Sentiment Analyzer
One-Line Outcome
Identified and fixed 6 high-impact UX issues and improved App Store rating from 3.5 to 4.6 using MIRSA’s Sentiment Analyzer for a multilingual B2C lifestyle app.
The Challenge
A lifestyle and wellness mobile app available in 6 languages across 3 regions was receiving poor user reviews that were vague and inconsistent. Their product team was unable to trace sentiment trends or prioritize feedback efficiently. Ratings were dropping despite continuous feature releases, and user loyalty was eroding silently.
The Strategy
ThinkAlternate activated the Sentiment Analyzer module within MIRSA to:
- Aggregate reviews across Google Play, App Store, and in-app feedback
- Use multilingual NLP to classify feedback into sentiment categories
- Extract intent, urgency, and pain point clusters from unstructured feedback
- Correlate sentiment drops with app releases, regions, and UX flows
- Generate actionable insights for Product, QA, and Design teams
Execution
- MIRSA ingested 14,200+ reviews across 6 languages
- Trained LLM on localized slang, emoji use, and tone cues
- Identified 6 recurring UX friction points causing negative sentiment
- Mapped sentiment shifts to app updates, Android versions, and screen flows
- Delivered weekly sentiment heatmaps and product impact reports
Results
- App Store rating increased from 3.5 to 4.6 in 45 days
- 22% improvement in user retention in negatively affected cohorts
- Reduced negative feedback by 47% post hotfix rollouts
- Reduced manual review triaging time by 80%
Client Testimonial
“We never realized how much value lived inside user reviews. MIRSA turned chaos into clarity and gave us a product roadmap rooted in real user emotion.”
— Product Manager, Lifestyle App (SEA Region)
Services Delivered
- Multilingual Sentiment Analysis
- App Store Review Mining + NLP
- Pain Point Clustering
- Feedback-to-Feature Correlation
- Product Impact Heatmaps
Related Modules
- App Health Dashboard
- Performax Engine
- Root Cause Engine
- Ghost Bugs
Call to Action
- Your users are already telling you what to fix. You just need to listen smarter.
- MIRSA’s Sentiment Analyzer converts noisy feedback into clear product signals.
