Meeting Title: [Eden] Standup + EOW Update Date: 2025-09-26 Meeting participants: Henry Zhao, Amber Lin, Awaish Kumar, Demilade Agboola
WEBVTT
1 00:00:17.900 ⇒ 00:00:19.100 Amber Lin: Hello!
2 00:00:19.370 ⇒ 00:00:20.250 Henry Zhao: Amber.
3 00:00:24.660 ⇒ 00:00:32.369 Amber Lin: So we’ll go through stand-up, and then we’ll look at the updates, and then if Robert comes, we’ll see what we can do for…
4 00:00:32.840 ⇒ 00:00:35.220 Amber Lin: his questions for the ALT.
5 00:00:35.220 ⇒ 00:00:39.260 Henry Zhao: Okay, I finished my… I finished my parts on the documents.
6 00:00:39.500 ⇒ 00:00:46.430 Amber Lin: Oh, awesome. Okay, let’s look at here…
7 00:00:48.150 ⇒ 00:00:52.209 Amber Lin: I wish for… for these. Are we gonna do them today?
8 00:00:57.200 ⇒ 00:00:59.440 Awaish Kumar: I can look at 947 today.
9 00:01:00.610 ⇒ 00:01:02.100 Amber Lin: Okay.
10 00:01:03.430 ⇒ 00:01:07.850 Amber Lin: What about 944 and 746?
11 00:01:07.850 ⇒ 00:01:12.140 Awaish Kumar: We can just carry them forward.
12 00:01:13.240 ⇒ 00:01:14.360 Amber Lin: Okay.
13 00:01:20.970 ⇒ 00:01:22.080 Amber Lin: Alright.
14 00:01:25.260 ⇒ 00:01:27.420 Amber Lin: Oh, the MLF’s not here yet.
15 00:01:30.120 ⇒ 00:01:31.050 Awaish Kumar: Yeah, easily.
16 00:01:31.050 ⇒ 00:01:34.429 Henry Zhao: You literally… you literally willed him into existence.
17 00:01:36.300 ⇒ 00:01:44.530 Amber Lin: Well, we only have the document, so I think we’re all done unless ad hoc stuff come up.
18 00:01:45.840 ⇒ 00:01:54.430 Amber Lin: Hi, is there anything… ad hoc stuff that you’ve worked on that I haven’t documented here?
19 00:01:55.230 ⇒ 00:01:57.250 Amber Lin: And you take to create…
20 00:01:57.850 ⇒ 00:01:58.370 Awaish Kumar: problems.
21 00:01:58.370 ⇒ 00:02:05.500 Demilade Agboola: There was a little bit of ad hoc stuff that came up, but it was, like, an hour long, so it was, something for Qatar, he DM’d me.
22 00:02:06.210 ⇒ 00:02:12.559 Demilade Agboola: About a report that he just wanted to see things differently, so I did that.
23 00:02:17.570 ⇒ 00:02:19.349 Amber Lin: What report was that?
24 00:02:20.170 ⇒ 00:02:24.470 Demilade Agboola: I believe it was the Product Rice Dashboard.
25 00:02:24.470 ⇒ 00:02:25.110 Amber Lin: Huh.
26 00:02:38.250 ⇒ 00:02:45.109 Amber Lin: Alright, and then I think we just have this one today. We asked, but they haven’t got back to us.
27 00:02:45.500 ⇒ 00:02:53.170 Amber Lin: So, just the cocks. And then, Henry, on your side… These… these three.
28 00:02:53.170 ⇒ 00:02:54.810 Awaish Kumar: Yeah.
29 00:02:55.140 ⇒ 00:03:06.849 Henry Zhao: I’m… yeah, I’m gonna try to finish all of these today. 8.03, I’ll try to get a push, review in for Awash before end of day. But Awash, no worries if you can’t get to it today, it’s not urgent.
30 00:03:07.420 ⇒ 00:03:18.620 Henry Zhao: And then, I’m working right now on the final LTV and ROIS streaks, now that Awash has added Catalyst columns, and Genwade has fixed the California issue. So, I’m gonna fix those and publish it, and then…
31 00:03:18.970 ⇒ 00:03:22.009 Henry Zhao: I’m 936, just probably by end of day, or by Monday morning.
32 00:03:22.240 ⇒ 00:03:23.320 Amber Lin: Hey, awesome.
33 00:03:23.320 ⇒ 00:03:23.870 Henry Zhao: Okay.
