Meeting Title: AI | Backlog Grooming Date: 2025-03-31 Meeting participants: Uttam Kumaran, Amber Lin, Miguel De Veyra
WEBVTT
1 00:00:17.960 ⇒ 00:00:19.540 Amber Lin: Hello!
2 00:00:23.330 ⇒ 00:00:24.899 Miguel de Veyra: Hey? Amber? Good morning.
3 00:00:28.780 ⇒ 00:00:33.689 Amber Lin: We were just in the meeting, so he should be aware
4 00:00:35.275 ⇒ 00:00:35.700 Miguel de Veyra: Yeah.
5 00:01:37.200 ⇒ 00:01:37.980 Amber Lin: Hmm.
6 00:05:35.540 ⇒ 00:05:36.430 Miguel de Veyra: Hey? You? Too.
7 00:05:37.860 ⇒ 00:05:39.490 Amber Lin: Hello!
8 00:05:45.420 ⇒ 00:05:46.560 Uttam Kumaran: Hey, guys, can you hear me?
9 00:05:46.770 ⇒ 00:05:47.280 Miguel de Veyra: Yep.
10 00:05:47.800 ⇒ 00:05:50.710 Uttam Kumaran: Okay, cool, all right.
11 00:05:54.010 ⇒ 00:05:55.500 Uttam Kumaran: How do you want to run this
12 00:05:57.950 ⇒ 00:06:03.249 Amber Lin: Let’s look at. Let’s start looking at the goals document
13 00:06:03.570 ⇒ 00:06:07.299 Amber Lin: to just make sure we have everything aligned, and then let’s talk about
14 00:06:07.995 ⇒ 00:06:19.609 Amber Lin: the things we want to do. First, st I know today we’re doing Amazon and aws, s 3. But that’s just setting the foundations. I know we already have a few ideas of projects we want to run.
15 00:06:20.390 ⇒ 00:06:24.680 Amber Lin: So let’s see, I mean today, probably just backlog
16 00:06:24.960 ⇒ 00:06:34.139 Amber Lin: putting things in tomorrow. I know we have another meeting, so we’ll make these more detailed plans tomorrow. I don’t think an hour is enough for both of them.
17 00:06:34.270 ⇒ 00:06:41.950 Amber Lin: So let me pull up our AI goals program
18 00:06:45.670 ⇒ 00:06:46.330 Amber Lin: 8.
19 00:06:48.560 ⇒ 00:06:53.479 Amber Lin: I will send that in our chat, and then I will also share my screen.
20 00:07:07.600 ⇒ 00:07:11.430 Amber Lin: Okay, let’s go over this
21 00:07:14.900 ⇒ 00:07:18.559 Uttam Kumaran: Cool, I mean I already. I left some comments
22 00:07:18.560 ⇒ 00:07:19.220 Amber Lin: Oh, yeah.
23 00:07:19.220 ⇒ 00:07:21.419 Uttam Kumaran: I haven’t gone through the short term
24 00:07:21.650 ⇒ 00:07:25.099 Uttam Kumaran: or long term vision. But like, can we just go through
25 00:07:25.210 ⇒ 00:07:29.659 Uttam Kumaran: that? That’s the only comment the I only had. My one comment is that.
26 00:07:30.340 ⇒ 00:07:37.600 Uttam Kumaran: like, currently, most people in the company are not even using chat Gpt, so as Internet.
27 00:07:37.600 ⇒ 00:07:45.259 Uttam Kumaran: like an AI team like, you know, that should be like one of the core things is just like
28 00:07:45.470 ⇒ 00:07:50.269 Uttam Kumaran: education, like, how do we get people to think about using AI
29 00:07:51.160 ⇒ 00:07:54.579 Uttam Kumaran: because we’re only gonna be able to solve the problems we see.
30 00:07:54.890 ⇒ 00:08:01.570 Uttam Kumaran: But how do we like in order to solve the problems we don’t see? We want people to be able to fish themselves.
31 00:08:01.900 ⇒ 00:08:06.009 Uttam Kumaran: So I think, like this is even higher, like
32 00:08:06.370 ⇒ 00:08:11.879 Uttam Kumaran: by getting everyone just to learn chat, gpt use cursor. We’re gonna see like so much benefit.
33 00:08:11.980 ⇒ 00:08:14.680 Uttam Kumaran: So I want to make sure that that’s on this list
34 00:08:18.646 ⇒ 00:08:22.680 Amber Lin: Yeah. So let’s get that also. In the short term goals
35 00:08:41.820 ⇒ 00:08:44.136 Uttam Kumaran: And then another sort of
36 00:08:45.690 ⇒ 00:08:53.520 Uttam Kumaran: another sort of challenge or problem right now is like we, there’s no measurement of whether people are using AI or not.
37 00:08:54.330 ⇒ 00:08:55.350 Uttam Kumaran: Right? So
38 00:08:55.770 ⇒ 00:09:10.300 Uttam Kumaran: one of the things for this that could be a problem here, but also as part of the goals is like, this, team needs to, really. And I’m you know, again, we’re we’re doing this across every team is this team clearly needs to be able to measure their impact
39 00:09:10.560 ⇒ 00:09:15.680 Amber Lin: Whether you know and and what. And so there has to be some sort of key measurement plan
40 00:09:15.900 ⇒ 00:09:22.260 Uttam Kumaran: About how we’re gonna know whether we’re accomplishing these goals right like each of these goals.
41 00:09:25.450 ⇒ 00:09:27.220 Uttam Kumaran: Like, I would say, these
42 00:09:28.980 ⇒ 00:09:34.950 Uttam Kumaran: these 3, like, they all all like, basically, everything here needs to be measurable is what I’m saying.
43 00:09:36.930 ⇒ 00:09:38.650 Uttam Kumaran: So for some of these.
44 00:09:39.040 ⇒ 00:09:42.010 Uttam Kumaran: okay, like, define a socialized team charter that
45 00:09:42.110 ⇒ 00:09:45.460 Uttam Kumaran: that makes that makes sense, establish ownership model.
46 00:09:46.290 ⇒ 00:09:51.620 Uttam Kumaran: make one or 2 use cases real educate. So even this is like, how would we consider this done
47 00:09:54.180 ⇒ 00:09:57.079 Uttam Kumaran: like educating company about AI usage like
48 00:09:58.710 ⇒ 00:10:01.529 Uttam Kumaran: what is the except? What is the acceptance criteria?
49 00:10:02.650 ⇒ 00:10:05.550 Amber Lin: Okay, the same with all the tickets. Great
50 00:10:06.030 ⇒ 00:10:10.859 Uttam Kumaran: Yeah, like, this is the thing with, this is what happens with company goals. Is that
51 00:10:11.930 ⇒ 00:10:19.050 Uttam Kumaran: like, just like we do tickets, and we require everything to be measurable. We need to have the same standards here. So
52 00:10:19.540 ⇒ 00:10:21.339 Uttam Kumaran: I want to know that, like
53 00:10:21.510 ⇒ 00:10:24.800 Uttam Kumaran: we wanna be able to tick each of these off right as we go
54 00:10:24.800 ⇒ 00:10:25.370 Amber Lin: Hmm.
55 00:10:25.370 ⇒ 00:10:26.370 Uttam Kumaran: And
56 00:10:26.964 ⇒ 00:10:42.060 Uttam Kumaran: I definitely want to know, like, okay, how like, how do when we say, Educate the company like, how would we know people are educated like, are we gonna met like? And what are the things like? Are we gonna measure that everybody’s using chat gpt every week? Are we measuring that people are using the agents
57 00:10:42.160 ⇒ 00:10:47.820 Uttam Kumaran: right like. So there’s probably something here that needs to be done on on a
58 00:10:48.020 ⇒ 00:10:52.119 Uttam Kumaran: establish a measurement plan, establish and approve a measurement plan
59 00:10:52.340 ⇒ 00:10:55.949 Uttam Kumaran: across the board. That can probably be done short term, which is, yeah.
60 00:10:56.490 ⇒ 00:11:00.119 Uttam Kumaran: something like this, the established metrics and measurement plan.
61 00:11:05.232 ⇒ 00:11:10.519 Uttam Kumaran: I mean, I, yeah, those that’s my feedback. I guess anything else from you guys
62 00:11:14.190 ⇒ 00:11:19.679 Miguel de Veyra: Yeah, I mean, even up until today, I was using, you know, my own personal Gpd.
63 00:11:19.870 ⇒ 00:11:25.490 Miguel de Veyra: so I think we should start there, start small, and then, after that, bring
64 00:11:26.120 ⇒ 00:11:31.710 Miguel de Veyra: bring people into cursor. I’m not sure if everyone on the data team is using cursor. I know everyone on the AI team is
65 00:11:34.209 ⇒ 00:11:41.450 Miguel de Veyra: and then but yeah, I agree on, how do we measure, for example, how many, you know
66 00:11:42.350 ⇒ 00:11:45.199 Miguel de Veyra: if people are using cursor or Gpt
67 00:11:46.890 ⇒ 00:11:51.279 Uttam Kumaran: Yeah, I mean, all, all of those have analytics. So you can pull all the analytics
68 00:11:51.280 ⇒ 00:11:51.850 Miguel de Veyra: Yeah.
69 00:11:51.850 ⇒ 00:11:55.480 Uttam Kumaran: So this is what I’m saying is like we. I want to go one step further here, like
70 00:11:56.090 ⇒ 00:12:02.959 Uttam Kumaran: these are all great, but like this should these should all take like we could probably do this all in like 2 h. The 3, if the 3 of us spend time
71 00:12:03.370 ⇒ 00:12:04.660 Amber Lin: So.
72 00:12:06.410 ⇒ 00:12:15.519 Uttam Kumaran: I guess what I what I’m saying is like, what else in the next 6? If this this, if this is all, gonna take 6 weeks. That’s a lot that’s like too little
73 00:12:15.790 ⇒ 00:12:16.530 Miguel de Veyra: Yeah, yeah.
74 00:12:17.040 ⇒ 00:12:17.590 Uttam Kumaran: You know what I mean?
75 00:12:17.890 ⇒ 00:12:22.879 Amber Lin: Link making these use cases is the part that’s going to take time.
76 00:12:22.980 ⇒ 00:12:25.339 Amber Lin: The other stuff is more preparation
77 00:12:28.100 ⇒ 00:12:29.110 Uttam Kumaran: I agree.
