Meeting Title: ABC and Lilo Project Sync Date: 2026-01-20 Meeting participants: Mustafa Raja, Sheshu Chandrasekar, Pranav Narahari, Casie Aviles, Amber Lin, Clarence Stone
WEBVTT
1 00:00:59.150 ⇒ 00:01:00.550 Pranav Narahari: How’s it going, guys?
2 00:01:05.220 ⇒ 00:01:06.150 Mustafa Raja: Everyone knows.
3 00:01:06.280 ⇒ 00:01:07.109 Sheshu Chandrasekar: Paper not.
4 00:01:10.100 ⇒ 00:01:14.279 Pranav Narahari: Hello, hello. How’s, ABC stuff going, Mustafa, Casey?
5 00:01:16.060 ⇒ 00:01:18.060 Mustafa Raja: Yeah, I was able to do the…
6 00:01:18.420 ⇒ 00:01:23.939 Mustafa Raja: Email sync. I’m now going to take a look at the Notion doc you built.
7 00:01:24.110 ⇒ 00:01:28.730 Mustafa Raja: And then, probably, tomorrow, we’ll have… We’ll have to think.
8 00:01:31.010 ⇒ 00:01:35.020 Pranav Narahari: Okay, yeah, sounds good. I have, basically my entire day open tomorrow.
9 00:01:35.410 ⇒ 00:01:36.439 Mustafa Raja: Oh yeah, that’s nice.
10 00:01:55.740 ⇒ 00:02:03.740 Pranav Narahari: Amber, did you get to have a chance to look at the linear stuff to see if there’s anything else that you need to take off other people’s plate?
11 00:02:04.790 ⇒ 00:02:07.030 Amber Lin: Oh, I haven’t. I need to…
12 00:02:07.310 ⇒ 00:02:14.470 Amber Lin: sync with Sam on that. I think the most likely is you’re gonna take something off of Casey’s plate.
13 00:02:14.760 ⇒ 00:02:18.359 Amber Lin: Unless Mustafa is out of capacity.
14 00:02:19.280 ⇒ 00:02:28.169 Pranav Narahari: Okay, yeah, sounds good, no rush on that. Yeah, if it’s, like, Thursday, Friday, or something, that actually works out better for me, because I have some Lilo stuff to do in the meantime.
15 00:02:28.640 ⇒ 00:02:30.249 Amber Lin: Okay, sounds good.
16 00:03:13.230 ⇒ 00:03:16.849 Pranav Narahari: While we’re waiting for Uten, maybe Clarence,
17 00:03:17.200 ⇒ 00:03:22.090 Pranav Narahari: maybe I can bring up what me and Shayshu were talking about a little bit earlier today, which was…
18 00:03:22.470 ⇒ 00:03:28.899 Pranav Narahari: Something that I’ve been feeling as, like, a EP on Lilo is I don’t really know the…
19 00:03:29.530 ⇒ 00:03:35.820 Pranav Narahari: The capacity of everybody on my team, in terms of, like, how many hours they can allocate per week.
20 00:03:36.250 ⇒ 00:03:48.510 Pranav Narahari: And… I don’t know, Amber, since I feel like you have, like, the most experience as, like, running that, like, PM, EP role, is there a way that you usually, like, navigate figuring that out?
21 00:03:48.900 ⇒ 00:03:52.049 Amber Lin: Yeah, have you taken a look at operating yet?
22 00:03:52.580 ⇒ 00:04:10.609 Pranav Narahari: I have, yeah, and I think Ricoh showed it to me as well. I’m not sure if they’re just behind on operating, or, like, with this new kind of organization, they’re gonna use operating differently, but… yeah, I guess for ABC and, like, your other clients, are you able to see all that information in operating?
23 00:04:10.930 ⇒ 00:04:19.420 Amber Lin: Not really. I just… I haven’t checked because I remembered how much hours was allocated for everybody.
24 00:04:19.420 ⇒ 00:04:19.740 Pranav Narahari: Oh, gosh.
25 00:04:19.740 ⇒ 00:04:23.729 Amber Lin: Let’s take a look at that now, and if…
26 00:04:23.890 ⇒ 00:04:28.210 Amber Lin: If not, we can work together to assign it.
27 00:04:29.580 ⇒ 00:04:32.239 Pranav Narahari: Okay, yeah, I can share my screen real quick.
28 00:04:32.630 ⇒ 00:04:33.230 Amber Lin: Okay.
29 00:04:39.100 ⇒ 00:04:40.209 Pranav Narahari: Can you see operating?
30 00:04:41.330 ⇒ 00:04:42.530 Amber Lin: Yeah, I can see that.
31 00:04:43.110 ⇒ 00:04:43.900 Pranav Narahari: Perfect.
32 00:04:44.000 ⇒ 00:04:45.150 Pranav Narahari: Yeah, so…
33 00:04:45.970 ⇒ 00:04:50.600 Amber Lin: Should we go to Timeline? I think that’s where you will be able to see it.
34 00:04:51.460 ⇒ 00:04:52.070 Pranav Narahari: Gotcha.
35 00:04:52.070 ⇒ 00:04:55.030 Amber Lin: In timeline, Lilo… hmm.
36 00:04:57.410 ⇒ 00:05:00.300 Amber Lin: I don’t think there’s anything assigned yet.
37 00:05:01.340 ⇒ 00:05:11.999 Amber Lin: Oh, on the top, can you go to this part and clear the filters?
38 00:05:12.760 ⇒ 00:05:13.630 Pranav Narahari: Oh, yeah.
39 00:05:15.420 ⇒ 00:05:27.290 Amber Lin: Okay, let’s see if there’s anything… Assigned… So…
40 00:05:28.840 ⇒ 00:05:33.519 Amber Lin: Okay, there was a Lilo Deal 1 when it was just Bhutan.
41 00:05:33.670 ⇒ 00:05:39.600 Amber Lin: Let me see… On the right…
42 00:05:46.890 ⇒ 00:05:56.789 Amber Lin: Okay, I think we will need to do assignments together, Do we know approximately…
43 00:05:57.470 ⇒ 00:06:01.630 Amber Lin: How, say, your cells are assigned on each client?
44 00:06:02.770 ⇒ 00:06:03.880 Amber Lin: I foreseeable.
45 00:06:04.250 ⇒ 00:06:06.770 Amber Lin: Do you know how much time you have on Lilo?
46 00:06:07.600 ⇒ 00:06:15.489 Pranav Narahari: Yeah, I, I know approximately… actually, that’s something I need to clear with Luton, but it’s over 30 hours.
47 00:06:15.650 ⇒ 00:06:20.330 Pranav Narahari: This is basically, like, my, like, full-time client.
48 00:06:20.330 ⇒ 00:06:20.970 Amber Lin: Gotcha.
49 00:06:21.430 ⇒ 00:06:33.009 Amber Lin: Yeah, and I remember we wanted about 5 hours of your time on Andy, so it probably is, say, 30 to 35, and 5 on ABC.
50 00:06:33.480 ⇒ 00:06:34.819 Pranav Narahari: Yeah, that sounds right.
51 00:06:35.010 ⇒ 00:06:44.500 Amber Lin: Yeah. And… I guess, Mustafa, Casey, and Shoshi, do you guys know how much time you have on
52 00:06:44.780 ⇒ 00:06:47.260 Amber Lin: Your own clients?
53 00:06:48.420 ⇒ 00:06:50.920 Sheshu Chandrasekar: Yeah, so I’m actually part of the ops team, so…
54 00:06:51.880 ⇒ 00:06:59.010 Sheshu Chandrasekar: I guess… I don’t have, like, an allocated amount of hours for operations, so that’s a really good point that you bring up.
55 00:06:59.840 ⇒ 00:07:02.949 Amber Lin: I see. That’s good. Okay.
56 00:07:03.150 ⇒ 00:07:07.710 Amber Lin: How… since we’re on the ops team, do you know if ops have been…
57 00:07:07.890 ⇒ 00:07:10.259 Amber Lin: Updating these hours, or is that.
58 00:07:10.260 ⇒ 00:07:23.450 Sheshu Chandrasekar: No, that’s a… yeah, and that’s exactly what I was talking to Pranav about. Maybe it’s not really a systems problem, it’s more like a… like a guidelines, like, problem that we need to start implementing, saying, like, maybe every week we…
59 00:07:23.710 ⇒ 00:07:30.919 Sheshu Chandrasekar: Like, estimate… you guys estimate, like, how many hours you need per client, and you just input into operating, so everything’s up to date.
60 00:07:31.240 ⇒ 00:07:33.580 Sheshu Chandrasekar: But I could be totally wrong here, so…
61 00:07:33.600 ⇒ 00:07:48.260 Amber Lin: Yeah, I think we can… let’s start doing that today. Let’s input in what we know, and what’s left, then we can confirm in our ops meeting. I think either end of this week or next week.
62 00:07:48.330 ⇒ 00:07:58.210 Amber Lin: So Pranav, I just added you on ABC, so you should see your hours get updated on the…
63 00:07:58.520 ⇒ 00:08:03.299 Amber Lin: Let’s see. If you click on this button.
64 00:08:03.410 ⇒ 00:08:08.680 Amber Lin: So the proj… between projects and people, you’ll be able to see
65 00:08:09.140 ⇒ 00:08:17.770 Amber Lin: On the right is per-person allocations. So, if you find your name, you should be able to see that you have two projects.
66 00:08:20.160 ⇒ 00:08:30.599 Amber Lin: allocated, so let’s add you on… let’s add you on Lilo, too. So, could you add yourself and whoever is on Lilo to that one?
67 00:08:31.080 ⇒ 00:08:35.079 Pranav Narahari: Yeah, I’m assuming it’s a deal 2.
68 00:08:35.409 ⇒ 00:08:36.019 Amber Lin: Yeah.
