Meeting Title: Design Reviews Date: 2025-05-05 Meeting participants: Uttam Kumaran, Hannah Wang
WEBVTT
1 00:01:51.890 ⇒ 00:01:52.870 Hannah Wang: Hello!
2 00:02:12.110 ⇒ 00:02:13.140 Uttam Kumaran: Hello!
3 00:02:14.100 ⇒ 00:02:15.770 Uttam Kumaran: I was just talking to myself.
4 00:02:15.960 ⇒ 00:02:17.399 Hannah Wang: Oh, no worries.
5 00:02:18.030 ⇒ 00:02:24.040 Uttam Kumaran: I said, I said, usually Mondays are like hell, but today was only like medium roast, so I’m not bad.
6 00:02:24.040 ⇒ 00:02:31.620 Hannah Wang: Okay, we’re getting there offloading your your busy schedule.
7 00:02:31.730 ⇒ 00:02:32.390 Uttam Kumaran: Hmm.
8 00:02:34.630 ⇒ 00:02:39.229 Hannah Wang: Okay. Yeah. Today, I mean.
9 00:02:40.430 ⇒ 00:02:43.240 Hannah Wang: yeah, we can just go over.
10 00:02:44.170 ⇒ 00:02:51.259 Hannah Wang: I mean, I’m pretty sure you’re sick of looking at the landing pages. I feel like for those. We can just
11 00:02:52.090 ⇒ 00:02:59.559 Hannah Wang: make it on webflow and change the copy as needed. I don’t think it’s
12 00:02:59.690 ⇒ 00:03:02.839 Hannah Wang: it’s not difficult to do that. So
13 00:03:03.837 ⇒ 00:03:07.779 Hannah Wang: do you have a preference for
14 00:03:08.130 ⇒ 00:03:15.500 Hannah Wang: if you want to look at the landing page work, I basically just moved everything from needs review to final the column.
15 00:03:15.660 ⇒ 00:03:21.709 Hannah Wang: And I’m just like people can just design the page. And then we can fix the copy later.
16 00:03:21.860 ⇒ 00:03:22.890 Hannah Wang: What do you think.
17 00:03:23.590 ⇒ 00:03:25.279 Uttam Kumaran: Okay, I’m fine with that.
18 00:03:25.970 ⇒ 00:03:31.490 Hannah Wang: Okay, then, today, the only thing that
19 00:03:32.060 ⇒ 00:03:40.290 Hannah Wang: we need to go over is the tool diagram kit, comparison
20 00:03:40.420 ⇒ 00:03:43.539 Hannah Wang: chart thing. So let me share my screen.
21 00:03:51.480 ⇒ 00:03:59.680 Hannah Wang: Okay of this one. So yeah, I.
22 00:04:08.420 ⇒ 00:04:15.440 Hannah Wang: So yeah, last kind of reviews that you made. You’re still debating this column. And then
23 00:04:17.029 ⇒ 00:04:24.389 Hannah Wang: I’m trying to come up with a good name for this, the second column here. And then basically, I need.
24 00:04:27.720 ⇒ 00:04:30.644 Hannah Wang: I guess, these categories here.
25 00:04:31.650 ⇒ 00:04:36.140 Hannah Wang: and I also saw your comment about like Brain Forge versus competitors.
26 00:04:36.620 ⇒ 00:04:39.260 Uttam Kumaran: Yeah, I think that could be a separate thing.
27 00:04:39.260 ⇒ 00:04:43.799 Hannah Wang: Yeah, I added that as a ticket into notion, so we can tackle that whenever
28 00:04:44.050 ⇒ 00:04:46.940 Hannah Wang: we bring it into the cycle. But
29 00:04:47.250 ⇒ 00:04:57.540 Hannah Wang: yeah, I guess the main thing that I need is kind of these tools. Here. I I did my best and guessed slash. Use AI to group it, but if there’s other
30 00:04:57.940 ⇒ 00:05:04.000 Hannah Wang: tools or categories like, let me know, and then I can start making the pages for these.
