Meeting Title: Brainforge x ABC Home and Commercial: Weekly Project Check Date: 2025-05-29 Meeting participants: Uttam Kumaran, Janiecegarcia, Amber Lin, Steven
WEBVTT
1 00:00:47.700 ⇒ 00:00:54.590 JanieceGarcia: ask Eric how to ask him how to show you ask him to show you how to update that so they both end up that way.
2 00:00:57.740 ⇒ 00:01:04.190 JanieceGarcia: But see now, it’s really it’s gonna be eye opening on. Okay. You were scheduling these. You were doing these. But
3 00:01:04.989 ⇒ 00:01:25.580 JanieceGarcia: where does it make sense now, and and you going over this and being able to really dive into it, and the route checking portion of the trash bin, you know, and and being able to really handle those routes. Now, it’s gonna be even more eye opening. Because now you’re like, I’m seeing it all the way around and not just on scheduling for what? A customer wants
4 00:01:30.360 ⇒ 00:01:33.130 JanieceGarcia: yeah.
5 00:01:38.190 ⇒ 00:01:53.500 JanieceGarcia: brand new for you, yeah, so that’s, why, I think you know, I was talking to you about this morning, and I think that you, focusing on the Triton stuff one, it’s gonna get off of Eric’s plate so that way he can focus on other things that I need him to focus on. But Triton is gonna be yours
6 00:01:53.650 ⇒ 00:01:57.940 JanieceGarcia: because you’ve already had your your toes dipped into it, you know.
7 00:01:58.050 ⇒ 00:02:07.000 JanieceGarcia: So and it’s kind of like the same with with Lizzie. She knows the pest side of things. She knows the field side of Pest. Now let’s bring it in and do the office side.
8 00:02:07.570 ⇒ 00:02:09.459 JanieceGarcia: So, yeah, hey, Steven.
9 00:02:10.970 ⇒ 00:02:13.000 Steven: Oh, hey! How’s it going.
10 00:02:13.340 ⇒ 00:02:18.798 JanieceGarcia: Good. How are you? Sorry I’m here? I was just blabbing to Gabby and Lizzie.
11 00:02:19.260 ⇒ 00:02:20.060 Steven: Problem.
12 00:02:23.740 ⇒ 00:02:25.230 JanieceGarcia: Hi, Miss Amber.
13 00:02:25.980 ⇒ 00:02:26.640 Amber Lin: Well.
14 00:02:28.600 ⇒ 00:02:33.729 JanieceGarcia: And Matt and Yvette are not going to be in this meeting, so.
15 00:02:34.570 ⇒ 00:02:35.400 Amber Lin: Okay.
16 00:02:36.450 ⇒ 00:02:38.009 JanieceGarcia: Are you in DC. Now? Amber.
17 00:02:38.010 ⇒ 00:02:42.125 Amber Lin: Yeah, I’m in. DC, wait, let me show you this is
18 00:02:42.940 ⇒ 00:02:47.739 Amber Lin: This is not my place. This is one of my
19 00:02:48.467 ⇒ 00:02:57.152 Amber Lin: my partner’s friends. Place is massive. I walked in. I was like, Wow! Is this what money smells like
20 00:02:58.010 ⇒ 00:03:03.570 Amber Lin: summer rights? What is it? Make a summer right like a summer.
21 00:03:03.570 ⇒ 00:03:05.420 JanieceGarcia: Vacation, type, thing.
22 00:03:05.752 ⇒ 00:03:08.080 Amber Lin: No, this like no, I meant the.
23 00:03:08.080 ⇒ 00:03:10.109 JanieceGarcia: Oh! Oh! Gotcha! Oh!
24 00:03:10.110 ⇒ 00:03:10.540 Amber Lin: Summarize.
25 00:03:10.540 ⇒ 00:03:17.169 Amber Lin: Alright! I’m right, warrior armor, I think, and here’s the other armor.
26 00:03:17.320 ⇒ 00:03:17.760 Steven: Cool.
27 00:03:19.980 ⇒ 00:03:21.769 Amber Lin: I was very stunned.
28 00:03:23.180 ⇒ 00:03:24.350 Amber Lin: Yeah.
29 00:03:25.351 ⇒ 00:03:46.170 Amber Lin: should be joining. So I was just on a call with him and our team to talk about a few things, and how we want to move forward. I know this week has been pretty short, because it’s only Thursday, and we started back on Tuesday, so not much time to get a lot of things done, a lot of stuff to catch up on on Tuesday, and so
30 00:03:46.380 ⇒ 00:04:02.010 Amber Lin: want to keep this meeting brief. Just talk about a few next steps of what we want to do. We’re just talking internally of developments we want to do for the trainer, Bot for Andy, and also for the dashboard as well. And
31 00:04:03.112 ⇒ 00:04:11.560 Amber Lin: I’ll send you guys an update after we finish them and tell you about what we wanted to do for the next steps. And
32 00:04:11.700 ⇒ 00:04:18.690 Amber Lin: I know, Janice, we didn’t get to meet earlier this week, so I just wanted to hear how things are going.
33 00:04:21.070 ⇒ 00:04:22.480 JanieceGarcia: They’re definitely going.
34 00:04:24.610 ⇒ 00:04:43.650 JanieceGarcia: I have not done a lot in regards to what we were doing last week. And that’s just because coming back from the yeah, coming back from the holiday. But no, that’s still. And Shannon’s on Pto today. Tomorrow and Monday, I’m actually on Pto tomorrow.
35 00:04:43.650 ⇒ 00:04:43.970 Amber Lin: Good.
36 00:04:44.290 ⇒ 00:04:50.320 JanieceGarcia: Monday. But we it’s still full focus for us. So.
37 00:04:50.780 ⇒ 00:05:03.260 Amber Lin: Totally. Yeah. And we are. We’re also just meeting in the team trying to catch up on things and driving a certain a few initiatives forward as well, and if we ever get times 8,
38 00:05:03.400 ⇒ 00:05:07.210 Amber Lin: I know you’re you say you are on Pto next week.
39 00:05:07.320 ⇒ 00:05:11.439 Amber Lin: but we’ll love to catch you before you go on Pto, or after you come back.
40 00:05:11.890 ⇒ 00:05:15.410 JanieceGarcia: Yeah, I mean, I can definitely stay back if you want me to.
41 00:05:15.750 ⇒ 00:05:16.939 JanieceGarcia: After this meeting.
42 00:05:16.940 ⇒ 00:05:24.486 Amber Lin: Hmm, sounds good. I’ll let you know. I think we ha, i have another meeting scheduled, but we’ll love to
43 00:05:25.620 ⇒ 00:05:31.409 Steven: What? So how did the visit go? You bet, coming up a little bit. Visit went well last week, Amber, and just.
44 00:05:31.410 ⇒ 00:05:35.290 Amber Lin: Yeah, it went. It went so well, I actually spent the whole day.
45 00:05:35.290 ⇒ 00:05:35.770 Amber Lin: Yeah.
46 00:05:35.770 ⇒ 00:05:54.279 Amber Lin: I came in at 8 30, and then left a little bit after Eva and Janice left, and was able to talk to not only all the Csrs I kind of said Hi to other divisions as well. Talk to all the past. Csrs. I was there in person, and also to all the
47 00:05:54.590 ⇒ 00:06:04.230 Amber Lin: the leadership team, like the not not the leader, like the level right below Yvet. All the amazing woman that we have on the team.
48 00:06:04.230 ⇒ 00:06:09.389 Amber Lin: Oh, really cool. Yeah. And I just said Hi to Bobby, which is.
49 00:06:09.390 ⇒ 00:06:09.989 Steven: Oh, there you go!
50 00:06:09.990 ⇒ 00:06:10.839 Amber Lin: Also very cool.
51 00:06:11.270 ⇒ 00:06:11.960 Steven: Yeah.
52 00:06:11.960 ⇒ 00:06:19.270 Amber Lin: Yeah, he has a cardboard version of himself in the meeting room next to it. Every time I think he’s there. Every time I see it.
53 00:06:19.520 ⇒ 00:06:20.230 Steven: No.
54 00:06:20.230 ⇒ 00:06:20.745 Amber Lin: Yeah.
55 00:06:21.260 ⇒ 00:06:24.630 Steven: Scares a lot of people, beautiful.
