Meeting Title: BF Managers Meeting: Finance Check Date: 2025-07-11 Meeting participants: Amber Lin, Awaish Kumar, Hannah Wang, Uttam Kumaran, Robert Tseng
WEBVTT
1 00:00:25.860 ⇒ 00:00:27.269 Amber Lin: Hi awaii!
2 00:00:27.490 ⇒ 00:00:30.209 Amber Lin: Waiting for them to go in.
3 00:00:31.460 ⇒ 00:00:36.620 Amber Lin: How are you? I know that a few days ago you said you weren’t feeling good. How do you feel right now?
4 00:00:37.290 ⇒ 00:00:38.860 Awaish Kumar: Yeah, I’m I’m feeling good.
5 00:00:39.100 ⇒ 00:00:40.980 Amber Lin: Okay, that’s great.
6 00:00:41.720 ⇒ 00:00:47.100 Awaish Kumar: Yeah, I I just told about a meeting like it was.
7 00:00:47.790 ⇒ 00:00:51.929 Awaish Kumar: yeah, like, Tuesday’s meeting is very, very late.
8 00:00:52.110 ⇒ 00:00:53.390 Amber Lin: Yeah, I know.
9 00:00:54.930 ⇒ 00:00:59.500 Awaish Kumar: When you wake up like when you like, work few nights, then.
10 00:01:02.450 ⇒ 00:01:04.729 Awaish Kumar: Because I feel sleepy in the meeting.
11 00:01:05.379 ⇒ 00:01:06.819 Amber Lin: Yeah, that makes sense.
12 00:01:09.629 ⇒ 00:01:10.769 Amber Lin: Okay.
13 00:01:11.149 ⇒ 00:01:17.159 Amber Lin: I mean, are they gonna come if they don’t come? I don’t mind skipping. I have a lot of meetings today.
14 00:01:18.190 ⇒ 00:01:18.900 Amber Lin: Good morning.
15 00:01:18.900 ⇒ 00:01:20.729 Hannah Wang: Message them on slack!
16 00:01:20.730 ⇒ 00:01:26.370 Amber Lin: Sure, sure, absolute, and profit.
17 00:01:27.450 ⇒ 00:01:30.150 Amber Lin: Let me 1st check their calendar.
18 00:01:31.360 ⇒ 00:01:32.820 Awaish Kumar: Okay.
19 00:01:35.230 ⇒ 00:01:38.070 Amber Lin: Okay, they’re not really busy.
20 00:01:46.820 ⇒ 00:01:50.649 Amber Lin: Okay, we’ll wait a few minutes.
21 00:01:51.950 ⇒ 00:01:52.640 Hannah Wang: Okay.
22 00:01:52.640 ⇒ 00:01:54.830 Amber Lin: And then if they don’t come, we’ll hop.
23 00:04:01.130 ⇒ 00:04:05.439 Amber Lin: Okay. I think we can hop. If they tell us to come back we’ll come back.
24 00:04:05.800 ⇒ 00:04:06.880 Hannah Wang: He’s coming.
25 00:04:06.880 ⇒ 00:04:09.010 Amber Lin: Oh, never mind. Okay.
26 00:05:10.820 ⇒ 00:05:11.680 Uttam Kumaran: Hello!
27 00:05:12.710 ⇒ 00:05:13.620 Amber Lin: Hi.
28 00:05:13.620 ⇒ 00:05:14.470 Uttam Kumaran: Hi, everyone.
29 00:05:22.430 ⇒ 00:05:28.059 Uttam Kumaran: I thought that went great. I think also 2 week cadence is good, although I do really like to talk to everybody every week.
30 00:05:28.620 ⇒ 00:05:33.120 Uttam Kumaran: Just not so sustainable and try to. I’ll try to find a way to to do that on my own.
31 00:05:35.490 ⇒ 00:05:42.519 Uttam Kumaran: so yeah, I thought that was really great. I’m I’m actually like, extremely extremely excited for all the AI stuff I don’t think
32 00:05:42.930 ⇒ 00:05:46.290 Uttam Kumaran: I mean, maybe do. People do kind of get it, but I don’t think
33 00:05:46.890 ⇒ 00:05:51.669 Uttam Kumaran: people are really like in the company, sort of grasping how
34 00:05:51.910 ⇒ 00:05:55.669 Uttam Kumaran: insane it is for a company like ours to even develop something like this.
35 00:05:55.830 ⇒ 00:06:01.800 Uttam Kumaran: like typical consultancies, have no process, or maybe they have sops.
36 00:06:02.170 ⇒ 00:06:09.097 Uttam Kumaran: but they don’t build like internal tooling until they’re like 10,000 people, you know. So
37 00:06:09.490 ⇒ 00:06:10.270 Hannah Wang: Yeah.
38 00:06:10.270 ⇒ 00:06:13.249 Uttam Kumaran: It’s a and it’s not like, it’s just a side project.
39 00:06:13.600 ⇒ 00:06:17.430 Uttam Kumaran: You know, it’s actually like people are using it. And and I’m using it, and
40 00:06:17.929 ⇒ 00:06:27.370 Uttam Kumaran: I think everybody who’s new will benefit from from it, and it’s also just as good as it is now, meaning like, there’s such a roadmap ahead.
41 00:06:28.560 ⇒ 00:06:31.639 Uttam Kumaran: And you know, to kind of tell you guys like
42 00:06:31.740 ⇒ 00:06:38.520 Uttam Kumaran: when Robert and I talk about with whether it’s like potential investors or larger companies.
43 00:06:38.660 ⇒ 00:06:53.060 Uttam Kumaran: This is really what is setting us apart. I think all of our stuff about sort of the fact that we’re bootstrapped. And we have great team, and you know those are all great, and I like it’s hard to do. But something like this is is kind of like.
44 00:06:54.740 ⇒ 00:07:01.030 Uttam Kumaran: not really. There’s there’s no precedent for a company like ours to do something like this and for it to actually work.
45 00:07:01.190 ⇒ 00:07:04.709 Uttam Kumaran: especially like for a data consultancy to be doing this.
46 00:07:05.174 ⇒ 00:07:11.659 Uttam Kumaran: It’s 1 thing, for if we’re just, all we’re doing is AI. But you know, our business is primarily data work. And
47 00:07:11.860 ⇒ 00:07:27.959 Uttam Kumaran: and this is like a really big cross, functional thing that we developed. And so anyone that I talk to who’s interested in our company at the like leadership and executive level when I talk to them about why, we’re a trusted partner. I show them what we do for ourselves.
48 00:07:28.080 ⇒ 00:07:36.330 Uttam Kumaran: And it’s it’s really, really convincing, you know. So yeah, really glad.
49 00:07:37.050 ⇒ 00:07:44.449 Hannah Wang: Yeah, all those features came out of nowhere. I’m like, where did the I feel like it just came overnight, like.
50 00:07:44.650 ⇒ 00:07:48.650 Hannah Wang: because I mean, I was working with Mustafa and Miguel for
51 00:07:49.080 ⇒ 00:07:52.300 Hannah Wang: the beginning part of building this out, but
52 00:07:52.450 ⇒ 00:07:57.779 Hannah Wang: I feel like it just like exponentially grew. So. It was cool, seeing everything that was.
53 00:07:57.970 ⇒ 00:07:59.319 Hannah Wang: add it in there.
