Meeting Title: Mattermore Project Retro Date: 2025-07-11 Meeting participants: Amber Lin, Annie Yu, Luke Daque
WEBVTT
1 00:04:59.540 ⇒ 00:05:00.920 Luke Daque: Hello! Hello!
2 00:05:02.900 ⇒ 00:05:03.710 Amber Lin: Hi.
3 00:05:03.710 ⇒ 00:05:04.760 Annie Yu: Hello!
4 00:05:05.640 ⇒ 00:05:09.689 Amber Lin: Hello! This is a. This is a easy meeting.
5 00:05:09.880 ⇒ 00:05:13.430 Luke Daque: It’s just for us to talk about how things went.
6 00:05:14.620 ⇒ 00:05:15.229 Luke Daque: Yeah, I see.
7 00:05:15.230 ⇒ 00:05:18.299 Amber Lin: So, yeah, I can hear you.
8 00:05:18.700 ⇒ 00:05:22.730 Luke Daque: Can’t you let me check.
9 00:05:27.540 ⇒ 00:05:32.460 Amber Lin: So there’s this is just so we do. A oh.
10 00:05:32.460 ⇒ 00:05:33.140 Luke Daque: Hear you now.
11 00:05:33.140 ⇒ 00:05:34.410 Amber Lin: Project.
12 00:05:34.640 ⇒ 00:05:38.200 Amber Lin: Yeah, I can hear you. We can. And can you hear, Luke?
13 00:05:39.190 ⇒ 00:05:39.930 Annie Yu: Yes.
14 00:05:41.190 ⇒ 00:05:41.980 Amber Lin: Okay.
15 00:05:42.370 ⇒ 00:05:47.270 Amber Lin: Oh, wait. Where is this?
16 00:05:50.790 ⇒ 00:05:53.170 Amber Lin: Oh, interesting.
17 00:05:53.880 ⇒ 00:05:54.800 Amber Lin: Okay.
18 00:06:00.160 ⇒ 00:06:04.769 Amber Lin: Okay. I wanted us to do a project project.
19 00:06:05.060 ⇒ 00:06:10.040 Amber Lin: Retro. I think we could do wanna try this?
20 00:06:13.320 ⇒ 00:06:14.610 Amber Lin: So
21 00:06:19.850 ⇒ 00:06:30.489 Amber Lin: this is just so that we think about how we did as a as a team for this project, and how we can take our learnings and use it for the future.
22 00:06:31.460 ⇒ 00:06:43.009 Amber Lin: So if you guys can, I would love for us to take some time. I hope you all can see the whiteboard, and you can add a sticky note, I think, by by pressing N
23 00:06:43.310 ⇒ 00:06:51.150 Amber Lin: also. So add some. Add some stickies to
24 00:06:51.540 ⇒ 00:06:58.159 Amber Lin: these bubbles, and then we’ll talk about it after, say.
25 00:06:58.620 ⇒ 00:07:04.170 Amber Lin: 5 to 8 min, 5 min. All said. Is Heimer.
26 00:07:04.690 ⇒ 00:07:07.479 Amber Lin: Can everybody access the whiteboard.
27 00:07:10.700 ⇒ 00:07:13.100 Annie Yu: I think so. Yes.
28 00:07:14.140 ⇒ 00:07:15.020 Amber Lin: Great.
29 00:07:15.310 ⇒ 00:07:18.280 Luke Daque: Where? Where can I find this.
30 00:07:18.950 ⇒ 00:07:21.400 Luke Daque: It’s just in this, in the zoom.
31 00:07:21.400 ⇒ 00:07:23.139 Amber Lin: Yeah, it’s just in the zoom. I thought it was.
32 00:07:23.140 ⇒ 00:07:27.619 Luke Daque: Cool. Yeah, I thought there was like, I needed to go somewhere. But yeah.
33 00:07:27.620 ⇒ 00:07:32.950 Amber Lin: Yeah, usually there is. But I think this is okay.
34 00:07:33.320 ⇒ 00:07:37.060 Amber Lin: I started the timer 5 min. I’ll I’ll write some things down.
35 00:07:46.403 ⇒ 00:07:48.526 Luke Daque: Trying to remember what we did.
