Meeting Title: Uttam Kumaran Date: 2025-02-03 Meeting participants: Ryan Brisas, Uttam Kumaran, Hannah Wang
WEBVTT
1 00:00:30.930 ⇒ 00:00:34.659 Uttam Kumaran: Yeah, I, my 1st pass will take a while. So let’s do that.
2 00:00:35.150 ⇒ 00:00:43.160 Hannah Wang: Yeah, okay. So I’ll like, cut down on copy, and then I’ll send everything over to Ann, and then she’ll probably work on it when we’re sleeping, and then
3 00:00:43.300 ⇒ 00:00:46.850 Hannah Wang: I’ll review her changes and then kind of update you on that.
4 00:00:46.850 ⇒ 00:00:56.829 Uttam Kumaran: Yeah, I’ll go through it tonight and answer and put in more details for as much as I have. Like tech stack I’m not worried about will end up doing something like prax. And because we have, like categories of tech.
5 00:00:57.500 ⇒ 00:00:59.539 Hannah Wang: And honestly, that’s probably.
6 00:00:59.790 ⇒ 00:01:02.729 Uttam Kumaran: Like where we may move some of the partners stuff.
7 00:01:02.910 ⇒ 00:01:05.049 Uttam Kumaran: Some of our partners are like vendor partners.
8 00:01:07.840 ⇒ 00:01:13.839 Uttam Kumaran: Yeah. And I think, looking at it today. Help me basically be like, yeah, let’s lower the amount of text. But just
9 00:01:14.120 ⇒ 00:01:17.799 Uttam Kumaran: I think as much as we can rely on icons, logos and faces.
10 00:01:17.970 ⇒ 00:01:18.600 Hannah Wang: I agree.
11 00:01:18.600 ⇒ 00:01:35.397 Uttam Kumaran: For example, like we use a couple of really core technologies everywhere, we can gain from their understanding in the market like snowflake, everybody in data sort of knows them so we can sprinkle that in. It gives us some credibility. So I’ll tag some some good
12 00:01:38.090 ⇒ 00:01:39.530 Uttam Kumaran: companies to use there.
13 00:01:41.820 ⇒ 00:01:45.579 Uttam Kumaran: And then, yeah, I think like, we don’t have to overthink it. I think we can, just
14 00:01:45.830 ⇒ 00:01:49.420 Uttam Kumaran: as soon as it’s like sort of polished and copies polish. We can call it a day.
15 00:01:49.530 ⇒ 00:01:52.479 Uttam Kumaran: and then it’ll sort of marinate in the background while we move on.
16 00:01:53.040 ⇒ 00:01:53.700 Hannah Wang: Yeah.
17 00:01:54.490 ⇒ 00:01:56.980 Uttam Kumaran: And also we’ll start running this with clients. By the way.
18 00:01:57.470 ⇒ 00:01:57.790 Hannah Wang: Okay.
19 00:01:57.790 ⇒ 00:02:01.679 Uttam Kumaran: You’ll get some feedback from, and Robert
20 00:02:02.170 ⇒ 00:02:02.525 Hannah Wang: Okay.
21 00:02:03.090 ⇒ 00:02:04.599 Uttam Kumaran: So that’ll be really helpful.
22 00:02:04.920 ⇒ 00:02:05.510 Hannah Wang: Yeah.
23 00:02:12.110 ⇒ 00:02:22.700 Hannah Wang: okay, yeah, that that helps with the direction of this deck. But I don’t know. I mean, I also added a bunch of comments on the pricing page, but we can move on to content.
24 00:02:23.250 ⇒ 00:02:30.380 Uttam Kumaran: We can talk about. Let’s talk about the pricing. Give you as much as you need.
25 00:02:32.933 ⇒ 00:02:34.000 Uttam Kumaran: Let me open it up.
26 00:02:35.580 ⇒ 00:02:37.560 Uttam Kumaran: I’m just gonna get get it watered up here.
27 00:02:38.030 ⇒ 00:02:38.485 Uttam Kumaran: Yeah.
28 00:02:51.080 ⇒ 00:02:54.879 Uttam Kumaran: Pull my girlfriend’s treadmill like her walking treadmill.
29 00:02:55.490 ⇒ 00:02:58.200 Uttam Kumaran: I’ve been trying to walk all day, but it’s a little bit.
30 00:02:58.200 ⇒ 00:03:01.810 Uttam Kumaran: You’re one of those you have to go like point 5.
31 00:03:01.810 ⇒ 00:03:02.640 Uttam Kumaran: It’s point 6.
32 00:03:03.176 ⇒ 00:03:03.713 Hannah Wang: Yeah.
33 00:03:04.830 ⇒ 00:03:05.650 Uttam Kumaran: Yeah, see?
34 00:03:06.860 ⇒ 00:03:10.153 Uttam Kumaran: Alright, I feel like I’m getting some steps in.
35 00:03:11.670 ⇒ 00:03:15.650 Hannah Wang: That’s helpful. I feel like I want one, too. Cause I’m just.
36 00:03:15.650 ⇒ 00:03:20.220 Uttam Kumaran: Splurge on myself. She bought it, and then she just went in. She just went in in office
37 00:03:20.470 ⇒ 00:03:23.900 Uttam Kumaran: like, so I’m like dude. Let me steal that.
38 00:03:23.900 ⇒ 00:03:24.520 Hannah Wang: Yeah.
39 00:03:26.640 ⇒ 00:03:30.270 Uttam Kumaran: It seems like cheating, though it doesn’t seem like real walking.
40 00:03:30.270 ⇒ 00:03:31.809 Hannah Wang: Doesn’t seem like, yeah.
41 00:03:35.720 ⇒ 00:03:38.749 Hannah Wang: Whose dog is that? By the way, is it both of your.
42 00:03:38.750 ⇒ 00:03:39.649 Uttam Kumaran: No, it’s her dog.
43 00:03:39.650 ⇒ 00:03:44.720 Hannah Wang: Okay. Oh, my gosh, I love when he or she is just in the background. I love it.
44 00:03:44.720 ⇒ 00:03:45.680 Uttam Kumaran: Leaving.
45 00:03:45.940 ⇒ 00:03:54.569 Uttam Kumaran: Yeah. And it’s nice in Austin today, it’s 80 degrees. So I I leave, I left the door open and so cause he gets gets kinda like
46 00:03:55.400 ⇒ 00:04:01.809 Uttam Kumaran: he doesn’t get like cooped up, but like he’s a he’s a German shepherd.
47 00:04:02.895 ⇒ 00:04:07.440 Uttam Kumaran: Mix and a great with great Pyrenees and a yellow lab.
48 00:04:07.570 ⇒ 00:04:26.549 Uttam Kumaran: So he kind of is like a guard he kind of is like a shepherd dog where he just needs to be like always guarding, and so he likes the door to be open, because if I if I leave him out and close the door, he just tries to get it back in, but if I leave the door open, he like rummages and like, goes outside, and he’ll sit outside, stare at the gate for like a few hours.
49 00:04:26.790 ⇒ 00:04:32.360 Uttam Kumaran: And like, I like that, he can just go and like, live, yeah, yeah.
50 00:04:32.360 ⇒ 00:04:35.390 Uttam Kumaran: yeah, it’s kind of nice. I feel like it’s a luxury for him. So.
51 00:04:37.750 ⇒ 00:04:42.010 Hannah Wang: That’s that’s nice. You get a free bodyguard.
52 00:04:42.010 ⇒ 00:04:48.669 Uttam Kumaran: Yeah. Oh, yeah. And he’s big. He’s very kind, though very nice. Just like looks doesn’t look.
53 00:04:48.820 ⇒ 00:04:49.560 Hannah Wang: Scary.
54 00:04:49.560 ⇒ 00:04:57.080 Uttam Kumaran: Like a pit bull, and he’s very cute. But then some the German shepherds I feel like the breed you’re supposed to look at them be like
55 00:04:57.420 ⇒ 00:04:59.230 Uttam Kumaran: that’s like a scary dog.
56 00:04:59.230 ⇒ 00:05:00.030 Hannah Wang: Yeah.
57 00:05:01.930 ⇒ 00:05:02.810 Uttam Kumaran: But yeah.
58 00:05:02.810 ⇒ 00:05:04.459 Hannah Wang: Love it. I love dogs.
59 00:05:09.560 ⇒ 00:05:12.100 Uttam Kumaran: Okay, let me pull this up on my side.
60 00:05:27.120 ⇒ 00:05:29.499 Uttam Kumaran: Yeah, we should use sentence case everywhere.
61 00:05:33.270 ⇒ 00:05:35.130 Hannah Wang: Sorry before you go on.
62 00:05:35.130 ⇒ 00:05:35.480 Uttam Kumaran: I guess.
