Meeting Title: Nico <> Bryce Date: 2024-07-11 Meeting participants: Bryce Codell, Nicolas Sucari
WEBVTT
1 00:01:30.630 ⇒ 00:01:31.560 Nicolas Sucari: Hi Bryce.
2 00:01:41.580 ⇒ 00:01:43.090 Bryce Codell: Sorry about that getting my
3 00:01:43.130 ⇒ 00:01:45.070 Bryce Codell: getting myself situated for the day.
4 00:01:45.300 ⇒ 00:01:47.270 Bryce Codell: Nicholas. What’s up? How are you, man?
5 00:01:48.110 ⇒ 00:01:51.300 Nicolas Sucari: How are you all good here? Nice to meet you.
6 00:01:51.460 ⇒ 00:01:55.894 Bryce Codell: Nice to meet you as well also. Do you prefer Nicholas Nico, Nick? What’s
7 00:01:56.860 ⇒ 00:01:58.189 Nicolas Sucari: Nico is fine. Yeah.
8 00:01:58.190 ⇒ 00:02:01.529 Bryce Codell: Alright, yeah, it’s nice to meet you. Where are you based.
9 00:02:03.015 ⇒ 00:02:05.490 Nicolas Sucari: Right now I’m in Miami.
10 00:02:05.700 ⇒ 00:02:11.170 Nicolas Sucari: Florida. But I live in Argentina. I’ll be here until Saturday. Then I’m going back.
11 00:02:11.858 ⇒ 00:02:14.000 Nicolas Sucari: Yeah. I’m in Buenos Aires.
12 00:02:15.331 ⇒ 00:02:19.090 Bryce Codell: I’m in Brooklyn, are you from Buenos Aires? Originally.
13 00:02:19.090 ⇒ 00:02:20.210 Nicolas Sucari: Yes, yes.
14 00:02:20.370 ⇒ 00:02:23.859 Bryce Codell: Very cool. Nice. How’d you get connected to town?
15 00:02:25.521 ⇒ 00:02:41.560 Nicolas Sucari: It was interesting. By the I think he was working with an agency for recruiting, and they contact me through Linkedin. We had like, I think, 2 calls. And I made some of the team. And yeah, that was it. It was like pretty fast.
16 00:02:42.830 ⇒ 00:02:43.780 Bryce Codell: Nice. How about you?
17 00:02:43.780 ⇒ 00:02:45.950 Nicolas Sucari: What? What do you know which I’m from before.
18 00:02:46.140 ⇒ 00:02:53.908 Bryce Codell: Yeah, we work together. We work back in the day and like, had a great working relationship. Also just struck up a really nice friendship.
19 00:02:54.540 ⇒ 00:02:58.490 Bryce Codell: and so and we’ve just stayed in yeah, both
20 00:02:58.850 ⇒ 00:03:02.189 Nicolas Sucari: And you have you? Have you been living in Brooklyn for a long time?
21 00:03:03.050 ⇒ 00:03:16.910 Bryce Codell: On and off for the last, like 7 or so years. So it was here for about 3, and then went back to Chicago, where I’m originally from during the pandemic for a couple of years, and then I’ve been back.
22 00:03:16.910 ⇒ 00:03:17.400 Nicolas Sucari: Okay.
23 00:03:17.400 ⇒ 00:03:19.258 Bryce Codell: For a couple of years.
24 00:03:19.980 ⇒ 00:03:23.059 Bryce Codell: so yeah, I got. Have you ever been up to New York?
25 00:03:23.780 ⇒ 00:03:26.130 Nicolas Sucari: Yes, yes, really nice.
26 00:03:26.480 ⇒ 00:03:35.749 Bryce Codell: Yeah, I like, I really love urban life, and like it’s, it can be an intense city for sure. But I like the bustle, and I like the the crowdedness, all the things that people.
27 00:03:35.750 ⇒ 00:03:36.350 Nicolas Sucari: Yeah.
28 00:03:36.626 ⇒ 00:03:44.370 Bryce Codell: Like, which are totally justified, or things that I weirdly like for one reason or another, like, yeah, I like, I don’t know I I like the.
29 00:03:44.370 ⇒ 00:03:47.770 Nicolas Sucari: Yeah, Wednesday is kind of similar to that.
30 00:03:48.240 ⇒ 00:03:49.630 Nicolas Sucari: The noise. The
31 00:03:50.162 ⇒ 00:03:53.460 Nicolas Sucari: people are kind of moving fast and stressed
32 00:03:53.470 ⇒ 00:04:01.470 Nicolas Sucari: some point. But yeah, I also like the city. And yeah, I’ve been in New York. And it’s it’s amazing. So yeah, I like it.
33 00:04:01.760 ⇒ 00:04:10.394 Bryce Codell: Nice, nice what were you? Are you working full time with you, Tom? Or are you part time and doing other stuff as well.
34 00:04:11.200 ⇒ 00:04:18.546 Nicolas Sucari: I’m full time we do time now. It’s been a month, I think. Yeah, a little bit more than a month.
35 00:04:18.920 ⇒ 00:04:21.689 Nicolas Sucari: But yeah, full time. Now.
36 00:04:21.940 ⇒ 00:04:22.500 Bryce Codell: Nice.
37 00:04:22.500 ⇒ 00:04:25.049 Nicolas Sucari: You’re going to be part time, or some hours, or.
38 00:04:25.050 ⇒ 00:04:33.219 Bryce Codell: Yeah. So the the high level gist is that I’m leaving my job and embarking on a bit of my own freelance journey and
39 00:04:33.620 ⇒ 00:04:44.590 Bryce Codell: my preferred focus. Like, so I have like full stack data and analytics. Ml skills. But my definite preference is for like
40 00:04:44.750 ⇒ 00:05:04.847 Bryce Codell: strateg like analysis and like strategy and operations like strategic decision making kind of stuff. And so I wanna be able to like, leave my full time job, want to do freelance, want to focus more on the analysis side like this, like a step, the step after initial infrastructure and like date pipeline setup
41 00:05:05.585 ⇒ 00:05:24.798 Bryce Codell: like, I have a workflow that works really well for me, allows me to move fast and, like, get like go from like time, from initial request to like insight value like fairly quickly. And I wrote to like, have the opportunity to like, really stress test that workflow on a variety of different clients of different data sets.
42 00:05:25.510 ⇒ 00:05:27.310 Bryce Codell: yeah. So back.
43 00:05:27.600 ⇒ 00:05:36.420 Bryce Codell: I like. I think it’ll work like I’m I’m pretty good at my at my job in full in like full time environments, and I’ve been using us so like similar workflows there. But
44 00:05:37.420 ⇒ 00:05:47.029 Bryce Codell: the aspiration is to like kind of like, be able to just just focus on the analysis stuff and be a little less encumbered by, like the politics of like
45 00:05:47.480 ⇒ 00:05:50.050 Bryce Codell: corporate life. Being a full time employee. Those types of dynamics.
