Meeting Title: Brainforge Strategy Team Sync Date: 2026-04-06 Meeting participants: Amber Lin, Advait Nandakumar Menon, Greg Stoutenburg
WEBVTT
1 00:00:35.850 ⇒ 00:00:37.330 Amber Lin: Hello!
2 00:00:40.070 ⇒ 00:00:41.290 Advait Nandakumar Menon: Hey, how’s up, Glenn?
3 00:00:41.800 ⇒ 00:00:49.049 Amber Lin: Pretty good! It’s been a while. How’s your first 2 weeks? I think it’s been 2 weeks, right, since you joined?
4 00:00:51.240 ⇒ 00:00:55.820 Advait Nandakumar Menon: Yeah, it’s… it’s gonna be 3 weeks this Wednesdays.
5 00:00:55.820 ⇒ 00:00:56.560 Amber Lin: Wow.
6 00:00:56.560 ⇒ 00:01:01.200 Advait Nandakumar Menon: Yeah, so far so good. Pretty exciting to work on some of the projects here.
7 00:01:01.780 ⇒ 00:01:03.310 Amber Lin: Whoa, awesome!
8 00:01:03.620 ⇒ 00:01:06.400 Greg Stoutenburg: Three weeks in Brainforge time, that makes you a veteran.
9 00:01:06.930 ⇒ 00:01:08.389 Advait Nandakumar Menon: He’s already done everything.
10 00:01:11.910 ⇒ 00:01:16.689 Greg Stoutenburg: Hey, real quick, just because, Advait, I saw that you tagged me,
11 00:01:16.790 ⇒ 00:01:26.140 Greg Stoutenburg: looking at the spec, I’m thinking maybe we do either Dashboard 2 or Dashboard 3. I think Dashboard 3 would be visually really cool.
12 00:01:26.250 ⇒ 00:01:31.380 Greg Stoutenburg: And probably easier to throw… easy to throw together, because it’s only 3 charts, and one of them’s a map.
13 00:01:37.730 ⇒ 00:01:38.710 Advait Nandakumar Menon: Yeah.
14 00:01:39.190 ⇒ 00:01:44.609 Greg Stoutenburg: And then, Yeah, or else maybe Dashboard 2.
15 00:01:47.040 ⇒ 00:01:54.500 Greg Stoutenburg: It has a few more calculations in it, and I want to defer to you on that for which one you could deliver quickly.
16 00:01:56.720 ⇒ 00:02:00.629 Advait Nandakumar Menon: I would say 3, probably it’s the least requirements.
17 00:02:01.010 ⇒ 00:02:01.370 Greg Stoutenburg: Okay.
18 00:02:01.370 ⇒ 00:02:02.649 Advait Nandakumar Menon: I’m seeing over here.
19 00:02:04.260 ⇒ 00:02:05.230 Advait Nandakumar Menon: Yeah.
20 00:02:08.780 ⇒ 00:02:09.410 Greg Stoutenburg: Okay.
21 00:02:10.660 ⇒ 00:02:11.400 Greg Stoutenburg: Cool.
22 00:02:12.090 ⇒ 00:02:17.940 Advait Nandakumar Menon: But I think I can do two as well, if that makes more sense, getting that in front of the COO.
23 00:02:18.750 ⇒ 00:02:19.610 Greg Stoutenburg: Which one?
24 00:02:20.470 ⇒ 00:02:21.989 Advait Nandakumar Menon: Dashboard, too.
25 00:02:23.920 ⇒ 00:02:24.390 Greg Stoutenburg: Okay.
26 00:02:24.390 ⇒ 00:02:28.100 Advait Nandakumar Menon: I mean, which makes more sense to get it in front of them?
27 00:02:29.980 ⇒ 00:02:33.350 Greg Stoutenburg: Yeah, well, I mean, she actually just pinged me in another channel and said.
28 00:02:33.910 ⇒ 00:02:37.330 Greg Stoutenburg: let’s prioritize Dashboard 4, but I don’t know if she means by this.
29 00:02:41.660 ⇒ 00:02:42.470 Advait Nandakumar Menon: Okay.
30 00:02:52.170 ⇒ 00:02:53.930 Advait Nandakumar Menon: Yeah, I can see her comment.
31 00:02:54.470 ⇒ 00:02:57.290 Advait Nandakumar Menon: A comment on the G-Doc, yeah.
32 00:03:05.580 ⇒ 00:03:08.639 Greg Stoutenburg: Sorry to derail your meeting, Amber.
33 00:03:08.640 ⇒ 00:03:09.740 Amber Lin: No, all good.