54 00:07:59.760 ⇒ 00:08:02.520 Uttam Kumaran: Yeah, hopefully.
55 00:08:06.793 ⇒ 00:08:11.490 Uttam Kumaran: We can go around the Horn and do regular stuff. I mean, I feel like we talk kind of on Wednesday. But
56 00:08:11.670 ⇒ 00:08:15.460 Uttam Kumaran: any sort of risks from anyone or anything to discuss.
57 00:08:23.330 ⇒ 00:08:24.800 Amber Lin: Can someone else start?
58 00:08:24.800 ⇒ 00:08:25.440 Awaish Kumar: Hey!
59 00:08:25.950 ⇒ 00:08:28.077 Amber Lin: I don’t have anything
60 00:08:29.290 ⇒ 00:08:36.660 Awaish Kumar: But like, except from the updates on the interviews, I I’ve got different interview schedule from the.
61 00:08:36.669 ⇒ 00:08:37.359 Uttam Kumaran: Great.
62 00:08:38.169 ⇒ 00:08:44.658 Awaish Kumar: In the next week for data. Engineers had one yesterday. But yeah, it was just cancelled
63 00:08:45.749 ⇒ 00:08:50.179 Awaish Kumar: some because of some emergency. But everything else looks okay.
64 00:08:50.860 ⇒ 00:08:51.360 Uttam Kumaran: Okay.
65 00:08:51.360 ⇒ 00:08:51.960 Awaish Kumar: Yeah.
66 00:08:56.470 ⇒ 00:08:58.709 Uttam Kumaran: Yeah, several and be
67 00:09:00.100 ⇒ 00:09:13.189 Uttam Kumaran: that I just wanna make sure we’re like, all ready, for I think, Amber, you’re probably the only one that I’m a little bit worried about just because I’m sending a lot of 1st round screens to you. So just keep just be mindful of your time, and
68 00:09:13.300 ⇒ 00:09:15.610 Uttam Kumaran: I know interviews can be draining. So
69 00:09:16.023 ⇒ 00:09:22.850 Uttam Kumaran: I mean, I I like. There was a moment where I was interviewing like 3 or 4 people a day, and it can be really, really draining. So
70 00:09:23.530 ⇒ 00:09:26.039 Uttam Kumaran: try to put it towards the end of the day, and also
71 00:09:26.220 ⇒ 00:09:31.790 Uttam Kumaran: leave yourself some time to make sure you’re you’re fully present. It’s probably my only thing to say.
72 00:09:33.310 ⇒ 00:09:36.269 Amber Lin: Yeah, I have one. Later today.
73 00:09:38.070 ⇒ 00:09:58.389 Uttam Kumaran: Yeah, I’m really, really excited, I mean, like, you know, to think thinking about sort of the roles we’re missing. I think, Henry, I’m really really excited for he seems I’ve only texted with him, but he seems he seems also really really excited, and I think he’ll be a huge unlock on the segment amplitude side for us. So I’m hopeful that he can.
74 00:09:58.720 ⇒ 00:10:01.319 Uttam Kumaran: He’ll he’ll perform well and
75 00:10:02.050 ⇒ 00:10:09.156 Uttam Kumaran: We are looking for an I think the really, the next biggest unlock for us is this like mid level Pm role?
76 00:10:09.940 ⇒ 00:10:18.337 Uttam Kumaran: which, like is, gonna be that whoever that person is is, gonna be so ecstatic that we have a Pmo function at our at our size.
77 00:10:18.790 ⇒ 00:10:24.550 Uttam Kumaran: and ideally, will be the basically the next step to taking me and Robert out of
78 00:10:25.010 ⇒ 00:10:28.139 Uttam Kumaran: out of a lot of the existing client engagements.
79 00:10:28.610 ⇒ 00:10:38.349 Uttam Kumaran: Which I’m so excited for like it’s been tremendous even in the last 2 months at how far we’ve come, so like, you know, around that objective.
80 00:10:38.450 ⇒ 00:10:38.930 Uttam Kumaran: But
81 00:10:40.030 ⇒ 00:10:48.472 Uttam Kumaran: I think we we still have a little bit of a of a ways to go, but my time on clients is down tremendously, and
82 00:10:49.120 ⇒ 00:10:54.960 Uttam Kumaran: like it’s allowed us to go work on, you know, a ton of other stuff and work on the business.
83 00:10:55.564 ⇒ 00:11:00.005 Uttam Kumaran: Which is huge, you know. That’s like that’s the leverage.
84 00:11:00.600 ⇒ 00:11:05.730 Uttam Kumaran: you know, especially sales, I think, where you’re where you’re gonna immediately see, the impact is on the sales side like
85 00:11:05.920 ⇒ 00:11:13.410 Uttam Kumaran: we’re really rocking. And I think I think you’re gonna be surprised, Hannah, how the partnerships are gonna come through
86 00:11:13.510 ⇒ 00:11:29.569 Uttam Kumaran: like we’ve built a lot of friends in this business, just being honest and being like trustworthy people. And so people want to support us, and the moment we even put a financial incentive in front of them. I think it’s gonna it’s gonna crush. So I really.
87 00:11:29.680 ⇒ 00:11:33.050 Uttam Kumaran: you know, I’m really excited for. But I’m also very scared, like
88 00:11:33.220 ⇒ 00:11:39.870 Uttam Kumaran: I think we have a line of sight towards 2030 clients, and I just wanna make sure that we can keep up with the demand.
89 00:11:42.020 ⇒ 00:11:46.210 Uttam Kumaran: and so I think we’re a little bit in like calm before the storm. Kind of
90 00:11:47.980 ⇒ 00:12:01.600 Uttam Kumaran: So I just wanna make sure that we can lock down that additional person, and then we can cruise towards 2030 clients. It’s gonna look a lot different. And so I think I just wanna make sure that we can. We can handle that type of workload
91 00:12:02.180 ⇒ 00:12:09.459 Uttam Kumaran: so once we make the Pm higher, I think the next sort of goal is to look for sort of these types of like solutions architects.
92 00:12:09.660 ⇒ 00:12:19.889 Uttam Kumaran: which, again, is probably the last place that Robert and I will continue to play like a big role on when it comes to clients. I mean, I think we’ll we’ll always be working on client stuff. But like
93 00:12:20.030 ⇒ 00:12:31.457 Uttam Kumaran: solutions, architects is like, okay, we need someone that’s like a data engineering solutions. Architect. Right now, it’s just me and a wish. We also may need someone that’s like on Cdp, or or amplitude. Right? So now we have Henry.
94 00:12:31.970 ⇒ 00:12:39.509 Uttam Kumaran: okay, perhaps we need someone that’s on. Dbt, okay, I think Demo A is is doing a good job at being that for modeling work. Right? So.
95 00:12:40.019 ⇒ 00:12:45.050 Uttam Kumaran: yeah, I think we made a lot of progress. So I’m just. I’m excited to see all the leads coming in.
96 00:12:47.240 ⇒ 00:12:50.630 Uttam Kumaran: Yeah, it’s a like a lot of our efforts are are panning out.
97 00:12:51.840 ⇒ 00:12:52.500 Amber Lin: Oh!
98 00:12:53.330 ⇒ 00:12:57.679 Uttam Kumaran: And we’ve kept costs. We’ve kept costs pretty stable like over the last 2 months.
