A long list of choices can create the appearance of freedom while preserving one untested assumption. Vendor A, Vendor B, and Vendor C may differ in features and price, yet all assume the organization needs to buy software. Generate Real Options examines the theory of the problem behind each option. It then seeks alternatives from other theories before asking which option is most attractive.
Consider a team struggling with a manual reporting task:
Apparent diversity: Buy Vendor A, buy Vendor B, or build an internal dashboard.
Shared assumption: The report must continue to exist in roughly its current form.
Structural diversity: Buy software; simplify the report; remove a decision nobody makes from it; automate one repetitive step; change who needs the information; or stop producing a report that is no longer used.
The point is not that “remove the report” wins. It is that the alternatives now rest on different accounts of what needs to be solved. Comparison can include the evidence each account would require.
The same issue appears in product work. “Redesign the dashboard with tabs, cards, or charts” offers interface variants. A broader set asks whether users cannot understand the data, cannot find the dashboard, do not need the decision it supports, or already get the answer elsewhere. A relationship example is “Should we talk on Sunday or Tuesday about chores?”—two timings for one kind of conversation. Another frame might ask whether the recurring friction comes from invisible planning work rather than the conversation’s timing.
A practical method is to cluster proposed options by the assumption they share. If removing a single premise would eliminate most of the list, the options are not as diverse as they look. Generate a few candidates that change the causal theory, the boundary, the actor, or the measure of success. Three strong alternatives are more valuable than twenty cosmetic variations.
Use this pattern before costly choices, when a team is enthusiastically comparing products, or after a reframing exercise has produced several candidate interpretations. Beware of novelty for its own sake. Structural diversity is useful only if the options are feasible enough to examine and relevant to the user’s aims. Also avoid presenting an AI-generated list as a verdict: a person may know constraints or values missing from the prompt. Invite selection, correction, or rejection.
Break a False Trade-Off can open an either-or choice, and Find Alternative Paths creates different routes to one higher outcome. This pattern checks the diversity of the resulting set. Validate the Frame then asks which assumptions can be tested cheaply before committing.
Related patterns
Rapid Reframe · Validate the Frame
Source
Inspired by Thomas Wedell-Wedellsborg's What's Your Problem? This is an original Patternverse procedure, not reproduced book text or an official implementation.