Meeting Title: Grooming: US, AI, ABC Date: 2025-10-22 Meeting participants: Rico Rejoso, Demilade, Amber Lin, Uttam Kumaran


WEBVTT

1 00:01:19.180 00:01:20.550 Demilade: Hi, Rico.

2 00:01:23.740 00:01:24.960 Rico Rejoso: Hi, Demulade.

3 00:01:25.180 00:01:26.070 Rico Rejoso: How are you?

4 00:01:26.230 00:01:28.029 Demilade: Oh, I’m pretty good, how are you?

5 00:01:28.460 00:01:34.449 Rico Rejoso: I’m good, I’m good. Did you check the letter I sent you? Was it good? Or do you need any edits?

6 00:01:35.390 00:01:53.489 Demilade: Yes, I will need some edits. A couple of things. The… so, the time in which I’m out, I would be in the Dominican Republic, so that is fine, but I’m going to the US right after, and so that’s why I need the letter forged, so just in case I get stopped at the border.

7 00:01:53.960 00:01:58.379 Demilade: So since Trump came in, they’ve been a bit more like, oh, what’s happening?

8 00:01:58.620 00:02:01.010 Demilade: Are you going to be working here? Things like that.

9 00:02:01.650 00:02:10.920 Rico Rejoso: Okay, let me know what the edits are so I can, do it after this meeting, and I can send it to you for, check-in.

10 00:02:11.690 00:02:15.529 Demilade: Alright, sounds good. I would actually just send you the draft of what I would change, and…

11 00:02:15.530 00:02:16.730 Rico Rejoso: Okay, thank you.

12 00:02:17.910 00:02:24.909 Demilade: But… Also, please, can you add me to the, vault, the Insomnia vault, if there’s one?

13 00:02:24.910 00:02:26.950 Rico Rejoso: Sure, yeah, let me add you right.

14 00:02:28.490 00:02:29.120 Demilade: Thank you.

15 00:08:37.500 00:08:42.460 Amber Lin: Adam’s not here. We can just run…

16 00:08:43.120 00:08:46.519 Amber Lin: Okay, we’ll run grooming for urban stems then.

17 00:08:47.180 00:08:50.450 Amber Lin: And then let’s see what he says.

18 00:08:56.400 00:08:57.290 Amber Lin: Okay.

19 00:10:12.740 00:10:21.139 Amber Lin: For this, do we know what we want the table to look like for the daily, weekly, monthly revenue summary table?

20 00:10:22.360 00:10:27.410 Demilade: Oh, so… Yes.

21 00:10:27.580 00:10:33.929 Demilade: No, in the sense that… the Urban Science team, they tend to do a lot of their…

22 00:10:34.460 00:10:38.310 Demilade: analysis. They tend to do the analysis within LOCA.

23 00:10:38.760 00:10:41.489 Demilade: So, right now, what we have is…

24 00:10:43.660 00:11:00.359 Demilade: I have the table that has all the revenue in there. So Emily’s just kind of putting it into Looker and giving them access to the analyst team to be able to do, you know, whatever analysis they want to do based off that. Ultimately, we might not actually need these tickets.

25 00:11:02.030 00:11:03.050 Amber Lin: Oh.

26 00:11:04.170 00:11:11.420 Demilade: We’ll see. I think my issue is because they do, like, one… this is… Otam, are you familiar with, like, the one big table?

27 00:11:11.630 00:11:15.969 Demilade: method, where you just have one big-ass table with lots of

28 00:11:16.330 00:11:20.109 Demilade: Then we potentially join into our big table.

29 00:11:20.380 00:11:21.999 Demilade: That’s kind of what they’re doing in Looker.

30 00:11:23.260 00:11:30.510 Demilade: So, like, smaller data sets, or, like, dash specific usage isn’t necessarily what they do.

31 00:11:33.360 00:11:35.059 Uttam Kumaran: Yeah, I mean, that makes sense.

32 00:11:35.190 00:11:40.850 Uttam Kumaran: I guess, yeah, I’m sorry, I was just a little bit late. Where are we on grooming so far?

33 00:11:42.400 00:11:42.770 Demilade: I started.

34 00:11:42.770 00:11:44.450 Amber Lin: We’re doing it with brain stems, yeah.

35 00:11:45.740 00:11:50.769 Uttam Kumaran: Okay, so I guess…

36 00:11:52.610 00:11:58.340 Uttam Kumaran: Yeah, like, where are we in, like, our… so we just… we’re just looking at, like, ready for development, or…

37 00:12:00.680 00:12:01.500 Uttam Kumaran: Okay.

38 00:12:02.310 00:12:06.640 Uttam Kumaran: So all these ready for development, I feel… Like, is it…

39 00:12:06.640 00:12:11.580 Amber Lin: If they’re actually ready, they should be… they should be here. They should be requirements started.

40 00:12:12.320 00:12:14.580 Amber Lin: So, let me just move them, actually.

41 00:12:16.450 00:12:17.110 Uttam Kumaran: Okay.

42 00:12:26.920 00:12:37.440 Uttam Kumaran: Well, like, for example, move derived table to dbt to prevent diversions, like, that’s already one we talked about. These are all, like, I feel like a lot of these are actually ready, like, we’ve already talked about.

