Meeting Title: Brainforge Eden Data Sync Date: 2026-03-24 Meeting participants: Greg Stoutenburg, Demilade Agboola
WEBVTT
1 00:00:43.480 ⇒ 00:00:44.800 Greg Stoutenburg: Oh, hey!
2 00:00:45.370 ⇒ 00:00:46.150 Demilade Agboola: Hi, Greg.
3 00:00:46.150 ⇒ 00:00:47.740 Greg Stoutenburg: Oh, hey, how’s it going today?
4 00:00:47.740 ⇒ 00:00:59.090 Demilade Agboola: Pretty good. So I want to be very clear on this, and that’s why I’m coddling, so it’d be faster. I don’t see a world in which numbers are static, because let me share my screen and explain why I say that.
5 00:00:59.090 ⇒ 00:01:00.379 Greg Stoutenburg: Yeah. Okay.
6 00:01:03.310 ⇒ 00:01:07.100 Demilade Agboola: the entire way data is captured in Eden means that
7 00:01:07.460 ⇒ 00:01:11.570 Demilade Agboola: For every transaction that occurs, there’s always a current status.
8 00:01:11.960 ⇒ 00:01:12.880 Demilade Agboola: Yep.
9 00:01:15.050 ⇒ 00:01:16.820 Demilade Agboola: Or every order that occurs.
10 00:01:16.960 ⇒ 00:01:19.170 Demilade Agboola: So it could be sent to pharmacy.
11 00:01:20.070 ⇒ 00:01:29.460 Demilade Agboola: it could be pending, it could be abandoned, it could be shipped, it could be… I’m not sure what this is, but we’ll have to look into that. And then it could be completed, which makes a lot of sense.
12 00:01:29.850 ⇒ 00:01:34.800 Demilade Agboola: But here’s the thing, if I say, like, hey, we’re going to only use computer transactions for this.
13 00:01:34.910 ⇒ 00:01:40.819 Demilade Agboola: So that we only ensure that the numbers we’re seeing are the completed transactions. The problem is…
14 00:01:42.560 ⇒ 00:01:43.790 Demilade Agboola: I’m not exactly sure.
15 00:01:45.800 ⇒ 00:01:46.550 Demilade Agboola: That is.
16 00:01:46.920 ⇒ 00:01:50.630 Demilade Agboola: The problem is, if we say, everything is…
17 00:01:50.880 ⇒ 00:01:52.820 Demilade Agboola: Only going to be close to…
18 00:01:58.050 ⇒ 00:02:01.590 Demilade Agboola: This is… Orders, okay…
19 00:02:05.360 ⇒ 00:02:08.660 Demilade Agboola: Sorry, I think Center Pharmacy is probably where most of them are.
20 00:02:08.979 ⇒ 00:02:12.569 Demilade Agboola: were shipped. Yeah, okay, yeah. A lot of them are shipped, sent to pharmacy.
21 00:02:12.890 ⇒ 00:02:27.770 Demilade Agboola: The point… the problem with that, though, is if we decide to use any status, status is changed. So even if I say, like, hey, let’s look at the completed, or the only ones that have been shipped or sent to pharmacy, right? And we say, hey, these are the only ones we care to see.
22 00:02:28.390 ⇒ 00:02:38.149 Demilade Agboola: That means transactions or orders that happened yesterday that were abandoned or pending, when they eventually hit a new stage, it will reflect yesterday.
23 00:02:39.800 ⇒ 00:02:47.820 Demilade Agboola: it wouldn’t reflect today. It would reflect as the order from yesterday that is now completed, or is now,
24 00:02:48.500 ⇒ 00:03:01.659 Demilade Agboola: whatever the stage is. It’s now been shipped, or it’s now been, that. So that’s the issue. That’s why the numbers are changing. That’s why, like, when he said the numbers didn’t change before, I was like, that’s not true. They always did change.
25 00:03:01.920 ⇒ 00:03:11.029 Demilade Agboola: The rate of change, especially as the dates go back, reduces, because the most volatile pending slash abandoned will be the first couple of days.
26 00:03:11.110 ⇒ 00:03:21.980 Demilade Agboola: But, like, obviously, as you go further back, it starts to stabilize, and you’re not so worried about fallout. Maybe one or two others might change, but nothing drastic like 10 or 20 or 30, potentially.
27 00:03:22.070 ⇒ 00:03:27.759 Demilade Agboola: But yeah, that’s always been a thing. So that’s why I’m a bit confused by, like, oh…
28 00:03:28.690 ⇒ 00:03:31.249 Demilade Agboola: How can we make sure that it doesn’t change?
29 00:03:31.990 ⇒ 00:03:32.660 Greg Stoutenburg: Right.
30 00:03:34.020 ⇒ 00:03:45.020 Greg Stoutenburg: Okay, and the only alternative would be to look only at completed orders, but then that’s hardly anything for a few days, right? They’re probably… all these orders are probably in some kind of pending status for a certain.
31 00:03:45.020 ⇒ 00:03:54.159 Demilade Agboola: Yeah, exactly, because the orders… because we have to remember what orders are. Orders are the fulfillment of a pharmaceutical…
32 00:03:54.450 ⇒ 00:04:02.849 Demilade Agboola: yeah, order. So, it’s not yet completed, it’s still in some form of… it’s been shipped, it’s pending.
33 00:04:02.850 ⇒ 00:04:03.470 Greg Stoutenburg: Yeah.
