Meeting Title: Engineering Leads Sync Date: 2025-09-10 Meeting participants: Awaish Kumar, Shreya Chowdhury, Samuel Roberts, Uttam Kumaran
WEBVTT
1 00:01:00.540 ⇒ 00:01:02.650 Awaish Kumar: I’m trying to… I’m not…
2 00:01:10.590 ⇒ 00:01:11.550 Awaish Kumar: Hello?
3 00:01:14.920 ⇒ 00:01:20.510 Awaish Kumar: Loans… I can’t hear you.
4 00:01:27.020 ⇒ 00:01:29.620 Awaish Kumar: Is it me only, or Sam?
5 00:01:29.620 ⇒ 00:01:32.120 Samuel Roberts: No, I think I’m fixing it, hold on.
6 00:01:32.900 ⇒ 00:01:34.470 Samuel Roberts: Something is weird here.
7 00:01:35.240 ⇒ 00:01:36.540 Awaish Kumar: I can hear you.
8 00:01:37.700 ⇒ 00:01:39.709 Samuel Roberts: Okay, yep, Rad, I can hear you guys now, too.
9 00:01:40.420 ⇒ 00:01:47.960 Awaish Kumar: So, I have shared that motion doc, if you could just take 5 minutes before Futam joins.
10 00:01:48.200 ⇒ 00:01:49.729 Awaish Kumar: If you could just write down.
11 00:02:09.500 ⇒ 00:02:12.230 Shreya Chowdhury: Are you guys able to hear me now? Is that better?
12 00:02:12.480 ⇒ 00:02:13.530 Awaish Kumar: Yep.
13 00:02:13.530 ⇒ 00:02:14.070 Samuel Roberts: Yes.
14 00:02:14.070 ⇒ 00:02:14.610 Shreya Chowdhury: Okay.
15 00:03:33.580 ⇒ 00:03:34.340 Uttam Kumaran: Hey guys.
16 00:03:35.890 ⇒ 00:03:36.430 Samuel Roberts: Bing.
17 00:03:38.960 ⇒ 00:03:39.670 Awaish Kumar: Hello.
18 00:03:45.440 ⇒ 00:03:48.900 Awaish Kumar: Okay. Should we start?
19 00:03:50.710 ⇒ 00:03:51.220 Uttam Kumaran: Yeah.
20 00:03:53.100 ⇒ 00:03:58.549 Awaish Kumar: Okay, so… I’ll just share this link.
21 00:03:59.130 ⇒ 00:04:01.890 Awaish Kumar: The Zoom as well, if you want to open.
22 00:04:11.180 ⇒ 00:04:14.579 Awaish Kumar: Okay, I’ll go first, here.
23 00:04:14.970 ⇒ 00:04:23.349 Awaish Kumar: So, I only… I’m only concerned about Aiden Tableau, as we discussed last time as well, on this,
24 00:04:23.870 ⇒ 00:04:28.900 Awaish Kumar: Although, like, and we, as per your suggestion, we try to communicate that
25 00:04:29.210 ⇒ 00:04:33.990 Awaish Kumar: And I asked with, Robert and Henry what I…
26 00:04:34.110 ⇒ 00:04:38.979 Awaish Kumar: Like, the robot side, he will do it, but obviously he’s… he’s busy, and that’s.
27 00:04:38.980 ⇒ 00:04:39.350 Uttam Kumaran: Yeah.
28 00:04:39.880 ⇒ 00:04:41.439 Awaish Kumar: It wasn’t done.
29 00:04:41.600 ⇒ 00:04:45.030 Awaish Kumar: And, yeah, I’m not sure…
30 00:04:45.320 ⇒ 00:04:49.740 Awaish Kumar: like, what… like, the Henry and Robert, like, they…
31 00:04:49.950 ⇒ 00:04:59.839 Awaish Kumar: talk to each other, but I don’t have context there, like, what they… what happened between them. But Robert wanted, like, took over Andy’s work, and then was not done.
32 00:04:59.840 ⇒ 00:05:00.830 Uttam Kumaran: That’s 6 or 19.
33 00:05:00.830 ⇒ 00:05:01.590 Awaish Kumar: Bowl.
34 00:05:01.850 ⇒ 00:05:03.500 Uttam Kumaran: Okay?
35 00:05:03.500 ⇒ 00:05:09.840 Awaish Kumar: Let me just see… There, it’s, like, the overall.
36 00:05:09.840 ⇒ 00:05:12.290 Uttam Kumaran: Is that just, like, Tableau stuff, or what is it?
37 00:05:12.680 ⇒ 00:05:28.140 Awaish Kumar: Yeah, it’s just Tableau stuff. We, like, there’s one dashboard which is, like, being delayed, like, so it’s not that our general, like, client is not really pushing for it, but also, like, we haven’t delivered any Tableau work in the last two weeks.
38 00:05:29.980 ⇒ 00:05:36.569 Uttam Kumaran: Okay, I mean, on… so on Monday, I… what I asked for you and Amber is to just tell me, like, what the decision is.
39 00:05:36.900 ⇒ 00:05:42.699 Uttam Kumaran: So, I still am kind of in that point, because Robert said he can handle Tableau stuff.
40 00:05:42.700 ⇒ 00:05:43.260 Awaish Kumar: Yeah.
41 00:05:43.260 ⇒ 00:05:45.710 Uttam Kumaran: Henry said he can handle Tableau stuff.
42 00:05:45.850 ⇒ 00:05:48.409 Uttam Kumaran: Now we’re, like, still locked, so, like…
43 00:05:49.250 ⇒ 00:05:52.650 Uttam Kumaran: still come What do you… what do I… what can I do about it, you know?
44 00:05:53.910 ⇒ 00:05:57.260 Awaish Kumar: Yeah, like, that’s what I, like…
45 00:05:57.880 ⇒ 00:06:00.850 Awaish Kumar: We tried to ask both of them, and…
46 00:06:01.340 ⇒ 00:06:06.200 Awaish Kumar: like, Robert, I will take over, but obviously his schedule is not…
47 00:06:06.710 ⇒ 00:06:13.249 Awaish Kumar: Did not let him do that, so we should find another person. That’s… that’s what… my suggestion.
48 00:06:15.330 ⇒ 00:06:20.400 Uttam Kumaran: Okay, so then I think one is, like, I would like to make sure Amber is on that same page with you.
49 00:06:20.770 ⇒ 00:06:26.040 Uttam Kumaran: And then, can you give me… if you can give me an understanding of…
50 00:06:26.300 ⇒ 00:06:30.880 Uttam Kumaran: Like, what the budget, or what… how many hours you would need this person for.
51 00:06:31.670 ⇒ 00:06:33.220 Uttam Kumaran: I didn’t go find that.
52 00:06:33.710 ⇒ 00:06:39.179 Awaish Kumar: Okay, yeah, like… Shrim mentioned that she…
53 00:06:39.440 ⇒ 00:06:44.600 Awaish Kumar: she also has a lot of experience with Tableau. So right now, we only have one Tableau task.
54 00:06:44.980 ⇒ 00:06:45.640 Uttam Kumaran: Okay.
55 00:06:46.380 ⇒ 00:06:51.170 Awaish Kumar: if she can just handle that, like… but for the future, I will figure out, like,
56 00:06:51.330 ⇒ 00:06:56.560 Awaish Kumar: How much we need weekly, but for now, we’ll just have one dashboard.
57 00:06:57.950 ⇒ 00:07:01.270 Uttam Kumaran: Wait, sorry, who, who, who has Tableau Experience on our side?
58 00:07:01.420 ⇒ 00:07:03.300 Awaish Kumar: Like Shire mentioned, when I spoke.
59 00:07:03.300 ⇒ 00:07:06.479 Uttam Kumaran: Oh, okay, okay. Sorry, I didn’t hear it.