46 00:05:50.050 ⇒ 00:05:50.740 Nicolas Sucari: Yeah.
47 00:05:51.110 ⇒ 00:06:02.679 Bryce Codell: And so had a conversation with you. Town told him about these goals, and he’s like, well, you know, we do some analysis work for our clients, but it we focus a lot more on the infrastructure and like and like initial settings.
48 00:06:02.680 ⇒ 00:06:03.350 Nicolas Sucari: Yeah.
49 00:06:03.350 ⇒ 00:06:25.954 Bryce Codell: Pipeline maintenance after that. And so, like the analysis piece is especially tricky to sell, because there’s always the risk that, like they’re of scope creep where it’s like, okay, we like, pursued something. And like we didn’t see over like the result that we were expecting. So the client pay or something like that, because they’re like we thought this would be true, and we don’t have actually anything that we can
50 00:06:26.270 ⇒ 00:06:30.200 Bryce Codell: like action or take insight like, take info insight from
51 00:06:30.749 ⇒ 00:06:40.730 Bryce Codell: and so I said, like, that’s exactly the area where I want to operate. Maybe there’s an opportunity for us to like to collaborate.
52 00:06:40.730 ⇒ 00:06:58.669 Nicolas Sucari: Yeah, I I think there is an opportunity out brain Forge. I mean, we are doing a lot of a lot of work on the engineering side, the modeling stuff and analysis now, and but in in the way, if you have like, in your work, stream
53 00:06:59.020 ⇒ 00:07:16.139 Nicolas Sucari: or or on your process on how like to deliver to clients. I think that like kind of last mile is where the opportunity is. And obviously we can do a lot of work on engineering and modeling, but if we don’t nail the part on delivering to the client, and how to show what we are doing with the analysis
54 00:07:16.661 ⇒ 00:07:30.370 Nicolas Sucari: and how to show it. It’s kind of tricky for the client to understand what is like all of our work, right? So I think there is like a great opportunity on that. So yeah, welcome to the team. I think it’s it’s gonna be great.
55 00:07:30.370 ⇒ 00:07:37.159 Bryce Codell: Yeah, awesome. I appreciate, you know. So I’m excited to get moving so on that subject. The 1st place, that
56 00:07:37.500 ⇒ 00:07:44.020 Bryce Codell: who Tom recommended diving into was with the was the pull parts to go obviously, like.
57 00:07:44.020 ⇒ 00:07:44.390 Nicolas Sucari: Yeah.
58 00:07:44.777 ⇒ 00:07:51.373 Bryce Codell: Like. Seems like the longest tenured client the under brain forges banner, and
59 00:07:52.210 ⇒ 00:08:06.929 Bryce Codell: like dev like he granted me access to the code base. I’ve taken some time to look through the setup and everything super impressive. The stuff they all set up. I think the thing that’s missing now is a bit more context on, like the actual business operations, and like.
60 00:08:06.930 ⇒ 00:08:07.450 Nicolas Sucari: Yeah.
61 00:08:07.450 ⇒ 00:08:13.450 Bryce Codell: Like, how they run sales, how they run marketing, how they run their logistics and operations, and then payment.
62 00:08:13.450 ⇒ 00:08:14.200 Nicolas Sucari: Yeah.
63 00:08:14.200 ⇒ 00:08:15.000 Bryce Codell: Like that.
64 00:08:15.000 ⇒ 00:08:26.054 Nicolas Sucari: I don’t think, yeah. I don’t think I’m gonna be able to answer, like all of those questions, but probably I can give you a sense of like, general, yeah, overview of of things
65 00:08:26.612 ⇒ 00:08:45.750 Nicolas Sucari: right now, yeah, pull parties kind of biggest clients. We we have 2 clients pull parts. And Stella, I think you. I don’t know if you talked about that we do them, but we have 2 clients. Would I miss like working on sales stuff in order to get more clients so that we can start working with other things. But for now we have pull parts, that is the biggest one, the one that we are working most
66 00:08:45.750 ⇒ 00:08:59.420 Nicolas Sucari: on delivering stuff for the logistics parts and also marketing. And we’re working directly with the CEO and Cfo, so that we can gather requests and continue to deliver
67 00:08:59.470 ⇒ 00:09:00.810 Nicolas Sucari: to them.
68 00:09:01.820 ⇒ 00:09:19.430 Nicolas Sucari: how they are doing marketing, like we have, like 3 points of contact. Right? One is the yeah. The chief marketing officer, I think. She’s called team. We’ve been creating some reports 1st they were in lighthash, but now we’re moving everything into real you know about real.
69 00:09:19.430 ⇒ 00:09:19.970 Bryce Codell: Yep.
70 00:09:19.970 ⇒ 00:09:38.581 Nicolas Sucari: Yes, perfect, great. So we are using real. And we are obviously we’re using Snowflake as that warehouse with 5 china connectors. But we have all the information there. And then we are using real for that exploration. And now we are creating some dashboards and sharing with the client on real
71 00:09:38.920 ⇒ 00:09:58.619 Nicolas Sucari: And also we are using evidence. Evidence is just for yeah reporting. And once we have already to. Yeah, once we did some analysis how to just like, create that report, have it there for for them. If they want to consult. If they were to go into and see the actual data, how it’s moving on. We are. We’re working with evidence.
72 00:09:58.900 ⇒ 00:10:00.960 Nicolas Sucari: Have you worked with evidence before.
73 00:10:00.960 ⇒ 00:10:05.960 Bryce Codell: I haven’t, so can you give me a little like an example of like when you would use ring
74 00:10:06.540 ⇒ 00:10:08.039 Bryce Codell: thing versus when you would use evidence.
75 00:10:08.040 ⇒ 00:10:19.865 Nicolas Sucari: Yeah. So it so, for example, right now, we are working on identifying what is the best location to place a new warehouse and your shipping warehouse right
76 00:10:20.730 ⇒ 00:10:38.699 Nicolas Sucari: There is this provider called Unis. They have multiple warehouses along the Us. And now we are trying to understand, like a center of gravity analysis on. Where are the orders placed from, and where are we shipping from, so that we can reduce the shipping cost
77 00:10:38.700 ⇒ 00:10:54.490 Nicolas Sucari: in? I I don’t know if you are aware of how shipping works in the Us. You have like zones and depending on the distance from the shipping from the warehouse to the where the order needs to be shipped. Like it, it gets
78 00:10:54.510 ⇒ 00:11:07.019 Nicolas Sucari: categorizing different zones right? So you have zones from one to 8, 1 being like the nearest zone to the warehouse, 8 being the longest away so the longest away play from the warehouse, and
79 00:11:07.040 ⇒ 00:11:10.828 Nicolas Sucari: obviously each zone has different pricing along
80 00:11:11.460 ⇒ 00:11:26.100 Nicolas Sucari: each of them. So if you are trying to deliver something to a zone, 8 should be like more more expensive than delivering something to zones 1, 2 and 3, for example, right? So what we are trying to do is to identify which is the place where we need to
81 00:11:26.464 ⇒ 00:11:35.489 Nicolas Sucari: place a new warehouse, so that we can reduce that shipping zones 6, 7, and 8 zones to 1, 2, 3, or 4, for example, right?
82 00:11:35.490 ⇒ 00:11:59.789 Nicolas Sucari: So that is kind of all the analytics that we’re doing. We are trying to identify what we need in the data modeling to create. So that we can do that analysis, we identify that we need longitude and latitude of all shipment orders, or of the warehouses, so that we can calculate the distances and all kind of that. So that is kind of all you needed as a modeling stuff. We are creating the modes we are creating the columns for creating the data, and then we are going to insert that into real.
83 00:11:59.790 ⇒ 00:12:14.699 Nicolas Sucari: We’re gonna have all of those tables into real. And what we use really for that exploration, right? So real, we’re using for that? To answer all of those questions we go quickly into real, and try to use the dimensions that we have created to answer all of those questions.
84 00:12:14.720 ⇒ 00:12:35.279 Nicolas Sucari: Right? For example, on marketing other topic that we’re working on where they they have, like a lot of campaigns. They are receiving a lot of data. They are doing direct mail campaigns. And so we load all of those campaigns into snowflake. And then we create those tables in real, so that we can understand and do some analysis directly in real to understand different things.
85 00:12:37.140 ⇒ 00:12:38.979 Nicolas Sucari: So yeah, that’s how we use real.
86 00:12:39.130 ⇒ 00:12:39.939 Bryce Codell: Okay, so then.
87 00:12:39.940 ⇒ 00:12:50.229 Nicolas Sucari: It’s most for data exploration to answer questions we have metrics and dimensions, and we try to just dig deeper on each of them to understand and answer questions for the client.
88 00:12:50.470 ⇒ 00:13:00.339 Bryce Codell: Yeah, that makes sense. So let me ask a couple of clarifying questions. First, st like, why real for that solution as opposed to evidence.
89 00:13:00.690 ⇒ 00:13:01.600 Nicolas Sucari: So
90 00:13:02.630 ⇒ 00:13:16.869 Nicolas Sucari: setting up evidence. I think it’s a little bit more complicated than real and real, is like, really fast on exploration, like you can click on different dimensions, you can drill down into different things, and it was like, really fast. I I can show you if you want.
91 00:13:17.420 ⇒ 00:13:19.220 Bryce Codell: Yeah, yeah, that would be great if you don’t mind.
92 00:13:19.530 ⇒ 00:13:20.700 Nicolas Sucari: Yeah, yeah, yeah, of course.
93 00:13:21.565 ⇒ 00:13:23.619 Nicolas Sucari: Which I’m like.
94 00:13:23.650 ⇒ 00:13:32.580 Nicolas Sucari: he’s the one who defines. What are the tools I just to let you know. Okay with me. I need to change the account here on real.
95 00:13:32.710 ⇒ 00:13:38.749 Nicolas Sucari: but just to let you know I would. I was not working on like the data world before.
96 00:13:39.119 ⇒ 00:14:07.390 Nicolas Sucari: I was i i i worked for kind of 6, 7 years in software development companies as a project manager. So I don’t. I know I don’t have a like a technical background on how to develop things. But I have like a big understanding of of those things, right like, how the workflows are, what are the different steps we need to do to develop something, to send it to production, to do testing environments.
97 00:14:07.390 ⇒ 00:14:21.708 Nicolas Sucari: All of that. i i i kind of understand all of those things. I cannot code, probably. And on the data side, I’ve been working on some stuff, but I haven’t been working with these tools as now. But yeah, I’m learning a lot.
98 00:14:22.020 ⇒ 00:14:25.369 Bryce Codell: Yeah, there, like in my experience, like
99 00:14:26.001 ⇒ 00:14:37.570 Bryce Codell: like any colleague I’ve ever worked with in the past. Who is like commented about like lack of to experience a certain tools or lack of technical proficiency, like often like.
100 00:14:38.610 ⇒ 00:14:48.420 Bryce Codell: not intentionally, but just like underselling like their durability. I’m certain that you are incredibly capable. With that ability.
101 00:14:48.420 ⇒ 00:15:13.060 Nicolas Sucari: Yeah, I know. I I’m just I mean, I’m learning a lot. I’m trying to keep up to date with all of these tools, these new tools, and I’m always trying to learn. I know a little bit of sequel. So I kind of tried to do my own kind of digging into the data, trying to query some stuff so that I can look into things. But sometimes it’s kind of difficult to me, obviously.
102 00:15:13.680 ⇒ 00:15:14.780 Nicolas Sucari: But yeah.
103 00:15:14.780 ⇒ 00:15:16.809 Bryce Codell: Yeah. And like, at the end of the day, like.
104 00:15:17.350 ⇒ 00:15:18.620 Bryce Codell: we’re like
105 00:15:18.630 ⇒ 00:15:48.310 Bryce Codell: at its core. What we’re doing is solving business problems like real problems and how we solve them is just like dependent on the set of tools that we, as the individual problem, solvers, are most comfortable using and like, there are infinitely many acceptable solutions to the same problem. It’s like, it’s just, can we find one that works for the people who are involved in test with Bill like building the solution and that we’re.
106 00:15:48.310 ⇒ 00:15:48.920 Nicolas Sucari: Yeah.
107 00:15:48.920 ⇒ 00:15:51.900 Bryce Codell: Users who are dealing with the problem. So.
108 00:15:52.220 ⇒ 00:15:53.050 Bryce Codell: yeah.
109 00:15:53.050 ⇒ 00:16:05.099 Nicolas Sucari: Yeah. Yeah. And I think that if you have, like a great understanding of the business of what the client needs to do, you don’t like for my role, I don’t need to know, like the specifics on technical stuff.
110 00:16:05.434 ⇒ 00:16:19.990 Nicolas Sucari: but having like that, like big picture of what we are trying to do and how we are trying to do things works to me so that I can communicate to the client I can communicate to the team. I I know where we’re standing on different tasks. And that’s how things
111 00:16:20.180 ⇒ 00:16:22.240 Nicolas Sucari: probably are going to work and
112 00:16:22.590 ⇒ 00:16:24.640 Nicolas Sucari: labor best product to the client.
113 00:16:24.670 ⇒ 00:16:25.750 Nicolas Sucari: Yeah, yep.
114 00:16:26.370 ⇒ 00:16:33.630 Nicolas Sucari: okay, you’re looking real. This is real. Can you see, like all of these are all of the dashboards that we have created
115 00:16:33.820 ⇒ 00:16:34.490 Nicolas Sucari: here?