78 00:12:29.450 ⇒ 00:12:41.500 Amber Lin: Yeah. So let’s talk about what we want to focus now. So we’ll make a segment to that. I know, Utami said. We’re gonna focus more on sales and ops, right? So it’s gonna be data sales. And then
79 00:12:42.430 ⇒ 00:12:49.190 Uttam Kumaran: Yeah, I would just remove Ops, like, let’s not do Ops at all. Because I I wanna just slim. I wanna make sure we can hit the goals
80 00:12:49.936 ⇒ 00:12:58.000 Uttam Kumaran: and not over extend so definitely data and sales Ops. You could delete that meeting, or or still do the meeting, or whatever, but
81 00:12:58.100 ⇒ 00:13:00.420 Uttam Kumaran: less concerned about Ops. Right now.
82 00:13:00.420 ⇒ 00:13:01.160 Amber Lin: Okay.
83 00:13:01.475 ⇒ 00:13:04.949 Uttam Kumaran: I just like thought a lot about it over the weekend.
84 00:13:05.880 ⇒ 00:13:12.539 Uttam Kumaran: The reason being is, data is, our number one cost center sales is our number one revenue generation source.
85 00:13:12.780 ⇒ 00:13:20.780 Uttam Kumaran: And so that’s where automation is gonna go to effect. I want to prioritize by the biggest opportunity.
86 00:13:22.470 ⇒ 00:13:24.370 Uttam Kumaran: Not by the biggest need.
87 00:13:24.790 ⇒ 00:13:33.839 Uttam Kumaran: And those 2 can be separate like people can be yelling in one area but solving. But even though they’re not yelling in data, it’s because they don’t know that they are diseased.
88 00:13:34.030 ⇒ 00:13:39.490 Uttam Kumaran: You know what I mean, like the folks here don’t know what cursor can do for them.
89 00:13:40.270 ⇒ 00:13:47.639 Uttam Kumaran: The operations people are. They’re they’re using AI and stuff. So they, of course, their feedback is gonna be like, we need more.
90 00:13:48.053 ⇒ 00:13:51.700 Uttam Kumaran: But operations is such a low cost center for us that like
91 00:13:51.970 ⇒ 00:13:59.730 Amber Lin: I don’t really care much about getting it even lower at this point relative to this relative to how important data is
92 00:14:02.290 ⇒ 00:14:15.700 Uttam Kumaran: So I would suggest both of those as like. So one, both of those you we definitely need to run that like requirements, exercise and establish point of contact like, establish a product owner. There, that’s not me.
93 00:14:18.220 ⇒ 00:14:18.920 Miguel de Veyra: Okay.
94 00:14:19.880 ⇒ 00:14:20.810 Uttam Kumaran: So
95 00:14:21.310 ⇒ 00:14:26.190 Uttam Kumaran: that. So that’s the that’s the 2 things. So you need to understand, like, who’s the product owner. And how do you?
96 00:14:26.350 ⇒ 00:14:37.310 Uttam Kumaran: How do you turn them into like great product owners like? How do you get them to establish backlog? Come to some sort of stand up, give their 2 cents on tickets review stuff.
97 00:14:37.740 ⇒ 00:14:41.599 Uttam Kumaran: So that’s the biggest thing is like establishing those teams
98 00:14:41.750 ⇒ 00:14:45.129 Uttam Kumaran: like who on the data side is gonna be your partner
99 00:14:46.432 ⇒ 00:14:47.720 Miguel de Veyra: Can it be Annie?
100 00:14:48.780 ⇒ 00:14:51.489 Miguel de Veyra: She’s gonna she’s gonna be on our team anyways, right
101 00:14:51.490 ⇒ 00:14:53.939 Amber Lin: I don’t think she’s experienced enough
102 00:14:54.510 ⇒ 00:14:55.039 Uttam Kumaran: Let’s do you?
103 00:14:55.040 ⇒ 00:14:57.140 Uttam Kumaran: Yeah, it needs to be either
104 00:14:57.350 ⇒ 00:14:57.850 Miguel de Veyra: Okay.
105 00:14:59.806 ⇒ 00:15:01.399 Amber Lin: Or weish
106 00:15:01.400 ⇒ 00:15:02.530 Miguel de Veyra: Yeah, yeah, I’ll be short.
107 00:15:02.530 ⇒ 00:15:03.150 Amber Lin: Yeah.
108 00:15:03.400 ⇒ 00:15:05.150 Uttam Kumaran: Yeah, it needs to be, there’s, yeah.
109 00:15:05.150 ⇒ 00:15:12.729 Amber Lin: I’ll cancel that and see when Robert can meet. I know we have a sales office hours. I assume he has some time on Tuesdays as well
110 00:15:13.160 ⇒ 00:15:19.950 Uttam Kumaran: Yeah, he I mean, there’s a hot chance. He just won’t respond. And so there’s a hot chance. We’ll just do it in that meeting, if anything.
111 00:15:20.220 ⇒ 00:15:20.750 Uttam Kumaran: Oh, cool.
112 00:15:20.750 ⇒ 00:15:25.430 Uttam Kumaran: just keep pinging him. I told him I called. We talked yesterday. I told him. This is on the agenda
113 00:15:31.170 ⇒ 00:15:31.640 Amber Lin: Right.
114 00:15:31.640 ⇒ 00:15:36.861 Uttam Kumaran: So then I guess my my point is like complete discovery with all internal teams.
115 00:15:37.210 ⇒ 00:15:38.580 Amber Lin: I think that’s
116 00:15:38.580 ⇒ 00:15:39.650 Uttam Kumaran: Fine.
117 00:15:40.650 ⇒ 00:15:42.370 Uttam Kumaran: I think this fine.
118 00:15:44.060 ⇒ 00:15:48.230 Uttam Kumaran: I guess this I’m I’m not, I would say, like before
119 00:15:48.230 ⇒ 00:15:48.709 Amber Lin: I don’t know
120 00:15:48.710 ⇒ 00:15:50.170 Uttam Kumaran: Any work? Yeah.
121 00:15:50.170 ⇒ 00:15:50.880 Amber Lin: Oh!
122 00:15:51.170 ⇒ 00:15:54.510 Uttam Kumaran: I would love to to see the outcomes of these
123 00:15:56.452 ⇒ 00:16:02.040 Amber Lin: I think all in internal teams. We should just change that to data and sales.
124 00:16:02.140 ⇒ 00:16:05.669 Amber Lin: So we don’t divert our efforts. If we’re not going to do anything for them.
125 00:16:05.980 ⇒ 00:16:12.010 Uttam Kumaran: Yeah. And like, I mean, this is where it’s like, you guys can do discovery, but doesn’t mean you take action on anything
126 00:16:12.010 ⇒ 00:16:12.700 Miguel de Veyra: Yeah, yeah.
127 00:16:12.700 ⇒ 00:16:18.700 Uttam Kumaran: Right? So we we have, we have what we have, the, we have. Pm, we have data
128 00:16:18.830 ⇒ 00:16:24.399 Uttam Kumaran: we have, you know, like, probably what 5 or 6 teams
129 00:16:25.110 ⇒ 00:16:25.440 Amber Lin: Yeah.
130 00:16:25.440 ⇒ 00:16:33.370 Uttam Kumaran: You can run discovery on those if you want, but I guess my priority is getting something out for these 2 teams like here in the next few weeks. So that’s fine.
131 00:16:33.370 ⇒ 00:16:33.930 Amber Lin: Totally.
132 00:16:33.930 ⇒ 00:16:35.480 Miguel de Veyra: In how many weeks.
133 00:16:36.870 ⇒ 00:16:41.899 Uttam Kumaran: I mean I for me. This is, it’s sort of up to you guys to tell me what’s possible.
134 00:16:42.390 ⇒ 00:16:48.840 Uttam Kumaran: I’m not like I’m for me. The due date is tomorrow. Right? So I’m I’m not going to
135 00:16:49.360 ⇒ 00:16:54.150 Uttam Kumaran: like. It’s up to. So this is where again we’re the 3 where the 3 headed
136 00:16:54.300 ⇒ 00:17:00.370 Uttam Kumaran: drag in here right for me. I if you consider me the product owner.
137 00:17:01.080 ⇒ 00:17:05.710 Uttam Kumaran: then it’s up to you and Amber to sort of give me the due dates
138 00:17:06.089 ⇒ 00:17:08.429 Amber Lin: Right, and I’ll tell you whether it’s
139 00:17:08.550 ⇒ 00:17:11.290 Uttam Kumaran: Whether whether it’ll work for for us or not.
140 00:17:11.290 ⇒ 00:17:11.920 Miguel de Veyra: Okay.
141 00:17:12.710 ⇒ 00:17:13.300 Uttam Kumaran: Yeah.
142 00:17:24.930 ⇒ 00:17:30.579 Miguel de Veyra: Good. I’m sorry. So this takes priority over the internal agent. Correct
143 00:17:33.136 ⇒ 00:17:36.399 Uttam Kumaran: There will. This is what I’m saying is that like
144 00:17:37.030 ⇒ 00:17:40.859 Uttam Kumaran: there is no internal agent work unless it solves a problem
145 00:17:41.420 ⇒ 00:17:41.770 Miguel de Veyra: Yeah.
146 00:17:41.770 ⇒ 00:17:44.020 Uttam Kumaran: So do you need to like?
147 00:17:44.150 ⇒ 00:17:45.800 Uttam Kumaran: I guess what I’m saying is.
148 00:17:47.150 ⇒ 00:17:54.949 Uttam Kumaran: we like there is work on the internal agents that need to happen for any sort of solution. We build here like moving slack to S 3
149 00:17:55.190 ⇒ 00:17:57.350 Uttam Kumaran: needs to happen for anything we do.
150 00:17:58.020 ⇒ 00:18:05.579 Uttam Kumaran: Right? So I guess what I’m trying to get you to think about is like you need to do both in parallel. You need to execute and plan in parallel
151 00:18:05.750 ⇒ 00:18:06.270 Miguel de Veyra: Okay. Okay.
152 00:18:06.270 ⇒ 00:18:13.589 Uttam Kumaran: Most companies will plan and then execute. We don’t. We’re not gonna do that. We can’t do that. We’re we’re we’re late. So
153 00:18:13.770 ⇒ 00:18:25.150 Uttam Kumaran: we have to somewhat plan, learn from data and sales and what they need and but continue to execute. We know the data team is going to need. Github is gonna need all this data. So we might as well start working on it.
154 00:18:25.520 ⇒ 00:18:27.960 Uttam Kumaran: Right? So we need to do, we need to do both
155 00:18:29.570 ⇒ 00:18:30.370 Miguel de Veyra: Okay. Noted.
156 00:18:36.560 ⇒ 00:18:41.429 Uttam Kumaran: So that yeah, I guess what? What? I’m my my main concern for this is like
157 00:18:41.580 ⇒ 00:18:47.199 Uttam Kumaran: for you guys to set up. I I can be the product owner for like this team.