34 00:03:24.220 ⇒ 00:03:24.850 Amber Lin: Pain.
35 00:03:25.620 ⇒ 00:03:27.960 Amber Lin: Oh, we did so much this sprint.
36 00:03:28.210 ⇒ 00:03:32.590 Amber Lin: This is the first rent that on Friday we have, like.
37 00:03:33.520 ⇒ 00:03:35.540 Amber Lin: One or two tickets per person.
38 00:03:41.810 ⇒ 00:03:44.890 Awaish Kumar: So, for a spike for CIO to…
39 00:03:45.750 ⇒ 00:03:46.220 Henry Zhao: Huh.
40 00:03:46.220 ⇒ 00:03:55.880 Awaish Kumar: Bigquery, I have added… The description, like, the result of my investigation in the ticket.
41 00:03:56.090 ⇒ 00:04:00.370 Awaish Kumar: So we need to make a decision on the… Okay.
42 00:04:02.650 ⇒ 00:04:15.190 Awaish Kumar: like, how, like, obviously it’s possible to integrate, and data comes through GCS, and we will do it… we can do it using a direct integration from CIO.
43 00:04:15.280 ⇒ 00:04:28.229 Awaish Kumar: But then there are some further downstream questions, which depends on how we want to use that data. So if you can answer those, like, how this data is going to be used.
44 00:04:28.340 ⇒ 00:04:40.180 Awaish Kumar: how frequent, or how… how it needs to be modeled, or things like that, then I can basically, like, I added 3 comments, basically, so these all are…
45 00:04:41.250 ⇒ 00:04:43.509 Awaish Kumar: result of my investigation, so if you…
46 00:04:44.060 ⇒ 00:04:48.049 Awaish Kumar: Answer some of my questions there regarding how it is being used.
47 00:04:48.200 ⇒ 00:04:50.850 Awaish Kumar: then I can make a decision on,
48 00:04:51.020 ⇒ 00:04:55.460 Awaish Kumar: What is… what would be the best possible way to bring in the data?
49 00:04:55.810 ⇒ 00:04:57.519 Henry Zhao: Amber, can you just make a ticket for me on this?
50 00:04:58.080 ⇒ 00:05:01.460 Henry Zhao: a comment for Monday. I’ll get to it on Monday, I wish, so okay.
51 00:05:03.280 ⇒ 00:05:06.240 Henry Zhao: We have until end of the month, so yeah, I can get to it on Monday.
52 00:05:06.530 ⇒ 00:05:08.249 Amber Lin: Okay, sounds good.
53 00:05:13.600 ⇒ 00:05:14.390 Amber Lin: Huh.
54 00:05:17.370 ⇒ 00:05:20.099 Amber Lin: Oh, I spelled your name wrong.
55 00:05:20.300 ⇒ 00:05:24.590 Amber Lin: Let’s see, I go to my query…
56 00:05:25.470 ⇒ 00:05:27.739 Henry Zhao: At least the note-taker doesn’t call me Abigail anymore.
57 00:05:27.870 ⇒ 00:05:33.050 Amber Lin: That’s so funny. Ariel was only with us for, like, a month.
58 00:05:33.680 ⇒ 00:05:35.850 Henry Zhao: Oh, there was an Abigail, okay.
59 00:05:35.850 ⇒ 00:05:36.610 Amber Lin: Yeah.
60 00:05:36.610 ⇒ 00:05:38.849 Henry Zhao: I thought it just read Henry as Abigail.
61 00:05:38.850 ⇒ 00:05:41.580 Amber Lin: No, I think you guys had the same last name, sir.
62 00:05:41.580 ⇒ 00:05:42.900 Henry Zhao: Oh, okay.
63 00:05:42.900 ⇒ 00:05:51.230 Amber Lin: Okay, let me move… Oops, let me move this to the next cycle.
64 00:05:52.100 ⇒ 00:05:53.380 Amber Lin: Okay.
65 00:05:53.570 ⇒ 00:05:58.259 Amber Lin: And then, I know Robert probably don’t have time to finish that one.
66 00:05:58.310 ⇒ 00:06:03.920 Henry Zhao: talk to Soran, I think he will finish the first one. Okay.
67 00:06:03.920 ⇒ 00:06:09.310 Amber Lin: And then… oh, Jonah sent Robert an email.
68 00:06:09.530 ⇒ 00:06:11.760 Amber Lin: Asking for an ad hoc.
69 00:06:11.980 ⇒ 00:06:15.150 Amber Lin: Delia, can I assign this one to you?
70 00:06:17.630 ⇒ 00:06:19.220 Demilade Agboola: Sure.
71 00:06:20.950 ⇒ 00:06:27.769 Demilade Agboola: Wait, we will have… Like, basically, is that the number of orders that will need to go out?
72 00:06:28.270 ⇒ 00:06:28.760 Demilade Agboola: Next.
73 00:06:28.760 ⇒ 00:06:33.340 Amber Lin: Yeah, I think he wants a projection…
74 00:06:34.400 ⇒ 00:06:40.559 Amber Lin: Or… just whatever will get renewed, he wants an estimate.
75 00:06:44.140 ⇒ 00:06:52.450 Demilade Agboola: Okay, I’ll use the next shipment date. When does… do they mean, like.
76 00:06:53.310 ⇒ 00:07:00.550 Demilade Agboola: So when you mean a renewal, does that… is that, like, the order going out? Is that a people update?
77 00:07:00.550 ⇒ 00:07:04.509 Amber Lin: People, yeah, people redo their subscriptions.
78 00:07:04.990 ⇒ 00:07:09.980 Demilade Agboola: Okay, alright, I would have to look and see… a house.
79 00:07:09.980 ⇒ 00:07:14.830 Awaish Kumar: That will… that means, like, if somebody is on monthly subscription.
80 00:07:15.260 ⇒ 00:07:20.140 Awaish Kumar: they ordered for, like, maybe on last week of August?
81 00:07:20.420 ⇒ 00:07:29.959 Awaish Kumar: If they order on last week of August, then last week of September will be their renewal. Similarly, for 3 months, 6 months, 1 month.
82 00:07:31.060 ⇒ 00:07:35.080 Awaish Kumar: From the fu- first… order date.
83 00:07:35.300 ⇒ 00:07:40.720 Awaish Kumar: And the membership plan, we find out renewal date.
84 00:07:40.970 ⇒ 00:07:48.990 Awaish Kumar: And any of these… if any of that falls in last week of September, we can share that data
85 00:07:49.120 ⇒ 00:07:50.620 Awaish Kumar: With the…
86 00:07:51.360 ⇒ 00:07:59.019 Awaish Kumar: with Jonah, but I think I worked something similar for Rian. So if you want me to look into it, I can do that.
87 00:08:02.170 ⇒ 00:08:02.950 Amber Lin: Okay.
88 00:08:03.400 ⇒ 00:08:06.390 Amber Lin: How many points would that be?
89 00:08:08.520 ⇒ 00:08:09.499 Awaish Kumar: I got one.
90 00:08:09.620 ⇒ 00:08:10.520 Amber Lin: Okay.
91 00:08:11.410 ⇒ 00:08:12.980 Amber Lin: Sounds good.
92 00:08:13.840 ⇒ 00:08:15.040 Amber Lin: Alright.
93 00:08:16.030 ⇒ 00:08:25.130 Amber Lin: That’s all. Let’s go look at the… Even… and a week updates.
94 00:08:25.720 ⇒ 00:08:33.849 Amber Lin: Right now, I have the tickets here, but when we send it, I’m gonna delete all the tickets and just keep it high level.
95 00:08:36.030 ⇒ 00:08:40.569 Amber Lin: Did everyone fill this in for the part of work that you did?
96 00:08:41.980 ⇒ 00:08:46.279 Awaish Kumar: Yeah, I, I, I failed my part, but, like.
97 00:08:46.500 ⇒ 00:08:52.940 Awaish Kumar: Most of the description covers what we did, for example, for Catalyst, or for CIO,
98 00:08:53.290 ⇒ 00:08:56.890 Awaish Kumar: For retention dashboard, I work mainly on these three topics.
99 00:08:57.070 ⇒ 00:09:03.360 Awaish Kumar: And the written description basically covers what the VIN is, basically.
100 00:09:04.490 ⇒ 00:09:07.220 Awaish Kumar: And the detailed view is basically just share the ticket.
101 00:09:12.260 ⇒ 00:09:13.040 Amber Lin: Okay.
102 00:09:13.940 ⇒ 00:09:19.780 Amber Lin: Yeah, I don’t think I’ll share the ticket, because I don’t think they’ll read it. I’ll see what I can…
103 00:09:19.900 ⇒ 00:09:27.829 Amber Lin: update with AI. Demola, did you have a chance to add in what you did?
104 00:09:29.040 ⇒ 00:09:32.780 Demilade Agboola: A lot of what I did was supporting, Henry.
105 00:09:32.800 ⇒ 00:09:34.069 Amber Lin: Hmm, here’s fine. Okay.
106 00:09:34.580 ⇒ 00:09:35.800 Amber Lin: Makes sense.
107 00:09:35.800 ⇒ 00:09:38.890 Demilade Agboola: But, largely… largely covered.
108 00:09:39.200 ⇒ 00:09:47.540 Amber Lin: Okay, that makes sense. Robert’s not here yet, so I’ll… I’ll let it be.
109 00:09:49.110 ⇒ 00:09:54.280 Amber Lin: Let’s do a quick retro, since we’re very early in time.
110 00:09:54.430 ⇒ 00:10:02.980 Amber Lin: I do think this week wouldn’t… A lot better than… Our previous weeks, and…
111 00:10:03.280 ⇒ 00:10:07.959 Amber Lin: Do you guys want to write down some stuff here, what you think went well, and what you think…
112 00:10:08.580 ⇒ 00:10:14.480 Amber Lin: can be… improved. I shared the document link in our chat.
113 00:10:14.880 ⇒ 00:10:15.740 Henry Zhao: Yeah, cool.
114 00:13:38.440 ⇒ 00:13:39.050 Amber Lin: Hmm.
115 00:13:39.170 ⇒ 00:13:45.489 Amber Lin: I’m reading these… And I think we all agree on…
116 00:13:45.870 ⇒ 00:13:48.290 Amber Lin: I think our team is working a lot.
117 00:13:48.690 ⇒ 00:13:50.770 Amber Lin: Weather together, and then…
118 00:13:51.070 ⇒ 00:14:03.740 Amber Lin: we’re able to complete the work we agreed to, which means we are… we know more about how much we can complete, and we have a little bit better planning. I think we have a lot of great…
119 00:14:05.680 ⇒ 00:14:12.719 Amber Lin: items here. I think, especially on… let’s go through them one by one. So the first one’s…
120 00:14:13.110 ⇒ 00:14:19.519 Henry Zhao: since you guys agreed on that, I’m just curious, what made you guys think that we’re focusing only on hours and not on value?
121 00:14:21.490 ⇒ 00:14:23.450 Awaish Kumar: Yeah, it’s me, and .
122 00:14:23.450 ⇒ 00:14:26.780 Amber Lin: Lately, we have been focusing a lot on,
123 00:14:26.950 ⇒ 00:14:30.009 Awaish Kumar: Figuring out how many hours we’re spending in
124 00:14:30.300 ⇒ 00:14:36.040 Awaish Kumar: Although that’s important for us, I…
125 00:14:36.370 ⇒ 00:14:52.889 Awaish Kumar: I think that should not be only focused, because maybe… what if, like, if I assign 10 hours for myself, and I spend most of it doing ad hoc work? But that’s not meaningful for them, like, as a brain forge
126 00:14:53.260 ⇒ 00:15:11.719 Awaish Kumar: like, we pitch ourselves, like, doing the data reporting work, and if I just say, like, for 10 hours I did analog stuff, and there’s… I don’t think for Josh, that’s really meaningful. That supports maybe some of… some of team members’ requests, but it does not actually…
127 00:15:11.780 ⇒ 00:15:14.330 Awaish Kumar: Satisfied, Josh.
128 00:15:14.460 ⇒ 00:15:28.840 Awaish Kumar: So I just need that we have a balance between them. If we are, like, want to deliver value in dedicated number of hours, we should divide it, like, ADOC is… like, ADOC or any other
129 00:15:29.350 ⇒ 00:15:30.300 Awaish Kumar: like…
130 00:15:30.500 ⇒ 00:15:42.190 Awaish Kumar: We should, like, the high priority stuff should get done. Can we define, like, which one is really high value for the client? That should be the high priority. Focus on that first.
131 00:15:42.300 ⇒ 00:15:52.290 Awaish Kumar: And after that, have some time for ad hoc and things. We can always push like, I’m…
132 00:15:53.230 ⇒ 00:15:59.429 Awaish Kumar: If we can, we should push for ad hoc requests, and not for actual deliverables.
133 00:15:59.430 ⇒ 00:16:02.469 Amber Lin: Like, some of the ad hoc is really necessary for operations.
134 00:16:02.470 ⇒ 00:16:03.069 Henry Zhao: Yeah.
135 00:16:03.070 ⇒ 00:16:08.020 Awaish Kumar: Where we need to do it, but some of their docs can be pushed.
