The Information Phase of the Value Methodology (VM) Job Plan involves gathering and transforming data to understand the subject of the study, as taught in the VMF 1 course (Core Competency #3: Value Methodology Job Plan). According to SAVE International’s Value Methodology Standard, “key data for a product value study typically includes design objectives, cost estimates, drawings, specifications, and resource models, which are transformed to define functions, costs, and constraints.” These data types are essential for a product-focused study (as opposed to a process or construction project), enabling the VM team to:

Understand the product’s purpose (design objectives).

Analyze costs (original cost estimate, before optimization).

Review technical details (drawings, specifications).

Assess resource use (resource models).Customer demographics may provide context but are not core to transforming information for a product value study.

Option A (Flow diagrams, latest cost estimate, labor reports, drawings, site plan, regulatory requirements): This is more suited for a process or construction project (e.g., flow diagrams, site plan), not a product value study.

Option B (Customer requirements, overhead cost, competitive analysis, sample components, packaging requirements, warranty information): While customer requirements and sample components are relevant, competitive analysis, packaging, and warranty are secondary; overhead cost is too specific and not a core data type for transformation.

Option C (Design objectives, original cost estimate, drawings, specifications, resource models, customer demographics): This is correct, as it includes the core data types for a product value study (design objectives, cost estimate, drawings, specifications, resource models), though customer demographics are less critical but acceptable as context.

Option D (Customer demographics, overhead cost, drawings, competitive analysis, sample components, labor reports): This includes less relevant data (customer demographics, competitive analysis, labor reports) and misses key items like design objectives and specifications.

Option C (Design objectives, original cost estimate, drawings, specifications, resource models, customer demographics) is correct, as it best aligns with the key data needed for a product value study.