63 00:05:35.480 ⇒ 00:05:44.910 Hannah Wang: What’s like the status of this page? It just is it in like, Oh, needs design review. And then we’re good to hand it over to dev or.
64 00:05:44.910 ⇒ 00:05:47.209 Uttam Kumaran: I feel pretty. Yeah, exactly.
65 00:05:47.350 ⇒ 00:05:48.150 Hannah Wang: Okay.
66 00:05:48.150 ⇒ 00:05:48.710 Uttam Kumaran: Yeah.
67 00:05:49.380 ⇒ 00:05:52.149 Uttam Kumaran: The copy is not correct.
68 00:05:53.680 ⇒ 00:05:59.089 Uttam Kumaran: But I kind of didn’t want to move on the individual copy until I sort of got your.
69 00:05:59.810 ⇒ 00:06:00.380 Hannah Wang: Hmm.
70 00:06:00.380 ⇒ 00:06:05.550 Uttam Kumaran: This looks pretty good pricing wise. Like to give you a sense we may not.
71 00:06:05.660 ⇒ 00:06:08.110 Uttam Kumaran: I don’t know. I’m sort of like nervous to put
72 00:06:08.440 ⇒ 00:06:13.370 Uttam Kumaran: the pricing of the 15 K and 25 K packages on site.
73 00:06:13.919 ⇒ 00:06:20.370 Uttam Kumaran: However, I do think I’m gonna we’re gonna move forward with the 5 k, and then basically,
74 00:06:21.680 ⇒ 00:06:23.610 Uttam Kumaran: just put the second thing as like
75 00:06:25.340 ⇒ 00:06:30.519 Uttam Kumaran: depends or like, I don’t know what we have to use somewhere like call for pricing or something.
76 00:06:31.510 ⇒ 00:06:35.999 Uttam Kumaran: I I think it. It looks like it changed a little bit right since last time.
77 00:06:36.490 ⇒ 00:06:37.776 Hannah Wang: No. So
78 00:06:38.700 ⇒ 00:06:46.810 Hannah Wang: I if you kind of go over to where my cursor is like, this is what I kind of mocked up today. Actually, because.
79 00:06:46.810 ⇒ 00:06:47.610 Uttam Kumaran: Oh, nice!
80 00:06:48.220 ⇒ 00:06:50.269 Uttam Kumaran: This look, this actually looks clean.
81 00:06:50.270 ⇒ 00:07:09.820 Hannah Wang: Yeah, I I wasn’t a huge fan of like how this card right here the 25 k 1, was like hovering a little bit above everything else like it wasn’t on the same line. I just thought, what about creating everything kind of on the same level, and just highlighting it with that green, light green color.
82 00:07:10.294 ⇒ 00:07:15.010 Hannah Wang: Everything else is basically the same but you can see in my comment, like
83 00:07:16.950 ⇒ 00:07:32.119 Hannah Wang: and the original design, like the 5 K and 15 k, like, there’s no border around it. So it just looks like one blob. And then, yeah, I don’t. I didn’t really like how the 25 K. Was like higher, I understand, like the intent behind it, but
84 00:07:32.310 ⇒ 00:07:37.919 Hannah Wang: it just looked a bit off to me. So I just wanted like.
85 00:07:38.370 ⇒ 00:07:51.059 Uttam Kumaran: Yeah, let me give you some background also. So we most so most of our clients, we we have them start with a 5 k audit. The reason it’s priced at 5 is, it’s
86 00:07:51.190 ⇒ 00:07:58.499 Uttam Kumaran: usually we do between 3 and 5. It’s small enough for them to be like cool. We’re good with this. It’s not like as big as like a commitment for several months.
87 00:07:58.866 ⇒ 00:08:03.740 Uttam Kumaran: And so what the 5 has helped us do is we go in. And we basically spend 2 weeks.
88 00:08:03.950 ⇒ 00:08:14.129 Uttam Kumaran: Give them a sense of like what we could do. And then they’re free to take that deliverable and sort of run with it. We have a deck actually, for that audit deliverable that we’ll probably work on.
89 00:08:14.280 ⇒ 00:08:20.420 Uttam Kumaran: you know, sort of branding up later, but that’s the sort of pitch for the 5 k, so it’s they’re not necessarily like
90 00:08:21.540 ⇒ 00:08:22.810 Uttam Kumaran: comparable.
91 00:08:23.300 ⇒ 00:08:23.830 Hannah Wang: Okay.
92 00:08:23.830 ⇒ 00:08:27.129 Uttam Kumaran: Which I don’t think I shared very clearly in the original requirements.
93 00:08:27.700 ⇒ 00:08:32.510 Uttam Kumaran: It’s more like 5 K. Is a good is like a good way to get your feet wet.
94 00:08:32.809 ⇒ 00:08:41.639 Uttam Kumaran: and then 15 to 25 K. We do as like a commitment based thing. Some people come to us like, I already. Need you guys, let’s go.
95 00:08:41.909 ⇒ 00:08:42.459 Hannah Wang: Yeah.
96 00:08:42.460 ⇒ 00:08:43.650 Uttam Kumaran: Some people they’re like.
97 00:08:43.750 ⇒ 00:08:54.920 Uttam Kumaran: I don’t really know like, and we start with something small and we’re like cool. We’ll do an audit. So I wonder if there’s some way to translate that. Like to give you? I’ll I’ll put some, maybe some notes here. So one is.
98 00:08:56.200 ⇒ 00:09:02.570 Uttam Kumaran: This is a Max. 2 week timeframe.
99 00:09:04.140 ⇒ 00:09:09.760 Uttam Kumaran: Understand what it’s like in work with us.
100 00:09:10.350 ⇒ 00:09:28.350 Uttam Kumaran: 3. It’s deliverable is a deck 3 to 6 month roadmap procurement main plan we’ll audit.
101 00:09:34.860 ⇒ 00:09:38.819 Uttam Kumaran: And so I don’t know even looking at both of these. Now, I wonder if, like
102 00:09:39.070 ⇒ 00:09:45.620 Uttam Kumaran: the AI data switcher is just on the right to.
103 00:09:46.870 ⇒ 00:09:53.689 Uttam Kumaran: We just have an audit as like a just like a general thing, or I don’t know. Maybe the AI audit and data audit can have different copy
104 00:09:58.580 ⇒ 00:10:06.429 Uttam Kumaran: and then to give you a sense of the buy. Now, so this is actually going to go. We’ll go to A, we’ll go to a basically a stripe link or something
105 00:10:06.900 ⇒ 00:10:11.460 Uttam Kumaran: purchase. So I’m we’re no longer gonna basically the the
106 00:10:12.470 ⇒ 00:10:20.070 Uttam Kumaran: for for operational reasons, it streamlines lots of stuff for me to be like, just cool. If you guys are down, just go buy it on the site, and we’re good.
107 00:10:20.400 ⇒ 00:10:21.150 Hannah Wang: Okay.
108 00:10:25.580 ⇒ 00:10:29.420 Hannah Wang: so is it even accurate to say that the 25 K. Is most popular.
109 00:10:29.420 ⇒ 00:10:30.460 Uttam Kumaran: Not really.
110 00:10:33.000 ⇒ 00:10:34.333 Hannah Wang: Well, yeah,
111 00:10:35.890 ⇒ 00:10:44.749 Hannah Wang: I’m thinking, maybe even not highlighting. The 3rd one, but even just the 1st one and saying, like, most rec like, recommended
112 00:10:45.616 ⇒ 00:10:47.000 Hannah Wang: cause. I feel like
113 00:10:48.350 ⇒ 00:10:53.950 Hannah Wang: the notion of like getting your feet wet. It’s like less intimidating than spending like 25 k.
114 00:10:53.950 ⇒ 00:10:54.380 Uttam Kumaran: Yeah.
115 00:10:55.050 ⇒ 00:10:56.560 Uttam Kumaran: I think recommended is good.
116 00:10:57.380 ⇒ 00:11:14.619 Uttam Kumaran: What you’re thinking like recommended. Because I actually, I actually want people to do that, because that that’s actually great for us. In fact, we pro for for most companies, we won’t start without that. So either way, they’re gonna end up getting that. And I do think that it’s almost like we want to highlight that more.
117 00:11:14.620 ⇒ 00:11:15.240 Hannah Wang: Yeah.
118 00:11:15.240 ⇒ 00:11:21.109 Uttam Kumaran: Cause. I don’t. We will sell the 15th if we get the audit. There’s like a very high chance we sell
119 00:11:21.310 ⇒ 00:11:22.889 Uttam Kumaran: that anyways. So.