36 00:07:59.780 ⇒ 00:08:03.539 Amber Lin: I guess I we can also have a section for
37 00:08:04.300 ⇒ 00:08:08.099 Amber Lin: like didn’t like. If you want to put anything there.
38 00:08:09.570 ⇒ 00:08:13.149 Annie Yu: Oh, wait! Are we focusing on one section at a time? Is that.
39 00:08:13.150 ⇒ 00:08:20.940 Amber Lin: No, just just put in whatever I added like didn’t like section at the top, because there’s some things I did not like.
40 00:08:22.620 ⇒ 00:08:23.170 Amber Lin: Hi.
41 00:08:23.170 ⇒ 00:08:27.119 Luke Daque: Yes, we that can be in the law for right, but like it’s just.
42 00:08:27.120 ⇒ 00:08:31.962 Amber Lin: True, but it’s so positive. I have negative emotions.
43 00:08:38.250 ⇒ 00:08:38.890 Luke Daque: Huh!
44 00:09:04.530 ⇒ 00:09:08.980 Luke Daque: Wow! So many didn’t like no umbrella.
45 00:09:09.426 ⇒ 00:09:11.210 Amber Lin: It’s just for me.
46 00:09:12.990 ⇒ 00:09:14.999 Annie Yu: No, same. Here.
47 00:09:32.490 ⇒ 00:09:35.729 Annie Yu: wait! What’s which ones didn’t like is that.
48 00:09:35.730 ⇒ 00:09:38.160 Amber Lin: Guys at the top. It’s above liked.
49 00:09:38.160 ⇒ 00:09:39.230 Annie Yu: Oh, okay.
50 00:09:39.230 ⇒ 00:09:44.449 Amber Lin: Yeah, I just made another one. So my 1st time using this template. So I don’t know either.
51 00:09:44.450 ⇒ 00:09:45.220 Annie Yu: Okay.
52 00:10:09.840 ⇒ 00:10:10.530 Luke Daque: Oh!
53 00:12:33.650 ⇒ 00:12:36.220 Amber Lin: Okay, do we need 2 more minutes.
54 00:12:39.494 ⇒ 00:12:40.179 Annie Yu: Sure!
55 00:12:40.490 ⇒ 00:12:41.240 Amber Lin: Okay.
56 00:14:28.520 ⇒ 00:14:31.889 Annie Yu: By the way, can you guys hear me type or.
57 00:14:31.890 ⇒ 00:14:32.265 Amber Lin: Oh!
58 00:14:32.640 ⇒ 00:14:33.500 Annie Yu: No yes.
59 00:14:33.500 ⇒ 00:14:36.729 Luke Daque: No, no, we can’t hear you.
60 00:14:37.190 ⇒ 00:14:43.869 Annie Yu: I feel like I always type very loudly, and I always wonder if others can hear. Wait, so you hear nothing.
61 00:14:43.870 ⇒ 00:14:45.840 Amber Lin: Nope, no anything.
62 00:14:45.840 ⇒ 00:14:51.440 Annie Yu: Yeah, I guess zoom is doing a good job in like suppressing typing noises or something.
63 00:14:51.440 ⇒ 00:14:52.070 Annie Yu: Okay.
64 00:14:52.350 ⇒ 00:14:58.980 Amber Lin: Okay, can we take 2 min to read what everybody
65 00:14:59.535 ⇒ 00:15:12.654 Amber Lin: wrote, and also add stamps, or just add, say, I think if you click, click on it. If you click on the note, you can add an emoji. So if you agree with it,
66 00:15:13.270 ⇒ 00:15:18.839 Amber Lin: add a action to it, so I’ll set 2 min. We’ll read everything, and we’ll discuss.
67 00:16:24.760 ⇒ 00:16:28.720 Luke Daque: We all have 10 min, it looks like, and then there’s another retro.
68 00:16:32.405 ⇒ 00:16:44.060 Amber Lin: but it it will be alright. ABC won’t take too long. It just we should talk about like there’s 1 or 2 things we should talk about, that’s all. If we go over this. It’s okay.
