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AI-powered insights for survey comments

Updated 4 days ago

Overview

Survey AI Insights helps you understand employee feedback by automatically analyzing open-text responses and presenting structured, actionable insights.

AI Insights is available across both tabs on the Survey Reporting page:

  • Overview tab → Comment Analysis in the Scores table, Comment Summary, and Suggested Actions

  • Comments tab → Net Sentiment KPI, Topics from Comments, and Detailed Topic Analysis

Net Sentiment KPI Calculation

Net Sentiment = Positive % − Negative %

  • Positive % = (Positive / (Positive + Negative + Neutral)) × 100

  • Negative % = (Negative / (Positive + Negative + Neutral)) × 100

Instead of manually reviewing large volumes of comments, AI Insights identifies patterns, summarizes feedback, and highlights areas that require attention so you can focus on taking action.

AI Insights:

  • Identifies key topics being discussed

  • Detects sentiment (Positive, Neutral, Negative)

  • Summarizes feedback into clear insights

  • Suggests recommended actions

This allows you to move from raw feedback → actionable insights.

Where to Find AI Insights

Overview Tab

Theme and Question View – Comment Analysis

Displays AI-driven sentiment insights for each theme or question, enabling a quick understanding of feedback trends.

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Overall Comment Analysis

Summarizes employee feedback using AI by highlighting:

  • Key insights

  • Recommended actions

  • Sample comments that provide context behind the data

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Comments Tab

Net Sentiment

Displays the overall sentiment score, indicating how positive or negative the comments are.

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Topics from Comments (Bubble Chart)

Each bubble represents a topic.

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Bubble size

  • Based on the volume of comments

X-axis

  • Bubbles on the right represent more positive sentiment.

  • Bubbles on the left represent more negative sentiment.

  • Neutral or polarized topics appear toward the center.

Y-axis

  • Does not represent a specific metric.

  • Topics are positioned vertically for readability and bubble separation only.

Color coding

  • Red → Negative

  • Gray → Neutral

  • Green → Positive

Hover over a bubble to view

  • Topic name

  • Sentiment breakdown

  • Percentage of total comments

Select a bubble to view

  • Topic-level insights

  • Summary

  • Suggested actions

  • Example comments

Topic Drill-Down

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When a topic is selected, you'll see:

  • Sentiment distribution (Positive, Neutral, Negative)

  • Comment summary for the topic

  • Suggested actions

  • Example comments with sentiment and topic tags

Comment list with AI analysis

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Each comment includes:

  • Response text

  • AI-assigned sentiment (Positive, Neutral, or Negative)

  • Associated topics

Filters

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Themes

Themes represent why employees feel a certain way. These conceptual drivers are used when creating survey questions.

  • AI adoption

  • Leadership

  • Manager support

  • Communication & transparency

  • Collaboration

  • Career growth & development

  • Recognition

  • Compensation & benefits

  • Psychological safety

  • Diversity, inclusion & belonging

  • Wellbeing

  • Workload & resources

  • Purpose, mission & values

  • Innovation & agility

  • Empowerment

  • Goals & expectations

  • Organizational effectiveness & enablement

Topics = employee-expressed issues used for AI-driven insights (clustering, sentiment, bubble charts)

AI adoption

Access to AI training and support, confidence in ethical and responsible AI use, and perceptions of how AI affects productivity, creativity, workload, and job security.

Workload

How employees experience and feel about their responsibilities, deadlines, and pace of work in relation to what they can realistically manage.

Resources & tools

Access to the tools, systems, information, and support employees feel they need in order to perform their job effectively.

Role clarity & expectations

How clearly employees understand their responsibilities, priorities, expectations, decision boundaries, and what success in their role looks like.

Empowerment

The extent to which employees feel trusted and empowered to make decisions, shape their work, contribute ideas, and influence how things are done.

Flexibility & work arrangements

Experience of flexibility in where, when, and how work is done, including remote or hybrid options, schedule flexibility, and workplace arrangements.

Career progression & promotion

Opportunities for advancement, promotion clarity, and perceived fairness in career growth.

Learning & development

Availability of learning, training, coaching, and skill development that helps employees grow in their current role and prepare for future opportunities.

Manager support

The extent to which managers provide guidance, development, feedback, and day-to-day support to help employees feel supported, grow, and succeed.

Leadership trust

Confidence in senior leaders’ decisions, transparency, ethics, and ability to guide the organisation’s future.

Communication & transparency

Clarity, timeliness, and openness of communication across teams and from leadership.

Collaboration

How effectively people work together within and across teams, share knowledge, and coordinate to achieve shared goals.

Change management

How organisational changes (process, structural, policy, leadership, or technology changes) are communicated, implemented, and experienced by employees.

Psychological safety

Feeling safe to speak up, take risks, raise concerns, and make mistakes without fear of negative consequences.

Inclusion & belonging

The extent to which employees feel accepted, respected, connected, and able to be their authentic selves while being part of the organisation.

Compensation & benefits

Perceptions of fairness, competitiveness, and adequacy of total rewards in relation to role expectations and effort.

Recognition

The experience of being acknowledged, appreciated, and valued for meaningful contributions.

Wellbeing

The overall sense of physical, emotional, and mental health, including energy, stress levels, recovery, and ability to maintain personal wellbeing.

Purpose & meaning

How employees understand the impact of their work, how it connects to the organisation’s broader purpose, and whether it feels personally meaningful or fulfilling.

Data visibility & permissions

  • AI Insights respects survey sharing permissions.

  • When filters are applied (for example, department-specific sharing):

    • Users see only the relevant subset of survey data.

  • Some AI insights may not be displayed if:

    • There is insufficient data.

    • Privacy thresholds are not met.

Limitations

AI Insights may take longer to process:

  • Very large surveys (for example, surveys with 8,000 or more comments).

  • Surveys containing multiple comments longer than 500 characters.

In addition:

  • AI interpretations may vary slightly.

  • AI Insights works best when:

    • There is a sufficient number of comments.

    • Comments contain meaningful detail (more than three words).

What happens if AI is disabled?

If AI Insights is turned off:

  • Survey results remain available.

  • However, surveys that were not processed by AI will not include:

    • Sentiment analysis

    • Topics and themes

    • AI summaries

    • Recommended actions

If AI processing was previously completed for a survey, its AI Insights remain available for viewing.

What data does AI not use or infer?

To ensure privacy and trust, AI will not:

  • Identify individuals when fewer than four responses are available.

  • Infer sensitive personal attributes (for example, religion or political views).

  • Make decisions on your behalf.

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