Meeting Title: US x BF | Standup Date: 2025-07-15 Meeting participants: Emily Giant, Uttam Kumaran, Caio Velasco, Demilade Agboola, Amber Lin


WEBVTT

1 00:01:04.800 00:01:06.060 Uttam Kumaran: Hello!

2 00:01:07.480 00:01:09.009 Emily Giant: Hi! How are you?

3 00:01:09.030 00:01:10.400 Uttam Kumaran: Hi! Good!

4 00:01:10.870 00:01:12.810 Emily Giant: Been a minute. Have you been busy.

5 00:01:13.120 00:01:17.420 Uttam Kumaran: I have been busy. It’s it’s getting better. Always.

6 00:01:17.921 00:01:21.239 Uttam Kumaran: 1% better every week is what we strive for.

7 00:01:21.240 00:01:23.240 Emily Giant: Yeah, I would say that that is.

8 00:01:23.920 00:01:26.050 Uttam Kumaran: Their expectations. Yeah, right? Like.

9 00:01:26.970 00:01:31.640 Uttam Kumaran: And then you’re like, okay, like in, you know, 52 weeks, we’ll be 52% better. And.

10 00:01:32.430 00:01:33.810 Emily Giant: Yeah, exactly. It’s like, maybe next.

11 00:01:33.810 00:01:37.650 Uttam Kumaran: But 1% better every day is kind of too much to sign up for.

12 00:01:37.650 00:01:43.510 Emily Giant: Yeah, yeah, that’s a lot for summer, maybe like or winter. And I didn’t have anything to do outside.

13 00:01:43.510 00:01:44.620 Uttam Kumaran: Yeah, yeah.

14 00:01:44.620 00:01:46.170 Emily Giant: Deathly hot. There.

15 00:01:46.759 00:01:51.430 Uttam Kumaran: It is very, very hot. Oh, also the you were on your porch the other day look great.

16 00:01:51.830 00:01:53.819 Emily Giant: I need to take y’all on a walk like through.

17 00:01:53.820 00:01:58.349 Uttam Kumaran: It’s awesome out there. It looks like a real idyllic, or from what I saw on the back.

18 00:01:58.530 00:02:03.849 Emily Giant: It totally is like, I know, that Indiana doesn’t make sense on its face, not even to me.

19 00:02:03.850 00:02:05.700 Uttam Kumaran: Almost went to Purdue. So you know.

20 00:02:05.700 00:02:06.430 Emily Giant: Really.

21 00:02:06.430 00:02:08.519 Uttam Kumaran: I’m there, and it’s lovely place.

22 00:02:08.699 00:02:11.926 Uttam Kumaran: I like the middle of the country. It’s like so underrated.

23 00:02:12.220 00:02:18.310 Emily Giant: So under. What’s the word for? Everything is cheaper here.

24 00:02:18.310 00:02:31.059 Uttam Kumaran: Yes, even here, I mean, even here everything is pretty cheap, and Austin is supposed to be some big place. It’s not very big place. I think we we now have a lot of promotion towards Austin, but

25 00:02:31.250 00:02:42.090 Uttam Kumaran: pretty like chill small town like it’s not like that kind of get end to end pretty quickly. But the middle of the country is awesome, like. If you take 80 all through all those states, it’s great.

26 00:02:42.380 00:02:44.249 Emily Giant: Like the fly over the fly, over stage.

27 00:02:44.250 00:02:51.959 Uttam Kumaran: Yeah, that’s what it’s like. I don’t know. I feel like us is really underrated, like a lot of people don’t end up going there they end up, flying right over, and and

28 00:02:52.600 00:02:53.450 Uttam Kumaran: I don’t know.

29 00:02:53.450 00:03:00.030 Emily Giant: Super beautiful during the summer, like we’re surrounded by cornfields. So it’s like we have a giant privacy fence right now. But

30 00:03:00.440 00:03:05.629 Emily Giant: he was on the porch. We had an air show here last weekend, and so the Thunderbirds were.

