Posts Tagged: Coding survey responses

Actionable insights: can data analysis software deliver them?

When it comes to making sense of data, getting actionable insights is the holy grail. But what does this even mean? When is a finding an insight? When is an insight actionable? Can data analysis deliver them? Let’s get to the bottom of this by looking at some examples. Imagine, you have conducted a survey of 100,000 students, and you seek actionable insights for what to improve at a university. Non-insightful vs. Insightful Knowledge Non-insightful…

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The rise and fall of open-ended questions

Recently I had an interesting discussion with Ron Stroeven, one the founders of Infotools, about open-enders, short for open-ended questions. In 1990 Infotools was established, but Ron has worked in market research far longer than that. He has a wealth of experience in survey design and data analysis, so it was fascinating to hear his view on open-enders, their history, and future.

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Why most customer feedback analysis tools suck and how to fix this

They collect scores into pretty dashboards, but don’t actually tell what the feedback is or how to achieve customer loyalty. Customer feedback analysis tools are all the rage, but most of them suck. If you ever left a review yourself, you will know that your score is not nearly as valuable as the review itself. Think about it: as a business, how useful is the average of 100 scores compared to 10 customer comments on…

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How to Measure Accuracy of Coding Survey Responses

In this article, we explain how to evaluate the accuracy of coding survey responses. Whether coding is manual or automated, we recommend using the same method and explain here how it works in practice. Why measuring the accuracy of coding matters Responses to open-ended questions in surveys are full of valuable insight, but they need to be coded because of how diverse our language is. Traditionally coding is done by people, which has several disadvantages: 1. People are…

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Customer Experience Update