Meeting Title: ABC onsite Defrief Date: 2025-04-29 Meeting participants: Uttam Kumaran, Amber Lin
WEBVTT
1 00:01:31.890 ⇒ 00:01:32.840 Uttam Kumaran: Okay.
2 00:01:33.270 ⇒ 00:01:34.240 Amber Lin: Oh!
3 00:01:34.240 ⇒ 00:01:35.190 Uttam Kumaran: Hello!
4 00:01:36.000 ⇒ 00:01:40.030 Amber Lin: Okay, you’re gonna be talking a lot. Do you want to go on a little walk? I know.
5 00:01:40.030 ⇒ 00:01:41.809 Uttam Kumaran: I just did. I was just on a walk.
6 00:01:41.810 ⇒ 00:01:43.829 Amber Lin: Okay, awesome. That’s good.
7 00:01:45.550 ⇒ 00:01:51.550 Uttam Kumaran: But let’s yeah, do you? So do you have my I sent.
8 00:01:51.550 ⇒ 00:01:53.969 Amber Lin: Where you sent the granola notes to.
9 00:01:54.317 ⇒ 00:01:58.839 Uttam Kumaran: I sent it in the ABC. Home here. I’ll tag you in these.
10 00:01:58.840 ⇒ 00:01:59.450 Amber Lin: Yeah.
11 00:01:59.450 ⇒ 00:02:00.310 Uttam Kumaran: Oh, yeah.
12 00:02:00.790 ⇒ 00:02:06.399 Amber Lin: So if you have that, then we can just go over some high level stuff. I’ll I’ll go dig in the transcripts
13 00:02:06.870 ⇒ 00:02:10.460 Amber Lin: like, just give me a framework that I need to ask you.
14 00:02:10.460 ⇒ 00:02:17.720 Uttam Kumaran: Do you want to? Just like, take 2 seconds. And actually here, I’m just gonna I’ll tag you. Do you want to just take 2 seconds, and throw this.
15 00:02:17.850 ⇒ 00:02:20.380 Uttam Kumaran: Throw both of these into AI.
16 00:02:20.770 ⇒ 00:02:21.390 Amber Lin: Sure.
17 00:02:21.390 ⇒ 00:02:26.949 Uttam Kumaran: And then we can just like, do your magic about putting together that like thing. And and I can talk about it.
18 00:02:29.540 ⇒ 00:02:32.429 Amber Lin: That’s so. That’s 1.
19 00:02:32.540 ⇒ 00:02:34.140 Amber Lin: There’s another one right.
20 00:02:34.140 ⇒ 00:02:36.100 Uttam Kumaran: I tag you in it as well. Yeah.
21 00:02:50.290 ⇒ 00:02:55.539 Amber Lin: Okay. I saw the one I saw the one with your Virginese and tear.
22 00:02:55.710 ⇒ 00:02:57.740 Amber Lin: That’s not the only one right.
23 00:03:06.340 ⇒ 00:03:08.069 Uttam Kumaran: no, that’s there’s 2 of them.
24 00:03:08.540 ⇒ 00:03:09.250 Amber Lin: Hmm!
25 00:03:11.120 ⇒ 00:03:17.270 Amber Lin: I only see one. Let me go find another 1. 0, 0, there we go! There we go! That’s good.
26 00:03:19.083 ⇒ 00:03:20.909 Amber Lin: Csr interviews.
27 00:03:23.040 ⇒ 00:03:24.020 Amber Lin: So, oops!
28 00:03:25.260 ⇒ 00:03:27.550 Amber Lin: What did we? What did you want me to do about.
29 00:03:28.209 ⇒ 00:03:32.950 Uttam Kumaran: I know that you typically throw all those into like a summary and basically like, create a little like
30 00:03:34.930 ⇒ 00:03:36.219 Uttam Kumaran: agenda thing.
31 00:03:36.220 ⇒ 00:03:39.330 Amber Lin: How do I? Because this is your link.
32 00:03:39.710 ⇒ 00:03:42.670 Uttam Kumaran: Oh, you want me to send you the transcript link. Yeah.
