The Problem We Solve
Our methodology was born from auditing dozens of SaaS applications and discovering the same patterns over and over:
- Pricing pages that don't match checkout — customers see $29/mo on the pricing page but $39/mo at checkout
- Legal docs that haven't been updated in years — "Last updated: January 2023" doesn't inspire confidence
- "Coming Soon" features sold at premium prices — your $349/mo Enterprise tier has 4 features marked "Soon"
- Security basics that slipped through — password change without current password verification
- Copy drift across pages — homepage says "AI-powered" but about page says "machine learning"
"Traditional QA asks 'does it work?' We ask 'does it build trust?' Because in SaaS, the bugs that kill you aren't the ones that crash — they're the ones that make customers quietly leave."
Our Approach
We built a 6-phase methodology that systematically catches these issues:
- Discovery — Map the site, identify features, document pricing
- Copy & Consistency — Compare messaging across pages, check terminology
- Functional QA — Test auth flows, billing, core features
- Security Review — Check critical security basics
- UX Review — Find friction points, empty states, mobile issues
- Report — Professional deliverable with severity ratings
Model Agnostic
Our methodology works with any capable AI model. We recommend Claude Sonnet or Opus for best results — they catch subtle business issues that weaker models miss. But the templates and process work with GPT-4, Gemini, or any model that can follow structured instructions.
Get In Touch
Questions? Feedback? We'd love to hear from you.
Email us at support@getlaunchlabs.com