Meeting Title: PM Daily Sync Date: 2025-03-20 Meeting participants: Aakash Tandel, Uttam, Amber Lin
WEBVTT
1 00:01:19.940 ⇒ 00:01:21.209 Amber Lin: Hi gosh!
2 00:01:22.660 ⇒ 00:01:23.189 Aakash Tandel: Hey? How’s it going
3 00:01:27.640 ⇒ 00:01:32.540 Amber Lin: So are we waiting for Steven and Utah to join? Or is it just gonna be us today
4 00:01:32.880 ⇒ 00:01:35.889 Aakash Tandel: I think we’re waiting for both of them. Yes.
5 00:01:37.260 ⇒ 00:01:39.839 Amber Lin: Okay, cool. Let me run to the bathroom real quick.
6 00:01:39.840 ⇒ 00:01:40.470 Aakash Tandel: Sure.
7 00:04:12.900 ⇒ 00:04:14.270 Amber Lin: Okay. I’m back.
8 00:04:16.940 ⇒ 00:04:24.070 Aakash Tandel: We are still alone. We’ll give, maybe item. And Steven, like a minute or so more, and then, if not.
9 00:04:25.110 ⇒ 00:04:25.939 Amber Lin: Yeah, like.
10 00:04:28.360 ⇒ 00:04:32.520 Aakash Tandel: Can just do a quick one on one. And then otherwise, yeah.
11 00:04:33.850 ⇒ 00:04:36.480 Aakash Tandel: how are things going for you? How was your face doing
12 00:04:36.720 ⇒ 00:04:41.559 Amber Lin: Oh, it is. It is very swollen, it is.
13 00:04:42.700 ⇒ 00:04:48.490 Amber Lin: and it’s unevenly swollen, because this side is massive and that side is just okay.
14 00:04:49.510 ⇒ 00:04:54.289 Aakash Tandel: Yeah, that that’ll that’ll be like that is how’s eating and drinking? Is that okay?
15 00:04:54.880 ⇒ 00:04:55.520 Amber Lin: Okay.
16 00:04:55.520 ⇒ 00:04:57.590 Aakash Tandel: Eating and drinking is okay. It’s not too bad
17 00:04:58.016 ⇒ 00:05:00.150 Amber Lin: I’m eating baby food. Essentially
18 00:05:00.150 ⇒ 00:05:00.750 Aakash Tandel: Yeah.
19 00:05:00.750 ⇒ 00:05:10.770 Amber Lin: Thing is okay. As long as I don’t use a straw. So I feel fine. It’s just if I talk too much, it starts to start to hurt, because it’s kind of sore
20 00:05:11.140 ⇒ 00:05:14.120 Aakash Tandel: Yeah, yeah, I remember, I did that.
21 00:05:14.400 ⇒ 00:05:23.709 Aakash Tandel: Yeah, maybe 7 or 8 years ago. And I remember it being not the most fun, but also not the work, not as bad as I thought.
22 00:05:23.710 ⇒ 00:05:32.919 Amber Lin: No, it’s not such a big surgery, but it’s just uncomfortable because we use this part all the time. It’s not like can sit and not walk so
23 00:05:32.960 ⇒ 00:05:34.620 Aakash Tandel: That’s it, exactly.
24 00:05:36.020 ⇒ 00:05:47.530 Amber Lin: On the Pm. Side. I’m doing pretty good actually, the start of the week was a little hectic because I was. There was a lot of tickets in linear, and it’s not really groomed. I was not
25 00:05:47.650 ⇒ 00:06:08.130 Amber Lin: filtering by the projects or having it filtered by priority, so it was kind of hard when I tried to stand up there, because I just wasn’t. It was just too much information, and I kind of got lost, and I forgot a few things, but today and yesterday I was grooming the I was grooming linear. Let me just share my screen
26 00:06:08.130 ⇒ 00:06:08.680 Aakash Tandel: Sure.
27 00:06:10.304 ⇒ 00:06:12.919 Amber Lin: Linear. There we go.
28 00:06:16.040 ⇒ 00:06:24.929 Amber Lin: And so that’s my issues. Mostly, I think ABC, home is pretty good right now.
29 00:06:25.620 ⇒ 00:06:31.300 Amber Lin: So I have the different project views
30 00:06:32.670 ⇒ 00:06:38.789 Amber Lin: which is pretty decent to look at, and having the in review part was also helpful.
