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AI Research & Insight

AI research and insight uses qualitative research methods supported by AI analysis to understand sentiment, behaviour and experience at speed.

This approach enables organisations to act on fresh, relevant insight within days rather than weeks or months.
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Fast, actionable understanding of people, behaviour and sentiment

Organisations often rely on surveys and research methods that take weeks or months to deliver results. By the time insights arrive, sentiment has shifted and opportunities for meaningful action may already be lost.

Echo North delivers Research & Insight combining robust qualitative research techniques with AI-assisted analysis. This enables organisations to gather, analyse and act on insight rapidly, responsibly and at scale.

The result is clear understanding, actionable findings and the ability to respond while insight is still fresh and relevant.

Our Partnership with a World-Leading AI Qualitative Research Company

Echo North works in partnership with Quals AI, a specialist AI qualitative research platform designed to analyse open-ended feedback, sentiment and experience at speed.
Echo North Partner Quals AI. World Leading AI Qualitative Research Partner
The partnership combines human research expertise with AI-supported analysis, ensuring results are both reliable and usable.
Together, we enable organisations to:

• Run high-quality qualitative studies quickly
• Analyse large volumes of open feedback consistently
• Identify themes, patterns and sentiment
• Translate insight into practical actions
We can also run AI research with your team before we undertake any projects to identify common as well as unknown concerns so we can get the build right for everyone. 

About Quals AI

Quals AI is an AI-powered qualitative research platform designed to analyse open-ended feedback, sentiment and experience at speed.
It enables organisations to run high-quality qualitative studies and gain consistent insight from large volumes of written responses.

Echo North partners with Quals AI to combine robust research design with AI-supported analysis, allowing insight to be generated quickly while maintaining transparency, responsibility and human oversight.
Learn More About Quals AI
How It Works

Why AI-Supported Qualitative Research Is Different

Traditional qualitative research often involves long analysis cycles. AI-supported research changes this.
Key differences include:
• Speed: studies can be set up and analysed within as little as 24 hours
• Freshness: insight reflects current sentiment, not historic views
• Scale: large volumes of qualitative feedback can be analysed consistently
• Actionability: clear themes and practical implications emerge quickly
This allows organisations to respond while insight is still meaningful.

What You Receive With AI Research

AI Research & Insight projects typically deliver:
• Clear summaries of findings
• Identified themes and sentiment patterns
• Practical, prioritised insights
• Suggested areas for action, including quick wins

Outputs are written in accessible language and designed to support immediate decision-making.
AI Research & Insight
Fast, actionable understanding of people, behaviour and sentiment
AI Research Considerations

What You Can Identify Using AI Research

Internal Staff Research

We support organisations in understanding:

• What motivates employees
• What causes friction or dissatisfaction
• What supports productivity and effectiveness
• Where simple improvements can have immediate impact

AI-supported analysis allows results to be gathered and understood quickly, enabling early action and visible improvements.

Organisational and Operational Insight

Research & Insight can also support:

• Change programmes
• Service redesign
• Capability development
• Planning and prioritisation

Insight is grounded in real feedback rather than assumptions.

Customer and Service Experience Research

Research can explore:

• Customer sentiment and expectations
• Service experience strengths and weaknesses
• Barriers to engagement
• Opportunities for improvement

This is particularly valuable for organisations with public-facing or service-led operations.
Confidence

Responsible and Ethical Research

All research activity is conducted with attention to:

• Transparency of methods
• Appropriate handling of participant data
• Responsible use of AI as an analytical tool
• Clear explanation of limitations and context

This approach supports trust, accountability and ethical use.

Who Benefits From AI Research?

Research & Insight is suitable for:

• Organisations seeking fast, reliable insight
• Leadership teams needing evidence before change
• Public-facing services and employers
• Teams focused on workforce experience and effectiveness
Case Study

Celtic Collection - AI Supported Staff Insight

Echo North partnered with Celtic Collection to deliver a rapid, AI-supported internal staff survey focused on engagement, satisfaction and workplace effectiveness across multiple sites.
Using qualitative AI analysis, staff sentiment was captured and analysed within 24 hours, enabling leadership teams to act on insight immediately rather than waiting weeks for traditional research outputs.
Key Outcomes
• 84% staff participation rate across the properties
• Clear identification of top three drivers of engagement and dissatisfaction
• Actionable “quick wins” implemented within days
• Early improvements reported in communication clarity and role confidence

This project demonstrated how AI-supported qualitative research can provide fresh, relevant insight that supports timely decision-making and visible improvements in workforce experience.
Staff AI Research For Celtic Collection From Echo North
"The speed and clarity of the insight was a real shift for us. Instead of waiting weeks and working with CSV files, we were able to understand what our people were telling us almost immediately and start making meaningful changes."
Tracy Israel
Director of Talent & Development
Read Celtic Collection Case Study

What Your Receive

Research & Insight projects typically deliver:

• Clear summaries of findings
• Identified themes and sentiment patterns
• Practical, prioritised insights
• Suggested areas for action, including quick wins

Outputs are written in accessible language and designed to support immediate decision-making.

Frequently Asked Questions

What is AI qualitative research?

AI qualitative research uses AI tools to analyse open-ended feedback and sentiment at scale. It supports faster, more consistent analysis while keeping human interpretation and judgement central.

How quickly can research results be delivered?

Once a study is set up, analysis can often be completed within 24 hours. This allows organisations to act on insight while sentiment is still current and relevant.

Is this suitable for internal staff surveys?

Yes. AI-supported qualitative research is particularly effective for staff surveys, enabling rapid understanding of engagement, satisfaction and workplace experience.

Does AI replace researchers in this process?

No. AI supports analysis by identifying patterns and themes, but human researchers guide the study, interpret findings and shape recommendations.

Is this approach appropriate for public-facing organisations?

Yes. The method is transparent, confidential, responsible and well suited to organisations that require clear, ethical and evidence-led insight.
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