Meeting Title: Connor’s First Day Date: 2024-12-30 Meeting participants: Robert Tseng, Uttam Kumaran, Connor Fenn
WEBVTT
1 00:01:16.840 ⇒ 00:01:17.880 Connor Fenn: Hey! Hey!
2 00:01:26.330 ⇒ 00:01:27.250 Uttam Kumaran: Hey, dude?
3 00:01:28.490 ⇒ 00:01:32.779 Uttam Kumaran: Oh, I need to get up and get some food. I have not stood up a while.
4 00:01:33.870 ⇒ 00:01:34.860 Connor Fenn: I’m sorry. What.
5 00:01:35.150 ⇒ 00:01:39.299 Uttam Kumaran: But I need to get some food. Sorry I’m gonna be off from Video. I’m getting very hungry.
6 00:01:39.630 ⇒ 00:01:40.990 Uttam Kumaran: Oh, no, you’re good.
7 00:01:46.490 ⇒ 00:01:48.879 Uttam Kumaran: Yeah. How are the conversations with everybody.
8 00:01:50.950 ⇒ 00:01:54.339 Connor Fenn: They were good. It was just kind of like, you know, the big.
9 00:01:54.340 ⇒ 00:02:02.218 Uttam Kumaran: It’s all. It’s all engineer. It’s all engineers. And then I guess Ryan’s on the content side. But people aren’t. Some people aren’t like so talkative. So.
10 00:02:02.670 ⇒ 00:02:05.102 Connor Fenn: Yeah, I would say,
11 00:02:07.030 ⇒ 00:02:11.640 Connor Fenn: Luke was definitely like the most talkative.
12 00:02:11.640 ⇒ 00:02:12.149 Uttam Kumaran: Okay.
13 00:02:12.660 ⇒ 00:02:14.900 Connor Fenn: And then team.
14 00:02:15.290 ⇒ 00:02:15.680 Uttam Kumaran: Right.
15 00:02:16.700 ⇒ 00:02:20.240 Connor Fenn: Ryan Miguel were more just like
16 00:02:22.091 ⇒ 00:02:26.330 Connor Fenn: responsive. But it was either really help really helpful.
17 00:02:26.330 ⇒ 00:02:27.060 Uttam Kumaran: Okay, okay, got it.
18 00:02:27.060 ⇒ 00:02:30.340 Connor Fenn: I assume to take time. It’s just like with anything you know.
19 00:02:30.530 ⇒ 00:02:32.509 Uttam Kumaran: Yeah, yeah, they’re all like
20 00:02:33.490 ⇒ 00:02:44.522 Uttam Kumaran: amazing people, like, literally the nicest people, and Miguel especially. Oh, I remember the game, he said. He’s been playing marvel like whatever the new marvel game is. Marvel
21 00:02:45.880 ⇒ 00:02:49.079 Uttam Kumaran: like this, like starcraft type, marvel game that they made.
22 00:02:49.370 ⇒ 00:02:53.899 Connor Fenn: Luke looks super young, and then he has 2 kids, which was crazy to me.
23 00:02:53.900 ⇒ 00:02:56.199 Uttam Kumaran: I know, I know, I know.
24 00:02:58.290 ⇒ 00:02:59.030 Connor Fenn: Hey, Robert.
25 00:02:59.870 ⇒ 00:03:00.710 Robert Tseng: Hey, guys.
26 00:03:01.120 ⇒ 00:03:01.910 Uttam Kumaran: Hey?
27 00:03:06.649 ⇒ 00:03:34.089 Uttam Kumaran: Cool. So yeah, I guess this meeting was really just to get, you know, the 3 of us together, and kind of probably, Connor just give you, you know, a little bit of open floor to talk about stuff and answer any questions. I think for me, the big outcomes of this meeting is one. The only sort of sales focused call we have every week is the sales leads meeting. Otherwise, I think, probably, like me and Robert just kind of chat ad hoc.
28 00:03:34.220 ⇒ 00:03:39.230 Uttam Kumaran: or in other meetings about sales, but it’s probably best for us to figure out like a cadence
29 00:03:39.460 ⇒ 00:04:06.359 Uttam Kumaran: that works for everyone. I think that you know, the biggest things that we wanna always be talking about is one like leads in progress. Second, is like folks up for renewal. And then also, I think, lastly, we wanna also talk about like just the sales process in general and strategy. So I think that that’s kind of encompasses, you know most of our conversations. I do want to give you
30 00:04:06.470 ⇒ 00:04:13.090 Uttam Kumaran: basically as much time as you need with with me or Robert to kind of just ask questions about
31 00:04:13.522 ⇒ 00:04:29.230 Uttam Kumaran: you know our process, but also about what we’re selling. I think you know the data and the AI like nitty gritty will come over time, but definitely want to throw as much at you about sort of how we sell and how we think about the services we sell and packaging
32 00:04:29.736 ⇒ 00:04:49.200 Uttam Kumaran: again, I think it’s a lot of it’s gonna take time. But I’ve included you on that. And then also, I’m gonna include you on our. We have a meeting on Thursdays where we’re gonna we review every client, every active client. And I’ll include you there as well. So you can see sort of what the actual like fulfillment of the work looks like.
33 00:04:49.761 ⇒ 00:04:57.958 Uttam Kumaran: But yeah, those are really like sort of my outcomes for this conversation, but I’ll kind of maybe kick it back to you or
34 00:04:58.410 ⇒ 00:05:01.159 Uttam Kumaran: We can kind of take this wherever we want to.
35 00:05:02.810 ⇒ 00:05:06.729 Connor Fenn: Yeah, I mean, that works for me. I’ve I
36 00:05:07.060 ⇒ 00:05:13.349 Connor Fenn: kind of just been trying to put together my own kind of like.
37 00:05:15.282 ⇒ 00:05:20.900 Connor Fenn: I guess, like layers of how the
38 00:05:21.170 ⇒ 00:05:25.440 Connor Fenn: services all like fit together. That’s what I’ve been doing.
39 00:05:27.060 ⇒ 00:05:33.089 Connor Fenn: We can kinda go into like that. I can go into that I put together some
40 00:05:34.261 ⇒ 00:05:37.370 Connor Fenn: just initial weeds that I
41 00:05:37.550 ⇒ 00:05:40.529 Connor Fenn: just like thought top of mind. We could talk about that. And then.
42 00:05:40.530 ⇒ 00:05:47.390 Uttam Kumaran: Yeah, let’s let’s do both. I think I think that’s really helpful, I think. Let’s go through services 1st and then hopefully, with that.
43 00:05:47.490 ⇒ 00:05:50.520 Uttam Kumaran: with any questions or that lens. We can talk about
44 00:05:50.875 ⇒ 00:05:59.799 Uttam Kumaran: some of the leads that you have, since you have probably context about their business, and then we can talk about like, okay, how would we attack that? And I think that that makes sense.
45 00:05:59.960 ⇒ 00:06:17.169 Connor Fenn: Okay? And then the last little piece that’s been like top of mind is Robert. I know you’ve been doing most of like the more sales strategy. And so maybe not this week, just because of the holiday and things like that. But maybe next week, if we could put together some kind of call where
46 00:06:17.650 ⇒ 00:06:27.279 Connor Fenn: you and I kind of just like role play like how you’ve been going about these meetings and your kind of talk track. I think that would be really helpful for me to kind of just get
47 00:06:27.730 ⇒ 00:06:30.710 Connor Fenn: kind of general outline of like how you
48 00:06:31.020 ⇒ 00:06:37.160 Connor Fenn: kind of pick at our these potential clients and understand, like how we can help them.
49 00:06:37.400 ⇒ 00:06:38.340 Connor Fenn: If you’re open.
50 00:06:38.340 ⇒ 00:06:44.180 Robert Tseng: Yeah, sure. And we definitely like as we get calls on, we should have you like schedule. We should have you shadow those calls.
51 00:06:45.650 ⇒ 00:06:46.150 Robert Tseng: Yeah.
52 00:06:46.500 ⇒ 00:06:47.250 Uttam Kumaran: Okay, perfect.
53 00:06:47.250 ⇒ 00:06:50.516 Uttam Kumaran: The other thing I was thinking about doing, Robert was, I was thinking about
54 00:06:51.020 ⇒ 00:07:02.869 Uttam Kumaran: maybe just like sometimes it’s tough when you. It’s like, I don’t want to. CC, like 50 people on an email. But I may. I may just CC sales at Brainforge. And then I’ll add, you guys to that group.
55 00:07:02.870 ⇒ 00:07:03.620 Robert Tseng: Yeah, I think that.
56 00:07:03.865 ⇒ 00:07:13.949 Uttam Kumaran: I feel like that’s like people won’t be too like they’ll be like, Oh, it’s sick, or whatever and then that way the 3 of us can get all those emails. So I’ll I’ll take care of that later. Today.
57 00:07:14.420 ⇒ 00:07:15.190 Connor Fenn: Okay.
58 00:07:16.830 ⇒ 00:07:26.550 Connor Fenn: so as far as like what I’ve been doing so far, utam, I kind of just took those initial handful of things you told me to research.
59 00:07:27.260 ⇒ 00:07:30.230 Connor Fenn: What I’ve kind of been doing is just putting them
60 00:07:30.440 ⇒ 00:07:38.220 Connor Fenn: in my own version of like a data stack, just to like understand them. And so I just wanna make sure like.
61 00:07:38.410 ⇒ 00:07:40.910 Connor Fenn: I’m understanding this right? Just.
62 00:07:40.910 ⇒ 00:07:41.490 Uttam Kumaran: Check.
63 00:07:41.750 ⇒ 00:07:43.090 Connor Fenn: So I know.
64 00:07:43.340 ⇒ 00:07:48.079 Connor Fenn: So from my understanding, like, regardless of like what we’re trying to sell them
65 00:07:48.470 ⇒ 00:07:56.279 Connor Fenn: or like whatever the actual solution is, we’re taking clients, information and kind of using 5 tran to
66 00:07:56.430 ⇒ 00:08:04.060 Connor Fenn: extract all of that data that then goes into Snowflake, which is like the warehouse that we keep it all in.
67 00:08:04.600 ⇒ 00:08:17.740 Connor Fenn: And then from there we’re using the data tool build to kind of like, organize it within snowflake to make it more accessible for mix panel and amplitude which are more
68 00:08:18.730 ⇒ 00:08:28.140 Connor Fenn: capabilities that allow to take that data and make it into dashboards or formatting. That’s more appealing and understanding to the client. Is that correct or no.
69 00:08:29.060 ⇒ 00:08:47.560 Uttam Kumaran: Yeah, I mean dude. That’s pretty good, I would say, for a 1st go at that. Not bad. Yeah. I mean, you’re basically right. You know, the the whole process is basically moving data from source systems into an area that consolidates it. And it can all be easy, accessible through
70 00:08:47.680 ⇒ 00:08:52.759 Uttam Kumaran: like SQL, which is the sort of language to kind of query databases
71 00:08:53.240 ⇒ 00:09:10.790 Uttam Kumaran: in the data. In the data warehouse itself. Almost you can think of it as like adjacent. We want to build data models, data models, data models. Take the raw data, combine it, clean it up and cleaning up. Really meaning like, you may want to create. For example, common thing is like.
72 00:09:10.820 ⇒ 00:09:30.650 Uttam Kumaran: I have a 1st name column and last name column. I want to create a column that’s just name that combines them. That’s logic like that’s calculation that needs to happen. You can. That’s a very, very simple example. You can sort of multiply that out to all sorts of stuff. But that needs to happen. And and also that needs to be orchestrated
73 00:09:30.650 ⇒ 00:09:48.479 Uttam Kumaran: meaning when new data comes in, like when new names come in, those need to be combined right? And so that process of that running, and like the new model getting created that all happens in the warehouse. Dbt is the framework we use to basically
74 00:09:48.480 ⇒ 00:10:00.960 Uttam Kumaran: keep all of our code in one place and helps us understand when we run a model, what are the downstream implications. Right? Because it’s all has these. All these have dependencies. So you’re
75 00:10:00.960 ⇒ 00:10:23.410 Uttam Kumaran: your sales model needs to pull from your customers. Your customers may need to pull from, you know, another table, and you don’t want them to all run in all sorts of different orders, because you may not have all the most up to date data. So one of the things that Dbt helps us do is run those in order as things need data from different tables. Again, think about tables is just like spreadsheets and excel
76 00:10:23.707 ⇒ 00:10:33.229 Uttam Kumaran: on steroids. Basically. So you have joins and lookups and all that sort of index matches, all of that just sort of like. Think about it in like that sort of sense.
77 00:10:33.230 ⇒ 00:10:41.759 Connor Fenn: And just to understand this critical like, none of this is something you have to continuously go in. Dbt is kind of like automated
78 00:10:42.170 ⇒ 00:10:45.919 Connor Fenn: continuously, or, however you have it set up anyway.
79 00:10:46.100 ⇒ 00:11:00.250 Uttam Kumaran: Yeah. So the logic is something that is manual meaning. We have to write that logic, for example, knowing that you need they needed 1st name, last name, and they want to combine into a new column. That’s something that we have to go right.
80 00:11:00.260 ⇒ 00:11:16.889 Uttam Kumaran: What’s automated is the actual like, hey, we? We need this to run every night at like 8 Pm. That’s automated. But everything else is fairly manual, meaning like a job runs and kicks off the workflow at a certain time. But what’s in the workflow is something that we
81 00:11:17.240 ⇒ 00:11:18.789 Uttam Kumaran: we write the code for.
82 00:11:19.040 ⇒ 00:11:20.360 Connor Fenn: Gotcha. Okay?
83 00:11:20.860 ⇒ 00:11:21.440 Connor Fenn: And what.
84 00:11:21.860 ⇒ 00:11:22.280 Uttam Kumaran: Yeah.
85 00:11:22.280 ⇒ 00:11:25.729 Connor Fenn: Are these sales calls really getting that technical.
86 00:11:25.730 ⇒ 00:11:26.530 Uttam Kumaran: No, no.
87 00:11:26.550 ⇒ 00:11:28.619 Connor Fenn: Oh, okay, I’m just okay. Just make sure.
88 00:11:28.620 ⇒ 00:11:35.029 Uttam Kumaran: But I’m I mean I’m happy that I I’m I mean, like it’s easy for me to answer. But and maybe Robert can give you a sense, too, because
89 00:11:35.060 ⇒ 00:11:58.780 Uttam Kumaran: but I rarely does it get this technical? I think we have some stakeholders that know what they’re talking about, and some stakeholders that don’t know they’re talking about. Most people just want to know whether we know what we’re talking about, but that may. They may hear me talk. For example, they may hear me break down how Dbt works. And then they’re like, Okay, this guy knows what he’s talking about. They may also
90 00:11:58.930 ⇒ 00:12:15.380 Uttam Kumaran: break. Hear me break down with Dvt works, and they’re like, I don’t know anything. But this guy seems to know, like, I don’t know. I think that’s usually the angles, like some people like we work with. They’re like they’ve done it before, and they’re just looking for someone to help them. So they they talk to me for like
91 00:12:15.500 ⇒ 00:12:24.296 Uttam Kumaran: couple of minutes. They’re like, Okay, I kind of say, the jargon and I talk about. We’ve done it before. They’re pretty good with it. Some people have no idea.
