Meeting Title: Marketing Planning Meeting Date: 2025-10-20 Meeting participants: Ryan Brosas, Uttam, Rico Rejoso, Hannah Wang, Uttam Kumaran
WEBVTT
1 00:00:00.000 ⇒ 00:00:00.980 Ryan Brosas: Come on.
2 00:01:11.650 ⇒ 00:01:13.919 Rico Rejoso: We’re just waiting for Hannah to join.
3 00:03:14.790 ⇒ 00:03:16.670 Rico Rejoso: Okay, Utam?
4 00:03:21.170 ⇒ 00:03:26.980 Uttam: Okay, great. Cool. So, let me… Share…
5 00:03:51.570 ⇒ 00:04:03.960 Uttam: Okay.
6 00:04:09.250 ⇒ 00:04:16.310 Uttam: Okay, so let’s talk about, in client review,
7 00:04:16.959 ⇒ 00:04:23.730 Uttam: Okay, so these are all to be reviewed by me. I can take a look and then close these out.
8 00:04:25.070 ⇒ 00:04:32.659 Hannah Wang: I’ll… I’m… I’m sprucing it up a little bit, and then I’ll send a message in the design channel for you to look at after. Okay.
9 00:04:33.410 ⇒ 00:04:34.310 Uttam: Okay, perfect
10 00:04:37.690 ⇒ 00:04:40.160 Uttam: Right?
11 00:04:44.200 ⇒ 00:04:47.739 Uttam: Okay, cool. And then, how did it go with the case studies this morning?
12 00:04:48.540 ⇒ 00:04:52.910 Hannah Wang: Yeah, I knocked them out, one after the other, so I’ll take the transcript.
13 00:04:52.910 ⇒ 00:04:53.420 Uttam: Nice.
14 00:04:53.420 ⇒ 00:04:57.550 Hannah Wang: Case study? When do you need it by? Probably earlier the better, right?
15 00:04:58.810 ⇒ 00:05:02.820 Uttam: Yeah, like, whenever you have it ready, Okay. Basically.
16 00:05:02.820 ⇒ 00:05:09.570 Hannah Wang: Well, I’m traveling tomorrow, but we’ll see. I’ll try to squeeze it in tomorrow or something.
17 00:05:09.860 ⇒ 00:05:11.749 Hannah Wang: But by Wednesday, for sure, I’ll have it.
18 00:05:11.750 ⇒ 00:05:12.930 Uttam: possible today.
19 00:05:13.720 ⇒ 00:05:21.479 Hannah Wang: Oh. Sure, I can try to crank both of them out by end of day today, yeah.
20 00:05:21.870 ⇒ 00:05:30.280 Uttam: Yeah, to give you a sense, like, I got the lead on… I got the…
21 00:05:30.810 ⇒ 00:05:32.369 Uttam: I got the lead.
22 00:05:33.330 ⇒ 00:05:38.100 Uttam: from them on Friday, and I just want to give them as much stuff as possible.
23 00:05:38.100 ⇒ 00:05:38.640 Hannah Wang: Okay.
24 00:05:38.640 ⇒ 00:05:42.459 Uttam: Like, what else do you have on your plate today that I can, like, move aside?
25 00:05:43.060 ⇒ 00:05:53.600 Hannah Wang: Well, I’m just gonna talk with Robert about go-to-market stuff after this meeting, but I can work later in the evening, too. I’ll just crank it out.
26 00:05:53.930 ⇒ 00:05:56.429 Uttam: That would be so helpful. Sorry, I don’t… I don’t mean to interrupt.
27 00:05:56.430 ⇒ 00:05:56.820 Hannah Wang: Glory.
28 00:05:57.890 ⇒ 00:05:58.900 Hannah Wang: That’s okay.
29 00:05:58.900 ⇒ 00:06:00.159 Uttam: Okay, yeah.
30 00:06:00.620 ⇒ 00:06:09.089 Uttam: Just so I can get them that. It’s a pretty big opportunity, so I just want to get them that as much as… as fast as we can, so even if it’s…
31 00:06:09.230 ⇒ 00:06:11.900 Uttam: Even if it’s your best shot, that’d be best, so I appreciate it.
32 00:06:11.900 ⇒ 00:06:12.350 Hannah Wang: Okay.
33 00:06:12.350 ⇒ 00:06:19.189 Uttam: Okay, cool, so those two are there, so I’ll just change the due date here.
34 00:06:19.470 ⇒ 00:06:24.980 Uttam: Cool.
35 00:06:26.090 ⇒ 00:06:31.260 Uttam: Okay, these are all services. Yeah, the services… I just got so jammed, so I’m not sure…
36 00:06:31.260 ⇒ 00:06:32.160 Hannah Wang: No worries.
37 00:06:32.160 ⇒ 00:06:35.910 Uttam: I’m not sure about the services this week, either. Okay.
38 00:06:35.910 ⇒ 00:06:37.330 Hannah Wang: That’s… that’s no problem.
39 00:06:37.690 ⇒ 00:06:42.249 Uttam: I guess, tell me about this ticket. This is still waiting on requirements, right?
40 00:06:43.040 ⇒ 00:06:53.910 Hannah Wang: Yeah, like that one, and then if you go to… to review, like, client review, I feel like technically the last two also need requirements, so you should just move it back.
41 00:06:53.910 ⇒ 00:06:56.040 Uttam: Okay, I’m just gonna move these as blocked.
42 00:06:56.130 ⇒ 00:06:58.830 Hannah Wang: Okay. I mean, that way it’s gonna be very obvious for me.
43 00:06:58.900 ⇒ 00:07:13.909 Uttam: And I’ll be… so, also, one thing, I’m gonna be sort of, like, back into, like, kind of moving things forward on marketing here and there, just because I’m, like, doing… I’m doing PM stuff, like, across the board, so I think it’ll be… it’ll be helpful, so I’ll see that every day and try to knock it out.
44 00:07:14.120 ⇒ 00:07:15.350 Uttam: Right.
45 00:07:15.740 ⇒ 00:07:20.809 Uttam: partnership stack. Yeah, that’s… that’s fine. I think I’ll get you the…
46 00:07:20.970 ⇒ 00:07:24.970 Uttam: Basically, we just talked about it, so I’ll try to get the requirements in there.
47 00:07:25.150 ⇒ 00:07:26.679 Uttam: Okay. Yeah.
48 00:07:26.900 ⇒ 00:07:28.040 Uttam: When are you planning?
49 00:07:28.040 ⇒ 00:07:30.860 Hannah Wang: I need to book the meeting with Mike?
50 00:07:30.860 ⇒ 00:07:34.490 Uttam: I was just gonna send a note right now and ask for end of the week.
51 00:07:34.980 ⇒ 00:07:35.710 Hannah Wang: Okay.
52 00:07:35.710 ⇒ 00:07:36.540 Uttam: Okay.
53 00:07:41.280 ⇒ 00:07:48.140 Uttam: So let’s take a look here…
54 00:07:54.390 ⇒ 00:07:57.060 Uttam: What are your thoughts on, on this ticket?
55 00:07:57.870 ⇒ 00:08:00.350 Uttam: The chat with data, just another case study.
56 00:08:01.070 ⇒ 00:08:01.940 Uttam: Oops.
57 00:08:04.840 ⇒ 00:08:10.139 Hannah Wang: Chat with data… what is… what is this? Can you click into it?
58 00:08:10.880 ⇒ 00:08:15.410 Uttam: Oh, this is the… this is the video that Sam, me, and Robert put together.
59 00:08:16.140 ⇒ 00:08:16.990 Uttam: I’m just thinking.
60 00:08:16.990 ⇒ 00:08:19.399 Hannah Wang: Is this for Ray, then?
61 00:08:19.770 ⇒ 00:08:22.660 Hannah Wang: To repurpose? Oh, to make a case study out of it, okay.
62 00:08:22.660 ⇒ 00:08:23.740 Uttam: Yeah, yeah.
63 00:08:24.590 ⇒ 00:08:27.520 Uttam: Okay, so let me just look here, and I’ll think about if there’s anything…
64 00:08:33.530 ⇒ 00:08:35.900 Hannah Wang: They’re all case studies, basically.
65 00:08:35.909 ⇒ 00:08:36.379 Uttam: Yeah.
66 00:08:36.380 ⇒ 00:08:37.090 Hannah Wang: Yeah.
67 00:08:37.270 ⇒ 00:08:47.799 Uttam: Well, I actually have, so I spent some time in the delivery meeting talking about case studies, because I wanted more people to help you guys get some of that forward, so I do have a couple more to share.
68 00:08:48.240 ⇒ 00:08:51.319 Uttam: And people that are… raise their hand to help.
69 00:08:51.910 ⇒ 00:08:52.800 Uttam: Y’all.
70 00:08:52.800 ⇒ 00:08:53.520 Hannah Wang: Cool.
71 00:08:53.520 ⇒ 00:08:59.380 Uttam: So, the first one is going to be…
72 00:09:01.370 ⇒ 00:09:05.290 Uttam: First one is going to be… Yeah.
73 00:09:06.210 ⇒ 00:09:08.289 Uttam: It’s gonna be this one…
74 00:09:33.920 ⇒ 00:09:35.930 Uttam: Oops, what the heck?
75 00:09:36.920 ⇒ 00:09:37.550 Hannah Wang: Oh.
76 00:09:39.600 ⇒ 00:09:42.630 Hannah Wang: Okay. Is it with the AWS outage?
77 00:09:42.630 ⇒ 00:09:43.370 Uttam: Yeah.
78 00:09:43.370 ⇒ 00:09:44.440 Hannah Wang: still happening?
79 00:09:44.920 ⇒ 00:09:45.810 Uttam: Yes.
80 00:09:47.230 ⇒ 00:09:54.440 Uttam: Well… Alright, I don’t know what to do, but,
81 00:09:56.340 ⇒ 00:10:00.249 Uttam: Okay, well, let’s just, again, let’s just do planning and Slack, then, that’s why I’m here.
82 00:10:00.350 ⇒ 00:10:05.940 Uttam: I’ll just send… I’ll do some writing directly there, so…
83 00:10:10.580 ⇒ 00:10:16.160 Uttam: So we have one, which is the Catalyst case study.
84 00:10:16.450 ⇒ 00:10:19.250 Uttam: We have this, what is this other one?
85 00:10:19.820 ⇒ 00:10:23.859 Uttam: Yeah, reli… so Urban Stems, reliable revenue reporting, yep.
86 00:10:27.740 ⇒ 00:10:37.220 Uttam: This is Henry… And then we have, and then in Client Hub, Sam.
87 00:10:38.510 ⇒ 00:10:45.509 Uttam: How long, like, what is the lift on these end-to-end, Hannah? And I guess, yeah, my first question.
88 00:10:46.720 ⇒ 00:10:50.379 Hannah Wang: Including the interview, or not including the interview?
89 00:10:50.740 ⇒ 00:10:51.989 Uttam: Including the interview.
90 00:10:54.940 ⇒ 00:10:56.670 Hannah Wang: Like, around 3 hours.
91 00:10:57.220 ⇒ 00:11:04.279 Hannah Wang: To make the one-pager and the slide deck version, and to, like, upload everything, get approval, etc.
92 00:11:05.650 ⇒ 00:11:06.250 Uttam: Okay.
93 00:11:06.750 ⇒ 00:11:11.770 Uttam: So, I think, like, yeah, so 3 hours each, and then, I guess, tell me,
94 00:11:12.500 ⇒ 00:11:16.890 Uttam: What… at what part, like, if you do the… if you do the interview…
95 00:11:17.590 ⇒ 00:11:21.529 Uttam: Can you hand it to Ann at that point, or, like, do you, like, what…
96 00:11:21.630 ⇒ 00:11:32.769 Uttam: for example, because I think I may be able to get you more interviews, but of course it takes time to, like, design the thing. Like, what’s helpful in terms of, like, breaking things apart between you and Anne?
97 00:11:34.090 ⇒ 00:11:40.740 Hannah Wang: Yeah, if I do the interview, I can give it to Anne sometimes.
98 00:11:41.060 ⇒ 00:11:52.960 Hannah Wang: like, I don’t know how she does it with AI and stuff, but, like, some of the metrics… like, I basically look over it and spend maybe, like, another 30 minutes, like, editing her version.
