02 / LAB NOTEBOOK
2026.03.07
INTRO

The user testing lab that actually ships

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

← Research = precision instrument. Not opinions, not vibes. Data.
RESEARCH + KNOWLEDGE / STATISTICAL RIGOR
DATA

CURRENT STATUS

100+
SIMULATION RUNS
95%
CONFIDENCE INT.
24
PERSONAS
3
PRODUCTS
SERVICES

CAPABILITIES

01

Synthetic User Testing

Multi-persona simulation at scale. 30-50 runs per test. 95% confidence intervals. Adversarial validation included.

02

UX Taxonomy

Evidence-based pattern libraries built from real user voices. Design decisions backed by data, not opinions.

03

Landing Page Optimization

Persona-level conversion analysis. A/B variant testing with segmented messaging recommendations.

04

Product Research (JTBD)

Jobs-to-be-Done interviews at scale. Outcome-driven innovation, validated needs, prioritized features.

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.

n=30 personas=7 consensus=72% 2026.03
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).

n=40 personas=10 variants=2 2026.03
METHOD

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.

RESEARCHER Rak
DATE 2026.03.07