An 'assumption-based' approach relies heavily on presuppositions, unproven beliefs, or hypotheses to formulate conclusions, make decisions, or build arguments. These underlying assumptions, which may or may not be explicitly stated, shape the framework upon which subsequent reasoning and actions are constructed. The validity and reliability of assumption-based reasoning are contingent on the accuracy and soundness of these fundamental postulates. Flawed assumptions can lead to inaccurate predictions, biased analyses, and ultimately, incorrect outcomes. Critically evaluating the assumptions is, therefore, crucial.
Assumption-based meaning with examples
- The research project's conclusions were severely criticized as being assumption-based. They failed to adequately validate the core premise that all participants shared a uniform understanding of the key terms used, resulting in a significant variance in findings. This fundamental flaw rendered their analyses unreliable and ultimately undermined their study's credibility and practical applications.
- The financial model created for the new investment strategy was heavily assumption-based. Its projected profitability was predicated on consistently optimistic estimates of market growth and minimal volatility. Once the market fluctuations proved volatile, this approach collapsed, highlighting the dangers of relying on potentially unrealistic or untested presumptions in projecting long-term outcomes.
- The judge ruled against the prosecution because their case, and arguments in the trial, were too assumption-based. The evidence presented was not deemed enough to meet the burden of proof; the core argument of the prosecution leaned too heavily on presuppositions, making it difficult to convince the jury beyond a reasonable doubt, and leading to the defendants' acquittal.
- The design team found that their initial plan had been based too much on assumptions, which they realized when their design failed to meet the needs of their client. When they revised their approach, they focused on performing interviews, and using real user testing to determine the project requirements before attempting to design a solution.