Meeting Title: [Eden] Daily Standup Date: 2025-04-14 Meeting participants: Annie Yu, Demilade Agboola, Robert Tseng, Josh, Rob, Sahana Asokan
WEBVTT
1 00:03:48.690 ⇒ 00:03:49.540 Robert Tseng: Hey! Annie!
2 00:03:50.450 ⇒ 00:03:56.830 Annie Yu: Hello, Robert, I I have trouble opening my tableau, so I’m trying to.
3 00:03:59.030 ⇒ 00:03:59.890 Robert Tseng: Oh, no worry.
4 00:04:00.220 ⇒ 00:04:21.749 Robert Tseng: I mean, I guess, since it’s just you on this call so far, let me just quickly show. So I mean, I know that you added these stack bars. I didn’t really follow your question like you’re I know you’re asking for a review. You’re just wanting to check the logic, but I mean I don’t know for me. I would just be looking at if if the values are the same as if it was like 2 line charts. So if it is, and I feel like it should be fine.
5 00:04:22.110 ⇒ 00:04:25.100 Annie Yu: You mean compared to the looker.
6 00:04:26.790 ⇒ 00:04:29.869 Robert Tseng: No, we already had this in tableau right?
7 00:04:30.410 ⇒ 00:04:38.030 Annie Yu: Oh, oh, yeah, no. The executive dashboard is ready because the the numbers match with the light charts. But.
8 00:04:38.030 ⇒ 00:04:38.440 Robert Tseng: Yep.
9 00:04:38.831 ⇒ 00:04:41.179 Annie Yu: I was asking about the retention.
10 00:04:41.920 ⇒ 00:04:42.610 Robert Tseng: Oh,
11 00:04:44.420 ⇒ 00:04:46.480 Annie Yu: And that, yeah.
12 00:04:47.950 ⇒ 00:04:49.709 Robert Tseng: I’m assuming it’s this one.
13 00:04:50.977 ⇒ 00:04:52.999 Annie Yu: Yeah, and I haven’t published it.
14 00:04:53.000 ⇒ 00:04:54.399 Robert Tseng: Oh, you haven’t published it yet. Okay.
15 00:04:54.715 ⇒ 00:04:59.769 Annie Yu: If you go into edit you can see that, but I just haven’t make it visible.
16 00:05:00.140 ⇒ 00:05:00.900 Robert Tseng: Okay.
17 00:05:06.940 ⇒ 00:05:08.090 Robert Tseng: I might have to.
18 00:05:08.270 ⇒ 00:05:16.130 Robert Tseng: It might be a version. Maybe you’re editing it. Locally. And you haven’t published. I mean, this is like editing in clouds. Maybe I just don’t see it here.
19 00:05:16.130 ⇒ 00:05:18.780 Annie Yu: Oh, it’s the 1st 2 tabs.
20 00:05:19.975 ⇒ 00:05:20.950 Robert Tseng: Yeah.
21 00:05:21.260 ⇒ 00:05:22.620 Annie Yu: Oh! And.
22 00:05:24.020 ⇒ 00:05:25.450 josh: Can you flip that.
23 00:05:27.840 ⇒ 00:05:29.340 Robert Tseng: Hey! Hey, Josh! What was that?
24 00:05:30.250 ⇒ 00:05:31.480 josh: Like this?
25 00:05:31.590 ⇒ 00:05:34.709 josh: Can we flip the numbers? So it’s the
26 00:05:34.990 ⇒ 00:05:40.029 josh: new sales on bottom, recurring on top.
27 00:05:40.700 ⇒ 00:05:41.480 Robert Tseng: I see.
28 00:05:42.590 ⇒ 00:05:47.860 Robert Tseng: Okay? Well, I guess any. That’s that’s 1 that’s 1 tweak that we can make here. But yeah.