34 00:03:09.930 ⇒ 00:03:13.049 Amber Lin: All good. So, I think…
35 00:03:13.330 ⇒ 00:03:24.209 Amber Lin: To kick off this meeting, I have a few items on the agenda. Utam M. Braille has been working on the learning and development, and I’m just…
36 00:03:24.550 ⇒ 00:03:41.709 Amber Lin: trying to drive that for the strategy team. So, I would start off with, introducing the Omni certifications that we will be doing, and then what it would look like, what reimbursements for certifications looks like,
37 00:03:41.820 ⇒ 00:04:00.870 Amber Lin: And then I… I know they’ve been developing a internal, like, AI curriculum that all new hires will complete, and that we will, also start working on. So there’s those two things, and lastly, like, if we have any brainstorming we want to do today, we can start
38 00:04:00.870 ⇒ 00:04:14.329 Amber Lin: creating a doc, or starting to write up, or try different things, because I know, Greg, you’ve been making different skills, and Avid has been using a lot of cursor with development, so…
39 00:04:15.330 ⇒ 00:04:19.299 Amber Lin: Let me hold this up.
40 00:04:22.830 ⇒ 00:04:28.920 Amber Lin: So, this should be really easy to access. This will just be in the Brainforce platform.
41 00:04:29.300 ⇒ 00:04:33.969 Amber Lin: So, when you go there… Ashley, can you guys try… try opening this up?
42 00:04:34.250 ⇒ 00:04:37.219 Amber Lin: This should be available for everybody.
43 00:04:39.800 ⇒ 00:04:43.670 Amber Lin: So, just in the platform that you usually look at transcripts.
44 00:04:44.000 ⇒ 00:04:46.190 Amber Lin: Oh, Greg, is this your birthday?
45 00:04:47.460 ⇒ 00:04:47.860 Advait Nandakumar Menon: Yeah.
46 00:04:47.860 ⇒ 00:04:48.650 Greg Stoutenburg: Today’s not member at the.
47 00:04:48.650 ⇒ 00:04:50.450 Amber Lin: Okay.
48 00:04:51.270 ⇒ 00:04:52.199 Greg Stoutenburg: Wait, wait, wait, wait, wait.
49 00:04:52.230 ⇒ 00:04:55.200 Amber Lin: Wait, go back to that.
50 00:04:55.560 ⇒ 00:04:57.429 Amber Lin: Oh, I know why.
51 00:04:57.430 ⇒ 00:05:06.879 Greg Stoutenburg: So, I… I had just opened… when I didn’t see a link, I had just started a meeting on my own, and I was gonna share the link with you guys, and my 10-year-old…
52 00:05:07.700 ⇒ 00:05:11.329 Greg Stoutenburg: wants an e-bike for his birthday, and like, what if I do this?
53 00:05:12.070 ⇒ 00:05:21.239 Greg Stoutenburg: Like, you know, because I told him they’re really expensive, and he’s like, well, maybe I just won’t… I’ll just get that for my birthday, and then, like, nothing for Christmas. And so, like, he’s, like, trying to, like, negotiate.
54 00:05:21.630 ⇒ 00:05:24.589 Greg Stoutenburg: I guess they picked up on him saying the word birthday.
55 00:05:25.450 ⇒ 00:05:29.230 Amber Lin: Okay, very cool. So, we’ll be under here.
56 00:05:29.510 ⇒ 00:05:36.010 Amber Lin: That’s so funny. We’ll be under Learning and Development, and Certification.
57 00:05:36.380 ⇒ 00:05:46.929 Amber Lin: So, I think for Q2, our strategy team, which right now it’s us, and Garrett, oh, and…
58 00:05:46.950 ⇒ 00:06:01.210 Amber Lin: I should… I totally forgot. Okay, Jasmine just started full-time this… this week, so us, Jasmine, Garrett, which also starts today, and Robert. So that’s our…
59 00:06:01.250 ⇒ 00:06:02.850 Amber Lin: team of…
60 00:06:04.490 ⇒ 00:06:16.169 Amber Lin: 6. So, we just need to complete the Omni certification, and you, we… I think Ral and Uta made very detailed instructions here, so…
61 00:06:16.330 ⇒ 00:06:33.919 Amber Lin: for Omni, I think we should all do the platform certification, and if we want, we can then do the quick start, which is more of, I think, Greg, the work that you do, working with stakeholders and teaching them how to use Omni.
62 00:06:34.540 ⇒ 00:06:42.229 Amber Lin: Okay. So… It’ll be great if you guys can scroll through this. It’s pretty…
63 00:06:42.510 ⇒ 00:06:57.010 Amber Lin: Explanatory, ignore this first step, and then all the resources are here, and you can click on these links, and then the resource… this… these are, like, video instructions.
