Meeting Title: Eng Leads retro Date: 2025-08-29 Meeting participants: Sam Roberts, Shreya Chowdhury, Awaish Kumar, Uttam Kumaran
WEBVTT
1 00:04:12.020 ⇒ 00:04:13.920 Sam Roberts: Okay, I didn’t realize someone was on.
2 00:04:15.260 ⇒ 00:04:17.329 Shreya Chowdhury: Hey, yeah, no worries.
3 00:04:17.600 ⇒ 00:04:21.120 Sam Roberts: Sorry, I’m actually in the car right now, so I’m on my phone on Zoom.
4 00:04:21.120 ⇒ 00:04:22.689 Shreya Chowdhury: No, no, you’re good.
5 00:04:22.910 ⇒ 00:04:25.250 Sam Roberts: Just didn’t realize it. How’s it going?
6 00:04:25.690 ⇒ 00:04:28.769 Shreya Chowdhury: It’s good. Friday, made it to the weekend.
7 00:04:28.770 ⇒ 00:04:30.260 Sam Roberts: Yeah, exactly.
8 00:04:31.560 ⇒ 00:04:33.050 Shreya Chowdhury: How’s your week been?
9 00:04:33.470 ⇒ 00:04:46.900 Sam Roberts: It’s been a little, … it’s been good. It’s been a good week, but a little chaotic. I’ve been away, so I had this pre-planned vacation before I joined, Brain Forge. So I was like, oh, I can… I can work, and then the internet went out at the place I was staying at, and….
10 00:04:46.900 ⇒ 00:04:48.010 Shreya Chowdhury: Oh, no.
11 00:04:48.010 ⇒ 00:04:52.709 Sam Roberts: Yeah, and I’m in, like, the Poconos in Pennsylvania, so it’s like…
12 00:04:52.820 ⇒ 00:05:00.859 Sam Roberts: not good cell reception, so I couldn’t even get on that. I was barely getting… it was bad for a minute. That was, like, Tuesday, so yeah.
13 00:05:01.700 ⇒ 00:05:04.220 Shreya Chowdhury: Nice. Well, how’s it going otherwise?
14 00:05:09.600 ⇒ 00:05:14.310 Uttam Kumaran: For me, I’m… I’m busy. It’s good.
15 00:05:14.310 ⇒ 00:05:15.920 Shreya Chowdhury: For anyone, yeah.
16 00:05:15.920 ⇒ 00:05:21.979 Uttam Kumaran: I’m good. I think this has been a great week. I love having more people on the team, and I…
17 00:05:22.350 ⇒ 00:05:26.810 Uttam Kumaran: I got, finally, some time to think about, like, our…
18 00:05:27.140 ⇒ 00:05:34.020 Uttam Kumaran: sort of, like, this monthly review thing, our leveling guy, like, I actually got a little bit of time to think through those, so…
19 00:05:34.610 ⇒ 00:05:37.540 Uttam Kumaran: Like, I feel like it was a positive week.
20 00:05:38.530 ⇒ 00:05:39.350 Shreya Chowdhury: Nice.
21 00:05:39.870 ⇒ 00:05:41.320 Uttam Kumaran: Yeah, how about you?
22 00:05:42.360 ⇒ 00:05:47.630 Shreya Chowdhury: … not too bad. I think it’s, yeah, just…
23 00:05:48.700 ⇒ 00:06:05.719 Shreya Chowdhury: Just getting used to, like, the flow of things. The first half of my week was onboarding, so that was, like, half of my work week, pretty much, and then the second half was, the data planning for Ellie. Yeah, so that’s pretty much been my week.
24 00:06:06.640 ⇒ 00:06:10.730 Uttam Kumaran: Cool. Yeah, I’m… I think every new person that comes on
25 00:06:11.030 ⇒ 00:06:21.649 Uttam Kumaran: it just gives me, like, a ton of energy to actually start thinking a little bit bigger of a bunch of stuff that we haven’t done. So, you’re just gonna get hit with a bunch of stuff in that channel, but, like.
26 00:06:21.680 ⇒ 00:06:31.369 Uttam Kumaran: As you’ll see, it’s like, what’s most important is that we talk and think through it, but the way… when we go, like, institute or try to do things, we’ll do as we have time.
27 00:06:31.760 ⇒ 00:06:40.960 Uttam Kumaran: But I’m excited, really, for this… for this crew. I think it’s the first time in a while beyond just me and Awash talking about, like, all of our engineering.
28 00:06:41.440 ⇒ 00:06:46.469 Uttam Kumaran: Sort of guidelines and things, so… yeah, this is a… this is great.
29 00:06:47.820 ⇒ 00:06:48.590 Shreya Chowdhury: Yeah.
30 00:06:50.560 ⇒ 00:06:56.579 Awaish Kumar: Okay, so, like, what are we gonna do here, like… Just, like, …
31 00:06:56.810 ⇒ 00:07:03.210 Awaish Kumar: Regular sync, like, we go with meeting inputs, or do you want to do it any… anything different for this meeting?
32 00:07:03.370 ⇒ 00:07:06.750 Uttam Kumaran: Yeah, I mean, I would love to hear… I think…
33 00:07:07.030 ⇒ 00:07:11.940 Uttam Kumaran: I mean, we can do… if we have time at the end, I would love to sort of get feedback on…
34 00:07:12.120 ⇒ 00:07:17.649 Uttam Kumaran: the… The leveling guide and the delivery review, but probably…
35 00:07:17.860 ⇒ 00:07:24.050 Uttam Kumaran: I’m kind of curious to hear from Sam and Shreya and Awash, like, on the clients that you’re on.
36 00:07:24.450 ⇒ 00:07:30.879 Uttam Kumaran: If there are any, like, wins, if there’s any points of concern, if there’s any confusion that
37 00:07:31.750 ⇒ 00:07:33.260 Uttam Kumaran: I can help clear up.
38 00:07:33.590 ⇒ 00:07:36.530 Uttam Kumaran: Maybe we can start there.
39 00:07:38.460 ⇒ 00:07:39.440 Awaish Kumar: Mom.
40 00:07:39.700 ⇒ 00:07:45.990 Awaish Kumar: So for me, yeah, there’s… yeah, so things are quite better now.
41 00:07:46.140 ⇒ 00:07:49.640 Awaish Kumar: As you know, like, Kenny’s going out on…
42 00:07:49.880 ⇒ 00:07:52.760 Awaish Kumar: We, we are making decisions on, like, …
43 00:07:53.890 ⇒ 00:08:01.459 Awaish Kumar: onboarding Henry or bringing a new data analyst, but apart from… apart from that, like, this sprint has been really good.
44 00:08:01.700 ⇒ 00:08:03.879 Awaish Kumar: We have delivered everything.