158 00:18:47.340 ⇒ 00:18:58.310 Uttam Kumaran: But I don’t wanna be guaranteeing the success of an agent deployed into a team. So you need to find a champion. You need to find someone there that’s gonna drive it within the team.
159 00:18:59.380 ⇒ 00:19:18.139 Uttam Kumaran: That person also needs to be able to help you set the backlog. Right? So Annie may be a champion, but like, and that means she’s like a heavy user. But she may not be able to tell you like, what the fundamental problem is. And so this is where, again, I want you guys to establish a direct relationship with.
160 00:19:18.270 ⇒ 00:19:21.269 Uttam Kumaran: it’s either a waste or demo laude on data.
161 00:19:21.866 ⇒ 00:19:26.139 Uttam Kumaran: and then it’s just it’s it’s Robert or Key on on sales.
162 00:19:33.080 ⇒ 00:19:39.349 Amber Lin: Yeah. Sounds good. Probably would talk with Robert and the sales office hours. He’s pretty busy.
163 00:19:39.890 ⇒ 00:19:47.660 Amber Lin: Okay, throughout any would you be able to make that, Miguel. It’s 11 am. Pst.
164 00:19:48.210 ⇒ 00:19:50.109 Amber Lin: so it might be a little late for you
165 00:19:51.320 ⇒ 00:19:53.450 Miguel de Veyra: 11 Am. Tuesday.
166 00:19:53.620 ⇒ 00:20:00.429 Amber Lin: Yeah, so that will be your one. Am one. Am I think
167 00:20:02.160 ⇒ 00:20:02.850 Miguel de Veyra: Gotcha
168 00:20:03.300 ⇒ 00:20:04.520 Amber Lin: Or 2
169 00:20:07.640 ⇒ 00:20:08.890 Miguel de Veyra: Yeah, it’s 2
170 00:20:09.260 ⇒ 00:20:09.910 Amber Lin: Okay.
171 00:20:17.170 ⇒ 00:20:19.300 Miguel de Veyra: I have a question. By the way.
172 00:20:21.040 ⇒ 00:20:21.600 Uttam Kumaran: Yeah.
173 00:20:22.070 ⇒ 00:20:37.229 Miguel de Veyra: So I was. Yeah. Cause, from what I understood from my experience in s. 3, right? I think this is this is not really related to this. But it’s more like the data architecture stuff, I believe, because the way I use S. 3 is, for example, I need to store an image or anything.
174 00:20:37.340 ⇒ 00:20:42.689 Miguel de Veyra: I just get the link. And then, you know, put it basically on a field.
175 00:20:43.160 ⇒ 00:20:49.049 Miguel de Veyra: So for slack messages, it’s not really an image. It’s not a video. How should we do that
176 00:20:49.880 ⇒ 00:20:52.459 Uttam Kumaran: You can store it as a Css. Csv, right?
177 00:20:54.562 ⇒ 00:20:56.659 Uttam Kumaran: Just dump a ton of Csvs in there
178 00:20:58.100 ⇒ 00:20:59.089 Miguel de Veyra: Okay. Okay.
179 00:20:59.620 ⇒ 00:21:05.060 Uttam Kumaran: So what I would. Yeah. So I mean, we could talk about it like, let’s let’s talk about it when we go look at the backlog
180 00:21:05.330 ⇒ 00:21:06.430 Miguel de Veyra: Okay. Okay. Sure. Sure.
181 00:21:10.645 ⇒ 00:21:11.720 Uttam Kumaran: Okay?
182 00:21:11.920 ⇒ 00:21:15.909 Uttam Kumaran: So I feel, okay, with, I feel better with these,
183 00:21:19.500 ⇒ 00:21:23.710 Uttam Kumaran: create scaling plan. Yeah, I guess for both of these, it’s like.
184 00:21:24.290 ⇒ 00:21:31.459 Uttam Kumaran: So so create scaling plan. It’s not super clear what that is like. Have we done, have we? I don’t know. Other team
185 00:21:32.090 ⇒ 00:21:33.480 Uttam Kumaran: create a scaling plan
186 00:21:33.480 ⇒ 00:21:34.830 Amber Lin: Oh, I see.
187 00:21:37.500 ⇒ 00:21:42.410 Amber Lin: No, let’s let’s just say that
188 00:21:42.410 ⇒ 00:21:45.519 Uttam Kumaran: If you if it’s on this page, I’m gonna ask about it. So
189 00:21:45.880 ⇒ 00:21:46.949 Amber Lin: Yeah, that’s okay.
190 00:21:47.730 ⇒ 00:21:48.510 Uttam Kumaran: Okay,
191 00:21:55.510 ⇒ 00:22:05.150 Uttam Kumaran: okay, I feel I feel pretty good about these. I think my number one concern is that like.
192 00:22:05.520 ⇒ 00:22:07.689 Uttam Kumaran: we just need to be moving faster.
193 00:22:08.210 ⇒ 00:22:09.360 Uttam Kumaran: Yeah.
194 00:22:09.850 ⇒ 00:22:12.359 Uttam Kumaran: And my number one concern is that
195 00:22:12.910 ⇒ 00:22:20.670 Uttam Kumaran: Miguel even questions like that you should go to. You should go to the data team and ask that right? Like I, I still feel like I’m in the loop on too much.
196 00:22:21.050 ⇒ 00:22:29.899 Uttam Kumaran: The data team will help you on any data questions. Every team like you should rely on them even with questions about data, infrastructure and things like that.
197 00:22:31.700 ⇒ 00:22:36.849 Uttam Kumaran: So this is where it’s like, I wanna, I I’m happy to be on the hook on telling
198 00:22:36.990 ⇒ 00:22:42.579 Uttam Kumaran: sort of what needs to happen, and like what my expectations are. But for me, I want to be driven towards results.
199 00:22:42.720 ⇒ 00:22:46.430 Uttam Kumaran: I’m gonna be less about like how it gets done.
200 00:22:46.911 ⇒ 00:23:04.530 Uttam Kumaran: And this is where I like, I I really want to free up. So you guys go meet directly with whoever it is on the on our clients. Right? If the client is data or sales, you guys go directly to them and make sure that their problem is ultimately solved. Part of that is getting them to articulate the problem right? Really, really, clearly.
201 00:23:04.640 ⇒ 00:23:08.249 Uttam Kumaran: And then the second part is, how do you methodically release
202 00:23:08.730 ⇒ 00:23:14.370 Uttam Kumaran: new tools and services that that sort of solves solves that. But it
203 00:23:14.690 ⇒ 00:23:19.559 Uttam Kumaran: you you guys know, if it takes if it takes 2, 3 weeks you’re gonna lose momentum.
204 00:23:19.730 ⇒ 00:23:25.629 Uttam Kumaran: So the key thing to understand here is this piece is gonna be really, really important, like
205 00:23:25.940 ⇒ 00:23:34.790 Uttam Kumaran: having time to do this. And Miguel going back to like. How we used to release things like within days is what’s gonna need to happen here
206 00:23:36.970 ⇒ 00:23:37.560 Uttam Kumaran: So
207 00:23:38.270 ⇒ 00:23:50.580 Uttam Kumaran: like this is where it’s like across. Every team is starting to slow down a little bit, because we just have process and things like that, which is fine. But this team really like I wanna I wanna
208 00:23:51.050 ⇒ 00:23:55.120 Uttam Kumaran: we have the. We have the luxury of being an internal engineering team.
209 00:23:55.450 ⇒ 00:24:00.169 Uttam Kumaran: which means we can skip a lot of steps. And so I really want us to move fast.
210 00:24:00.814 ⇒ 00:24:05.480 Uttam Kumaran: and like, try to do some some really really interesting stuff.
211 00:24:16.030 ⇒ 00:24:16.700 Uttam Kumaran: Okay.
212 00:25:42.740 ⇒ 00:25:44.610 Miguel de Veyra: Where is the Meladibase
213 00:25:46.738 ⇒ 00:25:48.530 Uttam Kumaran: He’s in Malta. Yeah.
214 00:25:55.530 ⇒ 00:25:56.640 Miguel de Veyra: Oh, so I can.
215 00:25:59.650 ⇒ 00:26:02.980 Miguel de Veyra: I can reach out to him earlier in my day.
216 00:26:04.040 ⇒ 00:26:04.830 Uttam Kumaran: Yeah.
217 00:26:04.830 ⇒ 00:26:07.069 Miguel de Veyra: Because it’s only 5 Pm. On his schedule
218 00:26:07.070 ⇒ 00:26:10.709 Uttam Kumaran: Yeah, he’s usually up by like 5 Am. My time. So whatever that is
219 00:26:11.080 ⇒ 00:26:12.090 Miguel de Veyra: Okay, okay?
220 00:26:15.140 ⇒ 00:26:17.400 Miguel de Veyra: And the weish is based in India. Right?
221 00:26:19.140 ⇒ 00:26:20.460 Uttam Kumaran: In Pakistan. Yeah.
222 00:26:23.250 ⇒ 00:26:25.399 Miguel de Veyra: Okay. So both of them I can reach out to
223 00:26:26.950 ⇒ 00:26:27.640 Amber Lin: Wait!
224 00:26:28.120 ⇒ 00:26:29.239 Miguel de Veyra: Nice. Okay.
225 00:26:30.070 ⇒ 00:26:37.559 Amber Lin: I mean, if you can meet with them individually before a meeting or after a meeting that will be great as well, but that probably will be a
226 00:26:37.870 ⇒ 00:26:39.489 Amber Lin: more frequent thing.
227 00:26:40.170 ⇒ 00:26:40.675 Amber Lin: Okay?
228 00:26:41.300 ⇒ 00:26:47.650 Amber Lin: So I cleaned this up. So we have team operations. And we have how? What we’re gonna do with the
229 00:26:48.290 ⇒ 00:26:49.750 Amber Lin: a clients.
230 00:26:50.000 ⇒ 00:26:53.199 Amber Lin: And then what we’re gonna wanna to do for the company
231 00:26:53.760 ⇒ 00:26:54.480 Uttam Kumaran: Okay.
232 00:26:54.640 ⇒ 00:26:55.330 Amber Lin: So.
233 00:26:57.740 ⇒ 00:27:03.049 Uttam Kumaran: So I think I’ll I’ll I mean I’ll leave it to you guys to to give me like timelines.
234 00:27:04.780 ⇒ 00:27:06.080 Uttam Kumaran: But again, like
235 00:27:06.790 ⇒ 00:27:13.099 Uttam Kumaran: for me. It’s like as soon as possible. So I think the helpful thing is for you all to work together to think about
236 00:27:13.967 ⇒ 00:27:18.079 Uttam Kumaran: for things like the opportunities. Report the charter the
237 00:27:20.160 ⇒ 00:27:22.990 Uttam Kumaran: just like, how do we structure and and get these done?
238 00:27:23.480 ⇒ 00:27:24.320 Uttam Kumaran: You know
239 00:27:25.760 ⇒ 00:27:26.850 Miguel de Veyra: Soon as we can. Yeah.
240 00:27:33.710 ⇒ 00:27:40.029 Uttam Kumaran: So I guess my 1st ask is like, When can we do that like? When can we go review like a timeline? Basically for everything
241 00:27:40.870 ⇒ 00:27:43.590 Amber Lin: So to for that to happen, we need to
242 00:27:44.080 ⇒ 00:27:52.769 Amber Lin: get input from the teams. Right, we need to get input from our clients which is happening tomorrow, and after that
243 00:27:53.030 ⇒ 00:27:57.740 Amber Lin: we’ll probably or work together to get a timeline out
244 00:27:58.420 ⇒ 00:27:59.110 Uttam Kumaran: Okay.
245 00:28:00.480 ⇒ 00:28:06.009 Amber Lin: I do want it to do faster. Be faster. That’s why I kind of wanted a meeting today to know
246 00:28:08.090 ⇒ 00:28:12.289 Uttam Kumaran: So I’m now. I can meet every single day on this. So I’m available
247 00:28:12.560 ⇒ 00:28:12.890 Amber Lin: Okay.
248 00:28:12.890 ⇒ 00:28:15.340 Uttam Kumaran: But yeah. So
249 00:28:15.600 ⇒ 00:28:24.009 Uttam Kumaran: I’m down. And and again, the team is available. So I want us to push like, and really really start to move the needle on
250 00:28:24.370 ⇒ 00:28:26.719 Uttam Kumaran: fun stuff for for everyone. So
251 00:28:27.180 ⇒ 00:28:27.810 Amber Lin: Hmm!
252 00:28:31.060 ⇒ 00:28:39.360 Amber Lin: So why don’t we? Since we’re already you’re here, you know about the data. Why don’t we start on the data part and just spit out something.
253 00:28:39.360 ⇒ 00:28:44.290 Amber Lin: Yeah, we can start off. Of how do you think? What do you think that Jesus
254 00:28:44.290 ⇒ 00:28:48.988 Uttam Kumaran: I guess I would rather I would rather
255 00:28:51.200 ⇒ 00:28:57.499 Uttam Kumaran: I’d rather do this in that call tomorrow, because I again I don’t. I don’t. I don’t want to be the sole person
256 00:28:57.970 ⇒ 00:29:01.609 Uttam Kumaran: dictating any roadmap, because otherwise it’s gonna come back to me.
257 00:29:01.970 ⇒ 00:29:06.900 Uttam Kumaran: So like we have our meeting with oat and demalade. Tomorrow I’ll I’ll
258 00:29:07.180 ⇒ 00:29:12.580 Uttam Kumaran: I’ll just plan on being in that discussion and doing it there. But again, this is more of like a psychology thing.
259 00:29:12.900 ⇒ 00:29:14.089 Uttam Kumaran: really just don’t.
260 00:29:14.090 ⇒ 00:29:18.623 Uttam Kumaran: I don’t want there to be an item that I wrote that they’re like not familiar with
261 00:29:18.890 ⇒ 00:29:19.370 Amber Lin: Language.
262 00:29:19.370 ⇒ 00:29:19.800 Uttam Kumaran: So.
263 00:29:19.800 ⇒ 00:29:31.090 Amber Lin: That is a good point. So why don’t we talk about the foundational stuff of cause we were talking about? We want to put it in. Aws, s. 3. Why don’t we listen
264 00:29:31.430 ⇒ 00:29:35.469 Amber Lin: more items on that? So that’s what we can do, because that’s what
265 00:29:35.470 ⇒ 00:29:40.370 Uttam Kumaran: All this is in all this is already in linear, though I’m pretty sure
266 00:29:40.370 ⇒ 00:29:41.820 Miguel de Veyra: Yeah. Yep.
267 00:29:42.220 ⇒ 00:29:47.560 Amber Lin: Great. So let’s go to let’s go to linear and then move those tickets.
268 00:29:49.150 ⇒ 00:29:51.100 Amber Lin: AI team.
269 00:29:53.160 ⇒ 00:29:56.100 Amber Lin: Right? Okay, performance and review.
270 00:29:57.410 ⇒ 00:29:59.309 Amber Lin: So that’s to do today.
271 00:30:09.480 ⇒ 00:30:14.779 Uttam Kumaran: So can we? 1st just let’s take a look at anything that’s like in the current cycle.
272 00:30:21.570 ⇒ 00:30:25.349 Uttam Kumaran: So I guess we can just go through anything that’s in progress in review.
273 00:30:25.720 ⇒ 00:30:28.549 Uttam Kumaran: like, what’s all this? What’s the status of these items?
274 00:30:28.550 ⇒ 00:30:33.759 Amber Lin: Okay, operations. I’m gonna move.
275 00:30:34.500 ⇒ 00:30:44.990 Amber Lin: Yeah, I’m gonna move these to move these back stents.
276 00:30:49.830 ⇒ 00:30:59.060 Amber Lin: move them to backlog and and move the sales part out here.
277 00:31:22.000 ⇒ 00:31:22.780 Amber Lin: Right?
278 00:31:24.720 ⇒ 00:31:27.199 Amber Lin: So that’s to do.
279 00:31:27.860 ⇒ 00:31:32.829 Amber Lin: We have the segue has started today.
280 00:31:51.880 ⇒ 00:31:56.440 Amber Lin: What are these meetings? Storage?
281 00:31:57.070 ⇒ 00:32:05.060 Amber Lin: Okay. I know the S. 3 set up. What is the video storage and analytics and order
282 00:32:05.438 ⇒ 00:32:09.600 Miguel de Veyra: Basically, we’re gonna be moving the video storage to Zoom Meetings
283 00:32:09.800 ⇒ 00:32:12.019 Miguel de Veyra: from cause. Right now, it’s in.
284 00:32:12.300 ⇒ 00:32:15.840 Miguel de Veyra: it’s in G drive. So we’re basically moving that to s 3,
285 00:32:16.530 ⇒ 00:32:17.730 Amber Lin: Oh, okay,
286 00:32:22.400 ⇒ 00:32:28.809 Amber Lin: And so who is Miguel? Are you doing this, or is Casey gonna do this?
287 00:32:28.810 ⇒ 00:32:29.410 Miguel de Veyra: Small.
288 00:32:29.410 ⇒ 00:32:35.469 Uttam Kumaran: Well, let’s so let’s let’s 1st again. I I 1st I wanna I wanna just do run these.
289 00:32:36.140 ⇒ 00:32:36.570 Uttam Kumaran: of course.
290 00:32:36.570 ⇒ 00:32:50.970 Uttam Kumaran: sharing with everybody in terms of running these sort of Pm. Meetings. 1st go through everything that’s in progress and update anything there. The second piece is to then make sure all the backlogs have all the requirements.
291 00:32:51.160 ⇒ 00:32:58.220 Uttam Kumaran: and then due dates and then decide what’s gonna get put into the sprint. Otherwise it’s gonna be too hard to sort of look at everything
292 00:32:59.080 ⇒ 00:32:59.630 Amber Lin: Okay, so.
293 00:32:59.630 ⇒ 00:33:03.479 Uttam Kumaran: So just the stuff that’s in progress right now or in review.
294 00:33:03.710 ⇒ 00:33:04.709 Uttam Kumaran: What is done
295 00:33:06.446 ⇒ 00:33:15.320 Miguel de Veyra: So for this, the recruitment process, I’m just. I’m currently working on Jd, but I haven’t. Really, you know, today I have. I have not spent that much time on it.
296 00:33:16.210 ⇒ 00:33:18.340 Uttam Kumaran: So there’s no due date on this
297 00:33:19.755 ⇒ 00:33:22.280 Miguel de Veyra: Can you make it? Wednesday.
298 00:33:22.940 ⇒ 00:33:23.580 Amber Lin: Okay.
299 00:33:24.970 ⇒ 00:33:26.850 Uttam Kumaran: So everything that’s in
300 00:33:27.590 ⇒ 00:33:36.709 Uttam Kumaran: in progress I want, or it’s come it’s to in the cycle. I want to make sure it has a due date. So everything has had a due date assignee, and an estimate
301 00:33:38.830 ⇒ 00:33:49.586 Uttam Kumaran: And you know, I’m I’m sort of going through all clients and sort of reminding everyone of this. So this is, this is, this is fine for now let’s just please make sure everything that’s in so
302 00:33:50.000 ⇒ 00:33:51.180 Uttam Kumaran: recruitment.
303 00:33:51.440 ⇒ 00:33:53.160 Uttam Kumaran: Due date is a second.
304 00:33:55.940 ⇒ 00:33:58.880 Uttam Kumaran: Can you set an estimate as well
305 00:34:00.830 ⇒ 00:34:02.579 Amber Lin: Miguel, what do you? Yeah.
306 00:34:02.780 ⇒ 00:34:03.390 Uttam Kumaran: Yeah.
307 00:34:04.320 ⇒ 00:34:08.510 Miguel de Veyra: Sorry, guys, what do you mean? Estimate like the time spent the boys
308 00:34:08.510 ⇒ 00:34:08.920 Uttam Kumaran: So.
309 00:34:08.929 ⇒ 00:34:10.999 Miguel de Veyra: Probably one, probably one or 2,
310 00:34:13.480 ⇒ 00:34:16.290 Uttam Kumaran: So that, okay, so that means it’s gonna take an hour
311 00:34:16.290 ⇒ 00:34:16.949 Miguel de Veyra: Yeah.
312 00:34:19.110 ⇒ 00:34:19.699 Uttam Kumaran: Okay.
313 00:34:23.360 ⇒ 00:34:29.850 Uttam Kumaran: okay, so then, what about the stuff that’s in? Yeah, what about any of these items?
314 00:34:29.850 ⇒ 00:34:34.269 Amber Lin: He’s these are on the our client.
315 00:34:34.270 ⇒ 00:34:34.650 Uttam Kumaran: Okay, that’s
316 00:34:34.699 ⇒ 00:34:35.819 Amber Lin: Actually so, this should be
317 00:34:35.820 ⇒ 00:34:37.230 Uttam Kumaran: So those are both. Tomorrow
318 00:34:37.560 ⇒ 00:34:38.290 Amber Lin: Yeah.
