Item: Q Research Software
Rating: 10
Author: Alex Jones

Overall Satisfaction with Q Research Software

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 and Cons

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

Most Important Features

Tabulated data that can be easily manipulated
Automated significance testing
Coding of open-ended responses

Return on Investment

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

Alternatives Considered

Microsoft Excel

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.

Key Insights

Do you think Q Research Software delivers good value for the price?

Yes

Are you happy with Q Research Software's feature set?

Yes

Did Q Research Software live up to sales and marketing promises?

Yes

Did implementation of Q Research Software go as expected?

Yes

Would you buy Q Research Software again?

Yes

Other Software Used

Microsoft Teams, Microsoft 365 (formerly Office 365), UserZoom

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.

Comments

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Couldn't do my job without it