Meeting Title: PM Daily Sync Date: 2025-04-08 Meeting participants: Aakash Tandel, Uttam Kumaran, Amber Lin
WEBVTT
1 00:02:12.660 ⇒ 00:02:13.770 Aakash Tandel: Hey, guys, how’s it going.
2 00:02:15.530 ⇒ 00:02:16.620 Amber Lin: Hello!
3 00:02:16.620 ⇒ 00:02:17.840 Uttam Kumaran: Hello!
4 00:02:20.750 ⇒ 00:02:25.510 Uttam Kumaran: Oh, man! Busy day! I feel like finally, like the noise is like less, you know.
5 00:02:25.510 ⇒ 00:02:26.650 Amber Lin: Yeah.
6 00:02:28.840 ⇒ 00:02:31.759 Aakash Tandel: Yeah, fully. Fully filling down right.
7 00:02:34.420 ⇒ 00:02:40.390 Uttam Kumaran: Yesterday was brutal because I got in kind of late. And then it was like rough, long day.
8 00:02:40.540 ⇒ 00:02:42.030 Uttam Kumaran: And then today.
9 00:02:42.280 ⇒ 00:02:48.570 Uttam Kumaran: yeah, I got through a bunch of stuff. I mean, Akash. That ping this morning was good, though, which was like, yo get these Prs because
10 00:02:48.910 ⇒ 00:02:54.109 Uttam Kumaran: I had the date office hours. I got everybody in there, and then we just pushed everything through. So
11 00:02:55.200 ⇒ 00:02:56.280 Uttam Kumaran: yeah, a lot better.
12 00:02:56.280 ⇒ 00:03:15.749 Aakash Tandel: I’m glad that that works. Yeah, cause I I needed a wish to like. Well, he 1st of all, he had some of the Pr, so it’s like you can’t pr your own Pr. Or you can’t approve your own Pr. So we needed Kyle. But Kyle didn’t seem like he fully understood all the stuff to it. So I was like, let’s just pull in with them. So that makes sense.
13 00:03:15.750 ⇒ 00:03:35.790 Uttam Kumaran: Yeah. And so for the most part, right now I am. I’m reviewing. I’m reviewing a lot of the work, which is fine because it takes me, you know, like 5, 10 min, and I just sort of can give comments. I’m also. It’s also set up a lot of like alerting now, so as soon as a Pr is like 6 h stale, we’ll get a reminder in slack.
14 00:03:35.900 ⇒ 00:03:49.979 Uttam Kumaran: so that this will sort of pause that for me. It’s not about re, not. It doesn’t take long to review these. I just want to make sure that if I review it, and it’s like at the end of the due date. And there’s changes. Then I feel bad sort of asking them to make any changes.
15 00:03:50.120 ⇒ 00:03:51.310 Uttam Kumaran: Okay, yeah.
16 00:03:51.930 ⇒ 00:03:58.249 Uttam Kumaran: But I, for the most part, I think everything got through, or I was able to just work with whoever it was, immediately there.
17 00:03:59.710 ⇒ 00:04:04.009 Uttam Kumaran: Yeah. And then how is this stuff for like the job for the Eden, like date accuracy.
18 00:04:04.380 ⇒ 00:04:12.199 Uttam Kumaran: sort of like Wednesday goal. Like I, I asked them a lot of in a way to create some alerts. They’re they’re working on that right now.
19 00:04:12.848 ⇒ 00:04:14.840 Uttam Kumaran: I’m sure that they can.
20 00:04:15.160 ⇒ 00:04:22.459 Uttam Kumaran: We can. We can send a little bit of a note about like how those work and why they’ll be impactful. But yeah, I just wanted to ask if I can help with anything. There.
21 00:04:22.940 ⇒ 00:04:29.800 Aakash Tandel: Yeah, I think for Eden, there’s a lot of like
22 00:04:31.380 ⇒ 00:05:00.369 Aakash Tandel: Josh always comes back to. No, yeah. Josh always comes back to he doesn’t trust the core data because we’ve had so many kind of fuck ups in terms of getting that data out there. So right now, we’re trying to make sure that all the stuff that’s you know, being visualized in the like the Zendesk data, the the customer journey data, the marketing data, and all those other like order level data is like, perfectly correct. So I think
23 00:05:00.390 ⇒ 00:05:10.400 Aakash Tandel: I think they’re all kind of spending time on that. But yeah, the alerts will help like the Pr. I think there was a pr last week. That kind of broke the end.