34 00:04:03.470 ⇒ 00:04:07.050 Demilade Agboola: It’s, like, some way, something is going on with it.
35 00:04:07.190 ⇒ 00:04:12.020 Demilade Agboola: And so it’s hard to now say, hey, we’re going to only look at, like, say, completed, or whatever.
36 00:04:12.170 ⇒ 00:04:18.009 Demilade Agboola: and in some cases, people might also, like, ask for refunds.
37 00:04:18.750 ⇒ 00:04:23.990 Demilade Agboola: Which then also complicates the final number I’ve even completed. Right.
38 00:04:25.090 ⇒ 00:04:30.709 Demilade Agboola: So, yeah, that’s kind of the hassle. There isn’t this, like, one and all, like.
39 00:04:30.710 ⇒ 00:04:31.380 Greg Stoutenburg: Right.
40 00:04:31.380 ⇒ 00:04:38.729 Demilade Agboola: one and all states that we can say, hey, these states will never change. It’s all dynamic, so I’m not exactly sure what they want us to do.
41 00:04:38.910 ⇒ 00:04:39.950 Greg Stoutenburg: Indeed. Yeah.
42 00:04:40.050 ⇒ 00:04:46.810 Greg Stoutenburg: Okay, for Tableau, why do you think he thought that in Tableau it wasn’t like this?
43 00:04:48.160 ⇒ 00:04:50.800 Demilade Agboola: So my guess on what’s going on is probably this.
44 00:04:51.270 ⇒ 00:04:56.989 Demilade Agboola: I don’t know how many times he looks at it in a day, and I don’t know if he also looks at the live dashboard
45 00:04:57.400 ⇒ 00:05:00.059 Demilade Agboola: Minus just the snapshots that we send.
46 00:05:00.240 ⇒ 00:05:05.090 Demilade Agboola: But in Tableau, it only refreshes once a day.
47 00:05:05.500 ⇒ 00:05:09.730 Demilade Agboola: So… Give me one second.
48 00:05:09.730 ⇒ 00:05:21.769 Greg Stoutenburg: Yeah, I don’t think that’s what he’s looking at, because he’ll say things like, look at March 17th, and here’s, you know, here’s 4 different images. You’ll see the value for March 17th changes in each image.
49 00:05:22.060 ⇒ 00:05:23.580 Greg Stoutenburg: So, yeah.
50 00:05:23.580 ⇒ 00:05:34.709 Demilade Agboola: Like, again, I showed that for Tableau as well. Like, I showed you last week, like, take February, like, that’s the… now, those are the last days in which we used, Tableau. But you can go further back.
51 00:05:35.000 ⇒ 00:05:42.700 Demilade Agboola: And look… The numbers aren’t static. If you take 5 days, in order.
52 00:05:42.870 ⇒ 00:05:48.859 Demilade Agboola: from… Like, 2 months ago, 3 months ago, it will still have that same trend of…
53 00:05:48.860 ⇒ 00:05:53.350 Greg Stoutenburg: You’ll still see it. Okay. He’s just, for some reason, unaware of that, huh?
54 00:05:53.520 ⇒ 00:05:57.019 Demilade Agboola: Yeah, so you could go back and check it yourself, just so you can confirm, and just.
55 00:05:57.020 ⇒ 00:05:57.730 Greg Stoutenburg: Yeah.
56 00:05:57.730 ⇒ 00:06:00.479 Demilade Agboola: The channel, you have access to all the reports.
57 00:06:00.480 ⇒ 00:06:03.159 Greg Stoutenburg: Yeah, I don’t… I don’t disbelieve what you’re saying.
58 00:06:03.160 ⇒ 00:06:08.370 Demilade Agboola: Yeah, so it’s literally one of those things where the numbers will change, Because…
59 00:06:09.160 ⇒ 00:06:15.629 Demilade Agboola: The statuses of the orders are changing, and we are pegging the number counts to the current status.
60 00:06:15.930 ⇒ 00:06:16.850 Greg Stoutenburg: Yeah.
61 00:06:21.690 ⇒ 00:06:27.790 Greg Stoutenburg: Is it Brainforge default? I’m trying to find which of those emails here. Eden at Brainforge.
62 00:06:27.950 ⇒ 00:06:29.370 Greg Stoutenburg: That’s the email.
63 00:06:35.990 ⇒ 00:06:37.950 Greg Stoutenburg: So, let’s say, alright.
64 00:06:40.040 ⇒ 00:06:47.130 Greg Stoutenburg: let’s just look together if we could. I actually… if you had shared, Tableau screenshots, I did not see it, so.
65 00:06:47.130 ⇒ 00:06:49.700 Demilade Agboola: Oh, I did, last week. Okay.
66 00:06:50.090 ⇒ 00:06:52.500 Greg Stoutenburg: Sorry about that, I didn’t see it.
67 00:06:54.600 ⇒ 00:07:00.199 Demilade Agboola: So, if you’re Friday at… I don’t know… I don’t know how many hours you are behind me, but…
68 00:07:02.770 ⇒ 00:07:04.810 Demilade Agboola: Let me copy and just…
69 00:07:04.810 ⇒ 00:07:08.430 Greg Stoutenburg: This is… yeah, if you wanna… yeah, or pull it now, that’s fine.
70 00:07:08.570 ⇒ 00:07:12.700 Greg Stoutenburg: I was just trying to see the most recent time that Tableau delivered here.
71 00:07:14.210 ⇒ 00:07:14.890 Demilade Agboola: Okay.
