Reviews

Misleading Percentages: When only one review mentions a topic (e.g., a battery issue), the summary still displays "100% of reviews," which can give a distorted impression. This could be interpreted as 100% of all reviews, rather than just 1 out of 1. Irrelevant Content in Categories: I often see summaries in one category (like Price or Device Issues) that include topics unrelated to that area, such as Overall Enjoyment or New Features. This reduces the reliability of category-specific insights.

I would be interested in a feature to track trends and performance metrics for the support team over time, such as overall response rates by month or week. I currently have to manually compile this data in Excel.

Replies are sent in different languages that we don't know. It will be useful to have the translation feature for replies like we do have for reviews. It will help us check the reply quality in different languages, not only English and Russian

We have hundreds of automation rules based on templates. It will be super helpful to have a bulk edit option, like switching all rules at once from approval to auto-posting.

Add a report showing top 10 countries by the amount of ratings, by avg.rating, show delta difference - similar to Google Play console report https://monosnap.com/file/cMwrOUgEnEUZyoTDczCm28HUy1bTjs

We'd like to have 1 alert for iOS and Android games, which includes: Ratings changes Reviews changes Sentiment (positive, negative) changes Breakdown by platform (iOS, Android) for all games

Nice to have not just spike detection by tags and stars, but any anomaly detection which AI could summaries and share actionable insights (e.g. replies suggestion, other actions). Email or discord as a transport channel.

We are not alerted if connections get broken, so we might miss it and our automations won't work as expected, which will impact team's performance

To better connect app feedback and customer support data.

Find issues faster and set automation (tags/replies) Give me report for [app] [period of time]