silence-audit

What problem does it solve?

Persona panels and internet-sourced evidence routinely over-represent vocal, English-speaking, tech-literate, and urban populations while under-representing groups whose absence can materially skew product decisions; this skill makes those omissions visible, assesses their impact, and prescribes mitigation paths so teams do not mistake majority internet signals for the whole population.

Core Features & Use Cases

• Evidence inventory: Enumerates the types of sources present in a persona panel (reviews, forums, social media, research, analytics, interviews, etc.) and highlights missing source types.
• Bias detection & impact assessment: Identifies commonly under-represented groups (non-English speakers, older adults, low-income users, people with disabilities, regulated-industry users, rural populations, minority groups) and rates the material impact as HIGH / MED / LOW.
• Mitigation recommendations: Offers actionable options per missing group: label limitations, seek alternative evidence (census, NGO reports, academic studies), or flag as fieldwork priority with acceptance-criteria implications.
• Use Case: During a DISCOVER run, run this audit after persona construction to prevent product features from being validated exclusively against a skewed evidence base.

Quick Start

Run a silence-audit on the current persona panel to identify missing groups, rate their material impact, and generate mitigation actions.