1 00:00:00,640 --> 00:00:03,640 Speaker 1: Do you wake up on Monday morning excitant for the 2 00:00:03,640 --> 00:00:07,240 Speaker 1: week ahead, or do you have to drag yourself out 3 00:00:07,240 --> 00:00:10,000 Speaker 1: of bed dreading the fact that you have a whole 4 00:00:10,520 --> 00:00:14,920 Speaker 1: five days of work until the next weekend. With employee 5 00:00:14,960 --> 00:00:19,320 Speaker 1: engagement flatlining across the globe, most leaders know or who 6 00:00:19,360 --> 00:00:23,000 Speaker 1: are now starting to realize just how important an engaged 7 00:00:23,120 --> 00:00:29,080 Speaker 1: workforce is. Phil Chambers thinks a lot about employee engagement, 8 00:00:29,360 --> 00:00:32,600 Speaker 1: and not just because he co founded Pecon, an employee 9 00:00:32,640 --> 00:00:36,960 Speaker 1: engagement software company which has recently been acquired by Workday. 10 00:00:37,320 --> 00:00:41,400 Speaker 1: Phil wanted to empower leaders with real time, actionable data 11 00:00:41,520 --> 00:00:43,879 Speaker 1: on how their decisions were impacting their staff. 12 00:00:44,720 --> 00:00:46,600 Speaker 2: My company, Inventim. 13 00:00:46,120 --> 00:00:50,120 Speaker 1: Has used Pecon to track our own employee engagement for 14 00:00:50,200 --> 00:00:53,920 Speaker 1: several years, and when I got connected to Phil, I 15 00:00:54,120 --> 00:00:56,280 Speaker 1: jumped at the chance to have him on how I 16 00:00:56,400 --> 00:00:59,720 Speaker 1: work and pick his brains about how he thinks about 17 00:01:00,040 --> 00:01:05,040 Speaker 1: engagement at work. So outs Phil use his own technology 18 00:01:05,200 --> 00:01:08,680 Speaker 1: to lead and motivate his team? And how does he 19 00:01:08,959 --> 00:01:14,280 Speaker 1: deliberately reduce virtual meetings an employee engagement killer, I must 20 00:01:14,319 --> 00:01:18,840 Speaker 1: say at pecon? And how did Phil use his partner's 21 00:01:18,920 --> 00:01:28,440 Speaker 1: documentary filmmaking skills to boost employee engagement. My name is 22 00:01:28,520 --> 00:01:32,160 Speaker 1: doctor amanthe Imba. I'm an organizational psychologist and the founder 23 00:01:32,200 --> 00:01:36,040 Speaker 1: of behavioral science consultancy invent Him, and this is how 24 00:01:36,080 --> 00:01:38,800 Speaker 1: I work, a show about how to help you. 25 00:01:39,000 --> 00:01:40,080 Speaker 2: Do your best work. 26 00:01:41,000 --> 00:01:44,959 Speaker 1: So I'm always interested in why founders pick the ideas 27 00:01:45,000 --> 00:01:47,119 Speaker 1: that they do when it comes to starting a brand 28 00:01:47,200 --> 00:01:50,120 Speaker 1: new company that they will probably dedicate the next decade 29 00:01:50,200 --> 00:01:51,120 Speaker 1: of their life too. 30 00:01:51,960 --> 00:01:53,880 Speaker 2: And specifically I wanted. 31 00:01:53,600 --> 00:01:58,040 Speaker 1: To know how did Phil approach goal setting, particularly in 32 00:01:58,120 --> 00:01:59,800 Speaker 1: those early days at Pecon. 33 00:02:00,440 --> 00:02:03,120 Speaker 3: I think half of the trick to starting a new 34 00:02:03,160 --> 00:02:06,320 Speaker 3: business is to really, you know, pick an area that's 35 00:02:06,360 --> 00:02:09,280 Speaker 3: going to be big in five years, which is harder 36 00:02:09,320 --> 00:02:11,280 Speaker 3: than it sounds, right, But so the challenge that you 37 00:02:11,320 --> 00:02:12,920 Speaker 3: have when you start a new business is often that, 38 00:02:14,840 --> 00:02:17,320 Speaker 3: you know, we sort of approached it with great gusto, 39 00:02:17,520 --> 00:02:21,520 Speaker 3: and we actually we wrote some goals on the board 40 00:02:22,160 --> 00:02:24,880 Speaker 3: on the first day, so second to January twenty fifteen, 41 00:02:25,240 --> 00:02:27,240 Speaker 3: went out to the stationary shop, bought some pens and 42 00:02:27,280 --> 00:02:29,600 Speaker 3: some of that funny plastic paper that sticks on walls, 43 00:02:30,360 --> 00:02:32,440 Speaker 3: and then we kind of wrote down a product vision 44 00:02:32,560 --> 00:02:36,639 Speaker 3: for the next five years, which was surprisingly precedent, and 45 00:02:36,720 --> 00:02:37,959 Speaker 3: you know, and a lot of it turned out to 46 00:02:38,000 --> 00:02:40,880 Speaker 3: be true, but I think the difficulty with goal setting 47 00:02:40,919 --> 00:02:43,000 Speaker 3: then came a little bit later, and that was really 48 00:02:44,000 --> 00:02:47,079 Speaker 3: once we'd hired the first team. We were around sort 49 00:02:47,080 --> 00:02:50,480 Speaker 3: of eight to ten people, and it became I think 50 00:02:50,520 --> 00:02:53,280 Speaker 3: we've probably had more people than we had tasks at 51 00:02:53,280 --> 00:02:56,760 Speaker 3: the time, and it became quite hard to really focus 52 00:02:56,760 --> 00:02:58,560 Speaker 3: everyone on one thing that they could do. And I 53 00:02:58,560 --> 00:03:00,960 Speaker 3: think that, you know, we there was a bit of 54 00:03:00,960 --> 00:03:04,880 Speaker 3: frustration around around the team, around you know, why weren't 55 00:03:04,919 --> 00:03:07,519 Speaker 3: we being successful instantly. You know, there's a lot of 56 00:03:07,600 --> 00:03:09,760 Speaker 3: startup you know stories which just blow up in nine 57 00:03:09,760 --> 00:03:12,400 Speaker 3: months and then they're you know, they're got a billion 58 00:03:12,440 --> 00:03:14,560 Speaker 3: dollar evaluation. But it wasn't like that a peak on 59 00:03:14,600 --> 00:03:17,120 Speaker 3: at all. You know, we had a sort of methodical 60 00:03:17,200 --> 00:03:22,600 Speaker 3: way of prototyping, and none of us were domain experts 61 00:03:22,600 --> 00:03:24,000 Speaker 3: in what we were trying to do, which I think 62 00:03:24,040 --> 00:03:27,000 Speaker 3: gave us a sort of unique set of issues in 63 00:03:27,000 --> 00:03:29,080 Speaker 3: the fact that we didn't really have any customers, and 64 00:03:29,080 --> 00:03:30,320 Speaker 3: without any customers, you can't really. 65 00:03:30,240 --> 00:03:31,919 Speaker 4: Do any learning. And if you're not doing any learning, 66 00:03:31,960 --> 00:03:33,080 Speaker 4: then you don't really know what to build. 67 00:03:34,760 --> 00:03:37,680 Speaker 3: So we we sort of sat down and scratched our 68 00:03:37,680 --> 00:03:40,200 Speaker 3: heads about this, and so rather than it turned into 69 00:03:40,280 --> 00:03:42,880 Speaker 3: a lot of the fly situation, we said, you know, 70 00:03:43,040 --> 00:03:45,840 Speaker 3: my co founder Dan came to this idea of putting 71 00:03:46,280 --> 00:03:49,080 Speaker 3: a big blackboard in the office with the sort of 72 00:03:49,080 --> 00:03:51,360 Speaker 3: four stages of what we call peak happiness at the time. 73 00:03:51,400 --> 00:03:54,480 Speaker 3: And this was really, you know, ultimately what you would 74 00:03:54,520 --> 00:03:56,480 Speaker 3: know as sort of sales stages these days. 75 00:03:56,600 --> 00:03:56,760 Speaker 1: Right. 76 00:03:57,280 --> 00:03:59,960 Speaker 3: It was effectively a pipeline view of the world, except 77 00:04:00,120 --> 00:04:03,640 Speaker 3: that the ultimate goal wasn't to sell these initial companies anything. 