45 00:08:04.310 ⇒ 00:08:05.600 Awaish Kumar: On time.
46 00:08:08.290 ⇒ 00:08:08.940 Uttam Kumaran: Okay.
47 00:08:13.270 ⇒ 00:08:28.769 Shreya Chowdhury: Yeah, from my end, we had our check-in with Ellie, a little bit more of, like, Zoran’s area, but, hit a few blockers with, like, the Google Analytics stuff, …
48 00:08:29.100 ⇒ 00:08:47.010 Shreya Chowdhury: but they’re working through it. For me, I have been working on the data tracking planning. I have to go back and forth with the client a little bit. It’s not completed, because they… we did go through it. They said it looks mostly good, but there are some events there that,
49 00:08:47.010 ⇒ 00:08:59.309 Shreya Chowdhury: they can’t… they don’t have the ability to track or won’t be able to, so, I think they’re gonna look through the fields and then prune what they don’t need, and then I can put together, like, the final Figma, …
50 00:08:59.800 ⇒ 00:09:07.789 Shreya Chowdhury: And, yeah, so that seems to be going well. It was nice meeting the team and everybody.
51 00:09:07.980 ⇒ 00:09:15.430 Shreya Chowdhury: And yeah, today I’m gonna be working on some internal documentation, so the A-B testing playbook.
52 00:09:15.430 ⇒ 00:09:15.980 Uttam Kumaran: Cool.
53 00:09:15.980 ⇒ 00:09:16.570 Shreya Chowdhury: I’m kind of excited.
54 00:09:16.570 ⇒ 00:09:19.399 Uttam Kumaran: What do you think about, like, what do you think about that bull project?
55 00:09:20.020 ⇒ 00:09:23.820 Shreya Chowdhury: The… The Ellie Project?
56 00:09:23.820 ⇒ 00:09:29.330 Uttam Kumaran: Like, no, the inter… I guess both, but, like, the internal… the internal, like, playbooks project.
57 00:09:29.760 ⇒ 00:09:42.869 Shreya Chowdhury: I think it’s really good. I really like that we’re doing that, and my hope is that we’ll be able to use some of that to kind of, like, drive strategy, like, beyond, like.
58 00:09:43.120 ⇒ 00:09:56.649 Shreya Chowdhury: just, like, onboarding clients onto Amplitude and getting their data set up, or, like, getting a plan for them, and they get their data set up. I think that’s, like, to me, the most fun part of my job, to be able to run those experiments and then, like, …
59 00:09:56.650 ⇒ 00:10:11.849 Shreya Chowdhury: I don’t know, derive, like, strategy and data-driven decisions from that stuff. So I really like it. I’m gonna go through… I think Amber said Robert had started that documentation, so I’m gonna go through what he has, and then probably co-pilot with some AI tool to.
60 00:10:11.850 ⇒ 00:10:12.290 Uttam Kumaran: Huh.
61 00:10:12.290 ⇒ 00:10:19.680 Shreya Chowdhury: up, but… fingers crossed that we get to use it soon in some way, like, good application.
62 00:10:19.800 ⇒ 00:10:35.129 Shreya Chowdhury: Because I think it’ll be good to have, like, the boilerplate templates, and then, once we get to use that stuff, I think it would be really good to have, like, the specific case studies, or just, like, a… like, a repo of, like, every time we’ve used it, all the experimentations, and, like, how we, like.
63 00:10:35.130 ⇒ 00:10:35.650 Uttam Kumaran: Yes.
64 00:10:35.650 ⇒ 00:10:37.550 Shreya Chowdhury: with it. Yeah.
65 00:10:38.430 ⇒ 00:10:47.959 Uttam Kumaran: Yeah, I’m excited because I think you’re taking the first step, but you’re doing it in just the sort of product analytics function. We’re gonna quickly, kind of, based on the
66 00:10:48.020 ⇒ 00:11:00.770 Uttam Kumaran: how the process goes on your side. I think we’ll do the same thing on the AI side, same thing on the data engine and the AE side. So, it’s really great. I would say the biggest feedback is don’t get too stuck on, like, the format. Like.
67 00:11:00.980 ⇒ 00:11:06.379 Uttam Kumaran: use AI, have it give you the judgment, but, like, get something out.
68 00:11:06.590 ⇒ 00:11:09.470 Uttam Kumaran: And then we’ll… we’ll slim it down later.
69 00:11:10.700 ⇒ 00:11:29.300 Uttam Kumaran: But I’m pumped. I mean, to give you even, like, where this could head, not only can it be, like, okay, when we bring on a new project, can we map a client’s needs to one or many playbooks? We actually start generating reusable epics, reusable linear milestones. So, like, tickets we can have pre…
70 00:11:29.450 ⇒ 00:11:42.290 Uttam Kumaran: created tickets for, like, a given set of work, so that our project managers can start to say, great, like, I have an off-the-shelf epic that I can pull in. So, on the bigger consultancies, this is what they do.
71 00:11:42.420 ⇒ 00:11:48.399 Uttam Kumaran: they start to have these, like, reusable epics, where it’s like, okay, we’re doing this type of work, cool. I’m gonna pull this, like.
72 00:11:48.770 ⇒ 00:12:00.980 Uttam Kumaran: instrumentation epic down. Then, anybody who gets assigned to there, right, it doesn’t need to be, someone at Essreya’s level. Someone lower can come in and start to take those, use the playbook.
73 00:12:00.980 ⇒ 00:12:18.959 Uttam Kumaran: to read through all that, and then go to you for, like, higher level coordination, that’s sort of, like, what we hope. And we’ve done this now so many times. Again, the biggest thing, I think, that continues to be the case is just, like, it’s stuck in Robert’s head, or it’s stuck in my head, or it’s stuck in one of the… one of the four of us that have done this.
74 00:12:19.090 ⇒ 00:12:29.180 Uttam Kumaran: And then also, once you get to a point where you feel that’s good, if you’re… if we’re like, hey, we have, like, probably 5 more pages to write, you can have Henry writing, or Zoran can write one.
75 00:12:29.270 ⇒ 00:12:33.209 Awaish Kumar: Or Robert can write one. So it’s once we dictate the whole structure.
76 00:12:33.270 ⇒ 00:12:34.510 Uttam Kumaran: That’s helpful.
77 00:12:34.890 ⇒ 00:12:42.240 Shreya Chowdhury: Yeah. And then the other thing I was gonna say was I… I would have to pull up the doc, I don’t know that I, …
78 00:12:43.100 ⇒ 00:13:00.040 Shreya Chowdhury: have it open, but do we have… have we had a case before where we’ve used A-B testing, or, like, do we have, like, a specific sample, that we can use there, or, like, a case study? If not, we can, like, I guess, make up one, and just.
