Solvix International provides construction disruption analysis services for employers, contractors, subcontractors, project managers, commercial teams, and legal advisers who need a defensible view of whether project events reduced labour productivity, changed planned working methods, or generated inefficiency. The focus is on loss of productivity, diluted labour effectiveness, fragmented workflow, and cumulative impact, whether or not completion was delayed.
Assess direct and cumulative disruption arising from resequencing, late design information, access restrictions, trade stacking, out-of-sequence working, acceleration pressure, and fragmented work fronts.
Review production data, manpower records, earned hours, daily reports, instructions, and other project records to test whether productivity deterioration is measurable and causally linked to specific events or a sustained pattern of disruption.
Present clear disruption findings for claim preparation, claim defence, negotiation, ADR, or expert-led review, alongside delay and quantum assessments where required.
Our approach begins by understanding the alleged disruption mechanism and testing whether the available records can support a reliable productivity opinion. We then compare impacted and unimpacted performance where possible, assess causation, and quantify loss using a method that fits the evidentiary record. The objective is to establish whether identifiable events caused measurable inefficiency and how that inefficiency should be understood commercially and contractually.
From event scoping and productivity baselining to causation testing, quantification, and claim integration.
Disruption analysis looks at the effect of events on productivity and working method rather than on completion dates. It establishes whether work was carried out less efficiently than planned, what caused that loss, and how it can be measured from the records.
Identify how the events relied on are said to have affected productivity, sequence, or working conditions.
Assess the reliability and consistency of labour, output, and progress data available for analysis.
Link disrupting events to measured productivity loss and convert that loss into hours or cost.
Disruption claims are often difficult to prove because productivity effects are cumulative and the records were not kept with a claim in mind. We assess what the records can support and select a method that fits them.
Analysis of productivity loss where multiple trades worked in the same area at the same time.
Assessment of the effect of changed work order on output and supervision.
Review of stop-start working and rework caused by incomplete or revised information.
Analysis of productivity where planned work areas were not available as intended.
Assessment of the combined effect of multiple variations on labour efficiency.
Review of productivity loss associated with extended hours, additional shifts, or crew increases.
Disruption analysis can be used to prepare an affirmative productivity loss claim, to test or defend against an incoming disruption allegation, or to provide an independent expert-style opinion before a dispute forum is engaged. The best method depends on the strength of production records, the type of work, the stability of the working conditions, and whether the question concerns a specific event, a cumulative pattern of interference, or both.
Structured disruption analysis to help articulate causation, identify measurable productivity loss, and organise the record set before a formal claim or negotiation package is submitted.
Focused review of the opposing disruption narrative, including record reliability, comparability testing, alternative causes, and whether the claimed productivity loss is actually supported by the evidence.
Clear reports, demonstrative exhibits, and technically robust opinions suitable for mediation, adjudication, arbitration, litigation, or independent expert review where productivity evidence is contested.
Delay analysis focuses on the effect of events on time, completion, milestones, and the critical path. Disruption analysis focuses on the effect of events on productivity, efficiency, and the cost of performing the work, even where the project completion date was not moved by the same issue.
A measured mile approach is useful when there is sufficiently reliable data to compare an impacted period or area with an unimpacted or less-impacted benchmark performing substantially similar work. Its strength depends on record quality and the comparability of conditions between the periods being assessed.
Yes, provided there is still a credible evidentiary foundation. In some cases, the analysis may rely on triangulation across labour, quantity, schedule, diary, and commercial records rather than one perfect data source. Part of our role is to assess what can be concluded reliably and where record limitations should be made clear.
Yes. Disruption findings are often most effective when integrated with contractual entitlement review, quantum analysis, delay analysis, and claims strategy. We can support one workstream in isolation or help align the disruption opinion with the wider commercial and dispute position.
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