43 00:12:41.160 00:12:48.719 Uttam Kumaran: So, I guess there’s a question, like, is it still relevant to do… I mean, I… I think WLU should still do the monthly revenue summary tables.

44 00:12:50.330 00:12:52.360 Uttam Kumaran: Instead of the one big table.

45 00:12:52.850 00:12:58.569 Uttam Kumaran: Or you should just have everything built… I mean, like, really the goal is, like, if you just have everything built from…

46 00:12:59.320 00:13:04.019 Uttam Kumaran: Back transactions or whatever, then it’s just going to take a while for them to do these aggregations.

47 00:13:06.390 00:13:12.280 Demilade: Okay, fair enough. I will do the… Level revenue models.

48 00:13:12.550 00:13:14.490 Demilade: So, like, daily, weekly, monthly.

49 00:13:15.150 00:13:16.640 Demilade: different.

50 00:13:21.500 00:13:26.540 Uttam Kumaran: Or you just create a daily one, and don’t create the weekly and monthly, because then they can do the aggregations, right?

51 00:13:27.630 00:13:28.700 Demilade: Yeah, yeah.

52 00:13:32.910 00:13:35.590 Uttam Kumaran: Yeah, we’ll just do that daily and then call this a day.

53 00:13:40.040 00:13:46.769 Uttam Kumaran: Okay, I mean, daily subscription revenue summary, this one, that it will… you’re gonna build it separate?

54 00:13:52.260 00:13:59.840 Demilade: Potentially not. I think it would probably just be this table, but then I just flag what the subscription value is, and…

55 00:14:00.720 00:14:01.780 Demilade: total value.

56 00:14:01.780 00:14:02.450 Uttam Kumaran: Okay.

57 00:14:03.930 00:14:06.350 Uttam Kumaran: Cool, so then that’s what I would,

58 00:14:11.270 00:14:14.770 Uttam Kumaran: So this data, for example, already exists in

59 00:14:15.090 00:14:16.940 Uttam Kumaran: The revenue table, is that correct?

60 00:14:18.940 00:14:24.750 Demilade: Yes, in fact order, For the line items, there’s a revenue column.

61 00:14:24.860 00:14:27.190 Demilade: Where, for… There’s the…

62 00:14:31.050 00:14:31.870 Uttam Kumaran: -Oh.

63 00:14:36.580 00:14:40.330 Uttam Kumaran: Okay, so then I’m gonna mark… This is done.

64 00:14:43.400 00:14:50.629 Uttam Kumaran: And then… I guess what I’ll do is, in here, it’s like… Confirm there is a column.

65 00:14:50.910 00:14:51.670 Uttam Kumaran: Or…

66 00:15:23.410 00:15:26.000 Uttam Kumaran: Okay…

67 00:15:33.180 00:15:36.390 Uttam Kumaran: Yeah, this one seems like it’s… we’re already groomed.

68 00:15:47.400 00:15:48.460 Uttam Kumaran: This one?

69 00:15:53.570 00:15:55.090 Uttam Kumaran: Okay, I think this will be…

70 00:15:56.330 00:15:59.100 Demilade: I’m not sure, to be honest.

71 00:16:02.180 00:16:02.910 Uttam Kumaran: Yeah.

72 00:16:18.020 00:16:19.469 Uttam Kumaran: Sure if that one…

73 00:16:23.410 00:16:30.070 Uttam Kumaran: So this one was… this was an ask from their team when we started talking to them. Like, I don’t know if this is still relevant.

74 00:16:32.390 00:16:35.290 Demilade: Will this be on the subscription table?

75 00:16:36.040 00:16:36.850 Uttam Kumaran: Yes.

76 00:16:37.420 00:16:40.310 Demilade: If it is, then I can ask Emily

77 00:16:40.480 00:16:42.720 Demilade: If it is, I could always just do that.

78 00:16:43.450 00:16:44.300 Uttam Kumaran: Okay.

79 00:17:07.730 00:17:11.349 Uttam Kumaran: Okay, this one is for… Like, a wage to fill out.

80 00:17:11.630 00:17:13.200 Uttam Kumaran: Basically, when it gets shared.

81 00:17:20.430 00:17:24.349 Uttam Kumaran: Rico, did we have a chance to create those labels yet, or no?

82 00:17:24.760 00:17:27.020 Uttam Kumaran: That’s one thing that is going to be helpful.

83 00:17:27.020 00:17:28.190 Rico Rejoso: Not yet.

84 00:17:28.870 00:17:31.130 Uttam Kumaran: Oh, you’re all good, so I’m just gonna…

85 00:17:31.550 00:17:35.080 Uttam Kumaran: Like, this is an example of something that, like, needs to happen next week.

86 00:17:35.240 00:17:42.940 Uttam Kumaran: And so I… what I’m gonna do is, like, I’m going to market basically, as, like.

87 00:17:47.250 00:17:50.010 Uttam Kumaran: Like, we want to… we want to end up doing this.

88 00:17:50.530 00:17:56.349 Uttam Kumaran: in Cycle 10… Actually, here, let’s see where we sorted…

89 00:17:59.620 00:18:04.960 Uttam Kumaran: Let’s… Create new ones here pretty easily, or no?