79 00:13:00.040 ⇒ 00:13:02.040 Uttam Kumaran: to make up one, Robert will have one.
80 00:13:02.300 ⇒ 00:13:02.630 Shreya Chowdhury: Okay.
81 00:13:02.630 ⇒ 00:13:09.979 Uttam Kumaran: Yeah, probably. I don’t know… I don’t think we’ve done A-B testing on Eden, but Robert will have…
82 00:13:10.080 ⇒ 00:13:12.179 Uttam Kumaran: Like, a experiment.
83 00:13:12.580 ⇒ 00:13:14.660 Uttam Kumaran: And then test case study, probably.
84 00:13:14.970 ⇒ 00:13:15.730 Shreya Chowdhury: Okay, cool.
85 00:13:15.730 ⇒ 00:13:24.009 Uttam Kumaran: For worst case, again, like, we have templates to generate, like, if we want to create, like, a sample use case or sample case study, we can do that as well.
86 00:13:24.370 ⇒ 00:13:34.629 Shreya Chowdhury: Yeah, well, I think it’s good also just for, like, historical purposes, for us to have, like, the exact ones that we have done, just for documentation, and that’s, like, more like if someone really wants to deep dive
87 00:13:34.630 ⇒ 00:13:49.540 Shreya Chowdhury: That’s, like, the go-through, or the go-to, just, like, if they want to look at the template, but more if they want to go through, like, examples or whatever. And it’s good for our own retro, too, because we can look at it and see, like, how we can iterate, make it better, what works for those cases.
88 00:13:49.540 ⇒ 00:14:01.130 Uttam Kumaran: Yeah, ideally, like, and then the case study, also, if it’s, like, an internal, you can look at the amount of tickets that were involved, the length, who was involved, the points, and then we can start to, like, give feedback. …
89 00:14:01.300 ⇒ 00:14:20.419 Uttam Kumaran: Definitely. And what I can also do is, now that I kind of… I’m thinking about this, I can talk to some friends that are at other, like, senior consultancies and see, like, how do they organize this stuff internally, if there’s any guides. I thought visually it could be nice, like, if you end up doing this at FigJam or something.
90 00:14:20.530 ⇒ 00:14:24.759 Uttam Kumaran: Where… You start with product analytics, and it, like, branches, but…
91 00:14:25.480 ⇒ 00:14:34.160 Uttam Kumaran: I don’t know. I could try. I’ve only ever used FigJam for, like, flowcharts and things like that. I don’t know how it would go for a playbook, because….
92 00:14:34.690 ⇒ 00:14:36.750 Shreya Chowdhury: it’s… I think it’s a, like…
93 00:14:37.050 ⇒ 00:14:39.150 Shreya Chowdhury: It’s cool that you can go through the branch.
94 00:14:39.150 ⇒ 00:14:39.690 Uttam Kumaran: Yeah.
95 00:14:39.690 ⇒ 00:14:43.280 Shreya Chowdhury: It’s kind of harder from, like, a… like, a table of contents perspective.
96 00:14:43.290 ⇒ 00:14:49.349 Uttam Kumaran: Yeah, yeah. I think it would mainly be if there’s a component of it that is, like, a flow?
97 00:14:49.530 ⇒ 00:14:54.929 Uttam Kumaran: Because otherwise, you’ll have to do, like, a mermaid diagram, where it would be hard to do anything visual.
98 00:14:54.930 ⇒ 00:14:55.290 Shreya Chowdhury: Yeah.
99 00:14:55.350 ⇒ 00:14:58.950 Uttam Kumaran: It’s like, okay, we have these, like, 4 different plays, and you want to show…
100 00:14:59.290 ⇒ 00:15:03.750 Uttam Kumaran: Do this, if this, if this. Like, that could be helpful visually.
101 00:15:04.080 ⇒ 00:15:04.900 Uttam Kumaran: But…
102 00:15:05.660 ⇒ 00:15:21.530 Uttam Kumaran: Yeah, I don’t know, I’m sort of like, I’m open either way. I think, yeah, we’ll have to have some linking between them. As long as it ends up in writing, that’s the number one. And I finally… because again, I was just talking in the other meeting, like, if anything ends up in writing, even if I don’t have time, or Robert doesn’t have time, both of us
103 00:15:21.530 ⇒ 00:15:26.980 Uttam Kumaran: we’ll review async, like, and put comments in Notion. That’s, like, the easiest thing for us.
104 00:15:26.980 ⇒ 00:15:36.769 Uttam Kumaran: I think I want to come to the review meeting next week, and then after that, as long as I get the gist of the whole goal, then everything else I can review async, basically.
105 00:15:37.480 ⇒ 00:15:38.080 Shreya Chowdhury: Yeah.
106 00:15:38.550 ⇒ 00:15:50.579 Shreya Chowdhury: Yeah, okay. Well, I’m planning on working on that today, but yeah, I can, follow up with you guys async, and then just send over, like, any questions I have, or, like, how far I get.
107 00:15:51.580 ⇒ 00:15:53.530 Uttam Kumaran: And then what do you think about Ellie, overall?
108 00:15:54.250 ⇒ 00:15:56.750 Shreya Chowdhury: I… I…
109 00:15:56.930 ⇒ 00:16:06.499 Shreya Chowdhury: I have honestly not done too much besides the data tracking planning, so it’s just been me, like, clicking through their website and, like, figuring out the proper flows and stuff.
110 00:16:06.500 ⇒ 00:16:17.009 Shreya Chowdhury: I think that part is fun, like, figuring out the business processes and, like, mapping things out. I know for Ellie, we’re not gonna be the ones to implement
111 00:16:17.010 ⇒ 00:16:22.700 Shreya Chowdhury: the data, is that correct? It’s like, we give them the plan, and then they’ll have their own engineers implement it?
112 00:16:22.880 ⇒ 00:16:27.330 Uttam Kumaran: I think they’re going to do the front-end events, but we’re gonna be reporting.
113 00:16:28.220 ⇒ 00:16:40.140 Shreya Chowdhury: Okay, okay, so, like, dashboarding afterwards, is that…? Yeah, yeah. Okay. And then basically presenting, like, strategy. Okay, so we’re… like, we just get to skip the middle steps, basically.
114 00:16:40.140 ⇒ 00:16:44.689 Uttam Kumaran: Yeah, and that’s for some clients, because they have front-end folks, they usually take that on.
115 00:16:44.690 ⇒ 00:16:55.270 Shreya Chowdhury: Yeah, that makes sense. Do you have an idea of, like, if when we do reporting, what we’re, like, are we gonna be doing it in amplitude, or is it just….
116 00:16:56.110 ⇒ 00:17:03.530 Uttam Kumaran: That is a good question for Robert. I’m not sure what the scope is. We have done reporting in amplitude.
