1 00:00:00,960 --> 00:00:04,600 Speaker 1: What if your CV was perfect, your cover letter polished, 2 00:00:04,640 --> 00:00:07,080 Speaker 1: and you still couldn't get a foot in the door. 3 00:00:07,840 --> 00:00:11,440 Speaker 1: That is the reality many job seekers are facing right now, 4 00:00:11,960 --> 00:00:14,840 Speaker 1: and with AI making it easier than ever to create 5 00:00:15,000 --> 00:00:19,439 Speaker 1: flawless applications, recruiters are overwhelmed by a sea of high 6 00:00:19,480 --> 00:00:23,640 Speaker 1: caliber resumes. So one of the listener questions for today 7 00:00:23,800 --> 00:00:27,640 Speaker 1: is how do you stand out? Because in today's Asked 8 00:00:27,680 --> 00:00:30,360 Speaker 1: Me Anything episode, which, by the way, if you missed 9 00:00:30,440 --> 00:00:33,720 Speaker 1: part one, just go back to last week's episode in 10 00:00:33,800 --> 00:00:37,920 Speaker 1: your podcast feed, I am going to be diving into 11 00:00:37,920 --> 00:00:41,800 Speaker 1: listener Tony's question how to differentiate yourself in the job 12 00:00:41,840 --> 00:00:44,640 Speaker 1: market when everyone else looks great on paper. We're going 13 00:00:44,720 --> 00:00:47,159 Speaker 1: to explore what I think your secret weapon might be, 14 00:00:47,640 --> 00:00:50,320 Speaker 1: what manages like me really look for, and how to 15 00:00:50,360 --> 00:00:54,400 Speaker 1: avoid falling into the trap of AI slop. And also 16 00:00:54,480 --> 00:00:57,240 Speaker 1: in today's episode, we're going to cover how to build 17 00:00:57,560 --> 00:01:01,600 Speaker 1: truly high performing teams in a highrid world, why critical 18 00:01:01,640 --> 00:01:04,559 Speaker 1: thinking is more important than ever in the age of AI, 19 00:01:05,040 --> 00:01:08,440 Speaker 1: and my best pieces of advice for leaders stepping into 20 00:01:08,480 --> 00:01:12,319 Speaker 1: management roles later in their career. By the end of 21 00:01:12,319 --> 00:01:15,760 Speaker 1: this episode, you will walk away with practical, science backed 22 00:01:15,920 --> 00:01:19,320 Speaker 1: tools that you can use immediately, whether you're job hunting, 23 00:01:19,520 --> 00:01:22,680 Speaker 1: leading a team, or simply trying to thrive in this 24 00:01:22,880 --> 00:01:25,199 Speaker 1: very fast changing world of work. 25 00:01:30,000 --> 00:01:33,759 Speaker 2: Welcome to How I Work, a show about habits, rituals, 26 00:01:33,760 --> 00:01:37,720 Speaker 2: and strategies for optimizing your day. I'm your host, Doctor 27 00:01:37,720 --> 00:01:38,440 Speaker 2: Amantha Imber. 28 00:01:39,200 --> 00:01:44,960 Speaker 1: Okay. First question for part two comes from Tony. Tony's 29 00:01:44,959 --> 00:01:50,480 Speaker 1: a legend because he actually recorded a voice memo for me, 30 00:01:51,600 --> 00:01:54,200 Speaker 1: and I will put a link in the show notes 31 00:01:54,240 --> 00:01:58,840 Speaker 1: if you too are an awesome listener and want to 32 00:01:58,880 --> 00:02:02,200 Speaker 1: record a voice note for me for the next Ask 33 00:02:02,320 --> 00:02:06,040 Speaker 1: Me Anything episode that I release. I typically do these 34 00:02:06,080 --> 00:02:09,960 Speaker 1: about once every three months, sometimes more often. I get 35 00:02:09,960 --> 00:02:12,079 Speaker 1: a lot of good listener feedback for this, So anyway, 36 00:02:12,320 --> 00:02:14,600 Speaker 1: Tony or a legend, Let's listen to the message that 37 00:02:14,639 --> 00:02:15,760 Speaker 1: Tony left. 38 00:02:16,600 --> 00:02:19,760 Speaker 3: Hi, Amanda, this is tony super potential topic for your 39 00:02:19,800 --> 00:02:24,359 Speaker 3: How I Work podcast, and it's around It's around ways 40 00:02:24,360 --> 00:02:28,880 Speaker 3: of differentiating yourself in the job market in this environment. 