Zing AI: Home & Gym Workouts

What it does

Zing is an AI-powered fitness app that acts as a personal trainer in your pocket. It guides users through an extensive onboarding quiz to gather data on goals, lifestyle, and physical attributes. Based on this information, it generates a personalized workout plan. The app's standout features include using the phone's camera for motion tracking to analyze exercise form, conduct fitness tests, and perform AI body scans for composition analysis.

Where it shines

Zing shines brightest in its commitment to deep personalization. The onboarding, while long, is meticulously structured into three phases (00:35, 01:26, 01:46), making the user feel like they are part of a comprehensive assessment. The AI-driven features, like the camera-based Fitness Test (04:06), are where the app truly demonstrates its value. It moves beyond a simple workout log and becomes an interactive tool that provides objective feedback, justifying its 'AI Coach' branding. Finally, the ability to create custom workouts on the fly (03:51) offers flexibility beyond the main prescribed plan.

UX highlights

Structured Onboarding: The quiz is broken into clear, thematic chapters ('Your Body,' 'Activity Level,' 'Lifestyle'), which helps manage user expectations during a long data-gathering process.
Visual Quiz Inputs: Instead of text-heavy questions, the app frequently uses visual selectors, such as choosing a body type (00:55) or target muscle groups (01:05), making the quiz faster and more engaging.
Trust-Building Loaders: While the AI 'builds' the plan, the loading screen at 02:34 displays user testimonials, a smart way to use downtime to build social proof.
Interactive Tooltips: The app uses contextual tooltips (03:24) to guide new users through the main interface without a disruptive, forced tutorial.
Clear Feature Previews: Before committing to a feature like the Fitness Test, the app shows a clear explanation of what it entails (04:13), including the exercises and duration.
Dual Workout System: The main dashboard separates the user's primary AI-generated plan from one-off 'Custom Workouts' (05:03), providing both structure and flexibility.

Monetization & growth

Zing's monetization strategy is assertive and front-loaded. After the user invests significant time in the onboarding quiz, they are met with a hard paywall (03:02) before they can access their personalized plan. The paywall presents three subscription options with prices broken down per day to make them seem more affordable. For users who dismiss this initial offer, Zing immediately follows up with a high-urgency secondary paywall (03:08) featuring a significant discount and a 3-minute countdown timer. This two-step approach aims to maximize conversions by leveraging user commitment and creating a sense of scarcity.

Who it’s for

The app targets individuals who are serious about starting a fitness journey but may not have access to or want to pay for a human personal trainer. It's ideal for those who value a data-driven, personalized approach and are motivated by seeing their progress tracked meticulously. The inclusion of both home and gym workouts, along with equipment options, makes it suitable for a wide range of fitness enthusiasts, from beginners to those returning to the gym.

Notes & opportunities

The onboarding process is incredibly thorough but also very long, which could lead to significant user drop-off. A potential friction point is the Apple Health connection error screen at 01:31; a more graceful fallback or clearer explanation could improve the experience. While the app is feature-rich, the main dashboard could feel a bit dense for a first-time user. Simplifying the initial view or providing a more guided tour of the main sections could help with user retention after the intense onboarding.