All language subtitles for KU PMGT 823 Session 3 (Part C)-Identifying Schedule Risks - Copy

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,380 --> 00:00:05,900 Hello everyone and welcome to Part C of our third session in Project Risk 2 00:00:05,900 --> 00:00:10,460 Management. In this part, we will explore schedule -related risks, what 3 00:00:10,460 --> 00:00:14,540 them, how to identify them early, and why they can significantly impact your 4 00:00:14,540 --> 00:00:16,020 project timeline and so forth. 5 00:00:16,400 --> 00:00:20,080 Let's dive in and see what makes schedule risk one of the most critical 6 00:00:20,080 --> 00:00:21,480 challenges in project planning. 7 00:00:25,560 --> 00:00:30,140 Schedule risk are often underestimated, but as we will see, even small timing 8 00:00:30,140 --> 00:00:32,920 issues can have major consequences for project success. 9 00:00:35,920 --> 00:00:40,920 According to the PERIL database, schedule risk represents slightly less 10 00:00:40,920 --> 00:00:42,640 % of all recorded risks. 11 00:00:42,900 --> 00:00:47,360 On average, these risks delay projects by more than six weeks, a delay 12 00:00:47,360 --> 00:00:49,680 comparable to that caused by resource risks. 13 00:00:50,140 --> 00:00:54,700 Even more importantly, schedule -related risks account for about one quarter of 14 00:00:54,700 --> 00:00:56,760 all total project impact in the database. 15 00:01:00,060 --> 00:01:05,000 Schedule risks can be grouped into three main categories, delay, estimate, and 16 00:01:05,000 --> 00:01:07,500 dependency. Let's review each of them. 17 00:01:08,020 --> 00:01:10,540 Delay -related risks are the most common one. 18 00:01:10,900 --> 00:01:14,760 These involve a slippage caused by factors that are within the project 19 00:01:14,760 --> 00:01:19,300 control. Second, estimate -related risks tend to have the highest average 20 00:01:19,300 --> 00:01:23,970 impact. These risks arise when not enough time is allocated for activities, 21 00:01:24,310 --> 00:01:27,190 often due to poor or optimistic estimating. 22 00:01:27,410 --> 00:01:32,630 And finally, dependency -related risks stem from external causes outside of the 23 00:01:32,630 --> 00:01:36,850 project's direct control, such as delays from third parties, infrastructure 24 00:01:36,850 --> 00:01:38,810 readiness, or legal approvals. 25 00:01:42,510 --> 00:01:47,290 Now let's explore 10 common reasons for scheduled risks that can impact project 26 00:01:47,290 --> 00:01:48,290 timelines. 27 00:01:48,440 --> 00:01:52,440 First, we have incorrect estimation of new work. Often due to the learning 28 00:01:52,440 --> 00:01:57,160 curve, teams assume tasks are easier than they are, leading to 29 00:01:57,160 --> 00:01:58,740 and major scheduling impact. 30 00:01:59,460 --> 00:02:04,840 Second, legal dependencies, changes in regulations or standards can introduce 31 00:02:04,840 --> 00:02:09,979 long unforeseen delays, especially when approvals or compliance are involved. 32 00:02:10,750 --> 00:02:15,610 Third, project interdependencies. Delays in one project can ripple into others, 33 00:02:15,770 --> 00:02:20,190 particularly when multiple initiatives are connected or share resources. 34 00:02:21,050 --> 00:02:23,030 Fourth, unrealistic deadlines. 35 00:02:23,270 --> 00:02:27,130 When deadlines are imposed from the top without detailed scheduling analysis, 36 00:02:27,590 --> 00:02:29,970 they tend to lead to inevitable delays. 37 00:02:30,910 --> 00:02:33,190 Five, lack of sufficient information. 38 00:02:33,690 --> 00:02:37,110 Without the right data or input, planning becomes guesswork. 39 00:02:37,660 --> 00:02:40,880 And that uncertainty almost always leads to schedule problems. 40 00:02:44,200 --> 00:02:47,580 Number six is poor estimation or inadequate analysis. 41 00:02:48,000 --> 00:02:50,760 This often comes down to human judgment errors. 42 00:02:51,040 --> 00:02:55,640 If tasks are misjudged in terms of duration, it directly disrupts the 43 00:02:55,980 --> 00:02:58,180 Number seven is unready infrastructure. 44 00:02:58,760 --> 00:03:03,880 When essential systems like IT support, logistics, or printing services aren't 45 00:03:03,880 --> 00:03:05,980 in place on time, everything gets delayed. 46 00:03:06,760 --> 00:03:09,400 Number eight is waiting for required components. 47 00:03:09,720 --> 00:03:11,160 It is a very common risk. 48 00:03:11,360 --> 00:03:16,260 Missing materials or parts can halt progress until they arrive, especially 49 00:03:16,260 --> 00:03:18,060 manufacturing or construction projects. 