UX Case Studies

UX Case Studies

Tomirai

Encouraging PPE compliance relied on passive reminders, which were often ignored.

Tomirai is an AI chatbot interface to engage users more actively, combining conversational support with computer vision to drive awareness and behaviour change.

How might we make the system more interactive, trustworthy, and easy to engage with in real-world contexts?

Encouraging PPE compliance relied on passive reminders, which were often ignored.

Tomirai is an AI chatbot interface to engage users more actively, combining conversational support with computer vision to drive awareness and behaviour change.

How might we make the system more interactive, trustworthy, and easy to engage with in real-world contexts?

🧠 Problem

During the pandemic, maintaining PPE compliance required consistent user engagement, but existing approaches were:

During the pandemic, maintaining PPE compliance required consistent user engagement, but existing approaches were:


  • Passive and easy to ignore

  • Not interactive or responsive to user concerns

  • Lacking real-time feedback on behaviour (e.g. mask usage)

  • Visually outdated, reducing trust and engagement

The initial product was functional, but the interface did not reflect:

  • the innovation behind the technology

  • or the need to engage users in a meaningful way


  • Passive and easy to ignore

  • Not interactive or responsive to user concerns

  • Lacking real-time feedback on behaviour (e.g. mask usage)

  • Visually outdated, reducing trust and engagement

The initial product was functional, but the interface did not reflect:

  • the innovation behind the technology

  • or the need to engage users in a meaningful way

🎯 goal

Design a platform that:

Design a platform that:

  • Design a chatbot experience that:

    Encourages PPE awareness and compliance through interaction

  • Feels modern, intuitive, and aligned with the innovation centre

  • Builds trust and engagement through a refined interface

  • Supports both information-seeking and behaviour reinforcement

  • Design a chatbot experience that:

    Encourages PPE awareness and compliance through interaction

  • Feels modern, intuitive, and aligned with the innovation centre

  • Builds trust and engagement through a refined interface

  • Supports both information-seeking and behaviour reinforcement

⚙️ Approach 1

Shifting from passive to interactive engagement

Shifting from passive to interactive engagement

Reframed the experience from static messaging to a conversational interface:

  • Users could ask questions

  • Receive contextual responses

  • Engage with the system in real time.

👉 Encourages active participation instead of passive consumption.

Reframed the experience from static messaging to a conversational interface:

  • Users could ask questions

  • Receive contextual responses

  • Engage with the system in real time.

👉 Encourages active participation instead of passive consumption.

⚙️ Approach 2

Supporting behaviour awareness through computer vision

Supporting behaviour awareness through computer vision

Integrated visual feedback mechanisms to:

  • Detect mask usage

  • Prompt users when PPE was not correctly worn

👉 Reinforces behaviour through immediate, contextual feedback.

Integrated visual feedback mechanisms to:

  • Detect mask usage

  • Prompt users when PPE was not correctly worn

👉 Reinforces behaviour through immediate, contextual feedback.

⚙️ Approach 3

Modernising the interface for trust and usability

Modernising the interface for trust and usability

Redesigned the UI to:

feel more refined and tech-forward

  • Align with the Innovation Centre’s futuristic direction

  • Improve clarity and readability of interactions

👉 Increases user trust and perceived credibility of the system.

Redesigned the UI to:

feel more refined and tech-forward

  • Align with the Innovation Centre’s futuristic direction

  • Improve clarity and readability of interactions

👉 Increases user trust and perceived credibility of the system.

⚙️ Approach 4

Simplifying interactions for quick understanding

Simplifying interactions for quick understanding

Focused on:

  • Clear conversational flows

  • Minimal cognitive load

  • Easy-to-understand prompts and responses

👉 Ensures accessibility for a wide range of users.

Focused on:

  • Clear conversational flows

  • Minimal cognitive load

  • Easy-to-understand prompts and responses

👉 Ensures accessibility for a wide range of users.

📦 Outcome

  • Increased engagement with the chatbot through a more interactive and approachable interface

  • Improved clarity and usability of information for users seeking guidance

  • Strengthened trust in the system through a more modern and credible design

  • Supported PPE awareness by combining conversational interaction with real-time feedback

  • Increased engagement with the chatbot through a more interactive and approachable interface

  • Improved clarity and usability of information for users seeking guidance

  • Strengthened trust in the system through a more modern and credible design

  • Supported PPE awareness by combining conversational interaction with real-time feedback

Selected UX Work

Totrak

Disconnected tracking systems made it hard for stakeholders to stay aligned. Designed a unified platform to streamline coordination across the supply chain.

Expangea

Store owners lacked access to reliable, cost-efficient delivery options. Designed a platform to connect them with a network of couriers and streamline fulfilment.

Q Business

Disconnected expense processes limited visibility and control. Designed a centralised platform across web and mobile to improve visibility and oversight.

© 2026 · Built on Framer · Optimised for Web

EEmmaaiill
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© 2026 · Built on Framer · Optimised for Web

EEmmaaiill
LLiinnkkeeddIInn