41 00:02:29,520 --> 00:02:34,720 Speaker 3: And I've been looking for work myself, and what I'm 42 00:02:34,720 --> 00:02:39,640 Speaker 3: finding is that through AI, the level of CBS and 43 00:02:39,680 --> 00:02:42,960 Speaker 3: resumes is at an incredibly high level now and people 44 00:02:43,000 --> 00:02:49,519 Speaker 3: have become got some great tools to think look fantastic 45 00:02:49,560 --> 00:02:53,839 Speaker 3: on paper, customize tailor the CV very easily to job 46 00:02:53,880 --> 00:02:58,359 Speaker 3: descriptions and two roles. And from a recruiters perspective, from 47 00:02:58,400 --> 00:03:01,040 Speaker 3: what I'm also hearing is it could be getting thirty 48 00:03:01,160 --> 00:03:05,880 Speaker 3: forty fifty very high caliber applications. We're in the past 49 00:03:05,919 --> 00:03:09,040 Speaker 3: it was a lot easier to sit through to get 50 00:03:09,240 --> 00:03:17,440 Speaker 3: a shorter list to start screening and challenging environment. And 51 00:03:17,800 --> 00:03:19,639 Speaker 3: as I said, the question is really how do you 52 00:03:20,040 --> 00:03:22,520 Speaker 3: how can you differentiate yourself or what are some tools 53 00:03:22,560 --> 00:03:24,760 Speaker 3: you can do to do that with the goal of 54 00:03:24,880 --> 00:03:29,360 Speaker 3: really getting in front of a person face to face 55 00:03:29,480 --> 00:03:33,839 Speaker 3: or virtually but for a meeting, which is what you're 56 00:03:33,840 --> 00:03:40,440 Speaker 3: really after. So yeah, challenging time. And thank you. And 57 00:03:41,440 --> 00:03:44,080 Speaker 3: I'm just on a personal note, I want to I 58 00:03:44,120 --> 00:03:46,600 Speaker 3: really appreciate it. Thank you so much. I'm doing the 59 00:03:46,640 --> 00:03:49,920 Speaker 3: GENAI course. I reached out to you not working and 60 00:03:49,960 --> 00:03:52,000 Speaker 3: you were really helpful and how I could get on that. 61 00:03:52,240 --> 00:03:55,800 Speaker 3: Thank you. It's been giving me. It's a great course, 62 00:03:55,880 --> 00:03:58,360 Speaker 3: learning a lot, giving me a really good purpose as 63 00:03:58,400 --> 00:04:03,160 Speaker 3: well as focus during this time. So I really appreciate 64 00:04:03,200 --> 00:04:04,360 Speaker 3: that too. Thank you. 65 00:04:05,040 --> 00:04:08,760 Speaker 1: Oh Tony, that is such a great question. That is 66 00:04:08,800 --> 00:04:12,600 Speaker 1: such a great question. It's really hard to differentiate yourself 67 00:04:12,600 --> 00:04:16,240 Speaker 1: in the job market. And I also know from you know, 68 00:04:16,400 --> 00:04:19,200 Speaker 1: having done a lot of hiring over the years, it's 69 00:04:19,240 --> 00:04:23,680 Speaker 1: also getting trickier to really, you know, make decisions about 70 00:04:23,720 --> 00:04:28,960 Speaker 1: who to shortlist for a role because almost everything's AI generated. 71 00:04:29,000 --> 00:04:32,480 Speaker 1: Although having said that, I do find because i'm you know, 72 00:04:32,560 --> 00:04:36,600 Speaker 1: I'm very much in the AI space, I teach GENAI skills. 73 00:04:37,000 --> 00:04:41,000 Speaker 1: It is so obvious to me when someone has just 74 00:04:41,080 --> 00:04:45,320 Speaker 1: created their cover letter and their resume using AI with 75 00:04:45,440 --> 00:04:48,240 Speaker 1: no human critical thought that's gone into it, And to me, 76 00:04:48,360 --> 00:04:51,159 Speaker 1: that's a massive turnoff. But I don't think that is 77 00:04:51,160 --> 00:04:54,600 Speaker 1: the same for all people in recruitment and hiring, but 78 00:04:54,640 --> 00:04:57,839 Speaker 1: who knows. So my number one piece of advice in 79 00:04:57,880 --> 00:05:00,680 Speaker 1: terms of how to differentiate yourself in the job market 80 00:05:00,839 --> 00:05:06,320 Speaker 1: is through video like in this world, where anyone can 81 00:05:06,360 --> 00:05:11,480 Speaker 1: produce half decent content. Although please refer to my episode 82 00:05:11,520 --> 00:05:14,560 Speaker 1: on AI slop. I will put a link to that 83 00:05:14,680 --> 00:05:16,880 Speaker 1: in the show notes, because I mean there's a lot 84 00:05:16,920 --> 00:05:18,880 Speaker 1: of AI slop around and I think the key here 85 00:05:19,200 --> 00:05:23,320 Speaker 1: is that volume of content does not equal quality anymore 86 00:05:23,920 --> 00:05:26,760 Speaker 1: or high performance rather, and we you know, just need 87 00:05:26,760 --> 00:05:30,120 Speaker 1: to change our thinking on that but video. I mean, yeah, 88 00:05:30,160 --> 00:05:31,960 Speaker 1: sure you can get the AI to do video, but 89 00:05:32,080 --> 00:05:34,880 Speaker 1: it's still it's not at a stage where, you know, 90 00:05:35,040 --> 00:05:38,159 Speaker 1: certainly I would recommend using it for recruitment purposes or 91 00:05:38,160 --> 00:05:42,480 Speaker 1: like you know, job market purposes. So get on Loom 92 00:05:42,800 --> 00:05:46,000 Speaker 1: or use Teller, they are my two favorite video recording tools. 