SaaS Design

SaaS Design

Sales Platform

Sales Platform

Led the end-to-end design of a data visualization platform serving Sales and Client Success teams. Replaced fragmented workflows such as Excel sheets, PipeDrive queries, adhoc support requests, etc., with a unified system architecture featuring real-time metrics, client management, and cross-team collaboration tools.

Role: Senior UX Designer

Client: ManageGo, LLC

Location: New York City, New York

Completion: December 2022

Role: Senior UX Designer

Client: ManageGo, LLC

Location: New York City, New York

Key Achievements:

  • Architected a centralized metrics hub consolidating data from 6+ disconnected sources into a single interface

  • Designed a toggle-based data presentation system (percentages vs. raw numbers) to serve divergent team needs without UI bloat


  • Implemented stock-trading inspired data visualization patterns for rapid trend identification

  • Established foundational design system components later adopted company-wide

Skills Used

Accessibility
Adobe Suite
Agentic Engineering
GenAI
HTML/CSS
Information Architecture
Interaction Design
Mixed Reality
Prototyping
User-centered Design
User Research
UX/UI

Design Challenge

Sales and Client Success teams relied on disconnected tools like monthly Excel sheets, on-demand queries to the Support lead, and external platforms such as PipeDrive to track performance metrics. This fragmented process led to inefficiencies, limited visibility into client data, and difficulty prioritizing accounts. The challenge was to design a unified platform that provided essential metrics, user management tools, and note-taking capabilities while balancing diverse team needs.

Solution

  • Developed an “At a Glance” feature, providing a global overview of key metrics with the ability to toggle between percentages (for Sales) and raw numbers (for Client Success)


  • Centralized key performance data such as payments, units, sign-ups, and client-specific users into one intuitive interface


  • Included customizable notes for Sales to track client interactions and a detailed user directory for Client Success to facilitate direct communication


  • Adopted a data presentation style inspired by stock trading interfaces, enabling users to easily identify trends and fluctuations.
    Refined the platform to align with a larger ecosystem, replacing sidebar navigation with a more cohesive integration

Technical Approach

  • Conducted interviews with Sales and Client Success teams to identify critical needs and pain points, then translated insights into actionable personas and user flows


  • Iteratively designed and tested wireframes, incorporating team feedback to address divergent needs (e.g., percentages vs. numbers)


  • Built a flexible data visualization system to ensure clarity without overwhelming users

  • Introduced features like real-time data refresh intervals and streamlined navigation for an optimized user experience

Outcome

This project streamlined workflows for both the Sales and Client Success teams, consolidating fragmented tools into a unified platform. The “At a Glance” hub provided a centralized view of metrics, allowing Sales to track performance through percentages and Client Success to focus on raw data. By simplifying data visualization and integrating features like client-specific notes and a user directory, the platform enhanced decision-making and efficiency. As one of my earlier projects as a team lead, I honed my ability to prioritize “need-to-have” features over “nice-to-haves” while ensuring the interface remained intuitive and free of bloat. Given the opportunity to revisit this project, I would focus on enhancing internal user identification by incorporating profile photos or color-coding to make collaboration even clearer.


Impact

With the launch of the platform, both the Sales and Client Success teams were able to rapidly search and engage with clients giving them an edge in their performances. Additionally, it freed up the Customer Service team to assist more customers and less time fetching data.

© CSBowden 2026

© CSBowden 2026