Technology and methodology
Human engineering. Applied science. Technology for better decisions.
Operational data, transparent criteria and human oversight.
GILBRETH X combines sleep science, human factors engineering and data analysis to support organisations that must balance staffing, resources and team recovery. Our methodology makes it possible to examine scheduling characteristics, assess their structure and compare feasible alternatives.
Embedding human capability in decisions is an engineering challenge, not merely an exercise in allocating shifts.
A structured process: from data to decisions
Methodology components
Exposure engine — exposure analysis engine
Organises scheduling data and quantifies observable temporal characteristics relevant to organisational fatigue exposure. It does not directly measure sleep obtained or determine individual fatigue.
P1 Structural benchmark — structural assessment
Assesses shift configurations against explicit criteria linked to operational requirements and relevant working and resting conditions. The indicators and thresholds used must be contextualised and documented.
Scenario engineering and comparison
Starting from a reference schedule, this component makes it possible to develop and evaluate different alternatives, considering staffing, skills, resources and temporal characteristics of work. Proposals require human approval before implementation.
What does scenario comparison mean in practice?
The same staffing need can be met through different schedule configurations. A comparison uses consistent criteria to examine the effects of alternatives on shift patterns and structural recovery opportunities. The following table is illustrative only: it does not represent client results or demonstrate the superiority of any schedule without contextual analysis.
| Assessment criterion | Reference schedule (fictional) | Illustrative alternative |
| Staffing and skills | Mandatory requirements specified | The same mandatory requirements |
| Night-shift distribution | Greater concentration in certain periods | Different distribution to be assessed |
| Intervals between shifts | Some shorter intervals | Intervals rearranged where feasible |
| Technical conclusion | Indicators characterised | Benefits and trade-offs to be verified |
The feasibility of each proposal depends on staffing, workforce size, skills, applicable rules and changes arising during actual operations. Presenting scenarios does not constitute a validated prediction of fatigue or incidents.
What we already deliver — and what remains in development
Available specialised service
Identification of operational constraints, processing of supplied schedules, calculation and interpretation of structural indicators, development and comparison of alternatives, and presentation of recommendations. These activities are carried out within GILBRETH X projects using supporting technical tools and specialist oversight.
Digital integration in development
The technology objective is to gradually bring data imports, analysis, assisted scenario generation and results visualisation together in a dedicated interface. The scope, degree of automation and timelines for these features depend on development and testing. The platform is not presented as standalone software currently available.
Beyond schedules: individual information, where justified
Schedule structure does not explain every individual difference in recovery. The methodology roadmap includes additional modules subject to specific requirements.
BBA™ — BioPerformanceLab Baseline Assessment
A baseline assessment instrument already used in a pilot setting to collect information about sleep, recovery and other relevant conditions. Operational use and psychometric validation are distinct matters; digital integration requires specific assessment and governance.
BOVI™ — Bio-Operational Vulnerability Index
A proprietary component designed to combine baseline information and operational exposure. The validity of any vulnerability index and its predictive use remain contingent on empirical validation.
Neither BBA™ nor BOVI™ is required to begin structural schedule analysis or redesign.
What the data can tell us
We distinguish directly calculated characteristics, interpretations supported by scientific literature, and hypotheses or weightings that still require validation. Schedule data alone cannot determine an individual’s circadian phase, actual sleep obtained or a validated probability of human error.
Privacy and responsibility
Where possible, analysis begins with only the operational information strictly necessary. Collecting individual data requires a defined purpose, assessment of legal grounds, appropriate protection and governance. Technology supports decisions; it does not replace management expertise or responsibility.
Technology for designing work, not just counting hours
Discover how this methodology applies to your organisation’s challenges.