69 00:16:44.560 ⇒ 00:16:54.559 Amber Lin: actually, that’s what I that’s what I’ll do. Keep doing this. I’ll move the ABC back 10 min. It can. It can just be like.
70 00:16:56.410 ⇒ 00:16:58.120 Amber Lin: 20 min retro.
71 00:17:18.569 ⇒ 00:17:25.230 Amber Lin: Okay, let’s let’s regroup.
72 00:17:29.420 ⇒ 00:17:30.330 Amber Lin: Okay.
73 00:17:33.760 ⇒ 00:17:40.379 Amber Lin: okay, I’m gonna put on the right? I’m gonna say, these are are.
74 00:17:41.170 ⇒ 00:17:42.860 Luke Daque: Takeaways.
75 00:17:43.260 ⇒ 00:17:46.970 Amber Lin: And we can put it there.
76 00:17:55.580 ⇒ 00:18:09.010 Amber Lin: I think this does any. Okay, we only have 2 people. I’ll let everyone talk about what they think, and then I’ll write things down as you talk. So Annie, or Luke, one of you, go ahead.
77 00:18:12.190 ⇒ 00:18:21.652 Annie Yu: Yeah, I think after reading through everyone’s notes, I feel like we have pretty like there’s consensus.
78 00:18:22.470 ⇒ 00:18:22.800 Luke Daque: Okay.
79 00:18:22.800 ⇒ 00:18:33.179 Annie Yu: I think from the beginning what we like really lacked was a clear requirement from from the client, and I feel like they were just
80 00:18:33.360 ⇒ 00:18:39.740 Annie Yu: I think, initially, we thought, okay, we were just gonna deliver some visuals. And then
81 00:18:40.010 ⇒ 00:18:45.640 Annie Yu: slowly, we realized, okay, they didn’t really know what they wanted. So there was no like
82 00:18:46.190 ⇒ 00:19:01.711 Annie Yu: clear steps and requirements, and I feel like the client just threw lots, lots of different ideas at different times, so it was hard to like, be grounded to like a certain thing at a time, but also feel like
83 00:19:02.340 ⇒ 00:19:13.990 Annie Yu: During the middle of the project we did that kind of regroup session. It was really helpful. I don’t think we have any more like hiccups. After that I think things went very smoothly.
84 00:19:15.890 ⇒ 00:19:21.330 Amber Lin: Yeah, I I totally agree. And I mean.
85 00:19:21.540 ⇒ 00:19:34.827 Amber Lin: what the regroup tells us is probably that we should raise these problems more often like if and
86 00:19:35.550 ⇒ 00:19:43.540 Amber Lin: point out when we need a regroup, and probably even as a
87 00:19:43.640 ⇒ 00:19:56.760 Amber Lin: as a step, we could have, like a mid project check in or like every sprint check in
88 00:19:57.840 ⇒ 00:20:00.059 Amber Lin: is what I what I just thought of.
89 00:20:01.760 ⇒ 00:20:03.329 Amber Lin: What do you think.
90 00:20:05.900 ⇒ 00:20:12.630 Luke Daque: Yeah, I definitely agree. Yeah, it looks like we do have the same sentiment, like everybody
91 00:20:12.810 ⇒ 00:20:21.930 Luke Daque: is not very happy with, like how the client was giving us the requirements, and, like even the access levels, like it
92 00:20:22.220 ⇒ 00:20:25.379 Luke Daque: was one of the biggest blockers, or, like.
93 00:20:26.220 ⇒ 00:20:28.629 Luke Daque: Yeah, like that we had for like.
94 00:20:28.750 ⇒ 00:20:31.510 Luke Daque: it even spanned for a couple of weeks. I guess.
95 00:20:32.020 ⇒ 00:20:38.500 Luke Daque: So, yeah, and yeah, what personally, like, I was just like.
96 00:20:39.163 ⇒ 00:20:41.216 Luke Daque: I think you already know. But like
97 00:20:41.640 ⇒ 00:20:54.650 Luke Daque: I wasn’t really happy with like doing the data models with the synthetic data that we had, and because I was very sure that what we were gonna do it again differently when the real data comes, because it’s never
98 00:20:54.840 ⇒ 00:21:02.339 Luke Daque: we won’t really know what it looks like, and like any errors or issues that we encounter, and stuff like that. But.
