Meeting Title: Data Team Planning Session Date: 2025-02-03 Meeting participants: Luke Daque, Nicolas Sucari, Uttam Kumaran, Robert Tseng
WEBVTT
1 00:03:29.560 ⇒ 00:03:30.519 Nicolas Sucari: Hey! With them!
2 00:03:31.050 ⇒ 00:03:31.790 Uttam Kumaran: Hey!
3 00:03:42.260 ⇒ 00:03:45.469 Nicolas Sucari: Do you have lots of engineering work for stack plates?
4 00:03:46.290 ⇒ 00:03:47.540 Nicolas Sucari: How is this going.
5 00:03:47.840 ⇒ 00:03:53.689 Uttam Kumaran: Yeah, there’s a, we’re just we just basically landed all the core data. So there’s a lot of.
6 00:03:54.460 ⇒ 00:03:56.040 Uttam Kumaran: there’s a lot of modeling.
7 00:03:56.760 ⇒ 00:04:00.559 Uttam Kumaran: Okay, so more than enough.
8 00:04:02.390 ⇒ 00:04:07.210 Uttam Kumaran: Basically, I wanna just start to ramp away as well.
9 00:04:09.030 ⇒ 00:04:11.577 Nicolas Sucari: Yeah, yeah, I think.
10 00:04:12.440 ⇒ 00:04:19.340 Nicolas Sucari: Ryan, I think that’s good to have stack bits on pull parts pool parts right now. We don’t have like a lot to do modeling.
11 00:04:19.700 ⇒ 00:04:20.850 Payas Parab (TikTok): So.
12 00:04:21.500 ⇒ 00:04:24.490 Nicolas Sucari: He can spend a lot of time with the stack. Glitz now.
13 00:04:26.180 ⇒ 00:04:29.461 Uttam Kumaran: Yeah, stack quits. I basically want him to spend at least 4 HA day.
14 00:04:31.870 ⇒ 00:04:32.679 Payas Parab (TikTok): What up, boys!
15 00:04:33.460 ⇒ 00:04:34.809 Nicolas Sucari: Hey! Everybody else.
16 00:04:34.810 ⇒ 00:04:39.270 Payas Parab (TikTok): I’m off camera. I’m stuck in traffic. I’m almost. I’m on my way somewhere.
17 00:04:39.270 ⇒ 00:04:40.349 Uttam Kumaran: You’re good, you’re good.
18 00:04:51.980 ⇒ 00:04:52.600 Luke Daque: The one.
19 00:04:54.100 ⇒ 00:04:55.960 Payas Parab (TikTok): Unless you guys won’t enjoy the view.
20 00:04:57.990 ⇒ 00:04:58.870 Uttam Kumaran: Don’t redirect.
21 00:04:58.870 ⇒ 00:05:00.600 Nicolas Sucari: Don’t! Don’t crash! Yeah.
22 00:05:00.600 ⇒ 00:05:03.409 Payas Parab (TikTok): Yeah, I’m gonna I’m gonna start it off. I’m just kidding. I’m in traffic.
23 00:05:05.730 ⇒ 00:05:07.569 Robert Tseng: You driving to the office. Now, bias.
24 00:05:08.310 ⇒ 00:05:16.639 Payas Parab (TikTok): No, I’m actually, this is hilarious. I’m going to fucking campus for my master’s program, so I don’t lose part of the work day. I’m going in the morning.
25 00:05:16.640 ⇒ 00:05:17.090 Robert Tseng: Oh, yeah.
26 00:05:18.000 ⇒ 00:05:18.910 Payas Parab (TikTok): Yeah.
27 00:05:19.090 ⇒ 00:05:19.840 Robert Tseng: For myself.
28 00:05:20.250 ⇒ 00:05:21.034 Payas Parab (TikTok): Master.
29 00:05:33.280 ⇒ 00:05:39.230 Nicolas Sucari: Okay, who’s missing a wish? And for Hannah looping in the other channel.
30 00:05:48.460 ⇒ 00:05:50.620 Uttam Kumaran: Yeah, let’s maybe let’s go ahead on
31 00:05:51.220 ⇒ 00:05:53.910 Uttam Kumaran: on other clients, and we can see if Sauna joins.
32 00:06:11.087 ⇒ 00:06:12.969 Nicolas Sucari: So art helper.
33 00:06:15.120 ⇒ 00:06:21.029 Nicolas Sucari: Okay? So Sahana was working on this one. I don’t know, Robert. If there is, or if there is any other update.
34 00:06:24.533 ⇒ 00:06:30.356 Robert Tseng: No, I think Sahana is supposed to finish the dashboards by the end of the day.
35 00:06:32.750 ⇒ 00:06:38.690 Nicolas Sucari: Okay, let’s go with stab, stabilize Utah, maybe. Let’s look. And you are here.
36 00:06:38.690 ⇒ 00:06:46.089 Uttam Kumaran: Yeah, so let me let me pull it up on my end. So yeah, we have the
37 00:06:46.670 ⇒ 00:06:50.770 Uttam Kumaran: segment to snowflake Hubspot to snowflake. This is done.
38 00:06:52.799 ⇒ 00:06:57.120 Uttam Kumaran: Yeah. So a couple of things, I’m gonna add a few tickets here.
39 00:06:57.682 ⇒ 00:07:04.330 Uttam Kumaran: So segment to snowflake is in process. Right now, we have your user data modeling. And we have the upspot
40 00:07:04.510 ⇒ 00:07:06.089 Uttam Kumaran: data modeling work.
41 00:07:07.186 ⇒ 00:07:13.770 Uttam Kumaran: Ryan, can you take that? We just landed all the hubspot data in
42 00:07:15.650 ⇒ 00:07:18.930 Uttam Kumaran: in Snowflake. We just need to see what
43 00:07:19.170 ⇒ 00:07:24.420 Uttam Kumaran: data we need to pull from there for any of the required metrics.