92 00:12:24.700 ⇒ 00:12:34.409 Uttam Kumaran: and then, you know, we, I break down these sort of complicated things that are like, Oh, cool. Okay. You guys know what you’re doing so. That’s usually one of one of those 2 ways. I feel like.
93 00:12:35.850 ⇒ 00:12:47.140 Connor Fenn: Okay, that makes sense. And then I’m I’m just like cross referencing, like what I wrote out with, just like the little services table we have in notion. And so those are pretty much
94 00:12:47.850 ⇒ 00:12:49.730 Connor Fenn: that covers
95 00:12:49.970 ⇒ 00:13:09.239 Connor Fenn: pretty much all of the product analytics and strategy. And then the data engineering like main buckets that these kind of include that. And then, like the internal automations and AI like those are all kind of one off kind of things.
96 00:13:09.460 ⇒ 00:13:35.000 Uttam Kumaran: So. Yeah, so I guess the one thing that you know, I think we’re in this whole process as you onboard. I think one thing that I talked to Robert this morning about is, I think it’s probably best to focus initially on just data. One, the data stuff is stuff that you know, both of us have been doing, and we’re kind of like started the company on. So it’s a lot more standardized on the AI side. There’s a lot of like
97 00:13:35.490 ⇒ 00:13:43.509 Uttam Kumaran: sort of like things to get figured out. I don’t wanna say that like we shouldn’t sell.
98 00:13:43.800 ⇒ 00:13:45.020 Uttam Kumaran: Yeah, go go ahead.
99 00:13:45.230 ⇒ 00:13:56.519 Connor Fenn: Yeah, maybe it’s like, just something you mentioned. And with the data and and data side of things is like, Hey, we’re also doing all these like AI things. But you know it’s new to us. So we’re open to.
100 00:13:56.520 ⇒ 00:14:02.680 Uttam Kumaran: No, no, no, not even not even like not even that. What I’m saying is for you to sort of get on boarded.
101 00:14:02.680 ⇒ 00:14:03.250 Connor Fenn: Oh, right!
102 00:14:03.250 ⇒ 00:14:09.250 Uttam Kumaran: Start taking on stuff. I would leave the AI stuff. Second, because
103 00:14:10.910 ⇒ 00:14:20.650 Uttam Kumaran: I mean, because it’s it’s it’s a lot less well defined as the data stuff is. And the majority of our business is on the data side. So
104 00:14:21.030 ⇒ 00:14:41.669 Uttam Kumaran: yeah, I think I think we’re gonna get, I think it’s more of this order of operations. I think, focus on nailing the data stuff first.st And then we’re basically gonna create all the services around AI, it’s just a lot more stuff to get ironed out there. It’s not, and we haven’t done nearly as many deals on the AI side. So
105 00:14:42.100 ⇒ 00:14:46.919 Uttam Kumaran: it’s probably best to just nail the data 1st and then pick up the AI stuff.
106 00:14:48.520 ⇒ 00:14:55.449 Uttam Kumaran: but and then, in terms of, for customers look most of our customers at the moment that come to us for data stuff are not
107 00:14:56.060 ⇒ 00:14:58.780 Uttam Kumaran: are not interested. They’re not like also
108 00:14:59.060 ⇒ 00:15:12.740 Uttam Kumaran: buying AI stuff at the side. Our prediction, though, is that they need it right? And so it’s probably more valuable about the cross sell when we do renewals. However, there are people that we’re selling just AI to that don’t come to us to buy data
109 00:15:12.920 ⇒ 00:15:21.859 Uttam Kumaran: right? And so we’re gonna have these sort of mix of people right now, the the healthiest sort of stream of leads that we have is on the data side, though.
110 00:15:22.090 ⇒ 00:15:28.849 Uttam Kumaran: where where it’s like a lot of the companies I mentioned today that we’re talking about AI stuff with, they’re all kind of like.
111 00:15:29.480 ⇒ 00:15:38.270 Uttam Kumaran: wishy washy, like, it’s just not as structured as the data stuff is. For example, on the data side, we’re basically gonna have like
112 00:15:38.370 ⇒ 00:15:49.160 Uttam Kumaran: packages like at 15 k, at 25 K, and then we’re gonna offer like a 5 k audit and strategy. And so that’s really well defined on what we’re selling and what we’re not selling.
113 00:15:49.500 ⇒ 00:15:50.020 Connor Fenn: Okay.
114 00:15:51.290 ⇒ 00:15:52.520 Uttam Kumaran: Does that make sense.
115 00:15:52.760 ⇒ 00:15:57.080 Connor Fenn: Yeah, it does. And are those those are like, somewhat built out.
116 00:15:57.370 ⇒ 00:16:05.490 Uttam Kumaran: Yes, we just had like a conversation this morning sort of finalizing a couple of pieces, and then I’m going to be updating the notion to put that in
117 00:16:06.024 ⇒ 00:16:24.700 Uttam Kumaran: but basically, we sort of agreed on. Okay, we’re gonna have we’re basically gonna have like 3 sort of primary offerings. We’re gonna offer either strategy and audit. We’re gonna offer a 15 K data side data package and a 25 K
118 00:16:24.810 ⇒ 00:16:27.419 Uttam Kumaran: sort of what what those include.
119 00:16:27.420 ⇒ 00:16:29.170 Connor Fenn: Per month, or total sorry.
120 00:16:29.170 ⇒ 00:16:29.910 Uttam Kumaran: Per month.
121 00:16:29.910 ⇒ 00:16:30.590 Connor Fenn: Okay.
122 00:16:31.130 ⇒ 00:16:52.180 Uttam Kumaran: So what those include in terms of from the. If I was to talk from the financial angle 25 K. And 15 K. Allow me to break down. Okay, how much time from a data analyst or an analytics engineer do we need? And can they attribute to that project from the client side. Every client we do is gonna have some sort of strategy and planning component.
123 00:16:52.180 ⇒ 00:17:05.990 Uttam Kumaran: so that we get to understand what their needs are. And then basically start to build a timeline for the project. So one thing that we kind of decided towards today is we’re not. Gonna we’re gonna try to avoid projects where
124 00:17:06.000 ⇒ 00:17:08.670 Uttam Kumaran: we don’t come and do any strategy, because
125 00:17:08.950 ⇒ 00:17:28.809 Uttam Kumaran: for us to know that the implementation is going to be successful, and for me to be able to tell them. Hey, for 15 K. Given the time for my engineers. Here’s the timeline of things that you can expect. There’s has to be some sort of like, at least like a 2 week planning period where we put all that together. That being said, we can also sell strategy
126 00:17:29.120 ⇒ 00:17:55.739 Uttam Kumaran: on its own right. And here’s kind of like I’ll kind of rehash a little bit of what we talked about is we have some clients that when they hear 15 K. 25 K. They’re like shit. I don’t know about biting all of that off at one moment, or they’re like, Hey, I kind of don’t know what I don’t know at this point. And some people they’re like more interested in us just coming in and like poking around in that situation. We’re gonna promote. We’re gonna we’re gonna sell what we what we call strategy or
127 00:17:55.840 ⇒ 00:18:13.289 Uttam Kumaran: an audit process strategy. Broadly, we have clients that are like, Hey, I just need help about my entire sort of data strategy. I don’t know exactly what where we have like 5 areas we’re focused on. That may be like a 2 week project where it’s like me or Robert basically work with them to to talk to their
128 00:18:13.400 ⇒ 00:18:35.959 Uttam Kumaran: talk to their staff, figure out like sort of what are the key milestones they want. Before any sort of pen to paper. On the engineering side, within product analytics, you should see that there is a. There is an audit package that is like a Robert has been running these 3 k audits for clients where it’s about 5 or 10 h of work we come in. And this is specific to clients that we’re selling product analytics to.