99 00:13:01.510 ⇒ 00:13:03.170 Hannah Wang: Do you need help with
100 00:13:03.460 ⇒ 00:13:10.819 Hannah Wang: like the leads stuff because Sid is out. So do you want me to like help you? Well, I know she’s coming back, but
101 00:13:11.450 ⇒ 00:13:12.480 Hannah Wang: I don’t know.
102 00:13:13.180 ⇒ 00:13:15.349 Uttam Kumaran: Yeah, I’m I’m not like.
103 00:13:16.230 ⇒ 00:13:20.590 Uttam Kumaran: I’m not sure like I feel like, probably where I could use your help is on.
104 00:13:20.720 ⇒ 00:13:23.229 Uttam Kumaran: We’re gonna get to the stage where we’re gonna do it like on
105 00:13:23.450 ⇒ 00:13:26.560 Uttam Kumaran: Monday and Tuesday I think of like 5 lead calls.
106 00:13:26.560 ⇒ 00:13:27.040 Hannah Wang: Okay.
107 00:13:27.040 ⇒ 00:13:35.879 Uttam Kumaran: So we’re gonna have like, follow ups and stuff. After that like that, I’ll probably get your help on. But actually, I think, Amber, it probably will be some work between
108 00:13:36.210 ⇒ 00:13:40.940 Uttam Kumaran: our groups like sales and Pm. Because I’ll be generating sows.
109 00:13:41.060 ⇒ 00:13:51.969 Uttam Kumaran: And so I know it’s I know Alice will be like. That’s not Pmo whatever. But I just want to have a template where I can generate the sows, and that I can like run them by you.
110 00:13:53.078 ⇒ 00:13:58.240 Amber Lin: No, we already have a sow, prompt Creator.
111 00:13:58.240 ⇒ 00:14:00.350 Uttam Kumaran: Okay, okay, yeah, we do, we do.
112 00:14:00.350 ⇒ 00:14:03.020 Amber Lin: But in the Pont Library I added.
113 00:14:03.310 ⇒ 00:14:19.559 Amber Lin: my, the ones that I used to create roadmaps for is already in there. I just added it to our demo site. So whoever’s handling sales then, can use it as well. And I think at the roadmap is where Pmo gets involved.
114 00:14:19.830 ⇒ 00:14:21.100 Uttam Kumaran: Okay. Okay.
115 00:14:21.390 ⇒ 00:14:26.950 Uttam Kumaran: So I will use that. I think that’s probably where I’m gonna need some help, probably from.
116 00:14:27.580 ⇒ 00:14:38.100 Uttam Kumaran: I mean, I probably will just need help from you guys, because right now it’s just me and me and Robert on sales. So if if I need help putting together an sow, I may ask this crew for help.
117 00:14:40.440 ⇒ 00:14:45.730 Uttam Kumaran: So I know it’s not like the Pmo function, but like we don’t have any sales people. So
118 00:14:46.331 ⇒ 00:14:48.838 Uttam Kumaran: it’s it’s kind of brutal.
119 00:14:49.470 ⇒ 00:14:53.800 Uttam Kumaran: it’ll be at least like either putting it together or like proofreading, you know. So.
120 00:14:53.800 ⇒ 00:14:54.320 Amber Lin: Okay.
121 00:14:56.640 ⇒ 00:14:58.710 Uttam Kumaran: That’s probably that’s probably the biggest thing.
122 00:14:59.540 ⇒ 00:15:00.380 Amber Lin: Okay.
123 00:15:03.050 ⇒ 00:15:08.459 Awaish Kumar: On the default like we only have, like 2 months plan for now.
124 00:15:09.040 ⇒ 00:15:14.540 Uttam Kumaran: We just have 2 months planned from now. My, my goal is to, of course, extend when we get closer.
125 00:15:14.920 ⇒ 00:15:22.070 Uttam Kumaran: Part of it is, is sort of like establishing all the work that needs to get done. And then I want to spend the next few weeks.
126 00:15:22.310 ⇒ 00:15:24.160 Uttam Kumaran: you know, really trying to
127 00:15:26.120 ⇒ 00:15:33.139 Uttam Kumaran: just really trying to get a foothold in the company and and deliver. So I think, yeah, for now it’s it’s a little bit shallow.
128 00:15:34.970 ⇒ 00:15:41.480 Awaish Kumar: Okay. So like, what is this like? Is that real implementation? Or it’s more like.
129 00:15:43.300 ⇒ 00:15:48.959 Uttam Kumaran: Yeah. So it’s actually all in. It’s actually all in the client channel. If you want to check it out.
130 00:15:49.760 ⇒ 00:15:52.650 Awaish Kumar: Yeah, I’ve read it. In the notion, Doc.
131 00:15:52.910 ⇒ 00:15:54.250 Uttam Kumaran: Yeah.
132 00:15:54.880 ⇒ 00:16:01.740 Awaish Kumar: Like it mentions setting up mixed panel and things like that. So this will be like real
133 00:16:02.550 ⇒ 00:16:10.669 Awaish Kumar: implementation of those building the like. For example, one of the milestone is established key metrics for
134 00:16:11.030 ⇒ 00:16:20.980 Awaish Kumar: Csr Revops and things like that. So is that just establishing that matrix like what we need or more like showing them individualizations as well.
135 00:16:21.700 ⇒ 00:16:30.319 Uttam Kumaran: Right now. There’s no sort of decision on where we’re gonna visualize. We’re just gonna do it in amplitude, for now and then we’ll have to make some decisions
136 00:16:30.480 ⇒ 00:16:31.340 Uttam Kumaran: with them.
137 00:16:31.340 ⇒ 00:16:32.000 Awaish Kumar: Okay.
138 00:16:34.530 ⇒ 00:16:35.480 Uttam Kumaran: Yeah.
139 00:16:35.480 ⇒ 00:16:36.120 Awaish Kumar: Okay.
140 00:16:44.762 ⇒ 00:16:57.059 Hannah Wang: I guess I can go I mean, I feel like, though I guess the risk is just the Pm. Stuff. But I know, Amber and Rico were like helping. But I just feel like, Yeah, I just need help like prior.
141 00:16:57.060 ⇒ 00:16:57.490 Uttam Kumaran: Yeah.
142 00:16:57.490 ⇒ 00:17:03.139 Hannah Wang: And grooming all the tickets and all that stuff, because I don’t think I can do that. So.
143 00:17:03.800 ⇒ 00:17:12.470 Amber Lin: Yeah, I think my plan is, the grooming is pretty much at an end. And at this point it’s more of okay for each cycle.
144 00:17:12.819 ⇒ 00:17:24.630 Amber Lin: Can we upkeep all of this stuff? So next week, in planning, do you still plan on joining? I think that will be really helpful.
145 00:17:24.630 ⇒ 00:17:30.010 Uttam Kumaran: Be there. I think I think the one thing probably also is that, and can take on a lot more capacity.
146 00:17:30.570 ⇒ 00:17:36.889 Uttam Kumaran: I just think the reason we’re not giving it to her is just because our planning sucks, my planning sucks. Basically.
147 00:17:37.550 ⇒ 00:17:39.920 Amber Lin: You don’t have time. No, yeah. Okay.