44 00:07:24.570 ⇒ 00:07:30.870 Uttam Kumaran: This isn’t as high priority as as finishing up stripe, though.
45 00:07:31.050 ⇒ 00:07:35.079 Uttam Kumaran: So I wanna know what’s what else is remaining on stripe as well. But
46 00:07:37.486 ⇒ 00:07:43.070 Uttam Kumaran: I guess maybe let’s start there. What else is remaining on your side for
47 00:07:43.700 ⇒ 00:07:47.237 Uttam Kumaran: the stripe work? Is it just? We have to pair it with the
48 00:07:47.770 ⇒ 00:07:50.009 Uttam Kumaran: with their user data. But apart from that.
49 00:07:50.710 ⇒ 00:07:55.720 Luke Daque: Yeah, I think we should have everything, because I think Mitch did not provide us the
50 00:07:56.210 ⇒ 00:08:07.159 Luke Daque: details yet, for, like the the calculations for some of those fields. But yeah, we we can also create the users table, or like data model. There’s there’s there’s still a lot of
51 00:08:07.300 ⇒ 00:08:12.130 Luke Daque: tables in their Google sheets. Aside from the subscriptions one. So maybe we can
52 00:08:12.340 ⇒ 00:08:17.570 Luke Daque: create the user basic users table which we can yeah.
53 00:08:18.220 ⇒ 00:08:20.560 Luke Daque: join through the subscriptions model as well.
54 00:08:21.430 ⇒ 00:08:27.096 Uttam Kumaran: So this one is, this one is basically I can’t do any of the we’re basically still waiting on postgres.
55 00:08:27.510 ⇒ 00:08:28.819 Uttam Kumaran: the Snowflake.
56 00:08:28.990 ⇒ 00:08:31.849 Uttam Kumaran: This one. We’re blocked on right now.
57 00:08:35.090 ⇒ 00:08:40.619 Uttam Kumaran: we’re waiting on that. The user data modeling. Yeah, I can’t. We can’t work on any of that. Basically until we have that data.
58 00:08:40.870 ⇒ 00:08:43.759 Uttam Kumaran: The 2 things that would be great is to one.
59 00:08:44.270 ⇒ 00:08:52.039 Uttam Kumaran: just push the stripe data, what else we have, and then make that accessible and rail.
60 00:08:52.620 ⇒ 00:08:56.640 Uttam Kumaran: Do you? Do you know, have you done like the full end to end like real setup before.
61 00:08:58.060 ⇒ 00:09:02.129 Luke Daque: Yeah, but I haven’t started any real related stuff in Statwitz yet.
62 00:09:02.930 ⇒ 00:09:07.839 Uttam Kumaran: Okay. So one thing I think we can do is basically the initialization for real
63 00:09:08.120 ⇒ 00:09:12.610 Uttam Kumaran: and loading in the stripe data into there. If you want to take that.
64 00:09:12.970 ⇒ 00:09:14.120 Luke Daque: Okay. Cool.
65 00:09:14.770 ⇒ 00:09:15.270 Luke Daque: Sounds good.
66 00:09:16.610 ⇒ 00:09:19.849 Uttam Kumaran: And then we’re still waiting on some of this other data to land basically
67 00:09:20.080 ⇒ 00:09:25.679 Uttam Kumaran: hubspot data modeling this one. I think we. I’ll we should just work on the requirements for what we need here.
68 00:09:26.540 ⇒ 00:09:28.540 Uttam Kumaran: and then we can get that reviewed.
69 00:09:30.200 ⇒ 00:09:30.780 Luke Daque: Sounds good.
70 00:09:31.750 ⇒ 00:09:35.150 Uttam Kumaran: So I’m not sure when this is gonna be ready.
71 00:09:35.970 ⇒ 00:09:40.380 Uttam Kumaran: But I guess, what do you think about trying to have real all stood up by like Wednesday.
72 00:09:41.290 ⇒ 00:09:42.459 Luke Daque: Yeah, sounds good.
73 00:09:47.010 ⇒ 00:09:50.229 Uttam Kumaran: Okay? Great. And then, yeah, if you end up at a good place with stripe
74 00:09:50.430 ⇒ 00:09:52.979 Uttam Kumaran: for this 1st pass, we can close this out
75 00:09:53.130 ⇒ 00:09:56.760 Uttam Kumaran: and then for future tickets, we can play in like bite size chunks, basically.
76 00:09:57.720 ⇒ 00:09:58.300 Luke Daque: Cool.
77 00:10:02.750 ⇒ 00:10:05.840 Uttam Kumaran: Okay, cool. I think that’s it for Stack. Let’s.
78 00:10:07.990 ⇒ 00:10:17.469 Nicolas Sucari: Okay for pull parts. Let’s go with these. Yeah, I was done.
79 00:10:17.590 ⇒ 00:10:18.620 Nicolas Sucari: So
80 00:10:19.620 ⇒ 00:10:27.050 Nicolas Sucari: we have the skew staff we met with Ian last week, and pay us. We we discussed with pay us on
81 00:10:27.110 ⇒ 00:10:52.650 Nicolas Sucari: adding to those top 20 skills that we gathered from the Asia data all of the costs that we have from the dance spreadsheet, and what we can figure out that our costs in the Asia files and share back with them with Dan and Ian to validate if we are getting the correct numbers. So the idea is to create that enhanced kind of top 20 skill list with all of the costs associated
82 00:10:53.074 ⇒ 00:11:04.069 Nicolas Sucari: for those products, and and see if that is like accurate. And with that then go back and start adding all of those costs to all of the other platforms.
83 00:11:04.849 ⇒ 00:11:11.399 Nicolas Sucari: Apart from that. Yeah, we have the creation of the Strategic Exploration Project document here.