129 00:18:36.140 ⇒ 00:18:43.980 Uttam Kumaran: So almost our our thing is like we have a higher level strategy offering. If you know that, hey, I want product analytics.
130 00:18:44.140 ⇒ 00:18:48.980 Uttam Kumaran: then we have a product analytics audit that you that every client has to go through
131 00:18:49.501 ⇒ 00:18:55.259 Uttam Kumaran: that we price individually, or we or we bundle in to our larger package.
132 00:18:55.420 ⇒ 00:19:02.330 Uttam Kumaran: I’m throwing a lot. Yeah, I’m throwing a lot out there. So don’t don’t worry about like picking everything up, but like that’s sort of the gist.
133 00:19:02.630 ⇒ 00:19:08.859 Connor Fenn: Okay. And that’s that’s a part of all the stuff that you’re gonna bring into notion later on.
134 00:19:08.860 ⇒ 00:19:24.550 Uttam Kumaran: Yeah. So this week we should have the audit process for product analytics all in notion. And the Comp. The company art helper. We will be running that with them. Probably starting next week. So I’ll you’ll be looped in on like.
135 00:19:25.170 ⇒ 00:19:30.610 Uttam Kumaran: basically, you’ll get to watch one of those happen? You know, and get a sense for that. Yeah.
136 00:19:30.940 ⇒ 00:19:31.900 Connor Fenn: Okay, cool.
137 00:19:32.680 ⇒ 00:19:42.729 Connor Fenn: alright that that works. And I guess for me at this point I just need to kind of wait for those. So I can really understand the specific things I’m selling.
138 00:19:42.980 ⇒ 00:19:43.660 Uttam Kumaran: Okay.
139 00:19:43.850 ⇒ 00:19:49.260 Connor Fenn: That that will just like, just help me. I’m gonna continue to try to learn through each of these like
140 00:19:50.310 ⇒ 00:19:57.250 Connor Fenn: things that you’ve talked about and go through and understand them that way. But once I have, like the actual
141 00:19:57.550 ⇒ 00:20:03.080 Connor Fenn: kind of like outline of the specific thing I’m selling, that’s gonna be really helpful.
142 00:20:03.080 ⇒ 00:20:03.730 Uttam Kumaran: Okay.
143 00:20:04.090 ⇒ 00:20:04.820 Uttam Kumaran: Okay.
144 00:20:07.010 ⇒ 00:20:09.640 Connor Fenn: But cool. Yeah, I can show you.
145 00:20:10.130 ⇒ 00:20:12.979 Connor Fenn: Jim, would it be easier to share my screen? Or you guys.
146 00:20:12.980 ⇒ 00:20:13.989 Uttam Kumaran: Yeah, yeah, sure.
147 00:20:26.970 ⇒ 00:20:29.160 Connor Fenn: Which screens can you see right now.
148 00:20:30.760 ⇒ 00:20:32.360 Uttam Kumaran: Just yeah.
149 00:20:32.802 ⇒ 00:20:34.570 Robert Tseng: Yeah, it’s a notion.
150 00:20:37.570 ⇒ 00:20:40.119 Connor Fenn: You. You can see my chrome or no.
151 00:20:40.120 ⇒ 00:20:41.420 Uttam Kumaran: I can see your chrome. Yeah.
152 00:20:41.420 ⇒ 00:20:45.840 Connor Fenn: Oh, okay, cool where? Maybe
153 00:20:52.070 ⇒ 00:20:59.860 Connor Fenn: I was just like thinking about just companies or people that I knew off the top of my head.
154 00:21:00.580 ⇒ 00:21:12.209 Connor Fenn: That might be just worth a conversation with, or just like exploring more about their companies and seeing how we could help. And so I kind of threw all of those into
155 00:21:12.430 ⇒ 00:21:19.139 Connor Fenn: the new weeds section this morning. I just I don’t know. I thought of a few, and I just ended up throwing them all in
156 00:21:21.190 ⇒ 00:21:28.969 Connor Fenn: I didn’t put any real details into any of them yet. I just haven’t had the time to do all that. I was researching other stuff. But
157 00:21:29.429 ⇒ 00:21:36.689 Connor Fenn: I, at least through their websites. And if you guys want to at least go through and check them out at some point. But I plan on building
158 00:21:37.404 ⇒ 00:21:42.350 Connor Fenn: out the details of these a little bit more. So we can kind of talk about them.
159 00:21:44.980 ⇒ 00:21:50.740 Uttam Kumaran: Yeah, I guess. Robert, what do you think I think for these? What’s what would be helpful is one.
160 00:21:51.000 ⇒ 00:22:00.859 Uttam Kumaran: do you? If we don’t know. I think there’s kind of 2 realms, one, if you know they need data or AI, then it’s a little bit easier to say, Okay, how can we think of positioning if you’re purely like, Hey.
161 00:22:01.000 ⇒ 00:22:04.249 Uttam Kumaran: I haven’t. I think these guys probably need help with something.
162 00:22:04.400 ⇒ 00:22:08.400 Uttam Kumaran: It’s we should figure out if it’s I do.
163 00:22:08.600 ⇒ 00:22:11.280 Connor Fenn: And then then we can go from there.
164 00:22:11.520 ⇒ 00:22:17.370 Connor Fenn: I think most of the my thought process. The reason I thought of these were the ones that I thought we could actually
165 00:22:17.820 ⇒ 00:22:21.450 Connor Fenn: do work with and help out some of them.
166 00:22:22.221 ⇒ 00:22:27.180 Connor Fenn: Like I I know you looked at a queen the horse company
167 00:22:28.040 ⇒ 00:22:31.089 Connor Fenn: like, though there’s a few of them that are like that.
168 00:22:31.695 ⇒ 00:22:45.179 Connor Fenn: But mo! And then these are more, or I should say the horse companies and things like that I just had thought of, because, like their data analytics, we could do something with their analytics and things like that.
169 00:22:45.871 ⇒ 00:22:49.800 Connor Fenn: Most of these like cabinetry. Big commercial companies
170 00:22:50.440 ⇒ 00:22:54.400 Connor Fenn: are actually all owned by my Uncle Matt. But
171 00:22:54.790 ⇒ 00:23:08.360 Connor Fenn: there they do commercial cavern tree, for, like the sandals, resorts, and things like that. So I just, I had a feeling there’s probably a lot of data and things as far as like
172 00:23:08.460 ⇒ 00:23:14.930 Connor Fenn: materials that I thought would just be worth exploring, but I gotta go through it all and like.
173 00:23:15.510 ⇒ 00:23:18.640 Connor Fenn: put together a little more details that we can kind of review and.