31 00:06:38.930 ⇒ 00:06:41.929 Amber Lin: So I think we’re pretty on track with that
32 00:06:42.600 ⇒ 00:06:46.379 Aakash Tandel: Nice. Have you met with the client and stuff on that one ABC. Home?
33 00:06:47.318 ⇒ 00:06:59.169 Amber Lin: Oh, yeah. ABC, home I’ve been. I’ve met with the clients for 2 weeks already, so I’m planning for the meeting for tomorrow, but for pool parts and stack list still need to meet them.
34 00:06:59.650 ⇒ 00:07:01.209 Amber Lin: Hi, autumn
35 00:07:01.380 ⇒ 00:07:05.750 Uttam: Hey, guys, sorry. So totally just blanked. I just got back from a meeting so
36 00:07:06.010 ⇒ 00:07:07.730 Amber Lin: I know you were meaning what you bet
37 00:07:07.730 ⇒ 00:07:10.710 Amber Lin: it went really good. Oh, my gosh! I have so much to update! But
38 00:07:11.260 ⇒ 00:07:12.370 Uttam: Really, really, really, good.
39 00:07:13.270 ⇒ 00:07:19.569 Amber Lin: Join the AI team of pro tomorrow morning and tell us about it. If you have time
40 00:07:19.570 ⇒ 00:07:24.199 Uttam: I will, I will, and also janice is going to be joining us on all of our stuff, so she’ll
41 00:07:24.300 ⇒ 00:07:27.250 Uttam: she’ll probably be able to take over as some product owner stuff
42 00:07:27.250 ⇒ 00:07:30.050 Amber Lin: Oh, that’s so awesome. Okay, that is great.
43 00:07:30.620 ⇒ 00:07:31.290 Aakash Tandel: That’s awesome.
44 00:07:32.790 ⇒ 00:07:39.879 Amber Lin: I was just showing I was showing Akash how my linear is more organized right now, and I feel
45 00:07:40.210 ⇒ 00:07:46.209 Amber Lin: a lot a lot less chaotic using it. I have these different project views. I have that work
46 00:07:46.420 ⇒ 00:07:57.400 Amber Lin: trying to get to use the cycles, but still taking some time. But mostly this is this is working. So ABC homes, good pool parts is
47 00:07:57.930 ⇒ 00:08:17.729 Amber Lin: working because there’s not that much work to do Luke has been able to start. So I I’ve asked him. Oh, have you worked on this? He was like, oh, no, not yet. I was like, I I think you can like you. Can. We can build them extra hours if you start working on the back. Also, he has started on that. That’s really good
48 00:08:17.730 ⇒ 00:08:18.330 Aakash Tandel: Cool.
49 00:08:18.846 ⇒ 00:08:25.919 Amber Lin: I’m glad that he is working. He is using linear. And my AI team is using linear. Think for pool parts.
50 00:08:27.030 ⇒ 00:08:29.790 Amber Lin: My need to get Bo to use linear.
51 00:08:30.110 ⇒ 00:08:36.630 Amber Lin: But mostly his task is pretty simple, essentially working on one thing right now. So
52 00:08:36.929 ⇒ 00:08:40.340 Amber Lin: that’s okay. And for Stack Blitz
53 00:08:40.340 ⇒ 00:08:49.829 Aakash Tandel: Real quick on pull parts. If we don’t have that much work, do we have stuff? We can either pull from the backlog or do you need more backlog items to
54 00:08:50.132 ⇒ 00:09:06.469 Amber Lin: Lucas making items for the the backlog because we talked about it already. Where is it? And we talked about it already. We have all of this. I’m just telling him, okay, you you’re gonna be the one seeing on the task. I’ll just have you created. And he is going to do that
55 00:09:06.470 ⇒ 00:09:06.910 Aakash Tandel: Awesome.
56 00:09:06.910 ⇒ 00:09:17.719 Amber Lin: So I think we’re set, and on the other main part is the forecasting. And there’s essentially one action item by a by a time. So we have that
57 00:09:18.390 ⇒ 00:09:18.940 Aakash Tandel: Cool.
58 00:09:19.680 ⇒ 00:09:29.209 Amber Lin: For stoplets Luke’s stuff is working. He knows what he needs to do, and
59 00:09:29.580 ⇒ 00:09:33.439 Amber Lin: he is just working on them. Where is it?
60 00:09:34.380 ⇒ 00:09:38.590 Amber Lin: Or hmm all issues.
61 00:09:38.770 ⇒ 00:09:39.630 Amber Lin: Yeah.
62 00:09:40.010 ⇒ 00:09:49.199 Amber Lin: Oh, dear, yeah, I think Luke has added his his stuff.
63 00:09:49.770 ⇒ 00:09:59.750 Amber Lin: So we’re good on that. This I still need to organize and groom. But I put sort of what I think is good for the product analytics
64 00:10:00.160 ⇒ 00:10:13.879 Amber Lin: like a few days ago. But I wasn’t able to work with Hannah to say, prioritize them or groom them, or make sure if that’s what she wants. And I know we’re changing a little bit on how we’re gonna work with Sahana. So
65 00:10:14.310 ⇒ 00:10:22.129 Amber Lin: that will just pause, for now I’m probably it’s I’m probably gonna work with you to go through these and just build it out.
66 00:10:22.570 ⇒ 00:10:26.540 Amber Lin: Build the dashboards and analytics stuff out. But that’s
67 00:10:26.750 ⇒ 00:10:41.479 Amber Lin: that’s all. For my 3 teams. I think they’re doing pretty well. We’re on the right track stock list needs a push, but Brian’s part is, he has some good progress. Luke Ryan has some good progress, and this we have some good progress.
68 00:10:41.780 ⇒ 00:10:44.239 Amber Lin: So I think we’re on track here
69 00:10:48.110 ⇒ 00:10:54.080 Aakash Tandel: Yeah, that sounds good. I know you guys are gonna be working together on stack. But that sounds good.
70 00:10:55.800 ⇒ 00:10:56.760 Aakash Tandel: Cool.
71 00:10:57.070 ⇒ 00:11:03.729 Aakash Tandel: I don’t think Steven is actually coming to this meeting, because I don’t think, he replied, yes, he might have a conflict.
72 00:11:04.811 ⇒ 00:11:08.258 Aakash Tandel: Which is totally fine.
73 00:11:09.480 ⇒ 00:11:14.050 Aakash Tandel: yeah, for his stuff, I know, and I think Javi’s in a
74 00:11:14.470 ⇒ 00:11:28.099 Aakash Tandel: either better place, or it’s just like kind of like pull parts where there’s less work to be happening. But the Eden is definitely has some things we need to work on. I think they’re just.
75 00:11:29.400 ⇒ 00:11:31.816 Aakash Tandel: I think the client is
76 00:11:33.330 ⇒ 00:11:42.609 Aakash Tandel: not on the same page with our speed or understanding of some of the tools, so I’ll have to work with him and Robert. Which I think you’re following along with what’s
77 00:11:42.950 ⇒ 00:11:47.030 Uttam: Yeah, I’m happy to give a little bit of of thoughts there.
78 00:11:48.070 ⇒ 00:11:52.210 Uttam: yeah, this is just so. So one is the client they’re like
79 00:11:52.460 ⇒ 00:11:55.968 Uttam: on an emotional level. They’re just very
80 00:11:57.240 ⇒ 00:12:02.479 Uttam: They’re just very short with us, and they want to move very fast, so
81 00:12:02.760 ⇒ 00:12:20.399 Uttam: as like when really Robert is both acting as them and and the product owner. And for him we can never get any breathing room, because we’re still catching up on these data issues. Part of that is, you know, part of the reason we brought in James is is mainly to just help assist on anything tableau there which he’s doing a good job. And
82 00:12:20.520 ⇒ 00:12:29.339 Uttam: but you know, in the short term, of course, we’re we’re definitely like not making any money on on even. But our goal is to fix is the right size of ship there. So
83 00:12:29.924 ⇒ 00:12:42.215 Uttam: I think one of the big complications has been tableau. Another complication has just been like ownership from the engineers on like stamping. That data is accurate all the way until tableau.
84 00:12:42.890 ⇒ 00:12:46.269 Uttam: you know. So part of it is like.
85 00:12:46.990 ⇒ 00:12:50.540 Uttam: part of it is. Yeah, I think people are building things
86 00:12:50.740 ⇒ 00:13:20.300 Uttam: that they don’t know what they what even they’re what it is. And right. And we we really, this is where a lot of robbers frustration came from is that we built stuff in tableau. And then, when you ask like, Hey, there’s no data since since March or since, like a certain date. Then it’s like, Oh, yeah, there isn’t I? It’s like, Okay, but you’re you’re you own the dashboard like, why why didn’t they got flagged. So part of it is like a sense of agency there. So that’s 1 thing. The second piece, I think. Still, that team wakes up with. Not a
87 00:13:20.430 ⇒ 00:13:27.630 Uttam: maybe. Maybe it’s getting better this week again. I haven’t been the standards, but not for the last few weeks. Hasn’t been like waking up with a clear sense of like, what’s on the plate?
