Topic • Personas

Personas in Synthetic Market Research

Personas are the interface to synthetic research. Clear definitions, calibration, and disclosure keep them comparable, auditable, and ethically deployable.

Persona design Specification Calibration
Why this topic matters

“Persona” can mean a prompt, a structured profile, or a calibrated simulation with memory and state. Without shared definitions and disclosures, buyers cannot tell which they are getting and governance teams cannot set the right guardrails.

  • Demand persona specifications: grounding, memory, state, and connectivity.
  • Use declared capability levels to make vendors and tools comparable.
  • Document limits so teams treat personas as simulation unless validated as decision-grade.
Use this page to
  • Align teams on what “persona” means in your stack.
  • Borrow language for procurement and disclosure labels.
  • Pick tools based on scenario, not hype.
Tip: pair persona taxonomy work with validation runs so claims stay testable.
Articles tagged Personas
Posts that unpack persona definitions, governance expectations, and tool choices.
Personas • Buyer guide
A practical walkthrough of Gate 0, structured demos, pilots, validation, and scoring using the SMRA vendor checklist.
Personas • Principles
How OECD AI Principles translate into controls for synthetic personas, twins, and simulated panels.
Personas • Ethics
A call for persona taxonomy, capability disclosure, and ethics guardrails so buyers know what they are purchasing.
Personas • Tools
Scenario-based recommendations for content optimization, consumer personas, managed outputs, and high-stakes strategy.