33 00:03:42.920 ⇒ 00:03:50.029 Uttam Kumaran: Oh, yeah, this is so dumb dude. This is why, like I really want. I really thought we would have built this by now, but we just didn’t finish it yet.
34 00:03:50.390 ⇒ 00:03:51.259 Uttam Kumaran: Oh, that’s good.
35 00:03:51.260 ⇒ 00:03:56.049 Amber Lin: Like. If you go to our Zoom Meeting you can download the Transcript.
36 00:03:57.550 ⇒ 00:04:00.450 Uttam Kumaran: No, I know, and but for us it works.
37 00:04:00.610 ⇒ 00:04:01.400 Amber Lin: Yes.
38 00:04:01.530 ⇒ 00:04:10.290 Uttam Kumaran: But like, that’s why we we I wanna basically like, stop using granola once we finish building it. Because I mean, but Granola is helpful for non slack meetings, but.
39 00:04:10.530 ⇒ 00:04:11.350 Amber Lin: Yeah.
40 00:04:11.665 ⇒ 00:04:16.120 Uttam Kumaran: Okay, let me just send you this 1 1.st
41 00:04:18.779 ⇒ 00:04:23.459 Amber Lin: Just copy and paste paste it in our yeah.
42 00:04:24.150 ⇒ 00:04:24.690 Uttam Kumaran: Okay.
43 00:04:24.690 ⇒ 00:04:25.340 Amber Lin: Sorry
44 00:05:22.810 ⇒ 00:05:26.059 Amber Lin: I do you. Okay, I got the transcripts. Thank you.
45 00:05:27.003 ⇒ 00:05:34.070 Amber Lin: I’m gonna put this into Gpt. And while you, while I do that? Do you want to just go over.
46 00:05:34.810 ⇒ 00:05:35.370 Uttam Kumaran: Yes.
47 00:05:35.370 ⇒ 00:05:38.180 Amber Lin: In your opinion, what’s the main stuff.
48 00:05:39.540 ⇒ 00:05:48.600 Uttam Kumaran: Yes. So I just sent you the second one, too. So yeah, I mean, I think, the biggest thing is, they’re just they’re just, I think there’s 2 things, one.
49 00:05:48.780 ⇒ 00:06:00.670 Uttam Kumaran: I think we should try to find out how we can run this like as lean as possible, which I think if we start to have those recurring meetings, then a lot of it is just associated with
50 00:06:02.390 ⇒ 00:06:07.590 Uttam Kumaran: like, basically a lot of this is just associated with. What do you call it? Like
51 00:06:08.080 ⇒ 00:06:26.949 Uttam Kumaran: just keeping things maintained? We’re not, gonna I think, the biggest thing for me and the conflict we have is like at the 6,500, or whatever it’s we just don’t make much money on it. So I sort of want to temper our like contributions until their usage goes up.
52 00:06:28.580 ⇒ 00:06:41.375 Uttam Kumaran: but I think you’re already on top of that. So that’s fine. I think. Yeah, they’re just like they’re just sort of like struggling with adding stuff to the dock and things like that. I think part of this is that
53 00:06:42.120 ⇒ 00:06:47.620 Uttam Kumaran: and maybe Janice isn’t being super. I think one thing is just have to be like very, very clear. There’s a very old business.
54 00:06:47.620 ⇒ 00:06:47.980 Amber Lin: Yes.
55 00:06:47.980 ⇒ 00:06:50.900 Uttam Kumaran: So it’d be super super crystal clear with like
56 00:06:51.010 ⇒ 00:06:53.689 Uttam Kumaran: how things work and repeat it often.
57 00:06:53.690 ⇒ 00:06:58.969 Amber Lin: Yeah, I realized that. So with, I think with Janice
58 00:06:59.120 ⇒ 00:07:03.210 Amber Lin: a lot of times, she’ll say, I think for me
59 00:07:03.360 ⇒ 00:07:22.934 Amber Lin: it’s a mechanism of saying, saying this as such a big thing. So it doesn’t seem like you’re not doing anything a lot of times, she’ll say, Oh, this is a problem. But it’s 1 problem that’s very minor. But she’ll say in a way that it looks like it’s really big. So I’ve learned that it’s how she kind of communicates.
60 00:07:23.250 ⇒ 00:07:23.960 Uttam Kumaran: Yes.
