Meeting Title: AI Team Retro Date: 2025-03-21 Meeting participants: Casie Aviles, Uttam Kumaran, Amber Lin


WEBVTT

1 00:01:21.510 00:01:26.750 Amber Lin: Hi, Casey, I’m just gonna wait for the others to join in

2 00:01:28.680 00:01:29.250 Casie Aviles: Sure.

3 00:04:27.560 00:04:30.369 Amber Lin: Do you know if John is coming today or

4 00:04:32.347 00:04:35.340 Casie Aviles: Oh, I’m not sure if she’s on.

5 00:04:38.860 00:04:41.079 Casie Aviles: let me let me tag her as well

6 00:04:42.050 00:04:45.209 Amber Lin: Yeah, I’m just texting in our chat.

7 00:06:33.340 00:06:40.000 Amber Lin: Well, okay, I guess it’s just us. We will talk talk a bit about.

8 00:06:40.290 00:06:41.890 Amber Lin: Well, we did this week.

9 00:06:42.750 00:06:47.729 Amber Lin: You’ve done so much stuff, and you’ve been up so late. It’s incredible

10 00:06:47.730 00:06:48.310 Casie Aviles: Yeah.

11 00:06:49.766 00:06:56.040 Amber Lin: And we have a demo later. Let me just

12 00:06:56.920 00:07:00.209 Amber Lin: share my screen and sort of run you through

13 00:07:00.890 00:07:03.819 Amber Lin: what what we’re going to show the client.

14 00:07:03.980 00:07:07.170 Amber Lin: I just wanna make sure, like, everything is up to date.

15 00:07:08.220 00:07:12.189 Amber Lin: So you have, is it in Google chat right now for for this one

16 00:07:13.940 00:07:19.510 Casie Aviles: Oh, junior assist? It is on Google Chat. But it’s

17 00:07:19.690 00:07:24.080 Casie Aviles: honestly, I think it’s not usable at the moment. There’s a lot of errors.

18 00:07:24.220 00:07:26.950 Casie Aviles: I’ve been running into a lot of yeah

19 00:07:27.460 00:07:28.260 Amber Lin: Okay.

20 00:07:28.600 00:07:30.470 Casie Aviles: So I’d be, yeah.

21 00:07:30.730 00:07:34.660 Amber Lin: Maybe this will still take 2 weeks or so. You think

22 00:07:38.040 00:07:45.329 Casie Aviles: I’m not sure. But yeah, maybe next week I could work with Miguel. And hopefully, we can try to get it

23 00:07:45.460 00:07:47.269 Casie Aviles: working by next week.

24 00:07:48.920 00:07:49.640 Amber Lin: Sure.

25 00:07:49.790 00:08:00.049 Amber Lin: So I’m just gonna say, these 2 in progress, Hi, Utam

26 00:08:00.050 00:08:01.010 Uttam Kumaran: Hey!

27 00:08:03.090 00:08:04.176 Amber Lin: Good morning.

28 00:08:05.180 00:08:09.999 Amber Lin: Miguel’s not gonna be here, and I don’t think Jonna is here yet.

29 00:08:11.990 00:08:15.829 Uttam Kumaran: Okay, do we? Wanna do we still wanna do like a mini retro

30 00:08:16.020 00:08:18.540 Amber Lin: Yeah, that’s what I was. That’s what I thought

31 00:08:18.540 00:08:21.529 Uttam Kumaran: Okay, feel free to finish this up. And then, yeah, we can do that

32 00:08:22.070 00:08:30.363 Amber Lin: Just wanna check in on that. So that’s great. I’ll just say we’re integrating we. I won’t say we’ve integrated I’ll just say it’s still going on.

33 00:08:31.400 00:08:37.619 Amber Lin: and the real dashboard is still in 2 dashboards. Right, Casey

34 00:08:38.700 00:08:39.039 Casie Aviles: Yeah.

35 00:08:39.469 00:08:40.989 Amber Lin: Okay, that’s good.

