Meeting Title: ABC Retro Date: 2025-07-11 Meeting participants: Luke Daque, Mustafa Raja, Amber Lin


WEBVTT

1 00:01:01.390 00:01:02.700 Amber Lin: Hello!

2 00:01:05.530 00:01:08.400 Amber Lin: Do we know if Casey is gonna be joining.

3 00:01:09.361 00:01:11.230 Mustafa Raja: He’s online. I can ping him.

4 00:01:11.780 00:01:12.580 Amber Lin: Okay.

5 00:01:12.760 00:01:24.069 Amber Lin: it will be a quick discussion. It’s just one. I I just have item I want to discuss. And that’s it. Cause this wasn’t a really, this wasn’t a very structured

6 00:01:24.300 00:01:29.530 Amber Lin: cycle. So next next sprint we’ll have more to talk about.

7 00:01:31.380 00:01:31.910 Mustafa Raja: Yep.

8 00:02:01.600 00:02:03.630 Mustafa Raja: yeah, I’ve pinged him. Let’s see if he comes.

9 00:02:04.170 00:02:04.950 Amber Lin: Okay.

10 00:02:14.620 00:02:16.969 Mustafa Raja: Yeah. He’s having some trouble connecting.

11 00:02:20.070 00:02:21.140 Amber Lin: Alright!

12 00:02:21.340 00:02:25.119 Amber Lin: We’ll give him 3 more minutes. We’ll have enough.

13 00:06:06.420 00:06:15.339 Amber Lin: all right, will not wait. Let me see.

14 00:06:20.880 00:06:22.060 Amber Lin: Okay.

15 00:06:54.890 00:07:09.213 Amber Lin: okay, yeah, I think what we wanted to talk about and myself is less related to you was who don’t wanted us to talk about why, the dashboard was left out for so long when it was

16 00:07:10.020 00:07:12.420 Amber Lin: when it was left. Optional.

17 00:07:13.580 00:07:14.300 Mustafa Raja: Out!

18 00:07:15.430 00:07:17.950 Amber Lin: I think it’s a lot less related to. You must.

19 00:07:17.950 00:07:20.438 Mustafa Raja: Yeah, yeah, not at all related to me.

20 00:07:21.880 00:07:23.930 Mustafa Raja: Yeah, let me know if I if I should drop them.

21 00:07:24.460 00:07:25.940 Amber Lin: Okay. Yeah. Sure.

22 00:07:25.940 00:07:28.379 Mustafa Raja: Yeah, okay, okay, thank you so much.

23 00:07:28.770 00:07:29.939 Amber Lin: Okay, yeah. Bye-bye.

24 00:07:29.940 00:07:39.920 Amber Lin: Hi, look, I wanted Casey to be here. Cause it’s not. It’s just not. It’s not just you and me. It’s like the it’s

25 00:07:40.430 00:07:46.310 Amber Lin: like. Casey was also helping solve it. A wish was also helping solve it. So I wanted.

26 00:07:46.750 00:07:47.270 Luke Daque: Yeah.

27 00:07:47.270 00:07:57.670 Amber Lin: As well. I can send. We can send what we think in the Channel. We can ask it for their feedback. Right? Honestly, I think it.

28 00:07:58.420 00:08:18.940 Amber Lin: It starts from me, and then it’s the. It’s the team members. So I know that I didn’t make it as urgent of an issue, like, I know, I checked in each day. But it was like, Oh, Luke, what about the dashboard? You’re like, Oh, yeah, it’s it’s being fixed. And I was like, Okay, great, it’s being fixed. And that went on for like

29 00:08:19.050 00:08:20.510 Amber Lin: 3, 4 a day.

30 00:08:21.055 00:08:35.209 Amber Lin: So like, I know, I could have made it a more urgent issue and ask you to escalate because I didn’t. I don’t think I made you understand the importance of it, so I like. I personally, I don’t blame you.

31 00:08:36.220 00:08:41.579 Luke Daque: Yeah, that was a weird thing like there was a lot going on as well, like.

32 00:08:42.419 00:08:46.659 Luke Daque: like I had like a millions of tasks from it.

33 00:08:47.010 00:08:48.440 Luke Daque: Stuff like ait.

