Meeting Title: Weekly-Data-Review Date: 2024-05-10 Meeting participants: Ben Iphone, Uttam Kumaran
WEBVTT
1 00:00:58.030 ⇒ 00:00:58.740 ben iphone : What’s up?
2 00:00:58.960 ⇒ 00:01:00.480 Uttam Kumaran: Hey! Good morning!
3 00:01:00.740 ⇒ 00:01:01.800 ben iphone : Morning.
4 00:01:02.010 ⇒ 00:01:02.590 ben iphone : How are you.
5 00:01:02.590 ⇒ 00:01:04.379 Uttam Kumaran: How’s everything going good?
6 00:01:06.403 ⇒ 00:01:11.549 ben iphone : I feel like you have some weather there. I heard about one of my friends in Austin was saying. Something is going on.
7 00:01:11.800 ⇒ 00:01:21.380 Uttam Kumaran: Yeah in Texas is getting really rocked right now. I’m not particularly, I guess, last night, and today there’s supposed to be some storms. But
8 00:01:21.410 ⇒ 00:01:29.640 Uttam Kumaran: it’s like sunny, and then it hails but in a different part of Texas there’s like severe, severe flooding.
9 00:01:30.130 ⇒ 00:01:31.609 ben iphone : Got it. That’s what I heard about.
10 00:01:31.610 ⇒ 00:01:33.003 Uttam Kumaran: Yeah. And
11 00:01:33.950 ⇒ 00:01:39.779 Uttam Kumaran: and then, like, because summer is starting, and there’s like a lot there’s like the grid is struggling again. And
12 00:01:40.520 ⇒ 00:01:46.269 Uttam Kumaran: I don’t know. Texas, just, I think, has had all these great issues for like water and for electricity over there.
13 00:01:46.270 ⇒ 00:01:46.590 ben iphone : Yeah.
14 00:01:46.590 ⇒ 00:01:47.910 Uttam Kumaran: 2 years, so.
15 00:01:48.560 ⇒ 00:01:49.200 ben iphone : Yep.
16 00:01:51.000 ⇒ 00:01:52.000 ben iphone : yeah. Well.
17 00:01:52.250 ⇒ 00:01:53.759 ben iphone : can’t have it all.
18 00:01:54.807 ⇒ 00:02:00.682 Uttam Kumaran: Yeah, that’s like, that’s I can say, I don’t know in Austin it’s pretty fine. And
19 00:02:02.544 ⇒ 00:02:09.239 Uttam Kumaran: yeah. Some people, some other people texted me this week, too like, Are you flooded in? I’m like, no, it’s like.
20 00:02:09.240 ⇒ 00:02:10.447 ben iphone : Good, life is good.
21 00:02:10.759 ⇒ 00:02:12.429 Uttam Kumaran: Sunny. Yeah, it’s pretty normal.
22 00:02:14.011 ⇒ 00:02:18.760 ben iphone : Update on Eunice. I texted Michael this morning and I said.
23 00:02:18.790 ⇒ 00:02:22.659 ben iphone : What’s up? And he said, I’m gonna text you around 11 o’clock. So
24 00:02:23.530 ⇒ 00:02:30.056 ben iphone : I know he’s trying to. It’s not on him he’s trying to get. He’s trying to get. You know, the tech integration people
25 00:02:30.620 ⇒ 00:02:34.550 ben iphone : going. That’s really the only big update on my side. What? What do you got.
26 00:02:35.608 ⇒ 00:02:48.260 Uttam Kumaran: So there’s we’re like trying to work with the primus or premise or primus folks. They’re also like, really slow. We’re basically like ready to do whatever they need
27 00:02:50.550 ⇒ 00:02:53.776 Uttam Kumaran: But I guess I’m just gonna kind of wait until
28 00:02:54.180 ⇒ 00:02:59.099 Uttam Kumaran: they respond. I’m just gonna send another email today. I sent an email Wednesday. They went back and forth.
29 00:02:59.885 ⇒ 00:03:09.284 Uttam Kumaran: We like, we just need like credentials to kind of start using the Api so just gonna wait on that. The second thing is
30 00:03:09.830 ⇒ 00:03:16.360 Uttam Kumaran: yeah, we sent a bunch of updates to Dan on the dashboards was, gonna ask like.
31 00:03:16.440 ⇒ 00:03:20.130 Uttam Kumaran: if you know, if you saw them, or you think we should grab time or.
32 00:03:23.880 ⇒ 00:03:28.099 ben iphone : Just I would just poke again. I’ll do it. I’ll do it. I’ll just tell them
33 00:03:28.520 ⇒ 00:03:31.549 ben iphone : to make sure he looks at. He definitely didn’t notice the email.
34 00:03:31.750 ⇒ 00:03:39.789 Uttam Kumaran: Cool. Okay, that’s it. Yeah, we. We just said a bunch of updates. Then we needed a bit of feedback. The second thing is, there’s some updates on the shipping dashboard
35 00:03:40.100 ⇒ 00:03:45.719 Uttam Kumaran: we’re working on like this new like shipments data model that should like alleviate some of those issues. And as
36 00:03:45.770 ⇒ 00:03:55.780 Uttam Kumaran: we add more shipping providers, it’ll be really easy to just integrate. So the shipping dashboard is just gonna look, it’s gonna look the same. But we’re just using like a different data source for Kim.
37 00:03:56.323 ⇒ 00:04:03.799 Uttam Kumaran: We added in a new metric for her dashboard, which is like cost per conversion or cost per acquisition.
38 00:04:04.430 ⇒ 00:04:05.530 Uttam Kumaran: So she’s
39 00:04:05.580 ⇒ 00:04:08.879 Uttam Kumaran: like completely onboarded onto light dash for her weekly stuff.
