Meeting Title: ABC | Sprint Retro Date: 2025-06-12 Meeting participants: Mustafa Raja, Amber Lin, Uttam Kumaran


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1 00:01:27.220 00:01:27.890 Mustafa Raja: Oops.

2 00:03:12.860 00:03:13.890 Mustafa Raja: One business.

3 00:03:25.280 00:03:26.610 Mustafa Raja: Yeah, I’m gonna have.

4 00:03:34.360 00:03:35.590 Mustafa Raja: And it was exit

5 00:04:03.550 00:04:04.820 Mustafa Raja: download.

6 00:04:08.990 00:04:10.920 Mustafa Raja: Oh, he’s not the admin.

7 00:04:11.860 00:04:12.710 Mustafa Raja: Yeah.

8 00:04:20.079 00:04:20.880 Mustafa Raja: hey?

9 00:04:22.470 00:04:22.790 Uttam Kumaran: Hey!

10 00:05:07.360 00:05:08.550 Amber Lin: Hi.

11 00:05:09.170 00:05:09.840 Mustafa Raja: Hey!

12 00:05:13.300 00:05:15.320 Amber Lin: Check on my new set.

13 00:05:15.530 00:05:16.329 Uttam Kumaran: How is it?

14 00:05:16.330 00:05:17.790 Amber Lin: It’s really awesome.

15 00:05:17.790 00:05:21.010 Uttam Kumaran: Yeah, yeah, quality. Sounds, good.

16 00:05:21.010 00:05:28.980 Amber Lin: Okay, that’s awesome. I bought it. And I realized, oh, this is the same brand as I as my Bluetooth headphone. So I really like them.

17 00:05:29.640 00:05:30.847 Uttam Kumaran: Yeah, this one.

18 00:05:31.720 00:05:34.339 Uttam Kumaran: The one you have is like the best.

19 00:05:35.130 00:05:38.539 Uttam Kumaran: like one of the best ones. I didn’t get like the $400 one, because.

20 00:05:38.540 00:05:39.330 Amber Lin: There’s no need.

21 00:05:39.330 00:05:44.379 Uttam Kumaran: Od. But yours is, I think yours is better than the one I have like. I have this one.

22 00:05:44.380 00:05:44.890 Amber Lin: Hmm.

23 00:05:44.890 00:05:50.340 Uttam Kumaran: But I think yours is like the newer version, but, like the qualities, the quality is really good. It is wired, though.

24 00:05:50.480 00:05:51.080 Amber Lin: Alright!

25 00:05:51.080 00:05:56.050 Uttam Kumaran: I actually prefer that because I I rather not have to remember to charge it.

26 00:05:56.050 00:05:56.790 Uttam Kumaran: Oh, yeah, okay.

27 00:05:56.790 00:06:01.319 Amber Lin: I will forget to charge it, and then there’s no use for it, so I’d rather have.

28 00:06:01.320 00:06:08.339 Uttam Kumaran: The other thing is, you’ll note you’ll it doesn’t pick up anything else, because my dog barks or stuff is going on.

29 00:06:08.850 00:06:13.240 Uttam Kumaran: It’s super super like there’s no background noise. Typically.

30 00:06:13.400 00:06:15.510 Amber Lin: Hmm! How come you’re not using it?

31 00:06:16.794 00:06:22.760 Uttam Kumaran: Cause i 1. i don’t think I look good. And 2, yeah, it’s sits on your ears. So

32 00:06:23.080 00:06:24.370 Uttam Kumaran: and today I’m.

33 00:06:24.370 00:06:24.990 Amber Lin: That’s true.

34 00:06:24.990 00:06:28.830 Uttam Kumaran: I’m pretty tired, so I have to listen. I have to blast music all day, so I don’t want to.

35 00:06:30.200 00:06:34.310 Amber Lin: I I was late to the meeting, cause I got coffee. This was yesterday.

36 00:06:34.310 00:06:36.780 Uttam Kumaran: Oh, jealous! Oh, okay.

37 00:06:36.780 00:06:38.389 Amber Lin: No, I put it in the fridge, and then.

38 00:06:38.390 00:06:38.930 Uttam Kumaran: Oh!

39 00:06:38.930 00:06:42.710 Amber Lin: Re-iced it, so caffeine is caffeine.

40 00:06:43.910 00:06:44.610 Uttam Kumaran: It is.

41 00:06:45.960 00:06:55.579 Amber Lin: Let me pull up ABC, so let me share screen

42 00:06:59.400 00:07:07.130 Amber Lin: I before we start. I wanted to run through a quick update on my side. I want to hear a quick update on Mustafa side. So

43 00:07:07.300 00:07:13.219 Amber Lin: I’ve been. I met with the clients on Monday, and on Wednesday to just

44 00:07:13.480 00:07:20.420 Amber Lin: work through the Central Doc together. I’ve been able to drag them across, and I think we’ve made a lot more progress on there.

