Meeting Title: PM Planning／Retro Date: 2025-03-28 Meeting participants: Aakash Tandel, Uttam Kumaran, Amber Lin
WEBVTT
1 00:02:56.580 ⇒ 00:02:57.830 Uttam Kumaran: Hello!
2 00:03:00.240 ⇒ 00:03:02.240 Amber Lin: Hello again.
3 00:03:02.850 ⇒ 00:03:08.250 Amber Lin: I am working on a few of the things in the backlog, I think. Next month
4 00:03:08.520 ⇒ 00:03:17.609 Amber Lin: Philippines has a lot of holidays, so I think, confirm that with you
5 00:03:17.940 ⇒ 00:03:24.099 Uttam Kumaran: How like, where can we? We can we like get a holiday spreadsheet? Or can we get a holiday notion going
6 00:03:24.300 ⇒ 00:03:27.499 Amber Lin: I I need that because I don’t know where they’re gonna be
7 00:03:27.500 ⇒ 00:03:34.050 Uttam Kumaran: Can you ask? Can you just put into Chat Gbt, and just put where everybody is and just say like, Generate me a canvas
8 00:03:34.200 ⇒ 00:03:35.690 Uttam Kumaran: with all the core holidays.
9 00:03:35.690 ⇒ 00:03:37.859 Amber Lin: Oh, oh, wow, okay, yeah.
10 00:03:37.990 ⇒ 00:03:38.659 Amber Lin: Can do.
11 00:03:38.660 ⇒ 00:03:41.280 Uttam Kumaran: For, and then I’ll give you like all the countries, and then
12 00:03:41.280 ⇒ 00:03:41.860 Amber Lin: Yeah, just
13 00:03:41.860 ⇒ 00:03:44.729 Uttam Kumaran: Like, we’re trying to basically build an out of office process.
14 00:03:44.730 ⇒ 00:03:50.030 Uttam Kumaran: Okay, okay, okay, throw it in notion. And then we can at least like, go get feedback from everyone
15 00:03:50.030 ⇒ 00:03:55.250 Amber Lin: Yeah, let me share screen, hey?
16 00:03:55.450 ⇒ 00:03:57.849 Amber Lin: So where is it?
17 00:03:59.080 ⇒ 00:04:02.970 Amber Lin: Oh, we are trying
18 00:04:15.820 ⇒ 00:04:17.579 Amber Lin: countries, maybe.
19 00:04:18.860 ⇒ 00:04:19.920 Amber Lin: Oh.
20 00:04:27.700 ⇒ 00:04:30.229 Amber Lin: we have US.
21 00:04:55.920 ⇒ 00:04:58.250 Amber Lin: National holidays.
22 00:04:58.390 ⇒ 00:04:59.760 Amber Lin: Okay?
23 00:05:01.660 ⇒ 00:05:02.850 Amber Lin: Almost.
24 00:05:09.290 ⇒ 00:05:16.040 Amber Lin: So we have United States whoops, oops.
25 00:05:16.430 ⇒ 00:05:18.179 Amber Lin: We have Philippines
26 00:05:21.990 ⇒ 00:05:23.339 Amber Lin: we have.
27 00:05:25.390 ⇒ 00:05:27.140 Amber Lin: Who else is in where
28 00:05:27.140 ⇒ 00:05:28.280 Uttam Kumaran: Malta.
29 00:05:28.410 ⇒ 00:05:29.280 Amber Lin: Well.
30 00:05:29.280 ⇒ 00:05:30.170 Uttam Kumaran: Goal.
31 00:05:30.170 ⇒ 00:05:31.560 Amber Lin: Portugal.
32 00:05:34.400 ⇒ 00:05:35.690 Uttam Kumaran: Argentina
33 00:05:37.970 ⇒ 00:05:38.590 Amber Lin: Today
34 00:05:40.120 ⇒ 00:05:44.001 Uttam Kumaran: I would just add a couple of the other like common ones. Let’s let’s just add, like
35 00:05:44.690 ⇒ 00:05:47.798 Uttam Kumaran: let’s add Mexico, let’s add,
36 00:05:48.720 ⇒ 00:06:04.300 Uttam Kumaran: Uk, let’s add, India, China, Ukraine, Brazil, Canada.
37 00:06:06.600 ⇒ 00:06:08.390 Uttam Kumaran: Yeah, that’s probably fine, for now
38 00:06:11.290 ⇒ 00:06:16.400 Amber Lin: You want them to sort by country, we’ll just sort by country. First, st let’s get an overview.
39 00:06:20.250 ⇒ 00:06:21.690 Amber Lin: The phone
40 00:06:25.010 ⇒ 00:06:27.520 Amber Lin: that feels oddly short
41 00:06:28.520 ⇒ 00:06:29.339 Uttam Kumaran: What do you mean?
42 00:06:30.264 ⇒ 00:06:34.890 Amber Lin: Okay. Jan of New Year’s Jane Martin Luther King.
43 00:06:35.120 ⇒ 00:06:36.240 Amber Lin: Okay.
44 00:06:37.610 ⇒ 00:06:39.707 Aakash Tandel: Yeah, we only have so many Federal holidays.
45 00:06:40.280 ⇒ 00:06:42.879 Amber Lin: Yeah. Official holidays. Sounds. Good
46 00:06:42.880 ⇒ 00:06:45.770 Uttam Kumaran: Don’t tell me the numbers like a hundred days. Guys like, I don’t.
47 00:06:45.770 ⇒ 00:06:47.170 Uttam Kumaran: Okay, like, what? What are we gonna do
48 00:06:47.170 ⇒ 00:06:52.469 Uttam Kumaran: around here like, I don’t know if I, even some people ask me like isn’t a holiday Monday like, what are you up to? I’m like
49 00:06:52.950 ⇒ 00:06:54.170 Uttam Kumaran: dude the same
50 00:06:54.170 ⇒ 00:07:00.420 Uttam Kumaran: thing I am doing every Monday, for I’ve been doing like we’re working. I don’t know who’s all who made it a holiday
51 00:07:01.680 ⇒ 00:07:10.770 Aakash Tandel: Yeah, we definitely both devices I worked at. They were like, Oh, we’re gonna add Juneteenth. And then, like, Oh, we’re gonna get rid of Presence day that I’m like, okay, that that’s fair.
52 00:07:12.900 ⇒ 00:07:29.549 Uttam Kumaran: I within. I mean, I also like Look. I’d like to take the July. I like to take July 4th off some of the days there, they add one every like. I actually would prefer that we we’re able to like. If you ask me. I want to get us to take Fridays off like that’d be nice. But we’re in client business, so maybe we can’t do that. But
53 00:07:29.930 ⇒ 00:07:31.060 Amber Lin: Oh, wow!
54 00:07:33.280 ⇒ 00:07:35.980 Amber Lin: That okay. Philippines.
55 00:07:36.530 ⇒ 00:07:39.970 Amber Lin: April. Oh, goodness, okay.
56 00:07:40.580 ⇒ 00:07:42.090 Uttam Kumaran: Philippines fries a lot
57 00:07:42.946 ⇒ 00:07:52.930 Amber Lin: Mostly in January, mostly in April, though, yeah, okay.
58 00:07:54.650 ⇒ 00:07:58.320 Aakash Tandel: Are we just adding this to the official calendar for the
59 00:07:58.840 ⇒ 00:08:06.129 Amber Lin: I think we’ll create a document, and we’ll figure out which one is good or not. Malta has a lot of holidays.