93 00:05:46,120 --> 00:05:48,479 Speaker 1: Or just open up your iPhone and record something on 94 00:05:48,480 --> 00:05:53,120 Speaker 1: your you know, on your mobile phone and communicate. Communicate 95 00:05:53,400 --> 00:05:57,600 Speaker 1: why why you have applied for this job. Why does 96 00:05:57,640 --> 00:06:01,280 Speaker 1: it match with what you're about and the impact that 97 00:06:01,400 --> 00:06:04,240 Speaker 1: you want to have. Why are you perfect for the job. 98 00:06:05,320 --> 00:06:08,279 Speaker 1: The applicants that I receive that have given me a 99 00:06:08,360 --> 00:06:14,559 Speaker 1: video stand out so much more so I would highly 100 00:06:14,600 --> 00:06:17,640 Speaker 1: recommend that. And just a note if you are a leader, 101 00:06:17,680 --> 00:06:21,359 Speaker 1: a manager, or a recruiter that is hiring, one of 102 00:06:21,400 --> 00:06:24,120 Speaker 1: the things that I have found really useful in hiring 103 00:06:24,200 --> 00:06:29,080 Speaker 1: people is, you know, we've used the idea of doing 104 00:06:29,160 --> 00:06:32,160 Speaker 1: job auditions for a while. Certainly, if someone is applying 105 00:06:32,200 --> 00:06:35,320 Speaker 1: for a job as a facilitator or inventiologist as we 106 00:06:35,360 --> 00:06:39,839 Speaker 1: call them at Inventium, we have a job audition where 107 00:06:39,839 --> 00:06:42,320 Speaker 1: they will actually come and run a virtual workshop for us. 108 00:06:42,560 --> 00:06:46,120 Speaker 1: But for people that are more behind the scenes, let's 109 00:06:46,120 --> 00:06:48,839 Speaker 1: say in a support or an OPS or an admin roll. 110 00:06:49,279 --> 00:06:53,160 Speaker 1: Something that I have recently started doing is giving people 111 00:06:53,240 --> 00:06:57,200 Speaker 1: a job audition task, but asking them to as they're 112 00:06:57,240 --> 00:07:02,000 Speaker 1: doing the task, record a loom video of giving me 113 00:07:02,080 --> 00:07:05,799 Speaker 1: their thought process of how they're approaching the task, because 114 00:07:05,880 --> 00:07:09,240 Speaker 1: I want to know how they think as well as 115 00:07:09,279 --> 00:07:11,040 Speaker 1: what they can do, but I really want to know 116 00:07:11,080 --> 00:07:14,760 Speaker 1: how they think. So that is a little tip out 117 00:07:14,880 --> 00:07:19,840 Speaker 1: there for people that are hiring. Okay, next question is 118 00:07:19,920 --> 00:07:24,400 Speaker 1: from Juliet. My question for you is to learn about 119 00:07:24,440 --> 00:07:28,280 Speaker 1: your techniques for developing high performing teams with the shift 120 00:07:28,280 --> 00:07:33,720 Speaker 1: to hybrid work, different communication mechanisms, workflow, new generations entering 121 00:07:33,760 --> 00:07:36,640 Speaker 1: the workforce. I don't think the old pillars work so 122 00:07:36,760 --> 00:07:39,680 Speaker 1: well now, or perhaps they do, but we need to 123 00:07:39,760 --> 00:07:43,360 Speaker 1: work on them differently. Would love to hear your thoughts. Oh, 124 00:07:43,440 --> 00:07:48,400 Speaker 1: I have so many thoughts on this question, Juliet. Okay, 125 00:07:48,520 --> 00:07:52,640 Speaker 1: So high performing teams well, Look, according to the research, 126 00:07:53,120 --> 00:07:56,880 Speaker 1: psychological safety is critical. This is where people feel comfortable 127 00:07:57,360 --> 00:08:01,680 Speaker 1: speaking up, voicing their thoughts. It might differ from other peoples. 128 00:08:01,720 --> 00:08:07,280 Speaker 1: They feel comfortable taking risks, they feel comfortable failing. Like 129 00:08:07,360 --> 00:08:09,200 Speaker 1: this is just critical. I feel like this has been 130 00:08:09,320 --> 00:08:11,960 Speaker 1: talked about a lot over the last couple of years, 131 00:08:12,240 --> 00:08:14,840 Speaker 1: and a lot of good outcomes flow from this. You 132 00:08:14,920 --> 00:08:18,040 Speaker 1: have better communication happening between team members, you have better 133 00:08:18,080 --> 00:08:21,640 Speaker 1: collaboration happening, and you also have better growth happening because 134 00:08:21,640 --> 00:08:25,000 Speaker 1: people are giving each other honest feedback rather than withholding that. 135 00:08:25,480 --> 00:08:29,520 Speaker 1: So certainly, like if you're looking for help with psychological safety, 136 00:08:30,040 --> 00:08:33,120 Speaker 1: my team at Inventium does a lot of this. Please 137 00:08:33,160 --> 00:08:36,120 Speaker 1: reach out for a chat. So that would that is 138 00:08:36,160 --> 00:08:39,840 Speaker 1: absolutely huge. Now the other thing, a few other things. 139 00:08:39,840 --> 00:08:43,720 Speaker 1: When it comes to high performing teams, AI fluency is key. 140 00:08:44,760 --> 00:08:49,959 Speaker 1: I just blanket would not hire someone that wasn't fluent 141 00:08:50,240 --> 00:08:53,400 Speaker 1: in AI. Although having said that, because we train people 142 00:08:53,400 --> 00:08:56,679 Speaker 1: in AI, you know there might be exceptions where they 143 00:08:56,720 --> 00:08:58,439 Speaker 1: are amazing at a whole bunch of other things, or 144 00:08:58,480 --> 00:09:02,160 Speaker 1: maybe I've worked with them before and I know that 145 00:09:02,280 --> 00:09:04,320 Speaker 1: through our training I can get them up to speed 146 00:09:04,360 --> 00:09:08,360 Speaker 1: pretty quickly. But for the average high performing team, you 147 00:09:08,440 --> 00:09:11,800 Speaker 1: need to develop AI fluency. Again, shout out to Inventium's 148 00:09:11,880 --> 00:09:15,920 Speaker 1: AI programs. We've had thousands of people go through them. 149 00:09:15,920 --> 00:09:17,560 Speaker 1: Please reach out if you want to help with that. 150 00:09:17,720 --> 00:09:21,040 Speaker 1: But if you have a whole team that is really 151 00:09:21,160 --> 00:09:25,920 Speaker 1: comfortable using AI, you are going to get better results. Okay, next, 152 00:09:26,440 --> 00:09:30,640 Speaker 1: energy management. I actually think that how people manage their 153 00:09:30,760 --> 00:09:34,000 Speaker 1: energy is more important than how they manage their time. 154 00:09:34,280 --> 00:09:37,080 Speaker 1: And look, I'm deep in energy management because that is 155 00:09:37,120 --> 00:09:40,040 Speaker 1: the topic of my current book, my fifth book that 156 00:09:40,080 --> 00:09:43,199 Speaker 1: I'm writing that will be out mid next year. And 157 00:09:43,559 --> 00:09:46,360 Speaker 1: you need to help people. It's not about wellbeing, it's 158 00:09:46,400 --> 00:09:48,520 Speaker 1: about how do you manage your energy? How do you 159 00:09:48,559 --> 00:09:52,200 Speaker 1: manage your physical energy, your mental energy, and your emotional energy. 160 00:09:53,080 --> 00:09:55,640 Speaker 1: You know, again, this is stuff that I've been thinking 161 00:09:55,679 --> 00:09:57,880 Speaker 1: about a lot. We're about to release some programs on 162 00:09:57,880 --> 00:10:00,840 Speaker 1: this at Inventium. Drop me a note that's of interest. 163 00:10:00,880 --> 00:10:04,040 Speaker 1: But you need to think about this because high performing 164 00:10:04,120 --> 00:10:07,480 Speaker 1: teams are often the first ones to burn out because 165 00:10:07,520 --> 00:10:13,079 Speaker 1: they don't have boundaries, and that is a very big problem. 