Meeting Title: Marketing Team Standup Date: 2025-06-04 Meeting participants: Ryan Brosas, Hannah Wang, Uttam Kumaran, Raymund Verzosa
WEBVTT
1 00:06:32.680 ⇒ 00:06:41.409 Hannah Wang: Hey? Not sure if Utam is gonna join, so we can just quickly run through. Stand up just us, too.
2 00:06:42.550 ⇒ 00:06:43.510 Ryan Brosas: That’s right.
3 00:06:43.780 ⇒ 00:06:47.830 Hannah Wang: Okay, so let’s see,
4 00:06:50.360 ⇒ 00:06:58.874 Hannah Wang: yeah, design wise. I mean, there’s always like content or assets that we’re designing. So Anne’s working on some of those.
5 00:06:59.890 ⇒ 00:07:08.919 Hannah Wang: I did some interviews for another developer web developer. The past couple of days. And
6 00:07:09.520 ⇒ 00:07:32.019 Hannah Wang: yeah, all the design stuff. And then things that relate to the video. Yeah, I know you asked for the assets for the Matthew Matthew Mathieu. I don’t really know how to pronounce his name. Interview. I’m working on that right now, but I’m not sure if you saw the thread where I asked Robert for feedback on the title but based on his response.
7 00:07:32.365 ⇒ 00:07:43.089 Hannah Wang: And what he kinda chooses and likes. I’ll finish up the thumbnail and like the title screens and then let you know. Let you and Ray know when that’s done.
8 00:07:44.610 ⇒ 00:07:53.910 Hannah Wang: And what else? So that’s currently in progress.
9 00:07:54.800 ⇒ 00:07:55.810 Hannah Wang: Yeah, sorry.
10 00:07:56.360 ⇒ 00:07:57.970 Hannah Wang: Hi, no worries.
11 00:07:58.775 ⇒ 00:08:04.660 Hannah Wang: Just going through like what we’re working on. And I mentioned that making the video
12 00:08:04.840 ⇒ 00:08:12.699 Hannah Wang: designs for the the met material interview. That Robert did. And
13 00:08:13.450 ⇒ 00:08:21.609 Hannah Wang: yeah, I need to review the stuff that Ann did for the partner kits and stuff. And all this that’s in review right now.
14 00:08:25.270 ⇒ 00:08:29.039 Hannah Wang: Yeah. And then.
15 00:08:29.950 ⇒ 00:08:37.819 Hannah Wang: yeah. Worked a lot on like the story brand stuff, just organizing that reading through that preparing for the interview. And then
16 00:08:37.950 ⇒ 00:08:42.940 Hannah Wang: today I will focus probably on
17 00:08:44.039 ⇒ 00:08:54.960 Hannah Wang: where did it go, where’s the urgent one? Oh, this one, the case studies which I know you want to talk about. During this stand up. And then.
18 00:08:55.160 ⇒ 00:09:00.549 Hannah Wang: yeah, any other like ad hoc things and design reviews. I’ll also work on that today.
19 00:09:01.380 ⇒ 00:09:03.839 Hannah Wang: That’s it for me, Ryan. Do you have any updates.
20 00:09:04.750 ⇒ 00:09:15.549 Ryan Brosas: Oh, yeah, not pretty much, but yeah, pretty much focusing on produce like pushing more articles or blog posts.
21 00:09:15.820 ⇒ 00:09:21.580 Ryan Brosas: And yeah, I’ll we are just waiting for the video stuff.
22 00:09:21.790 ⇒ 00:09:28.619 Ryan Brosas: Oh, or we can. I can just pass the what they call this the operating app.
23 00:09:28.810 ⇒ 00:09:35.875 Ryan Brosas: So raymond can do that while waiting like the the Us. Mentioned that
24 00:09:36.380 ⇒ 00:09:36.970 Uttam Kumaran: The audio.
25 00:09:37.100 ⇒ 00:09:38.529 Ryan Brosas: Oh, the one! Yes.
26 00:09:39.430 ⇒ 00:09:48.700 Uttam Kumaran: Yeah, maybe send maybe send that to him. I think my only other thing is like I I sent a I sent a call I had with Kim, which is pixels.