61 00:07:23.960 ⇒ 00:07:25.920 Amber Lin: But I
62 00:07:26.170 ⇒ 00:07:44.000 Amber Lin: we really need to like push on her. And I kind of started to like, look Yvette in to get Janice to do something. And it’s been working. Okay? So but it just it just means, unfortunately, if I will have to be involved in the loop. But that is their own organizational problems.
63 00:07:44.000 ⇒ 00:07:46.736 Uttam Kumaran: That’s fine. That’s fine. Yeah, I agree. I just think,
64 00:07:47.590 ⇒ 00:08:12.419 Uttam Kumaran: I just think we basically need to force them to do that. And I don’t want our success to be hinged on that. So we should just continue to flag that that was the big thing, I think from that meeting, I mean, I talked to Tim here and there. I don’t know. I feel things are going fine. We’ve probably moved fast in any vendor they’ve ever worked with. So like we don’t need to like. The urgency isn’t as high as before, meaning like we continue just going at the speed we’re going at.
65 00:08:12.934 ⇒ 00:08:23.629 Uttam Kumaran: They had some small stuff about like the acronyms and manually updating with the central Doc the other big piece. Oh, the other big piece. I basically wanted to do this like
66 00:08:23.770 ⇒ 00:08:26.020 Uttam Kumaran: document archive process.
67 00:08:26.250 ⇒ 00:08:27.279 Amber Lin: Thanks, all thanks.
68 00:08:27.280 ⇒ 00:08:28.470 Uttam Kumaran: Okay. Cool.
69 00:08:28.470 ⇒ 00:08:29.709 Amber Lin: That’s over there.
70 00:08:30.094 ⇒ 00:08:33.940 Amber Lin: That is also something that we’ll need a lot of help on their end.
71 00:08:34.820 ⇒ 00:08:40.869 Amber Lin: Yes, this week I have not had to assign our engineers anything.
72 00:08:41.090 ⇒ 00:08:54.379 Amber Lin: So I’m calling Annie in a bit later today. But she also has already had the progress figured out. So it’s just what can we improve a little bit more on the dashboard and prepare for Thursday? But.
73 00:08:54.710 ⇒ 00:09:00.369 Uttam Kumaran: But like where? But I guess my question is like, Where is the the training stuff is still in progress right?
74 00:09:00.600 ⇒ 00:09:01.550 Amber Lin: Yes, yes.
75 00:09:01.550 ⇒ 00:09:02.140 Uttam Kumaran: Okay. Okay.
76 00:09:02.140 ⇒ 00:09:04.810 Amber Lin: But we’re how do I say it?
77 00:09:05.383 ⇒ 00:09:13.260 Amber Lin: I’m prior. I’m letting the AI team just do. Yeah, we’re doing a lot on the AI team right now.
78 00:09:13.610 ⇒ 00:09:16.220 Amber Lin: And when a trainer bought
79 00:09:16.939 ⇒ 00:09:28.240 Amber Lin: I think we can push out a small update that’s essentially a ui that helps them format stuff. So that’s I think we’re gonna do that this week.
80 00:09:28.360 ⇒ 00:09:37.090 Amber Lin: And then, since we’re still planning out, okay, what are exactly the features we want, a lot of it is something I can do to go gather requirements.
81 00:09:37.350 ⇒ 00:09:41.120 Amber Lin: and then the engineering can push it out.
82 00:09:42.750 ⇒ 00:09:43.700 Uttam Kumaran: Cool. Okay.
83 00:09:43.860 ⇒ 00:09:48.780 Amber Lin: Yeah. And I remember you said you wanted it to be around 10 HA week.
84 00:09:48.950 ⇒ 00:09:52.589 Amber Lin: So this is the pace that we can do 10 HA week.
85 00:09:52.760 ⇒ 00:09:53.440 Uttam Kumaran: Cool.
