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Vadal.ai · Employee Engagement & Listening

Turn Thousands of Comments Into Clear, Actionable Insight

Let AI read, categorize and prioritize every piece of employee feedback so nothing important gets lost in the noise.

app.vadal.ai · Cases
The Cases screen in the Vadal.ai product

The problem

Why modern feedback intelligence needs AI

Open-text feedback is too voluminous to read and analyze manually.

Important signals get buried under routine comments.

Manual categorization is slow, inconsistent and subjective.

Leaders can't tell which themes are rising or fading over time.

Multilingual feedback is especially hard to analyze consistently.

The same issue gets described in many different ways.

How Vadal.ai solves this

Feedback Intelligence, reimagined

Pillar 01

AI Theme Clustering

Pillar 02

Sentiment & Emotion Scoring

Pillar 03

Priority Ranking

Pillar 04

Trend Tracking

Capability 01

Automatic Theme Clustering

Group thousands of open-text comments into coherent themes automatically, no manual tagging required.

  • Differently-worded comments about the same issue cluster together
  • No manual tagging, reading or spreadsheet coding
  • Coherent themes instead of an unreadable comment pile
app.vadal.ai · Sentiment
The Sentiment screen in the Vadal.ai product
Theme Cluster Dashboard

Capability 02

Sentiment & Emotion Analysis

Score each theme and comment for sentiment and emotional intensity to reveal not just what's said but how strongly it's felt.

  • See how strongly employees feel, not just what they say
  • Intense minority concerns aren't drowned out by routine volume
  • Emotional intensity mapped across every theme
app.vadal.ai · Analytics
The Analytics screen in the Vadal.ai product
Sentiment Intensity Heatmap

Capability 03

Priority Ranking

Surface the themes that matter most based on frequency, sentiment intensity and business impact.

  • Know exactly which themes to fix first
  • Ranking blends frequency, intensity and business impact
  • Drill into any theme to see the underlying comments
app.vadal.ai · Sentiment
The Sentiment screen in the Vadal.ai product
Priority Themes Panel

Capability 04

Multilingual Analysis

Analyze feedback consistently across languages, so global organizations get one comparable view.

  • One comparable view across every language and region
  • Consistent categorization for global organizations
  • Track how themes rise or fade over time, everywhere
app.vadal.ai · Analytics
The Analytics screen in the Vadal.ai product
Theme Trend-Over-Time View

AI inside

The intelligence working under the hood

AI Theme ClusteringAI Sentiment & Emotion ScoringAI Priority RankingAI Multilingual AnalysisAI Semantic Relationship Mapping

Business outcomes

What changes for the business

  • Dramatically Faster Feedback Analysis
  • More Consistent, Objective Categorization
  • Earlier Detection of Emerging Themes
  • Better Prioritization of What to Fix
  • Consistent Global Feedback Understanding

How teams use it

From challenge to outcome

The challenge

A multinational enterprise collected thousands of open-text comments each cycle but had no way to analyze them at scale.

The solution

Deployed Vadal.ai's Feedback Intelligence to auto-cluster, score and prioritize feedback themes.

The outcome

Faster analysis, clearer priorities, earlier detection of rising issues.

Illustrative scenario, named customer stories coming soon.

Integrations

Plays well with your stack

WorkdaySAP SuccessFactorsOracle HCMMicrosoft TeamsSlackPower BITableau

See the full integration ecosystem →

FAQs

Questions, answered

It uses natural-language processing to cluster comments by underlying theme and meaning, grouping differently-worded comments about the same issue together rather than relying on keyword matching or manual tags.

Yes, feedback is analyzed consistently across languages so global organizations get one comparable view rather than separate, incomparable analyses per region.

Themes are ranked using a combination of how often they appear, how strong the sentiment is, and their likely business impact, so a small number of intense comments isn't drowned out by routine volume.

You can drill into any theme to see the underlying comments that make it up, so the analysis is transparent and reviewable rather than an unexplained score.

Get started

Ready to understand every piece of feedback, at scale?