78 00:04:03,840 --> 00:04:06,680 Speaker 3: In fact, we explicitly decided, no, we're not interested in 79 00:04:06,720 --> 00:04:10,840 Speaker 3: making money here. We just want to get twenty companies 80 00:04:10,840 --> 00:04:12,920 Speaker 3: that would be very disappointed if they couldn't use Peakon 81 00:04:12,960 --> 00:04:14,800 Speaker 3: by the end of the first year. And then we 82 00:04:14,880 --> 00:04:17,680 Speaker 3: just simply printed out the logos of these companies. So 83 00:04:18,360 --> 00:04:19,800 Speaker 3: and then we just said to everybody who worked to 84 00:04:19,800 --> 00:04:21,320 Speaker 3: peak On at the Simeon said, the only thing that 85 00:04:21,360 --> 00:04:25,200 Speaker 3: anybody needs to focus on is moving logos along this board. 86 00:04:25,279 --> 00:04:26,640 Speaker 4: So if you're kind of unsure of what to do 87 00:04:26,640 --> 00:04:27,160 Speaker 4: when you come. 88 00:04:27,040 --> 00:04:28,760 Speaker 3: In in the morning, have a look at the board and 89 00:04:28,800 --> 00:04:30,880 Speaker 3: either get some new logos for the board or move 90 00:04:30,920 --> 00:04:33,280 Speaker 3: the logos that we have along the board, which basically meant, 91 00:04:33,320 --> 00:04:36,359 Speaker 3: you know, working with those customers to get them to 92 00:04:36,400 --> 00:04:39,320 Speaker 3: a state where they deployed use Pekan were happy with it. 93 00:04:40,000 --> 00:04:42,559 Speaker 3: And that was incredibly powerful, right because every single morning 94 00:04:42,600 --> 00:04:44,640 Speaker 3: we came in and we all stood around this blackboard 95 00:04:44,640 --> 00:04:46,640 Speaker 3: and then we just talked around what was going on 96 00:04:46,720 --> 00:04:49,920 Speaker 3: with these logos, and suddenly, you know, we went from 97 00:04:49,920 --> 00:04:52,279 Speaker 3: sort of pointing things each other about why things weren't 98 00:04:52,320 --> 00:04:56,440 Speaker 3: working to getting this incredible momentum. And you know, some 99 00:04:56,560 --> 00:04:59,320 Speaker 3: of those customers, when I look back at photographs of 100 00:04:59,360 --> 00:05:04,000 Speaker 3: those board, were some you know, ultimately inflection points in 101 00:05:04,080 --> 00:05:06,640 Speaker 3: the growth of the business. And you know, one of 102 00:05:06,680 --> 00:05:09,560 Speaker 3: the logos on that board was Delivery Hero, which at 103 00:05:09,560 --> 00:05:11,960 Speaker 3: the time I think was a three hundred person startup 104 00:05:12,000 --> 00:05:15,080 Speaker 3: in Berlin. But you know, ultimately, as you may know, became, 105 00:05:15,480 --> 00:05:18,240 Speaker 3: you know, one of the world's most successful stories in 106 00:05:18,480 --> 00:05:21,400 Speaker 3: food delivery and had a five billion IPO and is 107 00:05:22,080 --> 00:05:24,880 Speaker 3: now a top top thirty tax company in Germany. So 108 00:05:25,880 --> 00:05:27,880 Speaker 3: little did we know at the time, but that the 109 00:05:27,920 --> 00:05:30,880 Speaker 3: work that we were doing there was was pivotal to 110 00:05:30,880 --> 00:05:31,760 Speaker 3: the future of the company. 111 00:05:32,120 --> 00:05:32,760 Speaker 2: That's so cool. 112 00:05:32,800 --> 00:05:36,560 Speaker 1: Now I know that creating an MVP or minimum viable 113 00:05:36,600 --> 00:05:40,560 Speaker 1: product was really important in the early days, and that Peacon, 114 00:05:40,640 --> 00:05:45,039 Speaker 1: which is a tech product, started as a piece of paper. 115 00:05:45,400 --> 00:05:48,560 Speaker 2: Can you talk to me about that? Yeah, I think 116 00:05:48,560 --> 00:05:48,720 Speaker 2: it was. 117 00:05:48,839 --> 00:05:51,440 Speaker 3: It was really a function of the fact we didn't 118 00:05:51,440 --> 00:05:55,320 Speaker 3: have a technical team initially, so we were four co founders, 119 00:05:55,320 --> 00:05:59,279 Speaker 3: but only two of us had managed to extract ourselves 120 00:05:59,279 --> 00:06:03,320 Speaker 3: from our current job at the time, and you know, 121 00:06:03,400 --> 00:06:05,360 Speaker 3: with the best word in the world. Although we had 122 00:06:05,400 --> 00:06:09,240 Speaker 3: computer sides, backgrounds weren't that coding skills were a bit rusty. 123 00:06:10,200 --> 00:06:13,400 Speaker 3: So we sort of set out to read a lot 124 00:06:13,440 --> 00:06:15,320 Speaker 3: of the research you know in history. Peak on is 125 00:06:15,320 --> 00:06:19,000 Speaker 3: based on organizational psychology, as you know, but it's implemented 126 00:06:19,000 --> 00:06:20,880 Speaker 3: in a way that hadn't really been. 127 00:06:21,040 --> 00:06:24,120 Speaker 4: Done in companies before. So we used some off the 128 00:06:24,160 --> 00:06:24,760 Speaker 4: shelf tools. 129 00:06:24,800 --> 00:06:27,560 Speaker 3: We said, okay, how could we sort of build a 130 00:06:27,600 --> 00:06:29,720 Speaker 3: model of what we're trying to do here without actually 131 00:06:29,720 --> 00:06:33,880 Speaker 3: productizing it in software. So we collected some survey data 132 00:06:33,960 --> 00:06:36,840 Speaker 3: using type form, which you know, a freely available tool 133 00:06:38,040 --> 00:06:40,560 Speaker 3: equivalent to sort of survey Monkey, and then we use 134 00:06:40,600 --> 00:06:42,919 Speaker 3: this open source package called r which I'm sure a 135 00:06:42,920 --> 00:06:46,520 Speaker 3: lot of psychologists in the audience may be familiar with. 136 00:06:46,560 --> 00:06:51,320 Speaker 3: It's a statistical analysis package. So we produced various different 137 00:06:51,400 --> 00:06:55,080 Speaker 3: analyzes of the data we've collected, and then we packaged 138 00:06:55,080 --> 00:06:57,760 Speaker 3: them up into a PDF file, which ultimately was paper 139 00:06:57,839 --> 00:07:00,000 Speaker 3: right print out, and then we'd go to these companies 140 00:07:00,120 --> 00:07:02,640 Speaker 3: and we literally go with the printer out and say, 141 00:07:02,760 --> 00:07:04,880 Speaker 3: you know, is this useful? Do you find this few 142 00:07:04,880 --> 00:07:07,280 Speaker 3: of the data interesting? You know what's good, what's bad? 143 00:07:07,440 --> 00:07:09,440 Speaker 3: What would you like to see? And that led to 144 00:07:09,480 --> 00:07:13,640 Speaker 3: a sort of very rapid iteration of prototyping, whereby we 145 00:07:13,640 --> 00:07:17,040 Speaker 3: could go through effectively like seventy versions of the initial 146 00:07:17,840 --> 00:07:20,040 Speaker 3: peak on product, but without actually having to code any 147 00:07:20,040 --> 00:07:22,520 Speaker 3: of it. And then we when we settled on something 148 00:07:22,520 --> 00:07:24,640 Speaker 3: that was working and customers were like, oh, there's genuinely 149 00:07:24,680 --> 00:07:27,760 Speaker 3: quite good insights here. At some point we took the 150 00:07:27,880 --> 00:07:31,480 Speaker 3: sort of difficult decisions, right, it's now time to build 151 00:07:31,480 --> 00:07:33,960 Speaker 3: this into software, and that's kind of when the first 152 00:07:34,040 --> 00:07:36,200 Speaker 3: version of the dashboard came out. 153 00:07:36,480 --> 00:07:41,800 Speaker 1: Now, a benefit that you offer staff is unlimited paid leave. 154 00:07:42,200 --> 00:07:43,520 Speaker 1: That is something that you're still doing. 155 00:07:43,560 --> 00:07:47,200 Speaker 3: Correct, So we've been acquired by Workday, so I think 156 00:07:47,600 --> 00:07:51,000 Speaker 3: it's available in some markets now and not in others. 157 00:07:51,040 --> 00:07:54,760 Speaker 4: So there is a you know, various you know, international 158 00:07:54,800 --> 00:07:55,360 Speaker 4: rules around this. 159 00:07:55,640 --> 00:07:58,160 Speaker 1: Yeah, it certainly something that we tried it Inventium a 160 00:07:58,200 --> 00:07:58,760 Speaker 1: few years ago. 161 00:07:58,800 --> 00:08:00,160 Speaker 2: We ran it for about three. 