Crowd Prisma
Identify customer preferences, segment profiles, and analyze survey results with NLP technology and an interactive dashboard.
What is Crowd Prisma?
Crowd Prisma is a survey analysis tool that uses natural language processing to extract insights from customer feedback and survey responses. Rather than manually sorting through text responses, the tool automatically identifies patterns in what customers say, helping you understand preferences and segment your audience by behaviour or characteristics. It includes an interactive dashboard where you can explore findings visually, spot trends, and export results for reports or further analysis. The tool works best for businesses collecting survey data who want faster analysis without hiring additional research staff.
Key Features
NLP analysis
Automatically processes open-ended survey responses to identify themes and sentiment without manual coding
Customer segmentation
Groups respondents into profiles based on preferences, demographics, or behaviour patterns
Interactive dashboard
Visual exploration of survey results with charts, filters, and drill-down capabilities
Data export
Download analysed results in common formats for use in other tools or reports
Preference mapping
Identifies and ranks what matters most to different customer segments
Pros & Cons
Advantages
- Saves time on manual survey analysis, especially with large volumes of text responses
- Freemium model lets you test the tool before committing to paid features
- Visual dashboard makes findings accessible to non-technical team members
- NLP handles variations in language, catching similar ideas expressed different ways
Limitations
- NLP analysis quality depends on survey question clarity; poorly worded questions may produce unclear results
- Free tier likely has limitations on survey size or number of responses you can analyse
- May require some learning to interpret results effectively or set up segmentation rules
Use Cases
Product teams analysing customer feedback to prioritise feature development
Marketing departments identifying audience segments for targeted campaigns
Customer experience teams finding problem in open feedback from support surveys
Market research studying brand perception or competitor positioning from survey data
HR departments understanding employee satisfaction themes from engagement surveys