Meeting Title: Product Analytics and PM Decisions Sync Date: 2025-08-20 Meeting participants: Awaish Kumar, Amber Lin, Uttam Kumaran
WEBVTT
1 00:01:21.960 ⇒ 00:01:22.920 Amber Lin: Hi.
2 00:01:24.410 ⇒ 00:01:25.750 Awaish Kumar: Hello.
3 00:01:26.330 ⇒ 00:01:32.139 Amber Lin: Do you know for a meeting… Oh, let’s check.
4 00:01:35.270 ⇒ 00:01:36.380 Amber Lin: Huh.
5 00:01:41.770 ⇒ 00:01:44.800 Amber Lin: Okay, let’s add them in the channel.
6 00:01:46.930 ⇒ 00:01:49.900 Amber Lin: I think Robert doesn’t join the Wednesday ones.
7 00:01:51.260 ⇒ 00:01:51.930 Awaish Kumar: Beautiful.
8 00:01:55.660 ⇒ 00:02:00.330 Amber Lin: Oh, have you already… have you guys already met on the doc that Utam sent?
9 00:02:04.400 ⇒ 00:02:05.989 Awaish Kumar: Oh… nope.
10 00:02:13.860 ⇒ 00:02:19.309 Awaish Kumar: Pardo… The one with analytics resources?
11 00:02:21.950 ⇒ 00:02:25.390 Awaish Kumar: Yeah, the analyst resourcing part, I filled that.
12 00:02:53.240 ⇒ 00:02:59.959 Amber Lin: Okay, I think… I don’t see… let me check his calendar.
13 00:03:01.980 ⇒ 00:03:02.940 Amber Lin: Okay…
14 00:03:06.670 ⇒ 00:03:09.580 Amber Lin: Yeah, we didn’t buy locations like that.
15 00:03:13.690 ⇒ 00:03:15.900 Amber Lin: So are you rolling a good week of rainbow?
16 00:03:34.240 ⇒ 00:03:35.509 Amber Lin: Well, revolving it?
17 00:03:53.130 ⇒ 00:03:54.289 Amber Lin: One thing, hold on.
18 00:04:00.470 ⇒ 00:04:03.400 Amber Lin: Okay, I think we should… oh.
19 00:04:04.090 ⇒ 00:04:08.780 Amber Lin: Utam just responded. I think he’s gonna be joining soon.
20 00:04:26.020 ⇒ 00:04:27.780 Amber Lin: Yeah, older….
21 00:07:12.840 ⇒ 00:07:13.920 Uttam Kumaran: Hello.
22 00:07:14.090 ⇒ 00:07:15.280 Amber Lin: Hi!
23 00:07:18.900 ⇒ 00:07:23.049 Amber Lin: I think Robert doesn’t join our Wednesday sessions, so it’s just gonna be us.
24 00:07:26.370 ⇒ 00:07:27.440 Uttam Kumaran: Okay….
25 00:07:28.010 ⇒ 00:07:31.460 Amber Lin: I kind of need him to make this decision, but….
26 00:07:31.780 ⇒ 00:07:36.259 Uttam Kumaran: I guess I can get everybody’s feedback here, and then I can give them a call.
27 00:07:38.690 ⇒ 00:07:48.789 Amber Lin: Yeah, I think I’ve made my comments, but I don’t think it matters that much, because since Robert needs to make the call on
28 00:07:49.070 ⇒ 00:07:52.330 Amber Lin: Specifically product analytics.
29 00:07:53.760 ⇒ 00:07:54.520 Uttam Kumaran: Okay.
30 00:07:54.730 ⇒ 00:07:58.699 Uttam Kumaran: Awash, do you have a chance to take a look at stuff, and any thoughts?
31 00:07:58.700 ⇒ 00:07:59.350 Awaish Kumar: Yup.
32 00:07:59.840 ⇒ 00:08:02.689 Awaish Kumar: I also filled it out, and ….
33 00:08:03.420 ⇒ 00:08:04.110 Uttam Kumaran: Okay.
