Meeting Title: Meeting with Hannah (Marketing Team) Date: 2025-07-17 Meeting participants: Hannah Wang, Vishnu
WEBVTT
1 00:00:29.500 ⇒ 00:00:30.660 Hannah Wang: Hello!
2 00:00:35.800 ⇒ 00:00:36.909 Vishnu: Hey! Hi! Hannah!
3 00:00:37.680 ⇒ 00:00:39.020 Hannah Wang: Hi! How’s it going.
4 00:00:39.968 ⇒ 00:00:41.579 Vishnu: It’s going good. How about you?
5 00:00:42.140 ⇒ 00:00:43.240 Hannah Wang: I’m doing well.
6 00:00:45.380 ⇒ 00:00:46.120 Vishnu: Yes.
7 00:00:46.280 ⇒ 00:00:49.289 Hannah Wang: I don’t know if Rico is going to
8 00:00:49.900 ⇒ 00:00:53.697 Hannah Wang: join, and I know Abigail had to.
9 00:00:55.673 ⇒ 00:01:00.476 Hannah Wang: Abigail. Yeah, she’s not. She can’t join us anymore.
10 00:01:01.500 ⇒ 00:01:02.500 Vishnu: Oh, okay.
11 00:01:03.190 ⇒ 00:01:06.390 Hannah Wang: Or yeah. Oh, I don’t know if you heard, but
12 00:01:07.260 ⇒ 00:01:13.920 Hannah Wang: She had some personal things come up so I don’t think she’s able to
13 00:01:14.360 ⇒ 00:01:16.760 Hannah Wang: continue the internship with us.
14 00:01:18.267 ⇒ 00:01:19.670 Vishnu: I see. Okay.
15 00:01:20.070 ⇒ 00:01:25.699 Hannah Wang: At least that’s that’s what I’ve heard, but I don’t know if things have changed So
16 00:01:25.930 ⇒ 00:01:27.780 Hannah Wang: yeah, I don’t know if you
17 00:01:28.360 ⇒ 00:01:33.609 Hannah Wang: had any, I guess, like updates for the
18 00:01:33.820 ⇒ 00:01:44.149 Hannah Wang: the tracker or the dashboard for the marketing team, I guess. Or if you had any questions or wanted to talk through things we can use today to do that.
19 00:01:46.098 ⇒ 00:01:50.481 Vishnu: Yes. So for the dashboard aspect I still
20 00:01:51.790 ⇒ 00:02:02.782 Vishnu: like after I spoke to you last time I did not get time to like. Go and go back to avish and talk to him about that. I had other tasks on the
21 00:02:03.510 ⇒ 00:02:15.930 Vishnu: task board which I did not like. Yeah, I was not able to complete those itself because of, like again, some personal like stuff that came up, and I was not able to like. Give a lot of time to the
22 00:02:16.070 ⇒ 00:02:19.850 Vishnu: work here. But then, yeah.
23 00:02:20.530 ⇒ 00:02:27.860 Vishnu: So I just so avish gave me put another task on the Task board. He asked me to like, gather data from
24 00:02:27.980 ⇒ 00:02:35.590 Vishnu: you and Ryan as to like what sort of metrics are going to matter the most. For y’all.
25 00:02:35.820 ⇒ 00:02:38.380 Vishnu: while we build the dashboard.
26 00:02:43.040 ⇒ 00:02:49.690 Hannah Wang: yeah, well, I think there, let me just share my screen.
27 00:02:52.846 ⇒ 00:02:57.653 Hannah Wang: So this, I think, I shared this last meeting, we had,
28 00:02:58.520 ⇒ 00:03:02.740 Hannah Wang: Sorry you’re asking me, maybe to give you.
29 00:03:03.020 ⇒ 00:03:08.120 Hannah Wang: I guess the top out of each of these sections, or, okay.
30 00:03:08.120 ⇒ 00:03:15.729 Vishnu: No like the most important ones out of these, or like would you say? Like all 5 of those are important, like the most important
31 00:03:16.240 ⇒ 00:03:25.860 Vishnu: for you to get the entire picture like, because, yeah, I I don’t know how the dashboard is going to look and how much space we will have.
