final exam Flashcards

1
Q

The kind of new product testing done to see if label changes make a difference

A

Shelf Test

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2
Q

The first thing that should be done in terms of data analysis once you know your data is clean

A

Look at it!!! …. thru marginals and histograms to develop hypotheses

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3
Q

What we call it when we regroup data for a superior analysis

A

aggregating/collapsing the data

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4
Q

3 important metrics for name testing and 1 often used that shouldn’t be

A
  1. The descriptive power of name
  2. likeability/appeal
  3. brandable/differentiation
  4. Shouldn’t ask: How well does it fit in with the brand
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5
Q

A good approach to ensure concepts don’t get too vertical too quickly

A

Design of Experiments

  • see how multiple benefits might pair with multiple reasons to believe and problem statements
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6
Q

Why benchmarks or norms are important in concept testing

A

to know whether your innovation is truly a step forward and worthwhile to pursue

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7
Q

Major differences between a concept and an adcept

A

**Imagery, Pricing, Headlines/Taglines

  • Make it more like an advertisement

Commercialization → always use images to look like a print line, taglines

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8
Q

4 main elements of a concept

A
  1. Belief /Problem (issue)
  2. Core Benefit (what it solves)
  3. Reasons to Believe (how my product solves it for you)
  4. So what
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9
Q

Preferred minimum sample size for late-stage concepts

A

150-200
- You have enough sample to see if people like the concept

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10
Q

Primary reason to use Perceptual Mapping in Innovation Testing

A

To understand where current product/brand sits in customers’ minds vs. alternatives - what space is “owned.”

See the strengths and weaknesses in a product and how it is positioned in the marketplace

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11
Q

Primary reason to MaxDiff in innovation testing

A
  • To trade off many ideas
  • Get rank order
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12
Q

Not the life of an aesthetic, but what we call testing concepts across independent samples

A

Monadic (“monatic life”)

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13
Q

4 key stages in innovation process

A
  1. Market scan
  2. identify needs
  3. Generate the idea to close the gap
  4. Concept testing

This is AKA: scan, need, idea, concept testing → snic

Need to understand what each of the idea of what they all mean!!

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14
Q

5 innovative elements to improve a product, other than the product itself

A
  1. Adding other options/features –> customization
  2. new use
  3. Packaging
  4. Jingles
  5. pricing
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15
Q

3 impediments to innovation (why companies don’t get started)

A
  • When other companies copy an already-established product
  • Short product lifecycle
  • cost
  • Idea shortage (don’t have any good ideas)
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16
Q

3 reasons new products fails

A
  1. Doesn’t fit into market
  2. Poor design
  3. Poor marketing execution
  4. Fast competitive reaction
  5. high cost
  6. Overchampioning (someone in corporation think it will go well but they don’t listen to the data)
17
Q

Classic case of when you should use the median instead of the mean to describe data

A

when outliers skew the mean

18
Q

Classic case of when you should use the median instead of the mean to describe data

A

When you have outlined data that can skew the mean

19
Q

The two major groupings of statistical procedures

A

inferential (correlation; relationships) and descriptive (describing extra data)

20
Q

major test to see if observed frequencies differ from expected frequencies

A

chi-square test

21
Q

What we call it when one data element moves in a similar direction to another

A

correlation