34 00:08:04.720 ⇒ 00:08:09.769 Awaish Kumar: So what I… Like, what my suggestions were, like, more…
35 00:08:10.060 ⇒ 00:08:14.670 Awaish Kumar: Like, like, we don’t, right now, accept the robot, we don’t have any….
36 00:08:15.160 ⇒ 00:08:19.230 Amber Lin: product analytics lead, right? Which… which can drive the….
37 00:08:19.730 ⇒ 00:08:24.039 Awaish Kumar: Yeah. Project from requirements until… until the implementation.
38 00:08:24.220 ⇒ 00:08:25.390 Amber Lin: So….
39 00:08:25.390 ⇒ 00:08:29.089 Awaish Kumar: And that, like, I don’t think we can train
40 00:08:29.350 ⇒ 00:08:34.460 Awaish Kumar: anyone or, like, Annie or Henry to replace, like, Robert in a month.
41 00:08:34.730 ⇒ 00:08:37.069 Awaish Kumar: So, like, we need someone for that.
42 00:08:39.580 ⇒ 00:08:41.060 Uttam Kumaran: I agree. Okay.
43 00:08:42.440 ⇒ 00:08:43.440 Uttam Kumaran: Okay.
44 00:08:43.840 ⇒ 00:08:46.880 Uttam Kumaran: Yeah, I mean, my recommendation is gonna be…
45 00:08:47.020 ⇒ 00:08:49.640 Uttam Kumaran: try to bring Trey on part-time.
46 00:08:49.870 ⇒ 00:08:52.349 Uttam Kumaran: And… get her to full-time
47 00:08:52.540 ⇒ 00:08:57.080 Uttam Kumaran: like, I kind of want to separate, like, I don’t think Annie’s gonna be able to take on
48 00:08:57.280 ⇒ 00:09:04.260 Uttam Kumaran: the highest high level of a product analytics work. Like, it’s gonna take a couple years to understand this type of stuff, even for the best people, so…
49 00:09:04.950 ⇒ 00:09:11.989 Uttam Kumaran: … Okay. I… the Allegro stuff, I care. I’m, like, less relevant.
50 00:09:12.440 ⇒ 00:09:14.900 Uttam Kumaran: But it would be nice to have somebody
51 00:09:15.030 ⇒ 00:09:17.240 Uttam Kumaran: Take care of dashboard stuff, but…
52 00:09:20.200 ⇒ 00:09:23.519 Uttam Kumaran: Yeah, I don’t know. Not, like, the highest priority for me.
53 00:09:24.560 ⇒ 00:09:25.120 Awaish Kumar: Yup.
54 00:09:26.480 ⇒ 00:09:28.170 Amber Lin: -Oh, we’re opening up.
55 00:09:30.130 ⇒ 00:09:31.980 Uttam Kumaran: Okay, cool.
56 00:09:31.980 ⇒ 00:09:36.300 Awaish Kumar: What are the needs on, … Spark plug, and …
57 00:09:36.840 ⇒ 00:09:40.729 Awaish Kumar: Insomnia? Like, you mentioned some, like, the dashboarding needs.
58 00:09:41.530 ⇒ 00:09:46.340 Uttam Kumaran: It’s the same thing, it’s sort of dashboarding and product analytics.
59 00:09:47.450 ⇒ 00:09:51.499 Awaish Kumar: What is that, like, Tableau, Power BI, Rail, or what?
60 00:09:51.790 ⇒ 00:09:53.030 Uttam Kumaran: Power BI.
61 00:09:54.000 ⇒ 00:09:54.619 Amber Lin: Oh, largely….
62 00:09:54.620 ⇒ 00:09:55.210 Awaish Kumar: Okay.
63 00:09:55.610 ⇒ 00:09:56.020 Amber Lin: Yeah.
64 00:09:59.090 ⇒ 00:10:02.100 Amber Lin: I’m… Yeah.
65 00:10:02.100 ⇒ 00:10:04.940 Awaish Kumar: Yeah, any, any can handle Power BI.
66 00:10:05.320 ⇒ 00:10:06.010 Awaish Kumar: stove.
