Fit-for-Purpose RWE Study Design
An interactive, guided workspace that turns the SPIFD2 framework into a working study-design canvas, for pharmacoepidemiology and real-world evidence teams.
Which design and data source give us a credible, feasible study that will hold up to review?
Is the design fit for the question, with confounding identified and addressed?
Does this evidence answer our decision question, in data fit for our population?
What target trial do we emulate, and how do we document design and validity end to end?
In Brief
SPIFD2, the Structured Process to Identify Fit-for-Purpose Study Design and Data, is a framework for planning real-world evidence studies. This workspace makes it interactive, and keeps everything on your machine.
The framework, made interactive
The static SPIFD2 templates become a guided, left-to-right canvas. Each design element is carried across the steps, so the reasoning from question to data choice stays visible and traceable in one place.
The workflow, end to end
Carry a research question through a hypothetical target trial, explicit confounder control, a best-case emulation under routine care, and a scored, fit-for-purpose data-source assessment, ending at a STaRT-RWE ready specification.
Local by design
A single self-contained file. No server, no install, no account. Everything you enter stays in your own browser, and you can save, reopen, and print a branded report.
AI that coaches, if you ask
An optional assistant that leads with guiding questions rather than generated answers, so you sharpen your own words instead of pasting in a machine's. It is ready to use with nothing to set up, and shows exactly what it will send before anything leaves the page.
Independent, built on published work
An independent implementation, not authored or endorsed by the framework authors. Primary reference: Gatto et al. (2023), CPT 113(6):1235–1239.