69 00:08:36.209 ⇒ 00:08:44.759 Amber Lin: Here, I can… I can show you on how to do it here, and then I guess, Mustavik and Casey can also see that.
70 00:08:45.529 ⇒ 00:08:46.959 Amber Lin: Can I share a screen?
71 00:08:47.290 ⇒ 00:08:48.130 Pranav Narahari: Yeah, yeah.
72 00:08:48.570 ⇒ 00:08:49.360 Amber Lin: Cool.
73 00:08:49.470 ⇒ 00:08:58.519 Amber Lin: So, I’m on this view. I found this project called Lilo, and so I’m gonna first add…
74 00:08:58.950 ⇒ 00:09:02.010 Amber Lin: You’re the AI engineer, or…
75 00:09:02.230 ⇒ 00:09:02.600 Pranav Narahari: Yeah.
76 00:09:02.600 ⇒ 00:09:05.799 Amber Lin: On this plant? Okay, so we’ll put this…
77 00:09:06.600 ⇒ 00:09:11.710 Amber Lin: I’ll put your name, and you have about 30 hours per week on this client.
78 00:09:12.040 ⇒ 00:09:16.750 Amber Lin: And you started January, started, or last… Lost it.
79 00:09:16.750 ⇒ 00:09:21.150 Pranav Narahari: I started, yeah, December, or…
80 00:09:21.150 ⇒ 00:09:28.029 Amber Lin: maybe even November? I’m not exactly sure the first day. Okay, I’ll just put December 1st, let’s say this is…
81 00:09:28.560 ⇒ 00:09:33.900 Amber Lin: Save that. I think this project’s no longer tentative, I think we’re confirmed.
82 00:09:34.270 ⇒ 00:09:47.119 Amber Lin: Let me see if I can… Edit that… Okay, so this is… Deal to…
83 00:09:48.050 ⇒ 00:09:53.309 Amber Lin: Shishu, would you know how to turn this into a confirmed project?
84 00:09:59.390 ⇒ 00:10:00.220 Amber Lin: Hmm.
85 00:10:02.580 ⇒ 00:10:04.619 Amber Lin: Okay, confirm project.
86 00:10:05.590 ⇒ 00:10:08.340 Amber Lin: Mmm… Cool.
87 00:10:09.430 ⇒ 00:10:16.630 Amber Lin: Alright, and then who else is also… could you add in the other people that’s on… We love?
88 00:10:17.100 ⇒ 00:10:21.940 Pranav Narahari: Yeah, let me do that right now. So, Casey’s on it, and then Sam’s on it.
89 00:10:23.140 ⇒ 00:10:28.639 Sheshu Chandrasekar: I have a quick question here. Are there some projects here that are already completed and closed out, or.
90 00:10:28.640 ⇒ 00:10:32.709 Amber Lin: Let’s see. We have,
91 00:10:33.110 ⇒ 00:10:48.680 Amber Lin: Yeah, I don’t know if we have a new deal with default. I think we’re having a conversation. I think same with Hydra. Let’s close out Lilo Deal 1, because we’re already in Deal 2, right? Because we renewed with them, right?
92 00:10:49.070 ⇒ 00:10:55.300 Amber Lin: Okay, so I’m gonna archive…
93 00:10:59.050 ⇒ 00:11:00.040 Amber Lin: Okay.
94 00:11:19.930 ⇒ 00:11:20.720 Amber Lin: Cool.
95 00:11:20.820 ⇒ 00:11:28.599 Amber Lin: Remo… I don’t think there’s a Remo deal anymore. I know Surface is leading the Eden OS
96 00:11:28.870 ⇒ 00:11:37.779 Amber Lin: Workstream, so, I think this will be for ops team to confirm. But, who’s the EP on Eden and Default?
97 00:11:39.190 ⇒ 00:11:42.620 Mustafa Raja: I’m, I’m a default, LGP.
98 00:11:43.070 ⇒ 00:11:46.620 Casie Aviles: Yeah, for Eden Martech, that would be me.
99 00:11:46.620 ⇒ 00:11:47.360 Amber Lin: Cool, okay.
100 00:11:47.580 ⇒ 00:11:49.859 Casie Aviles: It’s not clear, like, which one is smart.
101 00:11:49.860 ⇒ 00:11:55.500 Amber Lin: I see. Okay, what are the different work streams on, Eden? I think we might have to create…
102 00:11:55.790 ⇒ 00:11:59.490 Amber Lin: Separate ones for them, or just overall ones for them?
103 00:12:01.750 ⇒ 00:12:03.539 Casie Aviles: Yeah, let me chip.
104 00:12:04.570 ⇒ 00:12:05.340 Casie Aviles: Gotcha.
105 00:12:07.740 ⇒ 00:12:11.179 Pranav Narahari: Also, Mustafa, Casey, too, I don’t know if…
106 00:12:11.400 ⇒ 00:12:18.419 Pranav Narahari: you guys are having the same issue as me, but I’m getting an unauthorized error when I try to add people to a project that isn’t me.
107 00:12:21.360 ⇒ 00:12:21.990 Amber Lin: Hmm.
108 00:12:22.420 ⇒ 00:12:22.830 Pranav Narahari: Yeah.
109 00:12:22.830 ⇒ 00:12:26.739 Amber Lin: I think that will be a question for ops.
110 00:12:27.280 ⇒ 00:12:27.760 Pranav Narahari: Yeah.
111 00:12:27.760 ⇒ 00:12:33.110 Amber Lin: Shisha, would you know who can assign Assign that.
112 00:12:33.110 ⇒ 00:12:33.650 Pranav Narahari: Good to see you.
113 00:12:33.650 ⇒ 00:12:34.240 Amber Lin: Hold on.
114 00:12:34.730 ⇒ 00:12:37.360 Pranav Narahari: Probably Rico, that’s who I usually go to.
115 00:12:37.360 ⇒ 00:12:37.720 Amber Lin: Okay.
116 00:12:37.720 ⇒ 00:12:38.720 Pranav Narahari: appreciation.
117 00:12:38.720 ⇒ 00:12:40.799 Amber Lin: Shayshaw, I’m guessing, like, you’re still kind of, like.
118 00:12:40.800 ⇒ 00:12:42.910 Pranav Narahari: Getting acclimated to, like, operating still, right?
119 00:12:42.910 ⇒ 00:12:45.890 Sheshu Chandrasekar: Yeah, but this is actually, like.
120 00:12:46.240 ⇒ 00:12:50.960 Sheshu Chandrasekar: You guys just, like, putting everything in is just making me understand this software a little bit better.
121 00:12:51.430 ⇒ 00:12:52.230 Pranav Narahari: Perfect.
122 00:12:59.590 ⇒ 00:13:01.830 Amber Lin: Let’s see…
123 00:13:05.860 ⇒ 00:13:11.760 Casie Aviles: And for Eden, we have Martech, Strategy, and then the Primo one, Eden OS.
124 00:13:12.080 ⇒ 00:13:17.370 Amber Lin: I see. Okay. Let me put Soran here first.
125 00:13:21.780 ⇒ 00:13:29.030 Amber Lin: And sometimes I’m not… I’m not really sure what the hours are, so I’ll just put approximate. Okay.
126 00:13:29.030 ⇒ 00:13:29.400 Casie Aviles: Yeah.
127 00:13:29.400 ⇒ 00:13:36.150 Amber Lin: Let’s do… let’s do this. We can make this into…
128 00:13:40.840 ⇒ 00:13:41.730 Amber Lin: Hmm.
129 00:13:43.020 ⇒ 00:13:47.110 Amber Lin: Who’s on… who’s on each of the work streams?
130 00:13:52.890 ⇒ 00:13:56.520 Casie Aviles: You mean, like, the EPs for now, or, like, everyone?
131 00:13:56.520 ⇒ 00:14:02.030 Amber Lin: Everyone, so we can check, like, who… who’s… on what?
132 00:14:02.030 ⇒ 00:14:09.739 Casie Aviles: Yeah, so for Martech, it’s just, Zora and… Robert, and me for now.
133 00:14:10.200 ⇒ 00:14:17.290 Amber Lin: Cool. Could you add that to the project I just made? I think it’s… it’ll be called Eden…
134 00:14:18.260 ⇒ 00:14:20.609 Amber Lin: Do all three MarTech?
135 00:14:20.820 ⇒ 00:14:32.470 Amber Lin: And then I’ll edit… I think I can edit this one into… Like… Hmm.
136 00:14:46.030 ⇒ 00:14:53.920 Amber Lin: Who’s the EP on, say, strategy, and… But you don’t know.
137 00:14:53.920 ⇒ 00:15:01.549 Casie Aviles: Strategy… let me check. For strategy, I think it might be at Ashwini. I’m not sure if this…
138 00:15:01.650 ⇒ 00:15:04.409 Casie Aviles: List is updated, but yeah, it might be a Srini.
139 00:15:04.940 ⇒ 00:15:08.150 Amber Lin: I see. Is Sashrinia on this call yet?
140 00:15:09.070 ⇒ 00:15:11.130 Casie Aviles: No, I don’t think so.
141 00:15:11.130 ⇒ 00:15:13.170 Amber Lin: Is he on the invite at all?
142 00:15:15.210 ⇒ 00:15:17.750 Amber Lin: Let me check the calendar.
143 00:15:18.390 ⇒ 00:15:19.900 Casie Aviles: Yeah, he shouldn’t be.
144 00:15:20.650 ⇒ 00:15:25.229 Amber Lin: Hmm, I see. It is out of his… Time zone, it seems like.
145 00:15:26.240 ⇒ 00:15:39.370 Amber Lin: We can either separate the work streams or keep it into one. Do you have an allocated total hours for your MarTech workstream? Like, how do you manage people’s total hours?
146 00:15:40.090 ⇒ 00:15:43.570 Casie Aviles: Yeah, right now, I’m at 5 there.
