Meeting Title: Brainforge x ABC Home and Commercial: Weekly Project Check Date: 2025-08-07 Meeting participants: JanieceGarcia, read.ai meeting notes, YvetteRuiz, Sam Roberts, Uttam Kumaran, Amber Lin
WEBVTT
1 00:01:46.760 ⇒ 00:01:47.880 JanieceGarcia: Hey? You bet!
2 00:01:48.070 ⇒ 00:01:49.090 YvetteRuiz: Hi!
3 00:01:49.750 ⇒ 00:01:53.270 YvetteRuiz: Thank you for my food. Let me know what I owe you.
4 00:01:53.460 ⇒ 00:01:58.449 JanieceGarcia: Nothing. Actually, when I went Steve was there and
5 00:01:58.620 ⇒ 00:02:04.030 JanieceGarcia: saws come in, and he came up and bought lunch for for us.
6 00:02:04.240 ⇒ 00:02:04.960 JanieceGarcia: So.
7 00:02:05.140 ⇒ 00:02:06.350 YvetteRuiz: Oh, cool!
8 00:02:06.570 ⇒ 00:02:08.620 JanieceGarcia: So just tell Steve. Thank you.
9 00:02:09.699 ⇒ 00:02:10.699 YvetteRuiz: Got it?
10 00:02:14.530 ⇒ 00:02:15.550 YvetteRuiz: Oh, God!
11 00:02:15.550 ⇒ 00:02:18.300 Amber Lin: Well, nice to see you.
12 00:02:18.300 ⇒ 00:02:19.830 YvetteRuiz: Hello!
13 00:02:20.040 ⇒ 00:02:21.130 JanieceGarcia: Hi! Y’all.
14 00:02:22.570 ⇒ 00:02:32.899 YvetteRuiz: Let me see, it’s my camera. There it is. Hi! Hello! There it is!
15 00:02:32.900 ⇒ 00:02:34.509 Amber Lin: Oh, are you in your new office.
16 00:02:34.970 ⇒ 00:02:37.295 YvetteRuiz: No, I’m in Austin today.
17 00:02:37.760 ⇒ 00:02:38.669 Amber Lin: I see.
18 00:02:38.670 ⇒ 00:02:39.305 YvetteRuiz: Yeah.
19 00:02:40.080 ⇒ 00:02:43.945 YvetteRuiz: It’s been in back to back meetings today.
20 00:02:44.490 ⇒ 00:02:46.170 Amber Lin: I feel you
21 00:02:48.346 ⇒ 00:03:02.149 Amber Lin: so I’ll start off with a quick overview what happened this week, and then what we plan to do next week, and then I’ll leave the floor for discussion for the AI stuff on 8 by 8.
22 00:03:03.330 ⇒ 00:03:03.890 YvetteRuiz: Yep.
23 00:03:07.110 ⇒ 00:03:24.259 Amber Lin: So I have really good news. Today. I checked the dashboard on usage. It’s at an all time high, which I think we all know why it’s so high is because there was a lot of people using the inspector sheet trying to.
24 00:03:24.763 ⇒ 00:03:34.799 Amber Lin: I think the lead line team was trying to use that, and also the mechanical department was also using it and testing it. So overall, we had a lot of usage.
25 00:03:35.260 ⇒ 00:03:44.640 Amber Lin: We were at more than 400, which is half of our think, half of our goal
26 00:03:45.680 ⇒ 00:03:51.589 Amber Lin: to get to 2 K. Of usage. So very exciting news.
27 00:03:51.930 ⇒ 00:04:01.679 Amber Lin: I want us to take a look at these names on the top of the leaderboard to just see who these people are and what teams they belong to, and what
28 00:04:01.960 ⇒ 00:04:09.280 Amber Lin: the reason or what was working to increase the usage for the past 14 days.
29 00:04:09.640 ⇒ 00:04:12.160 Amber Lin: We got Lauren, who’s lead line?
30 00:04:12.807 ⇒ 00:04:19.420 YvetteRuiz: They’re gonna be big time, like I mentioned to you Wednesday. They’re gonna be drivers of the the inspector Zip code, because that’s
31 00:04:19.709 ⇒ 00:04:37.270 YvetteRuiz: that’s what they do all day long is schedule leads. So you got Lauren? You got Brian. You got Nicole. You got Natalie brandy, I mean. Those are all lead line people. Then you got Deborah who’s in pest you know. I’m assuming she’s just kind of
32 00:04:37.320 ⇒ 00:04:50.234 YvetteRuiz: getting it. The habit built to start utilizing Andy. Janice, you can speak for yourself, Janice. What are you doing? Rosalinda’s a new hire and pest.
33 00:04:50.850 ⇒ 00:04:56.380 JanieceGarcia: No, I was sorry. But I was just gonna say, I’m testing out as I’m making changes. So that’s
34 00:04:56.750 ⇒ 00:04:58.769 JanieceGarcia: that’s my changes in my test for.
35 00:04:59.510 ⇒ 00:05:00.150 YvetteRuiz: For those.
36 00:05:00.150 ⇒ 00:05:02.279 JanieceGarcia: And then, of course, the working sessions, too.
37 00:05:02.748 ⇒ 00:05:16.791 YvetteRuiz: And you got Rosalinda, I mean, I’m sorry, Nicole. Who’s another lead line person, Jenny? Mechanical Natalie Velasco, lead line brandy lead line. So it’s it’s our lead line people.
38 00:05:17.820 ⇒ 00:05:24.480 Amber Lin: Lean line and mechanical. I know Adriana is also mechanical, so we’re seeing the usage coming from there.
39 00:05:25.510 ⇒ 00:05:29.999 Amber Lin: That also tells of what feature we really need to focus on and what
40 00:05:30.540 ⇒ 00:05:34.730 Amber Lin: what type of convenience we should focus on bringing to this year.
41 00:05:36.010 ⇒ 00:05:42.166 YvetteRuiz: Yeah, that’s kind of why I sent you guys the email because it that needs to be fixed.
42 00:05:42.600 ⇒ 00:05:48.719 Amber Lin: Totally. I was just meeting with the team earlier. I think they’re still testing out.
43 00:05:48.850 ⇒ 00:06:12.990 Amber Lin: especially for the feedback that people sent. They’re testing out those questions one by one, to see if we can answer them correctly. And then probably I would sync with Janice again on if there was any changes to that sheet of the content of that sheet to make sure that both on the technical side and on the content side, that we’re all correct.
44 00:06:16.020 ⇒ 00:06:16.690 YvetteRuiz: Okay.
45 00:06:16.870 ⇒ 00:06:21.059 Amber Lin: Yeah, so quick recap of this week. So
46 00:06:21.100 ⇒ 00:06:30.769 Amber Lin: a lot of work was on the inspector sheet. We also kicked off lawn and home improvement. We got all the documents, got all the emails.
47 00:06:31.122 ⇒ 00:06:53.339 Amber Lin: set up initial framework, and I’ll I’ll touch on the next steps in a bit. We also had a Csr working session with not these 3. Sorry, I forgot to update the names here, and Janice and Shannon worked on the Csr feedbacks and Updated test Central Doc. And lastly, we are working internally to integrate with the 8 by 8 transcript Api.
48 00:06:55.459 ⇒ 00:07:13.289 Amber Lin: So this week’s working session with was with Markeba, Denise and Amy. I think what went well was that we were able to showcase usage of Andy and got their individual feedback. I do think that
49 00:07:13.600 ⇒ 00:07:22.099 Amber Lin: we should find a time that works best for them, because Denise was not available for more than 15 min. And we should also.
50 00:07:22.100 ⇒ 00:07:23.640 YvetteRuiz: Would that be Janice.
51 00:07:23.640 ⇒ 00:07:27.550 JanieceGarcia: It was it’s overflow training that’s that
52 00:07:27.740 ⇒ 00:07:35.620 JanieceGarcia: started in. So we just need to probably up ours or wait until they’re done, because.
53 00:07:35.620 ⇒ 00:07:36.159 YvetteRuiz: What do you mean?
54 00:07:36.160 ⇒ 00:07:39.599 JanieceGarcia: Training. She was in overflow training from 2 to 4,
55 00:07:39.760 ⇒ 00:07:44.069 JanieceGarcia: and so she only got to stay with us from 1, 45 until 2.
56 00:07:44.350 ⇒ 00:07:51.939 YvetteRuiz: But I think that’s a communication breakdown. If she was that, then shouldn’t. When we said that she was going to be part of the working session, said, Hey.
57 00:07:52.300 ⇒ 00:07:53.720 YvetteRuiz: she can’t be part of that.
58 00:07:53.720 ⇒ 00:07:54.769 JanieceGarcia: Be a part of that.
59 00:07:57.360 ⇒ 00:07:59.051 YvetteRuiz: That’s just my thought. But.
60 00:07:59.980 ⇒ 00:08:00.620 Amber Lin: For sure
61 00:08:00.620 ⇒ 00:08:22.759 Amber Lin: also on that I was thinking, especially now, that there’s more work starting with mechanical home improvement and lawn. Janice, you I might need you to lead these sessions, because I think you already got a hang of. You know you know what to do, and they really work really well with you. I think the past few sessions went great, and maybe
62 00:08:23.020 ⇒ 00:08:41.189 Amber Lin: next week if it’s you and Shannon leading those sessions, you can find a more convenient time because we’re at a different time zone, and I also have a lot of other meetings. So if it’s not limited by my time. I think it will be a lot easier to find a time that works for everyone.
63 00:08:45.330 ⇒ 00:08:46.300 JanieceGarcia: Okay.
64 00:08:47.240 ⇒ 00:08:47.970 Amber Lin: Yeah.
65 00:08:48.600 ⇒ 00:08:51.249 Amber Lin: And so on the mechanical side.
66 00:08:51.690 ⇒ 00:09:17.990 Amber Lin: we’re currently testing. We’re seeing more people on the mechanical side testing it right now. What I do want is to next week schedule a meeting with Tara and Cass to show them how to use the feedback sheet and how to use the feedback that the Csrs put in to update their central doc, because that’s the process they need to go through before they’re con. We’re confident that
67 00:09:18.090 ⇒ 00:09:30.390 Amber Lin: we roll out something that the users can use, that we can answer the Csr questions. So that’s something on my mind. I want to do next week. In terms a lot of home improvement.
68 00:09:30.510 ⇒ 00:09:42.929 Amber Lin: We got all the documents. Now, I just need to sync with them on what is needed, because there’s sometimes a lot of duplicates, and then to set up the central dock and follow the same path as mechanical.
69 00:09:43.100 ⇒ 00:09:43.850 YvetteRuiz: Okay.
70 00:09:44.030 ⇒ 00:09:52.960 Amber Lin: Yeah, I have group chats with them. So I sync with, I message them on stuff I need. And they know the progress on our end as well.
71 00:09:56.760 ⇒ 00:10:18.019 Amber Lin: I think quickly. Before the discussions next week, as I said, working sessions with mechanical lawn and home improvement. I’ll probably message them to see when they’re free, and then for the pet side, Denise, I’ll rely on you to do your session with Shannon on the feedback sheet and on also with the pet Csrs.
72 00:10:22.450 ⇒ 00:10:24.069 Amber Lin: If that’s okay with you.
73 00:10:28.460 ⇒ 00:10:29.470 JanieceGarcia: Yes, ma’am.
74 00:10:29.880 ⇒ 00:10:41.610 Amber Lin: Okay, awesome and then we’ll double down, Inspector, she later. Today and tomorrow I’m meeting with the team as well, and we’ll make sure that that that one’s up and running
75 00:10:43.300 ⇒ 00:11:06.320 YvetteRuiz: Okay, sounds good. Before we started the 8 by piece of it. I did have some conversation with Janice yesterday. You know one, you know. Thank you for jumping on the the inspector sheet. Did we go ahead and remove that from from Andy? Because I already I don’t want them using it until it’s fully functional. Because it’s.
76 00:11:06.640 ⇒ 00:11:09.540 Uttam Kumaran: They’re just gonna keep on saying it doesn’t work, you know.
77 00:11:09.540 ⇒ 00:11:20.670 Uttam Kumaran: So we we actually resolved, like most of the issues that came in shortly after I sent that, I just have not had a chance to write it all. But let me actually just pull something up
78 00:11:20.810 ⇒ 00:11:25.109 Uttam Kumaran: on our side. And I can basically share some examples.
79 00:11:29.670 ⇒ 00:11:34.809 Uttam Kumaran: so you guys can see this, or I’ll just share just this.
80 00:11:38.390 ⇒ 00:11:43.439 Uttam Kumaran: So what we did yesterday is we went through just each of the
81 00:11:44.080 ⇒ 00:11:48.949 Uttam Kumaran: basically, the questions that were coming in like inspector and 7, 8, 6, 8, 1
82 00:11:49.448 ⇒ 00:12:05.679 Uttam Kumaran: and just went through and confirmed. So now we’re we’re actually these were all the questions that had come in that were previously just having issues, and then through and confirm that they’re all working, I would say. There’s a couple of things that are still outstanding.
83 00:12:07.220 ⇒ 00:12:08.520 Uttam Kumaran: One is.
84 00:12:09.440 ⇒ 00:12:21.049 Uttam Kumaran: There are sometimes where the sheets. The inspectors are dependent on the like Geo and some service lines where they’re not like
85 00:12:21.480 ⇒ 00:12:32.830 Uttam Kumaran: for a residential tree. There’s just a residential tree technicians. But for some of the other technician lines. It’s dependent on the location. So that’s something that
86 00:12:33.090 ⇒ 00:12:46.049 Uttam Kumaran: I think it is something that we’re just making sure, because we have. I think those 2 existing versions? Second, we notice also that for some for some zip codes
87 00:12:46.190 ⇒ 00:12:47.580 Uttam Kumaran: there can be
88 00:12:48.010 ⇒ 00:12:55.369 Uttam Kumaran: kind of 2 form factors of the technician. Sometimes they’re listed as like this person and this person for one zip code. Sometimes it’s it’s like
89 00:12:55.740 ⇒ 00:13:03.154 Uttam Kumaran: 3 people are listed at the Zip code, but like, separated by commas or or sort of separate. So that was also something that we fixed
90 00:13:03.720 ⇒ 00:13:04.350 YvetteRuiz: Okay.
91 00:13:04.540 ⇒ 00:13:11.940 Uttam Kumaran: And so for today and tomorrow we are monitoring the incoming questions and making sure that we’re resolving those.
92 00:13:12.608 ⇒ 00:13:17.619 Uttam Kumaran: We could. Still, I could still go ahead and turn it off, or basically
93 00:13:17.940 ⇒ 00:13:22.959 Uttam Kumaran: mentioned that. Hey? Any inspector sheet? Please go confirm in the sheet, but we fix
94 00:13:23.190 ⇒ 00:13:27.060 Uttam Kumaran: a fair amount of them yesterday night.
95 00:13:27.840 ⇒ 00:13:33.680 YvetteRuiz: Okay, I think until it’s fully functional, we just pull it.
96 00:13:33.970 ⇒ 00:13:34.570 Uttam Kumaran: Okay.
97 00:13:34.920 ⇒ 00:13:39.299 YvetteRuiz: Yeah, I think I’ll just make that decision. And so
98 00:13:39.420 ⇒ 00:13:43.210 YvetteRuiz: so I also she I met again I met with
99 00:13:43.550 ⇒ 00:13:49.319 YvetteRuiz: I wanted just to, you know. Take this time right now also to just to kind of talk through
100 00:13:49.710 ⇒ 00:14:05.229 YvetteRuiz: making sure we’re on track on our end with giving it the the dedication that it needs. You know what I mean like, and this is what I met with Janice yesterday, and then Shannon, you know she came to me also, and she was saying, you know well, I’ve already brought this up, and it’s still not fixed, so I just wanted to
101 00:14:05.510 ⇒ 00:14:07.100 YvetteRuiz: it where
102 00:14:07.590 ⇒ 00:14:15.530 YvetteRuiz: I just want to get her a true pulse check. I know we get the slides and everything, but it still seems like we’re not completing some of the things that we’ve
103 00:14:15.870 ⇒ 00:14:26.939 YvetteRuiz: are asking for. So, Janice, I’m gonna I want you to speak on some of this. One of them was the big in the inspector Sheet, which you know, we got a lot of feedback from. But then Shannon shared.
104 00:14:27.660 ⇒ 00:14:32.410 YvetteRuiz: and I told her, please email me, Shannon. So she did.
105 00:14:33.813 ⇒ 00:14:37.799 YvetteRuiz: And one of her things that she’s saying, and
106 00:14:37.940 ⇒ 00:14:42.089 YvetteRuiz: she said she put this in the in the in the feedback loop, but she’s saying
107 00:14:43.600 ⇒ 00:14:46.919 YvetteRuiz: the screenshot. So the the the
108 00:14:47.200 ⇒ 00:15:00.389 YvetteRuiz: not the inspector sheet, but the tech sheet. She’s saying that it’s still populating incorrect information, do we? Or is there known issues with the pest skill set sheet guys.
109 00:15:02.630 ⇒ 00:15:03.780 Uttam Kumaran: Amber. That’s a question.
110 00:15:03.780 ⇒ 00:15:07.549 Amber Lin: Yeah, that one. We just talked about it yesterday. So.
111 00:15:07.550 ⇒ 00:15:08.100 YvetteRuiz: In there.
112 00:15:08.100 ⇒ 00:15:13.499 Amber Lin: Is a new item that we added in the termite section on the.
113 00:15:13.500 ⇒ 00:15:14.070 YvetteRuiz: No.
114 00:15:14.070 ⇒ 00:15:22.700 Amber Lin: Sheet. That’s what Shannon is referring to, and I’ve ticketed it out and asked the team on that. So it’s
115 00:15:23.050 ⇒ 00:15:23.820 Amber Lin: not.
116 00:15:23.820 ⇒ 00:15:26.620 Uttam Kumaran: When did when did that request come in? Amber.
117 00:15:26.920 ⇒ 00:15:29.529 Amber Lin: I think it came in earlier this week.
118 00:15:31.360 ⇒ 00:15:37.209 Uttam Kumaran: Yeah, so do we. I mean, I think one thing that would be helpful to note is just like, what is our typical time that we turn around these.
119 00:15:37.210 ⇒ 00:15:37.720 YvetteRuiz: Around
120 00:15:38.230 ⇒ 00:15:43.340 Uttam Kumaran: Yeah, cause for us, I for anything that’s like, look if we’re late on stuff that’s like a week ago that.
121 00:15:44.000 ⇒ 00:15:52.180 Uttam Kumaran: That’s on us. But I wanna make sure for the stuff that’s still open. What are things that we’ve known about for more than a week. And what stuff that came up
122 00:15:52.410 ⇒ 00:15:54.500 Uttam Kumaran: just like yesterday, because then we’ll still need.
123 00:15:54.890 ⇒ 00:15:57.550 Uttam Kumaran: That’s what we’ll need some time like at least a few days.
124 00:15:58.009 ⇒ 00:16:05.239 Uttam Kumaran: But I would love to hear if there are open items that we’ve been sitting on for quite a while. I know this inspector Sheet is one of them.
125 00:16:05.390 ⇒ 00:16:12.790 Uttam Kumaran: Yup and I. That’s what I want, Janice to speak on this. And so that’s what I was. I specifically because Shannon had made it seem like it was.
126 00:16:12.920 ⇒ 00:16:17.979 YvetteRuiz: We were working on that one. But I’m like, okay. But if it was just put in the chat
127 00:16:18.290 ⇒ 00:16:31.910 YvetteRuiz: 2 days ago again, I don’t know what the turnaround agreement time, but I meet today, so I will make sure that, hey, when these things come up, what is the expected turnaround? Is it 24 h? Is it 48 h?
128 00:16:32.564 ⇒ 00:16:45.740 YvetteRuiz: For us to take action? So then, that way, there is no gray area we already know. Hey? We know if we don’t hear back from here, we either start. Hey! Where are we with that, or talk, communicate with one another. So what what would be the
129 00:16:46.690 ⇒ 00:16:49.909 YvetteRuiz: turnaround time. I guess I would ask, would it be 48 h? Would that be.
130 00:16:49.910 ⇒ 00:17:04.099 Uttam Kumaran: Yeah, for us, for for us, at least, to triage between 24 to 48 h and triage, meaning like, acknowledge the problem, discover. And then, basically, what is the fix right like for this? We
131 00:17:04.099 ⇒ 00:17:27.690 Uttam Kumaran: we triage this within 24 h of getting your message, and then came up with a plan. And that plan. We’re just about gonna finish this week, probably executing the whole thing. But I say 24 to 40 h fair in the weekends as soon as we can get on and we’ll we’ll we’ll do our best. I think one thing that’s helpful even for me. Amber is part of this meeting. I would love us to go through what those issues that came up
132 00:17:27.829 ⇒ 00:17:35.949 Uttam Kumaran: and like if they got resolved. Like kind of the things I’m interested in is like, what are the open issues that currently exist? I know the backlog
133 00:17:36.070 ⇒ 00:17:39.739 Uttam Kumaran: for this team. There’s a quite a bit in there, so I would like to see.