29 00:05:48.540 ⇒ 00:05:52.290 Annie Yu: And I think my question is, are the numbers supposed to match
30 00:05:52.490 ⇒ 00:05:55.330 Annie Yu: the numbers on Looker? Because they don’t.
31 00:05:55.330 ⇒ 00:05:57.250 Robert Tseng: No, no, they don’t, they should not.
32 00:05:57.430 ⇒ 00:05:58.460 Annie Yu: Okay. Okay.
33 00:05:58.460 ⇒ 00:06:10.179 Robert Tseng: I mean this, this is these, this is the same view as the executive dash, right like the revenue, and the order counts should match that. So if if it matches what we what you have for the
34 00:06:10.750 ⇒ 00:06:13.020 Robert Tseng: exact dash, then I think that’s fine.
35 00:06:13.320 ⇒ 00:06:17.010 josh: Why would they be different like this? Looks that looks very dire.
36 00:06:21.430 ⇒ 00:06:23.640 Robert Tseng: What! What do you mean? That dire.
37 00:06:24.020 ⇒ 00:06:30.100 josh: This does not look right compared to like where we were at with the I don’t know what
38 00:06:30.880 ⇒ 00:06:36.639 josh: this one is, his 1st 1st repeat, this is not possible to be even close to correct
39 00:06:37.110 ⇒ 00:06:41.880 josh: cause. Like, you know, we have, like 7 million of revenue just last month.
40 00:06:42.010 ⇒ 00:06:45.530 josh: and this is only showing 1.7 total. It doesn’t make sense.
41 00:06:46.980 ⇒ 00:06:54.539 Robert Tseng: Yeah, I mean, this is Annie. This is not using the same model as the exact dash. So I think we should be using the same one. There.
42 00:06:54.540 ⇒ 00:07:01.879 Annie Yu: Okay, then that will make it easier. Easier. Yeah, because I was using the one for retention. Okay, I can do that.
43 00:07:01.880 ⇒ 00:07:02.410 Robert Tseng: Yeah.
44 00:07:02.410 ⇒ 00:07:09.580 Annie Yu: Want the new the reorder to be on the top.
45 00:07:10.210 ⇒ 00:07:10.770 Robert Tseng: Yep.
46 00:07:11.000 ⇒ 00:07:11.600 Annie Yu: Okay.
47 00:07:12.210 ⇒ 00:07:13.260 Robert Tseng: Okay. Cool.
48 00:07:13.510 ⇒ 00:07:23.510 Demilade Agboola: I think this because this is a retention dashboard we’re looking at is the people who made the 1st purchase in the month versus people who made a repeat.
49 00:07:24.590 ⇒ 00:07:28.669 Demilade Agboola: So we need to look into the numbers
50 00:07:29.010 ⇒ 00:07:37.910 Demilade Agboola: for the month itself, and then, like, be able to attribute every single order back to the whether it’s a 1st order or a repeat order.
51 00:07:45.260 ⇒ 00:07:51.049 Robert Tseng: yeah. But I think like what was missing here was just the same thing as well on the exact dash. I don’t think it was like.
52 00:07:51.700 ⇒ 00:07:58.859 Robert Tseng: Oh, you’re I mean, unless I read the previous version like incorrectly. But I didn’t. I didn’t think it was based off of
53 00:07:59.680 ⇒ 00:08:10.100 Robert Tseng: like we, we have the percentage breakouts here. And so that what would? They just wanted to see? The same thing that we have on the exact dash here, like it’s just like the the same stuff.
54 00:08:10.620 ⇒ 00:08:12.549 Demilade Agboola: Oh, gotcha! Gotcha!
55 00:08:15.220 ⇒ 00:08:20.339 Robert Tseng: I mean, I can. I can go back into the ticket to look at it. But if we go back to the original like
56 00:08:24.970 ⇒ 00:08:26.240 Robert Tseng: potential.
57 00:08:35.559 ⇒ 00:08:38.239 Robert Tseng: This might make me log in great.