56 00:06:24.630 ⇒ 00:06:38.510 Amber Lin: Yeah, I think one of our network is not great, because I hear crackling sounds in the background.
57 00:06:38.700 ⇒ 00:06:39.590 Uttam Kumaran: Is it me?
58 00:06:40.030 ⇒ 00:06:41.060 Uttam Kumaran: I think so.
59 00:06:41.060 ⇒ 00:06:44.568 Amber Lin: I don’t miss you anymore.
60 00:06:45.270 ⇒ 00:06:45.820 Steven: I don’t know.
61 00:06:46.760 ⇒ 00:06:50.859 Amber Lin: How’s the new building going? I know you had a new building in San Antonio.
62 00:06:50.860 ⇒ 00:06:59.587 Steven: It’s good. Yeah. I mean, we. We purchased it. We’re trying to get Internet and everything set up over there. So a couple of weeks and we’ll start start the moving process.
63 00:06:59.860 ⇒ 00:07:01.550 Amber Lin: Oh! Exciting! Exciting!
64 00:07:01.550 ⇒ 00:07:02.170 Uttam Kumaran: Nice.
65 00:07:02.190 ⇒ 00:07:02.860 Amber Lin: Yeah.
66 00:07:03.770 ⇒ 00:07:10.949 Amber Lin: And I know Tim is just really busy with that. So we’ve tried to catch him, but like very understandable that he’s caught up with.
67 00:07:11.350 ⇒ 00:07:14.800 Steven: Yeah, he’s got a lot of lot of work to do over there, for sure.
68 00:07:14.800 ⇒ 00:07:15.340 Amber Lin: Yeah.
69 00:07:16.450 ⇒ 00:07:34.220 Amber Lin: Steven, would you be knowledgeable about the next phase expansion? Yvette told me that he she talked to you about. Okay, what is the next division that we’re thinking of. I’m expanding to. Would you be the person to talk about that, too? Or should I just go directly to Yvette.
70 00:07:36.320 ⇒ 00:07:40.409 Steven: Yeah, we talked about it. I don’t remember. We came to any conclusion.
71 00:07:41.405 ⇒ 00:07:50.550 Steven: Event will probably be the best bet on. Yeah, what ultimately, where does she wanna roll it out to Janice? Have you talked to any more about that either.
72 00:07:50.930 ⇒ 00:07:56.070 JanieceGarcia: I have not. I know I know, for
73 00:07:56.170 ⇒ 00:08:07.939 JanieceGarcia: the next phases. I wanna say I know who it was, but I don’t want to say that out loud, because I’m on the floor. So you might, whenever you send your recap, just ask her.
74 00:08:08.260 ⇒ 00:08:08.980 Amber Lin: Okay.
75 00:08:09.170 ⇒ 00:08:24.720 JanieceGarcia: I was. Gonna send a recap to her as well, and just let her know and I can put it in there. We’re catching up on a few things. The trainer bought next steps, but then question came up as who you want? Who would you want to roll out the
76 00:08:25.960 ⇒ 00:08:28.919 JanieceGarcia: assistant Bot or Andy, I guess Andy.
77 00:08:28.920 ⇒ 00:08:35.850 Amber Lin: Yeah, yeah, totally. Because we talked about the overflow agents they’re already in use, for they’re in
78 00:08:36.212 ⇒ 00:09:04.099 Amber Lin: so that’s awesome. I remember if I mentioning deciding between mechanic and other department. So once, yeah. And I talked to all the managers for those different Csr departments. So once we confirm, I think we can quickly get to know them, get to know their different systems and get a roadmap on how to roll out. And we already have experience doing past. So I imagine it will be a lot smoother this time.
79 00:09:04.100 ⇒ 00:09:07.190 Steven: I kind of think she was leaning mechanical is.
80 00:09:07.190 ⇒ 00:09:09.859 JanieceGarcia: Absolutely I was. Gonna say, and that’s where I’m sitting. So I didn’t.
81 00:09:10.135 ⇒ 00:09:20.890 Steven: Yeah, I’m pretty sure we just with the Leadership group there. I think they’re better fit to kind of take on this project and push their people and get yeah. So I’m pretty sure that’s the direction we’re going.
82 00:09:22.120 ⇒ 00:09:24.124 Amber Lin: Not very exciting.
