When I finally did user interviews, I uncovered that an unusually high amount of people have “travel funds”: separate bank accounts they use for travel. I ran a statistically significant survey for the United States. I found that more than 25 million adults in the U.S. use a separate bank account for travel, but almost no one I talked to had automated and optimized their process for transferring money into and out of their travel fund.
That's surprising. I would have suspected that more than 75% pay for their travel on a credit card. They decide to travel first, then pay for whatever piles up later. Or maybe they just let the balance accrue.
How did you conduct a "statistically significant survey" on this for the US? Maybe there's a startup idea there.
I used Google Surveys which handles the cleaning of responses for representative sampling for U.S. 1,500 people took the survey but only 1,128 were recorded after cleaning.
Typically this just means the naive approach: 385 or so people assumed to be randomly sampled, which yields results at 95% confidence with a 5% margin of error.
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That's surprising. I would have suspected that more than 75% pay for their travel on a credit card. They decide to travel first, then pay for whatever piles up later. Or maybe they just let the balance accrue.
How did you conduct a "statistically significant survey" on this for the US? Maybe there's a startup idea there.
I used Google Surveys which handles the cleaning of responses for representative sampling for U.S. 1,500 people took the survey but only 1,128 were recorded after cleaning.
Typically this just means the naive approach: 385 or so people assumed to be randomly sampled, which yields results at 95% confidence with a 5% margin of error.