31 00:05:06.150 ⇒ 00:05:08.350 Uttam Kumaran: Okay, let me just pull this up on my end.
32 00:05:46.960 ⇒ 00:05:47.930 Uttam Kumaran: Okay.
33 00:06:05.090 ⇒ 00:06:14.689 Uttam Kumaran: so I almost maybe we should do a star. And then like a star, or they should do like a B, and then a B with a circle around like maybe it should be like one or 2 levels.
34 00:06:18.040 ⇒ 00:06:19.150 Hannah Wang: Do you like
35 00:06:19.520 ⇒ 00:06:28.869 Uttam Kumaran: Kind of see what I mean, because I guess, like pricing advantage is like even better than just approved.
36 00:06:30.810 ⇒ 00:06:36.769 Uttam Kumaran: Right. So like. I wonder if it should be like it should be like
37 00:06:38.640 ⇒ 00:06:40.410 Uttam Kumaran: like, I don’t know. It’s like
38 00:06:40.680 ⇒ 00:06:44.089 Uttam Kumaran: chevron with Techron. You know what I mean. Like.
39 00:06:45.030 ⇒ 00:06:49.070 Hannah Wang: Right like 2 icons versus.
40 00:06:49.070 ⇒ 00:06:49.390 Uttam Kumaran: Like.
41 00:06:49.390 ⇒ 00:06:50.140 Hannah Wang: One icon.
42 00:06:50.140 ⇒ 00:06:53.459 Uttam Kumaran: Well like, or a star like. For example, if this is just a dollar, then it’s.
43 00:06:54.160 ⇒ 00:06:56.980 Uttam Kumaran: I’m kind of thinking like something concentric or like.
44 00:06:58.100 ⇒ 00:07:04.600 Uttam Kumaran: Or if, for example, one way, it’d be like I it’d be like Yellow star versus Green star.
45 00:07:05.710 ⇒ 00:07:09.079 Uttam Kumaran: I don’t know. This may be sort of dumb to even like consider, but.
46 00:07:12.120 ⇒ 00:07:14.280 Hannah Wang: And the yellow star would be like.
47 00:07:15.210 ⇒ 00:07:16.190 Uttam Kumaran: Doesn’t necessarily.
48 00:07:16.190 ⇒ 00:07:16.599 Hannah Wang: Need to be.
49 00:07:16.600 ⇒ 00:07:24.620 Uttam Kumaran: Colors. But it would basically like, this is a like pricing advantage is like the tier, one tier 2.
50 00:07:24.950 ⇒ 00:07:29.259 Uttam Kumaran: It’s almost like premium versus premium plus.
51 00:07:29.260 ⇒ 00:07:30.890 Hannah Wang: Okay, huh?
52 00:07:31.250 ⇒ 00:07:35.669 Uttam Kumaran: Like pricing advantages like, where, like, we approved it. And we’re getting people a deal on it.
53 00:07:36.390 ⇒ 00:07:39.669 Hannah Wang: Then can I just do 2 stars for pricing advantage.
54 00:07:39.670 ⇒ 00:07:40.660 Uttam Kumaran: Okay, yeah. I’m down.
55 00:07:40.660 ⇒ 00:07:45.089 Hannah Wang: Yeah, yeah, that that’ll. And then, if you want to add, like a 3rd tier,
56 00:07:47.450 ⇒ 00:07:50.070 Hannah Wang: can do that, too, and make that 3 stars or something.
57 00:07:50.310 ⇒ 00:07:50.940 Uttam Kumaran: Okay.
58 00:07:52.650 ⇒ 00:07:53.650 Hannah Wang: Alright sweet
59 00:07:59.760 ⇒ 00:08:03.260 Hannah Wang: also. These are all I mean. All this copy I just got off of
60 00:08:03.640 ⇒ 00:08:06.410 Hannah Wang: chat, so it might not be correct.
61 00:08:15.600 ⇒ 00:08:20.170 Uttam Kumaran: So then wait. Where was your? I was just looking at your screen. Where is your comment? With the full list.
