How WeGoClean turned early user feedback into proof of concept

WeGoClean approached us to bring their vision of an Uber-style on-demand cleaning app to life.

‍Cleaning app

‍Mobile app

We helped WeGoClean design and develop a cross-platform MVP that captured their core features, real-time booking, cleaner matching.

About the client

WeGoClean is a mobile app that brings Uber-like convenience to the cleaning industry. Users can instantly book trusted, vetted cleaners on demand through a slick, easy-to-use mobile interface—choosing time, location, and type of cleaning with just a few taps. WeGoClean’s mission is to simplify home and office cleaning by making it as seamless and reliable as ordering a ride.

Challenge

WeGoClean faced the challenge common to many marketplace apps: validating demand and user experience for an on-demand cleaning service before a full launch. They needed to:

Build an MVP mobile app that captured the essence of Uber-style instant booking and transparent pricing
Understand early users’ expectations around speed, reliability, and app usability
Avoid over-investing in features without clear proof of market fit
Gather real-world usage data and feedback from both customers and cleaners

The solution

To tackle these challenges, WeGoClean focused on:

Lean MVP Design: Delivered core features for real-time booking, cleaner matching, GPS tracking, and payment. all optimized for mobile.

Early User Recruitment: Launched a closed beta to recruit initial users and cleaners eager to test the on-demand cleaning experience.

In-App Feedback & Analytics: Embedded tools to capture feedback and monitor user behavior in real-time to identify friction points.

Agile Iterations: Rapidly improved app performance, booking flow, and cleaner availability based on early feedback.

Implementation process

The development process focused on core Uber-style features such as a search and match algorithm, real-time availability, price transparency, and secure payments. After building these key elements, WeGoClean released the MVP to a select group of users in targeted markets to test demand and the app’s interface on both iOS and Android devices. To capture user experience from booking through job completion, they integrated in-app surveys, interviews, and analytics as part of a continuous feedback loop.

Results & impact

Early users embraced WeGoClean’s simplicity and quick booking process, confirming strong market demand and validating the core concept. Improvements driven by user feedback resulted in a 30% boost in repeat bookings, significantly increasing user retention and satisfaction. This successful proof of concept also helped the company secure seed funding by demonstrating strong user engagement metrics.

"Turning our vision into a functional MVP with real users was a critical step for us, and the team delivered beyond expectations. From clean UI design in Figma to a robust React Native app backed by a solid Node.js and MongoDB infrastructure, every piece came together seamlessly."

Felix

Founder & CEO

Design UX UI technology

We used Figma for collaboration and design, leveraging its powerful cloud-based platform to enable real-time teamwork between designers, developers, and stakeholders. Figma’s intuitive interface allowed us to create and iterate on wireframes, prototypes, and high-fidelity UI designs efficiently, ensuring everyone stayed aligned throughout the project.

Development stack

WeGoClean was built using a modern, scalable tech stack designed to support real-time interactions and seamless user experiences across platforms. Key technologies included:

React Native: Enabled the development of a high-performance, cross-platform mobile app for both iOS and Android.

Node.js: Powered the backend with a fast and scalable environment to manage user authentication, bookings, and service workflows.

MongoDB: Used as the primary database for storing user profiles, cleaner details, and transaction histories with flexibility and speed.

AWS: Provided a reliable cloud infrastructure for hosting, storage, and scalability to support future growth and high availability.