NEW PRODUCT MANAGEMENT
Chapter 7
Analytical Attribute Approaches:
Trade-Off Analysis and Qualitative Techniques
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Trade-Off (Conjoint) Analysis
- Put the determinant attributes together in combinations or sets.
- Respondents rank these sets in order of preference.
- Conjoint analysis finds the optimal levels of each attribute.
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Conjoint Analysis Input: Salsa Example
Figure 7.2
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Thickness
Spiciness
Color
Actual Ranking*
Ranking as Estimated by Model
Regular
Mild
Red
4
4
Regular
Mild
Green
3
3
Regular
Medium-Hot
Red
10
10
Regular
Medium-Hot
Green
6
8
Regular
Extra-Hot
Red
15
16
Regular
Extra-Hot
Green
16
15
Thick
Mild
Red
2
2
Thick
Mild
Green
1
1
Thick
Medium-Hot
Red
8
6
Thick
Medium-Hot
Green
5
5
Thick
Extra-Hot
Red
13
13
Thick
Extra-Hot
Green
11
11
Extra-Thick
Mild
Red
7
7
Extra-Thick
Mild
Green
9
9
Extra-Thick
Medium-Hot
Red
14
14
Extra-Thick
Medium-Hot
Green
12
12
Extra-Thick
Extra-Hot
Red
17
18
Extra-Thick
Extra-Hot
Green
18
17
* 1 = most preferred, 18 = least preferred.
Regular Thick Ex-Thick
UTILITY
2
1
0
-1
-2
Mild Medium-Hot Ex-Hot
Red Green
Thickness Spiciness Color
0.161 0.913 -1.074 1.667 0.105 -1.774 -0.161 0.161
Conjoint Analysis: Graphical Output
Figure 7.3
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Conjoint Analysis:
Relative Importance of Attributes
0 20 40 60 80 100 %
Spiciness
Thickness
Color
59.8%
34.6%
5.6%
Figure 7.3
(cont’d.)
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Is Conjoint The Right Method?
- Must be able to break the product down into discrete attributes.
- Customer must combine these features rationally when evaluating brands (do you buy a Smart Car because it’s practical and gets good mileage, or because it’s cool?)
- Complex products may have too many attributes to consider – be sure the important ones are selected.
- Purchase occasion not considered.
- Joint decisions not considered (does the husband or wife make the car purchase decision?)
- Assumes some familiarity with the product category; may be less useful for new-to-the-world products.
- Firm must be able to act on the results!
Conjoint Analysis for More Complex Problems
- The above example was a full-profile conjoint analysis (all possible combinations were included).
- For larger problems, a fractional factorial design may be used (not every combination is included, but a subset of the combinations in which each level and each attribute is used at least a few times). Rankings and results are similar to the full-profile analysis.
- More advanced methods are needed for very complex problems, and also to handle interactions among attributes.
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Commercially Available Conjoint Methods
- Advanced conjoint analysis methods available commercially include:
- Adaptive conjoint analysis (respondent judges the importances of the attributes, then responds to options that focus on the most important attributes and levels).
- Choice-based conjoint analysis (the respondent is shown several choices in combination and asked which is preferred)
- Both of these procedures reduce the number of attributes to which the respondent is exposed.
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Virtual Prototypes in Concept Testing
- Information Acceleration (IA): applied by GM to test new electric car concepts.
- Uses virtual buying environment that simulates the information available in a purchase situation.
- Uses surrogate travel technology to allow the customer to virtually walk around the showroom and look at computer-generated car prototypes.
Some Qualitative Attribute Analysis Techniques
- Dimensional Analysis
- Checklists
- Relationships Analysis
- Analogy
- There are many others.
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A Dimensional Attribute List
- Weight
- Rust resistance
- Length
- Color
- Water resistance
- Materials
- Style
- Durability
- Shock resistance
- Heat tolerance
- Explosiveness
- Flammability
- Aroma
- Translucence
- Buoyancy
- Hangability
- Rechargeability
- Flexibility
- Malleability
- Compressibility
Figure 7.4
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An Idea Stimulator Checklist
for Industrial Products
- Can we change the physical/chemical properties of the material?
- Are each of the functions really necessary?
- Can we construct a new model of this?
- Can we change the form of power to make it work better?
- Can standard components be substituted?
- What if the order of the process were changed?
- How might it be made more compact?
- What if it were heat-treated/hardened/cured/plated?
- Who else could use this operation or its output?
- Has every step been computerized as much as possible?
Figure 7.5
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Templates for Creativity
- Attribute Dependency: Find a functional dependency between two attributes. Ex.: color of ink on coffee cup is sensitive to heat and can reveal message if coffee is too hot.
- Replacement: Remove a component and replace with one from another environment. Ex.: antenna is replaced by headphone cord on Walkman.
- Displacement: Remove a component and its function to change the product. Ex.: Removing floppy drives resulted in ultra-thin PCs.
- Component Control: Find a new connection between a component internal to the product and one external to the product. Ex.: Toothpastes with whiteners, suntan lotions with skin moisturizers.
Source: Jacob Goldenberg and David Mazursky, Creativity in Product Innovation, Cambridge University Press, 2002.
Figure 7.6
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Relationships Analysis
- Force combinations of dimensions (features, functions, and benefits) together.
- Techniques:
- Two-dimensional matrix
- Multidimensional (morphological) matrix
- Two-dimensional example: person/animal insured and event insured against.
- Household cleaning products example used six dimensions:
- Instrument used, ingredients used, objects cleaned, type of container, substances removed, texture or form of cleaner
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Another Form of Dimensional Analysis
Two key dimensions for winning new product ideas:
Utility lever: How the product will affect the customer’s life (such as simplicity, fun/image, environmental friendliness, reduced risk, convenience, and productivity).
Buyer’s experience cycle: The stage when/where the product will affect the customer (purchase, delivery, use, supplements, maintenance, disposal).
Source: W. C. Kim and R. Mauborgne, “Knowing a Winning Business Idea When You See One,” Harvard Business Review, Sept.-Oct. 2000, pp. 129-138.
Figure 7.8
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Morphological Matrix:
New Coffee Maker
Heating:
Heating element in pot
Open flame under pot
Microwave unit
Adding Coffee:
By spoon
Built-in measuring cap
Automatic feed
Filtering:
Filtering paper
Porous ceramic filter
Centrifuge method
Keeping Coffee Warm:
Thermal insulating technology
Warming unit in put
External heat source
Pouring Coffee:
Valve under pot
Pump in lid of pot
Espresso-like jets
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Analogy
- Airplane food systems: analogous to preparing, serving and consuming food at home, suggesting adaptations of food processes and furniture.
- Amusement park lines: park designers were inspired by watching cattle being herded.
- Bicycle: analogous to driving a car (steering, moving, turning) but key differences suggesting new types of bicycles (e.g., electric bikes).
Criteria for Selecting Analogous Products
- Analogy should be vivid and have a life of its own.
- It should be full of concrete images.
- It should be a happening – a process of change or activity.
- It should be a well-known activity and easy to visualize and describe.
Other Methods:
Lateral Search Techniques
- Free association
- Stereotype activity
- Lateral thinking -- avoidance
- Creative stimuli words
- Studying “big winners”
- Use of the ridiculous
- Forced relationships
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Lateral Thinking -- Avoidance
Keep an idea from dominating thinking as it always has in the past by asking avoiding questions.
- Ask “Is there another way of looking at this?”
- Ask “Why?”
- Focus on an aspect of the problem other than the “logical” one.
- List all possible alternatives to every aspect of the analysis.
- Break apart aspects (concepts) of the problem, or combine them to create even more concepts.
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Some Creative Stimuli Words
- Guest stars
- Alphabet
- Truth
- Outer space
- Charity
- His and hers
- Style
- Nation
- Family
- Videotape
- Photography
- Testimonials
- Decorate
- Fantasy
- Hobbies
- Holidays
- Weather
- Calendar
- Push button
- Snob appeal
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Use of the Ridiculous
- How can you join two wires together?
- Hold them with your teeth.
- Use chewing gum.
- Can you think of others?
- Do any of these ridiculous ideas suggest a not-so-ridiculous solution?
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Thickness
Spiciness
Color
Actual
Ranking*
Ranking as
Estimated
by Model
Regular
Mild
Red
4
4
Regular
Mild
Green
3
3
Regular
Medium-Hot
Red
10
10
Regular
Medium-Hot
Green
6
8
Regular
Extra-Hot
Red
15
16
Regular
Extra-Hot
Green
16
15
Thick
Mild
Red
2
2
Thick
Mild
Green
1
1
Thick
Medium-Hot
Red
8
6
Thick
Medium-Hot
Green
5
5
Thick
Extra-Hot
Red
13
13
Thick
Extra-Hot
Green
11
11
Extra-Thick
Mild
Red
7
7
Extra-Thick
Mild
Green
9
9
Extra-Thick
Medium-Hot
Red
14
14
Extra-Thick
Medium-Hot
Green
12
12
Extra-Thick
Extra-Hot
Red
17
18
Extra-Thick
Extra-Hot
Green
18
17
* 1 = most preferred, 18 = least preferred.