62 00:08:20.480 ⇒ 00:08:22.600 Hannah Wang: Right here at the top. Yeah.
63 00:08:42.200 ⇒ 00:08:50.159 Uttam Kumaran: Okay? So I mentioned, okay, we’re gonna do one on data, warehouse etl tools.
64 00:08:52.700 ⇒ 00:08:55.499 Uttam Kumaran: So then, for which tools go, where
65 00:08:56.210 ⇒ 00:08:59.529 Uttam Kumaran: should I? Well, you got it right.
66 00:08:59.980 ⇒ 00:09:06.260 Hannah Wang: Yeah. So I guess, which tools should we keep like, should we use?
67 00:09:07.170 ⇒ 00:09:11.110 Hannah Wang: Well, I’m I looked at our data stack. And I basically pulled everything so I’m assuming.
68 00:09:11.110 ⇒ 00:09:14.239 Hannah Wang: Oh, you think I should you think I should put a couple here that are like.
69 00:09:14.590 ⇒ 00:09:16.140 Uttam Kumaran: Bad basically.
70 00:09:16.140 ⇒ 00:09:18.589 Hannah Wang: Or if there’s anything I’m missing, I think.
71 00:09:18.590 ⇒ 00:09:26.000 Uttam Kumaran: Okay, yeah, yeah, yeah. Yeah. So, okay, cool.
72 00:09:43.340 ⇒ 00:09:44.749 Uttam Kumaran: And then one sec.
73 00:10:48.441 ⇒ 00:10:50.969 Uttam Kumaran: Should. Should I just leave comments like, right here?
74 00:10:52.330 ⇒ 00:10:54.540 Uttam Kumaran: Or should I put them in that top comment?
75 00:10:55.340 ⇒ 00:11:02.499 Hannah Wang: For data warehouse. You can just leave them on this page. But the other ones, you can just put in that comment.
76 00:12:44.600 ⇒ 00:12:47.229 Uttam Kumaran: So, okay, okay, never mind. That’s fine.
77 00:12:59.450 ⇒ 00:13:02.290 Uttam Kumaran: So for this bottom section.
78 00:13:05.410 ⇒ 00:13:07.900 Uttam Kumaran: Since these are not necessarily.
79 00:13:10.280 ⇒ 00:13:12.399 Hannah Wang: Oh, these are just placeholders.
80 00:13:13.280 ⇒ 00:13:17.130 Uttam Kumaran: I guess. Did we want these to be also data warehouses down here?
81 00:13:17.130 ⇒ 00:13:21.820 Hannah Wang: Yeah, exactly. Yeah, yeah, yeah, this is just place dummy data. Dummy.
82 00:13:21.820 ⇒ 00:13:26.290 Uttam Kumaran: So like. But then should I, for example, if should I should we also have Snowflake down here?
83 00:13:27.570 ⇒ 00:13:30.320 Uttam Kumaran: Oh, so like you can. So so basically.
84 00:13:30.440 ⇒ 00:13:32.869 Uttam Kumaran: how many do we think we can fit up here.
85 00:13:36.830 ⇒ 00:13:40.619 Uttam Kumaran: Example is like, if we want to have a couple here that we don’t recommend.
86 00:13:40.850 ⇒ 00:13:41.440 Hannah Wang: Yeah.
87 00:13:41.440 ⇒ 00:13:45.700 Uttam Kumaran: Then I can. Then I’m okay with being like, put Snowflake down here, put data bricks.
88 00:13:48.367 ⇒ 00:13:58.219 Hannah Wang: So one option is, we can just get rid, ditch this section entirely and make if we have a lot of items, so that this kind of leads down to the bottom?
89 00:13:59.265 ⇒ 00:14:02.609 Hannah Wang: Or yeah, you can add a couple that you don’t
90 00:14:03.390 ⇒ 00:14:07.350 Hannah Wang: recommend, and then we can add these here.
91 00:14:08.620 ⇒ 00:14:14.290 Uttam Kumaran: I think, maybe we ditch this.
