THE USER
TESTING LAB
THAT ACTUALLY
SHIPS
EVIDENCE OVER OPINIONS. 95% confidence intervals before claiming a finding is real. Numbers over vibes.
WHAT WE DO
SYNTHETIC USER TESTING
Multi-persona simulation at scale. 30-50 runs per test. 95% confidence intervals. Adversarial validation included.
UX TAXONOMY
Evidence-based pattern libraries built from real user voices. Design decisions backed by data, not opinions.
LANDING PAGE OPTIMIZATION
Persona-level conversion analysis. A/B variant testing with segmented messaging recommendations.
PRODUCT RESEARCH (JTBD)
Jobs-to-be-Done interviews at scale. Outcome-driven innovation, validated needs, prioritized features.
RECENT WORK
TINYLAB:
EVIDENCE-BASED
UI PATTERNS
Turned 30 simulated user sessions into a comprehensive UX taxonomy. Result: 3-type system with 72% consensus, zero assumptions.
LANDING PAGELMTY:
HOMEPAGE VARIANT
TESTING
Tested two homepage variants across 10 B2B SaaS personas. Found V2 optimizes for C-level (+34 pts) but alienates PMM ICs (-41 pts).
RESEARCH
Build personas from real voices.
SIMULATE
Drop personas into product.
VALIDATE
Adversarial review. 95% CI.
SHIP
Report results immediately.