116 00:16:35.360 ⇒ 00:16:40.489 Nicolas Sucari: These are all of the dashboards. So, for example, we have created one for shipments.
117 00:16:41.530 ⇒ 00:16:43.380 Nicolas Sucari: and we can see here
118 00:16:43.870 ⇒ 00:16:51.939 Nicolas Sucari: move this window. We can see here, like all of our measures like, how? What are the amount of total shipping, maximum shipping weight.
119 00:16:51.950 ⇒ 00:17:02.449 Nicolas Sucari: the total shipment, that is, this is for the last month, and probably, if you want to go just for all time. I just click here this loads. And this is like the speed that is
120 00:17:02.690 ⇒ 00:17:07.350 Nicolas Sucari: quite impressive for that exploration, and that this is why we are doing like
121 00:17:07.798 ⇒ 00:17:25.321 Nicolas Sucari: we are using real to do kind of all of these expressions. If I wanna see, for example, what was shipped by ups. I just click here it filters down all of the dimensions, all of the measures, and we can drill down on everything. So this is kind of why we are using
122 00:17:25.750 ⇒ 00:17:52.349 Nicolas Sucari: the while we’re using real right? I, I can go. And I can see, okay, what are we shipping into? Zone. 8. Okay, I click here. This is ups zone 8. And you can see here the filters, and you can easily drill down on stuff. And you can see different things. We can change these from total shipping amounts to. Yeah, total orders. And everything’s gonna change. And I say, okay, we’re shipping 1.8
123 00:17:52.460 ⇒ 00:17:54.929 Nicolas Sucari: 1,000
124 00:17:55.440 ⇒ 00:17:56.870 Nicolas Sucari: yeah. Orders
125 00:17:56.890 ⇒ 00:18:21.150 Nicolas Sucari: with ups to the zone. 8, so that I can yeah, easily change these filter down and go like, I don’t know I want to see. This is this is sending from the Efank warehouse. The source of the earners are from Amazon and shopify. If I want to see only the Amazon ones. I just click here I see only the numbers for Amazon. So this is kind of why we use real for exploration. I think.
126 00:18:21.150 ⇒ 00:18:21.940 Bryce Codell: Yeah, you can.
127 00:18:21.940 ⇒ 00:18:35.409 Nicolas Sucari: Compare stuff. Yeah. So it’s it’s totally great. And, as you see, like, I click things and things like refresh super quickly. And I don’t think like you have other tools that can do that super. Quick as these ones.
128 00:18:35.410 ⇒ 00:18:36.070 Bryce Codell: Yeah.
129 00:18:36.240 ⇒ 00:18:37.200 Bryce Codell: yeah, so.
130 00:18:37.200 ⇒ 00:18:37.800 Nicolas Sucari: And.
131 00:18:38.050 ⇒ 00:18:42.926 Bryce Codell: Sorry. Can you go back to the what was the dashboard that we were first, st that we were just.
132 00:18:43.170 ⇒ 00:18:44.300 Nicolas Sucari: Events. Yeah.
133 00:18:44.300 ⇒ 00:18:52.229 Bryce Codell: So see how in the in the like, the drill down tables to the right, you have showing total orders.
134 00:18:52.450 ⇒ 00:18:53.820 Bryce Codell: So yeah.
135 00:18:53.830 ⇒ 00:19:00.210 Bryce Codell: so just to make sure I understand the way this content is laid out on the left. Are these like? Are all of the key metrics.
136 00:19:00.590 ⇒ 00:19:00.970 Nicolas Sucari: Measures.
137 00:19:01.270 ⇒ 00:19:11.439 Bryce Codell: And then and then on the right, you can look at one of those specific metrics, and drill in and drill into it by all the different dimensions of interest. Right?
138 00:19:12.209 ⇒ 00:19:16.700 Bryce Codell: Okay? So right? So if, like, someone is looking at
139 00:19:16.720 ⇒ 00:19:33.780 Bryce Codell: like total shipping amount. And they’re like, Oh, why, like, I see this like downward trend in the last couple of weeks, or the last couple of months like, let me look into that. The way that they would do that is, by going over to that dropdown on the right, that where it says showing total orders and they’ll change it to showing total shipping amount.
140 00:19:34.430 ⇒ 00:19:35.080 Bryce Codell: I’ve got this.
141 00:19:35.080 ⇒ 00:19:41.019 Nicolas Sucari: Yeah. But this is the same. The these will only change on the like. These numbers, right?
142 00:19:42.540 ⇒ 00:20:05.629 Bryce Codell: yeah, okay, yeah. But then, yeah, this is the way that they would say, like, Okay, why like, where can I look to see where things are trending down in an unexpected, in a potentially unexpected way. Or go ahead. Okay, cool. This is, yeah. This is awesome. Can I ask a follow up question about your like, your your current analysis. Work around where to open new warehouses?
143 00:20:06.116 ⇒ 00:20:15.289 Bryce Codell: So you said that you were going to expose that in a in real, in a dashboard. I’m curious like.
144 00:20:15.980 ⇒ 00:20:34.159 Bryce Codell: so that this sounds like a really important decision for cool parts to get right, and it also sounds like a decision that they probably won’t make very often, maybe, like once every year, once every couple of years, once every half a year at most.
145 00:20:34.410 ⇒ 00:20:43.899 Bryce Codell: So I’m curious how your team thinks about like delivering this as a dashboard, as opposed to like a more bespoke report, with like
146 00:20:43.940 ⇒ 00:21:01.640 Bryce Codell: with like custom, certain custom visualizations like, especially because, like, there’s a lot of data that you’re gonna be working with for this this scenario like, how does your team make the decision of like, what are we gonna build as a dashboard versus? What are we gonna build as custom? My guess is, part of it is based on, like the visualizations that you want to present. If it does.
147 00:21:01.640 ⇒ 00:21:02.190 Nicolas Sucari: Yeah.
148 00:21:02.190 ⇒ 00:21:03.319 Bryce Codell: Well, doesn’t. Yeah.
149 00:21:03.320 ⇒ 00:21:20.040 Nicolas Sucari: I mean what we create as tables and animals. Everything gets into real because it’s easy for exploration. But we’re still defining how we want to deliver that to the clients. Right? We haven’t like nailed down on how to deliver these. What I’m showing now is evidence.
150 00:21:20.512 ⇒ 00:21:22.929 Nicolas Sucari: Evidence is kind of a more
151 00:21:23.030 ⇒ 00:21:43.560 Nicolas Sucari: like it’s like to to show the clients our analysis in a more business like nicer way. Right? So, for example, a couple of months ago, utam on the team was doing some analysis on returns and refunds, impacts. And like, they created this document where you can see the live information. But we can also like
152 00:21:43.880 ⇒ 00:21:54.989 Nicolas Sucari: describe a little a little bit more. I’m a little a little bit more thorough. What we’ve been doing and what you are seeing here in a more kind of business report way for the client.