319 00:34:39.790 ⇒ 00:34:44.710 Uttam Kumaran: Okay, that’s fine. You can. Just you can leave them. Yeah, as blocked or whatever. Yeah, that’s fine.
320 00:34:46.460 ⇒ 00:34:55.209 Amber Lin: So okay, let’s look at also in the cycle to do’s and okay, these have
321 00:34:57.210 ⇒ 00:35:00.609 Amber Lin: okay, yeah, goals and requirements. Great
322 00:35:01.210 ⇒ 00:35:02.679 Miguel de Veyra: Sorry Sales
323 00:35:04.610 ⇒ 00:35:08.170 Uttam Kumaran: So the discovery for the data team
324 00:35:08.530 ⇒ 00:35:11.399 Amber Lin: Ticket is in the back is in the backlog, though.
325 00:35:11.400 ⇒ 00:35:12.670 Amber Lin: Oh, okay.
326 00:35:19.400 ⇒ 00:35:25.549 Uttam Kumaran: So I just wanna make sure that anything that’s being worked on right now it should just be in the current sprint
327 00:35:30.640 ⇒ 00:35:31.320 Uttam Kumaran: Okay.
328 00:35:36.160 ⇒ 00:35:37.340 Miguel de Veyra: So sales.
329 00:35:38.200 ⇒ 00:35:43.500 Uttam Kumaran: Okay? And then, how about this? So this item host capabilities. Deck behind web flow.
330 00:35:44.450 ⇒ 00:35:46.300 Uttam Kumaran: Okay, so it’s there right now.
331 00:35:51.480 ⇒ 00:35:59.129 Uttam Kumaran: Okay, so this one, Miguel, you you were able to like work on. I think the biggest thing is like this is a good example of
332 00:35:59.790 ⇒ 00:36:03.280 Uttam Kumaran: it needs to get sent to someone to review.
333 00:36:04.850 ⇒ 00:36:10.729 Uttam Kumaran: So either, I need to get pinged for review, which, okay, I see, you tag me
334 00:36:11.298 ⇒ 00:36:15.479 Uttam Kumaran: and then basically in this meeting, we’re like, okay, this needs to get reviewed today
335 00:36:16.100 ⇒ 00:36:16.800 Miguel de Veyra: Okay. Okay.
336 00:36:16.800 ⇒ 00:36:19.970 Uttam Kumaran: So if that’s on me, then I can review this today
337 00:36:20.230 ⇒ 00:36:22.270 Uttam Kumaran: and then sort of leave comments.
338 00:36:26.350 ⇒ 00:36:28.959 Uttam Kumaran: But is there anything else that we need to.
339 00:36:31.760 ⇒ 00:36:37.350 Uttam Kumaran: I guess in the con. I’m reading the comments. It says you’re gonna meet with Haleem
340 00:36:38.146 ⇒ 00:36:46.110 Miguel de Veyra: Yeah, because there’s something I’m not sure how to do in webflow, cause I was able to add the header, the footer. I’m a bit confused
341 00:36:47.050 ⇒ 00:36:48.770 Miguel de Veyra: because I’m copy paste. I don’t know.
342 00:36:48.940 ⇒ 00:36:53.650 Miguel de Veyra: It’s probably a beginner thing, but I repeated it. And does it know
343 00:36:54.350 ⇒ 00:36:57.970 Uttam Kumaran: Okay, so do you want me to review before that
344 00:36:59.640 ⇒ 00:37:05.040 Miguel de Veyra: Yeah, I mean, you know, it could be cause it’s technically done. It’s just the footer
345 00:37:05.580 ⇒ 00:37:07.119 Uttam Kumaran: Okay, I can take a look. Then.
346 00:37:07.540 ⇒ 00:37:09.430 Uttam Kumaran: okay, great. So that’s in review.
347 00:37:10.380 ⇒ 00:37:15.820 Uttam Kumaran: And then, yeah, there’s create roadmap. And then, okay, cool. So everything else here is
348 00:37:19.150 ⇒ 00:37:19.660 Miguel de Veyra: Yeah.
349 00:37:19.660 ⇒ 00:37:22.869 Uttam Kumaran: Are we comfortable with all of these being in review? Basically
350 00:37:23.390 ⇒ 00:37:24.020 Amber Lin: Hmm!
351 00:37:24.530 ⇒ 00:37:25.620 Amber Lin: Let me
352 00:37:25.620 ⇒ 00:37:27.169 Miguel de Veyra: Can you open a roadmap? Sorry.
353 00:37:28.702 ⇒ 00:37:30.030 Amber Lin: Open which one
354 00:37:30.030 ⇒ 00:37:31.250 Miguel de Veyra: Create Roadmap
355 00:37:31.700 ⇒ 00:37:33.749 Amber Lin: Yeah, I wanted to see.
356 00:37:34.260 ⇒ 00:37:38.369 Amber Lin: Oh, cute, yeah, the action plan broke. Like I said.
357 00:37:38.370 ⇒ 00:37:40.760 Miguel de Veyra: Oh, yeah, this is technically what we’re doing right now.
358 00:37:40.760 ⇒ 00:37:42.090 Amber Lin: Yeah, exactly.
359 00:37:42.090 ⇒ 00:37:44.139 Miguel de Veyra: Okay, okay, yeah. That should be fine. There. Then
360 00:37:47.070 ⇒ 00:37:51.739 Amber Lin: And I will change. I’ll update these statuses to match our other stuff, too.
361 00:37:54.269 ⇒ 00:37:58.219 Amber Lin: Okay, we looked at the parts in this cycle.
362 00:37:58.420 ⇒ 00:38:05.869 Amber Lin: Let’s look at. Let’s start to look at our backlog, or even even here, actually
363 00:38:05.870 ⇒ 00:38:08.980 Miguel de Veyra: Let’s yeah, let’s do the do. Yeah, let’s use to do first, st
364 00:38:09.700 ⇒ 00:38:13.570 Miguel de Veyra: and then, yeah, start with sales. I guess top down
365 00:38:14.825 ⇒ 00:38:18.740 Amber Lin: Sales. We’re doing right now. So sales are these these items.
366 00:38:20.440 ⇒ 00:38:22.180 Amber Lin: So they’re essentially
367 00:38:24.170 ⇒ 00:38:30.960 Miguel de Veyra: Oh, is there? Oh, oh, okay. I thought, maybe Robert, something wants wanted something built, or
368 00:38:31.410 ⇒ 00:38:33.369 Miguel de Veyra: what what? I understood as well, you bet
369 00:38:33.370 ⇒ 00:38:40.579 Uttam Kumaran: No, I mean I this is where again I want you guys to talk to him. I know what he wants, but I don’t want to. I’m not gonna be on the hook like
370 00:38:40.976 ⇒ 00:38:47.630 Uttam Kumaran: if there’s a question about it, it’s not gonna come to me. That’s what I’m trying to. That’s what I’m trying to remind you here, like
371 00:38:47.630 ⇒ 00:38:48.580 Miguel de Veyra: Okay. Okay.
372 00:38:48.580 ⇒ 00:38:54.510 Uttam Kumaran: I’m not gonna answer the question about what they want, because it needs to go to them. Otherwise there’s no way it’s going to be successful.
373 00:38:54.740 ⇒ 00:38:55.890 Uttam Kumaran: So
374 00:38:56.370 ⇒ 00:38:57.070 Amber Lin: Yeah.
375 00:38:57.070 ⇒ 00:38:58.779 Uttam Kumaran: I think, leaving it here is fine
376 00:38:59.430 ⇒ 00:39:01.530 Amber Lin: Let’s look at these 3
377 00:39:02.366 ⇒ 00:39:08.309 Miguel de Veyra: The setup. I’m pretty much done. I just have some questions. I will ask them
378 00:39:08.310 ⇒ 00:39:11.460 Amber Lin: Oh, so this is. This is in progress.
379 00:39:11.460 ⇒ 00:39:13.110 Miguel de Veyra: Yes, okay.
380 00:39:13.110 ⇒ 00:39:19.110 Miguel de Veyra: I’ve already created, like the different folders and stuff. I just wanna make sure that the data infrastructure is correct.
381 00:39:19.110 ⇒ 00:39:25.209 Uttam Kumaran: Yeah, you should. So if if Demonsh don’t know, you should call Patrick, that’s the escalation.
382 00:39:25.800 ⇒ 00:39:30.749 Uttam Kumaran: Call those 2, if they don’t know, call Patrick. If he doesn’t know, then then ask, then ask me
383 00:39:31.010 ⇒ 00:39:32.309 Miguel de Veyra: Okay. Okay. Sure. Sure.
384 00:39:33.410 ⇒ 00:39:35.059 Uttam Kumaran: Patrick will know everything, so
385 00:39:35.636 ⇒ 00:39:36.790 Miguel de Veyra: Okay, okay.
386 00:39:40.570 ⇒ 00:39:43.359 Miguel de Veyra: Patrick is also on our aws. Correct?
387 00:39:44.890 ⇒ 00:39:47.320 Uttam Kumaran: Yeah, I invited him. Yeah, same thing.
388 00:39:50.190 ⇒ 00:39:51.350 Amber Lin: Edit, these stuff
389 00:39:51.350 ⇒ 00:39:54.030 Uttam Kumaran: Yeah, that’s that’s a yeah, exactly. That’s perfect.
390 00:39:56.190 ⇒ 00:39:58.439 Miguel de Veyra: How do you do that? Amber? The change status without
391 00:39:59.240 ⇒ 00:40:04.130 Amber Lin: You hover on it, you click X, and you click s for status
392 00:40:04.520 ⇒ 00:40:06.179 Miguel de Veyra: Access. Okay. Okay, thank you.
393 00:40:06.810 ⇒ 00:40:11.279 Amber Lin: So I would say, What’s what’s your estimated due date on this
394 00:40:15.150 ⇒ 00:40:20.090 Miguel de Veyra: I should probably finish it as soon as I get back. So Wednesday.
395 00:40:20.450 ⇒ 00:40:22.900 Miguel de Veyra: because there’s no cause of holiday tomorrow. Yeah.
396 00:40:22.900 ⇒ 00:40:24.769 Amber Lin: Oh, I see. Okay.
397 00:40:25.090 ⇒ 00:40:38.540 Amber Lin: sounds good. Oh, yeah. And I did not know that it was a holiday. So thank you for telling me, and I’ll we should have a calendar for that. But it will also help me if you guys told me a little bit earlier
398 00:40:38.540 ⇒ 00:40:40.510 Miguel de Veyra: I think I did tell you last week. No.
399 00:40:41.166 ⇒ 00:40:43.030 Amber Lin: You told. I think you told me
400 00:40:43.030 ⇒ 00:40:46.120 Miguel de Veyra: I think I told you Monday, yeah.