84 00:11:11.805 ⇒ 00:11:16.940 Nicolas Sucari: To be worked on today. So I guess you have any update on that one. Have you started.
85 00:11:17.552 ⇒ 00:11:44.260 Payas Parab (TikTok): I did get started. I’m just gonna I’ll finish that today. I’ll try target that today like filling it. That document that I’ll need, Tom and you to just give me context on what we’ve done. But I’m just gonna get it in like, like, similar to the Prd. I did for Javi. Just do something similar. Let’s get that in front of Dan, and we’ll kick off this week like those like 2 week data exploration sprints with them. So I hope we can kick that off by the midpoint. This week is basically my target.
86 00:11:45.850 ⇒ 00:11:46.410 Nicolas Sucari: Hey?
87 00:11:47.540 ⇒ 00:11:57.040 Nicolas Sucari: Great and then we have the marketing cost stuff that. We’re waiting on post pilot. We have been messaging with Janae
88 00:11:57.507 ⇒ 00:12:06.069 Nicolas Sucari: there, but we’re we’re expecting to have any answer from them yeah, early this week. So maybe today, tomorrow, if they didn’t answer, we’re gonna follow up on that one.
89 00:12:06.580 ⇒ 00:12:18.570 Payas Parab (TikTok): I did have a quick question on that. I looked at the thing Kim sent like post pilot in general, isn’t like a super consequential component like, it’s like couple of 100 a month, right? That they’re spending on that
90 00:12:19.000 ⇒ 00:12:20.729 Payas Parab (TikTok): is, it makes sense to like
91 00:12:20.870 ⇒ 00:12:30.419 Payas Parab (TikTok): like hide it. For now, like, I don’t know. Like just to get that dash, that that profit dashboard. And it’s to be correct. Just hide that if we have an error there, because
92 00:12:30.560 ⇒ 00:12:34.610 Payas Parab (TikTok): it’s not like a super consequential amount, right of their total marketing, spend.
93 00:12:37.420 ⇒ 00:12:39.880 Uttam Kumaran: Not really. But I just feel like we’re.
94 00:12:40.240 ⇒ 00:12:42.929 Uttam Kumaran: We’re pretty close to like closing us out right. And we’ve been added for.
95 00:12:42.930 ⇒ 00:12:43.610 Payas Parab (TikTok): Sure, sure.
96 00:12:43.610 ⇒ 00:12:45.610 Uttam Kumaran: Like just deleting it. I don’t think.
97 00:12:46.250 ⇒ 00:12:46.870 Payas Parab (TikTok): Sure.
98 00:12:46.870 ⇒ 00:12:48.000 Uttam Kumaran: Oh, okay, fair enough.
99 00:12:48.320 ⇒ 00:12:49.050 Uttam Kumaran: Just wait for me.
100 00:12:50.280 ⇒ 00:12:50.919 Payas Parab (TikTok): Sounds good.
101 00:12:51.500 ⇒ 00:12:53.180 Uttam Kumaran: What do they say last.
102 00:12:54.850 ⇒ 00:12:58.550 Payas Parab (TikTok): They were like. It’s probably an ingestion issue on your end. And I’m like.
103 00:12:58.890 ⇒ 00:13:13.630 Payas Parab (TikTok): I’m not fully convinced. Can you tell me like what they’re looking at. And then I told them like, Here’s the date in question where it like looks very off. So can you pull like? What did you send us, because I can’t reconcile it either way, like, even if it’s like a duplicate, if it’s like a units issue.
104 00:13:13.740 ⇒ 00:13:23.139 Payas Parab (TikTok): I I can’t tell. So I I just told her, can you, whatever your solutions engineer is looking at, can you send us for that particular day what you sent us.
105 00:13:24.020 ⇒ 00:13:24.650 Uttam Kumaran: Okay.
106 00:13:25.660 ⇒ 00:13:33.999 Payas Parab (TikTok): I don’t know if that’s the best approach. But, like me and Ryan toiled around with it. And we’re like we we just like there’s actually no explanation other than like the data they sent is wrong.
107 00:13:34.780 ⇒ 00:13:39.939 Uttam Kumaran: Okay, yeah. Ryan, do we have a log on our side of where all these files are.
108 00:13:46.540 ⇒ 00:13:54.400 Luke Daque: I don’t know. I don’t think we have like documentation of the log where they are coming from, but if we look at like the 5 grand
109 00:13:55.070 ⇒ 00:14:00.919 Luke Daque: pipeline. Then we’ll be able to see the sources, especially the Google sheets one
110 00:14:01.250 ⇒ 00:14:04.149 Luke Daque: and the ones that are coming in from email.
111 00:14:04.920 ⇒ 00:14:09.040 Payas Parab (TikTok): For the ones that are coming in from email. Can you just look at that day and just see what was sent.
112 00:14:09.470 ⇒ 00:14:10.769 Payas Parab (TikTok): Is that possible.
113 00:14:10.930 ⇒ 00:14:12.599 Payas Parab (TikTok): I have them working on it, too.
114 00:14:12.600 ⇒ 00:14:17.739 Luke Daque: Because, yeah, cause it’s being sent to a 5 tran email, it’s not really an actual.
115 00:14:17.740 ⇒ 00:14:22.379 Luke Daque: So we, it’s not like, we can’t see what was sent to that email. Only 5 Tran knows.
116 00:14:24.180 ⇒ 00:14:25.460 Uttam Kumaran: I’ll have to confirm.
117 00:14:25.900 ⇒ 00:14:30.700 Uttam Kumaran: But okay, I’ll I’ll see if I can find what they’re sending.
118 00:14:31.070 ⇒ 00:14:35.450 Payas Parab (TikTok): It’s okay, post pilots working on it. So we can. We can just like, let them let them own that it’s fine.
