Scope 3 emissions are currently a black box. Companies rely on haphazard and manual data collection. Our solution was a bespoke dashboard to help our client track their end-to-end carbon footprint while aligning with ISO14064.
Project work streams:
1. Discovery: User interviews (business, design & technical), As-is & To-be Journey mapping, Product backlog [ongoing from phase 1-3], Discovery report2. Rapid prototyping: Ideation Workshops, Info. Architecture, Lo-Fi & Hi-Fi mockups
3. Implementation: Sprint planning, Software development, Jira board management (input & assign tickets, update ticket status)
4. Quality assurance & Testing: Testing developed features, UAT briefing, 2 rounds of F2F UAT
My role in each stream:
1. Discovery: Business-related user interviews, As-is Journey mapping, Wrote the product backlog (~100 user stories & acceptance criteria), Business portion of discovery report
2. Rapid prototyping: Co-facilitated ideation workshops, Brainstorming for Lo-Fi mockups
3. Implementation: Sprint planning & timeline management in collaboration with tech lead, Jira board management
4. Quality assurance & Testing: Workstream owner, facilitated the 1st UAT session
Note: The images below have been intentionally blurred to protect confidential client information, as this work was created for a real product.
Landscape assessment:
The client granted us access to a competitor’s dashboard—one that was actively targeting their customers—and tasked us with envisioning an enhanced version. I analyzed this platform alongside several widely used waste management dashboards to identify recurring features, highlight differentiators, and uncover opportunities for improvement.
This research not only informed our feature prioritization but also built foundational domain knowledge for the team, as none of us had prior experience in the waste management space.
User interview & Journey mapping:
I independently led a user interview to uncover the product vision—exploring what created the need for the product, its future goals and roadmap, and how these factors might influence the system architecture and tech stack. I also probed into the different phases of the user journey to better ground our design decisions.
Based on these insights, I designed the As-Is journey map, highlighting both functional and human pain points. I then presented it to the client for validation before moving into the design phase, and later refined the journey map for inclusion in the final report.
Initial
Final
Ideation workshops with client:
I co-facilitated an ideation workshop with the designer to align on feature prioritisation with the client. Through the session, we explored which features were critical, the rationale behind their importance and how they supposed both user needs and the client's long-term product goals.
Lo-Fi Prototyping:
Based on the findings from the workshop, product backlog and landscape assessment research, the chief designer and I collaborated to create the initial Lo-Fi wireframes for the initial MVP.
Quality Assurance & Testing:
I owned the QA process for this project, ensuring each feature implemented met the acceptance criteria. When issues arose, I worked with the technical lead to assess the technical limitations, aligned with the client on revised requirements and collaborated with the designer for any design adjustments.
Going beyond manual checks, I built an AI agent using Claude MCP that automatically executed user story based tests on the dashboard, helping to catch blind spots missed by traditional ACs and to largely automate the writing of testing documentation.
BasI was a co-lead for the UAT phase: prepared the error handling and sign-off matrices, conducted the first UAT session and prioritised bugs/enhancements raised to streamline sign-off.
End Product:
Building Owner View (1/2)
Building Owner View (2/2)
Area View
Tenant View
Additional features developed as scope expanded:
