Client Reviews & Diagnostic Evidence
Documented audit outcomes, engagement feedback, and diagnostic teardown observations from engineering and product leadership.
Resolving a 44% Drop-Off in Mobile Account Verification
High top-of-funnel install acquisition, but 44% of newly registered users dropped off immediately upon reaching SMS OTP verification screen.
Forensic trace revealed an unhandled client-side socket race condition where Android users on cellular connections had requests timeout silently without user error feedback.
Engineering implemented fallback polling and an explicit retry dialog. OTP completion rate rose by +21.4 percentage points in the subsequent release.
"Our data team had accumulated hundreds of redundant tracking events over 4 years of rapid feature releases. Sense Harbor Core performed a ruthless audit of our telemetry schema, identifying 42 disconnected events and giving our engineers a clean, canonical tracking specification. The engagement was delivered right on their 12-day estimate."
"Their diagnostic report highlighted that 58% of our B2B workspace invitees were dropping off because of an unexpected password complexity loop on mobile browsers. The team was candid about where our engineering team had made poor UX compromises. The technical depth of their findings justified the project scope."
"The funnel audit was technically thorough and caught two critical pricing currency mismatches on regional App Stores. My only reservation was that their initial findings presentation was extremely dense with telemetry logs, so we needed an extra follow-up session with our executive team to distill the high-level business takeaway."
"Before hiring Sense Harbor Core, we could not determine why Day-14 retention dipped so sharply for Android users while iOS stayed steady. Their cohort teardown discovered an unoptimized background sync worker that drained battery on specific Android OEM devices, prompting uninstalls."
Discuss Your In-App Drop-Off Metrics
Our analytics directors review production user funnels, instrumentation schemas, and drop-off symptoms under strict confidentiality.
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