Rote
Effortless scheduling done, one block at a time
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Our Mission

Giving everyone the power to control their time.

Time-Blocking

Rote allows users to take control over their time by allowing users to break down tasks into multiple time blocks throughout their schedules.

Machine Learning

Rote uses machine learning to analyze the patterns in the users schedules and incorporates the data along with other factors such as optimal attention span in making suggestions for time-blocks. Hence, scheduling with Rote only becomes easier over time.

Simple, Intuitive Design

We understand the importance of simple, intuitive design. Rote allows the user to add tasks and events into their schedule with minimum effort.

The Design Process

This is how Rote was made

  • September 22nd

    CS147, where it all started.

    Gavin, Haiyin, Young and Ian met in the focus section and brainstormed many different ideas. We took those ideas and went through quick iteration prototypes on post-it notes and whiteboard discussion. We were well on our way to Rote.

  • October 2nd

    Needfinding

    PPT

  • October 9th

    POV & Experience Prototypes

    PPT

    REPORT

  • October 16th

    Concept Video

    PPT

    CONCEPT VIDEO

  • October 23rd

    Low-Fi Prototype

    After coming up with a couple possible ideas, we made low-fi prototypes on paper cutouts to mimic a mobile experience. We tested the experience and feeling of this idea by interviewing strangers. We took extensive notes on what users liked and what they didn’t.

    PPT

    REPORT

  • October 30th

    Medium-Fi Prototype

    Using these core ideas, we sat down at the drawing board and came up with a few solutions to solve the concerns we found through interviews. After finishing up a digital prototype using inVision, other classmates conducted heuristic evaluations of our medium-fi prototype.

    PPT

    README

  • November 6th

    Heuristic Evaluation

    HEURISTIC EVALUATION

  • November 20th

    High-Fi Prototype

    The high-fi fidelity prototype was the last step in the process. We took into consideration the heuristic evaluations and drafted a real-working app using XCode with all the new design features minus a few functional methodology, such as NLP (natural language processing) and ML (machine learning).

  • December 4th

    Poster and Pitch

    Rote iOS app

    Final Report

    Rote Poster

    README

  • Be Part
    Of Our
    Story!

People who make Rote

Block_Dudes.

Haiyin Wang

Developer

Ian Lewis

Product Manager

Gavin Mai

Designer

Chang Young Park

Developer

Contact Us

Let's keep in touch!