50 00:03:18,380 --> 00:03:23,900 Number nine is delayed decision making, whether it is slow approvals or internal 51 00:03:23,900 --> 00:03:28,560 indecision. Every delay in making heat choices can cascade across the schedule. 52 00:03:28,820 --> 00:03:32,000 And finally, number 10 is late or faulty equipment. 53 00:03:32,420 --> 00:03:37,200 When tools or hardware arrive late or don't work as intended, your timeline 54 00:03:37,200 --> 00:03:38,680 takes an immediate heat. 55 00:03:41,060 --> 00:03:46,880 This bar chart illustrates the impact of various schedule -related risks on 56 00:03:46,880 --> 00:03:47,880 project timelines. 57 00:03:48,260 --> 00:03:54,140 As you can see, the two biggest contributors to delays are estimates and 58 00:03:54,140 --> 00:03:55,140 in parts. 59 00:03:55,240 --> 00:04:01,080 In other words, underestimating how much effort new work requires or waiting for 60 00:04:01,080 --> 00:04:05,060 essential components are the top items in a schedule overrun. 61 00:04:05,600 --> 00:04:09,940 Next, we have risks like missing information and project dependencies. 62 00:04:10,460 --> 00:04:15,920 These also cause significant delays, especially when teams don't have access 63 00:04:15,920 --> 00:04:21,240 complete data or when they rely heavily on other projects or teams to proceed. 64 00:04:25,100 --> 00:04:26,480 Let's walk through this example. 65 00:04:27,000 --> 00:04:31,460 David was managing an IT project to set up a secure internal network for three 66 00:04:31,460 --> 00:04:32,460 of his branches. 67 00:04:32,580 --> 00:04:36,680 At first, he thought configuring the switches and firewalls would be quick 68 00:04:36,680 --> 00:04:41,100 easy, but the team ran into unexpected technical issues that took much longer 69 00:04:41,100 --> 00:04:42,100 than planned. 70 00:04:42,220 --> 00:04:46,680 This delay happened because the work was more complex than they had assumed 71 00:04:46,680 --> 00:04:51,300 first. Later, they had to stop progress because the shipment of important 72 00:04:51,300 --> 00:04:53,520 routers was stuck in customs. 73 00:04:54,190 --> 00:04:58,090 While waiting for the parts, another problem came up when an internal 74 00:04:58,090 --> 00:05:01,530 for a data sharing agreement took too long to finalize. 75 00:05:01,790 --> 00:05:06,210 These delays weren't part of the original plan, but they had a real 76 00:05:06,210 --> 00:05:07,210 the schedule. 77 00:05:07,290 --> 00:05:12,270 David quickly realized that even small misjudgments can turn into big timeline 78 00:05:12,270 --> 00:05:15,050 problems when multiple risks show up at once. 79 00:05:17,970 --> 00:05:22,760 As mentioned before, Blackstone risks are rare but extremely damaging events 80 00:05:22,760 --> 00:05:24,940 that can seriously impact the project schedule. 81 00:05:25,340 --> 00:05:30,100 In the PERIL database, they refer to the worst 20 % of all recorded risks. 82 00:05:30,440 --> 00:05:34,580 These events usually cause delays of three months or more and are difficult 83 00:05:34,580 --> 00:05:35,580 predict or control. 84 00:05:36,080 --> 00:05:41,940 Out of 206 major risks studied, 46 were related to schedule issues and made up 85 00:05:41,940 --> 00:05:43,560 half of the total delay impact. 86 00:05:44,180 --> 00:05:48,760 As you can see in the table, risks like Poor estimates and missing parts are 87 00:05:48,760 --> 00:05:52,320 among the top contributors to this schedule -related black swath. 88 00:05:55,640 --> 00:06:00,240 When reviewing your schedule, look closely at estimates that feel vague or 89 00:06:00,240 --> 00:06:05,040 uncertain. Be cautious with any time estimates that aren't backed by real 90 00:06:05,400 --> 00:06:10,360 Watch for dependencies, especially where tasks come together, as they often hide 91 00:06:10,360 --> 00:06:15,210 risks. Try to tackle high -risk tasks early in the project. Keep an eye on 92 00:06:15,210 --> 00:06:19,170 critical parts because having too many of them can create pressure points. 93 00:06:19,430 --> 00:06:24,270 Also remember that longer projects usually come with more uncertainty and 94 00:06:24,270 --> 00:06:25,270 issues. 95 00:06:28,130 --> 00:06:32,310 And that wraps up Part 3 of our session on identifying project scheduling. 96 00:06:33,020 --> 00:06:37,200 We have explored where schedule risks come from, what forms they can take, and 97 00:06:37,200 --> 00:06:41,000 how to recognize them early. Now please continue on to Part D. 9033

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