147 00:15:43.750 ⇒ 00:15:44.930 Amber Lin: And I think…
148 00:15:45.110 ⇒ 00:15:46.650 Casie Aviles: Soran should be around.
149 00:15:46.980 ⇒ 00:15:49.369 Casie Aviles: 30, I guess, for that.
150 00:15:50.050 ⇒ 00:15:53.870 Casie Aviles: I think that’s… he’s working on just ABC, and he didn’t…
151 00:15:54.800 ⇒ 00:15:55.620 Amber Lin: Hmm.
152 00:15:56.130 ⇒ 00:16:00.489 Casie Aviles: Yeah, LL. I think I can… I should confirm it with him as well, but yeah, that’s…
153 00:16:00.710 ⇒ 00:16:02.639 Amber Lin: I see, I see. Okay.
154 00:16:02.740 ⇒ 00:16:10.090 Amber Lin: You know what, I’ll just… let’s just… let’s just put it into one. It’s whatever.
155 00:16:10.860 ⇒ 00:16:21.639 Amber Lin: Okay, alright, so how much time on… could you assign hours to the people here? So, Shini, we have Awash, I think Dimulotti’s not really on this project anymore.
156 00:16:21.810 ⇒ 00:16:26.419 Amber Lin: I’m gonna archive… Henry’s position…
157 00:16:26.850 ⇒ 00:16:29.339 Amber Lin: I can put my name here.
158 00:16:30.200 ⇒ 00:16:32.790 Amber Lin: And I know Greg just got added.
159 00:16:34.150 ⇒ 00:16:35.300 Amber Lin: So…
160 00:17:02.360 ⇒ 00:17:07.020 Amber Lin: Cool. Who is EPing on Hydra?
161 00:17:11.869 ⇒ 00:17:12.799 Amber Lin: Okay, we don’t.
162 00:17:12.800 ⇒ 00:17:13.690 Mustafa Raja: for default?
163 00:17:14.470 ⇒ 00:17:19.750 Amber Lin: Default, or… I asked about Hedra, but I don’t know who is EP.
164 00:17:20.690 ⇒ 00:17:23.960 Amber Lin: That’s okay. Were you able to add people on default?
165 00:17:24.579 ⇒ 00:17:31.110 Mustafa Raja: No, I don’t know the exact allocations, but it’s, for now, it’s me, Greg, and Demilade.
166 00:17:31.640 ⇒ 00:17:32.750 Amber Lin: Okay.
167 00:17:32.970 ⇒ 00:17:40.029 Amber Lin: Let’s see… Firm project.
168 00:17:40.240 ⇒ 00:17:45.999 Amber Lin: Are you able to add people on operating? Because if not, we’ll need to ask for.
169 00:17:46.000 ⇒ 00:17:48.930 Mustafa Raja: Let me, let me see if I can.
170 00:17:49.310 ⇒ 00:17:55.559 Amber Lin: Yeah, there’s a default deal 2. Do you know if you guys have renewed yet, or we’re still on deal 2?
171 00:17:55.560 ⇒ 00:18:00.159 Mustafa Raja: I think, yeah, I think we are still in the process of renewing.
172 00:18:00.740 ⇒ 00:18:03.229 Amber Lin: I see. Okay, so let’s…
173 00:18:03.400 ⇒ 00:18:07.369 Amber Lin: Let’s still put it on Deal 2, I’m gonna move the…
174 00:18:07.750 ⇒ 00:18:10.719 Mustafa Raja: Yeah, Deal 2, I think Deal 2 already has people.
175 00:18:11.390 ⇒ 00:18:16.679 Amber Lin: Yeah, could you make sure to update who’s on there and the hours? I think this is Greg.
176 00:18:17.960 ⇒ 00:18:19.690 Amber Lin: So let me add Greg.
177 00:18:20.570 ⇒ 00:18:23.639 Mustafa Raja: I think Greg is going to be in Deal 3,
178 00:18:24.360 ⇒ 00:18:28.789 Mustafa Raja: Oh, okay. Since that, that, Greg’s work stream is part of that.
179 00:18:29.290 ⇒ 00:18:30.529 Amber Lin: Gotcha, okay.
180 00:18:32.390 ⇒ 00:18:33.030 Mustafa Raja: Mmm…
181 00:18:57.370 ⇒ 00:19:00.559 Amber Lin: Cool. Are you able to add people there?
182 00:19:02.500 ⇒ 00:19:04.170 Amber Lin: Or add their hours?
183 00:19:07.660 ⇒ 00:19:08.860 Mustafa Raja: Give me a moment.
184 00:19:09.620 ⇒ 00:19:10.130 Amber Lin: Yeah.
185 00:19:18.170 ⇒ 00:19:28.189 Amber Lin: Let’s see… Oh, Prinav, on… on Lilo, who else is there? I can add the people for now.
186 00:19:28.810 ⇒ 00:19:30.500 Amber Lin: It’s Sam on Lilo.
187 00:19:30.700 ⇒ 00:19:33.560 Pranav Narahari: Yeah, Sam’s on Hilo, and Casey.
188 00:19:34.210 ⇒ 00:19:37.119 Amber Lin: Okay, so he is the…
189 00:19:37.870 ⇒ 00:19:38.810 Pranav Narahari: SO.
190 00:19:39.730 ⇒ 00:19:42.400 Amber Lin: Yeah, I’m trying to find…
191 00:19:42.400 ⇒ 00:19:44.850 Pranav Narahari: Thank you. Just passed SL, yeah.
192 00:19:44.850 ⇒ 00:19:45.709 Amber Lin: There we go.
193 00:19:47.050 ⇒ 00:19:48.940 Amber Lin: How many hours per week?
194 00:19:50.000 ⇒ 00:19:56.199 Pranav Narahari: He said that he’s, like, splitting his time, but it’s really, like, it kind of depends.
195 00:19:57.270 ⇒ 00:20:04.450 Pranav Narahari: Yeah, right now, he’s more heavily weighted towards… Yeah, so…
196 00:20:04.750 ⇒ 00:20:06.350 Amber Lin: It would say 10 per week.
197 00:20:07.260 ⇒ 00:20:10.789 Pranav Narahari: I think it’s more. I think it’s more. It’s probably, like, over…
198 00:20:11.140 ⇒ 00:20:13.279 Pranav Narahari: Like, around 20, probably. Okay. Yeah.
199 00:20:13.280 ⇒ 00:20:14.390 Amber Lin: That’s too funny.
200 00:20:14.550 ⇒ 00:20:20.729 Amber Lin: Cool. And then… Who else did you say?
201 00:20:22.090 ⇒ 00:20:24.110 Pranav Narahari: Technically, Utam is the CSO.
202 00:20:24.990 ⇒ 00:20:25.670 Amber Lin: Okay.
203 00:20:33.100 ⇒ 00:20:35.630 Amber Lin: Oh, there’s two of them in this.
204 00:20:37.340 ⇒ 00:20:45.100 Amber Lin: Let’s see… Shisha, would you mind noting down that this is something, ops might need to change?
205 00:20:45.760 ⇒ 00:20:46.540 Sheshu Chandrasekar: Cheers.
206 00:20:46.540 ⇒ 00:20:47.440 Amber Lin: Duplicate.
207 00:20:47.440 ⇒ 00:20:48.120 Sheshu Chandrasekar: times.
208 00:20:48.120 ⇒ 00:20:49.250 Amber Lin: homes, yeah.
209 00:20:49.720 ⇒ 00:20:57.770 Sheshu Chandrasekar: And a quick question for everyone here. Has everyone kind of updated their roles in the operating system… the operating platform here?
210 00:20:58.330 ⇒ 00:21:00.269 Amber Lin: What do you mean, roles?
211 00:21:00.270 ⇒ 00:21:13.340 Sheshu Chandrasekar: Like, if you’re a CSO, or EP, or, SL, like, is that auto… because right now, I see Lucas and GTM consultant, right? Or I see Robert as blank. If we can get that standardized…
212 00:21:13.940 ⇒ 00:21:15.510 Sheshu Chandrasekar: I see. It’s very, very helpful.
213 00:21:15.770 ⇒ 00:21:32.419 Amber Lin: I don’t think, this… I think this is based on what you assign the role inside a client. So, for example, here, if I assign Utom as a CSO, then he also gets, like, a CSO updated. So I guess this is the UTAM that…
214 00:21:32.610 ⇒ 00:21:34.229 Amber Lin: We should be using?
215 00:21:34.380 ⇒ 00:21:45.070 Amber Lin: So, for example, I think for… for me, one of my projects, I haven’t updated it, so I’m still technically a project manager there, so it gives me the different…
216 00:21:45.470 ⇒ 00:21:50.339 Amber Lin: Titles based on… what I’m assigned on projects, I believe.
217 00:21:51.120 ⇒ 00:21:51.870 Sheshu Chandrasekar: Gotcha.
218 00:21:52.230 ⇒ 00:21:52.810 Amber Lin: Yeah.
219 00:21:54.150 ⇒ 00:21:55.910 Amber Lin: So I think…
220 00:21:56.140 ⇒ 00:22:11.480 Amber Lin: Our to-dos are, one, make sure all the EPs have the right permissions to add people here. Two, update all the hours, and then three, make sure we have all the CSOs, SLs, EPs listed properly.
221 00:22:13.600 ⇒ 00:22:22.669 Amber Lin: Okay, checking back, Casey, Mustafa, are you able to add people, or are you facing the same problem as Pranav?
222 00:22:22.840 ⇒ 00:22:24.270 Mustafa Raja: I, I’m able to…
223 00:22:24.270 ⇒ 00:22:25.530 Casie Aviles: Yeah, enable that.
224 00:22:25.880 ⇒ 00:22:30.779 Amber Lin: Okay, that’s good. Were you able to add everybody’s assignments on your team?
225 00:22:31.270 ⇒ 00:22:33.950 Mustafa Raja: Yeah, I don’t know,
226 00:22:34.750 ⇒ 00:22:39.680 Mustafa Raja: The, the hours, you know, allocated hours for my team, you know.
