Meeting Title: Brainforge Default Analysis Sync Date: 2025-10-29 Meeting participants: Mustafa Raja, Amber Lin
WEBVTT
1 00:04:42.630 ⇒ 00:04:43.620 Amber Lin: Hi there!
2 00:04:44.940 ⇒ 00:04:46.039 Mustafa Raja: Hey, how are you?
3 00:04:46.370 ⇒ 00:04:52.409 Amber Lin: I’m good. Okay, I have two things, one or two, so…
4 00:04:52.920 ⇒ 00:05:02.940 Amber Lin: I want to support the default analysis, and then if we have time, we can just do the ABC thing, so you and Sam don’t have to spend more time on that.
5 00:05:03.390 ⇒ 00:05:04.050 Mustafa Raja: Yes.
6 00:05:04.430 ⇒ 00:05:11.760 Amber Lin: Okay, I got a general sense of… Default.
7 00:05:12.030 ⇒ 00:05:19.860 Amber Lin: And I know how their product works, and I’ve looked at the dataset in Omni. I guess my first question is, are we?
8 00:05:20.040 ⇒ 00:05:27.310 Amber Lin: doing… Yeah, I guess we’re doing… trying to do most of the queries in… Omni, right?
9 00:05:27.770 ⇒ 00:05:30.919 Mustafa Raja: Yeah, we also have the Mother Dark instance that the.
10 00:05:30.920 ⇒ 00:05:31.620 Amber Lin: Huh.
11 00:05:31.890 ⇒ 00:05:33.120 Mustafa Raja: I see.
12 00:05:33.120 ⇒ 00:05:38.279 Amber Lin: I was wondering if I can download those tables so I can do some queries.
13 00:05:38.280 ⇒ 00:05:38.809 Mustafa Raja: No, no.
14 00:05:38.810 ⇒ 00:05:39.420 Amber Lin: Sure.
15 00:05:39.590 ⇒ 00:05:44.060 Mustafa Raja: Okay, so, so do you have access to that, Madharak?
16 00:05:44.380 ⇒ 00:05:45.439 Amber Lin: I don’t think so.
17 00:05:45.440 ⇒ 00:05:49.950 Mustafa Raja: So, we have a brainfoge at default.com.
18 00:05:50.470 ⇒ 00:05:51.300 Amber Lin: Oh…
19 00:05:51.300 ⇒ 00:05:55.640 Mustafa Raja: And that has access to, their default.
20 00:05:55.640 ⇒ 00:05:59.429 Amber Lin: Actually, brain, at default, is the admin of that.
21 00:06:00.100 ⇒ 00:06:01.430 Amber Lin: Okay, let me…
22 00:06:01.430 ⇒ 00:06:07.030 Mustafa Raja: If you log in there, you’ll have access to also edit those.
23 00:06:07.410 ⇒ 00:06:07.980 Mustafa Raja: Oh, fantastic.
24 00:06:07.980 ⇒ 00:06:08.730 Amber Lin: Oh, I see.
25 00:06:08.730 ⇒ 00:06:11.520 Mustafa Raja: If you, okay, want to add any tables, you can.
26 00:06:12.190 ⇒ 00:06:19.065 Amber Lin: Okay, so let me go to default…
27 00:06:23.400 ⇒ 00:06:24.540 Amber Lin: Let’s see…
28 00:06:29.320 ⇒ 00:06:30.750 Amber Lin: Beautiful.
29 00:06:31.810 ⇒ 00:06:32.500 Amber Lin: Huh.
30 00:06:33.450 ⇒ 00:06:38.409 Amber Lin: Wait, is it… in… in one pass, is it just a…
31 00:06:38.630 ⇒ 00:06:42.139 Mustafa Raja: Let me double-check if this would be in one.
32 00:06:42.140 ⇒ 00:06:45.539 Amber Lin: I see, like, the Google default…
33 00:06:45.990 ⇒ 00:06:49.480 Amber Lin: I don’t see a mother duck.
34 00:06:49.840 ⇒ 00:06:54.090 Mustafa Raja: No, no, no, if you log in with Brainforge at default in Google.
35 00:06:55.660 ⇒ 00:06:56.140 Mustafa Raja: then…
36 00:06:56.140 ⇒ 00:06:58.739 Amber Lin: Oh, and then I can go to another talk. Okay.
37 00:06:58.740 ⇒ 00:07:01.200 Mustafa Raja: Yeah, yeah, yeah, using the Google login.
38 00:07:01.990 ⇒ 00:07:03.059 Amber Lin: Gotcha, okay.
39 00:07:03.060 ⇒ 00:07:04.769 Mustafa Raja: So, need to make a profile.
40 00:07:30.770 ⇒ 00:07:32.920 Mustafa Raja: Do you like cursor? I like cursor.
41 00:07:32.920 ⇒ 00:07:43.249 Amber Lin: I like it. It lets me do a lot of things that I don’t know how to do, like the big chunks of visualizations that I had no clue how to do.
42 00:07:43.310 ⇒ 00:07:45.549 Mustafa Raja: That was very helpful.
43 00:07:46.410 ⇒ 00:07:47.000 Mustafa Raja: No.
44 00:07:52.300 ⇒ 00:07:53.360 Amber Lin: Okay.
45 00:07:55.040 ⇒ 00:08:00.710 Amber Lin: Mmm… And where can I find the pricing?
46 00:08:01.500 ⇒ 00:08:02.550 Amber Lin: Info?
47 00:08:03.460 ⇒ 00:08:05.889 Mustafa Raja: Pricing info, as in?
48 00:08:05.890 ⇒ 00:08:09.200 Amber Lin: Their current, like, their current pricing…
49 00:08:09.370 ⇒ 00:08:16.009 Amber Lin: Cause I… there’s another analysis I need to do of testing their… so the
50 00:08:16.310 ⇒ 00:08:24.590 Amber Lin: Right now, they’re doing some pricing tests. We want to do the back test on…
51 00:08:24.840 ⇒ 00:08:28.930 Amber Lin: Like, how it would affect using historical…
52 00:08:28.930 ⇒ 00:08:29.530 Mustafa Raja: data.
53 00:08:29.530 ⇒ 00:08:31.239 Amber Lin: Let me finish my screen.
54 00:08:31.240 ⇒ 00:08:36.520 Mustafa Raja: In regards to pricing, the context I have is,
55 00:08:36.880 ⇒ 00:08:41.340 Mustafa Raja: The annual revenue per client is generated.
56 00:08:41.470 ⇒ 00:08:53.750 Mustafa Raja: And that’s all I have. I don’t have any context on the new pricing system. I think we’ll have to reach out to them for that. I don’t know if it already has any context.
57 00:08:54.350 ⇒ 00:09:05.469 Amber Lin: I see. How do we create the annual revenue? Is it based on… I know it’s based on seats, and then based on their usage, but is there…
58 00:09:05.470 ⇒ 00:09:10.925 Mustafa Raja: Yeah, yeah, yeah, yeah, yeah, that’s pretty accurate, so…
59 00:09:13.540 ⇒ 00:09:19.139 Mustafa Raja: Item currency… so this, so this is per, per item price.
60 00:09:19.260 ⇒ 00:09:27.759 Mustafa Raja: And this is, how frequent it is going to be billed. So, so per month, they are charging them, $350,
61 00:09:27.760 ⇒ 00:09:40.509 Mustafa Raja: And so, that turns out to be, yearly for $4,200. And this one, when it’s this… when it’s formatted like this, it’s going to be, the…
62 00:09:40.700 ⇒ 00:09:46.399 Mustafa Raja: what’s it called? Yeah, flat fee. And when it’s seat priced.