136 00:16:08.960 ⇒ 00:16:18.520 Henry Zhao: Yeah, I feel like we did that this week, though. I just feel like a lot of ad hoc stuff came in, and we focused on the Tableau stuff, which does have value, and then some of the other stuff we pushed.
137 00:16:19.940 ⇒ 00:16:25.009 Henry Zhao: Yeah, so I think we did okay on this, but I agree with you that this is important. I just think that we…
138 00:16:25.230 ⇒ 00:16:29.550 Henry Zhao: Are… we do have that in the back of our minds, and are at least aware of that.
139 00:16:29.940 ⇒ 00:16:41.930 Amber Lin: Yeah, I think so. I don’t… I think always, bringing a good point, is that even though we… we do it somewhat now, we don’t have an approach to doing this. It’s like, we don’t have
140 00:16:42.090 ⇒ 00:16:46.639 Amber Lin: a limit for the amount of ad hoc tickets. We… we managed
141 00:16:46.960 ⇒ 00:17:06.759 Amber Lin: with this print, but we don’t have a limit on what we push out. We don’t have, an order of what we push out first. We also don’t define priority across the board. It’s more of a, within this project, this is the highest priority, so maybe we should look at that closer in planning.
142 00:17:06.880 ⇒ 00:17:07.949 Amber Lin: Yeah.
143 00:17:08.280 ⇒ 00:17:13.920 Amber Lin: Okay, next, next one, Henry. Similar, so the first point, I…
144 00:17:14.310 ⇒ 00:17:25.880 Awaish Kumar: Yeah, I just should continue with first point as well, and that’s related to knowledge. Like, I mean, some of the work which we are doing, like, because we have
145 00:17:26.140 ⇒ 00:17:31.150 Awaish Kumar: We have been working on different things, for example.
146 00:17:31.290 ⇒ 00:17:49.520 Awaish Kumar: my, like, tagging and dragging work, although I have been part of it, at some places, but, like, most of it is being done by Zora or Henry, or even the discussion is… is not… not happening between us. So that’s, like, kind of,
147 00:17:50.010 ⇒ 00:17:53.460 Awaish Kumar: For us, we have very little
148 00:17:53.610 ⇒ 00:18:01.340 Awaish Kumar: exposure, what’s happening, what we have implemented, and for example, tomorrow Zoran leaves,
149 00:18:01.490 ⇒ 00:18:08.370 Awaish Kumar: Like, how we are going to maintain that. So that knowledge transfer part is missing.
150 00:18:08.540 ⇒ 00:18:09.000 Amber Lin: I’m…
151 00:18:09.000 ⇒ 00:18:12.289 Awaish Kumar: I really want to focus on that, like, in the next.
152 00:18:12.290 ⇒ 00:18:13.910 Henry Zhao: Who lives? Sorry, who leaves?
153 00:18:14.770 ⇒ 00:18:17.110 Amber Lin: Just as a scenario. So.
154 00:18:17.110 ⇒ 00:18:17.690 Henry Zhao: Oh, okay.
155 00:18:17.690 ⇒ 00:18:21.129 Amber Lin: If Zora’s no longer here, we don’t know what he… how he did.
156 00:18:21.130 ⇒ 00:18:21.520 Henry Zhao: Yeah, yeah.
157 00:18:21.520 ⇒ 00:18:29.870 Amber Lin: I asked Warren to do documentation for Northbeam, So…
158 00:18:30.480 ⇒ 00:18:46.290 Amber Lin: Are there… let’s say… what would be a reasonable approach to this? Because maybe we do one documentation per week, or let’s… we can try… list out all processes, assign…
159 00:18:46.700 ⇒ 00:18:51.230 Amber Lin: One person to one documentation per week.
160 00:18:51.630 ⇒ 00:18:52.789 Amber Lin: Does that work?
161 00:18:52.790 ⇒ 00:18:55.040 Awaish Kumar: Yeah, yeah, that… that would be…
162 00:18:56.350 ⇒ 00:18:58.810 Awaish Kumar: Okay. So, that would be nice.
163 00:18:58.920 ⇒ 00:19:06.020 Awaish Kumar: Same, like, yeah, like, for… especially for, like, marketing, tagging, tracking work.
164 00:19:06.300 ⇒ 00:19:09.489 Awaish Kumar: Like, we have a list of tools, and then we have a list of approaches.
