Meeting Title: Honey Stinger Project Check-in Date: 2025-11-18 Meeting participants: Robert Tseng, Henry Zhao
WEBVTT
1 00:01:18.860 ⇒ 00:01:21.169 Robert Tseng: Alright, reset pipeline.
2 00:05:00.580 ⇒ 00:05:01.330 Henry Zhao: Are you there?
3 00:05:02.550 ⇒ 00:05:03.379 Robert Tseng: Yeah, I’m here.
4 00:05:03.380 ⇒ 00:05:04.020 Henry Zhao: Okay.
5 00:05:06.910 ⇒ 00:05:09.120 Robert Tseng: I was just looking at other things.
6 00:05:10.940 ⇒ 00:05:12.360 Henry Zhao: Yeah, just let me know when you’re ready.
7 00:05:13.600 ⇒ 00:05:19.269 Robert Tseng: Yeah, I mean, I’m ready. I just… I guess Zoom doesn’t tell me when you join, because I was… I was just sitting here for a while.
8 00:05:20.730 ⇒ 00:05:21.260 Robert Tseng: Yeah.
9 00:05:22.190 ⇒ 00:05:27.189 Henry Zhao: Alright, we can talk about… Anything else first, and then go to Honey Stinger, I guess.
10 00:05:28.230 ⇒ 00:05:32.959 Robert Tseng: Yeah, no, I don’t have anything else than Connie Singer’s main thing I care about.
11 00:05:33.690 ⇒ 00:05:39.070 Henry Zhao: Okay, can you tell me a little bit more, first, about, though, your call with Byron, and
12 00:05:39.880 ⇒ 00:05:42.339 Henry Zhao: Kind of the feedback that you shared in the Honey Stinger chat?
13 00:05:43.190 ⇒ 00:05:50.789 Robert Tseng: Yeah, I think with, well, I think you gave me a deck on, like, Klaviyo…
14 00:05:52.180 ⇒ 00:06:00.710 Robert Tseng: I mean, for whatever… I don’t know where things kind of broke down. I think I… I’ve made two changes, significant changes this week. I’ve basically kind of…
15 00:06:00.900 ⇒ 00:06:08.569 Robert Tseng: move UTAM off PM for all strategy and analysis kind of work. I just feel like it’s not, like…
16 00:06:09.350 ⇒ 00:06:18.730 Robert Tseng: whatever we were doing, it just doesn’t seem like it’s working, so I just felt like that needed to change. Like, things were just getting lost in translation, people weren’t working on things that I thought was important.
17 00:06:18.770 ⇒ 00:06:32.149 Robert Tseng: We were not really putting things out in front of clients. Like, I… the README thing is still kind of, like, I cannot believe that it’s been a month and nobody has answered this question, so I’m, like, literally in Mongo, like, teaching myself how to run queries right now.
18 00:06:32.370 ⇒ 00:06:40.879 Robert Tseng: And with Honey Stinger, it’s been 3 weeks, and we haven’t put out anything that’s really worth sharing at this point. So,
19 00:06:40.960 ⇒ 00:06:58.490 Robert Tseng: Yeah, I guess, like, after getting your deck last Thursday, I spent, like, about 45 minutes kind of poking around in… in, DuckDB, kind of saw this Amazon opportunity, suggested it to Byron, told him we should pivot. We’re not really gonna be able to find, like, the probabilistic matching that we wanted to.
20 00:06:58.690 ⇒ 00:07:03.099 Robert Tseng: And… yeah, there we go. That’s kind of where we’re at today, so…
21 00:07:03.350 ⇒ 00:07:04.159 Henry Zhao: Okay, got it.
22 00:07:04.160 ⇒ 00:07:04.780 Robert Tseng: Yeah.
23 00:07:05.590 ⇒ 00:07:14.929 Henry Zhao: Okay, that makes sense with the context then, because, yeah, last week when I was working on Honey Stinger, I didn’t… I hadn’t seen the scoping document, I hadn’t seen the, obviously, the call with Byron that hadn’t happened yet.
24 00:07:15.310 ⇒ 00:07:32.899 Henry Zhao: And so my task was to literally just go into Klaviyo and just kind of look through the data, understand it, and just basically tell Byron that, like, this is what we’re seeing, like, is this data correct? So we know where to go from. And I had even asked Utem, I was like, isn’t some of this, like, he’s gonna be, like, obvious, that’s obvious.
25 00:07:32.900 ⇒ 00:07:37.379 Henry Zhao: So that’s why I didn’t present anything on, like, open rates or anything like that. So yeah.
26 00:07:37.420 ⇒ 00:07:41.300 Henry Zhao: I think there was some, like, stuff lost in communication, and I just…
27 00:07:41.460 ⇒ 00:07:49.420 Henry Zhao: didn’t have, I guess, enough context to know, like, what you actually wanted to share with Byron. So I think if we’re working together on this moving forward, I think we can have…
28 00:07:50.230 ⇒ 00:07:53.589 Henry Zhao: Maybe clearer communication on what we should be doing moving forward.