119 00:14:35.600 ⇒ 00:14:36.290 Uttam Kumaran: Okay.
120 00:14:36.650 ⇒ 00:14:37.230 Payas Parab (TikTok): Yeah.
121 00:14:39.360 ⇒ 00:14:48.680 Nicolas Sucari: Okay? And for the the weather analysis, we push that back to backlog as we’re yeah focusing on the skew stuff and closing up this marketing error
122 00:14:49.234 ⇒ 00:15:04.159 Nicolas Sucari: so that’s gonna be there and backlog in order to wait. And if we clean this stuff up this week we can then take it again. On the modeling side. We don’t have anything, I think, for now. Ryan, I think that’s right. Okay.
123 00:15:04.860 ⇒ 00:15:05.520 Luke Daque: Yeah.
124 00:15:06.960 ⇒ 00:15:09.680 Nicolas Sucari: Okay, cool.
125 00:15:10.340 ⇒ 00:15:13.319 Nicolas Sucari: That’s cool parts. Any other thing. Here, guys.
126 00:15:15.470 ⇒ 00:15:17.369 Nicolas Sucari: if not, let’s go to Javi.
127 00:15:20.670 ⇒ 00:15:23.859 Payas Parab (TikTok): Fun update. My Javi coffee arrived today that I’m on.
128 00:15:23.860 ⇒ 00:15:24.210 Uttam Kumaran: Same.
129 00:15:25.080 ⇒ 00:15:31.370 Payas Parab (TikTok): Dude hooked it up, sent like 6. He sent 6 like 6 different of their like flavors.
130 00:15:33.370 ⇒ 00:15:39.169 Payas Parab (TikTok): Not gonna lie. It didn’t taste great, though unfortunately, I’m not gonna say that. But they weren’t great.
131 00:15:41.380 ⇒ 00:15:42.360 Robert Tseng: You got the protein one.
132 00:15:43.400 ⇒ 00:15:48.099 Payas Parab (TikTok): I didn’t try the protein one I got just like the he sent the mixer like the concentrate.
133 00:15:48.360 ⇒ 00:15:49.030 Robert Tseng: Yeah.
134 00:15:50.460 ⇒ 00:15:58.670 Payas Parab (TikTok): And we tried me, and my girlfriend tried the sweet vanilla one this morning, and I was disappointed, but she liked it. So we’ll see how the other flavors go.
135 00:16:01.560 ⇒ 00:16:05.576 Nicolas Sucari: Okay? Well, okay. So for Javi.
136 00:16:06.740 ⇒ 00:16:22.589 Nicolas Sucari: the recharge and Okendo, modeling away, finished that. I think okendo last week and recharge, he sent a pull request yesterday. If I’m not wrong. Autumn, you already reviewed that, and I think you already merged, so maybe we can close this one right.
137 00:16:22.590 ⇒ 00:16:23.770 Uttam Kumaran: Okay. Yeah.
138 00:16:24.960 ⇒ 00:16:25.630 Nicolas Sucari: Perfect.
139 00:16:25.750 ⇒ 00:16:36.590 Nicolas Sucari: We’re just waiting for the north beam data there. We’re still blocked, I think, on that one, or is something that you need to do right with them.
140 00:16:36.870 ⇒ 00:16:43.149 Uttam Kumaran: Yeah, just leave that this, I think today I’ll I’ll have some answer for that. So that’s fine.
141 00:16:44.378 ⇒ 00:16:48.850 Nicolas Sucari: So what is? What’s the next steps for the gorgeous and okendo data like.
142 00:16:49.240 ⇒ 00:16:52.439 Uttam Kumaran: Is that going to a dashboard, or like what’s the final.
143 00:16:55.190 ⇒ 00:16:58.869 Nicolas Sucari: So yeah, for the recharge. You mean, we’re just we’re still waiting.
144 00:16:59.520 ⇒ 00:17:00.819 Uttam Kumaran: Yeah, yeah.
145 00:17:01.440 ⇒ 00:17:22.580 Nicolas Sucari: Yeah. Last, the last time, when we have everything from 5 trend, we created some dashboards in real for a man in order to look at, though, at that data. But there was no like specific dashboard that we should add, all of those things. We can update the real dashboards with the new data coming from 5 from portable and yeah, share that with a man if you want.
146 00:17:23.680 ⇒ 00:17:37.129 Nicolas Sucari: And then we the idea was to look into the different sources and try to match information between gorgeous recharge okendo, and everywhere, and try to gather better insights in order to share with them.
147 00:17:38.180 ⇒ 00:17:43.339 Uttam Kumaran: I guess. Like, see this, all all this stuff seems like work for pie. So, pies, you know where this
148 00:17:43.820 ⇒ 00:17:46.669 Uttam Kumaran: Oquendo and and recharge data is gonna end up.
149 00:17:47.110 ⇒ 00:17:51.969 Payas Parab (TikTok): The recharge in Okendo. I I have to take a look at it. The only thing that I had on my
150 00:17:52.120 ⇒ 00:18:04.150 Payas Parab (TikTok): plate right now was starting with Amazon Dash. Then the second was the amplitude dash that we created with gorgeous in metabase. That’s all I had. So I actually have to review the Okendo and recharge stuff myself.
151 00:18:04.860 ⇒ 00:18:07.249 Payas Parab (TikTok): But I think you’re right, Utam, that it’s like
152 00:18:07.430 ⇒ 00:18:09.760 Payas Parab (TikTok): we need to start dashboarding there
153 00:18:09.960 ⇒ 00:18:17.879 Payas Parab (TikTok): and probably getting I don’t know who engaged to like. Tell us what they need. There. Is it, Aman? I I don’t know.
154 00:18:18.501 ⇒ 00:18:20.659 Payas Parab (TikTok): Maybe it’s Justin. We’ll see.
