Enterprise Transformation

Dell Technologies: Restoring Trust in a Mission-Critical Sales System

Role

Lead Product Designer

Timeline

8 Months

Deliverables

Solution Dashboard, AI Guided Intelligent Product Configurator

Summary

Dell sales agents configure complex IT infrastructure under tight deadlines, where errors directly impact revenue and customer trust. Over time, the legacy sales ecosystem became fragmented, dense, and reactive — eroding confidence and stalling CSAT at 72%. I led the end-to-end redesign of the configuration experience, reframing the problem from “improving usability” to restoring trust and confidence under time constraints. The result was a unified configuration workspace that reduced cognitive load, minimized errors, and improved sales efficiency.

The Next-Gen IT Product Configurator

Unified Product Configurator with AI Collaboration Assistant

bolt

18% Faster

Time spent configuring complex servers soluitions decrease across IT infrastructure

security

Restored Trust

11% increase in CSAT Score.
Trust was restored through improved usability and reliability

The Problem: Erosion of Trust

Sales agents and partners relied on a fragmented set of legacy tools to configure complex infrastructure solutions. These tools were not designed to work together — forcing users to navigate dense interfaces, resolve errors reactively, and constantly switching contexts. In high-stakes selling environments, this friction did more than slow users down — it reduced confidence in whether the system could produce viable, customer-ready solutions. When trust in the system declines, users compensate with manual workarounds, rely on personal product knowledge for validation, and external communication. Over time, this behavior compounds inefficiency and risk. CSAT plateaued at 72% satisfaction rate of the tool, revealing deeper usability and confidence gaps.

Discovery: Understanding Confidence Under Pressure

Rather than auditing screens in isolation, I focused on how agents actually worked.

The issue wasn’t just only usability (the assumed problem).
It was confidence, due to:

Reactive Not Proactive Error Handling

Validation errors were surfaced late and required manual resolution, often taking 10–15 minutes per issue.
Data Paralysis

Information density was high, but actionable insight was dangerously low.
Fragmented Workflow

Agents switched across platforms to complete a single configuration, increasing risk of data loss and mental fatigue.

"I know how ot work-around the errors and get them fixed, because I’ve done it so many times. But for new sales users, the learning curve is steep."

— Dell Sales Partner, Fortune 500 Client

Value Stream Mapping

By producing a value stream map I was able to visualize an end-to-end overview of the complex workflows, enabling teams and stakeholders to identify non-value-added time (waste), reduce bottlenecks, and speed up delivery. By mapping current and future states, VSM enhances collaboration across departments, improves process efficiency, and fosters a data-driven culture of continuous improvement.

Most time-consuming actions:

Component selection
System Performance
Unclear Error Resolution
User Collaboration
Context switching between various tools
Number of Validation errors to resolve

Detours

Here is an example of how validation errors can affect users' time on task which translates to lost sales.

Example Problem

"When configuring complex IT infrastructure solutions, compounding capability issues and unclear error resolution slows me down."

Solution

To solve this the user must scroll to view errors, which takes focus away from configuration. Then try to make sense of the error and resolve with personal product knowledge or raise a support ticket. This back and forth viewing errors and making the correct selections can take an average of 10–15 min.

Here is a calculation of how simple detours can affect users' time and sales — Time on task: 10 min

# of Users	# of Iterations	Cost to Dell*
1	1	$1.34 USD
1	20	$26.81 USD
1,000	20	$26,808 USD $148.94 / second

*Average Sales Salary: $75,122 – $101,606 (base + commission).

10min

Time on Task

What appears to be a minor task is repeated 10–20 times daily, across dozens of quotes and multiple sales representatives — scaling into significant productivity loss and hours of avoidable operational overhead for even small changes.

10–20×

Daily Repetitions

1,000+

Sales Reps Affected

$26K

Daily Cost Estimate

A Strategic Reframe:The Unified Solution

Originally, the initiative was positioned as a next-generation configurator redesign. Through research, the opportnity was reframed to: Design a unified, intelligent workspace that supports confident decision-making in complex, high-pressure work environments. This shifted the focus from interface cleanup to workflow orchestration, error prevention, and system transparency.

01

Unifed Product Configurator

A unified product configuration experience for all users when exploring, comparing, and configuring products and services, with proactive error prevention and intelligent guidance to support confident decision-making in complex sales environments.

02

Intelligent Automation

An AI-powered collaboration assistant that provides real-time, contextual guidance and automates routine tasks — reducing cognitive load, preventing errors before they occur, and enabling users to focus on strategic decision-making rather than manual configuration.

Real-World Impact

35%

Reduction in Configuration Errors

Reduction in technical sales support tickets related to configuration errors, using intelligent automation.

1.2M

Annual Savings

Estimated operational cost savings for early-adopter clients.

+11%

Increase in CSAT Score

Elimination of configuration-related complaints and improved user satisfaction.

Lessons Learned

visibility

Visualizing Complexity as Clarity

Managing enterprise infrastructure isn’t about hiding complexity, but organizing it. By shifting from manual validation to AI-guided intelligence, users can focus on intent rather than relying on technical sales teams.

groups

The Value of Embedded Design

The three-month research phase proved that "designing for" is different than "designing with." Witnessing sales partners ticking time bomb of incompatibility issues provided insights into high-contrast needs that no survey could capture.

sync

Incremental Evolution vs. Total Refactor

I discovered that enterprise sales tools operate within complex ecosystems—pricing engines, inventory systems, fulfillment logic—so front-end decisions must align tightly with backend constraints and data integrity.