32 00:03:25.970 ⇒ 00:03:33.998 Vishnu: But then, if you say all yeah, we need all 5 for sure. Then we’ll figure out something like we might add multiple pages like,
33 00:03:34.510 ⇒ 00:03:37.408 Vishnu: I know tableau allows us to do that. But
34 00:03:39.470 ⇒ 00:03:42.750 Hannah Wang: I will have to like. Talk to avish about it.
35 00:03:43.040 ⇒ 00:03:55.329 Hannah Wang: Okay, for Linkedin. Let me ask Ryan because he he’s kind of the person that has been tracking that so far. And then for the website.
36 00:03:56.290 ⇒ 00:04:09.120 Hannah Wang: let me also think about this as well. I can leave comments in this notion, Doc, and this this Doc, is linked in our meeting calendar invite. So you have access to it. And then for campaigns.
37 00:04:09.740 ⇒ 00:04:18.852 Hannah Wang: I think. Yeah, I think there’s there’s not too many metrics for campaigns.
38 00:04:21.880 ⇒ 00:04:27.209 Hannah Wang: well, Tom’s the one who created this document. I think so. I think it’d be helpful to have
39 00:04:27.390 ⇒ 00:04:29.409 Hannah Wang: all of them, if possible.
40 00:04:30.098 ⇒ 00:04:34.640 Hannah Wang: For the campaign. Doc, and then.
41 00:04:35.570 ⇒ 00:04:38.436 Hannah Wang: yeah, I already had Mustafa
42 00:04:39.370 ⇒ 00:04:43.740 Hannah Wang: Do this as well, so you can ignore the this one. But
43 00:04:44.080 ⇒ 00:04:57.361 Hannah Wang: let me get back to you. I’ll ping you in the intern channel or something when I have an update for you, but I can give you the ones that we want you to prioritize. And that would be the most helpful for us.
44 00:04:58.560 ⇒ 00:04:59.510 Vishnu: Okay. Okay.
45 00:04:59.510 ⇒ 00:05:01.969 Hannah Wang: Yeah. And we can do that Async as well.
46 00:05:02.540 ⇒ 00:05:17.080 Vishnu: Yeah, okay. So so what avish wanted me to do is he told me to like, make a notion, Doc, with all the metrics. So once you send me those on like via text. I like update it on the notion, Doc.
47 00:05:17.560 ⇒ 00:05:18.310 Vishnu: and.
48 00:05:18.310 ⇒ 00:05:23.069 Hannah Wang: Do you have a separate notion, dog? You can send him this document if.
49 00:05:23.090 ⇒ 00:05:33.710 Vishnu: Just this. Okay? So like, once, you tell me, then, should I just highlight those important ones here? Okay, yeah. I think that’s a better thing to do right, because we’ll have it all at one place.
50 00:05:33.860 ⇒ 00:05:36.409 Hannah Wang: I’ll I’ll organize the document.
51 00:05:37.160 ⇒ 00:05:37.780 Vishnu: But okay.
52 00:05:37.780 ⇒ 00:05:42.080 Hannah Wang: The ones that we want prioritized. And then you can just share this with a wish.
53 00:05:42.900 ⇒ 00:05:45.050 Hannah Wang: I think it’s yeah. So
54 00:05:45.610 ⇒ 00:05:48.320 Hannah Wang: yeah, you can just share this document with him after.
55 00:05:49.580 ⇒ 00:05:54.120 Vishnu: Got it. Okay, yeah, I’ll do that. Then. Apart from that,
56 00:05:54.640 ⇒ 00:06:00.021 Vishnu: what are your like? Current pain points so and like,
57 00:06:00.770 ⇒ 00:06:03.799 Vishnu: yeah, what are your current pain points with like reporting.
58 00:06:05.407 ⇒ 00:06:10.063 Hannah Wang: Well, I think with marketing.
59 00:06:11.000 ⇒ 00:06:13.529 Hannah Wang: I guess a couple of months ago we haven’t had.