72 00:07:15.570 ⇒ 00:07:17.159 Demilade Agboola: So I just, I sent you…
73 00:07:17.410 ⇒ 00:07:19.039 Greg Stoutenburg: Did you just do it? Okay.
74 00:07:19.450 ⇒ 00:07:23.530 Demilade Agboola: Let me just… Share my slack so it’s easier to…
75 00:07:23.970 ⇒ 00:07:24.710 Greg Stoutenburg: Yeah.
76 00:07:24.860 ⇒ 00:07:26.499 Greg Stoutenburg: So these are Omni.
77 00:07:26.870 ⇒ 00:07:30.010 Demilade Agboola: No, no, these are… those are… that’s… that’s Tableau.
78 00:07:30.010 ⇒ 00:07:31.740 Greg Stoutenburg: This is Tableau. Oh, okay.
79 00:07:31.890 ⇒ 00:07:36.609 Greg Stoutenburg: Oh, I misunderstood. I thought that this was… I thought this was Omni.
80 00:07:37.240 ⇒ 00:07:38.900 Greg Stoutenburg: Okay So…
81 00:07:38.900 ⇒ 00:07:39.810 Demilade Agboola: That’s trouble.
82 00:07:39.810 ⇒ 00:07:42.159 Greg Stoutenburg: So they’ve always been changing. Okay.
83 00:07:42.160 ⇒ 00:07:43.040 Demilade Agboola: always be changing.
84 00:07:43.040 ⇒ 00:07:44.619 Greg Stoutenburg: That’s why I’m like…
85 00:07:44.830 ⇒ 00:07:48.030 Demilade Agboola: This… this… I don’t… I don’t understand what Josh’s request is.
86 00:07:48.030 ⇒ 00:07:48.750 Greg Stoutenburg: Yeah.
87 00:07:49.210 ⇒ 00:07:52.409 Greg Stoutenburg: Well, I sort of floated this to,
88 00:07:52.730 ⇒ 00:08:11.289 Greg Stoutenburg: to Robert yesterday, talking about, like, future Eden work streams, I was like, I think a little bit of what’s going on is that what they want has changed now that they’re… now that they’re sort of looking at the data afresh. They’ve kind of come up with new asks, as you put it. So…
89 00:08:11.840 ⇒ 00:08:12.880 Greg Stoutenburg: Okay.
90 00:08:14.040 ⇒ 00:08:25.399 Greg Stoutenburg: Okay, how can we get… so I think that giving him this context will be helpful. I also think we should try to deliver what we think is the closest to what he’s asking for.
91 00:08:25.660 ⇒ 00:08:29.720 Greg Stoutenburg: So what do you think that would be? Is it exclude?
92 00:08:30.570 ⇒ 00:08:32.059 Greg Stoutenburg: Exclude pending.
93 00:08:36.070 ⇒ 00:08:43.539 Demilade Agboola: If we exclude pending, what will end up happening is that the numbers… will inflate.
94 00:08:43.890 ⇒ 00:08:54.279 Demilade Agboola: in… for the previous days. So it’s a start of lower. So, like, what’s happening now is a deflation, right? As the numbers are falling out of the current status that we care to see.
95 00:08:54.880 ⇒ 00:08:57.819 Demilade Agboola: I’m not falling until, like, canceled, the numbers keep dropping.
96 00:08:59.240 ⇒ 00:09:08.000 Demilade Agboola: the opposite would happen. It would be, hey, these were orders that were, only supposed to be shipped.
97 00:09:08.160 ⇒ 00:09:10.420 Demilade Agboola: Or, like, sense of pharmacy.
98 00:09:10.650 ⇒ 00:09:26.689 Demilade Agboola: The others that were removed were not pending… were pending or, abandoned. But now, as these pending or abandoned orders start to get shipped and fulfilled, our number, our, you know, line will start to rise, because we’re increasing the count of
99 00:09:26.850 ⇒ 00:09:34.770 Demilade Agboola: The previous day’s orders that were pending, but now, but I now… What’s the word?
100 00:09:35.890 ⇒ 00:09:36.940 Demilade Agboola: But I’m now being shit.
101 00:09:36.940 ⇒ 00:09:38.070 Greg Stoutenburg: But they’re now shipped.
102 00:09:38.070 ⇒ 00:09:38.890 Demilade Agboola: Exactly.
103 00:09:39.950 ⇒ 00:09:47.359 Greg Stoutenburg: So if we exclude pending, right, today’s orders might be near zero, right? Yeah, and the past goes up.
104 00:09:47.630 ⇒ 00:09:49.020 Demilade Agboola: No, in the past, it deflated.
105 00:09:49.210 ⇒ 00:09:53.130 Demilade Agboola: Like, in the past, we had, say… so let’s say in the past, we had
106 00:09:53.370 ⇒ 00:09:57.420 Demilade Agboola: In total, yesterday, we had 250 orders, right?
107 00:09:57.990 ⇒ 00:10:02.100 Demilade Agboola: But then… Over, like, over 2 days.
108 00:10:02.970 ⇒ 00:10:08.210 Demilade Agboola: We realized out of the pending and abandoned orders,
109 00:10:08.560 ⇒ 00:10:12.020 Demilade Agboola: That maybe there were 20 of them, 15 of them canceled.
110 00:10:12.310 ⇒ 00:10:15.039 Demilade Agboola: So now, we had 250 orders in total.
111 00:10:15.310 ⇒ 00:10:18.799 Demilade Agboola: Out of those 250, 20 were pending slash abandoned.
