Amber Lin: or like, instead of number of good, we’re quantity focused.
251 00:26:45.310 ⇒ 00:26:45.700 Demilade Agboola: Oh!
252 00:26:45.700 ⇒ 00:26:47.000 Amber Lin: Where is that?
253 00:26:47.000 ⇒ 00:26:56.030 Demilade Agboola: Quick question. I mean, how how is this? Like dollar focused inventory version, different from like the revenue model like, how exactly would it differ.
254 00:26:59.190 ⇒ 00:27:01.910 Emily Giant: Dollar focus inventory version.
255 00:27:09.000 ⇒ 00:27:19.860 Emily Giant: I’m trying to think of a succinct way to the dollars oops. Sorry.
256 00:27:19.860 ⇒ 00:27:25.710 Amber Lin: I’m sorry. Is it very important? If it’s not that important we don’t have to talk about it. This cycle
257 00:27:25.910 ⇒ 00:27:27.729 Amber Lin: we can talk about in grooming.
258 00:27:30.760 ⇒ 00:27:38.989 Emily Giant: We can talk about it in grooming. That’s fine. It’s just more affiliated with, like the dollars tied up in
259 00:27:39.670 ⇒ 00:27:46.860 Emily Giant: inventory, so that, like we can do promotions, etc. It’s
260 00:27:47.760 ⇒ 00:27:49.999 Emily Giant: right. Now. We don’t have a lot of like
261 00:27:51.160 ⇒ 00:27:55.129 Emily Giant: cost. And like retail Msrp type
262 00:27:55.390 ⇒ 00:27:59.980 Emily Giant: data connected to the inventory mart. And that’s
263 00:28:00.410 ⇒ 00:28:05.009 Emily Giant: the main difference is that instead of units, we’re looking at dollars.
264 00:28:05.580 ⇒ 00:28:06.250 Amber Lin: Yeah.
265 00:28:10.590 ⇒ 00:28:14.899 Amber Lin: okay, so we, I don’t think we’re doing that this cycle, right?
266 00:28:17.690 ⇒ 00:28:21.960 Amber Lin: Is it very urgent? Is this something very important that we should do.
267 00:28:25.580 ⇒ 00:28:28.480 Emily Giant: Eventually. But it doesn’t need to be. This cycle.
268 00:28:28.900 ⇒ 00:28:34.350 Amber Lin: Hmm, okay, what about investigating fixed incremental runs for models.
269 00:28:35.700 ⇒ 00:28:37.550 Demilade Agboola: Can you again? Can you click into that.
270 00:28:40.910 ⇒ 00:28:43.149 Amber Lin: Think this is from one of the meetings.
271 00:28:46.090 ⇒ 00:28:53.080 Demilade Agboola: Oh, no, I don’t know. That actually is Emily’s local. This is when you were struggling to run
272 00:28:53.430 ⇒ 00:28:55.670 Emily Giant: The the Kpi model.
273 00:28:55.670 ⇒ 00:28:58.959 Demilade Agboola: Yeah. Is that done now? Like, do you still have the issue.
274 00:28:59.470 ⇒ 00:29:05.379 Emily Giant: Yes, Utam, I know that you hopped in and took a look at that yesterday. Were you able to find anything.
275 00:29:06.423 ⇒ 00:29:12.940 Uttam Kumaran: Yeah. Well, there was a note from polytomic that there was a delay on their end.
276 00:29:13.160 ⇒ 00:29:19.689 Uttam Kumaran: So I need to double check today. Whether it was caused by that I looked, I couldn’t immediately find anything.
277 00:29:19.970 ⇒ 00:29:20.570 Amber Lin: Hmm.
278 00:29:21.170 ⇒ 00:29:27.403 Emily Giant: Yeah, I did real fixes for that Kpi model and
279 00:29:28.250 ⇒ 00:29:31.156 Emily Giant: it still isn’t running, so I don’t know.
280 00:29:32.360 ⇒ 00:29:42.030 Emily Giant: I doubt it was caused by polytomic only because it’s so far downstream that those run successfully so often that I’d be surprised.
281 00:29:44.330 ⇒ 00:29:50.850 Emily Giant: but yeah, I’ll take a look at last night’s full refresh, too, and see if there’s any new indicators of what’s going on here. But it’s been.
