Topic: research insights


Customer Research: 4 Steps for an ‘Insights First’ Company Culture

When Staples purchased Quill.com in 1998 for $685 million, they knew they were betting on a winner. Within 10 years they grew revenue from $550 million to more than $1 billion. Quill got to be one of Staples’ top performing divisions with customer research and an ‘insights first’ culture. Jim Hall, Quill’s Research Design Manager […]

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Why Survey Design Theory Should Matter to You

The survey is the heart of any survey research project. Whether it’s an intercept survey, a survey of the general population, or a survey of customers or employees, the way you design your survey plays a critical role in shaping the quality of the data and insights that you’ll get.   Because people ask each […]

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Beyond Surveys: 4 More Online Resources for Gathering Market Insights

Making data-driven decisions requires inputs from the market in the form of various data, including customer insights, market data, financial movements, and the like. Qualtrics enables your business to engage both internal and external sources of information. However, apart from surveys, business intelligence (BI) and market insights can also come from various other sources. Business […]

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Survey Speeding, Part 1: Is It Harmful or Harmless?

If you’ve ever looked at completion times for individual questions or an entire questionnaire, you’ve probably noticed that there can be a lot of variation. Some respondents are slower than you expect, some are in your expected range, and some are faster than you expect. If the fast completion times trouble you in particular, you’re […]

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Optimal Scale Labels: Why They Matter

Last week, we discussed how many scale points to use and when. We also noted that you’ll get the best data when you verbally label every point. So, how should you go about labeling them?

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Sources of Error in Survey Research

Survey errors reduce, but don’t necessarily eliminate, our ability to accurately make inference to the larger population. Consequently, understanding survey errors is key to understanding survey data quality.

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