112 00:10:19.200 ⇒ 00:10:19.960 Demilade Agboola: No.
113 00:10:20.620 ⇒ 00:10:23.399 Demilade Agboola: Only 5 of them are now confirmed orders.
114 00:10:23.520 ⇒ 00:10:33.860 Demilade Agboola: So we would have… we would drop from 250 orders down to 235 orders, because we’ve lost 15 orders that have now turned… quote-unquote, turned to canceled orders.
115 00:10:34.000 ⇒ 00:10:35.689 Demilade Agboola: So that’s the job he’s seen.
116 00:10:35.970 ⇒ 00:10:39.249 Demilade Agboola: But now, if we say, hey, actually, we don’t want to look at
117 00:10:39.350 ⇒ 00:10:43.960 Demilade Agboola: pending and abandoned. What’s gonna happen is we’re gonna start from 230 orders.
118 00:10:44.880 ⇒ 00:10:45.970 Greg Stoutenburg: The lower number.
119 00:10:45.970 ⇒ 00:10:56.090 Demilade Agboola: lower number, but over 2 days, once those orders start to get confirmed, and we have 5 confirmed orders, we will inflate, we will go up. So it’s just a reversal.
120 00:10:56.240 ⇒ 00:11:00.420 Demilade Agboola: The numbers are not… like, the way the things work, the numbers can’t be static.
121 00:11:00.730 ⇒ 00:11:01.380 Greg Stoutenburg: Right.
122 00:11:01.380 ⇒ 00:11:16.459 Demilade Agboola: The only thing we can do, and I don’t… I personally would not want to do that, is we can count the orders based off of the latest status, which starts to make it a bit murky. So right now, we count the orders based on when the orders
123 00:11:16.610 ⇒ 00:11:18.639 Demilade Agboola: Where, like, the ordered date.
124 00:11:18.820 ⇒ 00:11:19.710 Greg Stoutenburg: Yeah.
125 00:11:20.330 ⇒ 00:11:24.049 Demilade Agboola: Now, what the alternative is, we can count it based off of
126 00:11:24.460 ⇒ 00:11:30.890 Demilade Agboola: the status, like, the latest change that is happening to the order. But that makes it hard to pin down how many orders you.
127 00:11:30.890 ⇒ 00:11:31.390 Greg Stoutenburg: Yeah.
128 00:11:32.080 ⇒ 00:11:33.749 Demilade Agboola: Yeah. So that’s the problem.
129 00:11:34.150 ⇒ 00:11:36.390 Greg Stoutenburg: Yeah, that’s gonna look like it’s all over the place.
130 00:11:36.390 ⇒ 00:11:43.190 Demilade Agboola: Yeah, so I just, I, like, we just go, like, this is the order that happened on the 2nd of…
131 00:11:43.760 ⇒ 00:11:50.659 Demilade Agboola: 2nd of March, and this is, you know, the latest status of it. So, based off latest status, this is the classification of the order.
132 00:11:50.800 ⇒ 00:12:06.050 Demilade Agboola: But unless we’re going to say, hey, on the 17th of March, or whatever day in March, this is what happened, so therefore this is the count of that order on that day, but then the orders will start going all over the place, which is harder to pinpoint. So, that’s why I said I’m not sure what Josh needs us to do.
133 00:12:06.190 ⇒ 00:12:08.310 Demilade Agboola: Or how he wants us to solve this.
134 00:12:08.930 ⇒ 00:12:12.469 Demilade Agboola: Yeah. There will have to be either an inflation or a deflation.
135 00:12:13.380 ⇒ 00:12:14.040 Greg Stoutenburg: Yeah.
136 00:12:23.310 ⇒ 00:12:29.669 Greg Stoutenburg: Yeah, okay. Just thinking out loud. So let’s say we… we have something where…
137 00:12:29.800 ⇒ 00:12:34.220 Greg Stoutenburg: at midnight. I know that’s not how it works, but at midnight.
138 00:12:34.490 ⇒ 00:12:47.570 Greg Stoutenburg: orders for the previous day are effectively sealed for reporting purposes. So, everything that happened yesterday, confirmations and ship to the pharmacy and stuff, all of that is sort of
139 00:12:48.720 ⇒ 00:12:53.720 Greg Stoutenburg: Locked for reporting purposes at the end of the day, and say it’s, whatever, $200,000.
140 00:12:54.190 ⇒ 00:12:58.330 Greg Stoutenburg: Or two, yeah, 200. The next day.
141 00:12:59.740 ⇒ 00:13:04.310 Greg Stoutenburg: Josh gets his report, he’s happy that the number is… static.
142 00:13:04.640 ⇒ 00:13:08.949 Greg Stoutenburg: The day after that, two cycles have gone by, so now he’s got a second report.
143 00:13:09.830 ⇒ 00:13:12.410 Greg Stoutenburg: If that report still showed the same number.
144 00:13:13.150 ⇒ 00:13:15.379 Greg Stoutenburg: Which is what he wanted it to do.
145 00:13:16.680 ⇒ 00:13:22.520 Greg Stoutenburg: And any order from that day, Is, say, refunded.
146 00:13:27.030 ⇒ 00:13:32.420 Greg Stoutenburg: Yeah, then I don’t know… then I don’t know… Where that refund comes from.
147 00:13:33.590 ⇒ 00:13:34.689 Demilade Agboola: Yeah, so right now…
148 00:13:34.690 ⇒ 00:13:38.820 Greg Stoutenburg: There’s this mythical revenue. It’s a negative… whatever, 50 bucks.
