Hello, I’m Trisha.
I design with empathy and deliver with a plan.

I’m a Multidisciplinary Product Designer with more than 12 years of experience helping enterprise teams in insurance, healthcare, aviation and retail turn complex processes into experiences that are useful, usable and quietly delightful.

12+years in UX
13enterprise clients
Full cyclediscovery to UAT
Portrait of Trisha Ambekar wearing a navy blazer, smiling
Marathon runnerDiscipline and pacing show up in every project.

A multidisciplinary designer who starts with people

Good, honest and efficient design begins with empathy.

I go where the work happens, on an airport ramp, in an underwriter’s inbox or beside a merchant’s spreadsheet, and carry what I learn all the way to tested, polished design.

How I work

01

Research

Discovery sessions, interviews, pain point and task analysis

02

Define

Personas, journey maps, scenario maps and storyboards

03

Design

Flows, information architecture, wireframes, prototypes and visual design

04

Validate

Usability, BAT and UAT testing with real users

Clients

  • AIG
  • The Home Depot
  • Delta Air Lines
  • Aetna
  • PayFlex
  • Cigna
  • Comcast
  • Pantene
  • Michelin
  • Pillsbury
  • Gillette
  • EBSCO
  • AbbVie

Résumé

Senior UX Designer · 12+ years of experience

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Trisha Ambekar

Senior UX Designer · 12+ years of experience

Professional summary

Senior UX Designer with more than 12 years of experience designing enterprise products for Fortune 500 organizations across insurance, retail, healthcare, telecommunications and aviation. I lead user research, service design, journey mapping, interaction design, prototyping and usability testing, and I enjoy solving complex business problems through user-centered design, including AI-powered experiences that improve efficiency and customer outcomes. I collaborate closely with product managers, engineers, researchers and executive stakeholders across the full product lifecycle.

AI skills

Experience
Agentic AI product design · AI-assisted UX · Human-AI interaction · AI workflow design · Prompt-driven experiences · AI data extraction workflows
Tools
Figma · Figma Make · FigJam · Miro · Jira · Axure RP · Sketch · Photoshop · HTML/CSS · Design systems · AI-assisted design tools

Experience

Senior UX Designer · Capgemini, Remote

July 2025 – September 2026

Client: Corebridge (AIG)

  • Led end-to-end UX research and product design for an AI-powered underwriting assistant built to streamline insurance submission processing.
  • Partnered with underwriters, brokers, product owners, business analysts and engineering teams to understand underwriting workflows, business goals and operational pain points.
  • Planned and conducted contextual interviews and workflow analysis with underwriters to identify inefficiencies in handling broker submissions.
  • Created journey maps, user flows, personas and experience maps to visualize the underwriting lifecycle and uncover opportunities to optimize it.
  • Designed low- and high-fidelity prototypes in Figma, refining workflows iteratively to reduce manual effort and cognitive load.
  • Used Figma Make to prototype AI-assisted experiences quickly and validate concepts before engineering implementation.
  • Designed experiences for an agentic AI underwriting assistant that extracted data from broker-submitted documents, populated underwriting fields and enabled faster policy submission reviews.
  • Ran usability testing sessions with underwriters, synthesized the findings and applied them across several design iterations before developer handoff.
  • Worked with developers throughout implementation to ensure design accuracy and maintain usability standards.
  • Presented research findings, design rationale and prototype demonstrations to business stakeholders and leadership.

Staff UX Designer · Synergis, Atlanta

November 2021 – March 2022

Client: The Home Depot

  • Designed user-centered enhancements for the Regional Assortment web application, improving usability and supporting ongoing functionality upgrades in Figma with the design system.
  • Led UX research for the delivery SLA process, planning and conducting interviews with assortment planners, channel management and merchants, then synthesizing the insights and presenting them to leadership to guide design strategy.
  • Conducted omnichannel research into the holistic needs of online and store merchants, and created personas, scenario maps and need statements with project managers and engineers.
  • Translated research insights into design solutions that made assortment planning more cohesive across channels.
  • Delivered presentations to leadership that built alignment and buy-in on user needs and design direction.

Senior UX Designer · Cognizant, Remote

November 2020 – May 2021

Client: AbbVie

  • Designed and built SharePoint sites for 10 departments within the Medical Affairs team, improving internal collaboration and access to documents.
  • Led stakeholder engagement by organizing discovery sessions, design walkthroughs and review meetings to keep teams aligned and secure approvals.
  • Created project plans and visual presentations that explained site architecture, user flows and SharePoint functionality.
  • Designed department-level organizational charts to support internal clarity and team visibility.
  • Worked with department stakeholders to gather business requirements, identify user pain points and deliver tailored design solutions.
  • Partnered with an offshore development team to communicate requirements, provide design guidance and keep deliverables consistent.

Senior UX Designer · Cognizant, Atlanta

February 2019 – October 2020

Client: Delta Air Lines

  • Delta.com: partnered with product owners and scrum masters to identify design gaps and missing scenarios, and created responsive designs in Figma across breakpoints for web and mobile. Contributed to a design system and pattern library that kept the experience consistent and streamlined developer handoffs.
  • Delta Net (intranet): gathered requirements with business stakeholders, conducted task analysis to uncover usability problems, defined the design scope and delivered responsive solutions that followed Delta’s brand guidelines across web, tablet and mobile.
  • Damage reporting application: designed an Android application for Zebra devices that streamlined damaged baggage reporting, enabling real-time data capture and root cause analysis, and contributing to significant savings on baggage claims. Led the end-to-end UX process, from requirement gathering and design strategy to on-field usability testing with ramp agents.
  • SunTrac application: led the redesign of a legacy system used for hotel bookings within vacation packages, replacing green-screen interfaces with a modern, easier-to-use experience.