40 00:04:09.180 ⇒ 00:04:09.925 Uttam Kumaran: Yep,
41 00:04:11.220 ⇒ 00:04:18.589 Uttam Kumaran: We helped her out with a question on getting customers getting the top customers who have bought filters
42 00:04:18.921 ⇒ 00:04:23.589 Uttam Kumaran: for a direct mail campaign that she’s, I think, kicking off or gonna kick off
43 00:04:25.390 ⇒ 00:04:27.810 Uttam Kumaran: So we just like kind of gathered that data
44 00:04:27.860 ⇒ 00:04:30.472 Uttam Kumaran: and kind of went through that process which is great, I think.
45 00:04:31.460 ⇒ 00:04:41.059 Uttam Kumaran: yeah, I was glad that, like she had that question, we were able to turn that around pretty quickly. So there’s a bunch of stuff that we are also kicking off on the testing side.
46 00:04:41.200 ⇒ 00:04:44.980 Uttam Kumaran: So finally, we kind of like are.
47 00:04:45.440 ⇒ 00:04:57.670 Uttam Kumaran: I wanted to nail the dashboard stuff for Kim, first, because that was the most pressing. But we’re kicking off like issuing some price tests, and maybe some content tests next week.
48 00:04:58.273 ⇒ 00:05:02.479 Uttam Kumaran: working directly with Kim on that. So that should be good. And hopefully.
49 00:05:03.120 ⇒ 00:05:09.679 Uttam Kumaran: I mean, I hope, and like at least 2 weeks. We have results, if not like sooner, depending on how much volume. So
50 00:05:11.570 ⇒ 00:05:15.820 Uttam Kumaran: that’s the stuff. There, I know there’s the there’s an email from
51 00:05:16.420 ⇒ 00:05:26.139 Uttam Kumaran: chuck. I just have not got to that yet. On some like shopify things or ship station things. So I need to look at that.
52 00:05:27.366 ⇒ 00:05:28.300 Uttam Kumaran: The Walmart
53 00:05:28.550 ⇒ 00:05:38.814 Uttam Kumaran: email, I responded to. We got back whatever we needed. So I’m gonna hand that off and that should get done. I looked at it. I don’t even know whether it like concerns us, but
54 00:05:39.368 ⇒ 00:05:47.679 ben iphone : Yeah, that would that I was unsure if I should I? I sent it just to Erin, the side of caution, but I don’t know if it actually is for us.
55 00:05:47.680 ⇒ 00:05:52.020 Uttam Kumaran: I think, yeah, we we are pulling that data. But I don’t think we’re doing
56 00:05:52.160 ⇒ 00:05:53.260 Uttam Kumaran: whatever they’re
57 00:05:53.500 ⇒ 00:05:56.530 Uttam Kumaran: talking about. But I’ll just check and then get back to her.
58 00:05:57.113 ⇒ 00:06:09.510 Uttam Kumaran: And it’s good to to know the rep there either way. The other thing is, we worked on this refunds analysis that I sent over. I don’t know if you had a chance to look at that, or we also sent it over to Cody.
59 00:06:11.190 ⇒ 00:06:11.850 ben iphone : Yeah.
60 00:06:12.640 ⇒ 00:06:13.730 ben iphone : I saw.
61 00:06:14.214 ⇒ 00:06:17.450 ben iphone : I I think we’re waiting for Cody to reply. Aren’t we.
62 00:06:17.450 ⇒ 00:06:21.349 Uttam Kumaran: Waiting for Cody. I can slack him if if you know if he’s on slack.
63 00:06:21.350 ⇒ 00:06:26.130 ben iphone : He is. Yeah, yeah, you can. You can do the easiest is always a group. Chat with me.
64 00:06:26.130 ⇒ 00:06:26.470 Uttam Kumaran: Okay.
65 00:06:26.470 ⇒ 00:06:32.460 ben iphone : Whoever you want to talk to, because if I’m in the group chat, everyone becomes magically more responsive.
66 00:06:32.913 ⇒ 00:06:33.366 Uttam Kumaran: Okay.
67 00:06:33.820 ⇒ 00:06:36.119 ben iphone : It’s this, it’s this incredible phenomenon.
68 00:06:36.460 ⇒ 00:06:46.183 Uttam Kumaran: Yes, I’m familiar with the phenomena you’re you’re like, is. There is your boss in the room right now.
69 00:06:47.627 ⇒ 00:07:00.252 Uttam Kumaran: Okay, so I mean. But on that we have, like a lot of really good information where a on refunds basically, and that analysis will live. The the only thing I wanted to share on. That was where we’re using this.
70 00:07:01.720 ⇒ 00:07:10.776 Uttam Kumaran: we’re using this new like kind of like site that we’ve been working on for like data. Vis I’ll just
71 00:07:12.460 ⇒ 00:07:14.476 Uttam Kumaran: show you real quick.
72 00:07:31.550 ⇒ 00:07:42.999 Uttam Kumaran: So we put in the warranty analysis, too, into here, which is great. And we’ve been using this. I basically told the team, I want to use this tool for any sort of analysis, because
73 00:07:43.100 ⇒ 00:07:52.420 Uttam Kumaran: one, it’s not like a Google Doc, where we’re like copying, pasting, and all these are queries that kind of live. So this will continue to move as goes on.
74 00:07:52.684 ⇒ 00:07:54.209 Uttam Kumaran: So we don’t kind of like
75 00:07:54.390 ⇒ 00:07:58.433 Uttam Kumaran: have a point in time analysis. And it kind of like dies.
76 00:07:58.930 ⇒ 00:08:18.130 Uttam Kumaran: and of course we’re doing, we’re gonna be kind of doing more and more analysis. What we what we kind of found on the refund side, is there? There definitely are like a couple of interesting things like the one thing I was like. Look, we’re gonna have top refunds from states gonna be by top 5 States. But we noticed some difference in what States are refunding what items?
77 00:08:19.320 ⇒ 00:08:26.580 Uttam Kumaran: and so we’re kind of asking a couple of follow questions. For example, Florida has, like a top, as a high amount of
78 00:08:26.750 ⇒ 00:08:28.195 Uttam Kumaran: refunds.
