Scientific measurementReliable dataBetter decisions

Technology & R&D

The technology behind reliable measurement.

Metriqore develops measurement and research technology to assess feedback quality, analyze open-ended data, and bring different sources of experience data into the same analysis.

Response QualityText AnalyticsSurvey QualityMultimodal Research

UNIFIED ANALYSIS

One analysis

01

Analysis layer

IntelliQore AI

Analyze open-ended feedback at scale.

Analyzes open-ended survey responses and online reviews for themes, context, sentiment, and recurring patterns so teams can see what is emerging without reading every comment manually.

02

Response quality

Authenticity Score

Do not treat every response as equally informative.

Evaluates attention, consistency, and other response-quality indicators to help distinguish stronger feedback from responses that should be treated with caution.

03

Survey quality

Survey Health Score

Check survey quality before fieldwork.

Screens survey length, question design, scale use, and respondent experience for common issues that can weaken data quality.

04

R&D

Multimodal Experience Fusion

Go beyond self-reported feedback.

Brings facial expression, voice, and movement data together with surveys and open-ended feedback within the same research design to examine experience across multiple data sources.

How it works together

Four technologies support different stages of the same research workflow.

  1. Before data collection

    Survey Health Score

    survey quality

  2. As responses come in

    Authenticity Score

    response quality

  3. During analysis

    IntelliQore AI

    open-ended feedback and review analysis

  4. For advanced research

    Multimodal Experience Fusion

    surveys + facial expression + voice + movement

A more reliable, richer view of the experience.

Measurement foundation

Technology cannot fix a weak measurement design.

That is why Metriqore technology is built on fit-for-purpose measurement, psychometric principles, response-quality checks, and meaningful comparisons.

Valid measurement

Use measures that fit the construct and the context.

Response quality

Do not assume every completed response is equally informative.

Comparable results

Compare periods, segments, or organizations only when the measurement conditions support it.

Multiple data sources

Avoid relying on a single score or a single source of evidence.

Research & development

Multimodal Experience Fusion

Bring what people say and how they respond into the same study.

We are researching how facial expression, voice, and movement data can complement surveys and open-ended feedback in experience research. This is not presented as a standard feature across every Metriqore platform. Use depends on the research design, required permissions, and context.

What people say

Surveys · Open-ended feedback

How people respond

Facial expression · Voice · Movement

Multimodal view of experience

Built into our platforms

The same technology supports different experience challenges.

01

Guest experience

Happy Guests

Response-quality checks, online review analysis, and the combined interpretation of guest experience data.

What runs on this platform

  • Response quality
  • Online review analysis
  • Combined interpretation of experience data
Explore the Platform
02

Customer research panel

Happy Customers

Panel health, response quality, and ongoing data-quality monitoring across recurring customer research.

What runs on this platform

  • Panel health
  • Response quality
  • Data-quality monitoring
Explore the Platform
03

Student experience

Happy Students

Reliable measurement, open-ended student feedback analysis, and aggregated experience patterns.

What runs on this platform

  • Reliable measurement
  • Open-ended feedback analysis
  • Aggregated experience patterns
Explore the Platform

See how Metriqore technology fits your use case.

Tell us what you measure today and what you are trying to understand. We will show you the Metriqore platform and technology most relevant to your use case.