60 00:08:07.430 ⇒ 00:08:15.570 Amber Lin: Portugal, Argentina, alright, I’ll make a I’ll make a document in notion, and
61 00:08:55.210 ⇒ 00:08:55.770 Aakash Tandel: Cool.
62 00:08:56.250 ⇒ 00:08:59.479 Amber Lin: Yeah. Why don’t we get started? I’ll send that over. But
63 00:09:00.980 ⇒ 00:09:05.169 Aakash Tandel: Sure do. I just want to do a quick update on
64 00:09:05.450 ⇒ 00:09:06.943 Amber Lin: Project statuses,
65 00:09:08.880 ⇒ 00:09:10.949 Aakash Tandel: Alright, Amber, you wanna start you want me to start
66 00:09:11.320 ⇒ 00:09:14.759 Amber Lin: Please start. I will. Make this document
67 00:09:15.740 ⇒ 00:09:18.539 Aakash Tandel: Cool. Yeah. So for Eden,
68 00:09:19.360 ⇒ 00:09:22.349 Aakash Tandel: we have a lot of stuff in
69 00:09:23.050 ⇒ 00:09:28.970 Aakash Tandel: flight. I wanna make sure that James’s stuff for Eden is wrapped by today.
70 00:09:28.970 ⇒ 00:09:29.650 Uttam Kumaran: Okay.
71 00:09:30.343 ⇒ 00:09:31.290 Aakash Tandel: I don’t
72 00:09:31.450 ⇒ 00:09:45.600 Aakash Tandel: he? He had some. I think the initial ask was to get the retention dashboard that was in Looker ported over to tableau. I can’t say it’s identical and there’s still some things that need to be modified. But I think
73 00:09:46.060 ⇒ 00:09:49.140 Aakash Tandel: at this point, if we’re gonna bring Annie on. It might be worth her
74 00:09:49.250 ⇒ 00:09:53.819 Aakash Tandel: having to make the slight modifications next week as opposed to James. I don’t know.
75 00:09:53.820 ⇒ 00:09:54.250 Aakash Tandel: Yes.
76 00:09:55.520 ⇒ 00:09:56.630 Uttam Kumaran: I feel like, yeah.
77 00:09:57.510 ⇒ 00:09:58.060 Aakash Tandel: Cool.
78 00:09:58.828 ⇒ 00:10:02.659 Aakash Tandel: Let me just write that down. Okay, James.
79 00:10:03.120 ⇒ 00:10:08.110 Aakash Tandel: Dash, shoot any attention.
80 00:10:08.732 ⇒ 00:10:19.720 Aakash Tandel: Sahana’s work is mostly done. There’s some modeling stuff that needs to be changed, but it’s like the the basics of it are done, and that’s sent over to Mattesh. So that’s good.
81 00:10:21.100 ⇒ 00:10:22.820 Aakash Tandel: I want to.
82 00:10:23.500 ⇒ 00:10:28.089 Aakash Tandel: Sahana’s worked on a lot of different things, and I was.
83 00:10:28.280 ⇒ 00:10:39.974 Aakash Tandel: I want to find a way to download all the stuff she’s done in her brain into something that Annie can start to ingest, because there’s just a lot there. So
84 00:10:40.340 ⇒ 00:10:47.120 Uttam Kumaran: Can I give you an example of like what that Doc could look like? And you could just tell me if this is fine. So this is what we presented to stack Blitz.
85 00:10:49.360 ⇒ 00:10:50.660 Uttam Kumaran: and
86 00:10:52.200 ⇒ 00:11:08.739 Uttam Kumaran: that’s probably what we’ll end up going with broadly. But we turn, we. We basically put together this like project documentation. The top part is sort of partly of the engagement history. The bottom part is like information about what what the current project is, what what we’ve done.
87 00:11:08.880 ⇒ 00:11:14.490 Uttam Kumaran: Body things go from here to here and then implementation overview. So it’s like just faqs, basically
88 00:11:14.630 ⇒ 00:11:15.204 Aakash Tandel: Yeah.
89 00:11:16.010 ⇒ 00:11:20.649 Uttam Kumaran: And this is like a probably a little bit more disorganized. But everything is at least FAQ based.
90 00:11:23.090 ⇒ 00:11:35.859 Uttam Kumaran: I can go ahead and just like, throw something like this together for Eden. I’ll answer as much as I know, like, what I basically did is I just talked into a microphone for like 5, 10 min about back, Blitz, and then I had AI
91 00:11:36.160 ⇒ 00:11:38.929 Uttam Kumaran: just answer like as many as possible.
92 00:11:39.550 ⇒ 00:11:40.370 Aakash Tandel: Oh, awesome!
93 00:11:40.370 ⇒ 00:11:43.540 Uttam Kumaran: What what the other thing I could do is basically.
94 00:11:44.530 ⇒ 00:11:59.560 Uttam Kumaran: if we can just list some questions here, I can also just call. I can basically ask Sahana to record a loom answering each of these questions, or I can call her, ask her, ask it myself, and then have AI basically throw it into the answers.
95 00:12:00.542 ⇒ 00:12:04.579 Uttam Kumaran: Does something like this? Would would this something like this be effective? And is it like.
96 00:12:04.840 ⇒ 00:12:09.350 Uttam Kumaran: Okay, pharmacy? What are all the questions kind of thing
97 00:12:09.760 ⇒ 00:12:12.180 Aakash Tandel: Yeah, I think this would be very effective. Yeah.
98 00:12:13.250 ⇒ 00:12:20.770 Aakash Tandel: yeah, if we can just get her to talk. And that gets turned into an FAQ, even if there’s like a little bit of cleanup. That’s fine. I think that would be awesome
99 00:12:22.160 ⇒ 00:12:23.210 Uttam Kumaran: Okay. Cool.
100 00:12:24.910 ⇒ 00:12:27.679 Aakash Tandel: Alright. So let’s note that there so sorry
101 00:12:27.680 ⇒ 00:12:32.920 Uttam Kumaran: Can you? Yeah. Can you just toss you just assign it to me, saying, like, Establish eaten.
102 00:12:33.360 ⇒ 00:12:39.050 Uttam Kumaran: You can do this for Javi, too, because we because I, we just presented this this week and they liked it.
103 00:12:39.170 ⇒ 00:12:39.720 Uttam Kumaran: And
104 00:12:41.720 ⇒ 00:12:46.540 Uttam Kumaran: yeah, it’s part of the part of the endless to do list to just get this over the hump
105 00:12:46.820 ⇒ 00:12:49.140 Aakash Tandel: What do you want to call this thing like just project documentation?
106 00:12:49.140 ⇒ 00:12:53.630 Uttam Kumaran: Yeah, you could just say you could just say, core project documentation.
107 00:12:54.570 ⇒ 00:12:59.370 Uttam Kumaran: Basically, what I’m hoping is like, this will just be the one stop shop if you were to start anywhere.
108 00:12:59.730 ⇒ 00:13:06.720 Uttam Kumaran: And then, if there are like bigger topics like, and you need sub pages, you can just do them in here
109 00:13:06.820 ⇒ 00:13:11.929 Aakash Tandel: But this is what we’re gonna start feeding to the AI. So I want to have everything here sort of in in this Qa.
110 00:13:12.030 ⇒ 00:13:13.070 Uttam Kumaran: Sort of format.
111 00:13:13.460 ⇒ 00:13:17.610 Uttam Kumaran: And that way it’s like the the answers could be technical, the answers. But everything is a question
112 00:13:18.240 ⇒ 00:13:18.900 Aakash Tandel: Yeah.
113 00:13:23.440 ⇒ 00:13:33.887 Aakash Tandel: downloaded or uploaded to dock, and I’ll look for Annie to consume and move forward.
114 00:13:34.490 ⇒ 00:13:36.600 Aakash Tandel: Yeah, okay, cool.
115 00:13:38.210 ⇒ 00:13:41.760 Aakash Tandel: Looking back on Eden.
116 00:13:42.607 ⇒ 00:13:44.690 Aakash Tandel: Oh, where did that tab go?
117 00:13:49.350 ⇒ 00:14:00.171 Aakash Tandel: Okay. Yeah. The so demalade is doing data consistency things. For between tableau and bigquery,
118 00:14:01.080 ⇒ 00:14:05.659 Aakash Tandel: Josh keeps saying that he doesn’t have trust in our core
119 00:14:06.200 ⇒ 00:14:33.429 Aakash Tandel: data. And I think when he’s saying core data, he’s talking primarily about our tableau dashboards. So I’m not sure if there’s like some sort of investigation we need to do, or some sort of like definitional documentation. But there’s something that is missing here, and he doesn’t feel like these. The numbers that we’re getting out of tableau are always right. And that’s just causing, like trust issues with the rest of the work we’re doing. So. Yeah, I need to work with Robert to
120 00:14:34.400 ⇒ 00:14:43.449 Uttam Kumaran: Yeah, so so basically the best. So this is like the best way I’ve seen this handled is it needs to be handled in like a like a workshop where it’s like.
121 00:14:43.760 ⇒ 00:14:48.929 Uttam Kumaran: okay, just tell me what the problem is. We’ll we’ll show you what our process is to go diagnose.
122 00:14:49.364 ⇒ 00:14:57.509 Uttam Kumaran: and then, and then you’ll basically start to gain trust. If he just shows up every day and stand up as the only touch point. It’s it’s gonna be really really hard
123 00:14:58.025 ⇒ 00:15:01.930 Uttam Kumaran: cause he’s basically gonna say, stop everything till this is happening.
124 00:15:02.110 ⇒ 00:15:03.409 Uttam Kumaran: Yeah, I think.
125 00:15:03.530 ⇒ 00:15:09.580 Uttam Kumaran: like, if you can get an hour with him and like a wish for him and demalade to just
126 00:15:09.690 ⇒ 00:15:15.960 Uttam Kumaran: do like a 1 h. Okay, we’re gonna live code. And like, walk through how we diagnose you build some empathy.
127 00:15:16.250 ⇒ 00:15:19.460 Uttam Kumaran: Yeah, that that will. I think that’ll alleviate some stuff
128 00:15:20.120 ⇒ 00:15:22.830 Aakash Tandel: Okay, cool. That sounds good. I will
129 00:15:23.340 ⇒ 00:15:28.180 Uttam Kumaran: Or you just take one. Stand up and just tell everybody that this is what we’re doing today.
130 00:15:29.070 ⇒ 00:15:36.130 Aakash Tandel: True. Yeah, that might be. That might be an alternative to I’m gonna I feel like I may need to prep them a lot of
131 00:15:36.510 ⇒ 00:15:38.200 Aakash Tandel: or awaii
132 00:15:38.200 ⇒ 00:15:38.810 Uttam Kumaran: Yeah.
133 00:15:38.980 ⇒ 00:15:44.769 Aakash Tandel: A lot of or and away on
134 00:15:45.450 ⇒ 00:15:49.899 Aakash Tandel: walkthrough, of how we are building models
135 00:15:49.900 ⇒ 00:15:51.910 Uttam Kumaran: It. Yeah, it’s a
136 00:15:52.280 ⇒ 00:15:56.590 Uttam Kumaran: it’s worth for them to do this. I don’t want them to shy away from this, but I would also
137 00:15:56.830 ⇒ 00:16:01.739 Uttam Kumaran: just just save them if they if it’s like getting too tense
138 00:16:02.680 ⇒ 00:16:05.898 Aakash Tandel: Yeah, yep, yeah, I I definitely can play
139 00:16:07.030 ⇒ 00:16:07.910 Aakash Tandel: But
140 00:16:07.910 ⇒ 00:16:12.350 Uttam Kumaran: Part of this is like they should solve one or 2 problems, or at least like.
141 00:16:13.290 ⇒ 00:16:19.390 Uttam Kumaran: or at least explain. But I prop part of this is also Josh should see that this isn’t like
142 00:16:19.840 ⇒ 00:16:25.980 Uttam Kumaran: we’re not like, just like in a like a in a calculator. It’s like sophisticated technical work
143 00:16:28.220 ⇒ 00:16:33.760 Uttam Kumaran: that he. There’s no one on this team that could do something like this. So it’s just trying to build that empathy
144 00:16:38.660 ⇒ 00:16:39.230 Aakash Tandel: Yep.
145 00:16:40.473 ⇒ 00:16:46.829 Aakash Tandel: Cool. Okay. The other thing is some of these, like north beam connections.
146 00:16:47.120 ⇒ 00:17:01.270 Aakash Tandel: And like, we have an attentive and a klaviyo connection. Some of these are good, some of these are, and even like the Tiktok ones, like some of these are in progress or blocked and stuff. So there’s just a fair amount of work there, that’s
147 00:17:02.140 ⇒ 00:17:02.920 Aakash Tandel: you know.
148 00:17:03.150 ⇒ 00:17:09.979 Uttam Kumaran: The nice thing there is like. It’s actually very little work on our side to bring the data in it. Just it’s a we’re totally relying on the vendor
149 00:17:10.280 ⇒ 00:17:10.800 Aakash Tandel: Yeah.
150 00:17:11.186 ⇒ 00:17:15.050 Uttam Kumaran: And so part of this is picking the right shovel.
151 00:17:15.200 ⇒ 00:17:27.029 Uttam Kumaran: There, there will be a piece, though, for for Eden. I will. We. We need to get approval on basically like, okay, we’re good to just like sign, like the 5 K thing and start to ingest all their other data.
152 00:17:28.850 ⇒ 00:17:34.109 Uttam Kumaran: Right like to bring in. I know they asked for like the Zendesk thing wasn’t working.
153 00:17:34.280 ⇒ 00:17:37.124 Uttam Kumaran: There’s a few other things that aren’t working right.
154 00:17:39.320 ⇒ 00:17:43.720 Uttam Kumaran: so polytomic is a good partner as well like we have a direct line in slack for them.
155 00:17:43.960 ⇒ 00:17:48.210 Uttam Kumaran: and they they’re they’re really good. The the team there is really solid
156 00:17:50.738 ⇒ 00:17:52.629 Aakash Tandel: Cool. I think that’s like
157 00:17:53.940 ⇒ 00:17:56.230 Aakash Tandel: those are all the main things for
158 00:17:56.710 ⇒ 00:18:21.329 Aakash Tandel: Eden. There’s a lot of stuff that we were working on, that we kind of paused. And I’m gonna we have a meeting with Natasha 3 and some of the many projects he had us doing or or is in that. And I was basically pretty direct with him, like, Hey, look, this is something you guys had to figure out internally. And Josh can reallocate research to this is, but we’re not gonna do this while he doesn’t want us to do it. So that’s that’s why
159 00:18:21.330 ⇒ 00:18:22.080 Uttam Kumaran: Perfect.