29 00:07:53.590 ⇒ 00:07:54.250 Robert Tseng: Yeah.
30 00:07:54.720 ⇒ 00:08:01.110 Robert Tseng: I mean, I don’t… I think that whatever’s happened has happened, but I… Did you, like…
31 00:08:01.250 ⇒ 00:08:08.320 Robert Tseng: Did you look at anything regarding Honey Stinger before you started looking in DeepTV? Like.
32 00:08:08.610 ⇒ 00:08:09.160 Henry Zhao: Yeah.
33 00:08:09.370 ⇒ 00:08:10.330 Henry Zhao: I went to their website.
34 00:08:10.330 ⇒ 00:08:13.649 Robert Tseng: We had, like, a… we had a project doc with them, like…
35 00:08:13.850 ⇒ 00:08:23.009 Robert Tseng: there was nothing in the project doc that said, like, Klaviyo, or, like, Klaviyo was not, like, highlighted anywhere. So, like, I just… I don’t know why, we started at Klaviyo.
36 00:08:23.600 ⇒ 00:08:36.770 Henry Zhao: Well, honestly, like, if you hadn’t talked to me, and I had just read this last week, I probably still would have thought Klaviyo was the, priority, because you guys have mentioned, like, the Klaviyo fatigue so many times in here, it just seems like it’s high pri.
37 00:08:36.950 ⇒ 00:08:47.919 Henry Zhao: So I don’t know if we need to make a document for internal when we start a new client of, like, what you think the actual high priorities are, and just kind of summarize that for us before we dig in.
38 00:08:48.440 ⇒ 00:08:53.150 Henry Zhao: Yeah, well… I was reflecting. If I had read this last week, I still would have probably focused on Klaviyo.
39 00:08:57.520 ⇒ 00:08:58.110 Henry Zhao: because…
40 00:08:58.110 ⇒ 00:08:58.820 Robert Tseng: Well…
41 00:08:58.820 ⇒ 00:09:03.260 Henry Zhao: stitching at Amazon Walmart. We had said we can’t do it because there’s no identifiers.
42 00:09:03.390 ⇒ 00:09:09.930 Henry Zhao: So I would have skipped to the next one, which is, like, address CRM audience coverage to further activate subscribers, which to me is Klaviyo.
43 00:09:11.170 ⇒ 00:09:17.059 Robert Tseng: Yeah. From listening to the call with Byron, it seemed like their problem is not growth, it seems like they’re growing a lot.
44 00:09:17.060 ⇒ 00:09:21.150 Henry Zhao: They just don’t want to grow so much in e-commerce without growing the rest of their business.
45 00:09:21.640 ⇒ 00:09:30.450 Henry Zhao: And so that doesn’t sound like it’s something where, like, we would want to focus on this 10x growth strategy, but rather, like, how do we forecast properly so that they can
46 00:09:30.900 ⇒ 00:09:36.230 Henry Zhao: meet the demand, right? Like, obviously, if they’re about to grow 10X, they need to have 10x inventory available.
47 00:09:36.710 ⇒ 00:09:38.559 Henry Zhao: So that’s what I got out of that call.
48 00:09:39.130 ⇒ 00:09:39.970 Robert Tseng: Yeah.
49 00:09:41.030 ⇒ 00:09:44.480 Robert Tseng: I guess, like, once we kicked it off, pretty much Utah met with…
50 00:09:44.820 ⇒ 00:10:00.139 Robert Tseng: with Byron, I mean, the assignments were already made, it was you and Utam kind of going into Honey Stinger. I don’t know what happened in two weeks that it kind of just, like, went in this direction, which is fine, I think we just needed to course correct. But…
51 00:10:00.550 ⇒ 00:10:04.329 Robert Tseng: Yeah, I guess I can see that. I…
52 00:10:04.790 ⇒ 00:10:18.060 Robert Tseng: I guess I’m surprised that you have not talked to Byron, like, there’s not… I mean, there’s so many things that I was just like… we basically just started, and then did nothing for two weeks. Like, I don’t really know what happened. So…
53 00:10:18.610 ⇒ 00:10:28.160 Robert Tseng: you know, it is… it is what it is, like, I… I think, that’s why I’ve kind of put Honey Singer back under… under me, because I feel like…
54 00:10:28.400 ⇒ 00:10:31.439 Robert Tseng: We weren’t really getting anywhere.
55 00:10:32.690 ⇒ 00:10:36.879 Robert Tseng: Yeah. Okay. But, I see…
56 00:10:39.240 ⇒ 00:10:54.970 Robert Tseng: I think… I mean, I just… I spent one call with Byron, and kind of that, and that was… and kind of just adjusted things. Like, I don’t… I don’t really have anything else to say. It’s not like this is, like, premeditated, I thought about it for two weeks, or whatever. I just, like, on Thursday, I got what I got from…
57 00:10:56.050 ⇒ 00:11:05.209 Robert Tseng: from you, and then it was, like, I don’t really think this is what he wants to see, and so we just took it a different direction. I don’t really have anything more to say about that.
