Lindsey Mussack

About Lindsey Mussack

You want to use AI to uncover product and service health, but outdated case categories are forcing manual workarounds and unreliable data.It’s time to stop managing around the problem and fix it at the source.I help SaaS companies design and operationalize case categorization that clearly captures product and service health and creates a durable foundation for AI and automation.Because AI doesn’t fix broken data.It it.And case categorization is where clarity either starts or breaks down. I partner with: Support, Customer Support, and CX Directors Product and Engineering leaders Leaders responsible for AI, automation, analytics, or scaleIf case data guides your roadmap and resourcing, let’s build something you can trust. Using my.™ method, we: Remove case categories that fragment real issues Archive product and service categories that create noise Eliminate categories that lead to inconsistent tagging Identify categories for new features and services Reclaim categories that are no longer used and can be renamed :Clean signals. Trustworthy reporting. Shared clarity across teams. Most teams try to fix insight problems with better dashboards, more tools, or new AI layers.I focus on the root cause: how cases are categorized by frontline support, where signal is either captured or lost forever.This isn’t a tooling problem.It’s not a reporting problem.It’s a categorization problem.Fix the structure, and everything downstream improves. I bring deep experience across SaaS product and support operations, paired with program management for automation, machine learning, and CRM workflows, I\'ve helped teams remove friction, modernize work, and turn noisy operational data into clarity leaders can act on.I’ve seen how poor categorization: Masks real product issues Skews prioritization and investment Compromises AI and automation initiatives I offer clearly scoped projects to audit, redesign, and operationalize case categorization, partnering closely with your teams to ensure adoption, consistency, and long-term impact.If your case data feels noisy, fragmented, or unreliable, let’s fix it at the source.Send me a message here on LinkedIn to chat! Email: l••••••••@gmail.com

Experience

1. Robotics Process Automation (Rpa) Analyst

   Hewlett Packard Enterprise

   Apr 2024 — Present · Houston, TX, US

   Managed automation of business rules in Anaplan, saving 300+ hours annually for the global Sales Operations team. • Collaborated with the Sustainability team to streamline utility bill data collection across 8 sites using SQL and structured data input. • Enhanced quote creation workflows in SAP, saving approximately 23 minutes per transaction while ensuring compliance. • Designed and executed comprehensive User Acceptance Testing (UAT), establishing testing strategies adopted by the RPA team.• Promoted within first year in recognition of strong performance and results.

Education

• University of Southern California

  Master of Arts (M.A.), Teaching

• University of Southern California

  B.A.

Skills

• Teaching
• Public Speaking
• Administration
• Social Media
• Community Outreach
• Microsoft Excel
• Powerpoint
• Research
• Human Resources
• Fundraising
• Microsoft Office
• Event Planning
• Event Management
• Curriculum Design
• E-Learning
• Editing
• Nonprofits
• Social Networking
• Leadership
• Linkedin
• Program Development