Meeting Title: Delivery Excellence Weekly Date: 2025-09-29 Meeting participants: Justin Breshears, Awaish Kumar, Rico Rejoso, Samuel Roberts, Amber Lin, Uttam Kumaran
WEBVTT
1 00:00:20.470 ⇒ 00:00:22.250 Justin Breshears: Oh, Aish, how are you?
2 00:00:26.490 ⇒ 00:00:29.079 Awaish Kumar: Hello? I’m good, how about you?
3 00:00:29.920 ⇒ 00:00:31.109 Justin Breshears: Doing good, sir.
4 00:00:32.720 ⇒ 00:00:34.289 Justin Breshears: Rico, hello.
5 00:00:35.390 ⇒ 00:00:36.960 Rico Rejoso: Hi, Jesse, how are you guys?
6 00:00:38.710 ⇒ 00:00:39.790 Justin Breshears: Doing good.
7 00:00:48.600 ⇒ 00:00:49.730 Samuel Roberts: Hello, everybody.
8 00:02:55.350 ⇒ 00:02:58.190 Awaish Kumar: Justin and Sam, you both got some nice background.
9 00:03:00.460 ⇒ 00:03:04.609 Justin Breshears: Thanks. Just did some snooping on the Google Drive and found it.
10 00:03:04.810 ⇒ 00:03:06.029 Samuel Roberts: And I got it from him.
11 00:03:11.130 ⇒ 00:03:12.880 Justin Breshears: If you want it, I’ll share it.
12 00:03:13.090 ⇒ 00:03:14.800 Justin Breshears: I am not gatekeeping.
13 00:03:29.930 ⇒ 00:03:32.950 Awaish Kumar: So he’s… Are we waiting for Amber?
14 00:03:33.970 ⇒ 00:03:40.330 Justin Breshears: Yeah, waiting for everybody else, so we’ll give them a couple minutes, and then… C… We’ll get started.
15 00:03:43.990 ⇒ 00:03:44.950 Amber Lin: Hi there!
16 00:03:47.780 ⇒ 00:03:48.640 Justin Breshears: Hey, Amber.
17 00:03:50.580 ⇒ 00:03:57.760 Amber Lin: Let’s see… I realize Uta might not be here for the first 15 minutes. Let me check his time.
18 00:04:00.640 ⇒ 00:04:05.050 Amber Lin: Actually, the calendar is clear.
19 00:04:05.250 ⇒ 00:04:08.360 Amber Lin: Let me check again.
20 00:04:14.400 ⇒ 00:04:21.059 Amber Lin: Yeah, both of them should be here in 15 minutes. Let’s just clean up this report.
21 00:04:21.550 ⇒ 00:04:24.970 Amber Lin: For the meantime…
22 00:04:28.660 ⇒ 00:04:37.610 Amber Lin: Which, I think for the first 15 minutes away from Sam, if you want to hop off and hop on in a bit, that would be great. Sorry about the…
23 00:04:38.020 ⇒ 00:04:39.389 Amber Lin: Sorry about the time.
24 00:04:39.820 ⇒ 00:04:40.310 Samuel Roberts: was decent.
25 00:04:40.310 ⇒ 00:04:40.650 Amber Lin: check.
26 00:04:40.650 ⇒ 00:04:41.290 Samuel Roberts: Sorry.
27 00:04:42.270 ⇒ 00:04:43.130 Amber Lin: Yeah.
28 00:04:45.040 ⇒ 00:04:46.339 Samuel Roberts: I didn’t edit spell that one.
29 00:04:46.340 ⇒ 00:04:51.890 Justin Breshears: So we’re gonna officially start at 15, at a quarter past, because Uten has,
30 00:04:51.890 ⇒ 00:04:52.280 Amber Lin: Yeah.
31 00:04:52.280 ⇒ 00:04:55.230 Justin Breshears: So, you can hang out, or you can…
32 00:04:55.570 ⇒ 00:04:55.960 Samuel Roberts: Oh, okay.
33 00:04:55.960 ⇒ 00:04:57.360 Justin Breshears: Hop off or hop back on.
34 00:04:57.740 ⇒ 00:04:58.300 Amber Lin: Yeah.
35 00:04:59.470 ⇒ 00:05:00.000 Samuel Roberts: Okay.
36 00:05:00.770 ⇒ 00:05:04.379 Amber Lin: I just wanna make sure this report is up to date.
37 00:05:06.770 ⇒ 00:05:12.789 Justin Breshears: Yeah, so let’s dive into that, Amber, because I had some questions on… because you said you were pulling hours from RIL?
38 00:05:12.790 ⇒ 00:05:21.810 Amber Lin: Yeah, I originally was pulling it from Ville, because it was accurate for a while, and I checked today, and it was not, so…
39 00:05:21.810 ⇒ 00:05:24.620 Justin Breshears: me out, what… what is real?
40 00:05:24.630 ⇒ 00:05:35.990 Amber Lin: Real is what we build for our internal reporting. It’s an internal dashboard that the internal data team has set up, and we were intended to pull our hours from there, but…
41 00:05:36.770 ⇒ 00:05:41.260 Amber Lin: So it pulls data from Clockify, but since it’s not accurate, we might have to do it again.
42 00:05:41.260 ⇒ 00:05:44.920 Awaish Kumar: Remember, I tried to build a model for you?
43 00:05:45.830 ⇒ 00:05:50.990 Awaish Kumar: if you can, like, give me what exactly… like, what I understood from your request was that
44 00:05:51.280 ⇒ 00:06:06.979 Awaish Kumar: for a day, we can have a project name, and then we can say the time spent on that project on that day, and then also the estimated time. So I built that on Omni. Isn’t that, like, useful for you?
45 00:06:07.190 ⇒ 00:06:15.470 Amber Lin: I try to use that too, it’s just the hours don’t get completely updated, so there’s always…
46 00:06:15.760 ⇒ 00:06:18.459 Amber Lin: An issue comparing hours between the
47 00:06:18.760 ⇒ 00:06:26.690 Amber Lin: platforms like Clockify, and sometimes it’s just not completely up-to-date, and hence why it gets hard from time to time to grab
48 00:06:27.470 ⇒ 00:06:28.200 Amber Lin: Okay.
49 00:06:28.200 ⇒ 00:06:29.020 Awaish Kumar: Right.
50 00:06:29.020 ⇒ 00:06:29.970 Amber Lin: Yeah. Like…
51 00:06:29.970 ⇒ 00:06:37.089 Awaish Kumar: Maybe right now we are working… we are running that script from Krakvka to Snowflake, like, maybe once a day.
52 00:06:37.190 ⇒ 00:06:40.469 Awaish Kumar: We can improve that, like, we can maybe run every hour, so…
53 00:06:42.370 ⇒ 00:06:47.279 Awaish Kumar: That’s the number one thing. I can do that, just now, and then…
54 00:06:47.760 ⇒ 00:06:56.349 Awaish Kumar: after that, in the Omni, I’m using dbt now, so we also have to run that every hour, so…
55 00:06:56.350 ⇒ 00:06:56.700 Amber Lin: Okay.
56 00:06:56.700 ⇒ 00:07:00.560 Awaish Kumar: once I run that every hour, like, things should be up-to-date.
57 00:07:00.890 ⇒ 00:07:04.060 Justin Breshears: Is there a cost to running it more frequently?
58 00:07:05.460 ⇒ 00:07:11.660 Awaish Kumar: Like, right now, we are, like, obviously, it takes more…
59 00:07:12.930 ⇒ 00:07:19.589 Awaish Kumar: minutes to run on a, like, it utilized more compute, but right now we are using free
60 00:07:19.730 ⇒ 00:07:23.800 Awaish Kumar: free GitHub minutes, so that, like, won’t cost.
61 00:07:24.690 ⇒ 00:07:37.109 Justin Breshears: Yeah, because, I mean, I know… I know running things has some kind of compute cost, so what I… what I don’t want to do is run it unnecessarily every hour, like… like, I don’t need it running over the weekend, right?
62 00:07:37.450 ⇒ 00:07:41.160 Justin Breshears: So if we could, like, set just, like, time of day rules…
63 00:07:41.380 ⇒ 00:07:52.959 Awaish Kumar: For example, if you send me, okay, I want… I work on this report only on Thursdays, so I could do, like, okay, let’s run 9AM Thursday, so that Amber can work on it.
64 00:07:53.070 ⇒ 00:07:55.640 Awaish Kumar: We can, like, manage that.
65 00:07:56.110 ⇒ 00:08:00.409 Justin Breshears: I mean… Amber, what do you think? How often are you using these reports?
66 00:08:00.760 ⇒ 00:08:17.760 Amber Lin: Yeah, I think, ideally, if it gets refreshed, make sure to get refreshed early Monday, and perhaps late Friday. Late… once… a few times Friday, so I can check who’s still… whose hours are still missing, and on Monday, so I can fill in the accurate reports.
67 00:08:18.250 ⇒ 00:08:21.170 Awaish Kumar: No, no, but by web… by what time do you need? Because.
68 00:08:21.440 ⇒ 00:08:25.059 Amber Lin: Friday, I would say by noon p.m.
69 00:08:25.060 ⇒ 00:08:26.410 Awaish Kumar: SG.
70 00:08:27.090 ⇒ 00:08:36.490 Amber Lin: Yeah, Friday, I would say by noon PST, and Monday, I would say by, like… 8… 8 AM PST.
71 00:08:37.440 ⇒ 00:08:38.110 Awaish Kumar: Okay.
72 00:08:38.409 ⇒ 00:08:38.979 Amber Lin: Yeah.
73 00:08:39.450 ⇒ 00:08:40.850 Justin Breshears: Yeah, and I think…
74 00:08:40.890 ⇒ 00:08:53.129 Justin Breshears: we need to make it, like, the cutoff for getting your hours in then by 8am PSD on Mondays, because we need that port to be accurate for this call, so…
75 00:08:53.130 ⇒ 00:09:01.749 Justin Breshears: that… that’s… that’s a good plan for me, because yeah, I don’t think we need it updated so frequently, but we do need it accurate for this call.
76 00:09:02.530 ⇒ 00:09:03.419 Justin Breshears: Yep, and then…
77 00:09:03.420 ⇒ 00:09:10.550 Awaish Kumar: once every… once every day, and then Mondays and Fridays, you can run, like, multiple times in a day.
78 00:09:10.700 ⇒ 00:09:13.170 Justin Breshears: Yeah, I think that’d be… that’d be great.
79 00:09:13.370 ⇒ 00:09:21.789 Justin Breshears: The other question that I have is, how do we automate getting that data into this Notion doc.
80 00:09:21.890 ⇒ 00:09:22.920 Justin Breshears: That we have.
81 00:09:24.860 ⇒ 00:09:25.440 Awaish Kumar: I think…
82 00:09:25.440 ⇒ 00:09:30.739 Amber Lin: If we were to automate, isn’t it better to do it in a dashboard than to do it in Notion?
83 00:09:33.170 ⇒ 00:09:41.310 Justin Breshears: can we… can we get that dashboard, like, exported at some point? Because, like, what I’d like to have is a historical record.
84 00:09:41.310 ⇒ 00:09:42.549 Awaish Kumar: We can do good.
85 00:09:42.880 ⇒ 00:09:52.240 Justin Breshears: Okay, yeah, because I’m all about that, like, not having to fill in a Notion doc every week with this stuff, is way better. Like, if we can automate
86 00:09:52.240 ⇒ 00:10:03.119 Justin Breshears: getting this dashboard correct by a certain time, 8 AM PST on Monday, and then we can review that dashboard on this call instead of, like, having to update
87 00:10:03.620 ⇒ 00:10:16.050 Justin Breshears: the Notion doc, and then what I… what I want after this call is to be able to export that dashboard and store it somewhere where we have, like, a historical record of this, because what we’re going to be doing is tracking OKRs in this call.
88 00:10:16.170 ⇒ 00:10:21.979 Justin Breshears: So I want to make sure that we can have, like, a record of each time we had this call, like, how were we tracking on those OKRs?
89 00:10:24.250 ⇒ 00:10:29.520 Justin Breshears: If we can do that in a dashboard and automate that, then I think that would be a way better process than this.
90 00:10:31.010 ⇒ 00:10:32.030 Amber Lin: I agree.
91 00:10:32.030 ⇒ 00:10:37.800 Awaish Kumar: Like, we can do… We can maintain history, we can…
92 00:10:38.300 ⇒ 00:10:42.219 Awaish Kumar: Create table, and dashboard, everything, and exports as well.
93 00:10:42.380 ⇒ 00:10:43.900 Justin Breshears: Amazing. Yeah.
94 00:10:44.080 ⇒ 00:10:50.389 Awaish Kumar: the way you want to create a motion dock, it is a completely different structure, so we might not be able to.
