Iterative Search Process
While most companies start with a solution then try to find a problem it solves, Iterative Search redefines the problem more accurately, then identifies the right solution for that problem.
Search engines aren’t based on Artificial Intelligence! This tool constantly refines its contextual relevance based on user actions over time.
The core architecture includes a Neural Network learning engine that learns from each user and transfers this knowledge to the next users. The tool becomes more powerful with each use and develops an aggregated knowledge repository specific to each user group, so no two companies have the same knowledge base.
We began with an idea of the type of problem users have when conducting complex searches, we then conducted field user research to more accurately understand the problems that users face. This eventually led us to the solution you see here.