Senior UX Designer · Cognizant, Connecticut

May 2017 – January 2019

Client: Aetna

  • Partnered with customers, stakeholders, subject matter experts, designers and developers from concept through implementation to keep outcomes aligned and user-centered.
  • Identified interaction pain points and proposed design solutions through user flows, storyboards and high-fidelity responsive wireframes.
  • Conducted market analysis, synthesized user feedback and applied usability findings to design decisions grounded in user-centered methods.
  • Provided project estimates and timelines that helped teams plan and prioritize.
  • Coordinated offshore design and HTML teams, making sure deliverables met quality and consistency standards.
  • Facilitated design reviews with business teams, gathered feedback and secured timely approvals.
  • Developed case studies documenting project goals, process and outcomes for internal knowledge sharing and portfolio use.

Senior UX Designer · Cognizant, Connecticut

August 2015 – April 2017

Client: Cigna

  • Improved platform usability and visual appeal, which increased user traffic and engagement.
  • Designed responsive pages aligned with brand guidelines for a cohesive, on-brand experience.
  • Created interactive HTML prototypes and click-through demos for client presentations, mockups and user testing sessions.
  • Developed adaptive layouts that kept the experience consistent across devices and screen sizes.
  • Produced style guides and web, CSS and interaction specifications to support engineering teams.
  • Tested and iterated on interactive prototypes to refine concepts and improve usability.
  • Conducted business acceptance testing (BAT) to validate design functionality against business requirements.
  • Prototyped custom UI solutions with clients in Axure RP, saving development time and speeding up decisions.

UX Designer · Cognizant, Virginia

January 2014 – August 2015

Client: Comcast

  • Contributed to an enterprise automation project run in Agile, supporting iterative design and rapid delivery.
  • Ran requirement gathering sessions and identified user pain points to align solutions with business and user goals.
  • Translated those goals into UX strategies, designing interactive wireframes and high-fidelity interfaces for enterprise dashboards and health check applications.
  • Mentored and provided design leadership to a distributed development team, keeping quality consistent across time zones.
  • Led user acceptance testing (UAT) sessions to validate design effectiveness and gather final feedback before implementation.

UX Architect · Possible, Kentucky

October 2013 – November 2013

Clients: Café Pilon, Pantene, ConAgra Foods, Michelin, ReadySetEat, Pillsbury and Gillette

  • Conducted user research and worked with cross-functional teams to align business goals with user needs.
  • Designed task flows, performed content audits and defined information architecture to improve usability and engagement.
  • Delivered wireframes and interactive prototypes for web and mobile in Axure and OmniGraffle to support internal reviews and client presentations.

Design skills

User research · Personas · Journey maps · Storyboards · Wireframes · Prototyping · User testing · Design strategy · Interaction design · Information architecture · Visual design · Service design · Product strategy · Cross-functional leadership

Education

Northeastern University, Boston, MA — MS in Professional Studies, Digital Media and Communications (Interaction Design)2013
Abhinav Kala Mahavidyalaya, Pune, India — Bachelor’s in Applied Art (Illustration)2006

Aetna

One place to quote, enroll and track every product

Redesigning a fragmented, multi-channel enrollment process into a single broker platform for Medicare Supplement, ancillary and whole life insurance.

My role
Sr. UX Designer
Platform
Responsive web application
Approach
Discover, design, deliver in agile sprints
Focus
  • UX Research
  • Wireframe
  • Visual Design
  • Testing

Overview

The eApp Enrollment application sells a portfolio of supplemental insurance products and lets brokers tailor the experience to their business. Before this project, each product was sold through its own channel. Brokers could not cross-sell, every channel needed separate maintenance, and the added effort raised the cost of every enrolled policy.

Role and responsibilities

My roleSr. UX Designer

Owned the experience from discovery to delivery, alongside business, technology and strategy partners.

Research

Discovery sessions, user feedback analysis and pain points

Structure

Requirements, workflows and information architecture

Design

Sketches, high fidelity wireframes and visual design

Validate & deliver

User testing, prioritization and sprint delivery with developers

Process

  1. 01

    Discover

    Stakeholder sessions, user feedback and current state analysis

  2. 02

    Define

    Pain points, requirements and pilot scope

  3. 03

    Design

    Sketches, wireframes and visual design

  4. 04

    Test

    Validate flows with users and refine

  5. 05

    Deliver

    Ship the pilot release with the sprint team

Agile sprints: design, test and deliver repeated sprint by sprint until each workflow was release ready

What the business asked for

A one-stop shop

Host every product in one application, with customization for brokers.

Lower cost per policy

Bring the enrollment tool in-house to make it cost effective.

Cross-selling for revenue

Offer Medicare Supplement, ancillary and whole life products during a single enrollment.

Broker self-service

Let brokers track application status and complete next steps, with super users supporting them.

Challenges

01Bringing every product under one roof, correctly and as a solution-driven product

02Building an efficient application that removes years of redundancy

03Collaborating with distributed teams across time zones in an agile model

Discover

Discovery is where we learn the user’s pain as well as the business and technical goals. I started with the people who used the old applications every day and studied how they served their customers. Stepping into their shoes made the problems obvious and gave us the empathy to close the gaps.

Research and requirement gathering

We ran collaborative, participatory design with weekly discovery sessions alongside Aetna’s business, technology and strategy teams to agree the best approach for a project of this size.