95 00:10:50.390 ⇒ 00:10:55.259 Justin Breshears: No, I don’t need… I don’t need a Notion doc. What I was talking about is, like, we… historically…
96 00:10:55.470 ⇒ 00:10:56.610 Justin Breshears: We have been…
97 00:10:56.610 ⇒ 00:10:58.130 Awaish Kumar: Like, we can say.
98 00:10:58.130 ⇒ 00:11:01.880 Justin Breshears: Like, reporting based on this. Like, this is what I’m trying to avoid.
99 00:11:01.980 ⇒ 00:11:15.120 Justin Breshears: having to do this manual table, right? So, we don’t need a Notion doc. I was just saying, like, if there was either a way to populate this table automatically, great. If we do it the other way, then we don’t need this entirely, and we can just look at the dashboard.
100 00:11:17.310 ⇒ 00:11:18.989 Awaish Kumar: Yeah, we can, we can, like…
101 00:11:19.450 ⇒ 00:11:36.300 Awaish Kumar: We can easily have that, like, on this day, like, in the month of August, what are the clockify hours and the points, and in the month of September, what are Crocify hours and points, and what is right now in this week? So, all of that can be done in a dashboard.
102 00:11:36.870 ⇒ 00:11:49.689 Justin Breshears: Amazing. Yes, let’s do that then, because I think that would be so much better. And it’s a lot less work on you, Amber, and you, Rico, like, every week. You know, we’re not expecting y’all to manually do stuff on Monday mornings before this.
103 00:11:51.660 ⇒ 00:11:56.540 Justin Breshears: Okay, let’s have that. Okay, okay, I’m not the…
104 00:11:56.540 ⇒ 00:12:00.550 Awaish Kumar: Right now, what I’m missing is… is ours.
105 00:12:00.720 ⇒ 00:12:05.910 Awaish Kumar: So… the al- the… Hourly rates, basically.
106 00:12:06.040 ⇒ 00:12:16.000 Awaish Kumar: Right, so we have hours which are being aggregated into, by project, but, like, maybe on a project we spend 400 hours in a month, but…
107 00:12:16.500 ⇒ 00:12:24.530 Awaish Kumar: who will spend how much, and then multiply it, and figure out the cost. That could be… also be automated, but yeah, not in there yet.
108 00:12:25.160 ⇒ 00:12:30.060 Amber Lin: Yeah, I can… I can give you the hourly rates for people, I just don’t know if we can…
109 00:12:30.230 ⇒ 00:12:35.049 Amber Lin: Have it as a public data source, and it will have to be a private source.
110 00:12:36.770 ⇒ 00:12:38.619 Awaish Kumar: Yes.
111 00:12:38.620 ⇒ 00:12:39.170 Amber Lin: Yeah.
112 00:12:40.030 ⇒ 00:12:44.629 Awaish Kumar: Man, that is really hard. Right now.
113 00:12:45.080 ⇒ 00:12:49.499 Awaish Kumar: Because, most of our database
114 00:12:50.080 ⇒ 00:12:57.420 Awaish Kumar: everybody’s kind of, admin or something, because we are a very small team. People need access to do things, and then…
115 00:12:59.550 ⇒ 00:13:00.480 Awaish Kumar: Yeah.
116 00:13:00.870 ⇒ 00:13:02.370 Awaish Kumar: That’s hard, because.
117 00:13:02.970 ⇒ 00:13:07.959 Awaish Kumar: nobody has that access to Snowflake or Omni.
118 00:13:09.440 ⇒ 00:13:10.260 Amber Lin: Yeah.
119 00:13:13.880 ⇒ 00:13:16.269 Amber Lin: Okay, but I…
120 00:13:16.810 ⇒ 00:13:24.249 Amber Lin: If WooCom’s okay with it, we can just add it, then we can make it private in the future. I don’t think everybody has access to Omni yet.
121 00:13:24.410 ⇒ 00:13:25.690 Amber Lin: So, should be fine.
122 00:13:27.970 ⇒ 00:13:34.090 Justin Breshears: Okay, can I task the two of you with… Meeting and figuring that out.
123 00:13:34.430 ⇒ 00:13:38.669 Awaish Kumar: And is next week, like, a realistic timeline to have that ready?
124 00:13:39.660 ⇒ 00:13:41.150 Justin Breshears: On this call next week.
125 00:13:41.150 ⇒ 00:13:43.420 Awaish Kumar: You mean hourly rates, or…
126 00:13:44.060 ⇒ 00:13:46.669 Justin Breshears: I just mean that dashboard, that we did.
127 00:13:46.670 ⇒ 00:14:01.059 Awaish Kumar: The dashboard is already… already there. I’m not sure if you have looked at it, and if it makes sense. Like, I haven’t got any feedback on that. Like, it’s not a dashboard, it’s just a table, which is present… which is available in Omni, and you can see the
128 00:14:01.220 ⇒ 00:14:03.390 Awaish Kumar: Date, and you can see month.
129 00:14:03.640 ⇒ 00:14:06.569 Awaish Kumar: Or week, whatever you want to see, and then…
130 00:14:07.090 ⇒ 00:14:13.110 Awaish Kumar: You can basically see the project name, and their clockify hours, and their points from linear.
131 00:14:13.280 ⇒ 00:14:13.910 Awaish Kumar: So…
132 00:14:14.790 ⇒ 00:14:15.739 Awaish Kumar: We can’t go anywhere.
133 00:14:15.740 ⇒ 00:14:18.819 Justin Breshears: Can somebody send me that dashboard, if it is already created?
134 00:14:19.350 ⇒ 00:14:22.679 Awaish Kumar: It’s an… yeah, let me…
135 00:14:22.680 ⇒ 00:14:31.179 Amber Lin: I can send it. I was trying to build something more from it. I don’t think the linear points are accurate, but the hours should be…
136 00:14:31.690 ⇒ 00:14:34.260 Amber Lin: Aligned as long as the data source is updated.
137 00:14:34.790 ⇒ 00:14:41.419 Awaish Kumar: So, the thing is that, it depends, like, clockify hours on…
138 00:14:41.850 ⇒ 00:14:45.550 Awaish Kumar: Clockify and linear data is at a different granularity.
139 00:14:45.650 ⇒ 00:14:50.350 Awaish Kumar: So, for each… ticket, I… I don’t know Blockify hours. I know…
140 00:14:51.140 ⇒ 00:14:53.269 Awaish Kumar: Right. I’m going to spend 10 hours.
141 00:14:53.270 ⇒ 00:14:53.850 Amber Lin: Yeah.
142 00:14:54.150 ⇒ 00:14:54.900 Awaish Kumar: This week.
143 00:14:55.120 ⇒ 00:14:57.619 Amber Lin: Yeah, I agree, I just don’t…
144 00:14:57.620 ⇒ 00:14:58.270 Awaish Kumar: No, I think.
145 00:14:58.270 ⇒ 00:14:59.760 Amber Lin: The Irish…
146 00:15:00.120 ⇒ 00:15:08.219 Amber Lin: Yeah, I just don’t think the points completed on the linear column is accurate, but I think I wish I’ll just meet… we’ll just meet on that and make sure it’s…
147 00:15:08.220 ⇒ 00:15:16.959 Justin Breshears: So, is it not accurate because it’s, like, a data pulling issue, or is it not accurate because we’re not updating our tickets? Why would it not be?
148 00:15:16.960 ⇒ 00:15:22.129 Amber Lin: It’s because they’re different sources, and we have to join them on the same…
149 00:15:22.280 ⇒ 00:15:27.130 Amber Lin: Same projects, I assume, and sometimes the join key would affect the…
150 00:15:27.530 ⇒ 00:15:33.489 Awaish Kumar: So the thing is, it should be accurate by… like, when I say by day, right?
151 00:15:33.490 ⇒ 00:15:33.930 Amber Lin: the.
152 00:15:33.930 ⇒ 00:15:42.699 Awaish Kumar: the value can be… so in Clockify, I logged in maybe… my timeline could be different than in linear, but when we…
153 00:15:42.700 ⇒ 00:15:43.440 Amber Lin: Hmm.
154 00:15:43.440 ⇒ 00:15:45.339 Awaish Kumar: When we aggregate it by month.
155 00:15:45.460 ⇒ 00:15:48.639 Awaish Kumar: Or weak, like, that should be accurate.
156 00:15:48.770 ⇒ 00:15:57.190 Awaish Kumar: like, for a month of September, time estimations and clockify hour Should be accurate, like…
157 00:15:57.430 ⇒ 00:16:01.960 Awaish Kumar: On a specific day, it can be because of maybe time zone or something.
158 00:16:02.710 ⇒ 00:16:13.629 Awaish Kumar: like, we spent more hours on Monday, but it got classified into Thursday, it was possible. But, you know, on a monthly aggregated level, it should be fine.
159 00:16:13.740 ⇒ 00:16:15.789 Awaish Kumar: And secondly, we can even…
160 00:16:16.720 ⇒ 00:16:28.919 Awaish Kumar: Like, figure that out, like, on the… on the linear, we can see what… what time zone it uses, and it could occupy what time zone this uses, and then basically bring both in the same time zone, and…
161 00:16:36.130 ⇒ 00:16:36.940 Amber Lin: Okay.
162 00:16:37.060 ⇒ 00:16:40.910 Amber Lin: I’ll grab a… I wish I’ll grab a time with you, and then we’ll go look over that.
163 00:16:42.440 ⇒ 00:16:47.999 Awaish Kumar: So, yeah, so just give me more feedback on, like, how aggregated we want to go.
164 00:16:48.190 ⇒ 00:16:51.400 Awaish Kumar: Per person level, if you want to maintain both, like.
165 00:16:52.030 ⇒ 00:16:59.329 Awaish Kumar: Per, like, a clockified view, and a linear view, and then a merged view, where we.
166 00:16:59.330 ⇒ 00:17:00.080 Justin Breshears: Boom.
167 00:17:00.330 ⇒ 00:17:07.150 Awaish Kumar: Go further, like, by a person, by a project, or whatever, so we can add all those charts in the dashboard.
168 00:17:07.550 ⇒ 00:17:23.550 Justin Breshears: Yeah, that’s great. Let’s, let’s just make sure that it reports on everything that is in our OKRs that we need to report on, because that’s, like, the most important thing. So, if we are in our OKRs looking at linear tickets and their completion rate, then yeah, we need to make sure that we have
169 00:17:23.920 ⇒ 00:17:27.349 Justin Breshears: You know, good data on that to be able to report out, so…
170 00:17:28.769 ⇒ 00:17:35.299 Awaish Kumar: Yeah, so, yeah, we have most of it in real, but we are migrating it to Omni, so, yeah.
171 00:17:35.580 ⇒ 00:17:39.999 Justin Breshears: Okay, cool. I don’t think I’ve accessed either one of those tickets yet, so…
172 00:17:40.300 ⇒ 00:17:47.700 Justin Breshears: If, yeah, whenever y’all have, you know, something for me to review, if you can send it to me, and then I can take a look and get familiar with that.
173 00:17:48.340 ⇒ 00:17:50.460 Awaish Kumar: Are you, Amber, are you on Snowflag?
174 00:17:51.170 ⇒ 00:17:54.560 Amber Lin: I am, but I… But I…
175 00:17:54.950 ⇒ 00:18:00.229 Amber Lin: Actually, I don’t know if I am. I was on the ABC Snowflake, I don’t know if I’m on the…
176 00:18:00.230 ⇒ 00:18:04.109 Awaish Kumar: Only thing I wonder… I wonder that, because on Omni, you are not…
177 00:18:04.250 ⇒ 00:18:12.329 Awaish Kumar: I don’t know why, but we are not able to see, what, like, for example, if I click on a schema, I’m not able to see what tables are there.
178 00:18:12.660 ⇒ 00:18:13.180 Amber Lin: Oh…
179 00:18:13.180 ⇒ 00:18:19.269 Awaish Kumar: But that’s why, like, the image you showed me on, like, the screenshot in Slack.
180 00:18:19.540 ⇒ 00:18:30.040 Awaish Kumar: you were accessing something, and you were not… because that was not in there, right?
181 00:18:30.040 ⇒ 00:18:30.370 Amber Lin: Okay.
182 00:18:30.370 ⇒ 00:18:36.929 Awaish Kumar: through all that list. So, you have to go in, maybe, Snowflake and figure out, like, in this schema, we have these tables.
183 00:18:37.210 ⇒ 00:18:38.710 Awaish Kumar: Then you can access that in…
184 00:18:38.710 ⇒ 00:18:39.359 Amber Lin: Huh.
185 00:18:39.790 ⇒ 00:18:43.140 Awaish Kumar: It should be available only itself, but I don’t know why it’s…
186 00:18:43.140 ⇒ 00:18:52.849 Amber Lin: Yeah, I’ll… I grabbed a time tomorrow after Eden. I think I’ll try today, but I have a lot of meetings today, but after tomorrow, we’ll… we’ll go look at it together.
