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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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Factors:

Degree of Fun

Number of People

Affordability

Capability

4 Points

Much

Over 5

Easily

Very

Student's Scores: Skiing

Fun 4

People

Affordability

4

2

Capability

Totals

1

11

A Simple Scoring Model

3 Points

Some

4 to 5

Probably

Good

4

4

Boating

3

4

15

Values

2 Points

Little

2 to 3

Maybe

Some

2

4

Hiking

4

3

13

1 Point

None

Under 2

No

Little

Figure 10.2

Answer: Go boating.

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Source of Scoring Factor Models

Figure 10.3

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A Scoring Model for Full Screen

Figure 10.4

Note: this model only shows a few sample screening factors.

Factor

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...

Score (1-5) Weight Weighted Score

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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

IRI Scoring Model

Figure 10.5

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.

Alternatives to the Full Screen

Profile Sheet

Empirical Model

Expert Systems

Analytic Hierarchy Process

A Profile Sheet

Figure 10.6

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

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.)

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

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

Sample Application of NewProd Screening

Model

Figure 10.8

Factor Mean Evaluation Impact

Project Superiority

Economic Advantage

Company-Project Fit

Tech. Compatibility

Newness to Firm

Market Need/Growth/Size

Market Competitiveness

Product Scope

1.19

-0.49

-0.16

-0.19

-0.24

0.88

-1.82

0.90

POSITIVE negative marginal (-) marginal (-) marginal (+)

POSITIVE positive marginal (+)

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

Analytic Hierarchy Process (AHP)

Figure 10.9

Market Fit

Channel

Logis tic s

Tim ing

P ric e

S al es Force

Goal: S elect Best NPD Project

Tech. Fit

Desi gn

Mat erials

S uppl y

Mf g. Tec h.

Mf g. Tim ing

Diff erential

A dv antage

Dollar Risk

P ay of fs

Los ses

Uncer tainty

Unmit igated

Mi tigat ed

Products 1, 2, 3, and 4

Partial Input to AHP

Figure 10-10

Compare Relative Importances With Respect to Goal

UNCERT

DOLLAR RISK

TECHNICAL FIT

DOLLAR RISK

(1.5)

TECHNICAL FIT

(1.6)

1.6

MARKET FIT

(1.3)

1.0

(1.4)

Legend: Row element is X times more important than column element unless enclosed in parentheses. X can 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.

Abbreviated Output from AHP

Figure 10-11

Ranking of Alternatives:

Project Overall Weight

P1 0.381

P2

P3

P4

0.275

0.175

0.170

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