Quantitative

Quantitative research is any type of research resulting in hard data that has a known and measurable range of error and can be projected to an entire population. Survey Research is the typical methodology for quantitative research, and a variety of Analytical Tools can be used to manipulate and better understand quantitative data.

Website Surveys	Email an invitation to your respondents with a link to a sophisticated Website where they complete the questionnaire. Allows for complicated skips, allows them to view materials, such as a Website or collateral.
Email Surveys	Quick, low cost, low tech alternative to Website surveys
Telephone Surveys	Maintain control over sample size and decrease respondent bias and/or question order bias through the use of telephone surveys
Mail Surveys	Obtain low-cost, high-volume coverage through mail surveys utilizing invoice stuffers, shipping carton inserts, post cards, self-mailers, fax, magazine inserts, or disks-by-mail
Intercept Surveys	Conduct in-person intercept surveys for projects where a respondent must view a product or collateral in person, or survey immediately after interaction, such as at the polls
Beta Testing	In-use testing of hardware and software products
Advisory Board/Panel	Establish and regularly survey select group of advisors, typically a group of best customers

Market understanding gap analysis	Identify the difference between what management and customer interface employees believe to be key customer requirements and the actual needs that customers have
Competitive gap analysis	Benchmark your competitive position by measuring gaps between your firm's delivery of customer value and that of your competitors.
Market Trend gap analysis	Define how well your current strategy matches market needs by measuring the gap between market needs and your firm's performance.
Kano Model	Determine what attributes in your market are assumed by customers (expected to be present), which are competitive (expected and actively assessed), and which are "delight" attributes (unexpected).
Correlation analysis	Measurement of extent to which variables move together.
Regression	Measures covariance of factors and provides a model for projecting results based upon incremental observations.
Factor analysis	A data reduction tool for grouping attributes that have similar traits, such as ratings.
Cluster analysis	A means for grouping respondents into categories based upon the similarity of their responses.
AID, CHAID	These analytics allow the researcher to diagram the factors that segment sets of respondents into discrete categories.
Discriminant analysis	This method shows which variables are key in separating respondents into different categories. Often used to project results to extended stimuli, such as direct response.
Time series analysis	These analytical methods measure the significance of changes over time.
Conjoint analysis	Allows researchers to develop an optimal set of product or service features for each respondent, which when analyzed together, provide market penetration estimates for each combination of features (or product concepts).