92 00:14:15.120 ⇒ 00:14:16.080 Hannah Wang: All right. Yeah.
93 00:14:23.170 ⇒ 00:14:25.100 Uttam Kumaran: Okay, then a lot of cool more here.
94 00:14:26.610 ⇒ 00:14:29.289 Hannah Wang: And I’ll make this vertical.
95 00:15:35.430 ⇒ 00:15:38.439 Uttam Kumaran: I’m just gonna write this in a notion. So we have it.
96 00:15:38.740 ⇒ 00:15:39.450 Hannah Wang: Okay.
97 00:24:48.750 ⇒ 00:24:53.130 Hannah Wang: do you want to include everything or.
98 00:24:54.558 ⇒ 00:24:59.580 Uttam Kumaran: No, I’m out. And then, from the notion, I’m just give me one second. I’m just finishing up.
99 00:24:59.760 ⇒ 00:25:00.540 Hannah Wang: Okay.
100 00:25:01.080 ⇒ 00:25:03.780 Uttam Kumaran: Let me just get the rest of these.
101 00:30:20.820 ⇒ 00:30:27.240 Uttam Kumaran: Okay, I’m just going through now. And basically
102 00:30:30.196 ⇒ 00:30:35.699 Uttam Kumaran: just basically doing the ratings on these, but I think this should be pretty good.
103 00:30:36.720 ⇒ 00:30:37.420 Hannah Wang: Okay.
104 00:30:57.380 ⇒ 00:31:03.280 Uttam Kumaran: Anytime. I got just doing some getting some emails from our lawyer. And anytime a lawyer emails me, I’m like.
105 00:31:04.260 ⇒ 00:31:08.789 Uttam Kumaran: there’s just money leading like talk to them.
106 00:31:10.600 ⇒ 00:31:13.680 Hannah Wang: Oh, the legal side of things always.
107 00:31:13.680 ⇒ 00:31:15.210 Uttam Kumaran: Oh, poor Hank!
108 00:31:15.470 ⇒ 00:31:16.020 Hannah Wang: Yeah.
109 00:31:16.020 ⇒ 00:31:20.930 Uttam Kumaran: So useless, like so unproductive.
110 00:31:22.320 ⇒ 00:31:24.979 Hannah Wang: And they don’t. All their documents are like.
111 00:31:25.350 ⇒ 00:31:30.400 Hannah Wang: not pretty. It’s just a bunch of words. And then no, it’s so ugly.
112 00:31:30.400 ⇒ 00:31:31.320 Hannah Wang: Yeah.
113 00:31:31.810 ⇒ 00:31:32.960 Uttam Kumaran: But luckily
114 00:34:06.990 ⇒ 00:34:16.949 Uttam Kumaran: I just listed them all there, because I think at some point, someone else is, gonna ask me, like what tools we recommend so. But like we don’t need to do all of these for every single one. I just wanted to wrap this up while I’m in here.
115 00:34:17.480 ⇒ 00:34:18.190 Hannah Wang: Okay.
116 00:42:20.000 ⇒ 00:42:23.899 Uttam Kumaran: Okay, I’m gonna take a look at the deck. The partnership deck.
117 00:42:27.420 ⇒ 00:42:32.590 Hannah Wang: Oh, yes, it’s just the last slide
118 00:45:05.710 ⇒ 00:45:08.970 Hannah Wang: after we’re done with that. Could we go over the
119 00:45:09.190 ⇒ 00:45:17.200 Hannah Wang: tool notion? And then you tell me which category or which ones you want
120 00:45:17.500 ⇒ 00:45:21.530 Hannah Wang: to be made into a page, and then within that which tools to put.
121 00:45:21.910 ⇒ 00:45:22.510 Uttam Kumaran: Okay.
122 00:46:57.160 ⇒ 00:46:59.650 Uttam Kumaran: okay, I’m in notion. So
123 00:47:06.310 ⇒ 00:47:09.179 Uttam Kumaran: so the question is just which ones to go in.
