1 00:00:00,501 --> 00:00:04,428 Okay, let's have a look at risk management in practice 2 00:00:04,457 --> 00:00:08,474 And what I want to do is to start with some basic concepts 3 00:00:08,485 --> 00:00:14,015 then focus on two difficult areas in the risk process 4 00:00:14,242 --> 00:00:19,164 So, I guess if I asked you to define the word 'risk' 5 00:00:19,174 --> 00:00:22,954 you would have some ideas of what it meant 6 00:00:22,967 --> 00:00:26,476 We might not have a formal definition that we could quote, 7 00:00:26,476 --> 00:00:30,253 but we all have something in our minds when we hear the word 'risk' 8 00:00:30,274 --> 00:00:33,972 This is what we think, and maybe you think of things like this 9 00:00:34,234 --> 00:00:38,534 Maybe you feel like this little guy, facing some big ugly challenge 10 00:00:38,534 --> 00:00:41,791 that you know is just going to squash you flat. 11 00:00:42,066 --> 00:00:43,766 Maybe you feel like this guy. 12 00:00:44,024 --> 00:00:46,489 This is a real job in North Korea, 13 00:00:47,768 --> 00:00:51,367 and his job is to hold the target for other people to shoot at 14 00:00:51,500 --> 00:00:53,979 Sometimes project managers have the target here 15 00:00:54,292 --> 00:00:56,911 We feel like everybody is shooting at us in our job 16 00:00:57,757 --> 00:01:01,987 Or maybe you just know there's something nasty out there, waiting to get you 17 00:01:02,470 --> 00:01:05,700 And maybe that's what you think of when you think of the word 'risk' 18 00:01:06,361 --> 00:01:09,574 Well that's partly true but it's not the whole truth. 19 00:01:10,193 --> 00:01:13,625 Risk is not the same as uncertainty. 20 00:01:14,220 --> 00:01:16,963 Risk is related to uncertainty but they're different. 21 00:01:17,670 --> 00:01:23,826 So all risks are uncertain but not all uncertainties are risks. 22 00:01:24,653 --> 00:01:27,589 If you have a risk register or a risk list, 23 00:01:27,942 --> 00:01:31,435 you don't have a million items in it, or you shouldn't. 24 00:01:31,962 --> 00:01:34,512 You don't even probably have a thousand items in it, 25 00:01:34,512 --> 00:01:35,788 you have a smaller number. 26 00:01:36,714 --> 00:01:40,007 Although there are millions of uncertainties in the world. 27 00:01:40,400 --> 00:01:44,313 So how do we decide which uncertainties we're going to call 'risk'? 28 00:01:44,677 --> 00:01:47,280 And write them down and put them in our risk register 29 00:01:47,548 --> 00:01:50,057 and decide to do something about them. 30 00:01:50,483 --> 00:01:56,362 Clearly 'risk' is a subset of uncertainties, but which subset? 31 00:01:56,942 --> 00:01:58,133 How do you know? 32 00:01:58,798 --> 00:02:02,948 I think it's very simple to separate risk and uncertainty. 33 00:02:03,199 --> 00:02:05,274 And I used 3 English words, 34 00:02:05,425 --> 00:02:10,019 these words here, 'risk is uncertainty that matters." 35 00:02:11,503 --> 00:02:14,783 Because most of the uncertainties in the world don't matter. 36 00:02:15,564 --> 00:02:19,014 We don't care if it's going to rain in London tomorrow afternoon. 37 00:02:19,400 --> 00:02:23,780 It might, it might not, it's irrelevant, it doesn't matter. 38 00:02:24,498 --> 00:02:26,948 We don't care what the exchange rate will be 39 00:02:26,948 --> 00:02:30,703 if it's between the Russian Ruble and the Chinese Yen in 2020. 40 00:02:30,703 --> 00:02:32,387 It doesn't matter to us. 41 00:02:32,888 --> 00:02:35,118 But there are things on our projects, 42 00:02:35,427 --> 00:02:37,117 and things in our families, 43 00:02:37,271 --> 00:02:38,871 and things in our country, 44 00:02:38,979 --> 00:02:41,446 which are uncertain which do matter to us. 45 00:02:42,195 --> 00:02:45,338 If it's an uncertainty that matters, it's a risk. 46 00:02:46,188 --> 00:02:49,991 So here's another question, how do you know what matters? 47 00:02:50,751 --> 00:02:53,396 In your projects, what are the things that matter? 48 00:02:54,077 --> 00:02:57,875 The things that matter in our projects are our objectives. 49 00:02:58,532 --> 00:03:02,216 So we must always connect uncertainty with objectives, 50 00:03:02,991 --> 00:03:05,631 in order to find the risks. 51 00:03:06,005 --> 00:03:08,355 And if we look at some definitions of risk, 52 00:03:08,361 --> 00:03:11,405 this is the ISO standard that I mentioned, 53 00:03:11,445 --> 00:03:13,796 it connects those words very simply. 54 00:03:13,796 --> 00:03:17,559 Risk is the effect of uncertainty on objectives. 