60 00:06:14.330 ⇒ 00:06:21.894 Hannah Wang: We were just basically bootstrapping all these initiatives together. So we didn’t really focus on tracking
61 00:06:22.700 ⇒ 00:06:25.160 Hannah Wang: metrics or anything. So I guess
62 00:06:25.460 ⇒ 00:06:28.240 Hannah Wang: the biggest pain point is just trying to
63 00:06:28.889 ⇒ 00:06:42.529 Hannah Wang: get all these metrics tracked so that we can see what’s actually working and what’s not and measuring everything. Because, yeah, before, we weren’t really measuring things because we were just trying to get the scaffolding of the marketing
64 00:06:42.670 ⇒ 00:06:46.941 Hannah Wang: stuff down. But now that we kind of have everything set up
65 00:06:47.700 ⇒ 00:06:52.609 Hannah Wang: I guess my pain point is like, I’m not the best with, like.
66 00:06:53.340 ⇒ 00:06:58.158 Hannah Wang: excel sheets and like data and stuff like that. So
67 00:06:58.820 ⇒ 00:07:09.400 Hannah Wang: that’s why we have data people on our team. So I can, I guess. Ask them to build stuff for me. But yeah, that that would be the biggest pain point is just like getting these metrics so that we can look
68 00:07:10.660 ⇒ 00:07:25.615 Hannah Wang: look at everything. And I know we have post talk set up for the website. But as I kind of mentioned before. I think that’s pretty overwhelming. There’s just like a lot of information on post talk. So
69 00:07:26.140 ⇒ 00:07:33.600 Hannah Wang: I guess, on top of not having these metrics. The other pain point is just me being able to analyze it and like.
70 00:07:33.790 ⇒ 00:07:43.490 Hannah Wang: come to a conclusion and make decisions based off the data like that’s, I guess something I need to grow into, and that’s kind of difficult for me. So
71 00:07:43.950 ⇒ 00:07:48.539 Hannah Wang: any way, you can make the dashboard look nice and clean and
72 00:07:48.860 ⇒ 00:07:58.159 Hannah Wang: like user friendly. That’d be user friendly for non data people. That’d be that’d be helpful.
73 00:07:58.460 ⇒ 00:08:17.366 Vishnu: Okay since since you brought it up that you’re not. You’re not comfortable with excel and like data. So I’m just trying to understand like would it be better if you would get your reports in? Let’s say in text format, like a summary kind of thing like with bunch of
74 00:08:18.300 ⇒ 00:08:25.630 Vishnu: And you know, like how chat Gpt responds. Something like that, or a dashboard is a better fit.
75 00:08:29.010 ⇒ 00:08:37.069 Hannah Wang: So I guess. Let me share my screen. I feel like dashboard is okay. But
76 00:08:37.280 ⇒ 00:08:43.779 Hannah Wang: I think, for example, like post hoc, like. I guess
77 00:08:46.570 ⇒ 00:08:48.703 Hannah Wang: I guess this is fine.
78 00:08:49.600 ⇒ 00:08:51.729 Hannah Wang: cause this is a dashboard, right? This is what like.
79 00:08:51.730 ⇒ 00:08:52.400 Vishnu: Yes. Yeah.
80 00:08:52.400 ⇒ 00:08:54.339 Hannah Wang: Data, biz, kind of looks like. So.
81 00:09:01.660 ⇒ 00:09:12.270 Hannah Wang: I think this is okay. Maybe I just haven’t sat down and like gone through each section of this page. And maybe that’s why it looks like overwhelming for me. But
82 00:09:12.980 ⇒ 00:09:14.410 Hannah Wang: maybe, if, like
83 00:09:14.960 ⇒ 00:09:25.990 Hannah Wang: dashboard is good, I think if either I take the time to look through the dashboard and understand it, or if someone walks me through it, those would both be like helpful in terms of
84 00:09:26.900 ⇒ 00:09:38.010 Hannah Wang: just like understanding. Yeah, I think text is not preferred for me, because I am a visual person. So, seeing like trends and lines like this, and like visuals, are helpful.
85 00:09:38.900 ⇒ 00:09:41.710 Vishnu: Okay, yeah, okay, yeah, yeah.
86 00:09:42.758 ⇒ 00:09:45.971 Vishnu: And oh, okay, I get that. Then
87 00:09:47.140 ⇒ 00:09:51.630 Vishnu: are there. So you said you, you would prefer a dashboard right? And.
88 00:09:51.630 ⇒ 00:09:52.140 Hannah Wang: Yeah.
89 00:09:52.140 ⇒ 00:09:54.879 Vishnu: A dashboard. Yes, a picture would say like.
