Human-Led, AI-Accelerated

Turn qualitative text into decision-ready insight

ThematIQ is a human-led, AI-assisted thematic analysis system that accelerates analysis without sacrificing rigour, nuance, or accountability.

 

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The Challenge

When the deadline will not move, manual coding cannot keep up

If you are dealing with thousands of qualitative responses, traditional coding and analysis can take weeks. It drains specialist capacity, and when you're under pressure the work often stops at headline themes.

That is how nuance gets lost and how findings become harder to defend when they are questioned.

ThematIQ exists for the moments when you need speed and certainty.
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The Process

Human-led thematic analysis, accelerated by AI

Designed by qualitative experts at Allen + Clarke, in partnership with technology and applied AI experts Qamcom, to identify patterns and themes across large datasets.

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AI Accelerates

Sorting, clustering, pattern detection, and initial thematic structuring at scale

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Experts Refine

Analysts review and refine the thematic analysis with real judgement and context.

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QA Built In

Blind and random sampling ensures results are consistent and defensible

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Full Traceability

Every theme links back to source text — non-negotiable

The result: faster, deeper insight at scale – with reasoning you can explain and stand behind.

Trust + Transparency

Built for scrutiny, not just speed

Designed for high-stakes environments where findings may be challenged publicly, politically, legally, or through OIA/FOI processes.


  • Traceability back to source text

  • Structured QA and documented judgement points

  • Expert verification at every step

  • Human-drafted analysis reports

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"How did you reach that conclusion?"
With ThematIQ, you can answer clearly – every time.

In-Country Processing for NZ and Australia

Processing is hosted in-country, supporting data sovereignty requirements and reducing procurement and reputational risk.

NZ infrastructure for NZ data

AU infrastructure for AU data

View security specifications

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Designed For

ThematIQ is built for

Large-Scale Qualitative Datasets

Open-text surveys, submissions, stakeholder feedback, interviews.

High-Scrutiny Programmes

Findings that must stand up to public release, OIA/FOI, media, and legal risk.

Tight Decision Windows

When results must be ready in weeks, not months.

Consistency-Critical Coding

Across teams, time, or multiple coders.

Deep-Dive Analysis

Beyond headline themes – picking up segmentation, weak signals, and minority views.

Overloaded Teams

Gain speed and capacity without losing quality.

Track Record

Proven success on high-stakes, high-volume qualitative work

Allen + Clarke has delivered some of New Zealand's most complex thematic analysis projects – the kind where findings must stand up to public scrutiny and challenge.

What You Get

ThematIQ Provides

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Human-Led Accuracy

Senior analysts create codebooks, verify outputs, refine themes, and apply contextual judgement.

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Speed Without Compromise

Structured workflows, parallel review streams, and clear QA layers.

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Traceable Themes

Every theme links to source text and offers a clear audit trail for defensible decisions

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Local Secure Processing

In-country hosting within New Zealand or Australia.

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More Depth

Full datasets mean secondary themes, weak signals, and minority views surface.

Why ThematIQ

What Makes ThematIQ Different

ThematIQ vs Manual Coding

Manual coding can be punishing on capacity and introduce cross-coder variation — especially when data arrives late and deadlines are immovable.


ThematIQ reduces the manual burden so teams can focus on interpretation and decision support — not grinding through coding.

ThematIQ vs "Black-Box AI" Tools

Black-box outputs are hard to defend — and results can shift dramatically when re-run.


ThematIQ is transparent by design: traceability to source text, structured QA, documented judgement points, and human verification throughout.

ThematIQ vs DIY tools

This is not automated reporting – and it is not a tool you have to manage alone.


ThematIQ comes with structured human oversight and QA, configured project-by-project in secure environments.

Is your dataset large enough for ThematIQ?

ThematIQ is designed for organisations making high-stakes decisions from large volumes of qualitative text, where scrutiny is high and timelines are tight.

ThematIQ is perfect for datasets that fall into any of the following categories:

More than 1,000 open-text items

More than 500 long-form responses

More than two weeks to code manually

Want to check if ThematIQ is right for you?

Bring a sample of your data – or just the counts and context. We will tell you quickly whether ThematIQ is the right approach, and what is realistic for your deadline.

 

Talk To Us About Your Dataset
Q + A

Frequently Asked Questions

Is this AI-generated reporting?

No. AI helps with thematic processing (sorting, clustering, structuring). Our experts create and test the codebook, verify and refine outputs, run structured QA including blind sampling, and draft the final deliverables. Every finding is traceable back to source text.

What does the AI actually do – and what do your analysts do?

AI accelerates the heavy lifting: sorting large volumes of text and structuring responses against the codebook.

Analysts lead the work: designing the codebook, applying judgement, checking and refining classifications, running QA, and turning themes into decision-ready reporting.

How is this different from a generic AI tool?

Generic tools can be fast –but they are hard to defend. Outputs can shift when re-run, and it is often unclear how a theme was formed. ThematIQ is codebook-led, human-verified, QA-backed, and traceable.

How do you make sure the findings are accurate?

Through codebook design by senior analysts, human review and refinement of AI outputs, structured quality assurance including blind sampling and independent review, and traceability from every finding back to source text.

Can you show where a theme came from?

Yes. Every theme links back to the underlying source text, creating a clear audit trail. That means you can answer "why is this a theme?" quickly – and defend the reasoning under scrutiny.

Where is our data processed and stored?

In-country: New Zealand-based infrastructure for NZ data, Australia-based infrastructure for AU data. This supports data sovereignty requirements and reduces risk associated with offshore processing.

What kinds of datasets does it work best for?

High-volume qualitative text: open-text survey responses, public submissions, stakeholder feedback, and interview material – especially with 5,000+ items or 1,000+ long-form responses.

How do we know if ThematIQ is right for our project?

Share the dataset size (or a small sample), your key questions, and your deadline. We can quickly confirm if ThematIQ makes sense for your project.

Ready to talk about your dataset?

If you are managing large-scale qualitative analysis and want to understand what ThematIQ could do for your work, we would welcome the conversation. No sales pitch — just a straight conversation with one of our qualitative data analysis experts.

Connect With One of the Team
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