162 00:08:00,040 --> 00:08:03,960 Speaker 1: And a half years old up and I think, and 163 00:08:04,080 --> 00:08:06,640 Speaker 1: you'll leave or you know, in terms of how much 164 00:08:06,680 --> 00:08:12,000 Speaker 1: leave people were taking in Australia, the mandated required and 165 00:08:12,080 --> 00:08:14,520 Speaker 1: your leave is four weeks, we averaged about five and 166 00:08:14,520 --> 00:08:18,120 Speaker 1: a half after we did unlimited leave. But then we 167 00:08:18,160 --> 00:08:20,360 Speaker 1: sort of we ran into a few issues about three 168 00:08:20,400 --> 00:08:23,280 Speaker 1: and a half years in where you know, we got 169 00:08:23,320 --> 00:08:25,840 Speaker 1: so much media coverage in Australia for the policy that 170 00:08:25,880 --> 00:08:29,040 Speaker 1: people started to listen to the messages around the policy 171 00:08:29,080 --> 00:08:31,720 Speaker 1: that the media was saying, rather than the original intent 172 00:08:31,920 --> 00:08:34,320 Speaker 1: was just take enough leave so that you feel balanced, 173 00:08:34,360 --> 00:08:35,920 Speaker 1: like you're leading a balanced life. 174 00:08:35,720 --> 00:08:37,600 Speaker 2: As opposed to just take lots of leave. 175 00:08:38,800 --> 00:08:41,040 Speaker 1: So we ended up replacing that with a four day week, 176 00:08:41,040 --> 00:08:43,079 Speaker 1: which we've been doing now for a year. 177 00:08:43,160 --> 00:08:46,120 Speaker 2: But I'm personally interested, how did. 178 00:08:45,960 --> 00:08:50,480 Speaker 1: You use unlimited leave, Like what's your approach to taking holidays? 179 00:08:52,120 --> 00:08:55,640 Speaker 3: So me personally, I mean it was it's an interesting 180 00:08:55,720 --> 00:08:59,439 Speaker 3: challenge actually, you know, particularly as the CEO of a company. 181 00:09:01,000 --> 00:09:07,160 Speaker 3: I initially, you know, used it judiciously and then it 182 00:09:07,559 --> 00:09:11,440 Speaker 3: became harder and harder to take enough holiday as the 183 00:09:11,480 --> 00:09:16,360 Speaker 3: company got bigger, and I think but ultimately, like, I 184 00:09:16,600 --> 00:09:19,480 Speaker 3: don't think anybody works effectively if they're burnt out or 185 00:09:19,520 --> 00:09:21,760 Speaker 3: haven't taken enough leave. So it's really really something I 186 00:09:22,679 --> 00:09:25,240 Speaker 3: try and do. And for me, it was more around, 187 00:09:25,280 --> 00:09:27,240 Speaker 3: you know, making sure you had a holiday at a 188 00:09:27,240 --> 00:09:30,079 Speaker 3: frequent enough interval to sort of recharge, even if it's 189 00:09:30,120 --> 00:09:32,880 Speaker 3: not such a long time. And I think there's sort 190 00:09:32,920 --> 00:09:36,720 Speaker 3: of the comfort of unlimitedly is you don't have that 191 00:09:37,160 --> 00:09:39,040 Speaker 3: thought in the back of your mind of like, oh, well, 192 00:09:39,080 --> 00:09:40,680 Speaker 3: if I do this, then I won't be able to 193 00:09:40,679 --> 00:09:44,040 Speaker 3: you know what, if I feel in three months. 194 00:09:43,840 --> 00:09:45,160 Speaker 4: Time, I won't have an option. 195 00:09:45,760 --> 00:09:48,040 Speaker 3: I don't think we want any employees to feel like that, right, 196 00:09:48,120 --> 00:09:52,200 Speaker 3: So that's completely counterproductive. You don't want people to be 197 00:09:52,559 --> 00:09:56,040 Speaker 3: thinking about leave like that. So for me, it's a 198 00:09:56,040 --> 00:09:59,360 Speaker 3: great policy. And yeah, I think you have to ignore 199 00:09:59,400 --> 00:10:03,800 Speaker 3: the sort of media hyperpoil around unlimited leave and do 200 00:10:03,920 --> 00:10:07,480 Speaker 3: your own kind of education internally around how. 201 00:10:07,360 --> 00:10:10,760 Speaker 4: You expect, why, why you're doing something right. 202 00:10:10,800 --> 00:10:13,800 Speaker 3: I think I think that's the important right employees, it's 203 00:10:13,840 --> 00:10:15,839 Speaker 3: it's kind of useless to build. You can build the 204 00:10:15,840 --> 00:10:18,040 Speaker 3: best benefits package in the world, but if you don't 205 00:10:18,080 --> 00:10:22,000 Speaker 3: sort of also do the education piece around why in 206 00:10:22,080 --> 00:10:25,560 Speaker 3: your company you've put this in not generally then then 207 00:10:25,600 --> 00:10:27,960 Speaker 3: I don't often things, I don't these think these things 208 00:10:28,080 --> 00:10:30,880 Speaker 3: land in the right way. So I think that's it's 209 00:10:30,880 --> 00:10:33,000 Speaker 3: something definitely we learn over time. You know that people 210 00:10:33,600 --> 00:10:36,040 Speaker 3: you know, didn't necessarily understand all of the benefits package, 211 00:10:36,040 --> 00:10:38,840 Speaker 3: and people don't necessarily understand stock options or you know, 212 00:10:38,880 --> 00:10:41,360 Speaker 3: all of these other these great things, So you have 213 00:10:41,400 --> 00:10:43,640 Speaker 3: to also do a lot of work in applying them 214 00:10:44,240 --> 00:10:46,280 Speaker 3: and educating them as to how they apply in the 215 00:10:46,360 --> 00:10:49,040 Speaker 3: in the different regional markets. Yes, how are you fanning 216 00:10:49,040 --> 00:10:50,880 Speaker 3: the four day work work week working out? 217 00:10:50,880 --> 00:10:53,800 Speaker 1: Then we have loved the four day week, so we 218 00:10:53,880 --> 00:10:56,800 Speaker 1: all take Fridays off and we've been running it for 219 00:10:56,840 --> 00:10:57,559 Speaker 1: a year now. 220 00:10:57,600 --> 00:10:59,280 Speaker 2: So we ran a six. 221 00:10:59,080 --> 00:11:03,800 Speaker 1: Month experiment early on, and certainly we used pecon actually 222 00:11:03,880 --> 00:11:07,880 Speaker 1: to track some of the metrics that we were hypothesizing around, 223 00:11:08,720 --> 00:11:12,000 Speaker 1: you know, such as engagement. So with engagement, for example, 224 00:11:12,000 --> 00:11:15,320 Speaker 1: we're already pretty high. We were in the top ten 225 00:11:15,400 --> 00:11:20,000 Speaker 1: percent or ninetieth percentile for our industry of management consulting. 226 00:11:20,320 --> 00:11:21,800 Speaker 1: By the end of the six months, we were in 227 00:11:21,840 --> 00:11:25,240 Speaker 1: the top one percent. So we were wrapped about that. Yes, 228 00:11:25,320 --> 00:11:29,360 Speaker 1: productivity increased by twenty six percent over that period, which 229 00:11:30,320 --> 00:11:33,000 Speaker 1: which we were actually really impressed with because a lot 230 00:11:33,040 --> 00:11:35,480 Speaker 1: of the work that we do with inventing is training 231 00:11:35,520 --> 00:11:37,360 Speaker 1: people and how to work more productively, so we were 232 00:11:37,400 --> 00:11:41,560 Speaker 1: already applying a lot of those strategies. And then we 233 00:11:41,760 --> 00:11:46,760 Speaker 1: also tracked things like collaboration because we were worried that, 234 00:11:46,960 --> 00:11:51,280 Speaker 1: you know, if people are working less like four normal days, 235 00:11:51,320 --> 00:11:55,000 Speaker 1: would they be less open to collaboration because there may 236 00:11:55,040 --> 00:11:58,240 Speaker 1: be more self focus trying to get all their work done. 237 00:11:58,720 --> 00:11:59,520 Speaker 2: But that wasn't the case. 238 00:12:00,000 --> 00:12:05,520 Speaker 1: Operation was maintained and stress levels, given that for the 239 00:12:05,600 --> 00:12:07,360 Speaker 1: last half of last year a lot of the team 240 00:12:07,400 --> 00:12:10,720 Speaker 1: were locked down in Melbourne, stress levels reduced by about 241 00:12:10,720 --> 00:12:14,480 Speaker 1: eighteen percent, which was also pretty good in amongst you know, 242 00:12:14,640 --> 00:12:17,520 Speaker 1: the landscape of what was happening outside of Inventium. 