99 00:21:02.520 ⇒ 00:21:03.020 Amber Lin: Yeah.
100 00:21:03.020 ⇒ 00:21:06.929 Luke Daque: Yeah, what I also do really like, though, was like
101 00:21:07.500 ⇒ 00:21:16.030 Luke Daque: especially when Annie was on leave, and we were able to still work on like updating the power bi stuff. So basically, like everybody was
102 00:21:16.220 ⇒ 00:21:21.039 Luke Daque: able to help each other out and not just like it’s not just like one person.
103 00:21:22.084 ⇒ 00:21:25.029 Luke Daque: I don’t know how to explain. It’s like we’re not
104 00:21:26.151 ⇒ 00:21:29.940 Luke Daque: counting on just one person to do a certain
105 00:21:30.190 ⇒ 00:21:32.919 Luke Daque: task and stuff like that. So that’s a good.
106 00:21:33.360 ⇒ 00:21:33.760 Amber Lin: Yeah.
107 00:21:33.760 ⇒ 00:21:38.379 Luke Daque: And improvement for like the team dynamics and stuff like that. So yeah.
108 00:21:38.380 ⇒ 00:21:43.997 Amber Lin: Oh, that’s so. That’s so. Right. I wanna write that down. So
109 00:21:45.710 ⇒ 00:22:00.320 Amber Lin: so that means that we have like still overlap redundancy to cover somewhere. That’s on leave.
110 00:22:02.490 ⇒ 00:22:11.209 Amber Lin: So I wrote down for the your last point. I wrote down. So when we are in the future, when we’re staffing the teams to have that
111 00:22:11.370 ⇒ 00:22:19.449 Amber Lin: skill set, or even as a good team, professional development.
112 00:22:19.570 ⇒ 00:22:22.480 Amber Lin: That’s something we could do. And
113 00:22:22.840 ⇒ 00:22:33.740 Amber Lin: the other one i i’ve really, I’m glad that you pointed out that the synthetic data is probably not really aligned.
114 00:22:36.290 ⇒ 00:22:43.170 Amber Lin: with the what real data will come in. Oh.
115 00:22:46.100 ⇒ 00:22:49.339 Amber Lin: wait! I feel like I didn’t summarize your point.
116 00:22:50.050 ⇒ 00:22:56.779 Annie Yu: On this one. I think one thing that I actually just learned toward the end of the project was
117 00:22:57.060 ⇒ 00:23:01.700 Annie Yu: cause. I like totally agree with Luke. I think when.
118 00:23:02.740 ⇒ 00:23:08.730 Annie Yu: like, initially, I thought, okay, we were just doing the synthetic data. But eventually we’ll get the actual data, and then
119 00:23:08.930 ⇒ 00:23:32.830 Annie Yu: everything will require like a redo like looks at. And it’s not just like a plug and play. When actually that comes in, we’ll definitely have to spend more time there. So I feel like a like a waste of time working on synthetic data that like for every step. But then I think I did not know until the end of the project that.
120 00:23:33.280 ⇒ 00:23:37.869 Annie Yu: You were never gonna get access to actual data? Or was that.
121 00:23:37.870 ⇒ 00:23:38.610 Luke Daque: Yeah.
122 00:23:38.610 ⇒ 00:23:40.679 Annie Yu: Yeah, I think I just learned that
123 00:23:41.165 ⇒ 00:23:44.519 Annie Yu: after I came back, or like before I left.
124 00:23:44.690 ⇒ 00:23:45.650 Annie Yu: So was.
125 00:23:45.650 ⇒ 00:23:45.980 Amber Lin: Oh!
126 00:23:45.980 ⇒ 00:23:56.689 Annie Yu: Something that changed during the project or the initial expectation was always that we we were gonna only work on synthetic synthetic data.
127 00:23:58.020 ⇒ 00:24:10.370 Amber Lin: Yeah, I I really agree with that. I think they also one. The client also didn’t know. So then they weren’t able. They wanted us to assume that we’ll get the real data. But I think
128 00:24:10.780 ⇒ 00:24:28.180 Amber Lin: we should point out the difference in in our project approach if we knew we won’t be getting
129 00:24:29.830 ⇒ 00:24:34.929 Amber Lin: real data. Cause then, Luke, I don’t think you would feel that you’re working.
