Meeting Title: Eden Workstream Coordinating Date: 2026-04-17 Meeting participants: Greg Stoutenburg, Jasmin Multani, Garrett Gibson, Awaish Kumar
WEBVTT
1 00:00:08.850 ⇒ 00:00:10.240 Jasmin Multani: Morning, Greg.
2 00:00:36.730 ⇒ 00:00:37.990 Greg Stoutenburg: Hey, Jasmine, morning.
3 00:00:40.880 ⇒ 00:00:41.420 Jasmin Multani: Hello.
4 00:00:41.860 ⇒ 00:00:43.279 Jasmin Multani: Hi, can you hear me?
5 00:00:43.280 ⇒ 00:00:44.470 Greg Stoutenburg: Yep, I can hear you.
6 00:00:44.630 ⇒ 00:00:50.659 Jasmin Multani: Okay, cool, cool, cool. Let me just send something over to… Update right now.
7 00:00:50.840 ⇒ 00:00:51.480 Greg Stoutenburg: Sure.
8 00:00:57.360 ⇒ 00:00:58.179 Garrett Gibson: Hey, guys.
9 00:00:58.650 ⇒ 00:00:59.570 Jasmin Multani: Hey!
10 00:01:00.360 ⇒ 00:01:01.420 Garrett Gibson: Going.
11 00:01:01.420 ⇒ 00:01:02.299 Greg Stoutenburg: Good Friday, y’all.
12 00:01:03.360 ⇒ 00:01:03.775 Jasmin Multani: Bye.
13 00:01:05.340 ⇒ 00:01:06.230 Jasmin Multani: Fun.
14 00:01:09.180 ⇒ 00:01:15.099 Jasmin Multani: Great, I’m just… And let’s wait for a wish.
15 00:01:15.330 ⇒ 00:01:17.869 Jasmin Multani: In the meantime, I’m Sunday.
16 00:01:18.200 ⇒ 00:01:19.890 Jasmin Multani: But that’s something.
17 00:03:05.490 ⇒ 00:03:16.010 Garrett Gibson: I just sent the updated comp for Shivani, if you want to maybe send that over, Jasmine, and then I sent the updated roadmap, too, like, to align to sprints, so…
18 00:03:16.380 ⇒ 00:03:18.339 Jasmin Multani: Oh, come with you, God.
19 00:03:18.340 ⇒ 00:03:19.570 Garrett Gibson: Okay, cool.
20 00:03:21.740 ⇒ 00:03:22.830 Awaish Kumar: Hmm, hi.
21 00:03:23.200 ⇒ 00:03:24.500 Jasmin Multani: Oh, hey!
22 00:03:25.780 ⇒ 00:03:27.469 Jasmin Multani: Hey, Wayish, how’s it going?
23 00:03:29.190 ⇒ 00:03:29.880 Garrett Gibson: Hey, Rich.
24 00:03:32.570 ⇒ 00:03:34.270 Awaish Kumar: Hello, how are you doing?
25 00:03:34.270 ⇒ 00:03:36.239 Jasmin Multani: Good, good. Let me share screen.
26 00:03:41.160 ⇒ 00:03:42.610 Awaish Kumar: Oh, okay.
27 00:03:45.580 ⇒ 00:03:47.320 Jasmin Multani: Guys, can you guys see my screen?
28 00:03:48.260 ⇒ 00:03:48.950 Greg Stoutenburg: Yes.
29 00:03:48.950 ⇒ 00:03:49.670 Awaish Kumar: Yeah.
30 00:03:50.990 ⇒ 00:03:57.720 Jasmin Multani: Okay, cool, thanks. Thanks for joining. This call is more for me to figure out what’s happening.
31 00:03:58.130 ⇒ 00:03:59.919 Jasmin Multani: And,
32 00:04:00.110 ⇒ 00:04:05.619 Jasmin Multani: I’ve just been seeing so many different links and so many different texts that I just wanted to…
33 00:04:05.740 ⇒ 00:04:11.340 Jasmin Multani: centralize what was happening, and figure out how you guys are using links for the…
34 00:04:11.850 ⇒ 00:04:16.449 Jasmin Multani: and sources of truth for the Eden, workstream. Sounds good?
35 00:04:17.750 ⇒ 00:04:18.680 Jasmin Multani: Yes.
36 00:04:18.899 ⇒ 00:04:19.820 Jasmin Multani: You’re welcome.
37 00:04:20.019 ⇒ 00:04:28.250 Jasmin Multani: So, right now, Even just, like, looking at the source of statement of work,
38 00:04:29.240 ⇒ 00:04:31.530 Jasmin Multani: I think there were, like, 4 work streams.
39 00:04:31.820 ⇒ 00:04:34.050 Jasmin Multani: Happening, right? Is this aligned?
40 00:04:34.860 ⇒ 00:04:42.020 Greg Stoutenburg: I can actually speak to this. So, we closed out Q1, some things changed over time, and then…
41 00:04:42.020 ⇒ 00:04:42.370 Jasmin Multani: raw.
42 00:04:42.370 ⇒ 00:04:44.729 Greg Stoutenburg: Robert made a new pitch,
43 00:04:44.880 ⇒ 00:04:52.969 Greg Stoutenburg: maybe a couple weeks ago, correct me if I’m wrong, anyone who knows, that ELT signed off on, and then that changed a week ago.
44 00:04:53.190 ⇒ 00:05:01.679 Greg Stoutenburg: And might be about to change again. So, there’s been some flux in what the work streams are that we didn’t have committed to, and that we’re working on.
45 00:05:04.150 ⇒ 00:05:05.199 Greg Stoutenburg: A good amount of it.
46 00:05:06.890 ⇒ 00:05:14.759 Jasmin Multani: So, when… So, okay. And then, on top of that, I feel like this past week.
47 00:05:14.990 ⇒ 00:05:18.939 Jasmin Multani: I’ve seen zony escalations, like, oh, this isn’t done, this isn’t done.
48 00:05:19.510 ⇒ 00:05:26.050 Jasmin Multani: How are your… how are we tracking what is getting done if, like, so many things…
49 00:05:26.400 ⇒ 00:05:28.429 Jasmin Multani: These are in flux.
50 00:05:31.290 ⇒ 00:05:42.829 Greg Stoutenburg: So, Robert has been handling the, I mean, just, you know, ticket updates, that sort of discipline on Eden for all work streams, and reporting out to them.
51 00:05:43.190 ⇒ 00:05:49.689 Greg Stoutenburg: I mean, my… my opinion is that… linear discipline, has been…
52 00:05:50.530 ⇒ 00:06:00.030 Greg Stoutenburg: questionable, and that just makes it really hard to have the, you know, the right level of visibility. Like, I think there’s been a tendency to,
53 00:06:00.830 ⇒ 00:06:13.219 Greg Stoutenburg: there’s been a tendency for people to end up working in silos, and then, you know, so any individual person can be asked, hey, you know, where are you on this? And then, you know, they give some updates, but that doesn’t help have a higher level view of what’s going on with all of the work streams.
54 00:06:15.220 ⇒ 00:06:20.870 Jasmin Multani: Yeah, and these four work streams are still… in agreement?
55 00:06:23.960 ⇒ 00:06:24.959 Greg Stoutenburg: Which work streams?
56 00:06:25.500 ⇒ 00:06:32.080 Jasmin Multani: These four, so it’s, like, measurement, reliability and governance, product-led growth and experimentation.
57 00:06:32.460 ⇒ 00:06:33.180 Jasmin Multani: Data and…
58 00:06:33.180 ⇒ 00:06:43.849 Greg Stoutenburg: not really been a thing, but I mean, how… well, let’s see, how recent is this statement of work? It’s possible that Robert put this in front of ELT, like, a week ago, and I didn’t know. It says April, okay.
59 00:06:48.480 ⇒ 00:06:52.760 Jasmin Multani: He also said to not rely on the SOW.
60 00:06:52.760 ⇒ 00:06:53.140 Greg Stoutenburg: Okay.
61 00:06:53.140 ⇒ 00:06:54.550 Jasmin Multani: Rather, the…
62 00:06:54.910 ⇒ 00:07:04.379 Jasmin Multani: So I just wanted to see if people are even using it, but he did mention yesterday in the stand-up to rely on the documentation page.
63 00:07:04.780 ⇒ 00:07:06.879 Jasmin Multani: To figure out what to do next.
64 00:07:07.020 ⇒ 00:07:07.700 Greg Stoutenburg: Okay.
65 00:07:08.240 ⇒ 00:07:09.839 Jasmin Multani: From my perspective.
66 00:07:10.090 ⇒ 00:07:24.280 Jasmin Multani: I can’t, see, like… I think it’d be helpful if I understood, like, what is the backlog of things that we promised, and we map things out accordingly.