160 00:18:22.640 ⇒ 00:18:25.310 Aakash Tandel: One. I 100% agree. Yeah.
161 00:18:25.860 ⇒ 00:18:30.730 Aakash Tandel: yeah, he’s definitely the the boss. He’s the he’s the head Honcho. So we gotta start something
162 00:18:30.730 ⇒ 00:18:41.820 Uttam Kumaran: Yeah. And they should. They should do that too. This is just like again, it’s what I said in the 1st meeting, where, like, we solve problems. So people are, of course, gonna come to us because nobody there can do can do that. But we want to get paid
163 00:18:42.300 ⇒ 00:18:42.950 Aakash Tandel: Yep.
164 00:18:43.090 ⇒ 00:19:02.080 Aakash Tandel: and I think the last thing on Eden I’ll say, is, I still feel like I know Josh is really involved at the moment. I don’t think he’s always going to be involved. I’m not sure who that second person in as like our main point of contact should be because Mattesh is pretty focused on just marketing stuff
165 00:19:02.608 ⇒ 00:19:05.889 Aakash Tandel: Nick G. Is nice, but he does not have the.
166 00:19:06.500 ⇒ 00:19:16.319 Aakash Tandel: He can’t call shots, so it’s it’s helpful to have him sometimes as a as a input, but not as like he. He can’t help us get move the ball forward in a lot of places
167 00:19:16.620 ⇒ 00:19:19.122 Uttam Kumaran: Yeah, I I think this is very
168 00:19:19.680 ⇒ 00:19:22.959 Uttam Kumaran: this is very similar to
169 00:19:24.060 ⇒ 00:19:28.959 Uttam Kumaran: what’s happening in pool parts is you need that you need them to probably nominate a product owner.
170 00:19:29.120 ⇒ 00:19:29.970 Uttam Kumaran: Yeah.
171 00:19:30.220 ⇒ 00:19:50.420 Uttam Kumaran: like, you need to tell Josh like this project is, it’s gonna be very hard for us to succeed without someone who can. Who can help us do that? If that’s not going to be you long term, you need to nominate someone to own that, whether it’s Mattesh on marketing, and then someone else on other things, sure, but like it can’t be like, there needs to be a lieutenant that he can trust.
172 00:19:51.070 ⇒ 00:19:52.529 Uttam Kumaran: Yeah, they need to nominate
173 00:19:53.840 ⇒ 00:19:59.959 Aakash Tandel: He definitely seems to have some either trust issues or it doesn’t actually have a reliable lieutenant. So he’s doing a lot
174 00:19:59.960 ⇒ 00:20:05.480 Uttam Kumaran: That’s that’s obvious. Yeah. Preach, you know.
175 00:20:05.730 ⇒ 00:20:12.149 Uttam Kumaran: But like, okay, like, you know, he’s paying 20 K, he’s you gotta do. You gotta be involved or something like
176 00:20:12.150 ⇒ 00:20:12.810 Aakash Tandel: Yeah.
177 00:20:12.960 ⇒ 00:20:17.559 Uttam Kumaran: It’s like we’re gonna we’re gonna fall failure to like their involvement if they don’t get involved.
178 00:20:17.730 ⇒ 00:20:32.320 Uttam Kumaran: you know. To give you the opposite example on ABC, these guys like want to be in everything they’re like, well, me as much as you want. And it’s going so smooth. Part of it is for that right? They’re like we’ll be in slack. We’ll we’ll meet. They want us to help us with their decks. They’re like we want to present this whole company.
179 00:20:32.480 ⇒ 00:20:34.770 Uttam Kumaran: It’s, of course, an attitude problem.
180 00:20:35.335 ⇒ 00:20:40.970 Uttam Kumaran: And so we’ll see, like I think I want us to. Now that you’re here, I think we can try a couple of other avenues
181 00:20:41.120 ⇒ 00:20:46.599 Uttam Kumaran: like I am. I always I don’t, although I think they do have some like abrasiveness.
182 00:20:46.880 ⇒ 00:20:55.169 Uttam Kumaran: I’ve worked with abrasive people like like execs like this before they will come around. If they don’t come around, then we can have another pro conversation.
183 00:20:55.310 ⇒ 00:21:02.609 Uttam Kumaran: I I just think, as an engineering leader for me. I wanna make sure that our people like don’t feel like it’s a hostile environment.
184 00:21:02.800 ⇒ 00:21:17.979 Uttam Kumaran: you know. So I I know that some of them. Sometimes it can be like that with that client. I really wanna my number one job is to protect our people from that like, I don’t want people to be going to that meeting like scared or or with fear. So this way, that’s that’s where like.
185 00:21:18.180 ⇒ 00:21:27.059 Uttam Kumaran: and I’m not saying that’s happening. But I to give you a sense like that’s really top of mind for me to not run a fear based like org. So
186 00:21:28.320 ⇒ 00:21:31.980 Uttam Kumaran: but I no, yeah, things that you’re things that things that you’re trying are are good
187 00:21:32.680 ⇒ 00:21:50.539 Aakash Tandel: Yeah. Yeah. And I think at this point, it’s like we haven’t fully delivered or we we’ve delivered stuff that’s good. But like, we haven’t done a good job of convincing him like these are like normal issues that you have with data from these sources. And so that’s like, there’s a lot of things that are wrong. That aren’t really our fault. But we haven’t, I guess, fully explained it to you.
188 00:21:50.540 ⇒ 00:21:52.080 Aakash Tandel: I agree, yeah.
189 00:21:52.360 ⇒ 00:21:57.619 Aakash Tandel: yeah. So yeah. So that’s a work in progress. But yeah, I don’t. I’m not too worried about it at the moment.
190 00:21:59.832 ⇒ 00:22:02.447 Aakash Tandel: Cool. Yeah. So for Javi.
191 00:22:03.220 ⇒ 00:22:09.999 Aakash Tandel: I think. With them. You saw the main thing and amber. I can share this with you, too, just for your
192 00:22:10.850 ⇒ 00:22:14.280 Aakash Tandel: learning stuff.
193 00:22:16.220 ⇒ 00:22:19.210 Aakash Tandel: I just shared a roadmap, and I can put the link here.
194 00:22:19.627 ⇒ 00:22:21.940 Aakash Tandel: That’s the main thing that we’re trying to get
195 00:22:22.210 ⇒ 00:22:32.370 Aakash Tandel: on the same page of, because Robert and Aman met last. I think it was. Might have been Wednesday and they went through a list of items that
196 00:22:32.870 ⇒ 00:22:43.279 Aakash Tandel: he basically wanted a level of effort. And how much time we’re gonna spend on it. And he slacked me a million messages last night, saying, Hey, this number’s off and stuff like that. So I’m just gonna meet with him on Monday.
197 00:22:43.746 ⇒ 00:22:47.123 Aakash Tandel: Robert, I’m not sure if Robert is joining or not. But
198 00:22:47.820 ⇒ 00:22:54.920 Aakash Tandel: Some of these things he was like, hey? This should take like 20 min, not 2 h, and a lot of it comes back to like, Hey, we can’t like
199 00:22:55.463 ⇒ 00:23:07.229 Aakash Tandel: we can’t operationalize a task for someone and just expect them to do this in 20 min. They have to actually get some context, and then a lot of the dashboarding work is just not gonna happen in in 2 h or
200 00:23:07.230 ⇒ 00:23:15.179 Uttam Kumaran: Yeah, I think it’s yeah. I agree. I think also, part of it is like, you know, we want. I think it would be great. If these types match.
201 00:23:15.450 ⇒ 00:23:20.209 Uttam Kumaran: like some of the the work types that
202 00:23:20.330 ⇒ 00:23:27.799 Uttam Kumaran: that we discussed which was like this is a dashboard development. This is analysis. This is a. This involves dashboarding and data modeling.
203 00:23:27.920 ⇒ 00:23:47.330 Uttam Kumaran: because I also want to share with them that a dashboard isn’t like done. We. We get a published. We then get an internal review, we get an external review. We go make changes. We? Then probably that’s probably the 1st opportunity for us to consider it done that’s like that’s like 3 that’s like 5 steps overall, like it’s not 2 h
204 00:23:48.216 ⇒ 00:23:50.540 Uttam Kumaran: and so like.
205 00:23:50.690 ⇒ 00:24:06.260 Uttam Kumaran: I think the biggest thing to share is that I we’re never going to underest. We’re we’re not in the in the market to underestimate and then take too much time. I always want to do the opposite right? Like we’ll estimate this. Our goal is to get this done faster like that’s
206 00:24:06.390 ⇒ 00:24:08.990 Uttam Kumaran: we want to take on more stuff for you. So
207 00:24:09.120 ⇒ 00:24:27.889 Uttam Kumaran: it’s that’s 1 piece and the second piece. Yeah, like, if if he’s arguing over like 1 h versus 3 h, like, I’m not willing to have that if it’s like 10 versus 20, sure, then maybe we have a misalignment on, like what it involves, which I think we did. And I I sent you a couple of messages, which is basically like, Yeah, this is a
208 00:24:28.150 ⇒ 00:24:33.679 Uttam Kumaran: this is like a nothing. But again, I I don’t. He may think he. This is where, like
209 00:24:33.930 ⇒ 00:24:46.039 Uttam Kumaran: as we start to take on customers where they don’t work directly with me or Robert, because me and Robert will just move. We’ll move super fast. But again we skip a lot of steps. And I want this to be like the time it would take any Brainforge engineer
210 00:24:46.140 ⇒ 00:24:53.490 Uttam Kumaran: to get this work done. And so, yeah, I mean, our goal is to do, take it on like this and to get it done in half. It’s always been that goal. So
211 00:24:53.920 ⇒ 00:24:56.884 Aakash Tandel: Yeah, yeah, definitely, yeah. So I’ll,
212 00:24:57.390 ⇒ 00:24:58.190 Uttam Kumaran: I think he’s
213 00:24:58.190 ⇒ 00:25:02.020 Uttam Kumaran: he’s reasonable. He’s so reasonable, you know. I think you’ve met him like, have you met him before?
214 00:25:02.020 ⇒ 00:25:03.180 Aakash Tandel: No, this will be the 1st time
215 00:25:03.180 ⇒ 00:25:08.298 Uttam Kumaran: Oh, he’s so reasonable! Oh, my gosh! Like you’ll I think you’ll be totally fine, I think.
216 00:25:09.120 ⇒ 00:25:26.319 Uttam Kumaran: yeah, it’s nothing like the Eden work. In fact, I think he’s actually really curious, which is why I’m trying to keep pushing the the light dash stuff because he wants it to work. And I think he’s invested. He just doesn’t have like ultimate control over everything. But he’s a great partner for us to vouch for us. And
217 00:25:26.796 ⇒ 00:25:30.829 Uttam Kumaran: I I want him to spend his time not thinking about like
218 00:25:30.980 ⇒ 00:25:36.839 Uttam Kumaran: estimates. And like, are these guys like screwing me, but more like looking at the output of our work.
219 00:25:37.425 ⇒ 00:25:45.540 Uttam Kumaran: You’ll find it to be a really really good partner. In fact, I think you should try to find a way to bring him into stand ups and make him the product owner
220 00:25:45.810 ⇒ 00:25:49.889 Aakash Tandel: Yeah, I’ve invited him to them. He hasn’t been able to join yet. But
221 00:25:50.388 ⇒ 00:25:53.969 Aakash Tandel: I’m also interested in turning his new data analyst. Vlad.
222 00:25:53.970 ⇒ 00:25:54.750 Uttam Kumaran: Yes.
223 00:25:54.750 ⇒ 00:25:55.190 Aakash Tandel: Into.
224 00:25:55.190 ⇒ 00:25:55.740 Uttam Kumaran: Yes.
225 00:25:55.740 ⇒ 00:25:59.520 Aakash Tandel: An evangelical or what do you call
226 00:25:59.520 ⇒ 00:26:05.808 Uttam Kumaran: If with with what’s his face where he’s like? Yes, you know, he’s nodding. That’s how I feel.
227 00:26:06.140 ⇒ 00:26:14.640 Aakash Tandel: So I right now I I talked about having that person work with Annie. I
228 00:26:15.220 ⇒ 00:26:27.669 Aakash Tandel: don’t know if Annie will be able to take all of that work on, just because I don’t know if she has all the contacts. So I’m gonna figure that out. I’m gonna spend some time just kind of making sure I have a good grasp on the stuff we’ve delivered for them, too, so that’ll be good
229 00:26:28.270 ⇒ 00:26:28.840 Uttam Kumaran: Okay.
230 00:26:29.673 ⇒ 00:26:36.386 Aakash Tandel: And then, yeah, I’ll make another ticket for you with them to do the core project documentation for
231 00:26:36.800 ⇒ 00:26:37.690 Uttam Kumaran: Yes, please.
232 00:26:37.690 ⇒ 00:26:38.400 Aakash Tandel: Me as well
233 00:26:39.600 ⇒ 00:26:41.219 Uttam Kumaran: Yes, please. Perfect.
234 00:26:41.740 ⇒ 00:26:59.519 Aakash Tandel: And yeah, I mean, everything else is going well. And I’m honestly, Javio, I’m trying to get him to take over a little bit of oasis work. But that’s a work in progress again, oasis like Superman, a lot of this stuff for Eden and Javi. So it’s like really hard to replace him at the moment. But we’re slowly getting there
235 00:26:59.760 ⇒ 00:27:23.910 Uttam Kumaran: Yeah, that’s fine. I mean, I I talked to a wish. And I I think he’s gonna start playing a bigger and bigger role. So that’s fine, like lean on them. I think the one thing I would stress and stand ups is that they should pair as much as possible. So if Kyle’s taking on something, one of the tendencies that Kyle has is to just try to like aim for perfect, where, like just enough would have been what it would do, so
236 00:27:23.910 ⇒ 00:27:24.420 Aakash Tandel: Yeah.
237 00:27:24.420 ⇒ 00:27:34.709 Uttam Kumaran: He’s benefiting a lot from pairing. I have him talking to Mike as well. I spend. I spend a little bit of time. I want him to spend time with a wish. I feel like he’s gonna pick. I think he’s gonna pick it up.
238 00:27:36.200 ⇒ 00:27:36.850 Aakash Tandel: Cool.
239 00:27:36.850 ⇒ 00:27:57.749 Uttam Kumaran: Like I I don’t wanna. I don’t want to consider it a lost cause. So keep pushing either. One thing is like set hard deadlines. Because at least you’ll be able to say you’ll at least have a point of conversation if if if you know, I mean, if stuff isn’t well defined. Then your update you’re gonna get is like, yeah, it’s like, almost there.