67 00:10:13.800 ⇒ 00:10:17.999 Uttam Kumaran: Okay. Alright, that’s kind of, like, the main thing, so I’ll…
68 00:10:18.510 ⇒ 00:10:22.510 Uttam Kumaran: Let me call him and try to get to a decision. …
69 00:10:23.340 ⇒ 00:10:29.130 Uttam Kumaran: Yeah, I guess I wanted to ask Amber, like, how you feel about these PM candidates, if you have a gut feeling on anyone.
70 00:10:29.580 ⇒ 00:10:37.929 Amber Lin: Yeah, I have… oh, I have… today, I have Danielle, I have James, I’m…
71 00:10:38.050 ⇒ 00:10:48.659 Amber Lin: I’m looking forward to talking to James, as he seems like he has a lot of overlap with us. Next week, Aesha just is scheduled, and then there’s…
72 00:10:49.460 ⇒ 00:10:52.220 Amber Lin: Gulami! ….
73 00:10:52.220 ⇒ 00:10:52.730 Uttam Kumaran: Yeah.
74 00:10:52.730 ⇒ 00:11:00.950 Amber Lin: who applied to our system on Thursday, Andrea’s… what… sorry, the Aisha is on Tuesday next week.
75 00:11:01.270 ⇒ 00:11:06.510 Amber Lin: I think so far, I personally think…
76 00:11:07.150 ⇒ 00:11:12.879 Amber Lin: Because who do we have? We have… Seed, we have…
77 00:11:13.080 ⇒ 00:11:16.409 Amber Lin: Oh gosh, I forgot their names. Let me pull it up.
78 00:11:17.360 ⇒ 00:11:21.490 Amber Lin: … I think we have some strong…
79 00:11:22.080 ⇒ 00:11:30.489 Amber Lin: candidates? I think Justin’s very startup-focused. Alik is very, … he’s more…
80 00:11:32.060 ⇒ 00:11:36.589 Amber Lin: of a PM. He just… he started very… I think he has a…
81 00:11:36.860 ⇒ 00:11:41.060 Amber Lin: decent foundation in the PM world. I think Siad had some…
82 00:11:41.200 ⇒ 00:11:50.840 Amber Lin: strategic consulting background, so that would also benefit… we can also benefit from that. So it’s… they’re very different profiles.
83 00:11:52.050 ⇒ 00:11:52.610 Uttam Kumaran: Okay.
84 00:11:52.800 ⇒ 00:12:02.119 Amber Lin: Yeah, it’s hard to decide. I need Alex to tell us, if they’re technically sufficient, and then we can talk about cultural fit.
85 00:12:05.730 ⇒ 00:12:06.820 Uttam Kumaran: How about Justin?
86 00:12:07.210 ⇒ 00:12:14.400 Amber Lin: Oh, Justin’s very startup-focused, so he, he is kind of… Like….
87 00:12:14.810 ⇒ 00:12:17.260 Uttam Kumaran: He just sounds like a startup guy.
88 00:12:17.260 ⇒ 00:12:35.159 Amber Lin: It’s what I can say. I need more of closer values, especially on his PMing skills, but culturally, and I think in terms of vision-wise, I think he would fit to build up a… something at a department. I just… I just want to know if he’s technically capable.
89 00:12:35.810 ⇒ 00:12:42.190 Amber Lin: I think he’ll fit in the culture really well, but I want to check on the… Technical stamp.
90 00:12:42.540 ⇒ 00:12:44.730 Amber Lin: Yeah.
91 00:12:45.410 ⇒ 00:12:46.090 Uttam Kumaran: Great.
92 00:12:46.360 ⇒ 00:12:47.670 Amber Lin: Yep. ….
93 00:12:48.280 ⇒ 00:12:51.060 Uttam Kumaran: Yeah, how’s everything else going overall?
94 00:12:51.060 ⇒ 00:12:52.250 Amber Lin: No.
95 00:12:52.730 ⇒ 00:12:54.270 Amber Lin: I think….