401 00:40:46.250 ⇒ 00:40:49.130 Miguel de Veyra: okay, okay, I’ll I’ll be, for I’ll find you more. Okay.
402 00:40:49.130 ⇒ 00:40:49.660 Amber Lin: Okay.
403 00:40:50.060 ⇒ 00:40:55.619 Miguel de Veyra: And then to do meeting with video storage moved. Yeah, it’s basically part of the S 3 setup
404 00:40:56.420 ⇒ 00:40:57.095 Amber Lin: Oh,
405 00:40:58.880 ⇒ 00:41:01.819 Miguel de Veyra: I think this is blocked, though not escalation.
406 00:41:02.750 ⇒ 00:41:04.250 Amber Lin: But in progress
407 00:41:04.250 ⇒ 00:41:05.740 Miguel de Veyra: Blocked. Yes.
408 00:41:05.740 ⇒ 00:41:07.539 Amber Lin: How come it’s blocked?
409 00:41:07.540 ⇒ 00:41:12.589 Miguel de Veyra: Because it’s it depends on, if we can. In the S 3 setup being finished
410 00:41:13.760 ⇒ 00:41:17.840 Amber Lin: Oh, sub issue of the market there.
411 00:41:19.450 ⇒ 00:41:24.820 Amber Lin: So this is to do, or I guess
412 00:41:25.060 ⇒ 00:41:25.980 Miguel de Veyra: Yes.
413 00:41:27.025 ⇒ 00:41:28.070 Amber Lin: And
414 00:41:28.230 ⇒ 00:41:29.210 Miguel de Veyra: Pipeline.
415 00:41:30.110 ⇒ 00:41:31.150 Miguel de Veyra: Oh, okay.
416 00:41:32.140 ⇒ 00:41:34.789 Amber Lin: Okay. And when do you think this will be done?
417 00:41:36.183 ⇒ 00:41:41.019 Miguel de Veyra: This is gonna be. Actually, it’s Casey who’s gonna be doing this.
418 00:41:41.571 ⇒ 00:41:46.719 Miguel de Veyra: It’s just a matter of moving stuff. So it should be done Wednesday, I believe, too.
419 00:41:46.920 ⇒ 00:41:49.999 Amber Lin: So that will be Casey, and that will be
420 00:41:50.130 ⇒ 00:41:51.080 Miguel de Veyra: Yeah.
421 00:41:51.440 ⇒ 00:41:53.050 Amber Lin: Wednesday.
422 00:41:53.530 ⇒ 00:41:58.270 Miguel de Veyra: Cause. Yeah. I mean, it’s just moving stuff around and then tracking what’s moved so it shouldn’t take long
423 00:41:58.270 ⇒ 00:41:58.909 Amber Lin: There you go!
424 00:41:59.940 ⇒ 00:42:00.510 Miguel de Veyra: Down.
425 00:42:01.050 ⇒ 00:42:02.470 Miguel de Veyra: That’s probably something that’s gonna come up
426 00:42:02.620 ⇒ 00:42:08.309 Amber Lin: Good pipeline to use github actions to update a markdown, follow the whole
427 00:42:08.310 ⇒ 00:42:21.800 Uttam Kumaran: Yeah. So you open this? Basically, I’m gonna create. I’m creating a pipeline that would just create a you know, Miguel, that the like, Llm, dot text, we just do like repo, mix and basically create all the repo into one file.
428 00:42:21.990 ⇒ 00:42:29.459 Uttam Kumaran: I’m basically gonna do that on a github action. So I’ll just right here. Use repo mix to
429 00:42:29.910 ⇒ 00:42:37.809 Uttam Kumaran: on cat entire repo into one file called Lm, dot txt
430 00:42:38.650 ⇒ 00:42:41.900 Uttam Kumaran: similar. This is something you’re we’re gonna need anyways.
431 00:42:42.180 ⇒ 00:42:48.700 Uttam Kumaran: Okay. So what I’m thinking is I, I’m going to just make this available so that you don’t. You don’t have to do it on your end.
432 00:42:49.770 ⇒ 00:42:52.869 Uttam Kumaran: All you need to do is pull the Llm dot text file
433 00:42:55.720 ⇒ 00:43:03.228 Uttam Kumaran: and then I’m gonna also have this update on pr, so update on new pr.
434 00:43:04.630 ⇒ 00:43:06.820 Uttam Kumaran: yeah. So this one should be done by Wednesday.
435 00:43:07.100 ⇒ 00:43:10.879 Amber Lin: Okay, this one is gonna take me.
436 00:43:11.030 ⇒ 00:43:13.360 Uttam Kumaran: It’s a 3 points for me, because I’m slow
437 00:43:15.090 ⇒ 00:43:23.180 Amber Lin: What about the oh, wait! Can we have estimates for this? News escalation?
438 00:43:29.875 ⇒ 00:43:37.089 Amber Lin: how’s the what’s the estimate for move the video storage moving to Sb.
439 00:43:39.320 ⇒ 00:43:41.591 Uttam Kumaran: Yeah, I guess my, my question,
440 00:43:43.360 ⇒ 00:43:49.309 Uttam Kumaran: yeah, I guess my question is also like, we have sub issues and issues. But we also have some other data sources here. That’s like
441 00:43:49.930 ⇒ 00:43:53.999 Uttam Kumaran: data source, slack messages, data sources, Zoom Meetings like.
442 00:43:56.200 ⇒ 00:43:58.389 Uttam Kumaran: isn’t this part of data sources, Zoom Meetings
443 00:43:58.390 ⇒ 00:44:00.310 Miguel de Veyra: Yeah, yeah, that, technically, yes.
444 00:44:00.600 ⇒ 00:44:02.109 Amber Lin: Oh, so this is the same.
445 00:44:03.570 ⇒ 00:44:08.020 Amber Lin: Can I just change? Can I copy this to the
446 00:44:10.880 ⇒ 00:44:11.910 Amber Lin: Oh.
447 00:44:11.910 ⇒ 00:44:20.510 Miguel de Veyra: Basically the different. The only difference is Zoom Meetings is going to be. The new ones will also be sent there and then the the 1st ticket we were talking about earlier.
448 00:44:20.640 ⇒ 00:44:22.440 Miguel de Veyra: It’s about the existing ones
449 00:44:22.760 ⇒ 00:44:24.069 Amber Lin: Oh, okay, I see.
450 00:44:27.880 ⇒ 00:44:32.669 Amber Lin: Okay, so what about these? Are we going to do?
451 00:44:34.140 ⇒ 00:44:34.960 Amber Lin: Oh.
452 00:44:38.510 ⇒ 00:44:42.359 Miguel de Veyra: Yeah, because basically, every data source there is part of the client agent.
453 00:44:46.606 ⇒ 00:44:54.769 Miguel de Veyra: Yeah, I’ve already tasked the team. Basically, because you know, it’s all gonna be sent to either to S. 3, and then to their respective
454 00:44:54.960 ⇒ 00:44:55.890 Miguel de Veyra: Dbs. I just
455 00:44:55.890 ⇒ 00:45:04.030 Uttam Kumaran: So I yeah, I guess what? My I guess kind of the best process I think that could be here is like
456 00:45:05.800 ⇒ 00:45:14.160 Uttam Kumaran: For example, once these all these requirements, Miguel, you’re like cool. This is ready. I would love to to review them
457 00:45:15.440 ⇒ 00:45:18.929 Uttam Kumaran: so you can move them to requirements in review. Once done.
458 00:45:18.930 ⇒ 00:45:19.920 Miguel de Veyra: Yeah.
459 00:45:20.620 ⇒ 00:45:41.499 Uttam Kumaran: Yeah. And then, basically, either in this meeting or you or you could just literally send it to me and say, Hey, these are all these tickets are all ready for review cause. There’s there’s now just like multiple points of failure that we’re avoiding. Right? We’re avoiding something gets worked on, cause. And I, it sort of missed something we’re avoiding me have basically spending time before it’s needing to review. So I think, having
460 00:45:41.810 ⇒ 00:45:46.610 Uttam Kumaran: having that is a having that is helpful
461 00:45:46.800 ⇒ 00:45:47.929 Miguel de Veyra: Okay, yeah.
462 00:45:48.150 ⇒ 00:46:00.489 Miguel de Veyra: For now, the the updates, actually, all of this has been all of this this data sources. I think we can move all of this to in progress, because everyone, because I’ve already assigned people to it
463 00:46:00.490 ⇒ 00:46:05.640 Uttam Kumaran: But I guess I don’t want. I don’t want anyone to get. I don’t want anything to get worked on until I review the ticket.
464 00:46:05.640 ⇒ 00:46:08.320 Amber Lin: Yeah, I think I, we should put these in
465 00:46:08.590 ⇒ 00:46:11.130 Uttam Kumaran: So you can move it to review. And I can.
466 00:46:11.130 ⇒ 00:46:13.439 Uttam Kumaran: Is it better if you were just?
467 00:46:15.565 ⇒ 00:46:18.540 Uttam Kumaran: I didn’t. I haven’t seen these yet.
468 00:46:19.340 ⇒ 00:46:20.639 Miguel de Veyra: Oh, okay. Okay. Okay.
469 00:46:21.100 ⇒ 00:46:34.369 Uttam Kumaran: I haven’t seen, I mean I haven’t seen any of the I mean. We may have talked about it, but, for example, in the Zoo in the Zoom Meetings. If there’s an item there that’s like I we wanted an extra field or something. I want to be able to add it to the ticket before it starts getting worked on
470 00:46:34.660 ⇒ 00:46:35.200 Miguel de Veyra: Okay. Okay.
471 00:46:35.200 ⇒ 00:46:41.040 Uttam Kumaran: So if if they’re all ready for review, cause the here are the things I’m going to be looking for, I’m going to be looking for?
472 00:46:41.476 ⇒ 00:46:45.720 Uttam Kumaran: Does it have all the acceptance? Does it have all the necessary details
473 00:46:45.720 ⇒ 00:46:46.090 Miguel de Veyra: Yeah.
474 00:46:46.490 ⇒ 00:46:47.290 Uttam Kumaran: And then.
475 00:46:47.600 ⇒ 00:47:02.270 Uttam Kumaran: basically, once once it’s ready to for development, then you can add it to the sprint, right? So ready for development is different than the requirements are set, because ideally, anybody on the team should be able to do any any of the tickets.
476 00:47:02.480 ⇒ 00:47:07.919 Uttam Kumaran: So that’s like the principle here, so any ticket should be able to work on by anybody on the team
477 00:47:07.920 ⇒ 00:47:08.580 Miguel de Veyra: Okay.