63 00:09:46.470 ⇒ 00:10:05.899 Mustafa Raja: So, we are going to see it more formatted like this, so from 0 to 5 seats is going to be 45 per seat. And then here I have calculated the revenue. So this annual revenue was calculated manually by me.
64 00:10:07.140 ⇒ 00:10:07.730 Amber Lin: Oh…
65 00:10:07.730 ⇒ 00:10:18.630 Mustafa Raja: And we see that, okay, so, okay, why is it… why is it zero? Because they, they have only 5 seats, and we know that from zero to five, it’s $0. So, that adds up.
66 00:10:18.870 ⇒ 00:10:23.439 Mustafa Raja: And that’s… that is how we are calculating the current annual revenue.
67 00:10:24.340 ⇒ 00:10:25.470 Amber Lin: Okay, so…
68 00:10:25.470 ⇒ 00:10:27.360 Mustafa Raja: Yeah, but one… I’ve gone…
69 00:10:28.120 ⇒ 00:10:43.069 Mustafa Raja: One problem here is that we have some typical clients, and some of them do not have this subscription started at, so I aligned it with the graph that we have, and only for that.
70 00:10:43.240 ⇒ 00:10:45.600 Amber Lin: We are only accounting for the…
71 00:10:45.760 ⇒ 00:10:50.189 Mustafa Raja: For the prices that do have… Have the subscription started.
72 00:10:51.010 ⇒ 00:10:53.339 Amber Lin: Okay, can you share that spreadsheet with me?
73 00:10:53.340 ⇒ 00:10:54.239 Mustafa Raja: And so this…
74 00:10:55.360 ⇒ 00:10:56.680 Amber Lin: Maybe I have this right.
75 00:10:56.680 ⇒ 00:10:57.000 Mustafa Raja: Yeah.
76 00:10:57.000 ⇒ 00:10:57.430 Amber Lin: Let me check.
77 00:10:57.430 ⇒ 00:11:01.060 Mustafa Raja: Yeah, you would have,
78 00:11:02.030 ⇒ 00:11:09.420 Mustafa Raja: This is the… this spreadsheet… this hub has a lot of spreadsheets regarding to, default, so this is useful.
79 00:11:09.720 ⇒ 00:11:13.109 Mustafa Raja: Like, we have the sample datasets that we are testing.
80 00:11:13.240 ⇒ 00:11:14.530 Mustafa Raja: and everything.
81 00:11:18.260 ⇒ 00:11:19.530 Amber Lin: I think I’m in there.
82 00:11:19.900 ⇒ 00:11:23.249 Amber Lin: Which tab is this?
83 00:11:25.780 ⇒ 00:11:31.119 Mustafa Raja: Hyperline. Hyperline subscriptions, and then this should be full-sast column.
84 00:11:31.470 ⇒ 00:11:38.410 Mustafa Raja: But this is… I don’t think this is related to the new price… pricing tests.
85 00:11:39.030 ⇒ 00:11:44.450 Mustafa Raja: You would need context either from our team, I don’t have any context on that.
86 00:11:44.660 ⇒ 00:11:45.220 Amber Lin: Yeah, that’s true.
87 00:11:45.220 ⇒ 00:11:46.879 Mustafa Raja: Something new, yeah.
88 00:11:47.680 ⇒ 00:11:49.749 Amber Lin: Yeah, I think it’s mostly…
89 00:11:50.020 ⇒ 00:11:57.649 Amber Lin: I would apply the new pricing scheme they have and try to calculate what they would have cost.
90 00:11:57.900 ⇒ 00:11:58.330 Mustafa Raja: For…
91 00:11:58.330 ⇒ 00:12:04.030 Amber Lin: their user base in the past, like, maybe they would have earned more revenue that way.
92 00:12:05.220 ⇒ 00:12:11.010 Amber Lin: So there’s a legacy platform fee and the platform seat. What’s the difference there?
93 00:12:15.310 ⇒ 00:12:16.499 Mustafa Raja: Hmm, maybe.
94 00:12:16.500 ⇒ 00:12:25.459 Amber Lin: I guess the flat fee and the seat, what are they referring to? So, I guess they have to pay a platform fee, and then…
95 00:12:25.780 ⇒ 00:12:26.810 Amber Lin: Per unit person.
96 00:12:26.810 ⇒ 00:12:45.700 Mustafa Raja: Yeah, I don’t have much context on that. It’s just a flat fee… flat fee would… flat fee would be, like… For flat fee, I’m just seeing how frequently they are being billed. Is it monthly? Is it trim monthly?
97 00:12:45.770 ⇒ 00:13:01.530 Mustafa Raja: meaning quarterly, or how does it go? And based on that, I calculate the annual revenue. So, for some clients, they bill them every 3 months. Some clients, they bill, every 6 months.
98 00:13:02.400 ⇒ 00:13:03.040 Amber Lin: Oh…
99 00:13:05.280 ⇒ 00:13:06.190 Mustafa Raja: Business missions?
100 00:13:06.190 ⇒ 00:13:07.730 Amber Lin: I see, I see.
101 00:13:07.900 ⇒ 00:13:14.560 Amber Lin: So, for… Like, for each client, I see that there’s two rows.
102 00:13:14.810 ⇒ 00:13:20.589 Amber Lin: So… What’s… what’s the difference between the two rows?
103 00:13:21.130 ⇒ 00:13:34.730 Mustafa Raja: If we go here, we’ll, we’ll see that, the plans are mentioned here, and if we open up filters, we can see all the plans that they have on this line item name column.
104 00:13:34.900 ⇒ 00:13:37.150 Mustafa Raja: If you come to the line item name column.
105 00:13:38.730 ⇒ 00:13:43.789 Mustafa Raja: And look into the filters, we’ll see, okay, they have… they have these sort of plans.
106 00:13:44.530 ⇒ 00:13:45.320 Amber Lin: Mmm.
107 00:13:45.320 ⇒ 00:13:49.020 Mustafa Raja: Which involves truth and much more.
108 00:13:50.230 ⇒ 00:13:56.280 Amber Lin: Oh, so they will pay… they pull… they pay all of them, essentially.
109 00:13:57.030 ⇒ 00:13:59.550 Mustafa Raja: Yeah, I believe so.
110 00:14:01.140 ⇒ 00:14:04.490 Amber Lin: Okay That makes sense.
111 00:14:05.270 ⇒ 00:14:17.089 Amber Lin: Okay, maybe we can go through the dataset in Omni a little bit. How do they measure their revenue? Is it… is it… I know Utam said.
112 00:14:17.200 ⇒ 00:14:25.530 Amber Lin: Workflow… number of workflows… Number of submissions, and then number of meetings, or is it just number of workflows?
113 00:14:25.950 ⇒ 00:14:28.599 Amber Lin: How we… how they measure their revenue.
114 00:14:29.840 ⇒ 00:14:34.319 Amber Lin: It’s probably the data in Omni or in Mother Duck.
115 00:14:37.790 ⇒ 00:14:42.619 Mustafa Raja: So, the current revenue, graph is over.
116 00:14:42.620 ⇒ 00:14:49.790 Amber Lin: Oh, sorry, sorry, usage. My bad. How do they measure usage? Oh gosh, I’m so sleepy.
117 00:14:52.200 ⇒ 00:14:54.069 Mustafa Raja: Let’s go to Omni.
118 00:15:19.050 ⇒ 00:15:26.649 Amber Lin: Like, I can find the submissions, maybe we can just go to Mother Duck as well. Like, I can find the submissions, I can find the…
119 00:15:26.870 ⇒ 00:15:30.790 Amber Lin: number of meetings, I can’t find the number of workflows.