90 00:09:55.150 ⇒ 00:09:56.849 Vishnu: say a thousand words, and like.
91 00:09:56.850 ⇒ 00:09:57.640 Hannah Wang: Yes.
92 00:09:57.640 ⇒ 00:10:04.840 Vishnu: Yeah. So then, are there like specific types of visualizations or like.
93 00:10:05.190 ⇒ 00:10:14.509 Hannah Wang: We just based off the data we are like, Hey, this is the best thing. I think I’m gonna use for this. Let’s say a time series analysis. Yes, you’ll see like a line chart with
94 00:10:14.510 ⇒ 00:10:14.920 Hannah Wang: right.
95 00:10:14.920 ⇒ 00:10:27.620 Vishnu: Like you’re just seeing here. But then, like. So what I’m trying to ask you is like, are there certain visualization types that you prefer? Are there color schemas that you prefer.
96 00:10:27.620 ⇒ 00:10:28.370 Hannah Wang: Oh!
97 00:10:28.370 ⇒ 00:10:29.060 Vishnu: Lines.
98 00:10:32.230 ⇒ 00:10:37.755 Hannah Wang: I think this is good stuff like this is good. I don’t really mind the color scheme.
99 00:10:38.450 ⇒ 00:10:39.210 Vishnu: Okay.
100 00:10:39.970 ⇒ 00:10:46.900 Hannah Wang: But yeah, just like charts that are like clearly labeled and.
101 00:10:48.940 ⇒ 00:10:51.540 Vishnu: Got it. Yeah, I guess I so I think we’ll.
102 00:10:51.540 ⇒ 00:10:52.590 Hannah Wang: Go ahead! Oh, go ahead!
103 00:10:52.590 ⇒ 00:10:58.140 Vishnu: No, I was saying, we’ll just get started, and as we get started, then you can like keep giving us feedback.
104 00:10:58.790 ⇒ 00:11:04.350 Hannah Wang: Yeah, because I I don’t mind like the in depthness of everything. I think maybe it’s just
105 00:11:04.470 ⇒ 00:11:08.869 Hannah Wang: I just have to sit down and like go through it and
106 00:11:10.000 ⇒ 00:11:21.880 Hannah Wang: like evaluate everything cause. Obviously, like, if you kind of look at this as a whole, there’s like so much information. And so many things you can kind of like play around with and analyze. But
107 00:11:22.360 ⇒ 00:11:27.930 Hannah Wang: I think that’s just on me to kind of yeah, just like dig through
108 00:11:27.930 ⇒ 00:11:47.000 Hannah Wang: each of these metrics and evaluate it. But yeah, I think anything. Anything is better than nothing, I think. For, like Linkedin. And I mean, I guess we have website stuff here. But just having one centralized place for all the marketing efforts that we’re doing that’d be that’d be great.
109 00:11:47.490 ⇒ 00:12:04.719 Vishnu: Okay, got it? And another point that I’m looking at is like, Okay, how do you align the dashboard with the scope of like. So what is the workflow of your actual campaign, or like con and content lifecycle? So if you if you like.
110 00:12:05.159 ⇒ 00:12:15.990 Vishnu: I don’t know how we are gonna incorporate that into the dashboard. But that that’s a point that avish wanted is put here. So so yeah, I’m I’m I’m putting it forward to you.
111 00:12:16.700 ⇒ 00:12:23.599 Vishnu: As to like what does like the campaign workflow, look like or like the do you have like a content lifecycle of like?
112 00:12:24.404 ⇒ 00:12:27.880 Vishnu: This campaign is going to be Xyz content.
113 00:12:29.270 ⇒ 00:12:35.420 Hannah Wang: Yeah, I mean this whole initiative like campaign stuff. We’re just kicking off.
114 00:12:35.620 ⇒ 00:12:46.917 Hannah Wang: I guess, like campaigns in general. But I think each campaign is kind of different. So you can see the type here. Some of them are like videos. Some of them are just like
115 00:12:47.460 ⇒ 00:12:51.659 Hannah Wang: recruiting. So using hey, reach and automations to
116 00:12:52.330 ⇒ 00:12:55.260 Hannah Wang: send out emails or Linkedin messages.
