Measurement-Minded Ethical Wayfinding
Teams often agree on values like dignity, autonomy, fairness, well-being but struggle to translate them into decisions that hold up over time. Measurement-Minded Ethical Wayfinding treats ethics as a form of navigation under uncertainty: you rarely get a perfect map, but you can build reliable instruments. Instead of reducing ethics to a single KPI or a vague set of principles, this approach creates practical “wayfinding tools” that help organizations stay oriented toward what matters as contexts shift, systems scale, and trade-offs appear.
Concretely, I combine philosophically rigorous ethical reflection with design methods and measurement discipline to build compasses, scorecards, and metrics frameworks that are usable in product cycles and governance processes. The aim is not to flatten human values, but to make them legible enough to guide iteration: blending qualitative signals (structured reflection, journaling-style instrumentation, stakeholder testimony) with quantitative indicators (well-constructed measures, trend tracking, robustness checks). The result is an approach to user well-being and trust that is both humane and operational—values that can be tested, monitored, and improved rather than asserted.
What this enables in practice
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Turn ethical commitments into decision-ready measurement frameworks
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Build scorecards that track dignity, agency, and flourishing over time
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Combine qualitative insight with quantitative rigor (without “KPI tunnel vision”)
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Support governance, audits, and post-launch monitoring with coherent instrumentation
Where it applies
User Well-being Strategy • Responsible AI Evaluation • Trust & Safety • Policy Compliance & Audits • Product Health Monitoring • Research-to-production Translation
If you need values to steer real decisions, Measurement-Minded Ethical Wayfinding helps you move from “we care about ethics” to instrumented, accountable progress that teams can iterate on, without losing the human depth that makes those values worth protecting.