27 00:09:48.900 ⇒ 00:09:57.619 Uttam Kumaran: Content person! Did you happen to see the granola for that, like the Transcript, that one.
28 00:10:00.910 ⇒ 00:10:07.837 Ryan Brosas: I? Yeah, yeah. I think I saw that yesterday. But we’ll read that.
29 00:10:09.080 ⇒ 00:10:18.370 Uttam Kumaran: Yeah, it could be worth reading. I think the biggest feedback she gave me is that we should we should just pick a like we should pick a topic for like
30 00:10:18.470 ⇒ 00:10:23.030 Uttam Kumaran: or a few topics, and just continuously write about that like
31 00:10:24.700 ⇒ 00:10:27.720 Uttam Kumaran: for a bit. So I think, like, maybe
32 00:10:27.820 ⇒ 00:10:37.579 Uttam Kumaran: I know you. I know you have some. You’re you’re writing about a certain couple of topics, but maybe we can discuss that more on, like what? What blogs we’re writing about
33 00:10:39.470 ⇒ 00:10:44.239 Uttam Kumaran: and like, how do we want to focus it on a specific set of things?
34 00:10:44.870 ⇒ 00:10:51.673 Ryan Brosas: Okay, yeah, pretty much our like. The topic that I’m party
35 00:10:52.290 ⇒ 00:10:55.949 Ryan Brosas: targeting is more like it’s more like,
36 00:10:57.400 ⇒ 00:11:05.070 Ryan Brosas: like ascent, like da building focus. Oh, and also like AI, like
37 00:11:05.420 ⇒ 00:11:26.440 Ryan Brosas: the Aio more on that specific focus on the the what they call this the the result of it? Yeah, we can definitely focus on on specific topics. Or I can just proceed on on like repurposing the
38 00:11:26.620 ⇒ 00:11:36.344 Ryan Brosas: the events, I think that’s pretty much like interesting. They have like an interesting topics that they have. And I can just
39 00:11:37.260 ⇒ 00:11:43.920 Ryan Brosas: create each segment, because each each event has, like.
40 00:11:44.400 ⇒ 00:11:52.020 Ryan Brosas: what they call this a chapter. And I could focus on that and building building way up on that.
41 00:11:52.820 ⇒ 00:11:56.649 Uttam Kumaran: Yeah, maybe you can write down. I think we should just plan something for the
42 00:11:57.010 ⇒ 00:12:08.109 Uttam Kumaran: for the quarter, or like we should plan something on like a month by month basis. Because, like, I think, we’re writing about data and AI pretty broadly. But I think we can get a little bit more specific
43 00:12:08.931 ⇒ 00:12:13.080 Uttam Kumaran: and think about like what exactly we want to
44 00:12:13.370 ⇒ 00:12:21.030 Uttam Kumaran: like, what exactly we want to write about but also, like, I wanna make sure we’re start. We keep posting from our company account as well.
45 00:12:26.760 ⇒ 00:12:29.400 Uttam Kumaran: So maybe we can add a ticket just for like.
46 00:12:29.770 ⇒ 00:12:32.089 Uttam Kumaran: think picking a couple of themes
47 00:12:32.540 ⇒ 00:12:36.470 Uttam Kumaran: like per quarter. Maybe that we can focus on
48 00:12:36.640 ⇒ 00:12:40.420 Uttam Kumaran: that way. Also, like we’re not writing about like completely random stuff
49 00:12:40.740 ⇒ 00:12:43.660 Uttam Kumaran: like, we can just focus on the things that are
50 00:12:45.089 ⇒ 00:12:49.499 Uttam Kumaran: the things we know we’ll we’ll like our audience wants to read about.
51 00:12:51.890 ⇒ 00:12:54.553 Uttam Kumaran: And then that way, we can focus any of our
52 00:12:55.110 ⇒ 00:12:59.389 Uttam Kumaran: we can focus our the blog on that piece.
53 00:12:59.540 ⇒ 00:13:02.690 Uttam Kumaran: and then the company account. We can write about that as well.
54 00:13:14.790 ⇒ 00:13:18.154 Hannah Wang: Oh, you already made a ticket. Okay, let me delete mine.