Pain points we uncovered

  1. 1

    Every product had its own application, so users logged in separately to sell a product and again to check its status.

  2. 2

    Health history, applicant details and signatures were collected again for every product, which was redundant and slow.

  3. 3

    Users could not add multiple products to one enrollment.

  4. 4

    Getting a quote meant filling in long forms first.

  5. 5

    There was no easy record of the e-kits that had been sent.

  6. 6

    Four signature processes, each handled differently, made signatures hard to store and hard to track.

Design process

Current state analysis

Analyzed raw data and user feedback on the existing apps from a third-party service, gathered UX requirements and defined the pilot release.

Sprint collaboration

Ideated new workflows for the member journey with the sprint team and prioritized functionality together.

Sketches to visual design

Moved from sketches and brainstorming to high fidelity wireframes and final visual designs for the screens critical to the pilot.

Key solutions

Select any screen to view it full size.

Dashboard

Start any task from one home screen

Quotes, e-kits and case status sit together, so brokers see what needs attention the moment they sign in.

Rate quotes

Quotes without starting an enrollment

Brokers can price any product at any time using a few basic details. One set of inputs returns quotes for every product, turning the tool into a true one-stop shop.

E-kits

Send and track e-kits on one page

Sending an e-kit automatically records it in a searchable history, so follow-up actions like editing or resending take fewer clicks.

My cases

Case status with the next action beside it

Brokers see every case’s status at a glance and can complete signatures, email the case, read its summary or delete it once complete.

Plan eligibility

Every eligibility question on one page

Applicants learn whether they qualify for all products without separate logins or channels.

Health history

Enter health history once

One health history now applies to every product, and history for each family member is captured on the same page.

Payment information

Flexible electronic payments

Users save bank details once and assign any account to any product with the payment method they prefer.

Agent information

Customization built for agents

Agents split commission by product, choose how policy documents are delivered and keep notes for future reference.

Signature process

Four signature types, one smooth step

In-person, voice, email and secure-question signatures now live in a single guided screen, so users finish their task without switching processes.

Impact

After launch, the unified platform changed how brokers started and finished their work.

68%growth in application submissions
More traffic to get a quoteInstant rate quotes became the front door to enrollment
1application for every product, replacing separate channels and logins
4 → 1signature methods combined into one guided step

Scalable architecture

Tested workflows ready to serve millions of members in one place.

Less dependency, lower cost

Every product and its pricing under one roof.

Broker customization

Each case managed individually and saved for later.

Cross-selling

Add products during enrollment to grow revenue.

Delta Air Lines

Reporting a damaged bag in seconds, even with gloves on

A rugged mobile app that helps ramp and baggage agents capture when, where and how bags are damaged, so the airline can resolve issues faster and reduce claims.

Team
Enterprise Mobility
Platform
Android app on Zebra scanners
My role
Owned the end-to-end design strategy
Focus
  • UX Research
  • Wireframe
  • Visual Design
  • Testing

Overview

Delta is consistently recognized for excellence, from passenger experience to customer service, and wanted the same care for travelers with lost or damaged bags. The airline spends around $10 million a year on damage claims.

The Enterprise Mobility team set out to build a damage report application that captures analytics on damaged bags, helps agents resolve baggage issues with the right information, and reduces the money spent on claims.

Delta aircraft taxiing on the tarmac

Role

I led the complete design strategy, partnering with a business analyst, developers and subject matter experts from the first interview through to the live pilot.

Process

  1. 1

    Discover

    SME interviews and field visits to the ramp and bag room

  2. 2

    Design

    Workflows, a decision tree and an icon-led interface

  3. 3

    Test

    Figma prototype tested on the Zebra device with agents

  4. 4

    Iterate

    Acted on what agents actually did, not what we assumed

  5. 5

    Redesign

    Outdoor-readable palette and glove-friendly controls

  6. 6

    Deliver

    Live pilot with real-time analytics for the business

Steps 3 to 5 repeated until the design held up with real agents

Discover

I interviewed SMEs who had previously worked in the roles we were designing for, which gave us a rare mix of business and real-user perspective. Together we identified ramp agents and baggage service agents as the primary users.

We explored every scenario where the app would be used. For example, a ramp agent loading an aircraft who finds a damaged bag opens the app and submits a report on the spot. To encourage reporting, the business wanted a standalone tool with anonymous submissions.

We then went into the field to learn how the baggage process really works and the words agents use for everyday objects.

Pain points from the ramp

  1. 1

    No way to track or report bag damage, which made it hard to resolve issues with upset customers.

  2. 2

    Difficult to know when, where and how the damage occurred.

  3. 3

    Hard to identify which type and part of the bag was damaged.

Business goals

  • Identify when and where damage occurs to bags and mobility devices
  • Build a fillable-form app for the Zebra scanning device
  • Gather analytics on date, station, area, type and part of damage to defuse customer issues

User goals

  • The app should perform fast
  • An intuitive design for quick submission
  • Report any type of damaged item, however it was found
  • Report damage anonymously

Design

I created a workflow diagram so the whole team could follow the user journey. At this stage we spotted missing scenarios and adjusted the flow before any screens were built.

Landing 1
  • Scan or enter bag tag
  • Reporting station
  • Damage date
Questions 2
  • Five reasons
  • Icon choices
  • Back and next
Comments 3
  • Optional text
  • Submit report
Success 4
  • Confirmation
  • Last scanned tag
  • Scan next bag

Question tree

I drafted a decision tree so everyone understood the question structure and which choices appear after each answer. Try it below. Each answer moves you forward, just like in the app.