96 00:12:54.950 ⇒ 00:12:59.339 Uttam Kumaran: It’s getting more on track this week. Eden is getting….
97 00:12:59.850 ⇒ 00:13:16.929 Amber Lin: it’s going really well this week. We’ll see how the week closes. We had our midweek checkpoint, which, thank you, Aish, for the recommendation, was really helpful, and I think Aiden’s running pretty well. Insomnia, the…
98 00:13:17.140 ⇒ 00:13:27.920 Amber Lin: I think we’re two automations down, we need to figure out the DoorDash and Uber thing, which I think we need to arrive on a decision, or at least test it. So…
99 00:13:28.250 ⇒ 00:13:32.330 Amber Lin: We can either test it, or wait for feedback, or…
100 00:13:32.710 ⇒ 00:13:36.090 Amber Lin: a to-go signal from Robert or from you.
101 00:13:36.520 ⇒ 00:13:46.270 Amber Lin: So that Casey can start testing with those tools and automation. It’s just, all of them needs… needs a higher tier to be paid. ….
102 00:13:46.510 ⇒ 00:13:47.230 Uttam Kumaran: Okay.
103 00:13:47.420 ⇒ 00:13:52.690 Amber Lin: And then ABC, I just called them, onboarded Tara and Janiece, I think it’s…
104 00:13:53.120 ⇒ 00:14:00.300 Amber Lin: I think on that end’s going pretty well. I’m gonna need to check on the database and how that’s going, because there’s still some…
105 00:14:00.870 ⇒ 00:14:02.670 Amber Lin: Issues with the…
106 00:14:02.860 ⇒ 00:14:20.280 Amber Lin: just new issues as they come in, and just a lot of manual hassle for us to check, verify, and then update it, and then tell them we updated. So if we can solve the inspector sheet and the other sheet issues, I think it’ll save us a lot of time. It’s also a big usage driver. So that’s the main thing I’m thinking about.
107 00:14:20.370 ⇒ 00:14:26.140 Amber Lin: I think for tomorrow, we have the climate meeting. I’m just gonna record a progress update.
108 00:14:26.270 ⇒ 00:14:35.140 Amber Lin: Just like how I do usually, and I can send that video for tomorrow, and I know the rest you’re gonna talk about… talk to Yvette about.
109 00:14:35.280 ⇒ 00:14:37.329 Amber Lin: the AI by AI stuff.
110 00:14:37.330 ⇒ 00:14:42.139 Uttam Kumaran: Yeah, I’m almost like, maybe we just have it be, like.
111 00:14:42.640 ⇒ 00:14:46.860 Uttam Kumaran: a conversation about getting 8x8 and getting those forms versus.
112 00:14:46.860 ⇒ 00:14:47.520 Amber Lin: Yeah.
113 00:14:47.690 ⇒ 00:14:51.530 Uttam Kumaran: It was just sending an update, so we don’t have to use Matt’s time for that.
114 00:14:52.000 ⇒ 00:14:52.950 Amber Lin: Sure.
115 00:14:53.340 ⇒ 00:14:57.959 Amber Lin: So, do you want to skip that meeting, or ask just Yvette to be there?
116 00:14:58.110 ⇒ 00:15:01.100 Uttam Kumaran: Yeah, let’s just ask Josiavette to be there, and I can join. Okay.
117 00:15:01.500 ⇒ 00:15:20.740 Amber Lin: Okay, let me do that. Oh, and also talk to Janiece about the form today. She said people… the service managers are not using it. The only time they use it was when Yvette was in person with them. So, there’s gonna be a usage adoption curve there, too.
118 00:15:22.700 ⇒ 00:15:23.270 Uttam Kumaran: Okay.
119 00:15:26.750 ⇒ 00:15:34.349 Uttam Kumaran: Yeah, on my side, Urban STEM stuff is good. Like, I have some stuff to crank out today. It’s been…
120 00:15:35.580 ⇒ 00:15:37.380 Uttam Kumaran: I think it’s getting…
121 00:15:37.710 ⇒ 00:15:46.449 Uttam Kumaran: better across, like, engineering. I feel a little bit better after we made some changes. I think people are generally managing their stuff.
