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Page 1: 1 10-1 McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved

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McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved.

Page 2: 1 10-1 McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved

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CHAPTER TEN

THE FULL SCREEN

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The Full Screen

• A step often seen as a necessary evil, yet very powerful and with long-lasting effects.

• Forces pre-technical evaluation, and summarizes what must be done.

• Methods range from simple checklists to complex mathematical models.

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Purposes of the Full Screen

• To decide whether technical resources should be devoted to the project.– Feasibility of technical accomplishment -- can we do it?

– Feasibility of commercial accomplishment -- do we want to do it?

• To help manage the process.– Recycle and rework concepts

– Rank order good concepts

– Track appraisals of failed concepts

• To encourage cross-functional communication.• To help build consensus.

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Screening Alternatives

• Judgment/Managerial Opinion

• Concept Test followed by Sales Forecast(if only issue is whether consumers will like it)

• Checklists

• Scoring Models

• Grids or matrices

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A Simple Scoring Model

ValuesFactors: 4 Points 3 Points 2 Points 1 PointDegree of FunNumber of PeopleAffordabilityCapability

MuchOver 5EasilyVery

Some4 to 5ProbablyGood

Little2 to 3MaybeSome

NoneUnder 2NoLittle

Student's Scores: Skiing Boating HikingFun 4 3 4People 4 4 2Affordability 2 4 4Capability 1 4 3 Totals 11 15 13

Answer: Go boating.

Figure 10.2

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Source of Scoring Factor ModelsFigure 10.3

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A Scoring Model for Full ScreenNote: this model only shows a few sample screening factors.

Factor Score (1-5) Weight Weighted Score

Technical Accomplishment:

Technical task difficulty

Research skills required

Rate of technological change

Design superiority assurance

Manufacturing equipment...

Commercial Accomplishment:

Market volatility

Probable market share

Sales force requirements

Competition to be faced

Degree of unmet need...

Figure 10.4

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The Scorers

• Scoring Team: Major Functions (marketing, technical, operations, finance)

New Products Managers

Staff Specialists (IT, distribution, procurement, PR, HR)

• Problems with Scorers: May be always optimistic/pessimistic (easy or hard grader)

May be "moody" (alternately optimistic and pessimistic)

May always score neutral

May be less reliable or accurate

May be easily swayed by the group

May be erratic or subject to “halo effect”

May lack detailed input

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IRI Scoring Model

Technical success factors:

• Proprietary Position• Competencies/Skills• Technical Complexity

• Access to and Effective Use of External Technology

• Manufacturing Capability

Commercial success factors:

• Customer/Market Need

• Market/Brand Recognition

• Channels to Market

• Customer Strength

• Raw Materials/Components Supply

• Safety, Health and Environmental Risks

Source: John Davis, Alan Fusfield, Eric Scriven, and Gary Tritle, “Determining a Project’s Probability of Success,” Research-Technology Management, May-June 2001, pp. 51-57.

Figure 10.5

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Alternatives to the Full Screen

• Profile Sheet

• Empirical Model

• Expert Systems

• Analytic Hierarchy Process

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A Profile SheetFigure 10.6

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Empirical Screening Model

(This example is based on Project NewProd database.)

Eight Significant Factors

• Product superiority• Overall firm/resource compatibility• Market need, growth, and size• Economic advantage of product to end user• Technological resource compatibility• Product scope (mass vs. narrow specialty)• Market competitiveness (-)• Newness to the firm (-)

Figure 10.7

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Items Constituting the First Factor

Factor One: Product Superiority

1. Product is superior.

2. Product has unique feature.

3. Product is higher quality.

4. Product does unique task.

5. Product cuts user's costs.

6. Product is first of kind.

(There are about six items constituting each of the other factors as well.)

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Sample Items on Other Factors

Factor Two: Overall Company Project Fit

Good fit in terms of managerial, marketing, engineering skills; financial, R&D, production resources

Factor Three: Market Need, Growth and Size

High need level by customers for this product class

Large, fast-growing market

Factor Four: Economic Advantage to User

Product reduces customer’s costs

Product is priced lower than competitors

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Sample Items on Other Factors

Factor Five: Newness to the Firm

New product class, customer need served, technology, production process, sales force or distribution

Factor Six: Technological Capability

Good fit in terms of R&D and engineering resources

Factor Seven: Market Competitiveness

Intense price competition, many competitors, many new product introductions, changing user needs

Factor Eight: Product Scope

Market-derived new product idea, not a custom product (has mass appeal), mass market exists for product

Page 17: 1 10-1 McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved

17 10-17 Sample Application of NewProd Screening Model

Factor Mean Evaluation Impact

Project Superiority 1.19 POSITIVE

Economic Advantage -0.49 negative

Company-Project Fit -0.16 marginal (-)

Tech. Compatibility -0.19 marginal (-)

Newness to Firm -0.24 marginal (+)

Market Need/Growth/Size 0.88 POSITIVE

Market Competitiveness -1.82 positive

Product Scope 0.90 marginal (+)

Figure 10.8

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Pros and Cons of Project

• Pros– 1. Product Superiority/Quality– 6. Market Need/Growth/Size– 7. Market Competitiveness

• Cons– 2. Economic Advantage to User

• Marginals– 8. Product Scope– 5. Newness to Firm– 4. Technology Compatibility– 3. Overall Company-Project Fit

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Products 1, 2, 3, and 4

Goal: Select Best NPD Project

Market Fit Tech. Fit Dollar Risk Uncertainty

Product Line

Channel

Logistics

Tim ing

Price

Sal es Force

Desi gn

Materials

Suppl y

Mfg. Tech.

Mfg. Tim ing

DifferentialAdvantage

Payof fs

Losses

Unmit igated

Mi tigated

Product Line

Analytic Hierarchy Process (AHP)Figure 10.9

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Compare Relative Importances With Respect to Goal

DOLLAR RISK TECHNICAL FIT MARKET FITUNCERT (1.5) (1.6) (1.3)

DOLLAR RISK 1.6 1.0TECHNICAL FIT (1.4)

Legend: Row element is X times more important than column element unless enclosed in parentheses. Xcan range from 1 to 9. Examples: DOLLAR RISK is 1.5 times more important than UNCERTAINTY;DOLLAR RISK is 1.6 times more important than TECHNICAL FIT.

Partial Input to AHPFigure 10-10

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Ranking of Alternatives:Project Overall WeightP1 0.381 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

P2 0.275 xxxxxxxxxxxxxxxxxxxxxxxxxxxx

P3 0.175 xxxxxxxxxxxxxxxxxx

P4 0.170 xxxxxxxxxxxxxxxxx

Abbreviated Output from AHPFigure 10-11