130 00:24:35.545 ⇒ 00:24:36.160 Annie Yu: Times.
131 00:24:36.160 ⇒ 00:24:44.589 Amber Lin: Time. Because that’s we’re we’re getting paid for just making synthetic data work. And I also think there was another thing of like
132 00:24:44.880 ⇒ 00:24:46.330 Amber Lin: the project
133 00:24:46.600 ⇒ 00:24:54.710 Amber Lin: purpose. Because I think for a long time all 3 of us were just really really confused on, like.
134 00:24:54.870 ⇒ 00:25:03.840 Amber Lin: why, we’re even doing this project, especially when we thought they were getting the real client data. I was like, why are you bringing us on now
135 00:25:04.270 ⇒ 00:25:14.569 Amber Lin: for just to just to fiddle around and make you feel safer like. I didn’t really understand why they were throwing money away. But I was like, if they’re paying us like, okay.
136 00:25:14.570 ⇒ 00:25:19.699 Annie Yu: To be fair. I think, Utop initiated that I think, proposed that, like.
137 00:25:19.700 ⇒ 00:25:24.529 Amber Lin: I know. Okay. So so he if he knew, then he didn’t tell us like.
138 00:25:24.929 ⇒ 00:25:25.330 Annie Yu: Okay.
139 00:25:25.760 ⇒ 00:25:34.060 Amber Lin: Like, why are we doing this project like? Why our clients
140 00:25:34.540 ⇒ 00:25:47.830 Amber Lin: spending money? I don’t think either of us had, like consensus of the project purpose. I don’t think we had consensus of like how this project would be built out.
141 00:25:49.540 ⇒ 00:25:59.050 Amber Lin: like I. I feel like we kind of knew that we needed the data, and then we needed the modeling, but that it was so high level that we didn’t have a clear plan.
142 00:26:00.560 ⇒ 00:26:01.370 Annie Yu: Yeah.
143 00:26:02.370 ⇒ 00:26:07.639 Amber Lin: So that’s the that’s the thing.
144 00:26:08.580 ⇒ 00:26:17.470 Amber Lin: Yeah. And oh, going back to Annie to your 1st one, I think that’s what we all agree with is, we really should get the requirements
145 00:26:17.600 ⇒ 00:26:27.270 Amber Lin: in place as before we start, and
146 00:26:28.610 ⇒ 00:26:41.209 Amber Lin: and if they require anything else, they need to officially request scope, change.
147 00:26:41.370 ⇒ 00:26:51.250 Amber Lin: cause. I I still remember that meeting where he was just talking to you directly. And then he was like this, that that and I was like, what the what the hell is going on.
148 00:26:52.130 ⇒ 00:26:59.900 Amber Lin: It was like he just had this random request, and it it was
149 00:27:00.090 ⇒ 00:27:17.390 Amber Lin: out of scope from what they originally requested, because they never requested that. But now he’s saying that, and because we never confirmed that that was our original scope. We kind of just had to do what he what he said. So we need something to defend like our work.
150 00:27:19.660 ⇒ 00:27:20.420 Amber Lin: Yeah.
151 00:27:22.130 ⇒ 00:27:24.823 Annie Yu: I think we definitely did some detour there.
152 00:27:25.160 ⇒ 00:27:25.940 Amber Lin: Yeah.
153 00:27:32.660 ⇒ 00:27:39.070 Amber Lin: And then think in terms of like just project management.
154 00:27:39.970 ⇒ 00:27:44.270 Amber Lin: More communications are helpful.
155 00:27:47.110 ⇒ 00:27:56.420 Amber Lin: even if they don’t respond. I can say that I did communicate, and they will read it, but they most of the time don’t respond. And also to
156 00:27:57.950 ⇒ 00:27:59.600 Amber Lin: require.
157 00:28:09.630 ⇒ 00:28:16.699 Amber Lin: okay, I think that’s our. That’s our takeaways. Is there anything else that
158 00:28:16.900 ⇒ 00:28:20.349 Amber Lin: you would say if someone were to do a future project?