83 00:09:25.940 ⇒ 00:09:30.930 Amber Lin: utam. Was there any items that you wanted to bring up for this meeting to have it discussed.
84 00:09:30.930 ⇒ 00:09:52.099 Uttam Kumaran: Yeah, I think a couple of things. So we just sort of went and planning out the next 2 weeks of work. I think there’s a couple of things that we’re going to continue to improve on our end. One we are. We did a look at all the sort of scores that we’re getting both from our evaluations and from
85 00:09:52.140 ⇒ 00:10:07.879 Uttam Kumaran: the thumbs up thumbs down. So we’re gonna make a little bit of. We’re gonna improve the the process, even like one step further, when we get a feedback score that’s thumbs down or like it’s a low score. We’re actually gonna have the AI make a suggestion on like what could be missing
86 00:10:08.070 ⇒ 00:10:34.460 Uttam Kumaran: from the central doc. And that’s gonna be put into the home platform spreadsheet. Where I know we’re kind of going through what the feedback is and making changes so ideally. This should make it even just a little bit easier for us to say there? This was the question. This was the response. Here was the here was the score. And then here’s like the suggested change. So that’s 1 thing. The second thing is, we’re prioritizing, cleaning up
87 00:10:34.820 ⇒ 00:10:54.550 Uttam Kumaran: the central Doc. It’s now like about 80 pages, which, on one hand, I’m happy. It’s all in one place. On the other hand, there is a lot of stuff there that I’m sure is in a couple of different sections. So we have a task. We’re gonna be going through and sort of one given that. This is, I would say, probably most of the info. We now
88 00:10:54.550 ⇒ 00:11:07.310 Uttam Kumaran: can start to decide okay, what is each section like? Is each section tied to a part of the business strategy, a service line. And so we will. We’ll basically propose like a new structure for the stock.
89 00:11:07.440 ⇒ 00:11:35.514 Uttam Kumaran: which will have all the information in it, but it’ll just be clear on, like how to navigate it and ideally cut it, cut it down a little bit. We should still retain all the information in one way or another, so we’ll we’ll have a copy of it to measure against. But ideally, it should be a lot easier to say, here’s the stock. Each section is this part of the business. Each section includes Faqs or overall summaries. So we’ll just have, like, basically a format
90 00:11:35.940 ⇒ 00:11:47.259 Uttam Kumaran: for this document. So that’s another item that we’ll be taking on a couple of quick fixes. We’re gonna add a feedback box for thumbs up.
91 00:11:47.390 ⇒ 00:12:16.669 Uttam Kumaran: Status people do thumbs up. They can also give a little feedback. We’re going to we’re gonna add the abbreviations and acronyms work that we did. So we actually went through that document, and we we scraped out a bunch of acronyms that we’re going to add. So the AI is aware. I will also leave that in the Central Doc. I think somewhere that way. If we have other acronyms, we want to add, we can add them there, but I think we’ll we’ll take a good start at that
92 00:12:18.750 ⇒ 00:12:42.260 Uttam Kumaran: and then we’re gonna just have the oh, and then a couple of things on the oh, by the ways, and maybe, Steven, you you could be a good help for this. So we’re seeing like it working. So I think people are pushing the oh, by the ways, and we’re seeing that tangibly. I think one question I had is, we have sort of 2 concepts that I that I don’t think we sort of fully grasp. We have both like offers. And we have like.
93 00:12:42.490 ⇒ 00:12:45.090 Uttam Kumaran: Hey, we have just like cross selling services
94 00:12:45.220 ⇒ 00:12:55.170 Uttam Kumaran: right? So some of the offers are more timely, like offers or promotions. So that’s something that’s probably more manual for us to get from your side on like, what is the what are the promos we’re running?
95 00:12:55.849 ⇒ 00:13:06.630 Uttam Kumaran: Do you have an we also have like, just like selling other services. Do you have a sense or any guidelines on how you guys are cross selling services like
96 00:13:07.070 ⇒ 00:13:11.420 Uttam Kumaran: that way when we’re what we’re working on is basically how the AI is gonna prompt
97 00:13:11.560 ⇒ 00:13:18.969 Uttam Kumaran: how the AI is going to share with the Csr. What? Oh, by the way, to to share like what? When it’s appropriate, based on
98 00:13:19.080 ⇒ 00:13:22.560 Uttam Kumaran: that conversation. So maybe we could just have a short discussion on that.