58 00:08:49.690 ⇒ 00:08:56.750 Robert Tseng: Yeah, this is just it’s just orders and revenue, like, there’s nothing like, yeah, this, we don’t need to use the same model as we did here.
59 00:08:59.750 ⇒ 00:09:01.070 Demilade Agboola: Okay, that makes sense.
60 00:09:01.320 ⇒ 00:09:07.060 Robert Tseng: Yeah. So we’re just taking this this stuff and we’re putting it into the other dashboard here.
61 00:09:07.060 ⇒ 00:09:09.650 Annie Yu: Okay, so literally the same thing. Right?
62 00:09:09.650 ⇒ 00:09:10.669 Robert Tseng: It’s the same thing. It’s fine.
63 00:09:10.890 ⇒ 00:09:17.420 Annie Yu: Okay? And then for this executive dash, I’m assuming we also want to flip that returning and new.
64 00:09:17.420 ⇒ 00:09:18.629 Robert Tseng: Yeah, we should flip it.
65 00:09:18.630 ⇒ 00:09:19.270 Annie Yu: Okay.
66 00:09:20.150 ⇒ 00:09:20.800 Robert Tseng: Cool.
67 00:09:22.250 ⇒ 00:09:27.286 Robert Tseng: Okay, let’s now that we have everyone here, I’ll
68 00:09:29.590 ⇒ 00:09:36.577 Robert Tseng: gonna jump to things that and feedback, I guess. Like the more since, Rob, you’re on this call, and I’m not sure if you’re gonna jump off or not. But
69 00:09:37.450 ⇒ 00:09:59.890 Robert Tseng: yeah, I think that in that ongoing thread with with that Zach Bask. Basically, like, we’re just, we cannot find the orders that he’s saying that they’ve actually created right? So I think Lotus Point was like, hey? We have a couple we don’t know which web hook is coming from. It’s definitely not getting into our models. So the risk is that, like we’re not
70 00:09:59.930 ⇒ 00:10:07.208 Robert Tseng: I. We still know who’s wrong. Like is Zach wrong? I don’t know. I can’t confirm. I don’t have any orders to show him. And
71 00:10:07.730 ⇒ 00:10:11.050 Robert Tseng: yeah, I mean he hasn’t shown me any orders, either, so I don’t know if he’s right.
72 00:10:12.270 ⇒ 00:10:27.220 rob: Yeah. Sorry I was out of town for the weekend, so I haven’t caught up on that. But I I’ll look at it right now, after this call I saw a little bit of the back and forth with you guys. It sounds like he’s convinced they’re all coming through right, but he can’t give us
73 00:10:27.965 ⇒ 00:10:35.479 rob: any proof that that’s the case with the 15% of orders that we’re not seeing matching up payment.
74 00:10:35.480 ⇒ 00:10:39.209 josh: Freaked out on me, and.
75 00:10:39.720 ⇒ 00:10:49.079 josh: like, had, like a side note sent to me explaining, I would appreciate if you guys stop accusing my app of things.
76 00:10:49.220 ⇒ 00:10:51.270 josh: This is not a second time.
77 00:10:52.463 ⇒ 00:10:55.769 josh: Robert, saying the bask failed to work correctly.
78 00:10:56.020 ⇒ 00:11:02.879 josh: blatantly. False statements! I’ve sent my developers on 2 wild goose chases that turned out to be untrue.
79 00:11:03.300 ⇒ 00:11:06.429 josh: So he feels very strongly that before.
80 00:11:06.430 ⇒ 00:11:09.410 rob: Said that about me, cause I’ve never accused him.
81 00:11:09.410 ⇒ 00:11:11.819 josh: No, no, I was talking about around it.
82 00:11:11.820 ⇒ 00:11:13.300 rob: Oh, gotcha!