478 00:47:08.870 ⇒ 00:47:18.560 Uttam Kumaran: So with that in mind, it needs to have a lot of detail. Right? So what are the sub issues? What are the goals? Once it moves into once it once it’s like cool, it’s ready for development.
479 00:47:19.077 ⇒ 00:47:23.970 Uttam Kumaran: Which maybe amber. I don’t know if we have on this team. Maybe we can add another status here
480 00:47:23.970 ⇒ 00:47:26.679 Amber Lin: Yeah, I will. I will go update them.
481 00:47:26.680 ⇒ 00:47:32.769 Miguel de Veyra: Technically with them. This data sources, they’re in the right spot, right? Because this is requirements for review
482 00:47:33.330 ⇒ 00:47:38.850 Uttam Kumaran: They’re in the right spot now. Right? So then, once once I go through and I’m like cool. It’s good. I’ll move them to
483 00:47:39.070 ⇒ 00:47:40.460 Uttam Kumaran: to the the ready for
484 00:47:40.460 ⇒ 00:47:47.270 Uttam Kumaran: development. Then you and Amber can work together on who’s gonna do it? How long should it take when it’s gonna come out
485 00:47:47.720 ⇒ 00:47:49.909 Uttam Kumaran: right that cause I I should.
486 00:47:50.040 ⇒ 00:47:54.349 Uttam Kumaran: And then what I what I will do is like, I’ll be in the stand up sort of like.
487 00:47:54.570 ⇒ 00:48:16.710 Uttam Kumaran: hey? Why, I’ll be. This is where we want to have the discourse. Right? Because if I’m said, if I’m going and doing everything, then I’m on the hook for everything. So I I’m happy to be on the hook for just making sure that what needs to get done has all the details. But if some, if something is like, if you say something takes 2 weeks, I’m gonna ask you, why does it take 2 weeks? And then that’s the discussion we want to have right
488 00:48:17.300 ⇒ 00:48:22.040 Uttam Kumaran: instead. Otherwise, if I’m just looking in a mirror and I’m like making up due dates, I’m not working on any of it. So
489 00:48:22.040 ⇒ 00:48:22.430 Miguel de Veyra: Okay.
490 00:48:22.430 ⇒ 00:48:25.650 Uttam Kumaran: This is the sort of 3 legged stool, and then you would work.
491 00:48:25.910 ⇒ 00:48:43.340 Uttam Kumaran: We all work with amber to make sure that, like things get delivered to the clients right? Because she’ll own. Okay, we have the discovery meeting. Okay. Next, we then have the, we have a demo ready for them. Okay, we’re gonna get out the dashboard. Here’s how we’re gonna present it to the team. All of that stuff, that’s all.
492 00:48:43.470 ⇒ 00:48:45.379 Uttam Kumaran: A lot will be on on amber.
493 00:48:45.620 ⇒ 00:48:51.880 Uttam Kumaran: So then, we kind of have these shifting. We have, like just these different spheres of responsibility, con and control
494 00:48:56.350 ⇒ 00:48:59.339 Miguel de Veyra: Did we add ready for development? Okay?
495 00:49:06.630 ⇒ 00:49:11.740 Amber Lin: So let me check 2 seconds.
496 00:49:15.860 ⇒ 00:49:17.499 Amber Lin: Turn on view time.
497 00:49:54.410 ⇒ 00:49:55.130 Amber Lin: Okay.
498 00:49:55.660 ⇒ 00:49:56.470 Amber Lin: And
499 00:49:59.790 ⇒ 00:50:08.870 Amber Lin: since can we add estimations, maybe due dates on these
500 00:50:10.300 ⇒ 00:50:12.309 Uttam Kumaran: I wouldn’t add any. This is where again.
501 00:50:12.310 ⇒ 00:50:12.820 Miguel de Veyra: And we’re still under
502 00:50:12.820 ⇒ 00:50:17.689 Uttam Kumaran: We’re not gonna do any. No due dates estimations until it’s
503 00:50:17.690 ⇒ 00:50:18.550 Amber Lin: Until it’s inside
504 00:50:18.550 ⇒ 00:50:24.320 Uttam Kumaran: Because otherwise, like, if I go in and add 50% more requirements here, we’ll have to do that again. Yeah.
505 00:50:24.320 ⇒ 00:50:26.169 Amber Lin: Yeah, so good. Sounds good. I’ll know.
506 00:50:26.170 ⇒ 00:50:36.159 Uttam Kumaran: So this is where again, it’s like we have the backlog. So this is all backlog grooming, and then we’ll do planning, which is, who’s gonna do it? How long is it gonna take? When is it gonna come out?
507 00:50:36.510 ⇒ 00:50:39.169 Uttam Kumaran: Right? So I think, for now this is fine.
508 00:50:39.560 ⇒ 00:50:43.960 Uttam Kumaran: I feel much better. How do you like? What? How do you guys feel
509 00:50:44.460 ⇒ 00:50:46.830 Miguel de Veyra: Yeah, I think for now
510 00:50:46.830 ⇒ 00:50:48.219 Uttam Kumaran: It’s a lot of steps.
511 00:50:48.420 ⇒ 00:50:54.009 Uttam Kumaran: But like we’re gonna be, it’s gonna grow like again, we’re gonna grow the team
512 00:50:54.640 ⇒ 00:51:02.900 Uttam Kumaran: like we’re gonna take. We’re gonna start pushing really fast. So having these different, these different checks in our supply chain is is important.
513 00:51:03.230 ⇒ 00:51:08.730 Miguel de Veyra: Yeah, I really wanna go back also to that time when we can deliver like probably one to 2 days
514 00:51:09.070 ⇒ 00:51:10.480 Uttam Kumaran: Yeah, I agree. But again.
515 00:51:10.480 ⇒ 00:51:10.930 Miguel de Veyra: That’s okay.
516 00:51:10.930 ⇒ 00:51:12.760 Uttam Kumaran: Delivering in one to 2 days.
517 00:51:12.950 ⇒ 00:51:18.779 Uttam Kumaran: delivering what 2 days means. You guys have everything you need, and you know what needs what delivery means. Right?
518 00:51:18.780 ⇒ 00:51:19.300 Miguel de Veyra: Yes.
519 00:51:19.300 ⇒ 00:51:22.700 Uttam Kumaran: Cause what what happened before. I mean before you’re just working with me. Right? So then.
520 00:51:22.900 ⇒ 00:51:23.440 Miguel de Veyra: It’s funny.
521 00:51:23.440 ⇒ 00:51:25.430 Uttam Kumaran: Now I’m not the client
522 00:51:25.600 ⇒ 00:51:26.320 Miguel de Veyra: Yeah.
523 00:51:26.600 ⇒ 00:51:33.949 Uttam Kumaran: I mean, like, I’m use like, I’m already doing all this stuff on my own. So like. But I, this is where, like we’re trying to affect the company
524 00:51:34.260 ⇒ 00:51:34.830 Miguel de Veyra: Yep.
525 00:51:34.830 ⇒ 00:51:40.030 Uttam Kumaran: Like ha! Our goal is like everybody in data, uses AI every day
526 00:51:40.280 ⇒ 00:51:40.960 Miguel de Veyra: Yes.
527 00:51:40.960 ⇒ 00:51:44.150 Uttam Kumaran: That’s the goal that can’t be solved. Just just working with me.
528 00:51:44.300 ⇒ 00:51:48.760 Uttam Kumaran: It’s gonna be. It’s like all 3 of us working to to get this into people’s brains.
529 00:51:48.950 ⇒ 00:51:54.819 Uttam Kumaran: The other piece, I I think my question right now is like, Yeah, right now we have the
530 00:51:55.090 ⇒ 00:51:57.240 Uttam Kumaran: the create roadmap.
531 00:51:57.470 ⇒ 00:52:04.019 Uttam Kumaran: I guess I want to know when we can start to move some of the items from our discussion in notion today
532 00:52:06.180 ⇒ 00:52:07.420 Uttam Kumaran: Into here.
533 00:52:08.010 ⇒ 00:52:12.689 Uttam Kumaran: because right now that due date is set as April 11.th Does that mean we’re not going to work on
534 00:52:13.070 ⇒ 00:52:15.649 Amber Lin: Any of the other items until
535 00:52:19.220 ⇒ 00:52:23.620 Uttam Kumaran: Until that date, or it’s just gonna be these items
536 00:52:24.830 ⇒ 00:52:27.549 Amber Lin: I see we should have
537 00:52:28.060 ⇒ 00:52:29.619 Uttam Kumaran: Cause, I would say we should be able to
538 00:52:29.620 ⇒ 00:52:32.750 Amber Lin: Yeah, we also need, yeah, totally, go ahead.
539 00:52:33.280 ⇒ 00:52:34.259 Uttam Kumaran: Oh, go ahead! Go ahead!
540 00:52:35.200 ⇒ 00:52:44.550 Amber Lin: And I think I want now that we talk about it, I want to also add the issues of how plan, how are we gonna get everybody on board in the company.
541 00:52:45.101 ⇒ 00:52:47.840 Amber Lin: Yeah, how? How we’re gonna educate them.
542 00:52:48.110 ⇒ 00:52:56.839 Amber Lin: what we need to do and what people I need we need to meet and what kind of requirements we need. So that’s that just come came to mind
543 00:52:57.790 ⇒ 00:53:01.279 Uttam Kumaran: So I guess my ask is like, we have this complete
544 00:53:01.450 ⇒ 00:53:04.140 Amber Lin: This ticket, which is like, create roadmap
545 00:53:04.930 ⇒ 00:53:12.060 Uttam Kumaran: I want to go one layer deeper. And literally, we, we just we just did like basically set all these different short term goals.
546 00:53:12.170 ⇒ 00:53:14.390 Uttam Kumaran: All of these need to be ticketed out
547 00:53:14.760 ⇒ 00:53:15.550 Amber Lin: Yeah.
548 00:53:16.030 ⇒ 00:53:22.439 Uttam Kumaran: And like, why, like we should be able like I don’t know. I feel like that should be like a end of this week type thing
549 00:53:22.440 ⇒ 00:53:23.709 Amber Lin: Yeah, yeah, okay.
550 00:53:23.930 ⇒ 00:53:26.379 Uttam Kumaran: Right, I mean, you tell me like
551 00:53:26.650 ⇒ 00:53:32.320 Amber Lin: I think so too. I think when we created this we didn’t know how what timeframe we’re looking at, but
552 00:53:32.320 ⇒ 00:53:33.350 Uttam Kumaran: Totally, totally.
553 00:53:33.440 ⇒ 00:53:34.630 Amber Lin: Realistic.
