Designing experiments to alleviate behavioral biases in innovation
The goal of experimentation is to (in)validate assumptions that we have about our innovations, to make sure our cognitive and behavioral biases don't steer the direction. Experimenting and validating business concepts, consumer segments, business models, etc., will ultimately help to de-risk your innovation process.
Regardless of which experiments are tested, there is a set of generic rules that apply to all – from digital experiments to empathy interviews.
Business and concept validation through qualitative and quantitative data
Validation is the process of gathering evidence and learning around business ideas through experimentation and user testing, in order to make faster, informed, de-risked decisions. Validation techniques are usually divided into two main categories, relating to the type of information being collected - either qualitative or quantitative. Here's how you can use them.
Overcoming the barriers preventing you from validating your healthcare innovation
Navigating validation within healthcare can be tricky. This is why I co-wrote a short piece on how to overcome 3 common barriers when validating in this space. If you work on products or services in the health ecosystem, I'm sure they will sound familiar.