

Time is finite—and managing it shouldn’t feel chaotic. Schedually rethinks how time-blocking fits into modern life. By unifying data from multiple calendar sources and simplifying it through accessible design patterns, it gives users an honest picture of their commitments.
The tool’s calm UX, consent-first automation, and adaptive visual hierarchy make focus something you can actually schedule—and protect.

Designing Schedually began with a single question: Why do the very tools built to manage our time often make us feel like we have less of it?
The project unfolded in two phases—first exploring user behavior and psychology around scheduling, then translating those findings into an interaction model that promotes focus and trust.
I studied established productivity tools like Sunsama, Motion, Akiflow, and Cron, noting that while each simplified scheduling mechanics, few addressed the emotional toll of context-switching and alert fatigue. Academic research on time-blocking (via University of Illinois) and cognitive load theory supported my hypothesis: structure increases clarity, but only when paired with autonomy.
Schedually’s process blended behavioral research, UX system modeling, and interface prototyping to build something familiar yet fundamentally calmer—a concept where automation and human intent coexist seamlessly.

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I began by studying how professionals like freelancers, managers, and hybrid-team members manage multiple calendar streams—each with its own rules, APIs, and hidden friction. Through contextual interviews and short diary studies, I found consistent themes: alert fatigue, double-booking, and a general mistrust of automation.
These findings mirrored research from interruption science, which shows that knowledge workers switch tasks roughly every three minutes and can take over half an hour to recover focus afterward. I also referenced a Doodle enterprise UX case study that highlighted users’ desire for transparency when automation takes scheduling actions on their behalf.
Synthesizing these insights, I developed a set of design heuristics to guide Schedually’s UX:
These principles became the foundation for how I approached the interface and interactions in the next phase.
With the research in hand, I moved into design and prototyping—building Schedually as a multi-calendar time-blocking tool that could merge calendars, detect conflicts, and proactively carve out space for focused work.
I studied Calendly’s redesign experiments and the Plan.io research on time-blocking, both of which emphasized simplicity and cognitive relief. Inspired by those approaches, I prioritized designing calm feedback loops: interactions that narrate what’s happening rather than silently shifting a user’s schedule.
The prototypes introduced:
In usability simulations, participants completed scheduling flows 30% faster and reported higher confidence in their ability to manage time across multiple calendars. Those results validated my initial hypothesis—that when people trust their tools, they regain both clarity and calm.
Schedually ultimately became a design framework for what I now call trust-based automation—a reminder that great UX doesn’t just save time; it gives people their time back.
After refining the prototypes, I wanted to see if Schedually actually delivered on its promise: could a unified time-blocking tool reduce cognitive overload and help users feel more in control of their day?
I conducted usability sessions where participants managed multiple calendars, blocked focus time, and tested automation features in simulated real-world conditions. These sessions gave me measurable insight into how well the design balanced structure with autonomy.
While Schedually remains a concept project, the design outcomes point toward significant real-world impact:
Beyond concept validation, the process demonstrated my ability to: