Methodology

How we create reliable insights

No black box, no unexplainable results. deepsight delivers text analysis that you can understand, verify and present to stakeholders.

Our Principles

Methodological Foundations

Four principles that set deepsight apart from other AI tools.

Traceability

Every result is linked to original quotes. You see not just what, but also where it comes from.

  • Direct linking to source texts
  • Quote evidence for each category
  • Transparent assignment logic

Reproducibility

Same data leads to same results. Your analysis is repeatable at any time.

  • Deterministic algorithms
  • Versioned analysis parameters
  • Audit trail for all changes

Validation

You control the AI – not the other way around. Adapt categories to your requirements.

  • Interactive category adjustment
  • Feedback loop for improvements
  • Export for manual review

Transparency

No black box. You understand how results are created and can explain them.

  • Open category definitions
  • Explainable assignments
  • Documented processes
The Process

From Raw Data to Reliable Results

01

Automatic Topic Detection

deepsight analyzes your texts and automatically detects relevant topics and categories.

02

Quote-based Assignment

Each text is assigned to categories – with direct links to the original passages.

03

Interactive Validation

Review and refine the results. Adapt categories to your needs.

04

Documented Export

Export results with complete documentation – ready for reports and presentations.

Comparison

deepsight vs. Black-Box AI

Typical AI Tools

  • Results without source references
  • Non-reproducible analyses
  • No customization options
  • Intransparent algorithms
  • Difficult to explain to stakeholders

deepsight

  • Every result with quote evidence
  • Reproducible analyses
  • Full control over categories
  • Transparent assignment logic
  • Presentation-ready reports

Methodologically Sound, Securely Hosted

Learn more about our security measures and how we protect your data.

See your open responses as structure – not as a wall of text

Start directly with your own data or validate your use case with guidance – including stakeholder assurance.

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Made in Germany