Meeting Title: Eden Analytics Project Retro Date: 2025-07-25 Meeting participants: Amber Lin, Annie Yu, Awaish Kumar
WEBVTT
1 00:00:08.100 ⇒ 00:00:09.380 Annie Yu: Hello!
2 00:00:24.890 ⇒ 00:00:25.940 Amber Lin: Hello!
3 00:00:27.210 ⇒ 00:00:28.280 Annie Yu: Hello!
4 00:00:28.480 ⇒ 00:00:29.240 Annie Yu: Oh.
5 00:00:35.425 ⇒ 00:00:36.110 Awaish Kumar: Hello!
6 00:00:36.280 ⇒ 00:00:40.413 Amber Lin: Hi, there! I’m gonna start a zoom whiteboard.
7 00:00:41.460 ⇒ 00:00:45.969 Amber Lin: I think going to fig jam is very a big hassle.
8 00:00:46.796 ⇒ 00:00:49.830 Amber Lin: Let me find a retro.
9 00:00:57.050 ⇒ 00:01:01.240 Amber Lin: Okay, use template.
10 00:01:03.490 ⇒ 00:01:10.599 Amber Lin: I think it’s just so. Demo is not here. Why did I add him?
11 00:01:11.620 ⇒ 00:01:15.810 Amber Lin: Never mind, yeah, he is not here.
12 00:01:17.430 ⇒ 00:01:22.629 Amber Lin: both out of office. So it’s just us. And then, Robert. So I think this will be pretty quick.
13 00:01:26.620 ⇒ 00:01:31.250 Amber Lin: Let me rename this to July 25.th
14 00:01:31.670 ⇒ 00:01:41.280 Amber Lin: Okay, so I think we’ll take like 4 min.
15 00:01:42.175 ⇒ 00:01:50.890 Amber Lin: Put down any stickies and we’ll talk about them. I’ll set a timer, and then I’ll try to
16 00:01:51.190 ⇒ 00:01:55.140 Amber Lin: try to keep this short, and if Robert joins he can add his stuff too.
17 00:01:56.180 ⇒ 00:01:56.565 Awaish Kumar: Okay.
18 00:01:57.250 ⇒ 00:02:02.160 Amber Lin: Okay, I will start a timer.
19 00:02:05.940 ⇒ 00:02:06.880 Awaish Kumar: Oh, oh.
20 00:06:41.430 ⇒ 00:06:42.500 Amber Lin: Okay.
21 00:07:04.970 ⇒ 00:07:08.340 Amber Lin: oh, wow! We had. We had one thing that went well.
22 00:07:13.330 ⇒ 00:07:15.210 Amber Lin: What did we do? This rent?
23 00:07:20.450 ⇒ 00:07:21.749 Awaish Kumar: What did we do?
24 00:07:21.830 ⇒ 00:07:28.729 Amber Lin: Yeah, I I think there’s a copy of Robert’s project updates. And on the side.
25 00:07:31.050 ⇒ 00:07:37.380 Amber Lin: this is what Robert wrote and will send to the clients.
26 00:07:43.240 ⇒ 00:07:49.549 Amber Lin: I think, okay, do you guys need 2 more minutes
27 00:07:49.920 ⇒ 00:07:53.579 Amber Lin: to read this, or do you want to?
28 00:07:56.260 ⇒ 00:08:02.280 Amber Lin: Okay, let’s take like 1 min
29 00:08:03.840 ⇒ 00:08:19.099 Amber Lin: to read the stickies and add like, if you agree, add a thumbs up. If you don’t agree you can type in more stickies. I’ll just. We can take 2 min to make sure we know what everybody wrote. How’s that?
30 00:08:22.750 ⇒ 00:08:25.409 Amber Lin: Okay, I’ll start. I’ll start the timer.
31 00:08:26.930 ⇒ 00:08:31.220 Awaish Kumar: You know what to do, which may you see them.
32 00:08:46.900 ⇒ 00:08:48.840 Awaish Kumar: And have a little screen.
33 00:08:49.240 ⇒ 00:08:51.760 Awaish Kumar: You can hear. And then
34 00:09:00.390 ⇒ 00:09:03.930 Awaish Kumar: 1, 8, 20, digital arguments.
35 00:09:39.670 ⇒ 00:09:41.890 Awaish Kumar: okay yeah.
36 00:09:48.210 ⇒ 00:09:48.970 Awaish Kumar: you
37 00:09:54.580 ⇒ 00:09:56.799 Awaish Kumar: queue page 5, 30,
38 00:10:14.199 ⇒ 00:10:16.229 Awaish Kumar: what can you give me a while?
39 00:10:22.240 ⇒ 00:10:23.130 Awaish Kumar: Hmm!
40 00:10:30.910 ⇒ 00:10:31.760 Amber Lin: Okay.
41 00:10:32.593 ⇒ 00:10:43.709 Amber Lin: Let’s talk about it. Who wants to start? I think there’s a lot of prob, a lot of problems we’re facing. And I think we’re at a time where
42 00:10:44.550 ⇒ 00:10:47.350 Amber Lin: we can help change that.
43 00:10:47.550 ⇒ 00:10:54.330 Amber Lin: So I will note down everything that we say here.
44 00:10:55.620 ⇒ 00:10:56.150 Amber Lin: So.
45 00:10:56.473 ⇒ 00:10:56.796 Awaish Kumar: Yeah.