45 00:07:20.780 00:07:28.099 Amber Lin: I’ve realized I cannot leave the clients on their own. It would just does. It just does not happen. And so the Central Doc is

46 00:07:28.500 00:07:52.460 Amber Lin: a lot more ready for us to migrate over than it was before. And I now have a grasp of, Okay, what’s what’s what needs to be done. So right now, there’s a lot of reformatting that needs to be done, and I want to do that in conjunction with all the feedback that we got from from the Csrs previously. So I will work with.

47 00:07:53.020 00:08:06.290 Amber Lin: I’ll work with the clients to just groom through those. It’s gonna be a little bit painful because they take an awful amount of time to get that done. So I’m just gonna book a meeting with them, and at least get them used to using the trainer bot.

48 00:08:06.970 00:08:23.869 Amber Lin: But on that note I think it’ll be so helpful if we let them directly update into the Central Doc. I don’t know when that’s gonna happen. So I kind of wanted to hear from you guys about the technical field abilities I would love to. I would love for it to happen next sprint. Do you think it’s possible.

49 00:08:26.720 00:08:29.460 Uttam Kumaran: Yeah, Mustafa, do you want to share what we talked about?

50 00:08:31.360 00:08:32.030 Mustafa Raja: Yeah, so.

51 00:08:32.030 00:08:33.000 Uttam Kumaran: To Async.

52 00:08:33.909 00:08:37.799 Mustafa Raja: Yeah. So for the 2 way sync, what we are going to do is

53 00:08:39.028 00:09:06.929 Mustafa Raja: the document was already in a Google drive. And and it provides us with a node that lets us listen to any changes made to the Central doc. So we are going to use that to see if there are any changes, and then we are. We are going to structure the document based on the table of contents and put put that into the super base. Now, the the listener doesn’t tell us what has changed.

54 00:09:06.929 00:09:15.009 Mustafa Raja: so what we are going to do is compare, compare the latest document with the document that we we would have in our super base table.

55 00:09:15.521 00:09:23.319 Mustafa Raja: Compare it and figure out the changes and then merge it. So it it will be like Github commits.

56 00:09:25.360 00:09:26.350 Mustafa Raja: Yeah, sounds good.

57 00:09:26.350 00:09:31.139 Mustafa Raja: This is so. This is what we have come up with. Come up with so far.

58 00:09:32.850 00:09:36.659 Amber Lin: Were we able to do like a Poc to see if it works.

59 00:09:38.023 00:09:40.700 Mustafa Raja: Not yet, but we can do it today if you want.

60 00:09:42.220 00:09:48.890 Amber Lin: I don’t. I don’t have a pressing need, because I’m meeting with the clients. I’m having the meeting with clients like in a few hours, so it will.

61 00:09:48.890 00:09:50.740 Uttam Kumaran: I think you should try it today.

62 00:09:50.980 00:09:52.920 Uttam Kumaran: Oh, okay, okay, okay.

63 00:09:52.920 00:09:58.489 Uttam Kumaran: I think you should try. Today. We, I think we have good momentum and we have a solution that seems like it’s gonna work.

64 00:09:59.050 00:10:04.480 Uttam Kumaran: It’s a bit complicated. And if it works, then we are a real engineering company. So.

65 00:10:04.480 00:10:05.909 Amber Lin: Yay! Yay!

66 00:10:06.860 00:10:30.101 Mustafa Raja: Okay. So to summarize it, what we are going to do, what we are going to do or try today is we’re going to make a workflow. we’re going to put the document based on the table of contents as Ids in the super base table. And then we’re going to make some changes in the Central Doc and see if we can merge it correctly to

67 00:10:30.620 00:10:33.020 Mustafa Raja: make it a real time. Sync, yeah.

68 00:10:33.910 00:10:45.050 Amber Lin: great. I think I’m I’m glad I spent the time to reorganize this yesterday, then, I think, right now, I, the the table, of contents just makes so much more sense.

69 00:10:45.565 00:10:56.139 Amber Lin: If you can see it here. So I also verify with the clients if if this structure works for them. So I think this will allow you to like the table. Content is so much shorter now.

70 00:10:56.570 00:11:00.620 Amber Lin: And this would this, this was it before?

71 00:11:01.967 00:11:05.110 Amber Lin: So we’ll go all of this tab.

72 00:11:05.110 00:11:07.227 Amber Lin: Yeah, we’ll go off of this tab.

73 00:11:07.530 00:11:10.450 Mustafa Raja: Yeah, that’s pretty good. This one’s pretty good.

74 00:11:10.450 00:11:11.550 Amber Lin: Yeah, awesome.

75 00:11:11.800 00:11:23.749 Amber Lin: Okay. So love to hear that. Let me share my screen for linear. I wanna groom for the next cycle, because I do think we have a quite a bit of engineering work to do next cycle.