166 00:10:13,559 --> 00:10:15,800 Speaker 1: Final thing that I will note here is that there's 167 00:10:15,800 --> 00:10:18,040 Speaker 1: a whole lot that you can do with the individual, 168 00:10:18,040 --> 00:10:20,160 Speaker 1: but you also need to look at the system. Like 169 00:10:20,240 --> 00:10:22,719 Speaker 1: if you've got people burning out, yes, we can help 170 00:10:22,760 --> 00:10:25,400 Speaker 1: them manage their energy, but also are they burning out 171 00:10:25,520 --> 00:10:30,840 Speaker 1: because there's like workload is not evenly distributed. You know, 172 00:10:30,920 --> 00:10:32,760 Speaker 1: that is an example where the system is just not 173 00:10:32,880 --> 00:10:37,760 Speaker 1: working or maybe there's you know, like a toxic culture 174 00:10:37,920 --> 00:10:41,080 Speaker 1: or a toxic person in your team that needs to 175 00:10:41,120 --> 00:10:45,559 Speaker 1: be performance managed. So please look at the system as 176 00:10:45,600 --> 00:10:52,600 Speaker 1: well as the individual. Okay, so we've already talked about 177 00:10:52,640 --> 00:10:54,480 Speaker 1: how to cut through the noise in the job market. 178 00:10:54,920 --> 00:10:58,080 Speaker 1: Coming up, I am going to share what critical thinking 179 00:10:58,280 --> 00:11:01,760 Speaker 1: actually looks like in the a of AI and how 180 00:11:01,760 --> 00:11:12,440 Speaker 1: to build your critical thinking muscle. Next question is from Kate. 181 00:11:13,440 --> 00:11:18,760 Speaker 1: So Kate asks, I'm a bit wary of the rhetoric 182 00:11:18,800 --> 00:11:21,560 Speaker 1: if we need critical thinking and people skills in the 183 00:11:21,600 --> 00:11:24,240 Speaker 1: world of work with AI. Every man and his dog 184 00:11:24,320 --> 00:11:26,400 Speaker 1: is coming out with that refrain, and it seems like 185 00:11:26,480 --> 00:11:30,880 Speaker 1: it's a revelation. But we're seeing a lack of specificity 186 00:11:30,960 --> 00:11:34,559 Speaker 1: or nuance in what critical thinking actually is in this context. 187 00:11:34,559 --> 00:11:37,000 Speaker 1: What does it look like? What are the teachable qualities 188 00:11:37,040 --> 00:11:39,480 Speaker 1: and how should they best be taught? What are the 189 00:11:39,520 --> 00:11:42,160 Speaker 1: applied skills? And how do we know when we're doing 190 00:11:42,240 --> 00:11:45,600 Speaker 1: good enough? Okay, here are a few thoughts I have. 191 00:11:45,720 --> 00:11:47,880 Speaker 1: I mean, it's a really big question, Kate and I 192 00:11:48,000 --> 00:11:52,400 Speaker 1: love this question, and here are a few of my 193 00:11:52,520 --> 00:11:57,080 Speaker 1: thoughts and observations. So, in the world of AI, like, 194 00:11:57,200 --> 00:12:01,640 Speaker 1: here's what really good critical thinking looks like it's where firstly, 195 00:12:02,040 --> 00:12:06,480 Speaker 1: you question everything that the AI spits out, treat every 196 00:12:06,600 --> 00:12:10,720 Speaker 1: output as a rough draft that needs fact checking. People 197 00:12:10,760 --> 00:12:12,920 Speaker 1: are not doing this. This is why we are living 198 00:12:13,000 --> 00:12:15,680 Speaker 1: in this world of AI slop and it makes me 199 00:12:16,320 --> 00:12:23,319 Speaker 1: so frustrated. I was meeting with someone for a potential collaboration. 200 00:12:24,520 --> 00:12:27,960 Speaker 1: This is a couple of months ago now, and I 201 00:12:28,120 --> 00:12:31,400 Speaker 1: was then sent three documents to look through about how 202 00:12:31,440 --> 00:12:34,800 Speaker 1: this collaboration could work. And I opened these three lengthy 203 00:12:35,200 --> 00:12:40,240 Speaker 1: word documents and they had not had a critical human 204 00:12:40,360 --> 00:12:43,440 Speaker 1: eye go over it. And then the ball was in 205 00:12:43,480 --> 00:12:46,480 Speaker 1: my court to actually go through these documents as a human, 206 00:12:46,520 --> 00:12:51,360 Speaker 1: spend hours and rework these thoughts when you know, really 207 00:12:51,559 --> 00:12:54,160 Speaker 1: the person that sent me these documents could have actually 208 00:12:54,280 --> 00:12:58,080 Speaker 1: just done the human critical thinking work first. So I 209 00:12:58,480 --> 00:13:00,640 Speaker 1: you know, I feel like when someone senyds AI slop, 210 00:13:00,679 --> 00:13:04,040 Speaker 1: it's a very selfish move. And you know, I think 211 00:13:04,080 --> 00:13:07,400 Speaker 1: more and more that will become a career limiting move 212 00:13:07,559 --> 00:13:12,760 Speaker 1: as well because of the frustration it causes. So when 213 00:13:12,880 --> 00:13:16,839 Speaker 1: the AI gives you something, challenge