Rivac LabsStatistician
Most in-house "data analysis" quietly skips the parts that make conclusions defensible — proper sampling, a pre-registered hypothesis, controls for confounding — and it shows the moment someone challenges the result. This service brings real statistical method to your specific dataset or planned experiment: hypothesis testing, causal-inference design, power calculations, and sampling strategy, not a dashboard full of correlations dressed up as findings. You'd bring us in when a decision hinges on a result that needs to hold up under scrutiny — a pricing test, a claim in a board report, a finding you plan to publish — or when designing an experiment and wanting it built correctly before spending the budget to run it. The output is either a properly designed study or a rigorous analysis of data you already have, with assumptions, limitations, and confidence levels stated plainly rather than glossed over. It's the difference between a number you can defend in a room full of skeptics and one that falls apart under the first hard question.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose the actual question being asked, the data or experiment available to answer it, and where the current approach risks a false conclusion.
- 2
Pilot the analysis or experiment design on a smaller sample or a single hypothesis to confirm the method holds before committing full resources.
- 3
Review the results together in plain language — what's statistically solid, what's suggestive, and what isn't supportable — before it goes into any report or decision.
- 4
Deliver the full analysis or experiment design with documented methodology so the result can withstand outside scrutiny.
What You Get
Deliverables from this engagement
- A written statistical analysis or experiment design with methodology, assumptions, and confidence levels stated explicitly
- A sampling or power-calculation plan for any planned experiment
- Reproducible analysis code or a documented calculation trail
- A plain-language summary translating the statistics into what they mean for the decision at hand
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Statistician