31 00:03:05.860 00:03:06.090 Uttam Kumaran: Nice!

32 00:03:06.090 00:03:17.649 Emily Giant: Practicing, and the airports 4 miles away. So, like the Air Force Base or not, the Air Force base with the National Guard base in the airport. So, like all day I was watching the Thunderbirds like practice their formations, and it was an entire.

33 00:03:17.650 00:03:17.970 Uttam Kumaran: Nice.

34 00:03:18.120 00:03:29.070 Emily Giant: Of it. So it was super cool. But like those are the things that you’re not gonna get in a big city, and also like the airport is 4 miles away, so when we get sick of it, we just go there and we leave.

35 00:03:29.070 00:03:29.660 Uttam Kumaran: Yes.

36 00:03:29.860 00:03:30.060 Emily Giant: Yeah.

37 00:03:30.060 00:03:31.900 Uttam Kumaran: Yeah, even from here. The airport is

38 00:03:32.320 00:03:35.802 Uttam Kumaran: 9 min away. So and it’s great

39 00:03:36.910 00:03:38.840 Emily Giant: Is it super hot? There right now.

40 00:03:38.840 00:03:44.880 Uttam Kumaran: It is getting hot. Although this has been the rainiest. It’s been. It’s been raining almost every other day this summer, so.

41 00:03:44.880 00:03:45.360 Emily Giant: Yeah, which?

42 00:03:45.360 00:03:48.627 Uttam Kumaran: Good like the lake. All the lakes and waters have filled up.

43 00:03:49.720 00:03:53.019 Emily Giant: Yeah, not not so great in some places.

44 00:03:53.020 00:03:56.356 Uttam Kumaran: Yes, yes, also. Not so great in some places. But

45 00:03:56.940 00:03:59.419 Uttam Kumaran: yeah, it’s I don’t know weird weather this summer, so.

46 00:03:59.420 00:04:03.239 Emily Giant: Yeah. Port. I mean, Texas is so big that it gets like

47 00:04:03.380 00:04:05.540 Emily Giant: the climate change of an entire country.

48 00:04:05.540 00:04:05.970 Uttam Kumaran: Yeah.

49 00:04:05.970 00:04:09.480 Emily Giant: Europe. So it’s like, I know that what happened with

50 00:04:09.790 00:04:11.770 Emily Giant: the what was it like? The Rio.

51 00:04:11.770 00:04:17.420 Uttam Kumaran: Irville. Well, it’s only it’s like that’s like 30 miles from my house, like, it’s just down the road here. Yeah.

52 00:04:18.209 00:04:18.989 Emily Giant: Are you serious?

53 00:04:18.990 00:04:19.390 Uttam Kumaran: Yeah.

54 00:04:19.399 00:04:20.619 Emily Giant: Yeah, it’s pretty.

55 00:04:20.620 00:04:28.409 Uttam Kumaran: Crazy. But also, like I don’t know we’re gonna find out what happened there. But it’s a known flood area. That river really rises quickly. So

56 00:04:28.840 00:04:31.220 Uttam Kumaran: I mean, it’s been raining kind of crazy

57 00:04:31.910 00:04:34.149 Uttam Kumaran: pretty often for the past few weeks, so.

58 00:04:34.370 00:04:40.670 Emily Giant: Yeah, that’s just like I listen to the daily every day on Npr. And like, I can’t even listen to like the camp.

59 00:04:40.810 00:04:44.209 Emily Giant: I well, camp something or other.

60 00:04:44.210 00:04:44.760 Uttam Kumaran: Yes.

61 00:04:44.760 00:04:50.499 Emily Giant: I’m like, no, this is not good news like you don’t need to be thinking about this at all to like.

62 00:04:50.700 00:04:59.560 Emily Giant: Do the rest of my day, but I’m sure your state is like there’s just been so many crazy things between, like the power grid situation years ago, and.

63 00:04:59.560 00:05:04.740 Uttam Kumaran: Here. They like they are very positive, and they donate so like a lot of the big

64 00:05:05.030 00:05:11.700 Uttam Kumaran: like chain restaurants and stuff donated like proceeds, for, like the weekend all towards that, so.