134 00:17:40.800 ⇒ 00:17:53.460 Uttam Kumaran: Yeah, like, what are the open issues? And then also, you know the feedback form. I sort of read through that. But I I kind of want to know which ones are turning into tickets. Cause I I feel I don’t feel like I have a clear understanding either.
135 00:17:55.020 ⇒ 00:18:22.970 Amber Lin: Yeah, so currently, we have the feedback sheet that the feedback documents, everything that goes through Andy. So when people submit feedback through Andy, it’s captured in the feedback sheet. And right now we review it about 2 or 3 times each week to assign the owners to that, and a lot of it is changes to the Central Doc. Those are assigned to Janice, whatever is related to spreadsheets, or
136 00:18:22.970 ⇒ 00:18:33.340 Amber Lin: if it’s existing in the central dock, and it’s not populating. Then it’s our responsibility. So that’s how things are divided in terms of process. We currently
137 00:18:33.400 ⇒ 00:18:49.320 Amber Lin: create tickets mostly through when we receive a chat message about something. Because we need to make sure 1st that it’s not that it’s not. We need to make sure it exists in the Central Doc first, st and then whatever
138 00:18:49.790 ⇒ 00:18:56.900 Amber Lin: is something that brain force needs to fix that, then we will go do that. So that’s currently how I triage the issues.
139 00:18:58.620 ⇒ 00:19:04.956 Amber Lin: Can I? Just if I just pull up the central dot? If I just pull up this main spreadsheet we should see that that list right.
140 00:19:06.510 ⇒ 00:19:07.919 Uttam Kumaran: Let me just try to get that.
141 00:19:09.280 ⇒ 00:19:30.239 JanieceGarcia: And I know what I’m doing is anything that’s assigned to me on the feedback, or I’m going through. And I’m looking at the feedback. If I have gone in and tested it myself, or I’ve updated the Central Doc, and then I’ve retested it, and it’s still not coming out, or it’s still not going being correct. I’m assigning it to Amber to Brain Forge.
142 00:19:30.320 ⇒ 00:19:47.900 JanieceGarcia: So that way it does, and I’ll put on there as a testing mode. Which there was a couple of things on when I worked on it on Tuesday there was some things that I ended up going in, and I didn’t bring that to Amber’s attention as well. And just added her on the sheet
143 00:19:48.070 ⇒ 00:19:49.299 JanieceGarcia: and let her know.
144 00:19:49.300 ⇒ 00:19:55.200 Uttam Kumaran: And is this like where that’s being added? Because this is I. Look at this, and I look at us. We have. We have also log into slack.
145 00:19:59.030 ⇒ 00:20:16.169 JanieceGarcia: Yes, and that’s where I had asked. Amber and Amber had created a different sheets where I can see everything that’s being assigned to myself, because it is getting pretty messy, and there’s a lot of old stuff in there that you know. I know we don’t need anymore.
146 00:20:16.840 ⇒ 00:20:23.730 Amber Lin: Yeah, so we have this spreadsheet, and we have different views. So the views are just right. There.
147 00:20:23.730 ⇒ 00:20:24.410 Uttam Kumaran: Okay.
148 00:20:26.190 ⇒ 00:20:27.310 Uttam Kumaran: Great. Okay.
149 00:20:28.100 ⇒ 00:20:38.060 YvetteRuiz: So this sheet right here. This is everything on the feed, the feedback sheet that we just okay for the Csr feedback from here. Then it’s assigned.
150 00:20:39.660 ⇒ 00:20:43.850 YvetteRuiz: And then it looks like what Amber’s clicking right now is. Everyone has their tabs.
151 00:20:45.370 ⇒ 00:20:46.740 JanieceGarcia: We have our own views.
152 00:20:47.450 ⇒ 00:20:48.260 Amber Lin: Yeah.
153 00:20:49.110 ⇒ 00:20:59.860 Uttam Kumaran: Yeah. So right now, what I’m looking at is like, basically, someone comes in and just assigns an owner here. And then, once the owners assigned. There are views for
154 00:21:00.531 ⇒ 00:21:06.680 Uttam Kumaran: looks like just Janice here that you can click in and see the tasks that are assigned.
155 00:21:10.760 ⇒ 00:21:11.859 YvetteRuiz: This is Janice.
156 00:21:12.360 ⇒ 00:21:13.769 Uttam Kumaran: This is for everybody.
157 00:21:13.770 ⇒ 00:21:15.459 YvetteRuiz: Okay, got it, got it, got it, got it?
158 00:21:16.370 ⇒ 00:21:18.290 Uttam Kumaran: Yeah, I don’t know.
159 00:21:19.710 ⇒ 00:21:22.909 Uttam Kumaran: Like amber. How do I go back to like the default?
160 00:21:22.910 ⇒ 00:21:25.659 Amber Lin: Oh, click! Exit! View on the bottom.
161 00:21:27.000 ⇒ 00:21:28.950 Uttam Kumaran: So, yeah, this is everybody.
162 00:21:29.150 ⇒ 00:21:45.049 Uttam Kumaran: And then we sort of assign Brainforge or one of the other people. But I guess, like my my question for Janice like is, has this been working? Is this like the best way to do this? Like we? We can also do this in our ticketing system, which is like what I frankly what I would prefer.
163 00:21:45.270 ⇒ 00:21:50.379 JanieceGarcia: I, truthfully. And that’s kind of what I was telling you that yesterday is. It’s it’s messy.
164 00:21:50.500 ⇒ 00:21:56.849 JanieceGarcia: It’s gotten messy for me, and I don’t know if it’s just, it’s because it’s becoming more than just
165 00:21:57.020 ⇒ 00:21:57.860 JanieceGarcia: past.
166 00:21:58.130 ⇒ 00:22:17.309 JanieceGarcia: and everybody’s in it, and I don’t want to miss something, and I don’t, you know. And like, I said, we’ve updated some stuff and we’ve gone in. And so things from like April or more, May and June. That stuff has already been worked and done, I’d like to be able to have it more clear and kind of know where
167 00:22:17.780 ⇒ 00:22:23.550 JanieceGarcia: where I’m at, cause all I did was I just went through the entire list on Tuesday, and just.
168 00:22:23.810 ⇒ 00:22:24.800 Uttam Kumaran: Started.
169 00:22:25.050 ⇒ 00:22:26.860 JanieceGarcia: Making sure everything was good.
170 00:22:27.010 ⇒ 00:22:33.559 Uttam Kumaran: Well, one suggestion I have is like this is not. I don’t think this is gonna be sustainable to to do like every day. I think.
171 00:22:33.560 ⇒ 00:22:34.250 JanieceGarcia: Right.