83 00:11:13.300 ⇒ 00:11:17.580 josh: So you gotta be careful the way you’re talking to this psychopath dude.
84 00:11:18.220 ⇒ 00:11:18.800 Robert Tseng: Exactly.
85 00:11:18.800 ⇒ 00:11:20.160 rob: Very fragile.
86 00:11:20.160 ⇒ 00:11:24.380 Robert Tseng: Was it an accusation? I don’t know. Man, I just okay. Okay.
87 00:11:24.380 ⇒ 00:11:29.369 josh: It can be an accusation with him. So you just gotta ask it as a question, because he’s very.
88 00:11:29.480 ⇒ 00:11:30.380 josh: It’s just
89 00:11:31.450 ⇒ 00:11:48.279 josh: yeah. I’m just telling you this. I’m not pissed. I would have done the same thing if I were you, but we just gotta be. The way we do it with him is just asking as though we’re we’re like toddlers, and we’re asking our parent if it’s if it’s a thing, otherwise he has like a fucking freak out.
90 00:11:48.980 ⇒ 00:11:49.860 Robert Tseng: I see.
91 00:11:49.860 ⇒ 00:11:51.920 Demilade Agboola: Yeah, but
92 00:11:52.090 ⇒ 00:12:08.460 Demilade Agboola: I I think it’s just important that we figure out exactly what the issue is, because in Rob’s model and our model. We can’t see the orders. So so it’s a real question of like, okay, so where are the orders? If they do exist? And
93 00:12:08.731 ⇒ 00:12:23.139 Demilade Agboola: just being able to figure out like, if it’s a web hook, if we’re not getting the data from or not ingesting the data properly, just being able to get to the bottom of everything, because right now, like, we have orders that supposedly exist. But we have no idea where they exist.
94 00:12:23.330 ⇒ 00:12:28.020 josh: Yeah. And then if you can just show that like, just literally show that.
95 00:12:29.940 ⇒ 00:12:37.300 Robert Tseng: Yeah. Well, I mean, I sent him that Csv, Josh of like the payment. These are all the transactions that we can’t map to orders. And that’s basically what I was like.
96 00:12:37.520 ⇒ 00:12:43.680 Robert Tseng: And so I’m just asking him, well, if you know where the orders are, just show us what the orders are like, we’re not able to find.
97 00:12:43.680 ⇒ 00:12:50.639 josh: Can you give us the same? Csv, can you give us the same data? Can you just explain this to us
98 00:12:50.760 ⇒ 00:12:52.460 josh: like, how does this work.
99 00:12:53.330 ⇒ 00:12:54.050 Robert Tseng: Okay.
100 00:12:55.460 ⇒ 00:13:03.079 Robert Tseng: I mean, I think he got it like I he did say he was. Gonna look into it at his convenience. But I I can. I? Yeah, I mean, I can. I can.
101 00:13:04.850 ⇒ 00:13:05.170 Robert Tseng: is it.
102 00:13:05.170 ⇒ 00:13:06.480 josh: Especially because of.
103 00:13:07.050 ⇒ 00:13:10.770 josh: He feels like the his systems being undermined.
104 00:13:11.630 ⇒ 00:13:15.740 josh: even though it might suck. I mean, I don’t know.
105 00:13:17.200 ⇒ 00:13:21.280 josh: This is why I’m building my own thing. Okay, I’m done dealing with them.
106 00:13:22.990 ⇒ 00:13:30.450 Robert Tseng: Okay? Well, I mean Josh, I mean. So the ball’s in his court, I mean, we can keep kind of gently nudging him on. But
107 00:13:30.580 ⇒ 00:13:43.570 Robert Tseng: for now like this is, that’s what it is. We just there is a number of orders, you know, that same 5 to 15% unsure. What that is, where there are transactions that are successful. But we don’t know what the orders are.
