Signal 01
A facility or service is capacity constrained
Teams compete for suites, specialist equipment, scientists or quality bandwidth without one economic decision rule.
Scarce-Capability Allocation · CROs · CDMOs · Life-science services
Capacity-to-Cash Conversion™
Decide which CRO or CDMO opportunities deserve scarce scientific and delivery capacity using expected contribution and cash realisation, not headline pipeline.
Discuss this decision →The commercial constraint
A large pipeline can still allocate capacity badly.
Headline contract value hides the probability of award, activation, technical fit, delivery risk, contribution and payment timing. One prestigious programme can crowd out a portfolio of faster, safer work. Capacity-to-Cash Conversion™ makes opportunity cost visible before scarce capability is reserved.
Signal 02
Bookings are strong but cash is weak
Awards arrive, yet delayed starts, milestones, cancellation terms or poor activation evidence slow cash realisation.
Signal 03
One large deal dominates the forecast
Management cannot see what smaller or better-qualified work must be displaced to accommodate it.
The Mandrixa method
Allocate the scarce unit, not the headline value.
The unit of analysis is a defined scarce capability attached to an opportunity. Mandrixa combines award probability, activation evidence, delivery factor, contribution margin and capacity consumption, then tests technical and quality fit as gates. Cash velocity and opportunity cost sit beside expected contribution.
Unit: scarce capacity per opportunity
Decision: reserve, condition or reject capacity, with protection for cancellation, expiry and delayed activation.
Evidence required
- Opportunity value, stage, timing, technical fit and activation dependencies
- A capacity calendar with the scarce unit clearly defined
- Direct costs, contribution, payment milestones, cancellation and reservation terms
- Historical conversion, start-delay and delivery evidence
- Technical, operations, quality, finance and commercial judgment
Decision outputs
What the work changes
Capacity map
A practical view of the genuinely scarce unit, timing conflicts and decision dependencies.
Allocation table
Every opportunity scored with evidence confidence, technical and quality gates, and a recommended action.
Contribution-density and cash-velocity frontier
A comparison that exposes high-value but slow or capacity-hungry work.
Reservation rules
Commercial conditions for holding capacity, including deposits, expiry, cancellation and reallocation triggers.
Evidence standard
No certainty theatre.
Every conclusion is labelled by evidence strength. Verified facts are separated from corroborated patterns, modelled assumptions and unknowns. The framework is a Mandrixa decision method, not a claimed industry benchmark or guaranteed predictor.
Verified in source data.
Corroborated across sources.
Modelled assumption.
Unknown and decision-relevant.
Questions
Capacity-to-Cash Conversion™ FAQ
Is this a CRM forecast clean-up?
No. CRM stage is only one input. The method tests activation, technical fit, contribution, cash timing and the opportunity cost of scarce capacity.
Can it support a facility investment decision?
It can improve the commercial allocation evidence, but engineering, validation and capital decisions require their own specialist analysis.
Does the model guarantee utilisation or cash?
No. It makes assumptions and uncertainty explicit so capacity decisions are better governed; it cannot guarantee customer action or delivery outcomes.