243 00:12:17,960 --> 00:12:21,240 Speaker 3: That sounds resoundingly successful and you know great that you 244 00:12:21,280 --> 00:12:22,319 Speaker 3: could measure all that with. 245 00:12:22,280 --> 00:12:24,120 Speaker 2: Pecon, I know exactly. 246 00:12:24,240 --> 00:12:28,400 Speaker 1: So let's talk a bit about pecon and for listeners 247 00:12:28,559 --> 00:12:30,719 Speaker 1: are not familiar with pekon, which I assume is quite 248 00:12:30,720 --> 00:12:34,080 Speaker 1: a lot of people, can you just describe what pecon is? 249 00:12:34,120 --> 00:12:35,360 Speaker 2: Can you paint a bit of a picture. 250 00:12:36,400 --> 00:12:36,559 Speaker 1: Yeah. 251 00:12:36,600 --> 00:12:40,600 Speaker 3: So Peakon is effectively a continuous listening platform allows you 252 00:12:40,679 --> 00:12:43,400 Speaker 3: to really get the pulse of what's happening with your employees. 253 00:12:43,960 --> 00:12:48,720 Speaker 3: And then we use machine learning, so we apply that 254 00:12:48,880 --> 00:12:51,680 Speaker 3: to generate insights and we can deliver those insights to 255 00:12:51,720 --> 00:12:54,080 Speaker 3: anyone who manages people in your organization, you know, on 256 00:12:54,120 --> 00:12:57,080 Speaker 3: a continuous basis and really really boil it down to 257 00:12:57,200 --> 00:12:58,680 Speaker 3: what are the top three things that I should be 258 00:12:58,679 --> 00:13:01,320 Speaker 3: working on to approve engagement on my team. But you 259 00:13:01,320 --> 00:13:03,520 Speaker 3: can also we'll show you like kind of what contributes 260 00:13:03,559 --> 00:13:05,000 Speaker 3: to that as well, so we'll look at all of 261 00:13:05,040 --> 00:13:08,280 Speaker 3: the different factors around what motivates people to come to work, 262 00:13:08,320 --> 00:13:10,560 Speaker 3: and then you can use this also to make predictive insights. 263 00:13:10,559 --> 00:13:12,880 Speaker 3: So on a macro level, you can look at what's 264 00:13:12,880 --> 00:13:15,319 Speaker 3: the attrition risk in my organization and if it's high 265 00:13:15,360 --> 00:13:19,600 Speaker 3: in specific teams or segments, then you can say, well, 266 00:13:19,640 --> 00:13:20,760 Speaker 3: what can I do to reduce this. 267 00:13:21,679 --> 00:13:22,360 Speaker 4: We also look at. 268 00:13:22,280 --> 00:13:24,559 Speaker 3: Diversity and inclusion so how you can build a more 269 00:13:24,559 --> 00:13:28,320 Speaker 3: diverse and inclusive workforce. And we've also got a continuous 270 00:13:28,360 --> 00:13:32,640 Speaker 3: performance management product called grow, which is really around getting 271 00:13:32,679 --> 00:13:35,080 Speaker 3: you know, continue to employee development more than anything really 272 00:13:35,200 --> 00:13:38,880 Speaker 3: about getting a sort of picture of different areas where 273 00:13:38,880 --> 00:13:40,720 Speaker 3: you want to develop and kind of what the perception 274 00:13:40,800 --> 00:13:44,080 Speaker 3: of your peers, managers, subordinates is of you in those areas, 275 00:13:44,400 --> 00:13:48,320 Speaker 3: and that's not anonymous. So yeah, three different products and 276 00:13:49,160 --> 00:13:53,520 Speaker 3: in use fire about twelve hundred companies worldwide. 277 00:13:53,360 --> 00:13:54,600 Speaker 2: Including Inventium. 278 00:13:54,679 --> 00:13:58,959 Speaker 1: Sorry, yes, so we've been using peicon for I'd say 279 00:13:58,960 --> 00:14:01,480 Speaker 1: at least a couple of you is and we just 280 00:14:01,559 --> 00:14:03,920 Speaker 1: love it. So you know, every month we're in there 281 00:14:03,920 --> 00:14:09,600 Speaker 1: looking at the dashboard and certainly alloys OKRs in terms 282 00:14:09,640 --> 00:14:12,559 Speaker 1: of our goal setting process. And quite a few people 283 00:14:12,600 --> 00:14:16,559 Speaker 1: in the business have okayrs linked to data that comes 284 00:14:16,559 --> 00:14:17,439 Speaker 1: out of pecon. 285 00:14:17,600 --> 00:14:20,280 Speaker 2: So it's high stakes. 286 00:14:21,040 --> 00:14:24,360 Speaker 1: Now I want to know how how does pecon use 287 00:14:24,440 --> 00:14:28,320 Speaker 1: pecon Like, what is your process for using all this 288 00:14:28,520 --> 00:14:30,080 Speaker 1: data and getting the most out of it. 289 00:14:30,880 --> 00:14:34,920 Speaker 3: We've used peak on data, I would say, to inform 290 00:14:35,000 --> 00:14:38,480 Speaker 3: most major company decisions ever since we formed the company. 291 00:14:38,480 --> 00:14:40,960 Speaker 3: And I think it's really a this is a different 292 00:14:41,520 --> 00:14:43,800 Speaker 3: and almost almost like a management superpower. 293 00:14:43,800 --> 00:14:46,160 Speaker 4: I would say, you know, you know, if you get 294 00:14:46,480 --> 00:14:47,600 Speaker 4: we run weekly. 295 00:14:47,960 --> 00:14:50,760 Speaker 3: I don't know about you and Mantha, but it really 296 00:14:50,840 --> 00:14:53,840 Speaker 3: provides a way that you can get real time feedback 297 00:14:53,880 --> 00:14:56,119 Speaker 3: on the way that you manage the company and particularly 298 00:14:56,120 --> 00:14:59,440 Speaker 3: around you know, major events or comms or you know, 299 00:14:59,440 --> 00:15:03,040 Speaker 3: when you launch initiatives or going through sort of big 300 00:15:03,080 --> 00:15:06,080 Speaker 3: transformations and you can get pulse of like how is 301 00:15:06,120 --> 00:15:08,800 Speaker 3: this actually landing with people? So there have been you know, 302 00:15:09,480 --> 00:15:11,240 Speaker 3: it's been a learning journey for me as a first 303 00:15:11,280 --> 00:15:14,080 Speaker 3: time CEO. You know where I've I've stood up at 304 00:15:14,080 --> 00:15:17,840 Speaker 3: a company all hands meeting and said, you know, expressed 305 00:15:17,840 --> 00:15:19,440 Speaker 3: a point in a certain way, and then I've got, 306 00:15:19,480 --> 00:15:22,960 Speaker 3: you know, some pretty pointed feedback and peak on there 307 00:15:22,960 --> 00:15:26,160 Speaker 3: a couple of days later, and I think it really 308 00:15:26,200 --> 00:15:28,760 Speaker 3: opens up your eyes to well ultimately would have been 309 00:15:28,760 --> 00:15:31,520 Speaker 3: a blind spot for you, and enables you to do 310 00:15:31,560 --> 00:15:34,200 Speaker 3: things differently, to acknowledge, you know, where things haven't gone 311 00:15:34,200 --> 00:15:37,280 Speaker 3: so well and and course correct as you. 312 00:15:37,280 --> 00:15:40,680 Speaker 4: Go, which you know you don't you don't normally get 313 00:15:40,720 --> 00:15:40,920 Speaker 4: to do. 314 00:15:41,080 --> 00:15:42,640 Speaker 3: And I you know, I give the example of the 315 00:15:43,320 --> 00:15:46,960 Speaker 3: salary model before, but there have been countless incidences I 316 00:15:46,960 --> 00:15:50,720 Speaker 3: think where you know, we've really been able to pinpoint problems, 317 00:15:51,040 --> 00:15:54,560 Speaker 3: and particularly as