While the checklist system captured real-time operational data for management, employees faced critical friction: task uncertainty (acute for new hires and part-timers), vulnerability to blame for systemic failures, cognitive overload during peak periods, fragmented task ownership, and zero performance visibility. The system required redesign to deliver actionable intelligence to management while eliminating ambiguity and creating accountability that protects frontline staff.
Introduction
Services
UX/UI Design
Role
Solo Product Designer
The Checklist Filling & Submission experience delivers clarity, confidence, and control: step-by-step task guidance eliminates ambiguity; binary completion with mandatory remarks for incomplete tasks and optional photo uploads establishes accountability; transparent ownership prevents workload imbalance; and automatic draft-saving protects progress across shift intervals. This design removes guesswork and stress while powering operational insights for management.
Solution
Research revealed critical opportunities: employees perform better with explicit expectations; built-in proof prevents unfair blame and improves morale; trust-based autonomy enables independent execution with managerial oversight; and completed checklists create measurable performance records. The design delivers binary Yes/No completion to simplify execution and reduce errors, mandatory remarks and photo proof for accountability, automatic draft-saving to protect progress and ensure timely submission, and scalability across employees, shifts, and locations prioritizing clarity, efficiency, and fairness while maintaining operational reliability.
Design with Empathy
Employees complete shifts confidently with explicit expectations, significantly reducing stress and ambiguity especially for new hires and irregular staff. Managers gain reliable task verification without micromanagement, while transparent responsibilities improve morale and fairness. The solution demonstrates that systems designed for operational intelligence can simultaneously solve human problems and enhance front-line experience.
Output