165 00:19:09.700 ⇒ 00:19:20.439 Awaish Kumar: And I listed out some of them, like, creating separate pages for them, but I might have missed, like, Henry can help us, like, create those
166 00:19:20.670 ⇒ 00:19:24.069 Awaish Kumar: And defund all those different pages, and then we can…
167 00:19:24.170 ⇒ 00:19:26.189 Awaish Kumar: fill in. It’s not just wins.
168 00:19:26.410 ⇒ 00:19:41.820 Awaish Kumar: Like, what we have achieved, but that’s, like, one part of the document. But it should be… it should show, like, what is the approach, what has been done, how… how that platform is set up and configured, and how data is being,
169 00:19:42.290 ⇒ 00:19:44.269 Awaish Kumar: How data is, like.
170 00:19:44.640 ⇒ 00:19:51.509 Awaish Kumar: is being transferred in and out from that platform, and plus the impact, or the VIN.
171 00:19:51.700 ⇒ 00:19:52.280 Awaish Kumar: So that.
172 00:19:52.280 ⇒ 00:19:53.020 Amber Lin: Oh.
173 00:19:53.190 ⇒ 00:19:54.410 Awaish Kumar: Finalizes the document.
174 00:19:55.310 ⇒ 00:20:04.250 Amber Lin: Okay, great. Let’s move on to the next point. Harry, you said, meeting deadlines still.
175 00:20:04.960 ⇒ 00:20:15.110 Henry Zhao: Yeah, just Cutter, I think this morning was a little bit, like, why is the catalyst spin still not there? So, either we just need to communicate that the… it’s gonna be done on Friday, or, you know…
176 00:20:16.430 ⇒ 00:20:18.660 Henry Zhao: Get it done a little bit earlier, yeah.
177 00:20:18.820 ⇒ 00:20:19.650 Henry Zhao: That’s all.
178 00:20:20.470 ⇒ 00:20:21.350 Amber Lin: I see.
179 00:20:23.470 ⇒ 00:20:30.949 Henry Zhao: Yeah, Wish, I asked you on Wednesday, like, if you could do it by end of day, not because, like, I was trying to rush you, but just because, like, Qatar seemed like he needed it ASAP, so yeah.
180 00:20:30.950 ⇒ 00:20:34.459 Awaish Kumar: I… Yeah, I understand, but it’s just that weekly.
181 00:20:34.460 ⇒ 00:20:35.779 Henry Zhao: No, no, I know. I’m not blaming you.
182 00:20:35.780 ⇒ 00:20:53.289 Awaish Kumar: So, for example, we know that we have to write a data pipeline that will bring in the data. That will happen today, modeling will happen next day, so… and then the dashboarding, so we should, like, give the… like, we should not, like.
183 00:20:53.650 ⇒ 00:20:57.870 Awaish Kumar: What do you say, inflate their expectation, like, give them real…
184 00:20:58.010 ⇒ 00:21:03.090 Awaish Kumar: Deadlines and expectations on when they kick in, like, see it.
185 00:21:03.230 ⇒ 00:21:09.089 Awaish Kumar: If, until and unless there is something really, like, deal-breaking, and.
186 00:21:09.090 ⇒ 00:21:09.470 Henry Zhao: Yeah, yeah, yeah.
187 00:21:09.470 ⇒ 00:21:12.699 Awaish Kumar: We need to do it anyhow, like, leave everything and work on this.
188 00:21:12.990 ⇒ 00:21:14.160 Awaish Kumar: Yeah, I think so.
189 00:21:14.160 ⇒ 00:21:25.799 Henry Zhao: Yeah. No, yeah, I’m not blaming you, I just knew that this week there were a few modeling tasks that I was waiting for, for the Tableau changes, and, like, it was midnight, and it still was, like, blocked, even though the due date was today, so yeah, just…
190 00:21:26.450 ⇒ 00:21:29.300 Henry Zhao: Not blaming anyone, just saying, like, that was something that maybe we can improve.
191 00:21:29.650 ⇒ 00:21:39.899 Amber Lin: Yeah, I think, one, it’s setting deadlines, because we… we know that it has, modeling work, so maybe, modeling work, and…
192 00:21:40.510 ⇒ 00:21:45.050 Amber Lin: Visualization not due on the same.
193 00:21:45.160 ⇒ 00:22:00.980 Amber Lin: day. And then we should also send… once we schedule, okay, model… pipeline modeling, visualization, then we tell the client, hey, these are gonna take one day each, and then it’s gonna be due by Thursday. And we didn’t tell that to Cutter, and hence Cutter was like.
194 00:22:00.980 ⇒ 00:22:08.240 Henry Zhao: Exactly, yeah. And some, it’s like, Demolite finished it on day one, but then day two is the poll, like, the pull request getting reviewed.
195 00:22:08.840 ⇒ 00:22:13.439 Henry Zhao: And then, like, Tableau had some issues, right? So, like, we should give some buffer there, yeah, so I agree.
196 00:22:16.730 ⇒ 00:22:26.439 Henry Zhao: Yeah, again, in the… in the… what we did well, I said we did well in terms of teamwork, so this is not, like, anyone’s fault. I’m just saying, like, we can be even better in terms of communicating deadlines and giving ourselves some buffer.
197 00:22:27.330 ⇒ 00:22:36.889 Henry Zhao: Because this is, like, a not-super-simple… it’s not, like, as simple as just clicking a button, right? It’s like, there’s modeling, there’s review, there’s making the change, publishing, all that stuff.
198 00:22:37.230 ⇒ 00:22:38.480 Henry Zhao: Yeah.
199 00:22:39.840 ⇒ 00:22:45.690 Amber Lin: Alright, and then, Do I, you said better process to handle blocked tickets.
200 00:22:47.750 ⇒ 00:22:50.510 Demilade Agboola: Yes, I think…
201 00:22:53.490 ⇒ 00:23:02.399 Demilade Agboola: So, I mean, we have certain block tickets that are either a function of, you know, other stakeholders, like Zach Bask or other people, basically.
202 00:23:02.760 ⇒ 00:23:11.739 Demilade Agboola: But ultimately, we need to be able to figure out what do we do with those tickets, and how do we eventually solve the problem that we’re trying to solve.
203 00:23:12.180 ⇒ 00:23:18.710 Demilade Agboola: That being blocked. Do we need to escalate? Do we need to…
204 00:23:19.780 ⇒ 00:23:29.239 Demilade Agboola: do we need to think of brainstorm a different solution? Like, my point is, it’s blocked, yeah, but, like, ultimately, we do still need to solve the problem.
205 00:23:29.760 ⇒ 00:23:47.569 Amber Lin: Yeah, agreed. And we can survive for a bit when client asks us, and we say, oh, they just didn’t get back to us, but eventually, the client will be like, then why didn’t you ask me to go ask them? So maybe we can do at least once a week to tell Josh, hey.
206 00:23:47.570 ⇒ 00:23:58.280 Amber Lin: we need responses from these people, can you tag them. We can send that by Wednesday or send that by Friday. And then he will be happy to do that, because it’s blocking
207 00:23:58.340 ⇒ 00:24:03.110 Amber Lin: the work that we do for him, so I think that’s something… that’s something that we can do.
208 00:24:04.960 ⇒ 00:24:06.460 Demilade Agboola: Okay, sounds good.
209 00:24:06.460 ⇒ 00:24:16.779 Amber Lin: Yeah, and you said utility beyond tickets, opportunity, scoping. Is this similar to what we said here, or is it different?
210 00:24:17.130 ⇒ 00:24:27.430 Demilade Agboola: Sort of different, but there’s… there is some similarity, in the sense that, right now, it feels like everything is…
211 00:24:27.850 ⇒ 00:24:33.479 Demilade Agboola: A function of either the client needs this, or this is what’s going on, therefore we have.
212 00:24:33.480 ⇒ 00:24:34.150 Amber Lin: I have tickets.
213 00:24:35.050 ⇒ 00:24:40.210 Demilade Agboola: But ultimately, I feel like Since we’re consultants.
214 00:24:40.370 ⇒ 00:24:51.400 Demilade Agboola: there should be protein, which, even if it’s once a week, 15-minute sessions, where we’re trying to think of, like, is there anything we can do for Eden that can take them to the next level, or is there any opportunity we can…
215 00:24:51.520 ⇒ 00:25:02.489 Demilade Agboola: apply something in here in terms of a marketing analysis, in terms of whatever, like, A-B testing, things, like, we can apply to them and say, hey.
216 00:25:02.740 ⇒ 00:25:12.859 Demilade Agboola: we recommend you try this, and that could potentially open up a door for you, or open up an opportunity for you. Just basically.
217 00:25:12.960 ⇒ 00:25:17.039 Demilade Agboola: Like, instead of us just, like, handling tickets, can we…
218 00:25:17.170 ⇒ 00:25:19.269 Demilade Agboola: Potentially find how we can take
219 00:25:20.210 ⇒ 00:25:23.659 Demilade Agboola: provide solutions to problems that don’t exist yet, that sort of what.
220 00:25:23.660 ⇒ 00:25:26.740 Amber Lin: I see, okay.
221 00:25:28.050 ⇒ 00:25:38.290 Amber Lin: would that be… do you guys think that would be a meeting, like, every week or every other week? And then we can brainstorm that together?
222 00:25:38.960 ⇒ 00:25:47.999 Amber Lin: Right now, Robert does all of the thinking, and you’re right in that we’re mostly reactive, execution-based.
223 00:25:51.760 ⇒ 00:25:54.329 Henry Zhao: I’m starting to try and think about some of this stuff now.
224 00:25:54.800 ⇒ 00:25:56.770 Henry Zhao: Like, like, yeah.
225 00:25:57.400 ⇒ 00:26:01.689 Demilade Agboola: Yeah, it could… it could be… it could be a meeting, it could be a document where we…
226 00:26:02.720 ⇒ 00:26:19.879 Demilade Agboola: So once every two weeks, which is like, does anyone have any ideas? Has anyone may think about anything? I think also just having that as a goal, or having that as a… something we want to do, and have a continuous process around, allows us to brainstorm, because even if you don’t have an idea right now.
227 00:26:20.140 ⇒ 00:26:26.509 Demilade Agboola: Because your mind is open to it, it’s just like… it’s not about just the tickets, you’re thinking, how else can…
228 00:26:26.760 ⇒ 00:26:31.859 Demilade Agboola: can we do something? It could be an article you read, it could be a solution you see.
229 00:26:31.860 ⇒ 00:26:32.779 Amber Lin: Oh my god.
230 00:26:33.020 ⇒ 00:26:35.019 Demilade Agboola: This would apply a lot to Eden.
231 00:26:35.140 ⇒ 00:26:41.210 Demilade Agboola: And that… that’s just different from my candling tickets, is sort of what I was just thinking of.
232 00:26:42.360 ⇒ 00:26:50.720 Amber Lin: Yeah, and then we can always send some articles and stuff to the client so that they can think about it, and it shows that we’re thinking about them.
233 00:26:50.910 ⇒ 00:27:00.369 Amber Lin: Lastly, it’s more… mine’s more executional. It’s, very… I think we did good planning. I don’t think we…
234 00:27:00.720 ⇒ 00:27:13.449 Amber Lin: we’re very strict about this is the limit. I think it’s because some tickets carried over, it was a little hard to estimate how much were actually new tickets.
235 00:27:13.800 ⇒ 00:27:22.860 Amber Lin: Then maybe we can ask for hours mid-sprint to see, okay, we already worked this much this week, we need to be careful how much we take on.
236 00:27:22.960 ⇒ 00:27:31.989 Amber Lin: Next is to send a quick note after Monday’s planning, because I think we plan, and yes, Josh and Cutter usually comes to a stand-up, but…
237 00:27:32.030 ⇒ 00:27:50.910 Amber Lin: I don’t think they would remember what we talked about, so I think it’s important to send them a little note. And lastly, to estimate with buffers, because right now it’s… you say 1 hour, I put 1 hour down, and sometimes it ends up taking two hours, so maybe we start putting a little bit buffer
238 00:27:50.980 ⇒ 00:27:54.020 Amber Lin: Especially on some bigger tickets.
239 00:27:56.240 ⇒ 00:28:04.349 Amber Lin: Okay, that’s all. We’re at time, perfectly. I think this is great. I will edit this, and I’ll send,
240 00:28:04.510 ⇒ 00:28:12.379 Amber Lin: I’ll send… the stuff over. Delilah, how many hours did you work for Eden this week?
241 00:28:15.250 ⇒ 00:28:17.340 Demilade Agboola: About 13.
242 00:28:17.860 ⇒ 00:28:19.140 Amber Lin: 13 hours.
243 00:28:19.530 ⇒ 00:28:25.389 Amber Lin: I don’t… Zora has this hour, so great. Okay, that will be really helpful for me.
244 00:28:25.550 ⇒ 00:28:29.110 Amber Lin: Thanks, everybody, and I’ll see you next week.
245 00:28:30.220 ⇒ 00:28:31.510 Henry Zhao: Thank you, guys.
246 00:28:31.750 ⇒ 00:28:32.140 Amber Lin: Huh.