Causal Inference & Experimentation
Go beyond “what happened”—uncover what actually caused it. We design, execute, and interpret experiments to drive real results for your business.
Get a Free ConsultationWhy Causal Inference & Experimentation?
Data can tell you what changed, but not always why. Our team helps you run controlled experiments or quasi-experimental studies to measure the real impact of new features, campaigns, policies, or changes—giving you evidence, not just opinions.
Make every decision count—with proof it actually works.
Where Does This Deliver Value?
A/B Testing & Feature Launches
Test new website features, products, or policies—see exactly what works, not just what changes.
Example: An e-commerce business runs an A/B test on a new checkout page, increasing conversion rate by 10%—with data to prove it.
Campaign & Policy Impact
Measure the causal effect of your marketing, pricing, or policy changes—no more guessing or “gut feel.”
Example: A nonprofit launches a new outreach program and proves its effect on engagement using a before/after causal analysis.
Quasi-Experimental Insights
No randomization possible? We use advanced statistical techniques (like propensity scoring) to infer cause-and-effect from real-world data.
Example: A health system measures the effect of a new patient portal without a controlled trial, using quasi-experimental analysis.
Ongoing Program Evaluation
Track and improve impact over time with recurring analysis, re-testing, and evidence-based guidance for future actions.
Example: A workforce development agency iteratively refines its programs using regular experimentation and analysis, driving better outcomes every year.
How Our Experimentation Process Works
- Free Discovery Call: Share your business question and intervention. We’ll walk through options, show sample results, and provide honest pricing—no pressure.
- Design & Data Health Check: We assess your data and experiment setup, check for readiness, and recommend the right approach.
- Experiment Design & Execution: We design the methodology (A/B, pre/post, regression, etc.), register the plan, execute, and monitor all steps for integrity and bias.
- Analysis, Validation & Reporting: You get a clear report, executive summary, and practical recommendations for action—plus all code, documentation, and support contacts.
- Optional Ongoing Support: Need re-analysis or more experiments? We offer recurring evaluation and advisory as your needs evolve.
What You Need to Get Started
- Clear business question and intervention (what’s changing or being tested?)
- Relevant data—historical or ability to run a new experiment
- Executive or project sponsor buy-in
- Willingness to sign a mutual NDA (we protect your data and results)
Not sure if experimentation is right for you? Most organizations have untapped opportunities—book a free consult and get clarity in 30 minutes.
Starter Pricing
- Pre-consult & Discovery: Free
- Typical experiment or causal analysis: $3,000 – $7,500
Contact us for a custom quote—every project is tailored to your business question and data landscape.