Supascout

Supascout: Analyze App Store Reviews to Gain Actionable Insights is a research and analytics tool designed to understand user needs and frustrations by analyzing App Store reviews. It helps product teams, marketers, and researchers identify pain points, feature requests, and sentiment trends to inform product decisions and prioritization. The platform emphasizes extracting practical, data-driven insights from user feedback across regions and apps.

How Supascout Works

1. Search for an app across regions and stores to gather relevant reviews.
2. Aggregate and filter reviews by language, rating, date range, and keywords.
3. Analyze sentiment and themes to surface actionable insights such as bugs, feature desires, and user experience issues.
4. Export reports or share findings with your team to drive decisions.

Use Cases

• Product teams prioritizing feature requests and bug fixes
• Marketing to understand user pain points and messaging gaps
• Research to track sentiment trends over time and across regions
• Competitive analysis by comparing reviews of similar apps

Key Benefits

• Actionable insights distilled from raw reviews
• Region-aware analysis for localized user feedback
• Supports prioritization with clear impact signals
• Facilitates faster decision-making and alignment across teams

Safety and Privacy Considerations

• Analyzes publicly available App Store reviews; respects user privacy and store terms.

Core Features

• App and region search to pull relevant reviews from App Store
• Filtering by language, rating, date range, and keywords
• Sentiment and theme extraction to reveal bugs, requests, and UX issues
• Trend analysis to monitor changes over time
• Exportable reports and shareable insights
• Competitive and comparative analysis across apps
• Support for collaboration and team workflows