09
INTRODUCTION

The user testing lab that actually ships

Evidence over opinions. 95% confidence intervals before claiming a finding is real. Numbers over vibes.

FINDINGS
VALIDATED
INSIGHTS
DATA
METHOD
CURRENT DATA
100+
SIMULATION RUNS
95%
CONFIDENCE INT.
24
PERSONAS
3
PRODUCTS
SERVICES

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.

VALIDATED WORK

RECENT STUDIES

UX TAXONOMY

Tinylab: Evidence-Based UI Patterns

Turned 30 simulated user sessions into a comprehensive UX taxonomy. Result: 3-type system with 72% consensus, zero assumptions.

RUNS
30
PERSONAS
7
CONSENSUS
72%
DATE
MAR 2026
 LANDING PAGE

LMTY: 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).

RUNS
40
PERSONAS
10
VARIANTS
2
DATE
MAR 2026
METHODOLOGY

OUR PROCESS

Drop people into a situation and see what they naturally do. Never lead them. 95% CI before claiming a finding is real.

1

RESEARCH

Build personas from real human voices. No assumptions.

2

SIMULATE

Drop personas into your product. 30-50 runs per test.

3

VALIDATE

Adversarial review. 95% CI before claiming findings.

4

SHIP

Report results immediately. Numbers, not vibes.