The complete build-to-launch blueprint for an explainable, human-confirmed AI clinical-trial patient-matching, screening, site-response, and retention platform — for a small team, not a 200-person clinical operations department.
Every one of these numbers is sourced and dated inside the book — no invented statistics.
of clinical trials fail to meet their original enrollment timeline.
Industry-wide estimate, widely reaffirmed through 2025 trade reportingof investigative sites either under-enroll or enroll zero patients at all.
Tufts CSDD, ~16,000-site analysis, 151 Phase II/III trialsmean direct cost of a single day of Phase III enrollment delay.
Tufts CSDD "Day of Delay" Impact Report, Aug. 2024A patient-matching, screening, and retention platform blueprint that turns dense protocol language into structured eligibility rules, scores candidates transparently, and gives sites a response-time SLA — with a qualified human confirming every clinical decision, every time.
The non-negotiable control-flow threaded through every chapter of the book.
88 pages across 35 chapters — problem validation through a priced 3-year financial model and a 24-month roadmap.
Evaluating a recruitment-tech venture and want a realistic, small-team-scoped build plan — not a big-pharma fantasy.
Who've lived the screen-failure and slow-site-response pain and want to build the tool they wish they had.
Evaluating build-vs-buy on recruitment technology, with a real competitive matrix and partnership models.
| Metric | Baseline (pre-pilot) | Pilot Month 3 |
|---|---|---|
| Patients enrolled / month | 3–4 | 15 |
| Screen-fail rate | 38% | 24% |
| Site response time | 6.2 days | 1.1 days |
| Cost per enrolled patient (all-in) | ~$9,400 | ~$7,100 |
Illustrative pilot pattern from the book's 90-Day Pilot Program chapter — always measured against your own sponsor's historical baseline, never presented as a guaranteed outcome.
Every bonus is a working framework referenced directly inside the book — not a generic download pack.
The exact structured-field format used in the book's worked protocol example.
A weighted, explainable scoring model ready to recalibrate per trial.
The workflow + dashboard structure behind the book's core differentiator.
Six phases, KPIs, and a before/after report format, ready to fill in.
A ready-to-use PRD structure built around the MVP priorities.
Protocol extraction, sales outreach, compliance drafting, and more.
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No. TrialCompass AI is a startup and product-strategy blueprint. It is not medical, legal, or regulatory advice, and every compliance-related chapter explicitly tells you to engage qualified healthcare regulatory counsel before processing real patient data.
No. The book is written for a non-technical founder or product manager, with every clinical and technical term explained in plain language as it's introduced.
No — this is a complete strategic and technical blueprint (architecture, MVP scope, AI pipeline, pricing, go-to-market, financial model) for building the product yourself or with a small team, not pre-built software.
Every major statistic is sourced and dated (FDA, Tufts CSDD, NASEM, CISCRP, and peer-reviewed research), with industry estimates clearly labeled as such wherever a figure isn't independently verifiable.
An instant-download PDF (88 pages) plus all 15 bonus templates and the AI prompt library, delivered immediately after checkout via Selar.
If TrialCompass AI isn't the practical, buildable blueprint you expected, email sales@viralbydesign.co within 7 days of purchase for a full refund. No questions asked.
88 pages, 35 chapters, 15 templates, and a 100+ item AI prompt library — everything you need to validate, build, price, and launch TrialCompass AI.
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