24 00:05:10.400 ⇒ 00:05:11.420 Uttam Kumaran: Yes.
25 00:05:12.580 ⇒ 00:05:13.390 Aakash Tandel: Stuff. So.
26 00:05:13.390 ⇒ 00:05:18.589 Uttam Kumaran: But past that, I guess. Like between, I know, Robert basically was like, cool. We want to get something.
27 00:05:18.920 ⇒ 00:05:29.409 Uttam Kumaran: We want to get this to a more accurate state by like Wednesday. So I have demolade and a wish, both working on more tests that we’ll we’ll start the to identify. So.
28 00:05:32.670 ⇒ 00:05:35.090 Aakash Tandel: Yeah, I mean, like, beyond that, I think, like.
29 00:05:36.380 ⇒ 00:05:58.374 Aakash Tandel: I don’t know that their team has full visibility into like, Hey, this is how the data is coming in. This is what we’re doing to it like, here’s a step by step, thing of all the things that we’re doing. We do have Robert doing that on Joby right now. He’s recording looms, and I’m honestly probably gonna have us do the same thing on most of our dashboards for
30 00:05:58.680 ⇒ 00:06:19.670 Aakash Tandel: for Eden. Just because, yeah, I think that’s where the the issue is. I mean, Eden doesn’t internally have a good definition for a lot of these things so like our engineers and Robert have kind of come up with a way to calculate things. But if that’s not shared across the board, and they’re like, Hey, this is different than our number. And they get kind of frustrated. So yeah, that’s been ongoing issue.
31 00:06:19.670 ⇒ 00:06:20.280 Uttam Kumaran: Okay.
32 00:06:22.750 ⇒ 00:06:25.840 Aakash Tandel: Yeah. But yeah, I I don’t know. Right now. We’re still in, like.
33 00:06:26.350 ⇒ 00:06:49.310 Aakash Tandel: I think, on both of these, we’re we’re still in a place of. We’re putting out a lot of like fires that sometimes are big, sometimes are really small things, and we’re not getting out of like the day to day, just like trying to keep our head above water. So Javi is definitely better than eating at the moment. But, I want to get both of them to that standpoint. But we’re not quite there yet.
34 00:06:51.350 ⇒ 00:07:00.710 Uttam Kumaran: Yeah, we we’re you’ll see us every few days now for the next few weeks. Get a lot better on the data accuracy side. We’re evaluating several tools
35 00:07:00.820 ⇒ 00:07:03.689 Uttam Kumaran: sort of help with this, like making sure that Prs are
36 00:07:04.040 ⇒ 00:07:09.210 Uttam Kumaran: are accurate and they get reviewed. And so it should get could get better.
37 00:07:09.510 ⇒ 00:07:11.310 Aakash Tandel: Okay, cool.
38 00:07:12.120 ⇒ 00:07:23.389 Aakash Tandel: Yeah. I mean, I think the I think I like the escalation of pulling in you for pulling you in for like Prs. We might need a little bit more Sme support on Eden. I think.
39 00:07:23.390 ⇒ 00:07:23.920 Uttam Kumaran: Okay.
40 00:07:24.140 ⇒ 00:07:25.153 Aakash Tandel: I think.
41 00:07:26.350 ⇒ 00:07:37.440 Aakash Tandel: Robert. There was a thread where Robert, I think, added you with a wish. I think so we might might need some. Yeah, it was the this one the one about.
42 00:07:38.600 ⇒ 00:07:45.029 Aakash Tandel: What was this about? There’s like a long thread about like
43 00:07:49.280 ⇒ 00:07:57.580 Aakash Tandel: it’s back order. No, it’s like semi glutide something something like this long.
44 00:07:57.580 ⇒ 00:07:58.949 Uttam Kumaran: Oh, yeah. Yeah. Yeah.
