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This sample illustrates how I use a 9-box grid framework to support structured performance and potential discussions.
The model is designed to help leaders evaluate performance consistently, identify development opportunities, and inform succession and talent planning decisions.
I use frameworks like this to guide calibration conversations, reduce subjectivity, and ensure performance management processes are fair, clear, and actionable.
Love how clearly this visual communicates performance vs potential. Frameworks like this work really well in Excel dashboards too.
Thanks! I've found Excel to be especially effective for calibration conversations too - simple, flexible, and easy for leaders to engage with.
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I designed a modern SaaS project management dashboard focused on clarity, productivity, and team collaboration.
The goal was to create a clean interface where users can quickly monitor projects, track performance, and manage tasks without unnecessary complexity.
The dashboard includes key productivity components such as:
• Project statistics overview
• Weekly performance analytics
• Focus timer for deep work sessions
• Upcoming meeting reminders
• Project completion tracking
• Recent projects list
The UI uses a minimal layout, soft shadows, and a gradient color system to keep the interface visually engaging while maintaining usability.
The design prioritizes clear hierarchy, readable data visualization, and efficient workspace management making it suitable for modern SaaS platforms and productivity tools.
Tools used: Figma
Most spreadsheet problems are not Excel problems.
They’re structure problems.
I often see spreadsheets where:
• formulas reference half the sheet
• headers change across tabs
• logic is embedded inside long nested formulas
• no one knows where the numbers actually come from
The result?
Small updates quietly break the entire model.
A simple structure solves most of this:
Raw Data → Processing → Output → Documentation
Raw data stays untouched.
Processing handles the logic.
Output shows only what decision-makers need.
Documentation explains how metrics are calculated.
Clean structure reduces fragility and makes updates predictable.
Good spreadsheets aren't just about formulas.
They’re about clear data flow and transparent logic.
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