99 00:11:52.960 ⇒ 00:12:08.449 Hannah Wang: And sometimes, like, she doesn’t know certain things, so, like, I fill it in or trace people down to get that information, so 30 minutes to an hour. But yeah, as long as the base is there, like, I can tweak it, and then I usually upload it to…
100 00:12:08.750 ⇒ 00:12:16.069 Hannah Wang: the platform, but I’m gonna call her tomorrow to teach her how to do it, cause it’s a bit confusing, and then…
101 00:12:16.070 ⇒ 00:12:16.670 Uttam: Okay.
102 00:12:16.970 ⇒ 00:12:19.249 Hannah Wang: Yeah, so, I think…
103 00:12:19.490 ⇒ 00:12:27.569 Hannah Wang: once the transcript is there, like, I… I usually sometimes, like, give it to her, and then she designs it, and then… yeah.
104 00:12:30.420 ⇒ 00:12:31.400 Uttam: Yeah, I’m almost wondering…
105 00:12:31.400 ⇒ 00:12:34.629 Hannah Wang: So she can do the first version, and then I…
106 00:12:35.290 ⇒ 00:12:40.760 Uttam: Yeah, I guess I was wondering if maybe there’s, like, tweaks to the prompt or the AI for it to get logged.
107 00:12:42.970 ⇒ 00:12:44.970 Uttam: to help her out better, I don’t know.
108 00:12:45.410 ⇒ 00:12:48.489 Hannah Wang: Yeah, I… yeah, I might need a tweak.
109 00:12:49.330 ⇒ 00:12:50.390 Hannah Wang: Yeah.
110 00:12:52.030 ⇒ 00:13:09.199 Hannah Wang: Because I basically use two GPTs, that’s probably not the most efficient, but I use, like, the Case Study Creator GPT, and then I use the Marketing Design Assistant GPT to turn it… turn the copy into more, like, Brainforge branding.
111 00:13:09.200 ⇒ 00:13:09.900 Uttam: Yeah.
112 00:13:10.300 ⇒ 00:13:19.630 Uttam: So maybe, I just haven’t had the time to sit down and, like, merge the two together, and then, like, test it out. Okay. So… I mean, you just paste the interview directly in there.
113 00:13:20.570 ⇒ 00:13:28.160 Hannah Wang: Yeah, I paste the transcript into the case study creator, and then it gives me, like, the sections, and then I copy that output into the…
114 00:13:28.310 ⇒ 00:13:29.390 Hannah Wang: GPT.
115 00:13:29.560 ⇒ 00:13:34.050 Hannah Wang: I have a SOP, by the way, so, I mean…
116 00:13:34.050 ⇒ 00:13:34.500 Uttam: Oh, nice.
117 00:13:34.500 ⇒ 00:13:35.000 Hannah Wang: Right.
118 00:13:39.130 ⇒ 00:13:43.190 Uttam: Okay, great. Yeah, I mean, I feel like there’s probably a way for us to get… make this, like.
119 00:13:45.580 ⇒ 00:13:50.480 Uttam: a bit better. I mean, one thing that we can do is we can actually…
120 00:13:52.050 ⇒ 00:13:56.770 Uttam: Like, you can actually probably take all of our… the ones that finalized.
121 00:13:57.480 ⇒ 00:13:57.869 Hannah Wang: Excuse me.
122 00:13:57.870 ⇒ 00:13:59.690 Uttam: Go into our prompt.
123 00:14:00.960 ⇒ 00:14:08.429 Uttam: Into our prompt rider and say, like, here are, yeah, here are examples of ones that were right, and here’s the old prompt we were using.
124 00:14:09.050 ⇒ 00:14:11.429 Uttam: Make it one final prompt, potentially.
125 00:14:11.430 ⇒ 00:14:13.890 Hannah Wang: Yeah.
126 00:14:29.500 ⇒ 00:14:30.210 Uttam: Okay.
127 00:14:30.780 ⇒ 00:14:37.659 Uttam: Alright, so these are… this is on case studies, 3 hours of each, okay, cool. So…
128 00:14:38.120 ⇒ 00:14:40.880 Uttam: like, I think we start here.
129 00:14:41.030 ⇒ 00:14:44.319 Uttam: And then, I guess, let me know, like, what, like.