34 00:08:49.010 00:08:52.189 Luke Daque: Data like, yeah. And then

35 00:08:53.250 00:09:03.340 Luke Daque: what else happened there? I think I was just recently added to ABC. So I didn’t really know, like, I didn’t even know who created the the dashboard and stuff like that.

36 00:09:03.340 00:09:05.930 Luke Daque: Yeah, yeah, you know, like, why.

37 00:09:06.310 00:09:11.999 Luke Daque: why that failed. So like, I had to get full context, like, try to understand.

38 00:09:12.000 00:09:12.540 Amber Lin: Yeah.

39 00:09:12.540 00:09:13.270 Luke Daque: Go into the.

40 00:09:13.270 00:09:14.119 Amber Lin: I see.

41 00:09:14.120 00:09:17.679 Luke Daque: The real instance and like, understand? Like, what?

42 00:09:18.191 00:09:20.099 Luke Daque: What do you call this?

43 00:09:20.330 00:09:26.000 Luke Daque: What credentials were being used and stuff like that? So yeah. And then.

44 00:09:26.280 00:09:31.640 Luke Daque: yeah, it was just a couple of things that I guess we’re

45 00:09:31.820 00:09:34.850 Luke Daque: went on top of each other, including

46 00:09:35.300 00:09:42.630 Luke Daque: the the update from from real itself where they no longer allowed

47 00:09:42.810 00:09:49.090 Luke Daque: a specific using a username and password to log to connect to a snowflake.

48 00:09:50.190 00:09:57.880 Luke Daque: Database. So they they change it to something else like they it needed to be using.

49 00:09:58.600 00:10:00.370 Luke Daque: What is that? The the

50 00:10:00.520 00:10:09.709 Luke Daque: the Jwt authentication. I guess that was why it failed. Because initially, when whoever created that dashboard

51 00:10:10.536 00:10:14.110 Luke Daque: it was originally using a username and password.

52 00:10:14.500 00:10:14.920 Amber Lin: And.

53 00:10:14.920 00:10:22.880 Luke Daque: Some point, Rio said, that we won’t allow that anymore. So maybe that’s why it got broken. I I don’t really know the exact.

54 00:10:22.880 00:10:44.370 Amber Lin: Yeah, like, I really think it was so many, so much stuff going on. I like, I, personally, I should have been more linear like, oh, this must be done before Thursday, but I kind of knew that it was a lot going on like the snowflake. The snowflake and real stuff are completely separate.

55 00:10:44.370 00:10:44.690 Luke Daque: Exactly.

56 00:10:44.690 00:11:00.400 Amber Lin: And but they happen in the same time, and then, and like you didn’t have access to most of the things. So is I guess it’s more of a I feel like we onboarded you

57 00:11:01.540 00:11:04.769 Amber Lin: too late. And the task was

58 00:11:05.000 00:11:09.049 Amber Lin: we we didn’t account for like

59 00:11:09.650 00:11:25.180 Amber Lin: onboarding time, like I I feel like we threw you on there and was like, Okay, look, do this. You didn’t have any anything to do it with. And there was external factors that delayed the process.

60 00:11:25.180 00:11:30.030 Luke Daque: Yeah. I also didn’t like realize that I was like this, the

61 00:11:30.770 00:11:33.929 Luke Daque: I was the one who was supposed to solve it, or something like that, like.

62 00:11:33.930 00:11:34.710 Amber Lin: Yeah, okay.

63 00:11:34.710 00:11:39.100 Amber Lin: There was no. I think there was no linear task for that, even right? So.

64 00:11:39.220 00:11:54.820 Luke Daque: So when I was like when I log in for the day I was just. I just take a look at whatever linear tasks were assigned to me, and like pretty much, I guess, forgot about that, because I was like working on the the ones that were assigned to me, and stuff like that. So

65 00:11:55.420 00:11:59.839 Luke Daque: yeah, that’s also like one of the things. I guess.

66 00:12:00.620 00:12:04.640 Amber Lin: Yeah, okay, I’m writing that down made.

67 00:12:13.630 00:12:18.329 Amber Lin: Okay? And then over, okay, over.

68 00:12:36.340 00:12:48.469 Amber Lin: okay, sounds good. I think in terms of that. Would you be able to push back cause I feel like it. You should not be

69 00:12:48.700 00:13:12.360 Amber Lin: like I wouldn’t say acute, because I don’t think anyone’s accusing anyone here. But like if if someone says Hey, you should have done that. But then you could have said like, maybe next time in the when something’s assigned to you. You can say, Hey, I’ve been on boarded for less than a week. I don’t have access. Those are external factors. They’re kind of

70 00:13:12.770 00:13:13.540 Amber Lin: like

71 00:13:13.710 00:13:24.900 Amber Lin: you should expect a longer time frame like, maybe that’s something you can say next time, so that so that, like the Pm’s or Utumn knows that. Okay, like

72 00:13:25.020 00:13:25.550 Amber Lin: this.

73 00:13:25.550 00:13:27.650 Luke Daque: Wasn’t born.

74 00:13:28.030 00:13:28.830 Amber Lin: Yeah.

75 00:13:35.040 00:13:36.870 Amber Lin: into.

76 00:13:36.870 00:13:43.220 Luke Daque: Yeah, I think that’s something I really need to improve on as well, because, like, I’m like the type of person who just like.

77 00:13:43.490 00:13:43.850 Amber Lin: On, the.

78 00:13:43.850 00:13:47.730 Luke Daque: If I got assigned to task. I just say yes, and like, just try, yeah.

79 00:13:47.730 00:13:49.980 Amber Lin: I don’t really.

80 00:13:50.520 00:13:53.610 Luke Daque: I’m not very good at pushing that, basically. And.

81 00:13:53.610 00:13:54.450 Amber Lin: Yeah.

82 00:13:54.840 00:13:58.810 Luke Daque: Yeah, that’s what I notice. I don’t know. It’s just my personality, I guess.

83 00:13:59.530 00:14:05.290 Amber Lin: I see cause I I know that sometimes

84 00:14:06.330 00:14:34.559 Amber Lin: especially for certain tasks, like the estimate. I think when when I talked to Foram like we realized for a few engineers, it’s like the estimate was one thing, and the actual time taken was another thing and was very confused. It’s like, why did they say yes to this? Why wasn’t it like the estimate? And I think it was because people said yes, because they just want, because they couldn’t say no

85 00:14:34.560 00:14:53.959 Amber Lin: like the estimate probably should have just been longer, and then that would have solved everything because I like. If we said it was due Friday. It was 5 points instead of 2 points. We wouldn’t be nagging it, nagging about it. On Tuesday we would say, Okay, we said this at 5 points it will take until

86 00:14:54.030 00:14:56.190 Amber Lin: Friday, but then it’s like.

87 00:14:59.090 00:15:03.689 Luke Daque: The estimates are is a bit once as well like cause it can be

88 00:15:04.750 00:15:07.250 Luke Daque: like real, like in terms of like.

89 00:15:07.560 00:15:07.940 Amber Lin: It’s do.

90 00:15:07.940 00:15:11.830 Luke Daque: Points, but then, if, like, I’ve I’m assigned

91 00:15:12.140 00:15:18.920 Luke Daque: 10 tasks of 2 points, then for sure I won’t be able to to finish everything in.

92 00:15:20.100 00:15:25.290 Luke Daque: Like something like that, right like in Friday or something, because it’s

93 00:15:25.530 00:15:28.220 Luke Daque: it’s already 12 points, tasks.

94 00:15:28.220 00:15:28.980 Amber Lin: Yeah.

95 00:15:28.980 00:15:30.210 Luke Daque: Right? Something like that.

96 00:15:31.340 00:15:34.220 Amber Lin: What projects are you currently on right now?

97 00:15:38.362 00:15:39.958 Luke Daque: I guess the

98 00:15:41.170 00:15:46.590 Luke Daque: What am I on? So, ABC, I have.

99 00:15:46.820 00:15:49.180 Luke Daque: The mattermore is not there anymore.

100 00:15:51.460 00:15:52.280 Luke Daque: It doesn’t check.

101 00:15:52.280 00:15:53.540 Amber Lin: And the AI team.