120 00:11:23.460 ⇒ 00:11:28.229 Uttam Kumaran: I think almost, yeah. You’re right, like maybe we should flip it to be like recommended or like
121 00:11:29.450 ⇒ 00:11:38.079 Uttam Kumaran: like, if if I if I had. If I had a way to, I would be like guarantee or something right like. But I I do think you’re you’re thinking on. That is right.
122 00:11:39.890 ⇒ 00:11:45.430 Hannah Wang: Yeah, cause I was looking at the 25 K most popular. And I was like, that’s a lot of money to spend.
123 00:11:46.050 ⇒ 00:11:50.149 Hannah Wang: Say that that’s like the most popular one. It’s a bit intimidating, I think, for a lot of.
124 00:11:50.150 ⇒ 00:11:54.430 Uttam Kumaran: I think recommended is good, because I don’t think people really care.
125 00:11:54.630 ⇒ 00:11:57.219 Uttam Kumaran: Maybe that it’s like most popular.
126 00:11:57.220 ⇒ 00:11:57.790 Hannah Wang: Yeah.
127 00:11:57.790 ⇒ 00:12:00.030 Uttam Kumaran: Maybe more that like this is
128 00:12:00.490 ⇒ 00:12:02.880 Uttam Kumaran: because I actually want more people to start
129 00:12:03.350 ⇒ 00:12:11.959 Uttam Kumaran: there, cause that’s a great way to get to know us. They can buy it right there. They’re mo, most likely, because the 15 K. And 25 K.
130 00:12:12.130 ⇒ 00:12:16.218 Hannah Wang: They have to meet with, like several people on our team, and it takes a while.
131 00:12:17.360 ⇒ 00:12:21.059 Uttam Kumaran: So I, yeah, that’s a i that makes a lot of sense.
132 00:12:22.100 ⇒ 00:12:24.840 Hannah Wang: And I think keeping like the toggle is fine, like.
133 00:12:24.840 ⇒ 00:12:25.640 Uttam Kumaran: I think.
134 00:12:25.640 ⇒ 00:12:33.620 Hannah Wang: Just changing the word like AI to data. And maybe some of the check marks like it’s it’s fine. I think it’ll it makes sense
135 00:12:33.780 ⇒ 00:12:39.560 Hannah Wang: for me, at least, like the toggle, and it’s really clever. I I thought it was actually very clever, so.
136 00:12:39.760 ⇒ 00:12:42.599 Uttam Kumaran: Yeah. The only sort of nervousness I have is
137 00:12:42.920 ⇒ 00:12:46.380 Uttam Kumaran: I don’t know yet whether people will get
138 00:12:48.040 ⇒ 00:12:50.859 Uttam Kumaran: like we still haven’t nailed our positioning about
139 00:12:51.755 ⇒ 00:12:54.580 Uttam Kumaran: and I’m sure you know it’s kind of open, which is like.
140 00:12:54.920 ⇒ 00:12:56.929 Uttam Kumaran: why do we do both these things?
141 00:12:58.550 ⇒ 00:13:04.220 Uttam Kumaran: So one of the things that we we learn in our design team retro is we’re thinking more about like, how do we merge
142 00:13:04.690 ⇒ 00:13:05.020 Uttam Kumaran: true
143 00:13:05.020 ⇒ 00:13:11.749 Uttam Kumaran: brains of the company. My picture is like we should do something with like, literally, the brain have, like something around left brain, right, brain.
144 00:13:12.600 ⇒ 00:13:18.270 Uttam Kumaran: It doesn’t mean anything like this. But like, I think people are generally understand that concept.
145 00:13:19.112 ⇒ 00:13:21.657 Uttam Kumaran: Also, if you go to, there’s a site called
146 00:13:22.330 ⇒ 00:13:28.880 Uttam Kumaran: If you go to zenlytic zenlytic.com ZENL YTIC yep,
147 00:13:32.315 ⇒ 00:13:37.039 Uttam Kumaran: and if you scroll down you’ll see, like meet Zoe, the data analyst that never sleeps.
148 00:13:41.590 ⇒ 00:13:42.140 Hannah Wang: Oops.
149 00:13:42.140 ⇒ 00:13:42.480 Uttam Kumaran: See that!
150 00:13:42.480 ⇒ 00:13:43.290 Hannah Wang: Oh, yeah.
151 00:13:43.290 ⇒ 00:13:46.549 Uttam Kumaran: There’s a toggle for like data people. I’m a normal person.
152 00:13:47.430 ⇒ 00:13:47.910 Hannah Wang: And.
153 00:13:47.910 ⇒ 00:13:52.840 Uttam Kumaran: I always thought of that. I know these guys, but I always thought of that as like a good way to be like.
154 00:13:53.230 ⇒ 00:13:56.590 Uttam Kumaran: Oh, yeah, I am a data nerd, like what it actually is this.
155 00:13:56.740 ⇒ 00:14:01.516 Uttam Kumaran: And then they basically like, explain a lot of stuff.
156 00:14:03.020 ⇒ 00:14:04.040 Hannah Wang: Oh, I.
157 00:14:04.040 ⇒ 00:14:10.479 Uttam Kumaran: I don’t know. I I guess that’s a long ramble, but I’m not sure. I I do think I think having the AI. And data is is.
158 00:14:11.070 ⇒ 00:14:12.920 Uttam Kumaran: it’s fine. And maybe we
159 00:14:15.070 ⇒ 00:14:17.750 Uttam Kumaran: yeah, I mean, I think it would be a lot to.
160 00:14:18.220 ⇒ 00:14:20.659 Uttam Kumaran: But all 6 in here.
161 00:14:20.660 ⇒ 00:14:21.390 Hannah Wang: Yeah.
162 00:14:21.390 ⇒ 00:14:23.930 Uttam Kumaran: So I think, like leaving it as 2
163 00:14:24.890 ⇒ 00:14:28.440 Uttam Kumaran: is fine until we basically can think of something more cohesive.
164 00:14:29.120 ⇒ 00:14:33.770 Hannah Wang: Yeah, I feel like just getting this out the door.
165 00:14:33.770 ⇒ 00:14:34.630 Hannah Wang: Yes, yeah.
166 00:14:34.630 ⇒ 00:14:45.049 Hannah Wang: priority. And then we can think about like better way to represent the merge of AI and data AI and data. But yeah, just get out the door like, there’s no harm in that.
167 00:14:45.606 ⇒ 00:14:51.250 Hannah Wang: I I say. And I think in general like people understand, especially if they read.
168 00:14:51.700 ⇒ 00:14:55.210 Hannah Wang: or if they visit the homepage and kind of read like.
169 00:14:55.330 ⇒ 00:15:04.330 Hannah Wang: Oh, we help businesses boost revenue blah blah with data. And AI, I think that already starts to make it clear like, oh, they do both like they don’t just do one
170 00:15:05.233 ⇒ 00:15:06.560 Hannah Wang: and then
171 00:15:06.780 ⇒ 00:15:15.110 Hannah Wang: and then, if they head to like the pricing page, it’ll make sense that there’s like a toggle between the 2. So I think it’s fine for now.
172 00:15:15.220 ⇒ 00:15:16.170 Uttam Kumaran: Okay.
173 00:15:16.280 ⇒ 00:15:17.080 Hannah Wang: Yeah.
174 00:15:17.380 ⇒ 00:15:22.289 Uttam Kumaran: Okay, then let me know. And I. If if we’re good, then I can try and
175 00:15:22.550 ⇒ 00:15:26.679 Uttam Kumaran: like. Do you think this many bullets is fine? Or should we do less.
176 00:15:28.148 ⇒ 00:15:31.730 Hannah Wang: I feel like it’s okay, like a lot of
177 00:15:32.620 ⇒ 00:15:36.749 Hannah Wang: the pricing pages I’ve seen, like they have a lot of bullets.
178 00:15:40.720 ⇒ 00:15:44.270 Hannah Wang: I think it’s fine. It’s not that many, I would say.
179 00:15:44.530 ⇒ 00:15:49.000 Uttam Kumaran: Then let me go ahead and also tell you some Faqs that we’d want to populate.
180 00:15:49.460 ⇒ 00:15:54.970 Uttam Kumaran: so one is, people ask us like, do you, Price?
181 00:15:55.810 ⇒ 00:15:56.940 Uttam Kumaran: Hourly?
182 00:15:59.590 ⇒ 00:16:02.330 Uttam Kumaran: We’ll say yes.
183 00:16:03.540 ⇒ 00:16:15.220 Uttam Kumaran: However, packages are more affordable on a net hourly basis.
184 00:16:16.869 ⇒ 00:16:20.819 Uttam Kumaran: To shit. There was this really good company that had, like
185 00:16:21.880 ⇒ 00:16:25.219 Uttam Kumaran: great pricing. FAQ, hold on, let me try to find it.
186 00:17:06.260 ⇒ 00:17:10.160 Uttam Kumaran: Oh, you really can’t just like see who you follow, can you? It’s like.