your company gets to multi office or 318 00:15:54,640 --> 00:15:57,480 Speaker 3: multi country, you know, how do you really know what's 319 00:15:57,520 --> 00:16:01,080 Speaker 3: going on in any of those offices. With peakon, you 320 00:16:01,120 --> 00:16:03,080 Speaker 3: do know what's going on and you have a real 321 00:16:03,120 --> 00:16:03,720 Speaker 3: time view of it. 322 00:16:07,560 --> 00:16:11,080 Speaker 1: We will be back shortly with Phil hearing about how 323 00:16:11,120 --> 00:16:14,960 Speaker 1: he used his partner's documentary filmmaking skills to boost employee 324 00:16:15,000 --> 00:16:20,680 Speaker 1: engagement and also how Phil has reduced virtual meetings at Pecon. Now, 325 00:16:20,720 --> 00:16:24,000 Speaker 1: if you would like to hear more productivity content, you 326 00:16:24,040 --> 00:16:26,320 Speaker 1: might want to follow me on some of the social 327 00:16:26,360 --> 00:16:28,680 Speaker 1: media channels that I'm active on. You can find me 328 00:16:29,160 --> 00:16:32,920 Speaker 1: on LinkedIn just search for my name Amantha Imba, and 329 00:16:33,000 --> 00:16:35,480 Speaker 1: also at Twitter at Amantha. 330 00:16:35,560 --> 00:16:38,000 Speaker 2: And also I am now. 331 00:16:37,920 --> 00:16:39,840 Speaker 1: A little bit more active on Instagram and you can 332 00:16:39,880 --> 00:16:44,160 Speaker 1: find me there at Amantha. I Are there any other 333 00:16:44,240 --> 00:16:47,680 Speaker 1: examples you can share where say you've launched an initiative 334 00:16:48,000 --> 00:16:51,760 Speaker 1: or put out some comms and you've used that data 335 00:16:51,840 --> 00:16:54,920 Speaker 1: to cause correct or you know, the data showed you 336 00:16:55,000 --> 00:16:56,840 Speaker 1: something that was really surprising and then you had to 337 00:16:56,880 --> 00:16:57,360 Speaker 1: act on that. 338 00:16:57,920 --> 00:17:00,720 Speaker 3: Yeah, I mean we've got loads of great examples, particularly 339 00:17:00,760 --> 00:17:03,640 Speaker 3: in the customer base. You know, we we peakle. Customers 340 00:17:03,640 --> 00:17:05,760 Speaker 3: are using it for a lot of different use cases. 341 00:17:05,760 --> 00:17:08,280 Speaker 3: I think one that really springs to mind in my 342 00:17:08,359 --> 00:17:11,040 Speaker 3: mind is kind of in a retail setting. One of 343 00:17:11,040 --> 00:17:13,879 Speaker 3: our one of our clients wanted to study what would 344 00:17:13,880 --> 00:17:17,920 Speaker 3: be the effect of giving of paying people the living wage. 345 00:17:17,720 --> 00:17:18,800 Speaker 4: Rather than the minimum wage. 346 00:17:19,200 --> 00:17:21,800 Speaker 3: Uh. And you know, they actually set up a control 347 00:17:21,840 --> 00:17:25,400 Speaker 3: group of stores and then kind of you know, did 348 00:17:25,880 --> 00:17:28,399 Speaker 3: you know, did a pay differential between those two control groups, 349 00:17:28,640 --> 00:17:30,840 Speaker 3: and they saw that not only did engagement increase in 350 00:17:30,840 --> 00:17:32,680 Speaker 3: in the sort of group that got the pay rise, 351 00:17:32,720 --> 00:17:35,920 Speaker 3: but it also led to better customer satisfaction and ultimately 352 00:17:35,960 --> 00:17:39,280 Speaker 3: to better store profitability. And therefore, you know, you could 353 00:17:39,280 --> 00:17:41,280 Speaker 3: make the business case for doing that on our on 354 00:17:41,359 --> 00:17:44,399 Speaker 3: a on a bigger scale. So I think, you know, 355 00:17:44,400 --> 00:17:49,000 Speaker 3: we've we've also seen examples of increased engagement link to 356 00:17:50,119 --> 00:17:52,679 Speaker 3: reduction in safety incidences in the kind of a you know, 357 00:17:52,720 --> 00:17:57,680 Speaker 3: industrial setting. So there's all sorts of of great outcomes 358 00:17:57,960 --> 00:18:00,720 Speaker 3: that I think you and measure and I think I 359 00:18:00,720 --> 00:18:02,840 Speaker 3: think obviously in Mentor you kind of proved it with 360 00:18:02,880 --> 00:18:04,840 Speaker 3: your you know, your four day work week leading to 361 00:18:05,359 --> 00:18:08,040 Speaker 3: twenty six percent better productivity, which is an astounding result. 362 00:18:08,480 --> 00:18:11,239 Speaker 1: Now I'd love to know what sort of things you 363 00:18:11,280 --> 00:18:15,639 Speaker 1: do at pecon to maximize employee engagement. 364 00:18:16,600 --> 00:18:18,480 Speaker 3: I think that it really starts with the kind of 365 00:18:18,600 --> 00:18:21,400 Speaker 3: values in the mission of the organization, right, I think ultimately, 366 00:18:22,200 --> 00:18:26,719 Speaker 3: you know, employee engagement isn't around sort of fads or 367 00:18:27,680 --> 00:18:31,679 Speaker 3: or you know, sort of perks, even it's really around you, 368 00:18:31,720 --> 00:18:34,720 Speaker 3: do you find true meaning in your job? And you 369 00:18:34,760 --> 00:18:36,920 Speaker 3: know that has to be true of sustained long period 370 00:18:36,960 --> 00:18:40,480 Speaker 3: of time. And I think you know that the sort 371 00:18:40,480 --> 00:18:44,560 Speaker 3: of you know, really embedding kind of how how you 372 00:18:44,680 --> 00:18:48,480 Speaker 3: work and why you come to work into the overall 373 00:18:49,320 --> 00:18:52,679 Speaker 3: sort of company rhythm and sort of calling that out 374 00:18:52,720 --> 00:18:56,520 Speaker 3: and you know, in terms of what are great examples 375 00:18:56,600 --> 00:18:59,720 Speaker 3: of how we've improved the working life of employees. So 376 00:19:00,240 --> 00:19:01,879 Speaker 3: you know, in our monthly all hands, you know, we 377 00:19:02,000 --> 00:19:07,440 Speaker 3: always start start with the mission and we talk about, 378 00:19:07,800 --> 00:19:10,879 Speaker 3: you know, examples, particularly in our Customer Success team of 379 00:19:11,560 --> 00:19:15,800 Speaker 3: great initiatives where we've seen customers change things for the 380 00:19:15,800 --> 00:19:19,080 Speaker 3: better in their organizations because of Peak on data. And 381 00:19:19,119 --> 00:19:22,439 Speaker 3: I think that's really why people come to work at PEACON. 382 00:19:22,880 --> 00:19:24,880 Speaker 1: Now, I know you've done some fun stuff with your 383 00:19:25,080 --> 00:19:29,440 Speaker 1: partner who's a documentary filmmaker, to do some interesting things 384 00:19:29,480 --> 00:19:32,080 Speaker 1: around engagement. Can you share some of the things you've 385 00:19:32,080 --> 00:19:32,520 Speaker 1: done there? 