Crowd Prisma

CrowdPrisma offers sophisticated text analysis tools within three pricing tiers – Pro at $999/year, Base at $499/year, and Free at $0/month – that process thousands of responses using AI TextEngine. The platform handles multiple data types, including qualitative responses analyzed by its advanced Large Language Models. Through features like GroupFinder and interactive dashboards, researchers can identify patterns across various question types and compare subgroups statistically. Applications span market research, CX/UX, human resources, and public opinion analysis, where traditional methods struggle with qualitative data.

Pricing Structure

CrowdPrisma offers three tiers: Pro ($999/year), Base ($499/year), and Free ($0/month), each with specific features and limitations. The entry-level Free tier allows 500 respondents, 200 A4 pages (equivalent to 5,000 words) of text analysis, and five full analyses per month. This tier provides all features of the paid tiers, including AI TextEngine, multilingual support, autopilot functionality, GroupFinder, and Prisma Dashboard.

The Base tier offers expanded capabilities at $499/year: 1,000 respondents, 200 A4 pages (5,000 words) of text analysis, and support for unlimited dashboards. The Pro tier at $999/year delivers the highest capacity: 2,000 respondents, 500 A4 pages (12,500 words) of text analysis, and all features of the paid tiers. Text analysis is measured in words, with quotas rolled over monthly to prevent wasted credits.

The platform accepts Excel and CSV files, requiring a single-row header and no multi-row headers. Data should be formatted according to the tier's limitations: up to 5 unique values for numeric columns, using standard date formats, and no multi-line text fields. Each analysis consumes word quota based on text response volume, with unused monthly quota carried forward to maintain full purchased capacity. The company stores data securely in Microsoft Azure with industry-standard encryption for both data at rest and in transit.

Data Analysis Features

CrowdPrisma's AI TextEngine processes thousands of text responses using state-of-the-art Large Language Models (LLMs) and advanced topic modeling techniques. The system automatically extracts coherent themes and topics from text responses, summarizes them succinctly, and assigns relevant quotes to each topic. This comprehensive text analysis capability allows users to understand complex relationships between text and non-text variables, providing robust insights into respondent thinking patterns.

The platform supports multilingual text responses and automatically detects sentiment for each response. The AI TextEngine maintains coherence while processing thousands of responses, ensuring accurate theme-topic assignments and sentiment classifications. The company continuously refines its capabilities, particularly through its ExecSummary feature, which provides a one-page overview of survey results, highlighting key user groups and trends.

The company's GroupFinder tool creates scatter plots representing survey participants, with each dot indicating a respondent. This visualization helps identify patterns across all question types, including text, categorical, multiple-choice, numeric, and date variables. Users can apply various filters and selections to explore specific subgroups within the data, and the tool automatically updates visualizations to reflect these changes.

The interactive Prisma Dashboard combines AI TextEngine output with multiple visualization tools, allowing users to drill down into survey data in unprecedented detail. The dashboard's features include an auto-generated interactive layout, precise filtering capabilities, and comprehensive subgroup discovery through the Autopilot feature. These tools enable researchers to uncover nuanced insights that traditional survey methods might miss, particularly when analyzing qualitative data.

File Compatibility and Data Requirements

CrowdPrisma's platform accepts Excel and CSV files, requiring a single-row header with no multi-row headers. Data should be formatted according to the tier's limitations: up to 5 unique values for numeric columns, using standard date formats, and no multi-line text fields. Each analysis consumes word quota based on text response volume, with unused monthly quota carried forward to maintain full purchased capacity.

The tool automatically detects and visualizes several variable types:

• Categorical data is visualized as pie charts, with numeric columns automatically converted to categorical/score type if they have less than 5 unique and consecutive values (e.g., 1, 2, 3, 4, 5)

• Multiple choice fields support separators ";", "|", "&", "\t", "," to represent different options

• Date data is automatically detected using 10 most common web date formats, visualized in histogram-like line plots

• Numeric data is visualized in histogram-like line plots

• Text data is automatically detected and analyzed by CrowdPrisma TextEngine to find themes and assign responses to them

The tool allows detailed filtering of charts in the Prisma Dashboard. For pie charts, users can click on slices to define subsets across multiple questions, with filters reset by clicking slices again or using the refresh icon above the chart. Global reset is available at the top of the dashboard, and page refresh also works. Line charts use clickable and draggable handles to define selection ranges, allowing users to adjust selection sides or drag entire ranges. All charts update automatically to reflect these changes.

The platform's GroupFinder tool presents survey participants as dots in a scatter plot, with closer dots indicating similar responses across all question types including text, categorical, multiple-choice, numeric, and date variables. Respondents can be colored by other charts above to identify patterns, such as splitting the chart into three sections indicating a key driver of respondent grouping. The tool's Autopilot feature automatically segments the scatter plot to discover distinct groups of respondents who think and answer alike across all questions, color-coding the GroupFinder plot accordingly.

