Company
Hatch

Role
Product Designer,
User Researcher

Duration
1 month

Tools
Figma

CONTEXT

The Hatch Restore is a smart sleep assistant that includes a sound machine, sunrise alarm, smart light, meditation app, and an alarm clock. We focused on bringing the Restore from “Like to Love,” building out new user experiences and features while taking into consideration the hardware constraints.

THE GOAL

• Exploring strategic directions: understanding how we can make the Restore a product that users love and are delighted to use - ideating new features and functionality for how users can engage with the product.

• Improving ease of use: designing the mobile app in a way that reduces the confusion and frictions users may face when setting their routines (e.g., streamline onboarding, fine-tune interactions)

Ideation

concept sketches

Given the blue-sky nature of the project, we started out with early concepts to ideate ways that Hatch could expand on its value prop through the app. The concept sketches allowed us to do rapid iterations and generate a large number of ideas before honing in. Some initial ideas included:

• Routines as content: allow individuals to select pre-set wind-down routines and experience specialty routines developed by experts or figures. Routines often include sound and light combos as people get ready for bed

• Content combinations: offer content grouped in a way that is easier for discoverability, such as sound and light combinations that simulate a certain ambiance (e.g., nature, fireplace)

• Progress tracking: better help individuals keep track of their progress following their wind-down routines and understand how they can continue improving their rest quality

User Research & Testing

Onboarding flows & Low-fidelity mock-ups

We decided to focus on onboarding for routines. Routines are a major focus for Hatch, meaning it is critical for users to successfully and seamlessly get started setting up their routines. We ended up coming up with three different paths (forked, stacked, bundled), which we then tested with users through a low-fidelity Figma prototype.

RESEARCH INSIGHTS

Our research was split into overall insights and concept insights. The overall insights gave us more details into how users think about mindfulness and routines, as well as helped us understand how they wanted to interact with the Hatch app & device. The concept insights provided more specific feedback on the onboarding user flows from above.

High-fidelity mock-ups

We followed up by creating high-fidelity mock-ups for the Hatch onboarding process!