60 00:07:06.880 ⇒ 00:07:13.689 Uttam Kumaran: Okay, I mean, but I guess this is kind of, like, I’m gonna put it back on you, like, you, Amber, and Robert.
61 00:07:13.880 ⇒ 00:07:18.410 Uttam Kumaran: To come to a decision on, like, whether we need an external person, or whether…
62 00:07:19.380 ⇒ 00:07:23.100 Uttam Kumaran: Yeah, like, Shreya can handle it, or what we want to do.
63 00:07:23.620 ⇒ 00:07:24.900 Awaish Kumar: Okay.
64 00:07:24.900 ⇒ 00:07:37.720 Shreya Chowdhury: I have some experience with Tableau, but I’m not sure if I have bandwidth right now, because I am working on default stuff, Ellie stuff, Insomnia, and internal playbooks.
65 00:07:37.920 ⇒ 00:07:42.520 Uttam Kumaran: Yeah, so I would say no. Yeah, so I would say definitely not. So this is where Awash, like.
66 00:07:42.640 ⇒ 00:07:50.119 Uttam Kumaran: We’re gonna… we’re having… we’re having this conversation now, like, 3 times in a week and a half, where I’m constantly hearing about Eden and Tableau.
67 00:07:50.420 ⇒ 00:07:53.069 Uttam Kumaran: I’m gonna say the same thing I said on Monday.
68 00:07:53.290 ⇒ 00:07:56.519 Uttam Kumaran: Someone has to come to me with, like, what the play is.
69 00:07:57.600 ⇒ 00:08:04.239 Uttam Kumaran: Like, I get you have a perspective, but you, Amber, and Robert have to be on the same page, otherwise I can’t do anything.
70 00:08:05.920 ⇒ 00:08:06.790 Awaish Kumar: Okay.
71 00:08:06.790 ⇒ 00:08:18.919 Uttam Kumaran: Like, I don’t want to rehash this every two days. Like, I get that it’s a problem, but give me the path forward. Like, I told you we can bring on Andre, but last time we talked, we said we don’t need to do that.
72 00:08:19.300 ⇒ 00:08:23.799 Uttam Kumaran: Still, we’re in that spot. So, like, I just want to know what the path forward is.
73 00:08:24.510 ⇒ 00:08:27.000 Awaish Kumar: Yeah, so, like, last time I…
74 00:08:27.470 ⇒ 00:08:32.480 Awaish Kumar: we didn’t get, like, give enough time to Henry, that’s why I wanted
75 00:08:32.630 ⇒ 00:08:38.640 Awaish Kumar: to at least give them a week. So now, after that, if it’s not finished, like, I would say we…
76 00:08:38.929 ⇒ 00:08:40.960 Awaish Kumar: You should have another person.
77 00:08:43.240 ⇒ 00:08:54.909 Uttam Kumaran: So, I’m… I’m totally okay with that, but, like, we need… I need to know that Amber and Robert are also in agreeance with these, so you three should meet and come to a decision on this.
78 00:08:55.770 ⇒ 00:08:57.319 Awaish Kumar: Okay, sure.
79 00:08:58.160 ⇒ 00:08:58.810 Uttam Kumaran: Yeah.
80 00:08:59.430 ⇒ 00:09:06.920 Uttam Kumaran: Like, and then a decision, if we’re gonna go… if we need to get someone, I need to know, sort of, like, how many hours, and, like, kind of, like, what our budget is.
81 00:09:08.000 ⇒ 00:09:09.690 Awaish Kumar: Yeah, sure.
82 00:09:10.300 ⇒ 00:09:14.729 Uttam Kumaran: Yeah, I mean, if it’s still lingering and you’re not able to get it in stand-up or on Slack, I would…
83 00:09:14.920 ⇒ 00:09:18.010 Uttam Kumaran: Get them on a call, and… and… Hash it out.
84 00:09:19.920 ⇒ 00:09:24.790 Awaish Kumar: Okay, I will do that. I’ll try to get the answer by maybe end of day.
85 00:09:25.310 ⇒ 00:09:26.409 Uttam Kumaran: Okay, okay.
86 00:09:26.410 ⇒ 00:09:26.820 Awaish Kumar: Beautiful.
87 00:09:27.610 ⇒ 00:09:29.000 Awaish Kumar: Okay, thank you.
88 00:09:29.160 ⇒ 00:09:34.000 Awaish Kumar: And, yeah, second thing is,
89 00:09:34.690 ⇒ 00:09:39.139 Awaish Kumar: Yeah, building, like, dashboards, so I don’t know if you…
90 00:09:39.840 ⇒ 00:09:42.990 Awaish Kumar: Had a chance to review the data platform work.
91 00:09:44.920 ⇒ 00:09:47.909 Uttam Kumaran: I haven’t, yeah, I wanted to do it,
92 00:09:48.390 ⇒ 00:09:53.599 Uttam Kumaran: last night, but I didn’t… I haven’t had a chance today, so I’ll have to look at it as soon as I get to it today.
93 00:09:54.040 ⇒ 00:09:58.160 Awaish Kumar: Yeah, but that’s mainly just adding a few more fields there.
94 00:10:00.210 ⇒ 00:10:01.430 Uttam Kumaran: The linear stuff?
95 00:10:02.070 ⇒ 00:10:07.830 Awaish Kumar: Yeah, so number one is in the linear stuff, I added all the metrics we wanted to…
96 00:10:08.330 ⇒ 00:10:12.109 Awaish Kumar: calculate for, like, first… first few OKRs.
97 00:10:12.250 ⇒ 00:10:13.800 Awaish Kumar: And, yeah.
98 00:10:13.930 ⇒ 00:10:15.620 Uttam Kumaran: Then I…
99 00:10:15.850 ⇒ 00:10:18.750 Awaish Kumar: I’m planning to work on GitHub data.
100 00:10:19.040 ⇒ 00:10:23.469 Awaish Kumar: And, like, for our, like, monthly reviews, we need some…
101 00:10:23.960 ⇒ 00:10:28.129 Awaish Kumar: like, PR, and when it started, when it was closed, things like that.
102 00:10:28.590 ⇒ 00:10:30.720 Uttam Kumaran: Okay. So I will just…
103 00:10:30.940 ⇒ 00:10:35.829 Awaish Kumar: Work on that as well in the next, 5 to 7 days.
104 00:10:37.140 ⇒ 00:10:38.110 Uttam Kumaran: Okay, okay.
105 00:10:38.780 ⇒ 00:10:39.710 Awaish Kumar: Yeah, I’m not…
106 00:10:39.710 ⇒ 00:10:40.130 Uttam Kumaran: That’s fine.
107 00:10:41.750 ⇒ 00:10:42.700 Awaish Kumar: Oh…
108 00:10:42.700 ⇒ 00:10:45.789 Uttam Kumaran: Yeah, not the… not… I would say not the highest priority versus
109 00:10:45.920 ⇒ 00:10:50.510 Uttam Kumaran: You know, anything for clients and sales, so… Yeah, makes sense.
110 00:10:51.260 ⇒ 00:10:52.790 Awaish Kumar: Okay, yeah.
111 00:10:53.140 ⇒ 00:10:58.980 Awaish Kumar: And then I have hidden development work, that’s okay, yeah. Yeah, nothing else.
112 00:10:59.980 ⇒ 00:11:01.139 Uttam Kumaran: Okay, okay.
113 00:11:02.620 ⇒ 00:11:03.050 Awaish Kumar: Okay.
114 00:11:03.050 ⇒ 00:11:03.600 Uttam Kumaran: Cool.
115 00:11:05.120 ⇒ 00:11:06.400 Uttam Kumaran: Sure.
116 00:11:07.360 ⇒ 00:11:09.389 Uttam Kumaran: Or, yeah. Whatever order.
117 00:11:12.250 ⇒ 00:11:14.660 Uttam Kumaran: Yeah, maybe, Sherry, you’re next on the list, so feel free.