153 00:21:55.000 ⇒ 00:21:59.599 Nicolas Sucari: So that’s why, like, I think, like the workflow needs to be
154 00:21:59.740 ⇒ 00:22:16.649 Nicolas Sucari: where we identify, what is the issue, or what is the request that the client is asking? We go to the engineering side and modeling stuff, we create the data that we need. We get that into real. We do. The expiration and the last mile should be here in evidence so that we can deliver this report right?
155 00:22:17.717 ⇒ 00:22:33.590 Nicolas Sucari: I don’t know if you have like a different idea of process, or something that you probably work with and tried and worked before. Obviously, we’re open to other ideas. But I think I if I’m like the CEO or
156 00:22:33.600 ⇒ 00:22:47.080 Nicolas Sucari: someone important in the company, I won’t be going into real every day to drill down to see one of those informations. But I would like to have like this report in order to easily read what’s going on, and why we are taking this decision.
157 00:22:47.080 ⇒ 00:22:57.841 Bryce Codell: Yeah, for sure. So a couple of components that come to mind honestly that I think the biggest one is probably how pricing would work for analysis services like
158 00:22:58.762 ⇒ 00:23:02.529 Bryce Codell: a little bit torn, because, on one hand, like the like.
159 00:23:02.640 ⇒ 00:23:12.470 Bryce Codell: So I I, for one, off analyses like this. I definitely do prefer this structure, the one that you’re showing me right now, with, like the more kind of formalized, write up and layout.
160 00:23:12.470 ⇒ 00:23:12.970 Nicolas Sucari: Yeah.
161 00:23:12.970 ⇒ 00:23:17.639 Bryce Codell: It’s like, really crisp. It’s really intentional, and it’s really thorough.
162 00:23:18.295 ⇒ 00:23:22.735 Bryce Codell: And so I’m like, thoughtfully and eloquently articulated
163 00:23:23.750 ⇒ 00:23:28.710 Bryce Codell: And while that does take tends to take a little bit more elbow grease, upfront.
164 00:23:28.710 ⇒ 00:23:31.580 Nicolas Sucari: It’s kind of more professional.
165 00:23:31.580 ⇒ 00:23:45.009 Bryce Codell: It feels more professional. But also it’s it’s a 1 time effort. And so like once this is delivered like the work is done, and if the and like, if there’s more work to be done like, it can be treated as like a separate statement of work, basically
166 00:23:45.230 ⇒ 00:23:46.630 Bryce Codell: where like.
167 00:23:46.700 ⇒ 00:24:03.493 Bryce Codell: if this becomes like. So it’s like a tricky and kind of like blurred dynamic, of like being able to tease out from the client. If the need is to make this decision on a repeated basis or on an infrequent one off basis. And so, yeah, I think I would personally
168 00:24:03.930 ⇒ 00:24:04.770 Bryce Codell: like.
169 00:24:05.510 ⇒ 00:24:08.709 Bryce Codell: I would make the argument. Like.
170 00:24:08.930 ⇒ 00:24:35.620 Bryce Codell: I’m a little torn about how to like price, like dashboards as analysis output versus like one off analysis as analysis output, because a 1 off analysis. It’s like we agree to a rate upfront, and then we like do the. And then we do the the work with move on. But with a dashboard. There’s like, always risk of like scope, creep of like. Oh, can you add this thing to like this dashboard, or what have you? And so I’m always like there’s probably always gonna be some upfront
171 00:24:35.630 ⇒ 00:25:01.342 Bryce Codell: development work. And if you’re gonna like, pay for a dash like, have us implement a dashboard that you’re gonna use repeatedly like there is probably some like recurring revenue dynamic that might be worthwhile. If not, if we’re not, if for no reason other than to just also like, discourage the client from getting into a world of dashboard sprawl. I don’t know if you’re familiar with that term
172 00:25:02.260 ⇒ 00:25:17.830 Bryce Codell: in like the or that phrasing in like the data world. But like, when companies invest in their like, be like business intelligence tools. And then they bring on like a data, scientist or data analyst. What often happens is that analyst will just start building dashboards as their like default solution.
173 00:25:17.830 ⇒ 00:25:18.440 Nicolas Sucari: Yeah, yeah.
174 00:25:18.700 ⇒ 00:25:25.109 Bryce Codell: To every task, and then there becomes so many dashboards in a space that, like new people who come on, they have no.
175 00:25:25.110 ⇒ 00:25:27.769 Nicolas Sucari: Well, answer. Question. Yeah.
176 00:25:27.770 ⇒ 00:25:37.659 Bryce Codell: You guys are doing a you guys are doing a really good job of like keeping the list relatively finite, like, I think you have, like maybe 10 or 15, and also like.
177 00:25:37.660 ⇒ 00:25:50.699 Nicolas Sucari: Yeah. But E, even though E, all of that that we have probably needs to be cleaned. And like, we just need to understand what is this is. Let me see where it was. Yeah, here.
178 00:25:50.970 ⇒ 00:26:11.430 Nicolas Sucari: like we, we have, like all of these dashboards, but probably we don’t need so many of them. We need to clean these. We are just like adding these ones that are for the marketing people so that they can have, like their weekly reports here, and they have, like just only one place to go and see all of their information. And we want to do that for shipping, and for like kind of
179 00:26:11.850 ⇒ 00:26:18.993 Nicolas Sucari: a more broadly report for sales information at that report as it is like just
180 00:26:19.734 ⇒ 00:26:43.270 Nicolas Sucari: for the CEO and the stuff we are trying to do it in evidence. So that’s what we are trying to identify, which ones should go in here, so that every day for, so that for the people that needs to go and explore, that every day they can go into real and see all of the data and drill down and do the stuff. But people that just need to see the key metrics, and probably some less information. And just to make the right decisions
181 00:26:43.270 ⇒ 00:26:44.630 Nicolas Sucari: going into evidence.
182 00:26:44.630 ⇒ 00:27:02.140 Nicolas Sucari: That’s what we are trying to do. Obviously, we can continue to change this. It’s open to discussion always. But yeah, I think we need to keep it simple and just work with, we need to identify what are the needs for the different people that we are interacting with.
183 00:27:02.440 ⇒ 00:27:03.690 Bryce Codell: Yeah, yeah.
184 00:27:03.760 ⇒ 00:27:08.280 Bryce Codell: that makes that makes a ton of sense. So, okay.
185 00:27:08.310 ⇒ 00:27:18.720 Bryce Codell: this is all well and good. This is awesome and incredibly informative. Also, I wanna be kind of considerate of your time. I know you only blocked us off for a half hour. Do you have something at right after this, or.
186 00:27:18.720 ⇒ 00:27:19.260 Nicolas Sucari: That.