187 00:18:53.180 ⇒ 00:18:58.740 Awaish Kumar: look at it, and then I can also, in the meanwhile, maybe try to add a few things, a few more things.
188 00:18:59.220 ⇒ 00:18:59.860 Amber Lin: Okay.
189 00:19:00.010 ⇒ 00:19:10.390 Justin Breshears: Yeah, that’d be great. And then we just need to make sure that we’re storing the historical snapshots somewhere, you know, like, so, like, when we have this… When you say historical, do you mean…
190 00:19:10.390 ⇒ 00:19:14.880 Awaish Kumar: For example, -Oh.
191 00:19:15.210 ⇒ 00:19:17.969 Awaish Kumar: So there, there are two, two things.
192 00:19:18.620 ⇒ 00:19:28.040 Awaish Kumar: like, when we say historical, one thing is that we have, for example, clockify hours for each person, for each day.
193 00:19:28.160 ⇒ 00:19:31.540 Awaish Kumar: Since the start of… the person started working, right?
194 00:19:31.740 ⇒ 00:19:33.920 Awaish Kumar: That is history, that…
195 00:19:33.920 ⇒ 00:19:34.250 Justin Breshears: Yeah.
196 00:19:34.250 ⇒ 00:19:53.410 Awaish Kumar: I’ve… I mean, Shkumar started working on… from, 1st of January 2025, so I have all the logged hours of clockify from January, till today. So that’s one… one kind of history. Second is that we want to… do you want the snapshot of… of that history?
197 00:19:53.540 ⇒ 00:20:00.360 Awaish Kumar: for example, if I say, maybe in… I logged in in the… for the past month.
198 00:20:02.570 ⇒ 00:20:07.830 Awaish Kumar: I logged, like, yesterday… till yesterday, I logged hours which were not complete.
199 00:20:08.130 ⇒ 00:20:17.889 Awaish Kumar: But today, when I logged in, I saw, like, I didn’t log everything for September, and I tried added… adding, like, a few more hours for September.
200 00:20:19.180 ⇒ 00:20:21.390 Awaish Kumar: Today, as well, so not that…
201 00:20:21.640 ⇒ 00:20:28.470 Awaish Kumar: That changes, like, the… when I, like, that changes… when we look at, like.
202 00:20:28.650 ⇒ 00:20:41.979 Awaish Kumar: until yesterday, like, my hours for September were different, but today, like, I added 10 more hours. So do you want to see that, or do you want to just see how many hours are for each month, for each person, or whatever.
203 00:20:41.980 ⇒ 00:20:54.119 Justin Breshears: I want to see what it looks like at 8 AM PST every week, on Monday. Like, that’s… so, like, let’s say you and I were collaborating on a Google Doc, right? And we had an ongoing Google Doc together.
204 00:20:54.120 ⇒ 00:21:02.700 Justin Breshears: it’d be like if I took a PDF of that doc at 8 AM PST every Monday, and then saved that PDF somewhere. The doc continues to be edited.
205 00:21:02.700 ⇒ 00:21:09.189 Justin Breshears: past that or whatever, but I want, like, a snapshot of that dashboard every single Monday at that time, because
206 00:21:09.460 ⇒ 00:21:15.479 Justin Breshears: that’s… what I’m… what I’m going for is, like, we’re gonna use that dashboard to track on our OKRs.
207 00:21:15.730 ⇒ 00:21:34.250 Justin Breshears: So, I need to know how we’re tracking on those OKRs over time. So, like, let’s say we’re missing on our margin OKR. And, like, week over week, I want to see, like, improvement on that margin, you know? So I need to, like, know kind of that historical snapshot, week over week.
208 00:21:34.330 ⇒ 00:21:37.160 Justin Breshears: Oh, does that make sense? That’s kind of what I’m going for.
209 00:21:37.700 ⇒ 00:21:44.030 Awaish Kumar: Yeah, so… like… that is still, like, I see the…
210 00:21:45.560 ⇒ 00:22:00.120 Awaish Kumar: I’m more interested in figuring out, like, as you mentioned, like, at 8 AM PST, you want to take the data from database and build a report, and you want to… then at 8 AM, you want to take a…
211 00:22:00.280 ⇒ 00:22:06.079 Awaish Kumar: screenshot of the data, and then compare, like, how we did, on an OKR level, right?
212 00:22:06.080 ⇒ 00:22:07.040 Justin Breshears: Yeah.
213 00:22:07.310 ⇒ 00:22:08.130 Awaish Kumar: Yeah, that’s…
214 00:22:08.130 ⇒ 00:22:14.359 Justin Breshears: I want to see trends over time, like, are we improving on this, or are we not? And so that we can, we can see, like…
215 00:22:14.360 ⇒ 00:22:19.620 Awaish Kumar: My question now is, are you interested only in that week, or you wanna…
216 00:22:21.560 ⇒ 00:22:26.259 Awaish Kumar: See, like, beyond that week, like, you wanna…
217 00:22:26.500 ⇒ 00:22:29.919 Awaish Kumar: At the end of this week, you want to see the last week’s data as well.
218 00:22:30.490 ⇒ 00:22:38.420 Awaish Kumar: Like, if that changes, if somebody updates a few things, or you want to compare, like,
219 00:22:38.550 ⇒ 00:22:46.409 Awaish Kumar: for example, at the end of, like, at the start of this week, I have last week’s data, right? And,
220 00:22:47.160 ⇒ 00:22:58.439 Awaish Kumar: And you… and we… we measure okay everything based on that. And then in the next week, some… somebody updated, for example, someone didn’t log properly, and he logs again.
221 00:22:59.090 ⇒ 00:23:01.360 Awaish Kumar: And do you wanna compare, like.
222 00:23:01.510 ⇒ 00:23:14.229 Awaish Kumar: this is the snapshot of the PDF, which were based on the previously logged hours, and now snapshot of the OKRs of the same week, based on the new hours logged. Did you want to compare those as well?
223 00:23:16.970 ⇒ 00:23:18.340 Justin Breshears: It’s a good question.
224 00:23:21.200 ⇒ 00:23:36.829 Justin Breshears: I think I would, but I hope that we don’t have to, because what I want to get is that hours are logged by the 8am PST every Monday, right? And so… but I do think that I would want to view, like, the updated hours, yeah.
225 00:23:37.580 ⇒ 00:23:38.040 Awaish Kumar: Okay.
226 00:23:38.040 ⇒ 00:23:48.719 Justin Breshears: I still want that snapshot of what it looked like the previous week, but yeah, I think if I’m looking at the next week’s data, I do want to compare against, like, the revised data, so…
227 00:23:49.300 ⇒ 00:23:54.699 Samuel Roberts: Sorry, I’m, like, only half listening, so correct me hurl. Is there a way to do, like, a diff OH, where we see, like.
228 00:23:55.430 ⇒ 00:23:59.160 Samuel Roberts: This is what this week had been, this is what the week is currently.
229 00:24:01.150 ⇒ 00:24:02.299 Samuel Roberts: Anything like that?
230 00:24:05.970 ⇒ 00:24:12.770 Awaish Kumar: Yeah, that… that… that is possible. That comes with some obvious costs, like, we need to have more storage.
231 00:24:13.150 ⇒ 00:24:15.229 Awaish Kumar: We’re gonna… then we wanna store…
232 00:24:17.650 ⇒ 00:24:26.399 Awaish Kumar: snapshot of that week every day, so we know if somebody changes over time for the week of… first week of September.
233 00:24:26.650 ⇒ 00:24:33.470 Awaish Kumar: if somebody updates things, then we wanna… we are tracking that, and then I can say, okay.
234 00:24:33.610 ⇒ 00:24:38.890 Awaish Kumar: on this day, somebody made changes for that first week of September.
235 00:24:38.890 ⇒ 00:24:43.729 Justin Breshears: I don’t know if… I don’t know if we need it every single day, more just about once a week, yeah.
236 00:24:43.730 ⇒ 00:24:50.369 Samuel Roberts: Yeah, so I think weekly we want to get, like, what the current week was, and then, like, snapshot that at that moment, right?
237 00:24:50.370 ⇒ 00:24:53.640 Awaish Kumar: Yeah, but, like, if it… I know, like, what…
238 00:24:54.420 ⇒ 00:25:02.699 Awaish Kumar: like, from dashboarding view, what are the requirements on the back end, how it’s going to be implemented is that I have to maintain the full data.
239 00:25:05.130 ⇒ 00:25:06.070 Samuel Roberts: Hmm.
240 00:25:06.440 ⇒ 00:25:13.280 Samuel Roberts: Okay, so there’s not a way to… so, I guess I don’t know the way the data… is the data being constantly updated with the… the new…
241 00:25:13.630 ⇒ 00:25:17.019 Samuel Roberts: like, accurate quote-unquote numbers from Clockify every time.
242 00:25:17.800 ⇒ 00:25:24.369 Awaish Kumar: So, for example, like, let me give an example, like, for… for 29th of September.
243 00:25:24.890 ⇒ 00:25:28.800 Awaish Kumar: 10 of our employees locked their hours, right?
244 00:25:29.070 ⇒ 00:25:34.089 Awaish Kumar: And they said, I work on eating 5 hours, 3 hours, 2 hours, whatever.
245 00:25:34.760 ⇒ 00:25:38.880 Awaish Kumar: And then, same employees. Tomorrow, made some correction.
246 00:25:39.120 ⇒ 00:25:45.490 Awaish Kumar: And said, like, for example, I made a correction. I said… yesterday, I… I said, like, on 29th of…
247 00:25:45.730 ⇒ 00:25:59.019 Awaish Kumar: like, on 29th of September, I’ll… at the end of day today, I say I work 2 hours, but then tomorrow, I… I say, okay, yesterday I worked 3 hours and not 2. Let me make a correction. So normally, what… when we do
248 00:25:59.300 ⇒ 00:26:02.230 Awaish Kumar: What we are doing is we just replace that value.
249 00:26:02.440 ⇒ 00:26:03.430 Awaish Kumar: So…
250 00:26:03.600 ⇒ 00:26:13.670 Awaish Kumar: For 2, it just becomes 3, and you will only see that. Aishk Kumar, on this day, for 3 hours. Second thing is that I… I maintain that edit.
251 00:26:14.390 ⇒ 00:26:19.379 Awaish Kumar: I initially said 2, then I said 3, then I have to maintain that.
252 00:26:20.270 ⇒ 00:26:22.170 Samuel Roberts: Right, but I’m wondering if we can just do, like.
253 00:26:22.460 ⇒ 00:26:28.409 Samuel Roberts: like, say, you know, today, Monday, at 9am PST, Snapshot of the data.
254 00:26:30.300 ⇒ 00:26:34.579 Samuel Roberts: of the last week, and I guess whatever historically is in there, like…
255 00:26:34.930 ⇒ 00:26:41.420 Samuel Roberts: And next Monday, we would just see the updates that people made without knowing the details of every day they made changes.
256 00:26:41.860 ⇒ 00:26:46.750 Awaish Kumar: We are actually updating data every day, but we are just replacing, that’s my point.
257 00:26:46.750 ⇒ 00:26:57.040 Samuel Roberts: Right, right, I’m wondering if we can just take a snapshot every Monday, and keep a record of every Monday’s current, and then every week, whatever changes have been made, we’ll see that in the new snapshot.
258 00:26:57.040 ⇒ 00:27:03.030 Awaish Kumar: So yeah, that… that… is a different, like, then we have to maintain another layer of
259 00:27:03.370 ⇒ 00:27:09.330 Awaish Kumar: table, that where every Monday, we have a new pipeline which basically creates a…
260 00:27:09.440 ⇒ 00:27:13.199 Awaish Kumar: historical table, or snapshot table, some…
261 00:27:13.200 ⇒ 00:27:22.990 Samuel Roberts: So instead of a snapshot, then, is there a way to just do a, like, export of the, like, hours that they need, and then we can just keep log of that without having to store it in the database?
262 00:27:23.450 ⇒ 00:27:29.339 Awaish Kumar: Yeah, but we have to store it, like, for anything to go… if we want to see it, if we want to visualize it.
263 00:27:30.060 ⇒ 00:27:32.800 Awaish Kumar: The only better way is to keep it in the database.
264 00:27:33.720 ⇒ 00:27:37.539 Samuel Roberts: Okay, I see what you’re saying. I mean, Justin, what do you need at this point?
265 00:27:38.240 ⇒ 00:27:45.100 Samuel Roberts: Like, would just, like, an export report every Monday be good, and then we can just look at the difference? He wants to see the…
266 00:27:45.770 ⇒ 00:27:46.570 Justin Breshears: Yeah.