118 00:11:14.660 ⇒ 00:11:21.889 Shreya Chowdhury: Yeah, yeah, I can go. So today, I’m just working on, wrapping up the request from yesterday for default.
119 00:11:22.180 ⇒ 00:11:32.279 Shreya Chowdhury: Yesterday, I synced with Robert, for a couple hours, and we chatted about insomnia stuff and Ellie stuff.
120 00:11:32.280 ⇒ 00:11:33.100 Uttam Kumaran: S.
121 00:11:33.100 ⇒ 00:11:45.189 Shreya Chowdhury: So, Ellie, yeah, it went well. We finally got, I don’t know if we’re gonna meet our timeline, because, they just got back to me, like, yesterday with feedback on the day.
122 00:11:45.190 ⇒ 00:12:03.209 Shreya Chowdhury: But yeah, now that they have it, I’m just gonna edit the Figma design. We already have, like, a design for the funnel, and then the plan is just to sync with, Adam and, like, if there’s any additional data, people on their data team, to set up the dashboard.
123 00:12:03.260 ⇒ 00:12:10.349 Samuel Roberts: Robert ideally would like to have something, like, it doesn’t have to be completed, but just something to show by the end of the week.
124 00:12:10.350 ⇒ 00:12:17.630 Shreya Chowdhury: Before we get into, like, talking about renewals with them. So I’m going to try and…
125 00:12:18.080 ⇒ 00:12:23.089 Shreya Chowdhury: prioritize the default thing for today, and then Ellie, secondly.
126 00:12:23.150 ⇒ 00:12:24.570 Uttam Kumaran: Okay.
127 00:12:24.860 ⇒ 00:12:33.639 Shreya Chowdhury: I have… yesterday, he also helped onboard me to Insomnia, so there’s, like, a lot of product analytics work there.
128 00:12:33.700 ⇒ 00:12:51.849 Shreya Chowdhury: I… we have, like, our first go-to is, like, there’s, like, some key business questions, so I’m just gonna break those up into different tickets, because I think each one will take, like, one to two days. So I’m probably gonna spend some time later after the LEN default stuff, just to, like.
129 00:12:51.850 ⇒ 00:12:55.289 Shreya Chowdhury: organize all of those and get started.
130 00:12:55.290 ⇒ 00:12:55.910 Uttam Kumaran: Bye.
131 00:12:55.910 ⇒ 00:13:04.239 Shreya Chowdhury: and then as I onboard, I’ll probably be able to, make a little more, like… like, as I onboard, I’ll be able to organize all those links, but…
132 00:13:04.240 ⇒ 00:13:17.799 Shreya Chowdhury: Yeah, I got a good look into a lot of the data, the business questions. Like, it should be interesting and easy to answer, but I think I’m going to make that my third priority, just because I want to get these two things out of the way first.
133 00:13:17.800 ⇒ 00:13:29.989 Shreya Chowdhury: And then, after that, I have the two internal playbooks, so the cohort analysis and the funnel analysis, and I think Henry’s gonna take, the attribute one.
134 00:13:30.060 ⇒ 00:13:35.039 Shreya Chowdhury: I’m hoping to have one of those playbooks done by the end of the week, by Friday.
135 00:13:35.570 ⇒ 00:13:41.500 Uttam Kumaran: Okay. Okay, great. So on… on… I would say, yeah, like, don’t be,
136 00:13:41.990 ⇒ 00:13:46.499 Uttam Kumaran: I would say the worst option here is if you’re, like.
137 00:13:46.890 ⇒ 00:13:52.640 Uttam Kumaran: just say yes to all the work, and it’s gonna keep coming your way. So definitely be a little bit discerning with, like.
138 00:13:53.020 ⇒ 00:13:57.390 Uttam Kumaran: what the priorities are. Like, the reason I was, like.
139 00:13:57.530 ⇒ 00:14:05.380 Uttam Kumaran: help with default is I kind of would love… like, on every client, I want there to be some, like, backup coverage, like, even in the slightest way.
140 00:14:05.460 ⇒ 00:14:25.170 Uttam Kumaran: So, I think it’s helpful for you to at least just, like, do a couple of these basic things on default, because at minimum, at least you can help Henry review any of his work that he’s gonna be pushing out. And he was just sick, and I want to see if we can get a couple of these big things done, but certainly, I think you’ll have your hands full, hopefully, with Insomnia and Ellie.
141 00:14:25.310 ⇒ 00:14:31.420 Uttam Kumaran: And then, of course, like, playbooks come last, so even if you get, like, even if you get asked
142 00:14:31.610 ⇒ 00:14:37.849 Uttam Kumaran: about it, you just… just be honest with where you’re at. So don’t feel any… don’t feel any, like, hidden pressure. Clients.
143 00:14:38.120 ⇒ 00:14:41.169 Uttam Kumaran: are, like, the number one thing. We can’t survive without.
144 00:14:41.650 ⇒ 00:14:43.110 Shreya Chowdhury: Yeah, I agree.
145 00:14:43.110 ⇒ 00:14:44.229 Uttam Kumaran: Drop, yeah, that’s fine.
146 00:14:44.230 ⇒ 00:14:51.600 Shreya Chowdhury: Yes, yeah, playbook is, like, my lowest priority for right now. That’ll be more of, like, I’ll probably be able to get to it realistically, like.
147 00:14:51.730 ⇒ 00:15:09.180 Shreya Chowdhury: Friday, if anything, Thursday, Friday. Sure, that’s fine. But if I’m able to, like, wrap up the client stuff a little bit earlier, then, like, I’ll get to it. Okay. Yeah, I’m definitely… I think the second playbook, I set my deadline for, like, next Friday, just to be, realistic.
148 00:15:09.560 ⇒ 00:15:22.380 Shreya Chowdhury: But I think by the end of this Friday, I should definitely have some, because I did start working on it earlier this week, and then I deprioritized it for client stuff, but even if it’s not finished, there will probably be something to show for the cohort analysis.
149 00:15:22.580 ⇒ 00:15:33.080 Uttam Kumaran: Okay, okay, great. And then on the amplitude access, so I just added you to the default client vault. In there, there is a, there is a…
150 00:15:33.370 ⇒ 00:15:40.640 Uttam Kumaran: an account for… for logging into Amplitude. We just have a shared Brainforge one. I will actually… I’m also gonna link that
151 00:15:40.840 ⇒ 00:15:45.450 Uttam Kumaran: And a comment area notions who have that as well.
152 00:15:45.450 ⇒ 00:15:46.520 Shreya Chowdhury: Okay, great, yeah.
153 00:15:46.520 ⇒ 00:15:46.909 Uttam Kumaran: Reach out to me.
154 00:15:46.910 ⇒ 00:15:51.179 Shreya Chowdhury: Rico about it, and, Henry, but yeah, thanks.
155 00:15:51.840 ⇒ 00:15:52.430 Uttam Kumaran: Okay.
156 00:15:53.440 ⇒ 00:16:00.350 Uttam Kumaran: Okay, cool. Yeah, a lot on your plate, so let me know how I can help, or if you have questions on Pryo…
157 00:16:00.730 ⇒ 00:16:02.490 Uttam Kumaran: Just don’t hesitate.
158 00:16:02.610 ⇒ 00:16:03.600 Shreya Chowdhury: Will do.
159 00:16:03.820 ⇒ 00:16:05.100 Uttam Kumaran: Okay, perfect.
160 00:16:05.360 ⇒ 00:16:06.210 Shreya Chowdhury: Thank you.
161 00:16:07.030 ⇒ 00:16:09.340 Uttam Kumaran: Cool. And yeah, Sam, you wanna go?
162 00:16:10.270 ⇒ 00:16:15.959 Samuel Roberts: Yeah, so, the two things that I wanted to talk about with the platform monorepo is basically there.
163 00:16:17.460 ⇒ 00:16:25.110 Samuel Roberts: probably needs a little bit of testing and stuff, but the only thing that isn’t live yet are the demos. And I think I remember you saying that the demos are hosted
164 00:16:25.990 ⇒ 00:16:27.460 Samuel Roberts: Somewhere else as well?
