Define 1-2 outcome metrics tied to the theory of change (focus on the most decision-relevant cognitive/behavioral outcomes), and include at least one early-warning indicator of harm (e.g., over-reliance, disengagement).
Combine at least one behavioral/trace metric with a brief, contextualized self-report measure (≤3 items) to capture meaningful user change.
Include a minimal external check (e.g., focused group discussion, offline data, or stakeholder validation) to ensure on-platform measures reflect real-world outcomes.
Consider testing product changes on selected outcomes using simple experimental methods (e.g., A/B tests)
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