86 00:09:57.280 ⇒ 00:10:08.109 Uttam Kumaran: Okay, that’s fine. I just that’s the push back. I need to hear, basically because I’m gonna go to them as part of this thing. And I’m gonna say, look at 60, at the 6,500 like
87 00:10:08.860 ⇒ 00:10:13.090 Uttam Kumaran: you may see that we have to slow down a little bit just because we’re
88 00:10:13.580 ⇒ 00:10:16.730 Uttam Kumaran: we’re running a business. But we’re so committed. And
89 00:10:17.170 ⇒ 00:10:25.439 Uttam Kumaran: like, this is the way we sort of measure as we as I think we’re, we’re sort of settled on how fast we’re moving, anyway, so I think they’ll be fine.
90 00:10:25.440 ⇒ 00:10:44.310 Amber Lin: So 65 for 10 HA week is probably a 5 point ticket each week, and another 5 h would be like, I’m communicating with a client getting the requirements, doing the other things, and well, like 3 or 4, 3 from me and 2 from Annie.
91 00:10:44.620 ⇒ 00:10:50.240 Amber Lin: like most of it is just meeting and roll out a lot of the Admin stuff.
92 00:10:51.380 ⇒ 00:10:53.290 Uttam Kumaran: Okay, perfect.
93 00:10:57.890 ⇒ 00:11:05.689 Uttam Kumaran: I think, in terms of Annie as well as we sort of like, once we finish out our okrs and stuff, we can. And once we have the data
94 00:11:05.890 ⇒ 00:11:12.080 Uttam Kumaran: from all these things, I may ask her to help visualize some of this in real on our linear tickets. Slack
95 00:11:12.240 ⇒ 00:11:13.260 Uttam Kumaran: all of that.
96 00:11:21.530 ⇒ 00:11:22.410 Uttam Kumaran: Oh.
97 00:11:22.910 ⇒ 00:11:26.609 Amber Lin: For Annie. She wants to learn more of
98 00:11:27.080 ⇒ 00:11:46.359 Amber Lin: data science. I think she wants to get stretch in that way of learning like predictive modeling and all that stuff, and I was telling her we have this full parse client that we said we want to do forecasting and modeling. It’ll be great if we get that from Dan, and just let Annie do it. So we don’t have to ask Bo to do it.
99 00:11:46.770 ⇒ 00:11:47.840 Amber Lin: because I think both.
100 00:11:47.840 ⇒ 00:11:48.420 Uttam Kumaran: I agree.
101 00:11:48.420 ⇒ 00:12:02.479 Amber Lin: On pretty similar levels. When it comes to predict modeling like, I can turn out what Will did, because I can follow a Jupiter nova tutorial and put it out. So it’s not that hard, but I know Annie wants to do it.
102 00:12:03.060 ⇒ 00:12:07.849 Uttam Kumaran: Yeah, I mean, we should find we should find a couple of ways. I mean I would love, for
103 00:12:08.050 ⇒ 00:12:11.610 Uttam Kumaran: I mean I would love for her to to help us even think about like
104 00:12:13.180 ⇒ 00:12:20.990 Uttam Kumaran: like, if we want to put out a a blog post about a particular data science thing we did, or if we want to put out a past case study.
105 00:12:21.150 ⇒ 00:12:24.260 Uttam Kumaran: Now, I think that may occupy a little bit of our time as well
106 00:12:24.800 ⇒ 00:12:26.980 Uttam Kumaran: that way she can do something in that world.
107 00:12:27.910 ⇒ 00:12:29.439 Uttam Kumaran: you know, in the short term.
108 00:12:30.581 ⇒ 00:12:38.189 Amber Lin: And I was telling her we have people. She was saying that she’s not that confident and do it, but she knows she wants to do it.
109 00:12:38.420 ⇒ 00:12:38.980 Uttam Kumaran: Okay.
110 00:12:38.980 ⇒ 00:12:45.169 Amber Lin: Wish that he had experience in that, and then told definitely. Pius knows how to do those stuff.
111 00:12:45.170 ⇒ 00:12:45.890 Uttam Kumaran: Yeah.
112 00:12:50.010 ⇒ 00:12:53.249 Amber Lin: Okay, I mean anything else from.
113 00:12:54.084 ⇒ 00:12:58.360 Uttam Kumaran: So that was just the 1st meeting. So.
114 00:12:59.160 ⇒ 00:13:02.139 Amber Lin: Well, I’ll copy. I’ll copy and paste. What tragic you gave.