65 00:05:11.890 00:05:15.302 Emily Giant: That’s good. Do something about it.

66 00:05:15.790 00:05:16.200 Uttam Kumaran: Okay.

67 00:05:16.200 00:05:19.479 Emily Giant: It’s it’s that is not like short on money. So.

68 00:05:19.480 00:05:20.460 Uttam Kumaran: That’s very true.

69 00:05:20.460 00:05:21.680 Emily Giant: Yeah, yes.

70 00:05:22.620 00:05:29.169 Emily Giant: I feel for y’all like that is just such a crazy thing that happened like on the 4th of July. No less like.

71 00:05:29.170 00:05:29.560 Uttam Kumaran: Yes.

72 00:05:29.765 00:05:29.970 Emily Giant: Like.

73 00:05:29.970 00:05:30.890 Uttam Kumaran: Horrible!

74 00:05:30.890 00:05:31.580 Emily Giant: Yeah.

75 00:05:31.970 00:05:37.500 Emily Giant: anyway. Sorry to derail that. But like, I think it’s on everyone’s mind whenever we talk about Texas. So.

76 00:05:37.500 00:05:38.190 Uttam Kumaran: Yeah.

77 00:05:39.540 00:05:42.110 Emily Giant: Sorry, amber you. You have the.

78 00:05:42.260 00:05:43.069 Uttam Kumaran: It’s yours.

79 00:05:43.070 00:05:43.490 Emily Giant: Sure.

80 00:05:45.130 00:05:55.970 Amber Lin: Oh, yeah, I was talking with Janice and Shannon and some folks at the other clients that we work at one of their girls without a summer camp, and

81 00:05:56.230 00:06:04.439 Amber Lin: it was lucky that they found their 2 little girls back, but the other girls were still missing, so I don’t know how it is now.

82 00:06:04.840 00:06:05.900 Uttam Kumaran: That’s crazy.

83 00:06:05.900 00:06:07.270 Uttam Kumaran: My God, that yeah.

84 00:06:07.270 00:06:07.910 Emily Giant: Gary.

85 00:06:07.910 00:06:12.455 Amber Lin: Yeah, okay, I’ll share my screen.

86 00:06:13.670 00:06:14.430 Emily Giant: Let’s see.

87 00:06:18.090 00:06:23.169 Amber Lin: So did everyone have the chance to update their tickets.

88 00:06:25.640 00:06:27.520 Emily Giant: I updated 2 of them today.

89 00:06:28.400 00:06:31.110 Emily Giant: With just comments. I didn’t change the status.

90 00:06:31.250 00:06:35.359 Amber Lin: Okay, doing a lot. How about you?

91 00:06:36.770 00:06:38.980 Demilade Agboola: A couple of the tickets.

92 00:06:39.270 00:06:41.989 Demilade Agboola: Some are still like the ones that are like

93 00:06:42.260 00:06:45.620 Demilade Agboola: for this week. Yes, the ones that next week not really.

94 00:06:45.940 00:06:50.140 Amber Lin: Hmm, okay, but let’s look over them then.

95 00:06:51.705 00:07:02.250 Amber Lin: So right here. Yesterday we said these were in review. Have they been reviewed yet?

96 00:07:03.730 00:07:05.380 Emily Giant: Canceled orders is done.

97 00:07:09.190 00:07:13.630 Emily Giant: Sorry. I don’t know why I said that that was Demolati’s ticket, and you should have been able

98 00:07:13.990 00:07:15.520 Emily Giant: to celebrate.

99 00:07:16.558 00:07:19.350 Amber Lin: No, it’s a win for all of us.

100 00:07:20.200 00:07:22.912 Amber Lin: Devil! You can say it’s done. Then.

101 00:07:23.300 00:07:24.650 Demilade Agboola: It’s done. It’s about the line.

102 00:07:25.540 00:07:26.240 Emily Giant: Done.

103 00:07:27.460 00:07:30.300 Amber Lin: Okay, what about these 2.