117 00:17:03.730 ⇒ 00:17:08.370 Uttam Kumaran: We also have done stuff where we pull it into a warehouse and run stuff.
118 00:17:08.560 ⇒ 00:17:13.080 Uttam Kumaran: But I would say… Form an opinion, and then ask him, and then…
119 00:17:13.240 ⇒ 00:17:27.619 Uttam Kumaran: see what he says. I don’t know, unless they… unless he’s already told them something, I’m sure he’s open to any way we want to do it. Typically, if we don’t have… if everything is consolidated in amplitude, and the reporting is basic, we’ve usually done stuff in there.
120 00:17:28.200 ⇒ 00:17:28.950 Uttam Kumaran: But….
121 00:17:29.210 ⇒ 00:17:29.910 Shreya Chowdhury: Okay.
122 00:17:31.440 ⇒ 00:17:34.829 Shreya Chowdhury: Yeah. But yeah, that’s…
123 00:17:35.170 ⇒ 00:17:47.739 Shreya Chowdhury: That’s kind of where I’m at. I think it’s… it’s… it’s not bad. I like… I think data tracking, like, planning is always, like, a little bit, like, it’s just creating a bunch of charts.
124 00:17:47.740 ⇒ 00:17:48.140 Uttam Kumaran: And not.
125 00:17:48.140 ⇒ 00:17:56.279 Shreya Chowdhury: With pruning. But yeah, not too bad. I think I’m, like, right now, I’m, like, a little bit more excited for the internal playbooks.
126 00:17:56.970 ⇒ 00:17:58.950 Shreya Chowdhury: But, yeah, we’ll see how it goes.
127 00:17:59.160 ⇒ 00:18:07.719 Uttam Kumaran: We have a… we have, like, two other clients we’re doing product, sort of, analytics stuff for. I also think, like, that… that client is so early, like, I think we just…
128 00:18:07.800 ⇒ 00:18:10.509 Uttam Kumaran: Started working with them, like, 2 weeks ago.
129 00:18:10.550 ⇒ 00:18:28.050 Uttam Kumaran: So, it’ll start to kick up, and then… I mean, the main goal is, like, what our goal is on the engineering side is, like, setting Robert up to make the play for expanding. So, can we start to take on more of their data work across their business beyond just product analytics?
130 00:18:28.770 ⇒ 00:18:30.009 Awaish Kumar: And so….
131 00:18:30.010 ⇒ 00:18:36.280 Uttam Kumaran: Yeah, and I’m just… I’m just kind of interested to… to hear what you think about working directly with the clients and seeing, like.
132 00:18:36.630 ⇒ 00:18:42.189 Uttam Kumaran: I mean, they’re an interesting business, LE Health. We’re also… we were in talks with this company
133 00:18:42.360 ⇒ 00:18:44.490 Uttam Kumaran: Televero Health, as well.
134 00:18:44.760 ⇒ 00:18:48.500 Uttam Kumaran: But, like, I’m kind of wanting… kind of, like.
135 00:18:49.250 ⇒ 00:18:52.759 Uttam Kumaran: Ideally, maybe in a week or two, I can kind of get a sense from you on, like.
136 00:18:52.990 ⇒ 00:18:59.610 Uttam Kumaran: What do all these, like, It’s… are they doing telehealth, or, like, it’s sort of like this sort of…
137 00:18:59.890 ⇒ 00:19:02.330 Uttam Kumaran: Matching you with providers, type of thing?
138 00:19:02.330 ⇒ 00:19:06.920 Shreya Chowdhury: Ellie? Ellie has… Online and in-person services.
139 00:19:06.920 ⇒ 00:19:07.550 Uttam Kumaran: Okay.
140 00:19:07.550 ⇒ 00:19:10.510 Shreya Chowdhury: … So they’re both.
141 00:19:11.360 ⇒ 00:19:15.840 Uttam Kumaran: But do they have people… they have people, like, fill out a big form, and then it, like, gets routed? Okay.
142 00:19:15.840 ⇒ 00:19:27.089 Shreya Chowdhury: Yeah, so from what I can tell, it’s just, like, you… yeah, you click on the form, and then it’s like, there’s, like, a location option, so you pick, like, what location you would be matched to.
143 00:19:27.280 ⇒ 00:19:31.439 Shreya Chowdhury: Otherwise you pick online, and they’ll help you find an online provider.
144 00:19:31.850 ⇒ 00:19:37.030 Uttam Kumaran: Okay. Yeah, so I… we have… we’ve worked with a couple… talked… talked previously with a couple of
145 00:19:37.130 ⇒ 00:19:43.909 Uttam Kumaran: companies that are similar. All of these guys have the same thing. They have, like, some really complicated onboarding flow that people
146 00:19:44.330 ⇒ 00:19:47.639 Uttam Kumaran: And they need help optimizing it and, like, routing.
147 00:19:47.800 ⇒ 00:20:02.520 Shreya Chowdhury: Yeah, it’s honestly a little bit tricky to figure out, because I was, like… a lot of it, I was, like, filling in the gaps based on what I think would happen, and then also, like, trying to, like, make an appointment myself to see what the flow is, and then we had the check-in, and they were like.
148 00:20:02.680 ⇒ 00:20:05.280 Shreya Chowdhury: Yeah, we actually have no billing data.
149 00:20:05.280 ⇒ 00:20:05.740 Uttam Kumaran: Yeah.
150 00:20:05.740 ⇒ 00:20:10.520 Shreya Chowdhury: And I was like, okay, cool, that kind of changes the entire purchase flow.
151 00:20:10.520 ⇒ 00:20:11.270 Uttam Kumaran: Yeah, yeah.
152 00:20:12.440 ⇒ 00:20:13.360 Shreya Chowdhury: Yeah, so….
153 00:20:13.360 ⇒ 00:20:15.860 Uttam Kumaran: That’s what you’ll find a lot of folks we talk to
154 00:20:15.970 ⇒ 00:20:20.819 Uttam Kumaran: it… we’re there because it just got set up where it’s like a Frankenstein.
155 00:20:21.140 ⇒ 00:20:22.010 Uttam Kumaran: Yeah.
156 00:20:22.160 ⇒ 00:20:27.809 Uttam Kumaran: But the benefit is every one of these guys has the same problem, for the most part.
157 00:20:28.020 ⇒ 00:20:36.589 Uttam Kumaran: Like, and so, ideally, what I kind of want to think about is, once we get a sense of, like, their problem, okay, I’m gonna go back to Televero and say.
158 00:20:36.780 ⇒ 00:20:40.370 Uttam Kumaran: We’re working with Ellie, this is the exact problem we’re solving for them.
159 00:20:41.080 ⇒ 00:20:44.850 Uttam Kumaran: do you guys have that problem? Sure, we can solve it for you. Like, that’s the… that’s…
160 00:20:45.430 ⇒ 00:20:47.310 Uttam Kumaran: That’s sort of what I’m curious about.