120 00:15:31.780 ⇒ 00:15:36.269 Mustafa Raja: Workflows and the… Workflows are in the forms.
121 00:15:37.890 ⇒ 00:15:39.340 Amber Lin: Oh…
122 00:15:39.340 ⇒ 00:15:41.430 Mustafa Raja: I think a form is a worker.
123 00:15:41.430 ⇒ 00:15:43.669 Amber Lin: Oh, I see, I see, yeah, I see.
124 00:15:43.670 ⇒ 00:15:46.939 Mustafa Raja: Because it has the form ID, also the workflow ID.
125 00:15:47.490 ⇒ 00:15:51.620 Amber Lin: Yeah, it has the workflow name and description. Great.
126 00:15:52.960 ⇒ 00:15:53.880 Mustafa Raja: Water?
127 00:15:53.880 ⇒ 00:15:55.800 Amber Lin: What does the cues mean?
128 00:15:57.030 ⇒ 00:15:59.430 Mustafa Raja: Queues are not… Too short of.
129 00:16:00.800 ⇒ 00:16:01.390 Amber Lin: Huh?
130 00:16:01.600 ⇒ 00:16:05.640 Mustafa Raja: I’m not… I’m not sure of, what they really are.
131 00:16:05.810 ⇒ 00:16:06.350 Mustafa Raja: guns.
132 00:16:06.350 ⇒ 00:16:07.710 Amber Lin: Okay.
133 00:16:13.060 ⇒ 00:16:14.880 Mustafa Raja: Sylvia…
134 00:16:23.100 ⇒ 00:16:25.950 Mustafa Raja: Yeah, so we have the revenue over here.
135 00:16:29.350 ⇒ 00:16:32.929 Mustafa Raja: Showing my internet is a little bit slow.
136 00:16:33.820 ⇒ 00:16:36.389 Amber Lin: Hmm, that’s okay. I saw this yesterday, too.
137 00:16:36.780 ⇒ 00:16:37.270 Mustafa Raja: Oh, okay.
138 00:16:37.270 ⇒ 00:16:41.899 Amber Lin: I went through… I went through the Omni Dash, and I went through the database in Omni.
139 00:16:44.010 ⇒ 00:16:47.099 Mustafa Raja: Yeah, so the… the only new thing would be this, like.
140 00:16:49.270 ⇒ 00:16:53.720 Amber Lin: Yeah, and I’ll connect, I’ll connect to Mother Duck.
141 00:16:54.890 ⇒ 00:16:57.920 Mustafa Raja: Yeah, what other questions would you have?
142 00:16:58.280 ⇒ 00:17:03.299 Amber Lin: I think most of my questions are answered. Let me check…
143 00:17:12.599 ⇒ 00:17:13.599 Amber Lin: Let’s see…
144 00:17:29.870 ⇒ 00:17:37.840 Amber Lin: Yeah, so… I guess Uten wanted me to understand the core workflows from…
145 00:17:38.650 ⇒ 00:17:43.759 Amber Lin: default. Do you under… do you know about their product?
146 00:17:43.960 ⇒ 00:17:44.600 Amber Lin: Much.
147 00:17:44.600 ⇒ 00:17:44.990 Mustafa Raja: Yeah, yeah.
148 00:17:44.990 ⇒ 00:17:48.189 Amber Lin: Yeah, that would be great, if you can give me a…
149 00:17:48.360 ⇒ 00:17:49.700 Amber Lin: Quick idea of how that works.
150 00:17:49.700 ⇒ 00:17:56.090 Mustafa Raja: Yeah, yeah. So, the product they have is,
151 00:17:56.730 ⇒ 00:18:02.549 Mustafa Raja: So, when a new customer, hmm, let me, let me phrase it better.
152 00:18:02.810 ⇒ 00:18:12.840 Mustafa Raja: So, so what the product does is… so you see that we… we… we have this CTA… forge…
153 00:18:14.160 ⇒ 00:18:15.220 Mustafa Raja: Aye.
154 00:18:17.820 ⇒ 00:18:20.649 Mustafa Raja: So if we… if we do that…
155 00:18:21.290 ⇒ 00:18:36.959 Mustafa Raja: it takes us to Cal.com, right? But for some websites, a form would pop up, and they would want our details, right? To schedule a booking… a demo meeting or something.
156 00:18:36.960 ⇒ 00:18:46.349 Mustafa Raja: And what their product does is analyzes that and routes it to the best salesperson, based on whatever the information they get from the form.
157 00:18:47.130 ⇒ 00:18:50.819 Mustafa Raja: And, this is what the… what the whole product is about.
158 00:18:51.000 ⇒ 00:18:57.989 Mustafa Raja: Routing the calls, or sales meetings, to the appropriate salespersons.
159 00:18:58.280 ⇒ 00:19:09.450 Mustafa Raja: Based on these forms that they have. What we have is directly a scheduler, but a lot of companies would have forms, like, if we do Cortex.
160 00:19:12.370 ⇒ 00:19:14.310 Mustafa Raja: So this is one of their clients.
161 00:19:14.950 ⇒ 00:19:22.830 Mustafa Raja: And if we do book a live demo… Let’s leave it a moment.
162 00:19:23.420 ⇒ 00:19:28.909 Mustafa Raja: Yeah, and you see, this, this form pops up?
163 00:19:30.230 ⇒ 00:19:48.789 Mustafa Raja: We would fill our information in this form, and submit it, and schedule an appropriate availability for us. And what the workflow would do is appropriately assign the most appropriate salesperson to this lead that I would be.
164 00:19:48.930 ⇒ 00:19:49.640 Mustafa Raja: Thank you.
165 00:19:49.640 ⇒ 00:19:50.490 Amber Lin: Mmm…
166 00:19:51.410 ⇒ 00:19:52.120 Mustafa Raja: Hope I’m feeling.
167 00:19:52.120 ⇒ 00:19:54.099 Amber Lin: I see. I see, yeah.
168 00:19:54.310 ⇒ 00:20:05.380 Amber Lin: Do they only manage dial, or do they also manage to, like, after it’s assigned to the salesperson? Like, they only take… they only do the inbound part?
169 00:20:05.780 ⇒ 00:20:11.040 Mustafa Raja: I think that… I only… I only know about this one. I only know about.
170 00:20:11.040 ⇒ 00:20:12.049 Amber Lin: Despite,
171 00:20:12.050 ⇒ 00:20:15.329 Mustafa Raja: They might be doing that, but I, I don’t have any context on that.
172 00:20:15.840 ⇒ 00:20:22.410 Amber Lin: I see, that’s okay. Yeah. I think mostly it’s just meeting… Meeting booked, so it’s…
173 00:20:22.610 ⇒ 00:20:25.079 Amber Lin: They can do different forms.
174 00:20:25.640 ⇒ 00:20:28.330 Amber Lin: And they can do enrichment.
175 00:20:29.190 ⇒ 00:20:30.090 Amber Lin: Okay.
176 00:20:31.600 ⇒ 00:20:40.820 Amber Lin: Cool, okay, scheduling, routing, workflows, forms, and engagement… Okay.
177 00:20:42.720 ⇒ 00:20:50.960 Amber Lin: Sounds good. And… I guess my last question on defaults, can you…
178 00:20:52.120 ⇒ 00:20:57.739 Amber Lin: go through the dataset real quick to make sure… I just want to confirm that I have the right understanding.
179 00:20:58.870 ⇒ 00:21:13.119 Mustafa Raja: Yeah, so, so this raw members and raw teams. So this raw mem… so, you’d see this enriched member and enriched team, so these would have some additional columns that we added.
