Optimise was a digital tool developed by Incuna to assist reps in evaluating pharmaceutical requirements among GPs. The main section of the tool consists of a survey for capturing numerical estimates.
I was asked to try to find a solution to an interface problem that we had been struggling with for several months. Numerical estimates of outcomes were entered using a slider. Sliders were much quicker for reps to use with tablets in the field. Estimates of the prevalence of various treatments were then required. But, since these sliders were interdependent, it was possible for the total sum to be greater than 100% of the original value entered, which would be an invalid and potentially confusing input.
I got an understanding of the problem and attempted solutions from stakeholders and peers. And then I made a series of suggestions, some in the form of sketches. Rejected ideas included a multi-point slider and a set of individual sliders whose arbitrary values represented a ratio of the already defined total.
Ruminating on the problem in my spare time, the seed of a solution came to me in the form of a mental image, which I developed into a sketch, for acceptance by stakeholders and peers.
The solution was simple, but original as far as I know: separate sliders defined a percentage share for each outcome, however these sliders were dynamically linked so that increasing one slider created an upper limit for the others, preventing any one slider from taking the total above 100%. Once I had internal approval, I prototyped the solution in Axure and tested it both internally and with clients. It was extremely well received.
Wireframes ยป