What do you like best?
It's not SPSS. I've tried more or less the full set of survey analysis tools - from the basic cross tab tools like Survey Reporter and MarketSight to the infinitely more complex and powerful R, and of course the standard SPSS which tries to do both and fails at doing either. Q is much better than all of them for the vast majority of tasks in survey analysis.
It's just very clear from the beginning that Q was designed to do what you expect a survey analysis tool to do, to the point where everything else looks clunky and unusable. It's especially well built for tracking studies (or similar projects with different iterations i.e. a repeat among a different audience, or a different attempt at the same research question), but it is great for complex one-off studies too.
Data cleaning, data transformation, data design, data analysis, data outputs - all much better than their competitors, with the exception of R and data analysis. And since Q integrated R into its platform it blows everything else out of the water. The best thing in truth is probably how it links up with Excel and PowerPoint - you can basically watch it do the job of a Research Assistant, quicker and more accurately, right in front of your eyes with a couple of clicks. But it's all great.
What do you dislike?
The visualisations are seriously retro. If the guys that run Q and Displayr can nail that part of things down - making the default chart templates look clean and professional, while giving the advanced visualisations a genuine wow factor - then they're on track to being the industry standard.
As it is they are the best out there but data vis is the direction the industry is going in, and so far none of the survey analysis tools have been able to do it well - including Q. I'd be uncomfortable sharing them with anyone in my own company never mind with clients.
You can do some really cool things in R but you need serious technical knowledge to do so. The best thing about Q is it's designed to make everything you need easily accessible. Soon enough data vis will go from being a nice to have to an absolute essential and I hope the folks here lead the charge!
Recommendations to others considering the product
If you spend even a few hours a week looking at survey data, and you already pay for any other specialist software to do so, it's time to switch. This will free up your time to do the fun parts of survey analysis, and it'll make those fun parts more reliable, more accessible and more powerful for anyone that subsequently uses the data.
What business problems are you solving with the product? What benefits have you realized?
Ultimately it just allows you to share your data with more people, more easily, and provide them with a better version of it. Which subsequently means they can spend more time thinking about and executing more interesting things, to derive real insight and drive decisions. It alone elevates the value of any research conducted via surveys, and research is as valuable as ever.
It's improved everything from efficiency to transparency to quality in the survey analysis element of my role. Surveys are still used too often in the industry for my liking, but that is the reality, and Q is simply the best for it. It gets rid of so many of the mundane components of survey analysis from data checking to data inputting, on a huge scale.
Without Q about 40% of my workload would be very manual, mundane data checking processes, and inevitably some of it would be wrong. Q cuts that down to about 10% and the accuracy and transparency in the process is much higher. That time is then spent thinking about bigger things - what data do we need, how can we extract the most value out of it and how can it be shared best with the people who need it most. Most of which Q helps with too. Which then leaves a bit more time for free-form thinking and innovative solutions on a larger scale, which is more valuable than ever.