Building Great Products

Research before you launch 

• Foundational research (Use Case Taxonomies, user needs analysis)

• Desirability, feasibility, and viability (DVF) assessment for AI features

• Competitive landscape analysis for AI products

• Go-to-market research and discoverability studies

• Voice interface and conversational AI testing (concept testing, beta testing, accessibility)

Making Good Products Great

Optimization after launch

• A/B testing and feature optimization studies

• User experience evaluation and analytics analysis

• Churn research and retention insights

• Satisfaction surveys and feedback collection

Building Research Capabilities

Making Research a competitive advantage

• Establish user research practices that help teams become user-centered without losing their technical edge

• Methodologies for researching AI user experiences at scale

• Create feedback loops between AI research teams and user insights

• Train teams on user research methods and tools

• Build research processes, repositories, and infrastructure that scale