108 00:13:45.689 ⇒ 00:14:00.279 Demilade Agboola: Just cause Rob’s on the call now, can I? I just, I remember, like slacking him so I could just ask you right now. Do we have any orders that are not found in the orders updated and the orders completed, tables.
109 00:14:01.040 ⇒ 00:14:19.139 rob: No, but that’s just because those are my only 2 data sources. Right? So I guess it’s possible there is. Now, when I’ve done bulk imports from their system into ours. I think it’s like point 0 2% of the web hooks never fired.
110 00:14:21.390 ⇒ 00:14:24.789 rob: But yeah, I mean, pretty much. No.
111 00:14:28.650 ⇒ 00:14:33.265 Demilade Agboola: Okay? Because that’s really right. Right now, our sources, our sources of truth.
112 00:14:33.760 ⇒ 00:14:34.550 Demilade Agboola: Yeah.
113 00:14:34.650 ⇒ 00:14:40.260 Demilade Agboola: yeah. So we just need to be sure that you know we’re not. We’re ingesting all the data possible.
114 00:14:42.490 ⇒ 00:14:52.130 Robert Tseng: Okay, yeah. Well, I mean, that’s pretty much what I had outstanding, I guess. Why I created this morning for you, Rob. But yeah, I mean, if you wanna poke around, look at it a bit more. Otherwise I do. I.
115 00:14:52.130 ⇒ 00:15:05.250 rob: Do another manual audit where I manually export all their stuff. Because maybe something happened. It’s been like 6 months since I’ve done that. So where I did a manual export from their system. So it’s a good place to start.
116 00:15:05.720 ⇒ 00:15:12.339 Robert Tseng: Okay, alright, let’s move on from that issue.
117 00:15:12.550 ⇒ 00:15:15.829 Robert Tseng: Get ready to not be on that all the time.
118 00:15:18.980 ⇒ 00:15:31.480 Robert Tseng: yeah. So I guess you you guys publish the I guess this is for Sahanna Dim. Lot of you published the marketing dash this morning. I mean, I was gonna go and click, click in to see like what like, look at the updates like.
119 00:15:31.830 ⇒ 00:15:35.019 Robert Tseng: is this, is this ready to review right now?
120 00:15:36.988 ⇒ 00:15:47.839 Demilade Agboola: Yeah. So Sahana published it last week, but you know I had to look through it, and I discovered that the extracts were not yet set up. So I set that up so the data should be fine.
121 00:15:47.840 ⇒ 00:15:51.685 Sahana Asokan: But that’s this is not the right one. Because, I added Ltv. To it.
122 00:15:52.390 ⇒ 00:15:59.529 Sahana Asokan: Can you just look at? I think I might have published it from your account, Robert. Just yeah. Let’s see that one. The the 1st one. Yeah.
123 00:15:59.880 ⇒ 00:16:00.640 Robert Tseng: Okay.
124 00:16:01.583 ⇒ 00:16:03.589 Sahana Asokan: I wanna see if this is the right one.
125 00:16:04.030 ⇒ 00:16:05.490 Sahana Asokan: Yeah, this is the right one.
126 00:16:06.050 ⇒ 00:16:06.680 Robert Tseng: Okay.
127 00:16:09.252 ⇒ 00:16:17.319 Robert Tseng: Yeah. I know we’re still waiting for Mattesh. She didn’t get back on us on Friday, so I don’t really think there’s any like practical like next step here, but I mean.
128 00:16:17.320 ⇒ 00:16:19.679 josh: Another thing that we’re gonna wanna start
129 00:16:20.270 ⇒ 00:16:26.029 josh: adding in is, I wanna get you guys to
130 00:16:26.320 ⇒ 00:16:31.380 josh: see the stuff Danny, seeing like from like the actual numbers.
131 00:16:32.496 ⇒ 00:16:43.670 josh: And then how we incorporate some of those details into these maybe secondary portions of this dashboard, so like actually like when our books close.
