Focused engagement
RWE / Observational Data Fitness Sprint
We assess whether the data and rules for population, dates and follow-up support a specific question. You receive findings, limitations and recommendations; cohort definition and analysis are specified in scope.
Deliverables
- Data-fitness and feasibility report.
- Target-trial or estimand framing where appropriate.
- Bias, confounding and missing-data risk map.
- Go/no-go recommendation and proposed analysis plan.
When to use it
Best fit
Registry, hospital, healthtech, biotech or research teams deciding whether to fund a full real-world evidence analysis.
Scope
- Translate the question into a target population, exposure, outcome, time zero and estimand.
- Assess data coverage, provenance, missingness and fitness for purpose.
- Identify confounding, selection, measurement and time-related biases.
- Define feasible primary and sensitivity-analysis paths.
Inputs
- Scientific question and intended decision use.
- Data dictionary, provenance notes and representative metadata.
- Cohort construction rules and available quality summaries.
- Relevant protocol, registry or study documentation.
Data handling
Real patient or confidential study data remains within the client, sponsor, CRO or contractually approved environment. The permitted data, access model and retention rules are agreed before work begins.
Do not send patient, clinical or confidential study data.
Boundaries
- Does not turn unsuitable data into causal evidence.
- Does not include a full statistical analysis, data collection or clinical adjudication unless separately scoped.
- Any causal interpretation depends on explicit assumptions and supporting diagnostics.
Discuss this engagement
Confirm fit before sharing materials.
Describe the study situation, intended decision and deadline. We review fit and availability, agree the scope and prepare a proposal. Data access is arranged separately in an approved environment.