Where did the damage occur?

Your path: Pick an answer to begin

Visual design

My strategy was a self-explanatory interface. Every answer has an icon that matches the agent’s mental model, because people recognize images faster than words and remember them longer.

To get the icons right I met ramp agents in the bag room and at the aircraft to learn the exact terms they use with each other every day.

Swipe to see all screens

Reporting flow, part one

1. Splash
2. Scan bag tag
3. Where it happened
4. Where it was found
5. Activity

Reporting flow, part two

6. Item type
7. Damaged part
8. Comments
9. Success
10. Ready for next bag

Testing and iterations

I built the prototype in Figma and ran it on the Zebra device itself, so agents experienced the real look, feel and speed. Testing on actual hardware also saved development time later.

User testing was the most effective way to gather meaningful feedback.

Removing the scan icon

A scan icon beside the input was meant to nudge agents toward the scanner gun. Rather than debate it internally, I proposed testing it. Agents tapped the icon instead of using the scanner, so we removed it.

Readable in full sunlight

The app is used outdoors, and bright light washed out our first dark palette. I designed three color variations and tested them on the ramp. The light palette won, and it is the one shown in the visual design above.

Before
After

A success screen people can read

The success message originally flashed and disappeared. Agents were unsure what number they had just seen, so we added a home button that keeps the confirmation visible until they move on.

Before
After

From toggle to radio buttons

Selecting Aircraft opens an inbound or outbound choice. Agents wearing gloves struggled with the toggle, some slid it instead of tapping, and others found it unclear. We switched to radio buttons, which succeeded when retested.

Before
After

Performance testing and benefits

We tested the app in real time and captured the analytics the business expected, from station and area to item type and damaged part.

Live analytics from pilot reports

Mobile where the work happens

Existing damage reporting was web only. Agents can now report on the ramp, in the moment.

Root cause insight

Early reports reveal which stations and gates see the most damage, so teams can take corrective action.

Lower claims, happier customers

Fewer damages reduce claim spend, and better service protects revenue.

The Home Depot

Research that helped merchants plan faster, clearer assortments

As Staff UX Designer on the assortment planning platform, I led discovery into how planners, channel managers and merchants make decisions across stores, online and distribution centers.

My role
Staff UX Designer
Users
Merchants, assortment planners, channel management
Partners
Product owners and developers
Focus
  • UX Research
  • Persona
  • Scenario Mapping
  • Task Analysis

The Home Depot, research project 1

Delivery SLA: mapping the promise behind every order

Discovery research into how teams decide how fast a product can reach a customer, and how much manual coordination that decision takes today.

My role
Staff UX Designer
Method
11 user interviews across 5 groups
Team
UX, product management, engineering
Focus
  • UX Research
  • Task Analysis
  • Process Mapping

What is a delivery SLA?

The delivery service level agreement is the promised time in which we expect to deliver a product a customer has ordered.

Business goal

Offer same-day or next-day delivery to 90%+ of the U.S. population.

The problem

To determine a delivery SLA for a SKU, channel management and assortment planners passed information manually between teams. Every request needed heavy coordination and hand tracking.

Why we researched

  • Understand the current SLA process, today’s challenges and future needs for assortment planning and channel management.
  • Learn how channel management uses the SLA to decide which distribution center a SKU is assigned to.
  • Validate whether this is a real problem for merchants today, a future problem, or one other teams already solve for them.

UX approach

Our team’s end-to-end UX process.

  1. Understand
    • Business goals and aspirations
    • Why the work matters
  2. Research & analysis
    • User base and scenarios
    • Needs, expectations, current journey
  3. Ideation
    • Synthesize findings
    • Sketches and storyboards
  4. Design
    • Design for opportunities
    • Create prototypes
  5. Validate
    • Test plans with users
    • Peer and stakeholder feedback
  6. Iterate & deliver
    • Refine from feedback
    • Ship and monitor

Research planning

Before any interview, I set up a shared discovery document and brought product owners and developers together to add questions and assumptions. Building the guide as a group aligned everyone on what we needed to learn.

Discovery script: Delivery SLA

Created by Trisha and the product team, peer reviewed by a UX colleague

  • Problem statement
  • Research goals
  • Assumptions
  • Interview questions
  • Participant list
Research and discovery goals
  • Learn how the delivery SLA is used today.
  • Research what information is shared with channel management to help decide which DC a SKU is assigned to.
  • Work with the supply chain network product team to see what could be streamlined or automated.
Assumptions we set out to test
  • Channel management receives delivery SLAs from assortment planning and merchants.
  • Channel management then decides which DC each SKU is assigned to.
  • Merchants and planners know every SLA value, such as same-day or next-day delivery.
  • Channel management needs more than SLAs: where to sell the SKU geographically and which building to stock it in.
Interview guide: general questions
  1. Please introduce yourself: your role, time with the company and time in your current role.
  2. What does delivery SLA mean to you? How would you describe it?
  3. Where and how are you involved in this process? Walk us through how you specify an SLA, when you assign it, how many SLAs exist and what factors matter most.
  4. What tool do you use to assign a delivery SLA? Could you walk us through the steps?
  5. How often do you submit these requests, and how many SKUs go in each one?
  6. Once submitted, how do you track whether a DC has been assigned?
  7. What happens if a request is rejected?
  8. Do you store or track these requests? For how long, and in what tool?
  9. Why is SLA history kept, and how does it help?
  10. How do you know what has been assigned to a building?
  11. What challenges do you face when assigning a delivery SLA?
  12. How do you work around them?
  13. What would you add to or remove from the current process, and why?
  14. Which other groups should be involved?
  15. Is there anything we did not cover that you would like to share?
  16. Is there a merchant or planner you recommend we speak with?
Follow-up questions added after early sessions
  1. Who initiates an SLA request, and what analysis comes before the recommendation?
  2. What is the merchant blueprint sign-off, what does it contain and how is it shared?
  3. Could you say more about the challenge of getting a SKU-centric view?
  4. How often do merchants change the planner’s SLA recommendation?
  5. Which database is updated, and could that be systematic?
  6. Where does the planner get the SLA value from?
  7. How long does the analysis take per request, and what is the average SKU count?
  8. How often is the SKU list sent to channel management?
  9. What are the building targets for 2–3, 5 and 10 day SLAs?