132 00:16:43.820 ⇒ 00:16:49.350 josh: And those types of things like what’s actually being, you know, accounted for
133 00:16:51.590 ⇒ 00:16:57.820 Robert Tseng: Sure I mean, I think I explained before, like why this will not match quickbooks, but
134 00:16:58.210 ⇒ 00:17:10.960 josh: Yeah, no, no, I get it. There’s gonna be a lot. There’s gonna be a ton of. There’s I think there’s gonna be like paid media channel stuff like, you know, traditional paid media channel stuff for reports. And then like this, more like
135 00:17:11.230 ⇒ 00:17:20.270 josh: blended thing. It’s like, so you know, like creative. There’s just like we, we have to come up with some definitions. Yeah.
136 00:17:20.270 ⇒ 00:17:32.620 Robert Tseng: You come up with some categories the way that you view it in the in your, in your books. Yeah, sure. And we and you want to like kind of carry over those same categories here. So you want us to group these things the way that you do with the other report.
137 00:17:32.910 ⇒ 00:17:33.620 josh: Yeah.
138 00:17:34.100 ⇒ 00:17:42.669 Robert Tseng: Okay, yeah, I mean, I know Danny was out last week at Amspa. So we can. I mean, I was gonna catch up with him this week, anyway. But yeah.
139 00:17:45.050 ⇒ 00:17:46.260 josh: Exactly.
140 00:17:47.540 ⇒ 00:17:48.230 Robert Tseng: Okay.
141 00:17:49.010 ⇒ 00:18:04.090 Robert Tseng: cool. So I mean, I guess, Sahana, like, what is there like a follow up question? I can like, just what can I nudge Mattesh on like, what? What do we really want him like, what we feel good about? Obviously certain sections and other sections. We just want a bit more guidance on like. What? What a way.
142 00:18:04.090 ⇒ 00:18:21.400 Sahana Asokan: Yeah, I think. The the current status on this right is, I know he wanted us to include the Ltv by product. So that’s something he can just see in this dashboard as well. I think the next steps here is really fixing our mer right. I think we we
143 00:18:21.540 ⇒ 00:18:25.630 Sahana Asokan: we, I think, acknowledge that it’s not being calculated correctly.
144 00:18:25.630 ⇒ 00:18:26.390 Robert Tseng: Yeah.
145 00:18:26.390 ⇒ 00:18:40.699 Sahana Asokan: So I think, yeah, next steps here is just really data quality around Mer, and then I don’t know if we’re making any updates to the Channel breakdown. I think it looks good. But yeah, I don’t I? There are real no real next steps.
146 00:18:40.950 ⇒ 00:18:56.477 Robert Tseng: Okay, yeah. I think I think Ball’s in his court. Yeah, mer thing. He’s still I’ve gave him. I’ve given him this sheet. Kind of. He knows where he needs to drop stuff. He’s only kind of put in a couple here, so once he gets it into this format.
147 00:18:57.140 ⇒ 00:19:05.820 Robert Tseng: we’ll be able to get like the other offline, like, non pay like non. These channel likes
148 00:19:05.980 ⇒ 00:19:12.680 Robert Tseng: like budget and into the into the mer calculation. But that’s yeah. That’s that’s that’s an.
149 00:19:12.680 ⇒ 00:19:28.870 Sahana Asokan: The other question I also had was, I know we had talked about this last week about the north beam data and how we wanna potentially see if we can fix how certain some of those pre calculated fields are being defined. I think that was probably one of the next steps.
150 00:19:30.080 ⇒ 00:19:55.339 Robert Tseng: Yeah, well, so I think we’re because we’re like not going. We’re north. Northeas can disappear like, I don’t think we’re gonna fix the Northea model, I think whatever it is, for now, like there’s the logic they’ve been running off of. Yes, like there’s gonna be an adjustment in the way that we do direct kind of integrations with them. So we’ve already set up most of the platform. I’m still just waiting for the team to
151 00:19:55.590 ⇒ 00:20:06.459 Robert Tseng: click buttons to get reddit and Tiktok hooked up. But everything else is kind of ready to go on on this list. So yeah, I think once we have that in there? We can.