46 00:10:57.120 ⇒ 00:10:58.630 Amber Lin: Okay, go ahead.
47 00:10:58.630 ⇒ 00:11:04.780 Awaish Kumar: Yeah, for, like I, I can see. See that like like, the project is very
48 00:11:05.552 ⇒ 00:11:11.029 Awaish Kumar: big and like that, the client and the we have a lot of different projects.
49 00:11:11.200 ⇒ 00:11:16.150 Awaish Kumar: So we are like got getting less and less visibility
50 00:11:16.660 ⇒ 00:11:20.439 Awaish Kumar: into what the other team members are doing.
51 00:11:23.180 ⇒ 00:11:26.060 Awaish Kumar: So yeah, our number one.
52 00:11:26.540 ⇒ 00:11:34.480 Awaish Kumar: So we need to to have some collaboration there. And secondly.
53 00:11:34.580 ⇒ 00:11:42.699 Awaish Kumar: there’s a clear division of responsible like, it’s it’s more like clear requirements and tasks from team members.
54 00:11:44.700 ⇒ 00:11:52.260 Awaish Kumar: Like what we, whatever is asked like should be very
55 00:11:52.510 ⇒ 00:11:58.399 Awaish Kumar: clear on and that, like the expectation, should be clear like. That’s what needs to be done, and that.
56 00:11:58.970 ⇒ 00:12:04.139 Awaish Kumar: What is it? What is the timeline? If it’s something urgent, she should have been like conveyed
57 00:12:06.090 ⇒ 00:12:15.614 Awaish Kumar: and things like accesses and things like that which are needed for to deliver some things like should be there.
58 00:12:16.900 ⇒ 00:12:18.910 Awaish Kumar: So yeah, this is one of the things.
59 00:12:19.941 ⇒ 00:12:26.519 Awaish Kumar: Yeah. And for the communications. I just like edit the next steps. But it’s more like
60 00:12:26.890 ⇒ 00:12:32.899 Awaish Kumar: kind of a problem we are facing. So communication right now. What I’m seeing is that we have a lot of channels.
61 00:12:33.120 ⇒ 00:12:38.039 Awaish Kumar: and people are taking everybody, almost everyone in the team members, different people.
62 00:12:38.550 ⇒ 00:12:38.940 Amber Lin: Yeah.
63 00:12:39.381 ⇒ 00:12:41.589 Awaish Kumar: We can diff different other
64 00:12:41.880 ⇒ 00:12:45.330 Awaish Kumar: people like any me. Sometimes webinars.
65 00:12:45.330 ⇒ 00:12:45.780 Amber Lin: Yeah.
66 00:12:46.450 ⇒ 00:12:53.140 Awaish Kumar: Robert itself, and maybe like after some time you will also be tagged a lot.
67 00:12:53.340 ⇒ 00:12:53.810 Amber Lin: Yeah.
68 00:12:53.810 ⇒ 00:13:00.410 Awaish Kumar: Like tagged, and we give ad hoc answers, and then move on, and we don’t know like, what
69 00:13:00.650 ⇒ 00:13:04.640 Awaish Kumar: what is the follow up on that like we can’t follow slack everything.
70 00:13:05.910 ⇒ 00:13:10.619 Awaish Kumar: So thing like what I my proposal would be to like
71 00:13:10.750 ⇒ 00:13:17.219 Awaish Kumar: for small things like something I delivered, for example, and the client asking some clarification questions or.
72 00:13:17.220 ⇒ 00:13:17.580 Amber Lin: Thanks.
73 00:13:17.580 ⇒ 00:13:18.270 Awaish Kumar: Like that
74 00:13:18.540 ⇒ 00:13:41.939 Awaish Kumar: like we can reply like, if it’s something just need to be given a reply of of clarification on what we are doing? It’s like a person can do it right? Or is it some? It’s. It’s a simple ask to like, deliver some data running this query, or things like that which is like under 30 min or or an hour, like the the engineer can just directly
75 00:13:43.270 ⇒ 00:13:47.029 Awaish Kumar: handle that, and we’ll one along with the R.
76 00:13:47.350 ⇒ 00:13:51.639 Awaish Kumar: Ask whatever it is, provide clarification and things like that.
77 00:13:52.240 ⇒ 00:14:00.109 Awaish Kumar: If something we see that it seeds, or if if I give the answers, and that come, conversation
78 00:14:00.960 ⇒ 00:14:07.050 Awaish Kumar: ends up in in some deliverable, in some doing some task which requires more than 30 min.
79 00:14:07.567 ⇒ 00:14:12.970 Awaish Kumar: I will like to like, create a ticket and hand over it to you to prioritize it.
80 00:14:12.970 ⇒ 00:14:13.330 Amber Lin: Okay.
81 00:14:13.330 ⇒ 00:14:24.530 Awaish Kumar: In the same sprint in nexus sprint like it’s up to you, but it is based on the other, like competitive priorities. Where it fits I don’t know, but like something like that.
82 00:14:24.910 ⇒ 00:14:28.279 Amber Lin: I agree, I totally agree. I was just looking at
83 00:14:28.430 ⇒ 00:14:37.650 Amber Lin: the Channel in the external Eden analytics, and they are tagging Annie in the morning just nonstop, and like
84 00:14:38.270 ⇒ 00:14:56.244 Amber Lin: it was, I think, the 1st one was a simple answer, and then they were having follow up questions and all that. And I I think I totally agree with that. Let’s talk about what it should be. If it’s a bigger task. You can. I think you can ping me
85 00:14:56.750 ⇒ 00:15:01.380 Amber Lin: I’ll go ahead. I’ll make a ticket for that, and then don’t care.