115 00:13:02.140 ⇒ 00:13:11.910 Uttam Kumaran: Yeah. So I think those are all fine. Oh, by the way, they’re great. Yeah. So that’s all fine. Let me take them to the next one. So next one I actually met with, like the Csrs.
116 00:13:13.461 ⇒ 00:13:19.440 Uttam Kumaran: So 100%, you should see how we can get joy to help us with stuff
117 00:13:19.890 ⇒ 00:13:21.539 Uttam Kumaran: like, she’s amazing.
118 00:13:21.540 ⇒ 00:13:22.110 Amber Lin: Yeah.
119 00:13:22.550 ⇒ 00:13:23.829 Uttam Kumaran: She like loves the tool.
120 00:13:23.830 ⇒ 00:13:33.919 Amber Lin: I emailed her after the 1st week of the rollout, to essentially tell her, hey, I put you on the leaderboard and Matt, the Cfo asked about you.
121 00:13:34.270 ⇒ 00:13:35.210 Uttam Kumaran: No way.
122 00:13:35.210 ⇒ 00:13:40.929 Amber Lin: And I I was like, oh, I think 1st weekend you’re probably up for promotion soon.
123 00:13:40.930 ⇒ 00:13:43.200 Uttam Kumaran: Yeah, no, she’s crushing. And she’s actually very.
124 00:13:43.200 ⇒ 00:14:00.340 Amber Lin: So I do have some report with her. I also sent. I was talking with Janice this morning about okay, I want to do. Csr, Csr office hours. So right now, just asking you about, okay, what is the best time
125 00:14:00.570 ⇒ 00:14:04.159 Amber Lin: and trying to get that in.
126 00:14:05.060 ⇒ 00:14:07.449 Amber Lin: So a lot of non-engineering tasks.
127 00:14:10.340 ⇒ 00:14:14.590 Uttam Kumaran: Okay, yeah. The other feedback was, some people were just
128 00:14:15.350 ⇒ 00:14:22.159 Uttam Kumaran: some people they liked how much it was pushing the oh, by the ways they liked. That was conversational versus bullet points.
129 00:14:22.914 ⇒ 00:14:32.940 Uttam Kumaran: They want, they they. One thing that Debra asked is that if we could somehow understand that she’s been there for a long time, so that the answers are like
130 00:14:33.450 ⇒ 00:14:35.210 Uttam Kumaran: not as like Junior.
131 00:14:35.926 ⇒ 00:14:40.890 Amber Lin: On that one today? I asked Janice. Okay, can you
132 00:14:41.120 ⇒ 00:14:43.330 Amber Lin: mark? Because we have a list.
133 00:14:43.330 ⇒ 00:14:46.130 Uttam Kumaran: Oh, yeah, yeah, perfect. Just marked by their tenure.
134 00:14:46.410 ⇒ 00:14:51.200 Amber Lin: Yeah. And I need to push her on that I don’t think she has contact. Today.
135 00:14:52.740 ⇒ 00:14:54.280 Amber Lin: I’ll email you that, too.
136 00:14:55.540 ⇒ 00:15:08.039 Amber Lin: Lastly, I know, we’re probably gonna talk about this of the slack channels for the Csrs to have access in the problem is I asked Janice. Okay, do you guys use slack.
137 00:15:08.200 ⇒ 00:15:21.970 Amber Lin: and I don’t think their Csrs use slack. At least that’s what Janice told me. I take it, with a grain of salt. They are in Google chat very, very often. So I was, gonna ask you, what do you think? Should we use Google chat?
138 00:15:22.110 ⇒ 00:15:26.920 Amber Lin: But we do have all of our automations and stuff in slack.
139 00:15:27.170 ⇒ 00:15:27.760 Amber Lin: So.
140 00:15:27.760 ⇒ 00:15:33.829 Uttam Kumaran: I mean, I I think it’s it would be great if you can, if we could do slack.
141 00:15:34.340 ⇒ 00:15:41.140 Uttam Kumaran: because I basically want the team to start asking questions, and so we can skip
142 00:15:41.370 ⇒ 00:15:52.579 Uttam Kumaran: going from Janice or whatever, and start like seeing the feedback come in. And it doesn’t have to be something everybody’s in all day. It’s just that. Also, when there’s problems, it can get triage that way.
143 00:15:52.580 ⇒ 00:15:53.270 Amber Lin: Oh no!
144 00:15:53.270 ⇒ 00:15:58.119 Uttam Kumaran: Right, and like I I don’t know if they’re not. If they don’t care, then we should just propose slack
145 00:15:58.460 ⇒ 00:16:03.379 Uttam Kumaran: talk to Tim to get everybody in there and get everyone provisioned, and then
146 00:16:03.730 ⇒ 00:16:08.049 Uttam Kumaran: we just start a slack connect. That would be my preference.
147 00:16:08.170 ⇒ 00:16:09.860 Amber Lin: I prefer that too.
148 00:16:09.860 ⇒ 00:16:15.620 Uttam Kumaran: So that that way we can start to connect directly with folks in slack. They can alert us if there’s errors.
149 00:16:17.590 ⇒ 00:16:18.060 Amber Lin: Yeah.
150 00:16:18.060 ⇒ 00:16:24.830 Uttam Kumaran: Yeah, I don’t know like it is a little bit of a risk, but like, maybe it’s worth talking to Tim about, or we can bring it up on Friday.
151 00:16:24.980 ⇒ 00:16:27.359 Amber Lin: I think we should go ask
152 00:16:27.460 ⇒ 00:16:30.560 Amber Lin: the Csrs directly. I’ll try to email like.
153 00:16:30.740 ⇒ 00:16:34.590 Amber Lin: I’ll try to email Joy and Deborah to check with them.
154 00:16:35.457 ⇒ 00:16:41.330 Amber Lin: Because the management might be a bit different, because there is there totally different personality types.
155 00:16:42.860 ⇒ 00:16:43.650 Uttam Kumaran: Okay.
156 00:16:43.650 ⇒ 00:16:48.749 Amber Lin: Yeah, I’ll see what we can do with that. I’ll set it. Well, I want to set that up soon.
157 00:16:49.450 ⇒ 00:16:50.950 Amber Lin: Okay.
158 00:16:58.090 ⇒ 00:16:59.920 Amber Lin: cool anything else.
159 00:17:06.859 ⇒ 00:17:08.319 Uttam Kumaran: let’s see.
160 00:17:13.930 ⇒ 00:17:21.109 Uttam Kumaran: Yeah, I mean, there was we had like a 10 min conversation. Is it misting or fogging? So there’s a lot of acronyms and thesaurus
161 00:17:21.369 ⇒ 00:17:22.210 Uttam Kumaran: stuff.
162 00:17:24.880 ⇒ 00:17:27.410 Amber Lin: Like they have to clarify all these things that.
163 00:17:27.410 ⇒ 00:17:36.939 Uttam Kumaran: I know, I know, I know. So I was like, yeah, it was. It was a lot of nodding and all being like, we’re gonna do all this stuff. Oh, and the everybody asked about the inspector sheets.
164 00:17:37.730 ⇒ 00:17:38.610 Amber Lin: Yeah.
165 00:17:40.432 ⇒ 00:17:45.220 Amber Lin: Can you tell me what their specific feedback is about for the inspector sheet.
166 00:17:45.720 ⇒ 00:17:50.319 Uttam Kumaran: Well, like, I think, basically, the feedback I got was that people were asking about
167 00:17:51.090 ⇒ 00:17:54.769 Uttam Kumaran: different types of, and I mean, we may have to go look at the questions.
168 00:17:54.930 ⇒ 00:18:02.879 Uttam Kumaran: but people were just saying that the inspector sheets like weren’t in there. I mean, let me let me ask Granola what was the problem.
169 00:18:02.880 ⇒ 00:18:09.640 Amber Lin: This morning I was like is our prompting saying that we should only limit it to Pest, he said. I don’t think so.
170 00:18:09.780 ⇒ 00:18:10.870 Amber Lin: so.
171 00:18:11.690 ⇒ 00:18:17.859 Uttam Kumaran: So basically, they said, Oh, yeah, like the feedback, there was difficulty tracking locations and schedules.