45 00:07:58.950 ⇒ 00:08:01.141 Aakash Tandel: Yeah, yeah, I think, honestly,
46 00:08:02.390 ⇒ 00:08:05.810 Uttam Kumaran: I only read what I got tagged on, so I didn’t read the other stuff.
47 00:08:06.200 ⇒ 00:08:09.969 Aakash Tandel: Yeah, that’s fair. Yeah, I’m I’m thinking. We
48 00:08:11.380 ⇒ 00:08:24.480 Aakash Tandel: at least until we’re in a better place with the client, I think, pulling you in on a couple like key items might be good just to give them a lot in a ways like backup in terms of like a second set of eyes and stuff, and that might be good, because.
49 00:08:24.480 ⇒ 00:08:26.080 Uttam Kumaran: Perfect cause I don’t need.
50 00:08:26.250 ⇒ 00:08:36.610 Uttam Kumaran: I know every I know all the stuff that’s going on. So I don’t need a lot of context. But I just want I just don’t wanna escalate if you don’t need me. So just pick. But I don’t mind. So just ping me.
51 00:08:36.960 ⇒ 00:08:41.819 Uttam Kumaran: even if you have like a slight suspicion, and I’ll tell you if there’s another option
52 00:08:42.020 ⇒ 00:08:46.319 Uttam Kumaran: pretty quickly. But I would rather come. I’d rather escalate through you first.st
53 00:08:46.930 ⇒ 00:08:49.269 Uttam Kumaran: Otherwise these guys will start pinging me for everything.
54 00:08:49.530 ⇒ 00:09:04.114 Aakash Tandel: Yeah. Yup, no, I think, yeah, I like the way it’s currently going. And I think I’m gonna start pulling in. Probably just some additional stuff. Especially once I get time to look at some of these threads that have been tagged in while I’m trying to also work the wheel trees.
55 00:09:05.320 ⇒ 00:09:06.740 Uttam Kumaran: Yeah, perfect. Okay.
56 00:09:08.470 ⇒ 00:09:12.530 Aakash Tandel: Cool amber. What you got on the on the Pm. Side.
57 00:09:13.444 ⇒ 00:09:21.440 Amber Lin: Abc is going pretty good still working on the rollouts, and we just did a sprint planning yesterday.
58 00:09:21.610 ⇒ 00:09:29.590 Amber Lin: So we know what we want to do for the next 2 weeks. Looking back on last week, the time allocation was
59 00:09:29.750 ⇒ 00:09:31.290 Amber Lin: really good.
60 00:09:33.230 ⇒ 00:09:37.400 Amber Lin: I think the hours are probably gonna stay the same.
61 00:09:38.050 ⇒ 00:09:46.800 Amber Lin: because right now it’s mostly maintenance and a little bit of development on the other bot.
62 00:09:46.960 ⇒ 00:09:54.109 Amber Lin: But we do need to get the proposal out to them. So that’s that’s more, Metaman says. And Scott.
63 00:09:55.890 ⇒ 00:09:57.699 Uttam Kumaran: Yes, so I am.
64 00:09:58.130 ⇒ 00:10:02.469 Uttam Kumaran: I am working on getting that transcript into that right now and then. I’m.
65 00:10:02.470 ⇒ 00:10:02.970 Amber Lin: That was.
66 00:10:02.970 ⇒ 00:10:03.540 Uttam Kumaran: Button.
67 00:10:04.140 ⇒ 00:10:09.479 Amber Lin: Oh, I see. Do you want me to write up a draft proposal? Or if.
68 00:10:09.480 ⇒ 00:10:16.309 Uttam Kumaran: Well, I needed. I needed to just confirm the data again with what Brian sent us.
69 00:10:16.630 ⇒ 00:10:20.470 Uttam Kumaran: and then I like couldn’t find in real. And then I had to fix a real issue.
70 00:10:21.070 ⇒ 00:10:30.310 Uttam Kumaran: But I’m basically taking all of what we talked about your findings, the data and just throwing into Gpt. And having it produce like a little proposal sheet.
71 00:10:30.550 ⇒ 00:10:31.100 Amber Lin: I know.
72 00:10:31.100 ⇒ 00:10:35.579 Uttam Kumaran: I’m gonna send it to Scott, to basically validate.