79 00:08:29.810 ⇒ 00:08:34.559 Uttam Kumaran: But Texas, for example, has, like more refund counts. So like
80 00:08:34.690 ⇒ 00:08:40.979 Uttam Kumaran: they’re refunding more smaller items, most likely. So those are things where we want to find out. Okay, like, what is the main difference? You can see.
81 00:08:40.980 ⇒ 00:08:46.090 ben iphone : So that’s probably off the cuff. That’s probably more heat pump.
82 00:08:46.110 ⇒ 00:08:49.110 ben iphone : which are higher ticket in Florida, and then
83 00:08:49.891 ⇒ 00:08:56.209 ben iphone : in Texas more returns of variable speed pumps. That’s probably what that is because
84 00:08:56.610 ⇒ 00:09:01.249 ben iphone : we sell a huge percent of heat pumps in Florida.
85 00:09:01.500 ⇒ 00:09:03.069 ben iphone : and they cost a fortune.
86 00:09:03.900 ⇒ 00:09:07.760 Uttam Kumaran: Is the heat pump is is mainly like for cooling, or what’s the difference.
87 00:09:07.760 ⇒ 00:09:09.770 ben iphone : No, it’s for heating. It’s for heating pool.
88 00:09:11.088 ⇒ 00:09:14.789 Uttam Kumaran: And then in Texas they just that’s not. They don’t really like.
89 00:09:15.500 ⇒ 00:09:15.870 ben iphone : Well.
90 00:09:15.870 ⇒ 00:09:16.630 Uttam Kumaran: Behavior.
91 00:09:18.080 ⇒ 00:09:19.870 ben iphone : Electric heat pumps.
92 00:09:20.420 ⇒ 00:09:22.115 ben iphone : electric key pumps.
93 00:09:22.720 ⇒ 00:09:29.379 ben iphone : are not as popular as gas heat pumps. There’s like certain like Re Cody will know this better. But there’s certain regions
94 00:09:29.460 ⇒ 00:09:33.790 ben iphone : that are partial to one like. For example, in the northeast, most people have a gas heater.
95 00:09:34.260 ⇒ 00:09:36.501 ben iphone : I have an electric one.
96 00:09:37.850 ⇒ 00:09:39.400 ben iphone : that could be something.
97 00:09:40.710 ⇒ 00:09:48.249 ben iphone : Some people in Texas might not even have heat heaters like there, there’s certain places where it’s like so hot that no one would even bother.
98 00:09:48.250 ⇒ 00:09:48.680 Uttam Kumaran: Yeah, I mean.
99 00:09:48.680 ⇒ 00:09:49.540 ben iphone : I would.
100 00:09:49.540 ⇒ 00:09:51.439 Uttam Kumaran: People don’t usually have heaters
101 00:09:52.140 ⇒ 00:09:55.030 Uttam Kumaran: here like I think I turn on the heat
102 00:09:55.400 ⇒ 00:09:56.550 Uttam Kumaran: like maybe, like
103 00:09:57.000 ⇒ 00:10:00.109 Uttam Kumaran: I, I can count on my hands like how many times.
104 00:10:00.110 ⇒ 00:10:00.860 ben iphone : Right?
105 00:10:01.140 ⇒ 00:10:04.079 ben iphone : Yeah, I think that that’s part of it. I think that there’s just
106 00:10:04.090 ⇒ 00:10:07.435 ben iphone : I think there’s like places like Arizona and Texas, where.
107 00:10:07.770 ⇒ 00:10:08.797 Uttam Kumaran: You need electric.
108 00:10:09.140 ⇒ 00:10:18.140 ben iphone : You don’t even use a heater, you just say, like, all right, like, for the 2 months of the year, the 2 months of the year where it’s not as warm. We’re just not going to use the pool.
109 00:10:20.740 ⇒ 00:10:25.370 ben iphone : that’s my sense. But Cody Cody really knows that better. But my sense is. That’s
110 00:10:25.730 ⇒ 00:10:28.799 ben iphone : just because Florida has more heat pump returns.
111 00:10:29.060 ⇒ 00:10:29.810 ben iphone : Okay.
112 00:10:32.120 ⇒ 00:10:32.790 ben iphone : that’s all.
113 00:10:33.033 ⇒ 00:10:33.520 Uttam Kumaran: We just.
114 00:10:33.960 ⇒ 00:10:36.250 ben iphone : This is a very nice visualization.
115 00:10:37.100 ⇒ 00:10:41.472 Uttam Kumaran: Yeah, we were just looking at like, what? What products?
116 00:10:42.230 ⇒ 00:10:50.459 Uttam Kumaran: And then, in particular, a couple of things that we wanted to like, look at follow ups. I mean, we wanted to talk to Cody as well, which was
117 00:10:50.610 ⇒ 00:10:51.460 Uttam Kumaran: like
118 00:10:51.680 ⇒ 00:11:06.040 Uttam Kumaran: we wanted to look at the Po basically stress us, the policy which we have like 90 days, I think. And I know we send an email just saying like what went into that. So one is, I want to poke at that. Basically understanding like, what’s the current policy? And what’s the current average day
119 00:11:06.080 ⇒ 00:11:07.441 Uttam Kumaran: to hit that
120 00:11:08.540 ⇒ 00:11:13.049 Uttam Kumaran: Second is looking at like refunds by channel. So like where people came from?
121 00:11:13.396 ⇒ 00:11:17.189 Uttam Kumaran: And then, yeah, this was the question that we just answered. So
122 00:11:17.460 ⇒ 00:11:19.620 Uttam Kumaran: what product classes are being returned?
123 00:11:21.270 ⇒ 00:11:24.209 Uttam Kumaran: the last thing that we actually were.
124 00:11:24.730 ⇒ 00:11:42.879 Uttam Kumaran: It’s actually working but I wanna get into this data is, we were we were able to do AI over the back and forth between Cody or whoever on the Cs team and the customer. So we take that entire back and forth. We kind of concatenate into one big like thread.
125 00:11:43.458 ⇒ 00:11:46.270 Uttam Kumaran: And then we can run AI on it to figure out like.
126 00:11:46.320 ⇒ 00:11:48.855 Uttam Kumaran: is it a basket of refund reasons?
