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Brilliant Insights

With the help of AI, the platform identifies, analyses, and summarises the most important findings from surveys into team-specific insights.

A single survey can generate multiple insights. And behind each insight, there may be several questions and parameters. The platform takes the team’s overall results into account and highlights key areas — both strengths and areas with room for improvement.

Insights are based on the following parameters:

  • eNPS

  • Text comments*

  • Questions using a five-point scale (sensitive questions excluded)

  • Correlations between questions (e.g. energy factors and eNPS)

  • Historical results

  • Benchmark (Brilliant’s global benchmark or one selected by the organization)

⚠️ *Text comments are excluded from team-level insights to protect respondent anonymity.

📌 More about anonymity

Who gets access to insights?

  • Teams with at least 3 responses

  • Summaries with at least 20 responses

For summaries — such as departments, regions, countries, or similar — all text comments related to eNPS are analysed and included as an insight parameter, regardless of the topics mentioned.

Less interpretation, easier to work with results

Instead of having to interpret and analyse results question by question, the insights provide a faster path forward. It becomes easier for managers and teams to work with their results.

The insights also highlight the team’s strengths and emphasize the importance of continuing to build on them. One benefit of this is that all teams get something to work with — even a team with no identified weaknesses can focus on taking its strengths to the next level.

Focus on the right things

To ensure that insights focus on team development and areas the team and their manager can influence, we’ve established a set of criteria and rules based on our methodology. We’ve used generative AI to sort data, identify patterns, and summarise results into dynamic and engaging texts tailored to each team.

Note: In Smart Pulse reporting, no insights are shown. Instead, the platform displays how responses to the underlying questions — from the team’s previous insights — have developed over time.