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  2. Customer satisfaction - Wikipedia

    en.wikipedia.org/wiki/Customer_satisfaction

    The study found a 'regression to the mean' effect in customer satisfaction responses, whereby the respondent group who gave unduly low scores in the first survey regressed up toward the mean level in the second, while the group who gave unduly high scores tended to regress downward toward the overall mean level in the second survey.

  3. Customer satisfaction research - Wikipedia

    en.wikipedia.org/wiki/Customer_satisfaction_research

    Many customer satisfaction studies are intentionally or unintentionally only descriptive in nature because they give a snapshot in time of customer attitudes. If the study instrument is administered to groups of customers periodically, then a descriptive picture of customer satisfaction through time can be developed ("tracking" or cohort study).

  4. American Customer Satisfaction Index - Wikipedia

    en.wikipedia.org/wiki/American_Customer...

    Customer satisfaction (ACSI) scores are released monthly throughout each calendar year. ACSI data is used by researchers, [ 1 ] corporations, [ 2 ] [ 3 ] government agencies, [ 4 ] market analysts and investors, [ 5 ] industry trade associations, and consumers.

  5. Mortgage companies that borrowers are most satisfied with ...

    www.aol.com/finance/mortgage-companies-borrowers...

    The study pinpoints areas where consumers are disappointed most. J.D. Power said that in the 2024 analysis, the factors with the most significant year-over-year declines in customer satisfaction were:

  6. Kano model - Wikipedia

    en.wikipedia.org/wiki/Kano_model

    The Kano model is a theory for product development and customer satisfaction developed in the 1980s by Noriaki Kano.This model provides a framework for understanding how different features of a product or service impact customer satisfaction, allowing organizations to prioritize development efforts effectively.

  7. Net promoter score - Wikipedia

    en.wikipedia.org/wiki/Net_promoter_score

    Other researchers have noted that there is no empirical evidence that the "likelihood to recommend" question is a better predictor of business growth than other customer-loyalty questions (e.g., overall satisfaction, likelihood to purchase again, etc.), and that the "likelihood to recommend" question does not measure anything different from ...

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