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Risk Identification tools and techniques | CAPM


Risk Identification tools and techniques



Documentation Reviews


The standard practice to identify risks is reviewing project related documents such as lessons learned, articles, organizational process assets, etc


Information Gathering Techniques


The given techniques are similar to the techniques used to collect requirements. Lets look at a few of them:


Brainstorming


Brainstorming is done with a group of people who focus on identification of risk for the project.


Delphi Technique


A team of experts is consulted anonymously. A list of required information is sent to experts, responses are compiled, and results are sent back to them for further review until a consensus is reached.


Interviewing


An interview is conducted with project participants, stakeholders, experts, etc to identify risks.


Root Cause Analysis


Root causes are determined for the identified risks. These root causes are further used to identify additional risks.


Swot Analysis (STRENGTH, Weakness, Opportunities And Threats)


Strengths and weaknesses are identified for the project and thus, risks are determined.


Checklist Analysis


The checklist of risk categories is used to come up with additional risks for the project.


Assumption Analysis


Identification of different assumptions of the project and determining their validity, further helps in identifying risks for the project.


Outputs to Identify Risks


This process of Risk Identification results in creation of Risk Register.


Risk Register


A Risk Register is a living document that is updated regularly throughout the life cycle of the project. It becomes a part of project documents and is included in the historical records that are used for future projects. The risk register includes:



  • List of Risks


  • List of Potential Responses


  • Root Causes of Risks


  • Updated Risk Categories



Tools and Techniques:


Some of the tools that can be used for qualitative risk analysis include:


Probability And Impact Matrix


The matrix helps in identifying those risks which require an immediate response. The matrix may be customized according to the needs of the project. Most companies do have a standardized template for this matrix and project managers could leverage those templates as well. Use of standardized matrix makes the matrix list more repeatable between projects.


Risk Data Quality Assessment


Data is collated for the identified risks. The project manager will try to find the precision of the data that must be analyzed for completing the qualitative analysis of risks.


For each risk, in Risk Data Quality Assessment, the project manager needs to determine:



  • Extent of the understanding of the risk


  • Data available


  • Quality and reliability of the data


  • Integrity of the data



PERFORM QUANTITATIVE RISK ANALYSIS


The next step of Qualitative risk analysis is to analyze the probability and impact of risks in Perform Quantitative Risk. The purpose of Quantitative Risk Analysis is:



  • Identification of risk response that requires urgent attention


  • Identify the exposure of risk on the project


  • Identify the impact of risk on the objective of the project


  • Determine cost and schedule reserves that could be required if risk occurs


  • Identify risks requiring more attention



ā€‹DETERMINING QUANTITATIVE PROBABILITY AND IMPACT


Some of the techniques of quantitatively determining probability and impact of a risk include:



  • Interviewing


  • Cost and time estimating


  • Delphi technique


  • Historical Records


  • Expert judgment


  • Expected monetary value analysis


  • Monte Carlo Analysis


  • Decision tree



Expected Monetary Value Analysis


Expected Monetary Value is a good measure to determine the overall ranking of risks. The formula is:


EMV = P X I


Where, EMV = Expected Monetary Value


P = Probability


I = Impact


Monte Carlo Analysis (SIMULATION Technique)


The Monte Carlo analysis simulates the cost or schedule results of the project. The primary inputs for this analysis are the network diagram and estimates to perform the project


A Monte Carlo analysis:



  • Requires a computer based program


  • Evaluates the overall risk in the project


  • Determines the probability of completing the project on any specific day, or for any specific cost


  • Determines the probability of any activity actually being on critical path


  • Path convergence is taken into account


  • Cost and schedule impacts can be assessed


  • Results in a probability distribution



Decision Tree


Decision tree helps to analyze many alternatives at one single point of time. They are models of real situation. A decision tree takes into account future events in making the decision today. It helps calculate Expected Monetary Value in more complex situations. It also involves Mutual Exclusivity.


RISK REGISTER UPDATES



  • Prioritized list of quantified risks


  • Amount of contingency time and cost reserves needed


  • Possible realistic and achievable completion dates and project costs, with confidence levels, versus the time and cost objectives for the project


  • The quantified probability of meeting the project objectives


  • Trends in quantitative risk analysis






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