EVIDENCE DISCIPLINE

Every recommendation carries an evidence class.

SIGNAL does not turn operational noise into confident-sounding recommendations. Each finding is traced to its source, assigned an evidence class, and linked to the decision it supports.

The proof system

How a claim earns its place.

VerifiedClient data · interviews · observation
ComparativeBenchmarks · reference cases
EstimatedExplicit assumptions · ranges
HypothesisPatterns, not yet validated
Recommendation Refine the dispatch rule Decision status — act with confidence
Hypothesis: pending validation — held back
Verified

Client data, interviews, observed operating evidence.

Decision: act with confidence
Comparative

Benchmarks, reference cases, comparable patterns.

Decision: compare and calibrate
Estimated

Explicit assumptions, ranges, sensitivity logic.

Decision: model before committing
Hypothesis

Plausible, but not yet validated.

Decision: test before action
One finding, fully packaged

How a finding lands in the board pack.

Finding

31% of repeat visits in Region North trace to one dispatch rule.

Evidence basis

Work-order history · event-level reconstruction · dispatcher interviews

Evidence class

Verified

Decision status

Act with confidence.

Recommended action

Refine dispatch rule and monitor repeat-visit rate for affected work types.

Other findings may be Comparative, Estimated, or Hypothesis — but they are never silently presented as verified.

Figures and findings shown are illustrative examples, not client results.

Operating environments

Built where field service is hardest.

Representative environments from the senior team's field-service transformation work — operating background, not a Cosmicalley client list:

A GLOBAL HVAC OEMA EUROPEAN ENERGY & UTILITIES GROUPA TEMPORARY-POWER MULTINATIONALAN INDUSTRIAL COMPRESSOR MAKERA HOME-APPLIANCE SERVICE NETWORK

Multi-site transformation

Field-service change across networks of service centers, territories and subcontractors.

FSM diagnostics

Salesforce Field Service and comparable stacks — what the system says vs. what the operation does.

Capacity & productivity modelling

Technician days rebuilt from events: wrench time, travel, idle pockets, admin drag.

Rental & lifecycle complexity

Off-hire, repair and asset-lifecycle loops where averages mislead the most.

Dispatch governance

Schedule stability, same-day change analysis, override economics.

Board-level cases

Root causes translated into funded decisions — conservative, base and stretch.

The industry backdrop

Benchmarks are context. Your operation is the proof.

Industry benchmarks show where value often hides. SIGNAL determines which patterns apply to your operation — and how much.

>40%

of a technician's day is typically lost to idle time, driving and repeat visits.

McKinsey, "How disruptive technologies are opening up innovative opportunities in services"
20–30%

reduction in field-service labour cost that optimisation typically unlocks.

McKinsey, same analysis
~1/3

of repeat visits are commonly attributed to missing or wrong parts alone — one fixable cause among many.

Industry practitioner benchmark, directional

Industry benchmarks, illustrative — SIGNAL tells you which apply to your operation, and how much.