554 00:53:35.710 ⇒ 00:53:40.800 Uttam Kumaran: But it’s up to you guys like, Look, I’m I’m looking at the notion which is like the measurements plan
555 00:53:41.565 ⇒ 00:53:44.490 Uttam Kumaran: complete discovery established product owner
556 00:53:44.720 ⇒ 00:53:50.540 Amber Lin: The AI charter, not really development related, so that shouldn’t take too much time.
557 00:53:51.090 ⇒ 00:53:52.309 Amber Lin: So I can be
558 00:53:52.310 ⇒ 00:53:54.469 Uttam Kumaran: That’s for that’s that’s for you to say. That’s
559 00:53:54.470 ⇒ 00:53:55.080 Miguel de Veyra: That’s what I’m saying.
560 00:53:55.080 ⇒ 00:54:13.200 Uttam Kumaran: It’s like, you guys, if my answer is always gonna be tomorrow. So I’m not a good person to ask for. When do we need it by right. It. This is, it’s the function is always gonna be the the. I guess the way to put it is, the the bottleneck is, gonna be your guys’s
561 00:54:13.630 ⇒ 00:54:17.939 Uttam Kumaran: time and efficiency, because my need is is yesterday
562 00:54:20.010 ⇒ 00:54:25.450 Uttam Kumaran: For, for now it will change to where I probably will start to have more realistic deadlines.
563 00:54:25.790 ⇒ 00:54:27.320 Uttam Kumaran: But for now
564 00:54:27.980 ⇒ 00:54:46.109 Uttam Kumaran: I want us to, basically, if we could get this all tomorrow done tomorrow, I would say tomorrow. So it’s up to you guys to set it so set realistic deadlines. Because as a team. We’re gonna start looking at, hey? We set these deadlines and we hit on what took longer, what took Shorter so set something realistic and do something that we can accomplish.
565 00:54:47.088 ⇒ 00:54:49.319 Uttam Kumaran: And I’m and I’m game with that
566 00:54:52.830 ⇒ 00:54:53.450 Miguel de Veyra: Okay.
567 00:54:54.320 ⇒ 00:54:55.210 Amber Lin: Tickets.
568 00:54:57.650 ⇒ 00:55:01.559 Uttam Kumaran: And then, yeah, let’s not worry about the long term vision. We’ll keep working on that as we go
569 00:55:01.870 ⇒ 00:55:02.240 Amber Lin: Yeah.
570 00:55:04.690 ⇒ 00:55:06.500 Amber Lin: Let me say
571 00:55:06.660 ⇒ 00:55:14.997 Uttam Kumaran: And so so again, all of these items in terms of like, okay, established measurement and metrics plan. That item can go into
572 00:55:18.180 ⇒ 00:55:24.549 Uttam Kumaran: that item can go into backlog and then requirements started, and then once it’s ready for review, let me know
573 00:55:25.010 ⇒ 00:55:25.803 Amber Lin: Yeah, okay,
574 00:55:53.450 ⇒ 00:56:04.149 Amber Lin: I think that will be blocked by the meeting. I can get started on that but probably I estimate that you can look at it by maybe end of day, Tuesday or
575 00:56:04.490 ⇒ 00:56:10.970 Amber Lin: early Wednesday. So that’s what I put it as let’s see
576 00:56:11.910 ⇒ 00:56:29.040 Uttam Kumaran: Yeah, if something’s in review, if something’s ready for review, it takes me 30 seconds to go through it all. So. But the the problem is is like, if it’s half baked, or if it’s empty, then I’m just gonna send it back to the kitchen. Basically, being like, I can’t like, I can’t review this. So that’s the thing is like
577 00:56:29.330 ⇒ 00:56:33.950 Uttam Kumaran: spend. It’ll take some time. But you don’t see you don’t need to put a due date on
578 00:56:34.670 ⇒ 00:56:35.979 Amber Lin: On this yet.
579 00:56:37.270 ⇒ 00:56:44.539 Uttam Kumaran: So nothing, nothing in backlog, nothing, except for what’s in cycle or ready for development, should have a due date
580 00:56:44.680 ⇒ 00:56:45.130 Miguel de Veyra: Yes.
581 00:56:45.130 ⇒ 00:56:45.630 Amber Lin: Okay.
582 00:56:47.260 ⇒ 00:56:51.439 Uttam Kumaran: It’s a good, it’s an it’ll. It’ll just lower the stress on stuff that’s not
583 00:56:52.570 ⇒ 00:56:59.999 Uttam Kumaran: already being worked on. Because I because if you set a due date for measurements plan. But then we spend a week just like going back and forth on it.
584 00:57:00.210 ⇒ 00:57:00.760 Amber Lin: Okay.
585 00:57:00.900 ⇒ 00:57:09.370 Uttam Kumaran: It’s gonna it’s gonna be now. So for anything before ready for development. Don’t worry about due date. Don’t worry about assignments. Don’t worry about.
586 00:57:10.140 ⇒ 00:57:12.220 Uttam Kumaran: Don’t worry about estimation.
587 00:57:12.400 ⇒ 00:57:15.249 Uttam Kumaran: Just worry about what’s in the the ticket.
588 00:57:16.680 ⇒ 00:57:17.770 Uttam Kumaran: Good rule of thumb
589 00:57:18.620 ⇒ 00:57:19.170 Amber Lin: Hmm.
590 00:57:27.780 ⇒ 00:57:31.279 Amber Lin: great, and then let’s look at the notion. Doc.
591 00:57:39.590 ⇒ 00:57:42.679 Amber Lin: so are. We have 2 week spreads.
592 00:57:43.415 ⇒ 00:57:54.199 Amber Lin: We’ll see after we complete a discovery of, or we’ll estimate how long that would take. But I do want something out at the end of the sprint
593 00:57:55.940 ⇒ 00:57:56.600 Uttam Kumaran: Okay.
594 00:57:56.810 ⇒ 00:57:57.930 Amber Lin: Email earlier.
595 00:57:58.600 ⇒ 00:58:07.750 Amber Lin: So we essentially, we’re not having a lot on. ABC, this is all where Casey’s almost all Casey’s time can go here
596 00:58:08.460 ⇒ 00:58:12.730 Uttam Kumaran: So I also see we have a planning tomorrow, like I guess
597 00:58:13.700 ⇒ 00:58:14.300 Amber Lin: Do we need
598 00:58:14.300 ⇒ 00:58:15.250 Uttam Kumaran: But I guess, like
599 00:58:16.610 ⇒ 00:58:24.220 Uttam Kumaran: well, this is where again I want to run. All the teams need to have a a grooming, planning, and some sort of retro
600 00:58:30.370 ⇒ 00:58:35.200 Uttam Kumaran: But it’s again not a not a question for me. It’s question for y’all like.
601 00:58:35.390 ⇒ 00:58:38.405 Uttam Kumaran: well, what are the when are the cycles gonna start and
602 00:58:40.673 ⇒ 00:58:49.290 Uttam Kumaran: and then when do we want to do planning? Because planning is where we’re gonna say, well, Casey, you’re working on this, can you give us an estimate on a on a due date.
603 00:58:49.460 ⇒ 00:58:50.020 Amber Lin: Hmm.
604 00:58:50.020 ⇒ 00:58:56.870 Uttam Kumaran: Or like, does this due date make sense to you? Does that? Can you give us the estimate on the points? And then they accept the work basically
605 00:59:08.090 ⇒ 00:59:09.160 Miguel de Veyra: I think
606 00:59:13.090 ⇒ 00:59:19.739 Amber Lin: So I think for tomorrow’s planning. If we want to do that time, it’s gonna be about
607 00:59:19.840 ⇒ 00:59:30.180 Amber Lin: getting the preparational stuff. So the data sources, and I the S. 3 setup.
608 00:59:30.300 ⇒ 00:59:34.529 Amber Lin: So if Utram, you can review those tickets
609 00:59:35.040 ⇒ 00:59:41.420 Amber Lin: by tomorrow, we can have Casey say say how long this is going to take for him.
610 00:59:42.935 ⇒ 00:59:48.119 Amber Lin: Oh, but tomorrow Casey and Miguel are out of office. So that team that doesn’t even work.
611 00:59:48.250 ⇒ 00:59:51.569 Amber Lin: I see. So I will move that meeting.
612 00:59:52.300 ⇒ 00:59:55.300 Amber Lin: We Miguel
613 00:59:55.300 ⇒ 00:59:55.970 Miguel de Veyra: Yeah.
614 00:59:55.970 ⇒ 01:00:00.219 Amber Lin: We’re out of cause. I didn’t. I didn’t know you’re out of office
615 01:00:00.840 ⇒ 01:00:08.489 Amber Lin: until like Sunday, essentially, so you wouldn’t be able to make the data meeting
616 01:00:08.730 ⇒ 01:00:10.500 Miguel de Veyra: I think I can go. I can go.
617 01:00:10.720 ⇒ 01:00:11.600 Amber Lin: Okay.
618 01:00:11.600 ⇒ 01:00:13.220 Miguel de Veyra: I’ll try to go to the meetings
619 01:00:13.630 ⇒ 01:00:17.039 Amber Lin: Okay, sounds good. So should we
620 01:00:17.400 ⇒ 01:00:24.390 Amber Lin: have the morning meeting, for with Casey the planning meeting, will he be able to make it? There
621 01:00:24.928 ⇒ 01:00:29.659 Miguel de Veyra: That one. I cannot speak for him. I can go, but I can’t tell him to go
622 01:00:29.660 ⇒ 01:00:34.959 Amber Lin: Okay, I see. Okay, that’s that’s good to know. I will ask him then.
623 01:00:36.522 ⇒ 01:00:38.169 Amber Lin: Let me ping him
624 01:00:39.510 ⇒ 01:00:41.300 Uttam Kumaran: Okay, I got, I have to jump guys.
625 01:00:41.300 ⇒ 01:00:47.919 Amber Lin: Yeah, I think that’s that’s all for today. Until when you get a chance, just review review those tickets and
626 01:00:48.220 ⇒ 01:00:50.180 Amber Lin: I’ll book the call with sales
627 01:00:50.730 ⇒ 01:00:51.799 Uttam Kumaran: Okay. Okay. Cool.
628 01:00:52.110 ⇒ 01:00:53.280 Amber Lin: Sounds good.
629 01:00:53.990 ⇒ 01:00:54.930 Amber Lin: Thank you.
630 01:00:54.930 ⇒ 01:00:56.310 Miguel de Veyra: Thanks. Guys have a good one.
631 01:00:56.660 ⇒ 01:00:57.400 Amber Lin: Bye.