Research
PreprintFeb 14, 2026Preprint Draft
Evaluation Framework for Practical AI Product Features
A framework for measuring utility, trust, and failure boundaries in applied AI features.
Abstract
The draft proposes a compact evaluation framework balancing answer quality, factual grounding, and user trust outcomes in AI-enabled interfaces.
Contribution
Built initial framework dimensions and practical scoring checklist for product teams.
Status: Preprint draft.
The framework prioritizes three axes:
- Utility: does the feature reduce user effort?
- Trust: does it avoid fabricated claims?
- Control: can teams govern behavior with explicit constraints?
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