55 00:13:22.670 ⇒ 00:13:23.660 Hannah Wang: Okay.
56 00:13:24.920 ⇒ 00:13:25.860 Ryan Brosas: I’m kidding.
57 00:13:28.180 ⇒ 00:13:28.730 Hannah Wang: All right.
58 00:13:28.730 ⇒ 00:13:32.367 Uttam Kumaran: Yeah, and then the other, the other. The other thing. The one other point she made is that
59 00:13:32.820 ⇒ 00:13:36.990 Uttam Kumaran: She said she. They picked employees once a month.
60 00:13:37.580 ⇒ 00:13:42.690 Uttam Kumaran: or like once a quarter that they like nominated, that would help them
61 00:13:42.920 ⇒ 00:13:51.330 Uttam Kumaran: like create case studies, push content. So maybe similar. We could think about something like that, because I asked her about the employee advocacy stuff.
62 00:13:51.630 ⇒ 00:13:53.159 Uttam Kumaran: and that’s what she said. She did.
63 00:13:54.890 ⇒ 00:14:02.480 Ryan Brosas: Yeah, right now, I’m working with Hi, and I think, we can. We can implement that right away.
64 00:14:03.780 ⇒ 00:14:06.729 Uttam Kumaran: Okay, yeah, maybe like, try it out with Kyle. And then
65 00:14:07.010 ⇒ 00:14:10.930 Uttam Kumaran: let’s think about maybe let’s think about a a plan for
66 00:14:11.240 ⇒ 00:14:17.410 Uttam Kumaran: like, what like we picked someone on the team every month to do like a team spotlight.
67 00:14:17.550 ⇒ 00:14:22.849 Uttam Kumaran: They can help like we can get them to to write some stuff for the blog
68 00:14:23.250 ⇒ 00:14:25.890 Uttam Kumaran: things like that, and they can promote it.
69 00:14:28.280 ⇒ 00:14:32.249 Ryan Brosas: Yeah. I agree with that. That’s a really great idea. Yeah.
70 00:14:32.580 ⇒ 00:14:32.985 Uttam Kumaran: Okay.
71 00:14:33.390 ⇒ 00:14:34.000 Ryan Brosas: Can.
72 00:14:34.500 ⇒ 00:14:35.920 Ryan Brosas: Oh, yes, no.
73 00:14:43.520 ⇒ 00:14:45.969 Hannah Wang: Ray, did you have an update for us.
74 00:14:46.950 ⇒ 00:14:49.690 Raymund Verzosa: Oh, I’m just waiting for the title.
75 00:14:50.650 ⇒ 00:14:53.586 Hannah Wang: Okay, yeah, yeah. I
76 00:14:54.310 ⇒ 00:15:02.370 Hannah Wang: mentioned this earlier. But basically, I just want, like Robert’s feedback on the title and the thumbnail quote.
77 00:15:02.370 ⇒ 00:15:02.700 Raymund Verzosa: And for.
78 00:15:02.700 ⇒ 00:15:12.559 Hannah Wang: 1st so I’ll just wait for him to. I pinged him. I’ll wait for him to take a look at my suggestions, and then, based on that, I’ll finish up the designs
79 00:15:12.750 ⇒ 00:15:16.570 Hannah Wang: for the Mathew interview that Robert did
80 00:15:18.140 ⇒ 00:15:20.140 Uttam Kumaran: That’ll go out on next Tuesday.
81 00:15:22.786 ⇒ 00:15:28.030 Hannah Wang: I don’t know, Ryan, what’s our schedule looking like matrix Assembly?
82 00:15:31.780 ⇒ 00:15:33.929 Hannah Wang: Next Tuesday. Looks like it’s
83 00:15:34.170 ⇒ 00:15:39.479 Hannah Wang: an operating a post on the company, Linkedin for the operating event.
84 00:15:44.050 ⇒ 00:15:44.840 Ryan Brosas: Page.
85 00:15:53.172 ⇒ 00:16:13.990 Ryan Brosas: Yeah, for next week. Yeah, it’s not. This is not like definitive. If we’re going to like if we’re going to push like Matt’s video. If we’re going to like, have the video right away, I can get the the announcement.
