ADS — Adaptive Outcome-Analysis System
I built ADS to explore a simple question: Can a system learn from what we expected to happen compared with what actually happened?
ADS is an adaptive outcome-analysis system that captures structured observations over time, compares expectations with actual outcomes, identifies recurring patterns, and converts those patterns into actionable feedback.
Configure the system around what you want to understand.
ADS can be tailored to different situations and applications while using the same underlying system to capture outcomes, identify patterns, and provide actionable feedback.
To see how it actually works, I can provide access to an existing account where Decisions are used as the structured observations. You can see the system in operation, including examples of the insights and coaching generated from the accumulated outcomes.
The purpose is not simply to demonstrate another application or website, but to demonstrate the underlying ADS system and what it can do when configured around a particular subject.
I'm interested in hearing from other founders and builders: What would you want a system like ADS to analyze?
If you'd like to explore the working system, please email adssystemsnotifications@gmail.com.