86 00:15:01.380 ⇒ 00:15:15.970 Awaish Kumar: There can be 2 ways like number one is like, we just tag you like amber. Please create a ticket with the requirement whatever or second, that we create a ticket and just let you know that there is a ticket.
87 00:15:16.500 ⇒ 00:15:22.270 Awaish Kumar: And so yeah, you you can then further, like, groom it or whatever you want to do.
88 00:15:22.270 ⇒ 00:15:22.890 Amber Lin: Hmm.
89 00:15:23.100 ⇒ 00:15:27.089 Annie Yu: I, I wanna ask something I think my problem with this is.
90 00:15:28.039 ⇒ 00:15:35.080 Annie Yu: I don’t want the stakeholders to always directly tag us, especially without tagging. Pm, because.
91 00:15:35.080 ⇒ 00:15:35.550 Amber Lin: Okay.
92 00:15:35.550 ⇒ 00:15:43.309 Annie Yu: Even if it’s the question might be an easy one, or it’s under a 30 min task. The person who’s asking might not know, like how much.
93 00:15:44.470 ⇒ 00:16:05.010 Annie Yu: So I think they should always tag pm, as well, and also on that note like, even if something’s easy, it might be quick. But we might have some other tickets. We’re on track to kill, like, let’s say, like by today. So I still want Pm, to be clear. So you can say what’s more important than what should be prior.
94 00:16:05.010 ⇒ 00:16:11.550 Amber Lin: Yeah, I I like that. So let’s first.st
95 00:16:11.730 ⇒ 00:16:22.202 Amber Lin: this is good, because I’m a new Pm, and I can just say, this is how I work. Let’s ask them to 1st always tag me when they have requests.
96 00:16:22.910 ⇒ 00:16:28.569 Amber Lin: and then I think when it’s sometimes we’ll still forget. I think.
97 00:16:28.570 ⇒ 00:16:30.399 Awaish Kumar: I just have a like this.
98 00:16:30.610 ⇒ 00:16:34.730 Awaish Kumar: This limits the the communication between us and them.
99 00:16:34.930 ⇒ 00:16:43.080 Awaish Kumar: and we don’t want to like work in silos, or be disconnected with them, like as much as we engage with them.
100 00:16:43.610 ⇒ 00:16:54.189 Awaish Kumar: They they are happy like. Then they’ll grow with us, like, if we just say like, okay? And you can’t pack away like that will be bad, right? But okay.
101 00:16:55.235 ⇒ 00:16:56.280 Awaish Kumar: yeah.
102 00:16:56.280 ⇒ 00:17:14.679 Awaish Kumar: And then I can figure out if it is simple, I can help him as a colleague like. It’s same as like working with team member like. If I work with Annie, if I ask something to Annie to do something, and she says, Okay, it takes 5 HI can’t just do it. We we should have a ticket. It goes like that right.
103 00:17:15.469 ⇒ 00:17:19.865 Annie Yu: And if it’s something simple she can do it for me. Maybe like in 10 min
104 00:17:20.220 ⇒ 00:17:25.849 Annie Yu: they can’t tag us, but I don’t want them to tag us without tagging. Pm, I think that.
105 00:17:26.719 ⇒ 00:17:45.599 Amber Lin: Yeah, I’m writing on the right side here, so we’ll say that 1st step is to require them to tag both me and whoever team member just to add me in the in the tagging. We’ll tell them that this helps things get done so they will be more willing to do so, and then I think.
106 00:17:45.909 ⇒ 00:17:52.882 Amber Lin: cause because you’re getting tagged, and you probably have the better idea of how long it will take
107 00:17:54.389 ⇒ 00:17:55.519 Amber Lin: to.
108 00:17:56.599 ⇒ 00:18:01.659 Amber Lin: I think, I guess, to estimate how long it will take
109 00:18:05.309 ⇒ 00:18:13.269 Amber Lin: and then you can send that in the. You can send it to me. You can send it in the thread that they tag you in.
110 00:18:13.559 ⇒ 00:18:18.319 Amber Lin: and if it’s bigger I’ll create a ticket.
111 00:18:22.310 ⇒ 00:18:34.760 Annie Yu: So then my follow up question would be, if it’s under 30 min. Does that mean we have to prioritize this task over whatever other tickets that I tried to get done today.
112 00:18:35.220 ⇒ 00:18:36.830 Amber Lin: A wish for the you think.
113 00:18:37.550 ⇒ 00:18:42.070 Awaish Kumar: I think that’s yes right. The escalations always come first, st
114 00:18:42.360 ⇒ 00:18:51.150 Awaish Kumar: and we don’t know until we see it. If it is urgent, or if it’s simple. If it is difficult, or it is just something we can.
115 00:18:51.480 ⇒ 00:19:00.029 Awaish Kumar: It’s not relevant. We need to spend at least maybe 10 min or 5 min or something to figure it out. So
116 00:19:00.200 ⇒ 00:19:04.949 Awaish Kumar: if if something is really bothering the the team like
117 00:19:05.560 ⇒ 00:19:20.490 Awaish Kumar: they are going to escalate it. If we don’t answer, they will go to Josh. Josh will come to Robert, and then it’s it’s going to get escalated, anyway. So we just should give it a priority. Give our like 1015 min to figure out
118 00:19:21.154 ⇒ 00:19:23.089 Awaish Kumar: like, if it is
119 00:19:23.310 ⇒ 00:19:32.619 Awaish Kumar: something to to reply, it’s something urgent, or it’s just something will take like 2 h for me to develop it. Then I,
120 00:19:32.990 ⇒ 00:19:35.181 Awaish Kumar: you know, like Hi, like
121 00:19:35.750 ⇒ 00:19:39.990 Awaish Kumar: amber, can. Should I prioritize this or that one or whatever.
122 00:19:43.884 ⇒ 00:20:02.429 Amber Lin: And I do want to bring. I’ll I’ll record your questions. I think I I want to bring it up to Robert as well, because I think a wish make a good point. You make a good point, too, and I know it’s hard to have to change your attention all the time. Let me confirm with Robert. I’ll note that down.
123 00:20:03.390 ⇒ 00:20:11.369 Awaish Kumar: That’s the same escalation process we have for like meta plane, so, meta plane is what like it is
124 00:20:11.760 ⇒ 00:20:16.929 Awaish Kumar: to find data quality issues. It sends us a notification sometimes. Just
125 00:20:17.923 ⇒ 00:20:27.606 Awaish Kumar: like, just like what you say spam like, kind of, I got a notification when I go in and see, okay, that’s something
126 00:20:28.580 ⇒ 00:20:44.250 Awaish Kumar: like the what you say, like the normal behavior, or whatever it is. So we should just mark it as successful or okay. But the thing is that we give it a priority to see if it is not something that’s really going to break things.
127 00:20:47.590 ⇒ 00:20:54.550 Amber Lin: Ask even person, this is urgent.
128 00:20:55.900 ⇒ 00:21:03.960 Amber Lin: Tell them, do you want this or that okay.
129 00:21:05.170 ⇒ 00:21:09.440 Awaish Kumar: Okay. But that’s that should be like for you. Right.
130 00:21:09.440 ⇒ 00:21:11.609 Amber Lin: Yeah, yeah, these are, these are me.
131 00:21:34.990 ⇒ 00:21:37.949 Amber Lin: Okay, how do you guys feel about this?
132 00:21:44.390 ⇒ 00:21:54.920 Annie Yu: Yeah, I think that’s fair. I I think I can imagine Robert will say we shouldn’t always prioritize the ad hoc, just because we have project, Roadmap, and all that.
133 00:21:54.920 ⇒ 00:21:59.689 Amber Lin: Hmm, yeah, I agree. I think, well.
134 00:22:00.060 ⇒ 00:22:01.259 Annie Yu: If he’s.
135 00:22:01.260 ⇒ 00:22:07.470 Amber Lin: If he says so, then if the stakeholders blows, up they come, they go to him. So.
136 00:22:08.187 ⇒ 00:22:13.459 Annie Yu: I’m gonna confirm with him. See what he says, because he has to eat. The consequence of that.
137 00:22:13.660 ⇒ 00:22:19.290 Annie Yu: I think, when when even reviews our performance with with him, that
138 00:22:19.610 ⇒ 00:22:23.379 Annie Yu: things will still be anchored on the the projects.
139 00:22:24.770 ⇒ 00:22:27.379 Annie Yu: Ad hoc, but that is my take.
140 00:22:28.330 ⇒ 00:22:31.966 Amber Lin: Yeah, okay, that’s the that was a really helpful discussion.
141 00:22:33.870 ⇒ 00:22:41.989 Amber Lin: I think. Let’s let’s talk about the 1st 1. 0, actually, Annie, we have 15 min. Do you want to talk about what?
142 00:22:42.310 ⇒ 00:22:46.919 Amber Lin: What’s on your mind? And then we can look at how we can solve these issues together.
143 00:22:48.790 ⇒ 00:22:51.529 Annie Yu: I think that covers
144 00:22:51.780 ⇒ 00:23:10.959 Annie Yu: majority of that. I think I also roll something oh, like linear update. So I usually, I updates in linear, but a lot of times, especially when it re involves like someone else’s support, I still have to bring all the things to slack, so I.
145 00:23:11.510 ⇒ 00:23:19.569 Annie Yu: Really know if and I, you know, like where to put things, and then how often to update.
146 00:23:19.570 ⇒ 00:23:30.570 Amber Lin: I see. Do you know, I think we can try and sync the linear ticket to slack like
147 00:23:31.010 ⇒ 00:23:37.849 Amber Lin: I want you to have to just write it once. I know people don’t check linear as much as they check slack.
148 00:23:40.110 ⇒ 00:23:48.739 Amber Lin: let me see if we can sync it so that you know. Sometimes when a ticket updates, it’ll update in slack. Let’s see if we can do that
149 00:23:51.540 ⇒ 00:23:57.769 Amber Lin: slack messages. And yeah, I agree. Sometimes
150 00:23:57.910 ⇒ 00:24:01.679 Amber Lin: I’m also guilty of this. I don’t read linear updates until the stand up.
151 00:24:02.130 ⇒ 00:24:03.070 Amber Lin: Oh,
152 00:24:04.620 ⇒ 00:24:08.169 Amber Lin: Let’s see. I think people read slack more.
153 00:24:08.580 ⇒ 00:24:17.040 Annie Yu: Yeah, yeah. But it’s good that if there’s like a file or a link, yeah, yeah, so we can.