67 00:07:24.650 ⇒ 00:07:25.310 Greg Stoutenburg: Yeah.
68 00:07:25.520 ⇒ 00:07:30.039 Greg Stoutenburg: For that, maybe check the Q2 2026 data roadmap.
69 00:07:31.480 ⇒ 00:07:32.319 Greg Stoutenburg: All the way to the left.
70 00:07:34.780 ⇒ 00:07:36.230 Greg Stoutenburg: Other… other way.
71 00:07:36.230 ⇒ 00:07:37.190 Jasmin Multani: By the way.
72 00:07:37.190 ⇒ 00:07:39.689 Greg Stoutenburg: Yeah, it was, like, the second tab or something.
73 00:07:40.480 ⇒ 00:07:45.180 Jasmin Multani: Q… oh, Q2. Yeah, yeah. Alright, so this is the source of truth.
74 00:07:46.440 ⇒ 00:07:47.990 Greg Stoutenburg: Yeah, let’s just scroll down.
75 00:07:51.970 ⇒ 00:08:01.599 Jasmin Multani: Okay, this is aspirational, this is what’s promised… Yeah. So, Zoran is doing marketing and, marketing?
76 00:08:01.870 ⇒ 00:08:04.580 Greg Stoutenburg: Yep, yep, few different marketing work streams.
77 00:08:05.140 ⇒ 00:08:08.159 Jasmin Multani: Strategy and product.
78 00:08:08.420 ⇒ 00:08:10.559 Greg Stoutenburg: Yeah, that’s me,
79 00:08:10.740 ⇒ 00:08:19.499 Greg Stoutenburg: And that’s also sort of in flux, because of some changes that ELT has been making in the last roughly week.
80 00:08:19.840 ⇒ 00:08:20.610 Jasmin Multani: Yeah.
81 00:08:22.630 ⇒ 00:08:23.400 Jasmin Multani: Okay.
82 00:08:23.620 ⇒ 00:08:30.509 Jasmin Multani: And then… Awish, are you leaning in on…
83 00:08:31.460 ⇒ 00:08:35.020 Jasmin Multani: the EOS platform and the data ingestion?
84 00:08:39.620 ⇒ 00:08:40.950 Awaish Kumar: I mean, yes.
85 00:08:41.450 ⇒ 00:08:54.390 Awaish Kumar: Eden was split from, I have been owning this, overall for… for the… So far, right?
86 00:08:54.670 ⇒ 00:08:57.820 Awaish Kumar: Yeah. But we need to divide it.
87 00:08:57.970 ⇒ 00:09:01.660 Awaish Kumar: Into… Ingestion and modeling, plus,
88 00:09:02.730 ⇒ 00:09:06.529 Awaish Kumar: Dashboarding, or study, whatever you call it.
89 00:09:07.000 ⇒ 00:09:07.910 Awaish Kumar: Right.
90 00:09:08.150 ⇒ 00:09:12.529 Awaish Kumar: And… Then we have,
91 00:09:13.360 ⇒ 00:09:18.400 Awaish Kumar: data ingestion and anonymization, I… although it might have
92 00:09:18.720 ⇒ 00:09:23.979 Awaish Kumar: It might mention my name there, but this is something part of Eden AI.
93 00:09:24.240 ⇒ 00:09:28.570 Awaish Kumar: So we might… we might not need this, right? It’s… it’s kind of…
94 00:09:28.840 ⇒ 00:09:32.060 Awaish Kumar: part of Eden Eye project,
95 00:09:33.030 ⇒ 00:09:36.810 Awaish Kumar: And, like, we are kind of need and data team.
96 00:09:37.640 ⇒ 00:09:42.249 Awaish Kumar: I might be… I might help in the AI team if they need
97 00:09:42.550 ⇒ 00:09:46.670 Awaish Kumar: Anything from me, but so far, there has been no…
98 00:09:47.000 ⇒ 00:09:49.070 Awaish Kumar: Work from my side on that.
99 00:09:49.280 ⇒ 00:09:50.370 Awaish Kumar: project.
100 00:09:50.370 ⇒ 00:09:51.350 Jasmin Multani: So it does…
101 00:09:51.360 ⇒ 00:09:59.370 Awaish Kumar: Mainly, there is… Yeah, there is this, function, But,
102 00:10:00.740 ⇒ 00:10:08.259 Awaish Kumar: Yeah, kind of. You can assign it to me, but there’s no work right now, so we can ignore that, but for now, we have Eden West platform that
103 00:10:09.080 ⇒ 00:10:20.520 Awaish Kumar: that I’ve been owning for… so far, and it needs to be divided into different work streams, same… similar to what we have in linear. I have, like, this is kind of one initiative,
104 00:10:20.660 ⇒ 00:10:29.609 Awaish Kumar: Yeah, one kind of project, which is divided into multiple initiatives, and in those initiatives, we have one for Zoran.
105 00:10:30.290 ⇒ 00:10:35.880 Awaish Kumar: And then, we have 3, out of those.
106 00:10:36.610 ⇒ 00:10:42.880 Awaish Kumar: Out of those three, like, two are basically regarding infrastructure and data modeling.
107 00:10:43.100 ⇒ 00:10:48.029 Awaish Kumar: That is on me, and then there is a dashboarding part, which…
108 00:10:48.190 ⇒ 00:10:51.290 Awaish Kumar: now I want you to actually lead that.
109 00:10:51.870 ⇒ 00:10:58.089 Jasmin Multani: Okay, cool, so I’m glad we stated that. I want to go down the list.
110 00:10:58.090 ⇒ 00:11:03.399 Awaish Kumar: open the linear, you can bet, like, what I’m saying, you can clearly see that in…
111 00:11:03.580 ⇒ 00:11:06.050 Awaish Kumar: In linear projects, if you open that.
112 00:11:07.270 ⇒ 00:11:15.319 Awaish Kumar: Under Eden, there must… okay, you can’t see it. I will add you, but it says Eden OS, under Eden.
113 00:11:15.900 ⇒ 00:11:16.420 Jasmin Multani: Yes, please.
114 00:11:17.700 ⇒ 00:11:26.869 Awaish Kumar: And, it is… And in the… in there, you can see different initiatives, yes. So, basically.
115 00:11:27.470 ⇒ 00:11:29.539 Awaish Kumar: That’s that.
116 00:11:29.810 ⇒ 00:11:35.579 Awaish Kumar: And the majority of work that I actually ask U is,
117 00:11:35.740 ⇒ 00:11:39.500 Awaish Kumar: It’s regarding Eden West, right now. So, any further…
118 00:11:39.730 ⇒ 00:11:56.589 Awaish Kumar: for the… so we have diff… for the, like, we have multiple, like, work streams with Eden. So number one is a normal Eden analytics that we have been doing them for… for long. And in that, we have some standard
119 00:11:56.780 ⇒ 00:11:59.239 Awaish Kumar: Dashboards that we have built for them.
120 00:11:59.730 ⇒ 00:12:05.400 Awaish Kumar: And under those, under that work stream.
121 00:12:05.550 ⇒ 00:12:12.009 Awaish Kumar: We already have dashboards, and everything is there, but then there is sometimes,
122 00:12:12.570 ⇒ 00:12:20.159 Awaish Kumar: change requests come, like, basically add a new model, or create a new dashboard, or something like that, then I… we have to basically
123 00:12:20.520 ⇒ 00:12:22.200 Awaish Kumar: collaborate there.
124 00:12:22.440 ⇒ 00:12:30.149 Awaish Kumar: Second thing is Eden OS. Third thing is marketing, like, although the workstream lead is Zoran.
125 00:12:30.470 ⇒ 00:12:41.249 Awaish Kumar: But, it’s possible that he might need my help, or… on… for some… Ingestion, or infrastructure, or modeling.
126 00:12:44.040 ⇒ 00:13:01.800 Jasmin Multani: Okay, so I… I’m glad we started talking about this. I’m gonna go down the list and be like, hey, Greg, where do you need me to lean in, away to lean in, and Zoran, and just recency and repeat. Garrett, I know you were just, added on as a project manager, but, before we begin.
127 00:13:01.870 ⇒ 00:13:06.489 Jasmin Multani: My questions, is this helpful for you, or do you want to chime in on anything?
128 00:13:10.430 ⇒ 00:13:12.959 Garrett Gibson: Yeah, it’s helpful for me,
129 00:13:13.500 ⇒ 00:13:18.539 Garrett Gibson: I’m trying to think in terms of… so that SOW there, that’s…
130 00:13:18.850 ⇒ 00:13:22.300 Garrett Gibson: Is that the updated one, or is that just the original one that we have?