73 00:10:35.740 ⇒ 00:10:40.929 Uttam Kumaran: And then we could probably go from there. So yeah.
74 00:10:41.370 ⇒ 00:10:41.940 Amber Lin: Cool.
75 00:10:42.310 ⇒ 00:10:56.209 Amber Lin: Yeah. And then we met with the data team we met with Brian again. Today. I think I’m helping. I’m gonna make Annie own this. So it will be a lot less work on my end.
76 00:10:56.515 ⇒ 00:11:14.209 Amber Lin: Because she also knows the data stuff a lot better than I do. So her and Brian will work on a lot of the data stuff. We’re also offloading a little bit of work on some of the work to Brian as well, so that will also reduce what we need to do and get some involved, too.
77 00:11:17.653 ⇒ 00:11:21.819 Amber Lin: That’s for ABC. And then for the AI team.
78 00:11:22.656 ⇒ 00:11:44.859 Amber Lin: spending a lot of time on the foundational stuff, because that’s essentially needed to get all the context into dlt. Once we get one working, all the other ones will work pretty fast. I did ask them if, hey, if this is gonna take so long, what are we gonna show show the company, or show us at the end of Friday. So we’re gonna
79 00:11:45.290 ⇒ 00:12:01.619 Amber Lin: get a small request from the data team out first, st essentially summarizing all the random requests that you get throughout the day from the client in slack and sometimes in zoom as well, to just summarize that and then check with
80 00:12:02.200 ⇒ 00:12:20.490 Amber Lin: send it out at the end of the day probably gonna do that for Javi, since we have some of the context there and then for the sales one, we also want to get started on the lead. Follow up, Agent. So Mcdonald. Wrote out a more detailed specs for that.
81 00:12:20.620 ⇒ 00:12:21.990 Amber Lin: So that’s 2.
82 00:12:22.700 ⇒ 00:12:26.700 Uttam Kumaran: So the date is the data stuff like getting blocked like.
83 00:12:27.260 ⇒ 00:12:29.800 Uttam Kumaran: like or like, how do you feel about all that work?
84 00:12:30.596 ⇒ 00:12:31.190 Amber Lin: The data.
85 00:12:31.190 ⇒ 00:12:32.210 Uttam Kumaran: Data, in.
86 00:12:32.210 ⇒ 00:12:33.079 Amber Lin: Yeah, to
87 00:12:33.350 ⇒ 00:12:44.510 Amber Lin: honest, it’s getting a little blocked. But we decided that we’re gonna use use our current existing infrastructure that’s not in dlt yet to
88 00:12:44.680 ⇒ 00:13:02.039 Amber Lin: make something for the team. And also I’m gonna try and get the AI prompt library and getting doing some workshops for the team. So a lot of focus on education, since more of the more technical and foundation stuff is a little bit stuck.
89 00:13:03.260 ⇒ 00:13:08.779 Amber Lin: But it’s going they’re meeting with Patrick soon, so that will also help.
90 00:13:14.020 ⇒ 00:13:14.620 Aakash Tandel: Next.
91 00:13:14.800 ⇒ 00:13:25.109 Amber Lin: Yeah. And then for stack lists, as we jump, said, they don’t want us anymore. So last 2 weeks of work from them.
92 00:13:26.720 ⇒ 00:13:51.989 Amber Lin: there’s that not much work, just few documentation tickets here and there and then for pool parts going really? Well, actually, at least from my perspective, we’re getting a lot of contact with the stakeholders we met with. We meet with him daily, and then today she grabbed another one, a person who’s in charge of the Amazon fees. And then tomorrow, we’re meeting with Chuck
93 00:13:51.990 ⇒ 00:14:00.449 Amber Lin: on the shipping data. So that will solve a lot of problems about the data discrepancies. Because essentially, it’s not our fault. It’s just. They never told us
94 00:14:00.450 ⇒ 00:14:08.540 Amber Lin: that there was a discrepancy, so we would never have known, and we also never had what they think is accurate. So now everything’s going on track.
95 00:14:08.540 ⇒ 00:14:09.100 Uttam Kumaran: Hmm.
96 00:14:11.710 ⇒ 00:14:18.880 Uttam Kumaran: okay, great, yeah. I think that’s amazing in terms of yeah. So I’ll probably start to loop you and amber on urban stem stuff.