64 00:06:57.040 ⇒ 00:07:05.439 Amber Lin: they’ve created, which I find easier to follow. I haven’t started yet, so I’ll be… we’ll just be doing this together.
65 00:07:05.640 ⇒ 00:07:23.669 Amber Lin: And here are the different classes, and when we do this certification, I don’t think Omni has a cost to it, but it would be reimbursed if there’s any cost to it, and I believe they have a bonus, based on certificates, so…
66 00:07:23.780 ⇒ 00:07:26.200 Amber Lin: If we do this, we’ll also… so many.
67 00:07:26.560 ⇒ 00:07:39.450 Amber Lin: Cool. That’s for Omni, and then they’re also developing a curriculum for… Let’s see…
68 00:07:40.310 ⇒ 00:07:45.890 Amber Lin: Just an overall AI curriculum that I think Rob will share in a bit.
69 00:07:45.940 ⇒ 00:07:59.949 Amber Lin: Because I can’t find it here right now. So once we have that, we’ll also aim to complete that curriculum internally, which I don’t think we’ll have any problem with, because we’ve been using it pretty frequently, but it will be a good
70 00:07:59.950 ⇒ 00:08:06.059 Amber Lin: Refresher of, oh, okay, these are some extra stuff that we’re able to do now, because they do develop pretty fast.
71 00:08:06.060 ⇒ 00:08:14.729 Greg Stoutenburg: Yeah. Yeah. I spent a couple hours on one of them, when I was working on this for Eden, but I hadn’t finished it yet, but yeah, it’s not.
72 00:08:14.730 ⇒ 00:08:18.980 Amber Lin: Cool, awesome. What is a… I think…
73 00:08:19.530 ⇒ 00:08:38.669 Amber Lin: the timeline, it says 1 to 2 weeks. I know we’re all, like, pretty busy. I think this overall will take about 8 hours. What is a reasonable checkpoint and then milestones we should set as a team for,
74 00:08:39.059 ⇒ 00:08:44.719 Amber Lin: doing this certification? Like, what do you guys think is reasonable?
75 00:08:49.120 ⇒ 00:08:50.819 Greg Stoutenburg: Maybe we check in Friday.
76 00:08:55.090 ⇒ 00:08:55.730 Advait Nandakumar Menon: Yeah.
77 00:08:56.450 ⇒ 00:09:00.059 Amber Lin: What progress should we all get to by Friday?
78 00:09:02.150 ⇒ 00:09:03.580 Amber Lin: Should we do half of it?
79 00:09:06.500 ⇒ 00:09:08.790 Greg Stoutenburg: So… Yeah.
80 00:09:09.040 ⇒ 00:09:15.759 Greg Stoutenburg: So, in the above portion, is it laying out what all of the modules are?
81 00:09:16.050 ⇒ 00:09:17.280 Amber Lin: Yeah, there’s…
82 00:09:17.720 ⇒ 00:09:18.160 Greg Stoutenburg: This is…
83 00:09:18.160 ⇒ 00:09:19.759 Amber Lin: modules in total.
84 00:09:20.630 ⇒ 00:09:21.460 Greg Stoutenburg: Yeah.
85 00:09:22.770 ⇒ 00:09:28.449 Greg Stoutenburg: Yeah, I mean, honestly, I’m moving this week, so it’s going to be extra difficult to find, like, extra time.
86 00:09:28.450 ⇒ 00:09:31.480 Amber Lin: Let’s see. I mean, you’ve already completed some modules.
87 00:09:31.480 ⇒ 00:09:33.070 Greg Stoutenburg: I have done some of them, yeah.
88 00:09:33.070 ⇒ 00:09:34.519 Amber Lin: It’ll be easier for you.
89 00:09:34.520 ⇒ 00:09:47.759 Greg Stoutenburg: I mean, yeah, I mean, the first thing you have to do, no matter which one of these you’re in, is… it breaks it up as though they’re different sections, but it’s really just a very long slideshow. And so you’re just kind of, like, ticking through as you go.
90 00:09:48.480 ⇒ 00:09:49.290 Greg Stoutenburg: Yeah.
91 00:09:50.480 ⇒ 00:09:53.379 Greg Stoutenburg: Sorry, I’m not trying to avoid answering the question.
92 00:09:54.820 ⇒ 00:09:57.629 Greg Stoutenburg: I think where I was, was not LearnOMNE.org.
93 00:09:57.810 ⇒ 00:09:58.690 Amber Lin: Oh, okay.
94 00:09:59.650 ⇒ 00:10:02.390 Amber Lin: Were you on this, the training guide?