131 00:13:22.300 ⇒ 00:13:30.090 Jasmin Multani: It’s, I checked the edits, and it says that the most recent edit today was April 15th.
132 00:13:30.090 ⇒ 00:13:30.700 Garrett Gibson: True.
133 00:13:30.980 ⇒ 00:13:43.450 Jasmin Multani: So that’s why I was, like, kind of alarmed, but when I brought it up yesterday in the stand-up, Robert doubled down and said, hey, don’t use the SOW, use the, documentation.
134 00:13:43.450 ⇒ 00:13:51.960 Jasmin Multani: Reason being is that Eden is very… it’s a different client than Element. Element, is more structured, the contract is more flush.
135 00:13:51.960 ⇒ 00:13:54.790 Jasmin Multani: Whereas it seems like Eden is,
136 00:13:55.160 ⇒ 00:14:00.789 Jasmin Multani: It’s, like, a smaller con… like, a shorter contract, so,
137 00:14:01.130 ⇒ 00:14:10.339 Jasmin Multani: As in, like, there are shorter sprints or something. And so we have to be really in line with the clients to be like, is this something you still need?
138 00:14:13.140 ⇒ 00:14:23.499 Garrett Gibson: Got it. And so do we need a… so we have, like, the Eden Linear Plan, do we need a new roadmap, like, that maps this document to the…
139 00:14:23.710 ⇒ 00:14:24.979 Garrett Gibson: The eating implants?
140 00:14:26.080 ⇒ 00:14:33.279 Jasmin Multani: So I think this is the roadmap, the Q2, right? Right, Greg? Noesh? This is the roadmap that, we’re building off of?
141 00:14:33.280 ⇒ 00:14:35.999 Greg Stoutenburg: Yeah, I mean, that’s… yes.
142 00:14:36.200 ⇒ 00:14:39.730 Greg Stoutenburg: Yes, it’s a very important qualification that, like, it’s already wrong.
143 00:14:40.000 ⇒ 00:14:42.280 Greg Stoutenburg: But… Yeah.
144 00:14:43.070 ⇒ 00:14:47.610 Greg Stoutenburg: That is the… that is the source of truth, insofar as it’s written down, rather than living in…
145 00:14:47.990 ⇒ 00:14:48.810 Greg Stoutenburg: Folks’ heads.
146 00:14:48.810 ⇒ 00:14:49.430 Awaish Kumar: Pardon.
147 00:14:49.790 ⇒ 00:14:55.040 Awaish Kumar: So, like, so… Father Eden, The thing is that…
148 00:14:55.310 ⇒ 00:14:59.579 Awaish Kumar: We have multiple contracts with them for different things.
149 00:15:00.150 ⇒ 00:15:03.900 Awaish Kumar: And one is a standard contract, which basically
150 00:15:04.070 ⇒ 00:15:07.529 Awaish Kumar: is supporting analytics, right? And,
151 00:15:07.790 ⇒ 00:15:13.540 Awaish Kumar: for everything, basically. So, the… in the Google Sheet, you might see some projects.
152 00:15:13.690 ⇒ 00:15:16.419 Awaish Kumar: That understood, and we want to deliver that.
153 00:15:16.570 ⇒ 00:15:18.010 Awaish Kumar: Right? But…
154 00:15:18.610 ⇒ 00:15:24.889 Awaish Kumar: We can get other things, like, there might be a exist… like, we have to maintain existing platform as well.
155 00:15:25.100 ⇒ 00:15:25.550 Jasmin Multani: Okay.
156 00:15:25.550 ⇒ 00:15:29.530 Awaish Kumar: That is not carved out as a separate project. That is just…
157 00:15:30.400 ⇒ 00:15:31.880 Awaish Kumar: Internally, we have to do that.
158 00:15:32.400 ⇒ 00:15:33.240 Jasmin Multani: Okay, okay.
159 00:15:33.340 ⇒ 00:15:51.279 Jasmin Multani: Yeah, I think, Amber’s feedback was also, like, so much of the asks this past week was ad hoc, and, it was really hard to figure out, like, okay, to prioritize. So I think that’s what… I’m hoping that’s what we can start doing. It’s like, which
160 00:15:51.650 ⇒ 00:15:58.639 Jasmin Multani: items are we delivering that is part of, like, a bigger work stream? And which, asks came
161 00:15:58.740 ⇒ 00:16:06.740 Jasmin Multani: from the executives, like, day of, and that we need to do, like, a 30-minute sprint on. I think that’s gonna help people size out, like.
162 00:16:07.060 ⇒ 00:16:07.650 Awaish Kumar: Oh, nothing.
163 00:16:07.650 ⇒ 00:16:10.070 Jasmin Multani: When to respond and, like, when to drop things.
164 00:16:28.480 ⇒ 00:16:30.480 Jasmin Multani: Take this as a 24-hour emergency.
165 00:16:31.710 ⇒ 00:16:32.530 Jasmin Multani: Cool.
166 00:16:39.780 ⇒ 00:16:40.910 Awaish Kumar: Unbelievable.
167 00:16:42.790 ⇒ 00:16:48.830 Jasmin Multani: So I’m gonna start going down. We have 15 minutes left. I’m gonna go down this team dependency list.
168 00:16:48.950 ⇒ 00:16:57.060 Jasmin Multani: With starting from Greg, your core work is strategy.
169 00:16:58.320 ⇒ 00:17:03.420 Jasmin Multani: As written here, it’s strategy. Is there anything else that you want to call out?
170 00:17:04.150 ⇒ 00:17:14.720 Greg Stoutenburg: Real quick, it was a 48-hour SLA. I just wanted to… I had to go back to check, because I was the one who promised them. I was like, what did I say? Okay, so I think what I want to call out is, for strategy.
171 00:17:14.720 ⇒ 00:17:15.510 Awaish Kumar: True.
172 00:17:16.470 ⇒ 00:17:17.820 Greg Stoutenburg: Yeah, go ahead, Wage.
173 00:17:18.500 ⇒ 00:17:23.290 Awaish Kumar: Yeah, sorry, actually, Robert, said yesterday that
174 00:17:23.390 ⇒ 00:17:28.240 Awaish Kumar: For urgent requests, like, directly from… which are coming from directly from ELT,
175 00:17:28.410 ⇒ 00:17:34.619 Awaish Kumar: To fix existing dashboard, that is 24-hour, but to build a new feature, it is 48-hour.
176 00:17:34.960 ⇒ 00:17:36.390 Greg Stoutenburg: Okay. Alright.
177 00:17:38.290 ⇒ 00:17:44.870 Jasmin Multani: Okay, so, thank you guys. 48-hour…
178 00:17:45.040 ⇒ 00:17:49.739 Jasmin Multani: escalation from PLT equals 4 hours.
179 00:17:49.850 ⇒ 00:17:54.140 Jasmin Multani: To build new features, it was funny.
180 00:17:54.930 ⇒ 00:18:01.509 Jasmin Multani: Sorry, guys, this is why I love documenting, and I hate when I’m on cursor. So, this is how I am.
181 00:18:02.100 ⇒ 00:18:04.529 Jasmin Multani: Okay, cool, thank you guys.
182 00:18:05.010 ⇒ 00:18:09.470 Jasmin Multani: again, going down the list, Greg, is this the only…
183 00:18:10.040 ⇒ 00:18:12.869 Jasmin Multani: Deliverable that you think is here.
184 00:18:13.300 ⇒ 00:18:18.789 Greg Stoutenburg: Yeah, so, so that’s what, that’s what ELT agreed to,
185 00:18:19.270 ⇒ 00:18:24.750 Greg Stoutenburg: like, a week ago, for me to do. Within…
186 00:18:25.350 ⇒ 00:18:35.600 Greg Stoutenburg: two days, I think, the CEO had gone in and started making all sorts of changes to what’s in Mixpanel, and all sorts of reporting-related stuff, and so…
187 00:18:35.600 ⇒ 00:18:46.190 Greg Stoutenburg: My priority right now is to be able to… to be able to execute that work stream. I’ve got a bunch of product analytics work to do first. The…
188 00:18:46.190 ⇒ 00:18:56.860 Greg Stoutenburg: First thing being to… Make sure that instrumentation for Eden OS Tracking is, is complete.
189 00:18:57.070 ⇒ 00:19:03.909 Greg Stoutenburg: and sort of PM the engineers getting the tracking plan that I’ve created set up.
190 00:19:04.660 ⇒ 00:19:14.840 Greg Stoutenburg: And then, secondly, to resolve this issue of duplicate user identities in Mixpanel. So, those are some things that are very high priority right now.
191 00:19:15.240 ⇒ 00:19:18.970 Greg Stoutenburg: On the second one, I’m working with Zoran and Adam on that this week.