165 00:16:28.240 ⇒ 00:16:35.340 Uttam Kumaran: Yeah, I’m honestly… if that’s the only thing that’s not there, I’m actually comfortable, like, just getting this done.
166 00:16:36.110 ⇒ 00:16:36.730 Samuel Roberts: That’s what I was hoping for.
167 00:16:36.730 ⇒ 00:16:43.350 Uttam Kumaran: I have not had a chance to, like, dig deep, but if that’s the only thing that’s missing.
168 00:16:43.510 ⇒ 00:16:50.139 Uttam Kumaran: And I’m telling you that it’s not, like, we have, like, a thousand users, like, depending on this stuff, so even if there’s, like, small kinks.
169 00:16:50.140 ⇒ 00:16:52.539 Samuel Roberts: I’d rather just make the switch.
170 00:16:52.820 ⇒ 00:16:54.830 Uttam Kumaran: Okay. Yeah, demos are not required.
171 00:16:54.830 ⇒ 00:17:02.649 Samuel Roberts: maybe just get a little more QA, and then just start pointing people to the other one, maybe, before actually making a full, like…
172 00:17:02.870 ⇒ 00:17:03.880 Samuel Roberts: move the…
173 00:17:04.420 ⇒ 00:17:08.030 Uttam Kumaran: Yeah, I mean, what you could do is you could just do a redirect and switch.
174 00:17:09.210 ⇒ 00:17:11.260 Uttam Kumaran: And keep that at something else.
175 00:17:11.790 ⇒ 00:17:18.700 Samuel Roberts: Yeah, okay. Yeah, I just wanted to make sure that that was okay, because the demos are kind of different than everything else, and they’re just…
176 00:17:18.900 ⇒ 00:17:31.109 Samuel Roberts: migrating them over was a little bit of a pain, and I didn’t know that was worth spending the time, so that was what I wanted to check. And then the other thing, you’d mentioned some of the client hubs. There were two of them, I think, that aren’t in that you were mentioning.
177 00:17:32.360 ⇒ 00:17:38.950 Uttam Kumaran: Yeah, I guess my question is also on this, is, like, how can… sales… And…
178 00:17:39.110 ⇒ 00:17:43.549 Uttam Kumaran: like, AI team work together, or sale… like, ops, so kind of our process is, like.
179 00:17:43.690 ⇒ 00:17:48.620 Uttam Kumaran: Rico, as soon as we close a deal, Rico goes and, like, build… does, like.
180 00:17:48.720 ⇒ 00:17:50.839 Uttam Kumaran: 1Password and all that stuff, like…
181 00:17:50.970 ⇒ 00:17:56.619 Uttam Kumaran: You could easily… if you give him, like, a form to fill out, he can go fill that out, or if you show him how to, like.
182 00:17:56.790 ⇒ 00:18:01.990 Uttam Kumaran: created. Previously, we worked on some UI features where you can create a new client, But…
183 00:18:01.990 ⇒ 00:18:04.520 Samuel Roberts: There’s… yeah, I saw some of that as I was migrating things over.
184 00:18:04.520 ⇒ 00:18:08.409 Uttam Kumaran: Yeah, this is just gonna be something that I want to make sure, like, ops can start to…
185 00:18:09.380 ⇒ 00:18:12.389 Uttam Kumaran: To just, like, do, or at least give you the…
186 00:18:13.120 ⇒ 00:18:15.839 Samuel Roberts: Requirements, so that you guys can create it.
187 00:18:16.400 ⇒ 00:18:19.049 Samuel Roberts: I think the issue is that there’s lots of, like.
188 00:18:19.640 ⇒ 00:18:25.549 Samuel Roberts: I don’t want to say bespoke things, but, like, each client needs its own certain stuff, and then that’s not really…
189 00:18:25.750 ⇒ 00:18:28.040 Samuel Roberts: easy to automate right now, so I think…
190 00:18:28.530 ⇒ 00:18:38.960 Samuel Roberts: I want to kind of do a deep dive into how the client hubs are operating, but I haven’t touched those a ton, and figure out if there’s a way to more…
191 00:18:39.250 ⇒ 00:18:44.149 Samuel Roberts: effectively do that, because, like, there’s duplicating things in N8N that is very…
192 00:18:44.940 ⇒ 00:18:49.400 Uttam Kumaran: Yeah, so, but that’s… I guess, like, that’s what… that’s kind of, like, what I want to talk about is, like.
193 00:18:50.590 ⇒ 00:18:52.430 Uttam Kumaran: Like, how do we… That’s what I want to try to eliminate.
194 00:18:52.430 ⇒ 00:18:53.030 Samuel Roberts: Yeah.
195 00:18:53.030 ⇒ 00:18:53.590 Uttam Kumaran: Yeah, yeah.
196 00:18:53.590 ⇒ 00:18:58.879 Samuel Roberts: Yeah, exactly. Yeah, I think, I think the issue… I mean, I guess my question is, like, should I get…
197 00:18:59.040 ⇒ 00:19:03.250 Samuel Roberts: one of the guys to do those two clients as I start digging into.
198 00:19:03.630 ⇒ 00:19:15.280 Uttam Kumaran: Yes, because if that’s gonna… That’s what… Yeah. Yeah, okay. Yeah, if it’s gonna be more than a few days, which, yes, then, yeah. Yeah, I would just have them rip through whatever manual needs to get done.
199 00:19:15.500 ⇒ 00:19:17.090 Uttam Kumaran: For active clients?
200 00:19:17.270 ⇒ 00:19:21.630 Uttam Kumaran: And then… Okay. Yeah, we just continue to…
201 00:19:21.630 ⇒ 00:19:23.289 Samuel Roberts: Ellie, one of the two, I think?
202 00:19:23.880 ⇒ 00:19:27.100 Uttam Kumaran: Yeah, I think Interlude Alley… Yeah.
203 00:19:28.950 ⇒ 00:19:33.710 Samuel Roberts: Yeah, okay. All right, I’ll make sure to prioritize that for them.
204 00:19:33.870 ⇒ 00:19:37.410 Samuel Roberts: And then, yeah, I talked to them this morning a little bit about
205 00:19:38.450 ⇒ 00:19:42.100 Samuel Roberts: Me getting in there and really seeing how the client hubs are working through
206 00:19:42.370 ⇒ 00:19:45.039 Samuel Roberts: a whole bunch, because there’s a bunch of different pieces, and I want to try to…
207 00:19:45.530 ⇒ 00:19:50.040 Samuel Roberts: Figure out where the most manual things are, and at least try to automate those a little bit.
208 00:19:50.150 ⇒ 00:20:02.739 Samuel Roberts: But it’s going to take a minute to do that, so I want to make sure that we prioritize getting clients in the best. Okay. Okay. Yeah, besides that, I… unrelated to those two things, the ABC stuff…
209 00:20:02.970 ⇒ 00:20:07.480 Samuel Roberts: I… a lot of the… all the chats are logged in Snowflake.
210 00:20:07.650 ⇒ 00:20:12.650 Samuel Roberts: So Casey’s got me in there, so I’m… I should be able to tie those things together. I’m working on that now.
211 00:20:13.280 ⇒ 00:20:14.279 Uttam Kumaran: Okay, okay, perfect.
212 00:20:14.280 ⇒ 00:20:17.090 Samuel Roberts: It’s more specific. I just wanted to… I just wanted to update you, but that’s more specific.
213 00:20:17.090 ⇒ 00:20:18.360 Uttam Kumaran: Okay, okay, great.
214 00:20:18.360 ⇒ 00:20:19.030 Samuel Roberts: Anything else?
215 00:20:19.740 ⇒ 00:20:20.320 Samuel Roberts: Cool.
216 00:20:20.320 ⇒ 00:20:20.810 Uttam Kumaran: Okay.