36 00:08:42.544 00:08:44.689 Amber Lin: Have that that

37 00:08:48.119 00:08:49.419 Amber Lin: said.

38 00:08:52.699 00:09:02.949 Amber Lin: okay, yeah, that’s all for this. I’m gonna go to this board.

39 00:09:03.189 00:09:05.969 Amber Lin: Let me share this link

40 00:09:06.360 00:09:11.519 Uttam Kumaran: Is and is. And is this retro template like? Is this available to all teams?

41 00:09:11.910 00:09:17.979 Amber Lin: This is just fixed Jam’s template. This is not my template. So yes, it is available. Every team

42 00:09:18.340 00:09:19.160 Uttam Kumaran: Okay, cool.

43 00:09:19.990 00:09:23.190 Uttam Kumaran: We do have a retro template, though.

44 00:09:23.432 00:09:24.890 Amber Lin: Is the same as the physical

45 00:09:24.890 00:09:26.169 Uttam Kumaran: Oh, okay. Cool, alright.

46 00:09:26.910 00:09:27.510 Uttam Kumaran: Great. Great. Okay.

47 00:09:28.410 00:09:32.500 Amber Lin: I sent it in the chat so we could just go there and

48 00:09:32.630 00:09:33.510 Uttam Kumaran: Cool.

49 00:09:33.890 00:09:34.570 Amber Lin: No.

50 00:09:42.060 00:09:45.520 Amber Lin: now let me just delete the previous ones.

51 00:10:00.250 00:10:04.060 Amber Lin: Just feel free to put in.

52 00:10:05.230 00:10:08.020 Amber Lin: Put it in stickies.

53 00:10:08.600 00:10:17.120 Amber Lin: I’ll set a timer of 4 min, and then we can make sure afterwards.

54 00:10:21.490 00:10:27.359 Casie Aviles: This is my 1st time doing this. So we just write the problems. And then what went well right in each sticky note

55 00:10:27.360 00:10:34.860 Amber Lin: Yeah, yeah. Just drag a sticky note into the section and just write what you think went. Well.

56 00:14:17.370 00:14:17.940 Amber Lin: thanks

57 00:14:22.060 00:14:23.000 Uttam Kumaran: Okay. Cool.

58 00:14:23.350 00:14:39.340 Amber Lin: Yeah, let’s go over the different blocks. And then we can as a group write down, okay, what are our learnings and action items? So what went well, we have. Janice is gonna join. And also we have phase 2

59 00:14:39.880 00:14:49.730 Amber Lin: in discussion. That’s good. Finally, some progress on that. And we did. We did do quite a bit, and especially I think we’ve ramped. We ramped up

60 00:14:50.090 00:14:53.869 Amber Lin: pretty well the from Wednesday to Thursday.

61 00:14:54.650 00:15:02.690 Amber Lin: and we and and I know Casey, I think you wrote we learned real and got some dashboards

62 00:15:02.910 00:15:07.820 Amber Lin: that’s really good. And then Utam went and met the client in person.

63 00:15:08.210 00:15:11.699 Amber Lin: Anything else that we think went well this week

64 00:15:14.487 00:15:19.160 Uttam Kumaran: Yeah, I love that. Janice is joining as product owner.

65 00:15:19.870 00:15:22.269 Uttam Kumaran: I think this is gonna be a huge

66 00:15:22.940 00:15:27.120 Uttam Kumaran: change to the pace, but also like prioritization.

67 00:15:27.230 00:15:32.319 Uttam Kumaran: It’s sort of like what they say, which is like. You hear it directly from what I say. The horse’s mouth.

68 00:15:32.961 00:15:47.889 Uttam Kumaran: A little bit rude, but what I’m saying is that you? You hear directly from them what needs to work. I would bring Yvette or Matt or Steven in, but they’re busy, right? So they’re very similar to me in that I can’t be in every stand ups Janice can. And Yvette really

69 00:15:48.080 00:15:50.550 Uttam Kumaran: told me that. So I’m I’m really excited

70 00:15:51.260 00:15:52.240 Amber Lin: That’s great.

