Run effective research

A first-draft research plan generated on project inputs frees the researcher from formalisation focus on details of study design like hypothesis formulation, methodological choice and fieldwork logistics.

Explore·Velocity·Developing

Provides starting set of questions for researchers during study design.

Explore·Quality·Developing

Reduces the risk of flawed research design by subjecting plans to structured adversarial critique, identifying blind spots and biases before they impact data collection or synthesis.

Explore·Quality·Developing

Runs qualitative interview studies at scales not feasible with traditional human moderation, shortening fieldwork timelines while generating structured, traceable outputs ready for analysis.

Explore·Velocity·Developing

Create personalised stimuli for user research tailored to each participant's role, industry, proficiency level, or market without proportional increases in design or engineering time.

Concept·Quality·Emerging

Transforms static research repositories into queryable knowledge systems that activate relevant findings at the point of decision, reducing redundant research and connecting past insights to current questions.

Improve·Insight·Emerging

Fixed prompt schedules treat every participant identically. Adaptive prompting builds longitudinal data from each participant's actual narrative, following threads the common schedule would have missed.

Explore·Quality·Emerging

AI drafts a test plan from a research brief, suggesting appropriate methods, metrics, and potential issues. The researcher reviews and refines, so their switches from initiation to hardening.

Validate·Velocity·Developing