The user testing lab that actually ships
Synthetic user testing using AI personas built from real human data. Get validated insights in 2-3 days instead of waiting 3 weeks to 6 months.
From brief to validated findings with 95% confidence intervals. Traditional user research takes 3 weeks to 6 months.
What is synthetic user testing?
We build AI personas from real human voices — interviews, support tickets, G2 reviews, JTBD research. Then we simulate 30-50 user sessions per test.
You get statistical confidence (95% CI) without waiting weeks to recruit real participants.
The tradeoff: You trade real human emotion and serendipitous insights for speed, scale, and statistical rigor. Read our methodology →
HOW WE DELIVER IN 2-3 DAYS
Persona selection, test design (2 hours)
Run 30-50 sessions (automated)
Adversarial review (4 hours)
Comprehensive report
TARGET BUYERS
Product Teams
Currently using: UserTesting, dscout ($40K-100K/yr)
Pain: Slow feedback loops, can't test fast enough
Rak advantage: Test 5 variants in a week
Design/Marketing Agencies
Currently using: Mix of platforms + manual recruitment
Pain: Client timelines too aggressive for traditional research
Rak advantage: Deliver validated insights in days
Startups (Series A-C)
Currently using: Ad-hoc UserTesting, Respondent
Pain: Can't afford agencies, subscriptions expensive
Rak advantage: Per-project pricing, no subscriptions
Enterprise UX/CX Teams
Currently using: UserTesting enterprise, occasional IDEO
Pain: Research velocity can't match product velocity
Rak advantage: Statistical confidence at speed
HOW IT WORKS
Research Personas from Real Voices
We don't make up personas. We extract them from real interviews, support tickets, G2 reviews, and JTBD research. Each persona is validated against actual human language patterns. Full methodology →
Simulate 30-50 Sessions Per Test
Drop personas into your product/landing page/flow. Run 2-3 sessions per persona across 10-20 personas. Record behavior, identify friction, track success rates.
Adversarial Validation
Cross-model review challenges methodology, flags bias, checks statistical validity. 95% confidence intervals before claiming a finding is real.
Ship Report in 2-3 Days
Comprehensive findings: persona-level segmentation, confidence intervals, taxonomy of friction points, specific recommendations. Numbers, not anecdotes.
TRADITIONAL RESEARCH VS. RAK
WHEN TO USE RAK VS. TRADITIONAL
Use Rak For:
- Landing page optimization
- UX pattern validation
- Messaging testing
- A/B/C/D/E variant testing
- Fast iteration cycles
- Persona segmentation
- Statistical confidence (95% CI)
- Known problem spaces
Use Traditional For:
- Discovery research
- Ethnographic studies
- In-context observation
- Emotional stakeholder buy-in
- Co-creation workshops
- Serendipitous insights
- New product categories
- When context is critical
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. Replaced "best practices" with actual evidence.
LANDING PAGELMTY: Homepage Variant Testing
Tested two homepage variants across 10 B2B SaaS personas (40 total runs). Found V2 optimizes for C-level (+34 pts) but alienates PMM ICs (-41 pts). Recommended segmented messaging.
TRANSPARENT PRICING
- 2 variants tested
- 10 personas
- 40 total runs
- 95% confidence intervals
- Persona-level segmentation
- Comprehensive report
- 30 simulation runs
- 7 personas
- Evidence-based pattern library
- Friction taxonomy
- 72%+ consensus validation
- Design recommendations
- Custom personas
- Flexible run counts
- Multi-variant testing
- White-label option
- Ongoing retainer available
- Priority delivery
No subscriptions. No per-seat fees. No participant incentives. Per-project pricing means you only pay for what you need.
Request QuoteFREQUENTLY ASKED QUESTIONS
We use AI personas built from real human data instead of recruiting real participants. This gives us speed (2-3 days vs. weeks), scale (30-50 runs vs. 10-15), and statistical confidence (95% CI). The tradeoff: you lose real human emotion and serendipitous insights.
Every persona is built from real human voices — interviews, support tickets, G2 reviews, JTBD research. We don't invent personas. We extract them from actual data and validate them against real language patterns. Read our full methodology →
Use Rak for validation and optimization (landing pages, UX patterns, messaging). Use traditional research for discovery (ethnography, in-context studies, emotional buy-in). We're faster for known problem spaces, not better for unknown unknowns.
Day 1: Brief + persona selection (2 hours). Days 1-2: Run 30-50 automated simulations. Day 2: Adversarial validation (4 hours). Day 3: Report delivery. No recruitment delays, no scheduling coordination, no video analysis bottleneck.
Persona-level segmentation, 95% confidence intervals, evidence-based taxonomy of friction points, specific recommendations, comparison across variants (if A/B testing). Numbers, not anecdotes.
Yes. Many teams run weekly or monthly tests (landing page iterations, feature validation, messaging experiments). We offer retainer pricing for ongoing work. Contact us for custom arrangements.