58 00:11:05.210 ⇒ 00:11:11.519 Henry Zhao: Okay, so summarizing after Aaron’s call, what do you think he wants to see? Because I’m not getting…
59 00:11:12.520 ⇒ 00:11:15.119 Henry Zhao: The forecasting part, I understand.
60 00:11:15.120 ⇒ 00:11:15.800 Robert Tseng: Yeah.
61 00:11:15.800 ⇒ 00:11:27.079 Henry Zhao: But I also don’t fully see how some of this is relevant to what he wants to see. Like, cleanup attribution issues created by Horizons, that seemed like something very, very small that you guys had mentioned in the call yesterday.
62 00:11:27.360 ⇒ 00:11:33.680 Henry Zhao: For me, the main takeaway was that they weren’t forecasting properly, and it grew a lot more than they had expected, and so…
63 00:11:33.840 ⇒ 00:11:37.059 Henry Zhao: Like, I guess the inventory wasn’t keeping up. That’s what I got from the call.
64 00:11:37.780 ⇒ 00:11:40.520 Robert Tseng: Yeah, I think that’s fair.
65 00:11:40.690 ⇒ 00:11:43.389 Robert Tseng: I’m not saying you should take this as, like.
66 00:11:45.120 ⇒ 00:11:45.680 Robert Tseng: like.
67 00:11:47.230 ⇒ 00:11:48.800 Henry Zhao: I know, I’m trying to work through this with you, like, as I work.
68 00:11:48.800 ⇒ 00:12:07.190 Robert Tseng: Yeah, yeah. So, I mean, I think I intentionally leave some things in there, because I want you to do the synthesis. Like, I couldn’t… I mean, I spent, like, 15 minutes putting this together. Like, I think, you know, so in total, I probably spent an hour doing stuff for Honey Stinger. I don’t know how long I spent you kind of going… going into things and looking at it, but, like.
69 00:12:07.250 ⇒ 00:12:16.479 Robert Tseng: Yeah, I think we just need to listen to what the stakeholders are saying, try to form an opinion, talk about it, like, I think, and we’ll dial it in.
70 00:12:16.590 ⇒ 00:12:33.320 Robert Tseng: I don’t mind these outlines, like, having more sprawl, because ultimately, like, what you bring into tickets is, like, what is actually going to be codified and what you’re going to be held accountable for. So, the outline is not meant to be a restrictive environment. Like, I think everything that we’ve discussed… that we discuss
71 00:12:33.320 ⇒ 00:12:37.240 Robert Tseng: should show up on there. I think it’s a good exercise.
72 00:12:37.290 ⇒ 00:12:49.760 Robert Tseng: for people to structure their thinking, to know what questions you’re trying to answer, what levers you’re able to pull. Some things will bubble up as higher priority than others, and, like, not everything ends up making it into tickets. I think that’s just how it is.
73 00:12:50.850 ⇒ 00:12:51.620 Henry Zhao: Okay.
74 00:12:51.620 ⇒ 00:12:52.070 Robert Tseng: Yeah.
75 00:12:52.070 ⇒ 00:12:58.269 Henry Zhao: We’ve talked about this before, but I still kind of want to go over it with you a little bit more, is when you get a new client.
76 00:12:58.540 ⇒ 00:13:08.770 Henry Zhao: it just seems like you and Utam are able to onboard, like, so quickly, like, within… it seems like you’re, like, within 3 days, you should have the analysis done and, like, understand the client, understand their data, understand their tools.
77 00:13:08.940 ⇒ 00:13:09.780 Henry Zhao: And, like.
78 00:13:10.020 ⇒ 00:13:24.779 Henry Zhao: I just don’t feel like it’s that fast, right? Like, so yesterday I was digging through the data, which I can use Cursor, I can use ChatGPT, but it’s like, there’s so many tables just in Amazon. Like, my first thing was, like, what is the difference between inventory manufacturing and inventory sourcing?
79 00:13:25.540 ⇒ 00:13:33.789 Henry Zhao: like, when a column says orders, I don’t know if that means Amazon is ordering it, or a human being is ordering it. Like, there’s things I need to onboard on.
80 00:13:34.060 ⇒ 00:13:44.010 Henry Zhao: And I don’t… it’s not like I worked at the same company for 15 years. I’ve worked in so many industries, like I’ve told you before, that I feel like I have a good base of knowledge, that I should be one of the faster ones to onboard.
81 00:13:44.290 ⇒ 00:13:44.800 Robert Tseng: Yeah.
82 00:13:44.800 ⇒ 00:13:54.640 Henry Zhao: feels like I’m missing something that you and Utam have in terms of experience that can get me able to pivot and onboard some new clients really quickly. You know what I’m trying to ask?
83 00:13:55.050 ⇒ 00:14:17.200 Robert Tseng: Yeah, I mean, I think what you’re… I mean, I did the same thing. I just, like, opened Mother Duck, and I clicked through every table, I looked at every table, and then I tried to just… I mean, I don’t… I don’t think I did the most thorough job. Like, I think the frustrating part for me is, like, I don’t have that much time to spend on these either. Like, I would love to just, like, be told, work on Honey Stinger 10 hours a week, like, I feel like I could do a lot more. So, like, I…
84 00:14:17.200 ⇒ 00:14:24.869 Robert Tseng: you know, what you’re doing is more or less what I’m doing. I’m not trying to say you need to do it faster or slower, but, like.
85 00:14:24.930 ⇒ 00:14:41.360 Robert Tseng: I don’t care how many hours you put in… I mean, I care… I mean, you don’t… I’m not saying you have to do it super fast, but to… once again, I’m just… I’m just thinking from the client perspective. So, you know, whatever we need to do to, like, kind of… to… to…
86 00:14:42.010 ⇒ 00:14:55.970 Robert Tseng: to meet, like, our commitments, like, I think that’s… that’s all I… that’s… that’s what I… that’s what I’m doing when I’m pushing, and not, like, trying to, like, make any other, like, comments around, like, what you should and shouldn’t do.
87 00:14:56.550 ⇒ 00:15:00.929 Henry Zhao: Yeah, because I feel like if I don’t go through all the tables, and if I just, like, ask Cursor, or just ask.
88 00:15:01.420 ⇒ 00:15:17.980 Robert Tseng: I absolutely don’t think you should do that. I mean, I’m less… I’m less AI-forward than most of the team is, probably. Like, I think there’s just too much AI schlop that’s being tossed around in this game, to be honest, so, like, I… for analysis work, I don’t think you can get away with it, because it just…
89 00:15:17.980 ⇒ 00:15:33.519 Robert Tseng: you’re gonna end up with a bunch of stuff that’s, like, so fragmented that’s not really going to make sense. Like, I do think, ultimately, you’re communicating, like, a story to a person, and so it needs to make sense to you, if it’s going to make sense, yeah.
90 00:15:33.520 ⇒ 00:15:39.940 Henry Zhao: So basically what I did is, like, I went through all the tables like you, I listed down the ones that I think are important to answer the questions that we want to.
91 00:15:40.660 ⇒ 00:15:49.130 Robert Tseng: Yeah, I mean, at first glance, I think those are the same tables I looked at, which is… makes sense to me. That’s how I ended up pulling together that approach, but yeah.
92 00:15:49.280 ⇒ 00:15:53.719 Henry Zhao: But I’m still, like, a little bit confused of, like, the difference between sourcing, manufacturing, and then business and retail.
93 00:15:54.380 ⇒ 00:16:10.519 Henry Zhao: And also, that’s kind of the approach I took for Klaviyo, too, is like, I literally went through all the events, we found out they were the events table, there’s 128 events, some of these are wrong, some of these are correct. Like, I had to go through all of them and figure out what they are, because ChatGPT wasn’t even correct on what Rekindled unveiled is. Like, they didn’t know…
94 00:16:10.520 ⇒ 00:16:11.110 Robert Tseng: They are.
95 00:16:11.970 ⇒ 00:16:18.480 Robert Tseng: Well, I don’t think you know what it is, even by looking at it. So, Unveiled is their agency that they’re using to set up Krivio.
96 00:16:18.790 ⇒ 00:16:33.939 Henry Zhao: Yeah, I see that now in, like, your deck, so now I understood. And then I had the ones that are ignored because they’re either out of date or whatever. Great, yeah. Even for Amazon, like, this rapid retail table has what I need, but it only has data until October. So, since October, so…
97 00:16:34.030 ⇒ 00:16:39.039 Henry Zhao: I was able to, like, pull data, but I only had data since the beginning of October.
98 00:16:39.410 ⇒ 00:16:40.010 Robert Tseng: Yeah.
99 00:16:40.010 ⇒ 00:16:42.930 Henry Zhao: So, if I want to get things done quickly.
100 00:16:43.380 ⇒ 00:16:53.280 Henry Zhao: what should I do next to, like, see if I can get data from before this? I went into Fivetran, I don’t know if I could… it’s such a setup in Fivetran, I don’t know how I can look into getting this backfilled to before then.
101 00:16:53.910 ⇒ 00:17:04.310 Robert Tseng: Yeah, I mean, I would say, like, it’s… the DEs should be the ones that are going to go fetch missing data. Like, if you’re missing historical data, they should go figure that out. I think you…
102 00:17:04.690 ⇒ 00:17:11.580 Robert Tseng: Yeah, I mean, this is… this is exactly how I would do it as well. Like, I don’t really try to…
103 00:17:11.930 ⇒ 00:17:19.800 Robert Tseng: like, I’ll export things into spreadsheets, and, like, I’ll go and at least form a point of view on what’s there. And then, if I need to, like.
104 00:17:20.060 ⇒ 00:17:24.859 Robert Tseng: backfill, then that’s something that I can… I can work in parallel with them on.
105 00:17:25.619 ⇒ 00:17:43.439 Henry Zhao: Okay, so these are the questions I think that I’d like to answer in this first pass round. So first, this has come from our discussion and from your spreadsheet. So one is analyze Amazon PO trends over time by ASIN. So I have this more historical, so I just want to look at how much Amazon is ordering from us, because this is the important thing, right? Like, how much inventory do they need to have available?
106 00:17:43.999 ⇒ 00:17:49.889 Henry Zhao: And this ties in also to the manufacturing tables, because ChatGPD says manufacturing is how we bring
107 00:17:50.389 ⇒ 00:17:55.849 Henry Zhao: inventory to Amazon, and then sourcing is how Amazon brings it to the customer, right? So that’s what I think.
108 00:17:56.399 ⇒ 00:17:58.259 Henry Zhao: And I’ll pull it to see if it makes sense.
109 00:17:58.429 ⇒ 00:18:04.969 Henry Zhao: The next question I want to answer is Amazon’s forecast values against actual order values. So, Amazon does forecasting.
110 00:18:05.989 ⇒ 00:18:09.849 Henry Zhao: Where they do forecast… ugh, I hate that there’s no, like, preview here.
111 00:18:11.059 ⇒ 00:18:12.299 Henry Zhao: Or is there? Actually, there is.
112 00:18:12.300 ⇒ 00:18:16.269 Robert Tseng: Yeah, there is, there is. If I had known that earlier.
113 00:18:16.670 ⇒ 00:18:20.449 Henry Zhao: It’s the… it’s one of these tables where it has, like, a weekly forecast, right?
114 00:18:20.450 ⇒ 00:18:21.539 Robert Tseng: Yeah, yeah, I’ve seen it, yeah.
115 00:18:21.800 ⇒ 00:18:27.209 Robert Tseng: So I was just gonna match this one with the actual, just to see if it aligns.
116 00:18:27.900 ⇒ 00:18:31.819 Henry Zhao: And I’m guessing it would just be P90 times… or, I don’t know.
117 00:18:32.350 ⇒ 00:18:34.109 Henry Zhao: I don’t know how to calculate P100.
118 00:18:34.660 ⇒ 00:18:38.069 Robert Tseng: Yeah, I don’t really know what those necessarily are, either.
119 00:18:38.070 ⇒ 00:18:46.280 Henry Zhao: at the mean, actually, right? So I would look at percentage that hits as around the mean, percentage that fits within P90, right?
120 00:18:46.570 ⇒ 00:18:49.319 Henry Zhao: Alpha equals .05 or less. Yep.
121 00:18:50.110 ⇒ 00:18:57.939 Henry Zhao: How do sales and PO amounts differ between high and non-high? So this answers your question of, like, reverse engineer Amazon’s highly available inventory behavior.
122 00:18:59.490 ⇒ 00:19:05.989 Henry Zhao: And I think a item can be high one week and not high another week, but I need to check that.
123 00:19:06.890 ⇒ 00:19:16.529 Henry Zhao: Search terms analysis is a little bit lower priority, so if I have time, I want to look at which search terms led to the most sales of which product. This will also allow me to clean out the Horizon Canada data.
124 00:19:17.710 ⇒ 00:19:22.829 Henry Zhao: And then, are there traffic trends, and do they align with purchase volumes and PO volumes, right? So, like, around…
125 00:19:23.150 ⇒ 00:19:37.150 Henry Zhao: Christmas, do people search more for certain products, and do those volumes spike? Or do certain products not spike, even if traffic goes up, right? So, that answers some of the elasticity stuff you were talking about, and also helps us with the forecasting.
126 00:19:40.740 ⇒ 00:19:43.990 Henry Zhao: Do you think that’s kind of along the lines of a story we want to tell?
127 00:19:43.990 ⇒ 00:19:52.559 Robert Tseng: Yeah, I mean, realistically, I think you could only do the first three, like, probably… I mean, I don’t know if you’ll get to the last two, but, like, I think that’s… that’s what I’m… that’s what I’m looking for.
128 00:19:52.700 ⇒ 00:19:54.519 Robert Tseng: Yeah, so…
129 00:19:55.550 ⇒ 00:20:00.439 Henry Zhao: Okay, in the meantime, I’m asking Mustafa for help to get the geographical and fulfillment centers data.
130 00:20:00.830 ⇒ 00:20:09.070 Robert Tseng: I don’t think you’ll be able to get FC data. Geography data is also not something that they’re collecting currently, because they’re not using 3P.
131 00:20:09.370 ⇒ 00:20:16.070 Robert Tseng: I’m asking them to see if their Amazon person has any of that data somewhere else.
132 00:20:16.070 ⇒ 00:20:16.470 Henry Zhao: Yeah.
133 00:20:16.470 ⇒ 00:20:20.309 Robert Tseng: So, I mean, there’s an email thread chain that we started.
134 00:20:20.860 ⇒ 00:20:23.120 Robert Tseng: That I can loop you into.
135 00:20:23.280 ⇒ 00:20:33.009 Henry Zhao: Okay, and I read that you can’t infer FC just from the order’s location, right? Like, even if I knew somebody was ordering in Nashville, I can’t really infer their FC, because I think Amazon’s supply chain is pretty complex.
136 00:20:33.910 ⇒ 00:20:35.650 Robert Tseng: Yes.
137 00:20:35.940 ⇒ 00:20:52.129 Robert Tseng: But I don’t even think we get the order location, that’s the problem. I mean, so I was telling Myron he should slip in, like, an address, or, like, a zip code, or not a zip code, a QR code for his customers to scan it. That way, they’ll basically tell us what their location is.
138 00:20:52.880 ⇒ 00:20:57.010 Henry Zhao: Yeah, there was one that had location data, but I don’t… I think it was, like,
139 00:20:57.450 ⇒ 00:20:58.549 Henry Zhao: Here’s this one.
140 00:21:01.920 ⇒ 00:21:05.559 Henry Zhao: I think it was, like, ordering, like, Yeah, this one.
141 00:21:07.220 ⇒ 00:21:13.950 Henry Zhao: So this vendor retail procurement order has address data, and it’s all null. Oh, this is very helpful, this no data stuff.
142 00:21:14.100 ⇒ 00:21:18.179 Henry Zhao: But I think it’s all null, and this is probably even just
143 00:21:18.340 ⇒ 00:21:20.849 Henry Zhao: Amazon procuring from Honey Stinger, right?
144 00:21:21.640 ⇒ 00:21:25.820 Robert Tseng: Yeah, okay, hold on, I need to… I’ll be back. I need to go… the delivery person’s not coming.
145 00:23:18.040 ⇒ 00:23:19.699 Robert Tseng: Okay, I’m back.
146 00:23:21.590 ⇒ 00:23:35.549 Henry Zhao: Okay, so I’ll get those three done for sure by today, and then after my meetings, I need some time to call Michelle from Pharmetica and just get the data ready for Eden, but I have everything on my end ready, I have the API documentations, I have the columns that I need, so I just need to call Michelle and get that API key.
147 00:23:35.670 ⇒ 00:23:40.610 Henry Zhao: And hopefully, I might need OASI’s help to get the API data for me.
148 00:23:41.400 ⇒ 00:23:42.010 Robert Tseng: Okay.
149 00:23:42.010 ⇒ 00:23:46.679 Henry Zhao: It looks like the Pharmatica API is pretty complex, and I just don’t have enough time, I think, to figure it out.
150 00:23:47.410 ⇒ 00:23:48.060 Robert Tseng: Okay.
151 00:23:48.920 ⇒ 00:23:49.580 Henry Zhao: Okay.
152 00:23:50.400 ⇒ 00:23:53.940 Henry Zhao: I think that’s pretty much it. Those are my high-pry items.
153 00:23:55.680 ⇒ 00:23:59.309 Henry Zhao: Pharmacy, and mixed panel training is tomorrow for Eden. I’m ready for that as well.
154 00:23:59.730 ⇒ 00:24:00.350 Robert Tseng: Okay.
155 00:24:04.530 ⇒ 00:24:06.510 Henry Zhao: Alright, anything else?
156 00:24:09.320 ⇒ 00:24:15.770 Robert Tseng: No, I’m… I’m going to Hong Kong tomorrow, so that’s why I’m not taking meetings in the, like, pretty much after 1…
157 00:24:15.970 ⇒ 00:24:18.440 Robert Tseng: 1PM Eastern, for the next week.
158 00:24:19.800 ⇒ 00:24:23.299 Henry Zhao: Okay, so who should I align with with the Honey Stinger data?
159 00:24:24.250 ⇒ 00:24:30.640 Robert Tseng: No, I mean, you should meet with me, but, like, I will just be in… they’re only available in the mornings.
160 00:24:30.640 ⇒ 00:24:32.859 Henry Zhao: Okay, I’m free all hours of the day.
161 00:24:33.760 ⇒ 00:24:39.379 Robert Tseng: Yeah, so, I mean, I guess pretty much I will be online until 1.
162 00:24:39.940 ⇒ 00:24:44.770 Robert Tseng: I will be available for meetings pretty much from, like, 8 PM, or 8…
163 00:24:45.190 ⇒ 00:24:49.190 Robert Tseng: 8 a.m. to 1P… about 1PM, Eastern.
164 00:24:50.200 ⇒ 00:24:50.870 Henry Zhao: Okay.
165 00:24:51.400 ⇒ 00:24:51.980 Robert Tseng: Yeah.
