01 — Case Overview
Overview &
Background
As organizations increasingly adopt Generative AI tools, measuring their real business impact has become equally important as deploying them. Goodyear rolled out Microsoft Copilot licenses to selected employees across departments to understand how AI could improve productivity, automate repetitive work, and enhance employee efficiency.
However, leadership lacked a centralized platform to answer critical questions such as:
- Are employees actually using Copilot?
- Which departments have the highest adoption?
- How much productivity is being gained and is the investment generating ROI?
- Are there governance or compliance risks?
In-depth Analysis of Screens
Executive Overview
Organization-wide snapshot of adoption and performance: Total Licenses, Active Users, Hours Saved, ROI Multiple. Serves as the executive landing page.
Readiness & Licensing
Tracks Eligible Employees, Assigned/Activated Licenses, and Department-wise Activation Rates to enable smarter license planning.
Impact & ROI
Connects usage directly to business outcomes: Time Saved, Annual Cost Savings, Productivity Index, and ROI Trends.
Governance Insights
Ensures responsible AI adoption via Policy Compliance, Security Incidents, Flagged Prompts, and Risk Monitoring.
02 — Business Impact
Overall Impact
& Outcomes
The dashboard transformed fragmented reporting into a centralized executive decision platform.
"Rather than only measuring software usage, the dashboard focuses on answering one critical business question: 'Is Microsoft's Copilot creating measurable business value for Goodyear?'"
03 — Metrics & ROI
Success Metrics
& ROI Simulator
We tracked key adoption metrics such as License Activation Rate, Daily Active Users, and Hours Saved. Test the logic we built to convert raw hours into executive financial ROI below.
04 — Impact Summary
Business Impact
Summary
- ROI Quantification: Enabled leadership to quantify financial ROI from Copilot investments.
- Cross-Unit Visibility: Improved visibility into AI adoption rates across separate business units.
- Smart Procurement: Supported future license procurement decisions through real usage data.
- Proactive Governance: Strengthened compliance monitoring and predictive risk analytics.
05 — Problem Statement
The Invisible
AI Adoption
"Goodyear invested significantly in Microsoft Copilot licenses but lacked a centralized way to evaluate whether employees were using the platform effectively or whether the investment was delivering measurable value."
Usage metrics, licensing information, employee feedback, productivity gains, and governance data existed across multiple systems without a unified reporting experience. Executives struggled to answer strategic questions regarding adoption and future investment planning.
06 — Objectives & Impact
Platform Objectives
& Business Impact
07 — Strategic Value
Root Causes &
Guided Decisions
Before designing the dashboard, we identified critical systemic root causes of inefficiency and paired them with guided design decisions.
Invisible Adoption
AI adoption lacked central reporting visibility across departmental rollouts.
Unquantified ROI
Business ROI was difficult to measure and prove to executive leadership.
Scattered Tools
Governance compliance monitoring required maintaining multiple security systems.
Unified Analytics Platform
Combine Executive KPIs, Adoption Analytics, and Licensing Intelligence.
Direct Financial Mapping
Convert abstract usage data directly into estimated financial savings and ROI multiples.
Centralized Compliance
Integrate risk monitoring alongside usage to ensure rapid response to policy violations.
08 — Scope & Outcomes
Project Scope
Modules Delivered
Executive Dashboard
Licensing Analytics
Adoption Monitoring
ROI Tracking
Learning Analytics
Governance Dashboard
09 — Target Audience
Audience &
Stakeholders
10 — Research & Discovery
Discovery
Insights Pipeline
11 — Brand Guidelines
Enterprise
Design Standards
The dashboard was designed following Goodyear's Enterprise Design System, prioritizing a desktop-first responsive experience optimized for executive decision-making. We utilized the core brand palette while introducing subtle visual cues for AI context.
12 — Design Process
Systematic
Execution
Discovery
Studied Microsoft Copilot reporting ecosystem. Identified executive decision-making requirements and defined stakeholder-specific KPIs.
Information Architecture
Organized analytics into logical modules: Executive Overview, Readiness & Licensing, Adoption & Usage, Impact & ROI, Sentiment & Learning, Governance.
High-Fidelity Design
Developed production-ready dashboards utilizing reusable KPI components, an enterprise chart library, and a unified filter system.
13 — Outcome
Component Architecture
& Final Outcome
- Built using Goodyear's enterprise UI standards.
- Reusable analytics components and shared KPI card library.
- Persistent left-side filter panel for cross-dashboard consistency.
"The Goodyear Copilot Analytics Dashboard evolved beyond a reporting interface into an Executive AI Intelligence Platform. By consolidating adoption metrics, licensing insights, productivity gains, employee sentiment, governance, and ROI into a single experience, it enabled leadership to make confident, data-driven decisions about Microsoft Copilot adoption."