172 00:18:19.545 ⇒ 00:18:20.570 Uttam Kumaran: And
173 00:18:23.780 ⇒ 00:18:28.259 Uttam Kumaran: yeah, I don’t know. There’s just some problems around the inspector sheet. So I don’t know whether maybe it’s like.
174 00:18:28.370 ⇒ 00:18:33.629 Uttam Kumaran: just do a 30 min meeting on like, what are the current problems with the inspector sheets
175 00:18:34.800 ⇒ 00:18:37.050 Uttam Kumaran: sometime next week, like I don’t know.
176 00:18:38.790 ⇒ 00:18:41.470 Uttam Kumaran: Just close it out, because there’s like random problems with it.
177 00:18:41.470 ⇒ 00:18:42.480 Amber Lin: Yeah.
178 00:18:43.300 ⇒ 00:18:51.500 Amber Lin: because I don’t think it’s a like systematic problem. I don’t know. Yeah, we’ll need to figure it out. Okay, meet with
179 00:18:51.680 ⇒ 00:18:58.699 Amber Lin: in the on Inspector Sheet. Oh, I can also try astonish farm.
180 00:19:00.100 ⇒ 00:19:00.710 Uttam Kumaran: Okay.
181 00:19:01.810 ⇒ 00:19:02.590 Amber Lin: Awesome.
182 00:19:03.110 ⇒ 00:19:04.150 Amber Lin: Thank you.
183 00:19:04.860 ⇒ 00:19:06.570 Uttam Kumaran: I think that’s mainly it.
184 00:19:06.710 ⇒ 00:19:09.600 Amber Lin: Sure I know you have to jump in like 5 min.
185 00:19:11.060 ⇒ 00:19:13.920 Uttam Kumaran: Yes, I get to go on Twitter for a sec.
186 00:19:18.000 ⇒ 00:19:19.699 Uttam Kumaran: I get to get some water.
187 00:19:20.070 ⇒ 00:19:20.730 Amber Lin: It’s.
188 00:19:37.500 ⇒ 00:19:38.490 Uttam Kumaran: Okay.
189 00:19:39.340 ⇒ 00:19:45.969 Uttam Kumaran: well, I’m just reviewing all the marketing stuff. And yeah, otherwise, it’s been a really positive day. So it’s only 2. I feel it’s been really good.
190 00:19:47.550 ⇒ 00:19:49.959 Amber Lin: Pardon me the last sentence. I didn’t catch.
191 00:19:50.220 ⇒ 00:19:51.739 Uttam Kumaran: Oh, I said, it’s been really good.
192 00:19:51.950 ⇒ 00:20:03.199 Amber Lin: Yeah, I agree, too. The sales go to market thing has been pushing really? Well, doing daily stand ups really helped. And same for matter more like, I think, just
193 00:20:03.430 ⇒ 00:20:05.879 Amber Lin: daily stand ups. And also the
194 00:20:06.010 ⇒ 00:20:12.309 Amber Lin: doc I created, based on what you have taught me about what to ask in Cnns has been helping.
195 00:20:12.860 ⇒ 00:20:13.960 Uttam Kumaran: Okay. Good. Good.
196 00:20:13.960 ⇒ 00:20:15.970 Amber Lin: Wrapping my head around like.
197 00:20:16.250 ⇒ 00:20:21.030 Uttam Kumaran: No, it’s just. It’s a little bit. You just have to be a little bit aggressive, but it’s also like
198 00:20:24.680 ⇒ 00:20:29.810 Uttam Kumaran: I don’t know. I think it’s just sometimes it’s awkward like that, and you just have to wait for the engineers to answer.
199 00:20:30.210 ⇒ 00:20:31.010 Amber Lin: Yeah.
200 00:20:31.880 ⇒ 00:20:35.540 Uttam Kumaran: So just really like, live in the silence a bit. But I think you did a lot better today.
201 00:20:38.260 ⇒ 00:20:41.620 Amber Lin: Okay. Well, let you go. Have some break.
202 00:20:42.040 ⇒ 00:20:42.465 Uttam Kumaran: Okay.
203 00:20:43.050 ⇒ 00:20:44.030 Amber Lin: Alrighty!
204 00:20:44.250 ⇒ 00:20:45.989 Uttam Kumaran: Alright, bye.