Method: user interviews

We ran 11 time-boxed interview sessions across 5 user groups to understand and validate the current process.

User groupSessions
Assortment planning5
Channel management3
Pro e-commerce planning1
Online assortment planning1
Store and online merchants1

Current process, as it happens today

A task analysis of how an SLA moves between merchants, assortment planners (AP) and channel management (CM).

  1. Merchant + AP
    1

    AP partners with merchants to plan an SLA strategy by category. After merchant approval, AP emails the SLA request to CM.

  2. CM
    2

    CM replies by email with the SKUs to onboard and the proposed building list.

  3. AP + Merchant
    3

    AP reviews the building list with merchants and shares a spreadsheet of SKU count, target SLA, building count and locations.

  4. AP
    4

    AP confirms the plan back to CM.

  5. CM
    5

    CM onboards the SKUs, adds them to its SLA dashboard and can report status for each SKU and building.

  6. AP
    6

    AP monitors CM’s dashboard, while AP analysts track shared and onboarded data in a separate tracker.

Maintenance process

  1. 1

    AP submits a form with a spreadsheet template of proposed SLA data.

  2. 2

    The form stores the data and template in a shared repository.

  3. 3

    A data table combines form data, CM onboarding status and other SKU details.

  4. 4

    AP analysts pull CM data to see which SKU is assigned to which DC.

  5. 5

    AP queries the data for a holistic view of SLAs.

Challenges in their own words

Getting a SKU-centric view for the merchants.

Assortment planner

Our team approaches merchants to establish an SLA strategy, but we hear they are unsure how to plan it.

Assortment planner

We don’t want merchants to think about buildings, but about SLAs from both a regional and a national view.

Assortment planner

Today the platform only supports core and store SKUs, and we don’t plan assortment by differentiating online, store or core SKUs.

Assortment planner

We have no visibility, or if it exists we don’t know where to look: what is onboarded, its SLA, and whether we can meet it.

Merchant

Initial opportunities

Identify SKUsMerchants and planners build the list to assort.
Send requestThe request goes to channel management.
Receive decisionCM sends back where the SKU will be stocked.
Online SKU visibilityThe platform supports core SKUs today.Opportunity
Achieved SLAShow the SLA actually delivered, not just the target.Opportunity

Main findings

Who owns the source of truth?

Channel management already has its own dashboard. There is an opportunity to surface the achieved SLA for each SKU.

What comes after targets?

Once every SKU has a target SLA, does the need change when regional assortment becomes mainstream?

Today’s pain or tomorrow’s need?

Is the delivery SLA a current growing pain, or a future need driven by the 90% delivery goal?

Avoid added complexity

Would bringing SLAs into planners’ and merchants’ tools add unnecessary complexity to their work?

Next steps

  1. 1

    Share research with the supply chain network team.

  2. 2

    Partner with them to understand how CM uses AP’s proposed SLA values.

  3. 3

    Map the database flow to see what information is available and where.

  4. 4

    Sketch future state ideas, then validate with peers, stakeholders and users.

Appendix: domain knowledge

Context I documented to help the wider team speak the same language.

Browse or store only SKU

Available in store and cannot ship to home.

Shared SKU

In stores and online fulfillment centers. Ships to home, can be picked up, or scheduled for delivery.

Online only SKU

Stocked only in fulfillment centers. Ships to home or to a store.

A store-only SKU becomes shared once it is stocked in fulfillment centers, so the category depends on where the SKU is available.

SLA framework

The SLA depends on the delivery method, parcel or truck, and the SLA drives how many buildings a SKU must be stocked in.

Parcel SLABuildings needed
1 day, 90% of population12
1 day, 70% of population7
2 days3
3 days2
Truck SLABuildings needed
1 day16
5 days6
10 days3
Pro e-commerce planning: current process and challenges
  • Pro e-commerce partners with merchants to get products into buildings for scheduled delivery, prepares a planning template and emails it to channel management.
  • Channel management uploads the template into its system, and the team tracks what is approved and in which building.
  • Challenge: getting SKUs set up correctly in the right market, relying on merchant planners for some of that data.
  • Challenge: Pro is incremental assortment, so taking a new product from start to finish in specific markets is slow.

The Home Depot, research project 2

What a holistic view of the assortment means to merchants

Interviews with store, online and hybrid merchants revealed how much time they lose stitching together data from many tools, and what a single view should show.

My role
Staff UX Designer
Participants
9 merchants and merchandising partners
Outputs
Persona, scenario map, needs, prioritized ideas
Focus
  • UX Research
  • Persona
  • Scenario Mapping
  • Task Analysis

Overview

Merchants plan assortments across stores, online, regional markets and distribution centers, but no single place shows all of it. The team asked: what does a holistic view of your assortment mean to you, and what would it help you accomplish?