187 00:27:19.260 ⇒ 00:27:19.830 Bryce Codell: A little bit.
188 00:27:19.830 ⇒ 00:27:26.059 Nicolas Sucari: No, no, no, no, yeah, yeah, we can. We can extend it a little bit. I don’t have anything after right after the meeting.
189 00:27:26.380 ⇒ 00:27:31.367 Bryce Codell: Thank you, man, I appreciate it. I will shamelessly take you up on that. So.
190 00:27:31.700 ⇒ 00:27:33.436 Nicolas Sucari: Just one more thing.
191 00:27:33.940 ⇒ 00:27:55.859 Nicolas Sucari: what you were talking about, the pricing, and how we are pricing dashboards and the analysis. I don’t think we are like having like a flat rate for like creating one dashboard. And that’s it. It’s more kind of an hourly rate for the work. I think you can discuss that with Tom, if that’s like the best approach or not. But yeah, he’s managing all of that.
192 00:27:56.160 ⇒ 00:28:04.340 Bryce Codell: Yeah, that’s thank you for that context. That’s helpful to know. That’s something that I’ll be sure to bring up with Tom as a as a subcontractor like how important.
193 00:28:04.340 ⇒ 00:28:05.060 Nicolas Sucari: Yeah.
194 00:28:05.060 ⇒ 00:28:15.819 Bryce Codell: Yeah, it’s helpful to just hear that, like, your team is also constantly thinking about, like, what is the right format of the output that we’re going to provide as the deliverable for this work.
195 00:28:16.030 ⇒ 00:28:16.810 Bryce Codell: The.
196 00:28:16.810 ⇒ 00:28:20.410 Nicolas Sucari: I mean, yeah, we need to. We haven’t
197 00:28:21.287 ⇒ 00:28:39.170 Nicolas Sucari: agreed on what are exactly the delivery that we need. We’re just kind of starting to have, like a more fluid conversation with the people on pull parts, and try to identify like more requests from them what we can be working on until now, I think there was just kind of specific
198 00:28:39.710 ⇒ 00:28:56.730 Nicolas Sucari: topics that utam was working with them. But yeah, we need to have that conversation a little bit more fluid, understand what are the requests, what we can work with them, and so that we can keep it like in a week to week basis. And yeah, continue the communications and understanding and create like more backlog. Right now.
199 00:28:56.730 ⇒ 00:28:57.300 Bryce Codell: Yeah.
200 00:28:58.392 ⇒ 00:29:09.260 Bryce Codell: that makes a ton of sense. Okay? So on the subject, getting into the nuts and bolts. So obviously, your team has
201 00:29:09.750 ⇒ 00:29:15.730 Bryce Codell: is off and running on the like new warehouse opening analysis. So.
202 00:29:16.190 ⇒ 00:29:20.074 Nicolas Sucari: Right now. Yeah, we, the team has, like,
203 00:29:20.600 ⇒ 00:29:21.870 Nicolas Sucari: 3 or 4 people.
204 00:29:21.930 ⇒ 00:29:27.557 Nicolas Sucari: The analysis Jacob is doing. All of the analysis is like our analyst.
205 00:29:28.140 ⇒ 00:29:38.415 Nicolas Sucari: he worked. He’s now working on all of the shipping. Yeah, where where to open this new warehouse with a lot of the information. But the Ae team
206 00:29:38.880 ⇒ 00:29:57.460 Nicolas Sucari: and the analytics engineering is is Brian working on all of this data modeling. And also Ryan. We have 2 people there, and then on the data engineering team is Patrick working on creating all of the like automations, the integrations where we need to get new data and all of that stuff.
207 00:29:58.430 ⇒ 00:30:02.440 Nicolas Sucari: So finally, it’s kind of 4 people and do some working on on all of that.
208 00:30:02.600 ⇒ 00:30:18.931 Bryce Codell: Okay, that makes sense. So where I, where Tom and I talked about me slotting in was not necessarily an analyses that your team is actively working on, and that you’ve already given that your team is committed to with the
209 00:30:19.670 ⇒ 00:30:36.200 Bryce Codell: with with the your partners at real. But to talk through examples analyses that maybe you, as the product manager, have heard from the real team like, oh, we would be interested in knowing this, or we want to be able to look into that at some point.
210 00:30:36.550 ⇒ 00:30:46.469 Bryce Codell: But that your team has not necessarily committed to yet, and doesn’t have the bandwidth to explore. And even if it’s just in passing like this is more kind of like
211 00:30:46.860 ⇒ 00:31:07.539 Bryce Codell: ideas around analyses that we could do proactively and then tease and like, and that I will do, then do independently, like I. And I can like cover everything. If there’s data modeling that needs to be done, I can do it. If there’s automation and integration work that needs to be done, I can do that stuff as well, and then we can like
212 00:31:07.780 ⇒ 00:31:15.690 Bryce Codell: put together a proof of concept for an output, and just kind of like, tease it to them and shop it around and say, like, Hey, is this something that you might be interested in
213 00:31:16.263 ⇒ 00:31:35.059 Bryce Codell: and and then if they say yes, then we can like figure out a contract, and that’s when I I like. I’ll get paid. But this is just as much for me to like. Go through the proof of concept to see if my like. If my workflow really does scale the way that I believe that it will. And so that’s where like.
214 00:31:35.200 ⇒ 00:31:38.419 Bryce Codell: that’s where the like. The mutual benefit between
215 00:31:38.490 ⇒ 00:31:49.894 Bryce Codell: brain forge and myself makes the most sense is to like, take on work that your team hasn’t already committed to, because I don’t wanna be eating hours that your engineers have already been assigned
216 00:31:50.360 ⇒ 00:31:55.350 Bryce Codell: and like I don’t. And we I also don’t want brain force to be like
217 00:31:55.580 ⇒ 00:32:01.269 Bryce Codell: spending time and money and effort on work where they might not get a return on that investment.
218 00:32:01.570 ⇒ 00:32:06.560 Nicolas Sucari: Yeah, yeah, okay, okay, I get it. Yeah, I’m not sure if we have like something.
219 00:32:06.810 ⇒ 00:32:07.860 Nicolas Sucari: the
220 00:32:07.940 ⇒ 00:32:19.610 Nicolas Sucari: but yeah, probably like, we’re trying to do some sales analysis, some yeah marketing and customers analysis on how we are doing some things. Probably we need to discuss that with some and he will.
221 00:32:19.710 ⇒ 00:32:25.589 Nicolas Sucari: Yeah, he will clearly give us something to that you can start working on and try to do that proof of concept. Yeah.
222 00:32:25.720 ⇒ 00:32:30.949 Bryce Codell: Yeah, so can you, can you elaborate a little more on the sales and marketing analyses.
223 00:32:31.610 ⇒ 00:32:44.199 Nicolas Sucari: So right now we are. As I told you, we’re working on opening that new warehouse we open. We worked last week and a couple of weeks ago on identifying pros.