90 00:18:17.330 00:18:22.130 Demilade: I just texted Amy, and she said she doesn’t think we still need Snap… Rules.

91 00:18:22.130 00:18:22.810 Uttam Kumaran: Okay.

92 00:18:25.440 00:18:28.880 Uttam Kumaran: Okay, let me, I don’t…

93 00:18:29.010 00:18:31.860 Uttam Kumaran: Rico, where do I go to create, like, labels?

94 00:18:34.360 00:18:37.790 Rico Rejoso: You can type it in, if it’s not there, it will let you create one.

95 00:18:38.660 00:18:39.809 Uttam Kumaran: Oh, really? Okay.

96 00:18:42.750 00:18:43.480 Uttam Kumaran: Oh.

97 00:18:45.350 00:18:48.130 Uttam Kumaran: Oh, but it doesn’t like a colon, maybe? Oh, okay.

98 00:18:52.310 00:18:53.170 Uttam Kumaran: Mmm.

99 00:19:14.380 00:19:17.340 Uttam Kumaran: Okay, so I’ll… I’ll basically wait.

100 00:19:17.860 00:19:20.340 Uttam Kumaran: We have to see, like, what OH says about this one.

101 00:19:25.320 00:19:27.990 Uttam Kumaran: Okay, this one we said we canceled.

102 00:19:30.020 00:19:30.960 Uttam Kumaran: Okay?

103 00:19:31.530 00:19:36.299 Uttam Kumaran: Let’s see if there’s anything…

104 00:19:37.220 00:19:39.320 Uttam Kumaran: The backlog that we need to bring in?

105 00:19:43.480 00:19:45.410 Demilade: For this week, or for next week’s cycle?

106 00:19:45.850 00:19:46.829 Uttam Kumaran: For next week.

107 00:19:56.230 00:19:59.989 Uttam Kumaran: Is there already, like, a deprecation plan for, like, Looker?

108 00:20:00.340 00:20:01.449 Uttam Kumaran: Or we don’t have one.

109 00:20:01.450 00:20:02.100 Demilade: Oh.

110 00:20:02.350 00:20:08.389 Demilade: I won’t say a necessary deprecation plan, but I do know Emily is kind of, like, replacing, or has been replacing.

111 00:20:08.600 00:20:09.710 Demilade: Almost there.

112 00:20:09.910 00:20:14.249 Demilade: with it. But this is just the dev environment.

113 00:20:14.910 00:20:15.850 Demilade: Big project.

114 00:20:17.590 00:20:22.900 Uttam Kumaran: Okay, maybe I may ask… Or if she can list out…

115 00:20:26.530 00:20:32.329 Uttam Kumaran: we can just create a quick explore on this, and this is something that we can work on on third… on Friday, probably, too.

116 00:20:35.260 00:20:36.320 Uttam Kumaran: Okay…

117 00:21:47.040 00:21:50.180 Demilade: It’s the person that ops needs grooming and just, like, needs grooming.

118 00:21:51.200 00:21:55.340 Uttam Kumaran: So, I sent a, an,

119 00:21:56.220 00:22:00.329 Uttam Kumaran: a, like, label thing, like, kind of scheme that I worked on last night.

120 00:22:00.530 00:22:02.030 Uttam Kumaran: It’s here.

121 00:22:02.210 00:22:17.019 Uttam Kumaran: basically, I want to create, like, I… there’s gonna be two types of labels. Something is gonna be, like, on the capability, or, like, what kind of work is it? And there’s gonna be something that indicates more, like, there needs… there’s some action that needs to happen.

122 00:22:17.160 00:22:26.619 Uttam Kumaran: So, like, for example, tickets may come in, and they may need to get groomed, but Sprint, there’s a ticket for that, there’s a label for that, versus something that just needs grooming.

123 00:22:27.000 00:22:31.080 Uttam Kumaran: That way, it’s easy for us to filter here, and then also.

124 00:22:31.410 00:22:39.409 Uttam Kumaran: in our reporting in Omni, we can start to basically look at tickets By different types of work.

125 00:22:39.640 00:22:41.960 Uttam Kumaran: How much stuff is in needs grooming?

126 00:22:42.390 00:22:48.970 Uttam Kumaran: So it just allows for a couple different, like, dimensions for… Her work, basically.

127 00:22:51.180 00:22:51.940 Demilade: Oh, okay.

128 00:22:52.680 00:22:53.370 Uttam Kumaran: Yeah.

129 00:22:53.970 00:22:56.210 Uttam Kumaran: Versus, like, status is one thing.

130 00:22:56.680 00:23:02.129 Uttam Kumaran: But I just want to get tighter on, like, what is the most essential stuff to groom?

131 00:23:02.430 00:23:05.780 Uttam Kumaran: there’s kind of two types of tickets that come up, right? There’s stuff that comes up midweek.

132 00:23:05.940 00:23:13.310 Uttam Kumaran: That needs to be added to the sprint, so it needs to be groomed midweek. There’s also stuff that comes up that needs to be groomed in the next grooming cycle.

133 00:23:13.650 00:23:18.070 Uttam Kumaran: And then there’s just stuff that needs to get into the backlog at some point. So I want to start to track

134 00:23:18.330 00:23:22.120 Uttam Kumaran: So it gives an indication of, like, where should we put our efforts during grooming?