99 00:13:24.180 ⇒ 00:13:28.090 Steven: Like, what do you mean like? Which ones we’re kind of pushing at certain times.
100 00:13:28.800 ⇒ 00:13:38.819 Uttam Kumaran: Yeah, exactly like which ones are sure. But, for example, like what it’s even more basic is like, if someone asked for one service, like, what are the common services you look to bundle with that.
101 00:13:39.300 ⇒ 00:14:01.190 JanieceGarcia: So is that kind of like what we had talked about in the beginning, and I thought I had a sheet. I’m looking for the sheet now, but where? It was. Okay. If somebody was calling in for rodents, then we would offer tree, because rodents can get access to the roof by crawling on trees or it’s the holiday season, so let’s go ahead and start offering window washing or power washing or holiday.
102 00:14:01.190 ⇒ 00:14:02.270 Uttam Kumaran: That’s correct.
103 00:14:02.270 ⇒ 00:14:03.050 JanieceGarcia: So those.
104 00:14:03.234 ⇒ 00:14:03.419 Amber Lin: Believe.
105 00:14:03.420 ⇒ 00:14:05.730 JanieceGarcia: I thought I had a sheet for that.
106 00:14:05.730 ⇒ 00:14:13.119 Amber Lin: It’s I think we only got. The sheet of this is the current offers we have.
107 00:14:13.290 ⇒ 00:14:13.890 JanieceGarcia: Okay.
108 00:14:13.890 ⇒ 00:14:14.920 Amber Lin: Next month.
109 00:14:15.850 ⇒ 00:14:16.620 JanieceGarcia: Okay.
110 00:14:16.620 ⇒ 00:14:17.320 Amber Lin: Yeah.
111 00:14:17.870 ⇒ 00:14:28.839 Steven: Yeah, those normally kind of we try to tailor those towards the time of the year and best offers. But there are certain certain times of the year for certain things, and there’s also the rodent and tree is a good example.
112 00:14:29.135 ⇒ 00:14:29.430 Steven: No.
113 00:14:29.430 ⇒ 00:14:32.790 Uttam Kumaran: Yeah, like the road in a tree. One is a good thing that like
114 00:14:33.280 ⇒ 00:14:38.479 Uttam Kumaran: I mean, I of course I could like use some common sense and think about that. But if you guys have any like.
115 00:14:38.630 ⇒ 00:14:48.769 Uttam Kumaran: if you guys have some of those, or maybe it’s like, like, if if we could even talk through that. We can note those down that way. We’re not just like pushing random combinations.
116 00:14:49.260 ⇒ 00:15:01.479 Steven: The lawn, mowing and lawn. Care is an easy one mowing is actually maintenance of the yard cares the fertilization of it. The other one would be if they have lawn, care to push compost and aeration.
117 00:15:01.480 ⇒ 00:15:02.000 JanieceGarcia: Integration.
118 00:15:02.000 ⇒ 00:15:03.936 Steven: That’s a separate service.
119 00:15:05.330 ⇒ 00:15:10.849 Steven: That could be a good one. I know. What else, Janice. What about with pest mosquito, with pest.
120 00:15:11.415 ⇒ 00:15:14.240 JanieceGarcia: Mosquito anytime through the spring.
121 00:15:14.550 ⇒ 00:15:15.660 Uttam Kumaran: And summer.
122 00:15:16.460 ⇒ 00:15:19.499 JanieceGarcia: And that’s an easy one to do, because we’re in Texas.
123 00:15:21.500 ⇒ 00:15:23.940 JanieceGarcia: Other ones would be like
124 00:15:24.210 ⇒ 00:15:46.319 JanieceGarcia: the rodent, I mean rodent entry. That’s something we’ve always we train even for the oh, by the way, is that way? And then I would even do like, even if there’s rodent. Okay? Well, now, we’re looking at power washing. Do we need to power wash their sidewalks or the side of their house because they have tracks coming up? You know.
125 00:15:46.570 ⇒ 00:15:47.250 Amber Lin: So.
126 00:15:47.250 ⇒ 00:15:52.419 Steven: Power. Wash and window washing tree trimming could also be gutter cleaning.
127 00:15:52.770 ⇒ 00:15:53.570 Amber Lin: Yes.
128 00:15:53.570 ⇒ 00:16:16.840 Steven: Add gutter cleaning. Gutter cleaning can also lead to pest control, because they’ve got mosquitoes and ants on their gutters. But yeah, gutter cleaning window and power washing the most common, though, by the ways, because they’re kind of the easiest. Add on that we don’t advertise a lot that everyone can use. So that would be kind of I would think that’d be the 1st kind of go to basic if there’s nothing else that really pops out. That should be kind of.
129 00:16:17.070 ⇒ 00:16:17.720 Steven: okay.
130 00:16:17.720 ⇒ 00:16:27.150 Amber Lin: I see awesome. So is there a oh, by the way, training that you guys use for the new Csrs that maybe you can just share with us.
131 00:16:27.150 ⇒ 00:16:31.869 JanieceGarcia: It’s gonna be the power offers that we have for that month. So like the sheets and stuff that we’ve sent.
132 00:16:32.305 ⇒ 00:16:54.489 Amber Lin: I see we’re thinking of incorporating, as Uta mentioned, incorporating that in one of the sections in the Central Doc or in the central spreadsheet hub of the monthly power offers. So Annie has direct access to that. And remember what we talked about when I was in person of
133 00:16:54.790 ⇒ 00:16:59.600 Amber Lin: having that show up when we press the the bullseye button. So.
134 00:16:59.820 ⇒ 00:17:14.179 Amber Lin: having maybe the entire list of that month’s power offers show up when someone presses that so they can know what’s currently going on. And that’s something that you guys can update monthly as well.
135 00:17:14.650 ⇒ 00:17:18.740 JanieceGarcia: Right, exactly, and cause that’s only updated about every once every 3 months. 2 to.
136 00:17:18.740 ⇒ 00:17:19.250 Amber Lin: Everyone.
137 00:17:19.808 ⇒ 00:17:26.760 JanieceGarcia: Cause even right now I’m pushing it, and I know we talked about this when you were here, but even pushing it, there’s no content.
138 00:17:27.200 ⇒ 00:17:33.449 Amber Lin: Moment. Yeah, yeah, I believe the 1st one we put in expired. So now we need to put in.
139 00:17:33.450 ⇒ 00:17:34.110 Amber Lin: Now, we need to.
140 00:17:34.110 ⇒ 00:17:34.670 Amber Lin: Yeah.
141 00:17:34.670 ⇒ 00:18:03.019 JanieceGarcia: Okay? And can I ask to Amber? And as Shannon and I have been going through and looking at the training docs and making sure that everything is in the Central Doc, which we’re almost done with that but there’s things, and I don’t know if you’d seen like I would add you, or just randomly and it’s because we know it’s in the Central Doc. We found it in the Central Doc. But it’s not coming up under Andy.
142 00:18:04.110 ⇒ 00:18:04.750 Amber Lin: No.
143 00:18:04.750 ⇒ 00:18:30.929 JanieceGarcia: So like this one for a good example on the feedback sheet it has that one of our Csrs had asked, how much is it for a non customer with his own trap or own cage? And it says, I’m sorry I cannot find the pricing for non customers providing their own traps. Is it the wording? Because they didn’t say own cage cause it’s in there. It’s in the central dock.
144 00:18:32.590 ⇒ 00:18:49.900 Amber Lin: I think that comes up as the same question when we talked about abbreviations, and what I discovered when I went in person is not only abbreviations, but people have slang. So we have Csr slang, or we have ABC slang that is not in the formal documentation. Or
145 00:18:49.900 ⇒ 00:19:05.869 Amber Lin: and thus it’s not in Andy. So when we say trap versus cage, it will be interpreted very differently, because trap may be for small rodents, and maybe cage is a big animal in that when we use that interchangeably.
146 00:19:06.050 ⇒ 00:19:20.020 Amber Lin: and we haven’t specified it to Andy. Then Andy would just, we told Andy to refer to know before giving you a the wrong B answer. So.