154 00:24:17.040 ⇒ 00:24:23.950 Amber Lin: Yeah, I I agree. Let me check. If there’s something, I think if we leave a comment.
155 00:24:24.440 ⇒ 00:24:27.249 Amber Lin: can it be synced to slack?
156 00:24:27.680 ⇒ 00:24:36.040 Amber Lin: So that like or in slack, you can just copy, copy that ticket and then add the person.
157 00:24:37.411 ⇒ 00:24:42.130 Amber Lin: Let me check if we can do that. Team settings.
158 00:24:42.130 ⇒ 00:24:44.679 Annie Yu: Yeah, that’s that’s not urgent. Oh, just.
159 00:24:45.610 ⇒ 00:24:47.429 Annie Yu: Just one small thing.
160 00:24:48.333 ⇒ 00:24:54.859 Amber Lin: Oh, okay, I can connect it to a slack channel, and I can make it so that comments to
161 00:24:55.170 ⇒ 00:25:02.159 Amber Lin: comments, to issues are added, let me do that. People might find it annoying.
162 00:25:02.160 ⇒ 00:25:02.790 Annie Yu: Probably.
163 00:25:03.754 ⇒ 00:25:07.099 Amber Lin: But we’ll see. We’ll see. I’ll do it, and then.
164 00:25:07.100 ⇒ 00:25:12.230 Annie Yu: So there’s not setting like if and amber is tagged
165 00:25:12.350 ⇒ 00:25:14.430 Annie Yu: in a comment in a ticket.
166 00:25:14.720 ⇒ 00:25:21.290 Annie Yu: So the notification only pops up when when someone’s tagged, or that’s not not. That’s too detailed.
167 00:25:22.665 ⇒ 00:25:24.540 Amber Lin: I don’t know, I think.
168 00:25:25.290 ⇒ 00:25:27.270 Amber Lin: Oh, that’s tough.
169 00:25:30.470 ⇒ 00:25:31.450 Amber Lin: Hmm!
170 00:25:31.450 ⇒ 00:25:34.429 Annie Yu: Yeah, so yeah, don’t don’t worry about it.
171 00:25:34.590 ⇒ 00:25:41.520 Annie Yu: If it’s gonna be too annoying, because if it’s too annoying, I don’t think people will pay attention to that either way.
172 00:25:43.038 ⇒ 00:25:46.789 Amber Lin: I mean, how often do we post comments.
173 00:25:48.200 ⇒ 00:25:55.479 Annie Yu: I think the idea is to have comments or updates before each stand up.
174 00:25:57.190 ⇒ 00:25:59.829 Amber Lin: So we don’t have that right now, either.
175 00:26:03.680 ⇒ 00:26:11.319 Annie Yu: Yeah. But sometimes Robert would ask for, like the beginning of the stand up. Let’s take 5 min to
176 00:26:11.840 ⇒ 00:26:14.030 Annie Yu: write down things. If you haven’t.
177 00:26:14.190 ⇒ 00:26:24.839 Amber Lin: I see I’ve tried that. Not everybody does it, though. That’s that’s my problem that I face. I’ll say, Oh, let’s up update this, and then nobody updates.
178 00:26:28.237 ⇒ 00:26:30.479 Amber Lin: Okay, anything else.
179 00:26:30.480 ⇒ 00:26:38.316 Annie Yu: I think one more thing is so, and this is related to, I guess, being tagged in a channel. But sometimes.
180 00:26:39.400 ⇒ 00:26:42.269 Annie Yu: Question could be very vague. Okay.
181 00:26:42.270 ⇒ 00:26:42.920 Amber Lin: So, when.
182 00:26:42.920 ⇒ 00:26:47.090 Annie Yu: When you mentioned this morning I got tech that one is actually kind of clear.
183 00:26:47.920 ⇒ 00:26:51.599 Annie Yu: Provide the example. What I’m looking at? And can you.
184 00:26:52.460 ⇒ 00:26:59.589 Annie Yu: It is for me. But then I remember a few days ago, when I saw that I think Demo other already responded, but
185 00:26:59.880 ⇒ 00:27:05.119 Annie Yu: few days ago, like Rebecca asked, asked something, and that was
186 00:27:05.670 ⇒ 00:27:07.979 Annie Yu: super vague for me, like I don’t.
187 00:27:07.980 ⇒ 00:27:08.560 Amber Lin: No.
188 00:27:08.710 ⇒ 00:27:11.710 Annie Yu: Requirement and all that. So I’m
189 00:27:12.110 ⇒ 00:27:15.889 Annie Yu: I think it would be more productive if in those cases
190 00:27:16.530 ⇒ 00:27:21.380 Annie Yu: the requirements can be clarified by Pm. Or like. You don’t have to.
191 00:27:21.870 ⇒ 00:27:29.510 Annie Yu: Know exactly the solution. But I I don’t know. I just I feel like it. It took a lot of back and forth just to figure out the.
192 00:27:29.950 ⇒ 00:27:32.369 Annie Yu: Requirements, and I I don’t have
193 00:27:32.500 ⇒ 00:27:38.070 Annie Yu: the the best solution to this. But that’s 1 thing I wanted to mention.
194 00:27:39.210 ⇒ 00:27:46.400 Amber Lin: Yeah, I think usually they’re just most of the time they send it. They’re just like, I need this help.
195 00:27:46.959 ⇒ 00:28:04.709 Amber Lin: What do you think is a cause. Usually, if that happens, I can go in and send like if you read it, and you feel like it’s unclear. Let’s have a template that like. Just ask so we can ask once and have them fill everything out.
