MobileSignalIQ
Know which mobile journey needs attention — and why.
MobileSignalIQ connects customer feedback, releases, Android/iOS differences, real-device journeys and performance signals to show product and engineering teams what deserves investigation first.
Android + iOS · No SDK · No source code · No production access
Your dashboards can be green while customers are still failing.
You already have the tools. They just don't tell the whole story together.
MobileSignalIQ
What those signals mean together around a customer journey.
What changed, which journey is affected, and what deserves investigation first?
See what becomes visible when the signals are connected.
A low rating isn't intelligence. A negative review isn't intelligence. A release date isn't intelligence. The correlation is.
Illustrative pattern based on our outside-in research method. Not customer data. Outside-in signals show where to investigate, not confirmed root cause.
Questions your mobile team should be able to answer quickly.
What changed after our last release?
Connect version movement with journey and customer signals.
Is Android behaving differently from iOS?
Surface platform-specific divergence before averages hide it.
Are customers repeatedly describing the same issue?
Turn scattered complaints into journey-level patterns.
Which issue deserves attention first?
Prioritize evidence by journey and customer impact — not by whoever is loudest.
Did the last fix actually improve things?
Track whether the underlying signals improve after the next release.
Built for teams where mobile experience directly affects the business.
Best suited to consumer-facing Android and iOS apps with frequent releases and commercially important customer journeys.
For mobile, digital product, engineering and quality leaders. See the view for each role →
From scattered signals to one investigation priority.
Connect the evidence
Customer feedback, platforms, releases, journeys and competitive context.
Correlate around the journey
Signals are mapped to login, discovery, cart, checkout, payment, fulfilment and loyalty.
Prioritize what matters
Not another list of issues: the few areas that deserve investigation first, and why.
Track what happens next
See whether a problem persists, improves or appears elsewhere after the next release.
Get your free Mobile Intelligence Snapshot.
Send us your public iOS and Android app links. We'll create a concise 2-page outside-in snapshot showing what becomes visible when your mobile signals are viewed together.
Operational experience turned into a repeatable intelligence layer.
MobileSignalIQ came from a recurring problem inside large digital engineering teams. Founder Mayank Gupta brings 15+ years across mobile engineering, high-volume transactional products, releases, reliability and engineering leadership.
MobileSignalIQ is currently in development. We run Snapshots and validation work now while we build the continuous intelligence platform. See what's available today →
A snapshot tells you where you are. Continuous intelligence tells you what's changing.
MobileSignalIQ is being built to keep watching release-to-release movement, journey health, complaint themes, Android/iOS divergence, device and OS signals and competitive movement, and to show whether previously identified problems get better or stay.
Want to go beyond the Snapshot? Talk to us about validating the findings →
What teams ask before they start.
Good. MobileSignalIQ doesn't replace device testing. It helps decide which journeys and conditions deserve investigation, using signals beyond testing alone.
Those tools provide valuable technical telemetry. MobileSignalIQ connects technical signals with customer feedback, releases, platform differences and journey context.
QA validates expected product behavior. MobileSignalIQ adds outside-in customer and platform evidence to help QA, product and engineering decide where validation should focus.
Not for the initial Snapshot. It starts from publicly available signals: no SDK, no source code, no production credentials and no customer data.
Not from outside-in signals alone, and we won't pretend otherwise. MobileSignalIQ identifies evidence-backed patterns and priorities. Root-cause confirmation requires reproduction, telemetry or internal engineering evidence.
Not yet. MobileSignalIQ is in development. We run Snapshots and validation work now while we build the continuous platform.
Your customers may already be telling you where the journey is breaking.
In a review. After a release. On one platform. On one device. In a dashboard nobody connected to the rest. See what those signals say when they're viewed together.
Android + iOS · No SDK · No source code · No production access
P.S. You don't need another dashboard full of mobile data. You need to know which customer journey deserves attention next. If the signal is only visible after customers complain, you're already late.