147 00:19:20.020 ⇒ 00:19:24.199 Steven: Like. If Andy knows like, hey could be there? Could he not ask for clarification.
148 00:19:28.440 ⇒ 00:19:30.671 Uttam Kumaran: Yeah, we could do that, I think.
149 00:19:32.020 ⇒ 00:19:36.920 Uttam Kumaran: Janice, for that one. Did you happen to give feedback? Because I’m just sort of looking at a list of all the ones.
150 00:19:36.920 ⇒ 00:19:42.739 JanieceGarcia: Kiba. It’s from our kiba kiba did. Hold on, I’ll
151 00:19:43.000 ⇒ 00:19:49.622 JanieceGarcia: are you? You’re in the sheet. Click on my initial utam, and it should take you down 1 26 to where I’m at
152 00:19:50.960 ⇒ 00:20:05.290 JanieceGarcia: So right above that, it says how much for a non customer with his own trap? And then raccoon removal with their own cage. So those 2 questions are the same. She was trying to get the answer. But
153 00:20:05.290 ⇒ 00:20:06.330 JanieceGarcia: I see coming up
154 00:20:06.895 ⇒ 00:20:15.464 JanieceGarcia: and so, and if you look in the Central Doc here, I’ll actually share my screen. So that way you don’t have to search through all those pages.
155 00:20:18.680 ⇒ 00:20:26.859 JanieceGarcia: But if you look in the central dock for the dead animal removal and odor control personal cages, we do have it. But again, like
156 00:20:27.040 ⇒ 00:20:32.800 JanieceGarcia: Amber had said, it’s under cage and not trap. But
157 00:20:33.080 ⇒ 00:20:36.150 JanieceGarcia: the 1st question she should have gotten this answer. I would have thought.
158 00:20:36.430 ⇒ 00:20:54.149 Uttam Kumaran: No, but this is. But this is actually perfect. So like to give you a sense of like what we’ll do on our end. One. We just we simply go investigate, sort of one by one, so we will. We will do a couple of things one like I’ll create a ticket on our side. That is like investigating
159 00:20:55.220 ⇒ 00:21:01.239 Uttam Kumaran: investigating this. So one, I have the rows in the Google sheet. Second thing I’m gonna do is basically link
160 00:21:01.800 ⇒ 00:21:06.549 Uttam Kumaran: to this one. I can get the link.
161 00:21:17.400 ⇒ 00:21:33.740 Uttam Kumaran: And then I think there’s 2 things so amber. The way this is gonna work for evaluations is once we fix this, it gets added to the evaluation data set, which means, like the scores get better, the scores get more accurate over time. So we’ll go identify what’s happening with this. We’ll
162 00:21:34.150 ⇒ 00:21:41.940 Uttam Kumaran: we will fix it, and then we will prove that it’s fixed like by running it back through it. So that’s sort of our process on our side.
163 00:21:42.950 ⇒ 00:21:43.335 JanieceGarcia: Okay.
164 00:21:44.210 ⇒ 00:21:50.729 Uttam Kumaran: So some. So for the ones where it doesn’t exist. That’s I would say. That’s on the ABC team.
165 00:21:50.730 ⇒ 00:21:51.719 JanieceGarcia: It is. Yeah.
166 00:21:51.720 ⇒ 00:21:57.799 Uttam Kumaran: So this one isn’t totally on our team. We gotta just make sure that it’s getting it’s working.
167 00:21:59.080 ⇒ 00:22:02.349 Uttam Kumaran: So this is part of the reason, you know, I want to add the
168 00:22:02.600 ⇒ 00:22:15.770 Uttam Kumaran: the Llm. The language model that suggests things. If we, the other AI, will say, Hey, this exists in the Doc. This should have been answered. We need to investigate what’s going on right? So it should help us triage these a little bit easier.
169 00:22:16.450 ⇒ 00:22:37.749 JanieceGarcia: Okay, and cause that’s where you know. And we were just adding amber, you know, tagging her in the sheets or in the spreadsheet, because we noticed, like going through some of these, we’re like, no, this is in there. No, this is in there. And it’s all the wording. And so I’m like, okay, maybe. So we want to spend the time. We want to make sure that you guys do have all of the information for sure.