88 00:13:28.161 ⇒ 00:13:45.029 Uttam: So I think it’s getting better. I mean, I think there’s issues like today, where it’s like all hands on deck just to figure one thing out. I think it’s a lot of like moving the Puck. However, what I’ll tell you guys, and sort of up to our conversation in our group. Chat is that
89 00:13:45.030 ⇒ 00:14:06.009 Uttam: are are very, very senior and very, very good meeting. Lean on, lean on them like you would lean on me on the technical side. They can solve most problems, and are actually really excited to go solve those problems with Sahana. I’m not sure at this point, like I think she’s she’s. It seems clear that she’s down to do work, but you know, to own the output.
90 00:14:06.150 ⇒ 00:14:09.360 Uttam: I don’t know well.
91 00:14:09.360 ⇒ 00:14:10.110 Amber Lin: Judging by
92 00:14:10.110 ⇒ 00:14:10.900 Uttam: So.
93 00:14:10.900 ⇒ 00:14:16.460 Amber Lin: Essentially, she’s not gonna own it until I tell her something. So that’s what I that’s what I got
94 00:14:16.460 ⇒ 00:14:17.979 Uttam: Yeah, so it’s like, so
95 00:14:18.170 ⇒ 00:14:47.524 Uttam: yeah, and so to give you the to give you to. To give you the long story short on it. We’re we’re basically like, I’m more interested in having people on the team that are high agency and want to own these problems. So right now, we don’t we have a shortage of analysts? We just have Annie and we have Sahana. We don’t have any other analysts like, I’m I’m gonna take over some stuff. So that’s I’m interviewing people tomorrow and interview people this week. So that problem will get solved, probably by mid next week. I’ll have one more person
96 00:14:48.090 ⇒ 00:14:51.059 Uttam: In the meantime we sort of have to run with what we have.
97 00:14:51.429 ⇒ 00:15:18.629 Uttam: That being said like our ex, I want to set ex what what we expect versus what’s possible is gonna be different. It’s gonna still be a gap for some time here, like we don’t have the perfect team. We don’t have the perfect process. That’s fine, like all of us as Pm’s. We’re used to the beating of like trying to figure this out. So that’s fine. I think, on the Sahana piece again as much as we can start to, and sort of those ownership pieces off to a wish, and then a lot of. We will win
98 00:15:18.970 ⇒ 00:15:29.710 Uttam: anything. I feel like that sort of goes through her. I’m not 100% sure about. James seems to have issues, and sort of seems to like be half baked at the end of the day, so
99 00:15:29.930 ⇒ 00:15:37.944 Uttam: I don’t have another person there to take care, so my recommendation is to push more on, James,
100 00:15:38.690 ⇒ 00:15:47.540 Uttam: or or push more on. A lot of they both, you know, have basically all the time to take on more things there. I’ve given them both the direction
101 00:15:47.540 ⇒ 00:15:48.160 Uttam: fine. Take care.
102 00:15:48.160 ⇒ 00:15:58.610 Uttam: Exceed. Yeah. So on on your side, on stafflets. Luke is more than comfortable to do any sort of thing on modeling. What Luke is not skilled at is the analysis piece.
103 00:15:58.850 ⇒ 00:16:15.360 Uttam: So on our side, my goal is to basically, we have to make a call. We’ll make a call on whether Annie is going to join us full time next week or not. If she joins full time, and she’ll be staffed on sort of take off for me between now and then. It’ll be so
104 00:16:16.530 ⇒ 00:16:16.910 Amber Lin: See.
105 00:16:17.160 ⇒ 00:16:17.410 Uttam: Yeah.
106 00:16:17.410 ⇒ 00:16:25.669 Amber Lin: How senior is Annie? Because I saw that she had questions on how Github Github pull requests work, and I didn’t think that anyone
107 00:16:25.670 ⇒ 00:16:26.380 Uttam: So.
108 00:16:26.380 ⇒ 00:16:28.520 Amber Lin: Analysis will have questions about that.