135 00:23:31.280 00:23:33.140 Uttam Kumaran: Okay,

136 00:23:38.790 00:23:42.710 Uttam Kumaran: This is something also that I can have a wish to go. He gets here…

137 00:24:09.820 00:24:17.140 Uttam Kumaran: Cool. And then let’s talk about, stuff for the cycles. Is there anything here that’s… that we feel like is gonna move?

138 00:24:18.700 00:24:19.680 Uttam Kumaran: Over.

139 00:24:24.580 00:24:26.799 Uttam Kumaran: This one we’re gonna talk about on Friday.

140 00:24:35.120 00:24:37.829 Demilade: Potentially things that our ways she’s working on.

141 00:24:37.990 00:24:41.450 Demilade: move to the next cycle. At least, maybe one or two of them.

142 00:24:42.690 00:24:46.569 Uttam Kumaran: Yeah, I may… I may move his Metaplane thing off.

143 00:24:47.820 00:24:50.070 Uttam Kumaran: And then so you can focus on this one.

144 00:24:51.730 00:24:52.560 Uttam Kumaran: Tomorrow.

145 00:24:53.720 00:25:00.090 Amber Lin: Also, Dylan, I see on your plate you have 19 points total. That might be a bit too much.

146 00:25:01.670 00:25:04.179 Amber Lin: Do you feel like you can do all of those?

147 00:25:04.540 00:25:07.790 Amber Lin: I think our allocation was, like, 15 hours per week.

148 00:25:09.400 00:25:17.410 Demilade: Yeah, I think I could take off the unscheduled models.

149 00:25:18.940 00:25:19.440 Uttam Kumaran: Okay.

150 00:25:19.440 00:25:20.200 Amber Lin: It’s true.

151 00:25:20.200 00:25:20.570 Demilade: floor.

152 00:25:20.570 00:25:23.910 Amber Lin: I moved that to the next week already.

153 00:25:24.800 00:25:25.530 Amber Lin: Oh, okay.

154 00:25:25.530 00:25:28.370 Demilade: Because it’s shown as part of my 19.

155 00:25:28.490 00:25:35.700 Amber Lin: Oh, let me… yeah, let me… so that’s the upcoming cycle. Let me move it to ready for development. Yeah.

156 00:25:35.700 00:25:36.360 Uttam Kumaran: Yeah.

157 00:25:36.360 00:25:38.410 Demilade: Perfect. Okay, so it’s 17 now.

158 00:25:42.100 00:25:49.200 Amber Lin: I mean, you already did the subscriptions revenues… oh, no, we canceled that, right?

159 00:25:49.600 00:25:52.520 Amber Lin: Okay, let me move that out of cycle.

160 00:25:52.970 00:25:53.710 Amber Lin: Okay.

161 00:25:54.560 00:25:58.170 Amber Lin: Okay, so it’s, like, 16 right now. That looks alright.

162 00:26:02.570 00:26:04.450 Demilade: Okay.

163 00:26:05.210 00:26:07.890 Uttam Kumaran: So this one… so there’s just a bunch of stuff around…

164 00:26:08.310 00:26:17.380 Uttam Kumaran: Yeah, there’s just a bunch of stuff around deprecation, right, and documentation, so maybe that’s something we could just tackle on Friday, like, note down all the stuff that needs to get deprecated.

165 00:26:19.530 00:26:21.359 Demilade: Yeah, great.

166 00:26:21.850 00:26:29.239 Demilade: But, like, I think the major… the major lift to this week will be the historical revenue to facts, others, which…

167 00:26:29.380 00:26:32.300 Demilade: I’m already testing, so once I’m done with that.

168 00:26:35.160 00:26:36.970 Uttam Kumaran: That would be the major lift.

169 00:26:37.340 00:26:43.429 Demilade: The deprecation stuff, just like how we’re using the new revenue models to replace this.

170 00:26:43.710 00:26:44.789 Uttam Kumaran: Yeah, we’ll talk about it on our.

171 00:26:44.790 00:26:46.780 Demilade: Again… Yeah.

172 00:26:49.260 00:26:53.539 Uttam Kumaran: So that way, I may just move this out, because I want to have a plan.

173 00:26:53.710 00:27:00.940 Uttam Kumaran: it’s, like, I just need to hear from Emily all the stuff we need to deprecate, and then we can create just pretty clear tickets for, like.

174 00:27:01.190 00:27:02.299 Uttam Kumaran: What to remove.

175 00:27:05.140 00:27:06.510 Demilade: Okay, sounds good.

176 00:27:07.520 00:27:08.300 Uttam Kumaran: Okay.

177 00:27:17.070 00:27:17.820 Uttam Kumaran: Okay.

178 00:27:19.010 00:27:22.540 Uttam Kumaran: Yeah, this one is something worth looking into.

179 00:27:27.790 00:27:29.440 Uttam Kumaran: Okay, cool.

