This platform is like no other, it is intuitive, brilliant, and offers robust insights that are hard to achieve with the competitor's software. If you are still conducting surveys to understand preference and choice decisions using conventional survey methods you are missing out on an opportunity to gain real insights for a fraction of the cost.

I am a public health masters student as well as a practicing medical doctor working in clinical research. Under guidance from mentors who had experience with 1000minds, and as a project for one of my masters classes, we used the software for a discrete choice experiment to generate an additive decision rule to define the minimal characteristics of a clinician with competency to manage osteoporosis. We intend to use the tool to identify clinicians for inclusion in an upcoming clinical trial focused on improving bone health care as part of a fracture liaison service (an osteoporosis intervention). Prior to my work with 1000minds, I did not have previous experience working with conjoint analysis. As I was planning my project, I looked into both 1000minds and other software. As a comparison, I felt that 1000minds was more user-friendly and the support staff were much more engaged and helpful, even after just a few email exchanges. I found the 1000minds software extremely easy to use, the tutorials were quite helpful, and the 1000minds team very supportive. I met with members of their team several times via zoom to discuss my project and ask questions, and they were extremely responsive, eager to help and give suggestions. Next, I am planning to use 1000minds for my masters thesis project that will investigate characteristics associated with vaccine hesitancy and ways to overcome this to improve vaccine uptake.

As a company with huge data and versatile clients, we often come across a lot of issues to get all of our team under one final decision. This is the tool which made our task so easy and so perfect that none of our team member disagree with the decision it makes. I personally liked the way it analyse our huge data set and genrate the report out of it.