97 00:14:22.690 ⇒ 00:14:26.470 Uttam Kumaran: So then you can be ready, because the stock list is kind of
98 00:14:26.640 ⇒ 00:14:28.900 Uttam Kumaran: getting lower than you have capacity. There.
99 00:14:28.900 ⇒ 00:14:29.570 Uttam Kumaran: Yeah.
100 00:14:29.570 ⇒ 00:14:33.900 Uttam Kumaran: I’ll start looping you in, and then maybe we can do a meeting this week with me, you, Demo A,
101 00:14:34.030 ⇒ 00:14:40.510 Uttam Kumaran: or we’re just all of us, or we can talk about it. And if we do an allocation meeting just about like what our needs are there?
102 00:14:41.110 ⇒ 00:14:49.129 Uttam Kumaran: I will. I’ll need your help there to create like a little bit of a roadmap for that client. As we go into the next. Basically.
103 00:14:49.790 ⇒ 00:14:54.720 Uttam Kumaran: like a week before mother’s day, we’ll probably week or 2 before mother’s day. We’ll probably start to reach
104 00:14:55.651 ⇒ 00:15:01.149 Uttam Kumaran: like a negotiation on the next phase. But I also, I also may need a little bit of your help.
105 00:15:01.770 ⇒ 00:15:09.910 Uttam Kumaran: We are. I’m I’m gonna try to ask for. We’re currently at 15 h. But we’re we’re basically hitting that and going over. So I’m gonna ask
106 00:15:11.480 ⇒ 00:15:25.139 Uttam Kumaran: I’m gonna ask to move it up to 20. However, I wanted to get a Pm. Involved before I do that, because it’s all gonna be sort of looking at clockify and things like that. So right now, it’s just me and them a lot of billing
107 00:15:25.564 ⇒ 00:15:26.620 Uttam Kumaran: but again, I want.
108 00:15:26.620 ⇒ 00:15:29.659 Amber Lin: If you add a Pm. We’ll do even more hours.
109 00:15:30.580 ⇒ 00:15:44.669 Uttam Kumaran: Exactly. Yeah, but but meaning it’s not. I don’t want to add a Pm. In terms of like we don’t need. It’s sort of one off tickets. But what I’m gonna tell them is that even with the one off stuff that we’re working on, we’re we’re getting to over 15 h.
110 00:15:45.222 ⇒ 00:15:49.589 Uttam Kumaran: But I want to get one of you guys involved in seeing that and working with me. Cause
111 00:15:50.230 ⇒ 00:15:56.140 Uttam Kumaran: you guys want, you know, Amber, you’ll probably end up owning this as soon as we get over the the mother’s day line, so
112 00:15:57.490 ⇒ 00:16:01.150 Uttam Kumaran: I’ll just what I’m saying is, I’ll just let you know if I need like, hey, can we compare
113 00:16:01.460 ⇒ 00:16:03.449 Uttam Kumaran: actuals? For to billing.
114 00:16:03.660 ⇒ 00:16:04.540 Amber Lin: Oh, cool! That will.
115 00:16:04.540 ⇒ 00:16:05.629 Uttam Kumaran: For, like the last 2 weeks.
116 00:16:05.630 ⇒ 00:16:14.700 Amber Lin: Super fast as long as you 2 log your hours correctly. That doesn’t take time. It’s just if you do it as a daily habit of logging your hours.
117 00:16:14.900 ⇒ 00:16:15.490 Uttam Kumaran: Okay.
118 00:16:15.680 ⇒ 00:16:16.220 Amber Lin: Yeah.
119 00:16:17.080 ⇒ 00:16:25.399 Amber Lin: and I can start on the roadmap as long as I get some context on it. So I’ll loop. I’ll loop back to you about that.
120 00:16:25.670 ⇒ 00:16:26.240 Uttam Kumaran: Okay.
121 00:16:30.970 ⇒ 00:16:36.870 Amber Lin: Do you want to update your Pm updates on the marketing team or the Ops team? Anything from.
122 00:16:38.200 ⇒ 00:16:40.460 Amber Lin: Whereas it’s okay if you don’t want to.