95 00:10:03.220 ⇒ 00:10:03.850 Greg Stoutenburg: Yes.
96 00:10:04.190 ⇒ 00:10:04.700 Greg Stoutenburg: Yep.
97 00:10:04.700 ⇒ 00:10:06.659 Amber Lin: Oh, where did you get to?
98 00:10:07.740 ⇒ 00:10:09.080 Greg Stoutenburg: Man,
99 00:10:09.810 ⇒ 00:10:15.969 Greg Stoutenburg: I don’t know, because it’s all just… I mean, I remember getting past where it was talking about, like, SQL, for example.
100 00:10:15.970 ⇒ 00:10:17.160 Amber Lin: Oh, okay.
101 00:10:18.060 ⇒ 00:10:18.830 Amber Lin: Hmm.
102 00:10:21.680 ⇒ 00:10:23.369 Greg Stoutenburg: Yeah, I remember the IDE stuff.
103 00:10:24.970 ⇒ 00:10:29.880 Greg Stoutenburg: The Omni101… I think I got through schedules and alerts.
104 00:10:30.500 ⇒ 00:10:35.519 Greg Stoutenburg: Might have gotten through a lot of… a lot of it, but again, it was just… it was just viewing. It was none of this, like…
105 00:10:36.220 ⇒ 00:10:37.410 Greg Stoutenburg: modules.
106 00:10:37.590 ⇒ 00:10:39.110 Amber Lin: I see.
107 00:10:39.210 ⇒ 00:10:40.780 Amber Lin: Okay.
108 00:10:41.800 ⇒ 00:10:42.040 Greg Stoutenburg: Oh.
109 00:10:42.280 ⇒ 00:10:49.879 Amber Lin: I mean, what do you think? By this Friday, what’s the reasonable amount we should all aim to complete?
110 00:10:50.600 ⇒ 00:10:51.569 Greg Stoutenburg: So, we’re going for the.
111 00:10:51.570 ⇒ 00:10:52.020 Advait Nandakumar Menon: Let me play.
112 00:10:52.020 ⇒ 00:10:53.060 Greg Stoutenburg: platform one, right?
113 00:10:53.060 ⇒ 00:10:54.520 Amber Lin: Yeah, we’ll have to get that.
114 00:10:54.520 ⇒ 00:10:54.880 Advait Nandakumar Menon: I don’.
115 00:10:54.880 ⇒ 00:10:56.689 Amber Lin: First, before anything else.
116 00:10:56.690 ⇒ 00:10:57.470 Greg Stoutenburg: Okay.
117 00:11:01.710 ⇒ 00:11:06.630 Advait Nandakumar Menon: By this Friday, if you’re going by the supplemental, I would say 1 to 4.
118 00:11:08.180 ⇒ 00:11:12.740 Advait Nandakumar Menon: Yeah, chapters 1 to 4, I think, is reasonable.
119 00:11:13.260 ⇒ 00:11:14.190 Advait Nandakumar Menon: Bye.
120 00:11:14.410 ⇒ 00:11:19.909 Advait Nandakumar Menon: From the training guide, yeah, I’m not sure I need to look into it.
121 00:11:19.910 ⇒ 00:11:26.180 Amber Lin: Yeah, I also don’t know, like, how big each of… each of these are.
122 00:11:27.340 ⇒ 00:11:29.519 Amber Lin: Oh, these are… oh.
123 00:11:30.540 ⇒ 00:11:31.280 Advait Nandakumar Menon: Yeah.
124 00:11:31.280 ⇒ 00:11:32.630 Amber Lin: Individual…
125 00:11:32.630 ⇒ 00:11:34.709 Advait Nandakumar Menon: Yes, I’m there. Yeah.
126 00:11:34.710 ⇒ 00:11:36.170 Amber Lin: Things. Okay.
127 00:11:36.430 ⇒ 00:11:47.709 Amber Lin: Then, can we all look at the… The modules today.
128 00:11:47.820 ⇒ 00:11:50.100 Amber Lin: And then we’ll send in the…
129 00:11:50.260 ⇒ 00:11:54.750 Amber Lin: In our channel, like, what we aim for by the end of this week.
130 00:11:55.390 ⇒ 00:12:00.890 Greg Stoutenburg: So, yeah, I do want to point out, so looking at the Omni platform section.
131 00:12:01.620 ⇒ 00:12:12.109 Greg Stoutenburg: It says, step 2, complete the training. 2A, official platform training guide, primary exam-backed. That’s where it brings up the Omni Platform Training Guide that we were just looking at.
132 00:12:12.440 ⇒ 00:12:13.120 Amber Lin: Yeah.
