Industries · Life sciences
A sponsor should not be able to tell your regions apart.
Sponsors and CROs issue RFIs and RFPs for nearly every trial, and each arrives in a different format asking the same underlying things: which assays, what validation, what logistics, what data deliverables, what compliance posture. The knowledge to answer exists — in past proposals, project files, and the heads of scientific directors. It is not available at the moment the answer is due.
Built for proposals and business development, scientific operations, and quality.
Respond answering a sponsor RFP — the validation package cited on each answer
Where the sponsor answer actually stalls.
Not for want of science. The work has been validated and the answer written before. It is sitting in a past proposal or in a scientific director's head while the RFP clock runs.
-
01
The proposals floor
Every RFP rebuild starts from old proposals and staff memory. First-pass answers to repeat questions — assay menus, turnaround, kit composition, data integration — consume senior scientific time.
That time should be going to the fraction of each bid that actually differentiates. Instead it goes to answers that already exist somewhere.
Scarce scientist time spent on the questions that recur.
-
02
Scientific knowledge across regions
Assay and study knowledge is deep and scarce. When a tenured project manager or lab director is unavailable, sponsor answers stall.
Specimen stability, kit shelf life, a regional testing difference — three regions give three versions of one answer, and on standardized global testing the sponsor can see the difference.
The variance is visible to the person deciding.
-
03
Quality, compliance and data
Security, regulatory and data-handling questionnaires arrive in a new wrapper from every sponsor and CRO, consuming senior QA time on repeat answers.
Blinded data management, chain of custody, accreditation posture, customs and distribution rules — the required language exists but is not reliably delivered in every response.
For a business whose currency is trial integrity, a stale answer is a study risk.
What Tribble does about it.
One place the approved answer lives, with the source attached and an owner’s name on it — and every response you finish makes the next one cheaper.
- 1
Load it
Your approved sources come in with their permissions and versions intact, so every answer can be traced back from day one.
- 2
Answer from it
Answers are worked out before anyone asks. Each one shows the document it came from, who owns that document and when it was last changed.
- 3
Keep what you learn
Every edit a reviewer makes becomes the approved answer next time. Your experts see the 10–20% that is genuinely new, not all of it. The tenth submission is faster than the first.
Sources in, cited answer out, reviewer edits folded back.
The documents a clinical services provider actually files.
All of them run the same way. Follow any one through to see it.
- Sponsor RFPs and RFIs Study bids, assay and logistics scope, turnaround and data-deliverable commitments. RFP automation →
- Security and data-handling questionnaires Sponsor and CRO security assessments, blinded data management, chain-of-custody evidence. Security questionnaires →
- Qualification and audit packets Accreditation posture, GxP evidence, validation summaries, vendor qualification. DDQ automation →
- Scientific narrative responses Method and validation write-ups where the sponsor wants prose, with a source behind every claim. Longform →
- Sponsor capability questions The standing Q&A behind scope conversations — which services, which regions, at what turnaround. Portal & chat intake →
What we would measure.
Agreed up front, and measured against how the work runs today, so the result is judged on your numbers.
Proof.
The same job, in other industries: hundreds of technical questions, several people who own the answers, one deadline the buyer set.
The first engagement: one workflow, four to six weeks.
Narrow scope is what makes that real rather than aspirational. One team, one workflow, and we measure how it works today before changing anything.
- 1
Connect · week 0
Scope and owners named. Sources ingested from past proposals, assay menus and validation summaries, QA and regulatory language. We measure how the work runs today first.
- 2
Build · weeks 1–2
The answer set assembled from your own records, scoped to the questions that actually recur. Your experts review and approve it.
- 3
Pilot · weeks 3–4
Live with a named team, on real work. Our team works alongside yours, tuning against what reviewers actually change.
- 4
Prove · weeks 5–6
Measured against the baseline, with a clear read on where value landed and a go or no-go on expanding.
What people ask
Some are worth putting to your own team first.
How does this handle questions that genuinely need a scientist?
It routes them. First-pass answers are drawn from approved sources with the citation attached; anything new, sensitive or below the confidence threshold goes to the accountable expert before it ships. The target is that experts see the 10–20% that needs judgement rather than reviewing every answer, which is what makes the review sustainable rather than heroic.
Can it keep answers consistent across regions?
That is the main reason to do it. Every region draws on the same approved source, so the answer does not depend on which office received the question. When a stability figure, an accreditation or a data-handling rule changes, you change it once and it applies on the next response everywhere.
What about blinded and sponsor-sensitive material?
Sources are permissioned on intake, so access follows the permissions you already set rather than becoming a second, looser copy of them. That is also the argument against staff pasting sponsor context into consumer AI tools, which is the confidentiality exposure most quality teams are actually worried about.
How is this different from keeping a proposal library?
A library stores answers. It does not know which are stale, which contradict a current validation package, or which were edited after review last time. Tribble drafts from approved sources with the source, owner and version visible, and folds reviewer edits back in, so the next sponsor's RFP starts ahead rather than from zero.
What do we need before starting?
Past proposals, assay menus and validation summaries, QA and regulatory language, project records — in whatever form they exist. There is no migration. What matters more is naming who signs off on a scientific claim, a data commitment and a compliance statement.
Bring one sponsor RFP.
We will map what already exists across past proposals and project records, run the questionnaire together, and leave you with a first draft your scientists can review.
Book a demo