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AI USE CASE

Voice-of-customer analytics

Mine every ticket, review and survey for trends, themes and CSAT drivers.

Typical budget
€8K–€30K
Time to value
5 weeks
Effort
3–8 weeks
Monthly ongoing
€300–€2K
Minimum data maturity
basic
Technical prerequisite
spreadsheet savvy
Industries
Retail & E-commerce, SaaS, Hospitality, Finance, Healthcare
AI type
nlp

What it is

An NLP pipeline ingests support tickets, NPS verbatims, app reviews and survey responses to surface emerging themes, sentiment shifts and root causes of dissatisfaction. Product and support get a weekly heatmap of what customers actually care about.

Data you need

12 months of ticket text, survey verbatims and review data.

Required systems

  • helpdesk
  • data warehouse

Why it works

  • Weekly review ritual with product + support leads
  • Tag insights with the team accountable for fixing them

How this goes wrong

  • Insights produced but no owner to act on them
  • Topic clustering too coarse to drive product changes

When NOT to do this

Skip if you receive under 200 verbatims/month — read them yourself.

Vendors to consider

This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.