Project Goal:

The Discharge Importer Tool (DIT) aims to streamline data entry for clinicians by automatically extracting relevant information from patient discharge reports using natural language processing (NLP). Its split-screen interface displays the discharge letter on the left and the input form on the right, allowing users to review and confirm the accuracy of pre-filled data fields.

My Contributions:

1. Target Group Research: Gathered research on the target group, identifying user needs and creating scenarios to ensure the DIT aligns with clinician workflows.
2. Prototype Testing: Tested the current prototype with clinicians to gather feedback on usability and functionality, informing necessary adjustments.
3. Iterative Design: Iterated the design through wireframes, mockups, and UI designs, refining the user interface based on clinician feedback and usability testing.
   

   
4. User Scenarios Development: Created user scenarios to illustrate the context of interactions with the DIT, ensuring that the tool meets the needs of diverse clinician personas and their workflows.
   
5. Functional Requirements and NLP Prediction: Established detailed functional requirements to guide DIT development, including the design of NLP prediction presentations that minimize bias and enhance user trust in the system.

Outcome:

The outcome of this project is a comprehensive design document that outlines all aspects of the Discharge Importer Tool (DIT). This document includes user requirements, functional specifications, and design rationales, ensuring a clear understanding of the tool’s functionality and workflows. By providing detailed guidance on the implementation of the DIT, it aims to facilitate efficient development and integration into clinical settings.

Project Goal:

The goal of the patient Virtual Assistant (pVA) is to support stroke patients by helping them complete medical questionnaires and providing access to stroke-related information. It is designed to improve patient engagement by offering a straightforward way to manage their own health data. Ultimately, the pVA aims to streamline the collection of patient-reported outcome measures, contributing to better-informed stroke care.

My Contributions:

1. User Needs Assessment: Conducted research to understand patient needs, focusing on accessibility and usability for stroke survivors.
2. Personas and Scenario Development: Developed seven detailed personas and scenarios to guide the design of the pVA, ensuring it effectively addresses diverse patient needs and interaction styles.
3. Prototype Development and Iteration: Created initial Figma prototypes and led Wizard of Oz workshops to simulate interactions, iteratively refining the design based on direct patient feedback and usability insights.
4. Conversational Flow Framework: Established a framework for the VA's conversation flow, drawing on literature analysis to ensure natural and effective communication with patients.
5. Functionality and Interface Design: Defined core features and interface elements specifically for stroke patients, focusing on usability and intuitive navigation.
6. Requirements Documentation: Compiled comprehensive functional requirements and specifications, providing a clear development roadmap that aligns with patient needs and project objectives. I visualised the process of one of the requirements, which was linking the pVA to the RES-Q database. Below you can see the original mapping of the process and my redesigned version:
7. Continuous Design Improvements: Integrated findings from usability studies and workshops into ongoing design iterations, ensuring the pVA remains user-centered and effective in real-world applications.

Outcome:

The outcome of the pVA project is a comprehensive service design document that outlines the final design and functionality requirements of the patient virtual assistant. This document serves as a crucial resource for developers, detailing user needs, interaction scenarios, and usability insights gathered from stroke survivors. By providing clear guidelines and specifications, it ensures that the pVA effectively meets the accessibility and usability needs of its intended users.

Additionally I designed an academic poster for one of the pVA user studies:

Project Goal:

The goal of the clinician virtual assistant (cVA) is to enhance healthcare quality by providing clinicians with data-driven insights and visualizations that support informed decision-making. It aims to streamline the analysis of care quality indicators, enabling clinicians to identify trends, assess the impact of treatments, and benchmark against guidelines and peer institutions. By facilitating easy access to relevant data, the cVA empowers clinicians to improve patient outcomes and optimize care delivery.

My Contributions:

1. Design and User Experience: Developed the overall design and user experience of the cVA, focusing on usability and efficiency for clinicians.
2. Figma Prototyping: Created interactive Figma prototypes to visualize the cVA's interface and functionality, enabling iterative feedback and refinement.
3. Frontend Implementation: Collaborated on the frontend implementation of the cVA, ensuring alignment with design specifications and enhancing user interaction.

Outcome:

The outcome of the clinician virtual assistant (cVA) project is a fully designed and user-tested tool that helps clinicians efficiently analyze care quality data through intuitive visualizations. The cVA supports informed decision-making by enabling easy access to trends and benchmarking insights, which ultimately aids in improving patient outcomes. With a clear design and detailed functionality requirements, the project provides a solid foundation for seamless development and implementation in clinical settings.

Project Goal:

I designed a system tailored for the shift planner in a print workshop, focusing on efficient scheduling and workforce overview. The main priority was to create a user-friendly interface for the shift manager, allowing quick planning of both regular workers and temporary staff. While the solution (see sketches) also considers the needs of department heads and temporary workers, the primary emphasis was on the shift planner’s experience. The initial visual concept was created in Figma for both desktop and mobile views.

Design Strategy:

1. Identify User Needs: To tackle this design task, I began by identifying the key user needs—focusing primarily on the shift planner. In a real-world scenario, I would typically conduct user interviews or observe shift planning in action (e.g., on paper or in existing tools) to understand the task flow, key priorities, and common challenges. This helps ensure that the solution is tailored to the actual user workflow and uncovers pain points or opportunities for improvement in the current process.
2. Create System Requirements: Based on the user needs I had previously identified, I created a set of system requirements to guide the design. For example, the shift planner needs to be able to easily assign available personnel to shifts, quickly identify if any shift is missing key workers, and make fast adjustments such as swapping shifts. It's also important to provide a clear overview of employee availability and workload, especially in physically demanding environments where overworking staff must be avoided. Additionally, the system should support fair distribution of hours, particularly for part-time or temporary workers.
3. Design sketching: I created a series of basic design sketches to explore the key features and overall layout of elements on the screen. These early visual drafts helped me think through the user interface, prioritize functionality, and begin shaping a clear structure for the shift planning experience.
4. UI Design in Figma: I designed the user interface in Figma with a strong focus on usability for the shift planner. The interface allows users to add workers to shifts, drag and drop both workers and shifts, and clearly indicates if a shift is missing required personnel. The weekly schedule is easy to navigate, with the option to switch between weeks seamlessly. A sidebar provides quick access to worker availability and the number of assigned shifts per employee. To prevent confusion during planning, workers only see schedules once finalized—planners can set a date range (e.g., a week, month, or three months) and send the schedule when ready. Before sending, the system automatically checks for unfilled shifts to ensure completeness.
5. Creating an App Design: I also created mobile versions of the interface, focusing on maintaining visual and interaction consistency with the web app. Given the limited screen space on mobile, I adapted the layout to display one day at a time, allowing users to swipe horizontally between weekdays. To switch between weeks, users can use arrow buttons or select from a dropdown. The "Send Schedule" action is positioned at the bottom for easy access. Features with lower priority, such as worker availability and shift counts per employee, are accessible via two icons in the top right corner, requiring an additional interaction to keep the main screen clean and focused.
   

   

   

Project Goal:

I have designed a shared expenses app with my partner after we struggled to find one with good usability and design. Together, we are implementing and refining it to be simple, sleek, and easy to use—perfect for groups settling costs, like trips where everyone pays for something.

Group Expense Screen:

1. Search previous expenses: Identified the need for users to verify existing expenses and designed a search feature that supports quick lookup, helping prevent duplicates and improve clarity in the expense tracking flow.
2. Overview of Total Expenses Amount: Recognized that the amount is the most critical piece of information for users when reviewing expenses. Designed the layout to ensure the amount remains visible at all times, reducing cognitive load and helping users stay oriented as they interact with the interface.
3. Reminder System to Nudge Users: Observed that group members often forgot to settle their shared expenses. To address this, I introduced a user-friendly reminder feature that allows users to ping others who haven’t paid yet—making it easier to follow up without awkwardness and keeping payments on track.
4. Clear Color Coding: To reduce ambiguity and improve at-a-glance understanding, I introduced a clear color-coded system indicating whether a user owes money or is set to receive it. This visual distinction helps users quickly grasp their status without needing to read through details.

New Expense Creation:

1. Recent Expense Preview to Prevent Duplicates: To help users avoid accidentally adding the same expense twice, I designed a feature that surfaces the most recent expense with the same name as you're typing. This gives immediate context and reduces the chance of duplicates being created.
2. One-Tap Shortcut for Even Splits: Recognizing that evenly splitting expenses is the most common use case, I added a quick-access shortcut to simplify the process. This reduces friction and speeds up the flow, letting users divide costs with a single tap.
3. Flexible Custom Splits for Uneven Expenses: To support more complex scenarios like splitting by percentage or covering specific shares, I designed a custom split option. This feature gives users full control over how expenses are divided, ensuring fairness and adaptability for any situation.
4. Clear Payout Flow: Who Pays and Who Gets Paid: To avoid confusion during settlements, I focused on making it easy to distinguish between payers and receivers.
5. Tagging System for Smarter Organization and Insights: Introduced a tagging feature that lets users categorize expenses—making it easier to search by type or context. Beyond organization, this also lays the groundwork for future data visualizations, like tracking spending trends across categories or months.

Quick Overview:

1. Expense Overview for Clear Group Balances: Designed an overview screen that summarizes who owes what within the group. This high-level view helps users quickly understand outstanding balances, reducing confusion and making it easier to settle up.