71 00:15:54.200 00:15:56.710 Amber Lin: So we will.

72 00:15:57.440 00:16:02.960 Amber Lin: But have you talked to your friend about how to balance clients in stand-ups?

73 00:16:04.880 00:16:11.879 Uttam Kumaran: no, I’m going. I will reach out to him and see if he has. You know a little bit of time to to talk.

74 00:16:12.330 00:16:15.960 Uttam Kumaran: Sure, that’s a good action item. If you can keep that somewhere there

75 00:16:31.390 00:16:32.440 Amber Lin: And I think.

76 00:16:32.550 00:16:39.030 Amber Lin: looking at the problems that we faced. Oh, why do we have more problems that went with? Well.

77 00:16:41.620 00:16:43.199 Uttam Kumaran: That’s always gonna be the case.

78 00:16:43.620 00:16:45.699 Uttam Kumaran: We want to win, you know. So

79 00:16:48.710 00:16:49.570 Amber Lin: Hmm.

80 00:16:51.680 00:17:03.989 Amber Lin: okay, let’s go over them one by one. So from pro 5 priorities a week to, I think this week we were doing. Say the the

81 00:17:04.150 00:17:10.090 Amber Lin: trainer agent. We were doing the voice, and then we had to do real, and then we had to do the

82 00:17:10.579 00:17:24.709 Amber Lin: the evaluation sheet. So yes, it was all over the place, and but it sort of went as in Monday and Tuesday we were focused on these 2 things, and then Wednesday and Thursday we were focused on the different 2 things.

83 00:17:25.180 00:17:28.549 Amber Lin: So any more comments from you, Utop, I want to hear from you

84 00:17:30.370 00:17:37.590 Uttam Kumaran: yeah, I think like, when I sort of tapped back in on Wednesday we had finished the voice spot.

85 00:17:37.740 00:17:45.889 Uttam Kumaran: and there’s a couple of other tickets. But we still didn’t do the 2 things that were number one in my mind, you know. And so that that was for me.

86 00:17:46.050 00:17:53.810 Uttam Kumaran: Okay, an indication of it’s not that we’re not working. It’s just that we need to continuously focus on the one or 2 critical paths.

87 00:17:54.590 00:17:55.190 Amber Lin: Thank you.

88 00:17:55.630 00:18:03.209 Uttam Kumaran: And you know that also goes to my my other point, which is, we’re spending too much time on the client overall

89 00:18:04.375 00:18:05.140 Amber Lin: Like

90 00:18:05.140 00:18:09.440 Uttam Kumaran: From our estimates, we should have been ready with this.

91 00:18:09.560 00:18:13.770 Uttam Kumaran: And so what that’s causing is that everything like.

92 00:18:14.200 00:18:23.290 Uttam Kumaran: for example, we I you know, you message that Jana is working on stuff internally, but I haven’t heard a single thing this week since she sent a note

93 00:18:23.400 00:18:26.510 Uttam Kumaran: about what’s happening with internal agent work.

94 00:18:27.262 00:18:30.970 Uttam Kumaran: Right? So my assumption is that nothing’s happening there.

95 00:18:31.375 00:18:36.390 Uttam Kumaran: And that’s a huge loss, because we have a ton of internal work that needs to happen.

96 00:18:36.935 00:18:40.599 Uttam Kumaran: Also, you know, and I gave this feedback to Miguel is that

97 00:18:40.860 00:18:49.449 Uttam Kumaran: he’s spending too much time here right like I would say he’s spending all this time on ABC, so and that can’t happen like we just don’t have the

98 00:18:49.590 00:18:59.370 Uttam Kumaran: we need. I need this time to help with sales with planning internally. And so I give him that feedback directly. And so this is where I think

99 00:18:59.910 00:19:08.780 Uttam Kumaran: we just, you know, as we go forward, this is just one client. Right? But if we have 3 people, Amber and Patrick.