192 00:19:20.140 ⇒ 00:19:20.690 Jasmin Multani: Okay.
193 00:19:23.230 ⇒ 00:19:23.970 Jasmin Multani: Alright.
194 00:19:24.390 ⇒ 00:19:31.439 Jasmin Multani: Is there… and let’s go down the list, like, is there… what do you need from me, Awash, and Zoran to unblock you?
195 00:19:32.030 ⇒ 00:19:39.680 Greg Stoutenburg: I think, I’ll go in reverse order. From Zoran, Zoron knows the data flow.
196 00:19:40.530 ⇒ 00:19:48.220 Greg Stoutenburg: across all of Eden’s systems, just much better than I do. So… I’ll be leaning on him
197 00:19:48.550 ⇒ 00:19:51.599 Greg Stoutenburg: pretty heavily for the mixed panel identity stuff.
198 00:19:51.930 ⇒ 00:20:02.410 Greg Stoutenburg: where we… where he and I agreed that the handoff is, is that he needs to get everything relevant to identifying users into segment.
199 00:20:02.410 ⇒ 00:20:13.399 Greg Stoutenburg: And then the handoff from Segment into Mixpanel, that’s on me. But even so, I’ll still need to rely on them for knowledge, and understanding what those pieces are that are in Segment, and getting them into Mixpanel.
200 00:20:14.110 ⇒ 00:20:18.249 Greg Stoutenburg: So, that’s what I need for him.
201 00:20:19.220 ⇒ 00:20:24.699 Greg Stoutenburg: And then sort of more broadly, you know, as I’m coming up with, like, experiments for…
202 00:20:24.960 ⇒ 00:20:31.310 Greg Stoutenburg: marketing to run, I’d likely need to lean on him for technical support.
203 00:20:32.210 ⇒ 00:20:32.990 Jasmin Multani: Brazil.
204 00:20:33.690 ⇒ 00:20:34.759 Greg Stoutenburg: Yeah, yeah, for Zora.
205 00:20:39.440 ⇒ 00:20:40.070 Awaish Kumar: Oh, honeymoon.
206 00:20:40.290 ⇒ 00:20:40.810 Jasmin Multani: marketing.
207 00:20:40.810 ⇒ 00:20:43.740 Awaish Kumar: You’re gonna call it Maritek support, yeah.
208 00:20:45.080 ⇒ 00:20:45.780 Greg Stoutenburg: Yeah.
209 00:20:47.410 ⇒ 00:20:48.210 Greg Stoutenburg: Yeah.
210 00:20:52.320 ⇒ 00:20:53.550 Jasmin Multani: MarTech support, cool.
211 00:20:53.550 ⇒ 00:20:57.519 Greg Stoutenburg: Yeah, sounds good. And then, from Awash,
212 00:20:57.880 ⇒ 00:21:02.420 Greg Stoutenburg: he’s doing work on Eden OS. My work on Eden OS is really just limited to
213 00:21:02.530 ⇒ 00:21:13.820 Greg Stoutenburg: analyzing the intake flow, and making sure that we can measure the impact of experiments that we do on performance through the intake flow to purchase. So…
214 00:21:14.160 ⇒ 00:21:15.590 Greg Stoutenburg: I, I mean, I just…
215 00:21:15.750 ⇒ 00:21:24.909 Greg Stoutenburg: I’m not sure what those overlaps are going to be yet, but because he’s also working on Eden OS telemetry, that’s just somewhere where I see some overlap, so…
216 00:21:27.830 ⇒ 00:21:28.720 Jasmin Multani: No.
217 00:21:29.510 ⇒ 00:21:40.100 Jasmin Multani: Yeah, together, okay. Yeah. Need to cry. We need to, cool, thank you. Yeah.
218 00:21:40.500 ⇒ 00:21:41.840 Jasmin Multani: And…
219 00:21:41.840 ⇒ 00:21:48.730 Greg Stoutenburg: Yep, and then from you, I think, like, things like doc review for quality and completeness,
220 00:21:49.540 ⇒ 00:21:52.520 Greg Stoutenburg: I’ll probably need some help testing.
221 00:21:52.750 ⇒ 00:21:55.730 Greg Stoutenburg: like, some of the Some of the,
222 00:21:56.170 ⇒ 00:21:58.760 Greg Stoutenburg: what am I trying to say? Some of the event instrumentation.
223 00:21:59.060 ⇒ 00:22:00.880 Greg Stoutenburg: I could probably use help.
224 00:22:01.350 ⇒ 00:22:05.790 Greg Stoutenburg: You know, making sure that things fire when they’re supposed to, and don’t fire when they’re not.
225 00:22:06.060 ⇒ 00:22:08.720 Greg Stoutenburg: And I think…
226 00:22:09.140 ⇒ 00:22:16.550 Greg Stoutenburg: just, like, yeah, event instrumentation and the identity stuff that I’m gonna do now. So that’ll mean things like,
227 00:22:16.750 ⇒ 00:22:21.230 Greg Stoutenburg: you… You know, go incognito mode and go to.
228 00:22:21.230 ⇒ 00:22:22.590 Jasmin Multani: Yeah. An intake.
229 00:22:22.590 ⇒ 00:22:24.290 Greg Stoutenburg: You know, and then, like, later on.
230 00:22:24.410 ⇒ 00:22:32.550 Greg Stoutenburg: get further enough in the purchase funnel that it should reconcile the users and, like, making sure that the site is actually successful. And then finally, just, like, keeping the project moving forward.
231 00:22:33.120 ⇒ 00:22:34.040 Jasmin Multani: Okay, cool.
232 00:22:35.130 ⇒ 00:22:43.149 Jasmin Multani: And eventually, also, like, what are… what is… okay.
233 00:22:43.530 ⇒ 00:22:45.499 Jasmin Multani: I’m gonna pause, I’m gonna move on.
234 00:22:47.940 ⇒ 00:22:58.350 Jasmin Multani: I also just don’t know what I’m supposed to expect, because I’m also being like, I think I’m QA-ing and doing business, intelligence stuff,
235 00:22:59.450 ⇒ 00:23:03.369 Jasmin Multani: But I also, like, don’t know what the standard is right now.
236 00:23:03.860 ⇒ 00:23:07.940 Jasmin Multani: So, implement repeatable QA lists, discrepancy workflow.
237 00:23:08.650 ⇒ 00:23:15.200 Jasmin Multani: Okay, so I think what I really need from Greg, and let me know if you’re the right person or not.
238 00:23:15.330 ⇒ 00:23:27.749 Jasmin Multani: Like, getting… Knowing, knowing which dashboards are… actively being used.
239 00:23:28.280 ⇒ 00:23:38.360 Jasmin Multani: Because when I go into the folder for Eden, I’m like, there are so many dashboards, I don’t really know what’s archived, I don’t know what’s really in flux, in progress, and so forth.
240 00:23:38.360 ⇒ 00:23:38.950 Greg Stoutenburg: Omni.
241 00:23:39.630 ⇒ 00:23:42.640 Jasmin Multani: Yeah, yeah, yeah. And also the spreadsheets.
242 00:23:43.480 ⇒ 00:23:47.990 Jasmin Multani: Like, what is there, and, like, which spreadsheets?
243 00:23:49.940 ⇒ 00:23:51.219 Awaish Kumar: to be a…
244 00:23:53.100 ⇒ 00:23:55.840 Jasmin Multani: Can you use which spreadsheets?
245 00:23:56.580 ⇒ 00:24:04.320 Jasmin Multani: Are… are these dashboards, female, too, for accuracy.
246 00:24:05.230 ⇒ 00:24:15.759 Greg Stoutenburg: Yeah, I’m really not in their spreadsheet reporting for Eden. Like, ever since we’ve come into Omni, any reporting I’ve been involved in is just in Omni, and… yeah.
247 00:24:16.400 ⇒ 00:24:24.350 Greg Stoutenburg: So I can help with, like, going through the dashboards and going, like, you know, this is what this is for, this is what’s being used.
248 00:24:24.510 ⇒ 00:24:28.879 Greg Stoutenburg: As far as, like, spreadsheet reporting, I’m not in the loop on that.
249 00:24:29.820 ⇒ 00:24:35.160 Jasmin Multani: Cool. Awish, do you know who I could ask for the spreadsheet stuff? Is it… would it just be Amber?
250 00:24:36.010 ⇒ 00:24:42.230 Awaish Kumar: Are you… like, are you talking about data platform documentation as a whole, or just the…
251 00:24:42.810 ⇒ 00:24:46.740 Awaish Kumar: Control center, like, the center reporting, that… command center reporting.
252 00:24:47.660 ⇒ 00:24:57.419 Jasmin Multani: I guess it is the command center reporting. Basically, whenever we’re QAing, if I want to QA the integrity of the data values for each dashboard.