104 00:07:30.870 00:07:37.760 Emily Giant: 3 quarters of add non-floral. Hard goods is in pr review.

105 00:07:38.960 00:07:47.630 Emily Giant: And aggregate delivered suborders without law assignment that is in pr review. Right? Demo lade like that’s the

106 00:07:47.990 00:07:49.569 Emily Giant: Int. Ag.

107 00:07:49.760 00:07:50.300 Emily Giant: Model.

108 00:07:50.580 00:07:51.310 Demilade Agboola: Yeah.

109 00:07:51.310 00:07:52.529 Emily Giant: So both in pr review.

110 00:07:52.650 00:07:54.090 Demilade Agboola: They’re all entirely right now.

111 00:07:54.090 00:07:56.850 Amber Lin: Okay. Emily, are you reviewing them?

112 00:08:00.600 00:08:04.920 Amber Lin: Oh, wait! Are we supposed to review our own Prs.

113 00:08:04.960 00:08:07.610 Emily Giant: They’re not back and forth.

114 00:08:08.560 00:08:08.965 Emily Giant: Yeah.

115 00:08:09.670 00:08:15.779 Emily Giant: So I reviewed his, made some changes, sent it back. So this is like an iteration.

116 00:08:15.780 00:08:18.579 Amber Lin: Oh, okay. Okay. Salad.

117 00:08:18.580 00:08:21.449 Emily Giant: But no, we’re not to answer your question.

118 00:08:21.450 00:08:26.280 Amber Lin: Okay, sounds good. I checked that. I saw the comments.

119 00:08:26.804 00:08:32.610 Amber Lin: I think for this one. Are you guys meeting with Felipe again this week?

120 00:08:35.128 00:08:39.980 Demilade Agboola: Some feedback on like things we

121 00:08:40.210 00:08:46.990 Demilade Agboola: we’ll need to like account for or just like, and we’ll probably need some new tickets to track that as well, just so that.

122 00:08:46.990 00:08:47.430 Amber Lin: Okay.

123 00:08:47.600 00:08:49.549 Demilade Agboola: It’s like full transparency.

124 00:08:49.800 00:08:50.180 Amber Lin: Okay.

125 00:08:50.405 00:08:56.049 Demilade Agboola: The numbers are looking good, but it’s just it’s just like slightly off, due to a couple of factors, something. It’s just get to the.

126 00:08:56.050 00:08:56.770 Amber Lin: That’s good.

127 00:08:57.620 00:09:04.929 Amber Lin: Okay. Could we get a review from him so we can present it to Zach on Thursday.

128 00:09:08.068 00:09:15.949 Demilade Agboola: Sure, I definitely will have. I have a call with him again tomorrow, so that we show him the new numbers and just basically

129 00:09:19.510 00:09:24.449 Demilade Agboola: it will basically be also be getting feedback on what this opens up for him, I guess, and like how.

130 00:09:24.450 00:09:25.540 Amber Lin: Yeah, yeah.

131 00:09:25.540 00:09:28.890 Demilade Agboola: They tend to like business impact for him. Yeah.

132 00:09:28.940 00:09:37.210 Amber Lin: I’ll just got, I’ll just add, just add this real quick.

133 00:09:37.710 00:09:38.750 Amber Lin: Okay?

134 00:09:39.310 00:09:51.060 Amber Lin: So outgoing, outstanding, how are how are these? Oh, those are for next week.

135 00:09:51.980 00:09:54.179 Amber Lin: What about this one.

136 00:09:58.150 00:10:00.650 Demilade Agboola: That’s Emily. I think she’s done it to be honest.

137 00:10:00.650 00:10:01.310 Amber Lin: Oh!

138 00:10:01.680 00:10:02.513 Emily Giant: Yeah. Yep.

139 00:10:02.930 00:10:04.099 Amber Lin: This one’s done.

140 00:10:04.100 00:10:05.239 Emily Giant: They’re working

141 00:10:06.060 00:10:07.010 Amber Lin: Oh, yeah. Okay.