172 00:22:34.250 ⇒ 00:22:36.180 Uttam Kumaran: Probably what’s best is to batch
173 00:22:37.097 ⇒ 00:22:44.209 Uttam Kumaran: you know, on some cadence to do this, but I guess what I’m curious about Yvette is like, what do you think like an sla for?
174 00:22:44.470 ⇒ 00:22:48.600 Uttam Kumaran: For this could be because some of these, for example, are just.
175 00:22:48.700 ⇒ 00:23:02.859 Uttam Kumaran: Some of these are like brain forge things where? Okay, these are all the inspector, some of the inspector ones that we’re fixing their changes to the set to the central dock. Like, if I was. If I give you an example like I’m this is sort of what I’m looking at in slack.
176 00:23:03.040 ⇒ 00:23:05.890 Uttam Kumaran: and we get. We get all the feedback here. So.
177 00:23:06.370 ⇒ 00:23:10.660 Uttam Kumaran: There’s a question that’s like, I was just looking at it.
178 00:23:12.800 ⇒ 00:23:16.439 JanieceGarcia: Oh, you passed one that said, Who do I send a follow up to? I think.
179 00:23:24.330 ⇒ 00:23:31.150 Uttam Kumaran: Like this is for Shannon, just from Shannon, like customer, has activity with a termite beating annual. How to schedule
180 00:23:31.370 ⇒ 00:23:34.849 Uttam Kumaran: this is the output, not correct answers. So this is for me.
181 00:23:35.600 ⇒ 00:23:46.309 YvetteRuiz: Something that would probably go to to Denise for for triage. Right? But I guess my point is that this is probably something that someone would need to come to you. Say Andy’s not working.
182 00:23:46.310 ⇒ 00:23:46.860 YvetteRuiz: Yes.
183 00:23:46.860 ⇒ 00:23:52.439 Uttam Kumaran: But it’s like we, we have the right product. We got the question. It’s gonna get marked for genie. So
184 00:23:52.580 ⇒ 00:23:58.910 Uttam Kumaran: I would say, like, it has to probably end up being like at least a week, if not a few days, sla on some of these, because.
185 00:23:58.910 ⇒ 00:23:59.215 YvetteRuiz: Yeah.
186 00:23:59.520 ⇒ 00:24:09.239 Uttam Kumaran: Doing this every day is gonna be tough week, because we’re getting feedback every day, and our team is going through and triaging. But some of these are like, for example, do we perform gas inspections?
187 00:24:10.186 ⇒ 00:24:21.920 Uttam Kumaran: Yes, we do. Okay, so then there’s a steps like, where is it in the Central Doc, is it wrong in a couple of places? Let’s make the change. Confirm. It’s done like testing right for every single one of these.
188 00:24:23.670 ⇒ 00:24:48.959 YvetteRuiz: yeah, and and and I think you know it is, it’s it’s reasonable, I mean, I would say, a week, you know, I I would say a week, and and again, Janice, whatever yours is like on your on your like. How often do you have like a time block? And this is what we were talking about, where you go in there and dedicate. Okay, to make sure that you’re closing out your stuff. I don’t know what Shannon’s part of it isn’t in here. So then, that way this stuff is.
189 00:24:48.970 ⇒ 00:25:05.464 YvetteRuiz: It’s just easier for me to turn around, be able to turn around and tell the group, hey, guys, when your your questions come in. You know we are watching for them. If there’s something urgent, obviously, we’re we’re gonna we can keep an eye on them, but the expected turnaround is a week.
190 00:25:06.400 ⇒ 00:25:34.800 JanieceGarcia: Right, and I do have blocks. I mean Shannon and I. Are. We changed from our working session. I had an hour block each day in the morning for Brain Forge, and that’s on my schedule. But Mondays and Wednesdays I use the blocks for the working session. So the Monday one is with Shannon, and then the Wednesday one is with the Csrs. But Tuesday, Thursday, and Friday I do make sure that I I keep that time. And I just focus on the brain forge stuff.
191 00:25:35.980 ⇒ 00:25:46.330 Uttam Kumaran: Yes, I think there’s 2 things that could be helpful. One, I think, Amber, we’ll talk about whether we want to use a spreadsheet. I mean, I feel like for me. This is a this is a little bit easier. Because.
192 00:25:46.330 ⇒ 00:25:47.309 JanieceGarcia: So much cleaner.
193 00:25:47.310 ⇒ 00:26:15.499 Uttam Kumaran: Yeah, because, for example, I would look at this and and immediately know, okay, like, this doesn’t seem like an AI issue. It seems like something missing a central Doc. And then me. And we could just chat in here. Or you could basically like, for example, some things that we do on other teams is whoever’s taking it. Someone just puts a checkbox, acknowledges it. And then, once you’re done, you could update the central doc and then literally probably send the same question back and then send a screenshot
194 00:26:15.650 ⇒ 00:26:21.739 Uttam Kumaran: that’s working. And then the benefit of that is, that’s the evidence that then at the end of the week, we would say, cool. We got these 30.
195 00:26:21.740 ⇒ 00:26:22.910 YvetteRuiz: All the checks.
196 00:26:22.910 ⇒ 00:26:48.319 Uttam Kumaran: Here all of them checked. And then whoever submitted it, they can get that email. And they’re like, they know that their feedbacks being heard like that seems like a little bit better than the spreadsheet. The other alternative is, we can use. We can use tickets for some of these. You know, like we take it out all of our work in linear. Similarly, these can just auto populate there. And that way you’ll you have a little bit of simple view to go look at that. But
197 00:26:48.490 ⇒ 00:26:56.690 Uttam Kumaran: it’s another tool. And maybe some of these need conversations between you and our team. The nice thing about doing it here is that you can tag
198 00:26:56.820 ⇒ 00:27:01.139 Uttam Kumaran: like Casey in here and ask a question or amber in here and ask a question.
199 00:27:01.480 ⇒ 00:27:09.679 Uttam Kumaran: So if this is best we could do it here. I just know the volume is pretty high, so I don’t want to
200 00:27:10.300 ⇒ 00:27:24.909 Uttam Kumaran: like have an expectation that, like all of these are gonna get hit immediately. But, for example, if I’m seeing a bunch that are like not listing the inspectors, I know this is an inspector sheet thing. So I immediately know, okay, this is like something we should.
201 00:27:25.700 ⇒ 00:27:26.580 Uttam Kumaran: Our team should manage.
202 00:27:26.580 ⇒ 00:27:42.050 YvetteRuiz: Yeah. And and I’m with you. 100 because I don’t. Again. I know things take time and everything. And then, like I told Shannon, just you guys can’t come and say, Oh, we’ve been working on this, or we’ve not gotten any outcomes. Okay? Well, what’s what is the turnaround process.
203 00:27:42.050 ⇒ 00:27:42.380 Uttam Kumaran: Yeah.
204 00:27:42.380 ⇒ 00:27:50.316 YvetteRuiz: Where are we with that? And that’s kind of that’s the gap that I wanted to bridge, is, is it? Is it us? Is it them, I mean, do we? What’s our process today?