123 00:16:41.700 ⇒ 00:16:58.199 Uttam Kumaran: Yes, I do want to. So on marketing side, yeah, we’re starting our new cycle today. Our main priorities are to finish up all of the work we need to produce high quality diagrams in like 2 days or less.
124 00:16:58.895 ⇒ 00:17:04.260 Uttam Kumaran: So that’s really good. I mean, have you? If you guys saw the Javi and Eden diagrams. They look really good.
125 00:17:04.260 ⇒ 00:17:04.980 Amber Lin: Yeah.
126 00:17:05.210 ⇒ 00:17:11.730 Uttam Kumaran: The ABC diagram should come out. If if the ABC team can provide that guidance
127 00:17:11.910 ⇒ 00:17:14.219 Uttam Kumaran: and should be able to finish that up.
128 00:17:14.520 ⇒ 00:17:18.479 Uttam Kumaran: we’re gonna finish the one for urban stems as well here soon.
129 00:17:20.490 ⇒ 00:17:34.749 Uttam Kumaran: and then, basically, we can now produce any diagram we want in just like one or 2 days, which is really really great. We have. We had a marketing event last week. We have one on Thursday. We have one next Tuesday, so probably, like 2030% of their time is focused on
130 00:17:35.180 ⇒ 00:17:37.699 Uttam Kumaran: all of the execution related to that.
131 00:17:37.820 ⇒ 00:17:45.069 Uttam Kumaran: So Linkedin post designs. And then post events recap stuff, repurposing videos. Things like that.
132 00:17:45.729 ⇒ 00:17:52.245 Uttam Kumaran: The other piece we are working on for them is
133 00:17:56.140 ⇒ 00:18:05.460 Uttam Kumaran: yeah, finalizing all of our one pagers. And then we’re also, we’re working on a white paper today that should go out tomorrow.
134 00:18:06.005 ⇒ 00:18:11.890 Uttam Kumaran: And so we’re starting to basically have infrastructure to start to develop white papers and put them behind landing pages. Things like that.
135 00:18:12.400 ⇒ 00:18:25.019 Uttam Kumaran: And the last piece that I want done in the next 2 weeks is basically our partnership kit. So everything around like we’re gonna start to interact with partners and get them to sign deals with us so they can send us leads.
136 00:18:25.230 ⇒ 00:18:31.980 Uttam Kumaran: We have a like a design sort of set of materials regarding that. So that should also get done by the end of the week.
137 00:18:32.330 ⇒ 00:18:35.860 Uttam Kumaran: and then we’ll have one or 2 random things come up, but that’s most of it for
138 00:18:36.840 ⇒ 00:18:45.520 Uttam Kumaran: marketing. So again, I’m trying to get them the habit of saying like we should be able to take on any one of these requests and execute whether it’s a case. Study a deck, a 1 page, or a white paper
139 00:18:46.192 ⇒ 00:18:47.460 Uttam Kumaran: or a promotion.
140 00:18:49.260 ⇒ 00:18:53.789 Uttam Kumaran: So that’s that. The website still needs a lot of work. But we’ll start to work on that
141 00:18:54.040 ⇒ 00:18:59.260 Uttam Kumaran: ideally next week as I start to. I’m starting to send Haleem some work as well
142 00:18:59.430 ⇒ 00:19:05.750 Uttam Kumaran: on the operations team. Yeah, this this team, like it’s still sort of like helping out where where we need
143 00:19:06.845 ⇒ 00:19:08.840 Uttam Kumaran: like for contracts.
144 00:19:09.213 ⇒ 00:19:14.530 Uttam Kumaran: We’re working on a new offer letter process we have. We’ll have a meeting on Thursday with our new finance team.
145 00:19:14.800 ⇒ 00:19:22.270 Uttam Kumaran: and I’m basically looping in Mary on on anything I need. I do finance wise. So you can sort of be the 1st escalation point.
146 00:19:24.070 ⇒ 00:19:26.340 Uttam Kumaran: But yeah, probably not a whole lot on that team.
147 00:19:30.060 ⇒ 00:19:32.199 Aakash Tandel: Okay, cool. Yeah, that makes sense.
