Rigorous experimentation
for serious teams
Decision Process helps product, growth, and research teams design, run, and interpret experiments — with causal inference and Bayesian statistics built in from day one.
Custom & at scale
Large-scale experiments, designed for your context
Off-the-shelf A/B testing tools break down at population scale or when your experimental design has specific constraints. We work directly with teams to design and run experiments that match your questions — not the other way around.
Multi-arm & adaptive
Thompson sampling and contextual bandits that reallocate traffic as data accumulates.
Causal identification
DAG-based confounding analysis, instrumental variables, and sensitivity analysis — not just significance tests.
Population-scale rollouts
Designed for org-wide, city-wide, or national deployments with proper variance estimation.
Interested in a custom engagement? Get in touch →
Mission-aligned work
Non-profits, governments & academic institutions
Rigorous causal inference shouldn't be gated by budget. Organizations doing public-interest work get full access to the platform — because the questions that matter most to society deserve the best tools.
- ✓Full Business plan free for qualifying non-profits, NGOs, and universities
- ✓Direct support for policy evaluation and randomized controlled trials
- ✓Collaboration on study design for public health, education, and economic research
- ✓Subsidized access for government agencies running evidence-based programs