240 00:27:58.760 ⇒ 00:28:15.770 Uttam Kumaran: basically set a hard deadline. Get them to agree to it. And then when the day comes. If it comes, then it you you can have a conversation. Does this need to pass to someone else doesn’t need to escalate to like me or somebody? Or is this done like though we? That’s the thing. When I come into these meetings I go straight. I’m like.
241 00:28:15.910 ⇒ 00:28:18.403 Uttam Kumaran: What is it? Is this done? Where is this? And then
242 00:28:19.120 ⇒ 00:28:25.410 Uttam Kumaran: asking that so directly will get them to realize like, oh, actually like my long winded reply, here it doesn’t matter
243 00:28:25.600 ⇒ 00:28:28.030 Uttam Kumaran: is this done or not? Is what matters
244 00:28:28.450 ⇒ 00:28:48.640 Uttam Kumaran: and I want to get the engineers more in that zone. And exactly what you said, which is like taking the shit offline. That’s it, because everybody’s gonna elaborate. Just be like, go call whoever take it offline or wait until the end of the meeting. Think amber. Probably similar thing is like in the AI team. These guys, everybody. All the engineers have a tendency to do is to just like
245 00:28:48.750 ⇒ 00:29:01.659 Uttam Kumaran: start to zone in on whatever their their current task is. Totally. Just say kick it to the next meeting, because you guys need to get to the end of stand up and probably plan out a couple things on either end.
246 00:29:02.320 ⇒ 00:29:10.849 Aakash Tandel: You know, that is one thing I’m trying. I’m trying to push for a little bit like, Hey, stand up like a quick, quick update. And it’s like, not not a troubleshooting meeting. If that’s what
247 00:29:10.850 ⇒ 00:29:11.380 Uttam Kumaran: Totally.
248 00:29:11.770 ⇒ 00:29:13.469 Aakash Tandel: Have a meeting like that afterwards. Type of thing
249 00:29:13.470 ⇒ 00:29:15.010 Uttam Kumaran: Yes, yes.
250 00:29:15.190 ⇒ 00:29:21.430 Uttam Kumaran: that’s just like I don’t know how we can automate. That’s just something we’re gonna have to do forever like I don’t know, that’s just the job
251 00:29:21.940 ⇒ 00:29:26.389 Aakash Tandel: Yeah, cool. That’s it for Javi Needon
252 00:29:28.120 ⇒ 00:29:30.009 Aakash Tandel: amber. You wanna take it away for yours.
253 00:29:30.220 ⇒ 00:29:38.720 Amber Lin: I am taking notes that will be really helpful right now. Let me just go over right now. I have ABC
254 00:29:39.370 ⇒ 00:29:54.749 Amber Lin: and AI team. That kind of they’re separate, and then I have pool parts not happening and stack woods. So if not, let’s go from the easiest to hardest pool parts is not happening waiting for updates from Dan. Any updates from your side, utam
255 00:29:55.710 ⇒ 00:29:56.989 Uttam Kumaran: Nothing yet
256 00:29:56.990 ⇒ 00:29:57.680 Amber Lin: Okay.
257 00:29:57.680 ⇒ 00:29:59.370 Uttam Kumaran: I’ll send another note right now.
258 00:29:59.370 ⇒ 00:30:27.480 Amber Lin: I see. Okay, I’ll let you do that. So that’s full part. Stack list is pretty good. So right now we’re more acting at a as a consultant and less directly with data. So we’re supporting their internal data team to on board. So this week has been a lot of operations which is honestly thought, not that much work. We’ll see how this goes down the line, but we do estimate that time will go up. So there is essentially.
259 00:30:27.860 ⇒ 00:30:31.210 Amber Lin: how do we do more work? That’s for stack splits.
260 00:30:31.490 ⇒ 00:31:00.590 Amber Lin: and the next would be ABC, ABC is doing pretty well the main problem. We want to tackle next for the next week or sprint is time caps, I think. Akash, you introduce a very good concept of. I think we really need to cap, the time for the engineers and myself for ABC. Cause I check my time, and I think I’m spending more time to see it on ABC. So
261 00:31:01.180 ⇒ 00:31:07.619 Amber Lin: for for the engineers, it’ll be limiting the scope of their task. But for me.
262 00:31:08.560 ⇒ 00:31:11.840 Amber Lin: I need to cap my time as well.
263 00:31:12.350 ⇒ 00:31:14.469 Amber Lin: So let me just take a let me take a
264 00:31:14.470 ⇒ 00:31:18.149 Uttam Kumaran: I agree, like I think a a good way, too, is to batch it like
265 00:31:18.940 ⇒ 00:31:23.190 Uttam Kumaran: For ABC, like I don’t nest like I know you do daily stand ups but like
266 00:31:23.300 ⇒ 00:31:26.830 Uttam Kumaran: I wouldn’t promise things the next day like
267 00:31:27.270 ⇒ 00:31:33.240 Uttam Kumaran: like that’s that’s an example of like you can start to see that now all my deadlines are end of the month or end of the quarter
268 00:31:33.810 ⇒ 00:31:36.200 Uttam Kumaran: pushing things back. There’s no
269 00:31:36.610 ⇒ 00:31:52.790 Uttam Kumaran: there’s no need, for we could do it the next day, but then we would probably miss it. So I think the biggest thing is, don’t now start to promise things that are a few days out, and then start to push things towards the end of the week. That’s why, when even in your meeting structure. I think we want to start moving from
270 00:31:52.970 ⇒ 00:31:59.800 Uttam Kumaran: like we can have daily stand ups. But then we want at least once a week as like a bigger meeting, or like once every 2 weeks
271 00:32:00.120 ⇒ 00:32:10.970 Uttam Kumaran: that way you have like time to get things done, and even if you have a conversation on Monday, you know. It’s not due until Friday. The other piece is, if you don’t need daily stand ups after a while, don’t do them daily like
272 00:32:11.410 ⇒ 00:32:11.990 Amber Lin: Okay.
273 00:32:11.990 ⇒ 00:32:16.660 Uttam Kumaran: Monday, Wednesday, and then and then basically do an Async on Friday like.
274 00:32:16.770 ⇒ 00:32:18.700 Uttam Kumaran: think of those are all options
275 00:32:19.760 ⇒ 00:32:25.810 Amber Lin: Yeah, I’ve been yesterday. I’ve been trying to figure out all the meeting cadences for
276 00:32:25.950 ⇒ 00:32:37.150 Amber Lin: the various teams, and it’s like, I don’t think daily standups is manageable, so probably gonna change that. But
277 00:32:37.280 ⇒ 00:32:38.610 Amber Lin: you still need some work
278 00:32:38.610 ⇒ 00:32:49.989 Uttam Kumaran: I think you’re in a you’re in a pinch this next month because we’re trying to do the onboarding. So maybe for another 2 week. It’s still like, let’s talk every day. But I would probably suggest moving it to like Monday, Wednesday.
279 00:32:50.350 ⇒ 00:32:58.440 Uttam Kumaran: Friday, and then again, like we now have Friday, where we meet with the all the stakeholders.
280 00:32:58.680 ⇒ 00:33:02.969 Uttam Kumaran: We can even do that every 2 weeks, and then just do a data one and alternate it
281 00:33:03.120 ⇒ 00:33:05.910 Uttam Kumaran: like there’s opportunity. But this is where it
282 00:33:06.020 ⇒ 00:33:14.989 Uttam Kumaran: we’re gonna we need to move away from doing everything tomorrow to like. Okay, we’ll get it by Friday, like you’ll find that the the client doesn’t really care
283 00:33:15.280 ⇒ 00:33:19.089 Uttam Kumaran: like they just want to know when it’s that it’s gonna be done on time.