127 00:11:49.580 ⇒ 00:11:50.560 ben iphone : Okay. Great.
128 00:11:50.560 ⇒ 00:12:00.527 Uttam Kumaran: So what we’re gonna do is bring in that data. So you so right now cause the right. Now, we’re not filling out a ton of these Zendesk fields just because they’re probably dealing with a ton of
129 00:12:01.526 ⇒ 00:12:08.859 Uttam Kumaran: different reasons. So we’re gonna fill in that field just based on classifying it from the back and forth.
130 00:12:09.230 ⇒ 00:12:12.930 ben iphone : I love that I love that, and then there’s so much we can do with that information.
131 00:12:13.990 ⇒ 00:12:15.090 Uttam Kumaran: Yeah, I mean.
132 00:12:15.170 ⇒ 00:12:20.710 Uttam Kumaran: even more. It’s like one. There’s understanding understanding like sentiment. So just understanding. Like.
133 00:12:21.130 ⇒ 00:12:32.999 Uttam Kumaran: I don’t know if they currently have like a prioritization scheme, but it may be helpful to be like hit the angriest people first, or or also even like, if there’s recurring customers hit them. First, there’s also.
134 00:12:33.210 ⇒ 00:12:43.529 Uttam Kumaran: yeah. Again, we can understand things like, is there? Is there like a particular reason or a particular like reason, that’s outside of like a common
135 00:12:43.670 ⇒ 00:12:49.559 Uttam Kumaran: segment that we might guess which is like broken or unnecessary. We can. We can see a lot of that data.
136 00:12:49.690 ⇒ 00:12:59.810 Uttam Kumaran: And this this actually is like, I just went to like a workshop on Wednesday to kind of like, learn a lot of this stuff and doing it snowflake. And
137 00:12:59.860 ⇒ 00:13:01.109 Uttam Kumaran: yeah, it’s like
138 00:13:01.190 ⇒ 00:13:05.470 Uttam Kumaran: we’re gonna we’re gonna nail this. They just released a ton of new features on this. So
139 00:13:05.640 ⇒ 00:13:06.740 Uttam Kumaran: yeah, I actually.
140 00:13:06.740 ⇒ 00:13:12.220 ben iphone : To strange timing on it. If I listen to a podcast
141 00:13:13.400 ⇒ 00:13:18.015 ben iphone : I’m going on a tangent as always, but you might appreciate it. But
142 00:13:18.670 ⇒ 00:13:21.719 ben iphone : you know Lex Friedman, the Podcaster.
143 00:13:22.200 ⇒ 00:13:24.977 ben iphone : He interviewed Bb. Net and Yahoo
144 00:13:25.440 ⇒ 00:13:26.730 Uttam Kumaran: Listen to that. Yeah.
145 00:13:26.730 ⇒ 00:13:30.439 ben iphone : Not long before October seventh.
146 00:13:30.440 ⇒ 00:13:31.470 Uttam Kumaran: Yeah, yeah, yeah.
147 00:13:31.470 ⇒ 00:13:45.519 ben iphone : The conversation wasn’t heavy, it? It’s one of the only conversations that I’ve seen recently with Vb. That’s not heavy terrorism, counter terrorism. It it was more, it was. Honestly, I felt it was more of an economic
148 00:13:45.600 ⇒ 00:13:49.490 ben iphone : thinking about Israel. Yeah, the economy is is tech.
149 00:13:50.100 ⇒ 00:13:53.219 ben iphone : And hearing his point of view on AI.
150 00:13:53.890 ⇒ 00:14:00.720 ben iphone : I’ve never heard a world leader talk like this at all like they’re all, you know, full of shit, like he actually.
151 00:14:00.720 ⇒ 00:14:08.799 Uttam Kumaran: No, no, I said the same thing. And you know, yeah, I said, like, Wow, I mean hit that any. Of course, he’s articulating multiple languages, but
152 00:14:08.990 ⇒ 00:14:12.809 Uttam Kumaran: I was like, Damn! It was pretty good. I remember listening to it, too.
153 00:14:13.860 ⇒ 00:14:16.049 ben iphone : Yeah. He’s like me. He’s a he’s a
154 00:14:16.190 ⇒ 00:14:19.800 ben iphone : call, you know. Sabra, Israeli, American.
155 00:14:21.079 ⇒ 00:14:21.649 ben iphone : But
156 00:14:22.370 ⇒ 00:14:25.584 ben iphone : anyway, I was so impressed because
157 00:14:27.010 ⇒ 00:14:36.672 ben iphone : like, how obvious, like, how obvious! You know what I mean. Like, it’s it’s so obvious like, that’s where the resources need to go like.
158 00:14:37.590 ⇒ 00:14:45.730 Uttam Kumaran: I mean, that’s why, like the yeah, the like. I’ve worked with a lot of Israeli engineers so talented it’s it’s for me it’s crazy.
159 00:14:45.750 ⇒ 00:14:55.220 Uttam Kumaran: That is, such a small surface area can have that concentration of, especially in Tel Aviv, that concentration of tech talent. It’s really like Tel Aviv.
160 00:14:55.620 ⇒ 00:14:59.210 Uttam Kumaran: like San Francisco, New York, and, like Tel Aviv.
161 00:14:59.760 ⇒ 00:15:10.329 ben iphone : Israel makes sense, though like it would. Ha! What what you realize is this so like, here’s like the way this goes, you go to high school. You graduate, you go straight to the army.
162 00:15:10.800 ⇒ 00:15:15.880 ben iphone : they figure out, and I had to go through this process to to not go to the army.
163 00:15:15.880 ⇒ 00:15:16.200 Uttam Kumaran: I was.
164 00:15:16.200 ⇒ 00:15:17.069 ben iphone : Year, but
165 00:15:17.340 ⇒ 00:15:23.989 ben iphone : they figure out like what and this is. And like, I have a huge issue with education, especially as a parent now.