122 00:15:46.880 ⇒ 00:15:49.700 Uttam Kumaran: Yeah, I’m just trying to…
123 00:15:50.360 ⇒ 00:15:55.280 Uttam Kumaran: get us to the end of this product analytics decision and PM decision.
124 00:15:55.430 ⇒ 00:15:58.669 Uttam Kumaran: Take a break from hiring for a sec.
125 00:16:02.170 ⇒ 00:16:05.600 Uttam Kumaran: And then, yeah, we have a couple other clients that kicked off, Ellie.
126 00:16:05.770 ⇒ 00:16:14.190 Uttam Kumaran: Kicked off. So, yeah, I’m motivated to try to come to a final decision on this, so… …
127 00:16:14.500 ⇒ 00:16:19.569 Uttam Kumaran: Yeah, I think I’ll… that’s sort of what’s top of mind for me. And then, yeah, today.
128 00:16:19.770 ⇒ 00:16:21.920 Uttam Kumaran: The rest of the day today, I’m just…
129 00:16:22.190 ⇒ 00:16:26.290 Uttam Kumaran: Working on stuff, and then tomorrow, too, …
130 00:16:28.590 ⇒ 00:16:35.420 Uttam Kumaran: I know I have some meetings in the morning, but I just may take the first part of the day just to continue working on engineering stuff, so….
131 00:16:36.390 ⇒ 00:16:37.220 Amber Lin: Okay.
132 00:16:39.720 ⇒ 00:16:40.350 Uttam Kumaran: Okay.
133 00:16:41.040 ⇒ 00:16:41.970 Awaish Kumar: Yep.
134 00:16:42.270 ⇒ 00:16:46.320 Awaish Kumar: And, like, I wanted to ask, like, we got something from….
135 00:16:46.570 ⇒ 00:16:49.299 Amber Lin: Like, the remote team?
136 00:16:49.600 ⇒ 00:16:54.619 Awaish Kumar: It’s just 3 IDs, like, should we send them to serve? Like….
137 00:16:55.320 ⇒ 00:16:58.699 Uttam Kumaran: Yeah, so Surf should… Surf should be in that channel now.
138 00:16:58.700 ⇒ 00:17:00.880 Awaish Kumar: Okay, we can tag him there, then.
139 00:17:00.880 ⇒ 00:17:01.720 Uttam Kumaran: Yeah, yeah.
140 00:17:02.950 ⇒ 00:17:07.810 Awaish Kumar: Okay, and I have pushed it… pushed for, like, further information, but they just sent…
141 00:17:08.010 ⇒ 00:17:09.849 Awaish Kumar: Kind of a ERD diagram.
142 00:17:10.710 ⇒ 00:17:12.449 Awaish Kumar: Up to now, yup.
143 00:17:12.900 ⇒ 00:17:18.860 Awaish Kumar: And For Aiden, I just have one more recommendation.
144 00:17:19.040 ⇒ 00:17:26.010 Awaish Kumar: For the grooming part, like, we need to be more… better with….
145 00:17:26.319 ⇒ 00:17:30.820 Amber Lin: Estimation, also assigning tickets to the people in a cycle.
146 00:17:30.820 ⇒ 00:17:37.680 Awaish Kumar: Because, when we have this, like, gap, like, for example, 10-hour cap, and we get lost,
147 00:17:37.890 ⇒ 00:17:46.100 Awaish Kumar: Like, sometimes we… That gets spent in, like, 2 days, like, and we keep on assigning more tickets.
148 00:17:46.280 ⇒ 00:17:49.689 Awaish Kumar: It just increases the time we spend on the… on the client.
149 00:17:50.140 ⇒ 00:17:53.190 Amber Lin: I hear you. I think…
150 00:17:53.390 ⇒ 00:18:01.080 Amber Lin: the grooming meeting will definitely help with estimates, and I think… So, right now.