386 00:19:33,680 --> 00:19:35,399 Speaker 3: Yeah, Well, we were scratching our heads a little bit 387 00:19:35,440 --> 00:19:37,560 Speaker 3: when as I guess most companies where when we got 388 00:19:37,560 --> 00:19:40,600 Speaker 3: through thrown into the first lockdown. So one of the 389 00:19:41,080 --> 00:19:44,120 Speaker 3: I think genius ideas we came up was twenty six 390 00:19:44,160 --> 00:19:46,400 Speaker 3: hours Zoomathon, which was kind of modeled on the old 391 00:19:47,200 --> 00:19:50,960 Speaker 3: charity telethons that don't really had them in Australia, but yeah, yeah, 392 00:19:51,000 --> 00:19:53,800 Speaker 3: that was a big thing in the UK right where 393 00:19:53,840 --> 00:19:57,640 Speaker 3: you would have these huge television programs around comic relief 394 00:19:57,680 --> 00:20:00,000 Speaker 3: and stuff like that. So we said to all employees 395 00:20:00,119 --> 00:20:03,479 Speaker 3: is right, everyone can who wants to you can sign up. 396 00:20:03,480 --> 00:20:06,720 Speaker 3: You get thirty minutes live on Zoom broadcasting to the 397 00:20:06,760 --> 00:20:08,480 Speaker 3: whole company. We're going to run it for twenty six 398 00:20:08,520 --> 00:20:12,359 Speaker 3: hours and you can do whatever you want. So I 399 00:20:12,400 --> 00:20:14,880 Speaker 3: was sort of scratching my head and I was like, okay, 400 00:20:15,000 --> 00:20:19,119 Speaker 3: So one of my passions is is wildlife photography, and 401 00:20:19,760 --> 00:20:22,240 Speaker 3: as you mentioned, my partners a sort of documentary filmmaker 402 00:20:22,440 --> 00:20:27,439 Speaker 3: in the environmental sphere. So I managed to rig up 403 00:20:27,520 --> 00:20:30,640 Speaker 3: this live broadcast down the camera thing where I went 404 00:20:30,680 --> 00:20:34,720 Speaker 3: out into the field at dusk and it all sort 405 00:20:34,720 --> 00:20:36,880 Speaker 3: of came together at the last minute and I sort 406 00:20:36,920 --> 00:20:40,200 Speaker 3: of connected this like HDMI capture thing to my phone 407 00:20:40,240 --> 00:20:42,360 Speaker 3: and then broadcast back to the company and I filmed 408 00:20:43,040 --> 00:20:44,880 Speaker 3: some munt jack deer and some hairs. 409 00:20:44,600 --> 00:20:47,159 Speaker 4: In a field in Norfolk down down the camera. 410 00:20:48,080 --> 00:20:50,000 Speaker 3: So it's kind of it was quite stressful because I 411 00:20:50,040 --> 00:20:52,080 Speaker 3: sort of had to do the commentary and the filming 412 00:20:52,080 --> 00:20:55,560 Speaker 3: all at the same time, which is now I realized 413 00:20:55,600 --> 00:20:57,920 Speaker 3: how David Atenborough feels. 414 00:20:58,400 --> 00:21:02,520 Speaker 1: That's awesome if we have virtual meetings in general, because 415 00:21:02,520 --> 00:21:05,360 Speaker 1: I imagine you must have done so much of your 416 00:21:05,480 --> 00:21:11,120 Speaker 1: work via virtual meetings, zoom, whatever you're using, Like, what 417 00:21:11,160 --> 00:21:14,160 Speaker 1: have been some of the strategies that you have used 418 00:21:14,359 --> 00:21:18,480 Speaker 1: to make virtual meetings like suck a little bit less? 419 00:21:19,920 --> 00:21:22,760 Speaker 3: Yeah, I mean, try try and reduce them, I would say. 420 00:21:23,680 --> 00:21:25,440 Speaker 3: I mean, I think the first principle is like can 421 00:21:25,480 --> 00:21:27,879 Speaker 3: this thing be done asynchronously? I think a lot of 422 00:21:27,920 --> 00:21:31,400 Speaker 3: people sort of, you know, the meeting is their first tool, 423 00:21:32,040 --> 00:21:33,760 Speaker 3: and I you know, I think we have to get 424 00:21:33,800 --> 00:21:36,080 Speaker 3: out of that. And it's fine if you're in the 425 00:21:36,119 --> 00:21:40,080 Speaker 3: same time zone or a fine ish, but ultimately if 426 00:21:40,119 --> 00:21:42,199 Speaker 3: you're not, and you know, we work across the globe, 427 00:21:42,600 --> 00:21:45,400 Speaker 3: it's you know, there are only small hours of overlap. 428 00:21:45,480 --> 00:21:46,399 Speaker 4: You know, this is one of. 429 00:21:46,400 --> 00:21:49,719 Speaker 3: The ones with the ash Pacific region, but you know, 430 00:21:49,760 --> 00:21:53,080 Speaker 3: in the evening in Europe, like we're talking to California, 431 00:21:53,760 --> 00:21:56,440 Speaker 3: and I think, you know, the more of that people do, 432 00:21:56,520 --> 00:21:57,679 Speaker 3: like the lesson goes to get. 433 00:21:58,240 --> 00:22:01,440 Speaker 4: We've you know, lent on a collaboration tools a lot. 434 00:22:01,480 --> 00:22:04,560 Speaker 3: I think one of the big standouts for me is 435 00:22:04,359 --> 00:22:06,359 Speaker 3: a is a tool called Mirro, which is effectively a 436 00:22:06,960 --> 00:22:10,040 Speaker 3: collaborative whiteboarding tool. I don't know if you've ever used it, Yes, 437 00:22:10,119 --> 00:22:11,200 Speaker 3: absolutely brilliant. 438 00:22:12,080 --> 00:22:13,240 Speaker 2: How do you use miro? 439 00:22:14,359 --> 00:22:16,200 Speaker 4: So we use it a lot. 440 00:22:16,000 --> 00:22:18,679 Speaker 3: For doing you know, like the kind of meeting that 441 00:22:18,720 --> 00:22:21,000 Speaker 3: would be like a strategy off site or you know, 442 00:22:21,840 --> 00:22:24,159 Speaker 3: you know those kind of things where everybody's contributing a 443 00:22:24,160 --> 00:22:25,399 Speaker 3: lot of ideas and putting them on a page and 444 00:22:25,400 --> 00:22:29,159 Speaker 3: we're trying to organize them and that that really allows 445 00:22:29,200 --> 00:22:31,320 Speaker 3: that process to run over multiple days, I think, and 446 00:22:31,560 --> 00:22:34,320 Speaker 3: people to sort of do that work asynchronously and then 447 00:22:34,320 --> 00:22:37,880 Speaker 3: come back together. And I've I've found it to be 448 00:22:37,920 --> 00:22:41,000 Speaker 3: a really good, I don't know, a really good implementation 449 00:22:41,080 --> 00:22:43,840 Speaker 3: of that, So would would recommend it. 450 00:22:44,480 --> 00:22:48,359 Speaker 1: When you're setting meetings, Phil, how do you decide whether 451 00:22:48,440 --> 00:22:50,800 Speaker 1: something is worthy of a meeting or whether it can 452 00:22:50,880 --> 00:22:53,960 Speaker 1: just be an email or you know, done in some 453 00:22:54,080 --> 00:22:55,679 Speaker 1: other asynchronous fashion. 454 00:22:56,160 --> 00:22:59,119 Speaker 3: I think it's relative to the level of discussion that 455 00:22:59,119 --> 00:23:00,639 Speaker 3: you really want to have around it. I mean, you 456 00:23:00,640 --> 00:23:03,040 Speaker 3: think you need people to feel included, right or to 457 00:23:03,080 --> 00:23:06,840 Speaker 3: be included not feel included. So I think it's getting 458 00:23:07,200 --> 00:23:10,640 Speaker 3: the right standing meetings in place, you know, and making 459 00:23:10,680 --> 00:23:13,680 Speaker 3: sure that you have a good structure and the agenda 460 00:23:13,720 --> 00:23:15,840 Speaker 3: has contributed before and you have a plan for what's 461 00:23:15,880 --> 00:23:18,680 Speaker 3: coming up so that everyone can get their stuff on there, 462 00:23:18,680 --> 00:23:21,399 Speaker 3: but not creating you know, a ton of ad hoc 463 00:23:21,840 --> 00:23:24,440 Speaker 3: you know, in addition to that, unless it's strictly necessary, 464 00:23:24,840 --> 00:23:27,359 Speaker 3: and I think that that can be tricky. But I 465 00:23:27,359 --> 00:23:29,280 Speaker 3: think if you start to talk about this at a 466 00:23:29,320 --> 00:23:32,000 Speaker 3: senior level in the company, you sort of have to 467 00:23:32,000 --> 00:23:34,720 Speaker 3: practice what you preach, right and you know, really let 468 00:23:34,760 --> 00:23:37,920 Speaker 3: everybody know that that's something that you know, as a leader, 469 00:23:37,960 --> 00:23:40,159 Speaker 3: you're trying to actively reduce and try and trying to 470 00:23:40,200 --> 00:23:42,800 Speaker 3: make more time. I think you know when you may 471 00:23:42,840 --> 00:23:44,879 Speaker 3: have you've obviously kind of taken this to the extreme 472 00:23:44,920 --> 00:23:48,000 Speaker 3: with a day a week off, but we're also you know, 473 00:23:48,480 --> 00:23:52,480 Speaker 3: having no meeting Wednesdays, for instance, So just giving people 474 00:23:52,480 --> 00:23:54,600 Speaker 3: a day where everybody's not going to have meetings so 475 00:23:54,640 --> 00:23:57,120 Speaker 3: that you can you can clete your calendar and get 476 00:23:57,160 --> 00:23:58,680 Speaker 3: some more desk work or bookbook done. 477 00:23:59,480 --> 00:24:01,440 Speaker 4: Is that's that's quite effective too. 478 00:24:02,320 --> 00:24:05,720 Speaker 1: What's been the impact of no meeting Wednesdays? 