What it does
Verv is an AI-driven fitness and wellness app designed to create highly personalized health plans. Users complete an extensive quiz covering their goals, physical stats, lifestyle, and preferences. Based on this data, the app generates a tailored plan that includes workout routines, calorie targets, and a projected timeline to reach their desired weight.
Where it shines
The app's greatest strength lies in its comprehensive onboarding quiz (00:11-02:00). It feels less like a generic setup and more like a detailed consultation. This process builds a strong sense of personal investment before the user ever sees a workout. Another highlight is the plan summary screen at 02:13, where users can toggle between "Optimal" and "Accelerated" plans and see how their timeline and calorie goals change in real-time. This transparency gives users a feeling of control over their journey.
UX highlights
- AI Mascot: The app opens with a friendly robot coach (00:02), which personifies the AI and creates a welcoming, non-intimidating first impression.
- Interactive Inputs: Instead of boring text fields, Verv uses custom sliders for entering age, height, and weight (00:30-00:56), making data entry feel more playful.
- Visual Body Targeting: A standout feature is the interactive body map (01:28) that lets users tap the specific zones they want to focus on, a far more intuitive method than a text-based list.
- Data-Driven Social Proof: The loading screen at 02:03 is brilliant. It claims to be "analyzing the experience of 2,143,251 users," transforming a wait time into a powerful moment of credibility building.
- Clear Goal Visualization: The final plan is presented with a clean graph (02:14) that animates the user's projected weight loss journey, making the goal feel tangible and achievable.
Monetization & growth
Verv uses a hard paywall strategy, gating access to the full plan behind a subscription. After the user invests time in the detailed quiz and sees their personalized plan summary, they are presented with the payment screen at 02:23. This screen is loaded with conversion tactics: a prominent before-and-after image, a carousel of user testimonials with star ratings, and multiple plans featuring significant discounts like "SAVE 56%". By demonstrating clear value first, the app aims to make the purchase feel like a necessary final step.
Who it’s for
This app is ideal for individuals who are new to fitness or feel overwhelmed by generic workout programs. It targets users seeking a structured, data-driven approach to weight loss and wellness who appreciate a high degree of personalization. The experience is tailored for someone who wants a clear 'plan of attack' without the cost or complexity of hiring a human personal trainer.
Notes & opportunities
The onboarding flow is incredibly thorough, but its length could be a potential drop-off point for users with low initial intent. The app also presents system-level permission prompts for tracking (00:09) and notifications (01:26) directly, without any warm-up screens to explain the benefits. Adding context beforehand could improve opt-in rates and feel less abrupt to the user.