---
title: "Research | Minds"
canonical_url: "https://getminds.ai/research/overview"
last_updated: "2026-08-26T08:59:27.729Z"
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  description: "Experiments, benchmarks, and technical papers from Minds Research Lab on synthetic respondents, persona-conditioned AI, evaluation methods, and the limits of simulated evidence."
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Minds

# **Research **

Experiments, benchmarks, and technical papers from Minds Research Lab on synthetic respondents, persona-conditioned AI, evaluation methods, and the limits of simulated evidence.

[2026-08-21<h2>**~~Model-Change and Validation Provenance Policy~~**</h2>How Minds records material model, provider, prompt, retrieval, population, orchestration, post-processing, and calculator changes that affect research claims.](https://getminds.ai/research/model-change-validation-provenance) [2026-08-21<h2>**~~Minds Research Method Pipeline Catalog~~**</h2>A public map of available Minds qualitative and quantitative research methods, their required inputs, versioned pipeline stages, calculators, artifacts, and limits.](https://getminds.ai/research/research-method-pipeline-catalog) [2026-08-21<h2>**~~Synthetic Research Evidence Center~~**</h2>Inspect Minds validation, method pipelines, audience grounding, legal and procurement documentation, model-change provenance, and the limits of synthetic research claims.](https://getminds.ai/research/synthetic-research-evidence-center) [2026-08-14<h2>**~~We Tested Synthetic Audiences Against Reality~~**</h2>Six public benchmarks tested synthetic survey distributions and held-out qualitative answers across 1,881 people, with final survey approximation between 91.67% and 95.28%.](https://getminds.ai/research/synthetic-audiences-reality-benchmark-2026) [2026-08-14<h2>**~~Can AI Recreate a Real Gen Z Food Survey? Minds Reached 93.99% Approximation~~**</h2>An outcome-blind validation compared 903 responses from 301 persistent Gen Z Minds with published UK Food Standards Agency survey distributions. Aggregate approximation reached 93.99%.](https://getminds.ai/research/synthetic-gen-z-food-survey-validation-2026) [2026-07-10<h2>**~~Minds PRISM: Source Modeling, Architecture, and Validation Protocol~~**</h2>A transparent methodology guide to Minds PRISM source-modeling architecture, synthetic persona validation protocols, and directional research boundaries.](https://getminds.ai/research/minds-prism) [2026-07-03<h2>**~~From Prompt to Proof: A Synthetic Audience Method~~**</h2>A practical methodology for building, grounding, questioning, validating, and reporting Synthetic Audiences without confusing simulation output with final proof.](https://getminds.ai/research/synthetic-audiences-methodology) [2026-07-03<h2>**~~Before You Trust a Synthetic Audience~~**</h2>A practical validation checklist for Synthetic Audiences covering audience definition, grounding, prompt neutrality, output review, reporting, and follow-up evidence.](https://getminds.ai/research/synthetic-audiences-validation-checklist) [2026-06-21<h2>**~~Inside Minds: How Synthetic Research Panels Are Built~~**</h2>How Minds creates reusable AI-persona groups, collects parallel synthetic responses, and fits into evidence-conscious research workflows.](https://getminds.ai/research/methodology) [2025-10-17<h2>**~~Why Generic AI Ideas Converge, and Personas Don’t~~**</h2>The Spark Effect study found that persona-conditioned AI agents produced substantially more diverse creative work than a uniform single-agent baseline.](https://getminds.ai/research/spark-effect-creative-diversity-multi-agent-ai)