76 00:11:24.800 00:11:27.790 Amber Lin: So where is this?

77 00:11:28.925 00:11:30.830 Amber Lin: No, here.

78 00:11:33.480 00:11:41.480 Amber Lin: So all of these still need grooming. So I said, We need to reformat the central dock, which I will be doing.

79 00:11:43.350 00:11:48.970 Amber Lin: I will also be working with the clients on this.

80 00:11:51.040 00:12:00.440 Amber Lin: I guess on. This is this is something we’re starting today. I’m gonna scoot that to in cycle.

81 00:12:01.500 00:12:06.319 Amber Lin: And then next cycle. I think this is super important.

82 00:12:06.720 00:12:13.190 Amber Lin: If we can accomplish that. Do we have any point estimates on these? Can I just, or can I

83 00:12:13.360 00:12:15.940 Amber Lin: put 8 points.

84 00:12:16.440 00:12:19.829 Uttam Kumaran: So this one is the other one right? Or what like.

85 00:12:20.178 00:12:25.410 Amber Lin: This is the same, this, this is the same thing. Wait! What sorry you’re saying.

86 00:12:25.810 00:12:28.530 Uttam Kumaran: Isn’t this the same one as the one that’s that’s.

87 00:12:29.060 00:12:29.539 Amber Lin: Oh! Is this?

88 00:12:29.540 00:12:34.109 Uttam Kumaran: Oh, so let’s close the spike, and then.

89 00:12:34.110 00:12:34.770 Amber Lin: I agree.

90 00:12:35.630 00:12:40.259 Uttam Kumaran: The one that the this is a duplicate. 3. 3. And though that one is a duplicate.

91 00:12:40.510 00:12:41.781 Amber Lin: 3, 3, 3 and

92 00:12:42.100 00:12:43.359 Uttam Kumaran: 3, 57.

93 00:12:44.940 00:12:46.360 Amber Lin: Where is 57.

94 00:12:46.360 00:12:49.870 Mustafa Raja: This one. And then if you go here, yeah, this one.

95 00:12:50.340 00:12:50.860 Amber Lin: Oh!

96 00:12:50.860 00:12:52.090 Mustafa Raja: Direct updates.

97 00:12:53.030 00:12:56.960 Amber Lin: Oh, oh, silly, silly me! Okay, this one has

98 00:12:57.280 00:13:00.160 Amber Lin: which one has requirements. Where’s 3, 3, 3.

99 00:13:04.460 00:13:09.620 Amber Lin: Okay, I’m gonna cancel this one, then duplicates.

100 00:13:13.220 00:13:15.480 Amber Lin: Okay? So we’re gonna start.

101 00:13:17.000 00:13:22.710 Amber Lin: I mean, we’re, I don’t think we’re gonna finish this today. Oh, nor this week.

102 00:13:23.130 00:13:26.499 Amber Lin: I don’t know what’s the estimate on this.

103 00:13:26.500 00:13:27.110 Uttam Kumaran: Thank you.

104 00:13:30.040 00:13:35.389 Mustafa Raja: Yeah, I I guess. Today we are going to test out the 2 way sync thing.

105 00:13:36.115 00:14:00.609 Mustafa Raja: and trainer bot is pretty much ready so the so my only question would be, how? How? How we are going to make enable user to make the changes through the conversational con conversational thing. How are we going to identify our sections? That are we that we are going to append the change.

106 00:14:03.850 00:14:07.669 Amber Lin: I think this should be its own ticket, and then this should be a separate ticket.

107 00:14:11.630 00:14:17.399 Amber Lin: And or is this a question for me? How do we enable

108 00:14:18.560 00:14:24.239 Mustafa Raja: Yeah, yeah. I mean, it’s for too many new book.

109 00:14:25.188 00:14:28.660 Uttam Kumaran: Wait! How do we enable users to make changes? What do you mean? Enable.

110 00:14:28.660 00:14:30.524 Mustafa Raja: Yeah. By that.

111 00:14:30.990 00:14:31.640 Uttam Kumaran: Like training.

112 00:14:31.640 00:14:47.909 Mustafa Raja: So let’s say the trainer board. So let’s say, let’s say, we were talking about about this yesterday, let’s say, our user wants to make a change in Central Doc in the update in the budget section.

113 00:14:49.820 00:15:01.170 Mustafa Raja: I, I feel we we need to. We need to have some sort of rag for the AI agent to identify the sections that user wants to append to.

114 00:15:04.930 00:15:06.679 Mustafa Raja: We need some sort of semantic.

115 00:15:06.680 00:15:12.830 Uttam Kumaran: Oh, I see what you mean. So it’s like telling the user which, like finding out which section that an update needs to be.

116 00:15:12.830 00:15:14.440 Mustafa Raja: Yeah, yeah, yeah, yeah.

117 00:15:14.440 00:15:15.080 Uttam Kumaran: Okay.