148 00:17:39.920 ⇒ 00:17:51.199 Uttam Kumaran: But that’s why a lot of our a lot of our stuff is ad hoc. So it goes to Hannah or Ryan right like during the day when, and could definitely do it if we had tickets, you know. So.
149 00:17:51.430 ⇒ 00:17:52.360 Amber Lin: Yes.
150 00:17:52.360 ⇒ 00:17:57.510 Hannah Wang: I? Yeah, I just don’t know like what to delegate to her, and then I just end up doing it. So.
151 00:17:57.510 ⇒ 00:17:57.950 Uttam Kumaran: Yeah, yeah.
152 00:17:57.950 ⇒ 00:18:03.583 Hannah Wang: Planning would be helpful. Just cause. Anne’s like a rock star, too. So like, I, yeah, she can definitely.
153 00:18:03.880 ⇒ 00:18:09.549 Uttam Kumaran: Like I do think we can do get 50% more done with her time. I just think she, because she’s Async she just needs.
154 00:18:10.260 ⇒ 00:18:11.660 Uttam Kumaran: She still needs to help. There.
155 00:18:11.660 ⇒ 00:18:23.540 Hannah Wang: Like we just need more. Well groomed tickets for her, because I think for me like cause I’m working when everyone else is working. I can ask questions, but for her like it’s easy for her to get blocked if she doesn’t know the answer. So.
156 00:18:23.540 ⇒ 00:18:24.180 Uttam Kumaran: Yeah.
157 00:18:24.180 ⇒ 00:18:26.159 Hannah Wang: I think that’s where grooming would help, too.
158 00:18:26.160 ⇒ 00:18:27.510 Hannah Wang: Or just like
159 00:18:27.510 ⇒ 00:18:37.639 Hannah Wang: planning, yeah, prioritizing. And like mapping out all the tickets that we can take on this cycle, and having it all well groomed so that, and can pick it up whenever.
160 00:18:37.640 ⇒ 00:18:38.070 Amber Lin: Me!
161 00:18:38.560 ⇒ 00:18:39.370 Hannah Wang: Yeah.
162 00:18:39.370 ⇒ 00:18:46.940 Amber Lin: Should we do one week? I was gonna ask next Monday. But do you want one week cycle, 2 week cycles.
163 00:18:47.720 ⇒ 00:18:48.420 Uttam Kumaran: Yeah.
164 00:18:50.181 ⇒ 00:18:53.270 Hannah Wang: What difference would that make like practice.
165 00:18:53.270 ⇒ 00:19:02.629 Amber Lin: It would be easier for you to plan if it’s more straightforward. If it’s just okay. By the end of this week I need this much done.
166 00:19:04.640 ⇒ 00:19:10.599 Amber Lin: Especially as I notice requirements of marketing change a lot, or there’s a lot of ad hoc.
167 00:19:11.030 ⇒ 00:19:16.850 Uttam Kumaran: It’s also the ticket. The ticket durations can sometimes be over a week so
168 00:19:17.020 ⇒ 00:19:22.799 Uttam Kumaran: that was my only point that’s probably my only pushback is that tickets can take longer than.
169 00:19:23.300 ⇒ 00:19:25.430 Amber Lin: What tickets would take that long.
170 00:19:26.290 ⇒ 00:19:37.270 Uttam Kumaran: Like video edits. And like, sometimes like, basically because a lot of stuff still gets reviewed by me. For example, if the team puts together like a 1 pager. It may go through 3 or 4 revisions.
171 00:19:37.460 ⇒ 00:19:40.300 Uttam Kumaran: and those all maybe 2 or 3 days space in between.
172 00:19:40.300 ⇒ 00:19:42.990 Amber Lin: I see, so the revisions will take time.
173 00:19:42.990 ⇒ 00:19:43.500 Uttam Kumaran: Okay.
174 00:19:43.500 ⇒ 00:19:56.280 Amber Lin: That’s that makes sense. We’ll we’ll try out the 2 week cycles. And I just also think if it’s 1 week, it’s also more straightforward for Rico, but I think it’ll work in terms of reviewing.
175 00:19:56.600 ⇒ 00:20:01.830 Amber Lin: Hannah is is getting stuff reviewed. A big bottleneck.
176 00:20:04.850 ⇒ 00:20:19.339 Hannah Wang: I, that’s just a function of whoever I need the review from and how busy they are. So some of the I guess that’s where like priority helps, I guess. Cause if it’s like high pry, I can just like
177 00:20:19.660 ⇒ 00:20:24.169 Hannah Wang: ping them instead of just moving it to needs review in linear.
178 00:20:26.020 ⇒ 00:20:30.950 Hannah Wang: So yeah. Cause for me, it’s like, I don’t want to bother.
179 00:20:31.470 ⇒ 00:20:33.499 Hannah Wang: Why, what’s wrong with the word ping.
180 00:20:33.890 ⇒ 00:20:48.680 Hannah Wang: Okay, anyway. I don’t wanna like bother. For example, I don’t wanna like Tag U Tom in a ton of things. If it’s not like necessarily high priority. I only wanna like DM, him, if it it’s like necessary for him to review right away.
181 00:20:48.680 ⇒ 00:20:49.340 Amber Lin: Of course.
182 00:20:49.645 ⇒ 00:21:03.639 Hannah Wang: So I feel like getting. I mean, it sounds pretty good at reviewing stuff. If I tell him I need this reviewed it’s just a matter of like oh, which ones should I like? Send for review, and which one can I like leave in linear until, like.
183 00:21:03.640 ⇒ 00:21:04.140 Amber Lin: Okay.
184 00:21:04.140 ⇒ 00:21:08.900 Hannah Wang: It gets more necessary in the future. So I don’t think that’s a bottleneck necessarily.
185 00:21:08.900 ⇒ 00:21:09.950 Amber Lin: That’s good.
186 00:21:09.950 ⇒ 00:21:11.250 Hannah Wang: Yeah, it’s just
187 00:21:11.600 ⇒ 00:21:27.750 Hannah Wang: planning, like, I think we haven’t had like consistent planning in a while, like we sometimes skip the meeting and then we just like kind of ad hoc async kinda mess with the linear board. And then everything is like just everywhere. So.
188 00:21:27.750 ⇒ 00:21:30.870 Amber Lin: Let’s just start with. Yeah, go ahead.
189 00:21:30.870 ⇒ 00:21:36.030 Hannah Wang: Oh, I I was thinking, maybe we can. Just I think planning will help. So maybe we can just
190 00:21:36.140 ⇒ 00:21:39.470 Hannah Wang: have a good planning routine and like grooming, and then
191 00:21:39.860 ⇒ 00:21:42.846 Hannah Wang: go from there and see if things get better, because I think it will.
192 00:21:43.060 ⇒ 00:21:46.429 Amber Lin: Okay, yeah. I was thinking, if
193 00:21:46.740 ⇒ 00:21:59.609 Amber Lin: getting reviews is a blocker, we could just schedule a time at the end of sprint. So whatever hasn’t gotten reviewed. We can close out at the end. But we can. We can talk about if that’s needed.
194 00:22:00.340 ⇒ 00:22:10.339 Hannah Wang: I mean Utah and I had tried to like schedule like a weekly, bi-weekly kind of design. Review block the calendar. But I we got rid of that so I feel like.