227 00:22:40.510 ⇒ 00:22:43.100 Amber Lin: What team are you on, your own default?
228 00:22:43.100 ⇒ 00:22:52.100 Mustafa Raja: Yeah, so I don’t know how many hours Greg or Demiladi will be spending, but for now, for placeholder, I’ve added 10.
229 00:22:52.790 ⇒ 00:22:58.489 Amber Lin: I see. Which one did you add on the
230 00:22:58.850 ⇒ 00:23:02.860 Amber Lin: Because I’m looking at default, maybe I’m not refreshed. Let me see again.
231 00:23:02.860 ⇒ 00:23:05.670 Mustafa Raja: I’m adding… I added that on 3.
232 00:23:06.400 ⇒ 00:23:07.100 Amber Lin: Okay.
233 00:23:07.820 ⇒ 00:23:13.149 Amber Lin: Alright, is STEMA having 50 hours?
234 00:23:14.320 ⇒ 00:23:14.810 Mustafa Raja: Mmm.
235 00:23:15.480 ⇒ 00:23:18.820 Amber Lin: How much is it gonna be? Is it more like 20?
236 00:23:18.820 ⇒ 00:23:20.350 Mustafa Raja: It’s going to be 10, yeah.
237 00:23:20.350 ⇒ 00:23:24.059 Amber Lin: Okay, let’s do 10. I think, maybe you had a…
238 00:23:24.490 ⇒ 00:23:38.040 Amber Lin: Let’s do another one I’ll show you. So, if I want to edit, say, how much your time is on here, I’ll click on your name. I’ll say Edit Position, and then I’ll look at,
239 00:23:38.380 ⇒ 00:23:42.779 Amber Lin: Interesting. Okay, nevermind. I’ll click on this. I’ll click on the hour.
240 00:23:42.780 ⇒ 00:23:43.360 Mustafa Raja: here.
241 00:23:43.360 ⇒ 00:23:52.000 Amber Lin: Click Edit, and then we can see, mine here says hours per week, you can edit that, so if you have 10 hours per week, you’ll do that.
242 00:23:52.120 ⇒ 00:24:04.509 Amber Lin: And then, if you need to change how this shows up, I’d like to see it as per week. You would go to here, go to Settings, and then just pick how you want it to show up.
243 00:24:04.940 ⇒ 00:24:05.800 Mustafa Raja: Okay.
244 00:24:06.230 ⇒ 00:24:06.940 Mustafa Raja: Thank you.
245 00:24:07.250 ⇒ 00:24:15.539 Amber Lin: So… Did you also add the… So, what is his role?
246 00:24:16.750 ⇒ 00:24:26.840 Amber Lin: Use the DE… Did you add, like, the SLCSO… Different roles on there.
247 00:24:27.480 ⇒ 00:24:28.650 Mustafa Raja: No…
248 00:24:29.620 ⇒ 00:24:30.350 Amber Lin: Okay.
249 00:24:30.350 ⇒ 00:24:32.569 Mustafa Raja: Are the rules available to add?
250 00:24:32.730 ⇒ 00:24:40.590 Amber Lin: I think they are. So, for example, here, I’m gonna… Add Sam’s time.
251 00:24:53.680 ⇒ 00:25:00.689 Amber Lin: So, I believe… If you click on Edit Position, you can check.
252 00:25:02.240 ⇒ 00:25:03.100 Amber Lin: And I’m gonna…
253 00:25:03.100 ⇒ 00:25:04.210 Mustafa Raja: Oh, okay, okay.
254 00:25:04.210 ⇒ 00:25:04.770 Amber Lin: Here.
255 00:25:06.020 ⇒ 00:25:06.730 Mustafa Raja: Okay.
256 00:25:07.870 ⇒ 00:25:08.410 Amber Lin: Yeah.
257 00:25:08.600 ⇒ 00:25:11.950 Mustafa Raja: So, for default, we’ll have two service leaders.
258 00:25:21.170 ⇒ 00:25:23.030 Mustafa Raja: Oh, there are two robots.
259 00:25:24.160 ⇒ 00:25:30.890 Amber Lin: Yeah, I think Robert and Utsom, when they imported from HubSpot, it made a duplicate.
260 00:25:31.320 ⇒ 00:25:38.279 Amber Lin: For them, so, I think ops will be able to change that.
261 00:25:39.740 ⇒ 00:25:40.450 Amber Lin: Cool.
262 00:25:41.540 ⇒ 00:25:47.239 Amber Lin: So I’ll just say… I’ll just say you have, like, 10 hours.
263 00:25:47.470 ⇒ 00:25:48.020 Amber Lin: On April.
264 00:25:48.020 ⇒ 00:25:48.650 Mustafa Raja: Oh, for everything?
265 00:25:48.880 ⇒ 00:25:50.160 Amber Lin: Is that accurate?
266 00:25:54.850 ⇒ 00:25:56.160 Mustafa Raja: Yeah, that sounds good.
267 00:25:56.750 ⇒ 00:25:59.299 Amber Lin: Okay, let me check your… your time.
268 00:25:59.520 ⇒ 00:26:03.489 Amber Lin: So you have 10 on ANDI, 10 on default.
269 00:26:03.680 ⇒ 00:26:08.929 Amber Lin: Is that… is that all your allocations? Or are you spending more time somewhere else?
270 00:26:09.540 ⇒ 00:26:13.419 Mustafa Raja: It’s going to be some, in internal also.
271 00:26:14.210 ⇒ 00:26:15.300 Amber Lin: Okay.
272 00:26:17.300 ⇒ 00:26:20.340 Mustafa Raja: And for EP, for… for each,
273 00:26:20.760 ⇒ 00:26:25.100 Mustafa Raja: When I’m working on something like a Notion organization, should I just log that in?
274 00:26:25.460 ⇒ 00:26:27.000 Mustafa Raja: In the client side?
275 00:26:28.340 ⇒ 00:26:32.210 Amber Lin: that’s what I have been doing.
276 00:26:32.630 ⇒ 00:26:42.580 Amber Lin: Because I don’t really know if there’s somewhere else to organize it, and it’s also for the clients. Maybe ask that in the EP channel, that would be helpful.
277 00:26:42.920 ⇒ 00:26:48.550 Amber Lin: And Casey, you have 20 hours on ABC as well?
278 00:26:49.560 ⇒ 00:26:51.959 Casie Aviles: Yeah, that was the initial allocation for me there.
279 00:26:51.960 ⇒ 00:26:56.770 Amber Lin: Okay, cool. No, I’ll say you have 5 hours.
280 00:27:05.930 ⇒ 00:27:07.230 Amber Lin: Mmm…
281 00:27:07.230 ⇒ 00:27:10.509 Casie Aviles: Oh, I think it’s with the dates, there’s, like, an overlap.
282 00:27:10.510 ⇒ 00:27:11.200 Amber Lin: Yeah.
283 00:27:11.400 ⇒ 00:27:11.910 Casie Aviles: Correct.
284 00:27:11.910 ⇒ 00:27:17.590 Amber Lin: I see. Anam, do you have 30 or 40 hours total?
285 00:27:18.170 ⇒ 00:27:19.860 Pranav Narahari: This should be 40.
286 00:27:20.140 ⇒ 00:27:22.200 Amber Lin: Okay, so let’s edit that.
287 00:27:24.210 ⇒ 00:27:27.109 Pranav Narahari: Yeah, this is another thing that I wasn’t able to edit myself, so yeah.
288 00:27:27.110 ⇒ 00:27:28.290 Amber Lin: Oh, I see.
289 00:27:28.740 ⇒ 00:27:29.090 Pranav Narahari: load.
290 00:27:29.090 ⇒ 00:27:33.100 Amber Lin: Rico, get back to you on… on access.
291 00:27:34.070 ⇒ 00:27:37.540 Pranav Narahari: No, let me message him now. I didn’t, I didn’t message him, I was gonna do it after.
292 00:27:37.620 ⇒ 00:27:38.380 Amber Lin: Yeah.
293 00:27:41.070 ⇒ 00:27:44.339 Amber Lin: Let’s do that so we can… we’ll just get it out of the way.
294 00:27:44.640 ⇒ 00:27:45.869 Pranav Narahari: Yeah, good call.
295 00:27:45.870 ⇒ 00:27:51.719 Amber Lin: And I’ll add, I’ll get that new tongue.
296 00:27:54.730 ⇒ 00:27:59.469 Amber Lin: Why is there two, and they’re not spelled different? Okay.
297 00:29:24.730 ⇒ 00:29:26.990 Amber Lin: Okay.
298 00:29:27.770 ⇒ 00:29:30.410 Amber Lin: Well, it seems that I can’t merge…
299 00:29:31.220 ⇒ 00:29:37.130 Amber Lin: These two… oh, I merged them. Okay, so I’ll also merge robbers allocations.
300 00:29:39.130 ⇒ 00:29:40.000 Amber Lin: Hmm…
301 00:29:43.600 ⇒ 00:29:53.119 Amber Lin: Shayju, would you know the internal team’s allocations for, say, for operations, for marketing, design, and…
302 00:29:53.630 ⇒ 00:29:57.099 Amber Lin: those folks. Would you know their allocations?
303 00:29:57.390 ⇒ 00:29:59.220 Sheshu Chandrasekar: No, not really, because it’s…
304 00:30:00.250 ⇒ 00:30:08.299 Sheshu Chandrasekar: like, for me, like, I’ll do 4 or 5 hours of operations work, but I do, like, different things, so it’s not like,
305 00:30:08.960 ⇒ 00:30:14.350 Sheshu Chandrasekar: Maybe, maybe that’s something I need to think about, like, for operations, because, like, what kind of initiatives we’re working under?
306 00:30:14.580 ⇒ 00:30:19.459 Sheshu Chandrasekar: But for a go-to-market side of things and sales, I’m not entirely sure.
307 00:30:20.120 ⇒ 00:30:24.799 Sheshu Chandrasekar: Exactly, like, what kind of initiatives they would… they would map out and operate.
308 00:30:24.800 ⇒ 00:30:26.559 Amber Lin: I see. Okay.
309 00:30:28.260 ⇒ 00:30:32.420 Sheshu Chandrasekar: No, no, that’s a good question. I think that’s something I’ll have to tick back to the team and figure out exactly…
310 00:30:33.050 ⇒ 00:30:38.009 Sheshu Chandrasekar: But initiatives to, like, kind of map out for operations and GTM and stuff like that.
311 00:30:38.010 ⇒ 00:30:47.230 Amber Lin: Or, let’s see what we have here. So, let’s confirm for your clients, have you all added…
312 00:30:47.760 ⇒ 00:30:53.179 Amber Lin: Let’s see… Everybody in your class that’s available.
313 00:30:56.210 ⇒ 00:30:59.689 Amber Lin: So, I know I’ve added for ABC.
314 00:31:00.200 ⇒ 00:31:05.079 Amber Lin: Let’s see, 4… C1, 4…
315 00:31:07.220 ⇒ 00:31:09.870 Mustafa Raja: I wasn’t able to add, a wish here.
316 00:31:10.010 ⇒ 00:31:11.129 Mustafa Raja: Oh, a service lead.
317 00:31:11.130 ⇒ 00:31:13.049 Amber Lin: On… on default?
318 00:31:13.050 ⇒ 00:31:14.300 Mustafa Raja: Then you have deal 3.
319 00:31:14.640 ⇒ 00:31:17.749 Amber Lin: Okay, let me… let me just archive the old 2.
320 00:31:21.970 ⇒ 00:31:22.860 Amber Lin: Alright.
321 00:31:33.150 ⇒ 00:31:35.040 Amber Lin: Could you add a wish there?
322 00:31:38.200 ⇒ 00:31:43.689 Amber Lin: Cool. Deal to… Who is EPing on Element?
323 00:31:51.880 ⇒ 00:31:52.380 Amber Lin: Okay.
324 00:31:52.380 ⇒ 00:31:55.409 Casie Aviles: Ashwini as well, basically.
325 00:31:56.030 ⇒ 00:31:58.589 Amber Lin: I see, so that’s his.
326 00:31:58.800 ⇒ 00:32:04.909 Amber Lin: Soon he’s also on Heathra. And for Eden…
327 00:32:05.420 ⇒ 00:32:11.369 Amber Lin: We’re gonna have to… Kizi, could you also add, I think, Robert?
328 00:32:12.120 ⇒ 00:32:12.650 Casie Aviles: Listen.
329 00:32:12.650 ⇒ 00:32:13.820 Amber Lin: your CSO.
330 00:32:16.300 ⇒ 00:32:21.670 Amber Lin: Cool. And then Lilo, we have… Cool.
331 00:32:23.100 ⇒ 00:32:26.700 Amber Lin: Do we know anything about Magic Spoon, README?
332 00:32:31.620 ⇒ 00:32:32.830 Amber Lin: Okay, we don’t.
333 00:32:33.540 ⇒ 00:32:43.100 Amber Lin: I’m gonna archive Remo… Alright, let’s… So far, so good.
334 00:32:43.100 ⇒ 00:32:43.420 Mustafa Raja: me.
335 00:32:43.420 ⇒ 00:32:45.899 Amber Lin: Write down the to-dos.
336 00:32:46.910 ⇒ 00:32:48.110 Amber Lin: Boom.
337 00:32:49.490 ⇒ 00:32:51.560 Amber Lin: Sorry, you had a question?
338 00:32:52.370 ⇒ 00:32:59.189 Mustafa Raja: Yeah, could you try, try to add, evasion deal 3 for default? I wasn’t able to.
339 00:32:59.570 ⇒ 00:33:00.960 Amber Lin: Oh, let me see…
340 00:33:04.310 ⇒ 00:33:05.800 Amber Lin: default.
341 00:33:08.980 ⇒ 00:33:10.520 Mustafa Raja: He’s service lead here.
342 00:33:12.700 ⇒ 00:33:16.250 Amber Lin: And he has… How many hours?
343 00:33:17.400 ⇒ 00:33:23.119 Mustafa Raja: I’d say 5, but, mostly it’s just going to be on stand-ups.
344 00:33:24.490 ⇒ 00:33:29.480 Amber Lin: I see. I’ll do Elder 3 for now. We’ll update it later.
345 00:33:31.230 ⇒ 00:33:31.890 Mustafa Raja: Rocky.
346 00:33:31.890 ⇒ 00:33:45.420 Amber Lin: Thank you. Cool. Let’s go here on the AP side. So, went through operating and… ends today.
347 00:33:45.780 ⇒ 00:34:00.140 Amber Lin: To-dos, we have one… Esa… EPs need… Better access to operating…
348 00:34:09.010 ⇒ 00:34:14.489 Amber Lin: And then… What else?
349 00:34:14.750 ⇒ 00:34:18.960 Amber Lin: Need to confirm… Ashwini’s…
350 00:34:22.570 ⇒ 00:34:42.720 Amber Lin: Projects… Locations… When we meet with, ops on Friday… Nature review all projects together.
351 00:34:43.270 ⇒ 00:34:51.450 Amber Lin: internal teams need applications.
352 00:34:52.500 ⇒ 00:34:54.479 Amber Lin: Also for ops teams.
353 00:35:00.540 ⇒ 00:35:01.490 Amber Lin: Let’s see…
354 00:35:05.040 ⇒ 00:35:06.060 Amber Lin: Cool.
355 00:35:06.480 ⇒ 00:35:11.820 Amber Lin: Okay, is that all the to-dos? Anything else we mentioned here?
356 00:35:16.350 ⇒ 00:35:21.640 Mustafa Raja: Yeah, things like notional organizers, so it’s not a to-do, but a question.
357 00:35:21.790 ⇒ 00:35:22.700 Mustafa Raja: I see.
358 00:35:22.700 ⇒ 00:35:23.330 Amber Lin: Okay.
359 00:35:23.330 ⇒ 00:35:25.009 Mustafa Raja: Yeah, so…
360 00:35:25.010 ⇒ 00:35:33.720 Amber Lin: Sometime. We… we can look at that right… right now. Let me see how much time we have left. Okay, we have, like, 20 minutes. We can do that together.
361 00:35:33.950 ⇒ 00:35:40.169 Amber Lin: We sent this, just to confirm, Casey Mustavo Pranov.
362 00:35:40.320 ⇒ 00:35:44.919 Amber Lin: Do you all have access? What level of access do you have? What do you need?
363 00:35:46.930 ⇒ 00:35:59.910 Pranav Narahari: Yeah, I would say I do. I think, having operating set up like this helps a little bit. One thing that I think is still pending is just, like, knowing how on track we are in terms of hours.
364 00:35:59.910 ⇒ 00:36:02.630 Amber Lin: So, let’s say, for whatever reason, like.
365 00:36:02.680 ⇒ 00:36:08.499 Pranav Narahari: We have more hours, or less hours, and we need to, you know.
366 00:36:08.720 ⇒ 00:36:14.990 Pranav Narahari: just change up the scope for what we do that week, or the following few weeks. I think that’s still…
367 00:36:15.160 ⇒ 00:36:19.229 Pranav Narahari: that’s still pending, but I don’t think that’s something we can do with an operating…
368 00:36:19.950 ⇒ 00:36:20.390 Casie Aviles: I see.
369 00:36:20.390 ⇒ 00:36:33.239 Amber Lin: Cool, let me show you that as well. So, I think we have one for Notion, one for that, and I think the keeping hours on track has always been a hard task, and honestly, I haven’t been doing a great job
370 00:36:33.380 ⇒ 00:36:34.540 Amber Lin: of that.
371 00:36:34.540 ⇒ 00:36:36.950 Sheshu Chandrasekar: Yeah, so speaking of which.
372 00:36:37.340 ⇒ 00:36:46.310 Sheshu Chandrasekar: Well, I’m so curious, like, is… would the Gantt chart that you manage be a better source of truth when it comes to, like, figuring out resource hours, or…
373 00:36:46.440 ⇒ 00:36:51.039 Sheshu Chandrasekar: Or do you still think operating has some sort of value here?
374 00:36:52.100 ⇒ 00:36:55.649 Amber Lin: When you say resource hours, what are you referring to?
375 00:36:55.650 ⇒ 00:36:57.949 Sheshu Chandrasekar: Like, how many hours you’re working per project?
376 00:36:59.010 ⇒ 00:37:01.370 Sheshu Chandrasekar: Yeah, I see. Yeah.
377 00:37:01.400 ⇒ 00:37:15.840 Amber Lin: In my personal opinion, I feel like the Gantt charts are more so, overall for this project, how does it move forward? I haven’t really been using who’s assigned to which. We usually deal with assignments in
378 00:37:15.910 ⇒ 00:37:30.339 Amber Lin: linear to… to finalize it, because sometimes we’ll look at, okay, something rolled over, you have a lot this week, this person has a lighter load on other projects, let’s move this over so Pranav can take over a little bit from Casey this week.
379 00:37:30.360 ⇒ 00:37:45.140 Amber Lin: So I usually do that there. I would like to look at capacity from the clockify hour tracking, assuming that we still track that properly. We used to have a…
380 00:37:45.700 ⇒ 00:37:55.260 Amber Lin: Omni dashboard that we used to use to track, actual hours. Let me try and find that. We haven’t used it, because it…
381 00:37:55.260 ⇒ 00:38:07.140 Amber Lin: it was… it was hard to do, when we didn’t have too many people managing projects, but I think after, like, that’s something we will pull up soon, so…
382 00:38:07.190 ⇒ 00:38:09.270 Amber Lin: Let me try and find that.
383 00:38:09.510 ⇒ 00:38:15.589 Amber Lin: Me and Mustafa worked on it before, so let’s see…
384 00:38:15.590 ⇒ 00:38:25.710 Sheshu Chandrasekar: Gotcha, and does everyone else use… does everyone else use the linear as a form of source of truth, or do you guys have your own system that works better for you guys?
385 00:38:29.810 ⇒ 00:38:31.610 Pranav Narahari: Yeah, I use linear as well.
386 00:38:32.570 ⇒ 00:38:33.370 Sheshu Chandrasekar: Got it.
387 00:38:35.140 ⇒ 00:38:35.700 Amber Lin: Here.
388 00:38:36.020 ⇒ 00:38:46.899 Sheshu Chandrasekar: Yeah, because, I mean, it doesn’t make sense for you to go into operating and do this every time if linear is, like, the source of truth as well, right? So… but I also do understand
389 00:38:47.460 ⇒ 00:38:56.350 Sheshu Chandrasekar: And correct me if I’m wrong here, I don’t know if linear allows… shows you, like, your team members, like, amount of hours that you have per project, right?
390 00:38:56.350 ⇒ 00:39:09.850 Amber Lin: Yeah, totally. So I think this will help us understand how we used to use our tools. Of course, I think we can discuss how… what is better, given this new structure. I think when we… before, when we had the PMs managing
391 00:39:09.870 ⇒ 00:39:22.099 Amber Lin: different things. So, operating was for allocations, and the cadence of updating that was, say, every month. We’ll do it allocations, and we’ll use that to calculate, okay, how much are we
392 00:39:22.140 ⇒ 00:39:26.059 Amber Lin: Over… over its budget, how much…
393 00:39:26.130 ⇒ 00:39:32.979 Amber Lin: And then we can use that to benchmark against ideal hours, meaning, say, we have a,
394 00:39:33.230 ⇒ 00:39:41.379 Amber Lin: say, a goal billable rate, and that somewhat tells us the margins on each project. And of course, I think that’s…
395 00:39:41.480 ⇒ 00:39:55.940 Amber Lin: too far ahead to think right now, but overall, I think operating is just for allocations, setting a goal, knowing who has more capacity is more of a high-level planning thing, and then linear is, okay, day-to-day.
396 00:39:55.940 ⇒ 00:40:09.399 Amber Lin: Who owns this, who has, you know, look at your own tickets, look at how many tickets we have this week, say, per cycle, and then I think the Gantt chart is more project roadmap. So, I do think there…
397 00:40:09.460 ⇒ 00:40:11.030 Amber Lin: Three separate things.
398 00:40:11.940 ⇒ 00:40:12.710 Sheshu Chandrasekar: Got it.
399 00:40:13.310 ⇒ 00:40:31.560 Amber Lin: Yeah. When we built this, we had it per client, so we had, weekly revenue, some… so this is either monthly or weekly, based on the hours and our billable rate. We have the total hours based on… this is synced with Clockify.
400 00:40:31.900 ⇒ 00:40:47.729 Amber Lin: the goal hours, based on a $150 per hour goal rate, but I don’t know if that has changed. And of course, then we have the calculated margins. So, I think something would be… that would be helpful.
401 00:40:48.110 ⇒ 00:40:55.400 Amber Lin: Let’s see… This is old, so I don’t know if things are… Updated.
402 00:40:56.240 ⇒ 00:40:58.840 Amber Lin: I guess, but for, for example.
403 00:40:59.050 ⇒ 00:41:10.040 Amber Lin: Like, this week, we can see for the hours who has logged their time in total, how much, we had on this.
404 00:41:10.210 ⇒ 00:41:24.030 Amber Lin: on this project. And then, if we had all the projects properly logged in Clockify, we can compare that to operating to say, okay, so default we had, this many hours allocated.
405 00:41:24.410 ⇒ 00:41:29.740 Amber Lin: we spend this much time on Clockify, and if this were to update
406 00:41:29.890 ⇒ 00:41:36.110 Amber Lin: daily, then as EPs, I think we can have a general sense of what is going on.
407 00:41:38.760 ⇒ 00:41:40.309 Sheshu Chandrasekar: Don was here.
408 00:41:40.310 ⇒ 00:41:44.859 Amber Lin: Yeah, and then, say, for now, if we can’t do that, then I think…
409 00:41:45.130 ⇒ 00:41:52.799 Amber Lin: Clockify is a good place to track that. Do you guys know how to look at everybody’s hours in Clockify?
410 00:41:55.900 ⇒ 00:41:58.459 Sheshu Chandrasekar: I didn’t even know you could… you could do that, but…
411 00:41:58.460 ⇒ 00:42:03.080 Amber Lin: I see. You might need the right permissions to do that, so that’s something.
412 00:42:03.080 ⇒ 00:42:05.609 Sheshu Chandrasekar: Oh, okay. We should also…
413 00:42:05.610 ⇒ 00:42:10.240 Amber Lin: Yeah, we should also ask the…
414 00:42:10.770 ⇒ 00:42:27.860 Amber Lin: the ops team, but for example, if you were to have access, it would be here, so I’ll just… I’ll show you where it is. If you do have access, it’ll be in analyze, it’ll be either in dashboards or reports, and then once you’re here, you can select
415 00:42:27.970 ⇒ 00:42:43.510 Amber Lin: the time frame to view. If you want to look at reports, you can say, I want, this specific client, and then I want… I want these people. You can change the views here. So you can get a general sense of, okay, how much time has been spent
416 00:42:43.590 ⇒ 00:42:56.619 Amber Lin: On this project this week, how far we are. And of course, you can always just ask your team, say, hey, it’s… I used to do this on Wednesday, I’ll ask, hey, team,
417 00:42:57.320 ⇒ 00:43:16.960 Amber Lin: And Monday, I say, okay, team, this is our allocated hours this week. You have 10, you have 10, you have 5. And on Wednesday, I ask, okay, everybody, how long have you spent on this client? And usually, since it’s still midweek, people still sort of remember how much they have spent. So you take their hours and see, okay, we’re midweek.
418 00:43:17.000 ⇒ 00:43:22.679 Amber Lin: we might… we still have these tasks, do we have enough time? So, I think that’s a simple way to start.
419 00:43:24.100 ⇒ 00:43:31.919 Sheshu Chandrasekar: Got it. So, you’re saying Clockify can kind of be like, hey, like, I’m spending X hours on ABC, right? And then…
420 00:43:32.800 ⇒ 00:43:44.689 Sheshu Chandrasekar: Pranat would go in, he’d be like, okay, midweek I only spent this many hours. So it… it gives you, like, the projected, and then the actual in one platform. That’s what Clockify can really help… help you guys out with, right?
421 00:43:44.790 ⇒ 00:43:46.860 Amber Lin: What do you mean, projected?
422 00:43:47.560 ⇒ 00:43:57.580 Sheshu Chandrasekar: Projected meaning, like… so, like, let’s say for ABC this week, you need to spend 10 hours, but you only… you only spent 8 hours. Can we do all that tracking, and then
423 00:43:58.020 ⇒ 00:44:02.270 Sheshu Chandrasekar: estimation in Clockify versus using operating.
424 00:44:02.550 ⇒ 00:44:18.010 Amber Lin: I see. So, when you talk about actuals and estimated, so estimated is going to be an operating, because that’s what… that’s the goal you want to have. Clockify only has whatever you have logged, so it’s everything in the past, so what has happened, so that’s the actual hours.
425 00:44:19.380 ⇒ 00:44:25.139 Sheshu Chandrasekar: Right. And I’m just asking because I’m trying to figure out, like, Is operating any…
426 00:44:25.390 ⇒ 00:44:29.900 Sheshu Chandrasekar: much of a use if Clockify allows us to project ahead, like…
427 00:44:30.030 ⇒ 00:44:43.570 Amber Lin: I don’t think it allows us to project ahead. I know Uten was talking with people from operating. They also had a time tracking feature. We have wanted to move towards Operating’s time tracking so we can have
428 00:44:43.590 ⇒ 00:44:58.779 Amber Lin: the actuals and estimate it in one place, like, what you wanted. So, like, if you guys think that’s a better way to track time, it doesn’t make a difference for me at all to track it in operating versus here. It might make things a lot easier.
429 00:44:58.780 ⇒ 00:45:05.219 Sheshu Chandrasekar: Yeah, that’s what I’m trying to figure out, right? Like, I don’t… it seems like there’s gonna be, like, double, triple entry at this point.
430 00:45:05.220 ⇒ 00:45:05.680 Amber Lin: Hmm.
431 00:45:05.680 ⇒ 00:45:10.120 Sheshu Chandrasekar: And if we can reduce that to a single source, that would be…
432 00:45:10.230 ⇒ 00:45:13.000 Sheshu Chandrasekar: That’d be easier for everyone, right? So we don’t have to.
433 00:45:13.000 ⇒ 00:45:26.860 Amber Lin: Yeah, feel free to… if Utam or Robert, whoever is on ops agrees on that, and we push that through with the company, I, like, I personally think that will make our… especially the EP’s lives easier.
434 00:45:27.200 ⇒ 00:45:28.179 Sheshu Chandrasekar: Yeah, cause…
435 00:45:28.280 ⇒ 00:45:33.989 Sheshu Chandrasekar: what I’m thinking is, like, yes, once we nail down the platform, it just becomes a behavioral,
436 00:45:34.280 ⇒ 00:45:47.139 Sheshu Chandrasekar: kind of, like, discipline, right? It’s like, every Monday you go in and you submit your hours and stuff like that. So, yeah, I think, I’ll bring that up with Utam and Clarence and everyone, and figure out, like, what’s the best forward.
437 00:45:47.320 ⇒ 00:45:57.900 Sheshu Chandrasekar: path here, but just wanted to get your opinion, because, like, obviously you guys are the ones that are on the front lines, you know, working with the client directly, so anything to make your job easier, like, we’re all for it.
438 00:45:58.740 ⇒ 00:46:01.469 Amber Lin: Awesome. Yeah, I look forward to hearing from that.
439 00:46:01.580 ⇒ 00:46:07.689 Amber Lin: Yeah. Mustafa, I remember you wanted to talk about Notion. Oh, sorry.
440 00:46:08.310 ⇒ 00:46:13.580 Clarence Stone: Which one of the platforms did you prefer, Gantt or Operate, to.
441 00:46:13.580 ⇒ 00:46:14.559 Amber Lin: Or what?
442 00:46:14.560 ⇒ 00:46:15.430 Clarence Stone: for demand.
443 00:46:15.920 ⇒ 00:46:26.170 Amber Lin: I don’t think we really log our hours, per se, on Gantt. From my perspective, we use Gantt mostly to see how tasks
444 00:46:26.190 ⇒ 00:46:38.889 Amber Lin: progress throughout time. So sometimes it’s important for us to see, oh, these things have certain dependencies, and of course, we can enter the time estimate there, but those are…
445 00:46:38.930 ⇒ 00:46:52.749 Amber Lin: more rough estimates, and operating is even more high level. It doesn’t really care about what tasks you do, it’s mostly, hey, to be profitable, or to function as a company, like, how much time should we
446 00:46:52.850 ⇒ 00:47:03.850 Amber Lin: enter on each project. I don’t know if that’s clear. So once more, like, Gantt to me is very task-oriented, and operating is mostly people-oriented.
447 00:47:03.850 ⇒ 00:47:18.740 Clarence Stone: Yeah, so just to double check, like, the process should be that you build out your project approach with all the things you have to do in the project, and then take a look at all the things that… I don’t know, like, I’ll just use mine, right? Let’s just say, like.
448 00:47:18.950 ⇒ 00:47:28.530 Clarence Stone: as Clarence on ABC, these are the, you know, the 5 or 6 tasks that I probably have to do for this whole project. I can look at that and say, like, that’s probably going to take me 10 hours.
449 00:47:28.650 ⇒ 00:47:35.660 Clarence Stone: I should add 10 hours into operate and allocate that till the end of the engagement, right? Because then, like.
450 00:47:35.680 ⇒ 00:47:49.360 Clarence Stone: doing the Gantt exercise allows me to understand what my time demand on the project is going to be. So, I just want to double check that you’re saying that these two things are a little bit interrelated. One is a project timeline, the other is an individual timeline.
451 00:47:50.320 ⇒ 00:48:11.469 Amber Lin: Yes, I would say so. And once you map it out on the Gantt, say you’re not directly working on this client, but say you’re a service lead coming to plan the project, you may assign it to another data analyst, it doesn’t have to be you. So, in that case, you know, okay, this requires 10 hours of data analyst work.
452 00:48:11.470 ⇒ 00:48:14.830 Amber Lin: I’m gonna see who in operating has
453 00:48:14.830 ⇒ 00:48:21.040 Amber Lin: say, oh, this person has 5 hours, this person has 5 hours, so we’re gonna put both of these analysts on ABC.
454 00:48:21.940 ⇒ 00:48:38.769 Clarence Stone: Okay, we’re on the same wavelength, Amber. I think then the next question that I have, and, you know, I’ve been having a side conversation with you, Tom, throughout this whole call about this, is why don’t we just create an automation somehow that allows us to transfer over that time demand
455 00:48:38.810 ⇒ 00:48:41.950 Clarence Stone: Right? And staffing from Gantt over to…
456 00:48:42.060 ⇒ 00:48:57.100 Clarence Stone: operate. Like, if we know that these three people are gonna be a part of this project, like, there should be entries there, even if it’s not accurate, you know, time as, predictions, right? Because, like, the worst part about Operate is there’s so many freaking inputs.
457 00:48:57.170 ⇒ 00:48:58.850 Amber Lin: The inputs are very…
458 00:48:58.850 ⇒ 00:49:00.300 Clarence Stone: What do we? Yeah.
459 00:49:00.300 ⇒ 00:49:01.930 Amber Lin: I cannot drag and drop.
460 00:49:01.930 ⇒ 00:49:04.109 Clarence Stone: It is the worst user experience.
461 00:49:05.830 ⇒ 00:49:21.590 Amber Lin: I would agree. I think one of the pushbacks I have is I remember when UTAM wanted to use operating, part of it is to plan out profitability throughout the project, so it’s not only what we should do based on
462 00:49:21.630 ⇒ 00:49:34.460 Amber Lin: The tasks and the sizes of hours demand is also another factor, is how much time should we spend to keep this project a profitable engagement?
463 00:49:34.520 ⇒ 00:49:38.150 Amber Lin: So, like, a lot of times operating
464 00:49:38.370 ⇒ 00:49:46.309 Amber Lin: Hours might be lower than what we estimated for the task, and then that forces us to do better prioritization.
465 00:49:47.220 ⇒ 00:50:11.510 Clarence Stone: Yeah, so this is what I struggle with, Amber. When it comes to future projections, in the last two consulting companies I worked at, it was on the individual to actually submit their future demand. So I would be like, hey, for the next 3 months, I’m on ABC and Heddraw, right? I would go into the portal and say, 20 hours here, 20 hours there, and just move on with my day.
466 00:50:11.560 ⇒ 00:50:29.380 Clarence Stone: Right? What happens at the end, when I, you know, get my personal reviews done, is they’ll look at how much time I’ve booked into Mercury, and then compare it to how I projected out my hour utilizations would be. And that becomes a metric that gives me feedback on how well I am at estimating my own staffing.
467 00:50:29.380 ⇒ 00:50:42.749 Clarence Stone: Right? It also gives me personal responsibility, knowing that, hey, you know, maybe Hedra’s gonna end in about a week or two. I should go look for work. I should go talk to people and see if, you know, they need my analyst hours.
468 00:50:43.180 ⇒ 00:50:44.230 Amber Lin: Right.
469 00:50:44.270 ⇒ 00:50:57.449 Clarence Stone: So, like, I fully agree with your thoughts here. The only thing I just kind of want to throw in is, like, how about we make this submission at the individual level, right? That’s the point of.
470 00:50:57.450 ⇒ 00:51:02.250 Amber Lin: That’s very cool. That’s an approach I never thought about before, so…
471 00:51:02.250 ⇒ 00:51:14.720 Clarence Stone: estimating your own future demand, right? Like, if you don’t have a project that’s lined up, then hey, you know, talk to people, make friends, and get assigned to a new project, or help, help, you know, the sales team win more work so that you’re staffed.
472 00:51:16.150 ⇒ 00:51:19.310 Amber Lin: Cool. Do you think that’s something we can…
473 00:51:19.510 ⇒ 00:51:29.860 Amber Lin: implement quickly, or is that something that needs better planning and education, and then roll out slowly? Because I would like to see a trial of that, I just don’t know how that would happen.
474 00:51:30.220 ⇒ 00:51:41.960 Clarence Stone: I would be more comfortable if, like, maybe I’ll mirror it out with, like, Sesshu, and then we run it by you, and then we get it approved by Robert and Utsom, and then we test it out.
475 00:51:43.870 ⇒ 00:51:45.600 Amber Lin: I see.
476 00:51:46.000 ⇒ 00:52:04.370 Amber Lin: Yeah, because I think a big problem all of us have faced is, I think everybody in the company is very happy to help out, so before, when we were assigned hours, it was very easy to say yes, because even if, say, I know I might have
477 00:52:04.420 ⇒ 00:52:15.469 Amber Lin: 10 hours on something, 20 hours on something, and I guess get asked for a new project, that will be more than what I can handle. I’ll still say yes.
478 00:52:15.560 ⇒ 00:52:29.939 Amber Lin: Because it’s being… we’re not really managing our own hours, it’s more so, hey, I was asked of this, can I really… can I… can I help out? And usually we all say yes. So if we can start the model you mentioned, I think that will be…
479 00:52:30.160 ⇒ 00:52:37.390 Amber Lin: helpful, when… to the problem, like, people over-promising.
480 00:52:37.560 ⇒ 00:52:53.570 Clarence Stone: Yeah, so I’ll throw this to the rest of the group here, right? Pranav, if you create a plan, and it’s, you know, I look at it, and I say, okay, it’s probably going to take me about, like, 8 hours a week, and I turn around and I enter that into operating for myself. Is that gonna make your life easier?
481 00:53:03.140 ⇒ 00:53:06.999 Pranav Narahari: I fi- I guess I’m trying to…
482 00:53:09.260 ⇒ 00:53:14.919 Pranav Narahari: I guess, yeah, if you’re the one that’s saying that you can do it, then yeah, it would actually…
483 00:53:14.920 ⇒ 00:53:32.479 Clarence Stone: I look at your project plan, right, and as an analyst, it looks like there’s 8 hours of analyst work here. I go, hey, Pranav, it’s gonna be about 8 hours a week for me. You go, hey, that matches with the project budget and plan, go ahead and commit yourself to that. I go in to operate logged hours for, like, till the end of the project.
484 00:53:33.800 ⇒ 00:53:35.849 Pranav Narahari: Yeah, that’s… that sounds good to me.
485 00:53:36.600 ⇒ 00:53:37.370 Clarence Stone: Okay.
486 00:53:37.530 ⇒ 00:53:40.100 Clarence Stone: I… think I’m gonna just…
487 00:53:40.540 ⇒ 00:54:04.889 Clarence Stone: kind of create a concept of operations with some Miro, and just bounce it back at you guys to make sure that’s okay. Like, I do want to make this so much easier, and this is a very frustrating part about being an EP. I, you know, for a long time, had a gripe about, you know, very similar information being entered into two platforms. So, like, whatever we can do to chop this down, I’m game for. So if you guys have ideas.