217 00:20:20.810 ⇒ 00:20:21.460 Samuel Roberts: That’s really all I got.
218 00:20:22.460 ⇒ 00:20:26.699 Uttam Kumaran: Yeah, maybe I’ll talk a little bit on my side. I didn’t…
219 00:20:27.320 ⇒ 00:20:33.309 Uttam Kumaran: maybe I’ll just give a kind of brief overview. So, I’m still doing sort of a good amount of the development for Urban Stems.
220 00:20:33.660 ⇒ 00:20:41.490 Uttam Kumaran: like, I’m able to actually crush through what we previously had Kayo doing in, honestly, like, probably, like, 10 hours a week.
221 00:20:41.650 ⇒ 00:21:00.449 Uttam Kumaran: So it’s been… and I’ve been using Cursor for almost everything, so it’s been really, really effective. So I’ve been implementing cursor rules, and it’s been really good, so I feel good about, like, productivity-wise. I think Oasis, you’re gonna start to look at linear tickets and things like that, so we’ll probably get an update towards the end of the month on those details.
222 00:21:00.820 ⇒ 00:21:07.279 Uttam Kumaran: I guess I’m curious, like, Shreya, like, how your current, like, workflows are. I feel like…
223 00:21:07.840 ⇒ 00:21:11.419 Uttam Kumaran: For the PA team, it’s a lot of, like, stuff.
224 00:21:11.740 ⇒ 00:21:16.620 Uttam Kumaran: like, clicking on UI. I’m wondering, like, how… if you’re using
225 00:21:16.770 ⇒ 00:21:19.199 Uttam Kumaran: GPT or anything for your work.
226 00:21:19.980 ⇒ 00:21:21.000 Shreya Chowdhury: Yeah, so…
227 00:21:21.000 ⇒ 00:21:22.920 Uttam Kumaran: And, like, what we can support there.
228 00:21:23.210 ⇒ 00:21:23.770 Shreya Chowdhury: Yes.
229 00:21:23.770 ⇒ 00:21:25.089 Uttam Kumaran: Brainstorm ideas.
230 00:21:25.250 ⇒ 00:21:39.639 Shreya Chowdhury: Yeah, so I’ve been using GPT, like, for some of the playbooks to help me do, like, an outline or organize, like, how I want those playbooks. That one, I would say, like, I can… I can share some of the prompts that I’ve been using. Sure.
231 00:21:39.760 ⇒ 00:21:40.640 Shreya Chowdhury: It’s…
232 00:21:40.790 ⇒ 00:21:49.910 Shreya Chowdhury: there’s a lot of back and forth there, which I… I think it’s okay, like, that’s mostly fine. As far as, like,
233 00:21:50.790 ⇒ 00:21:58.969 Shreya Chowdhury: the, like, dashboarding stuff, I… I don’t use it too much for that,
234 00:21:59.500 ⇒ 00:22:18.659 Shreya Chowdhury: I feel like it’s, like, in the past, I found cursor most useful and helpful for, like, data engineering work, but, like, I’m not really on that side right now, so I mostly will just use the GPT chat for, like, oh, help me outline, like, what this playbook might look like, or, like, how can I break this up into sections, or, like.
235 00:22:19.530 ⇒ 00:22:31.129 Shreya Chowdhury: if I give it the inputs, like, I want it broken up into these sections, can you help me with the summaries? So I think the most that I’ve used it for right now is, like, playbooks, probably.
236 00:22:31.130 ⇒ 00:22:31.720 Uttam Kumaran: Okay.
237 00:22:33.000 ⇒ 00:22:33.710 Shreya Chowdhury: Yeah.
238 00:22:34.670 ⇒ 00:22:40.840 Uttam Kumaran: Yeah, I’m wondering if, like, as you’re going through and doing work, maybe, you know, we could consider
239 00:22:41.210 ⇒ 00:22:45.139 Uttam Kumaran: Like, having specific prompts per playbook?
240 00:22:45.440 ⇒ 00:22:51.869 Uttam Kumaran: You know, like… You are… you base, like, basically having an assistant that can help with the cohort analysis.
241 00:22:52.020 ⇒ 00:23:00.899 Uttam Kumaran: on the ideation, on, like, testing hypotheses, or, like, just basically being a back and forth, so that’s one opportunity. Second is, like.
242 00:23:01.060 ⇒ 00:23:09.559 Uttam Kumaran: even if you’re… even if you’re like, look, there’s probably a way for us to AI this, but I don’t know exactly, that’s actually helpful to probably talk to…
243 00:23:09.720 ⇒ 00:23:17.010 Uttam Kumaran: Sam about, like, okay, what are we doing that maybe is, like, chat is not a good interface for that, but, like.
244 00:23:17.410 ⇒ 00:23:22.869 Uttam Kumaran: I think we can break it down further, because honestly, what we’re going for is, like, I think…
245 00:23:22.980 ⇒ 00:23:28.439 Uttam Kumaran: For you, and for folks that are more senior, this… some of the things that we do in data are, like.
246 00:23:28.600 ⇒ 00:23:39.969 Uttam Kumaran: very, just like, we could kind of do it with our eyes closed, but mainly I’m thinking about how do we support more junior folks, and how do we support people that may take on the playbook for the first time?
247 00:23:40.080 ⇒ 00:23:44.149 Uttam Kumaran: Through, like, a mix of prompts, or, like.
248 00:23:44.260 ⇒ 00:23:49.779 Uttam Kumaran: more bespoke, like, UIs. Like, for example, a good example of this is, like.
249 00:23:49.950 ⇒ 00:23:57.779 Uttam Kumaran: creating linear tickets is something that the PM team does, but using chat to do that is a little bit…
250 00:23:57.830 ⇒ 00:24:10.140 Uttam Kumaran: funky. It’s like, you put in your transcript, you then, yeah, maybe you have to copy-paste the tickets in somewhere. Instead, what we did is we built this, like, super simple UI that talks directly to Linear, and you could just, like, one-click create tickets from front.
251 00:24:10.140 ⇒ 00:24:10.800 Shreya Chowdhury: Okay.
252 00:24:10.800 ⇒ 00:24:15.080 Uttam Kumaran: So this is a good way of saying that, like, we can build something that’s a little bit…
253 00:24:15.690 ⇒ 00:24:25.779 Uttam Kumaran: more, in-depth than just, like, a chat interface, but it will require you to start to, like, decompose some of the types of work that you’re doing, and think about, okay.
254 00:24:26.550 ⇒ 00:24:29.909 Uttam Kumaran: at what stage is helpful? Again, like, many of the stages are, like.
255 00:24:30.070 ⇒ 00:24:36.290 Uttam Kumaran: for the ID… for, like, ideation, then for, like, Execution, and then also…
256 00:24:36.540 ⇒ 00:24:42.510 Uttam Kumaran: But again, I could see it helpful for deck design, for, like, putting together data storytelling.
257 00:24:42.650 ⇒ 00:24:48.079 Uttam Kumaran: So even if you… as you have those ideas, like, you could just write it somewhere, and then we can start to…
258 00:24:48.330 ⇒ 00:24:54.550 Uttam Kumaran: Put resource towards, like, building you either a mix of prompts or a little bespoke tools to support.
259 00:24:55.300 ⇒ 00:25:03.859 Shreya Chowdhury: Yeah, and the thought has crossed my mind more for the playbooks and the templates there, to, like, have something, like, have an agent specified to each of the topics.
260 00:25:03.860 ⇒ 00:25:04.350 Uttam Kumaran: like, one…
261 00:25:04.350 ⇒ 00:25:19.069 Shreya Chowdhury: for A-B testing, or one for, like, funnel analysis. It’s just something that will require, like, a little bit more time and thought, and my priority now, like, after client work, is kind of just, like, first, let’s make it happen, then we.
262 00:25:19.070 ⇒ 00:25:20.120 Uttam Kumaran: Totally, totally.