180 00:21:13.300 ⇒ 00:21:16.509 Mustafa Raja: Later on, these are essentially the same tables.
181 00:21:17.760 ⇒ 00:21:19.750 Mustafa Raja: withdrawal my quiero.
182 00:21:20.930 ⇒ 00:21:22.850 Mustafa Raja: Yeah, yeah, go on, go on, ask the question.
183 00:21:23.180 ⇒ 00:21:27.289 Amber Lin: No, no, no, I didn’t hear a very clear. Which two are essentially the same?
184 00:21:27.290 ⇒ 00:21:32.260 Mustafa Raja: Enriched members and raw members would be… would have the same.
185 00:21:32.480 ⇒ 00:21:33.090 Amber Lin: Oh…
186 00:21:33.090 ⇒ 00:21:33.600 Mustafa Raja: an injury.
187 00:21:33.600 ⇒ 00:21:34.110 Amber Lin: Okay.
188 00:21:34.110 ⇒ 00:21:38.180 Mustafa Raja: Teams and enriched, teams and raw teams would have the same stuff.
189 00:21:38.180 ⇒ 00:21:40.350 Amber Lin: What are teams? Are teams.
190 00:21:40.350 ⇒ 00:21:40.919 Mustafa Raja: It’s like a comfy.
191 00:21:40.920 ⇒ 00:21:42.350 Amber Lin: and they have ruin.
192 00:21:42.350 ⇒ 00:21:45.310 Mustafa Raja: So, so each team would be their client.
193 00:21:45.930 ⇒ 00:21:47.200 Amber Lin: Oh, okay, gotcha.
194 00:21:47.200 ⇒ 00:21:51.780 Mustafa Raja: and then each client would have members, right? So you see.
195 00:21:51.780 ⇒ 00:21:52.770 Amber Lin: Oh, okay.
196 00:21:52.770 ⇒ 00:21:54.799 Mustafa Raja: The member would have a team ID?
197 00:21:55.970 ⇒ 00:22:00.019 Mustafa Raja: And that means, oh, this member belongs to this team.
198 00:22:00.750 ⇒ 00:22:01.659 Amber Lin: I see.
199 00:22:01.660 ⇒ 00:22:02.070 Mustafa Raja: Yeah.
200 00:22:03.710 ⇒ 00:22:04.609 Mustafa Raja: Yeah, gone.
201 00:22:05.420 ⇒ 00:22:11.550 Amber Lin: Is there, like, a primary key of whatever joins you used between these tables?
202 00:22:11.550 ⇒ 00:22:20.370 Mustafa Raja: So mostly the, I think, I think the main modeling was done by… Away-ish.
203 00:22:23.400 ⇒ 00:22:33.340 Mustafa Raja: So, but, these two tables… no, no, no. This one. This table, I added these two tables away added, but these weren’t modeled, so I modeled them.
204 00:22:33.550 ⇒ 00:22:37.610 Mustafa Raja: And then this one I also moduled, so we can take a look at this.
205 00:22:37.610 ⇒ 00:22:38.220 Amber Lin: I see.
206 00:22:38.220 ⇒ 00:22:39.620 Mustafa Raja: These are all the…
207 00:22:40.280 ⇒ 00:22:57.480 Amber Lin: Yeah, I guess it’s… my question is, when I want to join tables together, what is the best key for me to use? Because I… I’ve been using, like, customer emails, but maybe there’s a better one, like, customer IDs, but they don’t always have…
208 00:22:57.610 ⇒ 00:23:00.590 Amber Lin: Like, the same ID format.
209 00:23:00.590 ⇒ 00:23:07.259 Mustafa Raja: Domain… domain would be the best one, because, yeah, they don’t have, IDs, appropriate IDs, of course.
210 00:23:07.740 ⇒ 00:23:10.760 Amber Lin: Where’s the domain field? Let me check.
211 00:23:11.360 ⇒ 00:23:14.020 Mustafa Raja: Enriched one would have that, that we…
212 00:23:14.450 ⇒ 00:23:16.450 Amber Lin: Enriched has…
213 00:23:17.200 ⇒ 00:23:19.940 Mustafa Raja: Yeah, yeah, Enrich team has domain?
214 00:23:20.140 ⇒ 00:23:21.890 Mustafa Raja: And then… Domain, okay.
215 00:23:21.890 ⇒ 00:23:29.650 Amber Lin: So… So, for example, like, the… maybe the raw submissions, does that also have domain?
216 00:23:29.910 ⇒ 00:23:31.639 Mustafa Raja: There’s all submissions.
217 00:23:32.440 ⇒ 00:23:35.390 Amber Lin: Trying to see… Hmm.
218 00:23:35.960 ⇒ 00:23:36.850 Amber Lin: Because essentially.
219 00:23:36.850 ⇒ 00:23:55.990 Mustafa Raja: Let me rephrase what I said. So, the domain one would be for customer ARR, right? Because the customer ID doesn’t really make sense there, so we have domain to… domain to attach or join teams with, ARR, right?
220 00:23:55.990 ⇒ 00:24:02.260 Mustafa Raja: Okay. And then, for team and members, we have appropriate team ID for each member.
221 00:24:02.850 ⇒ 00:24:04.740 Mustafa Raja: Okay, similarly.
222 00:24:04.740 ⇒ 00:24:09.850 Amber Lin: Wait, which one? Sorry, do you have… Which ID for?
223 00:24:10.540 ⇒ 00:24:18.720 Mustafa Raja: let’s actually open up this model, in Omni. I feel this would be a better… better visualization.
224 00:24:19.600 ⇒ 00:24:30.530 Mustafa Raja: Okay, let’s, okay. For the, join between Teams and ARR, we are using the domain.
225 00:24:34.540 ⇒ 00:24:36.450 Mustafa Raja: Oh, this is a mission, yeah.
226 00:24:36.650 ⇒ 00:24:38.610 Mustafa Raja: Domain?
227 00:24:39.410 ⇒ 00:24:43.050 Mustafa Raja: and then, this domain. This creates.
228 00:24:43.050 ⇒ 00:24:43.820 Amber Lin: Gotcha.
229 00:24:43.820 ⇒ 00:24:53.289 Mustafa Raja: For, for, in, for, for join between member and teams. So, so we have… the base view is actually Teams here.
230 00:24:54.430 ⇒ 00:24:55.440 Amber Lin: Oh, okay.
231 00:24:55.830 ⇒ 00:25:01.680 Mustafa Raja: So, so, to, to join members with teams, we have two
232 00:25:01.880 ⇒ 00:25:07.980 Mustafa Raja: the team ID, so team ID in team would be just ID, and then here, it’s team ID.
233 00:25:08.780 ⇒ 00:25:09.690 Amber Lin: Gotcha, okay.
234 00:25:09.690 ⇒ 00:25:15.850 Mustafa Raja: It must be somewhere, I guess, they might be doing this.
235 00:25:17.170 ⇒ 00:25:17.930 Mustafa Raja: Hmm.
236 00:25:19.080 ⇒ 00:25:19.760 Mustafa Raja: Wait.
237 00:25:20.950 ⇒ 00:25:23.070 Mustafa Raja: Yeah, team ID is here.
238 00:25:24.540 ⇒ 00:25:30.890 Amber Lin: So, if I would need to do customer AIR and members,
239 00:25:31.040 ⇒ 00:25:39.630 Amber Lin: I know you said customer ARR and Teams, I can join using domain, but then… How does that become…
240 00:25:40.290 ⇒ 00:25:43.839 Amber Lin: Like, per… per member, per customer, essentially.
241 00:25:44.860 ⇒ 00:25:47.530 Mustafa Raja: So, team is a customer, right?