282 00:29:50.850 ⇒ 00:29:53.613 Uttam Kumaran: Yeah, do you? Wanna do you wanna tag me here?
283 00:29:58.593 ⇒ 00:30:01.860 Amber Lin: Do I assign this to you or to Melante?
284 00:30:03.770 ⇒ 00:30:04.970 Uttam Kumaran: You’re gonna send it to me.
285 00:30:05.300 ⇒ 00:30:06.090 Amber Lin: Okay.
286 00:30:08.050 ⇒ 00:30:10.600 Amber Lin: Sounds good to do.
287 00:30:11.350 ⇒ 00:30:12.760 Amber Lin: Alright.
288 00:30:13.870 ⇒ 00:30:17.009 Amber Lin: So let’s take all of this.
289 00:30:18.840 ⇒ 00:30:25.849 Amber Lin: Put it in cycle, and then we’ll look at the current cycle.
290 00:30:28.090 ⇒ 00:30:29.420 Amber Lin: Alright.
291 00:30:30.880 ⇒ 00:30:39.119 Amber Lin: So think we take about 20 points out
292 00:30:40.006 ⇒ 00:30:44.249 Amber Lin: my assumption is that I don’t think we’re gonna finish all of modeling.
293 00:30:44.450 ⇒ 00:30:53.850 Amber Lin: because that’s all of the different segments for modeling. So I wanted to ask you guys if we should, what? Which one in the modeling we should take out.
294 00:30:58.920 ⇒ 00:31:00.639 Amber Lin: So between these.
295 00:31:02.000 ⇒ 00:31:10.420 Demilade Agboola: I I think potentially the heavy ones will be orders, subscription and transactions, things like.
296 00:31:10.420 ⇒ 00:31:11.030 Uttam Kumaran: Yeah.
297 00:31:11.030 ⇒ 00:31:15.670 Demilade Agboola: And discounts are gonna be like kind of tied into orders.
298 00:31:16.700 ⇒ 00:31:19.720 Uttam Kumaran: Yeah, I agree, like, it’ll this will come next.
299 00:31:20.620 ⇒ 00:31:22.350 Amber Lin: Okay, so I’ll just move them.
300 00:31:25.420 ⇒ 00:31:26.569 Amber Lin: All right.
301 00:31:28.231 ⇒ 00:31:42.120 Amber Lin: Okay. And I think we take another 5 to 8 points out, technical designs have fold.
302 00:31:43.340 ⇒ 00:31:50.830 Amber Lin: How much is left in the auditing for discounts and subscriptions? Is it 3 points? Is it accurate.
303 00:31:55.910 ⇒ 00:31:56.710 Caio Velasco: Well, I think it’s.
304 00:31:56.710 ⇒ 00:32:01.230 Uttam Kumaran: Well, the yeah, the goal for these audits are to finish the.
305 00:32:01.610 ⇒ 00:32:02.250 Amber Lin: Hmm.
306 00:32:02.650 ⇒ 00:32:04.520 Uttam Kumaran: To finish the document for Thursday.
307 00:32:05.260 ⇒ 00:32:05.870 Amber Lin: Hmm.
308 00:32:07.240 ⇒ 00:32:13.180 Uttam Kumaran: So like we can’t change the estimates, because, like, it’s already in progress.
309 00:32:13.740 ⇒ 00:32:14.490 Amber Lin: Okay.
310 00:32:16.815 ⇒ 00:32:24.500 Amber Lin: Fill in fine. Oh, here and then, okay.
311 00:32:25.140 ⇒ 00:32:28.850 Amber Lin: that’s for let’s look at inventory, then.
312 00:32:32.990 ⇒ 00:32:33.840 Amber Lin: Yeah.
313 00:32:40.190 ⇒ 00:32:41.860 Amber Lin: Inventory.
314 00:32:43.290 ⇒ 00:32:44.760 Amber Lin: Will this one be?
315 00:32:46.810 ⇒ 00:32:50.739 Amber Lin: Oh, is this one in?
316 00:32:51.220 ⇒ 00:32:59.870 Amber Lin: We need to do this in the current cycle. I know that a lot of you said it was ongoing, for as we build. So is that done.
