Sales compensation teams hear plenty of feedback from sellers. Quotas are unfair. Reports are confusing. Credit isn't being assigned correctly. The incentive plan doesn't reward the right behaviors. But how do you determine which concerns require a compensation plan change and which are better addressed through communication, reporting or business processes?

In this interactive session, explore how one sales compensation team used seller listening sessions, structured feedback analysis and AI-assisted tools to make more informed incentive decisions. Learn how the team identified recurring themes, evaluated concerns against existing plan designs and determined where changes would have the greatest impact.

Then put the approach to work. Using anonymized seller comments, you'll identify common issues, evaluate possible responses and decide whether the right solution is a plan adjustment, process improvement or something else. You'll also see how AI can help organize qualitative feedback and accelerate analysis without replacing professional judgment.

Leave with a practical framework for turning seller feedback into better compensation decisions, along with tools you can adapt for your own sales compensation planning process.