Category: Sports & Live Scores • Audit Tier: PRO
| Critical Flow & Feature | π Apple iOS (iPhone 15 Pro) | π€ Google Android (Pixel 8) | π Web Landing / PWA |
|---|---|---|---|
| 1. Cold Start & First Screen | 2.6s (Eager Load) Bottleneck | 2.8s (Eager Load) Bottleneck | 1.1s LCP (Core Vitals Pass) |
| 2. Paywall & Pricing Copy | Missing $0.77/wk micro-copy | Missing $0.77/wk micro-copy | Stripe Checkout + App Store Intent |
| 3. Push Permission Timing | Premature prompt at boot (26.8%) | Premature prompt at boot (27.2%) | OneSignal soft banner prompt |
| 4. Keyboard & Input Insets | Flawless InputAccessoryView | β Clash Observed (FLOW-4012) | Flawless HTML5 inputmode |
“SportScaler Football Tracker Baseline Diagnostic Sign-Off (v2.3.0): Initial health audit uncovered significant friction in cold boot latency (2.6s) due to 200+ eager-loaded media assets, premature push prompts (73.2% opt-out), and paywall price shock (82.4% bounce). Baseline App Shine Score is 71/100 (Grade B-). Under our 30-Day Complimentary Re-Audit Guarantee, developer implementation of prescribed Jira fixes is awaited for v2.4.1 re-audit.”
Core dashboard triggered 200+ synchronous uncompressed media requests during initial boot, causing network bottlenecks, main thread UI freezing, and high RAM allocation (210 MB).
Absence of lazy-loading virtualization on media grids; uncompressed PNG assets bundled on synchronous initialization path.
| MEASURED PERFORMANCE / CONVERSION METRIC | BASELINE (v2.3.0 Control) | TARGET KPI (v2.4.1 Goal) | STATUS |
|---|---|---|---|
| Initial Boot Requests | 247 | Hedef 38 | β³ Pending Fix |
| Total Initial Payload | 3.4 MB | Hedef 420 KB | β³ Pending Fix |
| Cold Start TTI Latency | 2.6s | Hedef 1.2s | β³ Pending Fix |
| Peak Boot Memory Allocation | 210 MB | Hedef 142 MB | β³ Pending Fix |
Paywall displayed full lump-sum annual price without weekly/monthly breakdown; dismiss button lacked WCAG AA contrast (1.8:1), driving an 82.4% immediate bounce rate.
Cognitive price shock from undivided pricing and low discoverability of trial terms and dismiss controls.
| MEASURED PERFORMANCE / CONVERSION METRIC | BASELINE (v2.3.0 Control) | TARGET KPI (v2.4.1 Goal) | STATUS |
|---|---|---|---|
| Immediate Paywall Bounce | 82.4% | Hedef <65% | β³ Pending Fix |
| Annual Subscription CVR | 1.94% | Hedef 2.40%+ | β³ Pending Fix |
| Dismiss Button WCAG Contrast | 1.8:1 (Fail) | Hedef 4.5:1+ | β³ Pending Fix |
| Trial Initiation Volume (Cohort) | 121 / 6,225 | Hedef 150+ | β³ Pending Fix |
System notification prompt fired at T+1.8s upon first app launch before user experienced any core product value, resulting in 73.2% opt-out and degrading Day-7 retention.
Context-free permission requesting without an introductory soft-prompt priming screen.
| MEASURED PERFORMANCE / CONVERSION METRIC | BASELINE (v2.3.0 Control) | TARGET KPI (v2.4.1 Goal) | STATUS |
|---|---|---|---|
| Push Permission Opt-In | 26.8% | Hedef 35%+ | β³ Pending Fix |
| Day-7 Active Retention | 14.1% | Hedef 20%+ | β³ Pending Fix |
| Opted-In Cohort Volume (14D) | 1,668 / 6,225 | Hedef 2,300+ | β³ Pending Fix |
Manual email registration form lacks real-time inline validation feedback on password complexity; validation errors are only returned via toast message post-submit, causing 31.4% abandonment.
Client-side input change listeners missing on password field; validation is evaluated exclusively on server-side response.
| MEASURED PERFORMANCE / CONVERSION METRIC | BASELINE (v2.3.0 Control) | TARGET KPI (v2.4.1 Goal) | STATUS |
|---|---|---|---|
| SSO Social Registration Adoption | 0% (Missing) | Hedef 35%+ | β³ Pending Fix |
| Manual Form Inline Indicators | Missing (Toast) | Hedef Eklenecek | β³ Pending Fix |
| Registration Flow Abandonment | 31.4% | Hedef <18% | β³ Pending Fix |
Title and subtitle character allocation, keyword density, screenshot readability, and app icon distinctiveness.
WCAG AA color contrast (SC 1.4.11), thumb-zone touch targets, input cognitive friction, and visual clutter analysis.
First Contentful Paint (FCP), Largest Contentful Paint (LCP), Cold Start latency, asset compression, and memory usage.
Authentication and signup friction, checkout flow drop-offs, broken link detection, and inline validation resilience.
Direct teardown against top category rivals, organic growth loops, and social proof acquisition triggers.
Day-1, Day-7, and Day-30 retention curves, contextual push notification triggers, and habit formation loops.