253 00:24:57.420 ⇒ 00:24:58.090 Awaish Kumar: Ford?
254 00:25:00.190 ⇒ 00:25:03.150 Awaish Kumar: So we just have one, or two tool sheets.
255 00:25:03.390 ⇒ 00:25:09.039 Awaish Kumar: you have to monitor that. For the commands… I don’t know, it’s command center or control center?
256 00:25:09.170 ⇒ 00:25:17.359 Awaish Kumar: But these are only two sheets there. One is for daily, and one is for weekly values, and
257 00:25:18.140 ⇒ 00:25:23.249 Awaish Kumar: That is, if you need a context, you can get it from,
258 00:25:23.480 ⇒ 00:25:26.289 Awaish Kumar: Robert, because he’s the one who built it.
259 00:25:26.610 ⇒ 00:25:28.409 Awaish Kumar: And, if you need any
260 00:25:28.980 ⇒ 00:25:31.940 Awaish Kumar: Support for the modeling? You’re gonna ask me.
261 00:25:32.650 ⇒ 00:25:35.199 Jasmin Multani: Very cool. Because I’m also trying to understand, like.
262 00:25:35.640 ⇒ 00:25:45.010 Jasmin Multani: the… the… it looks like, there’s, like, a drop-off between, BAS to BASC API as well.
263 00:25:45.010 ⇒ 00:25:56.710 Jasmin Multani: But I’m gonna work with Amber more on that to figure out how we can validate the data across these different sources of truth that Eden is leading on.
264 00:25:57.540 ⇒ 00:26:00.599 Awaish Kumar: What do you mean by Basque? Basque?
265 00:26:01.720 ⇒ 00:26:10.840 Jasmin Multani: So, she was flagged… she was flagging that, when BASC sends information over to BASC API, there’s…
266 00:26:10.840 ⇒ 00:26:11.510 Awaish Kumar: Honestly?
267 00:26:12.060 ⇒ 00:26:19.940 Awaish Kumar: I don’t think so, she was actually talking about that specific sheet. Maybe she received some information from finance.
268 00:26:20.120 ⇒ 00:26:24.579 Awaish Kumar: That our numbers are not matching to their, finance.
269 00:26:24.890 ⇒ 00:26:28.910 Awaish Kumar: dashboard or BASC platform itself, right?
270 00:26:29.680 ⇒ 00:26:32.829 Awaish Kumar: That’s what she was flagging. It was not that…
271 00:26:33.510 ⇒ 00:26:36.450 Awaish Kumar: specific sheet issue. It was more like,
272 00:26:37.100 ⇒ 00:26:45.010 Awaish Kumar: in the Basque platform, the number you see, you might not see the same numbers in Sheet, spreadsheet, but also you can’t see that in Omni.
273 00:26:45.190 ⇒ 00:26:55.950 Awaish Kumar: So it’s both. Spreadsheet and Omni both depend on the data which is ingested, through Basque APIs or webhooks.
274 00:26:57.190 ⇒ 00:27:02.529 Awaish Kumar: And that does not exactly match with Basque UI.
275 00:27:04.020 ⇒ 00:27:18.859 Jasmin Multani: Yeah, yeah. And, Amber had a good call-out, where she was like, she doesn’t want to use the word Omni to make it sound like Omni is the problem. She, even in her comments, she’s gonna call out Bask API instead of Omni.
276 00:27:18.860 ⇒ 00:27:19.500 Awaish Kumar: You’re on.
277 00:27:19.990 ⇒ 00:27:21.790 Jasmin Multani: So… yeah.
278 00:27:21.790 ⇒ 00:27:28.509 Awaish Kumar: Yeah, yeah, what I’m saying, the numbers you see in Omni and the spreadsheet will align, but the issue is obviously the BASC API.
279 00:27:28.690 ⇒ 00:27:40.780 Jasmin Multani: Yes, yes, yes, yes. I don’t know if, Amber asked you this, but, there was a point where Demi… DemiLottie was asking the Basque API
280 00:27:41.090 ⇒ 00:27:51.319 Jasmin Multani: if they’ve made any changes to the API for two weeks. I think we’re gonna have to kick that up again, but I’ll, I’ll, I’ll write a ticket for that, so you can track it.
281 00:27:52.700 ⇒ 00:27:53.400 Awaish Kumar: Okay.
282 00:27:53.950 ⇒ 00:28:01.569 Jasmin Multani: Cool, cool, cool. Alright, thanks. We have 2 minutes. I’m willing to stay over. If other people need a drop, that’s fine, but I wouldn’t…
283 00:28:01.680 ⇒ 00:28:05.959 Greg Stoutenburg: I’ll need to hop for one, actually, and I want to take Garrett with me, so maybe we can…
284 00:28:06.120 ⇒ 00:28:08.580 Greg Stoutenburg: Okay. Maybe we can just push, yeah.
285 00:28:09.850 ⇒ 00:28:18.450 Jasmin Multani: Okay, cool, cool, cool. Awash, I’m gonna ask you, what are the… what… across each of these work streams, these four…
286 00:28:18.450 ⇒ 00:28:26.899 Awaish Kumar: across… like, I… my work comes as a… Downstream, if we talk about…
287 00:28:27.100 ⇒ 00:28:27.550 Jasmin Multani: Yep.
288 00:28:27.550 ⇒ 00:28:36.379 Awaish Kumar: the flow from technology, like, the data… how data ingested and moved up, and then if… if we talk about the…
289 00:28:36.580 ⇒ 00:28:39.510 Awaish Kumar: client, then it is… I’m, like, kind of,
290 00:28:41.110 ⇒ 00:28:48.310 Awaish Kumar: You are upstream for me, for that part, and what I need from you all is requirements for the ingestion modeling.
291 00:28:48.800 ⇒ 00:28:49.790 Awaish Kumar: So…
292 00:28:50.390 ⇒ 00:29:00.809 Awaish Kumar: That’s all. And, yeah, if it is written in a, like, a killer format, if it is a modeling requirement, then I would need more information of
293 00:29:00.910 ⇒ 00:29:06.360 Awaish Kumar: Regarding the purpose and the… What you are expecting as a deliverable?
294 00:29:07.480 ⇒ 00:29:08.459 Awaish Kumar: And that’s all.
295 00:29:12.580 ⇒ 00:29:18.080 Jasmin Multani: So what, when you say expecting as a deliverable, it’s always going to be a table, right?
296 00:29:19.200 ⇒ 00:29:25.270 Awaish Kumar: Yeah, like, what data, what metrics, what,
297 00:29:25.790 ⇒ 00:29:34.040 Awaish Kumar: But the shape of the table, like, sometimes it’s clear, right? You need a few fields, I can bring that in, but then sometimes it’s different logic.
298 00:29:34.690 ⇒ 00:29:40.800 Awaish Kumar: Based on what you… what charts you want to create in the Omni.
299 00:29:41.100 ⇒ 00:29:43.030 Awaish Kumar: And that table needs to be in a…
300 00:29:43.280 ⇒ 00:29:53.309 Awaish Kumar: in that format, so that you can create a chart. So if you have, like, special requirements for… for table format, like, the schema of the table.
301 00:29:53.820 ⇒ 00:29:55.060 Greg Stoutenburg: Alright, gonna drop.
302 00:29:55.510 ⇒ 00:29:56.300 Jasmin Multani: Okay, alright.
303 00:29:56.300 ⇒ 00:29:58.739 Greg Stoutenburg: We’ll catch up after if we need to, okay? Thanks. Thanks for this.
304 00:29:58.740 ⇒ 00:29:59.410 Garrett Gibson: Cheers.
305 00:30:01.830 ⇒ 00:30:05.160 Awaish Kumar: So, it is… yeah, one example is, like,
306 00:30:05.730 ⇒ 00:30:09.530 Awaish Kumar: In Eden, we have a table which can give you data on a…
307 00:30:09.980 ⇒ 00:30:13.939 Awaish Kumar: For, like, cohorts, when we are trying to create cohort charts.
308 00:30:14.100 ⇒ 00:30:16.770 Awaish Kumar: So for each cohort, you might have to figure out
309 00:30:17.690 ⇒ 00:30:23.969 Awaish Kumar: So the thing is, they needed a column, a product name, but it is not a product name for each,
310 00:30:24.770 ⇒ 00:30:28.030 Awaish Kumar: All the product names that were purchased, it was more like the…
311 00:30:28.150 ⇒ 00:30:30.629 Awaish Kumar: The product that was purchased in the first order.
