DS-301i · Module 2

Outcome Tracking

3 min read

The recommendation was made. The action was taken. What happened? Outcome tracking closes the loop by measuring the result of each recommendation 30, 60, and 90 days later. The QBR was scheduled and the at-risk account renewed — recommendation successful. The outreach was sent and the deal advanced — recommendation successful. The pricing was adjusted and the deal was lost anyway — recommendation unsuccessful. Each outcome is linked to the recommendation, the context at the time, and the action taken. This creates the labeled dataset that the engine learns from. Without outcome tracking, the engine is static — it recommends based on initial rules or training data and never improves. With outcome tracking, the engine learns which recommendations in which contexts produce which outcomes. Every quarter, the recommendations get better.