180 00:27:29.560 00:27:38.869 Uttam Kumaran: So, I think that’s serving stems, like, I think what we’ll do on Monday is we’ll kind of do planning, but I feel pretty good about these items. I mean, again, Emily’s…

181 00:27:39.340 00:27:44.350 Uttam Kumaran: stuff I don’t entirely… No, so…

182 00:27:45.380 00:27:52.159 Uttam Kumaran: like, yeah, I guess we’ll have to kind of follow up. Amber, this may be a similar situation as ABC, where we do, like, sub-teams.

183 00:27:52.160 00:27:53.359 Amber Lin: I don’t know.

184 00:27:54.040 00:27:55.310 Amber Lin: Yeah, that makes sense.

185 00:27:55.890 00:28:05.489 Uttam Kumaran: Okay, yeah, I feel like that that may be ideal, but okay, I feel pretty good. Like, so on Friday, my objective is just to make sure we have a clear understanding of, like.

186 00:28:05.910 00:28:10.209 Uttam Kumaran: The deprecation process, and then we could build a little… Plan for that.

187 00:28:10.530 00:28:13.580 Uttam Kumaran: away she’s gonna continue to move North Beam through.

188 00:28:16.990 00:28:21.699 Uttam Kumaran: And then, yeah, I’m gonna be meeting with Zach next week, so as many links as we can get before that would be great.

189 00:28:36.420 00:28:41.710 Uttam Kumaran: Okay, we are also going to go through… what are the other clients we’re going to go through today?

190 00:28:42.370 00:28:46.440 Uttam Kumaran: Abc? So let’s talk through that, Amber.

191 00:28:48.650 00:28:53.659 Uttam Kumaran: I feel like me and you can just do that, and then we can talk through the AI team.

192 00:28:59.450 00:29:00.980 Demilade: So I can drop off now?

193 00:29:01.660 00:29:02.560 Uttam Kumaran: Yeah, that’s fine.

194 00:29:05.400 00:29:06.179 Demilade: Bye, everyone.

195 00:29:07.160 00:29:07.910 Amber Lin: Bye!

196 00:29:10.570 00:29:14.200 Amber Lin: Yeah, for ABC, the main things… .

197 00:29:14.200 00:29:14.610 Uttam Kumaran: Yes.

198 00:29:14.610 00:29:15.990 Amber Lin: are the spikes.

199 00:29:17.260 00:29:23.990 Amber Lin: the triage tickets that I’ve brought into the cycle are all related to the spikes, so,

200 00:29:24.870 00:29:37.219 Amber Lin: you already got the update earlier this morning. I know we were looking at some errors on our side, of logging the feedback tickets, and then… which means that we have a little bit less time to do the

201 00:29:37.470 00:29:45.440 Amber Lin: to do the actual spikes that we want to do, so mostly focusing on the mechanical department. Their document…

202 00:29:45.740 00:29:59.869 Amber Lin: One, the central dock there, we might… our RAG might not be updating, because the updates we make there are not captured. And two, mechanical pricing issues of, okay, how much does it cost to go out to this zip code?

203 00:29:59.900 00:30:13.150 Amber Lin: Like, those answers are not always accurate, and I suspect just because the document is way too long, and there’s many different terms. So, we might need to do an overall cleanup for that department.

204 00:30:14.220 00:30:14.820 Uttam Kumaran: Okay.

205 00:30:15.300 00:30:15.970 Amber Lin: Yeah.

206 00:30:17.810 00:30:18.969 Amber Lin: Oh, goodness.

207 00:30:18.970 00:30:21.009 Uttam Kumaran: Something here that’s on that, right?

208 00:30:23.570 00:30:26.290 Uttam Kumaran: Well, I guess that’ll be the outcome of the spike, right?

209 00:30:26.900 00:30:32.490 Amber Lin: Yes, yes. So, all of it is captured in the spike.

210 00:30:32.680 00:30:48.190 Amber Lin: And then, for me, I need to triage the tickets that came in after we refresh the workflow. So we have, about 30 to triage, but most of them should go to the ABC team, so that should be fine.

211 00:30:49.140 00:30:49.790 Uttam Kumaran: Okay.

212 00:30:51.310 00:30:52.690 Uttam Kumaran: And then what is this one?

213 00:30:54.540 00:30:56.120 Amber Lin: This is…

214 00:30:56.510 00:31:08.189 Amber Lin: For next week, I think it is St. Cycle 22. This is what I did today. I met with their team, and we’re adding new people, so this is the commercial department.

215 00:31:09.650 00:31:10.530 Uttam Kumaran: Hmm…

216 00:31:10.950 00:31:16.850 Amber Lin: So, I’m gonna need our help, probably in automation, to add all the Google Docs.

217 00:31:17.170 00:31:19.360 Amber Lin: 2… like, 2-1.

218 00:31:19.870 00:31:20.810 Amber Lin: I know you said.

219 00:31:20.810 00:31:21.250 Uttam Kumaran: You talked.

220 00:31:21.250 00:31:27.950 Amber Lin: We talked about this, like, a while ago, but, we have a lot more docs this time, so we’re gonna need an automation.

221 00:31:50.100 00:31:51.780 Uttam Kumaran: So, the goal here is to, like.

222 00:31:52.690 00:32:05.580 Uttam Kumaran: There’s a couple goals. One is to… Create a plan to… We ingest all the commercial… department, documents…

223 00:32:06.110 00:32:08.760 Uttam Kumaran: and create… A central doc?