the output, like, think 214 00:13:16,840 --> 00:13:19,000 Speaker 1: about what are the biases that might be baked into 215 00:13:19,000 --> 00:13:23,040 Speaker 1: this response? What are the perspectives that are missing and 216 00:13:24,160 --> 00:13:28,520 Speaker 1: try to actively argue with the AI's suggestions to stress 217 00:13:28,600 --> 00:13:33,440 Speaker 1: test ideas. I've spoken on this podcast before about getting 218 00:13:33,480 --> 00:13:36,960 Speaker 1: the AI to play Devil's advocate. This is what you 219 00:13:37,080 --> 00:13:40,520 Speaker 1: need in the world where we're outsourcing way too much 220 00:13:40,559 --> 00:13:44,720 Speaker 1: thinking to AI. Then some are they just micro skills 221 00:13:44,800 --> 00:13:47,560 Speaker 1: that we can look to teach, so you know, really 222 00:13:47,600 --> 00:13:52,319 Speaker 1: prompt people to be skeptical, you know, learn to recognize 223 00:13:52,360 --> 00:13:55,920 Speaker 1: when your question is actually leading the AI to tell 224 00:13:55,960 --> 00:13:58,960 Speaker 1: you what you want to hear. Confirmation bias is a 225 00:13:59,040 --> 00:14:02,559 Speaker 1: dangerous thing where we're just looking for, you know, the 226 00:14:02,920 --> 00:14:05,880 Speaker 1: AI to confirm us and it will. It's prompted to 227 00:14:05,960 --> 00:14:09,400 Speaker 1: be a sicker fan. So you really need to approach 228 00:14:09,920 --> 00:14:15,720 Speaker 1: the output with some skepticism. And also context matters so much. 229 00:14:15,960 --> 00:14:18,640 Speaker 1: The more context that you can give to AI, the 230 00:14:18,679 --> 00:14:21,480 Speaker 1: better the output you're going to get. But also thinking 231 00:14:21,520 --> 00:14:24,040 Speaker 1: about the context that you haven't given it and using 232 00:14:24,080 --> 00:14:28,600 Speaker 1: that to think critically, and you know, just like when 233 00:14:29,320 --> 00:14:32,280 Speaker 1: like just as a little test for yourself, how do 234 00:14:32,280 --> 00:14:34,240 Speaker 1: to know are you doing this enough? Are you thinking 235 00:14:34,240 --> 00:14:38,400 Speaker 1: critically enough? Think about how often you catch yourself disagreeing 236 00:14:38,760 --> 00:14:42,840 Speaker 1: with the AI's output more often than nodding along, like 237 00:14:42,960 --> 00:14:46,000 Speaker 1: when you're using it consistently as a sparring partner as 238 00:14:46,040 --> 00:14:50,840 Speaker 1: opposed to the oracle of all knowledge. I do recommend 239 00:14:50,840 --> 00:14:54,000 Speaker 1: going and listening to the interview I had with Bobby Oohanson, 240 00:14:54,080 --> 00:14:57,760 Speaker 1: who's a Silicon Valley futurist an amazing thinker. He talks 241 00:14:57,800 --> 00:15:02,040 Speaker 1: about AI not as thattific'sh intelligence, but thinking about how 242 00:15:02,080 --> 00:15:05,440 Speaker 1: you can see it as augmented intelligence. So you know, 243 00:15:05,520 --> 00:15:07,800 Speaker 1: in this new world it is not you versus AI, 244 00:15:07,960 --> 00:15:09,960 Speaker 1: it is you plus AI that is going to get 245 00:15:10,000 --> 00:15:16,160 Speaker 1: the best outputs. The final question for today comes from Nerel, 246 00:15:16,640 --> 00:15:19,720 Speaker 1: and she says, I'm late in my career and after 247 00:15:19,760 --> 00:15:22,360 Speaker 1: a very long time and not the best experience, my 248 00:15:22,520 --> 00:15:26,080 Speaker 1: role has been uplifted where I will now have direct reports. 249 00:15:26,440 --> 00:15:29,920 Speaker 1: I'm quite anxious about this, but I also want to 250 00:15:29,960 --> 00:15:33,040 Speaker 1: do this. Well, do you have any tips, books or 251 00:15:33,160 --> 00:15:36,800 Speaker 1: podcasts that might be helpful? All right, let me give 252 00:15:36,840 --> 00:15:39,000 Speaker 1: you a few tips, Nerel. Again, I could do a 253 00:15:39,040 --> 00:15:41,560 Speaker 1: whole episode around this, but let me just stick to 254 00:15:41,560 --> 00:15:44,080 Speaker 1: a few things. Okay, Firstly, I think something that is 255 00:15:44,200 --> 00:15:46,320 Speaker 1: really helpful. We do this with a lot of our 256 00:15:46,320 --> 00:15:48,360 Speaker 1: clients that invent him and We also do this at 257 00:15:48,520 --> 00:15:51,880 Speaker 1: Inventium with the team is we have everyone create a 258 00:15:51,920 --> 00:15:55,520 Speaker 1: one page operating manual or OPOM as we call it. 259 00:15:55,880 --> 00:15:57,960 Speaker 1: So we actually have a template for this where we 260 00:15:58,000 --> 00:16:03,200 Speaker 1: get people to, you know, write down their strengths, their weaknesses, 261 00:16:04,000 --> 00:16:08,320 Speaker 1: or areas they're trying to develop the preferred way of communicating. 