312 00:30:30.900 ⇒ 00:30:37.490 Awaish Kumar: And then it needs rows for same date and product. Same cohort and product, you need more rows, like,
313 00:30:37.930 ⇒ 00:30:44.680 Awaish Kumar: Month since first order, like… And how… how many purchases were made by those customers?
314 00:30:44.810 ⇒ 00:30:49.099 Awaish Kumar: 2 months after the first purchase, 3 months after the first purchase.
315 00:30:49.210 ⇒ 00:30:51.909 Awaish Kumar: you need all these rows. If you need, you know.
316 00:30:52.450 ⇒ 00:31:01.949 Awaish Kumar: like, pivot table, or more, like, a descriptive table, like, things like that. So I need all this information beforehand, so I can model it accordingly.
317 00:31:04.000 ⇒ 00:31:08.399 Jasmin Multani: Pivot versus, description.
318 00:31:09.660 ⇒ 00:31:11.180 Jasmin Multani: Okay, okay.
319 00:31:11.760 ⇒ 00:31:15.659 Jasmin Multani: Alright, cool, cool, cool, this helps. And you need this from each of us, like…
320 00:31:16.100 ⇒ 00:31:18.720 Jasmin Multani: What do you usually need from Greg and Zoran?
321 00:31:19.740 ⇒ 00:31:22.719 Awaish Kumar: Mmm… from Jagan Jones?
322 00:31:22.960 ⇒ 00:31:27.109 Awaish Kumar: All the modeling support, like, add a new turbo table, or…
323 00:31:27.580 ⇒ 00:31:30.089 Awaish Kumar: Update the table to add more fields.
324 00:31:34.470 ⇒ 00:31:39.569 Awaish Kumar: Yeah, like, or help debug the… issues if…
325 00:31:41.020 ⇒ 00:31:46.939 Awaish Kumar: if their table has… doesn’t have the data they’re expecting, I can look in the…
326 00:31:47.350 ⇒ 00:31:53.379 Awaish Kumar: source systems and figure out if… whatever the issue is. So, debugging models.
327 00:31:54.590 ⇒ 00:32:01.690 Awaish Kumar: updating models, creating new models, three things, and the… for the Zoran, one more thing is,
328 00:32:03.680 ⇒ 00:32:05.270 Awaish Kumar: We were detailing.
329 00:32:06.370 ⇒ 00:32:07.400 Jasmin Multani: Reverse what?
330 00:32:08.150 ⇒ 00:32:11.559 Awaish Kumar: Reverse ETL, like, creating reverse ETL pipelines.
331 00:32:11.800 ⇒ 00:32:13.289 Jasmin Multani: Okay, okay, okay.
332 00:32:13.290 ⇒ 00:32:13.960 Awaish Kumar: Right.
333 00:32:16.280 ⇒ 00:32:17.040 Awaish Kumar: Yeah.
334 00:32:17.940 ⇒ 00:32:24.770 Awaish Kumar: And also, for all of you three, you can add ETL pipelines, because you might request data from
335 00:32:25.030 ⇒ 00:32:28.549 Awaish Kumar: new sources, so I have to write an ETL pipeline as well.
336 00:32:28.940 ⇒ 00:32:39.059 Awaish Kumar: And that can come from any of you, because, I don’t know. Greg just asked me to bring data from Calendly, so I had to write a pipeline to bring that data in.
337 00:32:39.710 ⇒ 00:32:43.140 Jasmin Multani: Okay, cool. I’m definitely gonna need that for…
338 00:32:43.890 ⇒ 00:32:50.499 Jasmin Multani: Okay, actually, I’m not gonna say that. That’s… that’s a different client. Okay, cool. This is helpful.
339 00:32:50.500 ⇒ 00:32:53.040 Awaish Kumar: Yeah, basically that requirement is on me
340 00:32:53.160 ⇒ 00:32:55.970 Awaish Kumar: It doesn’t matter what the client is.
341 00:32:56.480 ⇒ 00:32:57.560 Jasmin Multani: Okay, cool.
342 00:32:58.180 ⇒ 00:33:02.120 Jasmin Multani: I’m… okay, so elements, supply chain…
343 00:33:02.230 ⇒ 00:33:05.949 Jasmin Multani: Work is going to be really hefty, really intense, because they’re…
344 00:33:06.070 ⇒ 00:33:11.489 Jasmin Multani: So many people… it’s, like, 4 or 5 different stakeholders, and they’re each sourcing data from different.
345 00:33:11.490 ⇒ 00:33:14.990 Awaish Kumar: So, yeah, I started yesterday that,
346 00:33:15.240 ⇒ 00:33:18.519 Awaish Kumar: a thread regarding that, so I need clear requirements.
347 00:33:18.720 ⇒ 00:33:22.089 Awaish Kumar: From you, for the supply chain, we have data already in
348 00:33:22.200 ⇒ 00:33:33.569 Awaish Kumar: We are using stored, where to go, we have some data for retail, also, like, from Geodes. Like, different, like, at least from three sources, I have some data.
349 00:33:33.740 ⇒ 00:33:39.349 Awaish Kumar: So, in the discovery sessions, what I need… Is, that you cover
350 00:33:39.600 ⇒ 00:33:41.880 Awaish Kumar: What data sources they bring the data from.
351 00:33:42.150 ⇒ 00:33:59.190 Jasmin Multani: Yeah, yeah. So that’s a direct ask, and we’re getting… we’ve already, like, shipped out a sheet to the stakeholders, and we’ve asked them, like, put in every manual report that you have, and cite the sources.
352 00:33:59.280 ⇒ 00:34:11.690 Jasmin Multani: I just want to know a timeline, because Shivani told them, like, oh, you know, as the next month goes on, add as you feel free, but I want to know what the earth, like, how… once you get
353 00:34:12.780 ⇒ 00:34:15.179 Jasmin Multani: That… that… those reports.
354 00:34:15.590 ⇒ 00:34:17.830 Jasmin Multani: Like, what’s the timeline?
355 00:34:20.239 ⇒ 00:34:25.269 Awaish Kumar: Yeah, once I get the list of sources, although they might send 12
356 00:34:25.479 ⇒ 00:34:29.049 Awaish Kumar: spreadsheets, but I need to know what data
357 00:34:29.909 ⇒ 00:34:34.379 Awaish Kumar: the data is in those spreadsheets, where that is coming from? Is it coming from…
358 00:34:35.439 ⇒ 00:34:47.469 Awaish Kumar: Shopify? Is it coming from stored? So, if I get the list of data sources, I can verify what we have already ingested, and what needs to be ingested.
359 00:34:47.830 ⇒ 00:34:48.830 Jasmin Multani: Okay, cool, cool, cool.
360 00:34:48.830 ⇒ 00:34:49.520 Awaish Kumar: One thing?
361 00:34:49.520 ⇒ 00:34:50.350 Jasmin Multani: Yeah?
362 00:34:50.350 ⇒ 00:34:57.989 Awaish Kumar: Second thing is modeling, right? We have already created the base models, but then base models are, like.
363 00:34:58.180 ⇒ 00:35:01.339 Awaish Kumar: DM and fact tables regarding whatever is in there.
364 00:35:01.620 ⇒ 00:35:07.669 Awaish Kumar: But then there needs to be some models that are… Aligned with your dashboard requirements.
365 00:35:07.850 ⇒ 00:35:18.930 Awaish Kumar: So, if you come up with, okay, for a supply chain, I want to create this dashboard, and to support that dashboard, I will need… I will need a table like this.
366 00:35:19.800 ⇒ 00:35:20.370 Jasmin Multani: Okay.
367 00:35:20.370 ⇒ 00:35:26.059 Awaish Kumar: Hand it over to me, and then it’s my… Job is to basically
368 00:35:27.260 ⇒ 00:35:31.280 Awaish Kumar: Bring, like, create the table, Whatever ways.
369 00:35:32.090 ⇒ 00:35:33.630 Awaish Kumar: Yeah.
370 00:35:34.130 ⇒ 00:35:36.800 Awaish Kumar: And then timeline, it depends on…
371 00:35:37.170 ⇒ 00:35:39.320 Awaish Kumar: On the ticket, right? If you hand over
372 00:35:40.610 ⇒ 00:35:46.660 Awaish Kumar: when you hand over the ticket, then I can tell you the timeline based on requirements.
373 00:35:46.880 ⇒ 00:35:54.890 Jasmin Multani: Okay, cool, cool, cool. So, she wants to launch these dashboards in June, and… there’s that…
374 00:35:54.890 ⇒ 00:35:56.400 Awaish Kumar: Yeah, right.
375 00:35:56.400 ⇒ 00:35:57.840 Jasmin Multani: Yeah, so I’m gonna…
376 00:35:57.840 ⇒ 00:36:07.920 Awaish Kumar: If there is, yeah, if there is no blocker on the sources, we, like, for example, if they now request a new source, then we might have to…
377 00:36:08.470 ⇒ 00:36:12.599 Awaish Kumar: depend on polyatomic as well. So, like, there are different layers.