263 00:25:20.120 ⇒ 00:25:30.519 Shreya Chowdhury: Yeah, yeah. So I think, like, my plan is kind of, once I get these playbooks done, at least we’ll have some working model that even if someone, like, even if we don’t have, like, an AI tool, like, they.
264 00:25:30.520 ⇒ 00:25:30.890 Uttam Kumaran: Yeah.
265 00:25:30.890 ⇒ 00:25:42.960 Shreya Chowdhury: with the chat and still get through it, and then once I have, like, the tickets completed, I can iterate on them and think about, like, oh, how can we find a way to, like, automate this as much as is reasonable?
266 00:25:42.960 ⇒ 00:25:49.049 Uttam Kumaran: It’s almost like task-specific agents. Like, as you start to decompose the plays.
267 00:25:49.200 ⇒ 00:25:59.630 Uttam Kumaran: Playbooks are gonna be a mix of linear tickets, basically, and then we can start pairing, like, if you were to take this ticket, you should work with this agent on it, or you should use this tool.
268 00:25:59.630 ⇒ 00:26:00.380 Shreya Chowdhury: Yeah.
269 00:26:01.000 ⇒ 00:26:20.180 Shreya Chowdhury: like, when, like, I don’t know, when you do, like, a lot of prompt engineering, a lot of times you can just, like, cater each chat to do a specific thing, so I’ll have things where it’s, like, I’ll tell it, like, hey, you’re supposed to be, like, an expert on this, or you’re going to be this, and then, like, for the rest of that chat, it’ll just be that agent.
270 00:26:20.180 ⇒ 00:26:20.619 Uttam Kumaran: Oh, and then…
271 00:26:20.620 ⇒ 00:26:26.479 Shreya Chowdhury: Like, my idea is just for each playbook, if I can create an agent like that and just attach it to it.
272 00:26:26.860 ⇒ 00:26:29.410 Shreya Chowdhury: Then, it should make a lot of the work easier.
273 00:26:29.530 ⇒ 00:26:39.499 Uttam Kumaran: Yeah, so my suggestion there, and you’re kind of spot on with, like, what we’re… what I’m doing, and I think what the AI team is doing, is we basically have, like, prompts
274 00:26:39.740 ⇒ 00:26:47.299 Uttam Kumaran: Like a prompt creation… Script. Like, a prompt creation prompt, basically. I’ll, I’ll link it,
275 00:26:47.560 ⇒ 00:26:53.350 Uttam Kumaran: I’ll link it here in the, under Notion…
276 00:26:53.590 ⇒ 00:27:10.760 Uttam Kumaran: But if you go into our prompt library, I just put a comment there under AI, these are, like, kind of, like, all the prompts that, like, people are using across the company. One of these is actually, at the bottom, is a prompt creator. So you can actually use this.
277 00:27:10.980 ⇒ 00:27:23.139 Uttam Kumaran: tell it, like, everything you want it to do, which ideally is just, like, you’re gonna be an expert on this playbook, it’ll write the prompt for you, and then you can use that prompt. So that’s, like, how we would basically do this.
278 00:27:23.140 ⇒ 00:27:23.940 Shreya Chowdhury: Okay.
279 00:27:24.420 ⇒ 00:27:31.209 Uttam Kumaran: So I use a mix of these all the time, and, like, my ChatGPT, you have projects, so I have, like.
280 00:27:32.760 ⇒ 00:27:41.340 Uttam Kumaran: marketing, sales, strategy, like, all these different, like, props that I use. For the most part these days, I don’t use, like, the raw…
281 00:27:41.700 ⇒ 00:27:57.830 Uttam Kumaran: chat GPT anymore. I’m always going through a project. But I also have, like, 20 in here, so it’s like, if I’m… I have a question, for example, like, when I was working on, like, leveling, I have, like, a CTO prompt. If I’m working on, like, contracts, I have, like, a contract prompt, and so…
282 00:27:58.160 ⇒ 00:28:15.759 Uttam Kumaran: Now, so, basically, what they’re finding in the research is that just with a little bit of steering, your accuracy and the effectiveness of chat is, like, a lot better, but you have to go through this, like, these, like, role, goal, context example, like.
283 00:28:16.080 ⇒ 00:28:17.790 Uttam Kumaran: type prompts.
284 00:28:17.930 ⇒ 00:28:24.220 Uttam Kumaran: Versus if you just go straight to ChatGBT and ask at something, the odds of it getting really good are…
285 00:28:24.850 ⇒ 00:28:32.220 Uttam Kumaran: considerably lower. So for now, on my side, I’m using, like, one of these prompts for most of the things I ask.
286 00:28:32.610 ⇒ 00:28:34.280 Uttam Kumaran: A lot of my stuff fits into this.
287 00:28:34.400 ⇒ 00:28:43.790 Uttam Kumaran: But basically, we’ll… we can start easily by just generating, like, what is the library prompts related to product analytics? And then those evolve into, like, maybe…
288 00:28:44.120 ⇒ 00:28:46.149 Uttam Kumaran: past specific UIs or whatever.
289 00:28:47.000 ⇒ 00:28:47.690 Shreya Chowdhury: Yeah.
290 00:28:48.120 ⇒ 00:28:49.480 Uttam Kumaran: Cool.
291 00:28:49.640 ⇒ 00:28:51.170 Uttam Kumaran: What’s changing.
292 00:28:51.170 ⇒ 00:29:00.880 Shreya Chowdhury: I think in… this is something that I’m probably gonna try and think a little bit more about maybe next week when I have time, but it might also be good to have, like, a repo for just product analytics stuff.
293 00:29:00.880 ⇒ 00:29:02.570 Uttam Kumaran: Yeah.
294 00:29:02.870 ⇒ 00:29:07.999 Shreya Chowdhury: And, like, a lot of the code will be there, and, like, that can be recycled. Honestly, I think that might even be, like.
295 00:29:10.240 ⇒ 00:29:14.129 Shreya Chowdhury: Like, more important to have than, like, an agent for each of the playbooks.
296 00:29:14.130 ⇒ 00:29:14.490 Uttam Kumaran: summer.
297 00:29:14.490 ⇒ 00:29:22.620 Shreya Chowdhury: Just yet, because then it’s like, okay, if we don’t have one, we do always have, like, a bunch of other AI tools and the code existing.
298 00:29:22.620 ⇒ 00:29:25.449 Uttam Kumaran: And then what is the code on, like, in this example?
299 00:29:25.950 ⇒ 00:29:29.220 Shreya Chowdhury: So, the code would be, like, so, like…
300 00:29:29.650 ⇒ 00:29:32.049 Uttam Kumaran: Core analysis, given a user’s table with these.
301 00:29:32.050 ⇒ 00:29:49.869 Shreya Chowdhury: Yeah, yeah, so I’ll throw in, like, so if it’s, like, in GitHub or something, then it’ll be, like, oh, like, in that repo, cohort analysis, and then it’ll be, like, the CSV file with the data, then the code with, like, the analyses, and then maybe, like, one file that just shows, like, the output nicely, or something like that.
302 00:29:49.870 ⇒ 00:29:52.299 Uttam Kumaran: Oh, great, okay.
303 00:29:52.570 ⇒ 00:30:02.250 Shreya Chowdhury: And then if, like, I don’t know if this feels, like, very ambitious, but, like, if eventually we can create, like, macros to just, like, do all of that, like, that would be really good.
304 00:30:02.250 ⇒ 00:30:06.470 Uttam Kumaran: So we actually… we’re… this is great, because you’re, like.
305 00:30:06.480 ⇒ 00:30:24.490 Uttam Kumaran: this is exactly the dream that we’ve had for a long time, so Always and I are working on, like, a public version of this right now, because some clients are interested in, like, how we structure dbt, and I can’t show them that without, like, showing clients stuff, so we’re building kind of, like, a fake repo. This is kind of similar, but we also have internal scripts.
306 00:30:24.510 ⇒ 00:30:33.340 Uttam Kumaran: So, there’s, I’ll send this into the leads… Slack?
307 00:30:34.530 ⇒ 00:30:37.020 Uttam Kumaran: But do you know which HP?
308 00:30:37.520 ⇒ 00:30:46.030 Uttam Kumaran: But in this table… in this repo, there are… there’s some helpful data engineering scripts, there are, like, GitHub actions that are run, and this is sort of our, like.
309 00:30:46.230 ⇒ 00:30:48.270 Uttam Kumaran: data platform repo.
310 00:30:48.660 ⇒ 00:30:49.100 Shreya Chowdhury: For example.
311 00:30:49.100 ⇒ 00:30:54.469 Uttam Kumaran: I have, like, Snowflake scripts in here, and we can start to build this up for… for everything.
312 00:30:54.790 ⇒ 00:30:55.150 Shreya Chowdhury: also have…
313 00:30:55.150 ⇒ 00:30:55.789 Uttam Kumaran: I have a template.
314 00:30:55.790 ⇒ 00:30:56.230 Shreya Chowdhury: CBT.
315 00:30:56.230 ⇒ 00:31:02.119 Uttam Kumaran: repo. So, like, every, yeah, every client we start with dbt on, there’s a template repo.
316 00:31:02.410 ⇒ 00:31:06.860 Uttam Kumaran: Because, like, setting up dbt every time is a little bit annoying. So we can also add it there.
317 00:31:07.340 ⇒ 00:31:12.330 Uttam Kumaran: But this is probably the easiest place to just shove stuff, so it can be reusable.
318 00:31:12.690 ⇒ 00:31:13.490 Shreya Chowdhury: Yeah.
319 00:31:14.040 ⇒ 00:31:29.049 Shreya Chowdhury: Cool. Well, that’s something, yeah, that’s something that I think would be really nice to have. Once I get a couple of these tickets fleshed out, it’ll be, like, easier to format it and, like, put it together, so maybe that’s something we can talk about in the upcoming weeks.
320 00:31:29.050 ⇒ 00:31:33.649 Uttam Kumaran: Okay, perfect. Yeah, totally. Okay, great.
321 00:31:34.900 ⇒ 00:31:37.830 Uttam Kumaran: Let me…
322 00:31:40.900 ⇒ 00:31:47.330 Uttam Kumaran: Okay, cool, so that’s fine. I think probably my only other ask
323 00:31:47.440 ⇒ 00:31:57.180 Uttam Kumaran: that we didn’t kind of go through today is… is just, like, OKRs broadly. I think, Sam, probably one ask for me for next meeting is…
324 00:31:57.320 ⇒ 00:32:05.569 Uttam Kumaran: if you can start taking a look at some of the OKRs on the AI team’s plate, and then we don’t need to necessarily have
325 00:32:05.920 ⇒ 00:32:07.870 Uttam Kumaran: immediate, like.
326 00:32:08.770 ⇒ 00:32:21.910 Uttam Kumaran: solutions for all of them, but I want to make sure that we are making progress towards them. For example, like, getting this monorepo done is a step towards, improving adoption and everything.
327 00:32:21.910 ⇒ 00:32:29.610 Uttam Kumaran: But I want to make sure that we start to look at our internal AI work and how it’s aligned with those OKRs. It’ll also let us
328 00:32:29.620 ⇒ 00:32:39.430 Uttam Kumaran: let you say no if I bring up something that… that I’m like, can we go do this? And you’re like, well, it doesn’t match up with the APR. That’ll also help for that… for that reason. Totally. But I think…
329 00:32:39.570 ⇒ 00:32:56.570 Uttam Kumaran: I just want to make sure that we have those in our mind. And then I think, also for next week, we can start thinking about what we want them to be for Q4. So I know we just sort of locked in the ones now, some of those will just roll over, but that’s kind of what I would like to talk about next week.
330 00:32:56.820 ⇒ 00:33:06.479 Uttam Kumaran: So next week, maybe a ways what we can do as part of this meeting template, I think it would be great to have, like, one section.
331 00:33:08.390 ⇒ 00:33:27.169 Uttam Kumaran: maybe right… right, right after the pre-meeting inputs, where we just review OKRs and just update statuses. It’ll just keep everybody, all of us, sort of, like, thinking about that. On the recruiting… yeah, on the recruiting… recruiting side, we’re talking to…
332 00:33:27.490 ⇒ 00:33:31.910 Uttam Kumaran: One additional, product analyst.
333 00:33:33.200 ⇒ 00:33:47.130 Uttam Kumaran: She was a long time at Bumble. I met her here in Austin. Not sure whether we have, like, immediate bandwidth right now. I would really, of course, love Shreya for you to just keep ramping up, but…
334 00:33:47.170 ⇒ 00:33:58.039 Uttam Kumaran: We had a… had a really good conversation with her, so I think Robert was talking with her, or chatting with her, but otherwise, on the engineering side, we’re not… we’re sort of, like, paused on a lot of recruiting.
335 00:33:58.140 ⇒ 00:34:13.479 Uttam Kumaran: I think we’re just gonna continue to scale up Henry and Zoran, and have them take on more, and then, really, I’m just interested in seeing whether, we’re gonna need an additional Tableau person. I mean, the next…
336 00:34:13.610 ⇒ 00:34:28.699 Uttam Kumaran: most important engineering role is probably to bring in someone on the DE side. Right now, Awash and I are handling all the DE-related pipeline stuff. Very luckily, it’s all Python, and so, like, cursor rips through all that, but,
337 00:34:29.100 ⇒ 00:34:33.530 Uttam Kumaran: Yeah, we need someone who’s, like, on call on, like, D pipelines across the board.
338 00:34:33.739 ⇒ 00:34:38.460 Uttam Kumaran: And DE is not just, like, pipelines, like, this person should be able to set up
339 00:34:38.580 ⇒ 00:34:41.330 Uttam Kumaran: New warehouses, set up pipelines.
340 00:34:41.489 ⇒ 00:34:47.669 Uttam Kumaran: handle, sort of, alerting and monitoring, so… but… just, like, what’s coming up.
341 00:34:49.440 ⇒ 00:34:55.970 Uttam Kumaran: Apart from that, I think the biggest thing I would also like us to start thinking about is, like, incidents.
342 00:34:56.150 ⇒ 00:35:01.980 Uttam Kumaran: And tracking the number of, like, data or AI incidents per week.
343 00:35:02.300 ⇒ 00:35:08.230 Uttam Kumaran: This is easily done by just, like, we could just use, like, labels in linear and say.
344 00:35:08.390 ⇒ 00:35:22.429 Uttam Kumaran: this is a bug, or, like, this is an incident. Data is… is gonna be more common, but, like, I know for AI, for example, we had that ABC team outage. One thing I want to start to just track as a whole is just, like, our…
345 00:35:22.580 ⇒ 00:35:26.689 Uttam Kumaran: How we track incidents, how they get triaged, and, like, the number of them.
346 00:35:28.890 ⇒ 00:35:35.790 Uttam Kumaran: I think it’s just a good, healthy thing for us to do, and then naturally, for every incident, we will apply a playbook.
347 00:35:36.060 ⇒ 00:35:46.759 Uttam Kumaran: And so, in on-call and in incident resolution, playbooks are the name of the game, where it’s like, oh, this is a… how do you… what are the playbooks to triage, and then who gets assigned what?
348 00:35:47.030 ⇒ 00:36:00.100 Uttam Kumaran: what is the SLA? However, it… incidents are always a huge, like, brain drain for everybody on the team. Like, something’s broken.
349 00:36:00.340 ⇒ 00:36:05.040 Uttam Kumaran: everybody’s need to get cold, or whatever, like, I really want to avoid that.
350 00:36:05.280 ⇒ 00:36:11.180 Uttam Kumaran: And I also want to give the PMs, who themselves are all pretty capable.
