Crowd Prisma

Traditional survey analysis workflows treat free-text responses as a manual coding task where researchers read hundreds or thousands of individual answers, identify recurring themes, and laboriously assign categories a process that can take weeks for large surveys.

CrowdPrisma's TextEngine, built on state-of-the-art large language models and years of specialized topic modeling research, accomplishes this analysis in under an hour, surfacing coherent themes, generating succinct summaries, and assigning responses to topics with supporting quote extraction.

The TextEngine is described by the CrowdPrisma team as unparalleled in its class, combining LLM-based understanding with domain-specific topic modeling research to achieve a level of theme coherence and assignment accuracy that general-purpose text analysis tools do not deliver.

Unlike simple sentiment analysis or keyword frequency tools, TextEngine identifies the actual conceptual content and opinion categories within responses understanding not just what words appear frequently, but what distinct perspectives, concerns, and viewpoints respondents are actually expressing.

Each identified theme comes with a succinct AI-generated summary and curated supporting quotes extracted from the original responses, making the output immediately presentable to stakeholders.

The Prisma Dashboard is built for interactive exploration rather than static reporting.

Research teams can dynamically define any imaginable subgroup participants by age, region, response pattern, or any combination of survey dimensions and immediately see how that subgroup's text responses, sentiment, and theme distributions differ from the rest of the cohort.