Guides, templates, webinars, and tools to help you design better experiments and ship winning variants faster.
Everything you need to know to run statistically valid tests — from hypothesis writing to result analysis and scaling winners.
12 ready-to-use templates covering hypothesis formulation, test setup, sample size calculation, and results documentation.
Step-by-step screen recording showing how to create, launch, and monitor an A/B test from scratch using Desig.
Industry benchmark data from 500+ companies on test velocity, win rates, and revenue impact of design optimization programs.
42-point checklist covering tracking, segment exclusions, flicker prevention, and statistical power before you go live.
Non-technical guide to p-values, confidence intervals, and how to know when your test results are trustworthy.
Interactive spreadsheet to calculate required traffic for any test based on MDE, baseline conversion, and desired power.
Polished slide template to communicate test results to stakeholders — data visualization, insights, and next steps built in.
Tactical guide for teams that want to increase test throughput from 2 to 20+ tests per month without sacrificing quality.
Deep-dive walkthrough on how to create audience segments for MVT and analyze cross-segment interaction effects.
Comprehensive audit framework covering UX, copy, mobile experience, checkout flow, and trust signals across your entire funnel.
A practical comparison of both statistical approaches, when to use each, and how Desig supports both frameworks.
How to get buy-in from leadership, structure your CRO team, and scale from one-off tests to a continuous optimization engine.
Analysis of 200+ checkout A/B tests — design patterns with the highest average lift and how to implement them.
Live demo of Desig's AI hypothesis engine — how it analyzes heatmaps, session data, and benchmark patterns to suggest what to test next.
Start here if you're new to design testing and A/B experimentation.
Deepen your skills with multivariate testing and segment analysis.
Build and scale a world-class experimentation program.