Define the ideal final result first

Describe the perfect outcome as if the solution already exists and costs nothing, then work backward to what could enable it.

Why it works

TRIZ’s "ideal final result" (IFR) asks: what would the system look like if the desired function were performed by the system itself, for free, with no downsides? This thought experiment is not about feasibility — it is about establishing a target that is far enough from the current state to prevent anchoring on incremental improvements. The IFR exposes which constraints are physical realities versus systemic artifacts that are actually removable.

How to do it

1. Finish this sentence: "The ideal solution would be one where [the problem] solves itself, without any system, cost, or side-effects."
2. Write 2–3 sentences describing that ideal state as if it already exists.
3. Ask: "What would have to be true about the system for this to work?" — list those enabling conditions.
4. Identify which enabling conditions are closest to achievable and use those as your design targets.

Evidence

Ideality thinking is a core TRIZ concept. It is related to the broader research on stretch goals and backward planning (implementation science), where ambitious target-setting activates wider solution search. Direct outcome evidence for the IFR framing specifically is not available. (mechanistic)

Setting the ideal too far from reality can produce demotivation rather than creative search; the technique works best when the gap is inspiring rather than paralyzing.

Common mistake

Anchoring the "ideal" on current best practice rather than the true ideal — which just produces incremental improvement and misses the structural leap the technique is designed to provoke.