100 00:19:08.900 00:19:15.120 Uttam Kumaran: we’re not making enough money to sustain that level of effort on this, and, in fact, I don’t think we even

101 00:19:15.380 00:19:22.030 Uttam Kumaran: like there. If we were to just get the one or 2 things done per week, that’d be fine like we don’t need to do 5 things per week.

102 00:19:22.567 00:19:29.170 Uttam Kumaran: And I think that’s that’s something that we need to align with starting next week, which is how much time is going to

103 00:19:29.350 00:19:47.788 Uttam Kumaran: the internal and external. And and it’s also clear that you know I don’t think Jana is like can can maintain her own roadmap right? And so I think she does need support and Pm. Work on the internal AI side, and I’m sort of relying on Miguel to sort of help me there.

104 00:19:48.130 00:19:49.190 Amber Lin: I see.

105 00:19:52.330 00:20:03.709 Uttam Kumaran: Is, are my hypothesis. Is that right cause? I know we were just working on this mixed panel thing. But like I’m telling you or Casey, like I feel like you guys would have done that in an hour. So I don’t know what we spent a week on there

106 00:20:05.530 00:20:14.679 Amber Lin: Yeah, I think for Jonah. I I asked her when it was on Wednesday. Maybe she could help with the ABC stuff.

107 00:20:14.980 00:20:26.179 Amber Lin: but I think she was able to scrape the other website and then plug it into play, though I do agree that it does seem like more of a 2 h per day type.

108 00:20:26.390 00:20:27.220 Amber Lin: but again

109 00:20:27.220 00:20:29.379 Uttam Kumaran: I guess. Let me even ask about that is like.

110 00:20:29.810 00:20:35.690 Uttam Kumaran: Did Robert end up saying, Hey, this works? I I this is the. This is this is exactly what I needed like, did we get?

111 00:20:36.330 00:20:38.200 Uttam Kumaran: Did we get that approval from him?

112 00:20:38.540 00:20:47.560 Amber Lin: We’re mixed panel. Yes, and for the new agent haven’t haven’t been able to update robbery yet, because I wanted to hurt to put it in clay 1st

113 00:20:48.300 00:20:52.700 Uttam Kumaran: So that’s what I’m saying is like, I still don’t think this is. That’s a week’s worth of work.

114 00:20:53.020 00:20:54.769 Amber Lin: I agree, I totally agree

115 00:20:55.340 00:20:56.130 Uttam Kumaran: Like.

116 00:20:56.320 00:21:03.690 Uttam Kumaran: So I think, yeah, I I just think we, I want to be spending like, I want our time to be like

117 00:21:04.490 00:21:11.649 Uttam Kumaran: 60 40 internal ABC, like, we just don’t have enough. We can’t dedicate our entire team’s resources here.

118 00:21:12.428 00:21:18.760 Uttam Kumaran: So I’m gonna probably start to put a hard line there, because, like

119 00:21:19.000 00:21:22.420 Uttam Kumaran: we’re not, we’re not making any progress intern like internally

120 00:21:22.420 00:21:23.370 Amber Lin: And 4, 40,

121 00:21:23.370 00:21:24.920 Uttam Kumaran: Know internally, like meaning

122 00:21:25.550 00:21:33.339 Uttam Kumaran: we have, we have. We have 3 people, including me and you, Amber, that are on this team. Nobody is working on internal stuff.

123 00:21:34.000 00:21:59.730 Uttam Kumaran: right? Like I don’t even the stuff for mixed panel for Robert like again. That is a 1 day right like, I think. Probably the reason Janet continued on, it is because she probably hit some roadblock, but maybe she could have probably gotten some consult from Casey or Miguel, or we could have been or like. Did we even know Robert wanted us to go the distance there like I would. I’m telling you if you asked Robert. Hey, this is, gonna take a week to do, he would have said, Don’t do it.