159 00:28:22.250 ⇒ 00:28:25.869 Amber Lin: What would you say? We we would take away from this
160 00:28:26.250 ⇒ 00:28:34.659 Amber Lin: a future project or a client similar to this, where maybe just about the type of client we take and stuff just any any comments.
161 00:28:36.611 ⇒ 00:28:43.110 Annie Yu: For me one other learning, and I actually, I don’t think it’s a black and white thing, but.
162 00:28:43.110 ⇒ 00:28:43.510 Amber Lin: Hello!
163 00:28:43.510 ⇒ 00:28:52.239 Annie Yu: Like after like that midpoint. I’m like I refuse to talk to Matthew from now.
164 00:28:52.240 ⇒ 00:28:55.820 Amber Lin: Saw you hop off, girl. I saw you on the last meeting.
165 00:28:55.820 ⇒ 00:28:56.550 Annie Yu: And I.
166 00:28:56.550 ⇒ 00:28:59.101 Amber Lin: John, you saw his face, and you left.
167 00:28:59.420 ⇒ 00:29:03.789 Annie Yu: No, yeah. And I stand by that. I’m like, I feel like, because
168 00:29:04.050 ⇒ 00:29:31.110 Annie Yu: how I had to talk to him. It led to so much miscommunication. So I also remember telling you, Amber, I’m I’m just gonna talk to you from now on. You’re you’re my Pm, you. You communicate with them. But I feel like in different projects. There are always times that like in Eden. Sometimes I still have to talk to a stakeholder, which is fine, I think, because they have a very clear question, that we can just directly communicate.
169 00:29:31.110 ⇒ 00:29:31.500 Amber Lin: Oh!
170 00:29:31.500 ⇒ 00:29:42.659 Annie Yu: On. So I feel like it’s not black and white. But when I think for me it’s like when the client is not clear himself. I’m not gonna talk to him.
171 00:29:43.020 ⇒ 00:29:48.560 Amber Lin: And okay, yeah, let me create one. So.
172 00:29:48.941 ⇒ 00:29:51.989 Annie Yu: Yeah, you saw me. I also like.
173 00:29:51.990 ⇒ 00:29:52.590 Amber Lin: It’s so.
174 00:29:52.590 ⇒ 00:30:01.415 Annie Yu: I am. I was seeing the names I’m like, Okay, I don’t recognize this person and embers here. Looks not here. I wish it’s not here. Okay. I’m out.
175 00:30:04.243 ⇒ 00:30:12.990 Amber Lin: So only only let engineers clients
176 00:30:13.220 ⇒ 00:30:16.829 Amber Lin: talk to Engineer Luke. What about you?
177 00:30:20.050 ⇒ 00:30:26.630 Luke Daque: I don’t know like I I wasn’t there in that meeting or something, but I can understand Annie’s point.
178 00:30:28.600 ⇒ 00:30:30.000 Luke Daque: But it also
179 00:30:30.460 ⇒ 00:30:34.610 Luke Daque: that could. Also, I don’t know like it. It can mean 2 things right. It can be
180 00:30:34.750 ⇒ 00:30:43.010 Luke Daque: a good learning experience for growth, for the engineers as well, and data analysts, and they and stuff like that
181 00:30:43.610 ⇒ 00:30:50.260 Luke Daque: in terms of communication. But yeah, it’s all it’s. It’s difficult, like, it has its
182 00:30:51.830 ⇒ 00:30:54.359 Luke Daque: like pros and cons, I guess
183 00:30:54.820 ⇒ 00:30:59.140 Luke Daque: it’s not. All. People are very good at like communicating. And
184 00:30:59.830 ⇒ 00:31:03.889 Luke Daque: yeah, it could just lead to misunderstanding like Annie mentioned.
185 00:31:04.910 ⇒ 00:31:16.330 Annie Yu: Like if it’s about still about figuring out requirements. That’s something that’s where I like. I don’t want to be. But if it’s something we already we have already.
186 00:31:16.330 ⇒ 00:31:17.060 Amber Lin: Oh!
