PatternLab is built on experience pattern synthesis, not fictional personas. Outputs include confidence ranges, evidence strength, and explicit limitations — so insights are framed as hypotheses, not conclusions.
Teams make decisions
before they understand.
Most product and strategy decisions happen before research begins. Teams rely on opinions, anecdotes, and internal bias — then conduct expensive research too late to change course.
How PatternLab works
Describe your idea, target audience, and known assumptions. Making your thinking explicit is the first act of clarity.
Claude reads your concept and reasons across public user experience narratives to surface relevant patterns.
Probabilistic experience archetypes are constructed, each unique to your concept, with confidence levels and evidence.
Hypotheses, structured questions, and recommended methods, ready to share with your team or take into interviews.
A complete pre-research brief, in under two minutes.
Probabilistic composites specific to your concept, with confidence bars and evidence provenance.
Testable hypotheses with confidence levels, supporting evidence, and validation methods.
Questions organised by objections, confusion points, risk, adoption barriers, and comparison.
Context-specific research methods tailored to your archetypes, not generic best practices.
Every insight includes confidence ranges, data gaps, and assumptions so you know what to verify.
A clean, branded PDF ready to share with stakeholders, researchers, or your broader team.