284 00:33:19.750 ⇒ 00:33:30.320 Uttam Kumaran: So, yeah, I think, like our tendency again, this is my tendency to be like, let’s just like, Oh, it takes 5 min. But then everything takes 5 min, and I want us working on our internal stuff, like.
285 00:33:30.720 ⇒ 00:33:35.729 Uttam Kumaran: you know, a ton of time on the internal stuff. And then I want us to go get another. AI AI! Client
286 00:33:38.520 ⇒ 00:33:41.220 Amber Lin: Okay, let me know that down.
287 00:33:50.310 ⇒ 00:33:53.730 Amber Lin: yeah, that cause. ABC, it seems like there’s gonna be a lot
288 00:33:54.070 ⇒ 00:34:00.509 Amber Lin: at least, another meeting for the data parts that’s coming up. So I think that will have to replace
289 00:34:00.950 ⇒ 00:34:05.670 Amber Lin: like, maybe that’s once a week like alternate that between sprint planning
290 00:34:05.670 ⇒ 00:34:12.440 Uttam Kumaran: I wonder if you do? Yeah. I wonder if you do? Like we have our Friday meetings. I wonder if we do?
291 00:34:13.010 ⇒ 00:34:14.649 Uttam Kumaran: We spend the like
292 00:34:15.540 ⇒ 00:34:22.840 Uttam Kumaran: you do once every 2 weeks on data, or what you do is like, one of the standups is purely focused on data
293 00:34:22.840 ⇒ 00:34:25.069 Amber Lin: That’s what I that’s what I thought. Yeah.
294 00:34:25.969 ⇒ 00:34:29.150 Uttam Kumaran: But I would. Yeah, I would quickly try to
295 00:34:29.603 ⇒ 00:34:30.489 Amber Lin: Take it.
296 00:34:30.489 ⇒ 00:34:34.389 Uttam Kumaran: Advantage of how good the project is going by, like starting to get some breathing room
297 00:34:34.969 ⇒ 00:34:36.179 Amber Lin: Hmm, okay.
298 00:34:37.600 ⇒ 00:34:42.710 Uttam Kumaran: Just make it clear with everyone what the schedules are. So that we’re not changing it all the time.
299 00:34:42.719 ⇒ 00:34:45.559 Amber Lin: Yeah. So I want, I want to plan that
300 00:34:46.049 ⇒ 00:34:48.859 Amber Lin: this week. So we can have it for next week.
301 00:34:49.269 ⇒ 00:34:53.429 Amber Lin: What? This actual oops? Okay.
302 00:34:53.809 ⇒ 00:35:15.769 Amber Lin: yeah, that’s ABC for the internal AI part. Got the ball rolling. I got the got the goals focus areas action plan. That’s an action. Hoping. The only thing is that I’m hoping the data team and operation teams fills that out so that we’re meeting with them.
303 00:35:15.770 ⇒ 00:35:20.140 Uttam Kumaran: Yeah, I. If if I want the like, the reason why I want to meet with them is
304 00:35:20.290 ⇒ 00:35:26.679 Uttam Kumaran: I they need to be bought in. Ultimately I have the answers for you like I, at least for the 1st
305 00:35:26.970 ⇒ 00:35:33.269 Uttam Kumaran: few months of work. I know what needs to get automated, but they are gonna be. I want them to be like this is working
306 00:35:33.650 ⇒ 00:35:37.340 Uttam Kumaran: so they may not have the solutions, but they do have the problems
307 00:35:37.340 ⇒ 00:35:38.620 Amber Lin: Yeah. Yeah. Totally.
308 00:35:38.620 ⇒ 00:35:54.350 Uttam Kumaran: So I would say, it’s probably less about the AI education, more. Just say like, spit it out like, what’s the problem? I would say, you’re probably see from Nico. And and if and if and some people like Marianne, they may say, like, Yeah, but we can do this with. So I just, I would say, like, Don’t worry about how we solve it.
309 00:35:54.530 ⇒ 00:35:59.079 Uttam Kumaran: You just spell out how what it is. Who’s involved, how much time it takes.
310 00:35:59.450 ⇒ 00:36:05.430 Uttam Kumaran: If you can collect especially the level of effort who’s involved, it’ll help us to prioritize the really really difficult things
311 00:36:05.430 ⇒ 00:36:05.780 Amber Lin: Oh!
312 00:36:05.960 ⇒ 00:36:14.100 Uttam Kumaran: There’s also gonna be stuff that nobody ever thinks we could do like the like. Basically a slack bot that has access to all of our clients info.
313 00:36:14.210 ⇒ 00:36:31.549 Uttam Kumaran: that hits like 5 problems. Right? So what we’re gonna do is match solutions to the problems. There’s probably like some Mckinsey framework that we could do this whole thing with. But basically, I want to just get a list of all the problems. I then wanna see our ideas and basically match them like, does this problem solve this problem? And then that’s it.
314 00:36:31.550 ⇒ 00:36:50.339 Amber Lin: Yeah, that’s why I structured the questionnaire as in in the bottom they have. I have a few prompts for them, because they probably don’t know what I can do with several chat bots, so a few suggestions to get their mind going. But the main part of what what I wanted them to fill out is their pain points, process and processes
315 00:36:50.800 ⇒ 00:36:51.179 Uttam Kumaran: Go ahead!
316 00:36:51.180 ⇒ 00:36:52.166 Amber Lin: Thank you.
317 00:36:54.130 ⇒ 00:37:02.440 Amber Lin: Do you want me to also send the questionnaires to other teams, or is it not that much of a priority right now?
318 00:37:02.440 ⇒ 00:37:04.650 Uttam Kumaran: No, yeah, I wouldn’t. I wouldn’t do for other
319 00:37:04.650 ⇒ 00:37:09.550 Amber Lin: Okay, sounds good. You’re not gonna do work for that, anyway. So we’ll just focus on the 2
320 00:37:09.550 ⇒ 00:37:17.040 Uttam Kumaran: Yeah. And I, you’ll find that as we get wins with these guys, other teams will naturally like, come up with the ideas themselves. Yeah. So
321 00:37:17.650 ⇒ 00:37:21.640 Amber Lin: Okay, sounds good of.
322 00:37:22.130 ⇒ 00:37:30.690 Amber Lin: So on my side, Akash, I’m sorry I still need to send time allocation part to the to the slack Channel 7
323 00:37:31.040 ⇒ 00:37:35.600 Amber Lin: occupied with client teams and different teams. So I will send that now
324 00:37:36.210 ⇒ 00:37:37.699 Aakash Tandel: Okay. Cool. Yeah. No worries.
325 00:37:37.700 ⇒ 00:37:39.839 Amber Lin: That’s all. All from my side
326 00:37:40.900 ⇒ 00:37:58.870 Aakash Tandel: Sweet. Yeah, I didn’t get too many questions or too many concerns about that. So I’m hope hopefully, that means everyone’s on board, and silence means that it’s good and sounds doesn’t mean that they just completely ignored the message. But we might, we’ll probably have to talk about allocation with the team members weekly just to be like, Hey.
327 00:37:59.380 ⇒ 00:38:04.590 Aakash Tandel: you know, just this is what we kind of haven’t projected that type of thing. So cool
328 00:38:04.590 ⇒ 00:38:05.510 Amber Lin: That’s good.