242 00:25:48.280 ⇒ 00:25:52.230 Amber Lin: Oh, so they don’t pay per user.
243 00:25:53.730 ⇒ 00:25:58.579 Amber Lin: Oh, so it’s not, like, the customer ARR is not at the member level. Gotcha.
244 00:25:58.580 ⇒ 00:26:03.900 Mustafa Raja: Yeah, yeah, that’s my, that’s my island, yeah.
245 00:26:04.460 ⇒ 00:26:06.329 Amber Lin: Okay, thank you, that was very helpful.
246 00:26:06.330 ⇒ 00:26:11.800 Mustafa Raja: Okay, then… then, form also has a join with Teams.
247 00:26:13.120 ⇒ 00:26:15.100 Mustafa Raja: in these teams based on team ID.
248 00:26:15.290 ⇒ 00:26:18.589 Mustafa Raja: I think that, this would have…
249 00:26:19.000 ⇒ 00:26:24.569 Mustafa Raja: Member ID and team ID, yeah, rest of the things, they are joining with, team IDs.
250 00:26:25.070 ⇒ 00:26:29.019 Mustafa Raja: They have appropriate IDs. I think submissions also have that, let me see.
251 00:26:29.830 ⇒ 00:26:30.659 Mustafa Raja: Yeah, you might…
252 00:26:30.660 ⇒ 00:26:33.169 Amber Lin: Okay. Oh, that makes more sense.
253 00:26:34.780 ⇒ 00:26:47.519 Mustafa Raja: We can, we can also, we can also join, join meetings with, what’s it called? Meetings with member ID, because, I believe, if you want to see,
254 00:26:47.680 ⇒ 00:26:48.310 Mustafa Raja: Okay.
255 00:26:48.750 ⇒ 00:26:52.509 Mustafa Raja: What, that is appropriate… that is more appropriate.
256 00:26:53.290 ⇒ 00:26:54.420 Mustafa Raja: But yeah.
257 00:26:56.080 ⇒ 00:26:57.060 Amber Lin: I see.
258 00:26:58.180 ⇒ 00:27:08.710 Amber Lin: Then lastly is submissions… Submissions, also has team ID… Team ID, okay.
259 00:27:08.710 ⇒ 00:27:11.940 Mustafa Raja: Yeah, it might also remember I do, I don’t know.
260 00:27:13.740 ⇒ 00:27:16.019 Mustafa Raja: It has Team ID, yeah, that’s good.
261 00:27:16.170 ⇒ 00:27:21.089 Amber Lin: I see. Okay. So I’ll primarily do my analysis on…
262 00:27:22.060 ⇒ 00:27:24.589 Mustafa Raja: What’s the… what’s the analysis on?
263 00:27:24.810 ⇒ 00:27:30.740 Amber Lin: So there’s 3… let me send the questions to you. Actually, I’ll send the link.
264 00:27:31.780 ⇒ 00:27:33.660 Amber Lin: In our chat.
265 00:27:34.740 ⇒ 00:27:47.580 Amber Lin: So… The first question is, Essentially, the concentration… Concentration of usage and revenue.
266 00:27:48.850 ⇒ 00:27:50.340 Amber Lin: I’m sorry, bro.
267 00:27:52.670 ⇒ 00:27:53.370 Mustafa Raja: Hmm…
268 00:27:55.010 ⇒ 00:27:57.389 Amber Lin: And high usage.
269 00:27:57.860 ⇒ 00:28:00.510 Amber Lin: Customers? Question mark?
270 00:28:03.280 ⇒ 00:28:07.700 Amber Lin: And then… To see growth based on product usage.
271 00:28:08.590 ⇒ 00:28:12.289 Amber Lin: Oops, and then lastly, the backtest, which is where.
272 00:28:13.880 ⇒ 00:28:14.490 Amber Lin: hot.
273 00:28:14.780 ⇒ 00:28:15.710 Amber Lin: Right.
274 00:28:16.500 ⇒ 00:28:17.400 Amber Lin: No.
275 00:28:19.540 ⇒ 00:28:20.240 Amber Lin: Okay.
276 00:28:21.030 ⇒ 00:28:23.999 Mustafa Raja: I don’t have context on this new, new scheme.
277 00:28:24.260 ⇒ 00:28:25.180 Mustafa Raja: Yeah.
278 00:28:27.020 ⇒ 00:28:27.780 Mustafa Raja: Okay.
279 00:28:30.220 ⇒ 00:28:32.979 Mustafa Raja: Okay, okay. Yeah, this is good, this is good.
280 00:28:35.070 ⇒ 00:28:35.880 Mustafa Raja: Okay.
281 00:28:38.830 ⇒ 00:28:42.510 Mustafa Raja: Okay, yeah, let me know if you have any other questions or something.
282 00:28:42.510 ⇒ 00:28:54.569 Amber Lin: Yeah, I think that’s… I think that’s all. I need to go in a little bit more and write what I… write down what I think I want to do, and then Lutam wants to look at it, so I’m not going to start just yet.
283 00:28:54.570 ⇒ 00:28:55.720 Mustafa Raja: Oh, I’m taking…
284 00:28:56.170 ⇒ 00:28:56.730 Amber Lin: Yep.
285 00:28:57.120 ⇒ 00:29:06.080 Amber Lin: Okay. And then… Oh, let’s do the ABC one, I really don’t want to do it, but…
286 00:29:06.280 ⇒ 00:29:11.109 Amber Lin: It’s like, we have to spend time on it either way, so…
287 00:29:11.110 ⇒ 00:29:18.819 Mustafa Raja: Yeah, yeah. I also have been spending some time on manual work on default, also.
288 00:29:19.030 ⇒ 00:29:22.769 Amber Lin: Oh my, yeah, that’s the least fun part.
289 00:29:22.890 ⇒ 00:29:26.630 Amber Lin: Okay, let me send this spreadsheet to you, and then…
290 00:29:27.770 ⇒ 00:29:30.979 Amber Lin: We can split it up, and we can just do it here.
291 00:29:31.250 ⇒ 00:29:31.840 Mustafa Raja: Yeah.
292 00:29:32.580 ⇒ 00:29:33.470 Amber Lin: Oh.
293 00:29:33.880 ⇒ 00:29:34.640 Amber Lin: Okay.
294 00:29:37.060 ⇒ 00:29:39.090 Amber Lin: Sent it in the Zoom chat.
295 00:29:39.580 ⇒ 00:29:44.920 Amber Lin: And then, let me send the central doc… Link.
296 00:30:07.280 ⇒ 00:30:13.179 Amber Lin: Okay, so you’ll need to be logged into their… ABC… okay, you’re in there.
297 00:30:14.740 ⇒ 00:30:23.440 Amber Lin: I sent the three links, the commercial drive, the second one you already are on, and then the blank central doc, so let me open that, too.
298 00:30:24.460 ⇒ 00:30:28.380 Amber Lin: It does… Okay.
299 00:30:29.700 ⇒ 00:30:35.240 Amber Lin: Let’s split up… the folders…
300 00:30:49.380 ⇒ 00:30:55.340 Amber Lin: And let me adjust… That’s just these.
301 00:31:46.220 ⇒ 00:31:49.060 Mustafa Raja: Yeah, let me know how, how, splitting…
302 00:31:50.430 ⇒ 00:31:51.010 Amber Lin: Yeah.
303 00:31:51.130 ⇒ 00:31:56.290 Amber Lin: I just added the… are you in the central doc link that I sent you? It’s in the Zoom.
304 00:31:56.290 ⇒ 00:31:57.819 Mustafa Raja: Yes, yes, yes, yes.
305 00:31:57.820 ⇒ 00:32:02.820 Amber Lin: Okay, I added the, headings in there.