118 00:15:16.790 00:15:21.279 Mustafa Raja: Yeah, I feel I feel if we have some sort of flag just for the semantic search

119 00:15:22.940 00:15:26.819 Mustafa Raja: that will be helpful. I don’t know.

120 00:15:36.660 00:15:39.449 Mustafa Raja: We need. We need some sort of some semantic search right?

121 00:15:43.951 00:15:55.230 Amber Lin: I. When I was doing this, I remember that you guys needed let me share the central doc. I remember you guys kind of needed, the semantic sharing I was trying to

122 00:15:55.370 00:15:56.410 Amber Lin: add.

123 00:15:56.630 00:16:06.650 Amber Lin: Say, if you if we look here oh, not that one for for ones that I

124 00:16:06.800 00:16:13.969 Amber Lin: could help edit. I was trying to add in, where? Where is that? Like the

125 00:16:16.320 00:16:19.328 Amber Lin: a few key words and key?

126 00:16:20.230 00:16:21.249 Mustafa Raja: Do you have some questions.

127 00:16:21.250 00:16:22.149 Amber Lin: And it does.

128 00:16:22.470 00:16:27.269 Amber Lin: Yeah. So let me know what I was trying to do this.

129 00:16:28.080 00:16:43.449 Amber Lin: But let me know what will be more helpful and how you want this to be structured, and we can just, I can just incorporate it into the formatting. And then that way you might be able to do rag better. But is this good enough, or do you need more? What would you need.

130 00:16:43.880 00:16:46.090 Mustafa Raja: Yeah, this is, this is pretty good, actually.

131 00:16:46.770 00:16:55.190 Mustafa Raja: But I’ll review this today. And and I’ll test the 2 way, same thing, and then we can come back to this.

132 00:16:55.360 00:17:00.990 Amber Lin: Okay, yeah, I don’t have. I don’t yet have these for every single thing, cause I just didn’t have time to go through all of them. But.

133 00:17:00.990 00:17:01.510 Mustafa Raja: Yeah.

134 00:17:01.855 00:17:11.180 Amber Lin: If we can, we like these. This is AI generated so we can run through it with AI. Give every document whatever you need for semantics.

135 00:17:12.099 00:17:15.911 Mustafa Raja: Yeah, or we can, or we can just have

136 00:17:16.909 00:17:31.509 Mustafa Raja: pretty brief description about every section that we currently have and give it to give it to AI and let it decide. Okay, what? The what the users trying to input which section.

137 00:17:31.510 00:17:42.159 Uttam Kumaran: Yeah, I basically. Well, here’s what here’s like 2. Here’s 2 things I was thinking about, one amber, I think, for the beginning thing you should be in the loop on any you or someone needs to be in the loop before any changes are made.

138 00:17:43.060 00:17:50.889 Uttam Kumaran: So I told Mustafa that this is gonna go to a spreadsheet with, here’s a section that’s getting updated. And here’s here’s like, what’s getting changed.

139 00:17:51.510 00:17:55.329 Uttam Kumaran: Then you can basically flag it as like approved.

140 00:17:56.520 00:17:59.289 Uttam Kumaran: And we should do that for a while before this is automatic.

141 00:18:01.960 00:18:06.230 Uttam Kumaran: So I think, Mustafa just make decisions, for now

142 00:18:06.850 00:18:10.709 Uttam Kumaran: and then you can get feedback from amber on.

143 00:18:11.960 00:18:13.569 Amber Lin: What needs to get tuned.

144 00:18:14.200 00:18:19.030 Amber Lin: And if you need, you can just duplicate a document if you if we’re worried about affecting.

145 00:18:19.030 00:18:19.460 Mustafa Raja: Yeah.

146 00:18:19.460 00:18:20.680 Amber Lin: And performance.

147 00:18:21.220 00:18:24.489 Mustafa Raja: Yeah, that was that was the idea we had.

148 00:18:25.890 00:18:27.540 Mustafa Raja: Yeah, I feel this is pretty good.

149 00:18:27.910 00:18:28.530 Amber Lin: Okay.

150 00:18:29.230 00:18:43.269 Mustafa Raja: Okay for for for semantic search. I think I think it will be better if we have some kind of brief description about the section. And let AI decide which which section our changes belong to. How how do you feel about that?

151 00:18:43.590 00:18:45.030 Amber Lin: Okay, I like that.

152 00:18:46.072 00:18:48.510 Amber Lin: For each section

153 00:18:52.280 00:18:55.910 Amber Lin: of what this section is about.

154 00:18:56.460 00:18:57.819 Amber Lin: Yeah, awesome.

155 00:18:57.820 00:19:06.100 Mustafa Raja: Yeah. And we are letting AI create new sections. If if it feels the need to right? Or should we just block it

156 00:19:07.350 00:19:09.719 Mustafa Raja: and work with only the current sections.

157 00:19:10.560 00:19:11.770 Amber Lin: Good question.