133 00:12:13.370 ⇒ 00:12:18.880 Greg Stoutenburg: But then, 2B is what lays out these different modules and time estimates.
134 00:12:19.750 ⇒ 00:12:28.760 Greg Stoutenburg: So, if we were looking at, for example, if we set as a goal getting to Section 4 in Section 2B, we would actually be
135 00:12:29.050 ⇒ 00:12:33.889 Greg Stoutenburg: completing the whole Omni Platform training guide, and then getting through Section 4.
136 00:12:35.030 ⇒ 00:12:35.750 Amber Lin: C.
137 00:12:35.750 ⇒ 00:12:36.770 Greg Stoutenburg: So, I think…
138 00:12:36.770 ⇒ 00:12:46.199 Amber Lin: I was more thinking of SSUs as a long side, so I was thinking maybe it followed the same pace?
139 00:12:46.400 ⇒ 00:12:48.660 Greg Stoutenburg: Yeah, it says supplemental, I mean, like…
140 00:12:48.850 ⇒ 00:12:49.980 Amber Lin: Like, for example…
141 00:12:49.980 ⇒ 00:12:50.429 Greg Stoutenburg: that requires.
142 00:12:50.430 ⇒ 00:12:58.600 Amber Lin: 101, and all the… It’s Omni Workbook Dashboard Modeling.
143 00:12:58.600 ⇒ 00:12:58.950 Greg Stoutenburg: Yeah.
144 00:12:58.950 ⇒ 00:13:04.360 Amber Lin: this… Omni workbook model… Dashboarding.
145 00:13:05.440 ⇒ 00:13:09.389 Amber Lin: Like, maybe they do work alongside each other? Let’s…
146 00:13:09.390 ⇒ 00:13:09.889 Greg Stoutenburg: I don’t know.
147 00:13:09.890 ⇒ 00:13:20.869 Amber Lin: I’m gonna go try and do some parts of this and some parts of this. I’ll get back in what it will look like, but if we cannot go until 4, we’ll probably do it until 2.
148 00:13:20.870 ⇒ 00:13:21.430 Greg Stoutenburg: Yeah.
149 00:13:21.430 ⇒ 00:13:23.010 Amber Lin: Either… either this or that.
150 00:13:23.010 ⇒ 00:13:30.600 Greg Stoutenburg: Yeah, because again, like, the official Omni certification is the platform training guide plus the test at the end.
151 00:13:31.160 ⇒ 00:13:31.700 Amber Lin: Yeah.
152 00:13:31.700 ⇒ 00:13:33.779 Greg Stoutenburg: So that is already quite a lot to try to get through.
153 00:13:33.780 ⇒ 00:13:49.349 Amber Lin: Yeah, I agree, I agree. Okay, so we’ll… I’ll take a look, and then we’ll send in the channel what we agree to, and plus this week, I think I have to meet with Jasmine and Garrett to make sure they know what this is, but they’re operating today. Cool, okay.
154 00:13:49.350 ⇒ 00:13:49.910 Greg Stoutenburg: Okay.
155 00:13:50.150 ⇒ 00:13:54.820 Amber Lin: That’s… I think that’s enough time spent there, and once Sprawl sends the curriculum, we can…
156 00:13:55.150 ⇒ 00:13:56.820 Amber Lin: We can talk about that.
157 00:13:56.820 ⇒ 00:13:57.390 Greg Stoutenburg: Yeah.
158 00:13:57.390 ⇒ 00:13:59.269 Amber Lin: I don’t see a curriculum yet.
159 00:13:59.450 ⇒ 00:14:05.859 Amber Lin: Okay. Other than that, I was… I was very excited to talk about the, like, the brainstorming stuff.
160 00:14:06.270 ⇒ 00:14:08.480 Amber Lin: Oh, Avi, you had a… you had a question?
161 00:14:10.080 ⇒ 00:14:10.860 Advait Nandakumar Menon: No, I’m adding.
162 00:14:11.220 ⇒ 00:14:12.050 Amber Lin: Oh, okay.
163 00:14:12.410 ⇒ 00:14:21.010 Amber Lin: Do you guys… would you guys like to talk about any brainstorming ideas, any automation ideas you’ve been doing or want to do?
164 00:14:22.710 ⇒ 00:14:27.619 Greg Stoutenburg: Yeah, like, like, what do you mean, like, automating things for this team, or…
165 00:14:27.810 ⇒ 00:14:43.760 Amber Lin: For this team, or related to the work we do, I think, like the ticket checker, I think you created, or, say, creating slide decks, or, running analysis, or even with the Omni skills, I think…
166 00:14:43.760 ⇒ 00:14:49.329 Amber Lin: Avid was using the CLI recently of creating dashboards and making models.
