R&D FINANCIAL MODEL

Model the cost of uncertainty.

Understand whether resolving uncertainty earlier creates a measurable financial advantage.

Live model · Calculations run locally

DECISION OUTPUT

What this means

VALUE CREATED

ECONOMIC OUTCOME

EARLY SCREENING CREATES VALUE

€92,500expected capital saved
Savings8.0%of baseline spend
Screening ROI3.7×capital saved / screening spend

Early screening could save approximately €92,500 under your current assumptions.

RECOMMENDATIONEarly screening appears economically attractive at these assumptions.

SCENARIO COMPARISON

Expected spend per pipeline
BASELINE€1.15M
Candidates1,000starting volume
↓
Stage 2€250 / candidatevalidation
↓
Stage 3€1,500 / candidate600 expected candidates
EARLY SCREENING€1.06M
Candidates1,000starting volume
↓
Early screening€25 / candidate260 filtered early
↓
Filtered candidates71030 false positives
↓
Stage 2 → 3€1.03M570 expected reach Stage 3
Expected candidates screened1,000
Filtered early260expected downstream failures
Incorrectly filtered30expected successful candidates
Stage 3 candidates avoided30through false-positive filtering
Baseline spend
€1.15M
Early screening spend
€1.06M

BREAK-EVEN

Where does screening stop making sense?

Current cost€25.00
Maximum viable cost€117.50

Below break-even. At current assumptions, screening remains economically attractive up to €117.50 per candidate.

REPORTING

Take this decision model into your next internal review.
Illustrative economic scenario. Results depend on user-provided assumptions and are not a substitute for experimental or financial due diligence.