The value of a reasoning method is best judged through application.
These case studies apply RESOLVE to problems drawn from practice — in agriculture, environmental governance, and public discourse about technology.
Each case study shows not just the output of the process, but where the reasoning changed. Where the initial framing was questioned. Where evidence shifted the diagnosis. Where the first instinct pointed in a different direction from where disciplined reasoning led.
Should the National Trust replace timber gates, decking, and walkways with plastic wood — and on what basis? When an organisation with a strong environmental brand makes a materials substitution without publishing a full life cycle analysis, a question arises: on what grounds is the decision defensible? This case study examines what rigorous environmental decision-making requires, and what it means when the claimed justification is absent.
AI and jobs: disaster or opportunity — or is that the wrong question? Public debate about AI and employment tends to oscillate between two poles: impending catastrophe and transformative benefit. This case study uses RESOLVE to examine whether the framing itself is the problem — and what a more structurally honest analysis of the question looks like.
Should a farmer transitioning to regenerative agriculture use glyphosate to terminate cover crops? A farmer moving away from conventional NPK farming encounters a practical dilemma: the chemical most readily available to terminate cover crops is the one most associated with the soil biology he is trying to rebuild. This case study uses RESOLVE to examine what the evidence actually says, what the real trade-offs are, and what a more defensible decision looks like.
Japanese knotweed costs the UK £165 million a year — but the science says it can’t grow through concrete and causes less structural damage than buddleia. This case study uses RESOLVE to separate the plant problem from the institutional one: the chain of surveyors, lenders, lawyers, and removal companies whose incentives keep the response disproportionate long after the evidence shifted..
These examples do not prove correctness. They show how structure makes reasoning more transparent and open to challenge.