130 00:14:44.550 ⇒ 00:14:46.900 Uttam: I mean, like, I would say,
131 00:14:47.520 ⇒ 00:14:49.979 Uttam: So this is on Case Studies Workstream…
132 00:14:50.510 ⇒ 00:14:55.090 Uttam: Like, if we were to talk about, website…
133 00:14:55.860 ⇒ 00:15:01.080 Uttam: You know, one thing that… I didn’t do it today, but one thing maybe we can do right now is just go through the website together.
134 00:15:01.280 ⇒ 00:15:04.520 Uttam: And I could start… You can write down any priorities.
135 00:15:06.430 ⇒ 00:15:07.040 Hannah Wang: Okay.
136 00:15:25.910 ⇒ 00:15:27.839 Hannah Wang: Oh, where are the logos?
137 00:15:29.930 ⇒ 00:15:33.220 Uttam: My Wi-Fi’s slow, it’s here, you can’t… Oh, okay.
138 00:15:38.930 ⇒ 00:15:40.080 Uttam: Nice.
139 00:15:48.890 ⇒ 00:15:50.670 Hannah Wang: Okay.
140 00:15:52.330 ⇒ 00:15:53.810 Hannah Wang: Oh, it’s a…
141 00:15:53.810 ⇒ 00:15:54.940 Uttam: But there’s one thing.
142 00:15:55.690 ⇒ 00:15:56.350 Hannah Wang: Yeah.
143 00:16:13.900 ⇒ 00:16:14.940 Uttam: Okay…
144 00:16:29.620 ⇒ 00:16:34.060 Uttam: Hmm… I don’t know what’s going on there.
145 00:16:34.060 ⇒ 00:16:34.640 Hannah Wang: events.
146 00:16:36.320 ⇒ 00:16:38.889 Uttam: Wait, oh, you know what? Broken? Okay, sorry.
147 00:16:43.410 ⇒ 00:16:44.930 Uttam: It may be mine.
148 00:16:46.740 ⇒ 00:16:49.950 Uttam: Maybe my laptop, because I don’t know, my Wi-Fi’s busted.
149 00:16:50.750 ⇒ 00:16:51.530 Hannah Wang: Okay.
150 00:16:54.220 ⇒ 00:16:55.989 Uttam: Okay, I would just double-check this.
151 00:16:56.920 ⇒ 00:16:59.060 Hannah Wang: No, it’s broken for me, too.
152 00:16:59.900 ⇒ 00:17:00.570 Uttam: Okay.
153 00:17:15.699 ⇒ 00:17:17.949 Hannah Wang: I already have a ticket of, like.
154 00:17:18.079 ⇒ 00:17:26.339 Hannah Wang: bugs to fix for the website. Okay. So, Rico, maybe you can paste everything that Utron writes down into that ticket.
155 00:17:27.859 ⇒ 00:17:28.799 Uttam: Yeah.
156 00:17:32.159 ⇒ 00:17:34.479 Uttam: For the pad, so…
157 00:17:46.899 ⇒ 00:17:49.369 Uttam: Okay, and then these ones we have to work on.
158 00:17:50.170 ⇒ 00:17:51.100 Hannah Wang: Yeah.
159 00:18:22.010 ⇒ 00:18:29.029 Uttam: Is the, should we add… oh, should we add more people to the About Us?
160 00:18:30.870 ⇒ 00:18:37.460 Hannah Wang: Yeah, that’s… it’s just the… this is, like, the V1, so I think in the V2, we would add…
161 00:18:37.460 ⇒ 00:18:39.459 Uttam: Oh, yeah, I know we have the V2, yeah.
162 00:18:39.700 ⇒ 00:18:40.380 Uttam: Okay.
163 00:19:07.920 ⇒ 00:19:08.460 Uttam: Oh, my
164 00:19:16.090 ⇒ 00:19:16.990 Uttam: Okay.
165 00:19:17.230 ⇒ 00:19:19.080 Uttam: Not bad.
166 00:19:19.220 ⇒ 00:19:20.560 Uttam: Just a couple things.
167 00:19:21.370 ⇒ 00:19:25.780 Uttam: Okay, yeah, attached image goes biling, daughter, AI report, footer broken, okay.
