Narrowable

Narrowable, as an adjective, describes something that can be reduced or made smaller in width, scope, extent, or quantity. It implies a potential for constriction, limitation, or compression. The term highlights the possibility of a decrease or restriction. This can apply to physical dimensions, abstract concepts like opportunities or viewpoints, or even numerical ranges. The capacity to be narrowed suggests a degree of flexibility or malleability, allowing for adjustments and refinements. Understanding the narrowable aspect of something allows for strategic decisions in areas from resource management to contract negotiations, where limits and boundaries are carefully considered. The core idea is the ability to lessen something, often by design or through external forces.

Narrowable meaning with examples

• The project's timeline was initially extensive, but we realized its scope was narrowable. By prioritizing key deliverables and streamlining processes, we could compress the deadline and still achieve the intended outcomes. This resulted in a more efficient allocation of resources and faster delivery.
• During the budget review, the finance team identified several areas where spending was narrowable. They proposed cutting non-essential expenditures, consolidating contracts, and renegotiating terms, leading to significant cost savings without affecting core operations.
• The contract language was vague, but the legal team determined that the ambiguities were narrowable through amendments. They drafted specific clauses clarifying responsibilities and limiting liabilities, providing a more precise and defensible agreement.
• Initially, the target market was broad; however, a marketing analysis showed the pool of potential customers was narrowable. By focusing on a specific demographic with tailored messaging, the campaign's effectiveness increased, driving higher conversion rates.
• The range of potential solutions to the problem was vast, yet the facilitator was able to narrowable them by categorizing, eliminating, and combining solutions that weren't as likely to succeed, resulting in a more focused and practical approach to solving the problem.