158 00:19:12.150 00:19:13.250 Uttam Kumaran: Wait! Say that again.

159 00:19:14.322 00:19:22.070 Mustafa Raja: Should I? Should I be able to create new sections, or or should we have it work with our current sections only.

160 00:19:22.840 00:19:27.629 Uttam Kumaran: I think I think they I should propose like if a new section needs to get created

161 00:19:28.220 00:19:29.879 Uttam Kumaran: that should be considered.

162 00:19:30.200 00:19:34.220 Uttam Kumaran: But I don’t think a majority of this stuff should fit into the existing sections.

163 00:19:35.230 00:19:40.800 Mustafa Raja: Okay, okay, yeah, I think this is pretty good.

164 00:19:44.220 00:19:53.430 Amber Lin: awesome. I left this as a comment, I think we’re doing the 2 weeks sync today is this also something that you would be doing today as well.

165 00:19:53.800 00:19:56.510 Amber Lin: This Ui searching part.

166 00:19:56.850 00:20:00.279 Mustafa Raja: Yeah, if I have time I’ll I’ll I’ll do this.

167 00:20:00.650 00:20:06.050 Amber Lin: Okay, okay, sounds good. But I I know we’re doing the 2 way. Sync, first.st

168 00:20:06.370 00:20:06.700 Mustafa Raja: Yeah.

169 00:20:06.700 00:20:10.579 Amber Lin: Which I made a separate ticket. Because I think that’s gonna get done earlier.

170 00:20:13.510 00:20:16.940 Amber Lin: Reformat central Doc, I’ll take your.

171 00:20:17.860 00:20:24.769 Amber Lin: are you gonna do the for each section. You’re gonna make use, AI to add a description right.

172 00:20:25.160 00:20:30.559 Mustafa Raja: Yeah, we can. I can do that and add the description to super base.

173 00:20:30.960 00:20:32.300 Amber Lin: Okay. Sounds good.

174 00:20:35.490 00:20:38.400 Mustafa Raja: So the document stays readable.

175 00:20:39.250 00:20:40.560 Amber Lin: Awesome, awesome.

176 00:20:40.740 00:20:45.120 Amber Lin: I’m looking at these.

177 00:20:45.880 00:20:56.240 Amber Lin: So yeah, just checking if anything can be closed. I know this is in progress.

178 00:20:56.720 00:21:06.519 Mustafa Raja: Okay, if I’m creating a new AI agent, which which which Llm, should I be using.

179 00:21:08.180 00:21:10.640 Amber Lin: Question for Casey. Not me.

180 00:21:11.420 00:21:13.680 Uttam Kumaran: What do you mean? Like? What? What model?

181 00:21:13.680 00:21:17.830 Mustafa Raja: Should I? Yeah, yeah, should I use as your should I use Openai? Should I use.

182 00:21:17.830 00:21:21.640 Uttam Kumaran: Oh, yeah, I would use the azure. I would just clone the azure whatever they’re using.

183 00:21:21.640 00:21:21.970 Mustafa Raja: Okay.

184 00:21:21.970 00:21:23.380 Uttam Kumaran: Or azure. Yeah.

185 00:21:24.080 00:21:24.900 Mustafa Raja: Okay. Okay.

186 00:21:37.865 00:21:40.310 Amber Lin: Archive documents. Okay?

187 00:21:40.710 00:21:41.700 Amber Lin: Scope.

188 00:21:44.000 00:21:49.680 Amber Lin: Okay, that sends did. Were you able to get access to the ABC email.

189 00:21:50.280 00:21:53.549 Mustafa Raja: No, I have added the screenshots with them here.

190 00:21:53.840 00:21:58.719 Amber Lin: Okay, I will. I will go. Ask, I’ll email, Tim, sorry for the delay.

191 00:21:59.590 00:22:01.259 Amber Lin: Let me see.

192 00:22:02.470 00:22:05.160 Amber Lin: Able testing.

193 00:22:06.670 00:22:15.730 Amber Lin: Okay, yeah, I’m looking at the other. So this these 3 tickets are.

194 00:22:16.160 00:22:20.950 Amber Lin: because next cycle you’re probably going to be very much focused on the trainer. Bot.

195 00:22:22.520 00:22:23.280 Mustafa Raja: Yeah.

196 00:22:23.280 00:22:27.870 Amber Lin: I was thinking, I I saw that this one.

197 00:22:30.400 00:22:31.210 Amber Lin: It’s

198 00:22:31.320 00:22:38.699 Amber Lin: Shh. Maybe I should assign this to Casey. I know Casey is gonna be working on adding spreadsheets to the

199 00:22:39.370 00:22:41.102 Amber Lin: to the current,

200 00:22:43.470 00:22:50.679 Amber Lin: to our AI system. So that’s gonna take up some of some of his time. Maybe he has capacity for this.