161 00:20:47.700 ⇒ 00:20:48.340 Shreya Chowdhury: Yeah.
162 00:20:48.450 ⇒ 00:20:58.659 Shreya Chowdhury: I wanted to ask, do we have any clients now where we’re doing any strategy work for them? Like, based on product analytics, not, like, setting up the data?
163 00:20:58.660 ⇒ 00:20:59.100 Uttam Kumaran: Yeah.
164 00:20:59.100 ⇒ 00:21:08.439 Shreya Chowdhury: Well, because I remember when you presented the Insomnia slide deck to me, I think that was kind of the plan, like, going forward, but is that any work we’re doing right now?
165 00:21:08.810 ⇒ 00:21:13.789 Uttam Kumaran: Yeah, Insomnia, we have some stuff, for, …
166 00:21:14.130 ⇒ 00:21:17.120 Uttam Kumaran: For Eden, we’re doing a lot of that work.
167 00:21:17.120 ⇒ 00:21:18.300 Shreya Chowdhury: Okay.
168 00:21:18.340 ⇒ 00:21:24.330 Uttam Kumaran: But again, that’s a lot of work that Robert is doing. Like, Robert’s the only one on the product analytics strategy side.
169 00:21:24.690 ⇒ 00:21:31.020 Uttam Kumaran: So, either he’s doing it, or he does not have the bandwidth to do it.
170 00:21:31.160 ⇒ 00:21:36.779 Uttam Kumaran: So, that’s, like, what is… the best route is just to ask him and take that off his plate.
171 00:21:36.780 ⇒ 00:21:37.640 Shreya Chowdhury: Okay.
172 00:21:37.650 ⇒ 00:21:40.839 Uttam Kumaran: So, like, the only reason we wouldn’t have done it
173 00:21:41.000 ⇒ 00:21:51.290 Uttam Kumaran: It’s because we didn’t have time. There’s also clients he’s turned down because we didn’t have bandwidth to, like, do that type of work, because there wasn’t anyone as senior on the, like, product analytics strategy side.
174 00:21:51.420 ⇒ 00:21:58.859 Uttam Kumaran: Right? Because, like, I’m not that senior there. Awash is more on, like, DEAs, like, kind of, like, on the data side.
175 00:21:59.220 ⇒ 00:22:06.610 Uttam Kumaran: Like, I could do… I have done that, I could do it, but it’s like, I also am not… well, he’s… he’s the… he’s the one that can kind of dictate that, so…
176 00:22:06.710 ⇒ 00:22:07.210 Uttam Kumaran: Yeah.
177 00:22:07.210 ⇒ 00:22:13.529 Shreya Chowdhury: And when I say strategy, I mean less of, like, the, like, data setup, and more so, like….
178 00:22:13.530 ⇒ 00:22:18.030 Uttam Kumaran: Yeah, yeah, like, what, like, how to roll out this product, what product… Yeah. Yeah, yeah.
179 00:22:18.030 ⇒ 00:22:29.449 Shreya Chowdhury: Honestly, yeah, like, I… if there is work for that, and you guys don’t have bandwidth, I’m happy to take it on, because I do like that work, and I find it interesting.
180 00:22:29.450 ⇒ 00:22:36.359 Uttam Kumaran: So, what would, like, the… like, so another client we’re talking… we’re… this is a current client of ours that we’re doing much of work for.
181 00:22:36.720 ⇒ 00:22:43.849 Uttam Kumaran: if I gave… if I had all the data, like, what is it… like, what are some outputs, or, like, how do you think I can make that happen? Like, for example.
182 00:22:44.000 ⇒ 00:22:46.199 Uttam Kumaran: I just got all of their, like.
183 00:22:46.540 ⇒ 00:22:54.510 Uttam Kumaran: core product data from their Postgres. They have, like, Amplitude, like, halfway set up, so Henry is working with them to set up an event.
184 00:22:54.560 ⇒ 00:22:59.370 Shreya Chowdhury: Okay. What would you need? Like, there’s nobody on their company that’s thinking about.
185 00:22:59.570 ⇒ 00:23:04.059 Uttam Kumaran: Products… there is a prod… there are product people, but, like, they are…
186 00:23:04.260 ⇒ 00:23:06.110 Uttam Kumaran: Just, like, in the weeds right now.
187 00:23:06.420 ⇒ 00:23:11.839 Uttam Kumaran: what, like, what do you need as inputs that I can give you that maybe we can collaborate on, like.
188 00:23:13.020 ⇒ 00:23:17.660 Uttam Kumaran: like, I guess, like, tell me what you would need and what, like, an output I can put in front of that would look like.
189 00:23:18.190 ⇒ 00:23:23.099 Shreya Chowdhury: Okay, let me take a look, I’ll dig through, because I… I don’t know anything about this client.
190 00:23:23.100 ⇒ 00:23:23.939 Uttam Kumaran: Yeah, yeah, yeah.
191 00:23:23.940 ⇒ 00:23:27.540 Shreya Chowdhury: I’ll dig through, and then I’ll get back to you with some notes once I take a look.
192 00:23:27.540 ⇒ 00:23:33.280 Uttam Kumaran: Yeah, and you can… I can give you, … you can just create an account, or I can give you our account to log into, …
193 00:23:33.560 ⇒ 00:23:39.599 Uttam Kumaran: Yeah, I guess my… my… my ask would be, let’s say you had all the data in front of you.
194 00:23:40.260 ⇒ 00:23:41.940 Uttam Kumaran: Is the output, like.
195 00:23:42.410 ⇒ 00:23:47.960 Uttam Kumaran: deck? Is output, like, a write-up? Is output, like, hey, can I talk to the head of product? And, like.
196 00:23:48.500 ⇒ 00:23:52.619 Uttam Kumaran: ask some questions, give some pointers. Like, tell me how to… how to lead you in.
197 00:23:53.000 ⇒ 00:23:55.079 Shreya Chowdhury: Yeah, I would say, like, ….
198 00:23:55.080 ⇒ 00:23:57.409 Uttam Kumaran: I haven’t told you, like, anything about this, don’t….
199 00:23:57.650 ⇒ 00:23:58.190 Shreya Chowdhury: Yeah.
200 00:23:58.190 ⇒ 00:23:59.660 Uttam Kumaran: overall, but, like, we…
201 00:24:00.060 ⇒ 00:24:09.280 Uttam Kumaran: We are… the hope is to get into that. Right now, we are still… they just had very basic instrumentation, but the nice thing is they actually have a lot of data.
202 00:24:09.400 ⇒ 00:24:11.740 Uttam Kumaran: So, I’m happy to hand that to you.
