When should feasibility enter our idea process?

Feasibility should enter after an initial period of open exploration, then return during refinement as ideas are tested, shaped and selected. Give originality room to breathe first, but do not leave ideas floating. Clear objectives, time limits and rapid prototypes turn possibility into useful, actionable choices.

Let originality lead before feasibility narrows the field

Feasibility should not be the first filter in idea development, because early constraints can close down possibilities before they have had a fair chance to develop. Teams need permission to imagine freely, build on each other's ideas and explore beyond the obvious answer. That is where genuinely new solutions and sharper strategic directions can emerge.

Feasibility still matters. An idea without action remains fantasy, so feasibility needs to become part of the conversation once promising directions are ready to be shaped. The useful balance is not endless exploration or immediate rejection. It is a deliberate shift from broad discovery into practical testing, where the team can see which assumptions hold up and which ideas deserve further investment.

Sources: What’s next? The answer is already in the room

Use objectives, time limits and prototypes to bring ideas back to earth

Feasibility works best as a refinement tool when idea exploration has a clear objective and a clear point at which the team will synthesise what it has found. Start with a hunch or hypothesis, follow the most fruitful lines of discovery, then stop when further exploration is no longer producing meaningful new insight.

A timebox keeps discovery generous without making it endless. A few hours or a day of unconstrained thinking can create space for fresh ideas, followed by focused work on the strongest possibilities. Rapid prototyping makes that handover practical: test assumptions quickly, learn from what does not work and improve the idea. Qualitative and quantitative research, audience intelligence and other data can then sharpen creative thinking for real-world impact.

Sources: What’s next? The answer is already in the room, The importance of being curious

We put feasibility in the work, not in the way

We believe feasibility should challenge an idea at the point where it can make the idea stronger, not block imagination before the work has begun. Early exploration needs freedom to uncover possibilities that familiar assumptions would otherwise miss. But freedom without action is not enough. We use clear objectives, focused periods of discovery and research-led refinement to turn promising thinking into something useful. The teams we work with have shown the value of rapid prototyping ideas, testing assumptions quickly, learning from what does not work and iterating towards what does. That is how feasibility becomes a source of clarity rather than a reflexive no.

Sources: What’s next? The answer is already in the room, The importance of being curious

Stats

FAQs

Should feasibility be ignored during early idea development?

No. Feasibility should be delayed as the dominant filter, not removed from the process. Early exploration needs room for ideas that may initially look unfamiliar or difficult, then rapid testing can reveal what needs to change before an idea moves forward.

When should a team stop exploring ideas and start refining them?

A team should start refining when further discovery is no longer adding significant new insight, or when a pre-agreed exploration period ends. A clear objective, a working hypothesis and a time limit help teams know when to move from broad discovery to focused synthesis.

What is intelligent failing in an idea process?

Intelligent failing means testing assumptions quickly, learning from what does not work and iterating towards a better answer. It is not recklessness or permission to repeat avoidable mistakes. It is a practical way to make learning fast enough to improve ideas while there is still time to act.

How can research improve feasibility decisions for new ideas?

Research improves feasibility decisions by bringing audience insight, qualitative evidence and quantitative data into the refinement stage. That gives teams a clearer basis for honing the most interesting ideas without shutting down creative exploration too early.

Glossary

Intelligent failing
A disciplined approach to testing assumptions quickly, learning from what does not work and iterating towards a stronger idea. It treats early setbacks as useful information for improvement, rather than as a reason to stop exploring.