Increasing Productivity Through Smart AI and UX Design to Drive a 40% Increase in Internal System Efficiency

Verint Systems Inc

Is an international company focusing on Software as a Service in B2B markets, providing AI Bots to assist users across a variety of fields and practices. They are known for being a leader within the AI space for their innovation and consistency

User Experience Designer & Research Lead
At Verint, my role was to lead UX strategy and research during a significant expansion into AI markets. My work pinpointed key areas for improvement and implementation, directly enhancing product usability and performance—ultimately boosting customer satisfaction and driving increased sales
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Business Impact

24

%

Growth in AI-related annual recurring revenue contributed to

25

%

Reduction in user onboarding time through interface improvements and streamlined navigation

40

%

Increase in system efficiency after redesigning internal tools based on usability research and workflow analysis

Who Did We Impact & How
Solution Consultants
Their Challenge

Imagine being a solution consultant at Verint, ready to connect B2B companies with solutions that can transform their business. But reaching the right decision-makers at the right time often feels scattered and inconsistent — making it hard to maximize your impact.

My Solution

Now, imagine having access to powerful data insights that show where demand is growing, which industries are primed to buy, and what messaging truly resonates. You can track every interaction, follow up quickly, and personalize your outreach — all from one streamlined platform. With this data-driven approach, your outreach becomes precise and impactful. You connect with a larger audience, close deals more confidently, and help Verint grow smarter — one strategic connection at a time.

Design Philosophy
Driving Sales By Defining The Scope
Apps & AI in Workflow
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How I used Figma, WordPress, and Microsoft Teams to create user flows and conduct extensive user research — helping solution consultants use internal products more effectively at Verint.

I mapped out clear user flows in Figma and WordPress to visualize how solution consultants interacted with internal tools during their day-to-day tasks. To deeply understand their real pain points, I used Microsoft Teams to conduct extensive user research — running interviews, gathering feedback, and analyzing how they navigated systems and accessed resources.

By combining visual flows with direct insights, I identified gaps and areas for improvement, then iterated designs to better support their workflows. Resulting in streamlined, consultant-friendly tools that reduce friction, boost efficiency, and help Verint’s teams connect with B2B clients more confidently and effectively.

Design Systems
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Roadblocks & Resolutions

Challenge:
While designing for an AI-driven healthcare solution, I faced a steep learning curve around complex medical terminology and compliance requirements—risking delays in design accuracy and usability

Strategic Approach:
Instead of jumping into visuals, I mapped out a knowledge acquisition plan and engaged directly with healthcare SMEs to clarify user needs, terminology, and constraints. I also built a shared glossary to align the cross-functional team.

In parallel, I developed and tested multiple low-fidelity design iterations with both clinical and non-clinical users. This allowed me to validate usability, reduce cognitive load, and ensure accessibility within regulatory guidelines

Resolution:
By strategically onboarding into the healthcare domain and applying a research-driven, iterative process, I delivered a user-centered solution that minimized friction, accelerated timelines, and aligned with both business and compliance goals

Research Findings
Verint Product Data Research
Discovering and testing strengths & weaknesses of marketable systems

4.3

Average score of SC's, who felt confident on the value propositions of the systems tested

4

Average score of SC's, felt confident in the key differences between the Essentials and Enterprise versions/offers

4

Average score of SC's, felt confident are you demoing Project X8 to prospective customer based on their knowledge and training

Value Delivered

20% increase in efficiency related to search/training after implementing:

  • In-app training tooltips
  • Research lead to redesigned search with more filters and predictive text
  • Lead to training being more actionable through practice diagrams, leading to enhanced operations, creating more proficient revenue streams

User Productivity

  • 15% faster task completion (measured via time-on-task analytics) due to streamlined data retrieval.

Competitive Edge:

  • Differentiated the platform by addressing niche pain points that drive sales and thus revenue

Cost Savings:

  • Reduced training overhead by integrating more intuitive guidance into the UI
Next Steps & Lesson Learned
Future Steps:

| Continuing building demo systems in Wordpress -> conduct A/B testing

| Periodically do check in surveys for internal system mataince and accessibility

| Expand scope of data aggregation in internal systems

Lessons:
How I refined interview techniques.
After initial interviews, I added follow-up questions to clarify pain points, improving data quality.
How I refined questions to avoid bias and deeper insights.
I shifted from leading questions ('Do you find this feature useful?') to open-ended ones ('Tell me about your experience with this feature') ('What would you rate __feature')
How I adjusted interviews based on user responses.
When a participant mentioned an unexpected behavior, I probed further, uncovering a key usability issue
Meet The Team

Bucky Buckwalter

User Experience & Visual Designer

Hi! I'm an Innovative Product Design & User Experience Designer with 5+ years of experience in developing intuitive interfaces and conducting quantitative research with a focus in B2B and B2C Markets.

I help companies identify and act on meaningful trends to yield larger profits and am responsible for increasing user engagement by 30%, and improving system usability scores by over 40% through targeted design enhancements and data-driven strategies.