351 00:36:11.530 ⇒ 00:36:21.949 Uttam Kumaran: ways to triage. Like, if they can go triage a couple of different things, like checking connections, checking API keys, rerunning jobs, I want to have them do that.
352 00:36:23.570 ⇒ 00:36:32.470 Uttam Kumaran: Versus it coming to engineering. So just something, again, I want to start tracking overall, which I think is already in the OKR. It’s just, like, looking at incidents over time.
353 00:36:34.350 ⇒ 00:36:42.520 Uttam Kumaran: until we sort of start to measure that, we will kind of know about reduction, but I think it’s important for us to… that’s a good measure of, like, are we building systems that are
354 00:36:43.380 ⇒ 00:36:48.480 Uttam Kumaran: more resilient I mean, yeah, I think,
355 00:36:48.870 ⇒ 00:36:52.759 Uttam Kumaran: Probably my only question, I think, for everybody here is, like.
356 00:36:53.110 ⇒ 00:36:56.240 Uttam Kumaran: You know, how can we start doing…
357 00:36:56.560 ⇒ 00:37:01.650 Uttam Kumaran: Thinking about more, like, cross-engineering rituals, or, like…
358 00:37:01.930 ⇒ 00:37:08.790 Uttam Kumaran: ways of sharing work. I think certainly a lot of people on the AI side are interested in some of the data work. I think similarly.
359 00:37:09.000 ⇒ 00:37:14.770 Uttam Kumaran: So I don’t know if anyone, before we sort of adjourn today, has any, like.
360 00:37:15.130 ⇒ 00:37:18.570 Uttam Kumaran: Thoughts, especially in, like, a remote environment, about how we can, like.
361 00:37:19.060 ⇒ 00:37:21.670 Uttam Kumaran: just build up, like, our Eng team, like…
362 00:37:21.860 ⇒ 00:37:26.199 Uttam Kumaran: Make sure everyone is, like, tapped in on what everybody else is working on.
363 00:37:26.360 ⇒ 00:37:31.559 Uttam Kumaran: But I don’t know, just build more of a crew versus, like, everybody isolated onto clients.
364 00:37:32.710 ⇒ 00:37:37.700 Awaish Kumar: So, my… I would suggest, like, we should go on that, like, step by step.
365 00:37:38.420 ⇒ 00:37:41.400 Awaish Kumar: Like, at least we should have… have a…
366 00:37:41.870 ⇒ 00:37:44.959 Awaish Kumar: Ritual that people meet each other.
367 00:37:45.580 ⇒ 00:37:51.440 Awaish Kumar: Okay. Quite often, like, like the coffee chat, and then we, from there.
368 00:37:51.440 ⇒ 00:37:51.950 Uttam Kumaran: Yeah.
369 00:37:51.950 ⇒ 00:37:54.799 Awaish Kumar: Start, like, built on top of that, right?
370 00:37:55.120 ⇒ 00:38:01.979 Awaish Kumar: So, once everyone, everybody’s comfortable with each other, we can, like, Start assigning internal work.
371 00:38:02.230 ⇒ 00:38:04.389 Awaish Kumar: Cross-functionally, like.
372 00:38:04.450 ⇒ 00:38:06.929 Uttam Kumaran: Any small AI task can be done by.
373 00:38:07.070 ⇒ 00:38:07.680 Awaish Kumar: someone.
374 00:38:07.680 ⇒ 00:38:08.030 Uttam Kumaran: Yeah.
375 00:38:08.870 ⇒ 00:38:14.300 Awaish Kumar: and any small, like, data work, for example, dbt, internal…
376 00:38:14.470 ⇒ 00:38:17.160 Awaish Kumar: can be handled by maybe Casey or something like that.
377 00:38:17.270 ⇒ 00:38:23.270 Awaish Kumar: So, you know, kind of… When everybody is, like, okay with each other, like, then it’ll be very…
378 00:38:23.930 ⇒ 00:38:29.239 Awaish Kumar: easy, like, because they know, like, if I’m… I got stuck, I can ask him, or…
379 00:38:29.490 ⇒ 00:38:33.460 Awaish Kumar: Just informally can just slack him, something like that.
380 00:38:33.660 ⇒ 00:38:36.660 Awaish Kumar: So we need to establish that people are
381 00:38:36.970 ⇒ 00:38:40.440 Awaish Kumar: Comfortable talking to each other, and then we can start.
382 00:38:40.760 ⇒ 00:38:44.129 Awaish Kumar: Assigning, like, cross-functional I think it’s…
383 00:38:46.280 ⇒ 00:38:51.089 Uttam Kumaran: You’re totally right, I dropped the ball on the coffee thing. I hit… I sent it to Rico, but I didn’t end up,
384 00:38:51.500 ⇒ 00:38:54.420 Uttam Kumaran: following up, so I’ll look at… look at that.
385 00:38:57.470 ⇒ 00:39:03.329 Uttam Kumaran: Yeah, I don’t know, I just don’t want to build a team of, like, strangers on engineering. We had that for a while, and, like.
386 00:39:03.920 ⇒ 00:39:07.020 Uttam Kumaran: But it’s hard to do, because we’re all, like, heads down working, and…
387 00:39:08.010 ⇒ 00:39:11.680 Uttam Kumaran: Like, I don’t know, but something to think about.
388 00:39:13.680 ⇒ 00:39:16.420 Awaish Kumar: Yeah, just got an update on…
389 00:39:18.320 ⇒ 00:39:21.640 Awaish Kumar: or analysts, like, Henry wants…
390 00:39:24.010 ⇒ 00:39:26.649 Awaish Kumar: That he needs to have this week.
391 00:39:27.070 ⇒ 00:39:33.450 Awaish Kumar: And, like, asking to re-evaluate after… Like, Friday?
392 00:39:33.680 ⇒ 00:39:38.090 Awaish Kumar: So, maybe you can… Do, like, work during the week.
393 00:39:40.080 ⇒ 00:39:46.520 Uttam Kumaran: Okay, alright. Yeah, figure it out and let me know. I’m open to whatever decision, just,
394 00:39:47.540 ⇒ 00:39:49.479 Uttam Kumaran: Yeah, I’m open to whatever you guys decide.
395 00:39:50.130 ⇒ 00:39:51.479 Awaish Kumar: Okay, thank you.
396 00:39:52.450 ⇒ 00:39:54.519 Uttam Kumaran: Okay. Cool.
397 00:39:54.660 ⇒ 00:39:56.300 Uttam Kumaran: Alright, that’s kind of all I had.
398 00:39:58.890 ⇒ 00:40:11.649 Uttam Kumaran: If anyone has any questions about sales or otherwise, let me know. I’m gonna also start sending some broader updates in the company channel every day, just like…
399 00:40:13.280 ⇒ 00:40:14.869 Uttam Kumaran: Just like,
400 00:40:15.320 ⇒ 00:40:28.860 Uttam Kumaran: things about, like, sales, or talent, or things I’m thinking about, so I’m just gonna, start sending that and just sharing that broadly. If anyone has any suggestions on what you’d like to see from that, or, like, hear about
401 00:40:29.010 ⇒ 00:40:30.940 Uttam Kumaran: Cross-company initiatives, let me know.
402 00:40:31.270 ⇒ 00:40:33.440 Uttam Kumaran: Just trying to keep everybody in the loop on, like.
403 00:40:33.690 ⇒ 00:40:36.200 Uttam Kumaran: Parts of the company that maybe others don’t see, so…
404 00:40:40.190 ⇒ 00:40:40.900 Awaish Kumar: Okay.
405 00:40:41.230 ⇒ 00:40:44.239 Uttam Kumaran: Cool. Okay. Alright, that’s it. Thanks, guys.
406 00:40:44.470 ⇒ 00:40:44.980 Shreya Chowdhury: Bye.
407 00:40:45.710 ⇒ 00:40:46.310 Uttam Kumaran: a…