Platform / Text analytics

Understand Your Customers' Voice More Deeply Than Ever Before

Understand Your Customers' Voice More Deeply Than Ever Before

Bring all open-text feedback into a single view, analyze it automatically, and prioritize actions based on impact. Less manual work, more customer insight.

Bring all open-text feedback into a single view, analyze it automatically, and prioritize actions based on impact. Less manual work, more customer insight.

A magnifying glass placed over a document with upward-pointing graphic arrows in the background, symbolizing text analysis and insights derived from large text data.

Benefits

Benefits

Less manual work

No more reading through hundreds of comments or creating summaries by hand. AI categorizes feedback, ranks themes by impact, and generates automated reports.

Automated summaries

AI highlights what matters, visualizes key insights, and produces ready-made summaries for teams and leadership. You can easily explore themes, segments, or specific time periods.

Ask the AI directly

Request any summary or report directly from the AI, securely and GDPR-compliantly, just like using a general AI tool — but built specifically for your feedback data.

Deeper insights: Surface root causes

Drill into the root causes behind recurring themes or changes in your metrics. Understand what’s driving customer sentiment and why it’s shifting.

Solutions

Solutions

Get accuracy at scale without manual work. AI analyzes sentiment and topic areas, even when a single comment includes multiple emotions or themes. Everything is visualized clearly across categories and hierarchical topic structures.

See what truly affects your customer experience metrics and by how much. Connect CX insights to business results and understand which themes lift or lower your scores.

AI turns heavy analysis into an everyday routine: 

Summaries

Distill thousands of open comments into role-specific insights (leadership, support, product, sales).

Prompting

Securely prompt the AI with your own feedback data.

Examples

  • Summarize Q3’s negative drivers into 5 bullets and propose 3 corrective actions.
  • Explain why NPS dropped in July and which team should own the follow-up actions.

WheelQ includes a large library of industry-trained language models that deeply understand sector-specific nuances and categories.

See all your feedback in one place

See all your feedback in one place

Combine every source of open-text feedback into a single view, analyze it automatically, and prioritize actions based on real impact. Integrate survey responses, digital channel feedback, tickets, emails, CRM data, and social media comments.

Combine every source of open-text feedback into a single view, analyze it automatically, and prioritize actions based on real impact. Integrate survey responses, digital channel feedback, tickets, emails, CRM data, and social media comments.

The WheelQ control view displays summaries of strengths and areas for improvement, along with an AI tool you can interact with.

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Frequently asked questions

Frequently asked questions

Yes. You can train both sentiment and topic models. This allows WheelQ’s AI to become even more accurate for your specific data and industry.

Absolutely. The AI categorizes feedback and analyzes sentiment reliably in seconds. You can also train and fine-tune the models to match your terminology and domain.

Yes. Through API integrations, you can connect nearly any modern system to WheelQ and export enriched data from WheelQ into your own reporting environments.

The impact model considers multiple factors before calculating theme impact. It analyzes which topics appear in feedback, whether comments are positive, negative, or mixed, how frequently themes are mentioned, and what scores were given. Read more about impact analytics here (in Finnish).

Less manual work, more customer insight – Try WheelQ’s text analytics.

Less manual work, more customer insight – Try WheelQ’s text analytics.