Problem Statement Quality Framework

The quality of a problem statement determines the quality of the analyses, decisions, and solutions that follow. The Problem Statement Quality Framework proposes that problem statement quality can be understood through six fundamental dimensions: Conciseness, Cross-Functionality, Knowledge-Driven Representation, Atomicity, Value-Centricity, and Measurability. Together, these dimensions characterize the quality of a problem statement and identify opportunities for improvement.

Dimensions:

• Conciseness: Every word and sentence contributes meaningfully to communicating the problem, without unnecessary detail.

• Cross-Functionality: The problem can be understood and acted upon by all stakeholders involved in solving it.

• Knowledge-Driven Representation: The statement leverages the shared knowledge, theories, and terminology of its intended audience while remaining understandable.

• Atomicity:  The statement represents one and only one well-defined problem.

• Value-Centricity: The significance of solving the problem is evident through the value that would be created.

• Measurability: The statement provides objective criteria for evaluating whether the problem has been successfully solved.

Reference

Jafari, R. (2024). Optimizing the Big Data Problem Statement.