205 00:27:50.930 ⇒ 00:27:58.800 JanieceGarcia: Truthfully the inspector sheet thing. That was something that I know we’ve brought up. I’ve brought up several times.
206 00:27:59.275 ⇒ 00:28:19.380 JanieceGarcia: And that was the only thing that really has. And I knew cause I’ve been updating it. And so the updates will show. But it’s like everything from before wasn’t showing but other than that, I mean amber jumps on it very, very quickly. And I, truthfully, I like the way that you were talking about on
207 00:28:19.500 ⇒ 00:28:28.690 JanieceGarcia: this. If this is slack, because I see it kind of as my Google chat. And I watch my Google chat like a hawk. So
208 00:28:29.454 ⇒ 00:28:42.660 JanieceGarcia: you know that way, because if you bet, messages me something, or Hey, can we look at this? Then I know I gotta jump on it right then and there, so I would treat this almost like my Google chat as well, and it would be easy for me to communicate with you guys.
209 00:28:43.880 ⇒ 00:29:08.429 YvetteRuiz: I like the slack to the ticketing system. So the ticketing system and I and I again, I like the slack. I like the ticketing system. I mean, the ticketing system reminds me of what we do with our evolve system. So our you know what I mean. There’s a there’s a help ticket that needs to be created because the Csr doesn’t have X, right? It goes there. And then we get the. You know, we’re able to track the ticket. So how would that work on y’all’s end? Is that the same way, or is that the.
210 00:29:08.430 ⇒ 00:29:09.060 Uttam Kumaran: Yeah, like.
211 00:29:09.060 ⇒ 00:29:10.079 YvetteRuiz: Or for you.
212 00:29:10.080 ⇒ 00:29:39.339 Uttam Kumaran: Yeah, like, here’s an example of like what our teams like tickets are right now for for y’all. So where we’re sort of like reviewing some of the things that we, the fixes we did. And then we’re blocked by Tim by stuff. So this is like where these have come in, I think, for this, what basically, what would happen is, anytime a feedback comes in. It would get put into a bucket that needs triage. One of us would have to come in and basically say, like, I’ve investigated it. It looks like a
213 00:29:39.450 ⇒ 00:30:00.519 Uttam Kumaran: it looks like one or one of a few different paths like, okay, there’s a common sop for fixing the central doc. Okay, there’s actually, it’s a brain forge integration issue. Okay, it’s like a data lag issue. And then there’s like steps that anyone on the team can take. And typically the way we do it is we for our for our teams. We kind of almost have like a goalie system where every
214 00:30:00.640 ⇒ 00:30:06.529 Uttam Kumaran: sprint or so someone is in charge of being that like 1st line goalie.
215 00:30:07.060 ⇒ 00:30:11.260 Uttam Kumaran: So that’s something that we could rotate. That’s what that that way. Not everybody is like
216 00:30:11.510 ⇒ 00:30:17.599 Uttam Kumaran: seeing those and get stressed out. But someone is there to be like, Hey, these are urgent, and these are just
217 00:30:17.750 ⇒ 00:30:25.810 Uttam Kumaran: our normal Sla. And then it would come here to track. So we can have basically a couple of statuses. So we could do it. We could do there. We could do it
218 00:30:25.920 ⇒ 00:30:32.869 Uttam Kumaran: in just slack for me. I would prefer both because I want to be able to see the load on everybody.
219 00:30:33.450 ⇒ 00:30:39.990 YvetteRuiz: Yeah, that’s kind of what I’m thinking. Because, Janice and we’re this is, this is exactly like Evolve help, which is.
220 00:30:40.710 ⇒ 00:30:53.919 YvetteRuiz: that’s that belongs to us just like it would like, that’s just like anything that we can handle that belongs to us versus Central Doc, and then evolve help which belongs to the brain forage team. And I I really like this, that process.
221 00:30:54.650 ⇒ 00:31:00.090 JanieceGarcia: Yeah, I mean, I’m completely down with either or just the spreadsheet. It.
222 00:31:01.060 ⇒ 00:31:01.730 Uttam Kumaran: Okay, let’s.
223 00:31:01.730 ⇒ 00:31:03.500 JanieceGarcia: Driving, my spreadsheet.
224 00:31:04.766 ⇒ 00:31:07.599 YvetteRuiz: Kill it. Okay, okay.
225 00:31:09.620 ⇒ 00:31:13.006 Uttam Kumaran: I will do anything. Just not the spreadsheet.
226 00:31:13.430 ⇒ 00:31:18.429 Uttam Kumaran: Okay? So yeah, maybe Amber, we can have a discussion in slack. And next, yeah.
227 00:31:18.550 ⇒ 00:31:28.429 Amber Lin: That sounds great cause I was. I was looking at it, too, and I was asking the team to add tags for the new departments, and it’s only gonna get bigger and bigger. So.
228 00:31:28.700 ⇒ 00:31:34.510 Uttam Kumaran: Yeah, no, I don’t. I don’t want to use a spreadsheet at all like I use. I’m in slack looking at it because it’s yeah. So.
229 00:31:34.510 ⇒ 00:31:38.840 JanieceGarcia: I need to see it move. And that’s not. That’s not what’s happening.
230 00:31:38.970 ⇒ 00:31:39.929 Uttam Kumaran: Yeah, I agree.
231 00:31:39.930 ⇒ 00:31:43.120 JanieceGarcia: So I feel like it’s all still there for us to do, and it’s.
232 00:31:44.620 ⇒ 00:31:45.010 Uttam Kumaran: I agree.
233 00:31:45.010 ⇒ 00:31:46.426 JanieceGarcia: Not okay with my brain.
234 00:31:48.710 ⇒ 00:31:56.060 YvetteRuiz: Okay. So we’re gonna circle back to determine. It looks like we’re gonna come up with the agreement of the ticketing system.
235 00:31:56.060 ⇒ 00:31:56.810 Uttam Kumaran: Yes.
236 00:31:56.810 ⇒ 00:32:05.789 YvetteRuiz: Okay? And what? That’s gonna okay. I like that. Janice, any other things that we need to before I jump into the 8 Byte stuff.
237 00:32:05.850 ⇒ 00:32:12.111 JanieceGarcia: No, that was that was all that I had what I talked to you about yesterday, so.
238 00:32:12.480 ⇒ 00:32:14.790 YvetteRuiz: It looks like the Shannon thing was just re.
239 00:32:14.790 ⇒ 00:32:21.380 JanieceGarcia: It was just recent. It really was. It was brought up in our deal in our working session yesterday, so.
240 00:32:21.850 ⇒ 00:32:35.289 YvetteRuiz: Okay. Again, she made it sound like it was a thing. But I’m it doesn’t sound like that. Sounds like it was just recent. And stuff like that. But we have an established timeline 24 to 48 h on. So then that way, got it? Okay?