187 00:17:16.579 ⇒ 00:17:17.339 Uttam Kumaran: Oh.
188 00:17:26.089 ⇒ 00:17:26.790 Uttam Kumaran: okay.
189 00:17:30.960 ⇒ 00:17:38.267 Uttam Kumaran: alright, I’ll I’ll end up finding that again some point. But let me just leave a couple here. So you, price hourly.
190 00:17:44.450 ⇒ 00:17:46.679 Uttam Kumaran: Other question people have is
191 00:19:10.200 ⇒ 00:19:13.784 Uttam Kumaran: okay. Let’s just start with these, and a couple more will come to me.
192 00:19:14.040 ⇒ 00:19:19.100 Hannah Wang: Okay, do you want those in addition to what’s already on the website?
193 00:19:19.320 ⇒ 00:19:21.139 Uttam Kumaran: No, I think we can just replace.
194 00:19:21.280 ⇒ 00:19:21.990 Hannah Wang: Okay.
195 00:19:39.170 ⇒ 00:19:42.340 Uttam Kumaran: And then that’s just wrong.
196 00:19:53.290 ⇒ 00:19:59.100 Uttam Kumaran: I guess we should think about. I guess we can put the mission here and like.
197 00:20:00.030 ⇒ 00:20:00.670 Hannah Wang: Hmm.
198 00:20:00.670 ⇒ 00:20:04.310 Uttam Kumaran: I don’t know again. This is, I think they give more cohesion across everything.
199 00:20:07.180 ⇒ 00:20:09.788 Hannah Wang: Help help your data into.
200 00:20:19.460 ⇒ 00:20:27.630 Hannah Wang: I mean the sub heading like we help businesses boost revenue blah blah like. That’s the same subheading as the home page.
201 00:20:28.680 ⇒ 00:20:31.391 Hannah Wang: which I guess is okay. I don’t know.
202 00:20:32.175 ⇒ 00:20:32.620 Uttam Kumaran: Okay.
203 00:20:35.810 ⇒ 00:20:38.070 Hannah Wang: Do you know what it was supposed to be like this.
204 00:20:38.070 ⇒ 00:20:38.820 Uttam Kumaran: Discover how we.
205 00:20:38.820 ⇒ 00:20:39.490 Hannah Wang: I don’t know.
206 00:20:39.490 ⇒ 00:20:42.430 Hannah Wang: Okay, okay.
207 00:20:45.710 ⇒ 00:20:48.439 Hannah Wang: Oh, I see, the subheading is gone here.
208 00:20:49.420 ⇒ 00:20:52.760 Hannah Wang: Okay, I like that more.
209 00:20:53.850 ⇒ 00:20:57.379 Uttam Kumaran: Should we just get rid of the sub header under pricing?
210 00:21:02.200 ⇒ 00:21:06.720 Uttam Kumaran: Or have it be like or say, choose AI or data.
211 00:21:08.100 ⇒ 00:21:17.000 Hannah Wang: How about we put the trend? Yeah, put that at the bottom here like, and then
212 00:21:17.480 ⇒ 00:21:21.150 Hannah Wang: make it more clear, like a toggle between
213 00:21:21.550 ⇒ 00:21:24.840 Hannah Wang: AI and data to see your options or something.
214 00:21:28.590 ⇒ 00:21:35.739 Hannah Wang: Yeah, cause this bottom like, discover how we can help your gotta doesn’t make sense. So.
215 00:21:35.940 ⇒ 00:21:37.150 Uttam Kumaran: I feel like.
216 00:21:37.990 ⇒ 00:21:41.479 Hannah Wang: Yeah, moving that subheading the transform your data to
217 00:21:42.150 ⇒ 00:21:47.116 Hannah Wang: to the bottom and then replacing the copy.
218 00:21:49.050 ⇒ 00:21:52.949 Uttam Kumaran: Okay. Otherwise I’m pretty happy with this. I think we should just get a version of this out, and, like
219 00:21:53.650 ⇒ 00:21:55.759 Uttam Kumaran: the rest, are nits. I feel like.
220 00:21:55.970 ⇒ 00:21:57.109 Hannah Wang: Yeah, I agree.
221 00:21:57.110 ⇒ 00:22:00.540 Uttam Kumaran: I can get you the copy for the bullets for
222 00:22:01.090 ⇒ 00:22:03.590 Uttam Kumaran: all 3 across both AI and data.
223 00:22:04.780 ⇒ 00:22:08.149 Uttam Kumaran: I mean, I could try to get it done tonight. And then
224 00:22:08.390 ⇒ 00:22:12.790 Uttam Kumaran: we can basically try to hand it to Halim, and I’ll just ask him for a timeline.
225 00:22:14.020 ⇒ 00:22:18.790 Hannah Wang: Are you? Do you have a preference? For which design
226 00:22:19.300 ⇒ 00:22:21.289 Hannah Wang: do you like option? 2 or the one.
227 00:22:21.290 ⇒ 00:22:26.849 Uttam Kumaran: I like the one on the left, but if we, if we make the AI audit like the recommended.
228 00:22:26.850 ⇒ 00:22:27.994 Hannah Wang: Yeah, yeah, yeah, yeah.
229 00:22:28.280 ⇒ 00:22:29.140 Uttam Kumaran: That’s good.
230 00:22:29.340 ⇒ 00:22:30.080 Hannah Wang: Okay.
231 00:22:30.420 ⇒ 00:22:31.230 Hannah Wang: Great.
232 00:22:37.490 ⇒ 00:22:39.690 Uttam Kumaran: Then we can do a handoff to Eileen. Basically.
233 00:22:40.140 ⇒ 00:22:45.779 Hannah Wang: Yeah, I’ll clean up all the comments and make it a little more clear for Ann, and then
234 00:22:45.940 ⇒ 00:22:48.629 Hannah Wang: she’ll probably work on it, and then we can hand it off.
235 00:22:48.810 ⇒ 00:22:49.250 Uttam Kumaran: Okay.
236 00:22:49.250 ⇒ 00:22:50.720 Hannah Wang: To haleem. Yeah.
237 00:22:54.430 ⇒ 00:22:55.260 Uttam Kumaran: Okay. Awesome.
238 00:22:58.550 ⇒ 00:23:07.660 Hannah Wang: And then I guess when I’m done with the pricing and the capabilities deck, I know you. There were like a couple more items that you handed over
239 00:23:07.930 ⇒ 00:23:09.390 Hannah Wang: to me.
240 00:23:11.480 ⇒ 00:23:13.460 Uttam Kumaran: Yeah, let’s go through. What else.
241 00:23:13.850 ⇒ 00:23:16.079 Hannah Wang: Let’s see my notion.
242 00:23:31.030 ⇒ 00:23:34.829 Hannah Wang: Think you assigned me the paging
243 00:23:35.600 ⇒ 00:23:39.210 Hannah Wang: or not paging pricing page one liner.
244 00:23:40.167 ⇒ 00:23:42.130 Hannah Wang: Sorry that made no sense. The.
245 00:23:42.455 ⇒ 00:23:42.779 Uttam Kumaran: Baby.
246 00:23:42.780 ⇒ 00:23:44.579 Hannah Wang: One pager. Yeah.
247 00:23:44.580 ⇒ 00:23:46.460 Uttam Kumaran: Is that in?
248 00:23:46.630 ⇒ 00:23:48.229 Uttam Kumaran: Did I put that in?
249 00:23:48.890 ⇒ 00:23:50.710 Uttam Kumaran: Is that in here anywhere.
250 00:23:50.710 ⇒ 00:23:53.010 Hannah Wang: It’s in sales. Asset.
251 00:23:53.230 ⇒ 00:24:00.400 Uttam Kumaran: Well, I guess, is it in a it’s not in track. I just just roughly pricing is here. Should we break this down? Or or maybe I could just put
252 00:24:00.750 ⇒ 00:24:04.990 Uttam Kumaran: pricing web page, and we can create another ticket for the one pager.
253 00:24:05.880 ⇒ 00:24:11.980 Hannah Wang: I think this ticket is the one pager and pricing page is the actual website page, like, there’s 2.
254 00:24:12.583 ⇒ 00:24:13.229 Uttam Kumaran: Okay. Okay.
255 00:24:13.230 ⇒ 00:24:14.400 Hannah Wang: I think it’s yeah
256 00:24:18.603 ⇒ 00:24:25.120 Hannah Wang: for that one for the one pager, like, what’s the status of this? It just needs like a review.
257 00:24:25.430 ⇒ 00:24:29.770 Uttam Kumaran: It. Basically, like, as soon as we are done with. Yeah, basically, it just needs a
258 00:24:29.950 ⇒ 00:24:32.800 Uttam Kumaran: like to match what we end up putting in on the.