86 00:16:14.280 ⇒ 00:16:17.379 Ryan Brosas: Then a speaker spotlight.
87 00:16:18.640 ⇒ 00:16:30.560 Ryan Brosas: I think, we can, we can just focus on 2 posts, I guess, for next week. If we can get the video out like the whole, the draft to order the last draft.
88 00:16:32.040 ⇒ 00:16:35.350 Hannah Wang: Yeah, I think we agreed for interviews.
89 00:16:35.778 ⇒ 00:16:47.919 Hannah Wang: We’re just gonna have 2 posts, one Speaker, spotlight, and then one post for the actual video. The speaker spotlight is done. I’ll I’ll put it in the ticket and then tag you guys in it
90 00:16:48.597 ⇒ 00:16:53.599 Hannah Wang: or tag you, ryan in it, and then, yeah, the video.
91 00:16:54.360 ⇒ 00:17:05.070 Hannah Wang: yeah, I just want, like Robert’s feedback. But I know he’s a bit away from keyboard these this week. So, depending on how when he gets back to me. I think we can
92 00:17:05.230 ⇒ 00:17:09.370 Hannah Wang: edit and post accordingly. But I’ll keep you guys posted on that.
93 00:17:10.589 ⇒ 00:17:11.229 Ryan Brosas: Alright!
94 00:17:11.470 ⇒ 00:17:15.199 Raymund Verzosa: Yeah, I can work on other stuff while waiting for it.
95 00:17:16.216 ⇒ 00:17:22.450 Ryan Brosas: Yeah, I’ll be sending the operating app you can work on the audio on that.
96 00:17:22.849 ⇒ 00:17:23.680 Raymund Verzosa: Okay.
97 00:17:24.490 ⇒ 00:17:26.699 Hannah Wang: Yeah. And then if once that’s done, you can.
98 00:17:26.700 ⇒ 00:17:30.869 Uttam Kumaran: Is that for for Robert is that is that actually just a is that actually just a picture.
99 00:17:33.320 ⇒ 00:17:35.939 Hannah Wang: Sorry. What Robert’s what.
100 00:17:35.940 ⇒ 00:17:40.679 Uttam Kumaran: I said, for for Robert’s feedback, is it? Just pick feedback on an image.
101 00:17:41.200 ⇒ 00:17:46.955 Hannah Wang: No, it’s feedback on the title like title of the video and thumbnail, like, you know how I tagged you in
102 00:17:47.870 ⇒ 00:17:51.829 Hannah Wang: the operating one. And then you like, change the title. Yeah.
103 00:17:52.630 ⇒ 00:17:57.999 Uttam Kumaran: Can you tell me that he’s texting me so I’ll just text it to him.
104 00:17:58.480 ⇒ 00:18:00.830 Hannah Wang: Oh, okay, I’ll tag you in the thread.
105 00:18:02.990 ⇒ 00:18:03.690 Uttam Kumaran: Okay.
106 00:18:15.310 ⇒ 00:18:25.989 Hannah Wang: Okay. Alright. So yeah, I don’t know Utam. If you want to talk about the
107 00:18:26.200 ⇒ 00:18:29.959 Hannah Wang: what is it? This one, the AI case studies.
108 00:18:33.310 ⇒ 00:18:39.867 Uttam Kumaran: Yeah, I still haven’t not had a chance to look so. I don’t want to waste your time. I’m just like,
109 00:18:40.820 ⇒ 00:18:47.899 Uttam Kumaran: I guess. Tell me like, I guess. Well, give me your feedback and and allows me to move
110 00:18:49.950 ⇒ 00:18:52.089 Uttam Kumaran: But what is your feedback overall?
111 00:18:53.680 ⇒ 00:18:55.960 Hannah Wang: My feedback is, I would just
112 00:18:56.650 ⇒ 00:19:06.478 Hannah Wang: do the ones that are most interesting. But what’s most interesting to me is, I don’t know if that’s what you you wanna make a case study on
113 00:19:08.080 ⇒ 00:19:11.849 Hannah Wang: or I guess also, like I would stuff today, help inform
114 00:19:20.090 ⇒ 00:19:25.349 Hannah Wang: I haven’t thought about that. Let me let me think about that and get back to you about it. Then.