142 00:10:07.010 00:10:09.643 Emily Giant: Okay. Best case scenario. Yeah.

143 00:10:12.280 00:10:14.759 Amber Lin: Awesome. We can close that.

144 00:10:15.350 00:10:20.950 Amber Lin: Let’s see, we are okay.

145 00:10:21.060 00:10:26.939 Amber Lin: We have a week left, a little bit less

146 00:10:29.360 00:10:33.530 Amber Lin: with the week left. Are we good of finishing.

147 00:10:34.360 00:10:37.380 Amber Lin: I think. I guess there’s 4 main tickets.

148 00:10:39.420 00:10:40.890 Emily Giant: The naming one.

149 00:10:41.150 00:10:45.590 Emily Giant: I don’t think that’ll be done. We have, so we still have enough to do that.

150 00:10:47.327 00:10:48.640 Amber Lin: What ticket? Number?

151 00:10:49.330 00:10:53.679 Emily Giant: 1, 6, 7. What do you think it’s yours? But you.

152 00:10:53.680 00:10:54.380 Demilade Agboola: Home.

153 00:10:54.380 00:10:54.660 Emily Giant: Yeah.

154 00:10:55.680 00:11:03.960 Demilade Agboola: I mean to be fair, like things are. It’s a it’s kind of ongoing. But, like right now, a lot of the things are in a good spot.

155 00:11:04.908 00:11:07.420 Demilade Agboola: It’s just if we have like.

156 00:11:08.000 00:11:14.089 Demilade Agboola: I think, to be fair. We have, like a descent structure, for the the folders, all inventory folders. To be honest.

157 00:11:14.880 00:11:20.339 Demilade Agboola: it’s just like the old stuff that we might need to deprecate and get rid of eventually. Once we’re in a good spot with this.

158 00:11:20.550 00:11:25.500 Demilade Agboola: but the new stuff has pretty solid folder structure.

159 00:11:26.640 00:11:27.670 Emily Giant: That’s true.

160 00:11:28.090 00:11:30.760 Emily Giant: These were all net new, so we make sure to like

161 00:11:31.860 00:11:42.850 Emily Giant: make them a lasting structure. I still need to do a couple of tweaks, but I’m working on that like every Pr. I send through. I’m trying to like if it didn’t align with the conventions that you created.

162 00:11:43.150 00:11:47.520 Emily Giant: Change those when I update other stuff.

163 00:11:48.050 00:11:49.109 Demilade Agboola: Yeah, yeah.

164 00:11:51.920 00:11:52.710 Amber Lin: Okay?

165 00:11:53.010 00:11:57.300 Amber Lin: Alright.

166 00:12:02.050 00:12:05.540 Amber Lin: I think alright.

167 00:12:06.380 00:12:08.029 Amber Lin: What about revenue?

168 00:12:12.400 00:12:13.160 Caio Velasco: Hello,

169 00:12:15.430 00:12:29.639 Caio Velasco: So while I I’m continue the work that I’ve been doing this week and since Friday, and I’ve been learning a lot. So orders I was able to build stage orders, stage suborders.

170 00:12:29.800 00:12:46.670 Caio Velasco: I stayed, and then I move to transaction. So I also understand a bit more about stage transactions and stage shop transactions which comes which brings things from shopify, although in the models filtering just for one id, and I don’t know why. But

171 00:12:47.484 00:12:56.325 Caio Velasco: those are all questions in the QA. In the sheet that I’m trying to keep track, so that I also don’t forget what I have to ask Emily

172 00:12:56.770 00:13:04.629 Caio Velasco: And and then I also I think I saw something from discounts in there, or something like that, so I think I will read

173 00:13:05.600 00:13:06.000 Caio Velasco: soon.

174 00:13:06.000 00:13:06.659 Demilade Agboola: Oh, yeah.

175 00:13:07.770 00:13:08.760 Demilade Agboola: How are you?

