• Invitation Homes

    Toolbelt iPad App

    PropTech & Field Ops

    Q2 2022

    Process Optimization

    Problem & Challenges

    Field associates (Superintendents) inspect residential properties under harsh, unpredictable conditions: unpowered homes with dim lighting, bright outdoor glare, spotty cellular connectivity, and tight daily schedules. Legacy workflows relied on fragmented paperwork or desktop-bound software, leading to high error rates, missed appliance defects, and inconsistent lease certification standards across regional teams.

    Inclusive UX & Error Recovery

    • Inclusive Field Ergonomics: Built to support diverse associate demographics across varying ages, technical comfort levels, and physical backgrounds. The UI features dynamic text scaling, switchable left/right-hand thumb-reach zones for one-handed iPad carrying, and WCAG AAA high-contrast visual tokens for direct sunlight readability.
    • Error Prevention & Gap Mitigation: High-speed field work invites accidental misclicks. The interface implements auto-saving offline buffers, explicit visual indicators for missing required photos, and multi-step confirmation modals before finalizing lease pass/fail certifications to prevent costly false approvals.
    • Standardized & Unbiased Auditing: Standardized rating scales ensure objective property assessments, removing subjective bias regarding home condition across different neighborhood classes and tenant profiles.

    TOOLBELT APP INTRO

    Significantly reduced average home inspection duration while simultaneously improving data accuracy.

    Reached frictionless adoption across all field associate tiers, eliminating the need for lengthy retraining programs.

    Awarded Most Innovative Real Estate Technology and Best Associate Technology by the national real estate industry.

  • Micro-Mobility

    LET’S GO APP

    Startup

    Q3 2026

    Usability & Mobile UX

    Problem & Challenges

    The Let’s Go micro-mobility app (renting e-scooters, e-bikes, and portable power chargers) suffered from critical usability flaws, leading to a disastrous 2.9-star rating in app stores. Users experienced unlock failures, confusing active rental timers, hidden fee structures, and poor outdoor screen readability under direct sunlight.

    Inclusive UX & Error Recovery


    Designed for diverse urban commuters acting under time constraints or physical distractions. Implemented high-visibility color tokens that stand out in glare, acoustic/haptic feedback for successful vehicle unlocks, and proactive modal alerts when a user enters a non-parking zone to avoid unexpected fines.

    App Store rating elevated from 2.9 to 3.6 within 2 months of the post-redesign release and ongoing.

    Substantial reduction in negative customer reviews related to vehicle unlock friction and payment clarity.

    Multi-vehicle option adhered to in the first release of the new app designs.

  • FinTech & AI SaaS

    Relish IQ

    FinTech & AI SaaS

    Q4 2024

    Data visualization

    Problem & Challenges

    Relish IQ required an interface overhaul to simplify dense financial data visualization within its Data Assure and Invoice AI modules. The legacy interface lacked structural hierarchy, making complex invoice processing and data validation error-prone for financial analysts working in high-stress environments under strict NDA constraints.

    Inclusive UX & Error Recovery


    Data density in financial interfaces often leads to misclicks and eye strain. The solution introduces dynamic row spacing, customizable font sizing for varying visual abilities, and high-visibility error highlights that point out data discrepancies without relying solely on red color indicators.

    STUDY: VENDOR INVOICE STATUS

    Served as the foundational design system, establishing enterprise-ready UX standards across all product lines.

    Reduced development handoff time through standardized design tokens and smart prototype variables.

    Elevated user accuracy during complex financial data verification workflows.

  • Enterprise AI suite

    BairesDev InnovLab

    Enterprise AI Suite

    Q2 2026

    Workflow Automation

    Problem & Challenges

    Enterprise operations at BairesDev suffered from fragmented task management, delayed QA cycles, and cognitive overload during project onboarding. Team members spent critical hours parsing unstructured documentation and manually generating backlogs, creating operational drag across large-scale software deliveries.

    Inclusive UX & Error Recovery

    To prevent user error when interacting with non-deterministic AI outputs, the design incorporates confidence scoring indicators, explicit undo states, and clear visual warnings when system prompts lack sufficient contextual data. The interface is built in accordance with the company guidelines and aligned with the brand standards, serving as an extension of the company ecosystem and underpinning a proprietary solution for outstanding quality development that showcases its development maturity to clients.

    INNOVLAB LANDING PAGE

    Designated as BairesDev’s flagship internal incubation initiative.

    Significantly reduced routine task duration for BairesDev Delivery, Product, Engineering, People Experience, and Talent Acquisition associates.

    Accelerated stakeholder alignment speed by providing reliable, automated reasoning outputs across multi-device endpoints.

  • [ ] Readability
  • [ ] Scalability
  • [ ] Accessibility
  • [ ] Heuristic
  • [ ] Engaging
  • [ ] Intuitive
  • [ ] Empathetic
  • [ ] Ethical