Why it matters
AI in research environments carries both significant promise and meaningful risk if not thoughtfully designed. When insights inform strategic decisions, resource allocation, and customer experience investments, it’s not enough to ask whether a model can summarize responses. The more important questions are: Can the findings be traced to their source? Do they capture meaningful signals rather than surface summary? Can they withstand scrutiny?
Applied AI in insights must be engineered for analytical integrity. Outputs must be grounded in source data, aligned with research intent, and supported by clear attribution.
AI Insights was built with this standard in mind.
Every insight includes:
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Two to five key insights, each tied to the survey objectives.
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Direct traceability to the survey questions behind each insight.
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Supporting evidence drawn directly from response data.
Instead of spending hours manually reviewing responses, teams can quickly understand key themes, validate findings through transparent sourcing, and decide what actions to take next. This feature helps accelerate presentations, inform follow-up surveys, refine future research, or guide deeper exploration across the Scintilla ecosystem.
By bringing AI Insights into Scintilla Customer Perception, this new capability strengthens the core promise of turning the voice of the customer into actionable insights to help teams act with confidence. Contact us to learn more about how your teams can tap into the voice of the customer with Customer Perception and AI Insights.
