When it comes to collecting numeric ratings in online surveys, there is a definite allure to using sliders rather than the more common numeric scales with radio buttons. It just seems like you should get higher-quality measurements with sliders. Sliders give respondents many more response options, and they appear more engaging than multipoint scales. The
If you build it, they will come. That may work for a field of dreams. But when it comes to software and products, if you want people to stay and use the product, it had better be useful and usable. Or, at least, the users should think that it will be useful and usable. That’s
What makes a product successful? How does a new technology get adopted? Whether business software, a mobile app, or a physical product, there are plenty of examples of products that had a lot of promise but failed, and others that many consider a success. Plenty of books expound theories on developing a successful product (e.g.,
Researchers love to argue about the “right” number of points to use in a rating scale response option. Is the right number five, seven, three, ten, or eleven? The opinions often exceed the data for helping drive the decisions. When there are data, they are often hard to generalize, or they don’t really support the
The Net Promoter Score is ubiquitous, with many large organizations using it as a key metric. But despite its widespread adoption, there are vocal critics. It’s been called snake oil, deceptive, fake science, and harmful. In our webinar series and on our website, we’ve addressed several aspects of the NPS, including the enmity toward it.
In a famous Harvard Business Review article published in 2003, Fred Reichheld introduced the Net Promoter Score (NPS). The NPS uses a single likelihood-to-recommend (LTR) question (“How likely is it that you would recommend our company to a friend or colleague?”) with 11 scale steps from 0 (Not at all likely) to 10 (Extremely likely).
Sample size estimation is a critical step in research planning. It can also seem like a mysterious and at times controversial process. But sample size estimation, when done correctly, is based mostly on math, not magic. The challenge is that the math can get complex, so it becomes easier to defer to simple rules or
When we wrote Quantifying the User Experience, we put confidence intervals before tests of statistical significance. We generally find fluency with confidence intervals to be easier to achieve and of more value than with formal hypothesis testing. We also teach confidence intervals in our workshops on statistical methods. Most people, even non-researchers, have been exposed
Despite the ease with which you can create surveys using software like our MUIQ platform, selecting specific questions and response options can be a bit more involved. Most surveys contain a mix of closed-ended (often rating scales) and open-ended questions. We’ve previously discussed 15 types of common rating scales and have published numerous articles in
Sliders are a type of visual analog scale that can be used with many online survey tools such as our MUIQ platform. The literature on their overall effectiveness is mixed (Roster et al., 2015). On the positive side, evidence indicates that sliders might be more engaging to respondents. On the negative side, evidence also indicates
