American Customer Satisfaction Index - ACSI

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SurveyAnalytics Conjoint Module

Conjoint analysis is used to study the factors that influence customers, purchasing decisions. Products possess attributes such as price, color, ingredients, guarantee, environmental impact, predicted reliability and so on. Conjoint analysis is based on a main effects analysis-of-variance model. Subjects provide data about their preferences for hypothetical products defined by attribute combinations. Conjoint analysis decomposes the judgment data into components, based on qualitative attributes of the products. A numerical part-worth utility value is computed for each level of each attribute. Large part-worth utilities are assigned to the most preferred levels, and small part-worth utilities are assigned to the least preferred levels. The attributes with the largest part-worth utility range are considered the most important in predicting preference. Conjoint analysis is a statistical model with an error term and a loss function.

With SurveyAnalytics's Conjoint module you can collect the data and simulate it through our conjoint simulator. Where in you may ask the respondent to arrange a list of combinatios of product attributes in decreasing order of preference. Once this ranking is obtained, you can use our advance simulator to simulate the data that will give you graphical representatio of your data. This method is efficient in the sense that the survey does not need to be conducted using every possible combination of attributes. The utilities can be determined using a subset of possible attribute combinations. From these results one can predict the desirability of the combinations that were not tested.

Conjoint Analysis FAQ

What tools does the Conjoint Analysis offering include?

The SurveyAnalytics Conjoint Analysis offering includes the following tools:

  1. Conjoint Task Creation Wizard

    Wizard based interface to create Conjoint Tasks based on simply entering Features(Attributes) and Levels for each of the features.
  2. Conjoint Design Parameters

    Tweak your design but choosing the number of tasks, number of profiles per task as well as "Not-Applicable" option.
  3. Utility Calculation

    Automatically calculates utilities.
  4. Relative Importance

    Automatically calculates relative importance of attributes (based on utilities)
  5. Cross/Segmentation and Filtering

    Filter the data based on criteria and then run Relative Importance calculations.

How to add a conjoint question?

  • Under Edit Survey click on the Add New Question link and select the Conjoint (Discrete Choice) Option from under Add-On Modules.

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  • Enter the features and levels.

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  • On the survey the selection options will display as below:

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Where can I view Reports for Conjoint Questions?

  • Go To:
    • $crumb.fullText

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  • Here you can view the online conjoint analysis reports.

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  • You can download the data in Excel/CSV or HTML format.

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Can I try out the software before buying?

Due to complex nature of the analysis and the level of expertise required to support such an offering, unfortunately we cannot provide free trials. However, SurveyAnalytics will provide a pro-rated refund of fees paid if SurveyAnalytics tools do not function as advertised and explained.

Will I have a dedicated person within SurveyAnalytics to talk/email whenever I have questions on the Conjoint tools?

Yes - This will be part of the hourly support fee. While we cannot guarantee that our Conjoint support staff will be available for you 24x7, we will strive to return/answer emails by the same business day. In some cases it may take up to five business days to give detailed explanation and answers.

Does Conjoint Analysis come with Unlimited 24x7 Support?

No - Our standard Unlimited 24x7 support is for Online Surveys, not Conjoint Analysis. As explained in the previous question, a dedicated and knowledgeable staff of SurveyAnalytics will be assigned to you. You will be able to call/email him/her to answer your conjoint questions. All our Conjoint support staff are located in the United States and are generally available 9AM-5PM PST.

American Customer Satisfaction Index - ACSI

The American Customer Satisfaction Index uses customer interviews as input to a multi-equation econometric model developed at the University of Michigan's Ross School of Business. The ACSI model is a cause-and-effect model with indices for drivers of satisfaction on the left side (customer expectations, perceived quality, and perceived value), satisfaction (ACSI) in the center, and outcomes of satisfaction on the right side (customer complaints and customer loyalty, including customer retention and price tolerance). The questions assess customer evaluations of the determinants of each index. Indexes are reported on a 0 to 100 scale. The survey and modeling methodology quantifies the strength of the effect of the index on the left to the one to which the arrow points on the right. Looking at the indexes and impacts, users can determine which drivers of satisfaction, if improved, would have the most effect on customer loyalty.

  • Customer Expectations
  • Perceived Quality
  • Perceived Value
  • Customer Complaints
  • Customer Loyalty


SurveyAnalytics is a web based service for conducting online surveys. The process is simple using SurveyAnalytics's online survey software:
  • Build your survey using the intuitive wizard interface.
  • Send invitations using the integrated email system.
  • View your reports online automatically.
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