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New Product Development

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Conjoint Analysis. Focus Group Interviews. Exploratory ... Conjoint analysis. Advantages: mimics real decisions, standard metrics, quick and cheap ... – PowerPoint PPT presentation

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Title: New Product Development


1
New Product Development
  • Concept Evaluation

2
Sample Questions
  • Do people think this is a good idea?
  • How much would people be willing to pay?
  • What color should I make it?
  • Would people pay more to get more____?
  • What kinds of people will be most interested?
  • Are there other uses for this product?
  • How often will people buy?
  • How much will they buy?
  • How many people will buy?
  • Which of these three versions should I produce?
  • How much assembly are consumers willing to do
    themselves?
  • How much service will people expect?

3
Techniques
  • Focus Group Interviews
  • Perceptual Mapping
  • Concept Testing
  • Conjoint Analysis

4
Focus Group Interviews
  • Exploratory
  • Insight into ideas, more than generation of ideas
  • Sampling
  • Moderating
  • Generalize insights, not effects!

5
Perceptual Mapping
  • Managerial judgments
  • Insight into market structure
  • Insight into similarities/competition
  • Attribute ratings
  • Specify attributes collect data factor analyze
    present means
  • Overall similarity ratings
  • Collect data mds present positions interpret
    structure

6
Perceptual Mapping Applications
  • Gaps may suggest new product ideas
  • Concept positioning can be assessed
  • Maps can suggest directions for developmentideal
    points

7
Concept Testing
  • Quantitative assessment of a concepts potential
    and potential for improvement
  • What is a product concept?
  • Sample properly
  • Solicit a variety of reactions
  • Be aware of likely biases
  • Measures of trial, not repeat

8
Concept Testing
  • MeasuresPI, frequency, amount, general
    diagnostics, specific attribute responses,
    customer characteristics
  • AnalysisPI, diagnostics, crosstabs

9
  • Example Respondent examines proposed
    concept(s).
  • What is your reaction to the proposed product?
  • Very negative 1 2 3 4 5 6 7 8 9 10 Very
    positive
  • Why so positive or negative?________________
  • How interested are you in the concept?
  • Not at all interested 1 2 3 4 5 Very
    interested
  • Why did you answer as you did?___________________
  • How likely are you to buy this product at a price
    of ___?
  • Definitely not / probably not / maybe / probably
    yes / definitely yes
  • Explain your answer to 5.______________________
  • What are the products main strengths?____________
    _
  • What are the products main weaknesses?___________
    ____

10
  • Additional measures
  • How frequently do you buy this product?
    (categories)
  • When you buy, how much do you buy? (categories)
  • How unique do you find this product?
  • Just like all the rest 1 2 3 4 5 6 7 Very
    unique
  • How believable is this product idea?
  • Impossible to believe 1 2 3 4 5 6 7 Very
    believable

11
More questions
  • How important is this product idea to you?
  • At a price of _____, does this product seem to
    be a good value?
  • How much interest would you have in this product?
  • Do you like (specific attribute)? Not at
    all---very much
  • Where would you expect to purchase this product?
  • Where would you look for information about this
    product?
  • In which of the following situations would you
    use this product?

12
Still more questions
  • In your own words, describe the main idea of the
    product________.
  • Which of the following seems best to describe the
    product
  • (alternative descriptions)
  • Indicate what you believe about each of the
    following product features
  • (attributes, followed by appropriate scales)
  • Respondent characteristics
  • Demographics
  • Product use situations
  • Place of purchase
  • Sources of information
  • Attitudes toward competitive brands

13
Conjoint analysis
  • Advantages mimics real decisions, standard
    metrics, quick and cheap
  • Process
  • Identify attributes and levels
  • Develop an orthogonal array of descriptions
  • Identify sample
  • Collect rating, ranking, or preference data
  • Analyze

14
Conjoint Analysis Why not ask directly about
attributes?
15
Conjoint analysis
  • Output
  • Utility weights, usually 0-1.0
  • Attribute importance scores (range of utility/sum
    of ranges
  • Applications
  • Compare attractiveness of various combinations
  • Identify best product
  • Identify preference segments
  • Analyze cost trade-offs
  • Forecast sales
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