Streamliner

Designed a holistic global post-sales framework that enabled 5× faster credit processing.

As a Product Designer at Wipro, I worked with Dell’s global post-sales operations to unify Credit, Return, and Exchange (CRE) workflows across 17 countries. I led research, journey mapping, service design, and interface design to create one scalable framework that connected regional business rules, operational processes, and digital experiences end to end.

Client

Dell Technologies (via Wipro)

Role

UX Designer

Industry

Supply Chain

Scope of Work

Service Design

UX Research

Interface Design

Overview

A Global Post-Sales Framework

Streamliner is Dell’s global framework for managing three types of post-sales requests: Credit, Return, and Exchange.

• Credit — resolving a customer’s billing issue and issuing a credit.

• Return — handling the return of a product and processing the resulting refund.

• Exchange — handling a faulty product and coordinating its replacement.

These requests involve multiple teams, systems, and business rules that can vary across regions. Streamliner brings these processes together into one scalable framework, creating a more consistent way to handle post-sales requests across Dell’s global operations.

Problem

One Process, Seventeen Different Versions

Before Streamliner, how a credit, return or exchange request was handled depended on where the customer happened to live. Every region had grown its own policies, tools and hand-offs, and almost every decision waited on a person. Dell wanted one post-sale experience that could scale globally without ignoring local realities.

Process

From Seventeen Local Processes to One Adaptive Framework

A problem at this scale needed a method we could repeat in every region and still compare across them. We ran the same five stages everywhere, and brought architects, product, engineering and sales in at the moments where their decisions mattered most.

Project Timeline

Discovery

Understanding Post-Sales Across 17 Countries

We interviewed 60+ care agents, operations teams, and business stakeholders across 17 countries and 7 regions. We studied how Credit, Return, and Exchange requests were handled, where processes differed, and which differences were driven by local policies, teams, or systems.

How We Studied the Process

To compare workflows consistently across regions, we used the same research structure in every country while allowing room for local context.

From Interviews to Comparable Evidence

Every session followed the same structure, making findings comparable across countries while still capturing regional differences.

Current State

Mapping the Existing Experience

Before designing a unified post-sales framework, we needed to understand how Credit, Return, and Exchange requests actually worked across Dell’s different markets.

We mapped the current state from three perspectives — the user experience, operational process, and service infrastructure — to uncover regional variations, dependencies, and opportunities for improvement.

Journey Maps - Understanding the experience across countries

We mapped the end-to-end Credit, Return, and Exchange journeys across countries to understand how customers and care teams experienced each request, including key touchpoints, handoffs, pain points, and local variations.

As-is customer journey: five phases from first contact to credit received, with what customers did, thought and felt, and who owned each step.

Service Blueprints - Connecting the experience to the systems behind it

We connected the frontstage experience with the backstage processes, systems, data, and business rules supporting each regional workflow. This revealed where underlying dependencies shaped the experience and limited consistency.

As-is service blueprint for return methods (USA): customer actions, front-stage and back-stage work, and the support systems behind them.

Process Maps - Understanding how the work flows across regions

We mapped the operational flow within each region, tracing how requests moved across teams, systems, and handoffs. This helped us identify shared workflows, regional differences, and operational dependencies.

As-is process map: how an online return actually moved between Dell.com, care agents, logistics and finance systems, with every manual hand-off exposed.

Findings

Four Patterns Across Regions

Comparing the journey maps, process maps, and service blueprints revealed four recurring patterns across regions. While the details varied, each pattern added effort for agents and uncertainty for customers.

01
Carrier Booking Was Mostly Manual

Only 1 of 7 regions had automated carrier integration.

  • 6 regions relied on portals or email

  • Agents had to coordinate carrier bookings manually

  • Each request depended on an additional hand-off before it could move forward

What this meant: Carrier integration was a clear opportunity to reduce manual effort and variation.

02
Return Timelines Varied Widely

Returns took 5–7 days in one region and 2–4 weeks in another.

  • Timelines depended on local processes and hand-offs

  • Customers had limited visibility into what happened next

  • Delays often resulted in follow-up contacts

What this meant: The experience needed more predictable hand-offs and clearer status.