151 00:18:01.320 ⇒ 00:18:13.950 Amber Lin: I asked engineers to scope out the new request. I think I’ll ask additional requirements for them to just add a line of how many hours it’s gonna take, and I will add that to…
152 00:18:13.950 ⇒ 00:18:22.969 Amber Lin: The estimates, and then so that everything can be pointed, and if we have, say, 5 points more added, we’ll take 5 points out.
153 00:18:22.970 ⇒ 00:18:26.990 Amber Lin: I think that’s something that, if I keep in mind, I can help it.
154 00:18:27.060 ⇒ 00:18:31.020 Amber Lin: I can help get estimates… get estimates from.
155 00:18:31.020 ⇒ 00:18:31.530 Awaish Kumar: people.
156 00:18:32.030 ⇒ 00:18:32.860 Amber Lin: Yeah.
157 00:18:33.260 ⇒ 00:18:36.789 Awaish Kumar: Yeah, like, we can do that with the story points as well, like, we can.
158 00:18:36.790 ⇒ 00:18:37.510 Amber Lin: Yeah.
159 00:18:37.510 ⇒ 00:18:38.220 Awaish Kumar: True.
160 00:18:38.600 ⇒ 00:18:40.000 Amber Lin: Totally. Okay.
161 00:18:40.930 ⇒ 00:18:51.500 Amber Lin: Yeah, I think this is something the team and I, like, the team can work on it together. I think we saw some good improvements this week. I think that that’s definitely something we can add to.
162 00:18:52.090 ⇒ 00:18:52.680 Uttam Kumaran: Okay.
163 00:18:53.350 ⇒ 00:18:58.910 Awaish Kumar: And I’m a little bit also concerned about, watch, Dave, …
164 00:18:59.660 ⇒ 00:19:13.940 Awaish Kumar: on, like, AE tasks, like, we wanted him to be on Aiden, but so that I step away from daily development work, but yeah, we haven’t achieved it so far.
165 00:19:14.690 ⇒ 00:19:15.210 Amber Lin: Oh, boy.
166 00:19:15.210 ⇒ 00:19:17.610 Uttam Kumaran: Okay, yeah, I mean, I… I…
167 00:19:17.950 ⇒ 00:19:22.820 Uttam Kumaran: I don’t know if he’s gonna be able to take on the AE stuff, I think it’s probably…
168 00:19:23.300 ⇒ 00:19:26.539 Uttam Kumaran: worth just having him take on DE work.
169 00:19:26.850 ⇒ 00:19:29.929 Awaish Kumar: Both for Eden and across clients.
170 00:19:30.140 ⇒ 00:19:35.110 Uttam Kumaran: I… I have a couple more people for you to interview, but we’re just gonna have to find another
171 00:19:36.550 ⇒ 00:19:37.740 Uttam Kumaran: Hey, ….
172 00:19:38.050 ⇒ 00:19:38.710 Amber Lin: Would that help.
173 00:19:38.710 ⇒ 00:19:41.759 Awaish Kumar: But for data engineering, like, right now, …
174 00:19:42.010 ⇒ 00:19:45.100 Awaish Kumar: I’m not sure we have, like, 20 hours.
175 00:19:45.980 ⇒ 00:19:46.710 Uttam Kumaran: I agree.
176 00:19:46.710 ⇒ 00:19:47.460 Awaish Kumar: Probably, yeah.
177 00:19:47.590 ⇒ 00:19:49.719 Uttam Kumaran: I don’t think we do either, so…
178 00:19:51.680 ⇒ 00:19:54.250 Uttam Kumaran: Is there any DE work on Eden?
179 00:19:55.490 ⇒ 00:20:00.039 Awaish Kumar: Yeah, like, we… right now, we do have, like, a few pipelines which are there.
180 00:20:00.290 ⇒ 00:20:07.019 Awaish Kumar: … In there, like, so, so, so, like, we have, like, maintenance tasks sometimes when they fail, or…
181 00:20:07.260 ⇒ 00:20:20.939 Awaish Kumar: something, and only one or two more tickets for, like, they want us to create a few more pipelines, like, hitting the APIs to get some data.