102 00:15:54.050 00:15:58.460 Luke Daque: AI team data platform, 2 parts.

103 00:16:00.640 00:16:06.590 Luke Daque: Urban stems, I guess, because, like, I have asking Urban Sims.

104 00:16:08.460 00:16:10.660 Luke Daque: yeah, I guess that’s about it.

105 00:16:20.820 00:16:45.759 Amber Lin: Yeah, okay, maybe we could talk to Ujam about like prioritization. Guidance from him of like cause. When I was managing both the internal and external projects. I was also like some tasks, just get dropped, and then bad things happen. But then told me, okay, like, if if you have an external project, and then an internal project. If

106 00:16:46.520 00:16:50.569 Amber Lin: they’re competing, then do the extra do the client project?

107 00:16:50.570 00:16:51.020 Amber Lin: Yeah.

108 00:16:51.800 00:16:59.170 Luke Daque: That’s basically what I was doing. But then, because I was always doing client stuff

109 00:16:59.756 00:17:03.680 Luke Daque: the like. The AI tickets got delayed, and then.

110 00:17:03.680 00:17:04.210 Amber Lin: Oh!

111 00:17:04.210 00:17:06.599 Luke Daque: That’s a time when, like Uttan was already like, thanks

112 00:17:06.609 00:17:10.859 Luke Daque: nagging me about like, Hey, when’s when’s this gonna be done? So I had to.

113 00:17:11.460 00:17:12.079 Amber Lin: Aha!

114 00:17:12.089 00:17:14.799 Luke Daque: And work on it, and stuff like that. I guess.

115 00:17:14.800 00:17:16.610 Amber Lin: I see? I see. Okay,

116 00:17:22.530 00:17:23.849 Amber Lin: okay. I’m just writing.

117 00:17:23.859 00:17:24.399 Luke Daque: Yes.

118 00:17:24.560 00:17:25.060 Amber Lin: Now.

119 00:17:25.069 00:17:31.229 Luke Daque: Yeah, it’s really it’s not, I guess, a straightforward fix for this. I guess it’s just

120 00:17:32.649 00:17:34.919 Luke Daque: it’s a bit new. One second.

121 00:17:39.310 00:17:50.449 Amber Lin: yeah, I I think it was really nice that you called the real people and then solved it right then and there like it was, it was so fast when we called them.

122 00:17:52.250 00:17:55.510 Luke Daque: Yeah, it actually took it still took a while. But yeah, that.

123 00:17:55.510 00:17:56.010 Amber Lin: Oh, really.

124 00:17:56.010 00:17:57.430 Luke Daque: A lot, you know.

125 00:17:58.000 00:17:58.840 Amber Lin: Yeah.

126 00:18:04.820 00:18:10.128 Amber Lin: okay, yeah. I mean, that’s that’s, I think, a really good retro.

127 00:18:11.170 00:18:22.110 Amber Lin: what would you say? What would you do if something like that comes up next time, like I know I can. I can go after you, I know, for in terms of pming what I would do.

128 00:18:22.350 00:18:25.159 Amber Lin: What would you do if something like that comes up again.

129 00:18:28.110 00:18:29.059 Luke Daque: Yeah, I guess.

130 00:18:29.340 00:18:36.810 Luke Daque: Yeah, like what we mentioned earlier. I can, if ever like, there’s so much task. I can always push back and have somebody else like

131 00:18:37.470 00:18:39.300 Luke Daque: work on it, or something.

132 00:18:40.045 00:18:40.440 Amber Lin: Okay.

133 00:18:42.290 00:18:45.050 Luke Daque: Yeah, what else? I can. Also.

134 00:18:47.740 00:18:56.680 Luke Daque: yeah, I guess that mostly that, for if if I have like several tasks already.

135 00:18:58.537 00:19:04.740 Luke Daque: but of course, I can always prioritize like we should. I? I think we can have

136 00:19:08.544 00:19:12.890 Luke Daque: priorities in. Do we have that in linear, in like.

137 00:19:12.890 00:19:13.289 Amber Lin: Can we do?

138 00:19:13.290 00:19:14.190 Luke Daque: To use.

139 00:19:14.530 00:19:17.880 Luke Daque: We do, but we have, like high priority tasks.

