Detect Feature Requests in App Reviews Automatically
Monitr is a brand monitoring app that watches your App Store and Google Play reviews, plus Twitter, Reddit, and Google News for feature requests, then tags and routes them to your product team within hours.
What is feature request detection in app reviews?
Feature request detection is the process of identifying when users ask for new functionality in reviews, social mentions, and community posts. Rather than manually reading hundreds of reviews each week, Monitr by MRVL uses machine learning to classify every mention as a feature request, bug report, positive feedback, or noise. As of 2026, most app studios still rely on spreadsheets or gut feel. Monitr watches five sources simultaneously: App Store reviews, Google Play reviews, Twitter/X mentions, Reddit posts, and Google News articles. When a feature request is detected, it's tagged instantly and can be routed to Slack, Linear, Jira, GitHub Issues, or even public roadmap tools like Shpd so your product team sees it the same day.
How Monitr detects and prioritises feature requests
Every mention your brand receives is fed through an ML classifier that assigns one of five tags: feature_request, bug_report, pr_crisis, positive_feedback, or noise. The classifier learns from your feedback rules over time. Monitr then groups related signals using hourly correlation detection, so if ten users mention the same feature request across different platforms, they appear as a single narrative rather than ten separate entries. This reduces noise and helps your product team spot genuine demand. Feature requests can then be automatically routed to your chosen tool (Slack for quick awareness, Linear or Jira for engineering, GitHub Issues for open-source projects, or Shpd if you publish a public roadmap). Crisis alerts fire every 15 minutes if urgent signals emerge.
Which sources does Monitr monitor for feature requests?
Monitr ingests feature requests from five channels: App Store review text, Google Play review text, Twitter/X mentions (requires your own bearer token), Reddit posts across subreddits you specify, and Google News articles mentioning your brand. This breadth means you catch feature requests whether users leave them formally in app stores or casually discuss them online. Competitor app review monitoring is available on Pro and Portfolio plans, so you can also see what users are asking for from rival apps in your category. The Free plan covers one app with up to 50 mentions per month, enough to test the detection logic. Studio plan (£99/mo) covers five apps and 5,000 mentions.
Routing feature requests to your product team
Once Monitr detects a feature request, it doesn't stop at tagging. You can set rules that automatically route specific types of signals to the right tool. For example, all feature requests could go to a Slack channel for initial discussion, while high-priority ones also create Linear issues assigned to your product manager. Jira integration suits larger studios managing multiple projects. GitHub Issues works well for open-source projects. Shpd integration is useful if you maintain a public feature roadmap and want users to see that their request has been logged. REST API access (Portfolio plan) lets you build custom workflows. Weekly digest emails keep stakeholders informed without overwhelming them.
Pricing for feature request monitoring
Monitr offers four plans. Free covers one app with 50 mentions per month and basic Slack routing, ideal for testing. Studio (£99/mo) adds five apps, 5,000 mentions per month, and access to all core integrations including Linear and Jira. Pro (£299/mo) scales to 20 apps, 50,000 mentions, and adds competitor app monitoring so you can track feature requests competitors receive. Portfolio (£599/mo) unlocks unlimited apps, 200,000 mentions, REST API access for custom workflows, and full feature parity. All paid plans include hourly correlation detection and 15-minute crisis alerts.
Feature request detection versus social listening
Feature request detection is purpose-built for app teams; it answers: what do our users want next? Social listening is broader and answers: what is the world saying about us? Monitr focuses on the former. It does not post replies, manage campaigns, or monitor private DMs. It is not a social media management tool. Instead, it surfaces actionable signals (feature requests, bugs, praise) from places users already talk about apps, then feeds them to your engineering and product workflows. If you manage a public roadmap with Shpd, Monitr connects the dots by automatically adding detected requests to your feedback board, closing the loop between user voice and shipped features.
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Frequently asked questions
Does Monitr detect feature requests only, or other feedback too?
Monitr detects five signal types: feature requests, bug reports, praise, crises, and noise. The ML classifier tags every mention, so you see the full picture of what users are saying about your app, not just requests. You can filter views to show only feature requests if you like.
How quickly does Monitr notify me of a feature request?
Monitr ingests reviews and mentions hourly and routes them to your chosen tool (Slack, Linear, Jira, etc.) within the same hour. Crisis-level signals trigger alerts every 15 minutes. Weekly digest emails summarise trends for stakeholders.
Can I see feature requests from competitor apps?
Yes, on Pro and Portfolio plans. Competitor app monitoring lets you watch your rivals' App Store and Google Play reviews for their feature requests, helping you spot market gaps and user priorities beyond your own user base.
What if I use GitHub for issues instead of Linear or Jira?
Monitr supports GitHub Issues as a native routing destination. Feature requests can be auto-created as issues in your GitHub repos, keeping everything in your existing workflow.
Does Monitr reply to or engage with feature requests?
No. Monitr detects and routes feature requests to your team; it does not post replies, DMs, or comments. It is a monitoring and signal-routing tool, not a social media management platform.
How does the correlation detection feature work?
Every hour, Monitr groups related mentions (e.g. ten users asking for dark mode across Twitter, Reddit, and the App Store) into a single narrative. This reduces noise and helps your team spot genuine demand without manually piecing together scattered feedback.