We empower the top brands around the world to bring smart digital products and services to life, iterate and maximise business value
Noodl promotes an extremely fast, iterative prototyping approach to quickly explore, innovate and prove business value. On our platform we create design and prototyping environments tailored around your product and services. It's a unique tool used by designers and developers as an innovation and product design tool across industries, from automotive to mobile.
Iterate to perfection
Samsung used Noodl to rapidly iterate the user experience for their wearable platform. During the most intense phases, more than 10 design iterations a day was created and tested.
As a result, Samsung turned its wearable products, for example Galaxy Gear S2 and Galaxy Gear Fit2, into having best-in-class user experiences, winning multiple design awards.
It is fun and fascinating to use Noodl. The tool is great not only for fast and easy design prototyping, but also for collaborating with the engineering team. I highly recommend it for anyone who’s interested in design prototyping.
Turn your data into user value
Ford used Noodl to turn data into new user experiences. Noodl was connected to real vehicle data, recorded or live and designers were able to create new user experiences using data as a design medium.
Experiment lead times went from weeks to hours helping Ford discover new ways to solve problems for drivers using data driven contextual experiences.
Minimize user experience friction
Stockholm Transit, SL, with over 800 000 passengers daily, used Noodl to iterate, test and refine specific user journeys that had been identified as costly bottlenecks with high friction for certain user groups. Rapid prototyping, producing high fidelity prototypes, allowed for in context user testing with real passengers in the subway, as well as tracking usage and evaluating new designs.
Through this, SL avoided late re-designs and reduced user experience related errors to a minimum.
Read more about the prototype driven process used by SL here