259 00:24:32.800 ⇒ 00:24:33.270 Hannah Wang: Okay.
260 00:24:33.270 ⇒ 00:24:34.150 Uttam Kumaran: Site.
261 00:24:34.330 ⇒ 00:24:35.060 Hannah Wang: Okay.
262 00:24:35.590 ⇒ 00:24:40.490 Uttam Kumaran: And, as you can see, as you can see, it’s a lot of the same stuff as the deck.
263 00:24:40.790 ⇒ 00:24:45.370 Uttam Kumaran: so I think the copy should get less of a hassle over time.
264 00:24:45.860 ⇒ 00:24:52.329 Hannah Wang: Yeah, for one. Pagers in general. Like, Are you okay? With more text.
265 00:24:52.930 ⇒ 00:24:53.580 Uttam Kumaran: Yeah.
266 00:24:54.150 ⇒ 00:24:54.535 Hannah Wang: Okay.
267 00:24:55.620 ⇒ 00:25:00.729 Uttam Kumaran: I’m fine with more text there again. Ideally, it’s like.
268 00:25:01.090 ⇒ 00:25:05.110 Uttam Kumaran: it’s just different mediums of interaction with the same data.
269 00:25:07.530 ⇒ 00:25:09.380 Uttam Kumaran: So I think this is.
270 00:25:10.520 ⇒ 00:25:14.529 Uttam Kumaran: I think, basically, we can sort of consider pricing done
271 00:25:14.660 ⇒ 00:25:20.440 Uttam Kumaran: after we get this. So I’m gonna move this to like, yeah, design review is fine.
272 00:25:35.970 ⇒ 00:25:45.359 Hannah Wang: Then the next thing oh, is brain forge deck!
273 00:25:47.950 ⇒ 00:25:48.635 Uttam Kumaran: That’s
274 00:25:51.163 ⇒ 00:25:52.809 Hannah Wang: This is.
275 00:25:52.810 ⇒ 00:25:54.830 Uttam Kumaran: This is basically what you’re working on.
276 00:25:55.680 ⇒ 00:25:57.360 Uttam Kumaran: I’m just gonna bear with a sec.
277 00:25:57.570 ⇒ 00:25:59.670 Uttam Kumaran: I’m just gonna get rid of this. Let’s just.
278 00:25:59.670 ⇒ 00:26:00.400 Hannah Wang: Okay.
279 00:26:00.400 ⇒ 00:26:01.030 Uttam Kumaran: This.
280 00:26:01.840 ⇒ 00:26:03.583 Uttam Kumaran: Let’s just start with.
281 00:26:04.510 ⇒ 00:26:08.230 Uttam Kumaran: Let’s just start with. Let’s just keep a deck we’re working on. This is fine.
282 00:26:08.540 ⇒ 00:26:09.290 Hannah Wang: Okay.
283 00:26:28.700 ⇒ 00:26:30.819 Uttam Kumaran: yeah, these are all one features.
284 00:26:48.070 ⇒ 00:26:51.637 Uttam Kumaran: Again, I think a lot of these we can work on once the deck is done.
285 00:26:51.970 ⇒ 00:26:54.539 Uttam Kumaran: But they’re these aren’t like very high priority.
286 00:26:54.940 ⇒ 00:26:55.620 Hannah Wang: Okay.
287 00:27:41.090 ⇒ 00:27:46.319 Uttam Kumaran: Yeah, I mean from my angle, I still think that we can do a better job
288 00:27:46.500 ⇒ 00:27:48.439 Uttam Kumaran: with the services on the page.
289 00:27:49.250 ⇒ 00:27:51.040 Uttam Kumaran: with the services on the website.
290 00:27:52.150 ⇒ 00:27:53.020 Hannah Wang: I see.
291 00:28:00.440 ⇒ 00:28:09.269 Hannah Wang: like each like not the overview page right? But like each service.
292 00:28:09.270 ⇒ 00:28:09.839 Uttam Kumaran: Thanks, sir.
293 00:28:09.840 ⇒ 00:28:11.810 Hannah Wang: Can you click, learn more? Okay.
294 00:28:12.150 ⇒ 00:28:16.610 Uttam Kumaran: I still think that these can be like it’s so much white space.
295 00:28:19.840 ⇒ 00:28:20.275 Hannah Wang: Hmm.
296 00:28:21.510 ⇒ 00:28:27.839 Uttam Kumaran: Like, basically, it should just look like a deck where we have, like the different things we do right.
297 00:28:33.150 ⇒ 00:28:39.439 Hannah Wang: I mean it essentially is. But each subtopic is its own section.
298 00:28:39.870 ⇒ 00:28:46.080 Uttam Kumaran: Yeah, like this, the core services page makes sense.
299 00:28:46.460 ⇒ 00:28:47.180 Hannah Wang: Yeah.
300 00:28:47.180 ⇒ 00:28:50.230 Uttam Kumaran: I still think when you go to data engineering and you open it.
301 00:28:52.900 ⇒ 00:28:58.260 Uttam Kumaran: it’s a lot of text still. And like, we’re, we’re not using the space wisely
302 00:29:00.890 ⇒ 00:29:06.059 Uttam Kumaran: like I could, I could. I think this could literally just be like condensed a lot more.
303 00:29:19.200 ⇒ 00:29:22.329 Hannah Wang: Do you have, like an example from another.
304 00:29:22.620 ⇒ 00:29:24.689 Uttam Kumaran: Agency or company like.
305 00:30:05.060 ⇒ 00:30:06.129 Uttam Kumaran: I’ll send it in slack.
306 00:30:06.860 ⇒ 00:30:07.530 Hannah Wang: Okay.
307 00:30:38.210 ⇒ 00:30:39.215 Uttam Kumaran: We should do
308 00:30:40.330 ⇒ 00:30:43.590 Uttam Kumaran: We should do something once a week like Inspo Review, or something, because
309 00:30:43.880 ⇒ 00:30:46.360 Uttam Kumaran: I usually just spam it to the channel, but, like
310 00:30:49.120 ⇒ 00:30:53.979 Uttam Kumaran: I have a lot of competitors in my brain that we could go look at. Bellier is a good one.
311 00:30:54.530 ⇒ 00:30:54.925 Hannah Wang: Hmm.
312 00:31:31.930 ⇒ 00:31:37.540 Hannah Wang: and yeah, I like the second one you sent.
313 00:31:42.530 ⇒ 00:31:46.320 Uttam Kumaran: Some of these are some of the. Some of these ones are not good, but
314 00:32:26.590 ⇒ 00:32:27.770 Uttam Kumaran: this one is good.
315 00:32:55.120 ⇒ 00:32:55.860 Hannah Wang: Yeah.
316 00:33:13.590 ⇒ 00:33:16.679 Hannah Wang: yeah, I like the last one you sent.
317 00:33:26.610 ⇒ 00:33:38.230 Hannah Wang: Is there like a ticket for like revamping the services pages or.
318 00:33:38.230 ⇒ 00:33:41.129 Uttam Kumaran: There is not, but I am happy to make one.
319 00:33:42.410 ⇒ 00:33:45.880 Hannah Wang: Yeah, if that’s what you want to prioritize.
320 00:33:46.992 ⇒ 00:33:54.830 Hannah Wang: I can start working on that next and just thinking of how to make it a little better.
321 00:33:54.830 ⇒ 00:34:01.449 Uttam Kumaran: I think I think I have something, even maybe before that, that’s probably better. We want to start to.
322 00:34:02.610 ⇒ 00:34:09.590 Uttam Kumaran: We want to start to create a deck that we can use for our client for like mid engagement, client presentations.
323 00:34:12.080 ⇒ 00:34:16.110 Uttam Kumaran: I think that that way we can kind of close out a lot of deck work like all at once.
324 00:34:21.460 ⇒ 00:34:24.142 Uttam Kumaran: This one can be text heavy.
325 00:35:04.800 ⇒ 00:35:07.029 Uttam Kumaran: and I’m gonna send a couple of examples.
326 00:35:34.980 ⇒ 00:35:38.260 Uttam Kumaran: So this is probably where we would use some of the slides.
327 00:35:40.330 ⇒ 00:35:42.060 Uttam Kumaran: At the end of the
328 00:35:43.070 ⇒ 00:35:49.319 Uttam Kumaran: at the end of the current brainforce capabilities deck for those tables we could probably use.
329 00:36:00.360 ⇒ 00:36:05.209 Uttam Kumaran: The other thing is Robert sort of. He was like, maybe we should just do this in Google slides.