166 00:15:24.150 ⇒ 00:15:29.029 ben iphone : cause I was. I’m I’m dyslexic. So like there were certain things growing up that were just like 2
167 00:15:29.210 ⇒ 00:15:35.950 ben iphone : challenging for me. But like I had other skills, but they they I couldn’t use. They didn’t count, you know, towards like a grade.
168 00:15:35.950 ⇒ 00:15:36.300 Uttam Kumaran: Yeah.
169 00:15:36.300 ⇒ 00:15:39.549 ben iphone : But basically, you know, you’re 17, you get drafted.
170 00:15:40.530 ⇒ 00:15:51.210 ben iphone : They start to figure out what you have from like a basic skill level, you know, like, if it seems like you’re like a superb athlete, and
171 00:15:51.470 ⇒ 00:16:02.469 ben iphone : you know you you’re you’re, you know, like, you know, you’ll probably they’ll probably throw you towards combat. And and if you’re really smart and a superb athlete, they throw you towards like something like elite.
172 00:16:02.700 ⇒ 00:16:04.969 ben iphone : But if they see you’re just like
173 00:16:05.360 ⇒ 00:16:08.009 ben iphone : really gifted with computers and math.
174 00:16:08.320 ⇒ 00:16:10.440 ben iphone : They’re going to throw you towards engineering.
175 00:16:10.480 ⇒ 00:16:13.639 ben iphone : And you’re gonna spend 4 years or 3 years
176 00:16:14.210 ⇒ 00:16:16.120 ben iphone : only building product
177 00:16:16.650 ⇒ 00:16:19.620 ben iphone : before you even step into step foot into college.
178 00:16:19.670 ⇒ 00:16:21.160 ben iphone : At the end of that
179 00:16:21.320 ⇒ 00:16:26.820 ben iphone : people go fuck around. They go to like Thailand, or whatever. For a you know, they go travel for a year.
180 00:16:26.980 ⇒ 00:16:27.310 Uttam Kumaran: Yeah.
181 00:16:27.310 ⇒ 00:16:29.030 ben iphone : And then they go. Then they go to school.
182 00:16:29.600 ⇒ 00:16:32.819 ben iphone : and they’re at this point. They’re like 22 years old.
183 00:16:32.890 ⇒ 00:16:38.820 ben iphone : They’re so mature they already know that they’re like, you know, like a a really good engineer.
184 00:16:39.110 ⇒ 00:16:45.509 ben iphone : And they get a lot out of the college experience because it’s very focused. And they already know what they’re gonna do.
185 00:16:45.910 ⇒ 00:16:56.270 ben iphone : So in in most cases you don’t even need to go. They don’t even need to go to school anymore, like they’re ready. They’re already ready to go. They just start companies. But that’s the reason is like they don’t get ruined like
186 00:16:56.460 ⇒ 00:16:57.350 ben iphone : we
187 00:16:57.510 ⇒ 00:17:02.460 ben iphone : like, you know, throwing me to Indiana didn’t like. I was already like a social guy.
188 00:17:02.860 ⇒ 00:17:04.260 Uttam Kumaran: No, I know what you mean.
189 00:17:04.260 ⇒ 00:17:06.970 ben iphone : You know, like it’s it’s like my biggest skill
190 00:17:07.800 ⇒ 00:17:13.060 ben iphone : didn’t like develop really there. Like, I already had it, you know, like, so it would. Probably
191 00:17:13.099 ⇒ 00:17:15.620 ben iphone : the system is just made, for
192 00:17:16.060 ⇒ 00:17:19.230 ben iphone : they’re constantly investing in their people by doing this.
193 00:17:20.020 ⇒ 00:17:31.159 Uttam Kumaran: Yeah, like they need to. I mean in in Austin. I just read this article in the paper yesterday is like, they’re they’re implementing these like this, like huge trade school academy, and basically being like.
194 00:17:31.190 ⇒ 00:17:35.280 Uttam Kumaran: stop going to like 4 year colleges come, learn like
195 00:17:35.570 ⇒ 00:18:01.449 Uttam Kumaran: like a really significant trade, where, for example, in Austin, I I mean, I just have it there behind me. It’s like they’re investing about like 2530,000,000,000 and infrastructure projects. They’re literally like we have, like a 50% shortage of of people. We need to go implement those bridges, roads, highways, water all that stuff. And they’re like we need this many welders, all these things. And they’re like, we have a shortage. And they’re what they’re doing. They’re starting an academy
196 00:18:01.470 ⇒ 00:18:06.510 Uttam Kumaran: tied within the community colleges to basically train people to do that. And then they’re like.
197 00:18:06.740 ⇒ 00:18:09.240 Uttam Kumaran: I mean, I was ready that I’m like.
198 00:18:09.800 ⇒ 00:18:26.290 Uttam Kumaran: I I if you’re if you’re just like coming out of high school, and your options are like, go to like a local state school just to party and like, wash out or go to that like you should totally go to that 2 years, and you could probably end up making like 60 70 k. 2 years out of college.
199 00:18:26.490 ⇒ 00:18:28.400 ben iphone : Yeah, it’s incredible. It’s kind, like.
200 00:18:28.900 ⇒ 00:18:33.760 ben iphone : It’s it’s there’s certain things that you can’t reply. It’s my, my generation
201 00:18:33.780 ⇒ 00:18:41.699 ben iphone : is the one that, like you were forced to go to college, like we basically were told, you don’t go to college. You will amount to nothing.
202 00:18:42.880 ⇒ 00:18:46.670 ben iphone : That was basically the. And now I’m like.
203 00:18:46.740 ⇒ 00:18:47.750 ben iphone : I’m like.
204 00:18:47.910 ⇒ 00:18:49.613 ben iphone : so anti, I’m so.
205 00:18:50.040 ⇒ 00:18:55.199 Uttam Kumaran: I’m fine. It’s tough. And I talked to my dad about this, too, because I’ve kinda like
206 00:18:55.640 ⇒ 00:18:59.339 Uttam Kumaran: I don’t know how much that did for me in terms of like
207 00:18:59.980 ⇒ 00:19:03.786 Uttam Kumaran: learning this, I actually learned all this stuff. I learned all the job. Frankly.