224 00:32:44.620 ⇒ 00:32:54.762 Nicolas Sucari: prose customers that are buying like, yeah. More, they are ordering more products trying to resell them afterwards.
225 00:32:55.480 ⇒ 00:33:23.410 Nicolas Sucari: so we identify. We created like a new flag for pros that were was kind of like a something specific of analysis that we’ve been doing. But we don’t have, like like an evidence page like that report where we are saying, Okay, how were sales going this month? What is the difference between things that we’ve been doing this month against the same month last year? Or where were those changes trying to like? Have something easily to understand why there were fluctuations on
226 00:33:23.410 ⇒ 00:33:42.609 Nicolas Sucari: the amount of orders, or where they are ordering from, where their shipments are coming from, and why the shipment cost has increased or decreased. So kind of like that report is what we are trying to to start working on. So that we can have like a clear idea on when.
227 00:33:42.610 ⇒ 00:34:00.477 Nicolas Sucari: like, yeah, a clear idea on profit on what includes the profit like, okay, we have sales. We have shipment costs. We have marketing costs, and we have something else, probably there. And we can have, like that amount of sales. And finally, what what is the profit that we are getting each of the different months.
228 00:34:00.780 ⇒ 00:34:13.710 Nicolas Sucari: and how to compare that with previous year, to see why we are changing and easily understanding what were the changes and what we did differently, so that we have like more profits or less profit. And we can just explain the numbers right.
229 00:34:14.060 ⇒ 00:34:14.760 Bryce Codell: Yeah.
230 00:34:14.760 ⇒ 00:34:44.660 Nicolas Sucari: So that should be kind of we we I think we have, like all of the information, ready to start to do that analysis, but probably we was we weren’t having that time to start working on specifically looking at the information so that we can create that report and finally sharing with the client. Probably that would be like super helpful for them to easily go into one report, see the sales, information. The shipment cost, information, everything in one place and finally getting to okay, how much profit are we getting.
231 00:34:46.070 ⇒ 00:34:57.239 Bryce Codell: Okay, so yeah, so like explaining metric fluctuations over time in the key. And so remind me again, what’s the name of the key sales dashboard that the team references.
232 00:34:59.223 ⇒ 00:35:02.050 Nicolas Sucari: Okay, let me see, this is in real.
233 00:35:07.977 ⇒ 00:35:10.999 Nicolas Sucari: Give me a minute. Can’t open it here.
234 00:35:12.030 ⇒ 00:35:12.900 Nicolas Sucari: Yeah.
235 00:35:13.060 ⇒ 00:35:24.289 Nicolas Sucari: So we have one that says all orders where we have the average total sales, all of the orders, and a lot of metrics that you can dig into.
236 00:35:24.650 ⇒ 00:35:26.419 Bryce Codell: Okay, perfect. Yeah. I’m.
237 00:35:26.420 ⇒ 00:35:29.590 Nicolas Sucari: Or all other items, too. Yeah, you have, like a lot of information.
238 00:35:29.590 ⇒ 00:35:40.070 Bryce Codell: Okay? And then can you point me in the direction of the the data that is, or like the pipelines that are powering those dashboards.
239 00:35:40.992 ⇒ 00:35:46.640 Bryce Codell: If you’re open to taking a few minutes to just like walk through the Github Repo, we can talk through.
240 00:35:46.640 ⇒ 00:35:47.560 Nicolas Sucari: Yeah.
241 00:35:47.780 ⇒ 00:35:55.322 Nicolas Sucari: let me see if I can open that. I’m not sure I can be able to understand it easily. But I’m gonna try.
242 00:35:55.650 ⇒ 00:36:05.409 Bryce Codell: That’s totally fine. If you think it would be better for me to ask some of the like. I do want to get fairly technical on like the and some of the pipeline. So if you think it would be better for me to ask.
243 00:36:05.410 ⇒ 00:36:06.960 Nicolas Sucari: I think. Yeah.
244 00:36:07.180 ⇒ 00:36:10.599 Nicolas Sucari: I think it would be easier, and probably
245 00:36:10.650 ⇒ 00:36:15.609 Nicolas Sucari: much more useful for you to get some time with Patrick. I can ask him if he’s available.
246 00:36:15.690 ⇒ 00:36:16.870 Nicolas Sucari: If you go again.
247 00:36:16.870 ⇒ 00:36:19.390 Bryce Codell: I, Patrick and I know each other pretty well, so I can probably.
248 00:36:19.390 ⇒ 00:36:20.040 Nicolas Sucari: Now, but.
249 00:36:20.050 ⇒ 00:36:21.599 Bryce Codell: Then, yeah. Yeah.
250 00:36:21.600 ⇒ 00:36:36.510 Nicolas Sucari: And and if you want, It would be super super useful for me, too, if yeah, I can participate in that meeting, too, so that I can continue to learn. As I said, I just joined a month ago, and I’m trying to catch up with everything. So yeah, I’m trying to learn as much as I can in the process.
251 00:36:36.510 ⇒ 00:36:38.309 Bryce Codell: Yeah, yeah, for sure.
252 00:36:38.310 ⇒ 00:36:43.850 Nicolas Sucari: Yeah, I think with Patrick. Or, yeah, probably Brian can let us know how we are
253 00:36:44.170 ⇒ 00:36:46.890 Nicolas Sucari: using all of that information. And we’re we’re
254 00:36:47.635 ⇒ 00:36:48.020 Nicolas Sucari: tables.
255 00:36:48.020 ⇒ 00:36:49.249 Bryce Codell: Brian pay right.
256 00:36:49.530 ⇒ 00:36:50.090 Nicolas Sucari: Yeah.
257 00:36:50.090 ⇒ 00:36:53.945 Bryce Codell: Wonderful. Yeah, Brad P. Pay and I work together. We work as well. So yeah, it’s a whole
258 00:36:54.480 ⇒ 00:37:13.629 Bryce Codell: one. Big, happy family. Yeah, this is awesome. So okay, cool, I will follow up with both of them, and then we’ll try to find some time that works for all of us in the event that, like we like jump on a call like a little bit ad hoc. I’ll just ping you to see if you’re available.
259 00:37:13.630 ⇒ 00:37:15.099 Nicolas Sucari: Yeah, yeah, absolutely.
260 00:37:15.339 ⇒ 00:37:23.480 Bryce Codell: Then we’ll just record the call and make sure that you get access to it so that you can hear what like be like a proverbial fly on the wall. Here what was said
261 00:37:24.170 ⇒ 00:37:24.660 Bryce Codell: perfect.
262 00:37:24.760 ⇒ 00:37:39.019 Nicolas Sucari: Just let me know if you want. I can create those meetings. Yeah, and you can just hop on. Let me know your availability, or I can just ping Patrick and Brian and see if we can get all of us in one call and go through everything.
