Skip to main content

Basia Perkowski

Senior/Staff Product Designer

+33%
insurance capture
56% → 92%
payment-method capture
3–5 min → under 30 sec
urgent access

Selected Work

BILLING & INSURANCE

Building an end-to-end healthcare billing experience members can trust

I led strategy and end-to-end design across insurance capture and verification, copay payment-method capture, and ongoing billing transparency. I connected previously fragmented touchpoints into a clearer member journey while partnering with Product, Engineering, Research, Operations, and Compliance.

92%

Copay payment-method capture (up from 56%)

22%

Increase in first-time billable visits

33%

Web insurance capture

Read use case
*Password Protected
AI & CLINICAL AUTOMATION

Designing an AI care assistant clinicians can trust to prepare, triage and act

I led end-to-end design for an EHR-integrated AI assistant supporting chart preparation, message triage and care-team actions. I defined human-review, transparency, reversible-action and safe-fallback patterns, then used AI-assisted coding to build a functional 360° patient-chart prototype and test the experience beyond static screens.

90%

Faster chart review (minutes → seconds)

100%

Actions reversible/ human in the loop

Read use case
*Password Protected
ACCESS, POLICY & COMPLIANCE

Making urgent PHI access faster without compromising patient privacy

I led the redesign of EHR access control, translating complex healthcare policies into contextual, contingent and time-bound access patterns for clinical, practice-management and corporate users. I partnered with Privacy, Security, Clinical, Product and Engineering to balance care-team urgency with appropriate controls, transparency and auditability.

88%

Access events supported contextually

90%

Faster urgent-access: 5 min to 30 sec

100%

PHI access events covered

Read use case
*Password Protected
CONSUMER GROWTH & RETENTION

Designing a loyalty system that increased retention and repeat orders

I led the 0→1 strategy and end-to-end design of Slice Rewards across 16,000 independent pizzerias. When the initial MVP did not meaningfully improve retention, I used behavioral data and customer research to refine the target audience, earning journey, redemption experience and moments of delight.

8%

Customer retention

8%

Order frequency

−10%

Customer churn

How I work

My process combines human judgment with AI-assisted exploration, functional prototyping, and continuous learning helping teams move faster without losing clarity, craft, or trust.

1

Find the right problem

I combine research, behavioral data, business goals, and frontline knowledge to understand the broader system. I use AI to synthesize large inputs and identify patterns, but I validate the conclusions with users, data, and domain experts.
2

Define the experience and intelligence

I map workflows, permissions, edge cases, and system behavior before designing screens. When AI belongs in the solution, I define its context, autonomy, uncertainty, human decision points, explanations, and safe fallbacks.
3

Build to think

I move fluidly between Figma and functional, AI-assisted prototypes. Tools such as Claude Code, Cursor, Replit, and Lovable help me explore and test working interactions earlier; I define the patterns, behavior, and quality bar.
4

Test the system

I test usability, accessibility, trust, and operational impact not only the happy path. For AI experiences, I examine inaccurate or incomplete outputs, permissions, corrections, overrides, recovery, and human–AI handoffs.
5

Ship, measure, and evolve

I collaborate with Product, Engineering, Data, and domain experts through implementation. After launch, I use product metrics, research, corrections, and user feedback to improve both the experience and the underlying system behavior.
basiaperkowski@gmail.com