155 00:18:21.890 ⇒ 00:18:27.339 Payas Parab (TikTok): Yeah, I think Utam, you’re right. That like, if if the data is there in like Snowflake.
156 00:18:27.670 ⇒ 00:18:36.669 Payas Parab (TikTok): I think it is time to like move that into some of these like custom views in metabase for Oquendo and or Oquendo and Recharge. I just I haven’t taken a look yet.
157 00:18:37.150 ⇒ 00:18:37.820 Uttam Kumaran: Okay.
158 00:18:38.190 ⇒ 00:18:43.359 Payas Parab (TikTok): Yeah, I will add that like, I think I’ll prioritize Amazon. And then that gorgeous dashboard 1st
159 00:18:43.580 ⇒ 00:18:47.840 Payas Parab (TikTok): for this week, and then
160 00:18:47.980 ⇒ 00:19:06.330 Payas Parab (TikTok): also see if we can get some feedback on gross margin stuff from Jared Dash, Jonathan. So I think like it’s like there’s like a couple of things on the stack there, Tom, I think 1st is gross margin, trying to see if we can close that out by getting some feedback from Jared and Jonathan. Then I’ll do the Amazon, because it’s a direct request. Near term
161 00:19:06.450 ⇒ 00:19:26.139 Payas Parab (TikTok): gorgeous is like one that’s been on the like. Now that we have all the data and stuff like moved over. I think it should be recreating what I created shouldn’t be too hard, and then we’ll jump to the O. Kendo and the recharge, and we can kind of ask them on who’s the right, whether it’s him or Justin to tell us like what that dashboard should look like.
162 00:19:26.710 ⇒ 00:19:35.450 Uttam Kumaran: Okay. So I’m gonna create a ticket here. That’s like, that’s just a spike ticket on recharge.
163 00:19:36.230 ⇒ 00:19:38.610 Uttam Kumaran: Oh, kendo dashboard!
164 00:19:42.560 ⇒ 00:19:43.530 Payas Parab (TikTok): Oh, thanks!
165 00:19:44.310 ⇒ 00:19:52.292 Robert Tseng: So last week we met on this client and I had some notes on like different directions. I wanted to go explore.
166 00:19:52.990 ⇒ 00:20:01.999 Robert Tseng: I don’t know. I feel like every time I pull up the joby notion. It looks different, and I don’t know where where my notes go, so like I have no idea where where that is.
167 00:20:02.629 ⇒ 00:20:11.590 Robert Tseng: I I feel like it was moved because I had just popped it like right in the middle. Just so I would not hide it in some random tickets.
168 00:20:16.530 ⇒ 00:20:18.100 Nicolas Sucari: Maybe you’re looking into this.
169 00:20:19.120 ⇒ 00:20:24.107 Robert Tseng: No, I had had nothing to do with this stuff like I I just feel like we’re lacking some.
170 00:20:24.730 ⇒ 00:20:27.880 Payas Parab (TikTok): Some strategic direction here. So I.
171 00:20:28.810 ⇒ 00:20:29.930 Robert Tseng: I had like.
172 00:20:29.930 ⇒ 00:20:31.180 Nicolas Sucari: This one right.
173 00:20:32.139 ⇒ 00:20:32.659 Robert Tseng: Yes.
174 00:20:33.000 ⇒ 00:20:33.710 Robert Tseng: Okay.
175 00:20:33.710 ⇒ 00:20:34.040 Nicolas Sucari: Perfect.
176 00:20:34.040 ⇒ 00:20:35.889 Robert Tseng: I don’t even know how you get there, but.
177 00:20:37.340 ⇒ 00:20:40.880 Nicolas Sucari: It’s under resources in a page called account management.
178 00:20:43.020 ⇒ 00:20:57.230 Nicolas Sucari: I mean, I can move this. We can move this into more like easy view. We can take out this account management page here and add it just like in the homepage for Javi and you, and add it here if you want, like a new page in the navigation.
179 00:20:57.784 ⇒ 00:20:58.069 Robert Tseng: Yeah.
180 00:20:58.070 ⇒ 00:20:58.510 Nicolas Sucari: Work for you.
181 00:20:58.730 ⇒ 00:21:00.039 Robert Tseng: Yeah, I would do that.
182 00:21:02.290 ⇒ 00:21:13.276 Robert Tseng: Yeah, I I feel like we. We need some more like planning on the Javi side. So I want to spend time there this week. I’m hoping to spend more time here than in
183 00:21:13.980 ⇒ 00:21:15.620 Robert Tseng: in Eden. So
184 00:21:15.850 ⇒ 00:21:20.760 Robert Tseng: I I feel like we had some good ideas from last week. I just have to like, or I just have to organize it.
185 00:21:23.300 ⇒ 00:21:29.329 Payas Parab (TikTok): Yeah, I’m wondering. Robert, if you want to like it might be worthwhile to nudge Justin on the
186 00:21:29.600 ⇒ 00:21:36.850 Payas Parab (TikTok): the data science tasks that we spent like 15 h on. If if you want to
187 00:21:37.400 ⇒ 00:21:41.360 Payas Parab (TikTok): like nudge that. So we can see if we can get some feedback on that cause. That.
188 00:21:41.360 ⇒ 00:21:46.300 Payas Parab (TikTok): Yeah, they all that he tagged as like a new guy for their marketplaces. Strategy.
189 00:21:46.300 ⇒ 00:21:46.700 Robert Tseng: Yep.
190 00:21:46.700 ⇒ 00:21:48.580 Payas Parab (TikTok): So like Amazon. So I think like
191 00:21:48.790 ⇒ 00:22:07.239 Payas Parab (TikTok): if we can get him. Because, he added him, Blake is like that Guy Blake is like not replied to anything, so I like. It’s between Blake and Justin. If we can re-engage them there on that. That might be a good starting point, because we have a deliverable ready, which is at 35,000 matched customers. So like if we were to just like start somewhere, and then.
