All language subtitles for KU PMGT 823 Session 2 (Part A)- Project Failures and Risks

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,930 --> 00:00:06,150 Hi everyone and welcome back. This is session two of our course, Project Risk 2 00:00:06,150 --> 00:00:10,430 Management. Today we will be focusing on one of the most important parts of the 3 00:00:10,430 --> 00:00:13,230 risk management process, planning risk management. 4 00:00:13,590 --> 00:00:17,650 As the name suggests, we are going to look at how to design a clear and 5 00:00:17,650 --> 00:00:21,970 structured approach from the very beginning of the project to identify, 6 00:00:22,170 --> 00:00:23,770 and respond to risk effectively. 7 00:00:32,940 --> 00:00:36,300 Let's start this section with something we all want to avoid, project failure. 8 00:00:36,640 --> 00:00:40,080 In the world of project management, failure isn't always dramatic. 9 00:00:40,420 --> 00:00:44,460 Sometimes it is less obvious, like delays, budget overruns, or unmet 10 00:00:44,460 --> 00:00:48,800 expectations. But in almost every case, risks that were not properly identified 11 00:00:48,800 --> 00:00:50,760 or managed play a big role. 12 00:00:50,960 --> 00:00:54,520 So in this part, we are going to look at the connection between project failures 13 00:00:54,520 --> 00:00:58,840 and poor risk planning and set the stage for why proactive risk management 14 00:00:58,840 --> 00:00:59,840 really matters. 15 00:01:03,560 --> 00:01:06,980 Project failures happen when a project does not fully meet the goals it was 16 00:01:06,980 --> 00:01:11,480 meant to achieve. Even if a project succeeds in some areas, it can succeed 17 00:01:11,480 --> 00:01:12,480 short in others. 18 00:01:12,560 --> 00:01:16,580 Most of the common causes of failure are actually risks that were not properly 19 00:01:16,580 --> 00:01:21,500 managed. Things like poor planning, unclear expectations, or lack of support 20 00:01:21,500 --> 00:01:23,280 seriously impact a project's success. 21 00:01:23,660 --> 00:01:28,280 By identifying these risks early, teams can take action to avoid failure and 22 00:01:28,280 --> 00:01:30,020 improve their chance of delivering value. 23 00:01:33,610 --> 00:01:35,750 That leads us to an important question. 24 00:01:35,990 --> 00:01:40,510 How many projects actually fail? There is a common belief floating around that 25 00:01:40,510 --> 00:01:44,930 75 % of all projects fail, but that number is often misunderstood. 26 00:01:45,430 --> 00:01:49,890 It actually comes from a chaos report, and it mostly refers to large IT 27 00:01:49,890 --> 00:01:52,190 projects, not all types of projects. 28 00:01:52,410 --> 00:01:54,550 So in many cases, this number is exaggerated. 29 00:01:55,070 --> 00:02:00,510 Now, if we look at what the report actually says, around 25 % of projects 30 00:02:00,510 --> 00:02:02,190 canceled before delivering results. 31 00:02:02,960 --> 00:02:07,600 About 50 % were considered challenge, meaning they were delivered late, over 32 00:02:07,600 --> 00:02:09,380 budget or with reduced scope. 33 00:02:09,720 --> 00:02:15,240 And only about 25 % were fully successful, meeting scope, time and cost 34 00:02:15,780 --> 00:02:20,800 So the takeaway here is why failure isn't quite as dramatic as some people 35 00:02:20,800 --> 00:02:24,820 think. There is still a huge room available for improvement, especially 36 00:02:24,820 --> 00:02:25,860 better risk management. 37 00:02:28,590 --> 00:02:32,830 This chart comes from a three -year study that analyzes 200 different 38 00:02:32,830 --> 00:02:36,230 to categorize the schedule delays based on their root causes. 39 00:02:36,470 --> 00:02:41,210 Some of the most common reasons include unforeseen technical problems, poor 40 00:02:41,210 --> 00:02:45,910 effort estimation or relying too heavily on top -down scheduling, weak product 41 00:02:45,910 --> 00:02:50,690 or system design, especially when it comes to integration, and frequent 42 00:02:50,690 --> 00:02:51,790 in product definition. 43 00:02:52,450 --> 00:02:57,730 As you can see, Especially technical problems and inaccurate planning cause 44 00:02:57,730 --> 00:03:00,890 most significant delays in terms of engineering months lost. 45 00:03:01,430 --> 00:03:05,570 This kind of data is really useful because it reminds us that the project 46 00:03:05,570 --> 00:03:10,370 aren't just about bad luck. They often trace back to predictable, manageable 47 00:03:10,370 --> 00:03:14,790 risks. And that's exactly what we are learning to handle in this course. 48 00:03:17,950 --> 00:03:22,490 Based on what we have covered so far, we can group project failures into three 49 00:03:22,490 --> 00:03:23,490 main categories. 50 00:03:23,960 --> 00:03:27,300 Some projects are impossible from the beginning because they depend on 51 00:03:27,300 --> 00:03:28,880 technologies that don't yet exist. 52 00:03:29,320 --> 00:03:34,060 Others are over -constrained by timelines, budgets, or resources that 53 00:03:34,060 --> 00:03:35,760 too limited to allow them for success. 54 00:03:36,180 --> 00:03:41,320 In many cases, failure happens due to poor management such as unclear 55 00:03:41,600 --> 00:03:43,480 weak leadership, or lack of coordination. 56 00:03:44,240 --> 00:03:48,180 These three categories help us better understand the root causes of project 57 00:03:48,180 --> 00:03:52,660 failure. In session three, we will expand on this and explore how different 58 00:03:52,660 --> 00:03:54,760 types of risk fall within these categories. 59 00:03:58,240 --> 00:04:01,680 Let's look at three common types of projects that are likely to fail. 60 00:04:02,040 --> 00:04:05,000 The first example shows a technically impossible project. 61 00:04:05,400 --> 00:04:09,620 A company tries to develop an anti -gravity device within a year, even 62 00:04:09,620 --> 00:04:12,520 there is no scientific foundation that supports their idea. 63 00:04:12,760 --> 00:04:16,300 No matter how motivated the team is, the project cannot succeed. 64 00:04:17,579 --> 00:04:20,540 Second example is an over -constrained project. 65 00:04:20,839 --> 00:04:25,700 An organization wants to move its entire financial system to a new database in 66 00:04:25,700 --> 00:04:29,420 just two weeks using only part -time student workers and no budget. 67 00:04:30,180 --> 00:04:34,800 The third example shows a poorly managed project where a team is developing a 68 00:04:34,800 --> 00:04:39,240 mobile app, but unclear planning and weak follow -up cause delays and quality 69 00:04:39,240 --> 00:04:40,240 issues. 70 00:04:44,030 --> 00:04:48,170 us to the end of part a if you have any questions please feel free to reach out 71 00:04:48,170 --> 00:04:52,030 thank you so much for watching this video and when you are ready go ahead 72 00:04:52,030 --> 00:04:53,030 start part b 6813

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