Productivity Measurement

Definition

Productivity Measurement examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

Productivity Measurement may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

How should productivity be measured when AI changes task boundaries, quality and hidden verification work?

Hypotheses

Outcome quality and total effort will provide a truer productivity measure than task count or time saved.

Proposed methods

longitudinal cohort studies; wearable and workload telemetry; diary studies; organisational pilots; surveys; performance analysis; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

workers; employers; occupational health teams; HR leaders; unions; insurers; clinicians; regulators; finance leaders; workforce analytics teams