Transcript Chap010.ppt
110-1 McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved. 210-2 CHAPTER TEN THE FULL SCREEN 310-3 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. 410-4 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. 510-5 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 610-6 A Simple Scoring Model Factors: Degree of Fun Number of People Affordability Capability Student's Scores: Fun People Affordability Capability Totals 4 Points Much Over 5 Easily Very Skiing 4 4 2 1 11 3 Points Some 4 to 5 Probably Good Boating 3 4 4 4 15 Answer: Go boating. Values 2 Points Little 2 to 3 Maybe Some Hiking 4 2 4 3 13 1 Point None Under 2 No Little Figure 10.2 710-7 Source of Scoring Factor Models Figure 10.3 810-8 A Scoring Model for Full Screen Figure 10.4 Note: 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... 910-9 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 10-10 10 IRI Scoring Model Figure 10.5 Technical success factors: Commercial success factors: • • • • Proprietary Position Competencies/Skills Technical Complexity Access to and Effective Use of External Technology • Manufacturing Capability • • • • • 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. 10-11 11 Alternatives to the Full Screen • Profile Sheet • Empirical Model • Expert Systems • Analytic Hierarchy Process 10-12 12 A Profile Sheet Figure 10.6 10-13 13 Empirical Screening Model Figure 10.7 (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 (-) 10-14 14 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.) 10-15 15 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 10-16 16 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 10-17 17 Sample Application of NewProd Screening Model Figure 10.8 Factor Mean Evaluation 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 Impact POSITIVE negative marginal (-) marginal (-) marginal (+) POSITIVE positive marginal (+) 10-18 18 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 10-19 19 Analytic Hierarchy Process (AHP) Figure 10.9 Goal: Select Best NPD Project Market Fit Tech. Fit Dollar Risk Uncer tainty Prod P roduc u ct tLi Line ne Desi gn P ay of fs Unmit igated Channel Mat erials Los ses Mi tigat ed Logis tic s S uppl y Tim ing Mf g. Tec h. P ric e Mf g. Tim ing S al es Force Diff erential A dv antage Products 1, 2, 3, and 4 10-20 20 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. 10-21 21 Abbreviated Output from AHP Ranking of Alternatives: Project Overall Weight P1 0.381 P2 0.275 P3 0.175 P4 0.170 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxx Figure 10-11