192 00:22:07.670 ⇒ 00:22:14.309 Payas Parab (TikTok): like the gross margin stuff. We’re just kind of closing out. Then if the gorgeous dashboard we have there, we can get them on
193 00:22:14.660 ⇒ 00:22:25.250 Payas Parab (TikTok): kind of engage again. If he’s interested in that gorgeous stuff which I think he was. I think that could be like kind of like the starting point. And then we can think about the broader strategy is like where? Where my head’s at. I don’t know. If you agree.
194 00:22:25.490 ⇒ 00:22:28.280 Robert Tseng: Yeah, yeah, okay, those are good starting points. Yeah, yeah.
195 00:22:28.530 ⇒ 00:22:38.709 Payas Parab (TikTok): But I but I would just bump that to Justin because Justin asked for it. Blake is in there, and Blake’s kind of new, and he’s looking to build out some clearly some sort of Amazon strategy. So we can probably start there
196 00:22:38.820 ⇒ 00:22:40.789 Payas Parab (TikTok): to get Justin back in the fold.
197 00:22:41.310 ⇒ 00:22:42.140 Robert Tseng: Okay.
198 00:22:44.990 ⇒ 00:22:55.730 Robert Tseng: but highest. I know. I like message you about like, okay. If you don’t feel like you can, you can do the Amazon dash like you don’t have to do it. But I guess it’s it’s on your plate again, are you? Are you good with doing it?
199 00:22:56.420 ⇒ 00:23:22.819 Payas Parab (TikTok): I am. I am. I just wanted to like flag it to you that like depending on where you think that clients at like maybe, like, I think we have given some deliverables last week, right? So I feel like we’re in a good place. But like who Tom and Robert, if you’re feeling like we’re still not giving them enough to like build their trust enough. Then I’m wondering if maybe it’s helpful to just have you jump in as well just to like start just just like a few hours on some stuff. Then we’re both like
200 00:23:23.040 ⇒ 00:23:27.670 Payas Parab (TikTok): we’re delivering like double the output for this week. You know what I’m saying if we’re if we’re not in a good place, but I think.
201 00:23:27.670 ⇒ 00:23:43.569 Uttam Kumaran: I don’t want to deliver double. I don’t want to deliver double the output. I want to deliver just the output. So the work that’s on. Here is the is closing out the gross margin and the Amazon dashboard. I think the question to you is like, Can you handle that? And the pool part stuff this week.
202 00:23:44.810 ⇒ 00:23:45.950 Uttam Kumaran: When do you? When.
203 00:23:46.270 ⇒ 00:23:49.015 Payas Parab (TikTok): I think the answer might be, No, if the
204 00:23:49.430 ⇒ 00:23:57.089 Payas Parab (TikTok): When do you think we need to get the Amazon dashboard by is like Friday. Okay? Or is that like too long? It’s been sitting too long in your opinion.
205 00:23:58.770 ⇒ 00:24:05.299 Robert Tseng: Well, I think the only con I got a I got a message from from Jared last week, and he was like.
206 00:24:05.500 ⇒ 00:24:26.150 Robert Tseng: I don’t think you guys have put anything out like I mean, just he’s just like people just best. So I get we’re doing the engineering work. And Aman has been more on top of that. But there’s not enough visibility going into the the, I mean. And, to be honest, the process gross margin work. I don’t think anybody has seen it yet, so I know we just shared that out so. But probably nobody has reviewed it.
207 00:24:26.350 ⇒ 00:24:47.220 Robert Tseng: So yeah, it’s just been. We’ve we’ve been re-engaged with them for a month, and they haven’t really seen a report. And so I think that’s that’s that to me. If I were just put it simply like, I think it’s his biggest concern. So I feel like just the way that we’re yeah. I’m not saying like, he wants to see 2 dashboards instead of one this week. I think it’s less about that. It’s just more about
208 00:24:47.390 ⇒ 00:25:00.709 Robert Tseng: okay. We need to have a cadence of consistently showing them things that they that that people that yeah, the people can review beyond just engineering work. And yeah, I think I’m hoping that.
209 00:25:00.710 ⇒ 00:25:06.469 Robert Tseng: So we we did that like last Friday? Right? I think it’s just like what I what I feel is that like, during the week.
210 00:25:06.770 ⇒ 00:25:11.420 Payas Parab (TikTok): That’s where I struggle with like delivering something on a Wednesday or Thursday. But if it’s like a Friday
211 00:25:11.750 ⇒ 00:25:17.420 Payas Parab (TikTok): afternoon, Friday evening delivery, then I’m like comfortable like the Amazon I could do by Friday, for sure.
212 00:25:17.684 ⇒ 00:25:20.589 Uttam Kumaran: Too. Friday’s too late. Friday is what Friday is too late.
213 00:25:20.590 ⇒ 00:25:22.369 Payas Parab (TikTok): That’s so. That’s what I’m asking. Friday is too late.
214 00:25:22.370 ⇒ 00:25:23.460 Uttam Kumaran: Gross margin stuff.
215 00:25:23.790 ⇒ 00:25:24.809 Uttam Kumaran: Yeah, we play.
216 00:25:25.730 ⇒ 00:25:26.330 Uttam Kumaran: So like.
217 00:25:26.330 ⇒ 00:25:27.800 Nicolas Sucari: The Amazon Request.
218 00:25:27.800 ⇒ 00:25:32.589 Uttam Kumaran: I wouldn’t consider the gross margin part of this conversation, because that would be already delayed on.
