Our Approach
Benefits (summary)
- A repeatable decision model that keeps teams aligned.
- Pilot-first execution that limits operational risk.
Follow-on benefits (plausible)
- Better prioritization discipline.
- Stronger institutional memory from documented experiments.
Concepts: Assessment, Playbook, Data Trust, Uncertainty
Related: HypotheSci Philosophy, 90-Minute Lab Assessment
Problem
Labs often jump from pain to implementation without a shared method. That creates disagreement, fragmented fixes, and costly reversals.
Solution
We run a structured cycle: discovery, hypothesis design, bounded experiment, and evidence review. Each cycle produces concrete artifacts that support the next decision.
Benefits
- Teams know why a change is being made before making it.
- Changes are easier to validate and easier to roll back.
- Evidence accumulates instead of disappearing in ad-hoc decisions.
Operating Loop
1) Discovery
Capture symptoms, handoffs, and failure patterns in current-state workflows.
2) Hypothesis
Define one measurable claim per candidate change and agree on pass/fail criteria.
3) Bounded Pilot
Run a narrow implementation with explicit scope limits and telemetry.
4) Evidence Review
Compare baseline to pilot outcomes, document limitations, and decide scale or redesign.
Constraints
This method requires discipline in measurement and documentation. Speed comes from focus, not from skipping validation.
CTA
Implementation Details
Method artifacts include baseline notes, pilot scorecards, and concise decision logs.