124 00:47:10.660 ⇒ 00:47:17.300 Hannah Wang: Yeah. Also, there’s like Cdp, and like orchestration and scheduling. Do you want pages for those 2.
125 00:47:17.950 ⇒ 00:47:20.359 Uttam Kumaran: Yeah, but we can put in the backlog for those.
126 00:47:20.970 ⇒ 00:47:25.880 Hannah Wang: So which ones do we want? So we want all the ones that you already put in the figma comment right?
127 00:47:25.880 ⇒ 00:47:26.410 Uttam Kumaran: Yes.
128 00:47:26.840 ⇒ 00:47:27.460 Hannah Wang: All right.
129 00:47:29.640 ⇒ 00:47:33.890 Hannah Wang: And then do you want the our role section column? Or should we just take that out.
130 00:47:36.230 ⇒ 00:47:37.240 Uttam Kumaran: Hmm!
131 00:47:40.580 ⇒ 00:47:41.949 Uttam Kumaran: Let’s take it out.
132 00:47:42.400 ⇒ 00:47:43.100 Hannah Wang: Okay.
133 00:47:52.620 ⇒ 00:47:59.219 Hannah Wang: okay, I’m just gonna mark an X in that column for the ones that we want to include. So.
134 00:47:59.220 ⇒ 00:47:59.990 Uttam Kumaran: Okay.
135 00:47:59.990 ⇒ 00:48:01.750 Hannah Wang: These are the ones.
136 00:48:02.210 ⇒ 00:48:05.030 Hannah Wang: Anything else in the data Warehouse.
137 00:48:07.720 ⇒ 00:48:08.849 Uttam Kumaran: No, that’s it.
138 00:48:09.110 ⇒ 00:48:09.840 Hannah Wang: All right.
139 00:48:11.116 ⇒ 00:48:15.219 Hannah Wang: So I’m assuming these
140 00:48:18.290 ⇒ 00:48:24.550 Hannah Wang: are the ones that I saw the most about all of our stuff, and then anything else.
141 00:48:29.840 ⇒ 00:48:32.429 Uttam Kumaran: Yeah, I’m just gonna do. The ones down here
142 00:48:51.070 ⇒ 00:48:54.490 Uttam Kumaran: could probably handle like 7, Max, or how many Max.
143 00:48:55.000 ⇒ 00:49:01.260 Hannah Wang: 1, 2, 3, 4, 5, 6, 7, maybe 8, Max.
144 00:49:01.260 ⇒ 00:49:02.549 Uttam Kumaran: Oh, really. Okay.
145 00:49:37.730 ⇒ 00:49:45.852 Hannah Wang: And then is PP, the 2 stars, one symbol, and then is yes, the one star symbol.
146 00:49:47.625 ⇒ 00:49:48.380 Uttam Kumaran: Yes.
147 00:49:48.760 ⇒ 00:49:49.550 Hannah Wang: Okay?
148 00:50:04.920 ⇒ 00:50:10.290 Hannah Wang: And then I’m assuming the ones without a verdict. We don’t recommend.
149 00:50:11.370 ⇒ 00:50:12.280 Uttam Kumaran: Correct.
150 00:50:12.500 ⇒ 00:50:19.210 Hannah Wang: Okay, okay, this is good.
151 00:51:31.470 ⇒ 00:51:36.989 Hannah Wang: Do we want to sort these by like 2 star to don’t recommend.
152 00:51:44.000 ⇒ 00:51:45.680 Uttam Kumaran: What do you mean?
153 00:51:46.660 ⇒ 00:51:54.200 Hannah Wang: Like the which ones come first, st basically like, yeah, the order.
154 00:51:55.750 ⇒ 00:51:57.410 Uttam Kumaran: I guess what I can do is like
155 00:52:08.040 ⇒ 00:52:10.000 Uttam Kumaran: I’ll just organize them like this.
156 00:53:13.260 ⇒ 00:53:15.679 Hannah Wang: Okay, that makes sense.
157 00:53:34.530 ⇒ 00:53:37.870 Uttam Kumaran: Okay. Is there anything else for me to review.