Who we spoke with

3 store merchants, 3 online merchants, 1 hybrid merchant, 1 online merchandise planner and 1 online assortment partner.

Two interview tracks

Separate guides for store and core merchants and for online merchants, each with 10 questions.

Synthesis toolkit

Affinity mapping, persona, scenario mapping, need statements, storyboards and an impact–effort matrix.

Interview guide highlights
  1. What does “a holistic view of your assortment” mean to you?
  2. Who needs this view: merchants, planners, analysts?
  3. What challenges do you face getting it today?
  4. How do you get it today, and from which sources? What is missing?
  5. If the platform already had this view, how would you describe it?
  6. What would it help you accomplish that is painful or not done today?
  7. What is the most important information in the view, and why?
  8. How do you use that information?
  9. How long would you wait for a holistic report, and when would you use it?
  10. How many SKUs would you typically review at once?

Affinity mapping

We captured every interview on a shared board, organized notes by question and participant, then clustered them into themes and set aside what was out of scope.

Interview notes grouped by question, with emerging trends on the right

Themes that emerged

Assortment typesFulfillment typeProduct sizesSales performanceData to plan the overall assortmentAttribute-based sales reportingPartnering with cross-functional merchantsUnclear regional assortments

What merchants told us

We need to track data at various sources to get the holistic view of the assortment, which is time consuming.

Online merchant

Regional assortment feels blind. Is it even working?

Store merchant

Any visibility would be a start. Some central place to see everything nationally assorted and in fulfillment centers.

Online merchant

Customers get frustrated when they can see the product but cannot buy it.

Online merchant

Up to 4–5 hours

One merchant spent this long updating assortments for 30 stores.

Many sources, no single truth

Reporting tools, dashboards, SQL pulls and colleagues, often with conflicting numbers.

Spreadsheets win

Merchants want data they can filter, pivot and manipulate, not just maps.

Persona

Built from the online merchant interviews. Name and details are fictional.

Maya, Online Merchant

Pro electrical department, home electronics class

Goal
Assort products nationally and know they can be seen and bought.

Frustrations

I need to track data at various sources to get the holistic view of my assortment, and it takes too long.
  • Many systems with conflicting information
  • Unsure how accurate some tools are, since values like margin are estimates
  • Even the teams she asks for accurate data are not always right
  • No clarity on the purpose and status of regional assortment
  • No tool that shows which items perform well enough to move into DCs

Partners

  • Merchants and merchandise planners
  • Quality control
  • Channel management
  • Assortment planning
  • Online maintenance

How she uses her tools

  • See where sales are coming from
  • Check performance by SKU
  • View assortment at DC level
  • Confirm shared classification and cost

Scenario mapping

We mapped what merchants do, think, see and feel while trying to get visibility today, and marked where the pain concentrates, since that is where the biggest need lives.

Scroll sideways to see all use cases
Use case
What is stocked where, by whom, how much
Data to plan the overall assortment
Ad hoc reporting on the online assortment
Sales, units, margin and profitability
Partner with other merchants
DoTools and people
Reviews a select set of SKUs; asks store or online merchants what is available where
Runs reports on long-tail items; combines dashboards to see online disposition
Queries data warehouses and combines tables to see the current assortment
Pulls reporting from the sales tool; checks profitability in a separate tool
Reaches out to partners for category performance data
Thinking
How many stores are in each DC? Is this product national or regional?
Is it a direct import? Is it sourced through a regional DC?
How can I manipulate the data to get what I need?
I need key attributes, sales and margin with SKU-level detail
Where are we over-penetrated, and where should we lean into stores?
Seeing
No view of regional assortments, their status or performance
Online data is not available at store level the way core data is
Browse-only SKUs are hard to see
Store-level online sales are not visible
Emails and ad hoc spreadsheets
Feeling
Unsure which products are assigned to which buildings; feels blind
Lacks the understanding to plan a holistic strategy
Frustrated by how long it takes to track down information
Not sure the data shown is trustworthy
Unclear on the purpose of regional assortment
The original working board from the synthesis session

User need statements

As an online merchant, I need…

  1. 1

    …visibility into what is stocked where, by which supplier, and how much, so I can understand my entire portfolio’s standing.

    Chosen for ideation
  2. 2

    …to view and differentiate national and regional assortment, so I can tell what products are where and how they reach customers.

    Chosen for ideation
  3. 3

    …to analyze the performance of all my assortment types by units, margin, dollars, cost and retail, so I offer the best products in the best locations.

  4. 4

    …to reduce the time it takes to gather assortment data, so I can make informed decisions quickly.

    Chosen for ideation
  5. 5

    …to manipulate my data and see my category by attributes such as color and size, so I can curate my assortment and avoid over-penetration.

Ideation storyboards

Working from need 1, the team sketched how a merchant would get to the answer step by step.

Viewing my holistic assortment

Look up a SKU or saved collection, see whether it is store, DC or vendor fulfilled, drill into each, then export or act.

Aggregated view

Start from summary counts per SKU, such as stores, DCs and vendors, then pivot or drill down into details.

Detail by SKU

Keep today’s search, add a stock column and open a drawer with store and DC detail, including an optional map.

Preferred SKU details

Let merchants pick SKUs to follow and receive a report, dashboard widget or notification.

Regional setup in one place

A connected experience across pricing, space and attributes for regional assortment.

Impact and feasibility

We plotted each idea by user impact and effort to decide what to take forward with users.

Outcome

Two quick wins, a holistic assortment view and SKU-level detail, moved forward for design and validation with merchants, directly addressing the time they lose gathering data.

