ChernKa is a restaurant scheduling app that gives users a wide spectrum of inside information so they can choose a restaurant they feel comfortable with, designed for busy professionals who don't have time to call ahead or wait in line.
In our digital era, people depend on mobile platforms for daily tasks. Existing scheduling sites often disappoint, especially for busy professionals. A mobile-friendly approach to reservations is crucial for seamless scheduling and business success.




Following the user journey and storyboard, I identified the key pain points within the current flow, crucial for understanding the challenges users face and paving the way for a more refined, user-centric design.
Limited Availability
Challenge in finding available seats at popular restaurants.
Communication Hassles
Difficulty in reaching and contacting the chosen restaurant.
Time Pressure
Time-consuming calls for reservations, and concern about how long it takes to confirm details.
Weather & Queue Discomfort
Displeasure with waiting in queues, especially in unfavourable weather.
Public Pressure
Guilt associated with being picky in a public dining setting.
Anxiety & Overwhelm
Feeling overwhelmed by the number of restaurant choices, and anxious about menu and table selection.
Uncertainty
Uncertainty about the availability of desired dishes and tables.
Menu Selection Concerns
Anxiety about choosing the right items, and worry about the quality of the offerings.
Order Accuracy
Concern about accurately remembering and communicating order details.
Undertaking a competitive audit, refining the information architecture, and translating insights into tangible paper sketches.
View full analysis →

An interactive interface enabling hands-on testing and refinement of key features for an enhanced user experience.

I planned usability tests across two rounds of studies. Insights from the first informed the progression from wireframes to mockups; the second, using a high-fidelity prototype, pinpointed the areas in the mockups that still needed refinement.