109 00:16:28.990 ⇒ 00:16:42.260 Uttam: You’d be surprised, like analysts, the term analysts or senior analysts. There’s no real definition for me. Those are things, though, that I can teach like as long as people have the aptitude and want to learn like. I taught her how to use Github and like
110 00:16:42.260 ⇒ 00:16:43.800 Amber Lin: Okay, yeah. And so I don’t.
111 00:16:44.030 ⇒ 00:16:46.029 Amber Lin: Pretty eager and pretty active
112 00:16:46.030 ⇒ 00:16:47.180 Uttam: Exactly, exactly.
113 00:16:47.180 ⇒ 00:16:47.830 Amber Lin: They’ve been that
114 00:16:47.830 ⇒ 00:16:49.090 Uttam: It’s really that like.
115 00:16:49.270 ⇒ 00:17:11.600 Uttam: have you seen b 2 b Sas metrics like 5 times? It may. She may not have. But can she do basic math division and like ratios. Yeah. So I don’t care like that’s fine. But does she have agency like? Does she have excitement and like want to own the thing, end to end and sort of wake up and be like, I want to solve this. That’s what I’m that’s what we’re looking for. And so so we’re still we still don’t have
116 00:17:11.770 ⇒ 00:17:30.790 Uttam: right now, like again, and that’s how pious is. But pious doesn’t have time. So he, him and Sahana did the same thing where they just dropped the ball too many times, and like I didn’t have a choice but to start to isolate them further, and I I think on Eden, sort of the same thing is happening, and Akash we may. We may see the ability to use
117 00:17:30.790 ⇒ 00:17:42.220 Uttam: both of them as our ticketing process gets more stable and the tickets have more requirements. But ultimately they’re not full time here, and there’s no path to them becoming full time here. So
118 00:17:42.390 ⇒ 00:17:57.539 Uttam: this is something that I’m we have short term, what we can do like next week, and like long term, long term, everybody’s gonna be a brain forge engineer and have the same set of expectations. I think we’re maybe again, like 2 or 3 weeks
119 00:17:58.310 ⇒ 00:18:15.820 Aakash Tandel: Yeah, yeah, I think having them pitch hit on things that are very defined is good. But yeah, I think some of the things are ill defined, and that definitely seems to be a a part of the issue with Eden. Yeah. And I, I also think, yeah, the the
120 00:18:16.720 ⇒ 00:18:25.820 Aakash Tandel: I don’t know a better way to say it like the vibe, or like the relationship dynamics with our us. And the way eating communicates with us is not the best. I’m trying to figure that out
121 00:18:25.820 ⇒ 00:18:30.148 Uttam: Yeah, it’s it’s really not healthy.
122 00:18:31.600 ⇒ 00:18:34.330 Uttam: So this is where, like, I don’t know, like, are we?
123 00:18:35.940 ⇒ 00:18:49.519 Uttam: We know they’re just like they’re just rude. They’re they just assume we’re wrong, and they’ve been like that. That’s why. Also, I left the other panel. I talked to them like I don’t. I don’t like. If they were to be quite honest, if they were up to me, and we had
124 00:18:49.670 ⇒ 00:18:57.359 Uttam: like another 10 clients, I would have recommended that we leave them because their attitude towards us and the way they treat us is not fair.
125 00:18:57.460 ⇒ 00:18:58.790 Uttam: However.
126 00:18:58.900 ⇒ 00:19:06.730 Uttam: like Robert’s perspective, he he sort of played devil’s advocate. There is. He’s like, Well, have we done what we promised them
127 00:19:06.870 ⇒ 00:19:15.139 Uttam: right at minimum like. And so there, I also see his point, which is like, maybe we haven’t. We haven’t yet delivered what they paid us for.
128 00:19:15.300 ⇒ 00:19:26.320 Uttam: regardless of the way they communicate. If the way they communicate becomes a hindrance to us doing that then I see more more ammo for that conversation. I still
129 00:19:28.310 ⇒ 00:19:30.760 Amber Lin: Is it gonna cut off?
130 00:19:32.660 ⇒ 00:19:39.639 Amber Lin: No, I was hearing cracks all the way. But what is that like for Eden? What what do you mean? Oh, Hi! One time you were back
131 00:19:40.124 ⇒ 00:19:45.449 Uttam: Community where it’s like a super hindrance, then maybe we should.
132 00:19:45.730 ⇒ 00:19:48.770 Uttam: we should do it. But I don’t know yet. Yeah.
133 00:19:48.850 ⇒ 00:19:51.279 Aakash Tandel: I think, from my perspective, it’s
134 00:19:51.410 ⇒ 00:20:02.059 Aakash Tandel: not great, but I mostly don’t want the 5 11 like 5 alarm fire to be ringing. That’s a not that actually big of a deal
135 00:20:02.060 ⇒ 00:20:02.660 Uttam: Every day.
136 00:20:02.660 ⇒ 00:20:06.210 Aakash Tandel: From doing anything actually productive. Like.
137 00:20:06.410 ⇒ 00:20:18.069 Aakash Tandel: I think today, they actually did fix something that was correctly needed to be resolved. But like I got a question on like something about segment just now. And it’s like, Okay, that doesn’t seem like a
138 00:20:18.240 ⇒ 00:20:22.520 Aakash Tandel: emergency thing I need to get DM’d about. So I’m gonna
139 00:20:22.670 ⇒ 00:20:51.490 Aakash Tandel: I’m gonna analyze and figure out what I need to do there and not drop everything and not put our engineers like immediately on that task type of thing. So I think from Steven’s side, he’s just gonna have to be aware of like, Hey, we want our the ball to keep moving forward and and they definitely have seem to have the tendency to pull us off and like do this other thing for them really quickly. But we have to resist that urge, but also prove value from doing a good job on the things we’re actually working on.
140 00:20:51.670 ⇒ 00:20:54.110 Uttam: Yeah, I agree. I mean, fundamentally one.
141 00:20:54.240 ⇒ 00:20:56.500 Uttam: The data has to be accurate. So
142 00:20:56.500 ⇒ 00:20:57.030 Aakash Tandel: Yep.
143 00:20:57.030 ⇒ 00:21:14.560 Uttam: But I think the problem with Eden is like as Robert. You can expect Robert to be like at least 50% of the client meaning. If they’re scatterbrained, he’s gonna have some sense of scatterbrain. So for for our job. And this is where sort of the Pm. Side is to triage everything that comes in and sort of protect
144 00:21:14.750 ⇒ 00:21:25.100 Uttam: the engineers from what is actually the priority. Right? Like we have a farm ops dashboard. We have a retention dashboard. We have everything. But then today, the data quality. Okay. But we have 2 people are staffed and other stuff
145 00:21:26.560 ⇒ 00:21:28.490 Aakash Tandel: Yup, yeah. And I think the other thing
146 00:21:28.490 ⇒ 00:21:29.220 Uttam: Where.
147 00:21:30.130 ⇒ 00:21:30.830 Aakash Tandel: Oh, go for it!
148 00:21:31.300 ⇒ 00:21:33.650 Uttam: Yeah, no, I don’t know.
149 00:21:36.700 ⇒ 00:21:57.209 Aakash Tandel: sorry kind of breaking up there. I was just saying, the other thing is, Josh is joining the stand up. So the President. And then we’re meeting with Mattesh, and we meet with Bobby. And so we have a lot of different stakeholders there, and they’re all asking for different things so like technically, it’s 1 client. But it’s like 5 or 6 different work streams, and they’re all not the same like
150 00:21:57.260 ⇒ 00:22:08.350 Aakash Tandel: people like some of them are more segment, amplitude or sorry segment mixed panel issues, and some of them more tableau on Dbt issues like, those are different people that would be handling those problems. So yeah.
151 00:22:16.320 ⇒ 00:22:17.050 Aakash Tandel: cool.
152 00:22:21.120 ⇒ 00:22:23.890 Aakash Tandel: With whom, if you’re talking, you’re muted. But
153 00:22:28.270 ⇒ 00:22:29.589 Aakash Tandel: oh, good. Okay.
154 00:22:30.340 ⇒ 00:22:39.609 Amber Lin: I wanted to get a sense of for our Pm. Department. What kind of initiatives are we having in mind, and what are our priorities right now, just to set myself
155 00:22:40.159 ⇒ 00:22:42.650 Amber Lin: in of a bigger picture
156 00:22:43.230 ⇒ 00:22:50.379 Aakash Tandel: Yeah, I think the 1st big big item is, make sure that we and I think you’re further along on this than like
157 00:22:51.910 ⇒ 00:23:16.519 Aakash Tandel: job in Eden is becoming like the full primary contact, and having the like the standard kind of cadence of things. So like the daily stand, ups the one on ones with the engineering team analyst team, the weekly check in with the client. Writing the the either bi-weekly or or once a week. Kind of executive report for the client.
158 00:23:16.897 ⇒ 00:23:27.249 Aakash Tandel: And then also, like the long term roadmap items. I think that’s the 1st thing we want to tackle so that you know, our team is is owning those, and it’s not on leadership.
159 00:23:27.650 ⇒ 00:23:49.830 Aakash Tandel: That’s probably the 1st thing and then once we are nailed down on those we can kind of start to pull apart different things that we can add onto the plate. But I think full. We’re not quite there yet on all the clients across the board. And again, I think you’re further along, Javi and Eden. Eden specifically might be a little bit longer term one than the others, just because there’s some
160 00:23:50.370 ⇒ 00:23:54.249 Aakash Tandel: conflicting like issues there. So yeah, that’s the 1st thing I think
161 00:23:55.530 ⇒ 00:23:56.830 Uttam: Yeah, I agree.
162 00:23:59.160 ⇒ 00:24:00.030 Amber Lin: Sounds good
163 00:24:00.620 ⇒ 00:24:01.250 Aakash Tandel: Cool.
164 00:24:02.581 ⇒ 00:24:05.790 Aakash Tandel: Sweet. Well, we don’t need to stay on this any longer.
165 00:24:06.257 ⇒ 00:24:08.269 Aakash Tandel: We can get give some time back.
166 00:24:09.680 ⇒ 00:24:14.369 Aakash Tandel: I know we’ll talk tomorrow again on a full team retro, and I think that’ll be good. I think
167 00:24:15.140 ⇒ 00:24:25.313 Aakash Tandel: Steven isn’t said yes, that one but looks. I’ll we should check. I’ll check in with him just to make sure that he can make that one, because I think it’d be good to at least have one sync with all of us. On there
168 00:24:25.530 ⇒ 00:24:42.989 Uttam: Yeah, and I’ll keep. I’m gonna keep streaming some thoughts, as like, you know, going through this transition. It’s really helpful to see what sort of breaking, and what we need to pick up, I think, from my angle, I should have a good understanding of like what? Who was booked everywhere, and sort of what the expectations for hours are. Also
169 00:24:43.312 ⇒ 00:24:56.330 Uttam: a conversation kind of needs to happen on multiple fronts where it’s like, are we getting the job done. Okay, how many hours is it getting job done? Okay, how many hours are actually getting paid for? Okay? Then I go back to sales and say.
170 00:24:56.690 ⇒ 00:25:13.869 Uttam: okay, you need to either renegotiate higher, or we need to take less scope right on Eden. It’s definitely too much scope for the amount of time it’s taking that that can be both solved by getting more money in, or by taking less and doing less more confidently.
171 00:25:14.060 ⇒ 00:25:32.199 Uttam: I’ll let. I’ll let Robert on Javi kind of probably similar in that. We’re taking on a lot because we’re just saying yes to everything and not don’t have a roadmap right? We we just say yes, and then we’re like we’ll get it when we get it. There’s no stacking right, and the client may want to accelerate, but we have no way
172 00:25:37.280 ⇒ 00:25:55.819 Uttam: right for staff the opposite we are under booking, and we are under delivering, not from a lack of budget, from a lack of execution. Right? Partly we talked about some team problems, partly we talked about some planning stuff. So those are there. And then we’re starting with urban stems.
173 00:25:55.930 ⇒ 00:26:12.879 Uttam: So I think tomorrow I’ll talk a little. We can talk a little bit about what characteristics we see across both, and I’ll share a little bit about as a whole as a company where we are on our allocations and our billable time. And then we can just think about that, too, because I haven’t. This week is the 1st week I had space to even think about that whole problem
174 00:26:14.060 ⇒ 00:26:19.060 Aakash Tandel: Yeah, that sounds perfect. That’s kind of what I was thinking. Tomorrow’s meeting. We go go for
175 00:26:19.900 ⇒ 00:26:20.950 Uttam: Okay. Great.
176 00:26:21.660 ⇒ 00:26:23.380 Aakash Tandel: Awesome. There you go!
177 00:26:23.600 ⇒ 00:26:24.759 Uttam: Thanks. Everyone.
178 00:26:24.760 ⇒ 00:26:27.280 Aakash Tandel: Yep, thanks, slack, if you need anything. Bye.
179 00:26:27.280 ⇒ 00:26:28.270 Uttam: Bye.