330 00:36:06.320 ⇒ 00:36:07.899 Uttam Kumaran: Now, I’m kind of like
331 00:36:09.480 ⇒ 00:36:20.829 Uttam Kumaran: I can push towards keeping in a figma. But then it just the problem with this one is this, one is gonna get created many times. So if it isn’t figma, we just have to, it just has to be very easy for
332 00:36:21.090 ⇒ 00:36:25.650 Uttam Kumaran: non designers, and me to edit like.
333 00:36:25.650 ⇒ 00:36:26.690 Hannah Wang: So.
334 00:36:26.810 ⇒ 00:36:28.139 Hannah Wang: So that’s the.
335 00:36:29.360 ⇒ 00:36:30.709 Uttam Kumaran: That’s the problem.
336 00:36:33.498 ⇒ 00:36:37.551 Hannah Wang: I mean, Google slides is not really easy to use, but
337 00:36:38.950 ⇒ 00:36:42.240 Hannah Wang: or at least like making things pretty. I mean, obviously.
338 00:36:42.240 ⇒ 00:36:42.660 Uttam Kumaran: Exactly.
339 00:36:42.660 ⇒ 00:36:44.879 Hannah Wang: Is best for that, but.
340 00:36:44.880 ⇒ 00:36:50.209 Uttam Kumaran: I mean, if we can like, for example, if you take a look at like wanna, take a look at like any of those decks that we sent.
341 00:36:50.360 ⇒ 00:36:50.990 Hannah Wang: Yeah.
342 00:36:52.090 ⇒ 00:36:54.029 Uttam Kumaran: Most of these are just tables.
343 00:36:54.490 ⇒ 00:36:55.309 Uttam Kumaran: Yeah. So
344 00:36:55.310 ⇒ 00:37:01.280 Uttam Kumaran: as long as like, the tables are easy to update, like, and we can train like Robert on it.
345 00:37:01.390 ⇒ 00:37:03.209 Uttam Kumaran: Then there’s no problem.
346 00:37:19.620 ⇒ 00:37:23.800 Hannah Wang: I don’t know how much, Sigma he knows. I don’t think he knows that much, but.
347 00:37:24.720 ⇒ 00:37:29.780 Uttam Kumaran: I think he can work with Sigma slides. It just has to be like very easy to edit.
348 00:37:30.290 ⇒ 00:37:31.160 Hannah Wang: Yeah.
349 00:37:31.640 ⇒ 00:37:32.700 Uttam Kumaran: You know what I mean?
350 00:37:34.190 ⇒ 00:37:37.189 Uttam Kumaran: Meaning, if it’s just editing text in a table, I think it’s fine.
351 00:37:37.830 ⇒ 00:37:38.500 Hannah Wang: Yeah.
352 00:37:42.210 ⇒ 00:37:48.040 Hannah Wang: I think it should be okay. As long as we have, like the structured
353 00:37:48.180 ⇒ 00:37:55.529 Hannah Wang: down in terms of like wrapping the text and making sure it doesn’t get all funky, depending on how much text there is.
354 00:37:55.670 ⇒ 00:37:56.300 Uttam Kumaran: Yeah.
355 00:37:57.430 ⇒ 00:38:04.530 Uttam Kumaran: Other. The worst case is we could
356 00:38:05.100 ⇒ 00:38:10.280 Uttam Kumaran: implement it in Google slides with just like, and bring in a couple of the slides.
357 00:38:14.020 ⇒ 00:38:17.639 Uttam Kumaran: Like, bring in the right fonts and stuff like that and just have it in Google slides.
358 00:38:20.800 ⇒ 00:38:22.840 Uttam Kumaran: Cause if we get the background right?
359 00:38:23.210 ⇒ 00:38:24.679 Uttam Kumaran: Yeah, the text.
360 00:38:24.680 ⇒ 00:38:26.100 Hannah Wang: Yeah.
361 00:38:30.710 ⇒ 00:38:31.109 Uttam Kumaran: I mean.
362 00:38:31.110 ⇒ 00:38:33.689 Hannah Wang: I mean, it’s not hard to replicate what we have in
363 00:38:34.620 ⇒ 00:38:43.969 Hannah Wang: like. If it’s gonna be just like tables and stuff, it’s not that hard to replicate in Google slides. I think, like you said, just get the font, the text color
364 00:38:44.180 ⇒ 00:38:45.200 Hannah Wang: background color.
365 00:38:45.200 ⇒ 00:38:51.140 Uttam Kumaran: I wanna try that. I honestly, now that I think about it, I feel like you’re right where there’s gonna be times where the text doesn’t wrap or like.
366 00:38:52.240 ⇒ 00:38:54.859 Uttam Kumaran: and it’s gonna be such a panic because
367 00:38:55.070 ⇒ 00:38:57.160 Uttam Kumaran: these always get done last minute.
368 00:38:57.340 ⇒ 00:39:05.839 Hannah Wang: I see? Yeah, if you can, maybe you can create a ticket for me. And I can make like a template in Google slides.
369 00:39:06.010 ⇒ 00:39:06.840 Uttam Kumaran: Yeah.
370 00:39:16.384 ⇒ 00:39:22.920 Uttam Kumaran: additionally, like, one thing that we could be helpful is replicating one of these, one of the ones I linked in this ticket
371 00:39:23.130 ⇒ 00:39:27.250 Uttam Kumaran: in the new version, because that’ll give us like before and after to be like
372 00:39:29.570 ⇒ 00:39:35.450 Uttam Kumaran: I mean, you don’t have to real quick every slide, but like there’s a couple of slide types where it’s like a double image, triple image
373 00:39:35.790 ⇒ 00:39:36.900 Uttam Kumaran: table.
374 00:39:42.020 ⇒ 00:39:45.519 Hannah Wang: Sorry could you send me the ticket link that you’re referring to.
375 00:39:45.520 ⇒ 00:39:48.229 Uttam Kumaran: It’s the. It’s the one that if you’re in the oh, I see.
376 00:39:48.230 ⇒ 00:39:50.010 Uttam Kumaran: overview is just the one at the top. Yeah.
377 00:39:50.010 ⇒ 00:39:50.940 Hannah Wang: Yeah, I see it.
378 00:39:55.060 ⇒ 00:39:56.190 Hannah Wang: Yeah.
379 00:39:58.060 ⇒ 00:39:59.980 Uttam Kumaran: And we cause, like, yeah, yeah.
380 00:40:00.380 ⇒ 00:40:01.950 Hannah Wang: Yeah, I think that.
381 00:40:01.950 ⇒ 00:40:07.490 Uttam Kumaran: After after a while we will have enough bandwidth to do these and figma slides. But
382 00:40:08.690 ⇒ 00:40:10.559 Uttam Kumaran: just in the meantime.
383 00:40:11.740 ⇒ 00:40:15.769 Hannah Wang: And Ann already kind of replicated, some of them right in the.
384 00:40:15.770 ⇒ 00:40:20.879 Uttam Kumaran: Yeah. So the task I gave to her was like everything. So some of those exist at the end.
385 00:40:20.880 ⇒ 00:40:21.970 Hannah Wang: Yeah, I see it.
386 00:40:23.570 ⇒ 00:40:30.130 Hannah Wang: Okay, I can work on transferring it over or just basically creating like a template for
387 00:40:31.050 ⇒ 00:40:36.160 Hannah Wang: future use cases for this these kinds of decks.
388 00:40:38.500 ⇒ 00:40:42.549 Uttam Kumaran: Yeah, I think while we’re in deck zone, I think it’s just maybe good to close that out.
389 00:40:42.880 ⇒ 00:40:43.620 Hannah Wang: Yeah.
390 00:40:43.620 ⇒ 00:40:47.790 Uttam Kumaran: Like, I basically don’t want to talk about decks for a while.
391 00:40:49.720 ⇒ 00:40:50.330 Hannah Wang: Yeah.
392 00:40:50.820 ⇒ 00:41:00.519 Uttam Kumaran: So, and the main decks we do is we do capabilities, Deck, and we present this deck to clients at the end of the audit or during an engagement.
393 00:41:00.650 ⇒ 00:41:03.680 Uttam Kumaran: I think the only other deck we may need is like
394 00:41:03.790 ⇒ 00:41:08.120 Uttam Kumaran: a focus deck on a given service.
395 00:41:09.335 ⇒ 00:41:14.690 Uttam Kumaran: Like we just have like a thing about data. But for now that’s we don’t need that.
396 00:41:14.990 ⇒ 00:41:15.760 Hannah Wang: Okay.
397 00:41:20.340 ⇒ 00:41:23.760 Hannah Wang: yeah, that’s no problem. I can try working on it.
398 00:41:41.710 ⇒ 00:41:42.490 Uttam Kumaran: Okay.
399 00:41:42.750 ⇒ 00:41:43.590 Uttam Kumaran: Cool.
400 00:41:44.880 ⇒ 00:41:47.128 Hannah Wang: Yeah, that’s all for my my stuff.
