Gorilla lets me take my experiments online quickly and efficiently. The clear and straightforward interface allows me to map out the logic of my experimental designs, whilst its modular nature helps me to build and test components as I go. Taking my research online will dramatically increase my sample size, and help me to reach groups under-represented in my field.
Alexandra HendryKings College London
I finally had some time to sit through the experiment again yesterday and it looks absolutely amazing! And I’m even more amazed that it took me less than two weeks to set it all up. Thanks for making this possible!
Eva Poort UCL
Gorilla allows us to efficiently collect large, diverse samples of participants that are often unfeasible to obtain in the lab. The task builder makes it possible to build pilot experiments within a short space of time, while also allowing the flexibility to implement more sophisticated psychophysical designs.
Max RollwageThe MetaLab, Wellcome Trust Centre for Neuroimaging, UCL
Aimee WildeUniversity of Middlesex
Gorilla is designed for psychologists, so it has all the relevant options. I've found it really easy to use and very flexible.
Thanks for your quick response! It helped us! ... We have made an experiment with help or your excellent program Gorilla. We generated data earlier, it worked perfectly.
Jeroen KustersUniversity of Utrecht
The traditional ways for higher education students to memorize and recall materials in the visual domains (e.g. in Design & Architecture) can be boring and ineffective. We seek to assist students to learn and engage with visual materials more effectively by utilizing Perceptual Learning (PL). PL refers to experience-induced changes in the extraction of information (Eleanor Gibson, 1969) and it forms the basis of expert pattern recognition ability.
Gorilla is a SaaS platform that lets me focus on designing and implementing learning experiments for PL without worrying about the back-end system. It provides a ground for rapid prototyping of various time-sensitive learning activities for PL. A unique advantage of Gorilla is that it provides reliable time indictors to measure participants’ performances effortlessly.
Gorilla is a great product with a reasonable learning curve and providing great value to researchers conducting online experiments. Thanks for the great support service, too.
Wing Lau Xi'an Jiaotong-Liverpool University
I don't have the words to express how impressed I am with the kindness and speediness of you & your team. Thanks a million. I'm a very happy and loyal customer already and will make sure to recommend Gorilla at my upcoming conference later this month.
Albertyna PaciorekPedagogical University of Krakow
Massively impressed with Gorilla. Logged on for the first time yesterday lunchtime. Had a demo expt ready for students to adapt by 6pm the same day.
Jenni Rodd, Senior LecturerUCL
Really, thank you so much for your help. I’m extremely impressed with everything about Gorilla including your flexibility in finding an option that might work for my circumstances.
Barbara HewittUniversity of Glasgow
I'm using Gorilla for a variety of auditory task where participants hear and respond to speech and other sounds. Gorilla is a great platform. Experiments run in web browsers so they can be done anywhere, e.g. an internet-connected computer in the lab or on another continent -- no need to compile code or check out expensive licenses from a server. Gorilla streamlines collaboration. Collaborators can log into their own Gorilla accounts to share and view tasks, make edits to the tasks, check experiment progress and download data. The built-in version control ensures we always know exactly which version of a task was run. Support for the platform is phenomenal -- Cauldron staff respond quickly to questions and have even created custom features and written bespoke code in order to get things running smoothly.
Kyle JasminBirkbeck College
I am used to coding my own tasks and was expecting to have to code a bit on Gorilla for flexibility, but I was able to construct a full experiment in about a week with no issues at all – I was delighted
Camilla NordMRC CBU, University of Cambridge