117 00:12:55.510 ⇒ 00:13:00.139 Hannah Wang: Some of them are Linkedin content. So that’ll include like
118 00:13:00.310 ⇒ 00:13:04.230 Hannah Wang: posts on Linkedin, like carousels on Linkedin.
119 00:13:05.092 ⇒ 00:13:10.950 Hannah Wang: Some of them we’ll be like sending out our sales assets to
120 00:13:11.070 ⇒ 00:13:14.960 Hannah Wang: leads. So I feel like each campaign is pretty
121 00:13:15.200 ⇒ 00:13:21.590 Hannah Wang: different. But this is the dash. This is the table that Utam built out so
122 00:13:22.155 ⇒ 00:13:29.379 Hannah Wang: like tracking. I mean, some of them are na for some campaigns, because they won’t involve Linkedin.
123 00:13:29.760 ⇒ 00:13:30.400 Vishnu: Okay.
124 00:13:31.380 ⇒ 00:13:34.549 Hannah Wang: Like recruiting, like finding a Pm in Texas like
125 00:13:34.870 ⇒ 00:13:41.679 Hannah Wang: we’re not gonna ha make Linkedin post about it. It’s just gonna be outbound emails or messages. So
126 00:13:45.580 ⇒ 00:13:49.299 Vishnu: Okay, cool. Yeah. Does that answer your question? Sorry?
127 00:13:49.300 ⇒ 00:13:56.720 Vishnu: Yes, I mean, yeah. So these are the different kind of like campaigns. So, okay? And
128 00:13:57.160 ⇒ 00:14:02.573 Vishnu: and with respect to content, for example, there is a. Q. 3. Linkedin content.
129 00:14:03.570 ⇒ 00:14:06.149 Vishnu: I’m seeing there. So like, yeah.
130 00:14:08.874 ⇒ 00:14:17.639 Vishnu: from what I’m seeing like the owner is Ryan. So like I’m I’m just assuming that, like you would not have context about what kind of content is going
131 00:14:17.960 ⇒ 00:14:18.970 Vishnu: is being.
132 00:14:20.020 ⇒ 00:14:23.230 Vishnu: Like, I, I kind of do served to. Okay.
133 00:14:23.230 ⇒ 00:14:26.340 Hannah Wang: I kind of do so. Yeah, I guess, like.
134 00:14:26.600 ⇒ 00:14:31.179 Hannah Wang: I can kind of walk through each type. So sales partnerships.
135 00:14:31.560 ⇒ 00:14:36.909 Hannah Wang: so partnerships. I’m in charge of. So these involve either like
136 00:14:37.070 ⇒ 00:14:41.179 Hannah Wang: sales assets. That we co
137 00:14:41.811 ⇒ 00:14:59.069 Hannah Wang: create with our partner. And then we like send out to leads or clients. It might also involve, like making partnership announcements on Linkedin. So regard all of those things like we just want to track like. Oh, how many leads did we get from that initiative? Like, how many?
138 00:14:59.390 ⇒ 00:15:06.490 Hannah Wang: Yeah, how many meetings are booked? How many yeah. Stuff like that? So that’s like partnership outreach
139 00:15:07.380 ⇒ 00:15:10.880 Hannah Wang: events and go to market is more so like
140 00:15:11.594 ⇒ 00:15:32.929 Hannah Wang: for example, this is a conference that Robert attended 2 days ago here in La, and basically what he asked Robert Ryan to do was to scrape everyone that’s like attending or speaking at the conference so that we can like message them and like reach out to them. So that involves like emails. And
141 00:15:33.470 ⇒ 00:15:43.876 Hannah Wang: yeah, just sending messages on Linkedin or emails. So that’s like outreach and events and go to market. Direct sales outbound is
142 00:15:45.290 ⇒ 00:15:51.089 Hannah Wang: This is Sid’s work. So she does like sales stuff. So this is just like
143 00:15:51.530 ⇒ 00:16:00.808 Hannah Wang: using gig radar which I think is sending Linkedin messages like helps you automate Linkedin messages. So this is just like cold outbound, I think.
144 00:16:01.380 ⇒ 00:16:04.790 Hannah Wang: to reach out to potential like to client to leads.
145 00:16:05.490 ⇒ 00:16:06.110 Vishnu: Copy.