262 00:16:08,360 --> 00:16:10,320 Speaker 1: Are they someone that just prefers to pick up the 263 00:16:10,360 --> 00:16:14,200 Speaker 1: phone or text message or email? What are their pet 264 00:16:14,280 --> 00:16:17,240 Speaker 1: peeves or frustrations, and you know, how do they best 265 00:16:17,280 --> 00:16:19,440 Speaker 1: receive feedback. So there are a bunch of questions that 266 00:16:19,480 --> 00:16:21,520 Speaker 1: you can ask and what I encourage you to do 267 00:16:21,920 --> 00:16:24,480 Speaker 1: create one for yourself, but ask all your team members 268 00:16:24,480 --> 00:16:27,400 Speaker 1: to do this as well, and it will create so 269 00:16:27,520 --> 00:16:29,920 Speaker 1: much more understanding of how to get the best out 270 00:16:29,960 --> 00:16:34,920 Speaker 1: of everyone. My next tip is to schedule weekly one 271 00:16:34,960 --> 00:16:39,160 Speaker 1: on one meetings with all your direct reports. This is critical, 272 00:16:39,200 --> 00:16:43,440 Speaker 1: This is not an afterthought. This is really important interaction 273 00:16:43,560 --> 00:16:48,720 Speaker 1: and relationship building. I highly recommend the work of Steven Rogelberg. 274 00:16:48,840 --> 00:16:52,400 Speaker 1: Here I will put a link to an interview that 275 00:16:52,560 --> 00:16:55,000 Speaker 1: I had with him on how to get the most 276 00:16:55,000 --> 00:16:57,520 Speaker 1: out of one on ones. I also highly recommend his 277 00:16:57,640 --> 00:17:00,680 Speaker 1: book Glad We Met. It is the best book I've 278 00:17:00,720 --> 00:17:04,119 Speaker 1: read on how to do one on ones really really well. 279 00:17:04,920 --> 00:17:09,840 Speaker 1: Be deliberate about them. You dedicate at least thirty minutes 280 00:17:09,880 --> 00:17:14,760 Speaker 1: per week, potentially sixty minutes per week. This is absolutely 281 00:17:14,800 --> 00:17:18,520 Speaker 1: critical time now in your one on ones. Another piece 282 00:17:18,560 --> 00:17:22,479 Speaker 1: of advice I would give here is try to resist 283 00:17:22,520 --> 00:17:25,760 Speaker 1: the urge to give advice. Instead, try to be a coach. 284 00:17:27,080 --> 00:17:30,600 Speaker 1: Highly recommend the coaching Habit. There's a book by Michael 285 00:17:30,640 --> 00:17:33,720 Speaker 1: Bungay Stanier who's also been on this podcast several times, 286 00:17:34,560 --> 00:17:36,919 Speaker 1: and it is a really simple but effective book on 287 00:17:37,440 --> 00:17:40,680 Speaker 1: how to coach and the great questions to ask. Now, 288 00:17:40,800 --> 00:17:44,640 Speaker 1: this is probably where I struggle most. I love giving advice. 289 00:17:44,800 --> 00:17:48,600 Speaker 1: I love jumping in and solving problems, but that is 290 00:17:48,600 --> 00:17:52,000 Speaker 1: not your job as a leader. Your job is to 291 00:17:52,119 --> 00:17:57,800 Speaker 1: help improve your team's ability to solve problems. So I 292 00:17:57,880 --> 00:18:00,720 Speaker 1: will always I'll pause before I have it advice to give, 293 00:18:01,240 --> 00:18:04,000 Speaker 1: and I'll ask my team, like, what would you like 294 00:18:04,040 --> 00:18:08,440 Speaker 1: from me here? Would you like me to help? Question? 295 00:18:08,680 --> 00:18:11,359 Speaker 1: Like you ask you questions to help you find a solution. 