Service Desk · Module
Voice of Customer
Themes, sentiment and drivers from customer feedback, with close-the-loop tasks
Voice of Customer turns unstructured feedback from tickets, CSAT comments, call transcripts, surveys and community posts into themes, sentiment and drivers. It quantifies their association with satisfaction, churn and revenue and assigns close-the-loop tasks to the owning teams.
What it does
Voice of Customer is planned as an add-on for W3. It answers a simple question: what are customers telling us again and again, and is anyone fixing it?
From signals to themes
It ingests feedback signals from Helpdesk tickets and messages, CSAT comments, Contact Center transcripts, NPS through Forms and Survey responses. Personal data is redacted before analysis, and only redacted excerpts are stored. Full content stays in the source module under its own permissions.
Theme discovery clusters signals into themes within a human-editable taxonomy. Analysts can rename, merge and split themes. New signals are tagged automatically, and manual tags are never overwritten by the model. Sentiment and emotion are scored per signal and theme in English and the launch Indic languages. Sentiment analysis applies to customer feedback only and is never used on employees or support agents.
Drivers, with honest statistics
Driver analysis relates themes to CSAT, reopen rate, churn, renewals and revenue at risk from Billing. The results are always stated as associations with sample sizes and confidence intervals, never as causes. Every figure carries a data quality score, and themes below the minimum sample are left out of executive reports.
Closing the loop
A theme or signal can be assigned as a close-the-loop task to Support, Product or Operations, with due dates and evidence. When the fix is done, a follow-up message to affected customers can be drafted. It needs R3 approval and a consent check before sending. Theme volume is then measured after the fix.
Emerging theme alerts fire when a theme spikes against its trailing baseline. Segment views slice by product, company tier, region, channel, language and agency client. Themes also feed Customer Success health scores and Product Management, and a monthly executive report links back to evidence.
Later
W4 plans add social mentions and app store and Google Business Profile reviews through connectors, subject to each platform's API terms, plus a public ideas portal with voting.
Features
What Voice of Customer includes
Feedback signal ingestion
Tickets, messages, CSAT comments, call transcripts, NPS and survey responses.
PII redaction
Personal data removed before analysis and excerpt storage.
Theme discovery and taxonomy
Clustering with a human-editable taxonomy, merge and split, and auto-tagging of new signals.
Multilingual sentiment and emotion
Per signal and theme in English and launch Indic languages.
Driver analysis
Associations of themes with CSAT, reopen, churn, renewal and revenue at risk, with sample sizes.
Close-the-loop tasks
Assign themes to owners with due dates and draft approved follow-ups to affected customers.
Emerging theme alerts
Spike detection against a trailing baseline with a minimum count.
Segment views
By product, company tier, region, channel, language and agency client.
Signals to Customer Success and Product
Themes feed health scores, Product Management and Issues.
Executive VoC report
Monthly report with evidence links.
Data quality score
Every figure scored, with insufficient-data warnings below threshold.
Workflow
Feedback loop
- 1
Collect signals from tickets, CSAT comments, calls, NPS, surveys and community
- 2
Redact personal data
- 3
Tag themes and sentiment
- 4
Run driver analysis and spike alerts
- 5
Prioritise themes and assign close-the-loop tasks
- 6
Fix through an article, process, product issue or policy
- 7
Send an approved, consented follow-up and measure theme volume after the fix
AI
AI skills and Digital Employees
Theme discovery
Proposes and names themes for an analyst to accept.
Signal auto-tagging
Tags new signals to the taxonomy without overwriting manual tags.
Sentiment scoring
Scores sentiment per language after each eval passes.
Driver and report narratives
Writes narratives over deterministically computed statistics using association wording only.
Follow-up drafts
Drafts close-the-loop messages that need approval and consent.
Digital Employees that use this module
They act through the same governed Actions as people; risky steps wait for approval.
Frequently asked questions
Does VoC claim that a theme causes churn?
No. Driver outputs are labelled as associations with sample size and confidence. Causal language does not appear in the product or exports.
Is sentiment analysis used on our support agents?
No. Sentiment and emotion analysis applies only to customer feedback, never to employees or agents.
Who can see the underlying tickets?
Everyone in scope sees aggregated figures, but opening a source ticket or call requires permission on that source.
See Voice of Customer in your workflow
Tell us about your team and the outcomes you want. We will walk you through the apps, the Digital Employees and the plan for your industry.