208 00:19:04.360 ⇒ 00:19:08.459 Uttam Kumaran: I learned like 10 days before the interview. I like taught myself everything.
209 00:19:08.510 ⇒ 00:19:19.599 Uttam Kumaran: But I. I had learned computers in high school, and then I stayed interested in computers. I worked on projects on my own, like none of the stuff I learned in school related to computer engineering and stuff like that, really.
210 00:19:19.820 ⇒ 00:19:32.889 Uttam Kumaran: And my school didn’t have like a really sophisticated computer science. They’re teaching like Java and nonsense. And the last thing is my school. Actually, they they tried to get me to not take finance classes because I wanted to take
211 00:19:33.240 ⇒ 00:19:41.040 Uttam Kumaran: like, I want to take investments and corporate finance and get into like the capstone finance course they were trying to the engineering school like they tried to talk me out of it.
212 00:19:41.360 ⇒ 00:19:54.523 Uttam Kumaran: And I’m like, you guys don’t understand like you started like a Liberal Arts Organization order for people to take other stuff. And then here you are saying like, Oh, your engineering course load is so high you need to take like Cal 4 and stuff.
213 00:19:54.810 ⇒ 00:19:55.020 ben iphone : Yeah.
214 00:19:55.230 ⇒ 00:20:02.800 Uttam Kumaran: And I’m like, I just wanna go take investments and corporate finance where all they’re doing is adding some traffic and multiplying occasionally.
215 00:20:02.950 ⇒ 00:20:03.600 ben iphone : Yeah.
216 00:20:03.600 ⇒ 00:20:27.720 Uttam Kumaran: Like I’m and I I was telling the management school. I’m like, you guys don’t understand. The level of math in your world is so low. If you even just have some engineers come in here, they would dominate your classroom, because these are all like very basic issues, and the finance people don’t take any math, and I was like, so I don’t know I I really made that place like my own, and then I just did whatever I felt like I was like, I’m gonna graduate.
217 00:20:27.820 ⇒ 00:20:36.839 Uttam Kumaran: what a. And then we’re gonna keep running. And then I was happy to get into data. But all the data stuff I learned on the job like nothing I learned from school.
218 00:20:36.840 ⇒ 00:20:44.130 ben iphone : That’s why the Israeli system is so good because people are getting practical experience early, like.
219 00:20:44.432 ⇒ 00:20:50.789 Uttam Kumaran: Co-ops and stuff are kind of towards that, but they should do that earlier, like doing like a 50 year. Co-OP.
220 00:20:50.790 ⇒ 00:20:51.975 ben iphone : No, it’s crazy.
221 00:20:52.370 ⇒ 00:20:53.380 Uttam Kumaran: Money, grab.
222 00:20:53.380 ⇒ 00:20:56.930 ben iphone : It’s crazy. I. My thought, like as of today, is
223 00:20:56.960 ⇒ 00:20:59.579 ben iphone : obviously the kids need to make their own decision. But
224 00:20:59.810 ⇒ 00:21:07.740 ben iphone : probably graduate high school and go fuck around for a little bit like, get that out of your system like, go go to Europe, get wasted.
225 00:21:07.870 ⇒ 00:21:10.940 ben iphone : go to Asia, do that thing, you know, and then
226 00:21:12.100 ⇒ 00:21:21.280 ben iphone : get some kind of combo where, like they like, go get some actual experience. And if they start to figure out what they’re into, you know, you figure out what’s the best path for it. But
227 00:21:22.080 ⇒ 00:21:24.620 ben iphone : it’s very hard to understand.
228 00:21:25.390 ⇒ 00:21:28.890 ben iphone : you know, like my dad has a plumbing company.
229 00:21:29.280 ⇒ 00:21:30.820 ben iphone : He’s a multimillionaire
230 00:21:30.900 ⇒ 00:21:33.169 ben iphone : multimillionaire you know he was.
231 00:21:33.800 ⇒ 00:21:38.649 ben iphone : There’s just like you were saying with the with the trade school. There’s a huge shortage, and if, like you take that.
232 00:21:38.650 ⇒ 00:21:39.839 Uttam Kumaran: Food, shortage.
233 00:21:39.840 ⇒ 00:21:43.949 ben iphone : If you take blue collar work seriously, you can make so much fucking money.
234 00:21:43.950 ⇒ 00:21:44.650 Uttam Kumaran: Yeah.
235 00:21:45.810 ⇒ 00:22:05.629 Uttam Kumaran: I just, I just think there’s like a but like, there’s just a cultural issue. That’s the thing that’s like tough. And in immigrant families. It’s the worst cause they’re gonna be like you have to go to. If you didn’t go to college and you go to like the family function they’re gonna be like, oh, your kid is like dying. What is going on, kid? So the parents have like this like
236 00:22:05.900 ⇒ 00:22:20.969 Uttam Kumaran: ego. And then my parents are pretty chill, and they were like, Do whatever you want. My dad was, in fact, was like, Go go out of California and go study on the East coast like. Don’t stay in California with everybody here, cause you’re gonna see they’re just all gonna stay here and not do anything.
237 00:22:21.010 ⇒ 00:22:23.676 Uttam Kumaran: So I’m really thankful for him. But
238 00:22:24.360 ⇒ 00:22:27.400 Uttam Kumaran: I it’s just tough cause, I think now
239 00:22:27.540 ⇒ 00:22:32.822 Uttam Kumaran: the tides are turning mainly because the cost, like the cost, is so much
240 00:22:33.560 ⇒ 00:22:45.670 Uttam Kumaran: I I think the trade schools and things are so great. I mean, even here in Austin you have a lot of people that work directly for Amazon and stuff like that. But I’m like, guys, you can just easily go 2 years
241 00:22:45.770 ⇒ 00:22:51.350 Uttam Kumaran: or like, instead of doing Doordash like, go to 2 years, learn how to weld, and you’re gonna make like a hundred grand like.