306 00:32:03.130 ⇒ 00:32:07.249 Amber Lin: And then we can just split it up.
307 00:32:07.960 ⇒ 00:32:08.750 Amber Lin: Okay.
308 00:32:11.210 ⇒ 00:32:14.859 Mustafa Raja: Didn’t you already have the commercial central dog?
309 00:32:16.370 ⇒ 00:32:17.220 Amber Lin: Oh…
310 00:32:17.220 ⇒ 00:32:17.890 Mustafa Raja: Oh, we didn’t…
311 00:32:17.890 ⇒ 00:32:21.050 Amber Lin: We have the zip codes, we don’t. Yeah.
312 00:32:21.050 ⇒ 00:32:22.820 Mustafa Raja: Here.
313 00:32:23.790 ⇒ 00:32:29.330 Amber Lin: I mean, we can work off of this document list,
314 00:32:29.620 ⇒ 00:32:38.950 Amber Lin: you can, like, I can start from, like, this spreadsheet, and then I can start from… you can start from the top, I can start from the bottom.
315 00:32:39.250 ⇒ 00:32:42.840 Amber Lin: And once you add it, just say it’s added. Just add it…
316 00:32:43.150 ⇒ 00:32:50.120 Amber Lin: If you open the spreadsheet, let’s see, there’s…
317 00:32:50.310 ⇒ 00:32:50.890 Mustafa Raja: Yay.
318 00:32:50.890 ⇒ 00:32:56.140 Amber Lin: Column B, there’s the… Folder name, so essentially the header name.
319 00:32:56.870 ⇒ 00:33:01.009 Amber Lin: So, you can just put that under the…
320 00:33:02.660 ⇒ 00:33:04.970 Amber Lin: The header in the central dock.
321 00:33:06.810 ⇒ 00:33:11.020 Mustafa Raja: Okay, okay. So these are, these, these headings would be in…
322 00:33:11.160 ⇒ 00:33:17.570 Mustafa Raja: Okay, tell billing. We are not doing this. Turkey’s washing, power washing.
323 00:33:18.550 ⇒ 00:33:22.470 Amber Lin: No. So if I… if it says skip, so we will just skip it.
324 00:33:22.740 ⇒ 00:33:26.500 Amber Lin: So it will ever We’ll add everything that says to add.
325 00:33:27.470 ⇒ 00:33:30.999 Mustafa Raja: But… but do… These are sales.
326 00:33:33.280 ⇒ 00:33:38.720 Amber Lin: Yes, the top ones are folders, so… can’t add those.
327 00:33:38.800 ⇒ 00:33:39.780 Mustafa Raja: Haha.
328 00:33:40.230 ⇒ 00:33:47.000 Mustafa Raja: So… Okay, okay. So let me know how you’re splitting. I’m doing from Universal Till.
329 00:33:47.560 ⇒ 00:33:54.719 Amber Lin: I’ll do it from the bottom. You can do it from the top. Okay. And then we can probably split in the middle when we’re…
330 00:33:54.720 ⇒ 00:33:55.230 Mustafa Raja: Oh, okay.
331 00:33:55.230 ⇒ 00:33:56.460 Amber Lin: We’re closer.
332 00:33:56.460 ⇒ 00:33:56.930 Mustafa Raja: Okay.
333 00:33:56.930 ⇒ 00:33:57.510 Amber Lin: Okay.
334 00:34:00.720 ⇒ 00:34:02.590 Amber Lin: Alright, I’ll start with universal.
335 00:34:02.590 ⇒ 00:34:03.130 Mustafa Raja: Awesome.
336 00:34:04.150 ⇒ 00:34:05.190 Mustafa Raja: He’s starting from the…
337 00:34:05.520 ⇒ 00:34:07.570 Amber Lin: Yeah, I’ll start from the bottom.
338 00:34:07.570 ⇒ 00:34:08.810 Mustafa Raja: Okay, balancing.
339 00:34:24.770 ⇒ 00:34:29.419 Amber Lin: You’re still sharing your screen, maybe that will help your Wi-Fi if you don’t share a screen.
340 00:35:12.240 ⇒ 00:35:15.029 Amber Lin: I don’t think we’ll… I think we’ll have to…
341 00:35:15.240 ⇒ 00:35:18.749 Amber Lin: Just edit the heading and make it, like, a smaller heading.
342 00:35:19.070 ⇒ 00:35:19.440 Mustafa Raja: Yeah.
343 00:35:19.440 ⇒ 00:35:22.210 Amber Lin: Probably Heading 3 will be fine, I think.
344 00:35:22.210 ⇒ 00:35:23.359 Mustafa Raja: Yeah, I’m doing that.
345 00:35:24.090 ⇒ 00:35:24.820 Amber Lin: Okay.
346 00:35:24.820 ⇒ 00:35:28.020 Mustafa Raja: I hoped it would just automatically do it, but it doesn’t do it.
347 00:35:28.190 ⇒ 00:35:30.290 Amber Lin: Yeah, it’s… that’s annoying.
348 00:35:45.300 ⇒ 00:35:47.530 Mustafa Raja: And do you like analysis work?
349 00:35:48.760 ⇒ 00:35:55.029 Amber Lin: I like it, it’s… it’s… it’s different from PM work, and at this point, I am very…
350 00:35:56.090 ⇒ 00:36:04.020 Amber Lin: thick of PM work, to be very honest, and the analysis works, like, oh, you can… you can do more, and there’s more stuff.
351 00:36:04.460 ⇒ 00:36:06.450 Amber Lin: So that was pretty interesting.
352 00:36:07.160 ⇒ 00:36:14.160 Amber Lin: Do you like the data work more, or do you like the… The automations work.
353 00:36:14.900 ⇒ 00:36:19.879 Mustafa Raja: I like, so… hmm… So what do I like more, huh?
354 00:36:20.850 ⇒ 00:36:27.719 Mustafa Raja: I’d say… I’d say I’m very fluent in AI work, so I am comfortable in that, but…
355 00:36:27.840 ⇒ 00:36:35.210 Mustafa Raja: I do like the data work, too, and I want to expand into that, so let’s see how it goes.
356 00:36:35.740 ⇒ 00:36:37.399 Amber Lin: Okay, that’s cool.
357 00:36:38.130 ⇒ 00:36:38.710 Mustafa Raja: Yeah.
358 00:36:40.790 ⇒ 00:36:47.479 Mustafa Raja: Because, I feel… I feel that’s where… that’s where my growth would be now.
359 00:36:49.450 ⇒ 00:36:56.829 Mustafa Raja: I don’t know, from here, how do I expand more into…
360 00:36:57.740 ⇒ 00:37:00.729 Mustafa Raja: Oh, how do I do… how are we doing the spreadsheets?
361 00:37:01.930 ⇒ 00:37:05.930 Amber Lin: Spreadsheets, just skip, just don’t change…
362 00:37:06.270 ⇒ 00:37:11.880 Amber Lin: Just leave it as to add, and the other stuff you can… can change.
363 00:37:14.430 ⇒ 00:37:16.340 Amber Lin: Yeah, and also, you can…
364 00:37:16.600 ⇒ 00:37:22.840 Amber Lin: Let me show you… I can do this in preview, so I don’t have to open the document, so I clicked here.
365 00:37:22.950 ⇒ 00:37:29.139 Amber Lin: And I… there’s, like, an open preview button, so I just copied it from there, and then I didn’t have.
366 00:37:29.140 ⇒ 00:37:30.180 Mustafa Raja: too.
