Science & Journal

Methodology research, workflow playbooks, and honest product thinking.

Science

The Pre-Post Gap: Why creative testing after launch is too late

Most creative decisions are made on gut feel before launch, then validated with performance data after the budget is spent. The gap between these two moments is where the most expensive mistakes happen.

By Oussama Nakhil

Science

Three layers of scoring: from raw signals to KPI families to creative verdict

A single AI score for an ad is useless. RoastIQ scores in three layers: raw perception signals, sub-KPI families, and the 5 main KPIs with weighted composite.

By Oussama Nakhil

Science

Visual attention prediction vs. eye tracking: what we can and cannot claim

RoastIQ uses TranSalNet to predict where the eye is likely to look. This is not eye tracking. Here is exactly what the model does and where it breaks down.

By Oussama Nakhil

Science

From RoastIQ score to buyer objection: how context makes synthetic interviews sharper

BuyerLens never starts from scratch. Every interview begins with the RoastIQ result. This context transforms generic AI interviews into focused pressure tests.

By Oussama Nakhil

Science

When a BuyerLens study is strong enough to act on

We do not show a single accuracy percentage because that would be misleading. Instead, we show coverage indicators that help you judge study strength.

By Oussama Nakhil