When comparing groups, several criteria must be met:

• Both groups must contain at least 30 samples

• Charts used to define groups are excluded from the comparison

• Comparisons are limited to the same open-ended question

• Statistical tests compare distribution of levels (categorical pie charts) between Group A and Group B

• Only charts with p-values below 0.01 are included in comparison results

• Differences between groups are calculated for each passing chart variable

Dashboards can be shared by generating a unique URL from the Analyses home page, which captures the dashboard's state including applied filters except for text search filters. Recipients can access the dashboard using this URL, with all applied filters loaded when opened. The sharing process works by selecting the share icon in the top right corner of the dashboard page.

Dashboard Interactivity and Insights

The Prisma Dashboard combines AI TextEngine with interactive visualization tools, allowing users to drill down into survey data in unprecedented detail. The dashboard's features include an auto-generated interactive layout, precise filtering capabilities, and comprehensive subgroup discovery through the Autopilot feature.

A key feature is GroupFinder, which presents survey participants as dots in a scatter plot, with closer dots indicating greater similarity across all answer types including text, categorical, multiple-choice, numeric, and date responses. Users can color dots by other charts above to identify patterns, such as splitting the chart into three sections indicating a key driver of respondent grouping. The Autopilot feature automatically segments the scatter plot to discover distinct groups of respondents who think alike across all questions, color-coding the plot accordingly.

The TextEngine processes thousands of text responses using state-of-the-art Large Language Models (LLMs) and advanced topic modeling techniques. It automatically extracts coherent themes and topics, summarizing each with relevant quotes and visualizing them in pie charts. The system maintains coherence while processing thousands of responses, ensuring accurate theme-topic assignments. Each analysis consumes word quota based on text response volume, with unused monthly quota carried forward to maintain full purchased capacity.

The dashboard supports multiple question types and variable visualizations. Categorical data is shown in pie charts, while numeric columns with less than five unique and consecutive values are automatically converted to categorical/score type. Multiple choice fields support separators including ";", "|", "&", "\t", and ",", with automatic conversion to separate pie-chart slices. Date data is automatically detected using 10 common web date formats and visualized in histogram-like line plots. Numeric data is visualized in similar line plots, while text responses are automatically analyzed by the TextEngine to find themes and assign responses to them.

The company tracks monthly word usage for text-based analyses, calculating the number of words in the data to be analyzed and subtracting this from the user's quota once the analysis is complete. TextEngine functionality includes advanced filtering options: pie charts allow users to click on slices to define subsets across multiple questions, with filters reset by clicking slices again or using the refresh icon above the chart. Line charts use clickable and draggable handles to define selection ranges, allowing users to adjust selection sides or drag entire ranges. All charts update automatically to reflect these changes.

When comparing groups, several criteria must be met: both groups must contain at least 30 samples, charts used to define groups are excluded from comparison, comparisons are limited to the same open-ended question, statistical tests compare distribution of levels between Group A and Group B, only charts with p-values below 0.01 are included, and differences between groups are calculated for each passing chart variable. The dashboard shares this state through a unique URL generated from the Analyses home page, which captures the dashboard's state including applied filters except for text search filters. Recipients can access the dashboard using this URL, with all applied filters loaded when opened.

Use Cases and Applications

CrowdPrisma's applications span multiple sectors, each leveraging the platform's capabilities to unlock deeper insights than traditional methods. In market research, qualitative surveys stand out as particularly powerful, though notoriously difficult to analyze due to the inherent fuzziness of human language. The platform excels here, processing standard survey data alongside text responses to deliver actionable insights that save researchers hundreds of hours while reducing bias.

Customer experience and user experience (CX/UX) teams benefit by treating open-ended questions as first-class citizens, using them to uncover nuanced user needs that quantitative metrics alone cannot reveal. The software seamlessly integrates with existing non-text question types, allowing researchers to cross-tabulate qualitative feedback with other data sources for a more complete picture of user sentiment.

In human resources, the tool proves invaluable for understanding employee engagement and satisfaction, where simple customer satisfaction scores fall short of revealing deeper truths. Unlike competitors that struggle to handle text responses natively, CrowdPrisma processes them as first-class data points, converting qualitative insights into quantitative metrics that inform hiring, retention, and development strategies.

For policymakers and public opinion analysts, the platform bridges the gap between traditional polling methods and modern qualitative research. In a domain where complex issues require more than simple yes/no answers, CrowdPrisma excels by converting textual responses into actionable insights that help lawmakers understand public sentiment nuances. This capability is particularly crucial for areas where public opinion cannot be fully captured through conventional survey methods.