329 00:38:05.510 ⇒ 00:38:08.694 Uttam Kumaran: And then, are you guys doing so? Are you guys doing like
330 00:38:09.660 ⇒ 00:38:12.910 Uttam Kumaran: sprint planning? And then like, are you guys moving to 2 weeks
331 00:38:13.030 ⇒ 00:38:15.169 Uttam Kumaran: like, what’s the plan for Monday?
332 00:38:15.878 ⇒ 00:38:25.960 Amber Lin: Trying to move to 2 weeks trying to figure out a schedule to stagger them. But let’s see next for me next
333 00:38:26.790 ⇒ 00:38:29.980 Amber Lin: actually Akash, you go ahead. I need to pull up my calendar
334 00:38:30.270 ⇒ 00:38:43.515 Aakash Tandel: Sure my my thing for Javi is, I’m gonna wait till I meet up with Aman to talk about what we want to do and then do sprint planning from there, because I need to make sure that we’re working on the stuff he wants us to work on.
335 00:38:43.790 ⇒ 00:39:06.220 Aakash Tandel: and then I’ll meet with the team to talk about like, you know, steps and stuff like that. And then for Eden I want to kind of get the same idea of like roadmap from Josh, because I still don’t know what he doesn’t want us to work on exactly. I just know he doesn’t want us to work on certain things. So once I have the direction from the client on roadmap, then I’ll move to sprint planning with the team
336 00:39:07.450 ⇒ 00:39:08.310 Uttam Kumaran: Okay. Great.
337 00:39:08.310 ⇒ 00:39:14.190 Aakash Tandel: And I have. Oh, I forgot to tell you this. I took Monday and Tuesday off from Willow Tree, so I’ll be doing full time brain forge work
338 00:39:14.190 ⇒ 00:39:15.210 Uttam Kumaran: Yeah.
339 00:39:15.210 ⇒ 00:39:16.290 Amber Lin: Yay!
340 00:39:16.290 ⇒ 00:39:18.426 Aakash Tandel: I figured I need to burn through some Pto. Anyway.
341 00:39:18.948 ⇒ 00:39:24.510 Uttam Kumaran: Okay, cool, perfect. And then, yeah, I I sort of want to also get on like a grooming
342 00:39:24.760 ⇒ 00:39:28.559 Uttam Kumaran: schedule. You know, at least with with
343 00:39:28.780 ⇒ 00:39:45.619 Uttam Kumaran: me, and then with me and Miguel on the AI. Side, where I can start to help. And then what I’m gonna do is I’ll attend grooming, and then as soon as I get someone on the data side that you know either way, sure, Demote, I’ll I’ll nominate one of them to start to help with grooming.
344 00:39:45.740 ⇒ 00:39:48.939 Uttam Kumaran: but that would be great to spend some time.
345 00:39:50.860 ⇒ 00:39:53.399 Uttam Kumaran: That’d be great to spend some time doing that next week.
346 00:39:55.070 ⇒ 00:39:58.040 Amber Lin: Grooming is separate from stand ups right? So
347 00:39:58.040 ⇒ 00:39:59.949 Uttam Kumaran: Yeah. So, grooming is like, we just
348 00:40:00.390 ⇒ 00:40:09.080 Uttam Kumaran: But basically, before the next cycle starts. But ideally, this would be Wednesday. If you’re like cycle is gonna start on after the 4.th
349 00:40:09.200 ⇒ 00:40:13.439 Uttam Kumaran: Then we would meet and just basically make sure that everything is ready for the cycle.
350 00:40:13.640 ⇒ 00:40:24.250 Uttam Kumaran: So when you go into planning, nobody is like, what is this ticket things like that. It’s super super clear. And you basically can determine like, okay, our cycle is like 90% there.
351 00:40:24.430 ⇒ 00:40:29.410 Uttam Kumaran: all we need to focus on is like if people are like good with what what’s being worked on
352 00:40:32.840 ⇒ 00:40:40.159 Uttam Kumaran: It’s like, then don’t. It’s like probably the last ritual beyond just doing also just starting to do retros and things like that.
353 00:40:40.330 ⇒ 00:40:45.380 Amber Lin: Yeah, okay, sounds good.
354 00:40:45.660 ⇒ 00:40:49.610 Amber Lin: So I think on my end. Next week
355 00:40:50.707 ⇒ 00:40:54.999 Amber Lin: next week the sprint planning for the AI team
356 00:40:55.330 ⇒ 00:41:01.430 Amber Lin: is there and then sprint planning for Stack Blitz.
357 00:41:02.160 ⇒ 00:41:09.029 Amber Lin: It’s on. It’s on sorry AI team sprint planning on Tuesday staff with sprint planning on Wednesday.
358 00:41:09.480 ⇒ 00:41:21.259 Amber Lin: And maybe ABC groom, ABC. Grooming probably on Wednesday as well, or maybe Thursday.
359 00:41:22.500 ⇒ 00:41:26.840 Amber Lin: That’s how next week looks like, for now
360 00:41:26.840 ⇒ 00:41:29.610 Uttam Kumaran: Need an probably need an hour each client
361 00:41:30.000 ⇒ 00:41:35.779 Uttam Kumaran: I would suggest. And then, yeah, you can put out whatever my schedule is basically up to date. In fact, I probably will just
362 00:41:36.290 ⇒ 00:41:39.239 Uttam Kumaran: probably it was actually looking pretty decent.
363 00:41:39.580 ⇒ 00:41:40.060 Uttam Kumaran: So
364 00:41:41.790 ⇒ 00:41:43.179 Amber Lin: Sounds good
365 00:41:44.610 ⇒ 00:41:45.160 Aakash Tandel: Cool.
366 00:41:45.690 ⇒ 00:41:48.899 Amber Lin: Yeah. Your schedule cleared up a lot. I saw that
367 00:41:49.450 ⇒ 00:41:51.269 Uttam Kumaran: I’m still working hard, believe me.
368 00:41:51.270 ⇒ 00:41:53.570 Amber Lin: I know. I know it’s just you. Can. You have
369 00:41:53.860 ⇒ 00:41:59.369 Uttam Kumaran: I’ll have to go to. I have to go to some like, do some networking stuff next week, and
370 00:41:59.660 ⇒ 00:42:00.630 Amber Lin: Oh!
371 00:42:00.630 ⇒ 00:42:04.170 Uttam Kumaran: I’ll be in San Francisco actually, the following, this next weekend
372 00:42:04.170 ⇒ 00:42:07.069 Amber Lin: Oh, wow! And then
373 00:42:07.070 ⇒ 00:42:11.850 Uttam Kumaran: Plan will be in la, and then, yeah, it’d be good
374 00:42:13.640 ⇒ 00:42:14.530 Amber Lin: Great
375 00:42:15.960 ⇒ 00:42:16.500 Uttam Kumaran: Okay.
376 00:42:16.500 ⇒ 00:42:18.010 Amber Lin: Okay. Cool.
377 00:42:18.010 ⇒ 00:42:19.820 Aakash Tandel: Let me know if you guys need anything from my end
378 00:42:20.020 ⇒ 00:42:21.369 Uttam Kumaran: Okay, appreciate it.
379 00:42:21.890 ⇒ 00:42:22.560 Amber Lin: Bye.
380 00:42:23.150 ⇒ 00:42:23.640 Aakash Tandel: Yeah, bye.