201 00:22:51.360 00:22:53.410 Amber Lin: How much I guess.

202 00:22:53.735 00:22:56.340 Uttam Kumaran: I don’t know. It’s gonna happen by Friday.

203 00:22:56.340 00:23:00.140 Amber Lin: Oh, it’s not not not not this Friday. I’m looking at next cycle.

204 00:23:00.140 00:23:03.819 Uttam Kumaran: Oh, this is like a this is like a 2.

205 00:23:03.820 00:23:04.550 Amber Lin: Okay.

206 00:23:05.480 00:23:08.100 Mustafa Raja: Yeah, can, can we actually add points to my tickets, too?

207 00:23:08.540 00:23:10.701 Amber Lin: Oh, yes, yes, yes, let’s do that.

208 00:23:11.757 00:23:15.449 Mustafa Raja: How much is this two-way sync thing

209 00:23:16.511 00:23:18.830 Mustafa Raja: this should be pretty simple. I feel I don’t know.

210 00:23:21.230 00:23:22.000 Amber Lin: Oh, Tom!

211 00:23:22.530 00:23:23.700 Amber Lin: Two-way sync.

212 00:23:24.220 00:23:29.090 Uttam Kumaran: Oh, I would put I would put it as a 5 dude. You think it’s gonna be simple.

213 00:23:29.560 00:23:31.642 Mustafa Raja: I think I think it should be.

214 00:23:32.220 00:23:34.519 Amber Lin: Do 3 do 3, and then we’ll see.

215 00:23:34.520 00:23:38.060 Uttam Kumaran: Yeah, like we’ll see. I don’t. I’m not saying you’re. I’m not saying

216 00:23:38.320 00:23:43.050 Uttam Kumaran: I’m not saying you’re bad. I’m just saying it’s kind of it’s like there’s some edge cases.

217 00:23:43.330 00:23:47.590 Mustafa Raja: Oh, maybe we do. We should do then. 5. Then.

218 00:23:47.590 00:23:48.720 Uttam Kumaran: I would do fine.

219 00:23:49.390 00:23:52.219 Amber Lin: Okay, okay, let’s do 5.

220 00:23:52.220 00:23:57.350 Uttam Kumaran: Because I think I don’t think we, I think you’re gonna do it. And I think Amber’s gonna have some feedback. So I think it’s gonna.

221 00:23:57.350 00:24:00.240 Mustafa Raja: Yeah, it’s going to be something back and forth.

222 00:24:09.040 00:24:10.580 Amber Lin: okay, I will.

223 00:24:14.090 00:24:17.089 Amber Lin: Great sounds. Good.

224 00:24:18.040 00:24:21.940 Amber Lin: This probably is going to be as big as possible.

225 00:24:23.886 00:24:33.849 Amber Lin: Reformatting. This will take at least, I think 5 or 8, 5, because we can

226 00:24:34.320 00:24:39.090 Amber Lin: 8, because we need client feedback. 5. Because we can use AI, what do we think.

227 00:24:40.310 00:24:43.600 Uttam Kumaran: What is this? 1? 0, 3, 4, 5.

228 00:24:43.790 00:24:44.310 Amber Lin: Okay.

229 00:24:44.310 00:24:51.080 Uttam Kumaran: But I would. I would also assign this to Mustafa, and then you work with him on it.

230 00:24:52.830 00:24:53.949 Uttam Kumaran: What do you think.

231 00:24:53.950 00:24:58.082 Amber Lin: I think I, in terms of formatting. What I really mean is that

232 00:24:58.730 00:25:07.059 Amber Lin: the client says they’d have a lot of procedures. They need to add, we cannot do this without the client, and hence why this is, gonna take a long time.

233 00:25:08.250 00:25:14.860 Uttam Kumaran: I would do it as a 5, but I still would like I would rather an engineer take it.

234 00:25:15.350 00:25:21.150 Uttam Kumaran: and then you, if that, if it requires 2 or 3 meetings, then bake that into the estimate.

235 00:25:23.130 00:25:26.619 Amber Lin: This will need quite a few meetings.

236 00:25:27.360 00:25:31.850 Uttam Kumaran: So that’s what I was. That’s what I would suggest is like us. Have it be Casey or Mustafa.

237 00:25:31.950 00:25:44.209 Uttam Kumaran: but like the reason why I want to move it off of your plate is so that the team knows what happens here, and that on the next time we do something like this, they can take it entirely.

238 00:25:44.920 00:25:49.649 Uttam Kumaran: So I you can’t. You can’t do like sub assignees here, but I would assign it.

239 00:25:50.110 00:25:56.090 Uttam Kumaran: I would either assign it to one of them now and then we and then we. When we get to next cycle, we can

240 00:25:56.510 00:25:57.630 Uttam Kumaran: figure it out.

241 00:25:57.940 00:26:07.859 Amber Lin: Okay, yeah, I I would. I’ll break this. I’ll say, breakdown down, ticket by Section 2.