176 00:13:09.660 00:13:16.560 Caio Velasco: And yeah. So I think the I was supposed to do discount gift cards. But

177 00:13:16.800 00:13:24.759 Caio Velasco: the the the transaction just came first.st So I started with that one, and then I would check those other 2.

178 00:13:25.450 00:13:26.080 Amber Lin: Hmm.

179 00:13:26.080 00:13:37.410 Caio Velasco: So yeah, I think it’s going. It’s moving forward now I see progress, and I think the meeting that I can have with Emily will ha will help me. Just figure out those well, answer the question that I have, but also

180 00:13:37.510 00:13:44.490 Caio Velasco: understand where our discounts coming from, just to be quicker when I, when I need to like, find the the sources.

181 00:13:45.430 00:13:46.200 Caio Velasco: So.

182 00:13:46.200 00:13:55.819 Amber Lin: That sounds good and I know you and Demo has met to produce a technical design document. Is it good for, like a 1st round internal review.

183 00:13:57.627 00:13:58.880 Demilade Agboola: Yes, it is.

184 00:13:59.130 00:14:04.010 Amber Lin: Okay. Do we want

185 00:14:04.500 00:14:11.449 Amber Lin: Emily to review? We can also get Utam to give a 1st round of comments before we present to Zach.

186 00:14:15.940 00:14:16.869 Demilade Agboola: I don’t know. Happy.

187 00:14:17.733 00:14:18.920 Demilade Agboola: Fine. Yeah.

188 00:14:18.920 00:14:19.310 Amber Lin: Okay.

189 00:14:19.870 00:14:20.350 Demilade Agboola: It’s very.

190 00:14:20.350 00:14:27.609 Amber Lin: Awesome. We’ll send it in our channel. Donna, have you had a chance to review the audit orders?

191 00:14:28.764 00:14:34.440 Amber Lin: Have you guys talked about the orders. Part, I know. We said this was in review.

192 00:14:36.281 00:14:39.889 Demilade Agboola: Yes, we did talk about yesterday, and I believe

193 00:14:42.040 00:14:52.489 Demilade Agboola: I believe this allow Kaya to have a better idea of how to like go about this, but I think for orders he’s in a good spot with auditing, as he understands what’s going on there.

194 00:14:52.490 00:14:52.950 Amber Lin: Okay.

195 00:14:53.690 00:14:54.430 Demilade Agboola: Yeah.

196 00:14:57.300 00:15:06.280 Amber Lin: And then then we’re cause we said we were gonna model discounts. Are we gonna model transactions instead?

197 00:15:06.560 00:15:07.329 Amber Lin: Cause, that’s.

198 00:15:07.330 00:15:13.869 Caio Velasco: Transactions. It’s on the way. So I think maybe tomorrow I believe I will be done, because I’m already doing the

199 00:15:14.270 00:15:25.029 Caio Velasco: the finishing. The oms refunds which come right after it. So refunds will also be done along the way, because it just appeared in front of me, and and it was interesting.

200 00:15:25.582 00:15:28.560 Caio Velasco: Then I think discount would be next transactions.

201 00:15:28.560 00:15:29.110 Amber Lin: Oh, okay.

202 00:15:29.110 00:15:31.939 Caio Velasco: I mean, you know, in a very general way, of course.

203 00:15:31.940 00:15:34.680 Amber Lin: For for auditing right? Not for yeah, for auditing.

204 00:15:34.680 00:15:43.940 Amber Lin: Oh, okay, let me move the transact. Sorry the refunds one in progress, then, because if we’re doing that.

205 00:15:45.570 00:15:49.039 Amber Lin: Audit. Oh, never mind. Yeah, it’s already out there. Thank you.

206 00:15:49.450 00:15:55.003 Caio Velasco: No problem. And the other thing was the drop, the drop part of the red sheet tables.

207 00:15:55.810 00:15:58.034 Caio Velasco: I finally finished it.

208 00:15:58.590 00:15:59.240 Amber Lin: Hmm.

209 00:15:59.240 00:16:03.019 Caio Velasco: So everything was dropped from their original schema

210 00:16:03.646 00:16:10.609 Caio Velasco: and every time I was doing like the moving work, and then now the the drop dropping work.

