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Product analysis is conducted by potential buyers, by product managers attempting to understand competitors and by third party reviewers. [1] [2] Product analysis can also be used as part of product design to convert a high-level product description into project deliverables and requirements.
The weighted product model (WPM) is a popular multi-criteria decision analysis (MCDA) / multi-criteria decision making (MCDM) method. It is similar to the weighted sum model (WSM) in that it produces a simple score, but has the very important advantage of overcoming the issue of 'adding apples and pears' i.e. adding together quantities measured in different units.
The growth–share matrix [2] (also known as the product portfolio matrix, [3] Boston Box, BCG-matrix, Boston matrix, Boston Consulting Group portfolio analysis and portfolio diagram) is a matrix used to help corporations to analyze their business units, that is, their product lines.
For example, some customers prefer high-tech products, while others prefer the basic model of a product and will be dissatisfied if a product has too many extra features. [1] Examples: In a callcenter, using a lot of jargon, using excessive pleasantries, or using excessive scripts while talking to customers might be off-putting for them.
Most products fall into the search goods category (e.g. clothing, office stationery, home furnishings). Experience goods: those that can be accurately evaluated only after the product has been purchased and experienced. Many personal services fall into this category (e.g. restaurant, hairdresser, beauty salon, theme park, travel, holiday).
Example of a product breakdown structure of a computer. The diagrammatic representation of project outputs shown provides an example of a clear and unambiguous statement of what the project is to deliver.
The concept of a core product originates from Philip Kotler, in his 1967 book – Marketing Management: Analysis, Planning and Control. [2] It forms the first level of the concept of Three Levels of a Product. Kotler suggested that products can be divided into three levels: core product, actual product and augmented product. [3]
Example choice-based conjoint analysis survey with application to marketing (investigating preferences in ice-cream) Conjoint analysis is a survey-based statistical technique used in market research that helps determine how people value different attributes (feature, function, benefits) that make up an individual product or service.