Pilot-to-Scale
Run pilots to make a decision — not to create permanent proof-of-concept limbo.
A DataLgorithmics pilot can define the hypothesis, scope, owner, dates, budget, evidence metrics, success criteria and exit criteria before work begins.
Hypothesis
What must be proven or disproven?
Baseline
What is the starting condition?
Target
What measurable outcome justifies scale?
Risk
What could invalidate the result or make production unsafe?
Exit criteria
When should the pilot stop rather than expand?
Conversion
What evidence is required before production rollout?