124 00:22:02.230 00:22:05.360 Amber Lin: Right. And so those are the things that I think about, which is

125 00:22:05.740 00:22:14.050 Uttam Kumaran: Similarly, are we working on the most critical thing? And I definitely think for the last few weeks we haven’t made any progress on the internal AI work.

126 00:22:14.330 00:22:17.669 Uttam Kumaran: which is like, really, really something we we need

127 00:22:20.590 00:22:25.060 Amber Lin: That’s really, that’s really important. And I’m writing it down.

128 00:22:25.650 00:22:27.790 Amber Lin: Oh.

129 00:22:31.540 00:22:36.559 Amber Lin: yeah. And on that I think next week’s planning, I think we could do

130 00:22:37.128 00:22:45.499 Amber Lin: half for ABC and half. I do want to groom the backlog for internal stuff and decide on what we’re gonna work with next.

131 00:22:45.620 00:22:47.450 Amber Lin: So that would be next week.

132 00:22:54.430 00:22:55.210 Uttam Kumaran: Yes.

133 00:23:06.680 00:23:13.189 Amber Lin: And I think another important part on that is, I want to understand how much.

134 00:23:13.590 00:23:22.580 Amber Lin: essentially, how much time people have and how efficient they can be with the time, because I know Jenna has around 20 h. But I think

135 00:23:22.690 00:23:28.449 Amber Lin: her 20 h is different than Casey and Miguel’s 20 h.

136 00:23:28.860 00:23:33.379 Amber Lin: So I just wanna I just wanna hear from you, Casey, what do you estimate

137 00:23:35.460 00:23:42.260 Amber Lin: Say equivalent of your one hours? How much should I expect it from Jana, or, say Miguel

138 00:23:46.390 00:23:49.290 Casie Aviles: Oh, wait! Sorry! Can you? Can you repeat that

139 00:23:49.290 00:23:54.579 Amber Lin: I’m sorry. That was very confusing. Do you have like 20 HA week, or 40 HA week?

140 00:23:55.240 00:23:57.060 Casie Aviles: Oh, I have 4 people

141 00:23:57.750 00:24:00.520 Amber Lin: Okay. I think Miguel has that, too.

142 00:24:01.410 00:24:03.970 Uttam Kumaran: So Jana is, only I think Jana is only a 20, though

143 00:24:03.970 00:24:06.020 Amber Lin: 20. Yeah. Sorry I typed it wrong.

144 00:24:06.020 00:24:06.700 Uttam Kumaran: Yeah.

145 00:24:06.900 00:24:17.150 Amber Lin: 20 h, and I would say, to make it a unit measure, I probably would expect

146 00:24:17.640 00:24:24.320 Amber Lin: her speed to be half of Casey and Miguel’s like. Do you think that’s a fair estimate

147 00:24:24.520 00:24:30.399 Uttam Kumaran: I think it’s probably you should ask. You should ask Miguel. He’s gonna be able to give you the best.

148 00:24:30.710 00:24:32.569 Uttam Kumaran: Okay, okay, I will look at that

149 00:24:35.800 00:24:47.200 Amber Lin: Perfect. Then my clients confused on yeah, the the technical problems.

150 00:24:47.820 00:24:52.880 Amber Lin: Okay. So let’s go to the the 4 other ones. I think essentially.

151 00:24:53.130 00:25:03.959 Amber Lin: Casey, you and I had the same. The same problem of I got really. It just slipped my mind like to be honest. It slipped my mind, and I think it was because

152 00:25:04.090 00:25:10.180 Amber Lin: it didn’t become as apparent to me in the meeting. And I wasn’t that focused on

153 00:25:10.460 00:25:22.550 Amber Lin: just thinking in the mind of the client. So I think that’s 1 of the reasons why the events and the real dashboard slip, because I was so focused on. Okay, I’m gonna get this bot to work.

154 00:25:22.850 00:25:28.720 Amber Lin: So it was really helpful to hear from like, oh, this is the most important thing the client wants right now

155 00:25:38.320 00:25:45.910 Amber Lin: any advice on that end of, say, related to what happened with the Evals this week.

