Agents tasked with evaluating a decision, plan, or argument default to a single analytical perspective, producing blind spots that a human expert from a different discipline would immediately identify.
Solution
Systematically rotate the agent through 3–5 domain perspectives on the same question, synthesizing insights that only emerge from the intersection of multiple viewpoints.
Implementation steps
Define 3–5 relevant domain perspectives for the question type (e.g., for product decision: engineering, user experience, business model, security, regulatory)
For each perspective, generate an isolated analysis: "Analyze this from the perspective of a [role] who cares most about [primary_concern]"
After all perspectives complete, run synthesis pass: identify conflicts between perspectives, identify blind spots in original framing, surface non-obvious considerations
Final output must include: per-perspective summary, cross-perspective conflicts, and synthesis recommendation that explicitly weights perspectives
Document which perspectives were applied so future agents can identify missing viewpoints
Examples
–Architecture decisions evaluated by security engineer, performance engineer, and product manager
–Business strategy evaluated from customer, competitor, and regulator viewpoints
–Research findings reviewed from methodology, statistics, and domain expert angles
Anti-patterns
–Fake rotation where all perspectives reach same conclusion — indicates generic prompting rather than genuine perspective shift
–Too many perspectives (>7) causes cognitive overload and diluted synthesis
–Skipping synthesis step — the value is in the intersection, not the individual perspectives