174 00:23:18.640 ⇒ 00:23:42.410 Uttam Kumaran: No, actually. But I actually think this is perfect. I mean, from my side, one is, start with the ones where you’re like. There’s probably a data thing here. The 1st question is to go in. And we basically, we have some like pre qualifying questions that you know we try to run through. I don’t know, Robert. Do you want to talk about like sort of like some of those? Or if you were to take one of these like? What are some of the questions.
175 00:23:42.720 ⇒ 00:23:46.129 Connor Fenn: Outline that I could use to fill that kind of in.
176 00:23:47.630 ⇒ 00:23:51.160 Robert Tseng: Yeah, do we have? Do we have a.
177 00:23:51.160 ⇒ 00:23:57.710 Uttam Kumaran: Somewhere somewhere. It might be it’s in the sales thing, but I I don’t know if I if we.
178 00:23:57.710 ⇒ 00:24:01.349 Robert Tseng: Yeah, yeah, basically, I’m thinking of, like, our lead discovery kind of like.
179 00:24:01.350 ⇒ 00:24:09.740 Uttam Kumaran: We have a pre-qualification template in notion. I think if you search for prequalification, you should see it
180 00:24:10.390 ⇒ 00:24:13.509 Uttam Kumaran: basically just had, like what the questions we would ask them.
181 00:24:15.280 ⇒ 00:24:16.919 Connor Fenn: Where would I search that.
182 00:24:17.222 ⇒ 00:24:23.550 Uttam Kumaran: If you go. And if you just hit search, yeah, just type in free qualification.
183 00:24:28.850 ⇒ 00:24:31.230 Uttam Kumaran: Yeah, click on that.
184 00:24:31.780 ⇒ 00:24:34.629 Uttam Kumaran: And then wherever it says, Yeah, yeah.
185 00:24:38.500 ⇒ 00:24:39.190 Connor Fenn: Okay.
186 00:24:42.260 ⇒ 00:24:48.020 Uttam Kumaran: But like this would be a great doc for you to, you know, basically start to own and think about like
187 00:24:48.510 ⇒ 00:24:51.559 Uttam Kumaran: ideally, the goal is like one you want to find out.
188 00:24:51.790 ⇒ 00:24:56.100 Uttam Kumaran: Is there a problem? Second, you want to find out how important the problem is.
189 00:24:56.240 ⇒ 00:24:59.810 Uttam Kumaran: And then, 3rd is like, is this a problem we can solve?
190 00:25:00.350 ⇒ 00:25:03.709 Uttam Kumaran: I would say, that’s roughly like, basically where we’re trying to get at.
191 00:25:04.130 ⇒ 00:25:04.860 Connor Fenn: Okay.
192 00:25:05.100 ⇒ 00:25:21.810 Connor Fenn: yeah, I I figured as as much. I I was just putting out the initial outlines. Why, they’re fresh in my head. Actually, all of those companies, too. It’s like it’s not like, I know someone basic pretty much. All of them are like, I know, the CEO or founder of so.
193 00:25:21.810 ⇒ 00:25:30.640 Uttam Kumaran: No, and that’s great. So that I think the biggest thing is like in the kind of the thing we go for is like, how do we close clients in 2 meetings or less?
194 00:25:30.810 ⇒ 00:25:39.519 Uttam Kumaran: Right? And so for this situation, it’s like we don’t. If we, if you’re able to get a call with them. Then it’s like cool in one meeting. Can I establish
195 00:25:40.040 ⇒ 00:25:44.330 Uttam Kumaran: that? They have a problem that they have budget and urgency towards it? And then
196 00:25:44.540 ⇒ 00:25:50.131 Uttam Kumaran: that it’s something that we can do. Then it’s just thinking about. Okay, what is the proposal?
197 00:25:51.010 ⇒ 00:25:53.570 Uttam Kumaran: so that’s kind of like how I would orient it.
198 00:25:53.740 ⇒ 00:25:58.100 Connor Fenn: So I think it’d be, I mean could be great great practice to go after one of these with like.
199 00:25:58.770 ⇒ 00:26:07.389 Uttam Kumaran: With the lens of what we’re offering. And then just basically say, like, Okay, here’s sort of you go. And you just ask you basically just ask open ended questions and try to isolate like
200 00:26:07.500 ⇒ 00:26:32.739 Uttam Kumaran: cause. Some people will say, like, for example, some people say, Yeah, my data is everywhere. And then you ask them like, is it urgent? And then they’re gonna be like, well, actually, like, we have a product launch coming up. And like most of my focus is on that. Okay? So we lose. We don’t. They don’t have a lot of urgency. Second, you must be like, Hey, I need this data like. I’m raising money. I don’t have any of it cool. They’re like it’s super urgent, like. We needed it yesterday. Great! But I I only I’m willing to pay like 2 KA month. Max.
201 00:26:33.270 ⇒ 00:26:53.779 Uttam Kumaran: you’re like, okay, you’re you’re not in the ballpark. So the the problem, you know, we’ve the problem. I’ve had the problem that I think every sales orders go through is like, you may find someone who’s like, Oh, I’m super interested in you guys like we need data, blah blah. And then you finally, at the end of the process, you get to budget. And then they’re like we have no money.
202 00:26:53.940 ⇒ 00:26:59.739 Uttam Kumaran: And that’s a question we should have asked way upfront. So we kind of have a good sense of now, of like what we’re charging, and
203 00:26:59.900 ⇒ 00:27:08.160 Uttam Kumaran: if people are only willing to spend a couple of thousands. Then we have 2 options. One, we say, like, you’re kind of out of the ballpark. Second, we sell the strategy
204 00:27:08.520 ⇒ 00:27:12.640 Uttam Kumaran: and then see if they’re willing to kind of spend more down the line on the implementation.
205 00:27:15.900 ⇒ 00:27:16.730 Connor Fenn: Alright.
206 00:27:18.050 ⇒ 00:27:30.170 Connor Fenn: I definitely wanna make sure I’m doing everything you guys kind of want me to do this week, too. Is there any kind of direction that you want me to take, other than what we kind of talked about or.
207 00:27:33.500 ⇒ 00:27:35.310 Uttam Kumaran: Yeah, Robert, what do you think?
208 00:27:40.000 ⇒ 00:27:41.029 Robert Tseng: I think
209 00:27:43.000 ⇒ 00:27:55.860 Robert Tseng: the what. So I guess if he you know, while Connor’s putting together more info on Lisa, he does have, I think we should also prepare some for him to try to reach out to as well. Just like kinda basically, I wanna try to test.
210 00:27:55.990 ⇒ 00:28:01.850 Robert Tseng: Wanna give him different leads at different stages. Just to kind of see like cause it’ll it’ll
211 00:28:02.140 ⇒ 00:28:08.309 Robert Tseng: take some time to kind of like, get one through the entire process. But yeah, I just wanna like.
212 00:28:08.810 ⇒ 00:28:15.329 Robert Tseng: see how he can, how how he needs like, get him familiar with what it’s like to handle these at different stages.
213 00:28:16.400 ⇒ 00:28:19.409 Uttam Kumaran: So maybe some, we we pick off some of the ones that are in circle back.
214 00:28:22.200 ⇒ 00:28:26.349 Robert Tseng: Yeah, or I guess, like some other ideas I had would be like.
215 00:28:27.545 ⇒ 00:28:33.409 Robert Tseng: I mean, I’m constantly building lead lists on sales nav. And so like, maybe I can just like
216 00:28:33.940 ⇒ 00:28:35.430 Robert Tseng: give him like.
217 00:28:35.430 ⇒ 00:28:36.290 Uttam Kumaran: Oh, yeah.