A major insurance company

Underwriting assistant: accuracy earns adoption

Live MVP usability research on an AI-powered tool that ingests broker submissions, prioritizes work and prepares research and workups for property underwriters.

Role
UX research and product design
Study
Nov 2025, readout Dec 2025
Participants
4 underwriters and the line’s head
Focus
  • UX Research
  • Journey Map
  • Visual Design

Overview

Commercial property underwriters receive a steady stream of broker submissions by email, each with documents that must be cleared, classified and analyzed before a quote. The underwriting assistant automates much of that intake: it detects new submissions, extracts key fields, scores priority, and prepares external research and workups.

With the MVP live, the team needed to learn what was working in real conditions, what was slowing underwriters down, and what would make them trust the tool enough to use it daily.

How the assistant fits the end-to-end process

A simplified view of how a broker submission moves from inbox to underwriter, with the assistant doing the heavy lifting.

DeclinedRequest closed Quick decline foundUnderwriter notified1Broker submitsEmail to underwriter orshared inbox2Submission detectedAssistant spots it andopens a tracking record3Underwriter approvesConfirms the request toproceed4Documents classifiedAssistant stores, sortsand checks completeness5Key fields extractedValues scored forconfidence, record pre-filled6Ready for reviewPrioritized withresearch and workupBrokerAI assistantUnderwriterException
  1. Broker submitsEmail to underwriter or shared inbox
  2. Submission detectedAssistant spots it and opens a tracking record
  3. Underwriter approvesConfirms the request to proceed
  4. Documents classifiedAssistant stores, sorts and checks completeness
  5. Key fields extractedValues scored for confidence, record pre-filled
  6. Ready for reviewPrioritized with research and workup

Exceptions: declined requests are closed, and quick declines notify the underwriter.

Features that enable automated intake

  • 01New submission detection

    Watches inboxes and starts intake on its own

  • 02Reads instructions

    Spots quick declines or rating prep and routes them

  • 03Completeness check

    Flags missing documents and drafts a broker follow-up

  • 04Instant record setup

    Pre-fills a company record for a quick confirm

  • 05Confidence scoring

    Points reviewers to the values that need a second look

  • 06Required fields

    Configurable by line of business

  • 07Blocked submission check

    Explains why a submission is blocked

Powered bysharper classification accuracya service-level trackera submission status tracker

Research approach

Objectives

Find the pain points affecting adoption with real submission volume, learn how underwriters want to manage their queue, and explore how business prioritization fits in.

Method

60-minute moderated interviews over video with screen share, walking through real submissions end to end.

Participants

Four underwriters and the head of the line, each with 2+ years on the book and about three weeks of live use.

Discussion guide

Interview and study guide

Seven conversation themes, plus a design preference exercise. Tap a theme to see the questions.

01Usage of the assistant
  • Roughly how many submissions have you used it for since rollout?
  • What do you like most and least? Which features will make you more efficient?
  • Where is the value unclear, and what makes you hesitant to use it?
02Current state
  • Show me how you organize your work at the start of the day.
  • Walk me through how you analyze a submission.
  • How do you handle documents that arrive after the initial submission, and which are more accurate?
  • When do you prepare a workup, and for what share of submissions?
03Queue and prioritization
  • How do you manage your queue, and how large is it? How do items leave it?
  • What do you think of automatically removing items after a set time?
  • Is it clear the list is prioritized? Would you like to see a score, and the rules behind it?
04Many locations on one quote
  • What is the largest and average number of locations you quote?
  • What do you need to see for each building to analyze risk?
  • Compare three designs: each building separately, buildings summarized, and a map view.
05Accuracy and corrections
  • Do you check the submission brief against the documents? How does that affect your workflow?
  • How do you correct ingestion errors? Should new documents update existing values?
  • Should you accept or reject ingested values, and who should upload documents?
06Workup and future state
  • How often do you send workups for approval, and what must they include?
  • What would you change to make the assistant more valuable, and how would that feel?
07Submission summary preference
  • Which of two summary layouts do you prefer?
  • Should the section collapse by default? Which six fields should stay visible?
  • How do you feel about sub-sections, conditional fields and highlights?

Participants · commercial property underwriters

  • User 1Thursday, 9:30 am ET
  • User 2Thursday, 1:30 pm ET
  • User 3Thursday, 3:00 pm ET
  • User 4Thursday, 5:00 pm ET
  • User 5Friday, 10:00 am ET

User journey map

The journey map framed the study: where underwriters feel pressure during new business intake, and where the assistant could help most.

Scroll sideways to see the full journey
UNDERWRITER JOURNEY MAP

New business submission intake

Jordan A., Senior Underwriter
4+ years underwriting, 2 on the book

Scenario

Jordan manages submissions, assesses risk and delivers quotes. The line’s strategy has shifted several times this year. He supports adapting, but frequent changes add complexity, creating a need for clarity, efficiency and real-time system alignment.

User goals

  • Know which submissions fit current appetite
  • Triage high-potential opportunities early
  • Rate and escalate referrals with little back-and-forth
  • Quote quickly and accurately
  • Adapt without redoing work

Expectations

  • In-system appetite visibility
  • Confident, fast intake decisions
  • A platform that adjusts to business shifts
  • Alignment across underwriting, appetite and system logic
Journey steps
Submission categorization
Fast prioritization
Risk discovery
Rater completion / referral
Evaluation workup
Quoting
Actions and feelings
Follows up on accounts from the inbox Neutral, “under pressure to move fast”
Responds to colleagues and managers Joy
Forwards documents for clearance Relief
Decides to decline or pursue Frustrated
Quick triage from the email and files Neutral
Assesses risk and appetite fit Joy
Pushes early declines Relief
Prioritizes by broker, date and completeness; flags missing items Frustrated
Studies loss history Neutral
Reviews web search results Joy
Gathers crime statistics Relief
Gathers news articles Frustrated
Checks the location on a map Frustrated

Detailed actions to be validated in upcoming sessions.