115 00:19:26.830 ⇒ 00:19:34.150 Hannah Wang: yeah, cause like, we’re sending these out to like our Icp basically, right?
116 00:19:35.520 ⇒ 00:19:36.469 Uttam Kumaran: That’s correct.
117 00:19:38.060 ⇒ 00:19:47.329 Hannah Wang: Okay, yeah, let me think about that with a new framework in mind, and then kind of give my 2 cents on which ones we should prioritize.
118 00:19:48.230 ⇒ 00:19:52.740 Hannah Wang: But I guess it’s a bit tricky, because it’s all like AI related.
119 00:19:53.540 ⇒ 00:19:58.490 Hannah Wang: And it’s not. I guess there is data in it. But yeah.
120 00:20:05.740 ⇒ 00:20:10.589 Uttam Kumaran: Okay, yeah, I’ll I’m gonna I’m gonna work on it. Now. I’ll finish it up. And
121 00:20:14.320 ⇒ 00:20:22.179 Uttam Kumaran: yeah, let’s see. I I’m I’m just interested. Even if the loom size worked overall.
122 00:20:24.660 ⇒ 00:20:28.850 Hannah Wang: Sorry you’re getting a bit cut off. You’re you were wondering if the loom.
123 00:20:29.150 ⇒ 00:20:30.350 Hannah Wang: what part of the loom were.
124 00:20:30.350 ⇒ 00:20:36.769 Uttam Kumaran: Like. If, if if the process even works like doing loom to case, study.
125 00:20:37.440 ⇒ 00:20:45.869 Hannah Wang: Oh, yeah, I mean, the loom is really short, so I don’t know if, like Chat gpt made.
126 00:20:45.870 ⇒ 00:20:46.359 Uttam Kumaran: I’m stuck.
127 00:20:47.110 ⇒ 00:20:49.190 Hannah Wang: Hallucinated or whatever.
128 00:20:49.630 ⇒ 00:20:55.210 Hannah Wang: Yeah, then the zoom, the zoom internal search
129 00:20:55.410 ⇒ 00:21:03.849 Hannah Wang: meeting thing. Demo that you send out is probably the best one, because there’s a lot of lot more like context to that one, and the meeting is longer.
130 00:21:04.160 ⇒ 00:21:09.760 Hannah Wang: So I feel like, probably that one has the most accurate information.
131 00:21:10.650 ⇒ 00:21:11.350 Uttam Kumaran: Okay.
132 00:21:12.720 ⇒ 00:21:13.380 Hannah Wang: Yeah.
133 00:21:15.480 ⇒ 00:21:17.229 Hannah Wang: But I mean, it’s like
134 00:21:17.880 ⇒ 00:21:28.339 Hannah Wang: putting together the one pager. I don’t think it should take that long, because we already have. Like the structure down. It’s just me like copy pasting stuff and finding icons
135 00:21:28.460 ⇒ 00:21:36.670 Hannah Wang: and same for the slide deck. So don’t worry if you can’t like get to it today, like I, I think I can get that done within like
136 00:21:37.010 ⇒ 00:21:41.249 Hannah Wang: 3 h or so. I can work on it tomorrow, too. So.
137 00:21:41.470 ⇒ 00:21:46.520 Uttam Kumaran: And and the we use this case. Study like questionnaire, prompt thing, right?
138 00:21:48.110 ⇒ 00:21:57.969 Hannah Wang: Yeah, I well, yeah, let me just share my screen. Where is notion?
139 00:21:59.610 ⇒ 00:22:02.310 Hannah Wang: So oops.
140 00:22:03.480 ⇒ 00:22:09.140 Hannah Wang: So I saw that you came up with this prompt, which I think is
141 00:22:09.330 ⇒ 00:22:13.620 Hannah Wang: a condensed version of the questionnaire that I came up with.