241 00:32:36.187 ⇒ 00:32:46.190 YvetteRuiz: Thanks for walking through that with me. On the 8 by 8 stuff. So yeah, I had mentioned to Amber I had did a webinar udem
242 00:32:46.919 ⇒ 00:33:09.609 YvetteRuiz: early. I can’t remember when I did it. But with 8 by 8 and they have an AI assistant. They also have, like the AI that connects to that’s able to connect to our phone calls and listen. Live at the time. And prompt. You know what I mean like questions, you know, based off of tone and all that other stuff.
243 00:33:10.350 ⇒ 00:33:14.330 YvetteRuiz: I just I guess I was. My questions were more like.
244 00:33:14.620 ⇒ 00:33:17.669 YvetteRuiz: how would something that we’re working on today
245 00:33:18.520 ⇒ 00:33:30.359 YvetteRuiz: be able to be incorporated with that. You know what I mean, because you and I have had some conversations about man for them to be able to listen into. The phone calls to be able to have that a assistant pop up versus doing the search.
246 00:33:30.710 ⇒ 00:33:34.969 YvetteRuiz: That’s huge. So I just wanted to talk through that
247 00:33:35.600 ⇒ 00:34:00.049 YvetteRuiz: because it sounds like, you know, that is a a a big thing right now, with 8 by 8, and I know that we’re getting ready to in integrate with a evolve in 8 by 8, because we wanted to be able to connect to our Crm. We want to be able to put all that information. But then we have. We’re working with the this part of it, too. How do we connect all the dots? And I know that you guys have the Apis. Now, y’all, you guys are integrated. Y’all are reading the transcripts.
248 00:34:00.260 ⇒ 00:34:03.850 YvetteRuiz: So my question is, I’m just trying to connect all the dots.
249 00:34:04.150 ⇒ 00:34:23.569 Uttam Kumaran: Yeah. So, for I would be curious if you can send me anything that you heard from 8 by 8 on that I mean, we’re happy to just go discover like what they’re what the functionality is like for me. I would like to see whether that’s something that folks can pull up right alongside, or we can integrate with their system to have it. Basically get the voice, because 8 by 8
250 00:34:23.690 ⇒ 00:34:38.010 Uttam Kumaran: is in the middle there somewhere, right? So they’re getting the transcript. That could be something. I mean, it could be another thing that we we work on and see whether this is a. This is, the problem is like right now, because we’re just in the Google Chat. Or so, we’re a little bit hamstrung because it’s just.
251 00:34:38.010 ⇒ 00:34:38.350 YvetteRuiz: Yeah.
252 00:34:38.350 ⇒ 00:34:59.860 Uttam Kumaran: Text stuff. But one thing that we can consider is like, do we want to create something a little bit more advanced where maybe it’s another interface that every time someone hops on the call they just open that up, and it almost like listens to them and is giving them tips. It’s something that I you know, we decide to go with the Google Chat just because of it’s already streamlined. Everything.
253 00:34:59.860 ⇒ 00:35:00.230 YvetteRuiz: Yeah.
254 00:35:00.230 ⇒ 00:35:22.319 Uttam Kumaran: But I now I know that we’re what we’re seeing. And basically you know, we’re what we’re what we’re exploring. And Sam, who’s on the call is actually joined us on our AI team. We’re starting to explore different interfaces. Right? So how do we have the AI actually hear something and then recommend. I kind of think you’re thinking about these. Here’s some follow up questions you can ask
255 00:35:22.571 ⇒ 00:35:36.900 Uttam Kumaran: and there is a voice component to that. So maybe we can. We can take a stab at something. And next week, when we meet, I can kind of present a couple of ideas. Like, how about we? We do that, and then I will. If you could send me even that Webinar Link, or anything.
256 00:35:36.900 ⇒ 00:35:42.611 YvetteRuiz: Yes, I was gonna do that, and I totally forgot. I have the webinar link. I was gonna forward it to you. I just didn’t know if that was a bit much.
257 00:35:42.790 ⇒ 00:35:46.999 Uttam Kumaran: No, no, send me. Yeah. Send me anything anytime. Send me. I’ll read it, I promise.
258 00:35:48.700 ⇒ 00:35:57.820 Uttam Kumaran: Don’t worry about spamming me or anything. So I, yeah, please send me that, and we’ll look through their feature. Set and like, kind of come up with a few ideas. We can test.
259 00:35:58.050 ⇒ 00:36:04.129 YvetteRuiz: Okay, yeah, cause that would be. And I and I. And you’re right. We we did establish the the Google Chat. But I know even early on. We’re like it.
260 00:36:04.130 ⇒ 00:36:05.790 Uttam Kumaran: We’re talking about voice and stuff like that.
261 00:36:05.790 ⇒ 00:36:07.020 YvetteRuiz: Voice and stuff like that.
262 00:36:07.020 ⇒ 00:36:34.590 Uttam Kumaran: To do that now, because I feel actually really good about the way it’s working. I think what we’re finding that that is limiting is is one like just our ability to triage issues. But I, you know, for me, when even when the issue came with this week, Inspector Sheet, like, I know it’s something we’ve been working on. But there’s gonna be issues. So I can never say that there’s never gonna be problems. But what what we’re gonna say is that we have a path towards triaging, and we have a contract like on what steps we’re gonna take
263 00:36:34.590 ⇒ 00:36:47.269 Uttam Kumaran: right and trying to be transparent to that whole thing. But I also think that now we can always we can keep ending up in like sort of optimization mode forever. So I want us to think about like, are there other changes we wanna make
264 00:36:47.698 ⇒ 00:36:59.720 Uttam Kumaran: in the like for voice or different interfaces? That could maybe. Now that you guys also see the way it’s working. There could be like a an entire version. 2 of this so totally worth us doing.
265 00:37:00.030 ⇒ 00:37:09.219 YvetteRuiz: Okay, yeah. And and by all means, the the whole thing with I I know that we’re gonna run into the the hiccups and everything. It was just that that was the one and and
266 00:37:09.880 ⇒ 00:37:11.970 YvetteRuiz: ours. I mean you, the emails that we’re getting.
267 00:37:11.970 ⇒ 00:37:17.170 Uttam Kumaran: And there’s a lot of people, and I know, but for me it’s like, I’m happy because people care
268 00:37:18.150 ⇒ 00:37:20.940 Uttam Kumaran: like it’s like, what did they say, like any publicity is good publicity, right?
269 00:37:21.800 ⇒ 00:37:30.580 Uttam Kumaran: As long as people are talking about it and using it. And you know they see that we fix it? You know, that’s that’s important to us. So yeah.
270 00:37:30.950 ⇒ 00:37:31.660 Uttam Kumaran: I think what.
271 00:37:31.660 ⇒ 00:37:34.139 YvetteRuiz: Then I have my entire team on a smart goal. This
272 00:37:34.560 ⇒ 00:37:41.357 YvetteRuiz: put everyone in a smart goal, and I told them their goal is they? They will make it. Did you, Andy? It? Did you go to Andy? Did you do this right?
273 00:37:41.570 ⇒ 00:38:05.930 Uttam Kumaran: I know that the pressures on. That’s what we wanted. So we’re gonna we’re gonna fix these things and like, it’s good that. And I, you guys, should be putting pressure on us like no fear, no fear on that. I think it’s helpful that we talked through this, and we’ll we’ll now have a little bit of a better process. And there’s also some smart things about even suggesting what the fix is. So something, Sam, that we can talk about is, how do we use another AI to actually, maybe even triage.