378 00:36:12.600 ⇒ 00:36:13.000 Jasmin Multani: Yeah.
379 00:36:13.000 ⇒ 00:36:15.379 Awaish Kumar: we have injection, then we have…
380 00:36:15.740 ⇒ 00:36:26.840 Awaish Kumar: modeling in the ingestion, like, normally I’m responsible for ingesting in the warehouse, but sometimes we ask Polytomic to create connectors for that.
381 00:36:27.250 ⇒ 00:36:31.960 Awaish Kumar: So now, when we have a list of sources, there may be…
382 00:36:32.150 ⇒ 00:36:35.940 Awaish Kumar: Some sources that we already have data for, and there might be some sources.
383 00:36:36.220 ⇒ 00:36:43.660 Awaish Kumar: For that, we might have to request the connecting. If we have to do that, then it might take longer for that source.
384 00:36:44.200 ⇒ 00:36:57.120 Awaish Kumar: Second thing, if it is just the requirements for modeling and for the existing sources, then I think it’s really, like, in a one week’s time, I can help you build maybe two, three models.
385 00:36:57.490 ⇒ 00:37:00.810 Awaish Kumar: That you can create at least one dashboard out of that.
386 00:37:01.330 ⇒ 00:37:05.609 Jasmin Multani: Okay, cool, cool, cool. This is really…
387 00:37:06.050 ⇒ 00:37:11.200 Jasmin Multani: helpful. I’m gonna urge her to, like, ramp up the speed.
388 00:37:11.650 ⇒ 00:37:16.619 Jasmin Multani: So that those stakeholders give us all the reports within 2 weeks.
389 00:37:16.890 ⇒ 00:37:24.150 Jasmin Multani: So that in May, we can, like, finalize specs and, like, figure out, you know.
390 00:37:24.420 ⇒ 00:37:32.620 Jasmin Multani: do we need… if there are 10 reports, do we need to make 10 dashboards? Like, what is the amount? But okay. Alright, this is helpful.
391 00:37:32.780 ⇒ 00:37:36.820 Jasmin Multani: And just one question. I’m mainly working with you on
392 00:37:37.910 ⇒ 00:37:43.960 Jasmin Multani: data ingestion, anomization, and EOS platform, right?
393 00:37:46.800 ⇒ 00:37:57.110 Awaish Kumar: Yeah… As I mentioned, my work stream is kind of… Spread all across… Everett?
394 00:37:57.680 ⇒ 00:37:58.710 Awaish Kumar: Everything.
395 00:37:58.900 ⇒ 00:38:07.310 Awaish Kumar: So, Eden OS… Ehc and… and the data analy… ingestion and analyzation.
396 00:38:07.460 ⇒ 00:38:09.999 Awaish Kumar: Is something, that’s clear?
397 00:38:10.800 ⇒ 00:38:16.760 Awaish Kumar: But, like, as I mentioned, for marketing, Zorano can ask me for the right reverse ETL pipeline.
398 00:38:17.730 ⇒ 00:38:18.580 Awaish Kumar: But…
399 00:38:18.700 ⇒ 00:38:29.999 Awaish Kumar: That’s not there, right? The individual tasks are not there. But it sits in the marketing, so Zoran is the lead. He’s going to direct if he needs the reverse ETL pipeline or not.
400 00:38:30.710 ⇒ 00:38:32.580 Awaish Kumar: But that task might come to me.
401 00:38:34.930 ⇒ 00:38:35.790 Jasmin Multani: Okay.
402 00:38:36.420 ⇒ 00:38:48.440 Jasmin Multani: Okay, okay, cool, cool, cool. Sounds good. I’m gonna at least, like, fill out… I’m gonna lean on the linear tickets and, cross-track what you have for me, and then get a sense of, like, okay.
403 00:38:48.680 ⇒ 00:38:50.570 Jasmin Multani: What else is, needed?
404 00:38:50.570 ⇒ 00:38:57.730 Awaish Kumar: So, for EOS, for Eden OS, we just have a project dashboarding initiative, sorry, dashboarding project.
405 00:38:57.860 ⇒ 00:38:59.460 Awaish Kumar: That is assigned to you.
406 00:38:59.460 ⇒ 00:39:00.010 Jasmin Multani: Okay.
407 00:39:00.010 ⇒ 00:39:01.190 Awaish Kumar: In that project?
408 00:39:01.300 ⇒ 00:39:06.640 Awaish Kumar: We’re responsible for creating Tickets, basically. Okay, yep.
409 00:39:08.200 ⇒ 00:39:13.890 Awaish Kumar: So, I already created Few models, right, unified models.
410 00:39:14.020 ⇒ 00:39:18.880 Awaish Kumar: That can support the… creating a unified view of dashboards.
411 00:39:21.200 ⇒ 00:39:26.410 Awaish Kumar: But I, like, what is really needed right now is… is…
412 00:39:26.680 ⇒ 00:39:29.849 Awaish Kumar: Creating a dashboard which has data from BASC,
413 00:39:29.960 ⇒ 00:39:35.039 Awaish Kumar: and data from Edenoice. One way is that what I… the approach I’m taking is.
414 00:39:35.280 ⇒ 00:39:45.299 Awaish Kumar: Get the existing model, understand the logic, bring in the data from both, and use the similar logic to create a table that can be used for modeling.
415 00:39:46.180 ⇒ 00:39:49.429 Awaish Kumar: But, like, that’s some kind of a kind of hacky solution.
416 00:39:49.560 ⇒ 00:39:52.880 Awaish Kumar: Other thing is that you come up with your own requirements.
417 00:39:52.990 ⇒ 00:39:59.089 Awaish Kumar: That, okay, I need this dashboard in this way, and I need this table like that.
418 00:39:59.580 ⇒ 00:39:59.920 Jasmin Multani: Okay.
419 00:39:59.920 ⇒ 00:40:03.609 Awaish Kumar: create the table for you. So now, yeah, whatever works for you.
420 00:40:04.080 ⇒ 00:40:09.049 Jasmin Multani: Okay, sounds good. Let me look into this more and ask more questions.
421 00:40:10.130 ⇒ 00:40:15.450 Jasmin Multani: I think, like, I just need to look at the spreadsheets, the two spreadsheets that Robert has.
422 00:40:16.430 ⇒ 00:40:23.120 Awaish Kumar: All the Eden… yeah, so all the Eden was work, is regarding…
423 00:40:23.890 ⇒ 00:40:27.219 Awaish Kumar: the dashboards that we have in Omni right now.
424 00:40:27.470 ⇒ 00:40:28.120 Jasmin Multani: Yeah.
425 00:40:28.300 ⇒ 00:40:34.030 Awaish Kumar: Those dashboards right now are only containing mask data.
426 00:40:34.240 ⇒ 00:40:38.669 Awaish Kumar: Yes. But we need to create copies of those dashboards to bring in.
427 00:40:38.860 ⇒ 00:40:42.730 Awaish Kumar: Bars, pillars, EMOs. The spreadsheets are…
428 00:40:43.410 ⇒ 00:40:46.309 Awaish Kumar: are a separate story, right? These are separate dashboards.
429 00:40:46.310 ⇒ 00:40:50.730 Jasmin Multani: Okay, okay. Alright, that, yeah, that’s really helpful. You’ve been the most helpful in, like.
430 00:40:51.210 ⇒ 00:40:54.670 Jasmin Multani: telling me the nuances. Okay.
431 00:40:54.960 ⇒ 00:41:04.479 Jasmin Multani: then I’ll chat with Amber to see, like, of those dashboards, which ones are, like, the most critical, and, figure out a migration plan there.
432 00:41:04.930 ⇒ 00:41:08.930 Awaish Kumar: Okay, in the spreadsheet, there is a tab called Data
433 00:41:09.090 ⇒ 00:41:13.790 Awaish Kumar: called Dashboards, and it includes the Priorities.
434 00:41:17.420 ⇒ 00:41:18.790 Jasmin Multani: just dashboards?
435 00:41:18.920 ⇒ 00:41:25.689 Jasmin Multani: Oh, okay. So it’s like, eat an executive dashboard, hi… wow, okay, this is really helpful, thank you so much.
436 00:41:25.870 ⇒ 00:41:26.529 Jasmin Multani: I should have asked.
437 00:41:26.890 ⇒ 00:41:27.430 Jasmin Multani: click.
438 00:41:27.590 ⇒ 00:41:28.889 Jasmin Multani: Much earlier.
439 00:41:30.120 ⇒ 00:41:32.769 Awaish Kumar: Okay, there’s a list of, like, 10, 12 dashboards.