158 00:53:50.100 ⇒ 00:54:00.780 Hannah Wang: I guess the Amazon case study one pager, I think, and made some updates on that, and then.
159 00:54:06.130 ⇒ 00:54:07.919 Uttam Kumaran: Oh! And then the Vitaco deck.
160 00:54:08.900 ⇒ 00:54:12.970 Hannah Wang: Yeah, but if that’s not a high pride, then we can.
161 00:54:13.720 ⇒ 00:54:15.539 Hannah Wang: They don’t have to review that.
162 00:54:18.190 ⇒ 00:54:21.470 Uttam Kumaran: Nice nice job you, for all the coffee looks great.
163 00:54:24.550 ⇒ 00:54:25.405 Hannah Wang: AI!
164 00:54:31.630 ⇒ 00:54:34.239 Uttam Kumaran: I thought we had the architecture diagram.
165 00:54:36.520 ⇒ 00:54:37.390 Uttam Kumaran: We didn’t.
166 00:54:37.700 ⇒ 00:54:40.989 Hannah Wang: Sorry for what are we? What are you reviewing right now
167 00:54:41.250 ⇒ 00:54:44.500 Hannah Wang: by the cocoa? Oh, oh, no, we don’t.
168 00:54:44.500 ⇒ 00:54:45.649 Uttam Kumaran: Okay. Okay.
169 00:56:03.000 ⇒ 00:56:05.290 Uttam Kumaran: okay, I’m good with this. It’s great.
170 00:56:06.720 ⇒ 00:56:07.340 Hannah Wang: Wait.
171 00:56:07.830 ⇒ 00:56:11.010 Hannah Wang: It’s just the architecture diagram, right?
172 00:56:11.010 ⇒ 00:56:11.630 Uttam Kumaran: Yeah.
173 00:56:11.970 ⇒ 00:56:12.650 Hannah Wang: Okay.
174 00:56:14.010 ⇒ 00:56:19.519 Uttam Kumaran: I just basically said, you can just like, put those 4 tools. I just left a comment there. But you can just.
175 00:56:19.520 ⇒ 00:56:20.040 Hannah Wang: Yeah.
176 00:56:20.330 ⇒ 00:56:23.340 Uttam Kumaran: Bring those together and call it call it done.
177 00:56:23.640 ⇒ 00:56:29.050 Hannah Wang: Do you wanna do it in the same format we’ve been doing for all the other ones, like the
178 00:56:29.880 ⇒ 00:56:31.990 Hannah Wang: raw data to all that.
179 00:56:31.990 ⇒ 00:56:35.210 Uttam Kumaran: No, it it could just be like step to the other.
180 00:56:35.210 ⇒ 00:56:36.349 Hannah Wang: Goes, okay.
181 00:56:37.930 ⇒ 00:56:38.650 Uttam Kumaran: That’s.
182 00:56:42.170 ⇒ 00:56:55.529 Hannah Wang: Okay? Yeah. And then we can review the Amazon one if you want. Right now, too.
183 00:56:58.200 ⇒ 00:56:59.589 Uttam Kumaran: Oh, yeah, I took a look at that.
184 00:57:18.420 ⇒ 00:57:23.520 Hannah Wang: I think the updated one is on the the right. The v, 2.
185 00:57:44.330 ⇒ 00:57:47.469 Hannah Wang: Oh, but yeah, we need the team members. I think.
186 00:58:35.530 ⇒ 00:58:36.400 Uttam Kumaran: Nice.
187 00:58:51.940 ⇒ 00:58:54.599 Hannah Wang: This one was just you 2, Robert, and you
188 00:58:54.802 ⇒ 00:58:57.639 Hannah Wang: it’s and it was just Robert. But I don’t wanna have him be lonely.
189 00:58:59.010 ⇒ 00:58:59.840 Hannah Wang: Okay?
190 00:59:15.410 ⇒ 00:59:20.009 Hannah Wang: Oh, the stack with one is already done on the right side. Yeah.
191 00:59:25.440 ⇒ 00:59:28.810 Hannah Wang: And then Vitaco go is also done.