152 00:20:07.080 ⇒ 00:20:12.370 Robert Tseng: Yeah, yeah, I think we we can. We can. We can make more pro, we can make progress towards that.
153 00:20:14.160 ⇒ 00:20:15.120 Sahana Asokan: That was good.
154 00:20:16.550 ⇒ 00:20:27.180 Robert Tseng: Okay, cool. I guess. Anything anything else outstanding folks that want wanna point out I I can go. I can go name by name. I guess this.
155 00:20:27.180 ⇒ 00:20:34.110 josh: What is this? That? What are we? What are we? What are we working through this week like, what are the big things that we’re gonna walk out of this week. Having done.
156 00:20:35.309 ⇒ 00:20:46.100 Robert Tseng: So I think it’s the like. The direct integrations with the ad platforms and the channels like I want. We’re just kind of getting getting the
157 00:20:46.620 ⇒ 00:21:02.851 Robert Tseng: full the full mer and the Channel attribution reporting done like I. It was the demo was supposed to be shown to you like on Friday. But we haven’t finished connecting these because the team is just not connected rather than Tiktok. But
158 00:21:04.180 ⇒ 00:21:07.260 Robert Tseng: yeah. So I think that. And getting Vitesh’s
159 00:21:07.870 ⇒ 00:21:17.689 Robert Tseng: like data in, I think will just help us to really just call this done. Because, yeah, these are all the elements that he wanted. But as Sahana mentioned like Mer, is not
160 00:21:17.850 ⇒ 00:21:21.739 Robert Tseng: really. It’s not accurate yet, because we don’t have the full budget in here.
161 00:21:22.900 ⇒ 00:21:35.940 Robert Tseng: So that’s on the marketing side, I mean with Rebecca back, we can kind of bring her stuff out of blocked and and kinda continue pushing on the cxps stuff, Px stuff. So I think that’s that’s ready to bring back in
162 00:21:38.180 ⇒ 00:21:47.539 Robert Tseng: And then, I guess, with Danny like I have Zanodi kind of hooked up in here as well. So I wanted to show him like be one of the Zanodi reports.
163 00:21:51.580 ⇒ 00:21:58.980 josh: Got it. So finalize marketing metash report, get the direct integrations.
164 00:21:59.820 ⇒ 00:22:03.779 josh: Or is that is that the incremental thing? Or is that just?
165 00:22:04.240 ⇒ 00:22:05.860 josh: Is that just our own.
166 00:22:05.860 ⇒ 00:22:10.709 Robert Tseng: Yeah, this is just our own. Like all, all of all of our own marketing data.
167 00:22:12.570 ⇒ 00:22:13.320 josh: Okay.
168 00:22:14.640 ⇒ 00:22:19.860 Robert Tseng: So it’s it’s more of like a migration like, what does it look like to wean us off of North Beam?
169 00:22:21.170 ⇒ 00:22:27.419 josh: Okay, and then and then Rebecca’s stuff this week.
170 00:22:27.900 ⇒ 00:22:30.540 Robert Tseng: Yeah, we can. We can bring. We can bring that back in.
171 00:22:33.750 ⇒ 00:22:35.470 josh: Okay, I’m good with that.
172 00:22:37.560 ⇒ 00:22:38.210 Robert Tseng: Okay?
173 00:22:41.920 ⇒ 00:22:55.184 Robert Tseng: yeah. So okay, I think like stuff that’s in feedback here. And Lot, I know that we had this alert. I think this should be ready to go. And you have a couple of fixes there and then. Yeah, we’re just gonna push and kind of push all and all these things?