167 00:14:49.400 ⇒ 00:14:55.110 Amber Lin: And that type of stuff. Also, to keep all of us up to date, making sure that we’re all on track.
168 00:14:56.390 ⇒ 00:15:01.910 Greg Stoutenburg: Yeah. Actually, Ivey, I’d love to hear what… how the, CLI work that you did.
169 00:15:02.180 ⇒ 00:15:14.999 Greg Stoutenburg: turned out for your workflow, and then, like, is there anything we can learn from it to improve it? Like, I saw that you said that the dashboard it created wasn’t… it actually was, like, full of errors, but I wonder if that’s something that we could do anything about.
170 00:15:16.220 ⇒ 00:15:17.540 Advait Nandakumar Menon: So…
171 00:15:18.050 ⇒ 00:15:28.750 Advait Nandakumar Menon: The one thing is, I spoke to Amber about this, like, a week back, but I did use their API before the CLA came into picture to build a dashboard, a similar concept.
172 00:15:28.750 ⇒ 00:15:38.780 Advait Nandakumar Menon: And I don’t see a whole lot of improvements between what Omni did with their REST API and what they did with their actual CLI release, like, last week.
173 00:15:38.950 ⇒ 00:15:49.769 Advait Nandakumar Menon: So, with respect to finding the models, like, optimizing it for AI context, and, like, adding descriptions to each fields and whatnot, it is doing good, I would say.
174 00:15:49.910 ⇒ 00:15:50.380 Advait Nandakumar Menon: But…
175 00:15:50.380 ⇒ 00:15:50.770 Greg Stoutenburg: Okay.
176 00:15:50.770 ⇒ 00:16:00.999 Advait Nandakumar Menon: Dashboard is… it’s still something I think they are working on. I don’t think we can do something about it unless, Amber, you have a different opinion. What if you have tried it out?
177 00:16:04.360 ⇒ 00:16:21.779 Amber Lin: I also tried it with the API. I haven’t tried it with the CLI yet. I found that if I just gave it the queries, it will run all the queries correctly, but anything visually related of charts, where it’s placed…
178 00:16:21.780 ⇒ 00:16:22.100 Advait Nandakumar Menon: Yeah.
179 00:16:22.100 ⇒ 00:16:38.040 Amber Lin: the order is placed, it’s all a mess. I did try to say, hey, access this dashboard, download all the charts and visualizations, and it kind of improved, how things were, but it was still kind of broken.
180 00:16:38.040 ⇒ 00:16:39.119 Greg Stoutenburg: Yeah.
181 00:16:39.170 ⇒ 00:16:48.790 Amber Lin: So I… I don’t know, because I… what I really want is to say, okay, this metric name changed. I have to change all of this.
182 00:16:48.930 ⇒ 00:16:57.049 Amber Lin: in not only the model, and then also the dashboard, like, field names in the presentation, but I don’t know if we can…
183 00:16:57.200 ⇒ 00:16:59.330 Amber Lin: If we can do that.
184 00:17:00.020 ⇒ 00:17:14.390 Advait Nandakumar Menon: I don’t think, as of today, like, they’re still working on it, is what I heard, like, they’re trying to better it, but it’s pretty good at exploring and getting the information, like you just said, like, downloading it as charts or, like, PNGs, or whatever, but…
185 00:17:14.720 ⇒ 00:17:16.920 Advait Nandakumar Menon: Actually, building the dashboard is something…
186 00:17:17.319 ⇒ 00:17:29.969 Advait Nandakumar Menon: I don’t think it’s pretty good at… right now, but I think if you use Blobby as on its own within the UI and ask it to build a dashboard, I mean, build some visuals or something, it’s doing pretty good.
187 00:17:30.550 ⇒ 00:17:34.700 Advait Nandakumar Menon: It’s just through cursor and the CLI, I don’t think it’s…
188 00:17:34.930 ⇒ 00:17:39.089 Advait Nandakumar Menon: That good now, but I think it’ll get better later on.
189 00:17:40.470 ⇒ 00:17:42.480 Amber Lin: Okay, makes sense.
190 00:17:43.560 ⇒ 00:17:44.560 Advait Nandakumar Menon: Yeah, but…
191 00:17:45.650 ⇒ 00:17:53.309 Advait Nandakumar Menon: Yeah, one area I would want to see automation is probably with respect to dashboarding and Omni, so that’s…
192 00:17:53.440 ⇒ 00:17:55.089 Advait Nandakumar Menon: maybe something…
193 00:17:55.740 ⇒ 00:18:01.469 Advait Nandakumar Menon: That’s, falling on Omni as well to improve, just as much we should be using it, so…
194 00:18:01.580 ⇒ 00:18:04.979 Advait Nandakumar Menon: Yeah, probably not worth talking about now.