317 00:33:01.220 ⇒ 00:33:04.767 Demilade Agboola: Yeah, I mean, it’s just like it’s like a general ongoing process of
318 00:33:05.790 ⇒ 00:33:15.110 Demilade Agboola: If they’re like mart level logic, and sometimes they’re overly complex for a math model. We will move that logic into intermediate models.
319 00:33:15.450 ⇒ 00:33:16.040 Amber Lin: Oh!
320 00:33:16.040 ⇒ 00:33:21.769 Demilade Agboola: So it’s like, like, that’s why it’s ongoing. It’s not a as long as we’re modeling
321 00:33:22.190 ⇒ 00:33:26.299 Demilade Agboola: that idea. Will. That concept will still be a thing of trying to ensure that.
322 00:33:26.300 ⇒ 00:33:27.310 Amber Lin: I see.
323 00:33:27.310 ⇒ 00:33:29.309 Demilade Agboola: Smart logic is as simple as possible.
324 00:33:29.680 ⇒ 00:33:30.320 Amber Lin: I see.
325 00:33:30.320 ⇒ 00:33:41.770 Uttam Kumaran: I guess my pitch for a ticket like this is then to just like if we’re gonna if we’re gonna consider this as part of the other modeling tickets. Then I’m I would just consider not having this at all.
326 00:33:42.374 ⇒ 00:33:45.940 Uttam Kumaran: Because we are baking in time, for, like ad hoc improvements.
327 00:33:46.523 ⇒ 00:33:47.689 Amber Lin: Got it?
328 00:33:47.690 ⇒ 00:33:49.569 Uttam Kumaran: I would bucket this with that.
329 00:33:49.760 ⇒ 00:33:51.780 Amber Lin: Yeah, I would agree.
330 00:33:53.740 ⇒ 00:34:01.180 Amber Lin: And then, do you want to invite Perry to working session? That’s something we can do.
331 00:34:01.430 ⇒ 00:34:04.930 Amber Lin: Investigate all right.
332 00:34:08.270 ⇒ 00:34:18.569 Amber Lin: I guess this one is similar, but that’s something we can do at the end. I know you also said this was similarly ongoing. As we build
333 00:34:22.260 ⇒ 00:34:24.450 Amber Lin: this 1, 1, 6, 7.
334 00:34:25.710 ⇒ 00:34:33.770 Demilade Agboola: Yeah, it’s just basically like folder structure and naming convention. So that things are easier to understand.
335 00:34:35.409 ⇒ 00:34:37.790 Demilade Agboola: It’s again, that’s also an ongoing thing.
336 00:34:38.330 ⇒ 00:34:39.000 Amber Lin: Hmm.
337 00:34:43.110 ⇒ 00:34:44.480 Amber Lin: alright.
338 00:34:45.510 ⇒ 00:34:51.209 Amber Lin: Okay. So let’s let’s assign due dates. We’ll see if anything comes up, and then we need to.
339 00:34:51.540 ⇒ 00:34:55.120 Amber Lin: Oh, we can move out or move in.
340 00:34:55.360 ⇒ 00:34:59.349 Amber Lin: So let’s look at these. This is probably
341 00:34:59.600 ⇒ 00:35:12.930 Amber Lin: gonna be done today. So it’s just this Pr review and and then onboarding stakeholders.
342 00:35:16.730 ⇒ 00:35:21.619 Amber Lin: Can you tell me? Amount inventory? What will be done this week?
343 00:35:26.090 ⇒ 00:35:30.059 Amber Lin: Yes, this one is that gonna be done this week?
344 00:35:33.032 ⇒ 00:35:38.680 Demilade Agboola: Know, Emily created one that’s blocked by Emily. But 2, I know. Emily created a ticket.
345 00:35:39.130 ⇒ 00:35:41.290 Amber Lin: Yeah, she did the pr today.
346 00:35:42.430 ⇒ 00:35:43.919 Demilade Agboola: For the ticket yesterday.
347 00:35:45.030 ⇒ 00:35:45.620 Amber Lin: Yeah.
348 00:35:47.640 ⇒ 00:35:49.160 Demilade Agboola: Does that? Let me see.