367 00:37:30.180 ⇒ 00:37:34.920 Amber Lin: open it, and then copy it. That’s why I said this might take shorter times, because it’s…
368 00:37:34.920 ⇒ 00:37:36.519 Mustafa Raja: I didn’t know that, thank you.
369 00:37:36.900 ⇒ 00:37:39.760 Amber Lin: Yeah, this will make… I think that will be easier.
370 00:37:39.760 ⇒ 00:37:41.760 Mustafa Raja: This’ll make life easier.
371 00:37:42.330 ⇒ 00:37:43.010 Amber Lin: Yeah.
372 00:37:43.740 ⇒ 00:37:44.500 Amber Lin: Okay.
373 00:37:50.120 ⇒ 00:37:52.130 Amber Lin: Do you play music when you work?
374 00:37:52.280 ⇒ 00:37:58.779 Mustafa Raja: Oh, no, I get distracted. I want to… I would… Based on what they’re saying.
375 00:37:59.410 ⇒ 00:38:00.410 Amber Lin: I see.
376 00:38:00.640 ⇒ 00:38:08.969 Amber Lin: Yeah, I can… I can never do, like, worded music, I just… I will spell out what they say.
377 00:38:09.100 ⇒ 00:38:09.950 Mustafa Raja: Oh.
378 00:38:14.420 ⇒ 00:38:21.000 Mustafa Raja: I tried doing that because I’ve heard a lot of people say that it helps them a lot.
379 00:38:21.450 ⇒ 00:38:26.290 Mustafa Raja: I don’t know, it just doesn’t work for me. That’s it. I just…
380 00:38:26.830 ⇒ 00:38:30.789 Mustafa Raja: Focus… start focusing on the music, then we’ll…
381 00:38:41.670 ⇒ 00:38:42.500 Amber Lin: Okay.
382 00:38:43.010 ⇒ 00:38:46.090 Amber Lin: Let’s see if we can get this done in 30 minutes.
383 00:41:57.740 ⇒ 00:41:59.279 Mustafa Raja: How did you get into PMing?
384 00:42:02.480 ⇒ 00:42:15.749 Amber Lin: I… I was a data analyst before. Self-proclaimed, not that I really knew what I was doing, I just said I was a data analyst because I thought everybody needed a data analyst.
385 00:42:15.820 ⇒ 00:42:32.430 Amber Lin: And then I, like, I do data analysis in, like, Tableau, so essentially omni-level data analysis. I did not… I did not write SQL. I learned SQL, but don’t know how to write it. And then I was interviewing around, and then I talked to Robert.
386 00:42:34.210 ⇒ 00:42:41.319 Amber Lin: and Robert wanted me as a data analyst, and… and I talked to Utam, and I realized we have no,
387 00:42:41.560 ⇒ 00:42:42.809 Amber Lin: Have no PM.
388 00:42:43.050 ⇒ 00:42:45.390 Amber Lin: And so I became a PM. That’s it.
389 00:42:45.390 ⇒ 00:42:46.140 Mustafa Raja: Oh, God.
390 00:42:46.140 ⇒ 00:42:57.010 Amber Lin: I was like, please let me BPM! There’s, like, I’ve never done it before, I sucked when I first did it, and it’s just… ugh, he let me do it, so I did it.
391 00:42:58.440 ⇒ 00:42:59.529 Mustafa Raja: Oh, you’re good at it.
392 00:43:00.670 ⇒ 00:43:06.150 Amber Lin: I… thank you. I don’t know how good I am at it. I think I’m okay. There’s…
393 00:43:06.540 ⇒ 00:43:09.950 Amber Lin: And because I don’t know the technical parts, there’s…
394 00:43:09.950 ⇒ 00:43:10.570 Mustafa Raja: Mmm.
395 00:43:10.570 ⇒ 00:43:15.169 Amber Lin: Like, I can only be so good if I don’t know what work they’re actually doing.
396 00:43:15.420 ⇒ 00:43:19.090 Amber Lin: So it’s… it’s like… Who thumbs?
397 00:43:19.090 ⇒ 00:43:19.530 Mustafa Raja: Awesome.
398 00:43:19.530 ⇒ 00:43:21.869 Amber Lin: Better at it, because he knows what to do.
399 00:43:22.420 ⇒ 00:43:23.420 Mustafa Raja: Oh, man.
400 00:43:23.420 ⇒ 00:43:23.990 Amber Lin: Yeah.
401 00:43:25.780 ⇒ 00:43:36.189 Mustafa Raja: I never felt… I never felt that. I know that Utum is a really great team, but in my view, you’ve also been a very, very great team.
402 00:43:37.040 ⇒ 00:43:38.950 Amber Lin: Oh, thank you, that’s so nice of you.
403 00:43:40.020 ⇒ 00:43:41.320 Mustafa Raja: Yeah.
404 00:43:51.690 ⇒ 00:43:55.350 Amber Lin: Okay, getting there. How far have you gotten?
405 00:43:57.630 ⇒ 00:43:59.940 Mustafa Raja: Oh, I’m still in billing.
406 00:44:00.480 ⇒ 00:44:02.230 Amber Lin: That’s okay.
407 00:44:02.420 ⇒ 00:44:05.100 Amber Lin: I barely made it out of Universal.
408 00:44:06.960 ⇒ 00:44:09.659 Amber Lin: Maybe this will take, like, 40 minutes.
409 00:44:10.880 ⇒ 00:44:11.460 Mustafa Raja: Nope.
410 00:45:46.840 ⇒ 00:45:49.410 Amber Lin: Okay, we’re… Lord.
411 00:45:50.020 ⇒ 00:45:52.100 Amber Lin: A third of the way through.
412 00:46:06.160 ⇒ 00:46:06.680 Mustafa Raja: Yep.
413 00:46:23.550 ⇒ 00:46:27.999 Mustafa Raja: So one of the files that they want us to… no, no, they don’t want us to have, okay.
414 00:46:29.220 ⇒ 00:46:31.269 Mustafa Raja: But I didn’t have access to it.
415 00:46:32.410 ⇒ 00:46:35.650 Mustafa Raja: But we don’t have plans, it’s… it’s okay.
416 00:46:35.980 ⇒ 00:46:36.910 Mustafa Raja: Nothing, nothing.
417 00:46:37.440 ⇒ 00:46:38.050 Amber Lin: Okay.
418 00:46:40.710 ⇒ 00:46:44.430 Mustafa Raja: Okay, so communists… This one…
419 00:46:49.400 ⇒ 00:46:51.820 Mustafa Raja: Ask this little scared.
420 00:48:43.010 ⇒ 00:48:44.550 Mustafa Raja: So you’re doing onboarding?
421 00:48:45.520 ⇒ 00:48:47.720 Amber Lin: Yeah, I’ll do that.
422 00:48:48.540 ⇒ 00:48:49.300 Mustafa Raja: Okay.
423 00:48:53.450 ⇒ 00:48:56.920 Mustafa Raja: I’ll do what culture seamstone.
424 00:49:35.140 ⇒ 00:49:39.520 Amber Lin: Oh, I see. Whenever I add above yours, it…
425 00:49:39.890 ⇒ 00:49:40.210 Mustafa Raja: I think.
426 00:49:40.210 ⇒ 00:49:44.460 Amber Lin: It pushes your… Yeah, it pushes yours quick.
427 00:49:45.540 ⇒ 00:49:46.349 Amber Lin: Let’s see…
428 00:49:46.350 ⇒ 00:49:49.530 Mustafa Raja: It’s, it’s Krolls only, it’s not the umpire, I guess.
429 00:49:51.630 ⇒ 00:49:52.770 Mustafa Raja: I’m saying this.
430 00:50:15.540 ⇒ 00:50:18.350 Mustafa Raja: So, when did you join Brain… Brain Forge?