401 00:41:47.410 ⇒ 00:41:53.059 Uttam Kumaran: Okay, yeah. Good. Thanks for reminding me that like we should get this shit out. Cause that’s right.
402 00:41:53.940 ⇒ 00:41:56.069 Uttam Kumaran: That’s a good reminder. So.
403 00:41:56.880 ⇒ 00:42:04.180 Hannah Wang: I feel like some of the tickets they were created so long ago, and some of the comments were from like weeks ago. I was like, Oh, you should just get this out at this point, and then review.
404 00:42:04.180 ⇒ 00:42:08.009 Uttam Kumaran: You’re totally right. You’re totally right, like, just keep saying that.
405 00:42:08.728 ⇒ 00:42:12.790 Uttam Kumaran: It’ll be much easier to put this on the site. And then.
406 00:42:13.110 ⇒ 00:42:16.330 Uttam Kumaran: after we like one thing that I think also have.
407 00:42:17.130 ⇒ 00:42:28.299 Uttam Kumaran: I’ll make a ticket for this in the backlog. But we do. We have post hog implemented for analytics on the site. We just aren’t using any of it yet. We will probably start to use this as part of the Okr measurements.
408 00:42:28.300 ⇒ 00:42:28.760 Hannah Wang: Yeah.
409 00:42:28.760 ⇒ 00:42:30.405 Uttam Kumaran: Looking at what people are clicking on.
410 00:42:33.120 ⇒ 00:42:35.790 Uttam Kumaran: So yeah, I’m just gonna
411 00:42:36.490 ⇒ 00:42:41.200 Uttam Kumaran: I’m just gonna maybe I’ll just create one ticket that’s like implement. Heat map on the pricing page.
412 00:42:41.540 ⇒ 00:42:42.260 Hannah Wang: Hmm.
413 00:42:42.260 ⇒ 00:42:46.850 Uttam Kumaran: That way, we can just at least start to see some data.
414 00:43:16.640 ⇒ 00:43:17.530 Uttam Kumaran: Okay.
415 00:43:19.650 ⇒ 00:43:21.290 Hannah Wang: That was helpful. Thank you. Yeah.
416 00:43:21.290 ⇒ 00:43:23.959 Uttam Kumaran: Yeah, no problem. And don’t worry about pinging me like
417 00:43:24.140 ⇒ 00:43:29.140 Uttam Kumaran: one day one day I’ll tell everyone to stop. But like it’s no problem at all like I.
418 00:43:29.140 ⇒ 00:43:29.660 Hannah Wang: Okay.
419 00:43:29.660 ⇒ 00:43:38.530 Uttam Kumaran: When you have a thought you should get it. I think only expectation I don’t want to create is that you get an answer immediately. I actually don’t actually, rather, people just send stuff
420 00:43:39.065 ⇒ 00:43:40.990 Uttam Kumaran: because it’s kind of hard to batch.
421 00:43:41.090 ⇒ 00:43:42.489 Uttam Kumaran: But I do think that
422 00:43:43.200 ⇒ 00:43:50.110 Uttam Kumaran: the nice thing is like these types of meetings I could do where it’s I could go in and get feedback and stuff like that. These will get shorter as like
423 00:43:51.000 ⇒ 00:43:55.209 Uttam Kumaran: you start to get the hang of like what the general vibe is so.
424 00:43:55.210 ⇒ 00:44:02.220 Hannah Wang: Yeah, yeah, these meetings were helpful, and I’m good at spamming through slack.
425 00:44:02.649 ⇒ 00:44:04.616 Uttam Kumaran: Yeah, don’t worry about that.
426 00:44:07.230 ⇒ 00:44:11.690 Uttam Kumaran: Okay, cool, Ryan. Do we want to talk about any content stuff.
427 00:44:13.140 ⇒ 00:44:20.460 Ryan Brisas: Yeah, so for the content side so we want to like take like
428 00:44:20.620 ⇒ 00:44:26.800 Ryan Brisas: what they call this. But then the the release of like deep seat. We want to like.
429 00:44:26.880 ⇒ 00:44:51.979 Ryan Brisas: take advantage of the hype. We want to like, release some opinion and like release some articles that, you know, comparing deep like the car, one to open AI or one and other stuff like the one you sent yesterday. The snowflakes. We? We want to implement like implement, like a reaction blog post type of those
430 00:44:52.170 ⇒ 00:44:54.710 Ryan Brisas: and build that as a content. Also.
431 00:44:55.227 ⇒ 00:44:58.330 Ryan Brisas: Let me share my screen. So I can.
432 00:45:00.504 ⇒ 00:45:06.415 Ryan Brisas: Okay. So for the tool review, as we, I already have, like
433 00:45:07.510 ⇒ 00:45:17.219 Ryan Brisas: like an access to the the new function of open AI. So I already like created this like
434 00:45:17.830 ⇒ 00:45:24.201 Ryan Brisas: before. So included here like some
435 00:45:25.180 ⇒ 00:45:26.409 Ryan Brisas: some what do you call.
436 00:45:26.410 ⇒ 00:45:27.250 Uttam Kumaran: Nice.
437 00:45:28.460 ⇒ 00:45:29.890 Ryan Brisas: When the
438 00:45:30.590 ⇒ 00:45:43.089 Ryan Brisas: some backup information, because some of those is, you know, they didn’t really include like, it’s only it’s only like included on on us. But it’s typically
439 00:45:44.161 ⇒ 00:45:54.600 Ryan Brisas: it’s on pro sub subscriber or blue pro user. So I included this as as a backup for this.
440 00:45:55.095 ⇒ 00:46:13.769 Ryan Brisas: This is available to reflect from here. And also, like I included here the deep research. It’s it’s on here like I conducted research to determine which is better. And yeah, included the the new process of the deep research here.
441 00:46:14.378 ⇒ 00:46:22.052 Ryan Brisas: I think. This is going to be more likely. I’m going to do, which is more of like exploring
442 00:46:23.190 ⇒ 00:46:25.600 Ryan Brisas: open source tools.
443 00:46:25.830 ⇒ 00:46:32.130 Ryan Brisas: and more likely tools that I use on on the daily basis, which is like
444 00:46:32.520 ⇒ 00:46:38.820 Ryan Brisas: open AI, or you know, like in the local other lamp, like Deep seat.
445 00:46:39.020 ⇒ 00:46:46.310 Ryan Brisas: And for the the call history option
446 00:46:47.136 ⇒ 00:46:51.199 Ryan Brisas: this is I will just send this for like
447 00:46:51.854 ⇒ 00:46:56.630 Ryan Brisas: your approval. This is I already like, send this on.
448 00:46:57.100 ⇒ 00:46:59.689 Ryan Brisas: Okay, that’s quick.
449 00:47:00.850 ⇒ 00:47:06.710 Ryan Brisas: And I’ll be posting this tomorrow if it’s if it’s approved or.
450 00:47:06.890 ⇒ 00:47:07.340 Uttam Kumaran: Okay.
451 00:47:08.280 ⇒ 00:47:08.810 Ryan Brisas: Yeah.
452 00:47:08.810 ⇒ 00:47:10.909 Uttam Kumaran: Let’s let’s let’s just post it. We’re good.
453 00:47:11.750 ⇒ 00:47:16.629 Ryan Brisas: Yeah. Yeah. Then, what else
454 00:47:16.760 ⇒ 00:47:21.510 Ryan Brisas: for? As I said, as I stated that you want to like.
455 00:47:22.040 ⇒ 00:47:38.909 Ryan Brisas: take advantage of the AI news, more likely, and like producing like informational blog post, as we are wanting to improve like our authority score on on semrush or or later on our SEO.
456 00:47:39.324 ⇒ 00:48:02.220 Ryan Brisas: Yeah, I think that’s 1 way to improve the authority score is much more like posting, like the most essential information like, you know, what is data analytics? What is data? What is data engineering? That’s 1 thing that I will implement on the content. While you know, taking advantage of the you know the
457 00:48:02.250 ⇒ 00:48:03.770 Ryan Brisas: your reaction post.
458 00:48:04.349 ⇒ 00:48:12.650 Ryan Brisas: Yeah, I think that’s my my approach here for the data for the SEO also.
459 00:48:13.415 ⇒ 00:48:22.540 Ryan Brisas: I think that’s all for the also. I think I’ll be sharing this, too.
460 00:48:22.940 ⇒ 00:48:40.569 Ryan Brisas: for us, you stated. That’s last Friday that we want to like. Look like as as a big company, or competing with the big brand as we want to. Also implement visual storytelling to our content.
461 00:48:40.720 ⇒ 00:48:41.050 Uttam Kumaran: Good.
