Enes Gundogdu

Product Designer

Selected work / 01

BERMWOOD / WALGREENS / ENTERPRISE SOFTWARE

Velocity

Velocity

Velocity

Designing a real estate platform
from the ground up.

One connected workspace for property data, projects, inspections and approvals. I designed the platform end to end, alongside its branding and iPhone app icon.

MY ROLE

Lead UX/UI Designer

End-to-end product designer
Branding & app icon design

CLIENT

Bermwood Technologies

Enterprise SaaS

SCOPE

Information architecture, workflows, interaction design, UI, prototypes and design system

01 Product overview: property context, deal information, documents and next actions in a historical Walgreens screen.

01 The Problem

High-value portfolios. Fragmented workflows.

Commercial real estate teams manage property records, financial information, deadlines and approvals across large portfolios. Much of this work relied on spreadsheets, email chains, legacy systems and separate tools.

Velocity was created to bring these operations together. The design challenge was to support complex work and different customer processes through a consistent product experience.

Scattered information

Records and supporting documents lived in different places, making it harder to find the full picture.

Work outside the system

Email and separate tools carried parts of the process, splitting the work from its context.

Limited visibility

Teams needed to understand what required attention across a portfolio, not just inside one record.

Different ways of working

Organisations had different processes and responsibilities. One rigid workflow could not serve them all.

02 The Solution

A connected platform, built around the work.

The goal was to help users move from a portfolio overview to a property and its related work without losing context.

I worked across the platform from early concepts to production delivery. My work connected the overall structure with the details inside each module, from navigation and data tables to tasks, status and reusable components.

Property data

Transactions

Projects

Inspections

Lease administration

Workflows & approvals

Platform architecture: show the relationship between portfolios, properties and associated records, with permissions, notifications and workflows supporting the experience.

06 Project Impact

From early concepts to enterprise rollout

Velocity moved into production for large-scale real estate operations.

One of the major implementations was for Walgreens. The portfolio scale gives context to the level of data and operational complexity the platform needed to support.

IMPACT AT LAUNCH (2022)

0+

Stores in the client portfolio

$0.0B+

Approximate annual rent in the project context

IMPACT TODAY

0+

Stores in the client portfolio

0+

Deals

0+

Transactions

0+

Active users

These figures describe the scale of the Walgreens implementation. They are not measures of improvement caused by the design.

For me, the most meaningful outcome was seeing the product move from early design work into use at enterprise scale. Workflow-specific results belong in the relevant implementation case study, where their context and measurement can be explained.

Platform architecture: show the relationship between portfolios, properties and associated records, with permissions, notifications and workflows supporting the experience.

07 Reflection

Deciding where complexity belongs.

Velocity moved into production for large-scale real estate operations.

Designing Velocity changed how I think about platforms. A simpler interface does not remove the complexity of the work. It helps users understand the part that matters to them at that moment.

The challenge was to create patterns that worked across the product and could continue to support it as new workflows were added.

Working with stakeholders also taught me how much needs can vary across teams and customers. Understanding those differences helped me decide what should be shared across the platform and where a workflow needed its own approach.

The design system had to support that balance. I focused on reusing familiar patterns while allowing room for more complex needs. Discussions with stakeholders and developers helped me decide when to reuse a component, adapt an existing pattern or introduce something new.

08 Product Deep Dives

The platform story continues

These focused stories will explore individual workflows in more detail.

Inspection Scheduling

Planning and coordinating inspections across properties and teams.

Separate case study

COMING SOON

Workflow Engine

Configuring approval steps, conditions and responsibilities for enterprise workflows.

Separate case study

COMING SOON

Leasing Assumptions

Entering, reviewing and comparing assumptions used in leasing decisions.

Separate case study

COMING SOON

03 Key Design Decisions

How the platform took shape.

The important choices were about how people found information, understood their responsibilities and moved work forward.

I worked across the platform from early concepts to production delivery. My work connected the overall structure with the details inside each module, from navigation and data tables to tasks, status and reusable components.

Property data

Transactions

Projects

Inspections

Lease administration

Workflows & approvals

Platform architecture: show the relationship between portfolios, properties and associated records, with permissions, notifications and workflows supporting the experience.