192 00:59:29.287 ⇒ 00:59:35.409 Uttam Kumaran: I think Anne’s gonna work on the revenue one next nice. Let’s go.
193 00:59:38.840 ⇒ 00:59:42.770 Hannah Wang: Yeah, I think that’s all that needed to be reviewed.
194 00:59:48.910 ⇒ 00:59:49.790 Uttam Kumaran: Okay.
195 00:59:50.190 ⇒ 00:59:54.280 Uttam Kumaran: Great, yeah. I’m gonna I’ll work on the new variants for the next partner. Kit.
196 00:59:55.860 ⇒ 00:59:59.400 Hannah Wang: Okay, and the like. The Vc ones, right?
197 00:59:59.400 ⇒ 01:00:01.680 Uttam Kumaran: Yeah, exactly. The Vc one,
198 01:00:08.720 ⇒ 01:00:12.940 Uttam Kumaran: I mean the web flow one. The operating looks great. Maybe we just ship that.
199 01:00:15.720 ⇒ 01:00:17.769 Hannah Wang: I forgot why I put it in.
200 01:00:17.930 ⇒ 01:00:26.609 Hannah Wang: Oh, it’s because, yeah, it’s because the data landing page isn’t done. So I don’t. Wanna.
201 01:00:26.960 ⇒ 01:00:29.979 Hannah Wang: I guess it’s okay to push that since that link is not
202 01:00:30.350 ⇒ 01:00:33.980 Hannah Wang: like, we’re not sending that link anywhere and
203 01:00:34.530 ⇒ 01:00:38.739 Hannah Wang: cause like, if you push everything to production, then all
204 01:00:39.150 ⇒ 01:00:41.500 Hannah Wang: that are in progress also get pushed.
205 01:00:42.220 ⇒ 01:00:49.679 Hannah Wang: So what I can do is move the data one to be a draft, and that won’t be published.
206 01:00:50.537 ⇒ 01:00:54.540 Hannah Wang: I could do that as well, and then just publish the operating one.
207 01:00:55.290 ⇒ 01:00:58.535 Uttam Kumaran: Yeah, I would get the operating one out that way, cause
208 01:00:59.530 ⇒ 01:01:05.829 Uttam Kumaran: or with your just recent changes, because I know Ryan wants to wrap that up.
209 01:01:06.000 ⇒ 01:01:06.770 Hannah Wang: Okay.
210 01:01:12.040 ⇒ 01:01:15.800 Hannah Wang: sweet. Okay, I’ll do that and then move it to done.
211 01:01:16.200 ⇒ 01:01:16.810 Uttam Kumaran: Okay.
212 01:01:21.610 ⇒ 01:01:29.700 Hannah Wang: Yeah, I’m gonna I guess before we close, I’m gonna schedule some time for the
213 01:01:29.900 ⇒ 01:01:37.600 Hannah Wang: website, spike and then also the promotion just talking over the promotion roadmap with you and Robert.
214 01:01:38.313 ⇒ 01:01:42.780 Hannah Wang: Yeah, I feel like there’s a lot of channels being formed by now.
215 01:01:42.780 ⇒ 01:01:43.420 Uttam Kumaran: Yes.
216 01:01:43.420 ⇒ 01:01:47.250 Hannah Wang: Like the early June one is, is.
217 01:01:48.790 ⇒ 01:01:50.139 Uttam Kumaran: But I don’t even know what that.
218 01:01:50.140 ⇒ 01:01:58.090 Hannah Wang: Yeah, I don’t know what this is. And then super position. Can you give me some more context on this, too?
219 01:01:58.720 ⇒ 01:02:04.390 Uttam Kumaran: Oh, yeah, so or
220 01:02:04.750 ⇒ 01:02:11.600 Uttam Kumaran: for the super position. So this guy runs a company that does AI and data workshops as a service.
221 01:02:12.140 ⇒ 01:02:19.440 Uttam Kumaran: So he actually plugs into other consultancies that want to offer workshops to their clients.
