Cori Lobel 👋 Business Intelligence Analyst | Aspiring UX Researcher | MS of Human Centered Design @ Pace University
A Bit About Me
A User Centric Researcher and Data Analyst striving to uncover the ‘why,’ and driven by an eagerness to understand how people interact with technology. Perpetually aiming to gain actionable insights from synthesizing complex outputs with a continued focus on users’ intuitive engagement with media and tech.
Skills:
Transforming complicated data into digestible + concise information + actionable insight. Passion for learning and empathizing. Training + managing team members. Project management (tracking timelines, schedules, hours allocation). Data collection via interviews, usability studies, and more. Identifying performance and usability trends. Cross functional collaboration.
Software:
PowerPoint, Excel, Figma, Miro, Demographics Pro, Helixa, Quid, BrandWatch, SQL
My Class Work
HealthSphere
The Task: Create a health focused solution that intercepts a common pain point.
The PainPoint: A broken system within preventative medicine. Treatment isn't identified until a symptom comes to the surface i.e., "if its not broke, don't fix it".
The Solution: An app that connect consumer wearable health tracking with Doctors expertise.
Uber Eats Menu Personalization Feature
Click HERE for Design Prototype & Usability Analysis
The Task: Implement a personalization feature in an existing quick service or food delivery product
The PainPoint: Users feel the current offering ignores their modifications, provides unsuitable recommendations, and there is no reliable food ingredient information (which is particularly difficult for those with allergies)
The Solution: A feature that allows you to customize menu preferences at the profile section in the application.
Users can select their dietary or allergy preferences in their user profile. After onboarding is completed, the home page will be customized according to the preferences the user selected. Additionally, users will be notified if an item includes one of their restrictions.
*View additional slides in the above link*
Conti'd Menu Personalization Feature Research & Analysis CHI Style Paper
Click HERE for Full CHI Style Paper: Research methods and feature development for customization in food delivery apps
Abstract:
This research investigates user experiences and preferences of customization and dietary needs in food delivery applications. Through generative research methodologies, including participant interviews and observational tasks, the study reveals notable challenges and unaddressed requirements within existing applications like Sweetgreen, UberEats, and Chipotle. Expanding on these discoveries, the paper presents mostly dietary customization, designed to introduce to users with distinct dietary restrictions. Additionally, includes a comprehensive review of the results of our MVP usability tests and surveys, leading to key design changes and recommendations for optimizing food delivery applications. The discussion highlights implications for user confidence, natural user processes, and adherence to pre-existing mental models, providing a comprehensive suggestion for ongoing development and enhancement of the food delivery application.
Keywords:
Food Delivery Apps, Dietary Customization, User Experience, Generative Research, Usability Testing, Customization Challenges, User Preferences, Design Recommendations.
Introduction:
The food delivery market has significantly grown, with applications like Doordash, UberEats, Sweetgreen, and Chipotle becoming integral to users' daily lives. These apps offer diverse food options emphasizing customization to cater to individual preferences. However, the challenges of existing applications are that a lot of menus hardly meet specific dietary needs. This paper explores user interactions with existing food delivery apps, identifies challenges, and proposes a Dietary Customization feature to enhance user satisfaction. The research includes generative studies, usability testing, and surveys to derive valuable insights for the design and improvement of food delivery applications.
Fault Tree Analysis Peppermint Twist
The Task: Perform a Fault Tree Analysis from Set Phasers On Stun And Other True Tales of Design, Technology, and Human Error. Page 212 (Peppermint Twist)
Background: A harmful cleaning substance was mistakenly ingested by patrons of the bar, Peppermint Twist. Who was at fault, the makers of Eco-Klene dish cleaner, the bar staff, or bar patrons?
Click HERE for Full Fault Tree Analysis
More Examples Below: