Rflct

From insight to concept prioritization

Insights without a prioritization framework rarely lead to action. Reflect connects consumer insights to a quantified ranking of concept alternatives, based on expected market potential, not just appeal.

Many companies have abundant consumer insights but struggle to move from insight to decision. Which of five concepts should be prioritized? How should resources be allocated?

Reflect builds prioritization models that combine appeal data with price elasticity, competitive landscape and volume estimation. The result is not just a list sorted by appeal — but a recommendation tailored to your actual market situation.

This requires concept testing, pricing and simulation to be integrated in one process, not treated as separate steps.

Key takeaways

  • Insights without prioritization rarely lead to action
  • Combine appeal with price elasticity and volume simulation
  • Rank by market potential, not just appeal
  • Integrate concept testing, pricing and simulation in one process
  • Tailor the recommendation to the actual competitive situation

Related articles

How to evaluate concepts

Concept evaluation is not about asking consumers whether they like a concept. It is about understanding which attributes drive preference, what separates the concept from alternatives, and whether enough people accept the price point.

Product development starts with the decision context

A new product does not succeed because it is technically superior. It succeeds when it solves a decision problem better than existing alternatives, in the context where the purchase actually happens.

See related service

Discuss concept prioritization with us

Contact us
Back to Product development with data, not guesswork