156 00:25:46.380 00:25:48.150 Amber Lin: The veils in the dashboard

157 00:25:48.330 00:25:56.120 Uttam Kumaran: Yeah, I mean, I just think like, if you have 10 priorities, you wake up and you don’t know what to do. So every day we need to wake up and be like

158 00:25:56.700 00:26:03.060 Uttam Kumaran: like. And this is across all teams, right? Like we cannot be working. There’s no team that should be working on 5 things in parallel.

159 00:26:03.210 00:26:08.600 Uttam Kumaran: There are not. There’s not a single client with 5 parallel priorities

160 00:26:09.260 00:26:27.709 Uttam Kumaran: like I can’t name one, but I know that there are many clients where we are looking at 5 priorities. And so this is where, as a Pm. I’m expecting the Pm. Team to say, what is the one or 2 things that need to happen for this to move forward. Otherwise the engineers.

161 00:26:28.310 00:26:32.520 Uttam Kumaran: the engineers, are beholden to what? What needs to happen for the project.

162 00:26:32.680 00:26:44.169 Uttam Kumaran: and if we say the voice is important, it’s important. But the voice, even if the voice didn’t get done this week, nothing would have happened right and I. And the thing is, I know it’s maybe flashy, and it’s what we want to work on. But

163 00:26:44.300 00:26:55.690 Uttam Kumaran: we didn’t need to do that. And so that’s where I I want to push and say we, if we wake up in the morning and you’re like you’re the one or 2 things we need to do. It needs to be super super clear

164 00:26:56.237 00:27:05.129 Uttam Kumaran: and everything else needs to get pushed and managed in the backlog right, and our ability to forecast. The backlog allows us to buy time to do those.

165 00:27:07.220 00:27:11.779 Uttam Kumaran: And additionally, I really want this team to spend more time on internal work

166 00:27:12.315 00:27:15.560 Amber Lin: Because we have so much low hanging fruit

167 00:27:15.900 00:27:24.390 Uttam Kumaran: Like AI agent work that we need to do and right now we have all of our AI talent is stuck on this project

168 00:27:24.630 00:27:33.349 Uttam Kumaran: right? And this project, we’re we’re basically like at, we’re at the finish. We’re like close to like the finish line, like, there are optimizations

169 00:27:34.650 00:27:40.719 Uttam Kumaran: Patrick between Patrick and probably part of Casey’s time. I feel like we can accomplish all that

170 00:27:42.440 00:27:44.450 Amber Lin: Like. I don’t think we need

171 00:27:44.640 00:27:49.249 Uttam Kumaran: I don’t think we need 60 HA week on this. I think we probably need something close to 30

172 00:27:50.920 00:27:54.420 Uttam Kumaran: Is, is my guidance right? And to give you a sense of how that breaks down.

173 00:27:54.610 00:28:03.489 Uttam Kumaran: I expect Miguel to work with you on creating the backlog for both ABC. And for internal work.

174 00:28:03.850 00:28:04.670 Uttam Kumaran: Right?

175 00:28:04.810 00:28:11.909 Uttam Kumaran: Miguel is like the engineering leader here, so he can tell you the estimates. He can tell you what goes into it.

176 00:28:12.420 00:28:30.430 Uttam Kumaran: And I will work with you guys to tell you more ideas to work on. But we already have a hundred things that we need to work on. So I’m more concerned about building a backlog and starting to work on things both internally, externally. Additionally, my ask for this week is that we find a way to just spend

177 00:28:31.330 00:28:39.139 Uttam Kumaran: whatever amount of Patrick’s time on optimizations, and Miguel can help Casey sort of ticket out things. He needs to work on.

178 00:28:39.260 00:28:44.690 Uttam Kumaran: But we really need to scale this team’s time up to go work on internal stuff. For sure.

179 00:29:07.090 00:29:12.920 Amber Lin: oh, that’s that’s really helpful. And then we’ll get started on that next week.

