Backsy.ai automates customer feedback analysis using AI. Instead of manually reading hundreds of responses, you upload a CSV with survey answers, support tickets, or interview transcripts and get a structured summary in minutes.
From CSV to insights in minutes
Backsy.ai pulls key themes, trends, and attributes from text. It turns qualitative comments into quantitative signals so teams can compare results across time periods, segments, and channels and spot recurring issues faster.
- Extract themes and emerging trends from open-text feedback
- Generate attribute-based scores (e.g., product, service, UI, pricing)
- Compare feedback across cohorts, channels, and time ranges
Built for product and research teams
The tool is designed for product teams, UX researchers, and customer insights agencies. Rather than working through raw text, spreadsheets, and manual tagging, teams can start with ready-to-use cuts and visual trends.
Reduce survey fatigue
Backsy.ai focuses on making better use of feedback you already have. Teams can run fewer new surveys while getting deeper analysis from existing responses, helping decisions reflect the real voice of the customer—not just a handful of quotes.
