A wide range of businesses need workers to enter various data into their systems, whether that data are used to track inventory or shipments, create business plans, or measure performance or output. And since a computer and typing skills are the most important requirements for this job, many data entry workers are able to work at home, and on a schedule that fits their lives.
With one of the lowest cash limits in the industry, you can get $10 out when you have accrued just 100 points. If you want to take your earnings in the form of a giftcard, the threshold is even lower, as you just need 50 points, equivalent to $5. Many other survey sites will only pay out after you earn much more, like $50. As with all good survey sites, Opinion Outpost allows you to take your earnings away in vouchers for big firms like Amazon or iTunes, or if you prefer money, to do so through Paypal. As well as paying out early Opinion Outpost also pays extremely quickly, often the same day or in some cases, immediately.
Typeform lets you create surveys using conversational data collection methods evocative of a real-life interviewer. Typeform will feed your survey-taker a question and, based on their response, feed them one of several follow-up questions that ensure a natural progression, avoiding the “just check the next box” feeling that accompanies so many surveys.
To avoid any confusion, I want to make it clear first that virtual assistant work is not always non-phone, but it can be. Virtual assistants tend to do a little bit of everything, just depending on their skills/expertise. So if you are good at various non-phone tasks (social media marketing/moderation, writing, graphic design, research etc.), then you may be able to do work for some of the companies below putting those non-phone skills to work.
The biggest draw of taking online surveys is that you can take these surveys whenever it’s convenient to you. You decide when and where you take these surveys. All you need is a laptop or mobile device that can connect to the Internet. So relax and take some surveys while enjoying your favourite café or in front of the tv when the kids are asleep, it’s up to you! And best of all - you’ll get paid for it.
They claim to also offer paid product testing opportunities. But it’s not really paid product testing, but more of getting cash back. Basically, besides surveys, you can purchase products and services through their portal and earn a certain amount of cash back for every dollar you spend. If you were going to buy something already, it’s a great way to get some of the cash back. But don’t just buy something because of the cashback.
Looking for a survey tool you can run on your own server? LimeSurvey is the app for you. It's an open-source survey project that lets you build detailed surveys, host them on your own, or embed them in Drupal or WordPress sites. Surveys have just about any feature you could want, though you'll have to dig through menus to set them up, add question sections, and then tack on individual questions.
Like most work-at-home jobs, the amount of money you make depends on your experience level and any specialties you may have. According to Salary.com, annual salaries for technical support representatives range from roughly $29,600 to $43,300 with a median salary of $34,400 a year. That breaks down to about $16.50 an hour, but again this figure varies widely.
The concept of data mining and profiting off that data mining isn't anything new. And while some companies engage in some rather disreputable practices to do this, Global Test Market seems to be doing just fine with the whole “consent to disclose” thing. More importantly, in some cases this may help you as some companies will offer to do more specialized product testing once they've identified you as their target demographic.
Define the research question: This is critically important to the success of a survey research project. Without a clearly defined question, it is difficult to determine the best approach for conducting the survey. For example, based on the research question, are the needed data exploratory, descriptive, or causal? The answer to this basic question has huge implications for the entire research process, yet it is often not directly addressed.