Couldn't do my job without it
Use Cases and Deployment Scope
Q is used within our Research team. We use it help us crunch surveys, web analytics and results from user testing studies we regularly run. It allows us to run a range of analysis in super-quick fashion meaning we can delivery more research and value than if we had to analyse using only Excel (too basic and not user friendly) or SPSS (too complex and expensive).
Pros
- Produces really easy to view tables
- Automatically applies significance testing to data, helping the user spot trends
- Create and insert your own variables and filters to help manipulate the data
Cons
- The pricing model is a little restrictive for smaller teams that only really need one license but have to buy a 2nd to help out modest users/users learning the ropes.
- Learning the basics can take quite a bit of time but they offer plenty of free resources that help you through it step-by-step
- Too be honest, I don't have too many complaints
Likelihood to Recommend
We use Q for quantitative data. If you know what you are doing it can still take a bit of time to manipulate your data into the most suitable format for the software to help you. But it is time well spent because once it's set up, Q makes the analysis a breeze. We use it for producing data tables, word clouds, significance testing, audience segmentation and coding of open-responses.