211 00:16:11.049 00:16:18.580 Caio Velasco: I had to also create some other procedures to map those things so that, you know, if you want to move back, then we we know what we did.

212 00:16:19.130 00:16:19.530 Amber Lin: Oh!

213 00:16:19.530 00:16:23.450 Caio Velasco: The next step would be exactly that one to move to the views

214 00:16:23.610 00:16:28.089 Caio Velasco: which I believe can be the same. I hope that I don’t find errors along the way.

215 00:16:28.646 00:16:31.949 Caio Velasco: So yeah, maybe 2 story points for that one.

216 00:16:32.525 00:16:36.240 Caio Velasco: But it can be quicker. It it really depends. When I start. Yeah.

217 00:16:37.010 00:16:37.690 Amber Lin: Okay.

218 00:16:39.560 00:16:45.439 Caio Velasco: There’s like already a 1.9 K table that were in trouble.

219 00:16:49.823 00:16:51.830 Amber Lin: Layered, too.

220 00:16:52.020 00:16:57.970 Amber Lin: 2 points. I will create that.

221 00:16:58.830 00:17:05.909 Amber Lin: And this one’s done. I’m gonna move the other one.

222 00:17:07.180 00:17:09.530 Amber Lin: Go find the redshift.

223 00:17:10.880 00:17:11.660 Amber Lin: Okay?

224 00:17:13.880 00:17:22.419 Amber Lin: Oh, also, just checking in about the Meta plane one is that one started. How is that done? How does that look like.

225 00:17:22.420 00:17:36.320 Uttam Kumaran: Yeah. So we, I think, we’re working on it with them a lot right now. We should have. I’m reviewing sort of what the situation is, I should have it ready to present here during stand up tomorrow. I just need to review.

226 00:17:36.540 00:17:37.269 Uttam Kumaran: I got the update.

227 00:17:37.270 00:17:40.960 Amber Lin: Okay, okay, so I’ll put it in internal review.

228 00:17:41.767 00:17:45.110 Amber Lin: Are we considering Daxter at all?

229 00:17:45.500 00:17:47.210 Amber Lin: No, not anymore. We can.

230 00:17:47.210 00:17:49.069 Amber Lin: Okay, so I’m gonna test it back.

231 00:17:54.170 00:17:55.000 Amber Lin: Okay?

232 00:17:55.450 00:17:56.670 Amber Lin: Oh.

233 00:18:07.860 00:18:23.579 Amber Lin: we’re in a decent spot, I think once we close out some tickets here. We’ll look a better shape in terms of tickets done. I think we’ve we have a decent amount in progress.

234 00:18:25.610 00:18:29.919 Amber Lin: Think we’re pretty good for this cycle. I mean, we have a

235 00:18:30.230 00:18:35.909 Amber Lin: good amount that we scheduled for, and everything’s on track.

236 00:18:38.230 00:18:42.890 Amber Lin: Any potential, I guess. Okay. And we have 2 min. Can

237 00:18:43.220 00:18:49.550 Amber Lin: can each of you tell me like what risk we might encounter this sprint.

238 00:18:53.665 00:18:55.940 Demilade Agboola: Guess the major risk I see is.

239 00:18:56.820 00:19:03.170 Demilade Agboola: Part of the process of queuing is that you know, that might also expand the scope.

240 00:19:03.790 00:19:04.890 Amber Lin: Oh!

241 00:19:04.890 00:19:07.229 Demilade Agboola: Project cause. You know, Felipe is like

242 00:19:07.850 00:19:10.340 Demilade Agboola: second thing here is, look at this and that, and.

243 00:19:10.340 00:19:10.970 Amber Lin: Oh!

244 00:19:11.612 00:19:14.289 Demilade Agboola: Yeah. So that that’s a potential risk.

