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Enhancing Health Assessments: QA Solution for YOU(th) Health’s AI-driven App

Overview

YOU(th) Health Hub is a mobile-first platform that delivers AI-powered wellness assessments tailored to younger demographics. By leveraging smartphone data and behavioral inputs, the app offers users fast, accessible, and personalized health checkups positioning itself at the intersection of digital health and youth engagement.

Project Goals

The primary goal for YOU(th) Health was to validate syncing accuracy, session stability, and AI feedback integrity across devices used by young users. Testiva was engaged to reduce early drop-offs, improve trust in assessments, and enable scale-up across diverse mobile devices and usage environments.

Challenges

While the app offered a compelling concept, key issues were blocking growth and retention:

  • Syncing errors across Android and iOS versions caused health reports to appear incomplete or inconsistent, damaging user trust in AI-generated insights
  • Data transmission delays impacted the perceived speed of assessments, making the app feel unreliable during demos and onboarding
  • Frequent app crashes on lower-spec phones hurt user experience in cost-sensitive regions, limiting reach in high-volume youth markets
  • UX issues around progress tracking and goal feedback discouraged daily engagement, leading to low retention after the first week
  • Multi-user authentication failures created confusion in shared-device scenarios, especially among teens and families, leading to loss of session continuity and higher drop-offs

 

These problems resulted in stalled app adoption, poor reviews, and a widening gap between intended impact and actual user behavior.

Testiva’s Solutions

We focused on building a QA foundation that supported both technical reliability and youth-focused usability:

  • Designed a coverage first test approach, aligning manual testing with sprint cycles and user personas
  • Created test plans in JIRA, covering edge cases around login states, offline use, and incomplete data entries
  • Simulated real-world teen usage patterns: shared devices, interrupted sessions, and inconsistent log habits
  • Tested across diverse Android and iOS devices, prioritizing regions with youth adoption spikes
  • Reported and verified over 200 critical bugs, including session handling, API sync mismatches, and goal feedback delays
  • Conducted regular smoke and regression tests to stabilize key features before marketing pushes or investor demos
  • Recommended UX adjustments based on QA feedback to reduce abandonment during onboarding

Results & Impact

Testiva’s QA work led to measurable improvements in both stability and adoption:

  • The app’s authentication flow became robust enough to support multi-user use cases, improving session reliability
  • Sync issues dropped significantly, enabling the AI system to deliver more consistent wellness feedback
  • Crash rates fell across all devices, helping the app scale into budget and mid-range phone markets
  • Overall app performance improvements led to 90% higher user satisfaction based on follow-up feedback
  • User retention improved after key usability fixes, and the product saw better traction in demo environments and partner evaluations

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