AI Insights Launch: Accelerating the Path to Strategic Clarity
Harness AI-powered insights to turn customer feedback into faster, more confident decisions
AI Insights is a powerful feature within Scintilla Customer Perception, building on its core strength of capturing the voice of the customer. While Customer Perception already helps uncover meaningful customer insights, AI Insights takes that understanding further, accelerating and amplifying what matters most.
Designed to surface critical patterns and themes that might otherwise go unseen, AI Insights streamlines the path from raw survey data to meaningful understanding, while preserving transparency, rigor, and control.
The result: faster insights, sharper prioritization, and more confident decisions, made possible by the launch of AI Insights from Walmart Data Ventures.
What’s AI Insights
AI Insights automatically generates a survey summary and highlights key findings based on the survey questions and defined research objectives. These insights appear in a new AI Insights tab alongside survey results and are available shortly after a survey closes.
Each insight includes direct source attribution, linking back to the survey questions and supporting evidence, so teams can clearly see the findings and its exact source.
How AI Insights works
Behind the scenes, the platform analyzes the relationship between research objectives, survey questions, and response patterns to identify meaningful themes and distinctions that align to the intent of the study. Rather than simply summarizing responses, it prioritizes findings aligned to the provided survey objective and audience context, focusing attention on what matters most.
In addition, human feedback is embedded directly into the experience. Users can upvote or downvote insights and share feedback, helping AI Insights improve accuracy and relevance over time.
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:
- Two to five key insights, each tied to the survey objectives.
- Direct traceability to the survey questions behind each insight.
- 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 platform’s core promise of turning the voice of the customer into decision teams can act on with confidence.
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