146 00:16:06.640 ⇒ 00:16:07.610 Hannah Wang: And then.
147 00:16:07.860 ⇒ 00:16:21.069 Hannah Wang: so yeah, so awareness is just promoting Utam and Robert’s Linkedin accounts. So if you look at Utam’s linkedin like we’re always posting content on there whether it’s like thought, leadership posts or
148 00:16:21.190 ⇒ 00:16:31.119 Hannah Wang: highlight post or like. Oh, I went to this event. This is what I learned. So that’s kind of the campaign that we’re running for. Q. 3 for Robert and Tom’s Linkedin accounts.
149 00:16:31.550 ⇒ 00:16:48.350 Hannah Wang: because I think they have like a pretty solid following on Linkedin. And if we kind of show that we’re like active, and that we’re actually there’s like people behind Brainforge. That’ll just help with humanize our company in general.
150 00:16:48.900 ⇒ 00:16:58.994 Hannah Wang: And then, lastly, yeah, like recruiting, this is pretty straightforward. We’re just trying to find people to work for a company. So this is again, like emails and Linkedin messages and stuff
151 00:16:59.650 ⇒ 00:17:03.215 Vishnu: And as of now, how are we tracking the
152 00:17:04.310 ⇒ 00:17:07.439 Vishnu: you know. Content performance on Linkedin.
153 00:17:08.050 ⇒ 00:17:10.640 Hannah Wang: Yeah. So I think, Linkedin, you can ask
154 00:17:10.960 ⇒ 00:17:16.829 Hannah Wang: Ryan. I I think he did try to set up a Hubspot integration or no Hubspot.
155 00:17:17.160 ⇒ 00:17:37.060 Hannah Wang: what is this post hog integration? Using make or zapier? I don’t really know. But I don’t think it’s working right now. But yeah, you can ask Ryan, I think Linkedin has its own like dashboard, where you can see metrics, I think. Let me.
156 00:17:37.390 ⇒ 00:17:39.253 Hannah Wang: This is for me.
157 00:17:39.910 ⇒ 00:17:42.759 Hannah Wang: I oh, here we go.
158 00:17:43.910 ⇒ 00:17:48.189 Hannah Wang: Yeah. So there’s some analytics here. On Linkedin itself
159 00:17:49.780 ⇒ 00:17:55.459 Hannah Wang: in terms of like the content. And how many impressions we got? So obviously like this?
160 00:17:55.820 ⇒ 00:17:56.840 Hannah Wang: This is being tracked.
161 00:17:56.840 ⇒ 00:18:03.359 Vishnu: Yeah, yeah, we can do like an Api call and try just all this data. Okay, yeah.
162 00:18:04.240 ⇒ 00:18:13.930 Hannah Wang: Yeah, so that everything is just kind of like everywhere, like in different sources. And we just want one place where we can like kind of see everything and kind of click through different tabs and
163 00:18:14.060 ⇒ 00:18:15.020 Hannah Wang: see
164 00:18:16.130 ⇒ 00:18:16.880 Hannah Wang: What.
165 00:18:16.880 ⇒ 00:18:17.550 Vishnu: Yes.
166 00:18:17.550 ⇒ 00:18:18.170 Hannah Wang: There!
167 00:18:18.780 ⇒ 00:18:20.459 Vishnu: Okay. Okay. Yeah.
168 00:18:20.640 ⇒ 00:18:30.889 Hannah Wang: So and then I think, for like campaign stuff. Yeah, I don’t know. Like.
169 00:18:33.410 ⇒ 00:18:40.580 Hannah Wang: like, I’m wondering if we should just like use this sheet as
170 00:18:40.730 ⇒ 00:18:46.089 Hannah Wang: the source of truth, instead of building out like a separate dashboard for
171 00:18:46.260 ⇒ 00:18:52.539 Hannah Wang: campaign work. I mean, this, like Linkedin, has overlap with
172 00:18:52.840 ⇒ 00:19:02.950 Hannah Wang: this Linkedin campaign has overlap with like Number 2 on that notion page that are number one, like Linkedin, the notion page that I shared with you like.
173 00:19:02.950 ⇒ 00:19:03.690 Vishnu: Okay.
174 00:19:03.690 ⇒ 00:19:08.039 Hannah Wang: I don’t know. Everything’s kind of like overlapping, so I don’t know.
