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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.

Generative Ai usability

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.

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Deep Qualitative Insights on User-AI Interaction

Core AI Experience Testing Areas:

2

Conversational & Language AI

  • Identify Most Impactful
  • Journeys Conduct Journey Diagnostic
  • Build lean versions of CJMs
  • Conduct co-creation CJMs with customers
3

Agentic & Autonomous AI

  • Root-cause analysis
  • Build future CJM
  • Create detailed action plans
  • 30-minute sessions
4

Predictive & Analytical AI

  • Track outcomes
  • Iterate Future Journey Maps
  • Sustain-at-scale
5

Responsible AI & Governance

  • Track outcomes
  • Iterate Future Journey Maps
  • Sustain-at-scale

Key Business Questions We Answer

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

  • Concept Viability: Does the AI solution meet genuine user needs and deliver a clear value proposition?
  • Trust & Ethics: How do we proactively address user concerns related to privacy, bias, and transparency in AI interactions?
  • Strategic Advantage: How do our AI features perform against the competitive landscape, and where are the unique opportunities for differentiation?

Research Methodologies Employed:

KLI utilizes a comprehensive suite of research methods tailored to the nuances of AI testing:

Qualitative Research:

  • In-Depth Interviews (IDIs): Both in-person and remote IDIs with key stakeholders, decision-makers, and end-users across B2C and B2B audiences to develop conversational AI products
  • User Interview-Based Research: Deep dives into user behaviors and perceptions related to AI.

Quantitative Research:

  • Surveys: To gather broad insights and validate hypotheses at scale.

Longitudinal Studies:

  • Diary Studies: To understand user interactions and evolving perceptions of AI over time.Approach to AI Testing Methodology:

Our User-Centered AI Testing Focus

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.

Discover Why Global Brands Choose Us for Expert Insights
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