DayFlow - AI Schedule Management App
A productivity app that helps users manage their schedules and tasks more efficiently using AI.
Timeline
Oct ~ Nov 2025
Team
5 UI/UX Designer
Role
UI/UX Design
Skills
App Design, Prototyping, Figma
Long story short
An AI assistant that plans your day, so you don't have to.
DayFlow is a productivity app that helps users manage schedules and tasks more efficiently with AI. I worked as one of five UI/UX designers, taking the product from research through a complete, developer-ready design in Figma. The app has a working codebase on GitHub and has not yet been publicly released.
Designed the AI scheduling flow — users describe their day in plain language and DayFlow turns it into a structured, editable schedule.
Collaborated in a 5-designer team: shared design system, split feature ownership, and weekly design critiques to keep the product coherent.
Goals
What we set out to solve
Most schedule apps make users do all the work: create every event, estimate every duration, reshuffle everything when plans change. Our goal was to flip that — let the AI handle the tedious arranging, while the user stays in control of what actually matters to them.
As a team we defined three success criteria: planning a full day should take under a minute, rescheduling should never require starting over, and the AI's suggestions should always be transparent and easy to override.
The Challenge
Making AI feel helpful, not bossy
The hardest design problem was trust. When an app rearranges your day for you, it can easily feel like it is taking over. Every AI action needed a clear explanation of why, a one-tap way to undo, and an obvious boundary between what the user decided and what the AI suggested.
Working with five designers added a second challenge: keeping one consistent product voice across screens owned by different people. We solved it with a shared design system and strict component rules in Figma.
Process
User flows
I mapped the core flows: quick-add by natural language, AI day-planning, and drag-to-reschedule. We deliberately kept the happy path to three taps or fewer, and every AI step has a manual fallback so the app is still fully usable with the AI turned off.
Design system
With five designers shipping screens in parallel, we built a shared Figma library first: color tokens, type scale, spacing rules, and a component set covering cards, chips, sheets, and the AI suggestion banner. Nothing went into a final screen unless it came from the library.
UI Design
Home & timeline
The home screen is a vertical timeline of the day. Events sit on the line, AI suggestions float beside it in a distinct style, and free time is visible instead of hidden — because seeing open space is what makes a plan feel achievable.
AI planning
Users type or dictate what they need to do, and DayFlow drafts the day. Each suggested block shows its reasoning in one line and can be accepted, moved, or dismissed individually — never all-or-nothing.
Onboarding
Onboarding asks three questions — wake time, work hours, and priorities — then immediately builds a sample day. Showing value on the first screen, before any signup friction, was a direct response to our research on abandoned planners.