267 00:27:46.570 ⇒ 00:27:47.710 Awaish Kumar: For now, we just wanna…
268 00:27:47.710 ⇒ 00:27:53.000 Justin Breshears: That’s tough, because I don’t want to cause… I don’t want to cause us to have to, like, up our storage so much
269 00:27:53.600 ⇒ 00:28:05.069 Justin Breshears: Yes, so I see what y’all are saying, but at the same time, it would be helpful to be able to see, like, how we’re tracking over time on these OKRs, but
270 00:28:05.570 ⇒ 00:28:18.389 Justin Breshears: I thought it was more of just, like, a situation where we could take that export week over week, and then analyze the trends from that export, but if we’re having to, like, store historical data every single day or week…
271 00:28:18.980 ⇒ 00:28:27.359 Awaish Kumar: But I don’t think that’s the biggest problem. I was just understanding the effort it needs for us to handle that and maintain that.
272 00:28:27.700 ⇒ 00:28:28.440 Samuel Roberts: Thank you. Yeah.
273 00:28:28.740 ⇒ 00:28:33.609 Awaish Kumar: It’s just very, very, cheap. So we…
274 00:28:33.610 ⇒ 00:28:41.109 Justin Breshears: So if it’s not a huge deal, let’s do that, then. Like, I don’t… but I just don’t want to be making decisions that are costing the company a ton of money, so… Yeah, I’m good.
275 00:28:41.160 ⇒ 00:28:52.510 Awaish Kumar: I just want to understand the effort needed to do that, right? Yeah. And the storage is not that, like, costly, and we can obviously handle that.
276 00:28:52.900 ⇒ 00:28:54.110 Justin Breshears: Okay.
277 00:28:54.110 ⇒ 00:28:55.490 Samuel Roberts: Yeah, I think just.
278 00:28:55.490 ⇒ 00:28:57.790 Justin Breshears: That’s for it forever, yeah.
279 00:28:57.960 ⇒ 00:29:01.380 Justin Breshears: I don’t think we have to store it, like, forever or anything, like, maybe…
280 00:29:01.380 ⇒ 00:29:01.970 Samuel Roberts: prior to this.
281 00:29:02.790 ⇒ 00:29:10.900 Awaish Kumar: people up front, and just… relieve the historical data also. Yeah.
282 00:29:10.900 ⇒ 00:29:20.219 Samuel Roberts: Yeah, once we have, like, the OKRs for the whole quarter, like, we’ll keep track of how they went in somewhere else, maybe, and we have all that data, and then we wipe it, and we have to, like.
283 00:29:20.350 ⇒ 00:29:23.480 Samuel Roberts: Overall view of the quarter, probably, without the.
284 00:29:23.480 ⇒ 00:29:24.419 Justin Breshears: I… I agree.
285 00:29:25.140 ⇒ 00:29:44.729 Justin Breshears: I think that’s a good plan. Okay, sorry to hijack everything with that, but I think that’s going to really help us, when we have these meetings, because what I want to see out of these meetings, and what Tom wants to see out of these meetings, is, you know, tracking on, you know, the high-level, important stuff that, like, we’re measuring on, and OKRs being, like, the most important thing. We’re setting these OKRs.
286 00:29:44.840 ⇒ 00:29:57.600 Justin Breshears: you know, because those are the high-level things that we’re deeming are the most important, you know, business-critical things to keep a track of. So, I think it’s important to get this right, and be able to track it, and to not have to take up
287 00:29:57.790 ⇒ 00:30:14.969 Justin Breshears: our valuable time manually updating everything, because as I’ve seen in just the past few weeks that I’ve been with Brainforge, is we haven’t gotten it right once manually. Like, the numbers are not correct every single week, and so what I would rather have is this system that is, like, automating it.
288 00:30:15.200 ⇒ 00:30:31.249 Justin Breshears: we don’t have to spend a bunch of time on it, and the numbers are correct as of that moment. If you didn’t get your hours in, like, then that’s a… that’s another performance issue or conversation with that person, right? But as of that moment, like, these are the numbers, and that’s what we’re gonna roll with, so…
289 00:30:31.630 ⇒ 00:30:34.289 Justin Breshears: Amber, Rico, are y’all aligned on that?
290 00:30:38.290 ⇒ 00:30:42.989 Amber Lin: Yeah, I’m meeting with a wish tomorrow, so it should be good.
291 00:30:43.170 ⇒ 00:30:46.200 Justin Breshears: Cool. But, like, are you aligned with that conceptually? Like, do you…
292 00:30:46.200 ⇒ 00:30:47.110 Amber Lin: Yeah, yeah, that’s what…
293 00:30:47.110 ⇒ 00:30:47.650 Justin Breshears: Coach.
294 00:30:47.650 ⇒ 00:30:56.809 Amber Lin: That… I was working on a dashboard, just not ready, and we just deter… we just wanted to have it in Notion, so we haven’t been using the dashboards.
295 00:30:57.860 ⇒ 00:31:05.209 Justin Breshears: Yeah, which I understand, like, having it in Notion is nice, but, like, if it’s manual, I don’t… I don’t like it.
296 00:31:05.590 ⇒ 00:31:13.049 Justin Breshears: And I mean, I wish Utam was here to give sign-off on that, because I don’t, like I said, I don’t want to be making unilateral decisions here, but.
297 00:31:13.630 ⇒ 00:31:14.390 Awaish Kumar: No, there’s okay.
298 00:31:14.720 ⇒ 00:31:17.770 Justin Breshears: At the same time, I’ll run it by him, but I think he would be okay with that.
299 00:31:17.770 ⇒ 00:31:18.639 Awaish Kumar: I could…
300 00:31:20.180 ⇒ 00:31:22.450 Justin Breshears: Cool.
301 00:31:22.740 ⇒ 00:31:23.760 Justin Breshears: Alright.
302 00:31:23.760 ⇒ 00:31:30.260 Amber Lin: Let’s go into the report. I don’t know if he’s gonna join, but I think we should run through.
303 00:31:30.580 ⇒ 00:31:37.040 Justin Breshears: Yes. It’s our main OKR right here, and then we can talk about each project, how it’s going, and then if we should improve.
304 00:31:37.270 ⇒ 00:31:39.080 Amber Lin: How we can improve on them.
305 00:31:39.550 ⇒ 00:31:45.489 Amber Lin: So these are from the updated hours I got from Clockify just now.
306 00:31:45.820 ⇒ 00:31:54.389 Amber Lin: And then… just a quick look at these. So, this is our average project margin, which is a…
307 00:31:54.810 ⇒ 00:32:07.930 Amber Lin: a little bit above our goal. For this quarter, we want to do 40%, but I know coming up, we would like to do 50%, so we’re still relatively good on that OKR.
308 00:32:08.070 ⇒ 00:32:13.090 Amber Lin: And then… Our budget… let’s see…
309 00:32:13.420 ⇒ 00:32:16.090 Amber Lin: Ashley, I think what we want are…
310 00:32:16.230 ⇒ 00:32:21.829 Amber Lin: Overhead to be 40% of our revenue, which would be…
311 00:32:23.190 ⇒ 00:32:24.239 Awaish Kumar: How would we…
312 00:32:25.090 ⇒ 00:32:25.740 Amber Lin: Huh.
313 00:32:26.580 ⇒ 00:32:33.730 Awaish Kumar: Like, how we may or remove, like, isn’t that fixed? Fixed cost, like, fix, Client?
314 00:32:34.430 ⇒ 00:32:35.160 Justin Breshears: Yes.
315 00:32:37.440 ⇒ 00:32:41.449 Awaish Kumar: So, like, did we convert that into ours, and then,
316 00:32:43.180 ⇒ 00:32:46.450 Awaish Kumar: Get the revenue, like, $11,062 for…
317 00:32:46.630 ⇒ 00:33:01.740 Amber Lin: Yeah, so the revenue is weekly, so for ABC, say we have 6,500 per month, and we assume how many weeks in this month, and then we’ll get the weekly revenues, because we’re just looking back at the previous week.
318 00:33:03.010 ⇒ 00:33:03.800 Awaish Kumar: Okay.
319 00:33:03.800 ⇒ 00:33:04.350 Amber Lin: Yeah.
320 00:33:05.660 ⇒ 00:33:13.299 Amber Lin: And then for only the hourly one is the hours, hours times the hourly rate.
321 00:33:14.120 ⇒ 00:33:20.499 Amber Lin: And so our overhead budget is above our target.
322 00:33:20.810 ⇒ 00:33:26.579 Amber Lin: And then our company margin is at around 7.7%.
323 00:33:26.890 ⇒ 00:33:32.210 Amber Lin: So looking at individual projects… I think…
324 00:33:32.370 ⇒ 00:33:40.640 Amber Lin: main ones that’s under is ABC, Eden, and Interlude, and I think we should focus our…
325 00:33:40.830 ⇒ 00:33:42.909 Amber Lin: Talking points on those.
326 00:33:44.500 ⇒ 00:33:47.700 Amber Lin: Unless Insomnia’s still missing.
327 00:33:47.700 ⇒ 00:34:01.269 Justin Breshears: Yeah, and some… it’s… it is. It’s missing Shreya’s hours, so that one is not accurate, and that’s something, like, I’m trying to… to get fixed, and is why, like, I want everybody to be, you know, getting their hours in.
328 00:34:01.300 ⇒ 00:34:08.349 Justin Breshears: So it’s just Shreya’s hours that were missing on there, and I think she would log around 5, so…
329 00:34:08.620 ⇒ 00:34:12.939 Justin Breshears: Let’s… can we just update it to 11.7 and see what the numbers look like there?
330 00:34:13.370 ⇒ 00:34:16.190 Amber Lin: Oh, this is not a… this is not a field, I didn’t calculate.
331 00:34:16.199 ⇒ 00:34:16.579 Justin Breshears: bone.
332 00:34:16.580 ⇒ 00:34:17.190 Amber Lin: here.
333 00:34:17.420 ⇒ 00:34:19.590 Justin Breshears: No worries, never mind. We can do that offline, though.
334 00:34:20.120 ⇒ 00:34:20.650 Amber Lin: Yeah.
335 00:34:21.080 ⇒ 00:34:25.059 Amber Lin: So, I think on ABC,
336 00:34:25.540 ⇒ 00:34:35.720 Amber Lin: why the margins and billable rate is so low, because I think Sam is doing a lot of work on the transcripts, and…
337 00:34:35.840 ⇒ 00:34:44.319 Amber Lin: I think that’s… impacting our… margin and billable rate. Yeah.
338 00:34:44.880 ⇒ 00:34:45.440 Amber Lin: KCM.
339 00:34:45.790 ⇒ 00:34:53.289 Amber Lin: bus hours. And I was talking to Utam about this, about maybe Sam should be on hourly projects, but right now.
340 00:34:53.400 ⇒ 00:34:59.160 Amber Lin: Is there a way that somebody can do Sam’s work, or…
341 00:34:59.770 ⇒ 00:35:07.000 Amber Lin: Sam provide high-level guidance? Like, how… how can we help with the margins here?
342 00:35:07.000 ⇒ 00:35:09.740 Awaish Kumar: I want to understand, like, what Sam is doing.
343 00:35:09.970 ⇒ 00:35:14.960 Samuel Roberts: Yeah, I’m trying to get the transcripts out of the 8x8 API, I spent a while one day.
344 00:35:15.240 ⇒ 00:35:17.170 Samuel Roberts: With, with that last week.
345 00:35:17.170 ⇒ 00:35:24.309 Awaish Kumar: just getting that transcript data from those APIs, or is it more… are you using any kind of AI work on there?
346 00:35:24.690 ⇒ 00:35:29.239 Samuel Roberts: I’m just trying to figure out their API, it’s a little confusing. We had a call with 8x8,
347 00:35:29.390 ⇒ 00:35:34.409 Samuel Roberts: I’m just… I was stuck in a few spots, figured out a few things.
348 00:35:34.530 ⇒ 00:35:36.780 Samuel Roberts: Had to wait for that access and stuff.
349 00:35:37.020 ⇒ 00:35:40.939 Samuel Roberts: So yeah, I’ve been sinking a little more time into there than we probably…
350 00:35:41.190 ⇒ 00:35:53.979 Awaish Kumar: Okay, basically, then I… what I understand is, basically, the task is to… using that API, we want to get the transcripts data for each interaction, like voice call or video call.
351 00:35:54.220 ⇒ 00:35:59.669 Samuel Roberts: Yeah, yeah, effectively. I was trying to get them for, like, specific people to match them up with the Andy usage and stuff, so…
352 00:36:01.290 ⇒ 00:36:01.740 Awaish Kumar: Pardon?
353 00:36:01.740 ⇒ 00:36:06.680 Samuel Roberts: Yeah, I mean, I can pass that along to someone, and pass off what I know so far, if that’s… that’s helpful.
354 00:36:06.860 ⇒ 00:36:12.360 Samuel Roberts: I know that we’re also trying to get to that amount of interactions, right, with Andy?
355 00:36:12.750 ⇒ 00:36:14.090 Samuel Roberts: And that unlocks more.
