Benchling’s cloud platform is used by pharmaceutical and biotech companies to analyze complex datasets, streamline research workflows, design DNA using CRISPR gene-editing technology and more.
$0
per month
FluidSurveys (Discontinued)
Score 8.0 out of 10
N/A
FluidSurveys was a survey and form building option. SurveyMonkey discontinued the product, it reached end of life (EOL) December 2017.
Benchling is especially well suited to groups or contexts where there are many users who do not have a coding background but need a seamless and structured approach to data. Benchling is particularly useful in cases where there are data flows from instruments and other devices where the data can be deposited in an automated fashion. It is likely less appropriate or useful to users who are just looking for a general data warehouse solution.
For surveys, and for centralized info-gathering, FluidSurveys provides an excellent solution. There are other programs out there which provide a wider range of solutions (i.e., they can be used for surveying AND comprehensive online engagement, rather than just a data-gathering type of consultation); however, for programming and implementing surveys, FluidSurveys has an effective variety of strengths and options that make it optimal for users who are focused specifically on surveys.
User-friendly. For the majority of the general and basic tools you can use with FluidSurveys to build surveys are simple to use and intuitive. When certain issues come up, the service is quick (chat room) and effective.
Anonymity: the software has the reputation of being safer in terms of safeguarding private information the respondents share by answering surveys (this is mainly due to the fact that the servers are in Canada). Thus, indirectly, they increase response rates.
Extensive possibilities: FluidSurveys offers a plethora of possibilities and options that really renders the experience interesting in terms of micro-managing each details of the surveys you are sending out there. When the invitation leaves by email, it is exactly how you want it.
Some of the integrations can be a bit spotty so it depends on what kind of data source you are integrating
Sometimes new users are not always aware of all the various functionality that Benchling has - can do better to provide more user awareness of more complex features
Note: I am responding to this question as a user of the system and not a representative of my organization.
On a personal level/as a user only, I would definitely continue to use FluidSurveys.On a personal level/as a user only, I would definitely continue to use FluidSurveys.
I think the average person can very quickly pick up on the basics of the system: they would have no problems programming and launching a basic survey. Organizations may benefit from having people of different backgrounds getting their hands dirty in the system: at a minimum, both web programmers and opinion research advisors should be solicited for input or help.
Benchling was much more of a full stack solution and provide much more features that were relevant to the group. Airtable was more of a generic way to manage large amounts of data, but the complexity was still high for the types of data that would be need to be managed and there would need to be some workarounds. Overall Benchling was selected since it also had an electronic lab notebook feature which was very useful to associates in addition to its data workflows.
Although I do not have much experience with Survey Monkey, the only two reasons why I choose FluidSurveys is that clients demand it (privacy and anonymity) and because managing multiple surveys at a time is easier. As for ODK Collect, I think it is a valuable alternative to FluidSurveys if you have time to learn the coding (not very complicated). ODK is a little less user friendly and you cannot address small details as you can with FluidSurveys (e.g.: formatting).
It had a positive ROI in terms of reducing the amount of time spent on data movement and curation by associates
It had a positive ROI in terms of increasing the number of insights from structured data
It reduced the number of data entry and analysis errors by associates which led to a positive ROI in terms of efficiency and reducing time wasted by tracking down errors in data