488 00:54:04.890 ⇒ 00:54:06.869 Clarence Stone: Feel free to, you know, send them over to me.
489 00:54:09.730 ⇒ 00:54:15.530 Amber Lin: Cool. Should we plan to review it in our next meeting?
490 00:54:16.590 ⇒ 00:54:21.440 Clarence Stone: Probably sooner, Amber. I probably might ping you, like, after this call.
491 00:54:21.440 ⇒ 00:54:22.410 Amber Lin: Oh, cool, okay.
492 00:54:23.420 ⇒ 00:54:43.259 Amber Lin: Okay, sounds good. I know we originally wanted to talk about, say, Notion and then Google Drive organization. Steph, I remember you had a question for that. Could you repeat what your question is? So, like, if we end up not having time, we can still send some stuff in Slack.
493 00:54:45.420 ⇒ 00:54:50.720 Mustafa Raja: Yeah, for me, I just wanted to know if, work like this,
494 00:54:51.620 ⇒ 00:55:00.069 Mustafa Raja: It should be logged in, in the client servers or something internal. That’s all I had, because, earlier, this meeting, I was…
495 00:55:00.320 ⇒ 00:55:03.110 Mustafa Raja: working on Notion and…
496 00:55:03.280 ⇒ 00:55:08.900 Mustafa Raja: I was just really confused if, if I should, log it in default or something else.
497 00:55:15.840 ⇒ 00:55:19.780 Amber Lin: I guess that’s a question for operations or clearance for you.
498 00:55:19.960 ⇒ 00:55:21.740 Amber Lin: Probably for operations.
499 00:55:23.040 ⇒ 00:55:28.630 Clarence Stone: That was coming in really fuzzy for me, Mustafa, so I didn’t catch the question at all.
500 00:55:28.820 ⇒ 00:55:29.450 Mustafa Raja: Yeah, so…
501 00:55:30.400 ⇒ 00:55:33.119 Amber Lin: Sorry, go… Go ahead, sorry.
502 00:55:33.800 ⇒ 00:55:40.520 Mustafa Raja: Yeah, so, earlier this… earlier from this meeting, I was working on Notion Organization for my…
503 00:55:40.800 ⇒ 00:55:42.500 Mustafa Raja: For my client for IMEP.
504 00:55:42.680 ⇒ 00:55:50.520 Mustafa Raja: And I was, I was a little confused if I should, log this time in default or, in something internal.
505 00:55:51.910 ⇒ 00:55:57.020 Clarence Stone: So if it’s related to planning for a project, you book it to the project.
506 00:55:58.070 ⇒ 00:55:58.620 Mustafa Raja: Okay.
507 00:55:59.360 ⇒ 00:55:59.930 Clarence Stone: Right.
508 00:56:01.270 ⇒ 00:56:06.840 Clarence Stone: Right, like, you’re saying you’re doing this planning, and it’s specifically for a client project?
509 00:56:07.730 ⇒ 00:56:12.959 Mustafa Raja: Yeah, this was for a client project, but this is, like, this is, like, Notion organization, right? So…
510 00:56:13.640 ⇒ 00:56:22.150 Clarence Stone: Oh yeah, I mean, like, you have to do it to deliver a high-quality project. That’s all part of the project. So this is actually great, like.
511 00:56:22.260 ⇒ 00:56:47.220 Clarence Stone: you know, thing to pick up for all the other EPs here, if you’re not catching that, like, any of the operational things that you need to keep, you know, your engagement running, like making slides, updating files, creating artifacts, that is all part of our delivery. So, if, you know, you’re not estimating that or building that into your, your hourly estimations or GANTS, you might be off by hours. So, maybe review
512 00:56:47.220 ⇒ 00:56:49.530 Clarence Stone: Your plans with that new information.
513 00:56:52.200 ⇒ 00:57:01.070 Amber Lin: Cool. What about, say, times for our EP meetings? What specific clockified project does it go under?
514 00:57:02.700 ⇒ 00:57:06.480 Sheshu Chandrasekar: I think internal stand-ups? I think that there’s a provision for that.
515 00:57:07.180 ⇒ 00:57:09.290 Amber Lin: Let me check…
516 00:57:12.200 ⇒ 00:57:17.039 Pranav Narahari: Yeah, I’ve been putting them in, like, the… there’s something, like, internal, one-on-ones, all hands…
517 00:57:17.040 ⇒ 00:57:20.629 Amber Lin: Oh, cool, yeah, so they’re all company, one-on-ones internal. Cool.
518 00:57:20.810 ⇒ 00:57:21.430 Mustafa Raja: Yeah.
519 00:57:21.880 ⇒ 00:57:22.660 Amber Lin: Okay.
520 00:57:24.370 ⇒ 00:57:27.749 Amber Lin: I mean, that’s… that’s all I had for today.
521 00:57:30.440 ⇒ 00:57:32.870 Amber Lin: I think we had a very productive session.
522 00:57:33.050 ⇒ 00:57:57.610 Clarence Stone: Yeah, it was amazing. Amber, thank you for walking everybody through that. Like, okay, so this is one thing that I want to say before we close out, is I was intending on using this time to check on everybody’s work items and documentation, but, you know, just by how things weren’t filled out and operate yet, I don’t think we’re quite there. So, like, next week, we really have to be in top shape, so if somebody needs help.
523 00:57:57.610 ⇒ 00:58:08.770 Clarence Stone: doesn’t have access to systems, or is still not completed their artifacts for their client, regardless of what the challenge is, please ping me. I need to know if you have a blocker.
524 00:58:09.390 ⇒ 00:58:18.480 Clarence Stone: Right? If not, I’m gonna assume that I can just call on anybody and have them explain, you know, how their engagement is going, who’s part of the engagement, what their plan looks like.
525 00:58:20.890 ⇒ 00:58:23.530 Amber Lin: Very cool.
526 00:58:23.660 ⇒ 00:58:35.880 Amber Lin: I do think a short checklist would help, at least it will help me. So, on the top of my mind, I have Notion, I have Google Drive.
527 00:58:36.190 ⇒ 00:58:39.180 Amber Lin: I have operating.
528 00:58:39.600 ⇒ 00:58:41.550 Amber Lin: And then linear.
529 00:58:42.090 ⇒ 00:58:45.540 Amber Lin: Anything else?
530 00:58:46.310 ⇒ 00:58:55.220 Clarence Stone: I would back it in to the type of questions that Robert or Utam might ask you guys, right? So they might say, like, who’s assigned to your project? Like.
531 00:58:55.490 ⇒ 00:59:02.839 Clarence Stone: Is that written somewhere in your Notion? Right? It’s like, when do you guys do your weekly presentations to the client?
532 00:59:03.280 ⇒ 00:59:19.259 Clarence Stone: where are you guys, you know, saving that information, right? Like, what was the topic of your last, you know, presentation? What did you guys present? Do you guys have easy access to those Google Drive documents, right? So all the pieces of the things that you need really just tied together in a value…
533 00:59:19.260 ⇒ 00:59:26.700 Clarence Stone: version of a business question, right? Think about the things that you typically are asked as a planner, and
534 00:59:27.060 ⇒ 00:59:37.720 Clarence Stone: Make sure you’re able to answer those questions. I think you guys are gonna get a feel for it as soon as we do the first one, where I’m not gonna ask, hey, let me see your notion. I’m gonna say, hey, tell me about your client.
535 00:59:38.160 ⇒ 00:59:40.730 Clarence Stone: How long, like, what projects do we have with them?
536 00:59:41.100 ⇒ 00:59:51.880 Clarence Stone: Well, you’re gonna open up Notion and actually connect those dots for me, right? Like, I don’t really care what your notion looks like. If you can actually show me the work products that actually explain those and answer those questions.
537 00:59:52.110 ⇒ 00:59:55.510 Clarence Stone: You know, it doesn’t really matter if you put it in, you know, cursor.
538 00:59:56.600 ⇒ 01:00:05.880 Amber Lin: I see. I think it… the questions may be a bit too abstract for someone who just started.
539 01:00:06.010 ⇒ 01:00:14.189 Amber Lin: EP work, I’m just saying from when I first started doing project management, I don’t even know what that question would be.
540 01:00:14.330 ⇒ 01:00:23.089 Amber Lin: Until I get hit with it for the first time. So, Clarence, if you know what the questions are, would you mind just dumping it in our channel?
541 01:00:23.490 ⇒ 01:00:26.319 Clarence Stone: I have a good question, I’ll ping you right after, Amber.
542 01:00:26.600 ⇒ 01:00:30.069 Amber Lin: Okay, that sounds good. I think that will be helpful for everyone.
543 01:00:30.080 ⇒ 01:00:30.910 Mustafa Raja: Yeah.
544 01:00:31.450 ⇒ 01:00:34.560 Amber Lin: Cool. Anything else?
545 01:00:36.270 ⇒ 01:00:42.579 Sheshu Chandrasekar: No, all good, and Amber, and Pranav, Mustafa, thank you so much for your input. I think this was a great session.
546 01:00:42.790 ⇒ 01:00:51.259 Sheshu Chandrasekar: It gave me a lot of insight into all the software tools that you guys are using and their limitations, so really appreciate your perspective.
547 01:00:54.840 ⇒ 01:00:57.050 Amber Lin: Oh, of course. I’m glad to work with you.
548 01:00:57.620 ⇒ 01:01:01.179 Amber Lin: Alright, thanks everybody, and Clarence, I’ll chat with you.
549 01:01:01.360 ⇒ 01:01:03.620 Clarence Stone: Yeah, I’ll send you the paint.
550 01:01:03.920 ⇒ 01:01:04.979 Amber Lin: Awesome. Bye.
551 01:01:04.980 ⇒ 01:01:05.660 Mustafa Raja: Thank you.
552 01:01:05.660 ⇒ 01:01:06.200 Clarence Stone: Right.