Let's talk pricing. Over the last 30+ years, the cost of qualitative research - whether groups or IDIs has generally held steady or increased marginally.
But the research landscape, and how Redge operates, is undergoing a fundamental shift.
AI-powered tools have revolutionised our internal processes. We're seeing faster screeners, smarter discussion guide development, accelerated analysis, and more efficient reporting. A lot of the foundational tasks, particularly synthesis and write-up, are now significantly quicker thanks to technology.
However, this doesn't diminish the essential element: expert human insight. Qualitative research still demands skilled design, moderation and interpretation, nuanced judgment, and critical context – the very expertise Redge provides. The difference is, our team isn't spending hours on tasks AI can now handle efficiently.
So, here's our position: If these advancements are saving us time and resources, it's only right to pass those efficiencies on to you, our clients.
That's why Redge is reducing our qualitative research prices by 20%. We're doing this not because the inherent value of deep qualitative insight is worth less, but because we can now deliver the same depth, quality, and expert findings, more affordably than we could even a few months aga.
We believe this reflects good research practice – leveraging innovation to deliver value and efficiency.
What are your thoughts on technology like AI reshaping pricing models in professional services?
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