196 00:28:04.840 ⇒ 00:28:09.890 Amber Lin: So what would that template look like.
197 00:28:11.050 ⇒ 00:28:13.660 Annie Yu: Like example.
198 00:28:14.560 ⇒ 00:28:16.490 Amber Lin: It’s a screenshot.
199 00:28:20.240 ⇒ 00:28:26.480 Amber Lin: Oh, we need like a urgency department.
200 00:28:27.980 ⇒ 00:28:40.940 Annie Yu: Yeah. And I think for each different task, it might involve different things. But for me, I would. It’s like sometimes they are not very clear what kind of
201 00:28:41.060 ⇒ 00:28:46.219 Annie Yu: level of detail they want to see as a do you want to see each order
202 00:28:46.590 ⇒ 00:28:55.110 Annie Yu: in each row, or do you want to see like monthly aggregation, and sometimes they might not even know so that’s that’s the hard part.
203 00:28:57.330 ⇒ 00:28:58.380 Amber Lin: I see.
204 00:29:02.510 ⇒ 00:29:12.960 Annie Yu: Yeah. But I do think like the the question from I’m I’m just taking this, for example, from this morning he was. That was a good example. He was
205 00:29:13.090 ⇒ 00:29:13.920 Annie Yu: clear.
206 00:29:14.750 ⇒ 00:29:20.999 Amber Lin: - that’s good. Let me go see, let me go. Read his request.
207 00:29:22.215 ⇒ 00:29:28.009 Amber Lin: So he said, oh, yeah, that’s pretty good. He had a screenshot, too.
208 00:29:28.436 ⇒ 00:29:31.423 Annie Yu: Yeah, yeah. But not everyone does that.
209 00:29:34.300 ⇒ 00:29:35.610 Amber Lin: I see.
210 00:29:36.420 ⇒ 00:29:41.290 Amber Lin: Okay, yeah. And also I looked at that name was like, I had never seen that stakeholder before.
211 00:29:41.290 ⇒ 00:29:43.909 Annie Yu: He was. He just got added to the channel, and.
212 00:29:43.910 ⇒ 00:29:48.519 Amber Lin: Oh, him to tag me because I never interacted with them.
213 00:29:48.520 ⇒ 00:29:53.540 Amber Lin: See? I was so confused. All right.
214 00:29:55.100 ⇒ 00:29:59.759 Amber Lin: So you put that one there.
215 00:30:02.760 ⇒ 00:30:08.080 Amber Lin: Okay, that’s good. Let’s talk about.
216 00:30:08.400 ⇒ 00:30:11.689 Amber Lin: I mean, we have a little bit time left. We can talk about
217 00:30:11.810 ⇒ 00:30:23.129 Amber Lin: how we can change the fact that team members have no clue what other people are working on or like? I guess the further questions, do you guys know.
218 00:30:23.630 ⇒ 00:30:34.949 Amber Lin: even for the projects you are working on like, what are your? What like? What project are you exactly working on? Do you even have a clue of like what you’re contributing towards.
219 00:30:39.925 ⇒ 00:30:40.520 Annie Yu: Not.
220 00:30:40.550 ⇒ 00:30:41.930 Awaish Kumar: I like.
221 00:30:42.730 ⇒ 00:30:44.110 Annie Yu: Yeah, go ahead. Aish.
222 00:30:45.430 ⇒ 00:30:48.185 Awaish Kumar: I’m I’m just saying that I do like
223 00:30:48.710 ⇒ 00:30:51.490 Awaish Kumar: So as Robert has this view of in Linear.
224 00:30:51.730 ⇒ 00:30:54.639 Awaish Kumar: where is assigned by project right? So you can
225 00:30:54.860 ⇒ 00:30:58.999 Awaish Kumar: know at least what project you are contributing to. And
226 00:31:00.170 ⇒ 00:31:04.900 Awaish Kumar: yeah, it’s and mainly like this. This things are divided between me and
227 00:31:05.100 ⇒ 00:31:08.626 Awaish Kumar: family. So we know, like what line of
228 00:31:09.790 ⇒ 00:31:12.049 Awaish Kumar: work we are. We are doing.
229 00:31:15.610 ⇒ 00:31:17.059 Amber Lin: How do you feel? Annie.
230 00:31:18.332 ⇒ 00:31:21.559 Annie Yu: I I think not all the time. But I think
231 00:31:21.760 ⇒ 00:31:26.950 Annie Yu: it’s also because lots of the tickets were
232 00:31:27.200 ⇒ 00:31:34.569 Annie Yu: created based on like an ad hoc question or so. So remember, remember when when you were
233 00:31:35.006 ⇒ 00:31:40.939 Annie Yu: you ask, do you know what project that’s this under? And I have no answer, because I don’t think there.
234 00:31:41.680 ⇒ 00:31:43.160 Amber Lin: I see.
235 00:31:49.950 ⇒ 00:31:53.690 Amber Lin: Yeah, I think because there were too many
236 00:31:56.810 ⇒ 00:32:04.750 Amber Lin: too many just on that. Too many tickets are ad hoc, and therefore, like we have no clue what the prior roadmap is.
237 00:32:07.950 ⇒ 00:32:24.000 Amber Lin: I wish and wish, do you think, you, Demo, that what the roadmap for the project is, or why we’re doing that project. And same for Annie like, do you feel like you? You know why you’re doing what you’re doing and what’s next.