149 00:13:38.820 ⇒ 00:13:49.570 Demilade Agboola: So right now, once a refund comes in, it will go, like, back to the day of the initial order, and strike out that order, as well as strike out the revenue.
150 00:13:49.570 ⇒ 00:13:50.120 Greg Stoutenburg: Yeah.
151 00:13:50.120 ⇒ 00:13:50.989 Demilade Agboola: Order, because again.
152 00:13:50.990 ⇒ 00:13:51.480 Greg Stoutenburg: Yeah.
153 00:13:51.480 ⇒ 00:13:53.810 Demilade Agboola: The order, like, the order doesn’t even count anymore.
154 00:13:54.010 ⇒ 00:13:55.649 Demilade Agboola: Yeah. Quote-unquote.
155 00:13:55.940 ⇒ 00:14:01.669 Demilade Agboola: But… so that automatically will influence the number count and the revenue count.
156 00:14:01.900 ⇒ 00:14:17.329 Demilade Agboola: Same thing with what we’re counting in terms of revenue pending and revenue abandoned. Now, Josh initially wanted us to look at the pending and abandoned orders, because he also wants to know how much, potentially, they could get. Like, the marketing team or whoever could.
157 00:14:17.330 ⇒ 00:14:17.730 Greg Stoutenburg: Yeah.
158 00:14:17.910 ⇒ 00:14:22.690 Demilade Agboola: Get people to confirm those orders, or get those orders over the line.
159 00:14:23.130 ⇒ 00:14:23.520 Greg Stoutenburg: Yeah.
160 00:14:24.030 ⇒ 00:14:40.640 Demilade Agboola: that’s kind of like… it’s like a rev… at this point, it’s like a revenue slash order pipeline more, rather than confirmed revenue. But ultimately, even confirmed revenue will change. It will still be a thing of, like, as people who are pending confirm, or people who abandon, you know.
161 00:14:41.110 ⇒ 00:14:45.979 Demilade Agboola: Get to it, or, you know, refunds come in. Those numbers will fluctuate.
162 00:14:45.980 ⇒ 00:14:46.690 Greg Stoutenburg: Right.
163 00:14:46.970 ⇒ 00:14:51.040 Demilade Agboola: So, again, I’m not sure the business ask from Josh.
164 00:14:51.040 ⇒ 00:15:03.849 Greg Stoutenburg: Yeah, yeah, yeah, yeah. Well, yeah, and this is… I tried to get a call from him, he didn’t really… he wasn’t eager to take it. He was like, I just want this number to hold still. Thought, like, alright, well, I’d kind of like to know more about how you’re using this to really…
165 00:15:05.350 ⇒ 00:15:08.249 Demilade Agboola: Kind of what we have done in the past.
166 00:15:08.430 ⇒ 00:15:12.020 Demilade Agboola: And there was a dashboard in Tableau to this effect.
167 00:15:13.380 ⇒ 00:15:19.559 Demilade Agboola: Was because the marketing team Essence… Like, Mitesh pushed for this.
168 00:15:19.900 ⇒ 00:15:30.079 Demilade Agboola: Because the marketing team needs to, like, make whatever profits… oh, sorry, get whatever, like, bonuses because of the work they did, and people who are banned on
169 00:15:30.660 ⇒ 00:15:33.069 Demilade Agboola: Doesn’t necessarily count towards them.
170 00:15:33.230 ⇒ 00:15:33.970 Greg Stoutenburg: Yeah.
171 00:15:33.970 ⇒ 00:15:38.769 Demilade Agboola: What we ended up doing was we had a daily snapshot that, at the top of the morning.
172 00:15:39.020 ⇒ 00:15:41.649 Demilade Agboola: It would shock us, the count.
173 00:15:41.830 ⇒ 00:15:44.230 Demilade Agboola: of… those orders.
174 00:15:44.840 ⇒ 00:15:46.620 Demilade Agboola: Up at the top of the morning.
175 00:15:46.620 ⇒ 00:15:47.550 Greg Stoutenburg: Okay.
176 00:15:48.520 ⇒ 00:15:54.999 Demilade Agboola: And so, like, it created a chart where you can kind of see, like, what was going on, because it was a snapshot of data.
177 00:15:55.360 ⇒ 00:15:55.760 Greg Stoutenburg: Yep.
178 00:15:55.760 ⇒ 00:16:00.759 Demilade Agboola: So, like, even if… if we had, like, let’s go back to our initial order, 250 people.
179 00:16:01.200 ⇒ 00:16:12.560 Demilade Agboola: you know, all of that. We could still go back and see that, you know, despite the fact that right now it’s 235, we can go back to that day and be sure that it was actually $250. Yeah. That’s the best we can do.
180 00:16:12.900 ⇒ 00:16:17.409 Demilade Agboola: Anything beyond that, we can’t, like… it will have to fluctuate with the time.
181 00:16:17.410 ⇒ 00:16:32.229 Greg Stoutenburg: Right. So, I guess it comes down to, given that orders have statuses, and the statuses can change, anything that we try to show as a trend over time on successive days, will show some variability.
182 00:16:32.790 ⇒ 00:16:33.570 Demilade Agboola: Exactly.
183 00:16:33.980 ⇒ 00:16:35.349 Greg Stoutenburg: Yeah. Okay.
184 00:16:36.900 ⇒ 00:16:38.430 Greg Stoutenburg: Yeah, alright.