219 00:25:32.970 ⇒ 00:25:38.379 Uttam Kumaran: So I think for me the goal would be Wednesday or or sooner, if
220 00:25:38.780 ⇒ 00:25:43.739 Uttam Kumaran: if if you’re like yo, I can’t do it. That’s fine. Just say that, and we’ll figure something out.
221 00:25:45.710 ⇒ 00:25:47.860 Payas Parab (TikTok): Yeah, I don’t think I can do that. I’ll just say that straight up.
222 00:25:47.860 ⇒ 00:25:48.310 Uttam Kumaran: Okay.
223 00:25:48.310 ⇒ 00:25:48.850 Payas Parab (TikTok): Yeah.
224 00:25:50.040 ⇒ 00:25:50.600 Uttam Kumaran: Okay.
225 00:25:52.120 ⇒ 00:25:55.436 Uttam Kumaran: So leave this open for now, Nico.
226 00:25:55.910 ⇒ 00:26:02.330 Robert Tseng: Yeah, we’ll see if I’ll jump in. Or yeah. I mean, maybe we’ll have to find. Yeah, I don’t know. We’ll we’ll see.
227 00:26:04.060 ⇒ 00:26:12.509 Nicolas Sucari: Yeah, it’s the request came in from a man last Tuesday. So yeah, it’s been sitting there for the entire week last week. And yeah.
228 00:26:13.300 ⇒ 00:26:14.980 Nicolas Sucari: we need to start working on this one. Maybe.
229 00:26:15.240 ⇒ 00:26:17.380 Uttam Kumaran: Leave this here and then.
230 00:26:17.380 ⇒ 00:26:18.120 Nicolas Sucari: Yeah.
231 00:26:18.120 ⇒ 00:26:19.550 Uttam Kumaran: Okay. Great.
232 00:26:21.870 ⇒ 00:26:38.719 Nicolas Sucari: Okay, yeah. Just one thing. I don’t know that I I don’t think I’m in that channel where you’re talking with Jonathan Blake, or I don’t know who else is in that channel communicating to Justin and Jared. I don’t know, Robert, if you want to add me there, but I think I’m like missing a lot of conversations there.
233 00:26:38.840 ⇒ 00:26:47.459 Nicolas Sucari: Like to understand the entire context of what we are sharing with them, or we’re not sharing with them. I’m just in the external channel with mine. Okay.
234 00:26:49.920 ⇒ 00:26:50.750 Robert Tseng: Yeah.
235 00:26:53.660 ⇒ 00:26:59.530 Nicolas Sucari: I. I’m just saying that. So that you know that maybe I’m missing some conversations between you guys and
236 00:26:59.720 ⇒ 00:27:07.349 Nicolas Sucari: Justin or Jared, or anyone else, Justin, just so that you can know that I’m not aware of those things. Okay.
237 00:27:10.790 ⇒ 00:27:11.580 Nicolas Sucari: okay, okay.
238 00:27:11.580 ⇒ 00:27:13.340 Robert Tseng: I mean that I
239 00:27:14.210 ⇒ 00:27:18.559 Robert Tseng: I I may not add you. Frankly, I’m not. I’m not sure yet. But okay.
240 00:27:20.030 ⇒ 00:27:20.810 Nicolas Sucari: Okay?
241 00:27:21.575 ⇒ 00:27:34.919 Nicolas Sucari: But yeah, I mean, for Javi, yeah, I think if we can get the gross margin dashboard feedback and what else we can do with that address matching then, on the engineering side, I think we have like clear.
242 00:27:35.570 ⇒ 00:27:43.590 Nicolas Sucari: clear tasks that we need to work on. Apart from that we have the Amazon dashboard. And yeah, anything else. Just let me know. I can add here, too.
243 00:27:43.810 ⇒ 00:27:49.529 Nicolas Sucari: the gorgeous stuff should be ready this week, too, at some point we were just missing a couple
244 00:27:49.700 ⇒ 00:27:56.129 Nicolas Sucari: 1,000 more of records. So yeah, it should finish any between. Yeah, maybe. I think tomorrow, on Wednesday.
245 00:27:56.460 ⇒ 00:28:04.260 Nicolas Sucari: the syncing via portable. Okay, I think we’re missing Eden. Okay, let’s go with Eden.
246 00:28:11.430 ⇒ 00:28:14.480 Nicolas Sucari: So Hannah is not here, Robert. So maybe you can share any Update.
247 00:28:16.002 ⇒ 00:28:23.260 Robert Tseng: Yeah. I mean, I think, just stuff that’s in development, I think, closing out like marketing, modeling work
248 00:28:23.834 ⇒ 00:28:31.980 Robert Tseng: so Hannah’s kicking off some work with the Cx team. And then there’s a few things I have planned that I need to
249 00:28:32.130 ⇒ 00:28:33.090 Robert Tseng: wrap up.
250 00:28:33.940 ⇒ 00:28:41.230 Robert Tseng: It’s basically we’re gonna be implementing like the event data tracking the event, the event plan tracking plan that I guess
251 00:28:41.430 ⇒ 00:28:43.440 Robert Tseng: Sahana put together.
252 00:28:43.853 ⇒ 00:29:03.599 Robert Tseng: So this is like a mixed panel segment kind of solution. We we may like, yeah, I think it’ll be a bit slower on the data engineering work, which is fine this week. I want. I don’t. I don’t. Wanna, you know, push, push too much on on that. I think if we can wrap up the marketing work that should keep people at bay, and I don’t wanna say I’m gonna bring in a new source or anything this week.
253 00:29:05.680 ⇒ 00:29:07.040 Robert Tseng: Yeah, I think
254 00:29:07.700 ⇒ 00:29:23.172 Robert Tseng: ideally, the wrap up for the marketing just looks like, okay, making sure that it, it flows through the to the reports. People get that product level view that they wanted. We get to show like a data quality before and after. So that I can make that upsell. And then
255 00:29:24.380 ⇒ 00:29:27.339 Robert Tseng: yeah, I think that that should be enough on the marketing side. For now.
256 00:29:30.200 ⇒ 00:29:37.130 Nicolas Sucari: Okay, Utam, you wanted to handle any some of this work on the engineering side to await.
257 00:29:37.540 ⇒ 00:29:40.850 Nicolas Sucari: Do we have here? What do you? Wanna yeah.
258 00:29:41.100 ⇒ 00:29:45.990 Uttam Kumaran: Yeah, I mean, I have a little bit. I have a few items here. I really wanna just hand off anything.
259 00:29:46.380 ⇒ 00:29:51.650 Uttam Kumaran: I have a couple of items I’m gonna add here to add to his plate for some background work for Eden.
260 00:29:52.280 ⇒ 00:29:58.140 Uttam Kumaran: On Dbt, so I’ll add tickets into here, but my ticket here is enough.
261 00:29:58.540 ⇒ 00:29:59.499 Uttam Kumaran: and then I’ll
262 00:29:59.950 ⇒ 00:30:01.259 Uttam Kumaran: Yeah, I think that’s it.
263 00:30:04.270 ⇒ 00:30:04.900 Nicolas Sucari: Okay?
264 00:30:08.645 ⇒ 00:30:12.289 Nicolas Sucari: Yeah. Anything else, guys that we have to discuss
265 00:30:12.400 ⇒ 00:30:15.160 Nicolas Sucari: any other task, any other client.
266 00:30:15.650 ⇒ 00:30:17.850 Uttam Kumaran: So, Nico, you’re you’re out after tomorrow.
267 00:30:19.180 ⇒ 00:30:19.710 Nicolas Sucari: Yes.
268 00:30:22.480 ⇒ 00:30:23.459 Uttam Kumaran: Okay. So I can run.
269 00:30:23.460 ⇒ 00:30:28.920 Nicolas Sucari: I mean, I’ll I’ll be with. I’ll be with my phone, probably, so don’t hesitate. If you need anything, I can jump
270 00:30:29.120 ⇒ 00:30:31.149 Nicolas Sucari: into any call if you need me.
271 00:30:31.547 ⇒ 00:30:37.660 Nicolas Sucari: I I don’t know where I’m gonna where I’m going. So I’m not sure how it’s gonna be the reception there. But.
272 00:30:37.660 ⇒ 00:30:50.360 Uttam Kumaran: Yeah, don’t worry about that. I’ll just I can. I can take this for this week. I’ll be close to a lot of work. And yeah, we’ll we’ll probably end up bringing Jacob in, and then I’ll start working on one more
273 00:30:50.610 ⇒ 00:30:52.930 Uttam Kumaran: person on the analyst side as well.
274 00:30:53.664 ⇒ 00:30:55.489 Uttam Kumaran: So that I’ll close out today
275 00:30:55.740 ⇒ 00:30:59.280 Uttam Kumaran: and get that going so he can start to work on some of those dashboards.
276 00:30:59.790 ⇒ 00:31:00.660 Uttam Kumaran: Yeah.
277 00:31:02.340 ⇒ 00:31:15.929 Nicolas Sucari: Let me know. And I can. Yeah, send some notes to Jacob or anyone else on what we are trying to accomplish for this week. And yeah, just to share updates end of the week. And I can grab that and prepare the yeah update by end of the week. Okay.
278 00:31:18.200 ⇒ 00:31:18.970 Nicolas Sucari: okay.
279 00:31:20.460 ⇒ 00:31:21.370 Luke Daque: Do do we have.
280 00:31:21.370 ⇒ 00:31:22.139 Nicolas Sucari: Thank you. Guys.
281 00:31:22.260 ⇒ 00:31:26.200 Luke Daque: We already have, like okrs for data.
282 00:31:28.199 ⇒ 00:31:34.859 Uttam Kumaran: No, the. Only I think the biggest okayr is really just the reducing our me and Robert’s time
283 00:31:35.130 ⇒ 00:31:36.819 Uttam Kumaran: on clients.
284 00:31:37.258 ⇒ 00:31:43.169 Uttam Kumaran: So that’s the primary. Okay? I think for next quarter we’ll talk a little bit about data quality
285 00:31:43.590 ⇒ 00:31:44.989 Uttam Kumaran: like bugs and stuff.
286 00:31:46.560 ⇒ 00:31:48.710 Luke Daque: But that’s really the short term thing.
287 00:31:50.470 ⇒ 00:31:54.949 Uttam Kumaran: Is lowering our. You know the amount of tickets that are on our plate, so.
288 00:31:55.840 ⇒ 00:31:57.050 Luke Daque: Yeah, makes sense.
289 00:31:57.980 ⇒ 00:32:06.870 Nicolas Sucari: I shared Robert to them. Some yeah metrics or the communication queue result. So if you can, then take a look, let me know what you think
290 00:32:07.730 ⇒ 00:32:18.759 Nicolas Sucari: there are. Yeah, some for different initiatives that we have there. But yeah, just to think about that. And see how we can structure, like those metrics. Okay.
291 00:32:19.100 ⇒ 00:32:19.690 Uttam Kumaran: Okay.
292 00:32:21.910 ⇒ 00:32:22.480 Nicolas Sucari: Okay.
293 00:32:25.690 ⇒ 00:32:26.200 Uttam Kumaran: Okay.
294 00:32:26.200 ⇒ 00:32:26.600 Nicolas Sucari: Okay.
295 00:32:27.230 ⇒ 00:32:28.150 Uttam Kumaran: Thanks guys.
296 00:32:28.760 ⇒ 00:32:30.110 Nicolas Sucari: Thank you. Guys. Bye-bye.
297 00:32:30.110 ⇒ 00:32:30.710 Luke Daque: Bye-bye.