245 00:19:14.290 00:19:27.719 Amber Lin: I see that’s really valid. That’s something I wanted to present to Zack this Thursday, as well as to get him on the board with us of, like the we’re doing a lot of stuff, but it might not be done

246 00:19:27.960 00:19:36.450 Amber Lin: as soon as when we plan. So let’s we’ll present that risk, and like we’ll make sure he gets the timeline as well.

247 00:19:37.858 00:19:42.489 Amber Lin: Kyle, what do you think? What? What are? What is the risk that you see.

248 00:19:44.886 00:19:46.920 Caio Velasco: Well, for auditing. I think

249 00:19:47.230 00:19:59.709 Caio Velasco: if I continue the way I’m I’ve been doing, it’s it seems to be okay. I think I will be able to at least have an understanding of each of those. Let’s say, topics refund discounts with cars, etcetera.

250 00:19:59.840 00:20:13.050 Caio Velasco: So for me it’s looking good, and and since I’m already not building models, but I need to build queries to understand the process kind of modeling, let’s say that it’s already started.

251 00:20:13.280 00:20:18.370 Caio Velasco: but in a very raw way.

252 00:20:18.960 00:20:21.579 Caio Velasco: So yeah, the progress seems to be good.

253 00:20:22.230 00:20:27.750 Amber Lin: Okay, yeah. Okay, that sounds good, Emily. Anything that you see that might be an issue.

254 00:20:28.080 00:20:34.711 Emily Giant: Same as Demo Lade. Just there are so many fringe cases, and it’s all like net new, so

255 00:20:35.470 00:20:39.810 Emily Giant: that can make things take longer, because there are just unknowns.

256 00:20:40.690 00:20:41.440 Amber Lin: Okay.

257 00:20:42.750 00:20:44.180 Amber Lin: Sounds good

258 00:20:46.220 00:20:52.200 Amber Lin: Sorry. The meeting with Felipe was yesterday, or it wasn’t today. I’m trying to find the tickets for that.

259 00:20:52.200 00:20:53.269 Demilade Agboola: It was like 30 min.

260 00:20:53.270 00:20:54.000 Emily Giant: Them, yet.

261 00:20:54.000 00:20:57.870 Amber Lin: Oh, okay, so it’s not there yet. Okay, alrighty.

262 00:20:57.870 00:21:06.290 Caio Velasco: By the way, just just a quick question tomorrow. I believe I have the the meeting with Emily, but it would be nice to have a zoom

263 00:21:06.886 00:21:17.989 Caio Velasco: link so that it could be recorded. I’m not sure if, because when we do, Philippine, so maybe he would be using this already, and I don’t think I can create one.

264 00:21:18.880 00:21:21.789 Amber Lin: What time is it? I’ll make one for you.

265 00:21:21.790 00:21:22.900 Emily Giant: 9 o’clock.

266 00:21:23.110 00:21:25.210 Amber Lin: 9 o’clock. Okay?

267 00:21:25.450 00:21:28.240 Amber Lin: Cause I will not be awake by then. So you can.

268 00:21:31.422 00:21:33.800 Amber Lin: Emily Kyle, okay.

269 00:21:38.360 00:21:40.969 Caio Velasco: And we can just hop in or.

270 00:21:41.500 00:21:42.310 Amber Lin: Yeah, I.

271 00:21:42.310 00:21:42.860 Caio Velasco: Do it.

272 00:21:43.000 00:21:47.510 Amber Lin: No, it’s just a link you can use my meeting roommate. I send it to both of you.

273 00:21:47.920 00:21:48.909 Caio Velasco: Okay. Thank you.

274 00:21:48.910 00:21:49.710 Amber Lin: All right.

275 00:21:50.480 00:21:51.720 Amber Lin: Thank you both.

276 00:21:52.520 00:21:53.230 Caio Velasco: Perfect.

277 00:21:54.530 00:21:55.740 Amber Lin: Bye, I’ll see you.

278 00:21:55.740 00:21:56.809 Caio Velasco: Bye, bye, see you.

279 00:21:56.810 00:21:58.020 Uttam Kumaran: Thank you. Bye.

280 00:21:58.020 00:21:58.660 Demilade Agboola: Fine.