Evaluates completeness Neutral, “under pressure to move fast”
Processes data, identifies gaps Joy
Quotes, requests info or declines Relief
Completes the worksheet Frustrated
Prepares proposal within authority Neutral
Opens standard quote forms Joy
Adds forms as needed Relief
Sets limits and downloads forms Frustrated
Delivers quote to broker Frustrated
Pain points
  1. Appetite guidance lags updates
  2. Inconsistent risk tagging
  3. Manual clarification with the appetite team
  1. Frequent shifts in business focus
  2. Manual prioritization is slow and biased
  3. No automated appetite filtering
  1. Critical risk controls are not flagged
  2. No unified evaluation checklist
  3. Inconsistent data collection
  1. Rate tables lag pricing strategy
  2. Referral triggers are not transparent
  3. Approval paths vary by region and product
  1. Appetite can change mid-process
  2. Templates vary by underwriter
  3. Rework when risk falls out of scope
  1. Unsure quote reflects current pricing
  2. No confirmation step before sending
  3. Gaps between quote prep and appetite shifts
Opportunities
  1. Dynamic categorization that updates automatically
  2. Appetite flags in the submission form
  3. Real-time underwriting criteria in one place
  1. Smart filters based on business goals
  2. Highlight high-value submissions
  3. Automated appetite scoring at intake
  1. Configurable, weighted checklist
  2. Auto-prompted questions by industry or size
  3. Inline risk guidance
  1. Always-current rate logic
  2. Clear referral thresholds and routing
  3. Automated approval reminders
  1. Real-time appetite validation
  2. Standard evaluation templates
  3. Early prompts when appetite risk appears
  1. Alignment check before finalizing
  2. Templates that adjust to current direction
  3. Post-quote tracking with insights
Summary
A solution-oriented underwriter whose greatest need is real-time system alignment that supports operational consistency, clear prioritization, reduced rework and faster decisions.

Key usability themes

  1. 1

    Accuracy is essential for adoption. Time savings disappear if underwriters must check every value.

  2. 2

    Everyone sees potential, if it reduces processing time.

  3. 3

    Prioritization must be transparent, with visible scores, before underwriters will work from the console.

  4. 4

    The console is overwhelming, with too many items and no way to remove or focus them.

  5. 5

    The external research risk meter is a major time saver. Buildings at one address should be grouped.

  6. 6

    Underwriters still prefer email to prioritize work and open documents.

  7. 7

    All participants preferred the redesigned submission summary.

MVP wins

Risk scoreExternal researchWorkup

“If accuracy can be achieved and features continue to be refined, expected time savings is 5 to 30 minutes per account, depending on complexity.”

Accuracy is the top criterion for adoption

There is no level of accuracy where I would feel comfortable not opening the documents and just trusting the system.

User 3
  • Users need trust in accuracy to streamline work
  • Wrong effective dates and addresses can compromise rating
  • Loss runs are hard to process because formats vary
  • At 80% accuracy, use may be limited to research and workups

Rollout issues blocked prioritization

The system shows all submissions, not just the ones it ingested. The order doesn’t make sense.

User 1
  • Many submissions lacked a received date
  • Hundreds of queue items were inaccessible or far in the future
  • The priority view surfaced months-old accounts

The console needs focus and transparency

Prioritization lacks transparency. I can’t tell why one item is more important than another. It’s a black box.

User 2
  • Default to this week’s items, with a 30-day filter
  • Color-code high, medium and low priority
  • Explain why each submission has its priority
  • Show business-assigned priorities, formatted clearly

External research: a clear win to build on

Group buildings at the same address together and show the combined TIV and building count.

User 4
  • Roof lines, street view and building condition save significant time
  • Amenities like pools and fences should not count as locations
  • Distance to coast and between buildings is essential for catastrophe exposure
  • Show COPE details on hover

Email remains the workflow hub

Outlook is always going to be used for workflow management because of all the correspondence. I’m going to choose a person over a system.

User 5
  • Underwriters handle 50 to 75 emails a day, organized by stage
  • Email attachments are faster than the document hub
  • Broker changes are not reflected in the tool
  • Show the entire email thread, not only the first message

Submission summary redesign, universally preferred

I like the redesign much better. My eyes go straight to the policy details section.

User 2
  • Better formatting, spacing and readability
  • Focus on policy details and TIV
  • Dividing lines help visual processing

Who benefits most

For a junior underwriter without established relationships, this is a great way to get in the door and look at more submissions.

User 1
  • Experienced underwriters rely on proven processes
  • Most valuable for junior and lower-authority users
  • Especially helpful for large schedules via external research

Conclusion and recommendations

Data accuracy is the critical success factor. Underwriters value external research and workups, but usefulness depends on trust in the data, and prioritization must fit a workflow that stays centered on broker relationships and email.

  • 95%+data accuracy before relying on automation
  • 1–2 weeksdefault console window with only actionable items
  • High · Med · Lowtransparent, color-coded priority levels, each with a reason
  • 1 addressgrouped buildings with combined TIV and count
  • Outlookdesigned alongside, not as a replacement