356 00:36:14.090 ⇒ 00:36:23.709 Awaish Kumar: Yeah, if, Amber, that is only the task, and we are not using any AI agent on top of it yet, so I can handle… I can take one.
357 00:36:23.710 ⇒ 00:36:24.109 Samuel Roberts: Not yet.
358 00:36:24.930 ⇒ 00:36:33.939 Amber Lin: Yeah, I think it might be faster if you help with the DE part, and after it’s connected, we do have to run some AI queries and find some insights.
359 00:36:33.940 ⇒ 00:36:34.280 Samuel Roberts: Yeah.
360 00:36:34.500 ⇒ 00:36:39.450 Amber Lin: I want Sam to help on that step, but maybe for the DE task, we need to…
361 00:36:39.450 ⇒ 00:36:40.390 Samuel Roberts: Yep. Okay.
362 00:36:40.430 ⇒ 00:36:47.160 Amber Lin: Okay, so let me log that down… .
363 00:36:52.460 ⇒ 00:37:04.309 Awaish Kumar: Yeah, like, also for… for the next part, like, maybe, like, in the meantime, Sam can work on coming up with a plan or define architecture of…
364 00:37:04.440 ⇒ 00:37:05.660 Awaish Kumar: How…
365 00:37:05.830 ⇒ 00:37:14.680 Awaish Kumar: from the transcripts, how then we are going to use AI to bring some insights. Like, if we can come up with a plan, then we can maybe utilize
366 00:37:14.960 ⇒ 00:37:18.099 Awaish Kumar: Kc or Mustard to actually implement it.
367 00:37:29.960 ⇒ 00:37:36.140 Samuel Roberts: There’s some caveats with their data, where they were worried about there actually being some financial data in the, transcripts.
368 00:37:37.510 ⇒ 00:37:41.589 Samuel Roberts: And so, they had some… Requirements about, like.
369 00:37:42.560 ⇒ 00:37:47.069 Samuel Roberts: scanning for that, if we see it, they’re gonna provide us an endpoint to clear that transcript and everything.
370 00:37:47.730 ⇒ 00:37:49.009 Samuel Roberts: I can fill you in all.
371 00:37:49.850 ⇒ 00:37:57.700 Awaish Kumar: Like… Okay, so do you mean on their voice call transcripts, they may be talking about financials, and otherwise…
372 00:37:57.700 ⇒ 00:38:07.850 Samuel Roberts: Yeah, there’s some… they have some good catches, but sometimes things slip through, they said. So, like, there might be credit card information, things like that. And they wanted to just make sure before anything hit production.
373 00:38:08.040 ⇒ 00:38:10.019 Samuel Roberts: We had that sorted out.
374 00:38:10.020 ⇒ 00:38:11.409 Awaish Kumar: Similarly’s bad, right?
375 00:38:11.860 ⇒ 00:38:12.570 Samuel Roberts: I’m sorry?
376 00:38:13.380 ⇒ 00:38:20.140 Awaish Kumar: We want to basically anonymize any identification data for, like, PII data.
377 00:38:21.030 ⇒ 00:38:33.339 Samuel Roberts: Yeah, yeah, we just want… yeah, just… just the… just that data, not the, like… yeah, we want to get rid of… we want to kind of sift for whatever credit card and stuff, stuff might be in there. We don’t necessarily want to, like, anonymize the actual transcripts, but just the…
378 00:38:33.540 ⇒ 00:38:34.350 Samuel Roberts: Yeah.
379 00:38:35.240 ⇒ 00:38:36.550 Awaish Kumar: I’m assuming, no.
380 00:38:37.680 ⇒ 00:38:38.690 Amber Lin: Yeah, great.
381 00:38:38.840 ⇒ 00:38:48.720 Amber Lin: Even our margins are worse than the week before, the week before we were at 30, and just looking at ours here…
382 00:38:49.620 ⇒ 00:38:50.430 Amber Lin: Bink.
383 00:38:50.730 ⇒ 00:39:02.650 Amber Lin: Let’s see… Yeah, we wanted to aim for 60-ish, but…
384 00:39:02.650 ⇒ 00:39:06.300 Awaish Kumar: I came, like, I, I just woke…
385 00:39:06.610 ⇒ 00:39:12.330 Awaish Kumar: try to work on that a little bit more, like, Robert seems to be concerned, like.
386 00:39:12.670 ⇒ 00:39:24.390 Awaish Kumar: like, we are focusing a lot more on hours, and we should have some tangible value delivery as well. Like, not to focus on hours of…
387 00:39:27.490 ⇒ 00:39:37.379 Awaish Kumar: like, lots of things, like, which are basically… like, anything I… we do at a backend, sometimes it’s… it’s not visible for the client.
388 00:39:37.490 ⇒ 00:39:39.740 Awaish Kumar: to see… I mean…
389 00:39:39.770 ⇒ 00:39:54.339 Awaish Kumar: So, like, that’s why I’m, like, I’m sometimes pushing for Tableau work on Henry. It’s just that, because that’s kind of something visible, right? If they see a new, like, they can see, okay, something is delivered.
390 00:39:54.350 ⇒ 00:39:59.879 Awaish Kumar: if I just build a model in the backend, like, they don’t know, like, what I did, or if I even have… if I work or not.
391 00:40:03.480 ⇒ 00:40:04.330 Amber Lin: Yeah.
392 00:40:06.300 ⇒ 00:40:12.080 Justin Breshears: So, let me just move this… we got a few topics that we really need to get to on this call, I think…
393 00:40:12.260 ⇒ 00:40:21.600 Justin Breshears: like, it’s helpful to kind of see where we’re at today. The margin, we know, like, which projects need to be improved. The individual PMs of those projects can
394 00:40:21.950 ⇒ 00:40:25.519 Justin Breshears: Take that and do, like, the tactical discussions and stuff.
395 00:40:25.650 ⇒ 00:40:27.920 Justin Breshears: You know, elsewhere from here.
396 00:40:27.920 ⇒ 00:40:30.529 Awaish Kumar: I think, maybe we… we…
397 00:40:30.660 ⇒ 00:40:36.400 Awaish Kumar: I think reducing more hours is, can be…
398 00:40:37.610 ⇒ 00:40:55.639 Awaish Kumar: like, can affect our performance. What I would say is that we should come up with a plan. Maybe we become more cautious about what, like, really complex challenges we are solving for the client, and start to note them down.
399 00:40:55.740 ⇒ 00:40:58.109 Awaish Kumar: And make a case for upsell.
400 00:40:58.280 ⇒ 00:41:03.200 Awaish Kumar: And maybe bring… and that way, we should improve our margin, instead of reducing.
401 00:41:03.200 ⇒ 00:41:03.580 Justin Breshears: zip.
402 00:41:04.430 ⇒ 00:41:12.960 Justin Breshears: Yep, those are the conversations that’ll happen on a, like, project-by-project basis with this stuff as we’re tracking it, so those are good conversations to have and take.
403 00:41:13.240 ⇒ 00:41:18.259 Justin Breshears: Out of this meeting, you know, and then follow up with the individual project teams.
404 00:41:18.870 ⇒ 00:41:29.470 Justin Breshears: But yeah, that’s why… that’s why we need to start looking at this stuff exactly for that reason. Hey, do we need to upsell? Do we need to, you know, negotiate more… more revenue in the next contract? Things like that.
405 00:41:29.980 ⇒ 00:41:33.040 Justin Breshears: So… It’s good stuff. Let’s…
406 00:41:33.380 ⇒ 00:41:48.520 Justin Breshears: move ahead, because I think… and we can, again, just take the tickets groomed and completion rate as a snapshot for now, and then compare it week over week, but we don’t… like, we need to move on to some different topics that, Utam wanted covered today.
407 00:41:48.690 ⇒ 00:41:49.180 Amber Lin: Okay.
408 00:41:49.180 ⇒ 00:41:52.230 Justin Breshears: The big one is on capacity, so…
409 00:41:52.710 ⇒ 00:41:59.129 Justin Breshears: We have quite a few clients in the pipeline about to sign, which is awesome. Woohoo! But the problem with
410 00:41:59.330 ⇒ 00:42:08.790 Justin Breshears: in a service delivery company, where you have more clients, you need to make sure that you’re focusing on capacity for people, right? So…
411 00:42:08.840 ⇒ 00:42:19.429 Justin Breshears: That’s one of the things that we need to discuss, is especially the available time that we have from you two, Oasis and Sam, what kind of availability do y’all have?
412 00:42:19.630 ⇒ 00:42:33.000 Justin Breshears: But then also Henry and Zoran, because those are the, like, skill sets and areas where, like, we may need to think about bringing on additional people if they don’t have a lot of availability.
413 00:42:33.860 ⇒ 00:42:38.590 Justin Breshears: So, let’s start with y’all. Awish, Sam, what is… what does y’all’s bandwidth look like?
414 00:42:38.750 ⇒ 00:42:41.540 Awaish Kumar: By, like, availability, I’m…
415 00:42:42.220 ⇒ 00:42:48.120 Awaish Kumar: Like, I’m already, like, kind of full-time working here for, like, 40 hours per week, if that you mean.
416 00:42:48.140 ⇒ 00:42:54.839 Justin Breshears: Yeah, like, I need to know, like, how much more bandwidth you have, like, to take anything additional on.
417 00:42:56.660 ⇒ 00:42:57.440 Awaish Kumar: Yeah.
418 00:42:57.850 ⇒ 00:43:00.789 Awaish Kumar: Right now, I’m working, like, at 20 hours per week.
419 00:43:01.040 ⇒ 00:43:08.220 Awaish Kumar: airbrain fortune, kind of full-time, and yeah, I won’t mind if I…
420 00:43:08.770 ⇒ 00:43:10.420 Awaish Kumar: If I had to work, what…
421 00:43:10.750 ⇒ 00:43:23.709 Awaish Kumar: like, extra hours as well. Secondly, yeah, if you want to ask about time zone, like, I normally now working on EST time zone to just align with
422 00:43:24.830 ⇒ 00:43:26.330 Awaish Kumar: Something like that.
423 00:43:26.330 ⇒ 00:43:30.219 Justin Breshears: So you’re pretty much maxed out, though, like, as far as what you have.
424 00:43:30.330 ⇒ 00:43:31.419 Justin Breshears: on your plate.
425 00:43:31.610 ⇒ 00:43:32.230 Awaish Kumar: Yup.
426 00:43:32.490 ⇒ 00:43:33.910 Justin Breshears: Okay, Sam, what about you?
427 00:43:34.420 ⇒ 00:43:39.580 Samuel Roberts: Yeah, if I’m passing off the ABC transcript stuff, that’s been a little bit of a sink.
428 00:43:39.700 ⇒ 00:43:42.749 Samuel Roberts: But… I’ll have a lot more capacity then.
429 00:43:43.640 ⇒ 00:43:51.140 Samuel Roberts: I’m kind of working more… ABC and Interlude, I’m much more involved in, but if I’m pulling… if I’m just directing a little bit more, that frees me up to…
430 00:43:51.800 ⇒ 00:43:52.210 Awaish Kumar: Goodbye.
431 00:43:52.210 ⇒ 00:43:57.070 Samuel Roberts: advise on other things, so I’ve been trying to stay up-to-date on default and, insomnia as well, but…
432 00:43:57.280 ⇒ 00:43:58.540 Samuel Roberts: I’m just kind of…
433 00:43:58.910 ⇒ 00:44:03.400 Samuel Roberts: If I’m not doing the nitty-gritty of the ABC transfer stuff, that frees up a lot more time.
434 00:44:03.880 ⇒ 00:44:09.699 Justin Breshears: Nice. That kind of aligns with, like, what we’ve seen. So, Utom sent over a couple of things that he would like…
435 00:44:10.260 ⇒ 00:44:13.039 Justin Breshears: Your input on…
436 00:44:13.730 ⇒ 00:44:15.239 Awaish Kumar: In that order.
437 00:44:15.420 ⇒ 00:44:20.480 Justin Breshears: Said, working directly with sales on creating case studies and improving our go-to-market.
438 00:44:20.740 ⇒ 00:44:26.810 Justin Breshears: being top priority, and then improving, which I guess it’s caught on before… It’s caught on, apparently, yeah.
439 00:44:26.810 ⇒ 00:44:44.000 Justin Breshears: I was kind of, like, half-kidding when I said that, but I’m like, I like it. Okay. So, improving the forge to, like, support, you know, PMs and stuff, which, you and I can meet about and collab on. Yes, definitely. We have some ideas, but that’s some things that Utom would love to…
440 00:44:44.120 ⇒ 00:44:45.540 Justin Breshears: Focus you on.
441 00:44:46.230 ⇒ 00:44:47.090 Justin Breshears: What’s that?
442 00:44:47.090 ⇒ 00:44:47.600 Samuel Roberts: Can you do that?