168 00:19:26.120 ⇒ 00:19:31.619 Uttam: Cool, so yeah, if we can batch all those, we can have just
169 00:19:31.760 ⇒ 00:19:33.969 Uttam: I can have Arushi fix it, or…
170 00:19:34.830 ⇒ 00:19:39.650 Hannah Wang: Some of these, I feel like even our team can fix in Webflow, like… Yeah.
171 00:19:39.650 ⇒ 00:19:43.040 Uttam: I’m sure Mustafa or someone can go in and rip that pretty easily.
172 00:19:48.600 ⇒ 00:19:50.020 Uttam: Let’s us, Mustafa.
173 00:19:52.260 ⇒ 00:19:58.960 Uttam: Okay, cool, so I think if we can get these scheduled… I think probably, for me.
174 00:19:59.220 ⇒ 00:20:02.880 Uttam: Hannah… right now, we have a goal of, what, 2 a week?
175 00:20:04.290 ⇒ 00:20:05.090 Hannah Wang: Yes.
176 00:20:05.710 ⇒ 00:20:10.819 Uttam: I think I can… now, given, like, I’m getting more people motivated to do this, I feel like I can get you.
177 00:20:10.820 ⇒ 00:20:11.280 Hannah Wang: anymore.
178 00:20:11.280 ⇒ 00:20:12.100 Uttam: interviews.
179 00:20:12.380 ⇒ 00:20:13.700 Uttam: Okay.
180 00:20:14.680 ⇒ 00:20:17.740 Uttam: So, like, what do you think is the upper limit?
181 00:20:18.820 ⇒ 00:20:20.069 Uttam: Of how many we can do.
182 00:20:20.070 ⇒ 00:20:24.590 Hannah Wang: Given that I’m doing the interviews?
183 00:20:24.590 ⇒ 00:20:29.739 Uttam: Well, even just the inter… even the interviews, you can… we can design them over the next few weeks.
184 00:20:32.500 ⇒ 00:20:34.590 Hannah Wang: design them as in… because I already have.
185 00:20:34.590 ⇒ 00:20:35.070 Uttam: Roll life.
186 00:20:35.070 ⇒ 00:20:36.130 Hannah Wang: I ask.
187 00:20:36.760 ⇒ 00:20:42.379 Uttam: No, no, no, meaning, like, there’s two parts to each case study. There’s the interview, and
188 00:20:42.570 ⇒ 00:20:44.240 Uttam: the designing. So, like.
189 00:20:44.240 ⇒ 00:20:45.199 Hannah Wang: Oh, yup, yep.
190 00:20:45.200 ⇒ 00:20:48.289 Uttam: How many interviews do you think you can do a week?
191 00:20:50.220 ⇒ 00:20:50.860 Hannah Wang: Oh…
192 00:20:50.860 ⇒ 00:20:51.810 Uttam: Reasonably.
193 00:20:53.110 ⇒ 00:20:56.190 Hannah Wang: Maybe, like… 5?
194 00:20:58.460 ⇒ 00:20:59.110 Uttam: Okay.
195 00:20:59.400 ⇒ 00:21:00.553 Hannah Wang: I think.
196 00:21:04.570 ⇒ 00:21:11.079 Uttam: The other… oh, and then the other thing is, some of these, I was thinking about maybe doing this as a technical blog post.
197 00:21:13.060 ⇒ 00:21:13.820 Hannah Wang: Okay.
198 00:21:14.540 ⇒ 00:21:21.890 Uttam: Instead of a… in… Instead of a… case study.
199 00:21:23.010 ⇒ 00:21:23.800 Hannah Wang: Okay.
200 00:21:23.800 ⇒ 00:21:26.830 Uttam: Like, for example, this one was just gonna be, like, very technical.
201 00:21:27.170 ⇒ 00:21:30.640 Uttam: And so I was like, maybe we should release it as a long-form blog post.
202 00:21:30.990 ⇒ 00:21:32.020 Hannah Wang: Oh, okay.
203 00:21:32.170 ⇒ 00:21:36.170 Uttam: like, I guess let’s go to, like, our blog page.
204 00:21:41.240 ⇒ 00:21:47.849 Uttam: So, if we were to take something like this… like, Sam can easily, like.
205 00:21:48.230 ⇒ 00:21:50.639 Uttam: I guess what I probably would…
206 00:21:51.430 ⇒ 00:21:54.200 Uttam: We’d have to tweak, like, your interview, right?