182 00:20:22.890 ⇒ 00:20:26.760 Awaish Kumar: So, like, there are two options. One is that, like, we have built…
183 00:20:26.940 ⇒ 00:20:31.720 Awaish Kumar: Built in… built a few pipelines to get… get their offline spend data.
184 00:20:32.080 ⇒ 00:20:40.520 Awaish Kumar: And, so one is that we keep on doing that. Other part is that these are API endpoints, and we can ask Polytomic to build connectors.
185 00:20:42.620 ⇒ 00:20:49.370 Awaish Kumar: So… Yeah, not sure. Like, if we go with polyatomic, we don’t need DE….
186 00:20:49.940 ⇒ 00:20:53.459 Uttam Kumaran: Yeah, I mean, Polytomic is not gonna build it unless it’s, like….
187 00:20:54.070 ⇒ 00:20:54.580 Awaish Kumar: Perfect.
188 00:20:54.580 ⇒ 00:20:56.770 Uttam Kumaran: That a lot of their customers are gonna use.
189 00:20:57.760 ⇒ 00:20:58.380 Uttam Kumaran: You know?
190 00:20:58.380 ⇒ 00:20:58.990 Awaish Kumar: Yeah.
191 00:21:01.350 ⇒ 00:21:06.730 Uttam Kumaran: But, okay, I mean, look, I think you just assign him whatever’s left on… on there.
192 00:21:07.110 ⇒ 00:21:13.040 Uttam Kumaran: I think there is… like, there’s certainly another… there’s certainly some stuff we need internally, like.
193 00:21:13.490 ⇒ 00:21:17.700 Uttam Kumaran: I think our pipelines We want to make sure are working.
194 00:21:18.860 ⇒ 00:21:24.369 Uttam Kumaran: … And then, yeah, if we kind of, like, start to stall out and work, then that’s fine.
195 00:21:27.020 ⇒ 00:21:30.880 Awaish Kumar: Okay, so we do have, … a few more…
196 00:21:31.470 ⇒ 00:21:36.389 Awaish Kumar: One or more… one or two pipelines there, and then, yeah, all the internal work.
197 00:21:36.560 ⇒ 00:21:41.500 Uttam Kumaran: Yeah, like, the calendar stuff, and there’s certainly some Daxter stuff that’s failing, so….
198 00:21:41.500 ⇒ 00:21:41.970 Awaish Kumar: Amen.
199 00:21:41.970 ⇒ 00:21:44.200 Uttam Kumaran: You should take a look at that, and then…
200 00:21:44.890 ⇒ 00:21:52.880 Uttam Kumaran: you know, he… I can even ask him if he could do some documentation, but yeah, otherwise it’s fine. We’re gonna put out another roll for…
201 00:21:53.230 ⇒ 00:21:58.120 Uttam Kumaran: For AE, for senior AE, so that’s gonna go up, and we’ll get somebody.
202 00:22:00.060 ⇒ 00:22:00.710 Awaish Kumar: Okay.
203 00:22:01.180 ⇒ 00:22:02.450 Uttam Kumaran: Yeah, excellent.
204 00:22:02.820 ⇒ 00:22:03.450 Uttam Kumaran: Okay.
205 00:22:06.530 ⇒ 00:22:14.039 Uttam Kumaran: Okay, great. Alright, I will send this Slack once I call Robert to kind of get a decision on that, so….
206 00:22:17.420 ⇒ 00:22:18.090 Amber Lin: Okay.
207 00:22:18.090 ⇒ 00:22:20.190 Uttam Kumaran: I’m just sending the email to you, Yvette?
208 00:22:21.480 ⇒ 00:22:22.110 Uttam Kumaran: Okay.
209 00:22:22.700 ⇒ 00:22:24.740 Uttam Kumaran: Alright. Thank you, guys.
210 00:22:25.040 ⇒ 00:22:26.170 Amber Lin: Yeah, thank you!
211 00:22:26.450 ⇒ 00:22:27.340 Uttam Kumaran: Okay.