Interviews

Explore how drivers interpret restrictions and what makes them hesitate.

Surveys

Understand reported confusion, time pressure and concerns about parking fines.

Contextual inquiry

Observe the task where it happens, with real signs and competing demands.

WHAT THIS MEANT FOR THE DESIGN

A short answer needed an explanation behind it. Drivers should be able to check the rule, not just accept the result.

ParkAid research articaft 01

ParkAid research articaft 02

03 The Solution

Scan. Check. Understand.

A focused journey from the parking sign to guidance the driver can inspect.

Early design exploration

ParkAid wireframes and prototype screens

Capture the sign

01

Start with a photo of the parking restrictions.

Check the image

02

Confirm the text is clear before interpreting it.

Read the result

03

See the parking status and explore the relevant conditions.

Original ParkAid high-fidelity designs

03 Design Decisions

Making the answer easier to trust.

Decision 01

Decision 01

Decision 01

Check the photo before processing

A blurred image can affect everything that follows. The captured photo is shown back to the driver with a prompt to check whether it is clear.

The aim: catch a poor scan before it becomes misleading guidance.

Decision 02

Decision 02

Decision 02

Keep the answer short, make the details available

The result gives drivers a clear starting point. Expandable conditions let them inspect restrictions without reading everything at once.

The aim: support a quick decision while keeping the reasoning visible.

Decision 03

Decision 03

Decision 03

Use the driver's context

Guidance considers the time and vehicle type. A general reading of a sign is not enough when a condition changes the answer.

Context-aware guidance

Decision 04

Decision 04

Decision 04

Give failed scans a clear next step

When the sign cannot be interpreted, the recovery path asks the driver to retake the photo rather than leaving them with an unexplained failure.

Unreadable sign recovery

Visual hierarchy

Visual hierarchy

Visual hierarchy

Make the parking status easy to find

The result screen gives the parking status visual priority, with the conditions available below.

Unreadable sign recovery

04 Testing & Iteration

A fast result still needed an explanation.

The testing described in the original case study surfaced issues beyond the basic scan-and-result flow.

FEEDBACK

DESIGN RESPONSE

Drivers wanted to understand the interpretation.

Added plain-language explanations to the results, especially for rules with exceptions.

Low-light images could be misread.

Identified low-light capture as an area for further work. Improved capture and interpretation needed additional validation.

Some drivers needed other languages.

Identified multilingual support as a future development area.

The original write-up also describes a planned wider beta. Planned testing is kept separate from completed design changes here.

05 High-Fidelity Designs

The mobile experience

Key screens

Key screens

Key screens

The complete flow

The complete flow

The complete flow

ParkAid mobile user flow

06 The Visual System

A design system build with custom components

I created a design system with custom components for ParkAid’s mobile experience.

Reusable components helped keep the screens consistent and made it easier to update the interface as the design developed. Figma variables supported shared colour choices, including light and dark modes.

ParkAid design system

ParkAid design system

06 Branding

The ParkAid identity

ParkAid research overview

06 Project Impact

From complex rules to a focused mobile flow.

The design brings sign capture, image confirmation, parking guidance and conditions into one journey.

A clearer decision path

The experience gives drivers a result first, with the relevant restrictions available to inspect.

A way to check the input

Photo confirmation and retake guidance make recovery part of the flow.

A foundation for further development

The branding and variable-based design system support consistent screens and theme changes.

What I took from the project

What I took from the project

What I took from the project

Designing an AI-assisted experience means designing the moments around the answer too. The input needs to be clear, the explanation needs to be understandable, and users need a useful next step when something goes wrong.

FURTHER VALIDATION

FURTHER VALIDATION

FURTHER VALIDATION

Test recognition in low light, check complex combinations of restrictions, and validate language support before expanding the experience.

WALGREENS / VELOCITY

Turning specialist requirements into

Turning specialist requirements into

understandable work.

understandable work.

Enes Gundogdu

Walgreens Velocity · UX/UI case study

ENES GUNDOGDU / PRODUCT DESIGNER

Enes Gundogdu 2026

Making complex

work easier to use.