185 00:16:39.160 ⇒ 00:16:44.100 Demilade Agboola: If you need me on a call with Joshua, we can figure out, like, the, the, like…
186 00:16:44.470 ⇒ 00:16:46.119 Demilade Agboola: The technical, like.
187 00:16:46.320 ⇒ 00:16:54.420 Demilade Agboola: way to work around it to get to the point where he’s like, okay, these are the exact numbers I need to see on a daily. Yeah. Just let me know, I’ll, like.
188 00:16:54.650 ⇒ 00:16:56.240 Demilade Agboola: Be there to hop on a call.
189 00:16:56.240 ⇒ 00:16:56.670 Greg Stoutenburg: Yeah.
190 00:16:56.670 ⇒ 00:17:03.229 Demilade Agboola: Like, just generally speaking, like, I… I’m not able to conceptualize what you want and put it in the.
191 00:17:03.230 ⇒ 00:17:13.910 Greg Stoutenburg: Yeah, I understand. No, I understand. So, yeah, there’s a technical blocker from what he’s asking for. So we need to understand, really, what his goal is in order to be able to figure out how we can accommodate it.
192 00:17:13.910 ⇒ 00:17:14.800 Demilade Agboola: Yeah, sounds good.
193 00:17:14.800 ⇒ 00:17:19.910 Greg Stoutenburg: Okay. Okay, cool. I appreciate it, Demi. While we’re on the call,
194 00:17:20.730 ⇒ 00:17:30.130 Greg Stoutenburg: Did you… I’m gonna get ready to, look through your comments on this.
195 00:17:30.450 ⇒ 00:17:40.850 Greg Stoutenburg: Do you have any thoughts about, like, what you’d want to focus on, or is there anything here that would most naturally fall to you that you think, actually, this shouldn’t be a priority, or anything like that, before I start…
196 00:17:41.030 ⇒ 00:17:44.169 Greg Stoutenburg: Trying to fit it into the, template that Bea shared.
197 00:17:45.070 ⇒ 00:17:52.320 Demilade Agboola: The only other thing I would say is that you, potentially, it could be helpful to integrate, like, dashboards that we want to get out the door.
198 00:17:53.000 ⇒ 00:17:56.819 Demilade Agboola: Because… Let me also share the…
199 00:17:58.450 ⇒ 00:18:03.249 Demilade Agboola: So, we should just integrate, like, an idea of dashboards we want to get out the door, because…
200 00:18:03.250 ⇒ 00:18:03.980 Greg Stoutenburg: Spirit.
201 00:18:07.500 ⇒ 00:18:10.980 Demilade Agboola: That allows them to be, or allows the team to be able to know
202 00:18:14.610 ⇒ 00:18:15.940 Demilade Agboola: I’m trying to look at the…
203 00:18:20.640 ⇒ 00:18:21.300 Demilade Agboola: Fair.
204 00:18:41.250 ⇒ 00:18:42.370 Demilade Agboola: Great.
205 00:18:48.300 ⇒ 00:18:52.949 Demilade Agboola: So that they can understand that, like, we’re gonna also build our dashboards, or, like.
206 00:18:53.590 ⇒ 00:18:57.269 Demilade Agboola: There’s a plan to build out the dashboards, but also, also, like…
207 00:18:58.880 ⇒ 00:19:03.430 Demilade Agboola: I mean, because you’re saying, like, because all that hyperlion completeness, and revenue truth…
208 00:19:03.990 ⇒ 00:19:06.390 Demilade Agboola: It’s all based off of the dashboards that they need.
209 00:19:06.820 ⇒ 00:19:10.219 Greg Stoutenburg: Yeah, got it, okay. So this is the goal state.
210 00:19:10.680 ⇒ 00:19:11.850 Greg Stoutenburg: And…
211 00:19:12.240 ⇒ 00:19:19.930 Greg Stoutenburg: Some of these things mentioned here, and a lot of this is just, you know, that’s just, you know, that’s cursor, so,
212 00:19:20.610 ⇒ 00:19:25.159 Greg Stoutenburg: Okay, so connect these dashboards that they want.
213 00:19:25.590 ⇒ 00:19:27.999 Greg Stoutenburg: to these projects.
214 00:19:29.870 ⇒ 00:19:35.329 Demilade Agboola: Yeah, sort of, like, yeah, we need to connect the dashboards to the project, and just also ensure that
215 00:19:35.720 ⇒ 00:19:42.900 Demilade Agboola: When we’re talking… About what they need.
216 00:19:43.180 ⇒ 00:19:47.599 Demilade Agboola: we can say at the end of Q2, these are the… these are the…
217 00:19:48.160 ⇒ 00:19:52.580 Demilade Agboola: Based off these dashboards, these are the attributes you should be able to get within your team.
218 00:19:52.800 ⇒ 00:19:57.159 Demilade Agboola: and all of that stuff, I think that would be, like…
219 00:19:57.360 ⇒ 00:20:07.670 Demilade Agboola: weighty to them. Also, in line with that, I know, Laura asked for the customer success dashboard. I’m not exactly sure which she’s referring to as the customer success. If you look at.
220 00:20:07.670 ⇒ 00:20:16.380 Greg Stoutenburg: Oh yeah, you… you tagged me on something, right? My… my Slack just got totally insane in the last day, so… probably just lost it.
221 00:20:16.640 ⇒ 00:20:18.310 Demilade Agboola: So I’m not sure if she means, like.