242 00:26:08.300 00:26:11.119 Amber Lin: Be reformatted. I think that will be better.

243 00:26:13.210 00:26:14.939 Amber Lin: Okay, I’ll do that.

244 00:26:16.130 00:26:18.649 Amber Lin: 5 points.

245 00:26:19.890 00:26:21.080 Uttam Kumaran: Alright!

246 00:26:23.130 00:26:24.590 Amber Lin: This one

247 00:26:28.600 00:26:32.640 Amber Lin: this is gonna take a lot of back and forth between us and the client. They’re gonna be.

248 00:26:32.640 00:26:37.039 Uttam Kumaran: So this one is not it? I would say. We need to establish a process.

249 00:26:40.140 00:26:42.900 Uttam Kumaran: So for me. I want to see that.

250 00:26:43.120 00:26:43.590 Amber Lin: The client.

251 00:26:43.590 00:26:49.609 Uttam Kumaran: There is a there well, no, no. I want to see that there is a a weekly or bi-weekly

252 00:26:49.840 00:26:52.650 Uttam Kumaran: meeting or process by which

253 00:26:53.290 00:27:02.140 Uttam Kumaran: we? We’re we’re looking at the responses, flagging the ones that are unsupported. And then changes are getting made

254 00:27:02.340 00:27:08.910 Uttam Kumaran: so that could be a meeting that could be anything that could be automated stuff. But like

255 00:27:09.170 00:27:12.790 Uttam Kumaran: this has there has to be some sprint

256 00:27:13.480 00:27:16.539 Uttam Kumaran: per sprint iteration cycle that does this.

257 00:27:19.410 00:27:20.360 Amber Lin: Great.

258 00:27:20.940 00:27:24.349 Amber Lin: Okay, so now, I feel like, this would be less.

259 00:27:24.550 00:27:27.300 Amber Lin: I’m going, to say, this is a 2 point.

260 00:27:27.910 00:27:40.370 Amber Lin: I think I’m gonna change this ticket to establish feedback review session and area. It’s the 1st one

261 00:27:43.740 00:27:46.210 Amber Lin: I feel better about this.

262 00:27:49.230 00:27:53.586 Amber Lin: Okay, that’s all right. I think that’s it 2 point.

263 00:27:54.360 00:28:10.350 Amber Lin: And that’s 2 points feedback. I think that’s very high priority enable reformat. Oh, gosh, okay, Prof.

264 00:28:10.740 00:28:14.510 Amber Lin: Medium, what about this?

265 00:28:15.660 00:28:19.689 Amber Lin: My vision for this is that once we have the trainer bought

266 00:28:20.400 00:28:32.830 Amber Lin: enable it to make updates, then we also have this feedback to suggestion workflow, and the whole thing gets automated. So Csr gives feedback. Our AI gives it

267 00:28:32.980 00:28:38.310 Amber Lin: gives a suggestion to what needs to be updated and the trainer just clicks on that.

268 00:28:38.590 00:28:45.170 Amber Lin: And then they do any adjustments, adjustments, adjustments that’s needed, and then it gets pushed.

269 00:28:45.330 00:28:51.259 Amber Lin: So what do you guys think about this? And how?

270 00:28:51.460 00:28:54.440 Amber Lin: How should we tackle this.

271 00:28:58.076 00:29:00.050 Uttam Kumaran: Yeah, mustafa. If you want to go first.st

272 00:29:01.940 00:29:04.300 Mustafa Raja: Yeah, I need some background on this.

273 00:29:05.580 00:29:08.029 Amber Lin: Okay, there is Utah.

274 00:29:08.030 00:29:08.550 Uttam Kumaran: What?

275 00:29:09.410 00:29:10.340 Uttam Kumaran: No, no!

276 00:29:10.340 00:29:12.659 Uttam Kumaran: Walk through the walk through the background with him like.

277 00:29:12.660 00:29:13.055 Amber Lin: Okay.

278 00:29:13.450 00:29:20.500 Uttam Kumaran: I’m not. I’m not working on these tickets. So it’s Mustafa or Casey. They both have to understand what everything is. So.

279 00:29:20.500 00:29:21.380 Amber Lin: Okay. Awesome.

280 00:29:21.380 00:29:23.310 Uttam Kumaran: I would walk through the background with him. Yeah, yeah.

281 00:29:23.310 00:29:23.700 Amber Lin: So.

282 00:29:23.980 00:29:27.059 Uttam Kumaran: He knows, like, yeah, I would walk through. It’s we’re we’re.

283 00:29:27.060 00:29:32.090 Amber Lin: Yeah, let me share my whole screen. So I can show you guys what’s happening.

284 00:29:32.700 00:29:41.750 Amber Lin: So right now, when we have things, when when people suggest

285 00:29:42.110 00:29:45.470 Amber Lin: feedback. So let me actually start here.