55 00:03:18,451 --> 00:03:21,201 And we might look at another definition from the UK, 56 00:03:21,387 --> 00:03:23,916 from our association with project management, 57 00:03:24,144 --> 00:03:28,134 it says the same thing that risk is an uncertain event 58 00:03:28,152 --> 00:03:32,212 or a set of circumstances, which is uncertain, 59 00:03:32,212 --> 00:03:35,372 but it matters because should it occur, 60 00:03:35,372 --> 00:03:38,587 it will have an effect on achievement of objectives. 61 00:03:38,603 --> 00:03:40,553 Uncertainty that matters. 62 00:03:40,867 --> 00:03:44,317 So we should be looking in our risk register for two things. 63 00:03:44,703 --> 00:03:48,803 Is it uncertain? We don't want problems in our risk register. 64 00:03:49,183 --> 00:03:52,113 We don't want issues in the risk register. 65 00:03:52,113 --> 00:03:55,020 We don't want constraints or requirements. 66 00:03:55,291 --> 00:03:59,631 These things are certain, what we want are uncertainties, 67 00:03:59,721 --> 00:04:02,241 something that might happen or might not happen. 68 00:04:03,076 --> 00:04:06,766 But the other important question for our risk register is 69 00:04:06,766 --> 00:04:08,366 does it matter? 70 00:04:08,439 --> 00:04:11,739 Which objective would be effective if this thing happened? 71 00:04:13,304 --> 00:04:15,810 And then when we want to see how big the risk is, 72 00:04:16,160 --> 00:04:18,322 we can ask those two questions: 73 00:04:18,338 --> 00:04:19,768 how uncertain is it, 74 00:04:19,985 --> 00:04:22,095 and how much does it matter? 75 00:04:22,132 --> 00:04:24,502 And that will tell us how big the risk is. 76 00:04:24,564 --> 00:04:27,044 So, this idea of uncertainty that matters 77 00:04:27,084 --> 00:04:30,536 then develops into something which is useful 78 00:04:30,618 --> 00:04:33,317 by linking uncertainty to our objectives. 79 00:04:34,767 --> 00:04:37,148 So, we have two dimensions of ‘risk,’ 80 00:04:37,409 --> 00:04:39,658 we have an uncertainty dimension and we 81 00:04:39,658 --> 00:04:42,093 have a dimension that affects our objectives 82 00:04:43,249 --> 00:04:47,419 In projects, we call this probability and impact, 83 00:04:47,449 --> 00:04:49,502 We could call them other things, 84 00:04:49,502 --> 00:04:51,233 there are other English 85 00:04:51,233 --> 00:04:52,767 words we could use, but these 86 00:04:52,767 --> 00:04:54,553 are the ones, most often, we use. 87 00:04:54,702 --> 00:04:57,732 And I would like to ask you with this picture of the mouse. 88 00:04:59,632 --> 00:05:04,647 What effect matters to the mouse? 89 00:05:05,874 --> 00:05:09,315 So first of all, clearly, he is in a uncertain situation here. 90 00:05:09,845 --> 00:05:12,193 And he's seen some risks. 91 00:05:12,457 --> 00:05:15,359 His objective is to get the cheese and stay alive. 92 00:05:15,938 --> 00:05:18,817 And so, one of the risks he has identified is a bad thing 93 00:05:18,903 --> 00:05:21,353 that might happen, he might be killed or injured. 94 00:05:22,177 --> 00:05:24,517 And so, he has been a good project manager, 95 00:05:24,517 --> 00:05:27,032 he has put his little helmet on, and he is preparing 96 00:05:27,152 --> 00:05:32,051 so that it doesn't happen to him. So, he doesn't get killed or injured. 97 00:05:32,051 --> 00:05:32,821 Very good. 98 00:05:33,690 --> 00:05:36,560 And there are things in our projects, that if they happened 99 00:05:36,560 --> 00:05:37,875 would kill or injure us. 100 00:05:37,875 --> 00:05:39,218 They would waste time, 101 00:05:39,218 --> 00:05:41,566 waste money, damage reputation, 102 00:05:41,566 --> 00:05:42,986 destroy performance, 103 00:05:43,202 --> 00:05:45,732 maybe even injure real people. 104 00:05:46,230 --> 00:05:49,880 And as project managers we have to see those things and stop them happening. 105 00:05:49,957 --> 00:05:51,792 Protect ourselves in advance. 106 00:05:51,857 --> 00:05:52,867 Avoid them. 107 00:05:54,240 --> 00:05:57,870 Are there any other uncertainties that matter for the mouse? 108 00:05:59,637 --> 00:06:01,327 Well there is... 109 00:06:01,327 --> 00:06:02,275 the cheese. 110 00:06:02,678 --> 00:06:05,558 There's an uncertainty here which matters a great deal. 111 00:06:05,558 --> 00:06:07,887 Will I get the cheese out of the trap? 112 00:06:08,733 --> 00:06:10,429 He might, or he might not. 113 00:06:10,967 --> 00:06:14,121 And if he doesn't get the cheese out of the trap, he's failed 114 00:06:14,961 --> 00:06:17,471 So he has two uncertainties to manage, 115 00:06:17,471 --> 00:06:20,133 one of them is bad - he might be killed or injured - 116 00:06:20,419 --> 00:06:22,639 the other is good - he might get the cheese. 