195 00:22:10.340 ⇒ 00:22:16.346 Uttam Kumaran: I mean, maybe that’s probably that that could be best if I’m not gonna attend other things.
196 00:22:17.250 ⇒ 00:22:22.497 Amber Lin: Yeah. So you would just go to planning and
197 00:22:23.080 ⇒ 00:22:23.710 Hannah Wang: Review.
198 00:22:23.710 ⇒ 00:22:27.550 Amber Lin: End of the review and maybe
199 00:22:27.960 ⇒ 00:22:30.030 Amber Lin: I don’t know if you should be at grooming.
200 00:22:30.600 ⇒ 00:22:32.030 Amber Lin: I don’t think so.
201 00:22:33.970 ⇒ 00:22:45.749 Uttam Kumaran: I mean in design. This common right where you do design quits. Right? So it’s not common like you just have, like one or 2 h blocks where you do design crits on stuff. So maybe that’s best.
202 00:22:46.120 ⇒ 00:22:52.116 Amber Lin: Okay, okay. So in planning, we’ll discuss, we’ll discuss
203 00:22:53.030 ⇒ 00:22:55.729 Amber Lin: how we want the virtuals for this team to be.
204 00:22:55.730 ⇒ 00:22:56.490 Hannah Wang: Okay.
205 00:22:56.690 ⇒ 00:22:57.040 Amber Lin: Yeah.
206 00:22:57.200 ⇒ 00:22:58.479 Hannah Wang: I think that’ll help.
207 00:22:58.790 ⇒ 00:22:59.940 Hannah Wang: Thank you.
208 00:22:59.940 ⇒ 00:23:00.940 Amber Lin: Of course.
209 00:23:01.784 ⇒ 00:23:08.150 Amber Lin: For me, my actually let me write that down in the marketing agenda.
210 00:23:09.000 ⇒ 00:23:10.160 Amber Lin: Oh.
211 00:23:10.990 ⇒ 00:23:30.959 Hannah Wang: And also like, if there’s a way for Rico to like, make tickets out of all the ad hoc stuff that are in slack. I mean I I tried to tell him like, can you help me make it? But I don’t think he made it. It’s a lot so like keeping track of all the tickets, also that come from slack cause there’s a lot of them. And then, like prioritizing it.
212 00:23:31.820 ⇒ 00:23:41.009 Hannah Wang: it just be helpful, I guess, for the people who ask for those design requests like how urgent it is. So we can like prioritize. I think that’d be helpful.
213 00:23:41.010 ⇒ 00:23:41.690 Amber Lin: Okay.
214 00:23:43.397 ⇒ 00:23:50.919 Amber Lin: is there like a quick request form kind of like a tool request from for the design team.
215 00:23:52.426 ⇒ 00:23:53.700 Hannah Wang: We only.
216 00:23:53.700 ⇒ 00:24:06.267 Uttam Kumaran: You can tell Rico to make linear? Asks, I mean, usually, I just send it. So then someone we usually create a I just want to get a discussion. And then we create a ticket directly in slack.
217 00:24:06.830 ⇒ 00:24:12.669 Uttam Kumaran: So I feel like, that’s pretty okay, like none of the stuff I send, unless I’m it’s very explicit, is like
218 00:24:12.970 ⇒ 00:24:17.200 Uttam Kumaran: same day turnaround. It’s just putting I putting ideas there.
219 00:24:18.980 ⇒ 00:24:25.929 Uttam Kumaran: So if he’s if if he if Rico is responsible for saying, Hey, you’re gonna be the you’re he’s triage. Then he can be triage right
220 00:24:27.490 ⇒ 00:24:28.000 Uttam Kumaran: like.
221 00:24:28.000 ⇒ 00:24:30.339 Hannah Wang: Yes, we need a triage person.
222 00:24:30.340 ⇒ 00:24:32.798 Uttam Kumaran: Yeah, he can be triage.
223 00:24:33.610 ⇒ 00:24:38.129 Amber Lin: Okay, so we’ll we’ll make sure that he understands that.
224 00:24:38.690 ⇒ 00:24:41.560 Amber Lin: because next week I want to hand off this is
225 00:24:41.560 ⇒ 00:24:44.950 Amber Lin: stuff. So I’ll get him on board
226 00:24:45.360 ⇒ 00:24:47.579 Amber Lin: and have him help him understand?
227 00:24:47.580 ⇒ 00:24:52.410 Hannah Wang: I mean, I can. I can still be helping him, cause I know it’s a lot of like
228 00:24:52.810 ⇒ 00:24:58.520 Hannah Wang: stuff to intake, so I can like triage, side by side with him.
229 00:24:59.120 ⇒ 00:25:03.730 Hannah Wang: I think, yeah, just get him ramped up to, I guess, like
230 00:25:04.149 ⇒ 00:25:08.489 Hannah Wang: our rituals first, st and then we can figure out like the triage stuff and.
231 00:25:09.150 ⇒ 00:25:12.205 Hannah Wang: Figure it out as we go, like I can obviously still help
232 00:25:12.460 ⇒ 00:25:13.180 Amber Lin: Yeah.
233 00:25:13.180 ⇒ 00:25:16.820 Hannah Wang: To the best of my Pm. Abilities, I guess, but.
234 00:25:18.195 ⇒ 00:25:23.030 Amber Lin: Okay, yeah. And Monday will. I think
235 00:25:23.810 ⇒ 00:25:30.940 Amber Lin: Tuesday grooming will work together more. So to determine what his responsibilities and checklists so.
236 00:25:30.940 ⇒ 00:25:39.442 Hannah Wang: Yeah, I saw you had some requests for me. To like. Add assignees to the tickets. I’ll do that like I’ll clean up the board.
237 00:25:42.427 ⇒ 00:26:04.822 Amber Lin: Okay. So for my projects, urban stem is going decently, usually for that team, my concern is like, Oh, we’re behind. We’re behind. People are taking a little bit longer. People don’t want more tickets or things are not getting captured, so I make sure to ask that
238 00:26:07.050 ⇒ 00:26:19.176 Amber Lin: demalade has a tendency of not reporting what he’s doing, and sometimes like, I’m not sure if he’s doing anything, or he’s doing too much, or he’s like,
239 00:26:20.400 ⇒ 00:26:22.360 Amber Lin: what did I say?
240 00:26:23.110 ⇒ 00:26:24.160 Amber Lin: Like
241 00:26:24.650 ⇒ 00:26:49.430 Amber Lin: trying to take less tickets at his capacity? So in planning, I pointed that out, and we added a ticket in so based on his points. So that having that was helpful. And then today, I asked again of, Okay, is there anything that you’re working on that’s not captured in this cycle. Is there anything that you’re no longer working on? So I think on that side it helps.
242 00:26:49.580 ⇒ 00:26:55.549 Amber Lin: He’s still not a mature tech lead. I would say because.
243 00:26:56.140 ⇒ 00:27:01.315 Amber Lin: say, when we’re building out the revenue mart and
244 00:27:02.840 ⇒ 00:27:25.969 Amber Lin: we’re in the audit phase. But then today, Kyle tells me he’s auditing and building it out a little bit at the same time. And I was like, what do you mean? We haven’t. You guys have we have a ticket to define what it will look like. You guys haven’t defined it. Why are you building it? I didn’t say it like that, but I need them to define it before they start building it. And I had to
245 00:27:26.730 ⇒ 00:27:32.750 Amber Lin: say, Can you go meet with Kyle? Can you go produce this result of
246 00:27:32.860 ⇒ 00:27:38.589 Amber Lin: what it needs to look like for this model. What requirements do you need to meet?
