FAQ for Enterprise UX Researchers
What is your sample size and is the stratified sampling methodology statistically valid?
Parse My App uses a stratified sampling methodology to ensure statistically valid and representative insights. We analyze reviews intelligently sampled from up to 500 total reviews.
Reviews are sampled proportionally across all star ratings (1 through 5). For example, if an app has 30% 5-star reviews, 20% 4-star, 15% 3-star, 20% 2-star, and 15% 1-star, our sample will reflect those exact proportions.
This ensures balanced representation and reduces bias from rating surges or review bombing.
This approach is statistically valid for sentiment analysis and pattern recognition, ensuring sufficient sample sizes for identifying recurring themes, pain points, and feature requests with high confidence.
Can I segment analysis by device type, OS version, and geography?
Yes, device type segmentation is available. You can filter reviews by device type before running an analysis:
- •App Store (iOS): iPhone, iPad, Mac
- •Google Play (Android): Phone, Tablet, Chromebook
This allows you to see device-specific user experiences. For example, you might discover that iPad users hate the cramped UI while iPhone users love it, or that Android tablet users want landscape mode support.
Geographic segmentation is supported via country selection. We support 40+ countries across both App Store and Google Play, allowing you to analyze reviews from specific regions (e.g., UAE, France, Japan).
OS version filtering is not currently available as a built-in feature, but is on our roadmap.
How do you handle PII and ensure compliance with data privacy regulations?
We take data privacy and PII (personally identifiable information) seriously. Review data is fetched directly from public app stores (App Store and Google Play) and processed in real-time. We do not permanently store review text unless you explicitly save an analysis to your dashboard.
When you save an analysis, insights (pain points, praises, trends) and review excerpts are stored locally in your browser's localStorage. Nothing is sent to our servers. No account exists — there's no database entry to breach or expose.
Review data fetched from public app stores contains only publicly available information (review text, star rating, date, author username). We process it in real-time and don't retain it after returning results to your browser.
You can delete individual saved analyses at any time from the Saved page, or clear all local data through your browser's storage settings.