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A virtual assistant for B2B AI solutions

Designing and defining how a conversational virtual assistant could help bridge the gaps between business users and the sales representatives when seeking guidance for certain use cases . 

Goal:

  • Designing a Gen AI virtual assistant for the AI page for Dell.com to drive engagement & consult our users on the AI solutions.

  • Capture a qualified sales lead at the end of the experience.

Objective:

  • Understand how sales guides conversation today takes place.

  • Construct a conversational Gen AI flow that is fluid to match user's intent and accurate outcome.

Project Details:

Tools: Figma, Usertesting.com

Role: Lead UX Designer

Duration: August 2024 - Present

Metrics:

Overall value perception by 90%

Usability assessment by 80-86%

The current Problem

"Today the Al Journey is complicated, customers don't necessarily know what Al solutions they need.They need to speak with a subject matter expert without feeling the pressure of sales."

Current Journey  

Homepage

Broad Category Page

Complex Filters

Technical Comparison

Unclear Decision

/ Drop-off

As the current user journey is linear, rigid and not adaptive to user needs.

Its time to stop pushing customers down a path and start walking beside them.

current view.jpg

Here is a detailed look at the ideal business persona and the user journey focused at the explore & learn phase of the user journey for the AI solutions at Dell.

Persona ITDM.png

ITDM (IT Decision Maker) was primarily considered for this user experience in building out a combination of business and technical users coming in the AI solutions page at platform where they seek consultations for their AI use cases

User Journey
Where we focused on the Explore & Learn part for onboarding and consulting users in the AI enterprise solution platform.

User Journey Map.png
MVP
Process Explained

Scope Ideations

Goal 1: Have customers understand & identify which Dell AI solutions meet their needs.

Goal 2: Create High value engagement while increasing overall leads.

Goal 3: Elevate engagement from traditional chatbot to drive collaborations.

ideations.jpg
Defining the guided conversations

As the user journey became more complex, so did the need for structure and clarity. What began as open-ended chat interface evolved into guided conversations, purposeful, goal driven flows designed to reduce decision fatigue, surface relevant options, and offer just the right amount of support at every step.

Defining the Guided conversations through Conversational Construct

Conversational Loop

Prescribed AI Sales Topics + Gen AI

User Engages

Understand
Intent

Topic 1

Recommend
AI Solutions

Convert to
Qualified Lead

Introducing Side Panel

To support users throughout their shopping experience, we introduced a full height side panel assistant.

A design Choice that allows support to stay present and helpful without disrupting the flow of the page.

This approach offers a seamless way to-

  • Provide contextual recommendations through rich, visual product cards.

  • More conversational space for rich content and it doesn't overlap Dell platform page content.

  • Offer summarised guidance to speed up decision making.

It support that feels integrated not serrated from the journey, but part of it.

We tested this design with users from IT, Finance and Operations teams who regularly make high takes, complex purchases.

Pink Poppy Flowers

Suggestion Prompts based on the questions 

Dynamically offers relevant follow-ups to guide users towards solutions more efficiently.

Utility Icons

For expansion to Full screen , Minimise and for More Menu options such as Live chat, Save Transcripts and End chat

Introducing New Modalities 

Use Case Recommendations and Sales Contact Process

report.png

Key Takeaways

  1. Since most users preferred the side-by-side view and the "canvas" full screen view. Therefore we should keep these viewing modalities in the PoC.
     

  2. Users also found value of the technical specification information in the detail view.
     

  3. Since users found the inline Response Prompts to be helpful in answering questions: rely on these if GenAl maintains a high level of accuracy.
     

  4. Reduction of cognitive information load from Test 1 of 60% to 40% in our Test round 2, therefore we will make our detail view accessible and concise to process.

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