242 00:22:51.350 ⇒ 00:22:52.630 ben iphone : Yeah, no, it’s okay.
243 00:22:52.630 ⇒ 00:22:53.930 Uttam Kumaran: Often obvious.
244 00:22:53.930 ⇒ 00:22:55.669 ben iphone : It’s such a no brainer, it.
245 00:22:55.670 ⇒ 00:22:56.030 Uttam Kumaran: Yeah.
246 00:22:56.390 ⇒ 00:22:59.459 ben iphone : Me. It seems my my son is really good at Legos.
247 00:23:00.005 ⇒ 00:23:11.084 ben iphone : Like. It seems clear that he’ll probably have, like some handy skills like that. I don’t have like. I would totally support him doing anything. Blue Collar.
248 00:23:11.480 ⇒ 00:23:11.830 Uttam Kumaran: Yeah.
249 00:23:11.830 ⇒ 00:23:18.700 ben iphone : You know, and I could like help mentor him into the business side of things, you know, but like he seems like he’s like a maker. So
250 00:23:18.940 ⇒ 00:23:20.230 ben iphone : you need to.
251 00:23:20.560 ⇒ 00:23:23.430 ben iphone : I just don’t wanna ruin the kids with school. I just feel like schools guys.
252 00:23:23.430 ⇒ 00:23:32.110 Uttam Kumaran: No, I think it’s really did for me to. I mean, I I was similar to that, like I even growing up. I’m like we get a new TV. I’m like, I’m gonna set everything up.
253 00:23:32.180 ⇒ 00:23:38.856 Uttam Kumaran: We get new furniture or whatever like I build everything. And I. So I mean, that’s what I kind of do for my job now. But
254 00:23:39.440 ⇒ 00:23:48.679 Uttam Kumaran: yeah, there was a period in time where I couldn’t, because I don’t have time to do that sort of stuff. And instead, I just like didn’t sleep. And I worked on projects outside of school.
255 00:23:50.230 ⇒ 00:24:06.560 Uttam Kumaran: and yeah, it was a little bit. It’s tough looking back to kind of be like what worked, but didn’t. But now things are. I think things are changing to the cost is incredible. I even tell my dad I’m like, I don’t know how you like. I’m so thankful, but I’m like.
256 00:24:06.920 ⇒ 00:24:09.665 Uttam Kumaran: I don’t know that’s so much money.
257 00:24:10.450 ⇒ 00:24:11.360 ben iphone : Crazy.
258 00:24:11.360 ⇒ 00:24:12.380 Uttam Kumaran: Yeah.
259 00:24:13.840 ⇒ 00:24:16.683 ben iphone : Alright. Well, I think we’ve got through enough stuff for today.
260 00:24:17.200 ⇒ 00:24:21.300 Uttam Kumaran: I just have one more shiny thing to show
261 00:24:22.861 ⇒ 00:24:25.950 Uttam Kumaran: So we I’ve been using this tool
262 00:24:26.872 ⇒ 00:24:40.600 Uttam Kumaran: called real and I’ve been using it for analysis. Just like for y’all real. Is this like really nice tool, where it’s basically kind of like an operational dashboard where you can basically like
263 00:24:40.660 ⇒ 00:24:42.479 Uttam Kumaran: you can click and
264 00:24:42.510 ⇒ 00:24:47.630 Uttam Kumaran: has like immediate filters and like feedback. So this is like our all orders.
265 00:24:47.945 ⇒ 00:24:50.229 Uttam Kumaran: Table. I’m basically just gonna do the last
266 00:24:50.350 ⇒ 00:24:51.790 Uttam Kumaran: like 3 months.
267 00:24:52.270 ⇒ 00:24:53.030 ben iphone : It was great.
268 00:24:53.030 ⇒ 00:24:58.850 Uttam Kumaran: The nice thing you can see here is you can say cool. I wanna ask a question. I wanna say, like on shopify.
269 00:24:59.030 ⇒ 00:25:06.110 Uttam Kumaran: I wanna say, like, what’s the top city we’re selling to cool like humble. Okay, northeast is the top. Okay? Let’s just focus on like
270 00:25:06.170 ⇒ 00:25:07.540 Uttam Kumaran: the West coast.
271 00:25:07.780 ⇒ 00:25:12.110 Uttam Kumaran: What’s the like top zip code for the West Coast
272 00:25:12.530 ⇒ 00:25:16.630 Uttam Kumaran: where? Who? We already spend the most amount on shipping.
273 00:25:17.271 ⇒ 00:25:20.039 Uttam Kumaran: What’s the highest like? Refund reason.
274 00:25:20.040 ⇒ 00:25:21.599 ben iphone : Dan will love this.
275 00:25:22.040 ⇒ 00:25:23.060 Uttam Kumaran: So
276 00:25:23.130 ⇒ 00:25:24.739 Uttam Kumaran: this is actually like
277 00:25:24.920 ⇒ 00:25:31.510 Uttam Kumaran: we implemented light dash. But this is like a new tool that I’ve been like talking to this team about, and we’ve implemented for somebody else.
278 00:25:31.510 ⇒ 00:25:34.519 ben iphone : I have a feeling this I have a feeling this might work better for us.
279 00:25:34.740 ⇒ 00:25:38.610 Uttam Kumaran: Yeah. So I wanted to show you first, because there’s a lot going on here.
280 00:25:39.238 ⇒ 00:25:42.350 Uttam Kumaran: But it’s so nice to like
281 00:25:42.590 ⇒ 00:25:44.550 Uttam Kumaran: quickly, click
282 00:25:44.997 ⇒ 00:26:00.450 Uttam Kumaran: and be like cool. I wanna focus on I think there’s city somewhere here like, let’s just look at like Vermont. You can quickly say, Okay, what’s the top city in Vermont? And the filters really are sna like snappy and.
283 00:26:00.690 ⇒ 00:26:04.290 ben iphone : I can see it, I mean, even if through a screen share, they’re they’re snappy.