140 00:19:18.220 00:19:25.609 Amber Lin: Sometimes it’s not like it’s sometimes not that accurate. So I guess the point for me is.

141 00:19:26.060 00:19:35.999 Amber Lin: make sure that if it’s real, if it’s marked as urgent, it really means urgent and not and it’s like, Oh, do this in me. Do this when you can.

142 00:19:36.170 00:19:36.540 Luke Daque: Right.

143 00:19:37.190 00:19:38.170 Amber Lin: Yeah.

144 00:19:38.600 00:19:40.880 Luke Daque: Yeah. And maybe like, from my

145 00:19:41.240 00:19:50.999 Luke Daque: standpoint as well, like one of the things that I mentioned like, there was no ticket for that one. But yeah, I I guess I should have created one

146 00:19:51.835 00:19:52.300 Luke Daque: when.

147 00:19:52.684 00:20:13.839 Amber Lin: I think that one. Yeah, I I didn’t notice the issue. But like, it’s more of my responsibility. You can create it. And you can ask me, like ping me to flesh it out to make sure it has requirements. Like. We can own that together as a team, because sometimes like

148 00:20:13.910 00:20:25.680 Amber Lin: for everything but ultimately, if it’s release, if it relates to tickets like, I’m a part of it. So sure, things are ticketed

149 00:20:26.290 00:20:28.759 Amber Lin: on time. And

150 00:20:34.220 00:20:35.630 Amber Lin: yeah, okay.

151 00:20:39.740 00:20:51.680 Amber Lin: And I think for me, it’s 1, the ticketing, as you said, like, I wanna make sure that there’s actual requirements. And then 2. I wasn’t sure if you’re owning, or Casey owned it, so I kind of just.

152 00:20:51.680 00:20:52.080 Luke Daque: Yeah.

153 00:20:52.220 00:21:00.459 Amber Lin: And then I think that resulted in. I guess when you play tennis you put the ball in the middle, and then you win because nobody gets it.

154 00:21:00.460 00:21:01.240 Luke Daque: Yeah.

155 00:21:01.240 00:21:03.430 Amber Lin: No one else is getting it so.

156 00:21:03.430 00:21:07.839 Luke Daque: That’s what also probably happened like nobody really knew who was supposed to.

157 00:21:07.840 00:21:08.470 Amber Lin: Yeah.

158 00:21:08.470 00:21:09.370 Luke Daque: Issue, or something.

159 00:21:09.370 00:21:10.320 Amber Lin: Yeah.

160 00:21:16.780 00:21:18.590 Amber Lin: right here.

161 00:21:21.320 00:21:33.129 Amber Lin: Yeah. And then, in terms of urgency, like, if it’s a really really urgent task, I think I’ll make it more clear instead, I think, looking back at my messages, I think I said, Hey, Casey, can you look at this?

162 00:21:33.760 00:21:42.750 Amber Lin: But I send one of those like every day, and for most of them I don’t need a response right away, so I didn’t make it that clear.

163 00:21:44.230 00:21:45.010 Luke Daque: Yeah.

164 00:21:47.150 00:21:52.249 Amber Lin: Yeah. And lastly, I think calls get things solved a lot faster. So.

165 00:21:52.250 00:21:52.699 Luke Daque: It was.

166 00:21:52.720 00:22:02.150 Amber Lin: Those are nice. So to hop on calls if needed, and and also onboarding time, and

167 00:22:04.980 00:22:16.479 Amber Lin: So making sure that you’re not onboarded right right at the deadline, and also for whoever is new to the team to give more time to their tickets.

168 00:22:20.040 00:22:21.220 Luke Daque: Yeah, that makes sense.

169 00:22:21.410 00:22:23.420 Amber Lin: Hmm, yeah, that’s all.

170 00:22:25.470 00:22:26.100 Luke Daque: Cool.

171 00:22:31.240 00:22:34.379 Amber Lin: Okay, thank you. That was really really helpful.

172 00:22:35.210 00:22:39.599 Amber Lin: Sounds good. Thanks. Thanks. As, well, bye, have a good weekend.

173 00:22:39.830 00:22:40.436 Luke Daque: You too.