175 00:19:08.960 ⇒ 00:19:14.689 Hannah Wang: I would need to think about like how to organize everything on a dashboard and just like track everything. But
176 00:19:14.940 ⇒ 00:19:20.100 Hannah Wang: maybe, like there’s a tab for each
177 00:19:20.260 ⇒ 00:19:41.977 Hannah Wang: campaign like within the dashboard that each active campaign, and then within each active campaign. You can see, like the post, the impressions, the likes, the comments like basically replicating this Google sheet on a dashboard form along with like information about the website. Analytics as well.
178 00:19:44.090 ⇒ 00:19:44.820 Vishnu: Got it got.
179 00:19:44.820 ⇒ 00:19:45.550 Hannah Wang: Yeah.
180 00:19:45.550 ⇒ 00:19:55.989 Vishnu: Okay. Yes, since you’re showing me this excel sheet, at least. I don’t know me. Personally, I’m thinking we can just figure out a way to like populate all the data points.
181 00:19:55.990 ⇒ 00:19:56.540 Hannah Wang: Yeah.
182 00:19:56.540 ⇒ 00:20:21.984 Vishnu: Sheet itself, and then have a bunch of like preset plots, so the plots should give us an option, where, like, we select a row or a row, a column, and the plot should automatically update itself. So then, like, we have everything at one place. And because if you build a dashboard. Yeah, you’re limited by the space and limited by the plot types and
183 00:20:23.430 ⇒ 00:20:27.074 Vishnu: a dashboard. I don’t know, I’m thinking, like,
184 00:20:28.040 ⇒ 00:20:32.370 Vishnu: you will have to like do to and fro between the excel sheet and the dashboard.
185 00:20:32.370 ⇒ 00:20:32.950 Hannah Wang: Right.
186 00:20:32.950 ⇒ 00:20:46.659 Vishnu: If you try to put plots here, it’ll be all in one place. But yeah, I’m gonna like, also, like show, like I did take screenshots of this. So I’m gonna show it to Avesh and like, see what he thinks. And
187 00:20:48.246 ⇒ 00:20:55.860 Vishnu: I’ll also share like the notion document. He said. He wants a summary of the meeting that I’m having with you.
188 00:20:55.860 ⇒ 00:20:56.650 Hannah Wang: Okay.
189 00:20:56.933 ⇒ 00:21:02.309 Vishnu: Yeah, I’ll also share that summary with you and with Avesh. And let’s see where it goes from. There.
190 00:21:02.510 ⇒ 00:21:08.260 Hannah Wang: Okay, yeah, I I don’t mind, for now, I guess. Just like populating it into this
191 00:21:08.650 ⇒ 00:21:17.399 Hannah Wang: excel sheet instead of building out the dashboard like, I think, populating. This is fine, like, we can still see all the numbers and
192 00:21:17.880 ⇒ 00:21:22.140 Hannah Wang: everything like that. Yes, yeah, yeah.
193 00:21:22.140 ⇒ 00:21:28.859 Vishnu: So when exactly so, when, if you I’m just imagining if I’m trying to like build a dashboard.
194 00:21:29.280 ⇒ 00:21:33.330 Vishnu: if at all, there’s like a line plot like, yeah, you can.
195 00:21:33.690 ⇒ 00:21:47.839 Vishnu: There is going to be an X and Y axis. And then if you say, Okay, there will be 2 variables, and then, if you say, Okay, no, I can put multiple variables on the same plot. Yeah, we can do that. But then it’s going to be cluttered.
196 00:21:48.110 ⇒ 00:21:48.810 Hannah Wang: Yeah.
197 00:21:49.010 ⇒ 00:21:56.220 Vishnu: And even if you do that like, you are going to like double, click, and like go into like, let’s say, likes. And then.
198 00:21:56.220 ⇒ 00:21:56.600 Hannah Wang: Right.
199 00:21:56.600 ⇒ 00:22:18.559 Vishnu: Want to remove all the noise. The other part, when you’re looking at only likes. So, okay, yeah, at least, that is my thoughts. But yeah, let’s let’s see what Away says, what are his. But you like. So based on what I’m like hearing from you, you’re okay with a dashboard or an excel sheet with all the data either.
