Microsoft 365 Copilot
Developed prompt workflows and personas that reduced user errors by 35%
Role
AI Product Manager
Timeframe
12 months
Team Size
15 engineers, 4 designers, 3 researchers
Tools & Technologies
Key Impact
Reduced user errors by 35% through improved prompt engineering
Context
Microsoft 365 Copilot needed enhanced prompt engineering capabilities to help users interact more effectively with AI assistants across Office applications.
Problem
Users were struggling with crafting effective prompts, leading to poor AI responses, frustration, and low adoption rates of Copilot features.
Approach
Conducted extensive user research to understand prompt crafting challenges
Developed persona-based prompt templates for different user roles and scenarios
Created intelligent prompt suggestion system using natural language processing
Implemented contextual help and guidance within Office applications
Established feedback loop system to continuously improve prompt effectiveness
Outcome
Achieved 35% reduction in user errors when interacting with Copilot
Increased Copilot feature adoption by 60% across enterprise customers
Improved user satisfaction scores by 45% based on quarterly surveys
Reduced support tickets related to AI interactions by 50%
Next Steps
Expand persona system to include industry-specific templates
Develop advanced prompt optimization using reinforcement learning
Create collaborative prompt sharing platform for enterprise teams