263 00:37:39.320 ⇒ 00:37:45.935 Bryce Codell: Yeah. Yeah, sure, I can just spin up the group, chat and just see and do it that way that works even better.
264 00:37:47.564 ⇒ 00:37:50.860 Bryce Codell: Oh, purpose! Timing is.
265 00:37:50.860 ⇒ 00:37:51.570 Nicolas Sucari: Yeah.
266 00:37:52.549 ⇒ 00:37:58.489 Bryce Codell: What is it sharing 2 tests? It seems like you’ve done is about to send another another message.
267 00:38:00.880 ⇒ 00:38:04.425 Bryce Codell: to. Yeah. If you just saw his ping in slack.
268 00:38:05.800 ⇒ 00:38:09.300 Bryce Codell: yeah, so that will be very helpful.
269 00:38:10.970 ⇒ 00:38:11.720 Nicolas Sucari: Yeah.
270 00:38:11.720 ⇒ 00:38:15.909 Bryce Codell: So, okay, this is, this is great. So it sounds like
271 00:38:16.740 ⇒ 00:38:28.969 Bryce Codell: explainability around fluctuations, in trends, in, in like sales and marketing. Kpis are going to be what’s most like, most pertinent.
272 00:38:29.938 ⇒ 00:38:32.569 Bryce Codell: Yeah, okay, that is.
273 00:38:33.360 ⇒ 00:38:35.340 Bryce Codell: I can do that. Yeah.
274 00:38:36.470 ⇒ 00:38:57.310 Nicolas Sucari: I think you are. I mean, if you are yeah, I think you will be super able to do that. If we have the right information. I think we have all the information needed to do that. It’s just that we didn’t got time to just sit and try to go through everything, create that report, and see how it looks, and share that with the with the client. But I think that would be super useful, and it will like.
275 00:38:57.650 ⇒ 00:39:12.699 Nicolas Sucari: try to get us closer to the client on, hey, start using this. This is where you can find all of the information that you have. Obviously, we will need to rely on that. The data is accurate. But I think we can do that. So yeah, totally.
276 00:39:13.290 ⇒ 00:39:30.870 Bryce Codell: Cool. Okay, that is awesome. I’m very. I’m very excited about this. Let’s let’s table our conversation, for now we can jump on the slack and try to figure out who the right person to loop in for the deep. Dive on the data pipelines, and then and we’ll see what the time has to say as well, and then
277 00:39:31.540 ⇒ 00:39:34.530 Bryce Codell: We will. We’ll go from there.
278 00:39:35.120 ⇒ 00:39:38.924 Nicolas Sucari: Yeah, of course. And also I’m working with them to like
279 00:39:39.460 ⇒ 00:39:55.310 Nicolas Sucari: Order a little bit more on the meetings that we’re having on the week during the week. So probably we’ll be inviting you to some meetings so that you can start to. Yeah, participate in of the work that we are doing. We have, like an analyst planning session on Mondays.
280 00:39:55.958 ⇒ 00:40:21.889 Nicolas Sucari: Probably I will include it into that one, too. Where we are trying to plan the week on what we were doing on each of the different disciplines on that engineering analytic engineering. So yeah, probably that will be super helpful. And yeah, we’ll we’ll have that one Monday and I, usually I usually meet with them before those meetings so that we can prepare like what we are trying to achieve. On each of the different weeks.
281 00:40:22.060 ⇒ 00:40:26.990 Bryce Codell: Yeah, sweet, that makes a ton of sense to me. So.
282 00:40:27.420 ⇒ 00:40:27.850 Nicolas Sucari: And
283 00:40:28.060 ⇒ 00:40:47.049 Nicolas Sucari: everything that you just are kind to if you’re looking into stuff. And you think that there is a better way on workflow on how we’re doing stuff, or in a different process, to do different things. Let me know. I’m totally open to discussion, to understand, to try new things
284 00:40:47.373 ⇒ 00:41:06.470 Nicolas Sucari: we are using a bot in order to. We’re we’re not having, like daily stand ups meetings anymore. We’re using like a slack bot that sends a message to everyone. And just, it’s easier. So we are not spending so much time in meetings. I know that meetings are yeah, are not the best thing for everyone. So
285 00:41:06.800 ⇒ 00:41:20.739 Nicolas Sucari: yeah, we’re trying to meet during the week in order to solve specific issues, to discuss specific things, to understand and try to work on stuff, but not spend more. A lot of time like giving status.
286 00:41:20.740 ⇒ 00:41:21.550 Bryce Codell: The season’s a bad day.
287 00:41:22.689 ⇒ 00:41:23.829 Nicolas Sucari: Yeah, exactly.
288 00:41:25.330 ⇒ 00:41:33.809 Nicolas Sucari: But yeah, but any anything that you want like to to try to improve that you think we can do differently. Let me know. I can try it out.
289 00:41:34.030 ⇒ 00:41:51.440 Bryce Codell: Yeah, I appreci one. I appreciate that perspective, too. I appreciate the openness. 3. I will definitely do that, because this experience for me is to try to prove that my like somewhat orthogonal preferences to how to do data work effectively and efficiently.
290 00:41:51.440 ⇒ 00:41:51.910 Nicolas Sucari: Perfect. Yeah.
291 00:41:51.910 ⇒ 00:42:07.840 Bryce Codell: Is actually more productive than like a lot of like the status quo experiences I’ve had in the past. And so like one of the ideal output, like one of the one of the goals of this partnership, is to discover what does actually work better and then share those learnings with the group.
292 00:42:08.170 ⇒ 00:42:08.830 Bryce Codell: So.
293 00:42:08.830 ⇒ 00:42:18.960 Nicolas Sucari: Perfect. Yeah, yeah. And as I said, I, I mean, I worked in software engineering companies for quite a long time. I know what works for them. But that engineering is different.
294 00:42:19.364 ⇒ 00:42:28.730 Nicolas Sucari: Is different. And the delivery yeah, the work process is different. The delivery to the client is different. And so yeah, I’m also trying to
295 00:42:28.800 ⇒ 00:42:36.830 Nicolas Sucari: to to understand what works here and what doesn’t work here. So yeah, it’s it’s okay. And I’m open to try new things.
296 00:42:37.118 ⇒ 00:42:41.440 Bryce Codell: Alright, yeah. Awesome man. I’m excited to work together. This can be a lot, fun.
297 00:42:42.230 ⇒ 00:42:48.239 Nicolas Sucari: Excellent. Okay, thank you, Bryce. Let me know if you need anything. Just ping me slack. We can talk there.
298 00:42:48.540 ⇒ 00:42:50.270 Bryce Codell: Good Nico. We will talk soon.
299 00:42:51.400 ⇒ 00:42:52.060 Nicolas Sucari: Bye, bye.
300 00:42:52.580 ⇒ 00:42:53.210 Bryce Codell: Bye.