148 00:19:34.620 ⇒ 00:19:53.289 Aakash Tandel: Yeah. Yeah. Miriam was asking me if I there’s anything they could help out with on the Pm. Side of things, and I think one of the things I’m still looking at is trying to get weights. But yeah, I think whatever she can help out with is is helpful. No. Last week away, and
149 00:19:53.790 ⇒ 00:20:00.720 Aakash Tandel: is it Casey or someone hadn’t logged hours? Have they logged hours by this point? I don’t know if that’s let me check.
150 00:20:03.030 ⇒ 00:20:09.826 Aakash Tandel: I think that would be something that’s good, because I know I know. Always spend a lot of time on
151 00:20:10.340 ⇒ 00:20:14.739 Aakash Tandel: Well, both everything last week. So
152 00:20:15.840 ⇒ 00:20:20.289 Aakash Tandel: getting his hours is helpful for some of our projects.
153 00:20:22.890 ⇒ 00:20:25.409 Uttam Kumaran: Yeah, not now. I guess my question is, gonna be.
154 00:20:25.530 ⇒ 00:20:29.070 Uttam Kumaran: this is something that’s gonna span more than the AI team which is getting
155 00:20:29.623 ⇒ 00:20:36.879 Uttam Kumaran: getting clockify and operating data into like Snowflake. So I can start to put up dashboards on this.
156 00:20:37.470 ⇒ 00:20:43.082 Uttam Kumaran: I guess, Amber, I may just meet with that team, and if I may, I don’t know if I have it. If I have time I may
157 00:20:43.900 ⇒ 00:20:46.470 Uttam Kumaran: I may try to just rip a pipeline for that.
158 00:20:47.080 ⇒ 00:20:54.760 Amber Lin: Okay. It is very important, because a lot of it is manual for us right now. And it’s takes a while.
159 00:20:55.340 ⇒ 00:20:59.620 Uttam Kumaran: Okay, yeah, I I know it’s gonna be like, I want them to meet with Patrick
160 00:20:59.990 ⇒ 00:21:10.390 Uttam Kumaran: like I wouldn’t. I would meet with them. But it’s I’m just. It’s hard for me to get the time right now. But I may. I may just try to get some of that data into snowflake. So I can toss it in rail so we can start to look at it.
161 00:21:12.300 ⇒ 00:21:16.610 Uttam Kumaran: Both the data from operating and the data from clockify in one place.
162 00:21:18.480 ⇒ 00:21:23.739 Uttam Kumaran: but yeah. And and I’m gonna start to work with Annie on some of that stuff as well as internal reporting.
163 00:21:26.820 ⇒ 00:21:38.259 Aakash Tandel: Yeah, that makes sense. Yeah, I think I am skeptical about the hours I’m seeing logged for last week in clockify specifically from
164 00:21:38.480 ⇒ 00:21:45.360 Aakash Tandel: Demo Lada, and awash. I’m seeing total of 6 h from Awaii and 4 h from Dema lade
165 00:21:45.966 ⇒ 00:21:51.350 Aakash Tandel: that seems way too low. So not sure. Yeah, not sure if we.
166 00:21:51.350 ⇒ 00:21:52.859 Uttam Kumaran: And send a note right now.
167 00:21:54.270 ⇒ 00:21:58.019 Aakash Tandel: Yeah, that’s like, that’s like the main thing I like.
168 00:21:58.160 ⇒ 00:22:00.140 Aakash Tandel: I think we
169 00:22:00.400 ⇒ 00:22:06.990 Aakash Tandel: are spending a lot of time on these plants. But I can’t tell, you know, if that’s true or not based off of what
170 00:22:07.790 ⇒ 00:22:09.730 Aakash Tandel: I’m seeing a clockify.
171 00:22:15.280 ⇒ 00:22:16.070 Aakash Tandel: Yeah.
172 00:22:17.720 ⇒ 00:22:19.049 Uttam Kumaran: Okay, I’ll send them a note.
173 00:22:19.540 ⇒ 00:22:25.679 Uttam Kumaran: Yeah, I mean, I’m going to for this 1st 2 2 weeks, like, I’ll be a little bit kind to everybody.
174 00:22:25.820 ⇒ 00:22:32.979 Uttam Kumaran: But in a few more weeks I’ll start to do this in in the open channels, basically, cause. That’s just the way this is gonna work.