238 00:32:26.220 ⇒ 00:32:29.864 Awaish Kumar: Or like for some of the projects. Yes, right?
239 00:32:31.010 ⇒ 00:32:33.799 Awaish Kumar: we are doing Emr project, for example.
240 00:32:35.370 ⇒ 00:32:39.160 Awaish Kumar: Marketing, marketing, analytics.
241 00:32:39.850 ⇒ 00:32:43.449 Awaish Kumar: And yeah, things like, we know, like, what is the purpose.
242 00:32:44.970 ⇒ 00:32:50.199 Awaish Kumar: But then the the other ones, where I’m not actively part of like. Then there’s a confusion
243 00:32:51.570 ⇒ 00:32:56.829 Awaish Kumar: times like we we added some like tracking, tagging.
244 00:32:57.220 ⇒ 00:33:01.519 Awaish Kumar: and now, as I worked a little bit on it, I know, like it is something to live.
245 00:33:01.710 ⇒ 00:33:07.929 Awaish Kumar: We want to optimize our marketing tech and Gtm stuff and things.
246 00:33:07.930 ⇒ 00:33:08.310 Amber Lin: No.
247 00:33:08.310 ⇒ 00:33:13.779 Awaish Kumar: It was. It is confusing for other projects where we are not part of like, what are the
248 00:33:14.560 ⇒ 00:33:15.909 Awaish Kumar: yeah, what are we doing there.
249 00:33:16.120 ⇒ 00:33:19.089 Amber Lin: Yeah, like, I said, as a follow up for those
250 00:33:19.240 ⇒ 00:33:26.519 Amber Lin: projects that you’re not owning, do you still get tagged to help on certain things.
251 00:33:28.130 ⇒ 00:33:29.109 Awaish Kumar: Yeah. The.
252 00:33:29.440 ⇒ 00:33:36.290 Amber Lin: Oh, I see. Then I think that’s a problem. If you’re tagged, then you you don’t really know what this project is for.
253 00:33:37.704 ⇒ 00:33:40.140 Awaish Kumar: We. We don’t normally get tagged like that.
254 00:33:40.140 ⇒ 00:33:40.670 Amber Lin: Oh, okay.
255 00:33:41.270 ⇒ 00:33:44.700 Awaish Kumar: Sometimes sometimes we do like get some
256 00:33:44.850 ⇒ 00:33:48.489 Awaish Kumar: and like, because some of things are are
257 00:33:48.760 ⇒ 00:33:58.529 Awaish Kumar: like on the sales side is working as well also interacting with that data but but
258 00:33:59.483 ⇒ 00:34:04.870 Awaish Kumar: like sometimes we we do get
259 00:34:05.570 ⇒ 00:34:11.810 Awaish Kumar: cross each other’s line like good, because we have. We are at the end. Looking at same data.
260 00:34:12.889 ⇒ 00:34:16.409 Awaish Kumar: then, yes, but like at a broader level, like.
261 00:34:16.670 ⇒ 00:34:25.480 Awaish Kumar: he gets to access same data working on product analytics, I get to access same data. But my purpose is to support marketing analytics
262 00:34:25.989 ⇒ 00:34:26.869 Awaish Kumar: so it’s
263 00:34:27.259 ⇒ 00:34:34.619 Awaish Kumar: different the different purposes. But we have access same data, so when we go to the data we find issues. Or if there is something there.
264 00:34:35.000 ⇒ 00:34:35.379 Amber Lin: I can see.
265 00:34:35.380 ⇒ 00:34:38.230 Awaish Kumar: Like we. We both get in some
266 00:34:38.360 ⇒ 00:34:45.230 Awaish Kumar: some intersection, but on the broader level the purpose are still the different for different projects.
267 00:34:48.530 ⇒ 00:34:49.120 Awaish Kumar: Interesting.
268 00:34:52.389 ⇒ 00:34:59.599 Amber Lin: Okay, we have 3 min left. What do you guys think is something that can help improve
269 00:34:59.779 ⇒ 00:35:04.299 Amber Lin: that situation, or is it not it? Or does it not matter that much.
270 00:35:11.010 ⇒ 00:35:12.940 Awaish Kumar: Yeah, what can.
271 00:35:18.810 ⇒ 00:35:31.029 Awaish Kumar: It’s really hard, like there are 2 ways. One is that we in internally in the team can have like these, and knowledge sharing sessions where we are talking about what we have been doing
272 00:35:32.890 ⇒ 00:35:41.040 Awaish Kumar: so far in this project, what kind of models we built and things like that? This is one of the one of the ways to handle it.
273 00:35:43.720 ⇒ 00:35:48.299 Awaish Kumar: It just still keeps in us in silos and knowledge. Sharing sessions can be avoid
274 00:35:49.078 ⇒ 00:35:55.500 Awaish Kumar: like ignored. Sometimes. Second solution is that we from
275 00:35:56.660 ⇒ 00:36:05.390 Awaish Kumar: we just start to work like assign tasks irrespective of projects. So I get task from different
276 00:36:05.930 ⇒ 00:36:10.510 Awaish Kumar: projects as well like from not just from one or 2 projects I’m assigned, but
277 00:36:10.630 ⇒ 00:36:17.879 Awaish Kumar: or out from different other projects, like depends on availability and the capacity. We just don’t put it just on one
278 00:36:18.020 ⇒ 00:36:25.670 Awaish Kumar: question, one more divide it between us. But the problem, then, is that sometimes the
279 00:36:27.130 ⇒ 00:36:37.680 Awaish Kumar: knowledge lives with the person who built it, and I work on second task based on some.