180 00:29:14.298 00:29:21.069 Amber Lin: okay, so you also mentioned here, that there’s some technical problems with integrating the trainer, assist bot

181 00:29:23.336 00:29:26.109 Casie Aviles: Yeah, but it, I guess it’s more just

182 00:29:26.590 00:29:29.760 Casie Aviles: focus on that. So I I don’t really have any

183 00:29:30.640 00:29:33.669 Casie Aviles: like like a bigger picture on

184 00:29:34.070 00:29:41.034 Casie Aviles: this. But yeah, it’s more like, just, I guess, to due to a lack of familiarity with with

185 00:29:42.650 00:29:48.760 Casie Aviles: yeah, with the system like how it works how to integrate, and then also with the existing work with

186 00:29:49.090 00:29:51.249 Casie Aviles: the NA. 10 agent that we have

187 00:29:51.540 00:29:55.470 Amber Lin: So, yeah, that was, I guess the challenge was getting both of those

188 00:29:55.950 00:29:58.250 Casie Aviles: To work together. But yeah.

189 00:29:58.700 00:30:05.989 Amber Lin: I see. Is there anyone that could help you with this? Does Miguel know something about this? Does Patrick know something about this

190 00:30:08.355 00:30:18.319 Casie Aviles: I think maybe Miguel could help with the bot, since he was mainly responsible for the implementation of the assist bot trainer, assist bot

191 00:30:18.540 00:30:19.380 Amber Lin: Huh?

192 00:30:20.320 00:30:23.569 Amber Lin: So let’s see, let’s say, the next week we

193 00:30:23.680 00:30:26.880 Amber Lin: ask him to give some guidance on that

194 00:30:32.370 00:30:33.970 Amber Lin: 3.

195 00:30:38.290 00:30:44.579 Amber Lin: Okay, and that’s all. Anything else.

196 00:30:45.840 00:30:47.120 Amber Lin: Oh, and

197 00:30:47.310 00:30:54.000 Amber Lin: Utah on Patrick’s side. I think he’s just. He’s been really busy. I don’t think there’s been significant

198 00:30:54.480 00:31:10.649 Amber Lin: on Thursday, when I asked him. I don’t think, he said. There’s nothing on his end since last week, so I would check because I don’t have a way to check. But maybe you could check. How long he has worked on this project, because the updates gave was from last week

199 00:31:13.150 00:31:21.310 Uttam Kumaran: Yeah, he messaged me, saying he’s he’s busy this week, he said. He may free up towards the end of the week, but this is just where, again, on our planning side.

200 00:31:21.890 00:31:26.000 Uttam Kumaran: we just need to get a little bit tighter on like, okay, if he’s if he was out this week.

201 00:31:26.710 00:31:45.670 Uttam Kumaran: Then who’s gonna take that work, or does that get pushed and like? I don’t even know what, how much the the work that he took on is like critical. So that’s fine, like I I mean, he messaged me that he’s gonna be out. I was like, we’ll just message amber like, I’m not really. I’m not in there. So again, I just want to know, okay, if he’s out.

202 00:31:46.230 00:31:49.139 Uttam Kumaran: then what happens? If if his item gets

203 00:32:01.180 00:32:05.620 Amber Lin: sorry. Did. Did your mic. Cut out

204 00:32:06.395 00:32:07.189 Uttam Kumaran: No, I just

205 00:32:07.190 00:32:09.319 Amber Lin: Oh, okay, okay, that’s good.

206 00:32:09.530 00:32:16.350 Amber Lin: And so planning for that. And okay.

207 00:32:18.120 00:32:25.889 Amber Lin: sounds good. We have quite a bit. We’re quite a bit of action items to work on. I just want to put, say, who’s responsible?

208 00:32:26.090 00:32:30.320 Amber Lin: Just to who to take ownership over what I think.

209 00:32:31.900 00:32:32.980 Amber Lin: Here

210 00:32:38.230 00:32:44.920 Amber Lin: think the middle few things are mine.

211 00:32:46.160 00:32:52.960 Amber Lin: These half is my most of them is for me.

