Meeting Title: Ops Sync Date: 2026-02-12 Meeting participants: Sheshu Chandrasekar, Elizah Joy, Sheshu Chandrasekar, Rico Rejoso, Clarence Stone


WEBVTT

1 00:00:57.910 00:00:59.020 Sheshu Chandrasekar: Hey, Eliza.

2 00:00:59.790 00:01:02.040 Elizah Joy: Hi. Hi, how are you?

3 00:01:02.040 00:01:03.329 Sheshu Chandrasekar: Good, how about yourself?

4 00:01:03.950 00:01:05.659 Elizah Joy: I’m good, I’m good.

5 00:01:07.250 00:01:08.550 Rico Rejoso: Hey guys, sorry I’m late.

6 00:01:08.920 00:01:11.390 Sheshu Chandrasekar: No, all good. How are you doing, Rico?

7 00:01:12.010 00:01:14.740 Rico Rejoso: Good, good. My computer just destroyed it.

8 00:01:15.070 00:01:15.640 Sheshu Chandrasekar: Yeah.

9 00:01:18.120 00:01:19.080 Sheshu Chandrasekar: Sorry.

10 00:01:23.900 00:01:27.380 Sheshu Chandrasekar: Sweet, let’s get started.

11 00:01:28.140 00:01:34.130 Sheshu Chandrasekar: Let me kind of give you an update. So, I created this oper… I’m sending this in our chat right now. Sorry, one second.

12 00:01:34.970 00:01:39.469 Sheshu Chandrasekar: So I’m creating this Operating 101 EP Guide that I’ll be presenting today.

13 00:01:40.550 00:01:41.120 Elizah Joy: Hmm.

14 00:01:41.660 00:01:53.200 Sheshu Chandrasekar: And Utom just reviewed it, gave me some comments, so I’m gonna take a look at that after this call. But plan is to kind of walk them through it. I also created a,

15 00:01:53.200 00:02:05.960 Sheshu Chandrasekar: kind of like the ops team-facing counterpart, so I’m gonna send that to you guys as well, but I need to review through Utam’s comments and see if it affects us personally, or if it’s just semantics for…

16 00:02:06.080 00:02:09.240 Sheshu Chandrasekar: the EP team, send it over.

17 00:02:09.460 00:02:19.030 Sheshu Chandrasekar: Regarding… the… Sorry, I’m having a… my brain is a little slow today. Regarding the,

18 00:02:19.490 00:02:30.349 Sheshu Chandrasekar: the tech stack mapping for go-to-market. I believe Hannah and Luke were reviewing it yesterday, but I need to follow up to see if they left any comments in there.

19 00:02:30.610 00:02:34.089 Sheshu Chandrasekar: With linear, I still haven’t added the labels,

20 00:02:34.390 00:02:45.509 Sheshu Chandrasekar: So, let me do that, some point today, but I’m gonna nudge Hannah and Luke to review that spreadsheet that you prepared for Liza, so…

21 00:02:45.590 00:02:54.949 Sheshu Chandrasekar: if they can quickly go through it. I have a hunch that they’re not gonna go through all of it, so… I think there’s gonna be a point in the next couple weeks where they’re gonna just…

22 00:02:55.460 00:03:02.559 Sheshu Chandrasekar: look at the labels and say, this is incorrect. In that case, I have the guide already prepared for them, so they can just look at that and…

23 00:03:02.700 00:03:06.469 Sheshu Chandrasekar: make a better judgment call than we did, or using AI, so…

24 00:03:06.650 00:03:07.450 Elizah Joy: Yeah.

25 00:03:07.450 00:03:12.180 Sheshu Chandrasekar: I just need to hear it a little bit more, so how did the Notion stuff go with, UTOM?

26 00:03:14.240 00:03:17.439 Elizah Joy: Oh, with the… like, with the closing off, not with.

27 00:03:17.440 00:03:19.450 Sheshu Chandrasekar: Yeah, the closing off stuff, yeah.

28 00:03:19.890 00:03:35.429 Elizah Joy: Oh yeah, the Forging the Future dock, it’s already in there. They’ve been divided, to their respective places. I don’t think… I haven’t heard back from Utam yet, if he’s gone through Notion. He did said so.

29 00:03:35.630 00:03:39.890 Elizah Joy: Yesterday that he’ll be going through Notion, but I haven’t heard back then.

30 00:03:40.390 00:03:52.330 Elizah Joy: But for the, domain knowledge base, what I did there was a bit similar to the current structure that we have in the past Notion homepage.

31 00:03:54.820 00:03:56.750 Sheshu Chandrasekar: Sorry, can you repeat that last part one more time?

32 00:03:56.750 00:04:03.280 Elizah Joy: Oh, so for the domain knowledge, pages that we have for the data, data platform.

33 00:04:03.450 00:04:03.800 Sheshu Chandrasekar: Yeah.

34 00:04:03.800 00:04:08.309 Elizah Joy: Strategy, so their format is,

35 00:04:08.830 00:04:24.980 Elizah Joy: a bit similar to the format that we had in the previous Notion homepage, because I think they’re still, we still need their input in how we want to do, like, the structure for them, because we, at the end of the day, we want it to be usable for them.

36 00:04:24.980 00:04:35.809 Elizah Joy: So yeah, that’s what I did there, and then with the GDM stuff that, GDM Notion that you sent over yesterday, I’m still waiting for…

37 00:04:36.920 00:04:48.440 Elizah Joy: few of the updates, or the confirmation from the spreadsheet that we’ve sent over to, Luke and Hannah, but I think, I did saw Hannah’s comments in there, so I think she did

38 00:04:48.850 00:04:50.110 Elizah Joy: Maid.

39 00:04:50.480 00:04:54.610 Elizah Joy: a few confirmations in there, and I think some are…

40 00:04:54.820 00:05:01.819 Elizah Joy: not as accurate as we wanted it to be. But she did… she did, put in her inputs in there.

41 00:05:02.560 00:05:12.010 Sheshu Chandrasekar: Okay, that works. Can you… okay, so two things. Maybe we’ll need to nudge them again today, because on the 17th, you know, we’re closing it. That’s, like, the hard deadline here.

42 00:05:14.400 00:05:21.870 Sheshu Chandrasekar: We can nudge them, ask them if there’s anything they need help with, maybe even ask those questions that you just had right now, but…

43 00:05:22.050 00:05:25.770 Elizah Joy: Let’s do that today. And then, second thing is, would you be comfortable.

44 00:05:25.930 00:05:37.720 Sheshu Chandrasekar: Reaching out to the engineering team, and asked them to, like, review the new Notion, and ask them to, like, you know, go through the materials and see what they would like to see in the new Notion.

45 00:05:38.890 00:05:42.110 Elizah Joy: Yep, sure. Yep, I can do that today, after this call.

46 00:05:42.610 00:05:44.350 Sheshu Chandrasekar: Sounds good. Okay, cool.

47 00:05:48.440 00:05:54.480 Elizah Joy: Okay, yeah, just on my end, since Clarence is here, I think one of the,

48 00:05:54.700 00:05:59.569 Elizah Joy: Few things that we need is, like, if you have a recommendation for

49 00:05:59.890 00:06:05.539 Elizah Joy: like, are new to hires for the buddy program? Like, who do you think would be the best?

50 00:06:06.080 00:06:09.450 Elizah Joy: Team member… the tenured team member that we want to pair them with.

51 00:06:09.590 00:06:17.430 Sheshu Chandrasekar: Yeah, so I think… For Jasmine, I think let’s have someone on the GTM team.

52 00:06:17.580 00:06:21.270 Sheshu Chandrasekar: Kind of be the… the buddy here, and then for…

53 00:06:21.400 00:06:28.290 Sheshu Chandrasekar: I think Bryle, if I’m correct… pronouncing his name right. Let’s have someone that’s more technical, so, like, maybe, like, someone like Greg.

54 00:06:28.420 00:06:32.480 Sheshu Chandrasekar: Pranav, kind of helping… help him out with that.

55 00:06:33.600 00:06:34.370 Elizah Joy: Okay.

56 00:06:34.370 00:06:41.370 Sheshu Chandrasekar: We need someone that’s a little bit more senior, and someone that’s kind of like a founding… founding member, or like the earlier members of Brainforge.

57 00:06:42.520 00:06:43.520 Elizah Joy: Okay.

58 00:06:44.060 00:06:44.870 Rico Rejoso: Okay, how…

59 00:06:44.870 00:06:49.980 Clarence Stone: So… so Utam’s already gonna be working with Rel, so, like.

60 00:06:50.130 00:06:53.939 Clarence Stone: I think it’s fine if Rico is paired with him.

61 00:06:54.780 00:06:55.660 Elizah Joy: Okay.

62 00:06:55.660 00:06:56.260 Sheshu Chandrasekar: Okay.

63 00:07:00.060 00:07:07.060 Clarence Stone: Jasmine… I don’t think she’s doing GTM, or, like, how do you get the sense of that?

64 00:07:07.220 00:07:10.020 Sheshu Chandrasekar: Oh, sorry, she’s a data person, right? So maybe…

65 00:07:10.020 00:07:13.829 Clarence Stone: She was backfilling for Robert’s team for analytics.

66 00:07:14.780 00:07:17.700 Clarence Stone: So somebody on the Robert’s team should do it.

67 00:07:19.050 00:07:23.859 Sheshu Chandrasekar: Yeah, so Robert’s team is primarily GTM, if I’m correct.

68 00:07:24.040 00:07:27.909 Clarence Stone: No, strategy analytics is… that’s his pillar. I mean, he… he runs.

69 00:07:27.910 00:07:34.019 Sheshu Chandrasekar: Oh, gotcha. Yeah, maybe we can have Amber, then, assigned to her, right?

70 00:07:35.120 00:07:37.390 Clarence Stone: Amber is on data.

71 00:07:38.560 00:07:40.070 Sheshu Chandrasekar: Okay, sorry.

72 00:07:41.050 00:07:43.229 Sheshu Chandrasekar: Okay, we’ll need to just look through that.

73 00:07:43.230 00:07:51.830 Clarence Stone: Yeah, just look… look at the… no, I want you to tell me who… who it should be, look through, like, Robert’s, like, stand-up, and see who’s there. That’s…

74 00:07:52.170 00:07:54.380 Clarence Stone: That’s where Jasmine’s falling into.

75 00:07:54.580 00:07:58.789 Sheshu Chandrasekar: Let me look at it right now. Let’s, let’s get this… I figured out.

76 00:08:01.620 00:08:09.750 Sheshu Chandrasekar: So, Jasmine is data, oh, I mean, Greg is data, Demi is data… .

77 00:08:09.750 00:08:18.579 Clarence Stone: Now, Jasmine is assigned to strategy with Robert as the pillar of, like, the categories of services we provide.

78 00:08:18.800 00:08:27.699 Clarence Stone: She might be doing data services, but she needs to be in that bucket where she’s, like, in the same, you know, type of engagements.

79 00:08:28.220 00:08:37.679 Clarence Stone: Right, if you put a data person in the, you know, data AI team with the MarTech AI, the MarTech data person, it doesn’t match.

80 00:08:38.220 00:08:41.169 Sheshu Chandrasekar: Okay, let me… Yeah, makes sense.

81 00:08:43.549 00:08:45.429 Sheshu Chandrasekar: Let’s see who is there…

82 00:08:46.930 00:08:56.110 Sheshu Chandrasekar: I mean, Amber is… I’m looking at the strategy service stand-up right now, and Amber is part of that… that group. So is Greg.

83 00:08:57.320 00:09:00.620 Sheshu Chandrasekar: So, let me, let me confirm with Robert. Let me ask Robert and ask him…

84 00:09:00.870 00:09:03.180 Sheshu Chandrasekar: Who could be the best person for…

85 00:09:03.670 00:09:04.740 Clarence Stone: Yeah, but like…

86 00:09:06.320 00:09:13.590 Clarence Stone: what… what does the buddy do? Are you just assigning people right now, guys? Like, that’s… that’s what my biggest concern was, like…

87 00:09:13.710 00:09:16.330 Clarence Stone: Like, you can be like, hey, you two guys are buddies.

88 00:09:16.790 00:09:19.150 Clarence Stone: Like, what’s… what are we expecting to happen here?

89 00:09:23.000 00:09:29.459 Sheshu Chandrasekar: Well, my understanding is that they’re kind of like the onboarding buddy, right? They kind of walk… they kind of help…

90 00:09:29.790 00:09:33.220 Sheshu Chandrasekar: get them acclimated to Brainforge’s processes,

91 00:09:34.020 00:09:35.480 Sheshu Chandrasekar: And stuff like that. So, like.

92 00:09:36.180 00:09:40.739 Clarence Stone: Yeah, I think I would make a program first. I, like, there isn’t one right now.

93 00:09:41.300 00:09:57.659 Sheshu Chandrasekar: Okay, so how do you feel about this, Rico? Can we create, like, a personalized onboarding guide? Like, we have a general one, but for strategy and analytics, like, we can talk about, like, hey, this is the work that we’ve done, this is your buddy, this is what she or he has worked on,

94 00:09:57.960 00:10:00.859 Sheshu Chandrasekar: Just, like, pick their brain about certain things, like…

95 00:10:00.980 00:10:05.389 Sheshu Chandrasekar: Would that… would that be a good… Good starting point here.

96 00:10:05.900 00:10:15.499 Rico Rejoso: Yeah, I think it falls under the same question I have yesterday regarding on how we’re gonna pick out the buddy for a new hire, especially if they’re, I mean, per department, right?

97 00:10:15.680 00:10:21.910 Rico Rejoso: Because we want them to work closely to someone that is doing the same work as they are assigned to, or the role that they’re filling in.

98 00:10:22.090 00:10:36.089 Rico Rejoso: So that… those are some of the missing points in the buddy program that, I pointed out, and we still haven’t gotten to that one. So I think before we, you know, implement the program, let’s cover this ground first. And at the same time, one question they’ll be asking.

99 00:10:36.090 00:10:45.049 Rico Rejoso: Is that what’s in it for them? What’s the program? How are they going to benefit the program? Since it’s another… you know, it’s an added work for them, aside from the work that they’re doing already.

100 00:10:45.840 00:10:46.960 Rico Rejoso: Right?

101 00:10:46.960 00:10:47.570 Sheshu Chandrasekar: Yeah.

102 00:10:47.780 00:10:53.429 Rico Rejoso: Because we have the points, you mentioned… I saw here the pointing system, and how are they gonna convert the points?

103 00:10:53.630 00:10:55.569 Rico Rejoso: we haven’t… you know.

104 00:10:55.570 00:10:57.600 Sheshu Chandrasekar: We haven’t fleshed that out yet.

105 00:10:57.600 00:10:58.330 Rico Rejoso: Yeah.

106 00:10:58.700 00:10:59.500 Elizah Joy: Yeah.

107 00:10:59.500 00:11:07.790 Rico Rejoso: So, the program… I mean, the program is pretty much laid out. We just, you know, there’s just some grounds, especially if we’re gonna present it to the whole team.

108 00:11:07.970 00:11:12.970 Rico Rejoso: What are, you know, there’s gonna be those questions that we have to anticipate that we haven’t come up with answers yet.

109 00:11:13.560 00:11:15.750 Rico Rejoso: So I think let’s try to regroup and, you know.

110 00:11:16.020 00:11:20.660 Rico Rejoso: Look at this program, before we fully implement it, especially for, you know…

111 00:11:20.760 00:11:34.330 Rico Rejoso: beta testing it with, incoming new team… new team members, since, Brian and Jasmine are, like, you know, part of the core… would be part of the core team moving forward, since Brile is working alongside with them, and

112 00:11:34.920 00:11:38.050 Rico Rejoso: Jasmine is the lead in the data strategy.

113 00:11:41.390 00:11:42.080 Sheshu Chandrasekar: Okay.

114 00:11:43.890 00:11:49.940 Sheshu Chandrasekar: Okay, I think there’s something I wanna do with the Buddy Bucks. I need to read that one more time, because…

115 00:11:50.420 00:11:54.110 Sheshu Chandrasekar: what I would like to see with the Buddy Bucks is maybe,

116 00:11:54.360 00:12:08.579 Sheshu Chandrasekar: as people help, like, onboard new team members, they can accumulate points, and then with the points they have, maybe we can give them, like, a 25, like, Amazon gift card or some sort. Something that’s very tangible, like, the reward is redeemable, right? So, like…

117 00:12:09.190 00:12:11.470 Sheshu Chandrasekar: I think we need to have some sort of language and…

118 00:12:11.900 00:12:14.060 Sheshu Chandrasekar: Structure in there, for the buddy books.

119 00:12:14.900 00:12:16.850 Rico Rejoso: We have to put it in the… in that.

120 00:12:16.950 00:12:18.970 Rico Rejoso: The investing dock that we have already.

121 00:12:19.370 00:12:22.679 Sheshu Chandrasekar: Okay, so who… who wants to take that on?

122 00:12:23.060 00:12:24.770 Sheshu Chandrasekar: And I can take a look at it.

123 00:12:25.910 00:12:31.920 Elizah Joy: I can start, doing that, and then I’ll send it over for review and for UTHAM as well.

124 00:12:32.060 00:12:42.429 Sheshu Chandrasekar: Okay, sweet. Yeah, let me take… once you’re done with it, let me take one look, because I kind of want to use the buddy book program for also the delivery team, because what I’m planning on doing here is…

125 00:12:42.640 00:12:55.300 Sheshu Chandrasekar: With the CSOs and… oh, sorry, with the SLs and EPs, when they create tickets, we want to do random spot checks to see if it holds, like, the standard that we’re trying to enforce pretty easily in your tickets, and…

126 00:12:55.600 00:13:00.910 Sheshu Chandrasekar: I kind of want to award them, saying, like, hey, you did a great job, your team did a great job, so, like.

127 00:13:01.450 00:13:08.889 Sheshu Chandrasekar: in appreciation of that, here’s, like, a $25 gift card. So I want to see if we can kind of use the BuddyBook program as, like, a template.

128 00:13:09.070 00:13:13.649 Sheshu Chandrasekar: For the Dell team as well. So, let me know when you’re done, so I can take a look at that.

129 00:13:14.120 00:13:17.349 Elizah Joy: Okay, yep, I’ll send it over once I’m done. Cool.

130 00:13:17.670 00:13:18.400 Sheshu Chandrasekar: Thank you.

131 00:13:21.990 00:13:27.169 Rico Rejoso: And maybe you can, you know, decrease the timeline from 6 weeks to 4 weeks.

132 00:13:27.920 00:13:34.289 Rico Rejoso: I mean, the checkpoint for you to check in with those new team members after 30 days, right?

133 00:13:35.590 00:13:36.380 Elizah Joy: Okay, okay.

134 00:13:36.960 00:13:38.570 Elizah Joy: I’ll update those two.

135 00:13:42.940 00:13:50.929 Sheshu Chandrasekar: So, Rico, how’s the, finance, legal, and recruiting, process map working right now?

136 00:13:51.100 00:13:56.749 Rico Rejoso: The finance, let’s go with the finance first. Finance, I promise about documents that we have.

137 00:13:56.750 00:13:58.190 Sheshu Chandrasekar: Or that Megan sent out.

138 00:13:58.190 00:14:01.589 Rico Rejoso: But Uta mentioned yesterday on Slack that

139 00:14:01.910 00:14:20.270 Rico Rejoso: I think those are being taken care of in advance already, and they don’t need those documents, so I didn’t focus on providing it ASAP, since I have an internet issue yesterday. I was… I mean, I was very limited with work, but with legal and recruitment side, everything is up to date. All legal request contracts and stuff are being managed, and…

140 00:14:20.290 00:14:26.659 Rico Rejoso: are filed accordingly. Recruitment. I’m currently updating it from yesterday’s interviews that we had, and I’ll be sending out the

141 00:14:26.690 00:14:32.600 Rico Rejoso: Dates and confirmation with the, interviewer or recruitment team, in a while after this meeting.

142 00:14:33.390 00:14:34.680 Sheshu Chandrasekar: Okay. So…

143 00:14:34.680 00:14:41.880 Rico Rejoso: And also, I owe you the layout for the workflow. All documents is on the operations manual database.

144 00:14:42.050 00:14:46.780 Rico Rejoso: It’s been there every… I mean…

145 00:14:47.020 00:15:00.819 Rico Rejoso: I mean, I already had those documents and step-by-step on how to create the contracts and how, it’s… the recruitment process is also there, but if in case, I’m gonna create a diagram with the workflow for,

146 00:15:01.100 00:15:01.880 Rico Rejoso: you know.

147 00:15:02.630 00:15:04.430 Rico Rejoso: For visual presentation as well.

148 00:15:04.720 00:15:19.220 Sheshu Chandrasekar: Yeah, it can be as simple as, like, you know, you know how you did it for the recruitment, right? You create, like, a process flow, and then just link documents that you already created in the database, so we can have, like, a quick reference from it. So, it shouldn’t take you that long, if anything.

149 00:15:21.430 00:15:22.310 Sheshu Chandrasekar: Cool.

150 00:15:23.440 00:15:24.970 Sheshu Chandrasekar: Alrighty, so…

151 00:15:26.990 00:15:33.589 Sheshu Chandrasekar: gave my updates in the morning, so let’s see. I think, yeah, biggest priority right now is to just nudge Hannah and Luke one more time.

152 00:15:33.780 00:15:40.439 Sheshu Chandrasekar: And then also, let’s get… let’s start onboarding the engineering team onto Notion, so…

153 00:15:40.630 00:15:43.830 Sheshu Chandrasekar: I think that’s, like, the biggest priority task today.

154 00:15:44.450 00:15:45.090 Elizah Joy: Okay.

155 00:15:46.760 00:15:50.059 Rico Rejoso: I have a scheduled onboarding call, by the way, with Praya, later on.

156 00:15:50.430 00:15:54.559 Rico Rejoso: For Jasmine, I haven’t… I mean, she hasn’t replied yet.

157 00:15:55.380 00:15:56.560 Rico Rejoso: But… Okay. Yeah.

158 00:15:56.560 00:15:59.120 Sheshu Chandrasekar: What time is the, onboarding call with Brile?

159 00:16:00.360 00:16:02.850 Rico Rejoso: That’s 12.30 Central Time.

160 00:16:03.850 00:16:05.150 Sheshu Chandrasekar: 12 o’clock Central Time?

161 00:16:05.720 00:16:06.760 Rico Rejoso: 12.30, yeah.

162 00:16:06.760 00:16:10.279 Sheshu Chandrasekar: 1230? Okay, I can probably hop on there, too, if you want to add me.

163 00:16:10.670 00:16:11.390 Rico Rejoso: Yep, sure.

164 00:16:11.830 00:16:12.420 Sheshu Chandrasekar: Cool.

165 00:16:15.140 00:16:24.509 Sheshu Chandrasekar: Alrighty, if we have… if there’s not anything else, let’s wrap up, but if not, like, yeah, let me know if you guys have any other concerns right now.

166 00:16:27.880 00:16:28.560 Rico Rejoso: I’m good.

167 00:16:28.940 00:16:29.570 Sheshu Chandrasekar: Okay.

168 00:16:30.540 00:16:31.880 Sheshu Chandrasekar: Eliza, all good?

169 00:16:32.290 00:16:36.539 Elizah Joy: Yeah, all good for now, but I’ll message you on Slack if anything comes up.

170 00:16:36.810 00:16:37.550 Sheshu Chandrasekar: Perfect.

171 00:16:38.000 00:16:40.000 Sheshu Chandrasekar: Awesome, team. We’ll talk soon, then.

172 00:16:40.450 00:16:42.340 Elizah Joy: Thank you so much, bye!

173 00:16:42.340 00:16:43.160 Sheshu Chandrasekar: Here you go.

174 00:16:43.560 00:16:44.280 Sheshu Chandrasekar: Bye.