117 00:06:23,129 --> 00:06:24,616 And what he has to do, 118 00:06:24,968 --> 00:06:28,958 what he has to do is to manage both of these at the same time. 119 00:06:29,232 --> 00:06:32,159 And as project managers, we have to do the same thing. 120 00:06:32,788 --> 00:06:36,128 And also we have to do it in the best possible way - 121 00:06:36,128 --> 00:06:40,546 sometimes there's a better way to get the cheese without being killed or injured. 122 00:06:41,428 --> 00:06:44,518 In our projects we have to stop the bad things happening, 123 00:06:44,889 --> 00:06:47,789 but we also have to get the cheese out of our projects. 124 00:06:49,116 --> 00:06:52,116 So what does 'cheese' mean, in your project? 125 00:06:52,116 --> 00:06:54,302 What is the 'cheese' in your project? 126 00:06:55,160 --> 00:06:56,640 'Cheese' means value. 127 00:06:56,806 --> 00:06:58,445 'Cheese' means benefits. 128 00:06:58,644 --> 00:07:01,868 'Cheese' means products and services that people want and need. 129 00:07:02,170 --> 00:07:04,290 'Cheese' means customer satisfaction. 130 00:07:04,491 --> 00:07:08,689 'Cheese' is the good stuff that we're trying to get out of our difficult projects. 131 00:07:08,872 --> 00:07:11,962 And if we don't do anything bad - 132 00:07:11,962 --> 00:07:16,170 we don't waste time, we don't waste money, we don't damage reputation - 133 00:07:16,170 --> 00:07:17,954 but we don't create value, 134 00:07:18,278 --> 00:07:19,338 we've failed. 135 00:07:19,683 --> 00:07:23,183 If the mouse didn't die but he didn't get the cheese, he failed. 136 00:07:23,950 --> 00:07:28,353 If we create benefits, but we waste time and waste money and destroy reputation, 137 00:07:28,353 --> 00:07:29,369 we've failed. 138 00:07:30,015 --> 00:07:32,565 And if the mouse gets the cheese and he's killed, 139 00:07:32,724 --> 00:07:33,784 he's failed. 140 00:07:33,784 --> 00:07:36,076 So we have to do both of these things. 141 00:07:36,353 --> 00:07:39,231 And when we think about risk and think about impact, 142 00:07:39,468 --> 00:07:41,896 there are two kinds of impact that matter. 143 00:07:42,525 --> 00:07:45,175 Bad ones, and good ones. 144 00:07:45,488 --> 00:07:48,125 Uncertainties that could hurt the project, 145 00:07:48,678 --> 00:07:51,568 and uncertainties that could help the project. 146 00:07:51,766 --> 00:07:56,364 Both of these matter and both of these need to be managed. 147 00:07:56,867 --> 00:07:59,078 And we have another word for those. 148 00:07:59,305 --> 00:08:03,791 So, here's the definition of risk from the Project Management Institute, the PMI, 149 00:08:04,007 --> 00:08:05,685 from the PMBok Guide. 150 00:08:05,993 --> 00:08:08,093 It's the same as the others that we've seen: 151 00:08:08,093 --> 00:08:12,379 an uncertain event or condition, that if it occurs, affects an objective. 152 00:08:13,222 --> 00:08:18,534 But PMI knows about the mouse. PMI knows about the cheese and the traps, 153 00:08:18,721 --> 00:08:22,277 and has added three words to the definition of risk here. 154 00:08:23,233 --> 00:08:26,204 It's not the words 'cheese' and 'traps'. 155 00:08:26,432 --> 00:08:29,301 It's the words 'positive or negative'. 156 00:08:30,067 --> 00:08:33,734 What this tells us is that there are good risks, as well as bad risks. 157 00:08:33,734 --> 00:08:37,583 And we heard that in one of our keynote speeches, earlier this morning. 158 00:08:37,583 --> 99:59:59,999 In the uncertain situation that this country faces going forward 159 99:59:59,999 --> 99:59:59,999 with all the changes that their have been, there are threats. 160 99:59:59,999 --> 99:59:59,999 There are things that could go wrong. 161 99:59:59,999 --> 99:59:59,999 And you need to see those and address them. 162 99:59:59,999 --> 99:59:59,999 But there are also opportunities. 163 99:59:59,999 --> 99:59:59,999 Uncertain things that might happen that could be good. 164 99:59:59,999 --> 99:59:59,999 And we also need to see those things, 165 99:59:59,999 --> 99:59:59,999 and to try and proactively make them happen. 166 99:59:59,999 --> 99:59:59,999 And that is equally true in our projects, 167 99:59:59,999 --> 99:59:59,999 in our personal lives, 168 99:59:59,999 --> 99:59:59,999 and also at the national level. 169 99:59:59,999 --> 99:59:59,999 And I'll be talking about some of those things later on this afternoon