Phase Gate Stx
Tools l| ^ Tasks7 Deliverables? Requirements
The tools, methods, and best practices that enable the tasks associated with fulfilling the Evaluate deliverables include the following:
• Financial modeling and forecasting tools such as NPV, ECV, ROI analysis, and Monte Carlo Simulation
• Business case development and valuation methods
• Portfolio balancing methods
• RWW Analysis
• Pugh Concept Evaluation & Selection Method
• Project management tools including Monte Carlo Simulation for statistical cycle-time design and forecasting, and FMEA for cycle-time risk assessment.
The Scorecard, as shown in Table 4.9 , is used by marketing teams who apply tools to complete tasks.
|
1 |
2 |
3 |
4 |
s |
s |
7 |
|
SSFM Tool |
Tool Summary, Including Type and Units |
Task | ||||
|
Product portfolio architecting methods |
Generate candidate portfolio architectures | |||||
|
Pugh Concept Evaluation & Selection Process; portfolio balancing methods |
Evaluate portfolio architecture candidates and select a best portfolio architecture; conduct the Pugh Process | |||||
|
Business case development and financial modeling methods (including Monte Carlo simulations) |
Create preliminary business cases for the elements of each candidate portfolio architecture |
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
|
SSFM Tool |
Tool Summary, Including Type and Units |
Task | ||||
|
RWW Analysis method |
Conduct RWW Analysis on candidate portfolio architectures | |||||
|
Portfolio architecture FMEA |
Conduct risk analysis on each candidate portfolio architecture (FMEA) | |||||
|
Project management methods |
Develop Activate project plans and project risk analysis |
Columns 1 and 7 align the tool to a specific task and its requirement for justifying the use of the tool. (Never use a tool if you can't justify its ability to fulfill a task.)
Quality of Tool Usage, Data Integrity, and Results Versus Requirements are scored on a scale of 1 to 10 using the simple scoring templates provided in Chapter 2 .
Average Tool Score illustrates overall tool quantification across the three scoring dimensions. (A high ATS indicates that a task is being underwritten by proper tool usage.)
Data Summary is intended to illustrate the nature of the data and the specific units of measure (attribute or continuous data, scale or specific units of measure).
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