A feasibility round for a mid-size study usually runs the same way: a questionnaire goes out to fifty or sixty sites by email, often as a PDF. Responses trickle back over the next two or three weeks in whatever format each site prefers some typed directly into the form, some scanned from a version someone printed and filled out by hand, a few phoned in and summarized afterward by whoever took the call. Somebody then has to open each of those responses individually and manually re-key the answers into a master comparison spreadsheet, because a scanned page or a completed PDF can't be filtered or sorted on its own. By the time that spreadsheet is finished, the earliest entries in it are already two or three weeks stale, and the sites that happened to respond fastest usually a function of who checked their inbox that day, not a signal about the site itself end up looking like the most responsive candidates for reasons that have nothing to do with whether they can actually run the trial.
That's what's actually underneath a process everyone describes as "slow." It isn't slow because sponsors ask too few questions or sites take too long to answer. It's slow because the answers, once they exist, still have to be manually converted into something usable before anyone can act on them and that conversion step, repeated across sixty sites, is where the weeks go.
Every protocol has two or three requirements that actually determine whether a site can run it not generic capability questions, the specific ones and getting these wrong costs far more than a slow response ever does.
A cell and gene therapy protocol needs sites with genuinely validated deep-freezer storage at the right temperature range, not a site that answers "yes, we can handle cold storage" and only discovers during site initiation weeks after selection, with contracts already in motion that its existing freezer can't actually hold the required range and a new unit needs to be procured and validated before a single patient can be dosed.
A protocol in a therapeutic area under active regulatory scrutiny needs to know not just whether a site has ever faced an inspection, but specifically how it went and whether any findings are still open, because that history travels with the site into this study whether or not anyone thought to ask. A realistic enrollment forecast needs the site's own honest predicted patient volume, not a number a headquarters team backed into from population statistics the gap between an optimistic top-down estimate and what a site can actually deliver is exactly where an enrollment timeline quietly slips by a quarter, discovered only once it's already too late to add sites.
Ask those questions through a generic template, or worse, on a phone call nobody wrote down, and the answer exists somewhere in a coordinator's notes, in an email thread, in someone's memory of the call but not anywhere that can actually be filtered, compared, or acted on. That's the real failure mode. Not that sponsors ask too few questions. That they ask the right ones and then have no structured way to use what comes back.
Inside Cloudbyz CTMS, the feasibility survey is built to close that specific gap. The questions are yours to write deep-freezer capacity, prior inspection history, predicted patient volume, or whatever else this particular protocol actually depends on and every response comes back into the same system, not into sixty separate inboxes.
From there, the sites aren't a pile of individual responses waiting to be transcribed. They're a filterable dataset, on screen, the moment the answers land. Want only sites that confirmed real cold-chain capability? Filter on that question. Want to see which sites have prior inspection experience, or which predicted enrollment numbers actually clear your threshold? Same filter, same screen, no spreadsheet in between. Shortlisting a site becomes a toggle, not a re-entry into yet another tracker someone has to keep synchronized with reality.
Everything that used to require a side process lives here too. Sites can attach supporting documents certifications, equipment specifications, whatever the protocol calls for directly against their response. The full survey, and every response behind it, exports as a clean PDF or Excel file the moment you need to bring it to a steering committee, instead of someone rebuilding that view by hand. And a site isn't left with an open-ended request: give it a deadline five days, whatever fits the timeline and the system tracks who's answered and who hasn't, without a separate follow-up log.
None of this is really about making a questionnaire faster to send. It's about removing the moment where feasibility data has to leave the system to become useful into an inbox, into a spreadsheet, into someone's shortlist built from memory of which sites "seemed good." The system that ran the survey is the same system that shortlists the sites, holds their documents, and tracks their timeline. Nothing about that process depends on a tracker existing outside it, because nothing about it was ever designed to.
That's the actual standard worth holding feasibility to: not whether the questions get asked, but whether the answers ever have to be handled by hand again after they come in.
See how Cloudbyz CTMS turns your next feasibility round into a shortlist, not a spreadsheet.