Chủ Nhật, 1 tháng 5, 2011

Cascading Impact Analysis 67

Instructions

Overview
The Cascading Impact Analysis is a tool used to prioritize solutions when problem solving. The idea combines prioritization methods of Six Sigma with the Triple Constraints of PMP. The first matrix, the Impact Constraint Matrix assesses the total impact of the possible solution against the primary constraint, resulting in several high priority solutions in the upper right hand quadrant. If the number in this quadrant exceeds 5 solutions, then the team moves to the next matrix, the Dual Constraint Matrix.
Constraints
In the Project Management Book of Knowledge there are three key constraints known as the Triple Constraints. They are time, cost and scope. A constraint is something that Must occur. So perhaps the solution Must be delivered by a certain date, or within a certain budget, or meet specific criteria. Determining which factor is the most important constraint is essential in prioritizing. First look at the triple constraints and determine if one of these is the most important factor. If not, identify the primary constraint. Perhaps it Must be small, quiet, glass or fast, at any cost over any period of time. Maybe it Must be delivered by the next exhibition. List your three most important constraints and move to the next section.
Determining Impact
Impact is derived from the effectiveness of the solution * the population that it will effect. Let's use resolved files as an example. Let's say that the average number of files resolved per day has declined from 100 to 75, and the objective is to get the number back up to 100, then the opportunities to be improved equal 25 per day. If a solution will be 90% effective on half the files, and have no effect on the other half, then the solution has an impact of 45%. That's 90% effectiveness * 50% of the opportunities.
Impact = Effectiveness % * Opportunity %
Impact / Constraint Matrix
Take your first solution, and assess how impactful it is compared to other solutions. Then assess the solution against the primary constraint to determine how well it meets that constraint. Plot the solution on diagram at the intersection of the Impact and Primary Constraint effectiveness. Continue for each solution until they are all plotted on the matrix.
Dual Constraint Matrix
If there are more than 5 solutions in the upper-right hand quadrant, cascade to the Dual Constraint matrix. This is when each of the solutions from the upper-right hand quadrant are re-evaluated based upon the secondary and tertiary constraints. The solutions closest to the upper right-hand quadrant are the solutions that best meet all three constraints. Implement the top 5 solutions. Save a list of the remaining solutions for future improvements.
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