A problem may become needlessly narrow because a restriction slips into its wording. “How can our team build this before Friday using our budget?” sounds like one question, but it contains several: who must do the work, what must exist, when it must exist, and which resources may be used. Remove Constraints examines those boundaries one at a time. It does not erase real limits; it asks which limits are facts and which are habits, conventions, or untested assumptions.
A practical way to apply it is to rewrite the question without one restrictive phrase and compare the resulting option space. Then restore any boundary that proves necessary. The test is not whether the broader wording sounds exciting; it is whether it reveals a feasible path that the original sentence excluded.
Initial frame: “How can I pay for this course from my monthly salary?”
Boundary under inspection: “From my monthly salary.”
Broader frame: “How can I fund this course?”
New questions: Could an employer contribute, could payment be staged, or is a different credential acceptable?
This is different from Find Alternative Paths, which might ask whether the course is needed at all to reach a higher-level goal. Here the goal of taking the course remains, while the funding restriction is tested.
Initial frame: “How can our team build the whole feature before December?”
Broader frames: “How can the capability exist before December?” and “Which part must actually work by December?”
Effect: Buying, partnering, borrowing capacity, or delivering a smaller capability become visible.
Initial frame: “I have to solve this manually in this spreadsheet.”
Broader frame: “What result do I need, and which parts genuinely require human judgment?”
Effect: A safer repeatable process may emerge even if the final decision must remain manual.
The cue is language such as “here,” “my,” “this team,” “this budget,” “before Friday,” “manually,” or “using X.” Ask who imposed each requirement and what would happen if it were relaxed. Sometimes the answer is decisive: a law, safety rule, hard physical limit, or contractual date can be real. Pretending otherwise makes the reframe irresponsible. Nor should “remove the constraint” become pressure on someone to provide labor or money they have not offered.
A useful output is a pair of frames—one respecting confirmed constraints, one omitting a questionable one—plus a question that could settle the difference. Detect a Baked-In Solution focuses on a prescribed intervention rather than a boundary. Validate the Frame can help test whether a supposedly fixed restriction is in fact negotiable.
Related patterns
Review the Frame · Generate Real Options
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.