175 00:22:32.980 ⇒ 00:22:59.619 Aakash Tandel: Yeah, in the beginning, I understand. Like, you know, it’s cool to like, DM, them, or whatever but yeah, eventually, we want everyone to be on the same page. And then like for the clients that are really scrutinizing how much time it takes to do, like whatever task like, I’m thinking, like I’m on from Joby like it would be really helpful for me to be like, Hey, look! This one thing you asked for took us like 7 h of the 10 but right now I can’t see that in the details, because we don’t have
176 00:22:59.840 ⇒ 00:23:05.510 Aakash Tandel: like, for example, for Kyle’s actually, Kyle has some
177 00:23:05.790 ⇒ 00:23:13.509 Aakash Tandel: good information. It just says Joby Slash Amazon. But yeah, that’s getting. It’s a little hard for everyone.
178 00:23:16.300 ⇒ 00:23:20.549 Uttam Kumaran: Yeah. So just keep pinging people, and then just let me know if they don’t message, I’ll I’ll ping
179 00:23:22.140 ⇒ 00:23:22.960 Uttam Kumaran: But yeah.
180 00:23:23.330 ⇒ 00:23:29.469 Aakash Tandel: Okay, sweet, that’s all I got. Yeah, just.
181 00:23:30.632 ⇒ 00:23:37.200 Amber Lin: I am so drained from meetings. So it’s 6.
182 00:23:37.200 ⇒ 00:23:37.650 Uttam Kumaran: Yeah.
183 00:23:37.650 ⇒ 00:23:40.020 Amber Lin: I’m so dead.
184 00:23:40.020 ⇒ 00:23:45.760 Uttam Kumaran: Yeah, that’s the thing. I also think at some point. Well, you know, my advice, for for this sort of stuff is like.
185 00:23:46.030 ⇒ 00:23:56.139 Uttam Kumaran: Stand up is going to be hard to get away from. But any meeting you should always try to see like, how can this have been done, Async, or nominate someone to to sort of lead parts of it.
186 00:23:56.854 ⇒ 00:23:59.530 Uttam Kumaran: Especially as you’re meeting with engineering teams like
187 00:23:59.800 ⇒ 00:24:04.879 Uttam Kumaran: you’re meeting with the AI team like hand it over to Casey or to Miguel to run. Stand up like.
188 00:24:05.260 ⇒ 00:24:07.799 Uttam Kumaran: That’s a good way to sort of take a little bit of the load off
189 00:24:08.595 ⇒ 00:24:11.170 Uttam Kumaran: but also stagger meetings like.
190 00:24:11.560 ⇒ 00:24:15.360 Uttam Kumaran: if you can’t do it all, if you can’t do it all in one day, then just push a little bit.
191 00:24:16.280 ⇒ 00:24:31.740 Aakash Tandel: Yeah. And I, I wanted to do a refinement of some of the tickets that we had for Joby. And instead of booking a different one. I just took stand up. I was like, Hey, we’re gonna run through your stand ups like in less than 5 min total. And then we’re gonna move on to refinement stuff. So that that’s another thing to
192 00:24:31.900 ⇒ 00:24:38.940 Aakash Tandel: stand up like a generic time slot where I know I have everyone’s time. So if I can use that for something else, and you know we can move through. Stand up quickly. That’s fine.
193 00:24:39.840 ⇒ 00:24:40.500 Uttam Kumaran: Okay.
194 00:24:40.500 ⇒ 00:24:41.110 Aakash Tandel: Yep.
195 00:24:41.260 ⇒ 00:24:45.359 Amber Lin: Yeah. And today, we didn’t really need to run stand ups for ABC
196 00:24:47.560 ⇒ 00:24:50.389 Amber Lin: as well as to me. I mean, yeah.
197 00:24:51.600 ⇒ 00:24:56.969 Aakash Tandel: Alrighty! Alright! Y’all let me know if you need anything from my end. I will talk to you soon.
198 00:24:57.560 ⇒ 00:24:59.159 Uttam Kumaran: Okay. Thank you.
199 00:24:59.390 ⇒ 00:25:00.120 Amber Lin: Yeah.