212 00:32:55.650 00:33:00.260 Amber Lin: I think that most of them is for me so

213 00:33:03.790 00:33:08.840 Uttam Kumaran: I mean. But again, this is like this is on our team like I. I don’t think this is where

214 00:33:09.030 00:33:12.909 Uttam Kumaran: I think for Casey. And I’m gonna tell this to other teams, too, is that

215 00:33:13.070 00:33:30.309 Uttam Kumaran: this is not just on the Pm. There are items here that everybody knew, like I’m probably at the moment the least involved in ABC work. And I knew all these things. What about the folks that have been working on this client? You know what the one or 2 things we have to do to get it out right. Like

216 00:33:30.560 00:33:43.999 Uttam Kumaran: everybody’s an engineer. I don’t. We don’t need to coddle everybody right. You, we all know, hey, we need to get the emails have been sitting there. There’s no data in the dashboards. Nobody’s looking at the dashboards. That’s like a huge red flag.

217 00:33:44.410 00:33:51.170 Uttam Kumaran: I don’t need to tell everybody that right? And so this is where it’s not just on the Pm. It’s on the whole team

218 00:33:51.340 00:33:54.739 Uttam Kumaran: right. And we as a group, we need to get

219 00:33:55.000 00:34:05.080 Uttam Kumaran: stronger to wake up and understand what is critical for this team. Additionally, I know Casey knows. I know, Miguel, know that we haven’t made much progress in internal agents.

220 00:34:05.210 00:34:06.489 Uttam Kumaran: Right? I

221 00:34:06.640 00:34:13.259 Uttam Kumaran: guarantee you. If I called Casey and was like, Hey, we’re not making much progress. Right? He would. Said, yes, right, Casey

222 00:34:13.780 00:34:14.620 Casie Aviles: Yeah.

223 00:34:14.820 00:34:29.199 Uttam Kumaran: Yeah. So we all know it. That’s what I’m saying. I know we know. And but my point here is not. It’s not a blame one person or the other. This is for us as a team to figure out right everybody’s hours. Who’s best at what that’s that’s

224 00:34:29.449 00:34:32.339 Uttam Kumaran: that’s like we need to figure that out as a group

225 00:34:32.864 00:34:40.259 Uttam Kumaran: and we need to divide our time up to be most effective for our company and our clients. And so this is totally a team team effort here.

226 00:34:40.460 00:34:50.989 Uttam Kumaran: Right? I want to see everyone sort of question why, we’re spending time on different areas and how we can be more effective. This doesn’t this? This shouldn’t just land on me, and it shouldn’t just land on amber

227 00:35:04.930 00:35:13.460 Amber Lin: Thank you, I think, for next next Monday. There’s quite a bit of stuff we wanna do.

228 00:35:13.800 00:35:17.149 Amber Lin: Let’s see how long the meetings last day.

229 00:35:25.160 00:35:34.869 Amber Lin: okay, for next Monday. I’m gonna move our meeting 30 min earlier, so we can have, say, 30 min to an hour of time to do planning

230 00:35:35.701 00:35:41.430 Amber Lin: right now it’s at 7 Am. My time. So I’m gonna move it to 6 30 in my time.

231 00:35:42.200 00:35:46.100 Amber Lin: and so we’ll have a little bit more breathing room there.

232 00:35:50.150 00:35:57.109 Amber Lin: Okay, team. Anything else on on this?

233 00:36:10.980 00:36:11.680 Amber Lin: Okay?

234 00:36:12.120 00:36:17.770 Amber Lin: Sounds good. If not, I think I’ll just see you guys at the choir meeting

235 00:36:18.030 00:36:18.670 Uttam Kumaran: Okay.

236 00:36:18.910 00:36:19.670 Uttam Kumaran: Thank you.

237 00:36:20.370 00:36:21.699 Uttam Kumaran: Bye. Thank you.

238 00:36:21.700 00:36:22.310 Casie Aviles: That’s