We examine what was tested, how it was measured and which conclusions the results support.
01 / RESEARCH
We compare findings in their context.
Our reviews cover AI in marketing, knowledge work and learning. Each one records the task, participants, intervention and outcome, and distinguishes the study’s findings from wider interpretation.
Areas of enquiry +
AI-assisted marketing work; the boundaries of model capability; human judgement and oversight; transfer of findings between tasks and contexts.
02 / LEARNING DESIGN
We examine how people learn with AI.
Our learning reviews compare tutoring, feedback and practice. They distinguish what a person produces with assistance from what that person can do independently afterwards.
Design questions +
We compare the task learners practise, the support they receive and the way their understanding is assessed. Independent tests and follow-up periods establish what remains after assistance ends.
03 / EVALUATION
We make the basis of a judgement clear.
We compare the measures used to assess AI-supported work, from factual accuracy to consumer response. Our methods state their limitations and make the basis of a judgement clear.
Methods remit +
We identify the outcome each measure captures and the claims it leaves unresolved. The papers record source-access limits and distinguish published research from preliminary manuscripts.