222 00:20:27.580 ⇒ 00:20:33.719 Greg Stoutenburg: Okay, I see. You made this comment yesterday at 519 my time. Okay.
223 00:20:33.720 ⇒ 00:20:37.140 Demilade Agboola: So I’m not sure if she means, like, she wants to see…
224 00:20:37.840 ⇒ 00:20:46.360 Demilade Agboola: like, the numbers by customer success manager, because they have different customer success managers. She’s told me about that.
225 00:20:46.680 ⇒ 00:20:49.579 Demilade Agboola: But… so let me kind of share my screen and kind of…
226 00:20:49.580 ⇒ 00:20:50.250 Greg Stoutenburg: Yeah.
227 00:20:52.670 ⇒ 00:20:55.819 Demilade Agboola: So she’s told me, like, she wants to see these metrics.
228 00:20:56.120 ⇒ 00:20:56.790 Greg Stoutenburg: Yup.
229 00:20:56.980 ⇒ 00:21:10.730 Demilade Agboola: Right? So she wants to see, like, ARR by customer, shoot, and all of that, MRR by team, but she also wants a filter for the customer success manager, so, like, Dina, and all of that, so she can be able to say, hey.
230 00:21:11.260 ⇒ 00:21:15.430 Demilade Agboola: He’s able to… whose numbers are great, whose numbers are not, right?
231 00:21:15.430 ⇒ 00:21:16.050 Greg Stoutenburg: Okay.
232 00:21:16.170 ⇒ 00:21:16.710 Greg Stoutenburg: Yep.
233 00:21:17.020 ⇒ 00:21:22.220 Demilade Agboola: So, like, again, so Salesforce Customer Success Manager Attribution.
234 00:21:22.440 ⇒ 00:21:23.250 Greg Stoutenburg: Okay.
235 00:21:23.520 ⇒ 00:21:31.059 Greg Stoutenburg: Cool. And now, does that tie to a specific dashboard? Since it sounds like she’s asking about a specific dashboard.
236 00:21:31.410 ⇒ 00:21:39.159 Demilade Agboola: Yes, but that’s what I’m trying to say. Is she saying customer success from that perspective, or is she referring to this, which is, like.
237 00:21:39.510 ⇒ 00:21:42.060 Demilade Agboola: Customer, like, enablement stuff.
238 00:21:42.290 ⇒ 00:21:47.109 Greg Stoutenburg: Customer Reporting and Enablement, or the customer success.
239 00:21:47.650 ⇒ 00:21:49.539 Greg Stoutenburg: Performance metrics, right?
240 00:21:49.540 ⇒ 00:21:50.749 Demilade Agboola: Exactly. Is it more of a…
241 00:21:50.750 ⇒ 00:21:52.069 Greg Stoutenburg: Got it.
242 00:21:52.070 ⇒ 00:22:04.289 Demilade Agboola: metrics she wants to see. So basically, it’s like, okay, just to be clear, do you want to see, like, the GTM metrics by Customer Success Manager for these metrics?
243 00:22:04.720 ⇒ 00:22:06.300 Demilade Agboola: That’s basically the question.
244 00:22:08.350 ⇒ 00:22:15.829 Greg Stoutenburg: Okay. Do you mean the… GTM… so the GTM, dashboard.
245 00:22:16.070 ⇒ 00:22:23.140 Demilade Agboola: Yeah, so, like, for instance, you can see this is Lauren, this is what she put by herself, GRNRR by CSM, and CSMs are Lauren, Beth, and Deanna.
246 00:22:23.390 ⇒ 00:22:28.990 Demilade Agboola: So she wants to understand, like, the retention metrics, like, who’s, like, you know…
247 00:22:28.990 ⇒ 00:22:29.700 Greg Stoutenburg: Okay.
248 00:22:29.970 ⇒ 00:22:34.160 Greg Stoutenburg: So, I’m just being… trying to be super precise here.
249 00:22:34.530 ⇒ 00:22:37.760 Greg Stoutenburg: Is this the right way to ask this question?
250 00:22:40.910 ⇒ 00:22:41.830 Demilade Agboola: Are you sharing something?
251 00:22:43.000 ⇒ 00:22:45.070 Greg Stoutenburg: Yeah, I’m trying to share my Slack, can you see it?
252 00:22:45.850 ⇒ 00:22:47.860 Demilade Agboola: Oh yeah, sorry, I was gonna clean your screen.
253 00:22:47.860 ⇒ 00:22:49.609 Greg Stoutenburg: Okay, yeah, I’m down here, I’m down here in the…
254 00:22:49.610 ⇒ 00:22:50.379 Demilade Agboola: I’ve seen it.
255 00:22:50.560 ⇒ 00:22:51.370 Demilade Agboola: I…
256 00:22:51.750 ⇒ 00:22:57.769 Demilade Agboola: just to clarify, but that’s what you’re trying, do you mean GTM dashboard? Actually, no, so can you say, like, do you mean the…
257 00:22:58.030 ⇒ 00:23:05.600 Demilade Agboola: dashboard containing the GR… Like, yeah, that second part, exactly.
258 00:23:07.680 ⇒ 00:23:09.579 Demilade Agboola: Containing your own by CSM.
259 00:23:10.060 ⇒ 00:23:12.840 Demilade Agboola: So you can take out the dashboard at the end, yeah.
260 00:23:12.840 ⇒ 00:23:15.820 Greg Stoutenburg: If that… if that is what… assuming that is what she means.
