Water risk information is just one potential input into decision making. While water-related tools for risk management provide important evidence, decisions are rarely based on risk information alone. Additional factors include the cultural and social value of water, as well as legal and institutional contexts, including water rights regimes that vary significantly within and across countries. As a result, there may be valid reasons why policymakers do not fully defer to the outputs of risk assessment tools, particularly when these tools do not align with broader policy objectives, legal constraints or social priorities. Moreover, different users will have different levels of risk tolerance. As such, there is no single “acceptable” level of risk, underscoring the need for flexible, context-specific approaches rather than one-size-fits-all solutions.
Developing and maintaining water risk assessment tools can be costly, making it essential for decision makers to ensure that their use delivers a clear and proportionate return on investment. The value of such tools is highest when they are applied at decision points where the costs of poor choices are large or irreversible. For public authorities, this includes use prior to major infrastructure or policy investments, where risk assessments can help avoid sunk costs; in public budget allocation and policy prioritisation, to target limited public funds more effectively; and in situations involving competing water users or sectors, where transparent, evidence-based trade-offs can help build trust and prevent disputes. For producers and agri-food companies, higher returns on investment are most likely in contexts of increasing climate variability or more frequent droughts, where tools can help prevent production and supply-chain losses, and where rising regulatory, compliance or environmental risks create exposure to fines and reputational damage. Across all actors, the potential impact of risk assessment tools is greatest in mature data environments, which support reliable analysis and enable the sustained, long-term use of tools rather than one-off applications.
There are several valid reasons why decision makers may choose not to use water risk assessment tools. In some contexts, the decision at hand does not warrant complex analysis, for example where risks are low, operations are routine, and regulatory frameworks are stable. In other cases, high levels of data or model uncertainty can make tool outputs misleading, particularly when data quality is poor, models are poorly matched to the decision context, or results convey a false sense of precision; transparency about uncertainty is therefore essential. Institutional and timing constraints can also limit uptake, including short decision cycles, limited technical capacity or fragmented authority across agencies. Practical cost-benefit considerations matter as well, as high set-up and maintenance costs, complex user requirements, or limited incremental value can outweigh potential benefits. Finally, governance and political factors play a critical role: lack of trust in tools or their developers, limited stakeholder participation, and the need for discretion and flexibility in policy decisions can all reduce reliance on risk tools. Very often, attention is placed on improving tools rather than on understanding how decisions are made. A more effective approach may be to start from decision-making needs and work backwards to the information required.