170 00:22:37.750 ⇒ 00:22:42.319 Uttam Kumaran: This is perfect. Yeah. And and that’s when it’ll that’s when totally kick it over to us. But we’ll we’ll.
171 00:22:42.320 ⇒ 00:22:42.970 JanieceGarcia: Okay.
172 00:22:43.220 ⇒ 00:22:53.070 JanieceGarcia: Okay, then I’ll just keep doing what I’m doing. If that’s okay with you, Amber. So as we’re looking at that and going through because we’re test. What we’re doing is we’re testing it as we’re adding stuff
173 00:22:53.360 ⇒ 00:22:55.280 JanieceGarcia: and making sure things are coming through.
174 00:22:55.510 ⇒ 00:22:56.710 Amber Lin: That’s amazing.
175 00:22:57.570 ⇒ 00:23:00.300 JanieceGarcia: So you’ll see. You’ll see Shannon and I in there a lot more.
176 00:23:00.690 ⇒ 00:23:05.380 Amber Lin: Okay, sounds good. I keep track of when you add me, and I
177 00:23:05.380 ⇒ 00:23:09.499 Amber Lin: kind of go through what what it’s about. But I know, you guys are still going through all of them.
178 00:23:09.500 ⇒ 00:23:10.539 JanieceGarcia: Yeah, we are.
179 00:23:10.680 ⇒ 00:23:11.200 Amber Lin: Yeah.
180 00:23:12.220 ⇒ 00:23:13.010 Amber Lin: Sounds good.
181 00:23:15.710 ⇒ 00:23:16.290 Amber Lin: Anything?
182 00:23:16.290 ⇒ 00:23:19.996 Uttam Kumaran: I think that’s probably all I had from
183 00:23:21.440 ⇒ 00:23:28.159 Uttam Kumaran: from my end. I mean, we’re just continuing to to try to get the evaluation scores to be higher and just taking a look at all the
184 00:23:28.580 ⇒ 00:23:42.629 Uttam Kumaran: feedback. I think the other things we’re, you know, we’re constantly looking at the adoption rates. And how do we improve that part of my push? Is that, hey? If it works really well, then people are gonna continue to use it. So that’s 1 thing that I want to cross off as like
185 00:23:42.830 ⇒ 00:23:47.740 Uttam Kumaran: people are not using it because it doesn’t work well, right? So
186 00:23:48.470 ⇒ 00:23:54.569 Uttam Kumaran: But then, beyond that, I think. I think we’re doing a better job at just like, hey? How can we promote it internally
187 00:23:54.790 ⇒ 00:23:56.930 Uttam Kumaran: and things like that? So
188 00:23:57.611 ⇒ 00:24:03.850 Uttam Kumaran: I think it’s getting a lot better, I think. Getting removing the old documents is gonna help a lot for this as well.
189 00:24:05.070 ⇒ 00:24:05.650 JanieceGarcia: And
190 00:24:05.650 ⇒ 00:24:21.729 JanieceGarcia: that is something that Shannon and I are doing, too. So she has seen the Do not use folders. So those are in there for the Csrs. Once, Shannon, I complete our end. Then she does. She’s gonna turn those off completely.
191 00:24:21.730 ⇒ 00:24:22.190 Uttam Kumaran: Okay.
192 00:24:22.460 ⇒ 00:24:33.089 Amber Lin: Awesome, exciting, and we will. We’ll work really fast on our side to clean up the existing central doc, so that when the Csrs actually start using Central Doc. It’s very usable for them.
193 00:24:36.570 ⇒ 00:24:37.020 Steven: Cool.
194 00:24:37.020 ⇒ 00:24:37.580 JanieceGarcia: Perfect.
195 00:24:37.960 ⇒ 00:24:38.750 Amber Lin: Awesome.
196 00:24:39.130 ⇒ 00:24:40.580 Amber Lin: Thank you for the meeting.
197 00:24:40.670 ⇒ 00:24:41.440 Steven: Appreciate, y’all.
198 00:24:41.440 ⇒ 00:24:42.250 JanieceGarcia: Thank you.
199 00:24:42.250 ⇒ 00:24:42.830 Uttam Kumaran: Thank you.
200 00:24:42.830 ⇒ 00:24:44.290 JanieceGarcia: Appreciate you. Bye, bye.