174 00:22:55.630 ⇒ 00:23:03.639 Robert Tseng: so we can. I guess, Sahana, if anything, I’ll kind of I I think we maybe we should connect to see what we need to re re
175 00:23:03.860 ⇒ 00:23:07.619 Robert Tseng: to get to get the cxpx stuff rolling again.
176 00:23:08.080 ⇒ 00:23:12.539 Sahana Asokan: Okay, I think it was mainly yeah. Hearing back from Rebecca, I don’t think we have.
177 00:23:12.840 ⇒ 00:23:14.379 Sahana Asokan: But yeah, we can chat.
178 00:23:14.650 ⇒ 00:23:15.340 Robert Tseng: Okay.
179 00:23:15.340 ⇒ 00:23:17.050 josh: So she’s back this week.
180 00:23:17.770 ⇒ 00:23:24.790 Robert Tseng: Okay, I mean, we do have a few minutes left. So maybe we just kind of kind of just talk through like, what? What feedback do we want specifically from her.
181 00:23:25.102 ⇒ 00:23:47.309 Sahana Asokan: Just basically she. She was also really interested. There were 2 dashboards out right, the Zendesk agent dashboard, and then the other one was the customer. Order, journey, dashboard. I think he was really interested in the customer. Order, journey, dashboard for the pharmacy, level metrics, and just some of the aggregate views. I think the feedback I’m looking for is what else she wants to see in that
182 00:23:47.420 ⇒ 00:23:53.070 Sahana Asokan: dashboard, and how she essentially just wants us to iterate on it like we just haven’t gotten any feedback yet.
183 00:23:53.640 ⇒ 00:23:57.939 Robert Tseng: Okay, I’ll I’m gonna go in that channel we have with her.
184 00:23:58.170 ⇒ 00:24:00.580 Robert Tseng: Let’s just set up time with her and get her on a call.
185 00:24:00.580 ⇒ 00:24:08.739 Sahana Asokan: Yeah, me akash and her met, I think, before she left on vacation, so she said she would get back to us. So yeah.
186 00:24:09.140 ⇒ 00:24:09.850 Robert Tseng: Okay.
187 00:24:15.720 ⇒ 00:24:25.100 Robert Tseng: okay? Yeah. I mean, there’s some stuff in the backlog. But let’s just get these through for today. I think by by tomorrow we should have some more more stuff to tee off.
188 00:24:25.220 ⇒ 00:24:27.270 Robert Tseng: because I think all this will probably close out.
189 00:24:29.300 ⇒ 00:24:31.890 Robert Tseng: Yeah. Anybody else have any other questions.
190 00:24:38.360 ⇒ 00:24:41.379 josh: So let’s deal with the Zack thing.
191 00:24:42.450 ⇒ 00:24:46.999 josh: How you and Rob wanna approach that. Let me know.
192 00:24:47.200 ⇒ 00:24:56.919 Robert Tseng: Yeah, Rob’s gonna do like a full manual. He’s gonna do his manual. Then we do the manual audit. I’m not gonna egg Zach on any longer until Rob looks that looks at that, and then
193 00:24:57.120 ⇒ 00:25:03.860 Robert Tseng: then we can maybe seems like we need a bit more filtering to like make the requests
194 00:25:04.180 ⇒ 00:25:09.139 Robert Tseng: more palatable, so maybe I’ll run the message by you next time, Josh, before we send it to him.
195 00:25:10.400 ⇒ 00:25:13.889 josh: Yeah, he’s just a little baby. So you gotta treat him like a baby.
196 00:25:18.200 ⇒ 00:25:18.790 josh: Okay.
197 00:25:19.210 ⇒ 00:25:23.450 Robert Tseng: Well, I think that’s good. I think we’re good. Yeah, thanks. Everyone.
198 00:25:23.830 ⇒ 00:25:24.530 josh: Thanks.
199 00:25:24.880 ⇒ 00:25:27.070 rob: Thanks guys, yeah.