142 00:22:15.590 ⇒ 00:22:19.050 Hannah Wang: So I just used this prompt, and then I gave
143 00:22:19.250 ⇒ 00:22:29.989 Hannah Wang: it the Transcript. And then it came up with these 6 points, and then I again I prompted it again. And I was like, Okay, now with this like, give me
144 00:22:30.190 ⇒ 00:22:32.089 Hannah Wang: the information
145 00:22:32.370 ⇒ 00:22:41.039 Hannah Wang: based on, like the structure that we have on the one pager, which is like context, challenge, solution. Result, all that stuff. And then that’s
146 00:22:41.530 ⇒ 00:22:46.730 Hannah Wang: kind of what I posted in notion
147 00:22:47.920 ⇒ 00:22:57.610 Hannah Wang: so like this is from that. This is from this prompt here on the second tab, like all of this, and then I like reprompted it to reformat it.
148 00:22:57.960 ⇒ 00:23:02.580 Hannah Wang: to have like challenge. Blah, blah, so yeah.
149 00:23:03.710 ⇒ 00:23:20.369 Uttam Kumaran: I think it’s fine. I’m just gonna I’m I’m gonna try to think about other meetings. I mean, one feature that we’re doing is that we’re gonna we’re gonna allow a way for you to chat over like a bunch of meetings on a topic. So there’s probably like 10 meetings where I’ve talked about like some of this stuff.
150 00:23:20.500 ⇒ 00:23:25.569 Uttam Kumaran: So we’ll find those. And then basically, it’ll make it easier to create these case studies.
151 00:23:28.190 ⇒ 00:23:31.420 Uttam Kumaran: But yeah, I’ll I’ll fill in the gaps, and then we’ll just rip them.
152 00:23:31.800 ⇒ 00:23:34.290 Uttam Kumaran: Something’s better than nothing at the moment.
153 00:23:35.050 ⇒ 00:23:37.589 Uttam Kumaran: Cause a lot of our stuff is is data focused.
154 00:23:38.970 ⇒ 00:23:43.440 Hannah Wang: Do you want? Do you need help like picking 2 out of the 5.
155 00:23:45.208 ⇒ 00:23:47.790 Uttam Kumaran: I’ll look at. I’ll look at it, and I’ll I’ll let you know.
156 00:23:47.930 ⇒ 00:23:48.830 Hannah Wang: Okay?
157 00:23:49.770 ⇒ 00:23:58.129 Hannah Wang: And then just just so, I know, like you want it end of week, so that you can send it to people like, did you tell people we’d send you something by Friday?
158 00:23:58.250 ⇒ 00:24:02.209 Uttam Kumaran: No, I’m late on it, and Robert asked me for it
159 00:24:02.520 ⇒ 00:24:06.390 Uttam Kumaran: last week, and I didn’t do it
160 00:24:08.110 ⇒ 00:24:14.890 Uttam Kumaran: And then so yeah, I guess you let me know if it’s like, Hey, we can get one of these done this week and one next week. Then
161 00:24:15.440 ⇒ 00:24:24.090 Uttam Kumaran: let’s aim for that, and I can tell you which one to prioritize if I get it done today, and maybe you think you can get both of them by Friday. That could be nice to either one
162 00:24:24.410 ⇒ 00:24:28.960 Uttam Kumaran: as long as we have one as soon as we can. That’s more important.
163 00:24:29.690 ⇒ 00:24:36.429 Hannah Wang: Okay, that that should be doable by Friday. I think 2 is doable. I’ll keep you posted on that, though.
164 00:24:36.950 ⇒ 00:24:37.920 Uttam Kumaran: Okay. Okay.
165 00:24:38.720 ⇒ 00:24:39.270 Hannah Wang: Yeah.
166 00:24:40.822 ⇒ 00:24:44.519 Hannah Wang: Okay, anything else for today, before we close.
167 00:24:47.520 ⇒ 00:24:51.539 Ryan Brosas: Nothing on my side. Already mentioned. All of it.
168 00:24:53.100 ⇒ 00:24:53.970 Hannah Wang: Okay.
169 00:24:54.300 ⇒ 00:24:57.340 Hannah Wang: Alright. Sounds good. Thanks. Everyone have a good day.
170 00:24:57.340 ⇒ 00:24:57.950 Uttam Kumaran: Thank you.
171 00:24:58.510 ⇒ 00:24:59.590 Ryan Brosas: Thank you.