200 00:22:18.560 ⇒ 00:22:21.899 Hannah Wang: Yeah, yeah, I think, so, yeah.
201 00:22:23.210 ⇒ 00:22:23.605 Vishnu: Okay.
202 00:22:25.010 ⇒ 00:22:33.550 Hannah Wang: Yeah, because, yeah, like, I think for any new like tracking, whether it’s a dashboard or a
203 00:22:33.940 ⇒ 00:22:39.946 Hannah Wang: excel sheet, like I, if I just like, sit with it and kind of look through everything.
204 00:22:40.590 ⇒ 00:22:45.019 Hannah Wang: it should be okay, like I should be able to understand it. So I think it’s okay.
205 00:22:45.020 ⇒ 00:22:46.360 Vishnu: Got it? Okay, yeah.
206 00:22:47.180 ⇒ 00:22:47.813 Hannah Wang: All right.
207 00:22:48.611 ⇒ 00:22:58.549 Hannah Wang: Yeah, you have access to the notion. I think you also have access to this. I linked this page and the notion under number 3. So feel free to just send over
208 00:22:59.316 ⇒ 00:23:06.950 Hannah Wang: this you can send over the notion to him to vish not Vishnu to you are Vishnu to a wish, and then.
209 00:23:06.950 ⇒ 00:23:07.440 Vishnu: Yeah.
210 00:23:07.440 ⇒ 00:23:15.999 Hannah Wang: You can also like in the notion page, I made a section for July 17th meeting. You can just like, put your summary there and then send this doc to him. Yeah.
211 00:23:17.380 ⇒ 00:23:21.616 Vishnu: Okay, perfect. And before you go I just wanted to ask you,
212 00:23:23.971 ⇒ 00:23:30.070 Vishnu: is there a meeting tomorrow like the weekend meeting that we had last week.
213 00:23:30.470 ⇒ 00:23:31.590 Hannah Wang: Oh.
214 00:23:32.140 ⇒ 00:23:40.130 Hannah Wang: oh, so those are every 2 weeks. So we had one last week. So we’re skipping this week, and then we’ll have one next week.
215 00:23:41.620 ⇒ 00:23:43.310 Vishnu: Got it. Okay, okay.
216 00:23:43.580 ⇒ 00:23:45.339 Hannah Wang: Do you see it on your calendar? It’s like every.
217 00:23:45.340 ⇒ 00:23:54.300 Vishnu: No, I didn’t see it on my calendar, which is why I was like, yeah, I also read that the it’s usually at the end of the sprints, but I just wanted to confirm it from you.
218 00:23:54.430 ⇒ 00:24:00.110 Hannah Wang: Okay. Do you see the you’re talking about the Friday Demos and retro meeting right.
219 00:24:00.110 ⇒ 00:24:01.090 Vishnu: Yes, yes.
220 00:24:01.090 ⇒ 00:24:04.640 Hannah Wang: Yeah, if do you see it? For next week the calendar invite.
221 00:24:05.740 ⇒ 00:24:08.900 Vishnu: Oh, 18.th
222 00:24:08.900 ⇒ 00:24:11.279 Hannah Wang: For the 25, th
223 00:24:13.180 ⇒ 00:24:14.340 Vishnu: Yes, I do see it.
224 00:24:14.340 ⇒ 00:24:17.640 Hannah Wang: Okay, yeah, it’s every other week. So you have the right invite.
225 00:24:18.530 ⇒ 00:24:19.450 Vishnu: Okay.
226 00:24:20.780 ⇒ 00:24:21.580 Hannah Wang: Okay.
227 00:24:21.580 ⇒ 00:24:26.340 Vishnu: Oh, yeah, alright! Is there anything else that we have to discuss.
228 00:24:27.315 ⇒ 00:24:30.979 Hannah Wang: I don’t think so. Yeah, I think, just talk about the dashboard.
229 00:24:31.670 ⇒ 00:24:32.790 Vishnu: Okay. Okay.
230 00:24:33.410 ⇒ 00:24:34.060 Hannah Wang: Alrighty!
231 00:24:34.060 ⇒ 00:24:35.259 Vishnu: Tanna. Yeah. See? You.
232 00:24:35.260 ⇒ 00:24:36.959 Hannah Wang: Thank you. Thank you. Bye.