When I studied quantitative surveys and data analysis in university, I learned the biggest flaw analysts can do is add bias to surveys to inadvertently sway the results. A carefully constructed survey attempts to remove bias the survey maker may introduce. A quick and easy way to do this is to add an 'other' choice for respondents to choose if they don't feel the suggested options don't suit them. And in this way, survey makers can validate the veracity of their survey. If many respondents choose 'other' then the survey maker knows their survey is flawed and likely inadvertently biased. Your survey is effectively forcing respondents down very narrow options and giving no opportunity to deviate from how you want them to respond. That's not good for accuracy of research standpoint.