431 00:50:19.250 ⇒ 00:50:25.920 Amber Lin: I joined this year in March, so actually not that much earlier than you. When did you join, like, on…
432 00:50:25.920 ⇒ 00:50:26.770 Mustafa Raja: -Oh.
433 00:50:26.770 ⇒ 00:50:27.860 Amber Lin: June? May?
434 00:50:27.860 ⇒ 00:50:31.369 Mustafa Raja: Yeah, yeah, yeah, June, June. Every June.
435 00:50:31.950 ⇒ 00:50:32.640 Mustafa Raja: Yep.
436 00:51:40.620 ⇒ 00:51:42.940 Mustafa Raja: Oh, we are in a grooming session.
437 00:51:45.540 ⇒ 00:51:48.600 Mustafa Raja: We are in a grooming session meeting.
438 00:51:49.090 ⇒ 00:51:50.590 Amber Lin: Oh, okay, okay, then…
439 00:51:50.590 ⇒ 00:51:53.520 Mustafa Raja: That, that’s, that’s in 10 minutes, too.
440 00:51:53.750 ⇒ 00:51:55.870 Amber Lin: Oh, okay. We’ll go there then.
441 00:51:59.230 ⇒ 00:52:00.840 Mustafa Raja: Yes, sir.
442 00:52:24.080 ⇒ 00:52:26.080 Amber Lin: Okay, we added more than half.
443 00:52:27.710 ⇒ 00:52:29.410 Amber Lin: Last four, last four.
444 00:52:29.570 ⇒ 00:52:32.170 Amber Lin: Commercial… I’ll do commercial pests then.
445 00:53:05.150 ⇒ 00:53:08.910 Mustafa Raja: Oh, so you met your brother then, right? When your parents?
446 00:53:08.910 ⇒ 00:53:09.730 Amber Lin: Yeah.
447 00:53:09.790 ⇒ 00:53:11.150 Mustafa Raja: Yeah, they…
448 00:53:11.150 ⇒ 00:53:15.139 Amber Lin: He is… he’s very cute, he’s 5 years old, but he’s…
449 00:53:15.140 ⇒ 00:53:15.540 Mustafa Raja: Oh.
450 00:53:15.540 ⇒ 00:53:17.179 Amber Lin: Very talkative.
451 00:53:17.180 ⇒ 00:53:18.460 Mustafa Raja: Oh, that’s true.
452 00:53:18.460 ⇒ 00:53:33.400 Amber Lin: So he talks all day and all night, and the Airbnb people downstairs came up to my parents, they were like, please adhere to quiet hours. I was like, oh, I am sorry.
453 00:53:33.610 ⇒ 00:53:36.619 Amber Lin: He was very, very, very loud.
454 00:53:37.690 ⇒ 00:53:40.779 Mustafa Raja: That’s a… that’s nice, actually, no?
455 00:53:40.780 ⇒ 00:53:45.050 Amber Lin: I mean… I mean, it’s… it’s lively.
456 00:53:46.230 ⇒ 00:53:51.830 Amber Lin: But… Like… as parents, I think they have.
457 00:53:51.830 ⇒ 00:53:52.300 Mustafa Raja: Oh, boy.
458 00:53:52.300 ⇒ 00:53:52.930 Amber Lin: time.
459 00:53:53.970 ⇒ 00:53:54.570 Mustafa Raja: Yeah.
460 00:53:56.530 ⇒ 00:54:03.659 Amber Lin: But he made me, like kids a bit more, because before, I was like, I will never, ever.
461 00:54:03.660 ⇒ 00:54:04.469 Mustafa Raja: I’m kidding.
462 00:54:04.470 ⇒ 00:54:09.179 Amber Lin: I was like, maybe, maybe, some nice kids. We’ll see.
463 00:54:13.600 ⇒ 00:54:16.269 Amber Lin: I don’t like that they have
464 00:54:16.810 ⇒ 00:54:20.540 Amber Lin: Docs, files, that makes me have to open them.
465 00:54:20.910 ⇒ 00:54:28.590 Amber Lin: And then open them in… And, like, the Brainforge account, and then open my Google Docs.
466 00:54:30.010 ⇒ 00:54:30.950 Mustafa Raja: Yeah.
467 00:54:32.420 ⇒ 00:54:36.990 Mustafa Raja: Yeah, some of them, do not have the priv… Premium.
468 00:54:37.970 ⇒ 00:54:39.370 Amber Lin: That’s very annoying.
469 00:54:39.370 ⇒ 00:54:41.849 Mustafa Raja: And preview was coming in very handy.
470 00:54:43.360 ⇒ 00:54:44.549 Amber Lin: I would agree.
471 00:54:45.160 ⇒ 00:54:49.250 Mustafa Raja: Okay, so which one are you doing? Commercial pest, or…
472 00:54:49.660 ⇒ 00:54:52.410 Amber Lin: I’ll do commercial pests, then.
473 00:54:52.410 ⇒ 00:54:56.409 Mustafa Raja: Okay, I will be doing home improvement.
474 00:54:56.860 ⇒ 00:54:57.510 Amber Lin: Okay.
475 00:55:32.740 ⇒ 00:55:34.530 Amber Lin: Okay, we have 5 minutes.
476 00:55:35.370 ⇒ 00:55:37.620 Amber Lin: Oh, let’s see how far we can get.
477 00:56:37.300 ⇒ 00:56:43.820 Mustafa Raja: So these spreadsheets will be doing the same thing as we did with the others. The… SQL agent.
478 00:56:44.310 ⇒ 00:56:47.080 Amber Lin: Yeah, most likely.
479 00:59:18.060 ⇒ 00:59:20.749 Mustafa Raja: Oh, these are just a bunch of images.
480 00:59:22.650 ⇒ 00:59:23.620 Amber Lin: Huh? Which one?
481 00:59:24.410 ⇒ 00:59:28.070 Mustafa Raja: Home pool escalation flow shirt.
482 00:59:28.830 ⇒ 00:59:30.870 Amber Lin: Oh, I see.
483 00:59:30.870 ⇒ 00:59:31.270 Mustafa Raja: Mmm.
484 00:59:31.270 ⇒ 00:59:33.970 Amber Lin: Skip that, and I can… I can go check that.
485 00:59:34.220 ⇒ 00:59:36.010 Mustafa Raja: Okay. Two moments.
486 00:59:36.010 ⇒ 00:59:38.540 Amber Lin: Can I just… Yeah, okay.
487 00:59:38.940 ⇒ 00:59:42.210 Amber Lin: Get started online, see what I can do.
488 01:00:40.440 ⇒ 01:00:45.089 Mustafa Raja: Yeah, I think this was good, if this was only one-time thing.
489 01:00:45.660 ⇒ 01:00:46.340 Amber Lin: Yeah.
490 01:00:46.690 ⇒ 01:00:47.300 Amber Lin: I agree.
491 01:00:47.300 ⇒ 01:00:53.030 Mustafa Raja: That would have taken some engineering power, that would have taken some… I agree.
492 01:00:54.200 ⇒ 01:01:02.899 Amber Lin: Okay, let’s go to… let’s go to that one. I think we’re pretty good on this. We’ll probably split lawn.
493 01:01:03.180 ⇒ 01:01:07.730 Amber Lin: And then… Finish home improvement. Okay.
494 01:01:09.020 ⇒ 01:01:10.380 Mustafa Raja: Okay, see you there.
495 01:01:10.380 ⇒ 01:01:12.170 Amber Lin: Greetings. See you there. Bye.
496 01:01:12.170 ⇒ 01:01:12.760 Mustafa Raja: Bye.