462 00:48:41.701 ⇒ 00:48:44.960 Ryan Brisas: As you call it, this
463 00:48:45.100 ⇒ 00:48:47.610 Ryan Brisas: us our content kind of like
464 00:48:48.683 ⇒ 00:48:52.389 Ryan Brisas: on in, on Instagram we send a like.
465 00:48:53.440 ⇒ 00:49:07.287 Ryan Brisas: not a large portion, but with, with, you know, good visual with good story, visual storytelling that I think it would be a good, you know. Approach to, you know
466 00:49:07.840 ⇒ 00:49:10.619 Ryan Brisas: for our Instagram cars like us.
467 00:49:11.399 ⇒ 00:49:20.240 Ryan Brisas: Yeah, I’ll be working on this to implement this on our content. Cadence.
468 00:49:21.340 ⇒ 00:49:33.190 Ryan Brisas: also, I’m just going to request some, you know a lead magnet. So we can, you know. Get some leads also to our newsletter. I think that’s all for
469 00:49:33.560 ⇒ 00:49:37.925 Ryan Brisas: the implementation, for you know, increasing our quality.
470 00:49:39.820 ⇒ 00:49:51.490 Ryan Brisas: and yeah, I think that’s all. Most of the content strategy that I will be pushing or you know. Proposing is this, it will be
471 00:49:52.400 ⇒ 00:50:01.450 Ryan Brisas: noted on here in the strategy section. I feel like dropping this one by one, but you know, and we are progressing each
472 00:50:01.580 ⇒ 00:50:07.449 Ryan Brisas: month, or, you know, day by day. Yeah, I think that’s all on the content side.
473 00:50:09.390 ⇒ 00:50:13.435 Uttam Kumaran: So 2 things, one, I wanna get the announcement out
474 00:50:13.840 ⇒ 00:50:14.520 Ryan Brisas: Yeah.
475 00:50:15.190 ⇒ 00:50:17.659 Uttam Kumaran: So is, everything is ready on your side, right.
476 00:50:19.662 ⇒ 00:50:25.217 Ryan Brisas: Yeah, I’m already like sent the announcement. I think you already like
477 00:50:25.680 ⇒ 00:50:29.840 Uttam Kumaran: I approved. I was just waiting for Robert to approve, so I’ll keep pushing on that.
478 00:50:30.480 ⇒ 00:50:32.500 Uttam Kumaran: And then, yeah, I want.
479 00:50:33.220 ⇒ 00:50:34.787 Uttam Kumaran: Let’s see if, like
480 00:50:35.720 ⇒ 00:50:40.629 Uttam Kumaran: I need another week or 2 to basically start to move. I’m moving a lot of stuff off my plate
481 00:50:40.870 ⇒ 00:50:42.600 Uttam Kumaran: in the next 2 weeks.
482 00:50:42.710 ⇒ 00:50:47.419 Uttam Kumaran: so it may be a little bit longer before I can start posting from my personal account.
483 00:50:48.086 ⇒ 00:50:56.060 Uttam Kumaran: But this week, as soon as you post, go ahead and just post all your content, like I think, I’ll review as I can, but
484 00:50:56.460 ⇒ 00:51:00.705 Uttam Kumaran: I feel like your your editing process is getting pretty good, so
485 00:51:02.970 ⇒ 00:51:05.810 Uttam Kumaran: just feel free to move forward, and I’ll repost everything.
486 00:51:07.080 ⇒ 00:51:10.309 Ryan Brisas: Yeah, yeah, I’m looking forward for that also. Yeah. The.
487 00:51:10.440 ⇒ 00:51:17.589 Ryan Brisas: As for the I think the 3 of you. I think. Connor, you and
488 00:51:19.220 ⇒ 00:51:19.900 Ryan Brisas: Robert.
489 00:51:20.415 ⇒ 00:51:32.524 Ryan Brisas: I think we need to have like a specific banner that specialize on, you know. As you are the front of the company. I think I already like sent this to you.
490 00:51:34.310 ⇒ 00:51:48.949 Ryan Brisas: like, we want to like on our web on our website. We can also like implement this on our website. As we are on the, we are on like, like, giving the data insight, I guess.
491 00:51:49.060 ⇒ 00:51:52.200 Ryan Brisas: But we want, if we will want to, you know, on like.
492 00:51:52.430 ⇒ 00:51:59.699 Ryan Brisas: renew our pipeline, that you can use this as also, and also with I I
493 00:52:00.140 ⇒ 00:52:05.030 Ryan Brisas: I wrote this one liner like a
494 00:52:05.620 ⇒ 00:52:11.900 Ryan Brisas: you can also see here. And also we can update our banner to, you know, up to
495 00:52:12.640 ⇒ 00:52:15.829 Ryan Brisas: to to more, on, like
496 00:52:16.220 ⇒ 00:52:21.390 Ryan Brisas: to more specific. Like, if we have like a bit mad, it’s already like
497 00:52:22.850 ⇒ 00:52:29.340 Ryan Brisas: it kinda indicated here. So I think it’s already here, so you can check with if you want.
498 00:52:31.870 ⇒ 00:52:32.500 Uttam Kumaran: Okay.
499 00:52:35.900 ⇒ 00:52:45.350 Uttam Kumaran: okay, cool. So just send me anything you need to review. Otherwise I’m pretty. I I feel like I just scan those posts like, go ahead, just send it to me as soon as you post, and I’ll repost it with the with a comment.
500 00:52:47.860 ⇒ 00:52:49.490 Ryan Brisas: Yeah, looking forward to that.
501 00:52:52.180 ⇒ 00:52:55.970 Uttam Kumaran: Okay, guys, I’ll be on for a bit longer. So just message me, if anything.
502 00:52:56.890 ⇒ 00:53:03.130 Uttam Kumaran: But yeah, we have the. We have the design team meeting tomorrow I
503 00:53:03.950 ⇒ 00:53:05.860 Uttam Kumaran: should be able to make it.
504 00:53:07.940 ⇒ 00:53:16.800 Uttam Kumaran: Let’s see, I don’t want to miss the 1st one, but we literally we me and Robert in a meeting every Tuesday and Thursday from 10 to noon.
505 00:53:17.242 ⇒ 00:53:30.389 Uttam Kumaran: central. And that’s like exactly the period of time where everybody is kind of open. So I’m gonna try and come for the. I’m just gonna come to the design meeting for the 1st 15 min, and then I’ll probably leave you guys to meet.
506 00:53:32.490 ⇒ 00:53:40.180 Hannah Wang: I mean, I’m also okay. If we push it earlier, my time like to my time. So that’d be your 9, 30.
507 00:53:40.180 ⇒ 00:53:40.739 Uttam Kumaran: Are you sure.
508 00:53:41.140 ⇒ 00:53:47.150 Hannah Wang: Because I already made it to the 7 Am. One or the 9 Am. One.
509 00:53:47.860 ⇒ 00:53:52.750 Hannah Wang: The weekly weekly kick off meeting already made it to that. I kind of just rolled out of bed and popped on.
510 00:53:52.750 ⇒ 00:53:56.240 Uttam Kumaran: Fine. You don’t need this. We you don’t need to be video on or anything.
511 00:53:56.920 ⇒ 00:54:01.910 Uttam Kumaran: So like, if you’re okay with it. That would make me very happy.
512 00:54:01.910 ⇒ 00:54:06.780 Hannah Wang: Yeah, yeah, I I get up around like 6 40, anyway. So I’ll be on yeah.
513 00:54:07.070 ⇒ 00:54:12.980 Uttam Kumaran: I know it’s tough to just like go right to work so like, feel free to just like come to that. And then like
514 00:54:13.180 ⇒ 00:54:14.200 Uttam Kumaran: not work for everybody.
515 00:54:15.430 ⇒ 00:54:16.610 Uttam Kumaran: Go back to sleep.
516 00:54:17.190 ⇒ 00:54:19.529 Uttam Kumaran: It’s like what I used to do like. I used to.
517 00:54:19.530 ⇒ 00:54:19.880 Hannah Wang: Yeah.
518 00:54:19.880 ⇒ 00:54:23.100 Uttam Kumaran: Like, no updates go back to that.
519 00:54:23.100 ⇒ 00:54:24.790 Hannah Wang: Yeah, I feel that.
520 00:54:26.180 ⇒ 00:54:28.729 Hannah Wang: Yeah, I have no problem pushing it earlier.
521 00:54:28.920 ⇒ 00:54:29.600 Hannah Wang: Yeah.
522 00:54:34.130 ⇒ 00:54:37.410 Uttam Kumaran: Okay, awesome. Well, thank you. Guys. We’ll try and slack.
523 00:54:38.060 ⇒ 00:54:39.149 Ryan Brisas: Yeah, thank you.
524 00:54:39.150 ⇒ 00:54:39.690 Ryan Brisas: Hello.