Dreame Wash｜Smart Device APP

Goal：

Design an app that serves as the entry point to the smart home ecosystem, using a unified information architecture and AI capabilities to deliver a faster, clearer, and seamless hardware–software experience.

Challenges:

With device capabilities varying widely, users understanding things in different ways, and expectations rising overall, the biggest challenge is creating an interaction system that works across product lines, grows with the ecosystem, and keeps hardware and software perfectly in sync at all times.

Key Results:

• Improved user clarity and task efficiency through a unified navigation system, reducing cognitive load across devices.
• Built a scalable UX foundation that supports ecosystem growth and AI-driven experiences.
• Demonstrated strong user intent and early retention despite limited market exposure, confirming the product–market direction.

目标：

设计一款作为“家庭智能设备入口”的 App，通过统一的信息架构与 AI 能力，实现更快捷、清晰、无缝的软硬件联动体验。

挑战：

在不同设备能力差异很大、用户理解方式各不相同、整体体验预期不断提高的情况下，最大的挑战是做出一套跨可复用、能随生态一起成长、并能保持软硬件状态实时一致的交互体系。

关键成果：

• 统一的信息架构显著提升用户理解效率，降低跨设备使用的学习成本。
• 搭建可扩展的 UX 基础，为未来生态扩张与 AI 驱动体验奠定能力。
• 在曝光有限的情况下仍获得良好的留存与活跃表现，验证了产品方向的正确性。

01｜Insights

User Needs:

02｜Design Approach

Frame Restructuring：

To improve the user experience of controlling multiple devices, we first examined the interaction framework and identified several key issues:

为了提升用户控制多种设备的体验，我们对交互框架层面进行梳理，发现以下问题：

Replace plugin-style：

The previous plugin-based pages suffered from poor performance, frequent lag, and limited functionality.

We transitioned to a native interaction model, replacing plugin-style access to achieve smoother, higher-performance device control and to allow the interface to scale for future capabilities.

旧版插件性能不稳定，容易卡顿或闪退，且功能受限。 因此我们采用原生交互方式，去插件化，统一设备控制的交互语言，让体验更丝滑、高性能，并为未来能力扩展预留空间。

Redesign device experience：

In the previous interaction design, the logic between self-cleaning and drying was unclear:

• Self-cleaning automatically triggered drying, while Drying could only be activated independently.

Certain drying modes configured by users would only take effect after a self-cleaning cycle and could not be started on their own.

• As a result, when users tapped the Drying button and saw behavior that did not match their configured mode, they often assumed the device was malfunctioning—leading to frequent complaints.

在旧版交互中，自清洁与烘干逻辑不清晰：

• “自清洁”会同时触发烘干，而“烘干”却只能独立触发；用户设置的部分烘干模式只能在自清洁后生效，无法单独启动。
• 当用户点击烘干按钮却发现与自己设置的模式不一致时，会误以为设备异常，从而形成高频投诉。

将原本杂糅的“自清洁 + 烘干”重新拆分为：

• 洗烘一体
• 单独清洗
• 单独烘干

帮助用户更好理解机器动作，降低操作成本。

AI assistant：

Introduce an AI assistant for real-time support, contextual interaction, and emotional connection.

AI 作为全局能力，贯穿设备解释、错误引导、操作建议，让体验更主动。

Integrating Purchase Into Onboarding：

By bringing the store entry of brand new products earlier into the device onboarding flow, users experience a more natural loop from purchase → setup → use, which in turn improves conversion.

通过将新产品的商城入口前置到设备添加流程中，让用户在“购买 → 配网 → 使用”之间形成自然闭环，提高转化率。

05 ｜ Results & Review

Through this project, I realized that unlike on-device UX, the app provides direct access to user behavior and real-time data, making it a critical entry point for the entire smart-home ecosystem. This brings both significant opportunities and greater complexity.

For me, this project marked an important shift from designing isolated hardware experiences to shaping a broader, intelligent ecosystem strategy.

在这个项目中，我意识到相比硬件端的单点体验，App 能够连接更多设备、收集更直接的用户数据，因此承担着更关键的生态入口角色。

它不仅需要解决当前的控制与可视化问题，还必须为未来的智能化、多人家庭场景和生态扩张做好布局。 这意味着机会更大，也伴随更高的复杂度。

对我来说，这是从“硬件体验设计”迈向“智能生态体验设计”的重要一步。