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The author contends that 'perfect' information does not exist and that adaptation decisions require 'decision-relevant' information rather than just accurate data. This information must align with the geographical scale and timeframes of specific policy and investment schedules while remaining scientifically credible. The paper highlights that information needs vary depending on whether the goal is identifying vulnerabilities, setting priorities, or evaluating post-implementation outcomes. To avoid the 'barrier to decision making' created by an abundance of data, the author advocates for a joint responsibility where providers and users engage in a continuous learning process to tailor information to the specific needs of the decision-making community.