A Customer Intent Intelligence™ series examining the claims we make about AI, search, analytics, personalization, automation, and customer understanding—then asking what the evidence actually supports.
Then separate what technology can actually observe, predict, or classify from what we are assuming it understands.
Behavioral systems can detect patterns, forecast likely actions, and automate responses at extraordinary scale. But a behavioral pattern is still evidence to interpret—not proof of the customer goal behind it.
Customer Intent Intelligence asks a harder question: What evidence supports the interpretation we are about to act on?
CONTINUE THE CII JOURNEY
Follow one Customer Intent Intelligence™ idea from research to interpretation, critique, application, practice, and reflection.
The series is not anti-AI, anti-data, or anti-automation. It is anti-unexamined certainty. Every deconstruction follows the same evidence discipline.
What exactly are we being told the technology, metric, or method can do?
What does the available evidence directly support?
What information would materially change the interpretation?
What competing explanations fit the same signal?
What can we say—and act on—without pretending uncertainty disappeared?
Deconstructing the Hype™ focuses on the places where technology language becomes more confident than the underlying evidence.
Capture the claim, the evidence behind it, and the context your team may be overlooking. The tool generates a structured set of questions for a CII-style review.
Customer Intent Intelligence™ asks organizations to distinguish observation from interpretation, inference from evidence, and prediction from understanding—so better technology can lead to better decisions instead of simply faster assumptions.