261 00:23:16.650 ⇒ 00:23:20.050 Greg Stoutenburg: Do… what is the ETA on that, and do we need anything from her?
262 00:23:20.590 ⇒ 00:23:28.800 Demilade Agboola: Right now, the ATA will probably be early next week.
263 00:23:31.390 ⇒ 00:23:32.129 Greg Stoutenburg: For her to review.
264 00:23:32.130 ⇒ 00:23:39.320 Demilade Agboola: like, yeah, it’s more of, like, the reviews and stuff, because we have a decent amount of, like, the numbers already, it’s part of the ARR stuff.
265 00:23:39.320 ⇒ 00:23:40.000 Greg Stoutenburg: Yeah.
266 00:23:40.000 ⇒ 00:23:44.890 Demilade Agboola: I just will need to integrate the CSM stuff, and I don’t want to make a very tight timeline.
267 00:23:48.920 ⇒ 00:23:49.570 Greg Stoutenburg: Nice.
268 00:23:52.060 ⇒ 00:23:55.010 Greg Stoutenburg: Okay. Is, is early next week…
269 00:23:55.810 ⇒ 00:23:56.770 Demilade Agboola: Right away.
270 00:23:57.050 ⇒ 00:23:59.099 Demilade Agboola: In the first dataset, you have Dashboard twice.
271 00:23:59.340 ⇒ 00:24:00.619 Demilade Agboola: Like, at the end.
272 00:24:03.180 ⇒ 00:24:05.990 Demilade Agboola: Yeah, bye, yeah.
273 00:24:06.800 ⇒ 00:24:10.150 Greg Stoutenburg: Thanks. Nice catch. Okay.
274 00:24:10.320 ⇒ 00:24:14.189 Greg Stoutenburg: Alright. Is, is early next week a push? If that’s a push?
275 00:24:14.330 ⇒ 00:24:15.829 Greg Stoutenburg: Let’s just not do it.
276 00:24:16.440 ⇒ 00:24:17.810 Greg Stoutenburg: Let’s just say…
277 00:24:18.920 ⇒ 00:24:22.150 Demilade Agboola: What I’ll need to do, what I’ll need to do, yeah, we could do it next week, but, like.
278 00:24:22.280 ⇒ 00:24:25.389 Demilade Agboola: Yeah, good to see next week. But I think, like.
279 00:24:25.620 ⇒ 00:24:33.089 Demilade Agboola: All I just need to do is look at the Lauren, Beth, and Deanna numbers, ensure that we have that in there, and once we do…
280 00:24:33.500 ⇒ 00:24:37.960 Demilade Agboola: Yeah, we should… that should not be a heavy lift to Duane.
281 00:24:38.200 ⇒ 00:24:38.680 Demilade Agboola: All of that.
282 00:24:38.680 ⇒ 00:24:39.230 Greg Stoutenburg: Okay.
283 00:24:39.230 ⇒ 00:24:43.210 Demilade Agboola: We’ll also need to redefine some of these numbers, because NRR is different.
284 00:24:45.420 ⇒ 00:24:51.450 Greg Stoutenburg: Okay. Well, we didn’t say anything about this until… oh, it’s not even on here.
285 00:24:52.520 ⇒ 00:24:54.509 Demilade Agboola: I think it is, it’s streamed 2, LoRa.
286 00:24:55.570 ⇒ 00:24:58.690 Greg Stoutenburg: Well, okay, we’d count it as maybe 27.
287 00:25:00.440 ⇒ 00:25:01.240 Demilade Agboola: Yeah…
288 00:25:01.620 ⇒ 00:25:06.630 Greg Stoutenburg: Alright, well, that actually goes the next 2 weeks, so… Alright, she’s just checking in then.
289 00:25:06.890 ⇒ 00:25:07.580 Demilade Agboola: Yeah.
290 00:25:07.940 ⇒ 00:25:12.010 Greg Stoutenburg: Okay, cool. I’ll send that message. We don’t need anything from her, though, right?
291 00:25:12.420 ⇒ 00:25:18.370 Demilade Agboola: Yeah, so we can say, like, the V1. I think it’s important to also mention, like, V1 of the dashboard, so that it’s not high-level.
292 00:25:18.500 ⇒ 00:25:18.850 Greg Stoutenburg: Yeah.
293 00:25:18.850 ⇒ 00:25:20.450 Demilade Agboola: I expect everything to be precise, but, like.
294 00:25:20.450 ⇒ 00:25:23.050 Greg Stoutenburg: Yeah, V1 for review, yeah, okay.
295 00:25:23.420 ⇒ 00:25:26.140 Greg Stoutenburg: And that was… this one.
296 00:25:27.360 ⇒ 00:25:32.440 Demilade Agboola: Yeah, I mean, that dashboard has a context, but, like, I just want to be sure that it’s the…
297 00:25:32.700 ⇒ 00:25:33.370 Demilade Agboola: Yeah.
298 00:25:34.420 ⇒ 00:25:35.100 Greg Stoutenburg: Yo.
299 00:25:35.590 ⇒ 00:25:38.430 Greg Stoutenburg: Cool. Okay, I think that’s what we needed for her.
300 00:25:38.430 ⇒ 00:25:39.920 Demilade Agboola: Oh, okay, alright, sounds good.
301 00:25:40.130 ⇒ 00:25:42.169 Greg Stoutenburg: Yep, alright, thanks, Sammy, appreciate it.
302 00:25:42.510 ⇒ 00:25:43.370 Greg Stoutenburg: See ya.