222 01:02:20.755 ⇒ 01:02:24.970 Uttam Kumaran: I’m thinking about basically leveraging him.
223 01:02:25.350 ⇒ 01:02:28.590 Uttam Kumaran: If we want to go run worktops.
224 01:02:28.990 ⇒ 01:02:38.010 Uttam Kumaran: And basically, I’m we’re. I’m we’re thinking about doing one. Basically, I wanted to help
225 01:02:38.150 ⇒ 01:02:48.130 Uttam Kumaran: learn a little bit about like how he does these workshops. And then maybe we can basically create a new pricing, a new thing for basically a new service around
226 01:02:49.020 ⇒ 01:02:53.129 Uttam Kumaran: like half day or full day workshops
227 01:02:53.350 ⇒ 01:02:56.979 Uttam Kumaran: like that. We can add to our like repertoire.
228 01:02:57.860 ⇒ 01:02:58.460 Hannah Wang: Got it.
229 01:02:58.940 ⇒ 01:03:06.090 Uttam Kumaran: So I think we’re basically planning like either, probably an update to like pricing where we can do like a workshop
230 01:03:08.550 ⇒ 01:03:16.320 Uttam Kumaran: And then I also think we maybe put together like a 1 pager with him about
231 01:03:17.380 ⇒ 01:03:21.359 Uttam Kumaran: like what typically goes into his workshop and how we can start to advertise it.
232 01:03:21.720 ⇒ 01:03:25.520 Uttam Kumaran: but I just wanted to include you there. None of that is like the cycle, though.
233 01:03:26.025 ⇒ 01:03:26.210 Hannah Wang: Just.
234 01:03:26.210 ⇒ 01:03:28.120 Uttam Kumaran: I’m just collecting the information at this point.
235 01:03:28.120 ⇒ 01:03:29.109 Hannah Wang: I see.
236 01:03:29.600 ⇒ 01:03:30.260 Uttam Kumaran: Yeah.
237 01:03:30.260 ⇒ 01:03:31.940 Hannah Wang: Okay, got it?
238 01:03:33.672 ⇒ 01:03:38.810 Hannah Wang: Yeah, so we have the polytomic one.
239 01:03:39.770 ⇒ 01:03:46.419 Hannah Wang: Yeah, let me know. Like the Bucknell one. I know. That’s any time, too. So
240 01:03:46.600 ⇒ 01:03:51.140 Hannah Wang: I mean, maybe not this cycle, because we already have a lot of.
241 01:03:51.440 ⇒ 01:03:52.420 Uttam Kumaran: Yeah.
242 01:03:52.420 ⇒ 01:03:54.000 Hannah Wang: We can talk about it when I.
243 01:03:54.000 ⇒ 01:03:54.530 Uttam Kumaran: Okay.
244 01:03:54.530 ⇒ 01:03:55.647 Hannah Wang: Make that meeting.
245 01:03:56.350 ⇒ 01:03:56.980 Uttam Kumaran: Okay.
246 01:04:00.380 ⇒ 01:04:02.730 Hannah Wang: Alright, that’s all for me. Anything else.
247 01:04:03.590 ⇒ 01:04:04.809 Uttam Kumaran: I think that’s it.
248 01:04:06.050 ⇒ 01:04:10.640 Hannah Wang: Alrighty, happy! Monday. Monday is.
249 01:04:10.640 ⇒ 01:04:11.320 Uttam Kumaran: Thank you.
250 01:04:11.320 ⇒ 01:04:12.160 Uttam Kumaran: Day.
251 01:04:12.160 ⇒ 01:04:13.410 Uttam Kumaran: Busy. Yeah, I know.
252 01:04:13.410 ⇒ 01:04:14.030 Hannah Wang: Yeah.
253 01:04:15.780 ⇒ 01:04:17.060 Uttam Kumaran: Alright, talk soon.
254 01:04:17.060 ⇒ 01:04:18.329 Hannah Wang: Talk soon bye.
255 01:04:18.330 ⇒ 01:04:18.960 Uttam Kumaran: Bye.