Posit vs. Qualtrics XM for Strategy and Research

In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.

Incentivized

Qualtrics is a good medium for creating surveys and getting analytics back for it. I think it's easy to learn if you are in the business of creating surveys or if it's part of your studies. It can be a little overwhelming for a brand new user who has never created a survey for the first time. So onboarding could be better.

• The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
• The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
• Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.

Incentivized

• Qualtrics CoreXM is easy to use for quick one-time surveys or for measuring opinions over time
• It's great for sending/managing RSVPs for meetings or other gatherings or to collect important data like Conflict of Interest declarations.
• Qualtrics CoreXM's reporting and crosstab functionality is beefy and gets better all of the time. I'm always amazed at how easy it is to generate reports for sharing my survey response data and research.

Incentivized

• Python integration is newer and still can be rough, especially with when using virtual environments.
• RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
• Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.

Incentivized

• The collaborate feature can be clunky and sometimes we have to remove access and add a person back in for them to see the survey in their lists
• We have a contract through our university and more than one person has created their account in the wrong place, causing some administrative headaches as that is fixed so that we can collaborate on surveys with them.
• I wish it was easier to organize my surveys into folders, there should be a more efficient way to do that.

Incentivized

There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.

Incentivized

I was impressed a couple years ago when two heads of market research at Fortune 500 companies told me about them, and I've been even more impressed with the advancements I've seen in the last year. I like where the company is headed, and I look forward to using them again in a future role.

For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when

Incentivized

All the menus are very user friendly and intuitive. I can always find exactly what I'm looking for and can change anything I need to with ease. All the elements of the survey are adjustable with very little effort and without confusion.

RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses

Incentivized

Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.

Incentivized

Whenever we have had an issue with trying to figure out how to do something (even though the documentation is incredibly well put together) we have asked Qualtrics support and have always received our answer nearly immediately (I think in maybe 10 times, only once did a support person need to call us back). Qualtrics support is dedicated to solving customer issues right, and in the first contact, if at all possible

I still use it. It does everything you need an online survey to do. From heat mapping to complex skip logic and display logic. I use it weekly and it never disappoints

We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.

I like being able to easily integrate new colleagues by simply giving them a log in user name and password

RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.

Incentivized

]Qualtrics] CoreXM is great if you want something that is a little more [long] lasting and impactful than a simple survey engine, but aren't quite ready for something that is a long term sustainable program. I would put [Qualtrics] CoreXM squarely in the large, defined project phase. CX is more of the program phase, and other lessor vendors are great for the pre-project definition phase

Incentivized

RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.

Incentivized

• Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
• Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
• What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).

Incentivized

• Increased productivity due to the highly intuitive user-interface and template saving capabilities.
• Reporting and analytics are extremely valuable. Our team can track responses and share feedback/results extremely quickly.
• If a user has created a great template, they can share to external teams quite easily. It helps other departments!

Incentivized