218 00:28:36.770 ⇒ 00:28:53.270 Robert Tseng: From there. I mean, those are manually built. But I just I read a lot of stuff, and I like stuff on my network comes up all the time, and then I just save them to lead list that I don’t end up reaching out to necessarily. So maybe I can just like pass that to him, because I think those, for in my mind I’ve already been kind of like.
219 00:28:54.900 ⇒ 00:29:04.432 Robert Tseng: kind of qualify or like, they’re not necessarily qual formally qualified yet, but like I think I they passed my eye test, I guess, and I like to save them.
220 00:29:05.144 ⇒ 00:29:07.960 Robert Tseng: So at least that’s not like a complete shot in the dark.
221 00:29:08.593 ⇒ 00:29:13.449 Robert Tseng: Like. I don’t necessarily want him spending time like building lead lists, because I feel like
222 00:29:13.680 ⇒ 00:29:32.060 Robert Tseng: that should be more on us to find the criteria, and then eventually working with Eric’s team to like, get those. So I would prefer to like, give him leads that like we are already like they’re on some sort of us, like there we, and and then he can try to like. Bring them to the next next stage.
223 00:29:33.970 ⇒ 00:29:34.610 Uttam Kumaran: Okay.
224 00:29:36.240 ⇒ 00:29:59.300 Robert Tseng: I’m also thinking so on the Linkedin. So that’s on the Linkedin side. And then, honestly, I I am also thinking I mean, I don’t know how strong, whatever I was. Just an idea like on my upwork as well, like my upwork profile gets hit up by stuff, and there’s always more bids that I could send out. That could be like a good test playground as well, because, like.
225 00:29:59.790 ⇒ 00:30:03.274 Robert Tseng: yeah, they may not necessarily be our Icp
226 00:30:04.210 ⇒ 00:30:18.830 Robert Tseng: but it’s filled with people that businesses that have high intent, and like the close, the close rates are much higher there than like in other other platforms. So just yeah. So maybe that could just be a way for him to like
227 00:30:19.140 ⇒ 00:30:34.610 Robert Tseng: easily, get on the phone with people. Because everyone in there like every business of that that’s there is like pretty desperate. And like, you know, they’re they’re reaching out to you, or they’re responding to you because they want. They want something to happen soon.
228 00:30:35.129 ⇒ 00:30:55.789 Robert Tseng: So maybe that’s even another like plot platform that we could. We could consider getting getting him to to try to try as well, but I don’t know. I don’t want to overwhelm it either, so I think those are just ideas. I haven’t really structured like what would be the best way to onboard those things. But those are a couple of the things that I thought about.
229 00:30:56.730 ⇒ 00:30:58.780 Uttam Kumaran: I like those, too. I mean, Connor. What do you think.
230 00:30:59.770 ⇒ 00:31:01.010 Connor Fenn: No, that works for me.
231 00:31:03.160 ⇒ 00:31:06.289 Uttam Kumaran: I think I’m yeah. I’m game for either one.
232 00:31:06.710 ⇒ 00:31:11.299 Robert Tseng: Well, let’s start with the Linkedin one. I think that’s probably more like our value. And then.
233 00:31:11.786 ⇒ 00:31:14.350 Robert Tseng: yeah, I don’t know. Yeah, I guess
234 00:31:15.070 ⇒ 00:31:24.640 Robert Tseng: I don’t know, Tom. I imagine I mean, obviously, the ones that we have second degree connections to like. We’re gonna be the ones that are doing the outreach kind of like how we’ve been doing ad hoc.
235 00:31:25.380 ⇒ 00:31:29.960 Robert Tseng: If there are like 1st degree or second degree contacts. But like.
236 00:31:30.360 ⇒ 00:31:38.040 Robert Tseng: I don’t know, there’s plenty of like 3rd degree or or like. I don’t really have a true mutual. It’s just like an acquaintance, or connect on Linkedin that, like.
237 00:31:38.040 ⇒ 00:31:38.640 Uttam Kumaran: Yeah.
238 00:31:38.640 ⇒ 00:31:41.410 Robert Tseng: Is a bit farther that we probably need to do
239 00:31:41.600 ⇒ 00:31:45.149 Robert Tseng: like more of a formal like sales call.
240 00:31:45.150 ⇒ 00:31:45.780 Uttam Kumaran: True.
241 00:31:45.780 ⇒ 00:31:46.250 Robert Tseng: Yeah.
242 00:31:46.250 ⇒ 00:31:48.920 Uttam Kumaran: Yeah. So I think, yeah, I think we go with your
243 00:31:49.060 ⇒ 00:31:53.310 Uttam Kumaran: your lead list that you you already have. I think then we can
244 00:31:53.550 ⇒ 00:31:59.940 Uttam Kumaran: work on helping Connor figure out. Okay, if we need to add to that lead list like who to go after. Maybe
245 00:32:00.080 ⇒ 00:32:18.707 Uttam Kumaran: we do it by degree connection or something. But I think that’s a probably great way to start one. It allows you, Connor, to just basically get a sense for like the email like how to get in front of those people email and Linkedin and then booking a meeting. And then if those people book a meeting, then we basically get to ride that out.
246 00:32:19.410 ⇒ 00:32:21.620 Uttam Kumaran: you know, from the start and see the whole process.
247 00:32:21.720 ⇒ 00:32:32.522 Uttam Kumaran: I think we do that. And then basically this week, I’m gonna I’m just gonna try to include you on as many sales sort of cover like sales conversations I’m having externally
248 00:32:33.520 ⇒ 00:32:55.679 Uttam Kumaran: And then I think the big thing we want to do is just get you to what the pre qualification, like sort of template of questions is. Cause. Then you can go call as many people as you need. And then, basically, we just qualify if they’re if they have the budget, if they have urgency and they’re worth, you know, there’s something we can do. Then we move to the next stage. So I think that’s a great next step.
249 00:32:57.680 ⇒ 00:33:18.029 Robert Tseng: Yeah, so as far as like how you would reach out. I mean, there’s 2 ways we can either use Connor’s. He can use his own Linkedin, and we can just get him sales nav or something. And then he can basically just take the lead list and hit them up himself, or because I don’t know. Our both of our profiles are more kind of in line with the work.
250 00:33:18.030 ⇒ 00:33:18.430 Uttam Kumaran: Yeah.
251 00:33:18.430 ⇒ 00:33:34.889 Robert Tseng: We’re asking for. He would ghost into one of our accounts. To do to do it, which I’m I’m okay with, like you can. I don’t know if you’re comfortable with it, but you can basically go into my account and use my sales nav platform. If that’s the way that we want to try this.
252 00:33:34.890 ⇒ 00:33:39.619 Uttam Kumaran: Yeah, I’m fine with that, too. My stuff is already on one password. I would honestly.
253 00:33:39.830 ⇒ 00:33:42.579 Uttam Kumaran: I would probably do that, or
254 00:33:42.740 ⇒ 00:33:47.789 Uttam Kumaran: you can even try both Connor and basically you can either DM from our profile.
255 00:33:47.900 ⇒ 00:33:51.250 Uttam Kumaran: or the or or you DM from yours. And basically
256 00:33:51.410 ⇒ 00:33:59.470 Uttam Kumaran: you would just have to intro yourself. I think what we found is that because our profiles are like CEO, or whatever people tend to
257 00:33:59.630 ⇒ 00:34:02.559 Uttam Kumaran: just respond over responding to people that are on sales.
258 00:34:02.780 ⇒ 00:34:05.420 Uttam Kumaran: But again, it’s just like
259 00:34:05.640 ⇒ 00:34:10.179 Uttam Kumaran: it’s kind of figuring out the the best process for you, and like what’s working, and then just doubling down.
260 00:34:10.659 ⇒ 00:34:13.989 Connor Fenn: So my one worry with that, though, is, if I do
261 00:34:14.649 ⇒ 00:34:25.379 Connor Fenn: like, end up getting someone responding to me through one of your accounts, then they’re going to be expecting you guys on the calls for the like. The 1st Intro.
262 00:34:25.840 ⇒ 00:34:35.180 Uttam Kumaran: Yeah. So I think the best way to kind of like go away from that is one there may be some people who are like, well, I’m down to talk to you. The second thing is like cool. I’m gonna arrange a call between you and my team.
263 00:34:35.670 ⇒ 00:34:39.160 Uttam Kumaran: and for the for these 1st meetings. We’ll be on every call, anyways with you.
264 00:34:39.730 ⇒ 00:34:45.912 Uttam Kumaran: And then I think the way around it is like great. I’m gonna I’m gonna set some time up with you and our team.
265 00:34:46.429 ⇒ 00:34:48.360 Uttam Kumaran: yeah, that’s pretty common.
266 00:34:48.699 ⇒ 00:35:05.939 Robert Tseng: Yeah. And honestly, Connor, like, I feel like a lot of the CEO contacts that reach out to. They have someone managing their Linkedin. They usually are, respond with like Hi, like, thanks for the connect by the fyi like this isn’t who you think it is. It’s like I. I manage their social media or whatever. And it just like.
267 00:35:06.069 ⇒ 00:35:09.859 Robert Tseng: I feel like, that’s just a pretty much these things.
268 00:35:10.350 ⇒ 00:35:11.910 Connor Fenn: Okay, yeah.
269 00:35:13.510 ⇒ 00:35:21.799 Connor Fenn: alright. So when do you think you’d have that kind of list and like things together for me? Do you think I know it.
270 00:35:22.270 ⇒ 00:35:25.870 Connor Fenn: It’s all day and whatnot, but I’m just trying to get an idea.
271 00:35:28.030 ⇒ 00:35:39.989 Robert Tseng: Let’s do. Let’s I mean, well, I guess we’ll we’ll say Wednesday, like new in the New Year. I don’t think any. Yeah. I mean, we’re not gonna do anything between. We’re not gonna reach out anyone before then. So.
272 00:35:39.990 ⇒ 00:35:41.550 Connor Fenn: Yeah, okay.
273 00:35:41.550 ⇒ 00:35:42.280 Robert Tseng: Okay.
274 00:35:43.730 ⇒ 00:35:44.449 Connor Fenn: Works for me.
275 00:35:44.450 ⇒ 00:35:55.179 Uttam Kumaran: Okay, cool. And then, yeah, let’s just keep working on more sales material stuff. I think the biggest thing is, I want to finalize the pre qualification questions and then also finalize the audit
276 00:35:55.600 ⇒ 00:35:56.640 Uttam Kumaran: service.
277 00:35:56.900 ⇒ 00:35:59.799 Uttam Kumaran: So yeah, and then just keep hitting us with questions.
278 00:36:00.070 ⇒ 00:36:03.439 Uttam Kumaran: Connor, and slack. And then we can. I think these discussions are great. And then.
279 00:36:04.450 ⇒ 00:36:09.629 Uttam Kumaran: yeah, let’s think about doing some sort of, I think. Let’s just keep when we just do the meetings ad hoc for now.
280 00:36:09.820 ⇒ 00:36:12.059 Uttam Kumaran: and we can meet as often as we need.
281 00:36:12.300 ⇒ 00:36:16.950 Uttam Kumaran: And then, if beyond the lead meeting, if we have another well defined meeting.
282 00:36:17.240 ⇒ 00:36:20.739 Uttam Kumaran: because if it’s just like this. Then we can. We can chat whenever we have time. So.
283 00:36:21.630 ⇒ 00:36:28.859 Connor Fenn: Okay? And then I guess, actually, just one more quick question. Why, it’s coming up, Robert. I saw that you.
284 00:36:29.250 ⇒ 00:36:33.880 Connor Fenn: We’re adding stuff to the services tabs
285 00:36:35.840 ⇒ 00:36:42.110 Connor Fenn: like they’re getting built out is, should I just be leaving these blank for you guys, or do you want me to like?
286 00:36:43.320 ⇒ 00:36:48.500 Connor Fenn: Well, the other last week or the other week we were talking about like building these out. I just don’t know if.
287 00:36:49.220 ⇒ 00:36:53.400 Connor Fenn: while I’m doing research on them, I should try to take a stab at that, or.
288 00:36:56.295 ⇒ 00:37:06.949 Robert Tseng: I mean, I think I finished all the ones for the product analytics stuff like every. Well, actually, I didn’t anything with anything with the green tag like it’s done. But yeah, I guess there’s more
289 00:37:07.340 ⇒ 00:37:09.580 Robert Tseng: to be done there. I think
290 00:37:10.020 ⇒ 00:37:18.430 Robert Tseng: I mean, I was building these out because we were, gonna update it. I don’t know where Ann has this on her plate. But because I don’t know. I think we just.
291 00:37:18.750 ⇒ 00:37:27.370 Robert Tseng: I I just got this rolling so she could have something to to finish. But I didn’t have like a due date for it, so I don’t know if we we need to.
292 00:37:28.150 ⇒ 00:37:30.070 Robert Tseng: Oh, a week.
293 00:37:31.030 ⇒ 00:37:49.820 Connor Fenn: I’m just saying, I ask, because in my head I’m like, I’m trying to get a picture of like what? Specifically, I’m like selling to people, and it’s like I get the. I guess the outline of it all. But like I don’t, I don’t have like a specific thing that I can say, I guess, and that’s what I’m
294 00:37:51.640 ⇒ 00:37:53.020 Connor Fenn: which I know.
295 00:37:53.020 ⇒ 00:37:59.260 Uttam Kumaran: So all the product, all the and product analytics stuff is done in terms of like all that stuff is already there in terms of
296 00:37:59.400 ⇒ 00:38:09.189 Uttam Kumaran: like what we’re doing and what we’re selling. I think, Robert, what we probably need is is more of like sort of the stuff I started preparing, which is like, what’s the sales?
297 00:38:09.730 ⇒ 00:38:10.090 Connor Fenn: Okay.
298 00:38:10.090 ⇒ 00:38:11.110 Uttam Kumaran: Talk, track.
299 00:38:11.830 ⇒ 00:38:12.570 Robert Tseng: Yeah.
300 00:38:12.920 ⇒ 00:38:19.219 Connor Fenn: I don’t think I’m looking in the right spot then, because, like, I’m looking at customer segmentation right now, and it’s pretty much empty.
301 00:38:20.010 ⇒ 00:38:22.270 Uttam Kumaran: Look at, do you? Do you see any ones with a green.
302 00:38:22.490 ⇒ 00:38:28.639 Connor Fenn: Yeah, I see, it’s just the the top 2. Okay, so it’s just the Ab testing and event data modeling.
303 00:38:28.880 ⇒ 00:38:29.610 Uttam Kumaran: Yeah.
304 00:38:29.930 ⇒ 00:38:30.630 Connor Fenn: Okay.
305 00:38:30.930 ⇒ 00:38:31.960 Connor Fenn: I see.