195 00:18:05.430 ⇒ 00:18:06.030 Amber Lin: Okay.
196 00:18:06.620 ⇒ 00:18:10.720 Amber Lin: Cool. One sec…
197 00:18:13.820 ⇒ 00:18:32.099 Amber Lin: I mean, that’s all… mainly the automation I’ve been looking at. All the other stuff was more on, say, data analysis and looking at opportunities, so I’m… I’m okay if we want to just call it a meeting right now, and then…
198 00:18:32.360 ⇒ 00:18:34.829 Amber Lin: We’ll meet again, probably Friday.
199 00:18:35.460 ⇒ 00:18:44.490 Greg Stoutenburg: Okay. Yeah, I mean, I think one thing I’ll just, like, mention here, so I created a skill to apply Jasmine’s dashboard standards,
200 00:18:44.490 ⇒ 00:18:45.390 Amber Lin: Okay.
201 00:18:45.390 ⇒ 00:18:51.870 Greg Stoutenburg: And, I haven’t actually, like, tried to point it at a dashboard yet. But…
202 00:18:52.260 ⇒ 00:19:00.749 Greg Stoutenburg: something I’m thinking would be helpful to automate, and I’m… I just… I don’t have a path for this yet, but it’s just like a, this would be nice kind of thing. Like, I…
203 00:19:01.210 ⇒ 00:19:05.799 Greg Stoutenburg: I used cursor and a whole bunch of context to create the dashboard spec.
204 00:19:06.010 ⇒ 00:19:08.780 Greg Stoutenburg: And still ended up with what felt like…
205 00:19:09.090 ⇒ 00:19:18.989 Greg Stoutenburg: a lot of, like, a lot of manual editing that I had to do, and really thinking through, like, what’s this supposed to do, and is the spec gonna get us there?
206 00:19:18.990 ⇒ 00:19:19.430 Amber Lin: Hmm.
207 00:19:19.430 ⇒ 00:19:26.550 Greg Stoutenburg: Something that could help us sharpen that would be good. And so, like, some very initial thoughts I have are…
208 00:19:26.870 ⇒ 00:19:37.079 Greg Stoutenburg: if we had something that could… and this is really an automation, but just, you know, maybe like a skill. If we had something that could spin up a specifications doc
209 00:19:37.250 ⇒ 00:19:39.979 Greg Stoutenburg: Based on industry?
210 00:19:40.290 ⇒ 00:19:51.769 Greg Stoutenburg: and information about a company, like their market, their product, things like that, questions their stakeholders tend to ask. I could see that being something that would be pretty awesome for us.
211 00:19:54.110 ⇒ 00:19:59.500 Amber Lin: Hmm. Can you give me an example of how that would run?
212 00:20:00.440 ⇒ 00:20:02.670 Greg Stoutenburg: Yeah, I don’t know, I’m just imagining something like…
213 00:20:02.960 ⇒ 00:20:08.989 Greg Stoutenburg: you go into Cursor, and you write up, you know, spec dashboard, You give the client name.
214 00:20:08.990 ⇒ 00:20:09.630 Amber Lin: Excellent.
215 00:20:09.630 ⇒ 00:20:11.459 Greg Stoutenburg: And it,
216 00:20:11.820 ⇒ 00:20:22.620 Greg Stoutenburg: you know, it verifies, you know, what industry. Alright, we’re in CPG. And then it goes, like, alright, then it looks at… it looks at, like, a CPG…
217 00:20:22.720 ⇒ 00:20:24.960 Greg Stoutenburg: Data playbook that we’ve got.
218 00:20:25.110 ⇒ 00:20:30.859 Greg Stoutenburg: And… Context on the client, and then, you know, spins up, you know, here’s a…
219 00:20:30.970 ⇒ 00:20:39.309 Greg Stoutenburg: here’s 8 pages on how to make dashboards for this, you know, the kinds of questions that a CPG customer would want.
220 00:20:39.610 ⇒ 00:20:43.890 Greg Stoutenburg: Filled in with the specifics of the company that we’re serving.
221 00:20:44.850 ⇒ 00:20:52.559 Amber Lin: Mmm. So it’s kind of like a combination of a sales search tool, and then, like.
222 00:20:52.870 ⇒ 00:20:56.549 Amber Lin: Link it with the database that we have for the…
223 00:20:56.860 ⇒ 00:20:58.509 Greg Stoutenburg: Yeah, so, like, you get all the…
224 00:20:58.720 ⇒ 00:21:00.869 Greg Stoutenburg: You get all the context on the client, but…
225 00:21:01.080 ⇒ 00:21:12.800 Greg Stoutenburg: the skill would follow a playbook for what kinds of metrics, right? Because different industries look at different types of metrics. But we don’t currently have anything that, like, enforces that.