247 00:27:39.436 ⇒ 00:27:44.899 Amber Lin: And so I think he still needs some development as a tech lead
248 00:27:45.290 ⇒ 00:27:52.180 Amber Lin: to be more proactive and own the roadmap a little bit more. He still needs some nudging, and then he’ll do the thinking.
249 00:27:53.541 ⇒ 00:27:56.999 Amber Lin: That’s that, and always with
250 00:27:57.653 ⇒ 00:28:07.000 Amber Lin: sometimes with Kyle’s work. My worry is that it will take too long like it’s very detailed. It’s very nice, but sometimes it’s unnecessarily complex.
251 00:28:07.120 ⇒ 00:28:12.926 Amber Lin: So that’s what I’m trying to do with the with the tickets.
252 00:28:14.790 ⇒ 00:28:18.440 Amber Lin: yeah, I’ll send it. We’ll I’ll send an update in the Channel later.
253 00:28:19.420 ⇒ 00:28:23.740 Uttam Kumaran: Yeah, we are. We are. We are interviewing some more sort of data engineering
254 00:28:23.870 ⇒ 00:28:32.656 Uttam Kumaran: candidates that I know Weish and a few others have recommended. So I guess we’ll kind of see the quality and seniority and maybe it’s worth getting
255 00:28:33.160 ⇒ 00:28:36.090 Uttam Kumaran: couple hours from one other person on that project.
256 00:28:36.420 ⇒ 00:28:36.840 Amber Lin: Yeah.
257 00:28:37.248 ⇒ 00:28:43.519 Uttam Kumaran: You know, someone at like my level or a ratio’s level? Basically, so kind of hopefully get.
258 00:28:43.750 ⇒ 00:28:55.099 Uttam Kumaran: I’m interviewing a couple of people next week, so we’ll kind of see who’s in that position. If anyone’s good, then I think they could. Even just they can spend time with you for a couple of hours. That’d be perfect.
259 00:28:55.100 ⇒ 00:29:00.039 Amber Lin: Yeah. Okay. Cause for that project. The main concern is that
260 00:29:00.350 ⇒ 00:29:13.040 Amber Lin: there’s no one extreme. A 2 senior Demot is pretty senior, but I don’t think he’s at the level that he can carry this whole project forward. On.
261 00:29:13.040 ⇒ 00:29:21.859 Uttam Kumaran: No, I mean ideally, it’s like, it’s me. Yeah, I mean, I think that’s where I think. Let let me know how like I would say, feel free to try to leverage me
262 00:29:22.250 ⇒ 00:29:25.059 Uttam Kumaran: where you where you need someone like that for now.
263 00:29:25.270 ⇒ 00:29:45.287 Uttam Kumaran: like, if if you need like, for example, that’s why on the ABC. Call, if you’re going and talking to new stakeholders, or you’re like, Hey, I want to go expand to different divisions. That’s a perfect opportunity to bring me in, because that I’ll I’ll come in, and I’ll make sure that you get anything you need. Those people are on board.
264 00:29:45.840 ⇒ 00:29:51.119 Uttam Kumaran: right. So I think any meetings where it’s like, for example, anything where Zack is involved, or Alex is involved
265 00:29:51.670 ⇒ 00:29:56.330 Uttam Kumaran: me because I’ll I know what the project is, and I can come in and say whatever you need me to say.
266 00:29:57.350 ⇒ 00:30:02.650 Uttam Kumaran: So I would say selectively, bring me in as needed there, too. And then, yeah, maybe if there is a really like
267 00:30:02.770 ⇒ 00:30:13.319 Uttam Kumaran: important grooming session that needs to happen. Then I can also join in. I just kind of would like if you. If you add me to that, then I I can be really, really valuable.
268 00:30:13.320 ⇒ 00:30:16.370 Amber Lin: Yeah, I added you to the Google meet, invite.
269 00:30:16.370 ⇒ 00:30:17.760 Uttam Kumaran: Yeah, yeah, okay.
270 00:30:17.760 ⇒ 00:30:18.759 Amber Lin: So that’s good
271 00:30:19.484 ⇒ 00:30:25.856 Amber Lin: for urban sense. I was. Yeah, I I did plan to leverage you on especially planning out revenue.
272 00:30:26.210 ⇒ 00:30:26.580 Uttam Kumaran: Okay.
273 00:30:26.580 ⇒ 00:30:28.780 Amber Lin: I’m gonna I gave them.
274 00:30:28.780 ⇒ 00:30:32.009 Uttam Kumaran: Because you could. You can do just one meeting on just that subject.
275 00:30:32.010 ⇒ 00:30:42.151 Amber Lin: Yes, I agree. I gave that meeting. I told them to meet. But then I’m gonna send that message with the ticket content in the channel and tag you so
276 00:30:42.490 ⇒ 00:30:43.150 Uttam Kumaran: Okay.
277 00:30:43.150 ⇒ 00:30:46.800 Amber Lin: They. I need them to report out on that what they decide to do.
278 00:30:46.800 ⇒ 00:31:16.449 Uttam Kumaran: Yeah. So so one thing that I think is common in is this like, look, if you can’t get to a conversation easily in grooming or planning. Then just get time with everybody separately, especially for architecture reviews, you can tell them, hey, you guys like, for example, one of the outcomes of that document is an architecture review. It’s what typically in product management like Prd review, or you do it. You do a tech like, I mean, I’m sure you you’re familiar with this, but people always do architecture reviews. So they do like Rfcs, which is like request for comments. But
279 00:31:16.810 ⇒ 00:31:41.509 Uttam Kumaran: the output typically of some of these spikes is like an Rfc. Doc, which is like, here’s we wrote up what our plan is, and then everybody comes reviews that doc before the meeting, and then comes and discusses. That’s a perfect way to loop me in or loop away shin or anybody technical on our team, because we can read those add comments, poke holes in it versus, hey, go research, this thing. And the person’s like, I’m researched like.
280 00:31:41.510 ⇒ 00:31:41.900 Amber Lin: Yeah, it’s like.
281 00:31:41.900 ⇒ 00:31:43.450 Uttam Kumaran: It’s like, okay.
282 00:31:43.450 ⇒ 00:31:44.790 Amber Lin: You know what I mean?
283 00:31:44.790 ⇒ 00:32:00.550 Uttam Kumaran: Yeah. So a technical document, they typically call this a Tdv technical design document. If you look up that you’ll see it, you can say, Hey, the outcome of this has to be a Tdv which is like a technical design document about how you’re gonna model revenue. And
284 00:32:00.940 ⇒ 00:32:09.429 Uttam Kumaran: that’s a great outcome, and you can say, as part of the as part of completing this ticket, you need to do a T and E review, and we can invite Alex me
285 00:32:10.230 ⇒ 00:32:12.671 Uttam Kumaran: away. You know, senior folks.
286 00:32:13.620 ⇒ 00:32:15.109 Uttam Kumaran: Very very common practice.
287 00:32:15.390 ⇒ 00:32:15.980 Amber Lin: Yeah.
288 00:32:15.980 ⇒ 00:32:16.600 Uttam Kumaran: Oh yes!
