In iOS 27, when a user has configured a custom AirPods EQ (three-band lows/mids/highs), does that EQ apply on top of audio output from AVAudioEngine in my app, or only to media playback through AVPlayer/MPMusicPlayerController? My app generates therapeutic frequencies (e.g. 528 Hz pure tones) where precise frequency output matters - is there any API to detect or opt out of the system AirPods EQ?

What is one common assumption developers make about App Store growth that Apple's data suggests is often incorrect?

When users arrive from external marketing campaigns, are there behavioral patterns that distinguish high-quality traffic from traffic that may not contribute to long-term App Store growth?

Are there best practices regarding how frequently developers should update screenshots, promotional text, or metadata to maintain relevance without creating unnecessary volatility?

As user browsing behavior continues to evolve, how does Apple view the importance of App Preview videos relative to screenshots for improving conversion?

For apps that achieve sustained organic growth, does Apple observe stronger correlation with acquisition metrics or user retention and engagement metrics?

When reviewing App Store performance data across categories, are there common screenshot design patterns that consistently correlate with higher conversion rates, beyond simply showcasing app features?

What characteristics separate AI-powered utility apps that maintain growth over time from those that experience strong initial adoption but struggle with long-term retention?

Beyond campaign attribution, what indicators should developers use to determine whether Custom Product Pages are genuinely improving user acquisition quality?

My app has a sleep timer (up to 12 hours). Can I drive a Live Activity countdown in the Dynamic Island purely from the foreground/background app process using Activity.update(), without requiring a push notification server? And does Text(timerInterval:) in SwiftUI continue counting down accurately when the app process is suspended by the OS?

Is it appropriate to use the Foundation Models framework on-device to power a natural language sound recommendation feature (e.g. user types 'I can't focus' → model returns a frequency/playlist recommendation from a predefined set)? Or is this use case better served by a custom Core ML model? What's the recommended on-device inference approach in iOS 27 for this type of structured recommendation with a small output space?

With SiriKit deprecated in iOS 27, I'm implementing App Intents from scratch for a frequency/ambient sound app. Should I conform to AudioPlaybackIntent from the Media framework or build a custom AppIntent? Specifically, I need intents for: play a named frequency, start sleep timer with duration, stop playback. Is there a recommended Intent entity type for audio content that isn't music (i.e. not MusicKit-backed)?