166 00:24:51.980 ⇒ 00:24:55.180 Henry Zhao: Even if after you get to Hong Kong, if you want to meet at, like, 3AM, 6 AM, it’s all fine.
167 00:24:55.580 ⇒ 00:24:56.699 Henry Zhao: We’ll just…
168 00:24:57.180 ⇒ 00:25:02.390 Henry Zhao: yeah, I just want… no, I’m saying, whatever’s easy for you, right? Like, you might have jet lag, you might get to the airport.
169 00:25:02.390 ⇒ 00:25:05.230 Robert Tseng: I’m not meeting you at 3 AM.
170 00:25:05.230 ⇒ 00:25:05.610 Henry Zhao: Okay.
171 00:25:05.610 ⇒ 00:25:09.840 Robert Tseng: I, like, I got the COVID vaccine yesterday because
172 00:25:10.160 ⇒ 00:25:24.360 Robert Tseng: like, meeting some old people on my… on Rachel’s side of the family. I’m, like, so out of it today. I can, like, my sentences, I feel like my words are coming out faster than my brain can… can… can articulate them, so…
173 00:25:24.360 ⇒ 00:25:24.800 Henry Zhao: Gotcha.
174 00:25:24.800 ⇒ 00:25:30.650 Robert Tseng: Actually, I said that wrong. It’s, the words are coming out faster than my brain can think them, so…
175 00:25:30.650 ⇒ 00:25:35.820 Henry Zhao: I apologize if things are, feel kind of slow.
176 00:25:36.330 ⇒ 00:25:37.539 Henry Zhao: No worries, feel better soon.
177 00:25:38.010 ⇒ 00:25:47.080 Robert Tseng: Yeah, I mean, I hope this is just a one-day thing. I should have done this, like, over the weekend, so I would have been fine. I didn’t realize I would react this way.
178 00:25:47.920 ⇒ 00:25:53.620 Henry Zhao: Yeah, because the fourth time I took the vaccine, I, like, didn’t feel anything, so… I think it should be gone soon.
179 00:25:53.930 ⇒ 00:25:56.479 Robert Tseng: Okay, that’s good to hear. Yeah.
180 00:25:57.150 ⇒ 00:25:57.540 Henry Zhao: Cool.
181 00:25:57.540 ⇒ 00:26:05.460 Robert Tseng: Alright, well, all good. I mean, I think there’s some miscommunication. I think the way that we’re running the analysis stuff just needed to change.
182 00:26:07.330 ⇒ 00:26:14.609 Robert Tseng: Yeah, I mean, okay, I apologize if you felt like you were being, I don’t know, like, you were taking the blunt of it.
183 00:26:14.610 ⇒ 00:26:18.529 Henry Zhao: No, but I feel… hopefully I’m doing better than README now, like, at least.
184 00:26:18.710 ⇒ 00:26:23.030 Robert Tseng: Yeah, yeah, yeah. I think,
185 00:26:23.170 ⇒ 00:26:25.729 Robert Tseng: I mean, there’s a lot we can say, but I think I will…
186 00:26:25.730 ⇒ 00:26:28.860 Henry Zhao: REME, I was, like, completely lost. Like, REME, I just had, like, no…
187 00:26:29.520 ⇒ 00:26:35.880 Henry Zhao: Like, I seriously watched our call with Alicia, like, 3 times. I was just like, I still don’t know what we need to do.
188 00:26:36.130 ⇒ 00:26:38.739 Henry Zhao: So this one’s more guided now.
189 00:26:39.470 ⇒ 00:26:58.400 Robert Tseng: Okay. Yeah. Cool. Well, I mean, yeah, I think, you know, it’s from, like, an approach perspective, like, your approach makes sense, like, that’s how I approach it, too. Maybe I’m, like, skipping a couple steps, or making… more confident in making some assumptions that I could be wrong in, and so maybe that’s just, like, the difference in… in, like, how fast we pick something up, but, like.
190 00:26:58.850 ⇒ 00:27:03.979 Robert Tseng: I don’t think there’s anything wrong with your approach, there’s nothing I would tell you to do differently. I think it’s really just,
191 00:27:04.600 ⇒ 00:27:15.590 Robert Tseng: you know, every… every… especially the new projects, when there isn’t… the documentation isn’t there, like, I think so much more important for you to kind of structure, like, how you’re planning things out.
192 00:27:15.720 ⇒ 00:27:25.959 Robert Tseng: Right? Like, every… every workflow, every project, you know, I was telling this to Amber early, it doesn’t matter what type of client we’re supporting, everybody that we support,
193 00:27:26.120 ⇒ 00:27:34.540 Robert Tseng: Whether it’s in product, or marketing, finance, or ops, there is some strategy piece to it where we have to structure our thinking and how we’re approaching it.
