Chapter 6 Flashcards

(50 cards)

1
Q

Q: What are the three sequential types of product attributes?

A

A: Features → Functions → Benefits.

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2
Q

Q: Why is “a product is nothing but attributes” a useful mindset?

A

A: Because any product can be fully described—and re-imagined—by modifying its attribute set.

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3
Q

Q: Definition — Analytical attribute techniques

A

A: Methods that create or judge new concepts by changing, adding, or combining product attributes.

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4
Q

Q: Definition — Perceptual gap analysis

A

A: Mapping how customers perceive products vs. their ideal, revealing unfilled market spaces (gaps).

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5
Q

Q: Name two ways to build a gap map.

A

A: Determinant gap map (manager judgment) or perceptual gap map (customer attribute ratings).

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6
Q

Q: What is a determinant attribute?

A

A: An attribute that is both differentiating and important in purchase decisions.

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7
Q

Q: One advantage and one disadvantage of a managerial determinant map?

A

Advantage: fast & cheap. Disadvantage: relies purely on management’s perceptions.

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8
Q

Q: Which statistical tool often underlies customer-based perceptual maps?

A

A: Factor analysis of attribute-rating data.

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9
Q

Q: Definition — Trade-off (conjoint) analysis

A

A: A technique that uncovers which attribute bundles customers prefer by forcing choices among profiles.

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10
Q

Q: Why is conjoint popular in B2B product design?

A

A: Business buyers make rational, attribute-by-attribute trade-offs, which conjoint quantifies.

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11
Q

Q: Give two guidelines before running a conjoint study.

A

A: Know the determinant attributes first; choose respondents familiar with the category.

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12
Q

Q: Definition — Full-profile conjoint

A

A: Showing respondents all feasible combinations of attribute levels instead of partial designs.

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13
Q

Q: Definition — Dimensional analysis

A

A: Listing every physical or functional feature of a product to spark ideas by adding, deleting, or altering.

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14
Q

Q: What makes dimensional analysis “challenging” despite its simplicity?

A

A: The best insights often hide in features the product currently doesn’t have.

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15
Q

Q: Name four pairs of checklist prompts that generate concepts.

A

A: Adapt / substitute, modify / magnify, reverse / minify, combine / rearrange.

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16
Q

Q: How does analogy fuel ideation?

A

Q: How does analogy fuel ideation?

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17
Q

Q: Definition — Value curve creation (Blue-Ocean style)

A

Value curve creation is a strategic tool used to rethink a product’s value proposition by adjusting its key attributes—reducing, eliminating, raising, or creating features—to stand out in the market and deliver unique customer value.

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18
Q

Q: What question does the “Reduce” axis of the value curve ask?

A

A: “Which attributes can we cut back below the industry standard?”

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19
Q

Q: List the four types of product enhancements.

A

A: Upgrades, add-ons, extras, accessories.

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20
Q

A: Upgrades, add-ons, extras, accessories.

A

A: Upgrades = vertical segmentation (quality tiers); add-ons = horizontal (variety/customization).

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21
Q

Q: Definition — TRIZ

A

TRIZ is a structured method for solving difficult technical problems by applying patterns from past inventions—instead of relying only on brainstorming or trial-and-error.

Key ideas:
Most problems have been solved somewhere before, just in a different industry or context.

22
Q

Q: Give one benefit of TRIZ for product developers.

A

A: It suggests surprising attribute changes that resolve apparent trade-offs.

23
Q

Q: Why combine qualitative tools (e.g., dimensional analysis) with quantitative ones (gap/conjoint)?

A

A: Early creativity benefits from open-ended methods; later screening needs hard numbers.

24
Q

Feature

25
Function
– What it does (e.g., withstands 10 m drop).
26
Benefit
Why the user cares (e.g., peace of mind).
27
Gap map
Visual plot of product perceptions vs. competition.
28
Determinant map
Manager-chosen attribute grid.
29
Factor analysis
Factor analysis is a statistical technique used to reduce a large set of variables (like product attributes) into a smaller number of underlying factors that explain patterns in customer perceptions or responses. In short: It finds out which attributes "go together" so you can map or group them more simply.
29
Manager-chosen attribute grid.
Data-driven attribute grid.
30
Trade-off matrix
Trade-off matrix is a tool used to compare different combinations of product attributes and see how customers make choices between them, especially when improving one feature means sacrificing another. Table of attribute levels used in conjoint.
30
Utility score
Number indicating how much a respondent likes an attribute level.
31
Attribute bundle
Specific combination of feature levels.
32
Vertical segmentation
is the practice of dividing a market based on product quality and price levels
33
Horizontal segmentation
Horizontal segmentation is the practice of offering different versions of a product at the same price and quality level, to appeal to different tastes, preferences, or use-cases—not different budgets. Variety at similar price/quality.
34
Upgrade
Higher-spec core product.
35
Add-on
Extra purchased option or module.
36
Extra
: a bonus feature or benefit added to a product that appeals to high-usage or loyal customers, often as a reward or incentive.
37
Accessory
Stand-alone complementary product.
38
Eliminate
Drop attribute entirely.
39
Reduce (value curve)
Lower attribute below norm.
40
Raise
Boost attribute above norm.
41
Create
Introduce brand-new attribute.
42
Dimensional gap
Missing feature uncovered by dimensional analysis.
43
Checklist prompt
Standard question to spark attribute change.
44
Attribute surfacing
Exposing hidden or implicit product features.
44
Analogy trigger
Cross-domain comparison for insight.
45
Perceptual gap
Distance between current product position and ideal point.
46
Perceptual gap
Showing all attribute combinations.
47
TRIZ contradiction
Pair of opposing requirements resolved by inventive principle.