187 00:31:17.060 ⇒ 00:31:19.730 Annie Yu: Delivering. I feel like that’s.
188 00:31:19.730 ⇒ 00:31:20.470 Luke Daque: Yeah.
189 00:31:20.470 ⇒ 00:31:21.170 Annie Yu: Place where we.
190 00:31:21.170 ⇒ 00:31:22.890 Luke Daque: That’s a good point. Yeah.
191 00:31:24.530 ⇒ 00:31:35.460 Amber Lin: Get caught with figuring out requirements with the client. It should be
192 00:31:39.340 ⇒ 00:31:43.780 Amber Lin: so. The sales tech lead and Pm. Should figure out the requirements. I agree?
193 00:31:44.642 ⇒ 00:32:08.549 Amber Lin: I think. Oh, another thing that I remembered we should escalate internally first, st before we escalate to the client. I think we did a really good job later on, of escalating to me, and then to away internally before the client cause some of the things we just need another pair of eyes to look at it, and we’re like, Oh, never mind.
194 00:32:08.550 ⇒ 00:32:24.780 Amber Lin: and then the client will get will get really annoyed if we keep asking them those questions when we can solve it internally. So I think that’s just like a team charter, like team agreement thing that we will. We will implement for new projects that’s work at what I can think of
195 00:32:24.820 ⇒ 00:32:29.820 Amber Lin: and like, I guess, similarly, like to like SAI,
196 00:32:30.090 ⇒ 00:32:33.650 Amber Lin: if needed, like same thing for that.
197 00:32:34.710 ⇒ 00:32:36.600 Amber Lin: That’s what I can think of.
198 00:32:37.880 ⇒ 00:32:38.969 Luke Daque: That makes sense.
199 00:32:40.150 ⇒ 00:32:41.660 Amber Lin: Yeah, okay.
200 00:32:41.930 ⇒ 00:32:57.089 Amber Lin: I mean, that’s the close of the project. Thank you. Everybody. I think we had a lot of learnings from this client because it was a it was a. It was a bumpy ride, and I I really enjoy working with both of you.
201 00:32:57.750 ⇒ 00:32:58.900 Annie Yu: Same here, and.
202 00:32:58.900 ⇒ 00:32:59.360 Amber Lin: Thanks.
203 00:32:59.580 ⇒ 00:33:03.409 Annie Yu: What was the final accession about.
204 00:33:03.870 ⇒ 00:33:06.120 Amber Lin: Oh, they had an in-house.
205 00:33:06.680 ⇒ 00:33:15.229 Amber Lin: this data, scientists come on. So it was just for me to show him. Hey, this is where things are. This is what it looks like.
206 00:33:15.340 ⇒ 00:33:18.180 Amber Lin: It’s just like a final handoff.
207 00:33:18.480 ⇒ 00:33:19.509 Annie Yu: Hmm, hmm.
208 00:33:19.690 ⇒ 00:33:20.550 Amber Lin: Yeah.
209 00:33:24.880 ⇒ 00:33:26.430 Amber Lin: don’t you? All?
210 00:33:26.570 ⇒ 00:33:30.699 Amber Lin: Well, we’re all in the next retro.
211 00:33:32.160 ⇒ 00:33:41.419 Amber Lin: yeah, Annie, I feel like you don’t have to be on necessarily, because there’s not really much that you were asked to do this this time.
212 00:33:43.040 ⇒ 00:33:45.614 Annie Yu: Yeah, I can drink the next one. Yeah.
213 00:33:45.900 ⇒ 00:34:00.300 Amber Lin: Okay, you can skip it, I think. Mostly Uta wanted us like as a team to talk about like. Why, why, the dashboard was left out so long. But I think that’s it.
214 00:34:00.860 ⇒ 00:34:01.360 Amber Lin: So.
215 00:34:01.360 ⇒ 00:34:01.820 Luke Daque: Okay.
216 00:34:01.820 ⇒ 00:34:03.809 Amber Lin: We’ll hop to that one.
217 00:34:04.310 ⇒ 00:34:07.239 Luke Daque: Sounds good. See you there? Bye-bye.
218 00:34:07.240 ⇒ 00:34:08.567 Amber Lin: You too, bye.