Collecting high-quality data is crucial to making strategic observations about your customers. Researchers have to consider the best ways to design their surveys and then how to increase survey completion, because it makes the data more reliable.
I’m going to explain how survey completion plays into the reliability of data. Then, we’ll get into how to calculate your survey completion rate versus the number of questions you ask. Finally, I’ll offer some tips to help you increase survey completion rates.
My goal is to make your data-driven decisions more accurate and effective. And just for fun, I’ll use cats in the examples because mine won’t stop walking across my keyboard.
Why Measure Survey Completion
Let’s set the scene: We’re inside a laboratory with a group of cat researchers. They’re wearing little white coats and goggles — and they desperately want to know what other cats think of various fish.
They’ve written up a 10-question survey and invited 100 cats from all socioeconomic rungs — rough and hungry alley cats all the way up to the ones that thrice daily enjoy their Fancy Feast from a crystal dish.
Now, survey completion rates are measured with two metrics: response rate and completion rate. Combining those metrics determines what percentage, out of all 100 cats, finished the entire survey. If all 100 give their full report on how delicious fish is, you’d achieve 100% survey completion and know that your information is as accurate as possible.
But the truth is, nobody achieves 100% survey completion, not even golden retrievers.
With this in mind, here’s how it plays out:
- Let’s say 10 cats never show up for the survey because they were sleeping.
- Of the 90 cats that started the survey, only 25 got through a few questions. Then, they wandered off to knock over drinks.
- Thus, 90 cats gave some level of response, and 65 completed the survey (90 – 25 = 65).
- Unfortunately, those 25 cats who only partially completed the survey had…
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