440 00:41:32.900 ⇒ 00:41:37.119 Awaish Kumar: There’s a… comment… On the side that…
441 00:41:37.630 ⇒ 00:41:45.600 Awaish Kumar: Yeah. Which one is the priority? And, yeah, so this is… What it looks like.
442 00:41:46.350 ⇒ 00:41:48.910 Jasmin Multani: These are all currently.
443 00:41:48.910 ⇒ 00:41:55.549 Awaish Kumar: Yeah, you can look at the status if it says deprecated, that means we might not need it, but otherwise…
444 00:41:56.690 ⇒ 00:41:57.930 Jasmin Multani: possible to vote.
445 00:41:59.300 ⇒ 00:42:01.739 Awaish Kumar: There’s only one catch here.
446 00:42:01.870 ⇒ 00:42:05.050 Awaish Kumar: These links are for… Pableau, I think?
447 00:42:07.360 ⇒ 00:42:13.730 Awaish Kumar: And we migrated all these views from Tableau to Eden West, so…
448 00:42:14.170 ⇒ 00:42:17.860 Awaish Kumar: Just, like, from the name, you have to figure out what is in.
449 00:42:18.460 ⇒ 00:42:19.670 Awaish Kumar: Eden voice.
450 00:42:20.010 ⇒ 00:42:21.989 Awaish Kumar: Sorry, what is the nominee?
451 00:42:22.240 ⇒ 00:42:27.860 Jasmin Multani: Okay, cool. And then, when it says possible to fully migrate, does that mean the migration…
452 00:42:28.650 ⇒ 00:42:34.370 Awaish Kumar: Yeah, these are comments from me. While this project was ongoing, I had to figure out which
453 00:42:35.890 ⇒ 00:42:42.150 Awaish Kumar: Dashboards we can create, and which dashboards we can’t so…
454 00:42:42.840 ⇒ 00:42:50.110 Jasmin Multani: Is migration… sorry, sorry, I’m just gonna ask, is migration from Tableau to Omni, or… from, like.
455 00:42:50.110 ⇒ 00:42:50.940 Awaish Kumar: Yeah, yeah.
456 00:42:51.440 ⇒ 00:42:56.420 Awaish Kumar: It’s not Tableau to omni migration. This is… Yeah, so, and I…
457 00:42:56.640 ⇒ 00:42:59.950 Awaish Kumar: Everybody gets confused with that.
458 00:43:00.560 ⇒ 00:43:04.840 Awaish Kumar: But the problem… the thing is, the two projects are ongoing.
459 00:43:05.180 ⇒ 00:43:12.020 Awaish Kumar: were ongoing. Like, right now, we don’t have a project for Tableau to omni migration. There was a project
460 00:43:13.280 ⇒ 00:43:18.709 Awaish Kumar: Led by Greg to migrate all the dashboards from Tableau.
461 00:43:19.350 ⇒ 00:43:22.150 Awaish Kumar: to Omni, and that was for…
462 00:43:22.450 ⇒ 00:43:27.870 Awaish Kumar: existing dashboards, and that was only included BASC data.
463 00:43:30.940 ⇒ 00:43:37.180 Awaish Kumar: Right? This is second thing. This is… now I’m… here we are talking about if we can create
464 00:43:37.290 ⇒ 00:43:40.920 Awaish Kumar: same dashboard for new system.
465 00:43:41.970 ⇒ 00:43:45.460 Awaish Kumar: New system means Basque plus Eden West.
466 00:43:45.790 ⇒ 00:43:46.500 Jasmin Multani: Okay.
467 00:43:47.990 ⇒ 00:43:52.750 Jasmin Multani: why… why do they use two data sources? Like, why… I don’t understand why.
468 00:43:52.750 ⇒ 00:43:58.669 Awaish Kumar: They want to… yeah, the migration words comes here, because they are…
469 00:43:58.790 ⇒ 00:44:01.780 Awaish Kumar: Migrating from one platform to another.
470 00:44:02.300 ⇒ 00:44:03.730 Jasmin Multani: From Bass to Eden.
471 00:44:03.730 ⇒ 00:44:09.170 Awaish Kumar: from BAS to Eden OS. Yeah. But that is going to happen iteratively.
472 00:44:10.450 ⇒ 00:44:15.639 Awaish Kumar: So we have to maintain… that’s why we have to maintain both the reporting
473 00:44:15.770 ⇒ 00:44:19.289 Awaish Kumar: For the time being, until everything is migrated.
474 00:44:20.140 ⇒ 00:44:27.720 Jasmin Multani: Okay, so I also am gonna anticipate drops. Like, there are gonna be drops, because, like, right now, even in the product analytics.
475 00:44:28.240 ⇒ 00:44:44.080 Awaish Kumar: Yeah, that’s what I… I… when I say possible to iteratively migrate and not fully migrate, when I say, like, it says no and yes. That means there are drops, right? I can migrate a few charts, because the data matches.
476 00:44:44.190 ⇒ 00:44:46.299 Awaish Kumar: I can’t migrate a few charts because…
477 00:44:47.270 ⇒ 00:44:49.299 Awaish Kumar: We don’t have that data yet.
478 00:44:49.800 ⇒ 00:44:56.290 Jasmin Multani: Yeah, okay, okay, so we’re getting, like, a standard under… the dashboards are also helpful to you, because we get a standard…
479 00:44:56.460 ⇒ 00:45:02.509 Jasmin Multani: Information of, like, what… before these migration drops happen, what was the pre and post?
480 00:45:03.890 ⇒ 00:45:09.360 Awaish Kumar: Yes, that’s why I suggested Amber not to update existing dashboards.
481 00:45:09.530 ⇒ 00:45:26.059 Awaish Kumar: for Eden OS, create the copies of the dashboards, but as a separate, like, the dashboard standalone. So we can continue to support Bask-only dashboards, but also we have dashboards which contain both BASC and Eden data.
482 00:45:27.050 ⇒ 00:45:29.869 Jasmin Multani: Okay, that’s really helpful to know.
483 00:45:30.110 ⇒ 00:45:32.799 Jasmin Multani: Okay, I’ll talk to her.
484 00:45:33.470 ⇒ 00:45:36.830 Jasmin Multani: About how we’re gonna, like, house
485 00:45:37.080 ⇒ 00:45:45.230 Jasmin Multani: how we’re gonna store that information, because I think she was, like, making those copies and putting them as tabs and publishing them.
486 00:45:45.740 ⇒ 00:45:51.180 Jasmin Multani: So, I’ll talk to her about that part as well.
487 00:45:51.180 ⇒ 00:45:55.320 Awaish Kumar: Okay, yeah…
488 00:45:57.070 ⇒ 00:46:05.189 Awaish Kumar: The critical thing is that, like, some data is not there, some… for some tables, the grade might not be the same as Bask.
489 00:46:05.540 ⇒ 00:46:10.900 Awaish Kumar: And that’s why I need… Clay, I made a call because I was…
490 00:46:11.860 ⇒ 00:46:21.260 Awaish Kumar: kind of under pressure to execute this, I had to make a call to basically, okay, create similar model, if… if there is a…
491 00:46:21.780 ⇒ 00:46:31.980 Awaish Kumar: like, non-matching grain, then, okay, gets up to the grain wherever it’s available, and create a unified table that can be used for dashboarding.
492 00:46:32.320 ⇒ 00:46:36.530 Awaish Kumar: And just clearly tell the client that, okay, we are missing the grade.
493 00:46:37.250 ⇒ 00:46:39.439 Awaish Kumar: But now that you are on board.
494 00:46:39.630 ⇒ 00:46:51.780 Awaish Kumar: We can go both ways. We can follow this approach, or you can come up with your own requirements, right, for dashboarding. If you think existing dashboards are not good enough, we can make it better.
495 00:46:52.100 ⇒ 00:46:55.800 Awaish Kumar: Yeah, you can come with your own requirements, and we can build the models accordingly.
496 00:46:56.410 ⇒ 00:47:05.290 Jasmin Multani: Okay, this is helpful. You’ve been really, really helpful. I’ll do an audit of those dashboards, the highest priority dashboards that you showed me, and then be like.
497 00:47:05.710 ⇒ 00:47:14.159 Jasmin Multani: Do new specs need to be created? Yes, no? And then, yeah, okay. I’m just gonna be heads down and think about this some more.
498 00:47:15.440 ⇒ 00:47:16.210 Awaish Kumar: Okay.
499 00:47:16.210 ⇒ 00:47:18.489 Jasmin Multani: Alright, thank you, I’ll let you go.
500 00:47:18.490 ⇒ 00:47:19.860 Awaish Kumar: Thank you. Bye.