207 00:21:56.160 ⇒ 00:21:56.940 Hannah Wang: Yeah.
208 00:22:04.780 ⇒ 00:22:07.580 Uttam: I think that would be nice.
209 00:22:09.450 ⇒ 00:22:17.299 Uttam: And it achieves our goal of having more people post blogs, but that’s part of the only wrench I’ll throw into this this week, is this…
210 00:22:17.300 ⇒ 00:22:17.900 Hannah Wang: Okay.
211 00:22:17.900 ⇒ 00:22:21.940 Uttam: Should be a technical blog post.
212 00:22:22.110 ⇒ 00:22:25.170 Uttam: Well, need a new interview.
213 00:22:25.490 ⇒ 00:22:27.680 Uttam: Set of questions…
214 00:22:31.310 ⇒ 00:22:34.189 Uttam: plus, like, Screenshots and stuff.
215 00:22:35.300 ⇒ 00:22:35.690 Hannah Wang: Yeah.
216 00:22:35.690 ⇒ 00:22:40.229 Uttam: Plus, maybe even… video walkthrough, question mark?
217 00:22:41.140 ⇒ 00:22:42.080 Uttam: That’s fun.
218 00:22:53.820 ⇒ 00:22:57.459 Hannah Wang: That number’s very arbitrary for now. Like, I don’t really know.
219 00:22:57.460 ⇒ 00:22:57.780 Uttam: Yeah.
220 00:22:57.780 ⇒ 00:22:59.800 Hannah Wang: So I just threw a number out.
221 00:23:00.500 ⇒ 00:23:08.919 Uttam: That’s fine. I think… I think that’s valid. I think 5 is valid. Like, takes a lot of energy to do the interview, and, like, maybe they’re all not, like, super…
222 00:23:09.400 ⇒ 00:23:22.370 Uttam: like, specific, but the thing is, like, there’s a difference between doing the interviews and then getting the whole thing designed. So now that I have, like, a lot of people interested in, like, in, like, spending time with you, I can get you to do… you can do a ton of these interviews and then…
223 00:23:22.490 ⇒ 00:23:25.849 Uttam: We can just still publish them on, like, some two-week cadence.
224 00:23:26.430 ⇒ 00:23:26.990 Hannah Wang: Yeah.
225 00:23:27.430 ⇒ 00:23:30.200 Uttam: You know… Okay.
226 00:23:30.200 ⇒ 00:23:43.979 Hannah Wang: Okay. I mean, can you also, like, make a ticket for, like, the blog post version of the questions? That could probably take me, like, an hour. I’ll use AI to help me come up with the questions.
227 00:23:45.640 ⇒ 00:23:47.220 Uttam: Yeah,
228 00:23:54.510 ⇒ 00:23:55.170 Uttam: Great.
229 00:23:58.540 ⇒ 00:24:06.279 Uttam: Okay, cool. So, Rico, would you mind ticketing these out, and then you can just put them here once they’re ready?
230 00:24:07.890 ⇒ 00:24:15.029 Uttam: And then, for each of the case studies, we want to have two tickets each. One ticket for the interview, one ticket for the design.
231 00:24:15.180 ⇒ 00:24:17.479 Uttam: For the interview, you can do…
232 00:24:18.150 ⇒ 00:24:22.050 Uttam: Like, an hour, and then for the design, you can make it 2 points.
233 00:24:22.360 ⇒ 00:24:23.510 Uttam: And then… Yeah.
234 00:24:23.510 ⇒ 00:24:26.719 Hannah Wang: Yep. We can just create them all in cycle, and then we can do assignments.
235 00:24:26.720 ⇒ 00:24:28.340 Uttam: And then Hannah’s gonna be off.
236 00:24:28.530 ⇒ 00:24:31.230 Uttam: This week, so she’ll have less capacity.
237 00:24:32.870 ⇒ 00:24:35.410 Hannah Wang: Oh, I’m here. I’m not off.
238 00:24:35.410 ⇒ 00:24:36.479 Uttam: Oh, I thought it meant tomorrow.
239 00:24:37.800 ⇒ 00:24:42.299 Hannah Wang: Oh, I’ll travel… I’m traveling, like, nighttime Eastern tomorrow, so I’ll be working.