479 00:24:06,119 --> 00:24:08,080 Speaker 3: Well, I think one of one of the nice things around. 480 00:24:10,040 --> 00:24:12,919 Speaker 3: So there's advantage and disadvantages to working with California, but 481 00:24:12,960 --> 00:24:15,200 Speaker 3: one of the nice things is the mornings are free. 482 00:24:16,960 --> 00:24:22,160 Speaker 3: So I think it it just gives you know, people, 483 00:24:22,200 --> 00:24:24,960 Speaker 3: I think context switching is extremely expensive, right, and I 484 00:24:25,000 --> 00:24:29,199 Speaker 3: think it really matters like where you put the meetings 485 00:24:29,240 --> 00:24:29,680 Speaker 3: in the week. 486 00:24:31,040 --> 00:24:33,679 Speaker 4: So you know, whether if people. 487 00:24:33,440 --> 00:24:36,399 Speaker 3: Have twenty hours of meetings but they're they're dotted around 488 00:24:36,440 --> 00:24:38,520 Speaker 3: like every other hour, then they're probably going to be 489 00:24:38,560 --> 00:24:42,040 Speaker 3: half as productive as if you actually organize that. So 490 00:24:42,800 --> 00:24:47,879 Speaker 3: I think it's you know, particularly true in jobs where 491 00:24:48,440 --> 00:24:50,600 Speaker 3: you have some you know, complex development work to do 492 00:24:50,840 --> 00:24:53,920 Speaker 3: or product ideation or those things. It's it's quite hard 493 00:24:54,000 --> 00:24:56,560 Speaker 3: to switch into a mode where you're kind of in 494 00:24:56,640 --> 00:24:58,560 Speaker 3: a flow and then then switch out of it to 495 00:24:58,600 --> 00:25:02,160 Speaker 3: a completely different topic. So I think the impact really 496 00:25:02,240 --> 00:25:06,040 Speaker 3: is is a better quality of work when you're you 497 00:25:06,080 --> 00:25:06,920 Speaker 3: know you're in that zone. 498 00:25:08,480 --> 00:25:11,280 Speaker 1: Do you have like a rhythm in terms of how 499 00:25:11,359 --> 00:25:12,480 Speaker 1: you organize your. 500 00:25:12,359 --> 00:25:16,760 Speaker 3: Wakes, so I tend to do my one on one 501 00:25:16,840 --> 00:25:18,480 Speaker 3: in the mornings with Europe. 502 00:25:19,359 --> 00:25:21,040 Speaker 4: Then I have I have a. 503 00:25:20,920 --> 00:25:22,359 Speaker 3: You know, two teams really, which is the peak On 504 00:25:22,400 --> 00:25:26,760 Speaker 3: management team, so we meet once a week. I also 505 00:25:26,840 --> 00:25:29,480 Speaker 3: have the office the CERCHA team in workday. You know, 506 00:25:29,520 --> 00:25:31,560 Speaker 3: it's a peak on is like one of the four 507 00:25:31,600 --> 00:25:35,120 Speaker 3: pillars in that. So we meet on Mondays and then 508 00:25:35,640 --> 00:25:38,600 Speaker 3: try and you know, keep keep the middle of the 509 00:25:38,680 --> 00:25:43,280 Speaker 3: day free for customer stuff that comes up, so you know, 510 00:25:45,080 --> 00:25:49,560 Speaker 3: kind of have a fairly regular schedule and enough. I 511 00:25:49,600 --> 00:25:51,760 Speaker 3: think I try and keep like enough free time, like 512 00:25:51,800 --> 00:25:54,360 Speaker 3: thirty percent every week that you can keep on top 513 00:25:54,400 --> 00:25:57,720 Speaker 3: of everything else. And I think that's obviously sometimes easier 514 00:25:57,760 --> 00:26:00,080 Speaker 3: said than done, but that's that works. 515 00:25:59,840 --> 00:26:02,280 Speaker 4: For me and it's pretty pretty simple to do. 516 00:26:02,760 --> 00:26:05,959 Speaker 3: But then you know, I also do have an EA Laura, 517 00:26:06,040 --> 00:26:07,800 Speaker 3: who makes my life a lot easier. 518 00:26:08,560 --> 00:26:09,120 Speaker 2: That's interesting. 519 00:26:09,160 --> 00:26:11,840 Speaker 1: So you keep thirty percent free, how do you do that? 520 00:26:13,000 --> 00:26:15,240 Speaker 4: How do that just just really by blocking time? 521 00:26:16,080 --> 00:26:20,480 Speaker 3: I think, you know, again, the principle of transparency worked 522 00:26:20,520 --> 00:26:23,080 Speaker 3: really well as Peacon, so we we always had open 523 00:26:23,080 --> 00:26:26,199 Speaker 3: calendars as well, which I found from a lot of 524 00:26:26,200 --> 00:26:28,919 Speaker 3: customers they find that quite shocking. Too, but we were 525 00:26:28,960 --> 00:26:30,960 Speaker 3: always like you know it really, I think it helps 526 00:26:30,960 --> 00:26:33,719 Speaker 3: people reason around you know, is this thing that I'm 527 00:26:33,720 --> 00:26:36,640 Speaker 3: trying to put in your calendar more important than you know, 528 00:26:36,880 --> 00:26:39,080 Speaker 3: this other stuff? Or can I be more thoughtful around 529 00:26:39,119 --> 00:26:41,200 Speaker 3: where I'm going to put this meeting given the other 530 00:26:41,200 --> 00:26:42,879 Speaker 3: stuff that I can see that you're doing, as in 531 00:26:43,040 --> 00:26:45,560 Speaker 3: you might need some prep time before, you know, an 532 00:26:45,560 --> 00:26:47,680 Speaker 3: important podcast interview with. 533 00:26:47,680 --> 00:26:50,240 Speaker 4: Amantha or what have you. 534 00:26:50,280 --> 00:26:52,840 Speaker 3: And I think when you move into a world where 535 00:26:52,880 --> 00:26:57,680 Speaker 3: you have private calendars, all of that thoughtfulness around around 536 00:26:57,840 --> 00:27:00,199 Speaker 3: you know what you know people people could could have have, 537 00:27:00,840 --> 00:27:02,440 Speaker 3: it just goes away, right because I've got no idea 538 00:27:02,480 --> 00:27:06,000 Speaker 3: what you're doing. So I think as much as possible, 539 00:27:07,119 --> 00:27:09,240 Speaker 3: I tried to give people access to my schedule at 540 00:27:09,280 --> 00:27:11,119 Speaker 3: least so they can they can. 541 00:27:11,000 --> 00:27:12,200 Speaker 4: Do that now. 542 00:27:12,240 --> 00:27:14,560 Speaker 1: I imagine that over the course of your career you 543 00:27:14,600 --> 00:27:16,159 Speaker 1: would have received a lot of. 544 00:27:16,320 --> 00:27:18,680 Speaker 2: Advice, some good, so bad. 545 00:27:18,760 --> 00:27:22,080 Speaker 1: I'd love to know, like, what are some pieces of advice, 546 00:27:22,160 --> 00:27:25,840 Speaker 1: maybe one or two things that have served you really well. 547 00:27:27,720 --> 00:27:27,960 Speaker 2: Yeah. 548 00:27:28,320 --> 00:27:32,439 Speaker 3: I think that, you know, when you look back at 549 00:27:32,480 --> 00:27:36,240 Speaker 3: why pecon has been successful, I think it's really around 550 00:27:37,640 --> 00:27:43,119 Speaker 3: trying to think about, you know, what are the mega 551 00:27:43,160 --> 00:27:47,119 Speaker 3: trends here that are going to be different in you know, 552 00:27:47,160 --> 00:27:49,960 Speaker 3: three to five years time. And I think to do that, 553 00:27:50,080 --> 00:27:53,720 Speaker 3: you sort of it's good to be interested in quite 554 00:27:53,720 --> 00:27:56,400 Speaker 3: a lot of different domains. And I think we certainly 555 00:27:57,119 --> 00:28:01,040 Speaker 3: applied what was happening in the you know, domain of 556 00:28:01,080 --> 00:28:04,160 Speaker 3: the customer, you know, around customer experience, customer analytics real 557 00:28:04,200 --> 00:28:09,679 Speaker 3: time to then