349 00:35:53.020 ⇒ 00:35:56.247 Demilade Agboola: In that case we can, if we can, investigate the
350 00:36:00.430 ⇒ 00:36:05.379 Demilade Agboola: I’m sorry, but I know there’s a ticket assigned to me for yesterday. That’s part of why I’m asking.
351 00:36:05.870 ⇒ 00:36:08.821 Demilade Agboola: And and we wanted to. We talked about
352 00:36:10.790 ⇒ 00:36:15.740 Demilade Agboola: identifying the what’s it called the like forced upgrades basically.
353 00:36:15.740 ⇒ 00:36:17.190 Emily Giant: Yep.
354 00:36:17.350 ⇒ 00:36:31.013 Emily Giant: that that pr, is just done. So. I can do more. Qa just to make sure it’s 100%, but like that that portion should be taken care of like
355 00:36:31.940 ⇒ 00:36:46.240 Emily Giant: The. I think there’s 3 separate Prs. One of them is specifically like fixing a join and rearranging that suborders with lots model, so that the forced upgrades aren’t showing up anymore on the wrong lot.
356 00:36:46.700 ⇒ 00:36:52.940 Emily Giant: And it looks to me to be completely fixed in that Pr.
357 00:36:53.630 ⇒ 00:36:58.860 Amber Lin: Okay, should we? Still does? Is this ticket still needed? Then sounds like we don’t need it.
358 00:37:01.590 ⇒ 00:37:02.959 Demilade Agboola: It’s more of.
359 00:37:02.960 ⇒ 00:37:04.130 Emily Giant: I would leave it.
360 00:37:05.290 ⇒ 00:37:09.000 Demilade Agboola: I think, to be fair. We like 2, 1, 7.
361 00:37:09.980 ⇒ 00:37:12.540 Amber Lin: I think is in view.
362 00:37:12.810 ⇒ 00:37:15.640 Demilade Agboola: 2, 1, 9, click into 2, 1, 9.
363 00:37:20.350 ⇒ 00:37:28.660 Emily Giant: Yeah, this is like something that stakeholders need. It’s almost like a separate from developing. It’s like a looker report.
364 00:37:29.180 ⇒ 00:37:30.480 Amber Lin: For.
365 00:37:31.010 ⇒ 00:37:37.420 Emily Giant: Because this is like a totally net new thing that stakeholders wouldn’t necessarily understand. Out of the box.
366 00:37:38.310 ⇒ 00:37:39.230 Emily Giant: So.
367 00:37:41.500 ⇒ 00:37:51.330 Emily Giant: It’s only 1 point, truly, but you can assign it to me that that’s fine. I know Demo out is pretty stacked this sprint, so I’m happy to take this one.
368 00:37:52.410 ⇒ 00:37:53.190 Amber Lin: Okay.
369 00:37:53.700 ⇒ 00:37:54.810 Demilade Agboola: Oh!
370 00:37:57.300 ⇒ 00:38:02.739 Amber Lin: So let’s see, think we’re done a lot. It we have
371 00:38:03.890 ⇒ 00:38:13.430 Amber Lin: these 2. That’s an ongoing ticket we should also get.
372 00:38:14.500 ⇒ 00:38:15.860 Amber Lin: Oh, I see.
373 00:38:17.630 ⇒ 00:38:18.750 Amber Lin: Hi!
374 00:38:25.860 ⇒ 00:38:31.349 Amber Lin: Can I assign? I guess I have to assign both of these to Utam, because them will be
375 00:38:31.850 ⇒ 00:38:43.610 Amber Lin: building this after so looking at this, I think, then why, you only have this these 2
376 00:38:44.100 ⇒ 00:38:52.870 Amber Lin: and then we need to talk to. We need to talk to Perry for the working sessions.
377 00:38:55.090 ⇒ 00:38:56.180 Amber Lin: Link.
378 00:38:56.870 ⇒ 00:39:03.260 Amber Lin: No, it was. I don’t think there was anything else that’s not documented on the board that you’re doing right.
379 00:39:03.520 ⇒ 00:39:06.450 Amber Lin: All your work are tickets on this board.
380 00:39:10.906 ⇒ 00:39:14.459 Demilade Agboola: Yeah, I mean, largely, most of my tickets are on this board.