286 00:29:47.700 00:29:51.180 Amber Lin: So this

287 00:29:51.300 00:29:58.990 Amber Lin: is no, that is, where is my, where did it go? Anyways, if you give a thumbs down.

288 00:29:59.390 00:30:02.689 Mustafa Raja: Anyways, you should be able to type in a feedback.

289 00:30:02.990 00:30:09.120 Amber Lin: And then that feedback is collected in this spreadsheet.

290 00:30:09.510 00:30:16.969 Amber Lin: So in this spreadsheet we have what people ask, what the bot outputted, and then their feedback.

291 00:30:17.210 00:30:28.899 Amber Lin: And right now we’re manually going in looking at. Oh, what did they say? And then tagging people? And then maybe they’ll do the changes

292 00:30:29.490 00:30:30.270 Amber Lin: and.

293 00:30:30.270 00:30:30.800 Mustafa Raja: Okay.

294 00:30:30.800 00:30:36.659 Amber Lin: What we think for this ticket is to start from

295 00:30:36.940 00:30:49.249 Amber Lin: automate the stuff that will happen after we get the feedback. So to automate the step between receiving the feedback and turning that into maybe we should update this thing

296 00:30:49.390 00:30:54.290 Amber Lin: so it will be a another column.

297 00:30:55.190 00:30:55.870 Mustafa Raja: Yeah.

298 00:30:55.870 00:31:03.020 Amber Lin: Of Rec. Essentially recommended changes. Right? So based on this, a bot recommends the changes.

299 00:31:03.340 00:31:21.469 Mustafa Raja: Okay, okay, so so this is so this is the issue was then assigned to someone. Rather than that, we’ll have our our AI agent suggest us what? What our next steps should be. Yeah, this is, this is good.

300 00:31:34.520 00:31:35.080 Amber Lin: Yeah.

301 00:31:35.630 00:31:36.240 Mustafa Raja: Yeah.

302 00:31:37.310 00:31:39.150 Amber Lin: That’s essentially this ticket.

303 00:31:40.700 00:31:49.170 Amber Lin: And I mean something that I was thinking about after after we have all of this, have the direct update to Central Doc. Then maybe this

304 00:31:49.350 00:31:53.930 Amber Lin: can directly we can have some sort of automation between the suggestive feedback

305 00:31:54.100 00:32:01.230 Amber Lin: and then the making the direct updates. So maybe a link that people can click there. But anyway, that’s for later.

306 00:32:01.320 00:32:12.639 Mustafa Raja: Yeah, we can have a have some sort of a button over in the sheets. If the user feels pretty good about the recommended changes, you know. Just.

307 00:32:12.640 00:32:13.160 Amber Lin: I’m coming.

308 00:32:13.160 00:32:14.450 Mustafa Raja: That, and let it.

309 00:32:14.450 00:32:15.560 Amber Lin: Yeah, yeah.

310 00:32:15.560 00:32:16.990 Mustafa Raja: Go through the automation.

311 00:32:17.300 00:32:17.970 Amber Lin: Yeah.

312 00:32:18.290 00:32:19.330 Amber Lin: Great.

313 00:32:19.330 00:32:20.180 Mustafa Raja: Yeah, that can be something.

314 00:32:20.180 00:32:21.800 Amber Lin: Yeah, awesome.

315 00:32:24.280 00:32:26.430 Amber Lin: You think it’s 5 points.

316 00:32:34.520 00:32:35.470 Uttam Kumaran: Yes.

317 00:32:36.020 00:32:36.590 Amber Lin: Great.

318 00:32:37.350 00:32:37.930 Uttam Kumaran: Yeah.

319 00:32:39.030 00:32:39.500 Amber Lin: Okay.

320 00:32:39.500 00:32:40.649 Uttam Kumaran: That’s a good ticket.

321 00:32:41.750 00:32:43.840 Amber Lin: Yay, thanks. AI.

322 00:32:48.760 00:32:53.240 Amber Lin: yeah, I mean, that’s pretty much I can move.

323 00:32:54.740 00:32:56.750 Uttam Kumaran: I think we have to jump to matter.

324 00:32:56.750 00:32:59.460 Amber Lin: Yeah, okay, go jump. Yeah. All good.

325 00:32:59.820 00:33:00.380 Amber Lin: Okay. Okay.

326 00:33:00.380 00:33:06.250 Amber Lin: So I’ll I’ll go jump. I think we’re good. This is all I needed. I’ll group this more alrighty.

327 00:33:06.250 00:33:06.700 Mustafa Raja: Okay.

328 00:33:06.700 00:33:07.100 Uttam Kumaran: Okay.

329 00:33:07.100 00:33:07.450 Amber Lin: So.

330 00:33:07.450 00:33:08.130 Uttam Kumaran: Bye.

331 00:33:08.580 00:33:09.910 Mustafa Raja: Okay bye, bye.