kaairo.ai

The science behind Kaairo

The problem with most AI assessments?

They don't measure how you actually think.

Most AI assessments still focus on trivia, multiple-choice questions, or vague traits. Kaairo looks at your real problem–solving process with AI instead – how you frame, explore, and land on workable solutions. For teams betting on AI, that means a clearer signal about who can actually think with these tools, not just talk about them.

Rooted in Creative Problem SolvingInformed by creativity assessmentGuided by human–AI interaction research

Teams have thinking patterns

When teams see their collective pattern, they can balance strengths, plug gaps, and design better AI workflows together.

Product

Strong framing
Framing
Creativity
Clarity
Feasibility

Typical Kaairo profile: Framing & Feasibility.

Marketing

Idea-heavy
Framing
Creativity
Clarity
Feasibility

Typical Kaairo profile: Creativity & Articulation.

Ops

Action-first
Framing
Creativity
Clarity
Feasibility

Typical Kaairo profile: Feasibility-led.

Strategy

Big picture
Framing
Creativity
Clarity
Feasibility

Typical Kaairo profile: Framing & Creativity.

Kaairo helps teams see these patterns and design collaboration that plays to the full mix of thinking styles.

Grounded in the science of good thinking

Kaairo draws on well-established work in creative problem solving, creativity assessment, and human–AI interaction, and adapts it for AI-native tasks.

Creative Problem Solving (CPS)

A process model that balances divergent thinking (opening up options) and convergent thinking (selecting and strengthening them).

Creative Product Semantic Scale (CPSS)

A way experts judge ideas on dimensions like novelty, resolution, and elaboration.

Human–AI interaction guidelines

Research on how AI systems should set expectations, explain themselves, and adapt cautiously over time.

From prompts to scores: the assessment pipeline

Step 01

Capture your trace

Kaairo records the sequence of prompts and AI responses, not just a final answer.

Step 02

Score behaviours

CPS/CPSS-style rubrics look at framing, creativity, clarity, and feasibility in your strategy.

Step 03

Align AI and humans

AI scoring is benchmarked against human ratings to keep rankings sensible and avoid relying on the model alone.

Step 04

Summarise into scores

Scores are normalised into your Thinking Score, percentiles, and a four-letter pattern across the four skills.

References & further reading

  • Creative Education Foundation (2015). Igniting Creative Potential: The Creative Problem Solving Guidebook.
  • Isaksen, S. G., Dorval, K. B., & Treffinger, D. J. (2011). Creative Approaches to Problem Solving: A Framework for Innovation and Change.
  • Besemer, S. P., & O'Quin, K. (1999). Creative Product Semantic Scale. In The Creativity Research Handbook.
  • Amershi, S., et al. (2019). Guidelines for Human–AI Interaction. CHI Conference on Human Factors in Computing Systems.