381 00:39:14.460 ⇒ 00:39:16.460 Amber Lin: Hmm, okay, that sounds good.
382 00:39:17.840 ⇒ 00:39:19.340 Amber Lin: Let’s see.
383 00:39:22.930 ⇒ 00:39:28.160 Amber Lin: So guess we could.
384 00:39:32.030 ⇒ 00:39:42.570 Amber Lin: Can I assign this 1, 2, 1, 9 to you, because we’re probably we also need to do the rebuild plan. Ask Felipe and Perry.
385 00:39:42.710 ⇒ 00:39:46.169 Amber Lin: and then get confirmation about the dashboards.
386 00:39:50.400 ⇒ 00:39:52.400 Demilade Agboola: Oh, 1, 8, 9, yeah, sure.
387 00:39:52.850 ⇒ 00:39:53.543 Amber Lin: Yeah, okay.
388 00:39:56.660 ⇒ 00:39:58.999 Amber Lin: Alright. So I’m gonna say.
389 00:40:00.270 ⇒ 00:40:05.100 Amber Lin: this one. Well, since you’re gonna you’re gonna be leaving.
390 00:40:06.312 ⇒ 00:40:13.070 Amber Lin: I’ll just say these are due Thursday.
391 00:40:23.490 ⇒ 00:40:27.660 Amber Lin: and we’ll say, 0 2.
392 00:40:40.460 ⇒ 00:40:43.880 Amber Lin: will you guys be having inventory working sessions this week?
393 00:40:47.218 ⇒ 00:40:51.190 Emily Giant: Yes, we we will, but we’re doing them a little more ad hoc right now, just.
394 00:40:52.160 ⇒ 00:40:54.699 Emily Giant: Because of the phase that we are at with it.
395 00:40:55.020 ⇒ 00:40:55.540 Amber Lin: Hmm!
396 00:40:56.230 ⇒ 00:41:01.850 Amber Lin: Do you mind inviting Perry to one of them this week’s when Demod is still here?
397 00:41:03.764 ⇒ 00:41:11.839 Emily Giant: Sure we can either do tomorrow or Thursday is fine. I’m also out on Friday. So that’s what tomorrow.
398 00:41:12.640 ⇒ 00:41:14.910 Amber Lin: Okay, Wednesday, yeah.
399 00:41:16.950 ⇒ 00:41:17.859 Demilade Agboola: Hi! This day.
400 00:41:19.270 ⇒ 00:41:20.900 Amber Lin: Oh, okay. Wednesday.
401 00:41:21.170 ⇒ 00:41:25.250 Demilade Agboola: Like Wednesday. You you put Tuesday to the. It’s.
402 00:41:25.250 ⇒ 00:41:26.479 Amber Lin: Emily said.
403 00:41:27.338 ⇒ 00:41:29.930 Demilade Agboola: Tomorrow or Thursday. So.
404 00:41:29.930 ⇒ 00:41:34.724 Amber Lin: Oh, it’s or oh, never mind, it’s already Tuesday. Oh, gosh!
405 00:41:35.530 ⇒ 00:41:40.190 Emily Giant: Emily, have you sent the message to Perry? We’ll probably need to tell her before we add her.
406 00:41:40.650 ⇒ 00:41:42.880 Emily Giant: I’m doing it as we speak.
407 00:41:42.880 ⇒ 00:41:48.640 Amber Lin: Okay, awesome. And then looking at these
408 00:41:57.400 ⇒ 00:42:02.070 Amber Lin: and put the modeling to end of cycle.
409 00:42:03.890 ⇒ 00:42:14.019 Amber Lin: Then guess aligning on definitions with Dean d. And Christine, can we aim to do that this 1st week?
410 00:42:22.965 ⇒ 00:42:31.032 Amber Lin: Alright, then to look at Loop and see if it’s
411 00:42:33.070 ⇒ 00:42:39.999 Amber Lin: I don’t know how to name this ticket title for this one. Are we doing that this 1st week or the second week?
412 00:42:40.160 ⇒ 00:42:41.570 Amber Lin: Emily? What do you think.
413 00:42:42.680 ⇒ 00:42:52.666 Emily Giant: I think. We should probably just wait till next week, and really like make sure that we’re in a good spot with how we want to slot it in, because it might be
414 00:42:55.200 ⇒ 00:43:02.180 Emily Giant: There’s gonna be a lot of back and forth with like Zack, and figuring out how we would bring in this data like.
415 00:43:02.710 ⇒ 00:43:09.449 Emily Giant: there’s gonna be a couple steps in there of figuring out what we need from their data. I like need to
416 00:43:09.600 ⇒ 00:43:19.819 Emily Giant: dig into the event that Utam sent. So I would say next week, only so that, like, we don’t waste time doing it prematurely and like, know what we’re asking when we get in there.
417 00:43:21.100 ⇒ 00:43:21.840 Amber Lin: Okay.
418 00:43:22.580 ⇒ 00:43:23.979 Amber Lin: Sounds good.
419 00:43:24.350 ⇒ 00:43:30.579 Amber Lin: Last one. When do we plan to talk to the revenue stakeholders?
420 00:43:34.254 ⇒ 00:43:39.359 Emily Giant: Is that like the dashboard review, or the like definition, alignment.
421 00:43:40.295 ⇒ 00:43:52.680 Amber Lin: For the dashboard review to get get their get their input on what will impact them or what’s most important to them. And then we can think about how we impact them.
422 00:43:54.756 ⇒ 00:44:00.810 Demilade Agboola: Think we can do that as soon as possible. Maybe this week, maybe next week. Just.
423 00:44:01.870 ⇒ 00:44:06.190 Amber Lin: You can put it in the audit plan. In the roadmap as well.
424 00:44:06.360 ⇒ 00:44:06.990 Demilade Agboola: Yeah.
425 00:44:07.620 ⇒ 00:44:12.559 Amber Lin: Okay, should we book a meeting with these people.
426 00:44:15.190 ⇒ 00:44:22.310 Demilade Agboola: Yeah, I think that’ll be ideal. Just kind of like getting them getting their feel on like, okay, what? The dashboards, what their issues with the dashboards.
427 00:44:22.828 ⇒ 00:44:26.319 Demilade Agboola: Trust. Do they have good trust in their data?
428 00:44:26.926 ⇒ 00:44:35.050 Demilade Agboola: Just came to kind of get an idea of what the issues are. The same across board. For instance.
429 00:44:35.660 ⇒ 00:44:36.630 Demilade Agboola: ask, like.
430 00:44:37.349 ⇒ 00:44:50.050 Demilade Agboola: do people view revenue differently? And if you get an idea of what revenue is, and how that works for them, and what their dashboards look like, and if the dashboards
431 00:44:50.625 ⇒ 00:44:57.679 Demilade Agboola: we can also then use that knowledge and trickle down into like the current, like modeling and building towards the final
432 00:44:57.840 ⇒ 00:44:58.640 Demilade Agboola: revenue.
433 00:44:58.640 ⇒ 00:45:05.810 Amber Lin: Okay. So maybe we try and aim for this either Wednesday this week, Wednesday or Thursday as well.
434 00:45:07.830 ⇒ 00:45:13.299 Demilade Agboola: I mean, we could try and see if it’s possible. I just I don’t know if I don’t know people’s schedules or anything.
435 00:45:14.070 ⇒ 00:45:26.079 Amber Lin: I’ll I’ll leave that one to you. It’ll be great if we can talk to them, so we can put them in the roadmap. If not, we’ll book a meeting next week, and it’s just unfortunate that Molly won’t be able to be here.
436 00:45:26.400 ⇒ 00:45:30.590 Amber Lin: But I’ll check in. Do you mind checking the message? Okay.
437 00:45:31.010 ⇒ 00:45:32.200 Emily Giant: Sure, no problem.
438 00:45:32.560 ⇒ 00:45:37.230 Amber Lin: Yeah, okay, I’m gonna say, this week.
439 00:45:38.000 ⇒ 00:45:41.759 Amber Lin: great gutam! I assigned the redshift ones to you.
440 00:45:41.900 ⇒ 00:45:45.139 Amber Lin: I’ll do the cost estimate once we’re done.
441 00:45:45.828 ⇒ 00:45:48.459 Amber Lin: Can I close out the Meta plane ticket.
442 00:45:52.750 ⇒ 00:45:58.259 Uttam Kumaran: No, I think it’s still going. We we just got it all set up this week, so
443 00:45:59.270 ⇒ 00:46:01.870 Uttam Kumaran: I’m just trying to get it hooked up to slack, and then try to.
444 00:46:01.870 ⇒ 00:46:02.190 Amber Lin: Okay.
445 00:46:02.190 ⇒ 00:46:03.339 Uttam Kumaran: Couple of things.
446 00:46:03.660 ⇒ 00:46:04.290 Amber Lin: Okay,
447 00:46:06.190 ⇒ 00:46:08.679 Uttam Kumaran: You just put Friday as a due date for this.
448 00:46:08.680 ⇒ 00:46:09.320 Amber Lin: Hmm.
449 00:46:11.490 ⇒ 00:46:14.979 Uttam Kumaran: It’s actually helpful, because I’m gonna use Metaplan to diagnose the other problem.
450 00:46:15.370 ⇒ 00:46:16.060 Amber Lin: Okay.
451 00:46:16.460 ⇒ 00:46:19.730 Amber Lin: Sounds good this Friday.
452 00:46:21.150 ⇒ 00:46:27.970 Amber Lin: Alright. I’m gonna look at people’s assignments.
453 00:46:30.210 ⇒ 00:46:41.659 Amber Lin: So Kyle has 12 cum laude has 11.
454 00:46:42.600 ⇒ 00:46:49.530 Amber Lin: I’m thinking these 2 onboard stakeholders on inventory usage.
455 00:46:50.180 ⇒ 00:46:54.030 Amber Lin: It’s kind of ongoing. I’ll keep it there.
456 00:46:55.075 ⇒ 00:47:02.549 Demilade Agboola: Stakeholders. It’s kind of the it’s an ongoing like Qa process. It’s not.
457 00:47:02.550 ⇒ 00:47:03.300 Amber Lin: Hmm.
458 00:47:03.300 ⇒ 00:47:07.529 Demilade Agboola: Ticket per se, but, like tickets do come up based off.
459 00:47:13.760 ⇒ 00:47:19.160 Amber Lin: Okay. So I will say, it’s duplicate.
460 00:47:19.560 ⇒ 00:47:28.400 Amber Lin: Okay, I think I see 7 points.
461 00:47:28.960 ⇒ 00:47:30.929 Amber Lin: Wednesday, Thursday.
462 00:47:31.060 ⇒ 00:47:37.760 Amber Lin: Okay, you have 2 days left. I think I don’t. I don’t want to add anything to this. I think you already have enough for 2 days.
463 00:47:37.950 ⇒ 00:47:43.279 Amber Lin: 3 days, actually. Oh, what what were you gonna say, cause there’s 1 more. If you want.
464 00:47:43.280 ⇒ 00:47:51.290 Demilade Agboola: I was actually gonna ask if this is a function of the entire sprint, or if this is just for the the next couple of days, because this.
465 00:47:51.711 ⇒ 00:47:55.930 Amber Lin: I see. Oh, you’re back on here, so we’ll have
466 00:47:56.290 ⇒ 00:47:58.530 Amber Lin: 3 more days after you’re back.
467 00:47:59.410 ⇒ 00:48:00.520 Amber Lin: It’s valid.
468 00:48:03.380 ⇒ 00:48:07.500 Amber Lin: I guess we I can move this. We can do this once you come back.
469 00:48:09.913 ⇒ 00:48:16.520 Amber Lin: And then, okay. Then when you come back, probably
470 00:48:17.213 ⇒ 00:48:25.069 Amber Lin: can take up something from Utam on the modeling part is way too busy.
471 00:48:25.500 ⇒ 00:48:30.219 Amber Lin: And I’m thinking, between okay, between
472 00:48:30.370 ⇒ 00:48:36.380 Amber Lin: these 2, between subscriptions and transactions. What would you take after you come back.
473 00:48:39.040 ⇒ 00:48:44.760 Demilade Agboola: But I’m not sure yet. Depends on what the state of things, and which requires more lift.
474 00:48:46.450 ⇒ 00:48:50.950 Amber Lin: Okay, I guess my, then my question is, Uton, which one are you taking on first? st
475 00:48:56.710 ⇒ 00:48:59.369 Uttam Kumaran: I’m probably gonna check on transactions or orders. First.st
476 00:48:59.590 ⇒ 00:49:00.280 Amber Lin: Okay.
477 00:49:00.760 ⇒ 00:49:02.779 Amber Lin: Oh, wait. Why did I keep.
478 00:49:04.370 ⇒ 00:49:04.990 Uttam Kumaran: Or.
479 00:49:05.120 ⇒ 00:49:05.890 Amber Lin: I guess.
480 00:49:05.890 ⇒ 00:49:06.630 Uttam Kumaran: Yeah.
481 00:49:07.210 ⇒ 00:49:08.020 Amber Lin: Okay.
482 00:49:08.210 ⇒ 00:49:10.640 Uttam Kumaran: They’re both all like pretty similar. So.
483 00:49:10.830 ⇒ 00:49:17.919 Amber Lin: Okay. So I’ll leave it there. When when we start, I’ll see who takes on which one.
484 00:49:19.800 ⇒ 00:49:20.670 Amber Lin: Okay.
485 00:49:22.200 ⇒ 00:49:26.839 Amber Lin: Looks alright. 13 points, 57 total effort.
486 00:49:27.260 ⇒ 00:49:29.690 Amber Lin: Okay, looking looking healthier.
487 00:49:34.160 ⇒ 00:49:40.080 Amber Lin: And then we said, we’re doing subscriptions, transaction orders, I know.
488 00:49:41.000 ⇒ 00:49:49.629 Amber Lin: Is there anything I should change about the assignees here. It’s good that Kyle does orders which one does transactions, and generally does subscriptions when he comes back.
489 00:49:49.920 ⇒ 00:49:51.500 Amber Lin: Is that an okay?
490 00:49:53.140 ⇒ 00:49:55.020 Uttam Kumaran: Yeah, that’s fine. Okay?
491 00:49:56.140 ⇒ 00:50:03.339 Amber Lin: And, as you requested, I put the redshift, the final redshift defecations on you.
492 00:50:04.350 ⇒ 00:50:05.480 Uttam Kumaran: Okay. Cool.
493 00:50:05.480 ⇒ 00:50:07.540 Amber Lin: Yeah, all right.
494 00:50:07.790 ⇒ 00:50:13.409 Emily Giant: No, I’m so sorry. I have to hop we’re having problems with like a commission calculation and the data
495 00:50:13.840 ⇒ 00:50:16.822 Emily Giant: and payroll runs at noon and
496 00:50:17.320 ⇒ 00:50:17.870 Amber Lin: Of course.
497 00:50:17.870 ⇒ 00:50:22.459 Emily Giant: So I have to dip and look into this. But.
498 00:50:22.460 ⇒ 00:50:23.800 Amber Lin: I think we’re done. We’re done.
499 00:50:23.800 ⇒ 00:50:25.910 Emily Giant: Okay, perfect. Thank you.
500 00:50:25.910 ⇒ 00:50:28.669 Uttam Kumaran: Yeah, ping us if you need help. Emily, by the way, or whatever.
501 00:50:28.670 ⇒ 00:50:29.060 Uttam Kumaran: Okay?
502 00:50:29.060 ⇒ 00:50:30.949 Uttam Kumaran: And would love to like, note that down.
503 00:50:31.490 ⇒ 00:50:37.479 Emily Giant: Yeah, it’s definitely a weird one. I I’m gonna look into it for like the next 15. And if I.
504 00:50:37.480 ⇒ 00:50:42.980 Uttam Kumaran: Stream of consciousness into the channel. Really, just so, we have have it noted somewhere.
505 00:50:43.580 ⇒ 00:50:46.350 Emily Giant: Okay, perfect. I will do that as I’m looking into it.
506 00:50:48.590 ⇒ 00:50:49.770 Emily Giant: Alright, thanks.
507 00:50:50.210 ⇒ 00:50:51.220 Amber Lin: Everybody!
508 00:50:51.600 ⇒ 00:50:52.210 Amber Lin: Bye.
509 00:50:52.210 ⇒ 00:50:53.810 Uttam Kumaran: Thank you. Bye.