what might happen to the management of 558 00:28:09,720 --> 00:28:12,280 Speaker 3: employees with the you know, I guess you look back 559 00:28:12,280 --> 00:28:14,960 Speaker 3: at it ur fairly obvious extrapolation that you know, to 560 00:28:15,000 --> 00:28:16,520 Speaker 3: have a great customer experience, you need to have a 561 00:28:16,520 --> 00:28:19,400 Speaker 3: great employee experience. But then we were like, well, surely, 562 00:28:19,640 --> 00:28:22,280 Speaker 3: if people are the most important thing in your business, 563 00:28:22,400 --> 00:28:24,920 Speaker 3: and you know, the old Jerry Sanders adage profits and 564 00:28:24,920 --> 00:28:28,080 Speaker 3: profits will follow, then why isn't there the same sort 565 00:28:28,080 --> 00:28:31,240 Speaker 3: of real time data driven approach to managing and retaining 566 00:28:31,520 --> 00:28:34,359 Speaker 3: your best people. And I think that, you know, the 567 00:28:34,400 --> 00:28:38,200 Speaker 3: more generalized insight there is that you know, by having 568 00:28:38,280 --> 00:28:40,880 Speaker 3: a having a doing quite a bit of reading around 569 00:28:40,920 --> 00:28:43,360 Speaker 3: lots of different domains and you know, not necessarily having 570 00:28:43,400 --> 00:28:47,440 Speaker 3: any sacred cows around the ways things should be done, 571 00:28:49,680 --> 00:28:52,160 Speaker 3: then you can you can create yourself an advantage. And 572 00:28:52,200 --> 00:28:54,520 Speaker 3: I think the fact that we didn't really have any 573 00:28:54,520 --> 00:28:57,440 Speaker 3: domain expertise meant that many of the things we did 574 00:28:57,480 --> 00:28:59,600 Speaker 3: at the start, which were sort of heretical, you know, 575 00:28:59,680 --> 00:29:02,760 Speaker 3: like you were you can only run weekly and it's 576 00:29:02,800 --> 00:29:04,360 Speaker 3: only our ten questions and that's. 577 00:29:04,200 --> 00:29:06,720 Speaker 4: It, and that's the only choice. You know, many many 578 00:29:06,720 --> 00:29:08,640 Speaker 4: people said, well, okay, well we won't use peak on. 579 00:29:08,760 --> 00:29:12,200 Speaker 3: But but then the companies that did saw some great 580 00:29:12,200 --> 00:29:14,840 Speaker 3: advantages and you know, we managed to build on that. 581 00:29:14,880 --> 00:29:16,520 Speaker 3: So I think you can carve yourself a niche in 582 00:29:16,560 --> 00:29:20,160 Speaker 3: that way, and that's been that served as well. 583 00:29:21,440 --> 00:29:22,680 Speaker 2: What about bad advice? 584 00:29:22,800 --> 00:29:25,280 Speaker 1: Can you think of any advice you've been given that 585 00:29:25,760 --> 00:29:28,360 Speaker 1: it was just terrible and they did not save you. 586 00:29:31,480 --> 00:29:35,080 Speaker 3: Well, I think there's a you know, coming from the startup, Well, 587 00:29:35,080 --> 00:29:40,480 Speaker 3: there's a lot of celebration around fundraising and you know, 588 00:29:40,920 --> 00:29:43,600 Speaker 3: raising money and huge rounds and you know, that's just 589 00:29:43,680 --> 00:29:47,440 Speaker 3: kind of accelerated. And I think we always saw it 590 00:29:47,480 --> 00:29:50,080 Speaker 3: as well. It wasn't really something to celebrate. You're just 591 00:29:50,080 --> 00:29:53,080 Speaker 3: giving away more shares in your company. So we never 592 00:29:53,120 --> 00:29:56,320 Speaker 3: did a party around that or you know, really really 593 00:29:56,520 --> 00:29:59,520 Speaker 3: made a big thing about it. I think we, you know, 594 00:29:59,520 --> 00:30:02,520 Speaker 3: really tried to focus on creating a sustainable business, and 595 00:30:03,200 --> 00:30:09,000 Speaker 3: I think maybe another piece of bad advice would really 596 00:30:09,040 --> 00:30:12,040 Speaker 3: be carrying too much around what the competitors are doing. 597 00:30:12,640 --> 00:30:14,720 Speaker 3: I think that you know, this is quite nuanced, so 598 00:30:14,800 --> 00:30:17,040 Speaker 3: I think you probably should care about what they're doing 599 00:30:17,080 --> 00:30:19,680 Speaker 3: in a sort of in the go to market area. 600 00:30:19,960 --> 00:30:22,280 Speaker 3: But I think in the product area, you know, you 601 00:30:22,320 --> 00:30:25,320 Speaker 3: know hardly at all. In many ways, you know, just 602 00:30:25,440 --> 00:30:30,200 Speaker 3: blindly copying kind of other companies. I think it's terrible 603 00:30:30,200 --> 00:30:31,840 Speaker 3: advice because you don't really know what's working and what's 604 00:30:31,840 --> 00:30:32,520 Speaker 3: not working for them. 605 00:30:32,840 --> 00:30:35,280 Speaker 1: Now, my final question for you, Phil, for people that 606 00:30:35,360 --> 00:30:38,920 Speaker 1: want to connect with you and try out pecon, what 607 00:30:39,080 --> 00:30:41,120 Speaker 1: is the best way that people can do that. 608 00:30:42,520 --> 00:30:44,040 Speaker 3: Yeah, well, if you want to connect with me, then 609 00:30:44,120 --> 00:30:47,520 Speaker 3: I'm on LinkedIn or Phil at pecon dot com. I 610 00:30:47,560 --> 00:30:49,680 Speaker 3: would be happy to hear from any of your listeners 611 00:30:49,720 --> 00:30:53,680 Speaker 3: who want to learn a bit more about pecon, and yeah, 612 00:30:53,840 --> 00:30:54,640 Speaker 3: please get in touch. 613 00:30:55,240 --> 00:30:59,160 Speaker 1: Amazing, fantastic, Well, Phil, it has been a pleasure talking 614 00:30:59,200 --> 00:31:01,720 Speaker 1: to you and an apsolute pleasure using pecon for the 615 00:31:01,800 --> 00:31:02,760 Speaker 1: last few years as well. 616 00:31:02,840 --> 00:31:05,280 Speaker 2: So thank you for creating such an awesome product. 617 00:31:05,720 --> 00:31:07,600 Speaker 3: Thanks a lot for having me on the podcast a month, 618 00:31:07,720 --> 00:31:08,880 Speaker 3: and thanks a lot for using Peacon. 619 00:31:09,160 --> 00:31:09,800 Speaker 4: It's been great. 620 00:31:10,560 --> 00:31:13,160 Speaker 1: That is it for today. I hope you enjoyed my 621 00:31:13,280 --> 00:31:18,480 Speaker 1: chat with Phil and he's got your thinking about employee engagement, 622 00:31:18,480 --> 00:31:22,120 Speaker 1: maybe in some different ways. And if you are not 623 00:31:22,520 --> 00:31:27,240 Speaker 1: a follower or subscriber of How I Work, now might 624 00:31:27,280 --> 00:31:30,160 Speaker 1: be the day to hit follow or subscribe wherever you're 625 00:31:30,160 --> 00:31:33,840 Speaker 1: listening to this podcast from. I've got some amazing guests 626 00:31:33,920 --> 00:31:39,560 Speaker 1: coming up in the next few weeks, including author Sally Hepworth, 627 00:31:40,200 --> 00:31:44,240 Speaker 1: who has a bunch of fascinating productivity tips that she 628 00:31:45,160 --> 00:31:49,440 Speaker 1: does and uses in her own life, and also Phil Livin, 629 00:31:49,520 --> 00:31:53,040 Speaker 1: who is the co founder of ever note software that 630 00:31:53,160 --> 00:31:55,360 Speaker 1: I rely on multiple. 631 00:31:54,880 --> 00:31:56,400 Speaker 2: Times a day. 632 00:31:56,760 --> 00:31:59,920 Speaker 1: How I Work is produced by Inventing with production support 633 00:32:00,040 --> 00:32:03,000 Speaker 1: from Dead Set Studios. The producer for this episode was 634 00:32:03,080 --> 00:32:05,400 Speaker 1: Jenna Koda, and thank you to Mattin Nimber who does 635 00:32:05,440 --> 00:32:08,920 Speaker 1: the audio mix for every episode and makes everything sound awesome. 636 00:32:09,280 --> 00:32:10,080 Speaker 2: See you next time.