306 00:38:31.960 ⇒ 00:38:45.779 Uttam Kumaran: So this is, these are like encompass sort of all the so I think what would be helpful, Connor is if one, we can think of something where it’s like, okay, what would you need for each of these in terms of like the sales talk track? Because I think these are more focused on, like
307 00:38:45.970 ⇒ 00:38:50.609 Uttam Kumaran: what we’re doing. I think we want to also have a component which is like how to sell these.
308 00:38:51.020 ⇒ 00:38:54.640 Uttam Kumaran: That is closer to like what me and you were working on.
309 00:38:55.040 ⇒ 00:38:55.390 Robert Tseng: Yeah.
310 00:38:55.604 ⇒ 00:39:01.600 Uttam Kumaran: But also I would just take a crack at it. And then maybe we can all just like collaborate. I mean, I’m gonna try to spend some time
311 00:39:02.496 ⇒ 00:39:03.650 Uttam Kumaran: this week
312 00:39:04.320 ⇒ 00:39:13.860 Uttam Kumaran: as much as I can on like nailing it for the rest of the data services. Which will include not only like what we’re doing, but then how to talk to it.
313 00:39:14.990 ⇒ 00:39:18.570 Connor Fenn: Do you guys have like a standard like, kind of like
314 00:39:18.930 ⇒ 00:39:23.579 Connor Fenn: 1 min elevator, 30 second elevator pitch, you say about rainforge.
315 00:39:26.495 ⇒ 00:39:27.310 Uttam Kumaran: Yeah.
316 00:39:29.460 ⇒ 00:39:31.769 Connor Fenn: Is that? What is it written out, or.
317 00:39:31.770 ⇒ 00:39:33.870 Uttam Kumaran: No, no.
318 00:39:34.920 ⇒ 00:39:38.492 Connor Fenn: At least, could you like just so, I can have an idea.
319 00:39:39.592 ⇒ 00:39:44.729 Uttam Kumaran: Yeah, I mean, I mean, I, yeah, I just say, we’re, we’re a data analytics and AI
320 00:39:45.030 ⇒ 00:39:48.320 Uttam Kumaran: like company, like we help clients measure their businesses.
321 00:39:48.530 ⇒ 00:39:53.689 Connor Fenn: And implement AI, that’s a that’s in a bunch of places that’s on the website, like in a bunch of places.
322 00:39:53.690 ⇒ 00:39:56.400 Connor Fenn: Yeah, I just wasn’t sure if you had like a more.
323 00:39:56.950 ⇒ 00:40:02.950 Uttam Kumaran: No like all this. The thing is, it’s like it’s almost like you’re asking me like, how do you? Can you explain like, how
324 00:40:03.150 ⇒ 00:40:05.700 Uttam Kumaran: blinking works like.
325 00:40:06.140 ⇒ 00:40:22.817 Uttam Kumaran: you know what I mean? It’s like, it’s like, you know. Have you ever thought thought about like focus on your breathing? You’re like, Damn! I just breathe automatically, like, you’re asking me questions like, How do you talk? I’m like, I don’t know. I haven’t written it down because we haven’t had to. But you’re right. I mean, like we should write it down like. So you’re getting at the root of the problem.
326 00:40:27.020 ⇒ 00:40:27.740 Connor Fenn: Yeah, okay.
327 00:40:27.740 ⇒ 00:40:43.659 Robert Tseng: Connor just linked you like. This is my old partner, Kit, before, like the brain forge merge. So under my like previous company, which is Pongo. I mean, I guess this is more kind of in mind of just like the analytics
328 00:40:44.210 ⇒ 00:40:57.599 Robert Tseng: stuff. But this is what I would send to like vendor partners or agency partners that wanted to know, like what we do and how to talk about it with their clients. As we were trying to explore like partner sales.
329 00:40:57.710 ⇒ 00:41:06.289 Robert Tseng: So I mean, if this format is like more helpful for you to understand, like what are like, those key phrases like
330 00:41:06.420 ⇒ 00:41:13.580 Robert Tseng: pain points that you hear from clients and what you can speak to like. And that’s what I built this doc for. So
331 00:41:14.600 ⇒ 00:41:23.349 Robert Tseng: I don’t know. I think maybe that’s more helpful than the service offerings. Page, because the service offering page, yeah, it’s gonna be kind of
332 00:41:25.440 ⇒ 00:41:30.109 Robert Tseng: high level. I mean, it’s supposed to be keyword rich and cover like
333 00:41:30.350 ⇒ 00:41:39.759 Robert Tseng: the breadth of services that we offer. But you know it’s more of a lead magnet. I expect people to reach out asking about a particular service, so I imagine it’s not the same
334 00:41:39.880 ⇒ 00:41:42.440 Robert Tseng: content that we would be like.
335 00:41:42.810 ⇒ 00:41:46.680 Robert Tseng: I wouldn’t be using that as my sales script is kind of what I’m getting at.
336 00:41:47.140 ⇒ 00:41:50.809 Connor Fenn: No, I get that. And yeah, I’ll take a look at this. I appreciate it.
337 00:41:50.960 ⇒ 00:41:51.580 Robert Tseng: Yeah.
338 00:41:52.550 ⇒ 00:41:55.649 Uttam Kumaran: I also think, like, if there’s anything like this where you’re like.
339 00:41:55.920 ⇒ 00:42:15.070 Uttam Kumaran: this is really basic. But we need it. Just write it down somewhere, and we’ll get it to you. Because yes, these are things where, since you’re coming with a fresh brain, I haven’t. I mean, I’ve thought about like where to write this stuff, and almost having, like all the blurbs somewhere. But it’s on the to do list, so just keep track, and then just keep hammering us. I’ll write it. We’ll write all this down.
340 00:42:15.200 ⇒ 00:42:18.936 Uttam Kumaran: I wanna I it’s not that I don’t want everything to be sort of there. It’s
341 00:42:19.390 ⇒ 00:42:24.720 Uttam Kumaran: some stuff. It’s it’s a we just haven’t. We just haven’t gotten all the way
342 00:42:24.850 ⇒ 00:42:29.069 Uttam Kumaran: to to document every single part of the process yet. So it’s kind of a work in progress.
343 00:42:29.410 ⇒ 00:42:33.050 Uttam Kumaran: But it’s good, because again, like you’re asking the the right questions. So.
344 00:42:38.010 ⇒ 00:42:43.299 Connor Fenn: Well, that’s all I kind of really had at the moment. I gotta kinda jump into all of this.
345 00:42:43.600 ⇒ 00:42:44.240 Uttam Kumaran: Okay.
346 00:42:46.310 ⇒ 00:42:48.960 Connor Fenn: But yeah, I appreciate it. It was helpful.
347 00:42:49.460 ⇒ 00:42:58.189 Uttam Kumaran: Okay, perfect. All right? Well, then, yeah, let’s just chat on slack. And then, yeah, just keep hitting with questions. And I’m just gonna try to. I’m gonna try to do as much notion
348 00:42:58.430 ⇒ 00:43:03.370 Uttam Kumaran: stuff this week, for on the sales side as I can get done. So see how far we get.
349 00:43:03.770 ⇒ 00:43:04.770 Connor Fenn: Sounds good.
350 00:43:05.040 ⇒ 00:43:05.810 Uttam Kumaran: Okay.
351 00:43:06.450 ⇒ 00:43:07.980 Uttam Kumaran: Alright. Thanks. Ash.
352 00:43:08.200 ⇒ 00:43:09.380 Robert Tseng: Cool. Yeah.
353 00:43:09.650 ⇒ 00:43:10.560 Uttam Kumaran: Talk, soon.