296 00:18:11,520 --> 00:18:13,520 Speaker 1: Do you think you know what that solution is and 297 00:18:13,560 --> 00:18:16,560 Speaker 1: maybe you want feedback on that? Or do you want 298 00:18:16,640 --> 00:18:20,440 Speaker 1: my advice? And sometimes I want advice, so I will 299 00:18:20,480 --> 00:18:25,000 Speaker 1: give it, but I always try to catch myself before 300 00:18:25,000 --> 00:18:29,400 Speaker 1: I'm about to jump in and give advice. The final 301 00:18:29,440 --> 00:18:32,639 Speaker 1: thing that I'd recommend is having some sort of daily 302 00:18:32,720 --> 00:18:37,160 Speaker 1: reflection technique. We know from research that leaders that reflect 303 00:18:37,560 --> 00:18:40,800 Speaker 1: daily or that journal daily are much more effective in 304 00:18:40,840 --> 00:18:45,639 Speaker 1: their leadership. So here are some questions that might help. Firstly, 305 00:18:45,680 --> 00:18:49,960 Speaker 1: asking who did I help today? By knowing that you're 306 00:18:50,000 --> 00:18:52,879 Speaker 1: asking this question, it just keeps at top of mind 307 00:18:53,000 --> 00:18:55,439 Speaker 1: because if you have to ask answer the question who 308 00:18:55,480 --> 00:18:58,600 Speaker 1: did I help today, you will be geared towards being 309 00:18:58,800 --> 00:19:02,560 Speaker 1: more helpful a leader. Then think about what do I 310 00:19:02,600 --> 00:19:05,800 Speaker 1: need to achieve tomorrow? It helps you start tomorrow with 311 00:19:05,880 --> 00:19:08,919 Speaker 1: more focus. And then finally, who do I need to 312 00:19:08,960 --> 00:19:12,800 Speaker 1: spend time with? This will help you stay really intentional 313 00:19:12,960 --> 00:19:15,960 Speaker 1: about where you are spending your time because ultimately your 314 00:19:15,960 --> 00:19:19,919 Speaker 1: time as a leader is limited, so really think strategically 315 00:19:20,280 --> 00:19:24,320 Speaker 1: who do I need to spend time with tomorrow. So 316 00:19:24,760 --> 00:19:28,480 Speaker 1: that is it for it Today's Ask Me Anything. I 317 00:19:28,560 --> 00:19:32,800 Speaker 1: hope that there were some helpful, helpful tips in here, 318 00:19:32,920 --> 00:19:35,439 Speaker 1: And if you have questions for my next Ask Me Anything, 319 00:19:35,960 --> 00:19:38,960 Speaker 1: either drop me a note. I'm very easy to find 320 00:19:39,040 --> 00:19:42,840 Speaker 1: on LinkedIn about the Inba or there is a link 321 00:19:42,920 --> 00:19:46,280 Speaker 1: to giving me a voice memo and gosh, I love 322 00:19:46,280 --> 00:19:49,439 Speaker 1: hearing the voices of listeners, so please do that and 323 00:19:49,880 --> 00:19:53,919 Speaker 1: I will see you next week. So there you have it, 324 00:19:54,119 --> 00:19:57,480 Speaker 1: some of my favorite questions from you answered. If you 325 00:19:57,680 --> 00:20:00,679 Speaker 1: found this helpful, I'd recommend going back and listening to 326 00:20:00,720 --> 00:20:04,879 Speaker 1: my episode on AI slot. It is a perfect companion 327 00:20:05,080 --> 00:20:06,840 Speaker 1: to some of the things we talked about today, and 328 00:20:06,880 --> 00:20:08,879 Speaker 1: you can find a link to that in the show notes. 329 00:20:09,680 --> 00:20:12,600 Speaker 1: And if this episode gave you something to think about, 330 00:20:12,720 --> 00:20:14,480 Speaker 1: I'd love for you to share it with a friend 331 00:20:14,600 --> 00:20:17,600 Speaker 1: or colleague who might need it. And it helps more 332 00:20:17,600 --> 00:20:21,360 Speaker 1: people discover the show, and I'm so grateful when they do. Finally, 333 00:20:21,400 --> 00:20:23,119 Speaker 1: if you've got a burning question, you can send me 334 00:20:23,160 --> 00:20:25,639 Speaker 1: a voice note. There's a link in the show notes. 335 00:20:25,680 --> 00:20:28,800 Speaker 1: I would absolutely love to hear from you. See you 336 00:20:28,880 --> 00:20:32,600 Speaker 1: next time. If you like today's show, make sure you 337 00:20:32,720 --> 00:20:35,720 Speaker 1: hit follow on your podcast app to be alerted when 338 00:20:35,800 --> 00:20:39,320 Speaker 1: new episodes drop. How I Work was recorded. 339 00:20:38,920 --> 00:20:41,560 Speaker 2: On the traditional land of the Warrangery People, part of 340 00:20:41,600 --> 00:20:44,240 Speaker 2: the Cooler Nation. A big thank you to Martin Nimba 341 00:20:44,400 --> 00:20:45,560 Speaker 2: for doing the sound mix