03
Refund Triggers Differed by Region

Refunds were triggered at pickup or warehouse receipt, depending on the region.

  • The same request followed different regional rules

  • Agents had to know which rule applied locally

What this meant: The framework needed to support local rules without creating a fragmented experience.

04
Status Updates Were Mostly Manual

Every status update was sent manually by a care agent.

  • Customers had no consistent live tracking

  • Communication varied from region to region

What this meant: Status communication was another opportunity to reduce manual work.

Synthesis

From Findings to Opportunity Areas

We brought together the findings from interviews, journey maps, process maps, and service blueprints to identify the systemic problems behind regional variation. Four recurring findings clustered into three opportunity areas, each framing a clear direction for the future-state framework.

Stakeholder Workshops

Turning Opportunities Into Design Directions

We brought regional care teams, business stakeholders, architects, and product teams together to explore the opportunity areas. Using How Might We questions, we challenged existing workflows, explored alternative approaches, and aligned on what a scalable global framework should enable.

As-is process map: how an online return actually moved between Dell.com, care agents, logistics and finance systems, with every manual hand-off exposed.

Design Decisions

The Decisions That Shaped Streamliner

Designing Streamliner meant making a series of choices about scale, automation, the agent experience, and rollout. We weighed different approaches, made deliberate trade-offs, and used research and technical constraints to guide the decisions.

Framework
Five Modules, One CRE Lifecycle

Streamliner standardises Credit, Return, and Exchange worldwide by splitting the workflow into five core modules. Each module owns one stage of the return lifecycle and connects to Dell's enterprise systems, so regions share the same structure and only the business rules change.

Designing for Scale
A Shared Core With Local Rules

With the five-module framework established, the next challenge was making it work across different markets without creating a new process for every country. We separated the experience into two layers: a consistent Global Core and a configurable Regional Rule Layer. The Global Core remain the same everywhere, while Regional Rule Layer can adapt to local requirements.

Global Core
Create & Edit → Verify & Review → Return Method → Process & Track → Disposition & Recovery

Regional Rule Layer
Policy & eligibility · Carrier booking · Customer updates · Refund trigger · Expected timeline

Two example profiles based on regional variations identified in research. Explore each profile to see how the same core adapts to local rules and requirements.

Product Logic
Creating Business Rules for Automation

Verify & Review is the decision layer of Streamliner. I translated the business requirements into a sequence of rules that checks each request before deciding whether it can be approved automatically, rejected, or sent to an agent for review.

Five sequential checks

  • Eligibility — Is the request within policy?

  • Policy period — Does it meet the required timeframe?

  • Order details — Does the request match the relevant order data?

  • CRE history — Has a similar request already been processed?

  • Price match / partial refund — Does the requested adjustment meet the rules?

Future State
From Framework to System

With the five-module framework and regional rule layer defined, we translated Streamliner into a connected future-state service. The new model standardises how Credit, Return, and Exchange requests move through the experience while allowing regional rules and system dependencies to adapt locally.

What changed

  • One shared lifecycle for Credit, Return, and Exchange

  • Rules and regional variations separated from the core workflow

  • Automation and status updates built into the flow where applicable

Process Maps - Showing how the new workflow moves

We translated the five-module framework into an operational flow, connecting teams, decisions, and systems from request creation through resolution.

Future-state process map showing how Credit, Return, and Exchange requests move across the Streamliner lifecycle and supporting systems. This became the final reference diagram for engineering.

Service Blueprints - Connecting the new experience to the systems behind it

We mapped the backstage processes, applications, integrations, and support activities required to deliver the redesigned experience.

Future-state service blueprint connecting customer and agent interactions to the systems, teams, and processes behind them.

Wireframes were initially developed to align the team on the application's structure and user flow. These were then evolved into interactive prototypes that communicated transition states and user interactions, enabling consistent implementation by developers.

Impact

Pilot Results From ANZ Region

We tested the Streamliner framework through a proof of concept in the ANZ region (Australia and New Zealand), using 11 credit requests to compare the new workflow with the existing process. The pilot showed measurable improvements in both processing time and the number of steps required to create a request.