203 00:24:12.700 ⇒ 00:24:14.930 Uttam Kumaran: And if you’re like, okay, I think I can…
204 00:24:15.350 ⇒ 00:24:23.419 Uttam Kumaran: do, like, a business review, or do something, like, I guess I’m interested in, like, what that is. Like, what playbook could we run, or what that output would be that I could pitch them on?
205 00:24:23.690 ⇒ 00:24:38.519 Shreya Chowdhury: Yeah, in my experience, and I’m open to, alternative options here, but I would say, like, a combination of, like, a write-up, so the way that I would do it in the past is usually, like, …
206 00:24:38.640 ⇒ 00:24:40.339 Shreya Chowdhury: Like, a write-up with, like.
207 00:24:40.340 ⇒ 00:24:59.040 Shreya Chowdhury: the data that you worked with, and that’s sort of, like, the technical analysis there, and that goes in the appendix of the slide deck. Because the deck, I think, works better to be presenting, like… like, as far as the data storytelling goes, like, it works better to be presenting to, like, a larger audience, and especially non-technical folk, and, like, especially product folk, but then it’s, like.
208 00:24:59.450 ⇒ 00:25:03.559 Shreya Chowdhury: You can have, like, the charts from, like, the write-up and the whatever, and then…
209 00:25:03.960 ⇒ 00:25:10.149 Shreya Chowdhury: If anyone wants to go deeper, then I think, like, it helps to have the technical analysis there.
210 00:25:10.180 ⇒ 00:25:26.970 Shreya Chowdhury: So what I would do is, like, if… like, when I’m working with the data, I would just have, like, a data analysis doc that summarizes, like, what, like, our takeaways, and then as far as, like, our recommendation and what we should do, I feel like a slide deck might be better for that.
211 00:25:27.800 ⇒ 00:25:30.499 Uttam Kumaran: Okay, I mean, that would crush with these guys.
212 00:25:31.240 ⇒ 00:25:38.179 Uttam Kumaran: they have technical people, they have non-technical people, so we would need… at least need a deck. And then, yeah, there’s not, like…
213 00:25:38.290 ⇒ 00:25:46.400 Uttam Kumaran: there’s… they don’t have a lot of data people on their side, but it’s probably worth keeping all the queries and stuff in a notebook or whatever, and then…
214 00:25:47.480 ⇒ 00:25:55.150 Uttam Kumaran: I’m down. Like, I have… again, I can tell you more about this company next week, but we have all their data, we’re gonna get all their product analytics data.
215 00:25:55.360 ⇒ 00:25:57.170 Uttam Kumaran: And then, we’re kind of like.
216 00:25:58.280 ⇒ 00:26:05.510 Uttam Kumaran: I was gonna basically do the analysis, like, figure out, like, all the core stuff about their current existing… basically, they have no insight into, like.
217 00:26:06.210 ⇒ 00:26:09.370 Uttam Kumaran: What people are doing on their product, beyond just, like.
218 00:26:10.390 ⇒ 00:26:11.010 Shreya Chowdhury: Yeah. Shocking.
219 00:26:11.010 ⇒ 00:26:20.369 Uttam Kumaran: really, really common stuff. They have no flow-based event, like, understanding of, like, anything. And they just raised, like, $30 million, I don’t know, they raised, like, a bunch of money.
220 00:26:20.720 ⇒ 00:26:28.820 Shreya Chowdhury: Yeah, I feel like for that one, then, and we can talk more about this next week, for that one, they probably have dashboarding needs, too, because if they have no idea what.
221 00:26:28.820 ⇒ 00:26:40.170 Uttam Kumaran: No, they do, they do, yeah. So they’re both, but I think, like, even if this is the jam we were getting in where I could get the dashboard, not gonna do… not gonna move the needle for them. Like….
222 00:26:40.920 ⇒ 00:26:41.470 Shreya Chowdhury: Yeah, no.
223 00:26:41.470 ⇒ 00:26:44.450 Uttam Kumaran: Ask us to use the dashboard to figure out the answer, right?
224 00:26:44.450 ⇒ 00:26:51.619 Shreya Chowdhury: Yeah, well, I think that one’s more for just so they know, like, where, like, if we help them determine what their North Star metrics are, they’ll know, like.
225 00:26:51.620 ⇒ 00:26:52.340 Uttam Kumaran: Yes.
226 00:26:52.340 ⇒ 00:27:04.010 Shreya Chowdhury: like, how those are sitting at any given point, and then if something breaks, like, at least they’ll be aware of it and know that, like, even if they don’t have the capability or capacity to look into it, it’s like, oh, at least, like.
227 00:27:04.300 ⇒ 00:27:04.810 Uttam Kumaran: Yes.
228 00:27:04.810 ⇒ 00:27:08.019 Shreya Chowdhury: warning that it needs to be looked into. ….
229 00:27:08.020 ⇒ 00:27:13.140 Uttam Kumaran: we just set up, I think it should be done by Tuesday, is, like, the first dashboard on
230 00:27:13.290 ⇒ 00:27:19.609 Uttam Kumaran: like, their core product data. We don’t have any events-based data there, but we do have, like.
231 00:27:19.980 ⇒ 00:27:23.790 Uttam Kumaran: Couple of the core objects that are a model of time series data, so….
232 00:27:24.020 ⇒ 00:27:34.300 Shreya Chowdhury: Yeah. Okay, cool. Well, I’ll take a look at it, and then I don’t know if you’ve started looking into their data and analyzing it at all, but, I’m happy to work on that together if you want to.
233 00:27:34.640 ⇒ 00:27:39.509 Shreya Chowdhury: And then we can, yeah, we can build a playbook or template for that together, too.
234 00:27:39.510 ⇒ 00:27:40.500 Uttam Kumaran: Yeah, okay.
235 00:27:41.140 ⇒ 00:27:42.470 Uttam Kumaran: Okay, great.
236 00:27:43.940 ⇒ 00:27:48.530 Uttam Kumaran: I know we just took up all the time. I guess, Sam, what do you think about this week?
237 00:27:49.870 ⇒ 00:27:58.819 Sam Roberts: Yeah, I mean, quickly, I guess, this week, you know, was a little messy for me, just, kind of being… having my poor internet, but, …
238 00:27:59.040 ⇒ 00:28:13.180 Sam Roberts: Casey and Mustafa, you know, they’re… they’re champs. They kind of know what they’re doing with these clients. I’m the one that’s still getting my feel for some of the client stuff, but it was good to work with them a little bit on… I think I worked with Casey a little bit on some of the database stuff for ABC.
239 00:28:13.360 ⇒ 00:28:25.110 Sam Roberts: It was cool to see Mustafa excited about that, Copilot Kid stuff, potentially for Interlude, and seeing him get that Interlude stuff going. But yeah, I mean, I… they’re… they’re champs, they’re… they know what they’re doing. Yeah.