274 00:38:06.020 ⇒ 00:38:22.319 Uttam Kumaran: as the 1st step to look at some of the feedback that’s coming in and then to suggest a fix. Cause. It’s clearly taking a lot of time from Janice and Shannon to look through that. So I think we, as part of our like entire feedback loop process. That’s what’s something we were thinking about. So.
275 00:38:23.200 ⇒ 00:38:34.189 YvetteRuiz: Okay. Well, I’m gonna send you the webinar because I just I was just mind blown. And and you know, I mean just learning all these things. And we, you know, I know we’re operating here. We’re operating that. But you know, man, if
276 00:38:34.270 ⇒ 00:38:54.690 YvetteRuiz: we can, every everything that we work to to put together so far, you know. Have it. Listen in, and it just kind of populate there for us, you know whether it be the cancellation piece of it. Here’s all your safe tactics, or you know how you’re supposed to answer it, or Hey, prompt them to ask more questions. It was just super cool, just seeing it on the screen populate there for them.
277 00:38:54.690 ⇒ 00:38:56.040 Uttam Kumaran: Yeah, okay, okay, perfect.
278 00:38:56.040 ⇒ 00:38:56.820 YvetteRuiz: Thank you.
279 00:38:57.350 ⇒ 00:39:02.429 YvetteRuiz: Yeah. Okay, well, I’m gonna forward that. Then to you, I was going to do it earlier. But I was like, Let me talk first.st
280 00:39:02.430 ⇒ 00:39:04.650 Uttam Kumaran: No, send it to me. Send it, please. Yeah.
281 00:39:06.000 ⇒ 00:39:08.520 Uttam Kumaran: I’ve signed up to so many of those. So thank you.
282 00:39:08.520 ⇒ 00:39:19.899 Uttam Kumaran: Like, I unless like, it’s like something specific for a client. I I try not to go anymore. But I I’m I should subscribe to the 8 by 8 1. So yeah, please send it to me, and I’ll go to the next one for sure.
283 00:39:19.900 ⇒ 00:39:21.320 YvetteRuiz: Okay, I can do that.
284 00:39:21.900 ⇒ 00:39:22.830 YvetteRuiz: Alright.
285 00:39:23.030 ⇒ 00:39:45.550 YvetteRuiz: Okay. Well, that was kind of my piece. Thank you again, guys, for jumping on that inspector piece of it. Just tap, tap is in. We’re ready to get get it back on on there and then. Yeah, I think everything else again is moving along amber. Thank you so much for getting the ball rolling on the lawn and the home Improvement piece of it. There’s a lot of moving pieces now, so we have a lot coming.
286 00:39:45.550 ⇒ 00:39:51.899 Amber Lin: Yeah. And thank you, Janice, for taking care of the feedback week, because I did not have capacity for that this week.
287 00:39:53.240 ⇒ 00:39:53.559 JanieceGarcia: All good.
288 00:39:53.560 ⇒ 00:39:55.800 YvetteRuiz: And all I ask, guys, is
289 00:39:56.210 ⇒ 00:40:12.544 YvetteRuiz: I, my managers are invested so like, whatever I need to do to help support, like, hey guys, I really need you to carve out X amount of time to make sure that we’re all getting the ball. Just let me know, and I will work with each and every one of them. So then, that way we stay on task as well.
290 00:40:13.470 ⇒ 00:40:13.779 Uttam Kumaran: Okay.
291 00:40:16.360 ⇒ 00:40:17.500 JanieceGarcia: Thank you all so much.
292 00:40:17.500 ⇒ 00:40:33.400 Uttam Kumaran: Okay, thank you. Yeah. So I’ll follow up as soon as these issues are fixed. And I’ll also follow up to confirm if we want to turn that off for the meantime and send a little message. And then I’ll we’ll figure out, maybe by end of tomorrow, if not Monday, for, like what the new process for tickets and stuff is going to be.
293 00:40:33.820 ⇒ 00:40:42.669 YvetteRuiz: Hey, really quick, before you get off. And I’m sorry. This I was, gonna test it out, and maybe it’s there when we ask Andy, a question does the dots come up like it’s thinking
294 00:40:42.870 ⇒ 00:40:43.859 YvetteRuiz: it does.
295 00:40:44.240 ⇒ 00:40:46.349 Uttam Kumaran: Like, there’s there are dots. Yeah.
296 00:40:46.350 ⇒ 00:40:48.169 YvetteRuiz: They are okay, all right. I hadn’t checked.
297 00:40:48.170 ⇒ 00:40:48.570 JanieceGarcia: It’s.
298 00:40:48.570 ⇒ 00:41:07.389 Amber Lin: No, I don’t think it exists yet. It was a functionality with Google that we’re trying to figure out that we weren’t able to do I think what we’re able to do is to send a message 1st to say we’re retrieving, and then when it’s done to delete that message and send the new answer in. So that’s what we can do. But it’s not in there yet.
299 00:41:07.650 ⇒ 00:41:26.109 JanieceGarcia: That’s what it is. But I I will say the time for response has gotten so much quicker. The only thing is there, and I forgot about that. The little message saying that it’s retrieving is if the response time is gonna be longer than what you guys are wanting it to be. That’s when it sends that message. So.
300 00:41:26.110 ⇒ 00:41:26.780 Uttam Kumaran: Accurate.
301 00:41:27.220 ⇒ 00:41:34.260 Uttam Kumaran: Yeah, I remember that we we had a our sort of thing was like at least send a gift or something that it’s like coming, and then send a message.
302 00:41:34.260 ⇒ 00:41:36.590 Uttam Kumaran: There is waiting. So okay, great.
303 00:41:36.720 ⇒ 00:41:51.236 YvetteRuiz: Got it. Okay? Alright, I just. I was kind of the tip of my mind. I was working with their Dallas office because they saw what we were doing. And so they’re now working on something I’m just like, Oh, my goodness, we I got we. I think we have that, too. That feature.
304 00:41:52.010 ⇒ 00:41:52.520 Uttam Kumaran: Cool.
305 00:41:52.520 ⇒ 00:41:53.960 YvetteRuiz: Alrighty!
306 00:41:53.960 ⇒ 00:41:54.670 Uttam Kumaran: Okay.
307 00:41:54.850 ⇒ 00:41:55.370 Uttam Kumaran: Thank you.
308 00:41:55.370 ⇒ 00:41:55.750 JanieceGarcia: Bye, guys.
309 00:41:55.750 ⇒ 00:41:58.679 YvetteRuiz: Thank you so much. You guys have a good rest of your day.
310 00:41:58.680 ⇒ 00:41:59.600 Uttam Kumaran: Thank you.
311 00:41:59.920 ⇒ 00:42:00.440 JanieceGarcia: Bye.
312 00:42:00.440 ⇒ 00:42:01.150 Uttam Kumaran: Bye.