Use case: app reviews
App Review Analysis for the App Store and Google Play
Analyze App Store and Google Play reviews with AI. Group reviews into themes like crashes, login and pricing, with counts and examples, by release.
AI thematic analysis use cases
See how teams use Apercu to turn survey responses, reviews, support tickets, and customer feedback into clear, actionable themes.
Use case: employee surveys
Employee Survey Comment Analysis with AI
Analyze employee engagement survey comments with AI. Group open-ended answers into themes like workload, managers and growth, with counts and examples.
Use case: NPS comments
NPS Comment Analysis: Find What Drives Your Score
Analyze NPS verbatim comments with AI. Split detractors, passives and promoters, find the themes behind each score and see what to fix first.
Use case: support tickets
Support Ticket Analysis: Find What Drives Your Ticket Volume
Categorize support tickets automatically with AI. Group ticket subjects and descriptions into labeled themes, find top contact drivers and cut repeat tickets.
Use case: user research
User Interview Analysis: Find Themes Across Research Sessions
Analyze user interview notes and transcripts with AI. Group answers across sessions into themes with counts and quotes, and get to synthesis faster.
Use case: customer feedback
Customer Feedback Thematic Analysis with AI
Analyze customer feedback from NPS, support tickets, reviews and surveys. Apercu groups comments into AI-labeled themes with counts and real examples.
Use case: review analysis
Product Review Thematic Analysis with AI
Automatically extract themes from G2, Capterra, app store and Amazon reviews. Apercu groups reviews into AI-labeled themes with counts and examples.
Use case: survey analysis
Open-Ended Survey Response Analysis with AI
Analyze open-ended survey responses with AI. Apercu codes answers into labeled themes with counts, percentages and examples from your CSV or Excel export.