240 00:28:25.620 ⇒ 00:28:30.460 Sam Roberts: I feel pretty good about this week, even though I was a little… I was the one that was causing problems, I felt like, for me.
241 00:28:32.820 ⇒ 00:28:40.120 Uttam Kumaran: Yeah, I think probably the biggest, maybe, thing to think about next week is, like, I sort of gave the feedback about how you could be the first point of escalation.
242 00:28:40.390 ⇒ 00:28:45.330 Uttam Kumaran: on the AI side, so I think that’d be great. I’m really happy that you’re able to run
243 00:28:45.560 ⇒ 00:28:54.619 Uttam Kumaran: stand-ups and things like that, I think that’s great. And yeah, I think carving out time to either pair with them… both of them work pretty isolated, and….
244 00:28:54.620 ⇒ 00:28:55.230 Sam Roberts: Yay.
245 00:28:55.230 ⇒ 00:29:10.809 Uttam Kumaran: like, I think Mustafa’s good at communicating, Casey will sometimes spin his wheels, but I think if they can sit with you and you can pair on something, they could level up a little bit on just general engineering. And then also, I think start… I think consider starting to… if we don’t have… if you think they have bandwidth.
246 00:29:11.120 ⇒ 00:29:13.680 Uttam Kumaran: We can take off more tickets for the internal work.
247 00:29:14.500 ⇒ 00:29:18.230 Uttam Kumaran: … Sort of, I’ll leave that to you, too.
248 00:29:18.480 ⇒ 00:29:23.869 Uttam Kumaran: To decide, so… Yeah. But, like, for example, for ABC, like.
249 00:29:23.980 ⇒ 00:29:32.869 Uttam Kumaran: I know we’re… I’m gonna pitch them on the co-pilot thing, so that’d be great to, like, just have something that I can sort of screenshot, and then I know they’re doing the database work there.
250 00:29:33.350 ⇒ 00:29:43.160 Uttam Kumaran: I think the default go-to-market engineering work we’re doing is really, really interesting with Clay, so it’s just getting familiar with that so that you can start to sub in for me on questions there.
251 00:29:43.700 ⇒ 00:29:54.220 Sam Roberts: Yeah, I feel like I’m starting to get there. It was definitely… like, default is a little more opaque to me still, but ABC and Interlude, I feel much more comfortable than I did even earlier this week, having just sat in on a few more things, so…
252 00:29:54.820 ⇒ 00:29:57.020 Sam Roberts: Next week should be better with those guys, at least.
253 00:29:58.200 ⇒ 00:29:58.750 Uttam Kumaran: Okay.
254 00:30:00.300 ⇒ 00:30:00.990 Uttam Kumaran: Cool.
255 00:30:02.690 ⇒ 00:30:07.879 Uttam Kumaran: … Yeah, Waish, anything else you wanted to cover? I just had a couple of points.
256 00:30:10.660 ⇒ 00:30:11.420 Awaish Kumar: Nope.
257 00:30:11.810 ⇒ 00:30:12.340 Uttam Kumaran: Okay.
258 00:30:12.640 ⇒ 00:30:15.269 Uttam Kumaran: Yeah, so I think a couple things, …
259 00:30:16.120 ⇒ 00:30:20.969 Uttam Kumaran: is… I think I would like this team in our Monday meeting with the delivery team, I think…
260 00:30:21.120 ⇒ 00:30:24.230 Uttam Kumaran: It’d be great for us to even just nail down, like, the basics, like.
261 00:30:24.380 ⇒ 00:30:29.290 Uttam Kumaran: What is a well-grouped ticket? Should we be using, like, ticket tags and linear?
262 00:30:29.670 ⇒ 00:30:33.700 Uttam Kumaran: Can we agree on, like, how do we estimate stuff…
263 00:30:34.440 ⇒ 00:30:37.509 Uttam Kumaran: Like, I want us to have, like.
264 00:30:37.800 ⇒ 00:30:43.100 Uttam Kumaran: I don’t want the PM team to decide that, like, we should decide that, and then be like, this is the way
265 00:30:43.210 ⇒ 00:31:01.219 Uttam Kumaran: we do… we do that, so I think that would be helpful. If you have opinions, there’s a note in the delivery channel on that. The other thing is, I… I wrote up these docs on, like, a monthly delivery review, the leveling guide, just, like, if you have a moment in your bored, and just, like, leave comments there.
266 00:31:01.790 ⇒ 00:31:04.539 Uttam Kumaran: Specifically the monthly delivery review.
267 00:31:04.720 ⇒ 00:31:08.850 Uttam Kumaran: I’m sort of, like… we were more traditional in, like.
268 00:31:08.970 ⇒ 00:31:22.510 Uttam Kumaran: engineering manager manages people, and there’s gonna be, like, weekly one-on-ones, or… and I was one-on-one with everybody, and then I had to cancel all of them, I didn’t have time. So I want to get to some cadence where this team is working with
269 00:31:22.890 ⇒ 00:31:29.810 Uttam Kumaran: it has, like, at least a monthly check-in with everybody in their functional group. So, like, Shreya, you could do one with Henry.
270 00:31:30.030 ⇒ 00:31:42.509 Uttam Kumaran: And then, Sam, you can do one for AI folks, ways for data folks. And in there, really, it’s just, like, we look at sort of what was accomplished that month. We also look at feedback from
271 00:31:42.790 ⇒ 00:31:47.639 Uttam Kumaran: The team, we look at See feedback from client.
272 00:31:48.000 ⇒ 00:32:05.859 Uttam Kumaran: And then you sort of just, like, let people kind of give feedback, like, what’s feedback from them? And then ideally, that should ramp up into, like, how we’re gonna do, like, raise and bonuses. So, we kind of want to start to identify who in the company is really crushing it. We also want to identify who’s struggling.
273 00:32:06.050 ⇒ 00:32:16.450 Uttam Kumaran: I can no longer meet with everybody, so I kind of want to… I am putting that on you guys to start to think about how to do, but this meeting, I don’t want it to be like.
274 00:32:16.670 ⇒ 00:32:24.479 Uttam Kumaran: how it is in big companies, where you have one person who’s in a shitload of one-on-ones, and, like, that’s all their job is. This is, like, a once-a-month
275 00:32:24.520 ⇒ 00:32:41.060 Uttam Kumaran: you call the person on your team, you’re like, let’s just go through what we did this month, and then in this meeting, everybody comes back and is like, this person’s crushing it, this person needs help, this person, is not gonna work out. That’s what I want to hear, and that helps me then go make those decisions and support us.
276 00:32:41.230 ⇒ 00:32:42.210 Uttam Kumaran: …
277 00:32:42.520 ⇒ 00:32:49.520 Uttam Kumaran: So if you can take a look at that doc and just leave me your thoughts, we could probably start to institute that next week, and Rico will help us with scheduling, but…
278 00:32:50.070 ⇒ 00:32:59.799 Uttam Kumaran: I think it’s better than just hopping on a one-on-one with someone being like, so, how’s it going? This gives us some structure, and it gives them some peace of mind on, like, what’s expected of them.
279 00:33:01.180 ⇒ 00:33:06.940 Uttam Kumaran: And then, ideally, all this feedback gets consolidated so we can use it for overall reviews.
280 00:33:10.500 ⇒ 00:33:11.840 Awaish Kumar: Okay, no.
281 00:33:13.050 ⇒ 00:33:13.560 Sam Roberts: I’ll take a look.
282 00:33:13.560 ⇒ 00:33:14.589 Shreya Chowdhury: Sounds good.
283 00:33:15.090 ⇒ 00:33:15.920 Uttam Kumaran: Okay.
284 00:33:16.590 ⇒ 00:33:18.860 Shreya Chowdhury: So, do we use GitHub tickets?
285 00:33:20.050 ⇒ 00:33:25.130 Uttam Kumaran: We… we’re using GitHub issues, but we’re using linear tickets now for.
286 00:33:25.130 ⇒ 00:33:25.780 Shreya Chowdhury: Okay.
287 00:33:26.530 ⇒ 00:33:28.030 Uttam Kumaran: Did you add it to linear?
288 00:33:28.280 ⇒ 00:33:34.759 Shreya Chowdhury: Yeah, I don’t know if I have anything assigned to me on Linear yet. I did sign up for it when I got the invite from Rico, but….
289 00:33:34.760 ⇒ 00:33:41.870 Uttam Kumaran: Yeah, I think Amber, in the Ellie channel, she said that she’s going to work on
290 00:33:42.450 ⇒ 00:33:46.619 Uttam Kumaran: Milestones and the project management plan, so then she’s gonna work on the tickets.
291 00:33:46.830 ⇒ 00:33:47.859 Shreya Chowdhury: I just….
292 00:33:47.860 ⇒ 00:33:49.690 Uttam Kumaran: I just tagged you in, …
293 00:33:50.970 ⇒ 00:33:54.150 Uttam Kumaran: I’ll just tagging this message right here.
294 00:33:54.150 ⇒ 00:33:58.620 Shreya Chowdhury: Sounds good, because I was going to start making, like, GitHub issues for myself, but….
295 00:33:58.620 ⇒ 00:34:02.839 Uttam Kumaran: Yeah, so we do linear tickets, and then you can just use the branch.
296 00:34:02.950 ⇒ 00:34:08.580 Uttam Kumaran: If you need to push stuff, use the branch thing to create your branch, but… ….
297 00:34:09.270 ⇒ 00:34:11.809 Awaish Kumar: Yeah, I think if you collaborate with Amber on that.
298 00:34:11.810 ⇒ 00:34:14.209 Uttam Kumaran: I just sent you the note, and that’s probably perfect.
299 00:34:14.520 ⇒ 00:34:17.430 Shreya Chowdhury: Okay, cool. Sounds good, thank you.
300 00:34:17.969 ⇒ 00:34:24.789 Awaish Kumar: Yeah, I actually was looking at the meeting notes which I put for our
301 00:34:25.279 ⇒ 00:34:29.589 Awaish Kumar: like this meeting sync, on Wednesday.
302 00:34:29.899 ⇒ 00:34:36.509 Awaish Kumar: So I have, like, suggested some of the ways to capture the feedback, …
303 00:34:37.369 ⇒ 00:34:44.129 Awaish Kumar: From the, like, the further case studies, to capture all the content from the team members, and also
304 00:34:44.339 ⇒ 00:34:47.249 Awaish Kumar: To capture the feedback from client.
305 00:34:48.059 ⇒ 00:34:55.099 Awaish Kumar: So, I have been, … I’ve seen some companies, like, the… which are, like, which basically…
306 00:34:55.499 ⇒ 00:35:02.969 Awaish Kumar: hire people for, like, touring some, like, for different clients. So they have, like, automated a lot of things.
307 00:35:03.409 ⇒ 00:35:06.419 Awaish Kumar: So we can utilize our, for example, platform
308 00:35:06.799 ⇒ 00:35:21.709 Awaish Kumar: to automate, like, we have a clear structure of, different questions. Like, we have, for example, in Notion right now, we might have a page and option to record, so that will, like, drive
309 00:35:21.809 ⇒ 00:35:25.669 Awaish Kumar: the… The full, like, kind of interview.
310 00:35:25.889 ⇒ 00:35:30.499 Awaish Kumar: And then convert, like, the AI will convert that into a case study for us.
311 00:35:32.610 ⇒ 00:35:34.300 Uttam Kumaran: Yeah, I agree.
312 00:35:34.300 ⇒ 00:35:35.820 Awaish Kumar: European four times.
313 00:35:36.320 ⇒ 00:35:46.689 Uttam Kumaran: Yeah, right now the marketing team interviews folks, but I think we could do something like that, for sure. I mean, one of the things is, like, yes, I just want our clients’ stories to get out
314 00:35:47.150 ⇒ 00:35:49.619 Uttam Kumaran: Get out in the wild so we can share them.
315 00:35:49.780 ⇒ 00:35:53.549 Uttam Kumaran: So, you know, I think as this team all gets…
316 00:35:53.770 ⇒ 00:35:59.959 Uttam Kumaran: Understanding of all of our clients. Marketing will probably start to ask you, and then, yeah, we can work on how to streamline that.
317 00:36:01.080 ⇒ 00:36:05.650 Uttam Kumaran: Like, how can we just talk into the mic about a client for 5 minutes, and we turn that into a case study?
318 00:36:07.820 ⇒ 00:36:15.489 Awaish Kumar: We can have, like, 5 to 6 questions, and, like, maybe 1-minute response on each question, and…
319 00:36:15.860 ⇒ 00:36:19.949 Awaish Kumar: And then, then convert that into a… client, feedback.
320 00:36:20.650 ⇒ 00:36:21.650 Uttam Kumaran: Yeah.
321 00:36:26.880 ⇒ 00:36:27.750 Uttam Kumaran: Okay.
322 00:36:31.030 ⇒ 00:36:32.210 Awaish Kumar: Okay, thank you.
323 00:36:32.210 ⇒ 00:36:40.040 Uttam Kumaran: Great. Yeah, if anyone has any questions, just shoot it into that channel, … Perfect.
324 00:36:41.480 ⇒ 00:36:43.820 Uttam Kumaran: Alright, thank you guys, have a great weekend.
325 00:36:44.460 ⇒ 00:36:45.480 Sam Roberts: Yeah, you too.