226 00:21:12.940 ⇒ 00:21:13.990 Amber Lin: Yeah.
227 00:21:13.990 ⇒ 00:21:16.969 Greg Stoutenburg: So, that’s… that’s kind of the piece that I’m thinking of.
228 00:21:17.520 ⇒ 00:21:25.369 Amber Lin: Okay, yeah, I think I remember when I talked to Jasmine, or even when I talked to
229 00:21:25.510 ⇒ 00:21:35.940 Amber Lin: Someone more senior that’s in the strategy role, they usually know what people model, so maybe also we can start creating, like, an internal
230 00:21:36.330 ⇒ 00:21:44.909 Amber Lin: database of what we would like to look at, and then we can apply that skill of, oh, okay, CPG dashboarding standards.
231 00:21:45.490 ⇒ 00:21:50.969 Greg Stoutenburg: Yeah, and this might be something that an SL should lead, but it’s, yeah.
232 00:21:51.620 ⇒ 00:21:54.740 Greg Stoutenburg: Yeah, especially insofar as it applies to standards.
233 00:21:54.900 ⇒ 00:21:56.620 Greg Stoutenburg: Across clients.
234 00:21:59.480 ⇒ 00:22:00.300 Greg Stoutenburg: thought.
235 00:22:00.940 ⇒ 00:22:07.539 Amber Lin: Yeah, I like that, because I feel like our dashboarding spec right now is very,
236 00:22:08.100 ⇒ 00:22:13.910 Amber Lin: bottoms up of, hey, these are all the fields we want, but we haven’t really talked about,
237 00:22:14.180 ⇒ 00:22:17.729 Amber Lin: Like, overall, what the goal is, what we’re trying to accomplish.
238 00:22:18.060 ⇒ 00:22:19.949 Greg Stoutenburg: Yeah. Yeah, and I think…
239 00:22:20.560 ⇒ 00:22:35.120 Greg Stoutenburg: for Element, and some of this is on me, like, there are, or at least on me to revise, like, we have a lot of critical pieces of information that are kept in separate places that don’t obviously point to each other, and that’s something that should be revised.
240 00:22:36.790 ⇒ 00:22:40.260 Greg Stoutenburg: Like, we know their core questions. So, you know…
241 00:22:40.450 ⇒ 00:22:45.779 Greg Stoutenburg: A good dashboard spec might do something like, here’s this dashboard. What’s its goal?
242 00:22:46.260 ⇒ 00:22:47.079 Greg Stoutenburg: And there’s 3 seconds.
243 00:22:47.550 ⇒ 00:23:00.279 Greg Stoutenburg: like, it’s to answer this sort of question. Now, I managed to incorporate some of this stuff in the dashboard spec, but it’s just… the point is, again, like, what is the value of this dashboard? So, like, start there, and then start defining charts and fields.
244 00:23:00.280 ⇒ 00:23:00.970 Amber Lin: Yeah.
245 00:23:01.220 ⇒ 00:23:01.790 Greg Stoutenburg: Yeah.
246 00:23:02.720 ⇒ 00:23:03.360 Amber Lin: Cool.
247 00:23:05.060 ⇒ 00:23:05.700 Greg Stoutenburg: Nope.
248 00:23:06.260 ⇒ 00:23:21.299 Amber Lin: Alright, I think… I think we’ll have some productive sessions. We’ll meet… I’ll probably message… let’s message in the chat after we take a look. I’ll check in on progress, and then probably we’ll find a recurring time each week.
249 00:23:21.560 ⇒ 00:23:27.100 Amber Lin: To just me, brainstorm, and then maybe we can pair and devolve something in Kershirt together.
250 00:23:27.310 ⇒ 00:23:28.259 Greg Stoutenburg: Cool, sounds good.
251 00:23:28.260 ⇒ 00:23:28.960 Amber Lin: Yeah, okay.
252 00:23:28.960 ⇒ 00:23:30.449 Advait Nandakumar Menon: Yeah, sounds love. Awesome.
253 00:23:30.780 ⇒ 00:23:31.739 Amber Lin: Awesome, thank you.
254 00:23:32.320 ⇒ 00:23:34.209 Greg Stoutenburg: That’s a wrap, then? Okay. See you guys.
255 00:23:34.810 ⇒ 00:23:35.340 Amber Lin: Bye!
256 00:23:35.680 ⇒ 00:23:36.980 Advait Nandakumar Menon: See ya. Bye-bye.