443 00:44:47.600 ⇒ 00:44:48.550 Justin Breshears: What time do you have?
444 00:44:49.150 ⇒ 00:44:49.770 Justin Breshears: Cool.
445 00:44:50.380 ⇒ 00:44:50.960 Justin Breshears: Huh.
446 00:44:51.490 ⇒ 00:44:53.550 Awaish Kumar: What… what is the force?
447 00:44:54.270 ⇒ 00:44:56.239 Justin Breshears: That’s our intel platform.
448 00:44:56.670 ⇒ 00:44:57.910 Justin Breshears: Hey.
449 00:44:58.090 ⇒ 00:44:58.680 Awaish Kumar: Are we going?
450 00:44:58.680 ⇒ 00:45:00.020 Samuel Roberts: Where the meetings are and stuff.
451 00:45:00.020 ⇒ 00:45:08.620 Justin Breshears: I was joking, and I put in the random channel the other day, I was like, we should call it The Forge, and now people have started calling it The Forge, so…
452 00:45:08.620 ⇒ 00:45:09.250 Awaish Kumar: I think…
453 00:45:09.250 ⇒ 00:45:11.119 Justin Breshears: It’s just caught on.
454 00:45:13.130 ⇒ 00:45:20.020 Samuel Roberts: It’s still platform.forge.ai, but we’re kind of calling it the forge internally, so it sounds a little… Lesson.
455 00:45:20.020 ⇒ 00:45:25.059 Justin Breshears: I was just saying, like, the platform, the platform, and I was like, what are they talking about? So, anyway.
456 00:45:25.520 ⇒ 00:45:26.620 Samuel Roberts: That was good, I like it.
457 00:45:28.300 ⇒ 00:45:42.440 Justin Breshears: Okay, so then the other two that we need to focus on is Henry and Zoron, because I have some work for Zoran on Insomnia, if he has availability, so do either of y’all have insight into their availability right now?
458 00:45:43.610 ⇒ 00:45:49.169 Amber Lin: So… Zoran spends, I think, about…
459 00:45:50.020 ⇒ 00:46:07.800 Amber Lin: 13, 14 hours on Eden each week, and then Ellie coming up, it should also take about, say, max 15 hours, so I think if he were to come on full-time or work at 40 hours capacity, he would still have 10 hours-ish?
460 00:46:08.030 ⇒ 00:46:18.599 Amber Lin: left, but we need to check with Zoran. He’s not an employee, so he works on his terms, and we’ll need to check when he’s available.
461 00:46:20.140 ⇒ 00:46:25.449 Justin Breshears: Okay, so we don’t have, like, a full-time agreement with him right now, it’s kind of just, like, a part-time… okay.
462 00:46:25.800 ⇒ 00:46:28.150 Justin Breshears: I think that’s what we need to know, cause, like.
463 00:46:28.360 ⇒ 00:46:31.950 Justin Breshears: I think we want to, like, increase his.
464 00:46:31.950 ⇒ 00:46:33.730 Amber Lin: Utilization, if…
465 00:46:33.730 ⇒ 00:46:37.330 Justin Breshears: If he’s cool with it. So I think…
466 00:46:37.660 ⇒ 00:46:41.930 Justin Breshears: How… how’s that process done historically? Like, how do we…
467 00:46:42.240 ⇒ 00:46:43.260 Amber Lin: Historically…
468 00:46:43.260 ⇒ 00:46:44.030 Justin Breshears: conversations.
469 00:46:44.030 ⇒ 00:46:48.300 Amber Lin: Utam talks with him, or Robert, depending on who…
470 00:46:48.510 ⇒ 00:46:52.330 Amber Lin: Was the main, like, manager or recruitment?
471 00:46:53.150 ⇒ 00:46:53.670 Justin Breshears: Okay.
472 00:46:53.670 ⇒ 00:46:55.609 Amber Lin: But I think still we can…
473 00:46:56.260 ⇒ 00:47:06.269 Amber Lin: I think you can also just message him. Like, if you can put him in a channel, in the chat with Utam in there, and just ask, hey Zoran, what’s your…
474 00:47:06.620 ⇒ 00:47:08.900 Amber Lin: Do you have availability for…
475 00:47:10.090 ⇒ 00:47:11.279 Justin Breshears: Why would heck?
476 00:47:11.280 ⇒ 00:47:11.980 Amber Lin: Yeah.
477 00:47:13.370 ⇒ 00:47:16.759 Justin Breshears: What about Henry? Do we know Henry’s situation?
478 00:47:16.760 ⇒ 00:47:23.639 Amber Lin: Henry’s on Eden and Default, so Henry on Eden, he spends…
479 00:47:24.030 ⇒ 00:47:33.589 Amber Lin: Around 30 hours, now that all the dashboarding work is on him, I would say 25 to 30 hours, and on default, I believe he spends, like.
480 00:47:33.970 ⇒ 00:47:36.510 Amber Lin: 10-ish? Let me check.
481 00:47:37.420 ⇒ 00:47:37.840 Justin Breshears: Nice.
482 00:47:37.840 ⇒ 00:47:38.419 Amber Lin: We don’t know.
483 00:47:38.420 ⇒ 00:47:39.980 Justin Breshears: already maxed out.
484 00:47:39.980 ⇒ 00:47:42.399 Amber Lin: Yeah, I don’t know about his default hours.
485 00:47:42.590 ⇒ 00:47:51.329 Amber Lin: On default says he spent… oh, last week says he spent an hour. Seems like default didn’t have that much work.
486 00:47:51.330 ⇒ 00:47:55.369 Justin Breshears: Oh yeah, no, his work on default has been paused, so…
487 00:47:55.370 ⇒ 00:48:00.910 Amber Lin: Oh, then he only has… then he only has Eden, then he would have a balance.
488 00:48:01.010 ⇒ 00:48:02.350 Amber Lin: 10 hours.
489 00:48:02.350 ⇒ 00:48:05.130 Justin Breshears: Okay, so 10 hours from both left.
490 00:48:05.750 ⇒ 00:48:08.589 Justin Breshears: If Zoran would be cooled going full-time.
491 00:48:08.750 ⇒ 00:48:09.340 Amber Lin: Yeah.
492 00:48:09.550 ⇒ 00:48:17.709 Justin Breshears: Okay, cool, that’s helpful. I’ll let him know, and then we’ll see if we can get that staffed. Basically, we’re just trying to figure out if we need to go recruiting or not.
493 00:48:18.540 ⇒ 00:48:19.439 Justin Breshears: What’s up.
494 00:48:20.310 ⇒ 00:48:25.990 Awaish Kumar: Yeah, my question was, where else, like, we are looking Like, they’re looking to…
495 00:48:26.310 ⇒ 00:48:28.839 Justin Breshears: Yeah, so he said,
496 00:48:29.880 ⇒ 00:48:36.389 Justin Breshears: We’ll probably also need another analytics engineer, because we want to get UTAM untangled from Urban Stems.
497 00:48:37.560 ⇒ 00:48:39.870 Awaish Kumar: Okay, and how much is he spending on that?
498 00:48:40.500 ⇒ 00:48:42.539 Justin Breshears: I don’t know at this time, but I can…
499 00:48:42.540 ⇒ 00:48:48.080 Amber Lin: So, Urban Stems, last week, he logged, I think, 3 hours?
500 00:48:48.230 ⇒ 00:48:54.180 Amber Lin: Yeah, he vlogged, like, 3.5, so he spends usually, like, 5…
501 00:48:54.180 ⇒ 00:48:56.110 Awaish Kumar: It doesn’t take on, it was just, like…
502 00:48:56.420 ⇒ 00:48:59.939 Awaish Kumar: 5 to 10 hours… 5 hours, 6 hours, like, something.
503 00:49:00.530 ⇒ 00:49:01.140 Justin Breshears: Okay.
504 00:49:02.190 ⇒ 00:49:08.650 Justin Breshears: Okay, maybe have that conversation with him then, because yeah, I think the idea will be to get Utah Rober out on delivery.
505 00:49:08.650 ⇒ 00:49:15.170 Awaish Kumar: On Eden, like, similarly, if I’m just tech-leading and working on, really working on only a few things.
506 00:49:15.630 ⇒ 00:49:25.560 Awaish Kumar: right now, already… I already, like, even started working more onion, but if, like, if we had same situation for Abraham, that you might… we… I’m gonna…
507 00:49:25.810 ⇒ 00:49:30.210 Awaish Kumar: I just wanna maybe see tech lead, or work for, like.
508 00:49:30.590 ⇒ 00:49:34.670 Awaish Kumar: Maybe it’s less than 10 hours, that… that could be possible.
509 00:49:35.340 ⇒ 00:49:36.030 Justin Breshears: Okay.
510 00:49:36.490 ⇒ 00:49:37.280 Justin Breshears: Cool.
511 00:49:37.400 ⇒ 00:49:52.110 Justin Breshears: I’ll let them know, and we’ll get some decisions made on that, because yeah, again, we want… we want to get Utam and Robert out of delivery, for the sole purpose, like, we want them to be able to focus on bringing in new business for us, and growing the business overall, so…
512 00:49:52.110 ⇒ 00:50:04.789 Awaish Kumar: That just max out, data team’s capacity. Right now, only on analytics engineering side, we only have Damilade and, and me.
513 00:50:05.020 ⇒ 00:50:08.090 Awaish Kumar: On DE side, we only have Utam and me.
514 00:50:08.330 ⇒ 00:50:19.110 Awaish Kumar: So, like, if I also work on organ systems, that, like, maxes our capacity for data analytics side.
515 00:50:19.440 ⇒ 00:50:20.500 Justin Breshears: Okay, cool.
516 00:50:20.650 ⇒ 00:50:23.620 Justin Breshears: Perfect timing, Tom. We got some answers for you on what.
517 00:50:23.620 ⇒ 00:50:25.000 Uttam Kumaran: Okay, great, lay it on me.
518 00:50:25.000 ⇒ 00:50:38.229 Justin Breshears: So, it looks like we have to have a conversation with Zoran about if he’s wanting to come on full-time with us, but if he is, he has about 10 hours of availability.
519 00:50:38.520 ⇒ 00:50:40.910 Justin Breshears: If he were to go to 40 a week.
520 00:50:41.100 ⇒ 00:50:42.070 Justin Breshears: Okay.
521 00:50:42.300 ⇒ 00:50:49.420 Justin Breshears: Henry also has about 10 hours availability, because he is paused on default right now.
522 00:50:50.310 ⇒ 00:50:56.599 Justin Breshears: Per the conversation we had with Kalen. So, he’s got about 10 hours as well.
523 00:50:56.940 ⇒ 00:51:07.880 Justin Breshears: away, she’s pretty much maxed out, but has also volunteered to take over for you on Urban Stems, so I don’t know if we want to do that, or if we want to look at…
524 00:51:08.460 ⇒ 00:51:13.160 Awaish Kumar: Yeah, if customer… like, if customer I.O. is… I don’t know if they are coming or not.
525 00:51:14.100 ⇒ 00:51:23.689 Uttam Kumaran: Yeah, so let’s, okay, so let’s walk through one by one. So for Zoran, I’m gonna… I’ll just send a message to him right now, being like, do you have 10 more hours for us?
526 00:51:24.420 ⇒ 00:51:32.439 Uttam Kumaran: And let’s just see what he says. The second piece on Henry, so you mentioned that he… he does have open availability?
527 00:51:32.740 ⇒ 00:51:33.680 Justin Breshears: Okay.
528 00:51:33.680 ⇒ 00:51:34.310 Uttam Kumaran: So similar.
529 00:51:34.310 ⇒ 00:51:37.100 Justin Breshears: Which one is he on Eden, Amber?
530 00:51:37.100 ⇒ 00:51:41.260 Amber Lin: He’s on Eden, yeah, he’s on Eden and default, but default’s paused.
531 00:51:41.260 ⇒ 00:51:41.740 Justin Breshears: Yep.
532 00:51:41.740 ⇒ 00:51:42.500 Uttam Kumaran: Okay, cool.
533 00:51:42.500 ⇒ 00:51:44.190 Justin Breshears: 30 hours to eat in right now is all he’s got.
534 00:51:44.190 ⇒ 00:51:46.489 Uttam Kumaran: So we are having a,
535 00:51:46.770 ⇒ 00:51:54.970 Uttam Kumaran: Robert and I are having a conversation with him tomorrow on contract, so I will see if I can get those hours for y’all.
536 00:51:55.270 ⇒ 00:51:58.839 Uttam Kumaran: On urban stems.
537 00:51:59.310 ⇒ 00:52:07.350 Uttam Kumaran: So I guess, Awash, tell me, so… so you are at capacity with the expectation that I customers coming in, or without?