224 00:32:09.360 00:32:14.630 Uttam Kumaran: Second plan is to create a SOP around this process.

225 00:32:14.750 00:32:17.750 Uttam Kumaran: or future… departments.

226 00:32:19.810 00:32:23.659 Uttam Kumaran: And then, can you link here, Amber, like, any of the…

227 00:32:24.060 00:32:26.429 Uttam Kumaran: Drive links, or docs, or whatever.

228 00:32:26.960 00:32:28.580 Amber Lin: Yeah, I could do that.

229 00:34:36.010 00:34:36.610 Uttam Kumaran: Cool.

230 00:34:44.840 00:34:48.509 Amber Lin: I think other than that, the main focus would be…

231 00:34:48.739 00:34:55.620 Amber Lin: The triage tickets and getting them ready, because when we triage them, we need to look at

232 00:34:55.900 00:35:02.109 Amber Lin: what the content is, and I usually put a short summary in a title, just because it gets…

233 00:35:02.110 00:35:06.040 Uttam Kumaran: So how often are you doing the… how often are you doing that? Because why…

234 00:35:06.040 00:35:07.499 Amber Lin: I do it…

235 00:35:07.500 00:35:08.000 Uttam Kumaran: egg.

236 00:35:08.000 00:35:14.769 Amber Lin: Oh, I see. I used to do it every day, or at least every other day, just because it piles up a lot, but I also…

237 00:35:14.920 00:35:20.209 Amber Lin: think that… Eventually, we can’t take this many triage tasks.

238 00:35:20.430 00:35:26.019 Amber Lin: As in, like, we cannot triage so many things, especially as we have more departments.

239 00:35:26.680 00:35:27.510 Amber Lin: Yeah.

240 00:35:27.510 00:35:31.939 Uttam Kumaran: But are they assigning their… they’re, like, can they give any indication of priority?

241 00:35:32.850 00:35:38.190 Uttam Kumaran: like… So, like, you should ask someone on their team to do this triage.

242 00:35:39.710 00:35:42.089 Amber Lin: I’ve asked, I’ll try again.

243 00:35:43.000 00:35:44.520 Uttam Kumaran: Like, what was the pushback?

244 00:35:44.990 00:35:52.009 Amber Lin: No, not that there was pushback, but that they didn’t do it, so I will go try again and nudge them.

245 00:35:53.000 00:35:58.150 Uttam Kumaran: Yeah, so there’s kind of two things. One is, like, I would try to get them to…

246 00:35:58.860 00:36:07.919 Uttam Kumaran: to triage things. Second is… we can… Second, we can,

247 00:36:09.350 00:36:14.390 Uttam Kumaran: what’s it called? Have… start to show them how they can start to fix things, if needed.

248 00:36:15.650 00:36:18.620 Amber Lin: Yeah, they actually fix…

249 00:36:18.990 00:36:29.870 Amber Lin: stuff related to the contents in the central doc and stuff. Stuff on our end that we fix is that things related to the database.

250 00:36:30.060 00:36:34.430 Amber Lin: Or things that’s not populating, even if it’s in the central dock.

251 00:36:34.820 00:36:41.040 Amber Lin: And then sometimes it takes a few testings back and forth to say, oh, this is really…

252 00:36:41.160 00:36:47.679 Amber Lin: Whose responsibility is this? I can… let me create a ticket for myself, all…

253 00:36:48.150 00:36:53.899 Amber Lin: work on this issue, and I’ll… I’ll come up with a few solutions, then I meet with Janiece later today.

254 00:36:54.100 00:36:56.419 Amber Lin: So I can help guide her through that.

255 00:36:56.900 00:37:00.140 Uttam Kumaran: Yeah, probably my only thing is, like, I think,

256 00:37:02.130 00:37:08.839 Uttam Kumaran: like, I think… I don’t mind having the triage tickets, but I don’t want our team working on this every single day.

257 00:37:09.470 00:37:11.120 Uttam Kumaran: I would rather them say, like.

258 00:37:12.170 00:37:15.100 Uttam Kumaran: do some triage on Wednesday, and do some on Friday.

259 00:37:15.270 00:37:16.150 Uttam Kumaran: like…

260 00:37:17.520 00:37:19.539 Uttam Kumaran: You know, so, like, that’s… that’s gonna.

261 00:37:19.540 00:37:20.629 Amber Lin: That makes sense.

262 00:37:20.770 00:37:33.509 Uttam Kumaran: that’s gonna be kind of how I continue to push these, is I’ll basically say, like, okay, great, like, we brought in the tickets that need to get done this week, but no pressure on getting this done until Friday, you know?

263 00:37:36.500 00:37:38.960 Uttam Kumaran: Because it’s just the volume is so high.

264 00:37:40.130 00:37:43.660 Uttam Kumaran: The other thing is, like, the volume is high, so I feel like

265 00:37:44.560 00:37:50.279 Uttam Kumaran: I… I think… what my question is, like, our… this… our solution isn’t working, right? Something’s not working here.

266 00:37:50.580 00:37:58.680 Uttam Kumaran: So, during our retro on Friday, I think it’d be great for us to have a discussion on, like, where all these errors are coming from.