289 00:32:16.600 ⇒ 00:32:19.149 Amber Lin: Yeah, I think with this team is that
290 00:32:19.764 ⇒ 00:32:29.769 Amber Lin: my doubt is always like, are they bluffing me? Are they trying to not do enough work. Are they like what they’re.
291 00:32:29.770 ⇒ 00:32:32.140 Uttam Kumaran: I don’t think that’s the case deal.
292 00:32:32.140 ⇒ 00:32:33.040 Uttam Kumaran: I just think that like.
293 00:32:33.040 ⇒ 00:32:35.189 Amber Lin: I think they’re diligent. I think they just get really.
294 00:32:35.190 ⇒ 00:32:41.990 Uttam Kumaran: I just also think it’s really jarred. This is like an this is definitely more technical than any project. I think you’ve managed
295 00:32:42.420 ⇒ 00:33:05.280 Uttam Kumaran: like, I think, matter more. Some of matter more was close. But it’s still Hr data. This is all dbt, SQL. Code. So you’re gonna feel like that from time to time, because you can’t like you can’t really like see and feel the work. But again, a great way to like Edge that bet is to loop in someone else, or get them to review with another stakeholder that you do trust a 3rd party.
296 00:33:05.980 ⇒ 00:33:06.440 Amber Lin: Okay.
297 00:33:06.900 ⇒ 00:33:12.040 Uttam Kumaran: Where they can’t bluff me or wish, you know. And so but again, that just helps validate. And it shows our work.
298 00:33:12.180 ⇒ 00:33:15.360 Uttam Kumaran: And yeah, very common practice is putting together a design document like that.
299 00:33:15.360 ⇒ 00:33:28.320 Amber Lin: Yeah, okay, that’s good. That’s good to know. And for next week I would like to book a meeting with Zack. It’ll be great. I think we talked about this at the right time.
300 00:33:28.320 ⇒ 00:33:28.690 Uttam Kumaran: Yes.
301 00:33:28.690 ⇒ 00:33:30.339 Amber Lin: Tell him about this architecture.
302 00:33:31.287 ⇒ 00:33:37.500 Amber Lin: And then tell him what to expect on the velocity of projects.
303 00:33:37.500 ⇒ 00:33:38.160 Uttam Kumaran: Okay.
304 00:33:39.428 ⇒ 00:33:46.870 Amber Lin: Let me note that down, maybe above.
305 00:33:52.890 ⇒ 00:34:08.169 Amber Lin: Yeah for ABC. My main thing is that there’s so like, I was just reading about this yesterday. There’s so much that we can do, because this is very much a stakeholder, determined process. And I think we’re a lot closer now to a
306 00:34:08.570 ⇒ 00:34:20.909 Amber Lin: feedback loop that actually works because it’s in with the stakeholders directly in the loop, so excited about that. The risk is that roadmap is hard to
307 00:34:21.050 ⇒ 00:34:23.210 Amber Lin: land on like grooming for urban.
308 00:34:23.219 ⇒ 00:34:24.239 Uttam Kumaran: Timeline. Wise? Yeah.
309 00:34:24.579 ⇒ 00:34:29.529 Amber Lin: It’s it’s easier because it’s the you just do. 1, 2, 3, 4, 5,
310 00:34:29.669 ⇒ 00:34:37.769 Amber Lin: it might deviate and bulge. But it’s the same stuff. So, for ABC is like this, this might not work that might not work.
311 00:34:37.929 ⇒ 00:34:45.849 Amber Lin: This will take much a lot of time with potential, very little return. So the the. We have a backlog, but
312 00:34:46.349 ⇒ 00:34:56.179 Amber Lin: grooming and then planning will be a little bit hard. But good news, good news is usage will definitely boost with mechanical because it’s just more people.
313 00:34:56.349 ⇒ 00:35:02.629 Amber Lin: Usage will also, because I’m talking to the Csrs a lot more, and they’re using the Central Doc
314 00:35:03.252 ⇒ 00:35:23.539 Amber Lin: so they will feel a lot closer to this spot that we created for them, and also with the spreadsheets. I know we created a lot of value for their team because it helps them standardize their update process and.
315 00:35:23.540 ⇒ 00:35:24.189 Uttam Kumaran: Yeah. Yes.
316 00:35:24.500 ⇒ 00:35:33.510 Amber Lin: And that itself will drive a lot of usage, because that’s what a lot of people have been asking about. But was we weren’t able to be to answer.
317 00:35:33.510 ⇒ 00:35:33.900 Uttam Kumaran: Yeah.
318 00:35:33.900 ⇒ 00:35:38.809 Amber Lin: Making sure that that works we’ll get a lot of usage out of that. So I think.
319 00:35:38.810 ⇒ 00:35:44.620 Uttam Kumaran: There’s also the thing. Look if we, if you think some of the work is out of scope, then I can go back to Matt, and say, look like
320 00:35:45.700 ⇒ 00:35:50.719 Uttam Kumaran: some of this. Seems like, pretty far from getting this done like we’re happy to do it. But like
321 00:35:51.060 ⇒ 00:35:55.839 Uttam Kumaran: maybe we need some more money to do it like I think they’d be receptive.
322 00:35:55.840 ⇒ 00:36:05.269 Amber Lin: Yeah, I I do think so. I never thought of that. But do you think for the work I’m doing right now? A lot of it is helping them improve their documentation.
323 00:36:05.460 ⇒ 00:36:09.230 Amber Lin: It’s not really work. It’s not really AI work.
324 00:36:09.690 ⇒ 00:36:17.150 Amber Lin: It helps data and AI work. Really, I’m helping them rewrite their sops.
325 00:36:17.150 ⇒ 00:36:17.890 Uttam Kumaran: Yeah, yeah.
326 00:36:17.890 ⇒ 00:36:24.340 Amber Lin: Training documents, their training processes like, I like doing that. But that’s not. That’s not what we agree to.
327 00:36:24.340 ⇒ 00:36:24.939 Uttam Kumaran: Yeah, yeah, yeah.
328 00:36:24.940 ⇒ 00:36:31.090 Amber Lin: Because it falls under boosting usage like a kind of kind of matters for us.
329 00:36:31.090 ⇒ 00:36:32.210 Amber Lin: Yeah, I agree.
330 00:36:32.210 ⇒ 00:36:32.640 Amber Lin: But.
331 00:36:32.640 ⇒ 00:36:39.560 Uttam Kumaran: Well, here’s here’s what I mean, like, maybe we can think about it a little bit more, but maybe later this month we should come back and say, cool like
332 00:36:39.780 ⇒ 00:36:46.020 Uttam Kumaran: we’re taking a look at sort of the stuff we’re doing. I think we’re on a but this is the thing. Look if we if we hit the 2,000, then we’re at 10 K.
333 00:36:46.020 ⇒ 00:36:47.970 Amber Lin: Then it doesn’t matter. Like, I’m okay.
334 00:36:47.970 ⇒ 00:36:52.449 Uttam Kumaran: I’m kind of okay, because it’s not like you’re gonna do more work.
335 00:36:52.770 ⇒ 00:36:58.169 Amber Lin: It’s yeah. It’s only going to be less. That was the premise of my meeting yesterday with them. Is that.
