Project:
Sales Dashboard
Deloitte
Project Duration: Jan ‘25- Sep ‘25
Role: Sr. UX/UI Design Consultant
Overview & Objective
Goal: Create a B2B sales dashboard for Sales Managers and Representatives of all levels
Purpose:
Provide a clear, actionable view of opportunities across all deals
Guide users toward the most effective actions for closing deals
Key Outcomes:
Reduce time spent on repetitive tasks and manual information digging
Target: Cut research time by 50% through centralized, insight-driven design
Enable faster, more informed decision-making with data front and center
Business Context
Deloitte’s legacy system, Jupiter, lacked an intuitive UX and the ability to easily direct users to take proper next steps.
A major pain point was that data wasn’t actionable — users couldn’t easily identify what required attention or how to prioritize tasks.
Sales representatives needed a dashboard that could highlight critical opportunities and recommend actions to optimize their workflow.
For example, when an account was nearing closure in the sales pipeline, the UI needed to guide reps on specific actions to help finalize “close out won” deals.
Discovery & Research
Mapped workflows and conducted interviews with Deloitte sales reps to identify user needs and goals.
User interviews uncovered pain points, desired features, and ideas on how to enhance task efficiency.
Collaborated with the client to uncover pain points and define key success metrics.
Designed a dashboard to surface opportunities, track performance, and reveal relationship insights.
Developed low-fidelity wireframes for quick validation, then refined into high-fidelity prototypes based on stakeholder feedback.
First, I started with a simple sales rep profile using Salesforce's OOTB components (ex/ Today's Action Items), while putting key insights at the top, and a trending chart to help the sales representative see trends over time.
I started by using tabs on the dashboard to separate categories. Knowing they wanted AI integrated into the wireframes, we added Einstein Assistant - an AI bot allowing the user to ask questions and receive next step guidance.
I evolved the low-fi design into highlighting total active opportunities, won opportunities, closed lost opportunities along with visuals that gave them quick insight to the status of their opportunities.
I then thought a filtering process would be helpful. The idea is, once the user selects their filters on the left, the right changes dynamically.
I did a few variations of these ideas. As you can see this chart is different from the line chart. I was trying to identify which chart was the most fitting for the scenario.
I came up with a "Pipeline Detail" tab in hopes that it would allow the stakeholders see that there are other insights we can show. The filtering seemed to complicate the design and I received feedback to remove the filters.
I also thought relevant news would be helpful to users on the bottom right. This would allow them to see what their competitors in the industry were up to.
I then understood that showing relationship insights might help the user. For example, if they needed to reach out to someone, they could quickly find them and see their details.
I demoed a clickable prototype where you click on someones name, and it would grow into a spider web type of design, so everyone related to that contact would now show.
Design Iteration & Prototyping
Challenges Faced:
Began with a request for a manager-level dashboard to track several opportunities and accounts.
User interviews revealed that sales reps with fewer accounts also relied on the tool.
Concluded the dashboard needed to be universal — effective for both managers and individual sales reps with fewer opportunities.
Shifted focus to a universal, scalable design suitable for all sales roles.
Created and tested a clickable prototype, refining it through stakeholder feedback with iterative changes.
Design Iteration Clickable Prototype
AI Integration:
Identified a need for more actionable user guidance within the dashboard.
Integrated Salesforce Einstein tool (AI) for interactive, data-driven recommendations.
This allowed users to ask questions and receive next-step suggestions in real time.
Added action buttons for quick navigation to relevant pages or contacts.
Created a clickable prototype showcasing AI-driven interactions and outcomes.
AI Clickable Prototype
Outcome & Impact
Designed a Salesforce Einstein–powered dashboard to deliver actionable sales insights.
Explored Next Best Action and Chatbot AI tools to support quick, data-informed decisions.
Pivoted when licensing and data limits emerged, optimizing the design within available tools.
Delivered a streamlined, user-friendly dashboard highlighting key metrics and next-step actions.
Resulted in a clear, efficient interface that empowered sales teams to act decisively and improve performance.
Final Prototype
Pivoted from a complex AI solution to a scalable, streamlined dashboard due to data and licensing limits.
Maintained transparent collaboration with the client throughout the redesign process.
Delivered a universal solution that met diverse sales team needs and resolved prior UX pain points.
Produced a clear, user-friendly interface that improved usability and laid the groundwork for future AI integration.