284 00:26:04.290 ⇒ 00:26:25.210 Uttam Kumaran: Yeah. And so it’s, it’s relying on this fairly new technology in the past, like year and a half this new database technology. But I’ve been speaking with these guys, and their team is really good, and the product is super nice in here. We’ve also loaded like the Zendesk tickets. So again, this is like, basically.
285 00:26:25.654 ⇒ 00:26:30.529 Uttam Kumaran: this is just the last 4 weeks. We can see all the tickets, all the replies.
286 00:26:30.874 ⇒ 00:26:52.240 Uttam Kumaran: where the tickets are going the types of tickets. So couple of things one, the the development time is actually a lot lower on this compared to light dash, because on light dash we’re like dragging and dropping things here. You kind of get this stuff out of the box. You can do like pivot tables, too, so you can see like cool. I want to see
287 00:26:52.754 ⇒ 00:26:57.400 Uttam Kumaran: this by like status, and you’ll get like pivot tables.
288 00:26:58.050 ⇒ 00:27:08.880 Uttam Kumaran: They’re adding like bar charts and and and things like that. But the really the meat of it is this like explore Page, where you can just log in. It’s kind of like an operational home.
289 00:27:09.970 ⇒ 00:27:11.220 Uttam Kumaran: So
290 00:27:11.420 ⇒ 00:27:16.909 Uttam Kumaran: I don’t know. I was gonna kind of like, see if you wanted to play around for a bit. And I was gonna get
291 00:27:17.060 ⇒ 00:27:20.087 Uttam Kumaran: your feedback and see like what you think. If it’s.
292 00:27:20.390 ⇒ 00:27:22.820 ben iphone : I mean, this is this. This looks to me
293 00:27:23.190 ⇒ 00:27:24.260 ben iphone : incredible.
294 00:27:25.460 ⇒ 00:27:30.120 ben iphone : incredible. I think the thing is is, I’m not paralyzed by data
295 00:27:30.800 ⇒ 00:27:32.119 ben iphone : like being
296 00:27:32.750 ⇒ 00:27:35.730 ben iphone : displayed in different ways. Dan is so
297 00:27:36.890 ⇒ 00:27:43.470 ben iphone : I know he’s interested in getting all this kind of information like random things hit his brain, and he’s curious about it, and
298 00:27:43.490 ⇒ 00:27:46.639 ben iphone : I don’t really have. I don’t. I have a way different.
299 00:27:47.100 ⇒ 00:27:47.430 Uttam Kumaran: Okay.
300 00:27:47.430 ⇒ 00:27:53.220 ben iphone : I feel thing. So for me this looks like a lot of fun. I think he would really like this, but I feel like
301 00:27:53.600 ⇒ 00:27:57.399 ben iphone : it’s hit or miss, whether like it’s like easy for him or hard for him.
302 00:27:57.550 ⇒ 00:28:01.730 ben iphone : We should just make a meeting and let them play with it live with us, but
303 00:28:02.410 ⇒ 00:28:05.750 ben iphone : this looks a lot better than light dash. I mean, it’s not even close.
304 00:28:06.160 ⇒ 00:28:27.139 Uttam Kumaran: Yeah, it looks a lot better. And I don’t know I’m I’m in my head. I’m creating like, kind of an architecture for different visualizations like the product I showed you before. Really good for analysis. This is really good for, like, okay, I have like 10 questions I need to ask like, and you kinda look like, Wow, I didn’t know we could look at like the shipment and the zones, and
305 00:28:27.630 ⇒ 00:28:29.070 Uttam Kumaran: you know quickly, be like.
306 00:28:29.070 ⇒ 00:28:37.490 ben iphone : This is, this is good stuff, I mean, when we like, have meetings like a lot of like random, snappy questions come up and like. I just don’t know how to get the information quickly.
307 00:28:38.010 ⇒ 00:28:41.279 ben iphone : This looks like it can do that. So I love it.
308 00:28:41.810 ⇒ 00:28:50.689 Uttam Kumaran: Okay, so let’s in that whenever if you can poke Dan, and then we’ll get and get a meeting, and then I’ll kind of like. Make sure kind of.
309 00:28:51.000 ⇒ 00:29:02.889 ben iphone : I email, I replied to your email like, 25 min ago, when we got on the phone, your your CC, so we can just push him to do that, and then we can loop. We can. We can make a meeting, and then we’ll figure it out.
310 00:29:03.420 ⇒ 00:29:04.590 Uttam Kumaran: I wanna see if
311 00:29:04.650 ⇒ 00:29:12.959 Uttam Kumaran: okay, I wanna see of those changes. And then because that is like a little bit more of like, if you have a dashboard where you know the structure. But
312 00:29:13.060 ⇒ 00:29:16.780 Uttam Kumaran: this is also pretty good, for, like everything. And
313 00:29:17.190 ⇒ 00:29:27.609 Uttam Kumaran: I I’ve just in the past like 3 months been meeting with this team and learning more about the product and like testing it kind of behind the scenes. Because we’re running this for free right now, just locally
314 00:29:29.140 ⇒ 00:29:34.232 Uttam Kumaran: But it’s kind of like, it’s really really nice, like, I think these guys are gonna blow up
315 00:29:35.190 ⇒ 00:29:36.410 Uttam Kumaran: But okay.
316 00:29:37.346 ⇒ 00:29:38.593 Uttam Kumaran: so I think.
317 00:29:39.090 ⇒ 00:29:47.440 Uttam Kumaran: I’ll get try to get on the phone, Cody. There’s the stuff for shipping that we’re kind of working through, and then the dashboards. I think we’ll we’ll also get a meeting scheduled.
318 00:29:47.980 ⇒ 00:29:53.309 ben iphone : Sounds good. Yeah. Just make a slack group. Me, you Cody, that’ll be the just keep. Keep stuff in there.
319 00:29:53.540 ⇒ 00:29:54.346 Uttam Kumaran: Okay. Okay.
320 00:29:54.750 ⇒ 00:29:55.980 ben iphone : Alrighty! See ya.
321 00:29:55.980 ⇒ 00:29:58.179 Uttam Kumaran: Alright, thanks, man! Bye.