336 00:36:58.170 ⇒ 00:37:04.040 Uttam Kumaran: So maybe the bet, maybe the actual thing is like you just need like a Pm. Coordinator could probably do all that work.
337 00:37:04.920 ⇒ 00:37:06.029 Amber Lin: Versus your time.
338 00:37:06.030 ⇒ 00:37:20.050 Amber Lin: Yeah, I agree. But I the bulk of the work is done like I. The thing I told them yesterday is that it’s all separated out. There’s general processes and your service specific processes. General processes will apply to mechanical. It will
339 00:37:20.490 ⇒ 00:37:30.370 Amber Lin: other pro other sections. There’s like billing and general scheduling that just will apply across the board. And so a lot of the work we’re already doing will help our other departments.
340 00:37:31.377 ⇒ 00:37:37.290 Amber Lin: The smaller edits. It’s like I wanna delegate to their trainers, but their trainers never do work.
341 00:37:37.290 ⇒ 00:37:38.250 Uttam Kumaran: Yeah, yeah, yeah.
342 00:37:40.030 ⇒ 00:37:40.900 Amber Lin: So
343 00:37:41.200 ⇒ 00:37:51.109 Amber Lin: I don’t know how much a coordinator can help me on this, because it’s about gathering info from them. I’ll try. I don’t want to keep doing this, so I’ll try.
344 00:37:51.435 ⇒ 00:37:51.760 Uttam Kumaran: Okay.
345 00:37:51.760 ⇒ 00:38:01.810 Amber Lin: Okay, yeah, okay, that’s that’s my 2 projects. Eden, I think, is becoming more organized.
346 00:38:01.810 ⇒ 00:38:03.510 Uttam Kumaran: Great, fantastic.
347 00:38:03.510 ⇒ 00:38:09.610 Amber Lin: Arrangement that I don’t take the stand ups is very helpful, because the stands is kind of scary.
348 00:38:09.610 ⇒ 00:38:11.540 Uttam Kumaran: Yeah, the setups are so scary. Dude.
349 00:38:13.090 ⇒ 00:38:15.559 Amber Lin: Why are they? Why are they crushing the stand up.
350 00:38:15.560 ⇒ 00:38:18.510 Uttam Kumaran: It’s so scary I can’t deal with that.
351 00:38:18.750 ⇒ 00:38:21.730 Uttam Kumaran: I can’t deal with stuff like that, like I think Robert is
352 00:38:22.120 ⇒ 00:38:24.779 Uttam Kumaran: better at it, although, like I don’t know.
353 00:38:24.780 ⇒ 00:38:27.239 Amber Lin: Nice to deal with. I’m just like, Wow.
354 00:38:27.240 ⇒ 00:38:31.920 Uttam Kumaran: I just don’t like you guys know me like that’s just not a way to do. I don’t feel like that’s a good thing.
355 00:38:31.920 ⇒ 00:38:33.039 Amber Lin: That’s a good way of doing business.
356 00:38:33.040 ⇒ 00:38:33.450 Uttam Kumaran: Service.
357 00:38:33.450 ⇒ 00:38:37.439 Amber Lin: Respectful, but anyways they pay big bucks.
358 00:38:38.350 ⇒ 00:38:42.489 Uttam Kumaran: Yeah, it’s I just like, I don’t know.
359 00:38:43.720 ⇒ 00:38:47.900 Amber Lin: Yeah. So that’s that’s that poor Robert. But
360 00:38:48.674 ⇒ 00:39:15.200 Amber Lin: I’m gonna do put the Pmo processes on Eden. So I’m gonna do grooming with the team. Because, Rob, okay, we have. We have some time. A big part of Robert’s pain point is that the team is not engaged. The team is not proactive, and the team doesn’t communicate. I partly think it’s because that the team doesn’t really understand
361 00:39:15.260 ⇒ 00:39:20.775 Amber Lin: the project, or that they don’t feel ownership of the project, and then tickets are really
362 00:39:21.650 ⇒ 00:39:36.570 Amber Lin: doesn’t tell them what needs to be delivered, and so they just don’t deliver it or don’t communicate. And Robert is so responsible that sometimes he’ll just communicate for them, because the team doesn’t do it, and then he ends up owning that.
363 00:39:37.300 ⇒ 00:39:46.840 Amber Lin: So I think, starting from grooming. I want teams to understand what the projects are, and.
364 00:39:47.310 ⇒ 00:39:48.240 Awaish Kumar: Like.
365 00:39:48.860 ⇒ 00:39:57.759 Amber Lin: They need to communicate to the stakeholders because they do the work they’re able to. Why should Robert do it when they can? It’s a waste of his time.
366 00:39:58.550 ⇒ 00:40:01.040 Amber Lin: So that’s the
367 00:40:01.200 ⇒ 00:40:07.259 Amber Lin: think the top priority in terms of pming, because ultimately my goal is to make the project smoother and
368 00:40:08.068 ⇒ 00:40:10.340 Amber Lin: make Robert’s life easier.
369 00:40:11.070 ⇒ 00:40:19.110 Amber Lin: So that’s the main thing. I’ll see how collaboration goes with Henry. Haven’t worked with him yet. Have
370 00:40:19.450 ⇒ 00:40:24.729 Amber Lin: slightly talk to him, but we’ll see next week. I added him to the grooming.
371 00:40:26.180 ⇒ 00:40:27.020 Uttam Kumaran: Okay. Okay.
372 00:40:27.360 ⇒ 00:40:28.200 Amber Lin: Yeah.
373 00:40:28.540 ⇒ 00:40:33.680 Amber Lin: And I, the other projects are getting started. So we’ll see how that goes.
374 00:40:33.680 ⇒ 00:40:34.360 Uttam Kumaran: Okay.
375 00:40:36.230 ⇒ 00:40:36.740 Amber Lin: Yeah.
376 00:40:37.980 ⇒ 00:40:38.710 Uttam Kumaran: Okay.
377 00:40:38.710 ⇒ 00:40:40.350 Amber Lin: Anything on insomnia.
378 00:40:43.628 ⇒ 00:40:46.040 Uttam Kumaran: I don’t have any word back on insomnia yet.
379 00:40:46.040 ⇒ 00:40:47.040 Amber Lin: Oh, okay.
380 00:40:47.040 ⇒ 00:40:47.690 Uttam Kumaran: Yeah.
381 00:40:50.320 ⇒ 00:40:50.870 Amber Lin: Okay.
382 00:40:51.480 ⇒ 00:40:52.140 Uttam Kumaran: Okay.
383 00:40:52.360 ⇒ 00:40:55.229 Amber Lin: Sounds good, that’s all for me.
384 00:40:56.130 ⇒ 00:40:56.790 Uttam Kumaran: Okay.
385 00:40:59.480 ⇒ 00:41:03.500 Uttam Kumaran: Alright. Well, thank you guys. Then I’ll talk to you hopefully on Monday.
386 00:41:03.960 ⇒ 00:41:04.680 Amber Lin: Yeah.
387 00:41:05.650 ⇒ 00:41:05.955 Uttam Kumaran: Okay.
388 00:41:06.260 ⇒ 00:41:07.000 Hannah Wang: Okay.
389 00:41:07.380 ⇒ 00:41:08.650 Uttam Kumaran: Alright, bye.
390 00:41:09.040 ⇒ 00:41:09.430 Amber Lin: Bye.