Expertise in AI Experience Testing

Confidently develop and deploy impactful AI experiences with Key Lime Interactive (KLI).

Key Lime Interactive (KLI) specializes in testing AI experiences to ensure they are user-friendly, effective, and align with business objectives. Our extensive work in the AI space, particularly with leading technology companies, positions us as a trusted partner for validating and optimizing AI-driven products and features.

For nearly two decades, KLI has specialized in validating and optimizing AI-driven products for user-friendliness, effectiveness, and business alignment. Our expertise is deep—over 50% of our recent research studies focus exclusively on comprehending human interaction with AI, positioning us as the trusted partner for leading technology companies.

Core AI Experience Research Areas

Researching how people experience, trust, and collaborate with AI.

AI Product Discovery

Identifying opportunities for automation and efficiency by mapping user and internal workflows to streamline real-world experiences.

Generative AI & Content Experiences

Evaluating the end-to-end user journey — from prompt design to perception, usability, and impact of synthetic media.

Conversational & Language AI

Benchmarking conversational agents and language tools for naturalness, clarity, and task effectiveness.

Agentic & Autonomous AI

Exploring trust, control, and collaboration as AI systems move toward autonomous partnership.

Predictive & Analytical AI

Understanding the factors that drive user trust, confidence, and adoption of AI-driven insights and recommendations.

Responsible AI & Governance

Researching fairness, bias, and explainability (XAI) to support ethical, transparent, and trustworthy AI systems.

Key Business Questions We Answer

Our research methodologies are designed to provide clarity on your most critical AI strategic questions:

Concept Viability: Does the AI solution meet genuine user needs, and does it deliver a clear, measurable value proposition for your organization?
Trust & Ethics: How can your business proactively address user concerns related to privacy, bias, and transparency to build trust in your AI interactions?
Strategic Advantage: How do your proposed AI features perform against the competitive landscape, and where are the unique market opportunities for true product differentiation?

Centering the User in AI Research

Solving Real Problems

Identify and validate how AI can effectively solve real-world user problems and enhance existing experiences.

Validating AI Performance

Rigorously assess whether AI features meet intended goals and perform reliably from a user's perspective.

Mitigating Risk & Pinpointing Value

Proactively identify potential user concerns (including ethical and privacy issues) while simultaneously pinpointing areas for significant value add.

Strategic Benchmarking

Analyze competitor AI offerings to inform strategic product development and establish market advantage.

Research Methodologies

KLI utilizes a comprehensive, tailored suite of research methods to address the nuances of AI testing and strategy:

Qualitative Research:

Quantitative Research:

Longitudinal Studies: