03 Mar

Today, feedback no longer comes exclusively from customers.

It comes from:

  • Customers (surveys, online reviews, emails, social media, conversations…)
  • Product users (marketplace reviews, post-purchase comments, support tickets…)
  • Employees (internal barometers, HR feedback, engagement surveys, managerial verbatims…)

Everyone speaks up.
Everyone shares their experiences.
And everyone expects to be heard.

For brands, ignoring these voices means missing major opportunities for improvement, innovation, and overall performance.

No. They are fragmented.

A dissatisfied customer no longer necessarily picks up the phone:
they leave a Google review, post a comment on Instagram, or respond to a post-purchase survey.

An employee no longer expresses frustrations only during an annual review:
they respond to an internal survey or share their feelings through a collaborative tool.

A product user may give a 5-star rating to an order while reporting a technical issue through another channel.

The result: feedback is scattered and heterogeneous.

👉 Capturing only part of these signals means seeing only a fragment of reality.

The highest-performing companies know how to:

  • Quickly identify weak signals (latent dissatisfaction, emerging expectations, attrition risks)
  • Analyze the emotional tone of verbatims
  • Cross-reference customer, product, and employee feedback
  • Prioritize actions based on real impact

This capability relies on automated, multichannel, and contextualized feedback analysis.

A product issue detected in customer reviews may be confirmed by support tickets.
A drop in satisfaction may correlate with internal team disengagement.

If these data sources are not connected, analysis becomes biased.

A 360° view makes it possible to:

  • Detect inconsistencies between customer perception and internal reality
  • Align teams around concrete facts
  • Map friction points throughout the journey
  • Identify root causes rather than symptoms

The major challenge lies in unifying heterogeneous data from multiple internal and external sources into a single analysis environment.

Verbatims are rich, but unstructured.
Without the right technology, they remain underexploited.

viavoo is a multichannel semantic analysis platform that collects and processes verbatims from:

  • Customers
  • Product users
  • Employees

Thanks to its proprietary analytical AI, the solution detects:

  • Expressed sentiments
  • Recurring themes
  • Emerging trends
  • Cross-channel correlations

By combining analytical AI and generative AI, viavoo:

  • Contextualizes and categorizes verbatims
  • Presents them through dynamic dashboards
  • Provides actionable operational recommendations

By unifying the analysis of customer, product, and employee feedback, organizations can:

  • Respond more quickly to friction points
  • Improve product quality
  • Strengthen internal engagement
  • Anticipate attrition
  • Optimize the overall experience

Listening is no longer enough.
You must analyze, connect, and activate.