AI for Customer Research

Learn SCOPE, a five-step method for turning scattered customer feedback into a one-page, evidence-based recommendation instead of a guess.

Source, Centralize, Organize, Pattern, Execute. You pull every scrap of feedback that already exists, reviews, support tickets, surveys, social comments, into one place, then figure out which complaints actually hold up across multiple customers and which ones are just one person having a bad day. What comes out the other end is a Customer Decision Brief: a one-page, evidence-based recommendation instead of a guess. All of it happens inside your AI.

This course is for founders, marketers, and product people who make calls based on customer feedback but don't have a research team to do it for them, or who've watched a team commit to a fix nobody ever checked against a customer first.

It's fully online with lifetime access. Go at your own pace, and come back to it whenever a real decision needs evidence behind it, not just once a quarter.

What you'll walk away with:

• Turn scattered reviews, tickets, surveys, and social comments into one place you actually check, instead of rediscovering the same complaint five times
• Spot which complaint is a real pattern and which one is a single person having a bad day, so you stop chasing the wrong fix
• Walk into a decision with a one-page recommendation backed by evidence, not a guess that costs you months if it's wrong
• A repeatable method (SCOPE) for the next business question, not just the one used in the course