194 00:27:34.540 ⇒ 00:27:52.440 Robert Tseng: Then there’s the execution phase, where maybe, you know, we have… it becomes like a co-authored responsibility, where we’re producing the data, whatever the recommendations, and then there’s some handoff where we’re trying to drive them to implement, like, what we’re recommending. I think she struggles more on the…
195 00:27:52.440 ⇒ 00:28:10.070 Robert Tseng: implementation side, like, I can tell, like, I think Amber’s, like, deck quality is pretty good. She, like, pulls out good nuggets here and there. I think, you know, I mean, I haven’t worked with you enough on the analysis side, but I feel like, you know, for you, maybe it’s just, like, getting the… that… the initial part kind of,
196 00:28:10.180 ⇒ 00:28:29.680 Robert Tseng: you know, organized, and then you can kind of run with it. I mean, at the implementation side, I don’t… I don’t doubt your ability there. Obviously, you implemented segment, you have a low customer I.O, you do mixed panel, so, like, I have no second thoughts about you… you on that side. So, we’re just trying to, you know, I’m just pointing out, like, maybe that’s, like, an area where we can… we can talk about more.
197 00:28:29.680 ⇒ 00:28:33.630 Henry Zhao: It’s like knowing the story that I want to tell, and what they would actually care about.
198 00:28:33.800 ⇒ 00:28:38.189 Henry Zhao: And then how do I communicate that to them in a deck? So I think that’s the…
199 00:28:38.360 ⇒ 00:28:40.280 Henry Zhao: That’s the bridge I need to fix.
200 00:28:40.280 ⇒ 00:28:42.339 Robert Tseng: Yeah. Yes, yeah.
201 00:28:42.520 ⇒ 00:28:54.929 Robert Tseng: Yeah, Deck or not, like, I think, if I can say one more thing, is like, I think you ask good questions, you don’t hesitate to ask them, which is fine. I think sometimes when you come to a client that doesn’t know you well, and you ask too many questions up front.
202 00:28:55.170 ⇒ 00:29:02.810 Robert Tseng: you know, that’s actually not necessarily a good thing, because people think that you don’t know what you’re doing. And so rather, if you can even just…
203 00:29:02.840 ⇒ 00:29:22.039 Robert Tseng: form a point of view and say, hey, I’ve looked at whatever, and this is how I see things. I have some questions that I’d like to kind of confirm against my assumptions. Like, even framing it that way, I feel like, makes you feel like you’re more… you’re more researched and kind of prepared coming into it. So, yeah, I think that’s maybe just, like.
204 00:29:22.150 ⇒ 00:29:25.919 Robert Tseng: like, you know, some feedback on the stakeholder management side, so…
205 00:29:25.920 ⇒ 00:29:37.519 Henry Zhao: Yeah, and I think that’s what I was trying to do with the last week’s deck, is, like, I didn’t talk to Byron. At first, I just pulled the checkout, started, saw the spikes, and I said, this doesn’t make sense, because there’s no spikes in purchases or email opens.
206 00:29:37.840 ⇒ 00:29:52.889 Robert Tseng: Yeah. And that work is not, like, useless. Like, you’re gonna come back to it. I just think that the Quaviyo piece is more kind of like an after BFCM kind of situation. Right. Which you didn’t know, because you didn’t talk to Byron. So I am a bit, like, kind of, like, confused why you were not, like, talking to Byron before.
207 00:29:52.890 ⇒ 00:30:03.610 Robert Tseng: it’s fine, like, we’re gonna get you… whether… I know you’re out, whether this week or, like, that will change. But, yeah, so anyway, so we’ll fix that.
208 00:30:04.230 ⇒ 00:30:12.450 Henry Zhao: Yeah, or if you record, like, the sales call, and you just talk about, like, what are the priorities, that, I think, is helpful to watch before I get started on anything, also.
209 00:30:12.640 ⇒ 00:30:29.349 Robert Tseng: I usually do, when I share calls, I don’t really just say, watch this. Like, I try to, like, write out manually what I think the takeaways should be for who I’m sending it to. At least, you know, but if that’s not enough, then I can probably do a little more.
210 00:30:29.350 ⇒ 00:30:37.999 Henry Zhao: Can you write that out, like, just make sure what the high priorities are, because, like, just like I said, from what I read the scoping doc, it seemed like the fatigue was, like, the high priority, because it was mentioned so many times.
211 00:30:38.260 ⇒ 00:30:49.490 Robert Tseng: Yeah, I guess we kind of already adjusted that after the kickoff call, which there was, like, yeah, I mean, this is where the project docs don’t really catch up, so, to where… to how fast we’re moving, and there’s… it’s just not realistic for us to…
212 00:30:49.800 ⇒ 00:30:54.210 Robert Tseng: have somebody to just be writing those docs. So, yeah.
213 00:30:55.760 ⇒ 00:30:59.469 Henry Zhao: Okay, I got a call with Awash now, but thank you, and have safe travels.
214 00:30:59.820 ⇒ 00:31:01.950 Robert Tseng: Thanks. Alright, talk to you later. Bye, Henry.