538 00:52:09.220 ⇒ 00:52:10.630 Awaish Kumar: Like…
539 00:52:16.290 ⇒ 00:52:26.269 Awaish Kumar: like, with… I would say without, because sometimes stuff comes, like, for example, on Insomnia, ABC, sometimes stuff is…
540 00:52:26.370 ⇒ 00:52:39.050 Awaish Kumar: is not that much there. In one week, I… I just have to maybe look in the meetings or give my suggestions, which sometimes involve more, so I don’t know if… how should I measure that?
541 00:52:39.410 ⇒ 00:52:45.800 Awaish Kumar: If I just say 5-7 hours for each client, Then, unlike capacity.
542 00:52:45.800 ⇒ 00:52:50.220 Uttam Kumaran: I mean, this is where it’s like, yeah, I guess there’s two pieces. One is, like, the debate is…
543 00:52:51.920 ⇒ 00:52:57.980 Uttam Kumaran: I would say if you have availability, your time is better served on clients than my time.
544 00:52:58.130 ⇒ 00:53:02.189 Uttam Kumaran: Because I have to go get us… I’ve got to do a bunch of other stuff.
545 00:53:02.340 ⇒ 00:53:18.739 Uttam Kumaran: And I would say, from my perspective, I am not doing the best job on Urban STEM, so there is definitely, like, going to be client risk by me being there. I think that’s fair to assume any client hours that I have comes with that discount factor, right? Like.
546 00:53:19.210 ⇒ 00:53:31.539 Uttam Kumaran: that… I’ll say that out loud. So, for me, I think the debate is, one, if you’re already on 40 hours before then, then I think we need to assume… we need to consider, like.
547 00:53:31.650 ⇒ 00:53:38.600 Uttam Kumaran: Are you, like… Do you think you can add to your… to your capacity, or is there a work.
548 00:53:39.100 ⇒ 00:53:40.910 Awaish Kumar: That we should hand off.
549 00:53:41.050 ⇒ 00:53:57.119 Uttam Kumaran: to one of the other folks with time, right? So again, we have Zoran with 10 hours, Henry with 10 hours. I don’t know… I know Sam’s on the call, but if Sam has extra time, there’s… right, there’s at least 20 hours of availability of engineering time. I know that’s not…
550 00:53:57.470 ⇒ 00:54:05.339 Uttam Kumaran: their specific roles and capabilities, but I would say that’s probably how it would… which is, if you don’t have extra capacity.
551 00:54:06.210 ⇒ 00:54:12.680 Uttam Kumaran: I would vote for you to take on Urban Stems, and then for you to look at your work, and to look at the least
552 00:54:13.310 ⇒ 00:54:18.460 Uttam Kumaran: like, the easiest stuff, and I will go find someone to backfill that, or we backfill.
553 00:54:18.570 ⇒ 00:54:21.549 Uttam Kumaran: Right, so if… let’s just separate those two decisions out.
554 00:54:21.670 ⇒ 00:54:24.420 Uttam Kumaran: My vote would be… yeah, go ahead.
555 00:54:24.970 ⇒ 00:54:31.679 Awaish Kumar: What I’m saying is that I can take on Urban Stems, but if CIO is coming, that.
556 00:54:31.950 ⇒ 00:54:34.739 Uttam Kumaran: I wouldn’t worry about any non-sold deals.
557 00:54:35.450 ⇒ 00:54:35.840 Justin Breshears: Yeah.
558 00:54:36.120 ⇒ 00:54:47.240 Uttam Kumaran: I haven’t gone through… I haven’t yet… sales has not yet given delivery the time to figure out allocation. So I would not… yeah, I would not consider it.
559 00:54:47.280 ⇒ 00:54:48.549 Justin Breshears: I like that one, thank you.
560 00:54:48.550 ⇒ 00:54:54.480 Awaish Kumar: In that case, like, Amber said, you only log 3 hours, so if it is less than 10 hours, or…
561 00:54:54.720 ⇒ 00:54:56.449 Awaish Kumar: I can handle that.
562 00:54:57.940 ⇒ 00:54:58.670 Uttam Kumaran: Okay.
563 00:54:58.690 ⇒ 00:55:04.590 Amber Lin: Yeah, I also want to point out that Demoda might have a little bit more hours, so I think…
564 00:55:05.010 ⇒ 00:55:24.519 Amber Lin: he’s allocated 20 on Urban Stems, but usually, I think on Eden and Urban Stems, he spends about 15 each. I know there’s also time for internal work, but there might be, say, like, 5 hours, if you want him on another project, or if you want him to spend more time.
565 00:55:26.790 ⇒ 00:55:27.310 Justin Breshears: So…
566 00:55:27.310 ⇒ 00:55:29.290 Uttam Kumaran: This is where… yeah, go ahead, Justin.
567 00:55:29.590 ⇒ 00:55:47.030 Justin Breshears: I was gonna say, because we had a long conversation about, like, a dashboard for this meeting that could make all of this way easier, so they’re gonna work on that. Can we add to that dashboard everybody’s capacity in allocation so that we can have these, like, right in front of us when we have these conversations? Because
568 00:55:47.230 ⇒ 00:55:57.510 Justin Breshears: yeah, like, right now, I feel like I have zero visibility into, like, who’s allocated where, so I think that would be helpful. So, one of the things we talked about was
569 00:55:58.100 ⇒ 00:56:05.289 Justin Breshears: like, a dashboard with the OKRs and the reporting on that. So, like, margin, hours, you know, tickets.
570 00:56:05.600 ⇒ 00:56:08.759 Justin Breshears: all of that stuff. But yeah, if we can add, like.
571 00:56:09.240 ⇒ 00:56:12.199 Justin Breshears: Capacity of that as well, to help in these conversations.
572 00:56:13.000 ⇒ 00:56:26.359 Uttam Kumaran: Yeah, it’s also a way to, like, look, if I can get the client work, I can go build all that stuff for us. Like, I would… I’ll just go build those internal dashboards for us. That’s… that’s a great use of my time, because I have to go do that anyways for a lot of other stuff. I would rather…
573 00:56:26.470 ⇒ 00:56:34.189 Uttam Kumaran: the client work is really what we can’t risk, so I think let’s start with the first decision, which I would vote to…
574 00:56:34.540 ⇒ 00:56:37.699 Uttam Kumaran: have a way to kind of fill in for me on urban stems.
575 00:56:38.050 ⇒ 00:56:38.650 Justin Breshears: Yeah.
576 00:56:38.650 ⇒ 00:56:45.670 Uttam Kumaran: I don’t think this is, like, a super harsh transition. I also think it’s… the work isn’t, like… there is some pretty significant modeling work.
577 00:56:45.800 ⇒ 00:56:48.320 Uttam Kumaran: But I also think the client would definitely
578 00:56:49.050 ⇒ 00:56:53.050 Uttam Kumaran: Appreciate that. It’ll help a lot more, especially as we’re going into renewal.
579 00:56:53.420 ⇒ 00:57:00.840 Justin Breshears: Let me ask you, is… if we get you off of Urban Stems, are we close to getting you off of all client work?
580 00:57:01.960 ⇒ 00:57:02.619 Justin Breshears: Or what other.
581 00:57:02.620 ⇒ 00:57:06.200 Uttam Kumaran: Let me look at my… yeah, let me look at my schedule.
582 00:57:06.620 ⇒ 00:57:09.000 Uttam Kumaran: Just, like, looking at my calendar.
583 00:57:09.450 ⇒ 00:57:17.880 Justin Breshears: Because I know you have, like, account manager or manager-type duties with default, but you’re not doing any kind of, like, heads-down, hands-on keyboard work there, are you?
584 00:57:18.250 ⇒ 00:57:23.800 Uttam Kumaran: Yeah, I would say I’m still playing, like… For example, on the existing…
585 00:57:24.020 ⇒ 00:57:28.229 Uttam Kumaran: vendor enrichment piece, I’m still sort of playing tech lead.
586 00:57:28.490 ⇒ 00:57:35.319 Uttam Kumaran: on, like, what is it we need to do here. So, I would say I’m still playing Tech Lead on default.
587 00:57:35.430 ⇒ 00:57:43.270 Uttam Kumaran: And I’m… I would say, for the most part now, Sam, you’re handling Interlude, which is great.
588 00:57:43.310 ⇒ 00:57:45.040 Samuel Roberts: And…
589 00:57:45.140 ⇒ 00:57:47.919 Justin Breshears: Yeah, I feel like we’re good on Interlude.
590 00:57:48.100 ⇒ 00:57:57.159 Uttam Kumaran: Okay, cool. That’s great. So, I feel like… That’s mostly it.
591 00:57:57.400 ⇒ 00:58:05.119 Uttam Kumaran: And, like, again, the… I don’t really mind TechLead on default, we just… I don’t think we have the internal, like.
592 00:58:05.790 ⇒ 00:58:10.339 Uttam Kumaran: The internal capabilities for that right now, so it’s not like…
593 00:58:10.340 ⇒ 00:58:13.740 Justin Breshears: I was gonna say, I don’t see a path forward to getting you off of that one right there.
594 00:58:13.740 ⇒ 00:58:19.430 Uttam Kumaran: Yeah, it’s also very little of my time, and it is all billable at $2.50, so it’s, like, fine.
595 00:58:21.010 ⇒ 00:58:22.719 Justin Breshears: That’s a good setup for that one.
596 00:58:25.760 ⇒ 00:58:30.000 Justin Breshears: Okay, so if we get you off early stems, we’re almost pretty much there.
597 00:58:30.890 ⇒ 00:58:34.029 Uttam Kumaran: we’re almost pretty much there. I think where…
598 00:58:34.810 ⇒ 00:58:43.330 Uttam Kumaran: The risk lies is a little bit in, like… Ellie Insomnia,
599 00:58:44.990 ⇒ 00:58:54.190 Uttam Kumaran: But yeah, I’m just like, yeah, that’s… that’s where, like, if those two… I know we’re having analyst conversation, like, if those two need help, I would fill in there next.
600 00:58:54.510 ⇒ 00:58:56.890 Uttam Kumaran: But I would rather that be a separate thing.
601 00:58:57.270 ⇒ 00:59:00.049 Uttam Kumaran: But yeah, otherwise, I’m kind of out, basically.
602 00:59:00.620 ⇒ 00:59:01.240 Justin Breshears: Cool.
603 00:59:02.230 ⇒ 00:59:04.630 Awaish Kumar: Because of that, we are in a default.
604 00:59:05.950 ⇒ 00:59:14.330 Uttam Kumaran: For default, I’m basically, like… like, we just… we have this new work stream where we’re… we’re… it’s actually… you could… I mean, I wish, I think you could totally, like.
605 00:59:14.570 ⇒ 00:59:19.890 Uttam Kumaran: do it. It’s, again, it’s just that we just don’t have extra tech lead… data tech lead capacity right now.
606 00:59:20.080 ⇒ 00:59:20.479 Justin Breshears: You know.
607 00:59:20.860 ⇒ 00:59:22.529 Justin Breshears: And you have that relationship.
608 00:59:22.660 ⇒ 00:59:23.220 Justin Breshears: Duhm.
609 00:59:23.220 ⇒ 00:59:24.820 Uttam Kumaran: Yeah, and it’s a… it’s…
610 00:59:24.820 ⇒ 00:59:25.700 Justin Breshears: replace.
611 00:59:26.440 ⇒ 00:59:27.170 Uttam Kumaran: Yes.
612 00:59:28.440 ⇒ 00:59:39.980 Uttam Kumaran: So yeah, I would vote for that, and we could do a pretty significant handoff this week, Awash, if you’re good with that. And then I actually… I think this team can hold me accountable for the internal dashboards.
613 00:59:40.180 ⇒ 00:59:46.950 Uttam Kumaran: If I could just do that one afternoon, I’ll rip… I’ll just rip through it, but that’s, like, what I would rather work on, and so…
614 00:59:47.130 ⇒ 00:59:49.920 Justin Breshears: I think if we’re all good on that decision, then let’s…
615 00:59:50.660 ⇒ 00:59:52.970 Awaish Kumar: On the urban stems, and let’s make that one.
616 00:59:53.140 ⇒ 01:00:09.309 Amber Lin: Yeah, okay. We have the Urban Sam Sprint kickoff right after this meeting. I can also schedule a handover meeting sometime this week, which would… would you want to join the meeting right after this, just to get a quick sense of where we’re at, and then we can have another handoff meeting?
617 01:00:12.710 ⇒ 01:00:14.240 Uttam Kumaran: Oh, Aish, that’s a question for you.
618 01:00:15.160 ⇒ 01:00:16.429 Awaish Kumar: Sorry, what was the question?
619 01:00:16.580 ⇒ 01:00:20.159 Uttam Kumaran: Well, we have a… we’re doing a sprint kickoff right after this.
620 01:00:20.750 ⇒ 01:00:22.079 Awaish Kumar: Oh, good.
621 01:00:22.660 ⇒ 01:00:24.900 Uttam Kumaran: We could loop you in there.