240 00:24:42.300 ⇒ 00:24:42.870 Uttam: Oh, okay.
241 00:24:43.680 ⇒ 00:24:44.270 Hannah Wang: Yeah.
242 00:24:45.120 ⇒ 00:24:45.840 Uttam: Okay, cool.
243 00:24:47.610 ⇒ 00:24:48.619 Rico Rejoso: Got it, this.
244 00:24:50.190 ⇒ 00:24:54.810 Uttam: Okay, great. And then if… once we thicken these down.
245 00:24:54.930 ⇒ 00:24:58.100 Uttam: We can pass it to Mustafa to fix.
246 00:25:00.230 ⇒ 00:25:01.000 Hannah Wang: Yeah.
247 00:25:02.290 ⇒ 00:25:10.969 Rico Rejoso: I created the case… the ticket for the case studies. I’ll edit it once Linear is back. I’m having issues with Linear as well.
248 00:25:12.330 ⇒ 00:25:13.750 Uttam: Okay. Okay. Yeah.
249 00:25:21.480 ⇒ 00:25:22.660 Rico Rejoso: Maybe, Tom?
250 00:25:22.660 ⇒ 00:25:24.819 Uttam: Alright guys, that’s all I had. Yeah. Yeah, go ahead.
251 00:25:25.210 ⇒ 00:25:30.559 Rico Rejoso: Yeah, about content, the one we discussed last week, do you want to…
252 00:25:34.950 ⇒ 00:25:38.699 Rico Rejoso: Add tickets for Ray for the edits, confirm that one for next week.
253 00:25:38.700 ⇒ 00:25:46.790 Uttam: Oh… Yeah, let’s, I… Yeah.
254 00:25:49.400 ⇒ 00:25:55.580 Uttam: we need to raise feedback, right? I guess, like, I don’t have any priority on the video side this week, really.
255 00:25:56.070 ⇒ 00:25:56.770 Rico Rejoso: Okay.
256 00:25:57.730 ⇒ 00:26:02.490 Rico Rejoso: I can send you the tickets later on once Linear is back, so you can also take a look at it.
257 00:26:02.490 ⇒ 00:26:03.210 Uttam: Okay.
258 00:26:04.130 ⇒ 00:26:05.120 Uttam: Sure, sure.
259 00:26:07.280 ⇒ 00:26:08.750 Rico Rejoso: Alright, that’s it for me. Thank you.
260 00:26:08.750 ⇒ 00:26:12.990 Uttam: If anything, we’ll… we can do the child beta… One, if he wants.
261 00:26:12.990 ⇒ 00:26:13.530 Rico Rejoso: Nope.
262 00:26:13.720 ⇒ 00:26:19.000 Uttam: But, like, we still haven’t published any of our… Other shorts, right, or anything?
263 00:26:22.410 ⇒ 00:26:24.540 Ryan Brosas: Yeah, we haven’t.
264 00:26:24.540 ⇒ 00:26:25.340 Uttam: ceremonial.
265 00:26:27.660 ⇒ 00:26:29.250 Ryan Brosas: Yeah, we haven’t posted that.
266 00:26:31.180 ⇒ 00:26:39.080 Uttam: Okay, can we create a… can we make sure there’s a ticket, Rico, this week for the ABC testimonial video? And I can make a decision what we want to do with that?
267 00:26:39.490 ⇒ 00:26:41.340 Rico Rejoso: Got it, yes. I’ll create those.
268 00:26:42.360 ⇒ 00:26:43.130 Uttam: Okay.
269 00:26:50.360 ⇒ 00:26:51.150 Uttam: Okay.
270 00:26:51.280 ⇒ 00:26:52.210 Uttam: Perfect.
271 00:26:53.340 ⇒ 00:26:54.330 Uttam: Alright.
272 00:26:54.460 ⇒ 00:26:55.230 Uttam: Thanks, everyone.
273 00:26:56.210 ⇒ 00:26:58.650 Hannah Wang: Thanks, guys. Thank you, guys. Bye.
274 00:26:58.890 ⇒ 00:26:59.530 Rico Rejoso: Always.
275 00:27:00.030 ⇒ 00:27:00.540 Uttam: I…