Concept tests capture preference. Pilots capture usage. Synfia captures the reasoning that connects the two — before you commit the budget.
From real target groups, not from assumptions.
From concept to stop or scale.
Compared with moderated concept test rounds.
The panel liked it. The pilot users adopted it. Six months after launch, the numbers do not follow the projection. The team debates whether the idea was wrong, the execution was wrong, or the audience was wrong — without evidence, it remains a guessing game.
A rating on a concept board is not a behaviour. Focus groups are small, moderated, and biased toward "loud" participants. Pilots are self-selected. The reasoning that predicts adoption is rarely captured in a form the business can compare.
Projects move to scale on evidence that never tested the real objection.
Each iteration takes a full research cycle, not a week.
Portfolios fill with pilots nobody dares to kill.
„A concept that wins the survey is not the same as a concept someone actually pays for."
A few anecdotes from one-on-one interviews and signals from surveys. The innovation gate is green, the budget is approved, the roadmap is set. What is missing: the underlying motives — why people agree, under which conditions they would actually buy, and against which alternative they would decide.
Adoption stays below plan. In hindsight: people liked the concept but would never have actively bought it. Six- to seven-figure development costs are sunk, a year of time-to-market is gone.
AI-led conversations surface, at every gate, what people would actually do — in which situation, against which alternative, at which price. You stop weak concepts earlier and sharpen the strong ones.
YOUR ADVANTAGE — If even a single mis-launch can be avoided through deeper understanding, it quickly saves €1–3M in development and time-to-market costs. The innovation budget flows to the two concepts that hold, instead of the five that merely test well.
Synfia conducts AI-led conversations with the audiences that matter — customers, non-customers, employees, experts — at every stage of the innovation funnel. We surface the reasoning that predicts adoption, the objections that predict failure, and the segments where each applies.
Step into the role of a potential user reacting to a concept. You will experience how the AI separates polite interest from genuine adoption signals.
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Stop concepts that will not scale before the pilot is built.
Refine positioning and design against the objections you actually hear.
Know which audience will buy, adopt, or resist — and why.
Bring evidence, not opinion, to the innovation portfolio review.
„"We killed two concepts and pushed one — with evidence and decision confidence""
Head of Innovation, industrial manufacturer
In a 30-minute conversation with one of our experts, we look at your specific use case together and show where structured listening could improve the next decision on your agenda.