Map the mess
Gather screenshots, storyboards, bugs, requests, business notes, and observed system behavior.
I work where UX, operations, and implementation meet: mapping complex workflows, turning scattered business inputs into structure, prototyping future-state behavior, and giving teams something concrete to evaluate before build commitment.
I don’t just design screens. I map the operating model under the screen — rules, roles, states, exceptions, handoffs, data dependencies, and failure points — then turn that complexity into something teams can see, test, and improve.
The pattern is repeatable: expose the hidden workflow, identify the pressure points, prototype safely, validate with scenarios, and convert the strongest decisions into reusable patterns.
Gather screenshots, storyboards, bugs, requests, business notes, and observed system behavior.
Separate roles, statuses, validations, permissions, dependencies, and handoffs.
Look for ambiguity, duplicate effort, unclear states, hidden rules, and high-friction decisions.
Create a safe prototype space using sanitized scenarios and controlled workflow examples.
Compare proposed flows against current-state behavior, scenarios, edge cases, and expected outcomes.
Turn the strongest decisions into patterns, requirements, acceptance criteria, and dev-ready guidance.
This is the lane: senior enterprise UX, workflow architecture, design systems, front-end-aware prototyping, and AI-assisted analysis.
Design decisions are stronger when the team can see the rules, states, edge cases, and downstream consequences.
I can move between UX strategy, Figma-level thinking, and front-end prototype logic to reduce translation loss.
I use AI to summarize inputs, generate scenarios, pressure-test logic, and accelerate analysis while keeping judgment human.
A controlled prototype environment for selected accounting workflows: current-state mapping, future-state exploration, scenario testing, validation guidance, and AI-assisted workflow analysis before production investment.
Accounting workflows were too complex to evaluate through static notes alone. Business logic, validations, roles, exceptions, and downstream impacts needed a more concrete decision surface.
Build a UX sandbox that made selected workflows visible, clickable, scenario-driven, and safe to discuss without exposing proprietary data.
Business storyboards, feature requests, bugs, QA screens, screenshots, and observed system behavior became the raw material.
Roles, screens, permissions, validations, scenarios, expected outcomes, and edge cases were turned into a visible model.
The sandbox framed selected workflows as prototype components so the team could compare behavior and discuss change more concretely.
AI helped summarize inputs, generate scenarios, pressure-test logic, and convert scattered information into clearer design direction.
The team gained a clearer way to evaluate assumptions, review workflow behavior, and discuss changes before deeper engineering commitment.
NDA boundary: This case study avoids proprietary systems, internal screenshots, customer data, confidential accounting logic, and private workflow details. The focus is process, structure, and transferable UX method.
A list-heavy operational workflow concept focused on visibility, scanability, prioritization, and clearer movement from overview to action.
Operational lists break down when priority, ownership, state, exceptions, and next actions are hard to scan. Users lose time reconstructing context.
Reframe the list around decisions: what is this, why does it matter, what changed, what state is it in, and what should happen next?
Study how users scan, filter, prioritize, and act on records.
Make status, exceptions, and ownership easier to read at a glance.
Support movement from overview to detail without losing workflow position.
Reduce ambiguity around what needs attention and what happens next.
NDA boundary: This summary keeps the Package List workflow generalized. It shows process, judgment, and transferable enterprise UX skill without exposing confidential internal operations.