Want to see examples of my work?
I’ve worked across a wide range of projects throughout my career and am happy to share these with you.
Below are a few selected projects. For deeper walkthroughs or more examples, please ✉️ get in touch.
Should Atlassian add audio/voice functionality to Confluence?
Research | Exploratory research and concept testing
Informed a strategic decision to invest in audio/voice for Confluence
Aligned product, design and engineering on the 2025 mobile roadmap
Reduced early concept risk by an estimated 30 – 40%
In early 2025, Confluence lacked any audio/voice capabilities. The team needed to understand whether this is something that would be was worth investing in, where would having audio/voice functionality add value and get feedback on some early design ideas…
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Should Atlassian add a slide deck and presentation functionality to Confluence?
Research | Exploratory research and concept testing
Prevented a misaligned presentation investment by validating real user needs early
Avoided an estimated 6 – 9 months of engineering rework, reducing delivery risk and waste
Re-focused the roadmap toward higher-value use cases for an audience of up to 250k customers
Data showed that Confluence’s existing Presentation mode had extremely low usage (1.5% MAU) and customers usually left Atlassian’s ecosystem to present content. There was a clear gap. The team wanted to understand why was this happening…
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How can we help Atlassian administrators enable AI on Atlassian’s products?
Research | Exploratory research and concept testing
Reduced admin setup friction by an estimated 25 – 35% by redesigning the AI enablement flow
De-risked AI rollout across thousands of Enterprise admins through clearer scope and granularity control
Proposed 15+ admin-facing AI features, strengthening the AI value proposition for enterprise admins and influencing early roadmap direction
In 2023, while AI was still a new technology, Atlassian was preparing to expand the AI offering across its products. IT administrators are the key gatekeepers of introducing new technologies to their organizations. Atlassian’s AI team needed…
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Identifying friction areas on the internal side of the Atlassian Cloud migration process
Research | Service Design
Identified and prioritized 20+ internal migration friction points across the end-to-end Cloud migration journey
Improved cross-team alignment across migration, support and operations, reducing handoff ambiguity and ownership gaps
Contributed to a ~15-25% increase in speed and predictability for large-scale (5k+ seat) Cloud migrations
Atlassian already had deep knowledge of customer-side blockers to Cloud migration, but had never examined the internal frictions in the migration process. With many 5K+ seat migrations approaching, the Atlassian Migration team needed a clear view of…
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Defining and designing Enterprise QoS experience for SteelConnect at Riverbed
End-to-end Research & Design | Software
Reduced configuration errors by an estimated 30–40% through clearer, intent-based QoS workflows
Shortened setup time for complex policies by ~25%, improving efficiency for enterprise admins
Enabled QoS adoption across both novice and expert admins via a scalable, layered QoS model
Riverbed wanted to add enterprise-level QoS functionality to its SD-WAN product (SteelConnect), allowing its customers to configure network traffic prioritization at scale. The existing solution lacked enterprise flexibility, industry-standard controls and intuitive…