267 00:37:59.590 00:38:04.200 Uttam Kumaran: Like, what is the source of truth for all these issues? Is there something we can control?

268 00:38:04.620 00:38:08.840 Uttam Kumaran: like… Or is it truly, like, they don’t have the data in there?

269 00:38:09.150 00:38:26.830 Uttam Kumaran: And so then these are just naturally it. Because what I can do is, if you give me a sense of how many issues we’re dealing with, I can then go to Matt and them and tell them, like, hey, we’re dealing with X amount of new issues every… every week, like, my team doesn’t have the capability to support

270 00:38:26.990 00:38:34.910 Uttam Kumaran: this many, so either, like, we need a little bit more budget, or I just want to be clear that we’re only going to take on this many per week.

271 00:38:35.180 00:38:37.039 Uttam Kumaran: And it’s not our fault.

272 00:38:38.340 00:38:39.100 Uttam Kumaran: Right.

273 00:38:39.100 00:38:40.270 Amber Lin: Yeah.

274 00:38:41.280 00:38:49.149 Uttam Kumaran: Because they don’t have the data in there, so they’re basically paying us to do some of this cleanup, and so I think one thing that we can talk about

275 00:38:49.710 00:38:54.619 Uttam Kumaran: on Friday, Retro, Is we can talk about,

276 00:38:55.500 00:39:02.529 Uttam Kumaran: is the high amount of triage BF or ABC Bolt.

277 00:39:03.220 00:39:06.899 Uttam Kumaran: Second, can ABC triage more?

278 00:39:08.400 00:39:14.350 Uttam Kumaran: with… Case for more budget to do triage.

279 00:39:15.160 00:39:19.310 Uttam Kumaran: Or to… Extend SLA.

280 00:39:19.440 00:39:28.449 Uttam Kumaran: Because if they’re like, hey, we’re… you’re all… in order for the solution to work, we need this information, it’s clear this isn’t documented anywhere, so we’re spending most of our time on that.

281 00:39:29.280 00:39:31.830 Uttam Kumaran: I just need to let you guys know that, like, we…

282 00:39:32.310 00:39:35.329 Uttam Kumaran: That’s, like, this is way too much for us to take on.

283 00:39:35.720 00:39:42.470 Uttam Kumaran: And you either need to assign someone dedicated internally to help us, or we’re only going to take on 10 per week or something.

284 00:39:43.960 00:39:45.169 Amber Lin: Yeah, sounds good.

285 00:39:48.250 00:39:49.770 Uttam Kumaran: Okay, awesome.

286 00:39:50.220 00:39:55.000 Uttam Kumaran: So is there anything else in particular that we want to…

287 00:39:55.770 00:39:58.610 Uttam Kumaran: Move around for next cycle, or…

288 00:39:59.080 00:40:02.389 Uttam Kumaran: We want to… anything from the backlog, we want to consider.

289 00:40:05.470 00:40:06.180 Amber Lin: Mmm…

290 00:40:06.180 00:40:12.960 Uttam Kumaran: So I think I’m gonna get you guys a decision on the new, like, Basically, the new,

291 00:40:13.830 00:40:20.220 Uttam Kumaran: UI or not, and then if not, we’ll… we can keep working on some of these just within the Google UI.

292 00:40:20.540 00:40:21.540 Uttam Kumaran: Okay.

293 00:40:21.930 00:40:22.410 Uttam Kumaran: Yeah.

294 00:40:22.410 00:40:26.600 Amber Lin: Yeah, most of them are features, so small features here and there.

295 00:40:27.410 00:40:28.060 Uttam Kumaran: Okay.

296 00:40:28.700 00:40:35.400 Uttam Kumaran: Yeah, I’m hopeful that, Amber, you can now spend a little bit more time just pushing them to improve usage, you know?

297 00:40:35.620 00:40:36.349 Amber Lin: Huh.

298 00:40:38.680 00:40:42.010 Amber Lin: Yeah, I had a thread with Yvette, I think they…

299 00:40:42.320 00:40:50.000 Amber Lin: I nudged them a little bit. I think Yvette and Janice had another discussion on…

300 00:40:51.000 00:40:58.250 Amber Lin: Wow. What… yeah, how they want to increase usage. She sent me an email, I still need to look at it, I haven’t had time to today.

301 00:40:58.250 00:40:58.979 Uttam Kumaran: Okay, okay.

302 00:40:58.980 00:41:00.710 Amber Lin: But I’m talking with them later.

303 00:41:01.660 00:41:02.090 Uttam Kumaran: Okay.

304 00:41:02.090 00:41:10.609 Amber Lin: It’s… the usage goes up when they watch… Like, the CSRs.

305 00:41:11.080 00:41:15.240 Amber Lin: it’s… I think there… the key reason

306 00:41:15.530 00:41:21.069 Amber Lin: Is that they… they’re not used to it, and they don’t have enough…

307 00:41:21.960 00:41:31.650 Amber Lin: pressure or incentive to change, even if it is better. So whenever they are watched, or their trainers push them.

308 00:41:32.290 00:41:37.660 Uttam Kumaran: Well, like, in our meeting tomorrow, can we bring that up? Like, can I… can we tell them, hey, you guys need to set, like, some…

309 00:41:38.290 00:41:40.960 Uttam Kumaran: performance-based incentive on using this, because.

310 00:41:40.960 00:41:45.140 Amber Lin: They know, but you’re right in that we should set…

311 00:41:45.480 00:41:46.569 Uttam Kumaran: Well, I’ll ask them tomorrow.

312 00:41:46.570 00:41:47.730 Amber Lin: metrics. Okay.

313 00:41:47.730 00:41:49.350 Uttam Kumaran: I’ll tell them, like, hey.

314 00:41:49.830 00:41:57.119 Uttam Kumaran: like, it’s clear that Andy’s performing well, but we’re hitting a blocker on usage because nobody feels the pressure.

315 00:41:57.310 00:41:59.499 Uttam Kumaran: I’ll ask Matt and Steven directly.

316 00:41:59.670 00:42:00.190 Uttam Kumaran: Like…

317 00:42:00.190 00:42:00.950 Amber Lin: Huh.

318 00:42:01.130 00:42:02.860 Uttam Kumaran: How can we increase the pressure here?

319 00:42:06.580 00:42:10.809 Uttam Kumaran: Because ideally, they should say, like, hey, if we don’t see you using it.

320 00:42:11.340 00:42:14.769 Uttam Kumaran: It’s gonna… it’s affect… it’s gonna affect your performance review.

321 00:42:14.770 00:42:15.280 Amber Lin: Huh.

322 00:42:15.280 00:42:15.910 Uttam Kumaran: Right.

323 00:42:17.460 00:42:17.990 Amber Lin: Yeah.

324 00:42:29.630 00:42:30.180 Uttam Kumaran: Okay.

325 00:42:31.110 00:42:31.780 Amber Lin: Great.

326 00:42:33.020 00:42:46.130 Uttam Kumaran: Great, and then let’s talk about, AI team, so… I think Sam… Created some…

327 00:42:46.350 00:42:50.270 Uttam Kumaran: Tickets from… take a look at…

328 00:43:49.560 00:43:50.960 Uttam Kumaran: Always…

329 00:44:08.580 00:44:13.109 Uttam Kumaran: So I’m thinking about maybe we have a label that’s, like, needs grooming for next cycle.

330 00:44:18.000 00:44:20.450 Uttam Kumaran: I think I’ll just do that for now.

331 00:45:14.430 00:45:16.200 Uttam Kumaran: Okay,

332 00:47:12.510 00:47:13.200 Uttam Kumaran: Hmm.

333 00:48:26.030 00:48:30.860 Uttam Kumaran: Okay, so a couple things that I’m… and I think this will be probably relevant for…

334 00:48:31.040 00:48:33.969 Uttam Kumaran: Both of you guys, as I’m… I’m starting to… let me just grab me.

335 00:48:46.320 00:48:48.130 Uttam Kumaran: So…

336 00:48:48.420 00:49:03.799 Uttam Kumaran: I wanted to basically create several different, like, helpful UIs in the platform for all of our core activities. So… I wanted to create something for sprint reviews, something for client meeting assistants, something for project review builder.

337 00:49:03.950 00:49:07.069 Uttam Kumaran: Grooming assistant, and a stand-up assistant.

338 00:49:07.110 00:49:18.830 Uttam Kumaran: So everything from where we take notes should start in the platform. You should be able to walk into, like, you should be able to… for example, what… these are all things that we’re gonna do for all the clients.

339 00:49:18.830 00:49:27.360 Uttam Kumaran: And so, what I’m gonna do is almost create, like, specific pages just dedicated to, like, tools that will assist for a given process.

340 00:49:28.730 00:49:36.819 Uttam Kumaran: So, like, for grooming, for example, the couple things I need to know of grooming. I want to look… I want to be able to see all the tickets,

341 00:49:36.820 00:49:53.020 Uttam Kumaran: that need to get created this week from the Zoom meetings that we had. I want to see tickets that have been sitting in grooming for a while that we should probably cancel. Like, those are the helpful things I want to see. It’s not that easy for me to see it here in linear, so I’m going to start to build some stuff in the platform.

342 00:49:53.070 00:49:56.279 Uttam Kumaran: for us to… to do that.

343 00:49:56.520 00:50:01.570 Uttam Kumaran: And so I have a couple of things for the AI team that I’m gonna, like, build that’s related to that, so…

344 00:50:02.100 00:50:05.420 Uttam Kumaran: Yeah.

345 00:50:05.750 00:50:08.300 Uttam Kumaran: I guess, I think Amber dropped.

346 00:50:11.710 00:50:22.299 Uttam Kumaran: Okay, yeah, I guess that’s all I had for this grooming session. Not much else, so… feel pretty good. I think we can go. I know we have the next one starting soon, so…

347 00:50:22.750 00:50:27.510 Uttam Kumaran: Could do that, and then, should we set for today.

348 00:50:28.580 00:50:29.240 Rico Rejoso: Got it.

349 00:50:30.390 00:50:33.300 Uttam Kumaran: Okay, perfect. Alright. Thank you, dude.

350 00:50:33.590 00:50:34.630 Rico Rejoso: Thanks, Supam.

351 00:50:35.280 00:50:35.870 Uttam Kumaran: Bye.