Blog Post
Site Feasibility: Announcing Limited Availability and Smarter Site Selection
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Mike Wong
Senior Product Manager - eBinders, Site Experience, and Study Organizer
Honest question: how many hours does your team spend answering the same feasibility questions—study after study, sponsor after sponsor, format after format?
For most research sites, the answer is uncomfortable. And for sponsors collecting responses across dozens or hundreds of sites? The math isn’t much better.
The feasibility process hasn’t fundamentally changed in decades. Sites receive questionnaires by email, PDF, portal, or spreadsheet. Teams gather information across staff, track down answers, validate accuracy, and manually complete each one. Then do it again for the next study.
Sponsors, meanwhile, collect fragmented responses, normalize inconsistent data, and manually analyze results to find the best-fit sites. The back-and-forth is constant. The delays are predictable. The wasted effort is significant—especially when sites invest real time completing questionnaires for studies they ultimately won’t qualify for.
Both sides carry the burden. Neither side wins.
What we built
Site Feasibility gives sites a smarter starting point.
Sites build a centralized knowledge library from their historical feasibility data, capturing how they’ve answered questions across studies and sponsors over time. When new questionnaires arrive, AI surfaces recommended answers drawn from this library. Teams aren’t starting from scratch. They’re building on what they already know.
Add a robust site profile; capabilities, staff information, and operational details and responses can be pre-populated before anyone opens the questionnaire. Less cross-team coordination. Fewer verification loops. More confidence in what gets submitted.
For sponsors, this means more complete, standardized responses and faster, more confident site selection.
Where we’re headed
But completing questionnaires faster isn’t the real goal. It’s making the questionnaire itself unnecessary.
As sites build richer, more comprehensive profiles, sponsors can identify best-fit sites before a questionnaire is ever sent. Sites stop spending time on studies that aren’t a strong match. Sponsors focus on high-potential sites earlier in the process.
Where site-sponsor data sharing makes sense, sponsors can assess fit from real, structured data; no traditional questionnaire required.
And when questionnaires are still part of the process, they get smarter. Sponsors define what an ideal response looks like. Sites receive an instant fit score—so they can evaluate an opportunity before investing hours in a full response.
The result:
- Sponsors qualify sites faster, with greater precision
- Sites prioritize the right opportunities earlier
- Both sides reduce wasted effort
The infrastructure feasibility has been missing
Florence is building the operational layer that connects sites and sponsors; not just for document management, but for how they find each other, assess fit, and decide to work together. Every questionnaire a site completes, every profile they build, becomes persistent intelligence that makes the next study faster.
Site Feasibility is now in Limited availability. Schedule a demo below to get started.