622 01:00:25.760 ⇒ 01:00:27.840 Uttam Kumaran: Or do, like, a larger handoff.
623 01:00:28.400 ⇒ 01:00:31.640 Uttam Kumaran: Tomorrow?
624 01:00:32.600 ⇒ 01:00:34.469 Awaish Kumar: I would prefer tomorrow.
625 01:00:36.840 ⇒ 01:00:41.210 Awaish Kumar: Okay, I think Amber… I can hear the recording for today’s meeting.
626 01:00:42.220 ⇒ 01:00:43.960 Awaish Kumar: Actually,
627 01:00:44.070 ⇒ 01:00:50.680 Awaish Kumar: like, the Today Spring Kickoff, I can come prepared tomorrow, and I can meet with Amber to, like, basically
628 01:00:51.130 ⇒ 01:00:52.680 Awaish Kumar: What needs to be doing?
629 01:00:54.380 ⇒ 01:00:55.300 Awaish Kumar: And I can messaging.
630 01:00:55.300 ⇒ 01:01:01.310 Justin Breshears: For today, I don’t think they’re expecting you to, like, lead it, but just, like, kind of be a fly on the wall, right?
631 01:01:02.350 ⇒ 01:01:08.920 Uttam Kumaran: Yeah, I just think you probably… I think this is a busy day, so I don’t just think he has availability, basically. Yeah. Alright, I mean, let’s…
632 01:01:08.920 ⇒ 01:01:09.660 Justin Breshears: Tomorrow.
633 01:01:09.820 ⇒ 01:01:14.329 Uttam Kumaran: Yeah, let’s just pick it up tomorrow. Amber, I think I will…
634 01:01:14.470 ⇒ 01:01:22.749 Uttam Kumaran: Let’s go ahead and, in our meeting today, like, right after this, we can just walk through our open items and still run normally, and then let’s just do another hour with
635 01:01:23.360 ⇒ 01:01:26.340 Uttam Kumaran: The four of us, and then we can do the transition.
636 01:01:27.880 ⇒ 01:01:31.459 Amber Lin: Okay, let me grab some time…
637 01:01:32.220 ⇒ 01:01:36.609 Amber Lin: My Tuesday also got really, really full, so let me…
638 01:01:36.610 ⇒ 01:01:38.300 Awaish Kumar: Try and see, where’s…
639 01:01:41.080 ⇒ 01:01:45.809 Justin Breshears: I think this is a helpful exercise every week to look at in these Monday meetings, is to look.
640 01:01:45.810 ⇒ 01:01:46.130 Uttam Kumaran: Yeah.
641 01:01:46.130 ⇒ 01:01:49.880 Justin Breshears: is, like, resourcing and availability and see, like, where we need to…
642 01:01:49.880 ⇒ 01:01:53.329 Uttam Kumaran: Well, also, one thing I’m just generally, like, again, like, I…
643 01:01:53.450 ⇒ 01:01:57.850 Uttam Kumaran: I sent this to you, Justin or Robert, but we’re more… I’m trying to think more about
644 01:01:58.150 ⇒ 01:02:01.639 Uttam Kumaran: Less people, more people that are, like.
645 01:02:02.120 ⇒ 01:02:13.270 Uttam Kumaran: can play different hats. And it is really a sea change of, like, thinking about our company less of, like, we have people that are in these defined roles, where instead we just have, like.
646 01:02:13.720 ⇒ 01:02:17.840 Awaish Kumar: People have a broad swath of confidence across multiple different.
647 01:02:17.910 ⇒ 01:02:23.360 Uttam Kumaran: things… capabilities. And so, right now, it’s like, yes.
648 01:02:23.740 ⇒ 01:02:32.820 Uttam Kumaran: in a traditional world, we are missing this role, this role, this role, but I’m like, okay, but if you flip that, it’s clear we have, like, probably 20 to 30 hours available.
649 01:02:33.100 ⇒ 01:02:46.899 Uttam Kumaran: can any of those hours get allocated to the existing work? Versus me going and getting another 2 or 3 people, we already have people that I know are capable of either picking that up or learning the skill set that’s needed, and I would rather give them
650 01:02:47.350 ⇒ 01:02:50.199 Uttam Kumaran: the time and money. And so, that’s, like.
651 01:02:50.790 ⇒ 01:02:57.019 Uttam Kumaran: more of what I want the conversation to switch at. Like, I think, again, the guideline is basically, like, are we at 80%?
652 01:02:57.310 ⇒ 01:02:58.970 Uttam Kumaran: billable capacity.
653 01:02:59.360 ⇒ 01:03:01.320 Uttam Kumaran: Right? Like, are we hitting 80%?
654 01:03:01.580 ⇒ 01:03:14.299 Uttam Kumaran: even if we’re close to 90-95, I don’t mind, because then we don’t have a lot of internal work. I would actually be more… I would like us to be closer towards, like, 100% than… than, like, below 80.
655 01:03:14.580 ⇒ 01:03:19.089 Uttam Kumaran: And I think there are some people that are sort of hovering at 80 or less, so…
656 01:03:19.250 ⇒ 01:03:27.930 Uttam Kumaran: I would like… that’s another metric where next week we can try to look at, like, what is the average, and then who is on the low end of allocation, and then, yeah.
657 01:03:27.930 ⇒ 01:03:38.329 Justin Breshears: That might be an OKR to… to slot in for, like, Q1 next year or something, like, let’s maybe spend this next quarter, like, trying to dial in what is the ideal.
658 01:03:38.480 ⇒ 01:03:43.219 Justin Breshears: Like, allocation? Allocation. And then try to… then try to, like, measure that.
659 01:03:43.600 ⇒ 01:03:49.389 Uttam Kumaran: So you mentioned, in our conversation last week, or whatever, you mentioned that, like, that typically the 20% just went to, like.
660 01:03:50.530 ⇒ 01:03:53.390 Uttam Kumaran: Was that including, like, PTO and stuff, and then, like…
661 01:03:53.390 ⇒ 01:04:10.009 Justin Breshears: Yes, yeah, so that was, like, overhead stuff, mostly. It wasn’t, like, a ton of, like, internal work, or, like, stuff. It was mostly just, like, wasted time. Maybe time between projects, because, again, that scenario was a little bit different, because people were usually 100% allocated to each project they were doing, so…
662 01:04:10.010 ⇒ 01:04:15.569 Justin Breshears: They would be 100% allocated, and then maybe have, like, a week gap in between projects, and then that’s…
663 01:04:15.590 ⇒ 01:04:17.749 Justin Breshears: That would eat into that 20%, right?
664 01:04:17.750 ⇒ 01:04:25.319 Uttam Kumaran: So then I would say, if it’s… most of it is… is… if the… if the driver of the 20 is mostly just dead time.
665 01:04:25.440 ⇒ 01:04:27.780 Uttam Kumaran: then I would say we aim for 90%.
666 01:04:27.780 ⇒ 01:04:29.259 Justin Breshears: Right, yeah, we shouldn’t…
667 01:04:29.260 ⇒ 01:04:29.850 Uttam Kumaran: Reset that.
668 01:04:29.850 ⇒ 01:04:32.460 Justin Breshears: higher, because we don’t have that problem.
669 01:04:33.180 ⇒ 01:04:37.750 Uttam Kumaran: So, I would say, like, let’s aim for 90% Utilization.
670 01:04:37.890 ⇒ 01:04:44.500 Uttam Kumaran: On average. And then again, that leaves… if you think about it, there’s 52 weeks, 10% is 5 weeks.
671 01:04:44.690 ⇒ 01:04:50.470 Uttam Kumaran: There’s 5 weeks of dead time, we have holidays, PTO. I’m okay with 90%.
672 01:04:50.650 ⇒ 01:04:53.340 Uttam Kumaran: I mean, we could start there, like…
673 01:04:53.580 ⇒ 01:04:57.720 Uttam Kumaran: That way, also, again, there’s dead time PTO within some… some folks, like.
674 01:04:57.890 ⇒ 01:05:00.840 Uttam Kumaran: I know some of Sam’s time’s gonna go to internal platform.
675 01:05:00.840 ⇒ 01:05:01.990 Samuel Roberts: That’s what I was thinking about.
676 01:05:01.990 ⇒ 01:05:02.590 Uttam Kumaran: Crew is gonna…
677 01:05:02.590 ⇒ 01:05:03.350 Samuel Roberts: Top of that, yeah.
678 01:05:03.350 ⇒ 01:05:10.150 Uttam Kumaran: yeah, some of this crew is going to be working on internal guidelines. I think that’ll easily fill the remaining
679 01:05:11.060 ⇒ 01:05:13.390 Uttam Kumaran: 2 or 3 weeks of work, you know, so…
680 01:05:13.530 ⇒ 01:05:23.019 Justin Breshears: That’s why I like the idea of, like, maybe let’s track it this quarter, and see, like, what the metrics look like and what the ideal is, and then make it a… an OKR next quarter.
681 01:05:23.020 ⇒ 01:05:23.700 Uttam Kumaran: Okay.
682 01:05:23.840 ⇒ 01:05:28.979 Uttam Kumaran: So let’s talk about it in our PMO sync, and then we can see if we want to add something like that to the goals.
683 01:05:29.690 ⇒ 01:05:31.120 Uttam Kumaran: I’d, like, track.
684 01:05:31.830 ⇒ 01:05:33.050 Justin Breshears: I’m with you there.
685 01:05:33.050 ⇒ 01:05:33.670 Uttam Kumaran: Okay.
686 01:05:34.570 ⇒ 01:05:41.799 Justin Breshears: I know we’re, like, over, so I don’t wanna hold anybody away from anything important, but.
687 01:05:42.440 ⇒ 01:05:44.900 Uttam Kumaran: What are the… what other decisions do we have, yeah?
688 01:05:45.100 ⇒ 01:05:57.749 Justin Breshears: Yeah, so Sam is gonna work with sales on the case studies, improving go-to-market, and then he and I will meet and discuss the Forge, and see how I can better support PMs.
689 01:05:58.010 ⇒ 01:06:03.219 Justin Breshears: So stuff, like you said. Other than that, we are working on… go ahead.
690 01:06:03.220 ⇒ 01:06:06.909 Amber Lin: And one thing to… on ABC, because Sam’s…
691 01:06:07.080 ⇒ 01:06:21.599 Amber Lin: time. We want to maybe have a wish look at how he can help with the DE stuff on the transcripts, and then… and then have Sam take over, or start planning for the AI part of the transcripts, so that
692 01:06:21.930 ⇒ 01:06:25.859 Amber Lin: We can have Awashia’s expertise and reduce the time there.
693 01:06:30.010 ⇒ 01:06:30.520 Uttam Kumaran: Okay.
694 01:06:32.430 ⇒ 01:06:46.579 Justin Breshears: Yep, and then we’re… as far as all, like, the OKR metrics and tracking and stuff like that, we had a long conversation about how we want to set up that dashboard and things, so if… depending on how Urban Sims shakes out, and if you take over that internal dashboarding.
695 01:06:46.800 ⇒ 01:06:52.679 Justin Breshears: maybe, Amber, follow up with Tom and said, just however that shakes out, whoever’s owning that.
696 01:06:52.910 ⇒ 01:07:01.130 Justin Breshears: We’re gonna try and get a dashboard together so that we don’t have to manually fill a Notion doc every week. We can take a look at the snapshot, see how we’re tracking, and then move on to decision making.
697 01:07:02.110 ⇒ 01:07:02.630 Uttam Kumaran: Okay.
698 01:07:02.630 ⇒ 01:07:10.150 Justin Breshears: And that’s what this meeting should… should be about, is us get together, make the decisions we need to make for the week, and for the upcoming, and stuff like that, so…
699 01:07:10.150 ⇒ 01:07:10.720 Uttam Kumaran: Okay.
700 01:07:11.520 ⇒ 01:07:12.140 Justin Breshears: Yeah.
701 01:07:12.360 ⇒ 01:07:14.450 Justin Breshears: That was… that was the gist of today.
702 01:07:15.260 ⇒ 01:07:16.639 Uttam Kumaran: Okay. Cool.
703 01:07:18.300 ⇒ 01:07:19.340 Justin Breshears: Anything else, team?
704 01:07:24.130 ⇒ 01:07:25.189 Awaish Kumar: Nope. Alright.
705 01:07:25.190 ⇒ 01:07:27.239 Samuel Roberts: I take silence as a no, so…
706 01:07:28.350 ⇒ 01:07:30.080 Justin Breshears: Thank you for your time. Have a great day.
707 01:07:30.080 ⇒ 01:07:30.880 Uttam Kumaran: He asks.
708 01:07:30.880 ⇒ 01:07:31.740 Samuel Roberts: Okay.
709 01:07:32.830 ⇒ 01:07:33.390 Uttam Kumaran: Right?
710 01:07:33.960 ⇒ 01:07:35.040 Amber Lin: Alright, bye.