Reflection

What This Project Taught Me

Designing Streamliner changed how I approach complex products and services, especially when one experience needs to work across different contexts.

01 · Scalability Requires Controlled Flexibility

A global solution does not mean making everything identical. The core experience can stay consistent, but the system needs room for local rules, edge cases, and new markets to evolve without redesigning the whole experience.

02 · The Hard Part of Automation Is Knowing When to Stop

Automation is not just about deciding what to automate. It is also about designing the boundary between automation and human judgement. Designing that boundary meant accounting for ambiguity, regional variation, and cases the rules could not resolve confidently.

03 · Design the System, Not Just the Screen

Mapping journeys, processes, and backstage systems changed how I approached the UI. The interface is only one part of the experience; the real design challenge is making the people, rules, systems, and handoffs work together.

Explore Other Client Projects

Member Portal

As a Product Designer at an Indian consultancy, I worked on a 1.5-year project with a leading healthcare insurer. Starting with a UX audit, we rebuilt their incomplete mobile app from scratch with a new IA and new components in the design system.

Insurance in the Digital Era
Client

United Healthcare Group

Duration

18 months

Industry

Healthcare Insurance

Scope of work

App Design

Design System

Information Architecture

01 · Fixing the App's Information Architecture

Agents couldn't find things because the app was still running on the same information architecture as the web portal, a structure built for a desktop screen where everything is visible at once, not a phone. I rebuilt the IA from scratch based on real usage patterns.

Solution Highlights

  • Ran card sorting sessions to see how agents naturally grouped features

  • Reorganized 40+ screens into 5 task-based groups, cutting navigation depth by half

  • Validated the new structure with tree testing before wireframing

Challenge

Closing the Gap Between Portal and Mobile

The client's insurance agents work in the field, not at a desk, and had decided to make mobile their main channel. But the app was still missing features the legacy web portal had, so agents kept getting pulled back to desktop. Closing that gap is why I was brought on.

  • Users Leaving Mid-Task
    Mobile drop-off ran well above what the portal saw for the same actions.

  • Support Absorbing the Overflow
    Over 15,000 calls a month came from members who got stuck on the app.

  • Half the Portal Wasn't on Mobile Yet
    Several web portal features hadn't made it into the app, so agents had to switch back to desktop to finish the task.

Discovery

UX Audit & Key Findings

Before touching any screens, I ran a UX audit against NN Group heuristics and cross-checked it with two quarters of analytics and support ticket data. Four patterns kept showing up, and each one was quietly costing the business money.

Unclear Call-to-Action
"I wasn't sure if tapping that would submit my claim or just save it."
— Insurance Agent

About 3 in 5 users hesitated or picked the wrong action on core screens during user interviews. Second-guessing what a button does slows every client interaction and erodes trust in the tool itself.

Lack of Search Functionality
"It takes me longer to find the record than to actually do the work." — Support Staff

Finding the right plan took over 90 seconds on average. Instead of finishing on their phone, members gave up and switched to desktop.

Complex Navigation
"I know this feature exists somewhere, I just never know which menu it's hiding in." — Product Analyst

Users took 4 to 6 taps to reach screens that should've taken 2. Every extra tap meant more people abandoning the task, and abandoned tasks were flowing straight into support call volume.

Unclear Call-to-Action
"I wasn't sure if tapping that would submit my claim or just save it."
— Insurance Agent

About 3 in 5 users hesitated or picked the wrong action on core screens during user interviews. Second-guessing what a button does slows every client interaction and erodes trust in the tool itself.

Complex Form Structures
"On mobile I have to scroll left and right just to fill out one form. I'd rather just do it on desktop where I can see the whole thing at once." — Insurance Agent

Claims and enrollment forms had the highest drop-off in the app, around 40%. Biggest single driver of support calls.

Solution

Solutions Mapped to the Audit Findings

Each fix below responds directly to a finding from the audit. The goal wasn't a redesign for its own sake, it was to solve the specific problems agents were already running into every day.