Q Research Software
Q Research Software
Q Research Software
Overview
What is Q Research Software?
Q Research Software, a division of Displayr, offers a predictive analytics application for marketers, designed to be easier to use by automating correct statistical to use, drag-and-drop interface for building models, and the ability to read many types of files...
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Pricing
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Product Details
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What is Q Research Software?
Q Research Software, a division of Displayr, offers a predictive analytics application for marketers, designed to be easier to use by automating correct statistical to use, drag-and-drop interface for building models, and the ability to read many types of files (e.g. SPSS data files) and able to output the desired file type for presentation, with graphics.
Q Research Software Video
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Q Research Software Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
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Reviews
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August 19, 2021
Couldn't do my job without it
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).
- 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
- 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
- Tabulated data that can be easily manipulated
- Automated significance testing
- Coding of open-ended responses
- Time saving - not exaggerating when I say we can do at least 10x the amount of analysis than we could without it
- More thorough insights obtained from our data sets
- Makes data engaging to other stakeholders
We still use Excel in order to use Q, but all the analysis happens in Q. No need to learn formulas or reformat spreadsheets. Q does all the heavy lifting.