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Risk Management and Post-Project Reviews: Planning for Uncertainty and Learning from Experience
System Analysis and Design · Chapter 9: Project Management, Scheduling, and QualitySection 9.10 · lesson 69 of 697 min · free with a free account
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In this lesson
Identifying and analyzing risk, the risk register, response strategies, and lessons learned.
- Describe techniques for identifying project risks
- Distinguish qualitative from quantitative risk analysis
- Read a probability-impact matrix, and explain the risk register
- Compare the 4 response strategies, and explain post-implementation reviews
Transcript
Everything said in the video, section by section (921 words). Read along, or search it.
Project Management, Scheduling, and Quality
Risk Management and Post-Project Reviews
Every project runs on assumptions, and some of them will turn out wrong. This final section covers how teams find and weigh risks, record them, and decide how to respond. And how, once a system is live, a post-implementation review turns experience into lessons for the next project.
Risk Identification
Finding Risks Before They Find You
Risk identification is the systematic process of finding and documenting potential risks before they happen, rather than discovering them once they have caused a problem. Five techniques are common. Brainstorming, where a team generates a broad list together, drawing on varied perspectives. Checklists, where risks common to similar past projects are reviewed for this one. Expert judgment, where experienced practitioners identify risks from what they have seen before. Assumption analysis, which examines the assumptions the plan rests on, and what could go wrong if one proves false. And historical review, which examines records from past projects, for risks that occurred before.
Risk Analysis
Qualitative vs. Quantitative
Once risks are identified, they are analyzed, in one of two ways. Qualitative analysis uses relative, descriptive judgments, typically low, medium, or high. It is fast, needs few resources, and works on most projects as a first pass. Its output is a prioritized list, or a matrix. Quantitative analysis uses numerical data and modeling, such as an actual probability percentage and an estimated cost or schedule impact. It is more precise, but needs more time, data, and expertise. So it is usually reserved for the high-stakes, or highly uncertain, risks that justify that effort.
Figure 9.2
The Probability-Impact Matrix
A probability-impact matrix is a qualitative tool for prioritizing risks. Probability runs across the bottom, from very low to very high. Impact runs up the side, the same way. The cells shift from green toward red, as probability and impact both rise. Four risks are plotted. A minor U I bug sits low on both, in green. Scope creep is high on both, in an orange cell. And along the top row, with very high impact, sit a key vendor delay and a data center outage.
Reading the Matrix
Unlikely Is Not the Same as Unimportant
The point of the matrix is to show which risks need attention first. Look at the data center outage. Its probability is very low. But its impact would be very high. So it still lands in an elevated, orange zone. A risk does not need to be likely to deserve serious attention, if the consequence would be severe enough. The minor U I bug is the opposite. Low probability, very low impact, and safe to watch, rather than act on.
The Risk Register
A Living Record of Every Risk
A risk register is a central, living document that records every identified risk, with the details needed to manage it. Each entry has a risk I D, for tracking, and a description of what the risk actually is. It records the risk's probability, and its impact. A priority, or rating, often derived from the probability-impact matrix. An owner, responsible for monitoring the risk and responding to it. The response strategy. And the risk's status, open, mitigated, closed, or occurred. It is kept living, updated throughout the project, because risks, and what is known about them, keep changing. A list written once would soon go stale.
Response Strategies
Avoid, Mitigate, Transfer, Accept
For each risk, the team chooses one of four classic response strategies. Avoid changes the plan to eliminate the risk, or its cause, entirely. Such as dropping a risky, unproven integration from the scope. Mitigate takes action to reduce the risk's probability or impact. Such as adding extra testing time, to catch defects earlier. Transfer shifts the risk, or its financial consequence, to a third party. Such as buying insurance, or signing a contract that moves liability to a vendor. And accept acknowledges the risk, and takes no proactive action. Sensible for a small, low-cost risk, not worth spending more to address. Notice the difference between transfer and mitigate. Insurance does not make the risk any less likely. It shifts the consequence elsewhere. Mitigation reduces the risk itself.
After Go-Live
The Post-Implementation Review
A post-implementation review, or P I R, is a formal review held after a system goes live, usually after some period of operation. It asks whether the project achieved its objectives, and what worked well or poorly along the way. Did the system meet its original objectives? That confirms the intended value was delivered. Did the project stay within budget and schedule? That assesses how accurate the estimates were. Which risks actually occurred, and how well was each handled? That feeds the risk register, and future risk identification. And what would the team do differently next time? That produces documented lessons learned. Those lessons are often stored where other teams can find them, feeding directly into the historical-review technique, on the next project.
Key Terms
The Vocabulary of This Section
Let's lock in the key terms. Qualitative risk analysis uses descriptive ratings. Quantitative analysis uses numerical data and modeling. A probability-impact matrix is a grid that prioritizes risks by likelihood and severity. A risk register is the living record of every identified risk. Avoid, mitigate, transfer, and accept are the four classic risk responses. And a post-implementation review is a formal review after go-live, producing lessons learned.
Key Takeaways
What to Carry Forward
To pull this together. Risks are identified through brainstorming, checklists, expert judgment, assumption analysis, and historical review. Qualitative analysis is fast and descriptive. Quantitative analysis is precise, but resource-intensive, and reserved for higher-stakes risks. A probability-impact matrix prioritizes risks visually, and a low-probability, high-impact risk can still rank high. A risk register is a living record of each risk's description, probability, impact, priority, owner, response, and status. The four responses are avoid, mitigate, transfer, and accept. And a post-implementation review's lessons feed forward into the next project's risk identification.
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