Lean Experimentation for Public-Interest Technology Startups

Farid A. Mohamad

Lean Experimentation for Public-Interest Technology Startups

Author(s)	Dr. Farid A. Mohamad
Country	United States
Abstract	Public-interest technology startups operate at the intersection of entrepreneurial uncertainty and societal responsibility. They may develop technologies for civic participation, public-service accessibility, health, education, environmental monitoring, community infrastructure, administrative efficiency, or other socially consequential domains in which conventional startup experimentation can affect individuals who are not merely customers but citizens, patients, students, beneficiaries, or members of vulnerable communities. This study examines how lean experimentation can be adapted to these conditions without abandoning either rapid learning or public accountability. Lean experimentation is conceptualized as a disciplined process of converting assumptions into testable propositions, implementing proportionate experiments, collecting decision-relevant evidence, and revising products or business models before excessive resources are committed. Existing entrepreneurship research supports experimentation and scientific hypothesis testing as mechanisms for reducing uncertainty, while responsible-innovation and public-value scholarship emphasizes anticipation, inclusion, reflexivity, responsiveness, accessibility, and societal outcomes. Because no primary startup dataset was supplied, the present study employs a simulation-based explanatory design. Five synthetic scenarios representing lean-experimentation maturity from 20% to 100% were evaluated through validated-learning efficiency, public-value alignment, stakeholder inclusion, ethical safeguard integration, resource efficiency, and mission continuity. Simulated validated-learning efficiency increases from 48 to 90 and public-value alignment from 43 to 89 across the scenarios, while avoidable experimentation risk decreases from 76 to 30. The study argues that minimum viable products in public-interest technology should be minimum in scope, not minimum in responsibility. Privacy, accessibility, fairness, informed participation, safety, and foreseeable public harms require consideration from the earliest experiment when materially relevant. The resulting framework extends lean startup logic from customer validation toward responsible validated learning, in which evidence about desirability and feasibility is considered alongside public value, inclusion, and ethical acceptability.
Keywords	lean experimentation, public-interest technology, lean startup, civic technology, responsible innovation, public value, validated learning, startup experimentation
Field	Engineering
Published In	Volume 5, Issue 3, May-June 2024
Published On	2024-05-29

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American Journal of Advanced Multidisciplinary Innovation and Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Lean Experimentation for Public-Interest Technology Startups

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