280 00:36:37.850 ⇒ 00:36:40.220 Awaish Kumar: So my my understanding and.
281 00:36:40.220 ⇒ 00:36:40.770 Amber Lin: Oh!
282 00:36:41.500 ⇒ 00:36:44.529 Awaish Kumar: So when there’s like more of urgent tickets.
283 00:36:44.810 ⇒ 00:36:47.129 Awaish Kumar: And I got assigned.
284 00:36:47.290 ⇒ 00:36:52.849 Awaish Kumar: But but the minority has more context. So I put a solution which
285 00:36:53.040 ⇒ 00:36:55.700 Awaish Kumar: which is like maybe 70% correct.
286 00:36:56.340 ⇒ 00:37:00.180 Awaish Kumar: So that that can happen in in the, in those situations.
287 00:37:01.640 ⇒ 00:37:03.739 Amber Lin: I see that makes sense, too.
288 00:37:04.735 ⇒ 00:37:08.570 Amber Lin: Any to you, do you? What do you think about this?
289 00:37:10.572 ⇒ 00:37:12.679 Annie Yu: I would say.
290 00:37:15.930 ⇒ 00:37:23.489 Annie Yu: I don’t have a a good suggestion, though. I I’m just trying to say lots of the time. We just try to move
291 00:37:23.760 ⇒ 00:37:27.019 Annie Yu: as fast as possible, so I don’t even.
292 00:37:27.020 ⇒ 00:37:27.470 Amber Lin: Huh!
293 00:37:27.470 ⇒ 00:37:31.255 Annie Yu: Yeah, like, what projects this is under, does that make sense.
294 00:37:31.600 ⇒ 00:37:32.400 Amber Lin: I see.
295 00:37:32.400 ⇒ 00:37:40.310 Annie Yu: Get it done. But that’s probably not the best practice, but it just just so if yeah, like.
296 00:37:40.310 ⇒ 00:37:40.760 Amber Lin: Oh!
297 00:37:40.760 ⇒ 00:37:45.760 Annie Yu: Trying to ask too many questions outside of the requirements.
298 00:37:45.760 ⇒ 00:37:54.259 Amber Lin: I see. Do you feel that it’s helpful, or it has been detrimental because of because we’re just moving so fast.
299 00:37:55.197 ⇒ 00:38:01.180 Annie Yu: No, I don’t have a strong opinion on that.
300 00:38:02.050 ⇒ 00:38:05.510 Annie Yu: Yes, I just, and I might
301 00:38:07.440 ⇒ 00:38:12.660 Annie Yu: need to change my mindset. But I don’t care as much as like what projects this is.
302 00:38:12.660 ⇒ 00:38:13.450 Amber Lin: Hmm.
303 00:38:14.150 ⇒ 00:38:17.410 Annie Yu: I care more about like I wanna kill this ticket.
304 00:38:29.510 ⇒ 00:38:35.149 Amber Lin: yeah, I guess like, because if we wanted to make people aware of
305 00:38:35.330 ⇒ 00:38:43.309 Amber Lin: the project and stuff that takes more that will take more time like, I guess it’s a good thing that we debate like. Is this even worth the time
306 00:38:43.950 ⇒ 00:38:44.730 Amber Lin: like?
307 00:38:45.740 ⇒ 00:38:59.709 Amber Lin: I guess that that will change. How I how I spend the team’s time essentially like in grooming. Do I need to spend that time that much time, that much time grooming? If it doesn’t matter? Let teams know
308 00:39:01.110 ⇒ 00:39:06.359 Annie Yu: I think it was good that in grooming session you you do ask what ticket this is?
309 00:39:08.010 ⇒ 00:39:15.360 Annie Yu: There, though I think that’s helpful. And and we did create an ad hoc section right.
310 00:39:15.360 ⇒ 00:39:15.840 Amber Lin: Hmm.
311 00:39:15.840 ⇒ 00:39:18.969 Annie Yu: I think that was that didn’t take much time.
312 00:39:19.916 ⇒ 00:39:25.480 Annie Yu: And that that’s only gonna help rather than harm. I would say.
313 00:39:26.075 ⇒ 00:39:28.570 Amber Lin: Okay, okay, that’s good to know.
314 00:39:28.710 ⇒ 00:39:33.839 Amber Lin: Okay, I, I think this was really productive.
315 00:39:34.511 ⇒ 00:39:39.839 Amber Lin: I think we will also have a few other things come up
316 00:39:40.820 ⇒ 00:39:45.899 Amber Lin: after we do the handoff session, and I’ll I’ll make sure that I share it with you guys.
317 00:39:49.910 ⇒ 00:39:51.050 Amber Lin: All right.
318 00:39:51.944 ⇒ 00:39:57.509 Amber Lin: Thanks, everybody. I think that’s all for the growing session. I wish you and I will hop to the next one.
319 00:39:57.760 ⇒ 00:39:59.120 Annie Yu: I think he already left.
320 00:39:59.750 ⇒ 00:40:02.500 Amber Lin: Okay, I will hop to the next one. Thank you.
321 00:40:02.820 ⇒ 00:40:03.830 Annie Yu: Bye.
322 00:40:03.830 ⇒ 00:40:05.010 Amber Lin: Alright, bye-bye.